Urinary Incontinence Is Associated With Increased All‐Cause Mortality in Older Nursing Home Residents: A Meta‐Analysis

Author(s):  
Pan Huang ◽  
Kai Luo ◽  
Chunyan Wang ◽  
Dawei Guo ◽  
Shixuan Wang ◽  
...  
2019 ◽  
Vol 20 (6) ◽  
pp. 657-663.e4 ◽  
Author(s):  
XiaoMing Zhang ◽  
QingLi Dou ◽  
WenWu Zhang ◽  
CongHua Wang ◽  
XiaoHua Xie ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e021252 ◽  
Author(s):  
Xiaoming Zhang ◽  
Conghua Wang ◽  
Qingli Dou ◽  
Wenwu Zhang ◽  
Yunzhi Yang ◽  
...  

ObjectivesThis study aims to review the evidence of sarcopenia as a predictor of all-cause mortality among nursing home residents.DesignSystematic review and meta-analysis of observational cohort studies.Data sourcesPubMed, EMBASE and the Cochrane Library databases were searched for relevant articles.ParticipantsNursing home residents.Primary and secondary outcome measuresAll-cause mortality.Data analysisSummary-adjusted HRs or risk ratios (RRs) were calculated by fixed-effects model. The risk of bias was assessed by Newcastle-Ottawa Scale.ResultsOf 2292 studies identified through the systematic review, six studies (1494 participants) were included in the meta-analysis. Sarcopenia was significantly associated with a higher risk for all-cause mortality among nursing home residents (pooled HR 1.86, 95% CI 1.42 to 2.45, p<0.001, I2=0). In addition, the subgroup analysis demonstrated that sarcopenia was associated with all-cause mortality (pooled HR 1.87,95% CI 1.38 to 2.52, p<0.001) when studies with a follow-up period of 1 year or more were analysed; however, this was not found for studies with the follow-up period less than 1 year. Furthermore, sarcopenia was significantly associated with the risk of mortality among older nursing home residents when using bioelectrical impedance analysis to diagnosis muscle mass (pooled HR 1.88, 95% CI 1.39 to 2.53, p<0.001); whereas, it was not found when anthropometric measures were used to diagnosis muscle mass.ConclusionSarcopenia is a significant predictor of all-cause mortality among older nursing home residents. Therefore, it is important to diagnose and treat sarcopenia to reduce mortality rates among nursing home residents.PROSPERO registration numberCRD42018081668


2021 ◽  
pp. 073346482110182
Author(s):  
Sainfer Aliyu ◽  
Jasmine L. Travers ◽  
S. Layla Heimlich ◽  
Joanne Ifill ◽  
Arlene Smaldone

Effects of antibiotic stewardship program (ASP) interventions to optimize antibiotic use for infections in nursing home (NH) residents remain unclear. The aim of this systematic review and meta-analysis was to assess ASPs in NHs and their effects on antibiotic use, multi-drug-resistant organisms, antibiotic prescribing practices, and resident mortality. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a systematic review and meta-analysis using five databases (1988–2020). Nineteen articles were included, 10 met the criteria for quantitative synthesis. Inappropriate antibiotic use decreased following ASP intervention in eight studies with a pooled decrease of 13.8% (95% confidence interval [CI]: [4.7, 23.0]; Cochran’s Q = 166,837.8, p < .001, I2 = 99.9%) across studies. Decrease in inappropriate antibiotic use was highest in studies that examined antibiotic use for urinary tract infection (UTI). Education and antibiotic stewardship algorithms for UTI were the most effective interventions. Evidence surrounding ASPs in NH is weak, with recommendations suited for UTIs.


2008 ◽  
Vol 83 (12) ◽  
pp. 1332-1343 ◽  
Author(s):  
Howard A. Fink ◽  
Brent C. Taylor ◽  
Jim W. Tacklind ◽  
Indulis R. Rutks ◽  
Timothy J. Wilt

1992 ◽  
Vol 40 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Joyce Colling ◽  
Joseph Ouslander ◽  
Betty Jo Hadley ◽  
Joan Eisch ◽  
Emily Campbell

2018 ◽  
Vol 74 (11) ◽  
pp. 2511-2522 ◽  
Author(s):  
Pei-ye Cao ◽  
Qing-hua Zhao ◽  
Ming-zhao Xiao ◽  
Ling-na Kong ◽  
Ling Xiao

1995 ◽  
Vol 43 (6) ◽  
pp. 610-617 ◽  
Author(s):  
Joseph G. Ouslander ◽  
John F. Schnelle ◽  
Gwen Uman ◽  
Susan Fingold ◽  
Jennifer Glatler Nigam ◽  
...  

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