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Analysis of clinical characteristics and risk factors between elderly patients with severe and nonsevere Omicron variant infection
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作者 Xiao-Qin Liu Guan-Zhu Lu +4 位作者 Dong-Lin Yin yao-yue kang Yuan-Yuan Zhou Yu-Huan Wang Jie Xu 《World Journal of Clinical Infectious Diseases》 2023年第4期37-48,共12页
BACKGROUND Coronavirus disease 2019(COVID-19),caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has led to millions of confirmed cases and deaths worldwide.Elderly patients are at high risk of deve... BACKGROUND Coronavirus disease 2019(COVID-19),caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has led to millions of confirmed cases and deaths worldwide.Elderly patients are at high risk of developing and dying from COVID-19 due to advanced age,decreased immune function,intense inflammatory response,and comorbidities.Shanghai has experienced a wave of infection with Omicron,a new variant of SARS-CoV-2,since March 2022.There is a pressing need to identify clinical features and risk factors for disease progression among elderly patients with Omicron infection to provide solid evidence for clinical policy-makers,public health officials,researchers,and the general public.AIM To investigate clinical characteristic differences and risk factors between elderly patients with severe and nonsevere Omicron SARS-CoV-2 variant infection.METHODS A total of 328 elderly patients with COVID-19 admitted to the Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from April 2022 to June 2022 were enrolled and divided into a severe group(82 patients)and a nonsevere group(246 patients)according to the diagnosis and treatment protocol of COVID-19(version 7).The clinical data and laboratory results of both groups were collected and compared.A chi-square test,t test,Mann-Whitney U test,hierarchical log-rank test,univariate and multivariate logistic regression,and hierarchical analyses were used to determine significant differences.RESULTS The severe group was older(84 vs 74 years,P<0.001),included more males(57.3%vs 43.9%,P=0.037),had a lower vaccination rate(P<0.001),and had a higher proportion of comorbidities,including chronic respiratory disease(P=0.001),cerebral infarction(P<0.001),chronic kidney disease(P=0.002),and neurodegenerative disease(P<0.001),than the nonsevere group.In addition,severe disease patients had a higher inflammatory index(P<0.001),greater need for symptomatic treatment(P<0.001),longer hospital stay(P=0.011),extended viral shedding time(P=0.014),and higher mortality than nonsevere disease patients(P<0.001).No difference was observed in the application of Paxlovid in the severe and nonsevere groups(P=0.817).Oxygen saturation,cerebral infarction,and D-dimer were predictive factors for developing severe disease in patients with COVID-19,with D-dimer having an excellent role(area under the curve:90.1%,95%CI:86.1-94.0%).In addition,D-dimer was a risk factor for developing severe COVID-19 according to multivariate stratified analysis.CONCLUSION The clinical course of severe COVID-19 is complex,with a higher need for symptomatic treatment.D-dimer is a suitable biomarker for identifying patients at risk for developing severe COVID-19. 展开更多
关键词 Coronavirus disease 2019 Omicron Severe infection Elderly patients Clinical features Risk factor
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