Risk Factors for Recurrent Clostridium difficile Infection: A Systematic Review and Meta-Analysis

2015 ◽  
Vol 36 (4) ◽  
pp. 452-460 ◽  
Author(s):  
Abhishek Deshpande ◽  
Vinay Pasupuleti ◽  
Priyaleela Thota ◽  
Chaitanya Pant ◽  
David D.K. Rolston ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Clostridium Difficile ◽  
Meta Analysis ◽  
Current Evidence ◽  
Multiple Risk Factors ◽  
Recurrent Clostridium Difficile Infection ◽  
Actual Mechanism ◽  
Independent Risk Factors

OBJECTIVEAn estimated 20–30% of patients with primary Clostridium difficile infection (CDI) develop recurrent CDI (rCDI) within 2 weeks of completion of therapy. While the actual mechanism of recurrence remains unknown, a variety of risk factors have been suggested and studied. The aim of this systematic review and meta-analysis was to evaluate current evidence on the risk factors for rCDI.DESIGNWe searched MEDLINE and 5 other databases for subject headings and text related to rCDI. All studies investigating risk factors of rCDI in a multivariate model were eligible. Information on study design, patient population, and assessed risk factors were collected. Data were combined using a random-effects model and pooled relative risk ratios (RRs) were calculated.RESULTSA total of 33 studies (n=18,530) met the inclusion criteria. The most frequent independent risk factors associated with rCDI were age≥65 years (risk ratio [RR], 1.63; 95% confidence interval [CI], 1.24–2.14; P=.0005), additional antibiotics during follow-up (RR, 1.76; 95% CI, 1.52–2.05; P<.00001), use of proton-pump inhibitors (PPIs) (RR, 1.58; 95% CI, 1.13–2.21; P=.008), and renal insufficiency (RR, 1.59; 95% CI, 1.14–2.23; P=.007). The risk was also greater in patients previously on fluoroquinolones (RR, 1.42; 95% CI, 1.28–1.57; P<.00001).CONCLUSIONSMultiple risk factors are associated with the development of rCDI. Identification of modifiable risk factors and judicious use of antibiotics and PPI can play an important role in the prevention of rCDI.Infect Control Hosp Epidemiol 2015;00(0): 1–9

scholarly journals Predictors of lost to follow up from antiretroviral therapy among adults in sub-Saharan Africa: a systematic review and meta-analysis

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hafte Kahsay Kebede ◽  
Lillian Mwanri ◽  
Paul Ward ◽  
Hailay Abrha Gesesew
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Meta Analysis ◽  
Sub Saharan Africa ◽  
Hiv Care ◽  
Care Services ◽  
Validity Assessment ◽  
Sub Saharan ◽  
Lost To Follow Up

Abstract Background It is known that ‘drop out’ from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood. Methods We performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I2 tests. Results Thirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1–1.3, I2 = 59%), (ii) between 15 and 35 years old (OR = 1.3, 95% CI 1.1–1.3, I2 = 0%), (iii) unmarried (OR = 1.2, 95% CI 1.2–1.3, I2 = 21%), (iv) a rural dweller (OR = 2.01, 95% CI 1.5–2.7, I2 = 40%), (v) unemployed (OR = 1.2, 95% CI 1.04–1.4, I2 = 58%); (vi) diagnosed with behavioral factors including illegal drug use(OR = 13.5, 95% CI 7.2–25.5, I2 = 60%), alcohol drinking (OR = 2.9, 95% CI 1.9–4.4, I2 = 39%), and tobacco smoking (OR = 2.6, 95% CI 1.6–4.3, I2 = 74%); and clinical diagnosis of mental illness (OR = 3.4, 95% CI 2.2–5.2, I2 = 1%), bed ridden or ambulatory functional status (OR = 2.2, 95% CI 1.5–3.1, I2 = 74%), low CD4 count in the last visit (OR = 1.4, 95% CI 1.1–1.9, I2 = 75%), tuberculosis co-infection (OR = 1.2, 95% CI 1.02–1.4, I2 = 66%) and a history of opportunistic infections (OR = 2.5, 95% CI 1.7–2.8, I2 = 75%). Conclusions The current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418

scholarly journals Effectiveness of e-cigarettes in smoking cessation: a systematic review and meta-analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Oberndorfer ◽  
I Grabovac ◽  
S Haider ◽  
T E Dorner
Keyword(s):  
Systematic Review ◽  
Smoking Cessation ◽  
Meta Analysis ◽  
Current Evidence ◽  
Promising Alternative ◽  
Quality Of Evidence ◽  
Different Populations ◽  
Meta Analyses

Abstract Background Reports of the effectiveness of e-cigarettes (ECs) for smoking cessation vary across different studies making implementation recommendations hard to attain. We performed a systematic review and meta-analysis to synthesise the current evidence regarding the effectiveness of ECs for smoking cessation. Methods PubMed, PsycInfo and Embase databases were searched for randomized controlled trials comparing nicotine ECs with non-nicotine ECs or with established smoking cessation interventions (nicotine replacement therapy (NRT) and or counselling) published between 01/01/2014 and 01/05/2019. Data from eligible studies were extracted and used for random-effects meta-analyses. Results Our literature review yielded 13190 publications with 10 studies being identified as eligible for systematic review, covering 8362 participants, and 8 for meta-analyses (n = 30 - 6006). Using the last follow-up of eligible studies, the proportion of smokers achieving abstinence was 1.67 [95CI:0.99 - 2.81] times higher in nicotine EC users compared to non-nicotine EC users. The proportion of abstinent smokers was 1.69 [95CI:1.25 - 2.27] times higher in EC users compared to participants receiving NRT. EC users showed a 2.70 [95CI:1.15 - 6.30] times higher proportion of abstinent smokers in comparison to participants solely receiving counselling. Conclusions Our analysis showed modest effects of nicotine-ECs compared to non-nicotine ECs. When compared to NRT or counselling, results suggest that nicotine EC may be more effective for smoking cessation. As ECs also help maintaining routinized behaviour and social aspects of smoking, we hypothesise that this may explain their advantage as a tool for smoking cessation. However, given the small number of included studies, different populations, heterogeneous designs, and the overall moderate to low quality of evidence, it is not possible to offer clear recommendations. More comparable data is needed to strengthen confidence in the quality of evidence. Key messages The number of previous studies assessing the effectiveness of ECs for smoking cessation is limited. Further, comparability of these studies is restricted, weakening the quality of evidence. Although current evidence on the effectiveness of ECs for smoking cessation is inconclusive, our meta-analyses suggest that ECs could be a promising alternative tool in attempts to achieve abstinence.

scholarly journals A systematic review and meta-analysis of independent risk factors for postherpetic neuralgia

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Haiou Zhou ◽  
Zhiguang Wang ◽  
Haifei Jin ◽  
Xing Chen ◽  
Long Lei
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Postherpetic Neuralgia ◽  
Meta Analysis ◽  
Independent Risk Factors

scholarly journals Mobile phone text-messaging interventions aimed to prevent cardiovascular diseases (Text2PreventCVD): systematic review and individual patient data meta-analysis

Open Heart ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. e001017 ◽  
Author(s):  
Sheikh Mohammed Shariful Islam ◽  
Andrew J Farmer ◽  
Kirsten Bobrow ◽  
Ralph Maddison ◽  
Robyn Whittaker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Blood Pressure ◽  
Mobile Phone ◽  
Text Messaging ◽  
Individual Patient Data ◽  
Meta Analysis ◽  
Multiple Risk Factors ◽  
Cvd Prevention ◽  
Multiple Risk

BackgroundA variety of small mobile phone text-messaging interventions have indicated improvement in risk factors for cardiovascular disease (CVD). Yet the extent of this improvement and whether it impacts multiple risk factors together is uncertain. We aimed to conduct a systematic review and individual patient data (IPD) meta-analysis to investigate the effects of text-messaging interventions for CVD prevention.MethodsElectronic databases were searched to identify trials investigating a text-messaging intervention focusing on CVD prevention with the potential to modify at least two CVD risk factors in adults. The main outcome was blood pressure (BP). We conducted standard and IPD meta-analysis on pooled data. We accounted for clustering of patients within studies and the primary analysis used random-effects models. Sensitivity and subgroup analyses were performed.ResultsNine trials were included in the systematic review involving 3779 participants and 5 (n=2612) contributed data to the IPD meta-analysis. Standard meta-analysis showed that the weighted mean differences are as follows: systolic blood pressure (SBP), −4.13 mm Hg (95% CI −11.07 to 2.81, p<0.0001); diastolic blood pressure (DBP), −1.11 mm Hg (−1.91 to −0.31, p=0.002); and body mass index (BMI), −0.32 (−0.49 to −0.16, p=0.000). In the IPD meta-analysis, the mean difference are as follows: SBP, −1.3 mm Hg (−5.4 to 2.7, p=0.5236); DBP, −0.8 mm Hg (−2.5 to 1.0, p=0.3912); and BMI, −0.2 (−0.8 to 0.4, p=0.5200) in the random-effects model. The impact on other risk factors is described, but there were insufficient data to conduct meta-analyses.ConclusionMobile phone text-messaging interventions have modest impacts on BP and BMI. Simultaneous but small impacts on multiple risk factors are likely to be clinically relevant and improve outcome, but there are currently insufficient data in pooled analyses to examine the extent to which simultaneous reduction in multiple risk factors occurs.PROSPERO registration numberCRD42016033236.

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