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The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies

OBJECTIVE: To quantify the association between diabetes and the risk of incident infections by conducting a systematic review and meta-analysis. RESEARCH DESIGN AND METHODS: Two reviewers independently screened articles identified from PubMed, EMBASE, Cochrane Library, IPA, and Web of Science databa...

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Autores principales: Abu-Ashour, Waseem, Twells, Laurie, Valcour, James, Randell, Amy, Donnan, Jennifer, Howse, Patricia, Gamble, John-Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Open Diabetes Research & Care 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530269/
https://www.ncbi.nlm.nih.gov/pubmed/28761647
http://dx.doi.org/10.1136/bmjdrc-2016-000336
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author Abu-Ashour, Waseem
Twells, Laurie
Valcour, James
Randell, Amy
Donnan, Jennifer
Howse, Patricia
Gamble, John-Michael
author_facet Abu-Ashour, Waseem
Twells, Laurie
Valcour, James
Randell, Amy
Donnan, Jennifer
Howse, Patricia
Gamble, John-Michael
author_sort Abu-Ashour, Waseem
collection PubMed
description OBJECTIVE: To quantify the association between diabetes and the risk of incident infections by conducting a systematic review and meta-analysis. RESEARCH DESIGN AND METHODS: Two reviewers independently screened articles identified from PubMed, EMBASE, Cochrane Library, IPA, and Web of Science databases. Cohort studies (CS) or case–control studies (CCS) evaluating the incidence of infections in adults with diabetes were included. Infections were classified as: skin and soft tissue, respiratory, blood, genitourinary, head and neck, gastrointestinal, bone, viral, and non-specified infections. Study quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Summary crude and adjusted OR with 95% CIs were calculated using random effects models, stratified by study design. Heterogeneity was measured using the I(2)statistic and explored using subgroup analyses. RESULTS: A total of 345 (243 CS and 102 CCS) studies were included. Combining adjusted results from all CS, diabetes was associated with an increased incidence of skin (OR 1.94, 95% CI 1.78 to 2.12), respiratory (OR 1.35, 95% CI 1.28 to 1.43), blood (OR 1.72, 95% CI 1.48 to 2.00), genitourinary (OR 1.61, 95% CI 1.42 to 1.82), head and neck (OR 1.17, 95% CI 1.13 to 1.22), gastrointestinal (OR 1.48, 95% CI 1.40 to 1.57), viral (OR 1.29, 95% CI 1.13 to 1.46), and non-specified (OR 1.84, 95% CI 1.66 to 2.04) infections. A stronger association was observed among CCS: skin (OR 2.64, 95% CI 2.20 to 3.17), respiratory (OR 1.62, 95% CI 1.37 to 1.92), blood (OR 2.40, 95% CI 1.68 to 3.42), genitourinary (OR 2.59, 95% CI 1.60 to 4.17), gastrointestinal (OR 3.61, 95% CI 2.94 to 4.43), and non-specified (OR 3.53, 95% CI 2.62 to 4.75). CONCLUSION: Diabetes is associated with an increased risk of multiple types of infections. A high degree of heterogeneity was observed; however, subgroup analysis decreased the amount of heterogeneity within most groups. Results were generally consistent across types of infections.
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spelling pubmed-55302692017-07-31 The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies Abu-Ashour, Waseem Twells, Laurie Valcour, James Randell, Amy Donnan, Jennifer Howse, Patricia Gamble, John-Michael BMJ Open Diabetes Res Care Epidemiology/Health Services Research OBJECTIVE: To quantify the association between diabetes and the risk of incident infections by conducting a systematic review and meta-analysis. RESEARCH DESIGN AND METHODS: Two reviewers independently screened articles identified from PubMed, EMBASE, Cochrane Library, IPA, and Web of Science databases. Cohort studies (CS) or case–control studies (CCS) evaluating the incidence of infections in adults with diabetes were included. Infections were classified as: skin and soft tissue, respiratory, blood, genitourinary, head and neck, gastrointestinal, bone, viral, and non-specified infections. Study quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Summary crude and adjusted OR with 95% CIs were calculated using random effects models, stratified by study design. Heterogeneity was measured using the I(2)statistic and explored using subgroup analyses. RESULTS: A total of 345 (243 CS and 102 CCS) studies were included. Combining adjusted results from all CS, diabetes was associated with an increased incidence of skin (OR 1.94, 95% CI 1.78 to 2.12), respiratory (OR 1.35, 95% CI 1.28 to 1.43), blood (OR 1.72, 95% CI 1.48 to 2.00), genitourinary (OR 1.61, 95% CI 1.42 to 1.82), head and neck (OR 1.17, 95% CI 1.13 to 1.22), gastrointestinal (OR 1.48, 95% CI 1.40 to 1.57), viral (OR 1.29, 95% CI 1.13 to 1.46), and non-specified (OR 1.84, 95% CI 1.66 to 2.04) infections. A stronger association was observed among CCS: skin (OR 2.64, 95% CI 2.20 to 3.17), respiratory (OR 1.62, 95% CI 1.37 to 1.92), blood (OR 2.40, 95% CI 1.68 to 3.42), genitourinary (OR 2.59, 95% CI 1.60 to 4.17), gastrointestinal (OR 3.61, 95% CI 2.94 to 4.43), and non-specified (OR 3.53, 95% CI 2.62 to 4.75). CONCLUSION: Diabetes is associated with an increased risk of multiple types of infections. A high degree of heterogeneity was observed; however, subgroup analysis decreased the amount of heterogeneity within most groups. Results were generally consistent across types of infections. BMJ Open Diabetes Research & Care 2017-05-27 /pmc/articles/PMC5530269/ /pubmed/28761647 http://dx.doi.org/10.1136/bmjdrc-2016-000336 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Epidemiology/Health Services Research
Abu-Ashour, Waseem
Twells, Laurie
Valcour, James
Randell, Amy
Donnan, Jennifer
Howse, Patricia
Gamble, John-Michael
The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
title The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
title_full The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
title_fullStr The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
title_full_unstemmed The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
title_short The association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
title_sort association between diabetes mellitus and incident infections: a systematic review and meta-analysis of observational studies
topic Epidemiology/Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530269/
https://www.ncbi.nlm.nih.gov/pubmed/28761647
http://dx.doi.org/10.1136/bmjdrc-2016-000336
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