Background:Early systemic anticoagulation(SAC)is a common practice in acute necrotizing pancreatitis(ANP),and its impact on in-hospital clinical outcomes had been assessed.However,whether it affects long-term outcomes...Background:Early systemic anticoagulation(SAC)is a common practice in acute necrotizing pancreatitis(ANP),and its impact on in-hospital clinical outcomes had been assessed.However,whether it affects long-term outcomes is unknown.This study aimed to evaluate the effect of SAC on 90-day readmission and other long-term outcomes in ANP patients.Methods:During January 2013 and December 2018,ANP patients admitted within 7 days from the onset of abdominal pain were screened.The primary outcome was 90-day readmission after discharge.Cox proportional-hazards regression model and mediation analysis were used to define the relationship between early SAC and 90-day readmission.Results:A total of 241 ANP patients were enrolled,of whom 143 received early SAC during their hospitalization and 98 did not.Patients who received early SAC experienced a lower incidence of splanchnic venous thrombosis(SVT)[risk ratio(RR)=0.40,95%CI:0.26-0.60,P<0.01]and lower 90-day readmission with an RR of 0.61(95%CI:0.41-0.91,P=0.02)than those who did not.For the quality of life,patients who received early SAC had a significantly higher score in the subscale of vitality(P=0.03)while the other subscales were all comparable between the two groups.Multivariable Cox regression model showed that early SAC was an independent protective factor for 90-day readmission after adjusting for potential confounders with a hazard ratio of 0.57(95%CI:0.34-0.96,P=0.04).Mediation analysis showed that SVT mediated 37.0%of the early SAC-90-day readmission causality.Conclusions:The application of early SAC may reduce the risk of 90-day readmission in the survivors of ANP patients,and reduced SVT incidence might be the primary contributor.展开更多
BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has received considerable attention in the scientific community due to its impact on healthcare systems and various diseases.However,little focus has been give...BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has received considerable attention in the scientific community due to its impact on healthcare systems and various diseases.However,little focus has been given to its effect on cancer treatment.AIM To determine the effect of COVID-19 pandemic on cancer patients’care.METHODS A retrospective review of a Nationwide Readmission Database(NRD)was conducted to analyze hospitalization patterns of patients receiving inpatient chemotherapy(IPCT)during the COVID-19 pandemic in 2020.Two cohorts were defined based on readmission within 30 d and 90 d.Demographic information,readmission rates,hospital-specific variables,length of hospital stay(LOS),and treatment costs were analyzed.Comorbidities were assessed using the Elixhauser comorbidity index.Multivariate Cox regression analysis was performed to identify independent predictors of readmission.Statistical analysis was conducted using Stata■Version 16 software.As the NRD data is anonymous and cannot be used to identify patients,institutional review board approval was not required for this study.RESULTS A total of 87755 hospitalizations for IPCT were identified during the pandemic.Among the 30-day index admission cohort,55005 patients were included,with 32903 readmissions observed,resulting in a readmission rate of 59.8%.For the 90-day index admission cohort,33142 patients were included,with 24503 readmissions observed,leading to a readmission rate of 73.93%.The most common causes of readmission included encounters with chemotherapy(66.7%),neutropenia(4.36%),and sepsis(3.3%).Comorbidities were significantly higher among readmitted hospitalizations compared to index hospitalizations in both readmission cohorts.The total cost of readmission for both cohorts amounted to 1193000000.00 dollars.Major predictors of 30-day readmission included peripheral vascular disorders[Hazard ratio(HR)=1.09,P<0.05],paralysis(HR=1.26,P<0.001),and human immunodeficiency virus/acquired immuno-deficiency syndrome(HR=1.14,P=0.03).Predictors of 90-day readmission included lymphoma(HR=1.14,P<0.01),paralysis(HR=1.21,P=0.02),and peripheral vascular disorders(HR=1.15,P<0.01).CONCLUSION The COVID-19 pandemic has significantly impacted the management of patients undergoing IPCT.These findings highlight the urgent need for a more strategic approach to the care of patients receiving IPCT during pandemics.展开更多
BACKGROUND We previously reported national 30-d readmission rates of 27% in patients with decompensated cirrhosis(DC).AIM To study prospective interventions to reduce early readmissions in DC at our tertiary center.ME...BACKGROUND We previously reported national 30-d readmission rates of 27% in patients with decompensated cirrhosis(DC).AIM To study prospective interventions to reduce early readmissions in DC at our tertiary center.METHODS Adults with DC admitted July 2019 to December 2020 were enrolled and randomized into the intervention(INT) or standard of care(SOC) arms. Weekly phone calls for a month were completed. In the INT arm, case managers ensured outpatient follow-up, paracentesis, and medication compliance. Thirty-day readmission rates and reasons were compared.RESULTS Calculated sample size was not achieved due to coronavirus disease 2019;240 patients were randomized into INT and SOC arms. 30-d readmission rate was 33.75%, 35.83% in the INT vs 31.67% in the SOC arm(P = 0.59). The top reason for 30-d readmission was hepatic encephalopathy(HE, 32.10%). There was a lower rate of 30-d readmissions for HE in the INT(21%) vs SOC arm(45%, P = 0.03). There were fewer 30-d readmissions in patients who attended early outpatient follow-up(n = 17, 23.61% vs n = 55, 76.39%, P = 0.04).CONCLUSION Our 30-d readmission rate was higher than the national rate but reduced by interventions in patients with DC with HE and early outpatient follow-up. Development of interventions to reduce early readmission in patients with DC is needed.展开更多
This is an erratum to an already published paper.We found an error in the results section and Table 1.Specifically,we have revised results with n≤10 to be reflected as such,which is consistent with the reporting inst...This is an erratum to an already published paper.We found an error in the results section and Table 1.Specifically,we have revised results with n≤10 to be reflected as such,which is consistent with the reporting instructions by the Agency for Healthcare Research and Quality.Please note,these changes do not affect our results,and we had previously listed this requirement in the results section.We apologize for our unintentional mistake.展开更多
BACKGROUND Early hospital readmissions(EHRs)after kidney transplantation range in incidence from 18%-47%and are important and substantial healthcare quality indicators.EHR can adversely impact clinical outcomes such a...BACKGROUND Early hospital readmissions(EHRs)after kidney transplantation range in incidence from 18%-47%and are important and substantial healthcare quality indicators.EHR can adversely impact clinical outcomes such as graft function and patient mortality as well as healthcare costs.EHRs have been extensively studied in American healthcare systems,but these associations have not been explored within a Canadian setting.Due to significant differences in the delivery of healthcare and patient outcomes,results from American studies cannot be readily applicable to Canadian populations.A better understanding of EHR can facilitate improved discharge planning and long-term outpatient management post kidney transplant.AIM To explore the burden of EHR on kidney transplant recipients(KTRs)and the Canadian healthcare system in a large transplant centre.METHODS This single centre cohort study included 1564 KTRs recruited from January 1,2009 to December 31,2017,with a 1-year follow-up.We defined EHR as hospitalizations within 30 d or 90 d of transplant discharge,excluding elective procedures.Multivariable Cox and linear regression models were used to examine EHR,late hospital readmissions(defined as hospitalizations within 31-365 d for 30-d EHR and within 91-365 d for 90-d EHR),and outcomes including graft function and patient mortality.RESULTS In this study,307(22.4%)and 394(29.6%)KTRs had 30-d and 90-d EHRs,respectively.Factors such as having previous cases of rejection,being transplanted in more recent years,having a longer duration of dialysis pretransplant,and having an expanded criteria donor were associated with EHR post-transplant.The cumulative probability of death censored graft failure,as well as total graft failure,was higher among the 90-d EHR group as compared to patients with no EHR.While multivariable models found no significant association between EHR and patient mortality,patients with EHR were at an increased risk of late hospital readmissions,poorer kidney function throughout the 1st year post-transplant,and higher hospital-based care costs within the 1st year of follow-up.CONCLUSION EHRs are associated with suboptimal outcomes after kidney transplant and increased financial burden on the healthcare system.The results warrant the need for effective strategies to reduce post-transplant EHR.展开更多
BACKGROUND Gastrointestinal(GI)and liver diseases contribute to substantial inpatient morbidity,mortality,and healthcare resource utilization.Finding ways to reduce the economic burden of healthcare costs and the impa...BACKGROUND Gastrointestinal(GI)and liver diseases contribute to substantial inpatient morbidity,mortality,and healthcare resource utilization.Finding ways to reduce the economic burden of healthcare costs and the impact of these diseases is of crucial importance.Thirty-day readmission rates and related hospital outcomes can serve as objective measures to assess the impact of and provide further insights into the most common GI ailments.AIM To identify the thirty-day readmission rates with related predictors and outcomes of hospitalization of the most common GI and liver diseases in the United States.METHODS A cross-sectional analysis of the 2012 National Inpatient Sample was performed to identify the 13 most common GI diseases.The 2013 Nationwide Readmission Database was then queried with specific International Classification of Diseases,Ninth Revision,Clinical Modification codes.Primary outcomes were mortality(index admission,calendar-year),hospitalization costs,and thirty-day readmission and secondary outcomes were predictors of thirty-day readmission.RESULTS For the year 2013,the thirteen most common GI diseases contributed to 2.4 million index hospitalizations accounting for about$25 billion.The thirty-day readmission rates were highest for chronic liver disease(25.4%),Clostridium difficile(C.difficile)infection(23.6%),functional/motility disorders(18.5%),inflammatory bowel disease(16.3%),and GI bleeding(15.5%).The highest index and subsequent calendar-year hospitalization mortality rates were chronic liver disease(6.1%and 12.6%),C.difficile infection(2.3%and 6.1%),and GI bleeding(2.2%and 5.0%),respectively.Thirty-day readmission correlated with any subsequent admission mortality(r=0.798,P=0.001).Medicare/Medicaid insurances,≥3 Elixhauser comorbidities,and length of stay>3 d were significantly associated with thirty-day readmission for all the thirteen GI diseases.CONCLUSION Preventable and non-chronic GI disease contributed to a significant economic and health burden comparable to chronic GI conditions,providing a window of opportunity for improving healthcare delivery in reducing its burden.展开更多
BACKGROUND There are rising numbers of patients who have heart failure with preserved ejection fraction(HFpEF).Poorly understood pathophysiology of heart failure with preserved and reduced ejection fraction and due to...BACKGROUND There are rising numbers of patients who have heart failure with preserved ejection fraction(HFpEF).Poorly understood pathophysiology of heart failure with preserved and reduced ejection fraction and due to a sparsity of studies,the management of HFpEF is challenging.AIM To determine the hospital readmission rate within 30 d of acute or acute on chronic heart failure with preserved ejection fraction and its effect on mortality and burden on health care in the United States.METHODS We performed a retrospective study using the Agency for Health-care Research and Quality Health-care Cost and Utilization Project,Nationwide Readmissions Database for the year 2017.We collected data on hospital readmissions of 60514 adults hospitalized for acute or acute on chronic HFpEF.The primary outcome was the rate of all-cause readmission within 30 d of discharge.Secondary outcomes were cause of readmission,mortality rate in readmitted and index patients,length of stay,total hospitalization costs and charges.Independent risk factors for readmission were identified using Cox regression analysis.RESULTS The thirty day readmission rate was 21%.Approximately 9.17%of readmissions were in the setting of acute on chronic diastolic heart failure.Hypertensive chronic kidney disease with heart failure(1245;9.7%)was the most common readmission diagnosis.Readmitted patients had higher in-hospital mortality(7.9%vs 2.9%,P=0.000).Our study showed that Medicaid insurance,higher Charlson co-morbidity score,patient admitted to a teaching hospital and longer hospital stay were significant variables associated with higher readmission rates.Lower readmission rate was found in residents of small metropolitan or micropolitan areas,older age,female gender,and private insurance or no insurance were associated with lower risk of readmission.CONCLUSION We found that patients hospitalized for acute or acute on chronic HFpEF,the thirty day readmission rate was 21%.Readmission cases had a higher mortality rate and increased healthcare resource utilization.The most common cause of readmission was cardio-renal syndrome.展开更多
Objective:To objectively assess the effect of transitional care on readmission for patients with chronic obstructive pulmonary disease.Methods:The PubMed,Science Direct,Web of Science,Cochrane Library,CNKI,and Wanfang...Objective:To objectively assess the effect of transitional care on readmission for patients with chronic obstructive pulmonary disease.Methods:The PubMed,Science Direct,Web of Science,Cochrane Library,CNKI,and Wanfang databases were searched for relevant randomized controlled trials(RCTs) published from January 1990 through April 2016.The quality of eligible studies was assessed by two investigators.The primary outcome assessed was readmission for COPD and all-cause readmission.The pooled effect sizes were expressed as the relative risk and standard mean difference with 95%confidence intervals.Heterogeneity among studies was assessed using the Cochrane Handbook for Systematic Reviews of Interventions(Version5.1.0) and determined with an I^2 statistic.Results:A total of seven RCTs that included 1879 participants who met the inclusion criteria were analyzed.The results of subgroup analysis showed significant differences in readmission for COPD at the6 month and 18 month time points and all-cause readmission at the 18 month follow-up.Transitional care could reduce readmission for COPD at the 6 month[RR = 0.51,95%CI(0.38,0.68),P < 0.00001]and18 month time points[RR = 0.56,95%CI(0.45,0.69),P < 0.00001,and also reduce all-cause readmission after 18 months[RR = 0.72,95%CI(0.62,0.84),P < 0.0001].The reduction of all-cause readmission between the intervention and control groups in the 2nd year,however,was less than that in the 1st year.Conclusions:Transitional care is beneficial to reducing readmission for patients with COPD.Duration of≥ 6 and ≤ 18 months are more effective,and the effect weakens over intervention time,especially after the end of intervention.Both durations point to the importance of ongoing intervention and reinforcement after the end of intervention.展开更多
AIM To determine the readmission rate, its reasons, predictors, and cost of 30-d readmission in patients with cirrhosis and ascites.METHODS A retrospective analysis of the nationwide readmission database(NRD) was perf...AIM To determine the readmission rate, its reasons, predictors, and cost of 30-d readmission in patients with cirrhosis and ascites.METHODS A retrospective analysis of the nationwide readmission database(NRD) was performed during the calendar year 2013. All adults cirrhotics with a diagnosis of ascites,spontaneous bacterial peritonitis, or hepatic encephalopathy were identified by ICD-9 codes. Multivariate analysis was performed to assess predictors of 30-d readmission and cost of readmission.RESULTS Of the 59597 patients included in this study, 18319(31%) were readmitted within 30 d. Majority(58%) of readmissions were for liver related reasons. Paracentesis was performed in 29832(50%) patients on index admission. Independent predictors of 30-d readmission included age < 40(OR: 1.39; CI: 1.19-1.64), age 40-64(OR: 1.19; CI: 1.09-1.30), Medicaid(OR: 1.21; CI: 1.04-1.41) and Medicare coverage(OR: 1.13; CI: 1.02-1.26), > 3 Elixhauser comorbidity(OR: 1.13; CI: 1.05-1.22), nonalcoholic cirrhosis(OR: 1.16; CI: 1.10-1.23), paracentesis on index admission(OR: 1.28; CI: 1.21-1.36) and having hepatocellular carcinoma(OR: 1.21; CI: 1.05; 1.39). Cost of index admission was similar in patients readmitted and not readmitted(P-value: 0.34); however cost of care was significantly more on 30 d readmission($30959 ± 762) as compared to index admission($12403 ± 378), P-value: < 0.001.CONCLUSION Cirrhotic patients with ascites have a 33% chance of readmission within 30-d. Younger patients, with public insurance, nonalcoholic cirrhosis and increased comorbidity who underwent paracentesis are at increased risk of readmission. Risk factors for unplanned readmission should be targeted given these patients have higher healthcare utilization.展开更多
Objective:To determine the most influential data features and to develop machine learning approaches that best predict hospital readmissions among patients with diabetes.Methods:In this retrospective cohort study,we s...Objective:To determine the most influential data features and to develop machine learning approaches that best predict hospital readmissions among patients with diabetes.Methods:In this retrospective cohort study,we surveyed patient statistics and performed feature analysis to identify the most influential data features associated with readmissions.Classification of all-cause,30-day readmission outcomes were modeled using logistic regression,artificial neural network,and Easy Ensemble.F1 statistic,sensitivity,and positive predictive value were used to evaluate the model performance.Results:We identified 14 most influential data features(4 numeric features and 10 categorical features)and evaluated 3 machine learning models with numerous sampling methods(oversampling,undersampling,and hybrid techniques).The deep learning model offered no improvement over traditional models(logistic regression and Easy Ensemble)for predicting readmission,whereas the other two algorithms led to much smaller differences between the training and testing datasets.Conclusions:Machine learning approaches to record electronic health data offer a promising method for improving readmission prediction in patients with diabetes.But more work is needed to construct datasets with more clinical variables beyond the standard risk factors and to fine-tune and optimize machine learning models.展开更多
AIM To evaluate rates and predictors of hospital readmission and care fragmentation in patients hospitalized with gastroparesis.METHODS We identified all adult hospitalizations with a primary diagnosis of gastroparesi...AIM To evaluate rates and predictors of hospital readmission and care fragmentation in patients hospitalized with gastroparesis.METHODS We identified all adult hospitalizations with a primary diagnosis of gastroparesis in the 2010-2014 National Readmissions Database,which captures statewide readmissions.We excluded patients who died during the hospitalization,and calculated 30 and 90-d unplanned readmission and care fragmentation rates.Readmission to a non-index hospital(i.e.,different from the hospital of the index admission) was considered as care fragmentation.A multivariate Cox regression model was used to analyze predictors of 30-d readmissions.Logistic regression was used to determine hospital and patient factors independently associated with 30-d care fragmentation.Patients readmitted within 30 d were followed for 60 d post discharge from the first readmission.Mortality during the first readmission,hospitalization cost,length of stay,and rates of 60-d readmission were compared between those with and without care fragmentation.RESULTS There were 30064 admissions with a primary diagnosis of gastroparesis.The rates of 30 and 90-d readmissions were 26.8% and 45.6%,respectively.Younger age,male patient,diabetes,parenteral nutrition,≥ 4 Elixhauser comorbidities,longer hospital stay(> 5 d),large and metropolitan hospital,and Medicaid insurance were associated with increased hazards of 30-d readmissions.Gastric surgery,routine discharge and private insurance were associated with lower 30-d readmissions.The rates of 30 and 90-d care fragmentation were 28.1% and 33.8%,respectively.Younger age,longer hospital stay(> 5 d),self-pay or Medicaid insurance were associated with increased risk of 30-d care fragmentation.Diabetes,enteral tube placement,parenteral nutrition,large metropolitan hospital,and routine discharge were associated with decreased risk of 30-d fragmentation.Patients who were readmitted to a non-index hospital had longer length of stay(6.5 vs 5.8 d,P = 0.03),and higher mean hospitalization cost($15645 vs $12311,P < 0.0001),compared to those readmitted to the index hospital.There were no differences in mortality(1.0% vs 1.3%,P = 0.84),and 60-d readmission rate(55.3% vs 54.6%,P = 0.99) between the two groups.CONCLUSION Several factors are associated with the high 30-d readmission and care fragmentation in gastroparesis.Knowledge of these predictors can play a role in implementing effective preventive interventions to highrisk patients.展开更多
AIM: To identify rates of post-discharge complications(PDC), associated risk factors, and their influence on early hospital outcomes after esophagectomy.METHODS: We used the 2005-2013 American College of Surgeons Nati...AIM: To identify rates of post-discharge complications(PDC), associated risk factors, and their influence on early hospital outcomes after esophagectomy.METHODS: We used the 2005-2013 American College of Surgeons National Surgical Quality Improvement Program(ACS-NSQIP) database to identify patients ≥ 18 years of age who underwent an esophagectomy. These procedures were categorized into four operative approaches: transhiatal, Ivor-Lewis, 3-holes, and non-gastric conduit. We selected patient data based on clinical relevance to patients undergoing esophagectomy and compared demographic and clinical characteristics. The primary outcome was PDC, and secondary outcomes were hospital readmission and reoperation. The patients were then divided in 3 groups: no complication(Group 1), only pre-discharge complication(Group 2), and PDC patients(Group 3). A modified Poisson regression analysis was used to identify risk factors associated with developing postdischarge complication, and risk ratios were estimated.RESULTS: 4483 total patients were identified, with 8.9% developing PDC within 30-d after esophagectomy. Patients who experienced complications post-discharge had a median initial hospital length of stay(LOS) of 9 d; however, PDC occurred on average 14 d following surgery. Patients with PDC had greater rates of wound infection(41.0% vs 19.3%, P < 0.001), venous thromboembolism(16.3% vs 8.9%, P < 0.001), and organ space surgical site infection(17.1% vs 11.0%, P = 0.001) than patients with pre-discharge complication. The readmission rate in our entire population was 12.8%. PDC patients were overwhelmingly more likely to have a reoperation(39.5% vs 22.4%, P < 0.001) and readmission(66.9% vs 6.6%, P < 0.001). BMI 25-29.9 and BMI ≥ 30 were associated with increased risk of PDC compared to normal BMI(18.5-25).CONCLUSION: PDC after esophagectomy account for significant number of reoperations and readmissions. Efforts should be directed towards optimizing patient's health pre-discharge, with possible prevention programs at discharge.展开更多
AIM To determine the incidence of readmission after cholecystectomy using 90 d as a time limit. METHODS We retrospectively reviewed all patients undergoing cholecystectomy at the General Surgery and Digestive System S...AIM To determine the incidence of readmission after cholecystectomy using 90 d as a time limit. METHODS We retrospectively reviewed all patients undergoing cholecystectomy at the General Surgery and Digestive System Service of the University Hospital of Guadalajara, Spain. We included all patients undergoing cholecystectomy for biliary pathology who were readmitted to hospital within 90 d. We considered readmission to any hospital service as cholecystectomyrelated complications. We excluded ambulatory cholecystectomy, cholecystectomy combined with other procedures, oncologic disease active at the time of cholecystectomy, finding of malignancy in the resection specimen, and scheduled re-admissions for other unrelated pathologies. RESULTS We analyzed 1423 patients. There were 71 readmissions in the 90 d after discharge, with a readmission rate of4.99%. Sixty-four point seven nine percent occurred after elective surgery(cholelithiasis or vesicular polyps) and 35.21% after emergency surgery(acute cholecystitis or acute pancreatitis). Surgical non-biliary causes were the most frequent reasons for readmission, representing 46.48%; among them, intra-abdominal abscesses were the most common. In second place were non-surgical reasons, at 29.58%, and finally, surgical biliary reasons, at 23.94%. Regarding time for readmission, almost 50% of patients were readmitted in the first week and most second readmissions occurred during the second month. Redefining the readmissions rate to 90 d resulted in an increase in re-hospitalization, from 3.51% at 30 d to 4.99% at 90 d. CONCLUSION The use of 30-d cutoff point may underestimate the incidence of complications. The current tendency is to use 90 d as a limit to measure complications associated with any surgical procedure.展开更多
Background: Repeat hospitalizations in veterans with inflammatory bowel disease(IBD) are under studied. The early readmission rate and potentially modifiable risk-factors for 90-day readmission in veterans with IBD we...Background: Repeat hospitalizations in veterans with inflammatory bowel disease(IBD) are under studied. The early readmission rate and potentially modifiable risk-factors for 90-day readmission in veterans with IBD were studied to avert avoidable readmissions.Methods: A retrospective cohort study was conducted using the data from veterans who were admitted to the Minneapolis VA Medical Center(MVMC) between January 1, 2007, and December 31, 2013, for an IBD-related problem. All-cause readmissions within 30 and 90 days were recorded to calculate early readmission rates. The multivariate logistic regression was used to identify the potential risk factors for 90-day readmission.Results: There were 130 unique patients(56.9% with Crohn's disease and 43.1% with ulcerative colitis) with 202 IBD-related index admissions. The mean age at the time of index admission was 59.8±15.2 years. The median time to re-hospitalization was 26 days(IQR 10-49), with 30-and 90-day readmission rates of 17.3%(35/202) and 29.2%(59/202), respectively. Reasons for all-cause readmission were IBD-related(71.2%), scheduled surgery(3.4%) and non-gastrointestinal causes(25.4%). The following reasons were independently associated with 90-day readmission: Crohn's disease(OR 3.90; 95% CI 1.82-8.90), use of antidepressants(OR 2.19; 95% CI 1.12-4.32), and lack of follow-up within 90 days with a primary care physician(PCP)(OR 2.63; 95% CI 1.32-5.26) or a gastroenterologist(GI)(OR 2.44; 95% CI 1.20-5.00). 51.0% and 49.0% of patients had documentation of a recommended outpatient follow-up with PCP and/or GI, respectively.Conclusion: Early readmission in IBD is common. Independent risk factors for 90-day readmission included Crohn's disease, use of antidepressants and lack of follow-up visit with PCP or GI. Further research is required to determine if the appropriate timing of post-discharge follow-up can reduce IBD readmissions.展开更多
BACKGROUND:Readmission to intensive care unit(ICU)after discharge to ward has been reported to be associated with increased hospital mortality and longer length of stay(LOS).The objective of this study was to investig...BACKGROUND:Readmission to intensive care unit(ICU)after discharge to ward has been reported to be associated with increased hospital mortality and longer length of stay(LOS).The objective of this study was to investigate whether ICU readmission are preventable in critically ill cancer patients.METHODS:Data of patients who readmitted to intensive care unit(ICU)at National Cancer Center/Cancer Hospital of Chinese Academy of Medical Sciences(CAMS)and Peking Union Medical College(PUMC)between January 2013 and November 2016 were retrospectively collected and reviewed.RESULTS:A total of 39 patients were included in the final analysis,and the overall readmission rate between 2013 and 2016 was 1.32%(39/2,961).Of 39 patients,32(82.1%)patients were judged as unpreventable and 7(17.9%)patients were preventable.There were no significant differences in duration of mechanical ventilation,ICU LOS,hospital LOS,ICU mortality and in-hospital mortality between patients who were unpreventable and preventable.For 24 early readmission patients,7(29.2%)patients were preventable and 17(70.8%)patients were unpreventable.Patients who were late readmission were all unpreventable.There was a trend that patients who were preventable had longer 1-year survival compared with patients who were unpreventable(100%vs.66.8%,log rank=1.668,P=0.196).CONCLUSION:Most readmission patients were unpreventable,and all preventable readmissions occurred in early period after discharge to ward.There were no significant differences in short term outcomes and 1-year survival in critically ill cancer patients whose readmissions were preventable or not.展开更多
BACKGROUND Factors that are associated with the short-term rehospitalization have been investigated previously in numerous studies.However,the majority of these studies have not produced any conclusive results because...BACKGROUND Factors that are associated with the short-term rehospitalization have been investigated previously in numerous studies.However,the majority of these studies have not produced any conclusive results because of their smaller sample sizes,differences in the definition of pneumonia,joint pooling of the in-hospital and post-discharge deaths and lower generalizability.AIM To estimate the effect of various risk factors on the rate of hospital readmissions in patients with pneumonia.METHODS Systematic search was conducted in PubMed Central,EMBASE,MEDLINE,Cochrane library,ScienceDirect and Google Scholar databases and search engines from inception until July 2021.We used the Newcastle Ottawa(NO)scale to assess the quality of published studies.A meta-analysis was carried out with random-effects model and reported pooled odds ratio(OR)with 95%confidence interval(CI).RESULTS In total,17 studies with over 3 million participants were included.Majority of the studies had good to satisfactory quality as per NO scale.Male gender(pooled OR=1.22;95%CI:1.16-1.27),cancer(pooled OR=1.94;95%CI:1.61-2.34),heart failure(pooled OR=1.28;95%CI:1.20-1.37),chronic respiratory disease(pooled OR=1.37;95%CI:1.19-1.58),chronic kidney disease(pooled OR=1.38;95%CI:1.23- 1.54) and diabetes mellitus (pooled OR = 1.18;95%CI: 1.08-1.28) had statistically significantassociation with the hospital readmission rate among pneumonia patients. Sensitivity analysisshowed that there was no significant variation in the magnitude or direction of outcome,indicating lack of influence of a single study on the overall pooled estimate.CONCLUSIONMale gender and specific chronic comorbid conditions were found to be significant risk factors forhospital readmission among pneumonia patients. These results may allow clinicians and policymakersto develop better intervention strategies for the patients.展开更多
Objective:Abnormal circadian blood pressure rhythm has been revealed to be associated with hypertensive target organ damage and cardiovascular events,but its association with readmission risk in patients with heart fa...Objective:Abnormal circadian blood pressure rhythm has been revealed to be associated with hypertensive target organ damage and cardiovascular events,but its association with readmission risk in patients with heart failure with preserved ejection fraction(HFpEF)remains unknown.We conducted a retrospective study to explore the relationship between circadian blood pressure rhythm and readmission risk in HFpEF patients.Methods:We retrospectively collected baseline and follow-up data on HFpEF patients who underwent ambulatory blood pressure monitoring(ABPM)from May 2015 to October 2019.Patient circadian blood pressure rhythms defi ned by ABPM were grouped as dipper,nondipper,or riser patterns.Univariate and multivariate linear regression analyses were performed to assess the association between circadian blood pressure rhythm and readmission risk.Results:A total of 122 patients were enrolled in this study.The mean age and ejection fraction were 69.87 years and 61.44%,respectively,with mean the N-terminal pro-B-type natriuretic peptide(NT-proBNP)level being 1048.15 pg/mL.There were signifi cant differences in the 24-hour systolic blood pressure(SBP),sleep SBP,and sleep diastolic blood pressure(DBP)among the three groups,where the 24-hour SBP,sleep SBP,and sleep DBP in the riser pattern group were markedly higher than in the dipper pattern group.Notably,serum NT-proBNP levels,the proportion of patients readmitted for heart failure and the mean number of admissions differed markedly among three groups.Instructively,multivariate linear regression analysis showed that the riser pattern was a signifi cant and independent risk factor for increased serum NT-proBNP level(β=929.16,95%confi dence interval 178.79–1679.53,P=0.016).In multivariate logistic regression analysis,the riser pattern was demonstrated to be a signifi cant risk factor for readmission(odds ratio 11.23,95%confi dence interval 2.01–62.67,P=0.006)in HFpEF patients.Conclusion:The riser blood pressure pattern is a potential risk factor for elevated serum NT-proBNP level and readmission in HFpEF patients.展开更多
The present letter to the editor is a commentary on the study titled“Rates of readmission and reoperation after operative management of midshaft clavicle fractures in adolescents”.There is a debate over whether surg...The present letter to the editor is a commentary on the study titled“Rates of readmission and reoperation after operative management of midshaft clavicle fractures in adolescents”.There is a debate over whether surgical treatment of clavicle shaft fractures improves clinical outcomes in adolescents.The readmission and reoperation rates following surgery should be identified.展开更多
AIM: To investigate inpatient length of stay(LOS), complication rates, and readmission rates for sacral fracture patients based on operative approach.METHODS: All patients who presented to a large tertiary care center...AIM: To investigate inpatient length of stay(LOS), complication rates, and readmission rates for sacral fracture patients based on operative approach.METHODS: All patients who presented to a large tertiary care center with isolated sacral fractures in an 11-year period were included in a retrospective chart review. Operative approach(open reduction internal fixation vs percutaneous) was noted, as well as age, gender, race, and American Society of Anesthesiologists' score. Complications included infection, nonunion and malunion, deep venous thrombosis, and hardware problems; 90-d readmissions were broken down into infection, surgical revision of the sacral fracture, and medical complications. LOS was collected for the initial admission and readmission visits if applicable. Fisher's exact and non-parametric t-tests(Mann-Whitney U tests) were employed to compare LOS, complications, and readmissions between open and percutaneous approaches.RESULTS: Ninety-four patients with isolated sacral fractures were identified: 31(30.4%) who underwentopen reduction and internal fixation(ORIF) vs 63(67.0%) who underwent percutaneous fixation. There was a significant difference in LOS based on operative approach: 9.1 d for ORIF patients vs 6.1 d for percutaneous patients(P = 0.043), amounting to a difference in cost of $13590. Ten patients in the study developed complications, with no significant difference in complication rates or reasons for complications between the two groups(19.4% for ORIF patients vs 6.3% for percutaneous patients). Eight patients were readmitted, with no significant difference in readmission rates or reasons for readmission between the two groups(9.5% percutaneous vs 6.5% ORIF).CONCLUSION: There is a significant difference in LOS based on operative approach for sacral fracture patients. Given similar complications and readmission rates, we recommend a percutaneous approach.展开更多
It is estimated that more than one million heart failure hospitalizations occur each year.Systolic heart failure and heart failure with preserved ejection fraction contribute equally to heart failure hospitalizations....It is estimated that more than one million heart failure hospitalizations occur each year.Systolic heart failure and heart failure with preserved ejection fraction contribute equally to heart failure hospitalizations.Heart failure readmission rates continue to be about 25%.Strategies to reduce heart failure readmission are key to reducing hospitalization rates.The strategies to reduce heart failure hospitalization are as follows:(1)During hospitalization,diuresis to the euvolemic state is essential.Fifty percent of discharged heart failure patients have minimal weight loss during the hospitalization,representing minimal diuresis,but still fl uid overload.(2)During hospitalization,interrogate the defi brillator or biventricular pacemaker(if applicable)to ensure that there is no right ventricular pacing and there is appropriate biventricular pacing.Interrogation of devices can identify arrhythmia or suboptimal biventricular pacing,which can contribute to decompensation.(3)Before discharge,identify the reason for decompensation,such as atrial fibrillation,infection,pulmonary embolism,or noncompliance.(4)Before discharge a multidisciplinary team is needed to educate the patient on diet,medications,fl uid weight surveillance,and exercise.(5)A postdischarge visit should occur within 10 days and with emphasis on uptitration of neurohormonal blockers and continued congestion management.Such interventions conducted by a multidisciplinary team have the potential to reduce heart failure hospitalization rates.展开更多
基金supported by grants from the National Natural Science Foundation of China (82070665 and 81900592)
文摘Background:Early systemic anticoagulation(SAC)is a common practice in acute necrotizing pancreatitis(ANP),and its impact on in-hospital clinical outcomes had been assessed.However,whether it affects long-term outcomes is unknown.This study aimed to evaluate the effect of SAC on 90-day readmission and other long-term outcomes in ANP patients.Methods:During January 2013 and December 2018,ANP patients admitted within 7 days from the onset of abdominal pain were screened.The primary outcome was 90-day readmission after discharge.Cox proportional-hazards regression model and mediation analysis were used to define the relationship between early SAC and 90-day readmission.Results:A total of 241 ANP patients were enrolled,of whom 143 received early SAC during their hospitalization and 98 did not.Patients who received early SAC experienced a lower incidence of splanchnic venous thrombosis(SVT)[risk ratio(RR)=0.40,95%CI:0.26-0.60,P<0.01]and lower 90-day readmission with an RR of 0.61(95%CI:0.41-0.91,P=0.02)than those who did not.For the quality of life,patients who received early SAC had a significantly higher score in the subscale of vitality(P=0.03)while the other subscales were all comparable between the two groups.Multivariable Cox regression model showed that early SAC was an independent protective factor for 90-day readmission after adjusting for potential confounders with a hazard ratio of 0.57(95%CI:0.34-0.96,P=0.04).Mediation analysis showed that SVT mediated 37.0%of the early SAC-90-day readmission causality.Conclusions:The application of early SAC may reduce the risk of 90-day readmission in the survivors of ANP patients,and reduced SVT incidence might be the primary contributor.
文摘BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has received considerable attention in the scientific community due to its impact on healthcare systems and various diseases.However,little focus has been given to its effect on cancer treatment.AIM To determine the effect of COVID-19 pandemic on cancer patients’care.METHODS A retrospective review of a Nationwide Readmission Database(NRD)was conducted to analyze hospitalization patterns of patients receiving inpatient chemotherapy(IPCT)during the COVID-19 pandemic in 2020.Two cohorts were defined based on readmission within 30 d and 90 d.Demographic information,readmission rates,hospital-specific variables,length of hospital stay(LOS),and treatment costs were analyzed.Comorbidities were assessed using the Elixhauser comorbidity index.Multivariate Cox regression analysis was performed to identify independent predictors of readmission.Statistical analysis was conducted using Stata■Version 16 software.As the NRD data is anonymous and cannot be used to identify patients,institutional review board approval was not required for this study.RESULTS A total of 87755 hospitalizations for IPCT were identified during the pandemic.Among the 30-day index admission cohort,55005 patients were included,with 32903 readmissions observed,resulting in a readmission rate of 59.8%.For the 90-day index admission cohort,33142 patients were included,with 24503 readmissions observed,leading to a readmission rate of 73.93%.The most common causes of readmission included encounters with chemotherapy(66.7%),neutropenia(4.36%),and sepsis(3.3%).Comorbidities were significantly higher among readmitted hospitalizations compared to index hospitalizations in both readmission cohorts.The total cost of readmission for both cohorts amounted to 1193000000.00 dollars.Major predictors of 30-day readmission included peripheral vascular disorders[Hazard ratio(HR)=1.09,P<0.05],paralysis(HR=1.26,P<0.001),and human immunodeficiency virus/acquired immuno-deficiency syndrome(HR=1.14,P=0.03).Predictors of 90-day readmission included lymphoma(HR=1.14,P<0.01),paralysis(HR=1.21,P=0.02),and peripheral vascular disorders(HR=1.15,P<0.01).CONCLUSION The COVID-19 pandemic has significantly impacted the management of patients undergoing IPCT.These findings highlight the urgent need for a more strategic approach to the care of patients receiving IPCT during pandemics.
基金GASTR29:Prospective validation of readmission risk score and interventions to prevent readmission in patients with decompensated cirrhosis(CCTS ID#:6018).
文摘BACKGROUND We previously reported national 30-d readmission rates of 27% in patients with decompensated cirrhosis(DC).AIM To study prospective interventions to reduce early readmissions in DC at our tertiary center.METHODS Adults with DC admitted July 2019 to December 2020 were enrolled and randomized into the intervention(INT) or standard of care(SOC) arms. Weekly phone calls for a month were completed. In the INT arm, case managers ensured outpatient follow-up, paracentesis, and medication compliance. Thirty-day readmission rates and reasons were compared.RESULTS Calculated sample size was not achieved due to coronavirus disease 2019;240 patients were randomized into INT and SOC arms. 30-d readmission rate was 33.75%, 35.83% in the INT vs 31.67% in the SOC arm(P = 0.59). The top reason for 30-d readmission was hepatic encephalopathy(HE, 32.10%). There was a lower rate of 30-d readmissions for HE in the INT(21%) vs SOC arm(45%, P = 0.03). There were fewer 30-d readmissions in patients who attended early outpatient follow-up(n = 17, 23.61% vs n = 55, 76.39%, P = 0.04).CONCLUSION Our 30-d readmission rate was higher than the national rate but reduced by interventions in patients with DC with HE and early outpatient follow-up. Development of interventions to reduce early readmission in patients with DC is needed.
文摘This is an erratum to an already published paper.We found an error in the results section and Table 1.Specifically,we have revised results with n≤10 to be reflected as such,which is consistent with the reporting instructions by the Agency for Healthcare Research and Quality.Please note,these changes do not affect our results,and we had previously listed this requirement in the results section.We apologize for our unintentional mistake.
基金The study was reviewed and approved by the University Health Network Institutional Review Board.
文摘BACKGROUND Early hospital readmissions(EHRs)after kidney transplantation range in incidence from 18%-47%and are important and substantial healthcare quality indicators.EHR can adversely impact clinical outcomes such as graft function and patient mortality as well as healthcare costs.EHRs have been extensively studied in American healthcare systems,but these associations have not been explored within a Canadian setting.Due to significant differences in the delivery of healthcare and patient outcomes,results from American studies cannot be readily applicable to Canadian populations.A better understanding of EHR can facilitate improved discharge planning and long-term outpatient management post kidney transplant.AIM To explore the burden of EHR on kidney transplant recipients(KTRs)and the Canadian healthcare system in a large transplant centre.METHODS This single centre cohort study included 1564 KTRs recruited from January 1,2009 to December 31,2017,with a 1-year follow-up.We defined EHR as hospitalizations within 30 d or 90 d of transplant discharge,excluding elective procedures.Multivariable Cox and linear regression models were used to examine EHR,late hospital readmissions(defined as hospitalizations within 31-365 d for 30-d EHR and within 91-365 d for 90-d EHR),and outcomes including graft function and patient mortality.RESULTS In this study,307(22.4%)and 394(29.6%)KTRs had 30-d and 90-d EHRs,respectively.Factors such as having previous cases of rejection,being transplanted in more recent years,having a longer duration of dialysis pretransplant,and having an expanded criteria donor were associated with EHR post-transplant.The cumulative probability of death censored graft failure,as well as total graft failure,was higher among the 90-d EHR group as compared to patients with no EHR.While multivariable models found no significant association between EHR and patient mortality,patients with EHR were at an increased risk of late hospital readmissions,poorer kidney function throughout the 1st year post-transplant,and higher hospital-based care costs within the 1st year of follow-up.CONCLUSION EHRs are associated with suboptimal outcomes after kidney transplant and increased financial burden on the healthcare system.The results warrant the need for effective strategies to reduce post-transplant EHR.
文摘BACKGROUND Gastrointestinal(GI)and liver diseases contribute to substantial inpatient morbidity,mortality,and healthcare resource utilization.Finding ways to reduce the economic burden of healthcare costs and the impact of these diseases is of crucial importance.Thirty-day readmission rates and related hospital outcomes can serve as objective measures to assess the impact of and provide further insights into the most common GI ailments.AIM To identify the thirty-day readmission rates with related predictors and outcomes of hospitalization of the most common GI and liver diseases in the United States.METHODS A cross-sectional analysis of the 2012 National Inpatient Sample was performed to identify the 13 most common GI diseases.The 2013 Nationwide Readmission Database was then queried with specific International Classification of Diseases,Ninth Revision,Clinical Modification codes.Primary outcomes were mortality(index admission,calendar-year),hospitalization costs,and thirty-day readmission and secondary outcomes were predictors of thirty-day readmission.RESULTS For the year 2013,the thirteen most common GI diseases contributed to 2.4 million index hospitalizations accounting for about$25 billion.The thirty-day readmission rates were highest for chronic liver disease(25.4%),Clostridium difficile(C.difficile)infection(23.6%),functional/motility disorders(18.5%),inflammatory bowel disease(16.3%),and GI bleeding(15.5%).The highest index and subsequent calendar-year hospitalization mortality rates were chronic liver disease(6.1%and 12.6%),C.difficile infection(2.3%and 6.1%),and GI bleeding(2.2%and 5.0%),respectively.Thirty-day readmission correlated with any subsequent admission mortality(r=0.798,P=0.001).Medicare/Medicaid insurances,≥3 Elixhauser comorbidities,and length of stay>3 d were significantly associated with thirty-day readmission for all the thirteen GI diseases.CONCLUSION Preventable and non-chronic GI disease contributed to a significant economic and health burden comparable to chronic GI conditions,providing a window of opportunity for improving healthcare delivery in reducing its burden.
文摘BACKGROUND There are rising numbers of patients who have heart failure with preserved ejection fraction(HFpEF).Poorly understood pathophysiology of heart failure with preserved and reduced ejection fraction and due to a sparsity of studies,the management of HFpEF is challenging.AIM To determine the hospital readmission rate within 30 d of acute or acute on chronic heart failure with preserved ejection fraction and its effect on mortality and burden on health care in the United States.METHODS We performed a retrospective study using the Agency for Health-care Research and Quality Health-care Cost and Utilization Project,Nationwide Readmissions Database for the year 2017.We collected data on hospital readmissions of 60514 adults hospitalized for acute or acute on chronic HFpEF.The primary outcome was the rate of all-cause readmission within 30 d of discharge.Secondary outcomes were cause of readmission,mortality rate in readmitted and index patients,length of stay,total hospitalization costs and charges.Independent risk factors for readmission were identified using Cox regression analysis.RESULTS The thirty day readmission rate was 21%.Approximately 9.17%of readmissions were in the setting of acute on chronic diastolic heart failure.Hypertensive chronic kidney disease with heart failure(1245;9.7%)was the most common readmission diagnosis.Readmitted patients had higher in-hospital mortality(7.9%vs 2.9%,P=0.000).Our study showed that Medicaid insurance,higher Charlson co-morbidity score,patient admitted to a teaching hospital and longer hospital stay were significant variables associated with higher readmission rates.Lower readmission rate was found in residents of small metropolitan or micropolitan areas,older age,female gender,and private insurance or no insurance were associated with lower risk of readmission.CONCLUSION We found that patients hospitalized for acute or acute on chronic HFpEF,the thirty day readmission rate was 21%.Readmission cases had a higher mortality rate and increased healthcare resource utilization.The most common cause of readmission was cardio-renal syndrome.
基金Funding from Jiangsu Provincial Commission of Health and Family Planning Foundation(H2015032)
文摘Objective:To objectively assess the effect of transitional care on readmission for patients with chronic obstructive pulmonary disease.Methods:The PubMed,Science Direct,Web of Science,Cochrane Library,CNKI,and Wanfang databases were searched for relevant randomized controlled trials(RCTs) published from January 1990 through April 2016.The quality of eligible studies was assessed by two investigators.The primary outcome assessed was readmission for COPD and all-cause readmission.The pooled effect sizes were expressed as the relative risk and standard mean difference with 95%confidence intervals.Heterogeneity among studies was assessed using the Cochrane Handbook for Systematic Reviews of Interventions(Version5.1.0) and determined with an I^2 statistic.Results:A total of seven RCTs that included 1879 participants who met the inclusion criteria were analyzed.The results of subgroup analysis showed significant differences in readmission for COPD at the6 month and 18 month time points and all-cause readmission at the 18 month follow-up.Transitional care could reduce readmission for COPD at the 6 month[RR = 0.51,95%CI(0.38,0.68),P < 0.00001]and18 month time points[RR = 0.56,95%CI(0.45,0.69),P < 0.00001,and also reduce all-cause readmission after 18 months[RR = 0.72,95%CI(0.62,0.84),P < 0.0001].The reduction of all-cause readmission between the intervention and control groups in the 2nd year,however,was less than that in the 1st year.Conclusions:Transitional care is beneficial to reducing readmission for patients with COPD.Duration of≥ 6 and ≤ 18 months are more effective,and the effect weakens over intervention time,especially after the end of intervention.Both durations point to the importance of ongoing intervention and reinforcement after the end of intervention.
文摘AIM To determine the readmission rate, its reasons, predictors, and cost of 30-d readmission in patients with cirrhosis and ascites.METHODS A retrospective analysis of the nationwide readmission database(NRD) was performed during the calendar year 2013. All adults cirrhotics with a diagnosis of ascites,spontaneous bacterial peritonitis, or hepatic encephalopathy were identified by ICD-9 codes. Multivariate analysis was performed to assess predictors of 30-d readmission and cost of readmission.RESULTS Of the 59597 patients included in this study, 18319(31%) were readmitted within 30 d. Majority(58%) of readmissions were for liver related reasons. Paracentesis was performed in 29832(50%) patients on index admission. Independent predictors of 30-d readmission included age < 40(OR: 1.39; CI: 1.19-1.64), age 40-64(OR: 1.19; CI: 1.09-1.30), Medicaid(OR: 1.21; CI: 1.04-1.41) and Medicare coverage(OR: 1.13; CI: 1.02-1.26), > 3 Elixhauser comorbidity(OR: 1.13; CI: 1.05-1.22), nonalcoholic cirrhosis(OR: 1.16; CI: 1.10-1.23), paracentesis on index admission(OR: 1.28; CI: 1.21-1.36) and having hepatocellular carcinoma(OR: 1.21; CI: 1.05; 1.39). Cost of index admission was similar in patients readmitted and not readmitted(P-value: 0.34); however cost of care was significantly more on 30 d readmission($30959 ± 762) as compared to index admission($12403 ± 378), P-value: < 0.001.CONCLUSION Cirrhotic patients with ascites have a 33% chance of readmission within 30-d. Younger patients, with public insurance, nonalcoholic cirrhosis and increased comorbidity who underwent paracentesis are at increased risk of readmission. Risk factors for unplanned readmission should be targeted given these patients have higher healthcare utilization.
基金supported in part by the Key Research and Development Program for Guangdong Province(No.2019B010136001)in part by Hainan Major Science and Technology Projects(No.ZDKJ2019010)+3 种基金in part by the National Key Research and Development Program of China(No.2016YFB0800803 and No.2018YFB1004005)in part by National Natural Science Foundation of China(No.81960565,No.81260139,No.81060073,No.81560275,No.61562021,No.30560161 and No.61872110)in part by Hainan Special Projects of Social Development(No.ZDYF2018103 and No.2015SF 39)in part by Hainan Association for Academic Excellence Youth Science and Technology Innovation Program(No.201515)
文摘Objective:To determine the most influential data features and to develop machine learning approaches that best predict hospital readmissions among patients with diabetes.Methods:In this retrospective cohort study,we surveyed patient statistics and performed feature analysis to identify the most influential data features associated with readmissions.Classification of all-cause,30-day readmission outcomes were modeled using logistic regression,artificial neural network,and Easy Ensemble.F1 statistic,sensitivity,and positive predictive value were used to evaluate the model performance.Results:We identified 14 most influential data features(4 numeric features and 10 categorical features)and evaluated 3 machine learning models with numerous sampling methods(oversampling,undersampling,and hybrid techniques).The deep learning model offered no improvement over traditional models(logistic regression and Easy Ensemble)for predicting readmission,whereas the other two algorithms led to much smaller differences between the training and testing datasets.Conclusions:Machine learning approaches to record electronic health data offer a promising method for improving readmission prediction in patients with diabetes.But more work is needed to construct datasets with more clinical variables beyond the standard risk factors and to fine-tune and optimize machine learning models.
文摘AIM To evaluate rates and predictors of hospital readmission and care fragmentation in patients hospitalized with gastroparesis.METHODS We identified all adult hospitalizations with a primary diagnosis of gastroparesis in the 2010-2014 National Readmissions Database,which captures statewide readmissions.We excluded patients who died during the hospitalization,and calculated 30 and 90-d unplanned readmission and care fragmentation rates.Readmission to a non-index hospital(i.e.,different from the hospital of the index admission) was considered as care fragmentation.A multivariate Cox regression model was used to analyze predictors of 30-d readmissions.Logistic regression was used to determine hospital and patient factors independently associated with 30-d care fragmentation.Patients readmitted within 30 d were followed for 60 d post discharge from the first readmission.Mortality during the first readmission,hospitalization cost,length of stay,and rates of 60-d readmission were compared between those with and without care fragmentation.RESULTS There were 30064 admissions with a primary diagnosis of gastroparesis.The rates of 30 and 90-d readmissions were 26.8% and 45.6%,respectively.Younger age,male patient,diabetes,parenteral nutrition,≥ 4 Elixhauser comorbidities,longer hospital stay(> 5 d),large and metropolitan hospital,and Medicaid insurance were associated with increased hazards of 30-d readmissions.Gastric surgery,routine discharge and private insurance were associated with lower 30-d readmissions.The rates of 30 and 90-d care fragmentation were 28.1% and 33.8%,respectively.Younger age,longer hospital stay(> 5 d),self-pay or Medicaid insurance were associated with increased risk of 30-d care fragmentation.Diabetes,enteral tube placement,parenteral nutrition,large metropolitan hospital,and routine discharge were associated with decreased risk of 30-d fragmentation.Patients who were readmitted to a non-index hospital had longer length of stay(6.5 vs 5.8 d,P = 0.03),and higher mean hospitalization cost($15645 vs $12311,P < 0.0001),compared to those readmitted to the index hospital.There were no differences in mortality(1.0% vs 1.3%,P = 0.84),and 60-d readmission rate(55.3% vs 54.6%,P = 0.99) between the two groups.CONCLUSION Several factors are associated with the high 30-d readmission and care fragmentation in gastroparesis.Knowledge of these predictors can play a role in implementing effective preventive interventions to highrisk patients.
文摘AIM: To identify rates of post-discharge complications(PDC), associated risk factors, and their influence on early hospital outcomes after esophagectomy.METHODS: We used the 2005-2013 American College of Surgeons National Surgical Quality Improvement Program(ACS-NSQIP) database to identify patients ≥ 18 years of age who underwent an esophagectomy. These procedures were categorized into four operative approaches: transhiatal, Ivor-Lewis, 3-holes, and non-gastric conduit. We selected patient data based on clinical relevance to patients undergoing esophagectomy and compared demographic and clinical characteristics. The primary outcome was PDC, and secondary outcomes were hospital readmission and reoperation. The patients were then divided in 3 groups: no complication(Group 1), only pre-discharge complication(Group 2), and PDC patients(Group 3). A modified Poisson regression analysis was used to identify risk factors associated with developing postdischarge complication, and risk ratios were estimated.RESULTS: 4483 total patients were identified, with 8.9% developing PDC within 30-d after esophagectomy. Patients who experienced complications post-discharge had a median initial hospital length of stay(LOS) of 9 d; however, PDC occurred on average 14 d following surgery. Patients with PDC had greater rates of wound infection(41.0% vs 19.3%, P < 0.001), venous thromboembolism(16.3% vs 8.9%, P < 0.001), and organ space surgical site infection(17.1% vs 11.0%, P = 0.001) than patients with pre-discharge complication. The readmission rate in our entire population was 12.8%. PDC patients were overwhelmingly more likely to have a reoperation(39.5% vs 22.4%, P < 0.001) and readmission(66.9% vs 6.6%, P < 0.001). BMI 25-29.9 and BMI ≥ 30 were associated with increased risk of PDC compared to normal BMI(18.5-25).CONCLUSION: PDC after esophagectomy account for significant number of reoperations and readmissions. Efforts should be directed towards optimizing patient's health pre-discharge, with possible prevention programs at discharge.
文摘AIM To determine the incidence of readmission after cholecystectomy using 90 d as a time limit. METHODS We retrospectively reviewed all patients undergoing cholecystectomy at the General Surgery and Digestive System Service of the University Hospital of Guadalajara, Spain. We included all patients undergoing cholecystectomy for biliary pathology who were readmitted to hospital within 90 d. We considered readmission to any hospital service as cholecystectomyrelated complications. We excluded ambulatory cholecystectomy, cholecystectomy combined with other procedures, oncologic disease active at the time of cholecystectomy, finding of malignancy in the resection specimen, and scheduled re-admissions for other unrelated pathologies. RESULTS We analyzed 1423 patients. There were 71 readmissions in the 90 d after discharge, with a readmission rate of4.99%. Sixty-four point seven nine percent occurred after elective surgery(cholelithiasis or vesicular polyps) and 35.21% after emergency surgery(acute cholecystitis or acute pancreatitis). Surgical non-biliary causes were the most frequent reasons for readmission, representing 46.48%; among them, intra-abdominal abscesses were the most common. In second place were non-surgical reasons, at 29.58%, and finally, surgical biliary reasons, at 23.94%. Regarding time for readmission, almost 50% of patients were readmitted in the first week and most second readmissions occurred during the second month. Redefining the readmissions rate to 90 d resulted in an increase in re-hospitalization, from 3.51% at 30 d to 4.99% at 90 d. CONCLUSION The use of 30-d cutoff point may underestimate the incidence of complications. The current tendency is to use 90 d as a limit to measure complications associated with any surgical procedure.
基金supported by the Department of Veterans Affairs, and the Minneapolis Health Services Research and Development (HSR&D) Service Center of Innovation and VA Health Care System
文摘Background: Repeat hospitalizations in veterans with inflammatory bowel disease(IBD) are under studied. The early readmission rate and potentially modifiable risk-factors for 90-day readmission in veterans with IBD were studied to avert avoidable readmissions.Methods: A retrospective cohort study was conducted using the data from veterans who were admitted to the Minneapolis VA Medical Center(MVMC) between January 1, 2007, and December 31, 2013, for an IBD-related problem. All-cause readmissions within 30 and 90 days were recorded to calculate early readmission rates. The multivariate logistic regression was used to identify the potential risk factors for 90-day readmission.Results: There were 130 unique patients(56.9% with Crohn's disease and 43.1% with ulcerative colitis) with 202 IBD-related index admissions. The mean age at the time of index admission was 59.8±15.2 years. The median time to re-hospitalization was 26 days(IQR 10-49), with 30-and 90-day readmission rates of 17.3%(35/202) and 29.2%(59/202), respectively. Reasons for all-cause readmission were IBD-related(71.2%), scheduled surgery(3.4%) and non-gastrointestinal causes(25.4%). The following reasons were independently associated with 90-day readmission: Crohn's disease(OR 3.90; 95% CI 1.82-8.90), use of antidepressants(OR 2.19; 95% CI 1.12-4.32), and lack of follow-up within 90 days with a primary care physician(PCP)(OR 2.63; 95% CI 1.32-5.26) or a gastroenterologist(GI)(OR 2.44; 95% CI 1.20-5.00). 51.0% and 49.0% of patients had documentation of a recommended outpatient follow-up with PCP and/or GI, respectively.Conclusion: Early readmission in IBD is common. Independent risk factors for 90-day readmission included Crohn's disease, use of antidepressants and lack of follow-up visit with PCP or GI. Further research is required to determine if the appropriate timing of post-discharge follow-up can reduce IBD readmissions.
文摘BACKGROUND:Readmission to intensive care unit(ICU)after discharge to ward has been reported to be associated with increased hospital mortality and longer length of stay(LOS).The objective of this study was to investigate whether ICU readmission are preventable in critically ill cancer patients.METHODS:Data of patients who readmitted to intensive care unit(ICU)at National Cancer Center/Cancer Hospital of Chinese Academy of Medical Sciences(CAMS)and Peking Union Medical College(PUMC)between January 2013 and November 2016 were retrospectively collected and reviewed.RESULTS:A total of 39 patients were included in the final analysis,and the overall readmission rate between 2013 and 2016 was 1.32%(39/2,961).Of 39 patients,32(82.1%)patients were judged as unpreventable and 7(17.9%)patients were preventable.There were no significant differences in duration of mechanical ventilation,ICU LOS,hospital LOS,ICU mortality and in-hospital mortality between patients who were unpreventable and preventable.For 24 early readmission patients,7(29.2%)patients were preventable and 17(70.8%)patients were unpreventable.Patients who were late readmission were all unpreventable.There was a trend that patients who were preventable had longer 1-year survival compared with patients who were unpreventable(100%vs.66.8%,log rank=1.668,P=0.196).CONCLUSION:Most readmission patients were unpreventable,and all preventable readmissions occurred in early period after discharge to ward.There were no significant differences in short term outcomes and 1-year survival in critically ill cancer patients whose readmissions were preventable or not.
文摘BACKGROUND Factors that are associated with the short-term rehospitalization have been investigated previously in numerous studies.However,the majority of these studies have not produced any conclusive results because of their smaller sample sizes,differences in the definition of pneumonia,joint pooling of the in-hospital and post-discharge deaths and lower generalizability.AIM To estimate the effect of various risk factors on the rate of hospital readmissions in patients with pneumonia.METHODS Systematic search was conducted in PubMed Central,EMBASE,MEDLINE,Cochrane library,ScienceDirect and Google Scholar databases and search engines from inception until July 2021.We used the Newcastle Ottawa(NO)scale to assess the quality of published studies.A meta-analysis was carried out with random-effects model and reported pooled odds ratio(OR)with 95%confidence interval(CI).RESULTS In total,17 studies with over 3 million participants were included.Majority of the studies had good to satisfactory quality as per NO scale.Male gender(pooled OR=1.22;95%CI:1.16-1.27),cancer(pooled OR=1.94;95%CI:1.61-2.34),heart failure(pooled OR=1.28;95%CI:1.20-1.37),chronic respiratory disease(pooled OR=1.37;95%CI:1.19-1.58),chronic kidney disease(pooled OR=1.38;95%CI:1.23- 1.54) and diabetes mellitus (pooled OR = 1.18;95%CI: 1.08-1.28) had statistically significantassociation with the hospital readmission rate among pneumonia patients. Sensitivity analysisshowed that there was no significant variation in the magnitude or direction of outcome,indicating lack of influence of a single study on the overall pooled estimate.CONCLUSIONMale gender and specific chronic comorbid conditions were found to be significant risk factors forhospital readmission among pneumonia patients. These results may allow clinicians and policymakersto develop better intervention strategies for the patients.
基金supported by grants from the Medical Research Projects of the Chongqing Science and Technology Commission and Chongqing Health Committee(2020FYYX047).
文摘Objective:Abnormal circadian blood pressure rhythm has been revealed to be associated with hypertensive target organ damage and cardiovascular events,but its association with readmission risk in patients with heart failure with preserved ejection fraction(HFpEF)remains unknown.We conducted a retrospective study to explore the relationship between circadian blood pressure rhythm and readmission risk in HFpEF patients.Methods:We retrospectively collected baseline and follow-up data on HFpEF patients who underwent ambulatory blood pressure monitoring(ABPM)from May 2015 to October 2019.Patient circadian blood pressure rhythms defi ned by ABPM were grouped as dipper,nondipper,or riser patterns.Univariate and multivariate linear regression analyses were performed to assess the association between circadian blood pressure rhythm and readmission risk.Results:A total of 122 patients were enrolled in this study.The mean age and ejection fraction were 69.87 years and 61.44%,respectively,with mean the N-terminal pro-B-type natriuretic peptide(NT-proBNP)level being 1048.15 pg/mL.There were signifi cant differences in the 24-hour systolic blood pressure(SBP),sleep SBP,and sleep diastolic blood pressure(DBP)among the three groups,where the 24-hour SBP,sleep SBP,and sleep DBP in the riser pattern group were markedly higher than in the dipper pattern group.Notably,serum NT-proBNP levels,the proportion of patients readmitted for heart failure and the mean number of admissions differed markedly among three groups.Instructively,multivariate linear regression analysis showed that the riser pattern was a signifi cant and independent risk factor for increased serum NT-proBNP level(β=929.16,95%confi dence interval 178.79–1679.53,P=0.016).In multivariate logistic regression analysis,the riser pattern was demonstrated to be a signifi cant risk factor for readmission(odds ratio 11.23,95%confi dence interval 2.01–62.67,P=0.006)in HFpEF patients.Conclusion:The riser blood pressure pattern is a potential risk factor for elevated serum NT-proBNP level and readmission in HFpEF patients.
文摘The present letter to the editor is a commentary on the study titled“Rates of readmission and reoperation after operative management of midshaft clavicle fractures in adolescents”.There is a debate over whether surgical treatment of clavicle shaft fractures improves clinical outcomes in adolescents.The readmission and reoperation rates following surgery should be identified.
文摘AIM: To investigate inpatient length of stay(LOS), complication rates, and readmission rates for sacral fracture patients based on operative approach.METHODS: All patients who presented to a large tertiary care center with isolated sacral fractures in an 11-year period were included in a retrospective chart review. Operative approach(open reduction internal fixation vs percutaneous) was noted, as well as age, gender, race, and American Society of Anesthesiologists' score. Complications included infection, nonunion and malunion, deep venous thrombosis, and hardware problems; 90-d readmissions were broken down into infection, surgical revision of the sacral fracture, and medical complications. LOS was collected for the initial admission and readmission visits if applicable. Fisher's exact and non-parametric t-tests(Mann-Whitney U tests) were employed to compare LOS, complications, and readmissions between open and percutaneous approaches.RESULTS: Ninety-four patients with isolated sacral fractures were identified: 31(30.4%) who underwentopen reduction and internal fixation(ORIF) vs 63(67.0%) who underwent percutaneous fixation. There was a significant difference in LOS based on operative approach: 9.1 d for ORIF patients vs 6.1 d for percutaneous patients(P = 0.043), amounting to a difference in cost of $13590. Ten patients in the study developed complications, with no significant difference in complication rates or reasons for complications between the two groups(19.4% for ORIF patients vs 6.3% for percutaneous patients). Eight patients were readmitted, with no significant difference in readmission rates or reasons for readmission between the two groups(9.5% percutaneous vs 6.5% ORIF).CONCLUSION: There is a significant difference in LOS based on operative approach for sacral fracture patients. Given similar complications and readmission rates, we recommend a percutaneous approach.
文摘It is estimated that more than one million heart failure hospitalizations occur each year.Systolic heart failure and heart failure with preserved ejection fraction contribute equally to heart failure hospitalizations.Heart failure readmission rates continue to be about 25%.Strategies to reduce heart failure readmission are key to reducing hospitalization rates.The strategies to reduce heart failure hospitalization are as follows:(1)During hospitalization,diuresis to the euvolemic state is essential.Fifty percent of discharged heart failure patients have minimal weight loss during the hospitalization,representing minimal diuresis,but still fl uid overload.(2)During hospitalization,interrogate the defi brillator or biventricular pacemaker(if applicable)to ensure that there is no right ventricular pacing and there is appropriate biventricular pacing.Interrogation of devices can identify arrhythmia or suboptimal biventricular pacing,which can contribute to decompensation.(3)Before discharge,identify the reason for decompensation,such as atrial fibrillation,infection,pulmonary embolism,or noncompliance.(4)Before discharge a multidisciplinary team is needed to educate the patient on diet,medications,fl uid weight surveillance,and exercise.(5)A postdischarge visit should occur within 10 days and with emphasis on uptitration of neurohormonal blockers and continued congestion management.Such interventions conducted by a multidisciplinary team have the potential to reduce heart failure hospitalization rates.
