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Systematic review of the prevalence and development of osteoporosis or low bone mineral density and its risk factors in patients with inflammatory bowel disease 被引量:9
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作者 Sofia Kärnsund bobby lo +2 位作者 Flemming Bendtsen Jakob Holm Johan Burisch 《World Journal of Gastroenterology》 SCIE CAS 2020年第35期5362-5374,共13页
BACKGROUND The inflammatory bowel diseases(IBD),Crohn’s disease(CD)and ulcerative colitis(UC)are chronic,immune-mediated disorders of the digestive tract.IBD is considered to be a risk factor for developing osteoporo... BACKGROUND The inflammatory bowel diseases(IBD),Crohn’s disease(CD)and ulcerative colitis(UC)are chronic,immune-mediated disorders of the digestive tract.IBD is considered to be a risk factor for developing osteoporosis;however current literature on this matter is inconsistent.AIM To assess prevalence and development of osteoporosis and low bone mineral density(BMD),and its risk factors,in IBD patients.METHODS Systematic review of population-based studies.Studies were identified by electronic(January 2018)and manual searches(May 2018).Databases searched included EMBASE and PubMed and abstracts from 2014-2018 presented at the United European Gastroenterology Week,the European Crohn’s and Colitis Organisation congress,and Digestive Disease Week were screened.Studies were eligible for inclusion if they investigated either the prevalence of osteoporosis or osteopenia and/or risk factors for osteoporosis or low BMD in IBD patients.Studies on children under the age of 18 were excluded.Only population-based studies were included.All risk factors for osteoporosis and low BMD investigated in any included article were considered.Study quality and the possibility of bias were analysed using the Newcastle-Ottawa scale.RESULTS Twelve studies including 3661 IBD patients and 12789 healthy controls were included.Prevalence of osteoporosis varied between 4%-9%in studies including both CD and UC patients;2%-9% in studies including UC patients, and 7%-15% instudies including CD patients. Among healthy controls, prevalence ofosteoporosis was 3% and 10% in two studies. CD diagnosis, lower body massindex (BMI), and lower body weight were risk factors associated withosteoporosis or low BMD. Findings regarding gender showed inconsistent results.CD patients had an increased risk for osteoporosis or low BMD over time, whileUC patients did not. Increased age was associated with decreased BMD, and therewas a positive association between weight and BMI and BMD over time. Greatheterogeneity was found in the included studies in terms of study methodologies,definitions and the assessment of osteoporosis, and only a small number ofpopulation-based studies was available.CONCLUSIONThis systematic review found a possible increase of prevalence of osteoporosis inCD cohorts when compared to UC and cohorts including both disease types.Lower weight and lower BMI were predictors of osteoporosis or low BMD in IBDpatients. The results varied considerably between studies. 展开更多
关键词 Inflammatory bowel disease OSTEOPOROSIS Systematic review EPIDEMIOLOGY Bone mineral density
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Fecal microbiota transplantation for the treatment of irritable bowel syndrome:A systematic review and meta-analysis 被引量:2
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作者 Sofie Ingdam Halkjaer bobby lo +9 位作者 Frederik Cold Alice Hojer Christensen Savanne Holster Julia Konig Robert Jan Brummer Olga C Aroniadis Perttu Lahtinen Tom Holvoet Lise lotte Gluud Andreas Munk Petersen 《World Journal of Gastroenterology》 SCIE CAS 2023年第20期3185-3202,共18页
BACKGROUND Irritable bowel syndrome(IBS)is the most prevalent gastrointestinal disorder in developed countries and reduces patients’quality of life,hinders their ability to work,and increases health care costs.A grow... BACKGROUND Irritable bowel syndrome(IBS)is the most prevalent gastrointestinal disorder in developed countries and reduces patients’quality of life,hinders their ability to work,and increases health care costs.A growing number of trials have demonstrated an aberrant gut microbiota composition in IBS,also known as‘gut dysbiosis’.Fecal microbiota transplantation(FMT)has been suggested as a treatment for IBS.AIM To assess the efficacy and safety of FMT for the treatment of IBS.METHODS We searched Cochrane Central,MEDLINE,EMBASE and Web of Science up to 24 October 2022 for randomised controlled trials(RCTs)investigating the effectiveness of FMT compared to placebo(including autologous FMT)in treating IBS.The primary outcome was the number of patients with improvements of symptoms measured using a validated,global IBS symptoms score.Secondary outcomes were changes in quality-of-life scores,non-serious and serious adverse events.Risk ratios(RR)and corresponding 95%CI were calculated for dichotomous outcomes,as were the mean differences(MD)and 95%CI for continuous outcomes.The Cochrane risk of bias tool was used to assess the quality of the trials.GRADE criteria were used to assess the overall quality of the evidence.RESULTS Eight RCTs(484 participants)were included in the review.FMT resulted in no significant benefit in IBS symptoms three months after treatment compared to placebo(RR 1.19,95%CI:0.68-2.10).Adverse events were reported in 97 participants in the FMT group and in 45 participants in the placebo group(RR 1.17,95%CI:0.63-2.15).One serious adverse event occurred in the FMT group and two in the placebo group(RR 0.42,95%CI:0.07-2.60).Endoscopic FMT delivery resulted in a significant improvement in symptoms,while capsules did not.FMT did not improve the quality of life of IBS patients but,instead,appeared to reduce it,albeit non significantly(MD-6.30,95%CI:-13.39-0.79).The overall quality of the evidence was low due to moderate-high inconsistency,the small number of patients in the studies,and imprecision.CONCLUSION We found insufficient evidence to support or refute the use of FMT for IBS.Larger trials are needed. 展开更多
关键词 Fecal microbiota transplantation Irritable bowel syndrome META-ANALYSIS Systematic review
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Artificial intelligence assisted assessment of endoscopic disease activity in inflammatory bowel disease
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作者 bobby lo Johan Burisch 《Artificial Intelligence in Gastrointestinal Endoscopy》 2021年第4期95-102,共8页
Assessment of endoscopic disease activity can be difficult in patients with inflammatory bowel disease(IBD)[comprises Crohn's disease(CD)and ulcerative colitis(UC)].Endoscopic assessment is currently the foundatio... Assessment of endoscopic disease activity can be difficult in patients with inflammatory bowel disease(IBD)[comprises Crohn's disease(CD)and ulcerative colitis(UC)].Endoscopic assessment is currently the foundation of disease evaluation and the grading is pivotal for the initiation of certain treatments.Yet,disharmony is found among experts;even when reassessed by the same expert.Some studies have demonstrated that the evaluation is no better than flipping a coin.In UC,the greatest achieved consensus between physicians when assessing endoscopic disease activity only reached a Kappa value of 0.77(or 77%agreement adjustment for chance/accident).This is unsatisfactory when dealing with patients at risk of surgery or disease progression without proper care.Lately,across all medical specialities,computer assistance has become increasingly interesting.Especially after the emanation of machine learning–colloquially referred to as artificial intelligence(AI).Compared to other data analysis methods,the strengths of AI lie in its capability to derive complex models from a relatively small dataset and its ability to learn and optimise its predictions from new inputs.It is therefore evident that with such a model,one hopes to be able to remove inconsistency among humans and standardise the results across educational levels,nationalities and resources.This has manifested in a handful of studies where AI is mainly applied to capsule endoscopy in CD and colonoscopy in UC.However,due to its recent place in IBD,there is a great inconsistency between the results,as well as the reporting of the same.In this opinion review,we will explore and evaluate the method and results of the published studies utilising AI within IBD(with examples),and discuss the future possibilities AI can offer within IBD. 展开更多
关键词 Inflammatory bowel disease Artificial intelligence Deep learning ENDOSCOPY Disease severity Machine learning
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