Literature DB >> 29476432

Cigarette smoking and risk of albuminuria in patients with type 2 diabetes: a systematic review and meta-analysis of observational studies.

Haili Xu1, Jinliu Suo2, Jing Lian3.   

Abstract

BACKGROUND: The aim of this study was to assess the effects of smoking on albuminuria risk in adults with type 2 diabetes mellitus (T2DM).
METHODS: A literature search was conducted using MEDLINE, EMBASE, and China National Knowledge Infrastructure from the established date to October 2017. Summary relative risks (SRR) and 95% confidence intervals (CI) were computed utilizing a random effect inverse variance method.
RESULTS: This meta-analysis included a total of 19 relevant observational studies (four prospective cohort, seven case-control, and eight cross-sectional studies), reporting 105,031 participants and 23,366 albuminuria events. Compared with never-smokers with T2DM, the SRRs of albuminuria were 1.43 (95% CIs 1.27-1.61) for ever-smokers, 2.61 (95% CIs 1.86-3.64) for current smokers, and 1.86 (95% CIs 1.37-2.52) for former smokers. Considerable heterogeneity was observed among these studies, and study design was a significant modifier for this association. There were significantly elevated risk associations for microalbuminuria (SRRs = 1.24, 95% CIs 1.05-1.46) and for macroalbuminuria (SRRs = 1.65, 95% CIs 1.03-2.66), respectively.
CONCLUSIONS: Our systematic review and meta-analysis indicates that cigarette smoking might be a potential factor for the development of albuminuria in adults with T2DM. Future studies are required to investigate the association between smoking cessation and intensity and incident albuminuria in adults with T2DM.

Entities:  

Keywords:  Albuminuria; Cigarette smoking; Meta-analysis; Type 2 diabetes mellitus

Mesh:

Year:  2018        PMID: 29476432     DOI: 10.1007/s11255-018-1825-x

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  54 in total

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2.  Predictors and determinants of albuminuria in people with prediabetes and diabetes based on smoking status: A cross-sectional study using the UK Biobank data.

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