Dataset Information

Association of smoking and cardiometabolic parameters with albuminuria in people with type 2 diabetes mellitus: a systematic review and meta-analysis.

ABSTRACT:

Aims

Smoking is a strong risk factor for albuminuria in people with type 2 diabetes mellitus (T2DM). However, it is unclear whether this sequela of smoking is brought about by its action on cardiometabolic parameters or the relationship is independent. The aim of this systematic review is to explore this relationship.

Methods

Electronic databases on cross-sectional and prospective studies in Medline and Embase were searched from January 1946 to May 2018. Adult smokers with T2DM were included, and other types of diabetes were excluded.

Results

A random effects meta-analysis of 20,056 participants from 13 studies found that the odds ratio (OR) of smokers developing albuminuria compared to non-smokers was 2.13 (95% CI 1.32, 3.45). Apart from smoking, the odds ratio of other risk factors associated with albuminuria were: age 1.24 (95% CI 0.84, 1.64), male sex 1.39 (95% CI 1.16, 1.67), duration of diabetes 1.78 (95% CI 1.32, 2.23), HbA1c 0.63 (95% CI 0.45, 0.81), SBP 6.03 (95% CI 4.10, 7.97), DBP 1.85 (95% CI 1.08, 2.62), total cholesterol 0.06 (95% CI -?0.05, 0.17) and HDL cholesterol -?0.01 (95% CI -?0.04, 0.02), triglyceride 0.22 (95% CI 0.12, 0.33) and BMI 0.40 (95% CI 0.00-0.80). When the smoking status was adjusted in a mixed effect meta-regression model, the duration of diabetes was the only statistically significant factor that influenced the prevalence of albuminuria. In smokers, each year's increase in the duration of T2DM was associated with an increased risk of albuminuria of 0.19 units (95% CI 0.07, 0.31) on the log odds scale or increased the odds approximately by 23%, compared to non-smokers. Prediction from the meta-regression model also suggested that the odds ratios of albuminuria in smokers after a diabetes duration of 9 years and 16 years were 1.53 (95% CI 1.10, 2.13) and 5.94 (95% CI 2.53, 13.95), respectively.

Conclusions

Continuing to smoke and the duration of diabetes are two strong predictors of albuminuria in smokers with T2DM. With a global surge in younger smokers developing T2DM, smoking cessation interventions at an early stage of disease trajectory should be promoted.

SUBMITTER: Kar D

PROVIDER: S-EPMC6597612 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Publications

Association of smoking and cardiometabolic parameters with albuminuria in people with type 2 diabetes mellitus: a systematic review and meta-analysis.

Kar Debasish D Gillies Clare C Nath Mintu M Khunti Kamlesh K Davies Melanie J MJ Seidu Samuel S

Acta diabetologica 20190224 8

<h4>Aims</h4>Smoking is a strong risk factor for albuminuria in people with type 2 diabetes mellitus (T2DM). However, it is unclear whether this sequela of smoking is brought about by its action on cardiometabolic parameters or the relationship is independent. The aim of this systematic review is to explore this relationship.<h4>Methods</h4>Electronic databases on cross-sectional and prospective studies in Medline and Embase were searched from January 1946 to May 2018. Adult smokers with T2DM we ...[more]

PMID: 30799525

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Project description:Diabetes distress (DD) disproportionately affects vulnerable people with type 2 diabetes mellitus and interventions targeting this population are therefore relevant. A systematic review and meta-analysis was performed to assess the evidence for an effect of psychosocial interventions for reducing DD, and, secondly HbA1c, depression, and health-related quality of life in vulnerable people with type 2 diabetes mellitus. Vulnerability encompasses poor glycemic control (HbA1c >7.5%) and at least one additional risk factor for poor diabetes outcomes such as low educational level, comorbidity, and risky lifestyle behavior. The interventions should be theoretically founded and include cognition- or emotion-focused elements. We systematically searched four databases for articles published between January 1995 and March 2018. Eighteen studies testing a variety of psychosocial interventions in 4,066 patients were included. We adhered to the Cochrane methodology and PRISMA guidelines. Review Manager 5.3 was used for data extraction and risk of bias assessment, and Grades of Recommendation, Assessment, Development and Evaluation for assessing the quality of the evidence. Data were pooled using the fixed or random effects method as appropriate. We investigated effects of individual vs group, intensive vs brief interventions, and interventions with and without motivational interviewing in subgroup analyses. To assess the robustness of effect estimates, sensitivity analyses excluding studies with high risk of bias and attrition >20% were conducted. We found low to moderate quality evidence for a significant small effect of psychosocial interventions on DD, and very low to moderate quality evidence for no effect on HbA1c, both outcomes assessed at 3, 6, 12, and 24 months follow-up. The effect on depression was small, while there was no effect on health-related quality of life. Exploratory subgroup analyses suggested that interventions using motivational interviewing and individual interventions were associated with incremental effects on DD. Likewise, intensive interventions were associated with significant reductions in both DD and HbA1c.

Dataset Information

Association of smoking and cardiometabolic parameters with albuminuria in people with type 2 diabetes mellitus: a systematic review and meta-analysis.

Aims

Methods

Results

Conclusions

Publications

Association of smoking and cardiometabolic parameters with albuminuria in people with type 2 diabetes mellitus: a systematic review and meta-analysis.

Similar Datasets

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