ABSTRACT
Background: Pregnant women who have gestational diabetes mellitus (GDM) are more prone to adverse pregnancy outcomes. We estimated the prevalence of GDM in Iran. Methods: Web of Science, Scopus, PubMed, Google Scholar, and Persian databases (SID, Magiran, Irandoc, and) were searched using the MeSH and non-MeSH terms in abstract, title, or keywords of articles until June 2021, with no limitation in time. Random effects models were applied to summarize the GDM prevalence in Iran. The obtained data were quantitatively analyzed to determine an effect size for each paper. The pooled effect size was introduced as prevalence and 95% confidence interval. Sensitivity analyses and subgroup analyses were done to determine heterogeneity. Publication bias was assessed by the classic fail-safe N and Egger test. Results: A total of 53 papers were considered for meta-analysis, involving 56,521 Iranians. The total GDM prevalence in Iran was 7.6% (95% CI, 6.1%-9.4%). Conclusion: This meta-analysis was the newest to estimate the GDM prevalence among Iranian women. Our results suggest a high prevalence of GDM in Iran, showing that Iran might have many GDM patients.
ABSTRACT
BACKGROUND: Permanent artificial pacemaker is one of the important therapies for treatment of cardiac conduction system problems. The present study aimed to determine the association between some predictive variables and all-cause and cause-specific mortality in the patients who had undergone pacemaker implantation. METHODS: This study was conducted on 1207 patients who had undergone permanent pacemaker implantation in the hospitals affiliated with Shiraz University of Medical Sciences, Iran, from Mar 2002 to Mar 2012. The variables that existed in the patients' medical records included sex, diabetes mellitus, obesity, cerebrovascular accident, cardiomegaly, smoking, hypertension, ischemic heart disease, congenital heart disease, sick sinus syndrome, and atrial fibrillation. Competing risks model was used to assess the association between the predictive variables and cause-specific (i.e., cardiac and vascular) mortality. RESULTS: The patients' mean age was 66.32±17.92 yr (70.62±14.45 yr in the patients with single-chamber pacemakers vs. 61.91±17.69 yr in those with two-chamber pacemakers) (P<0.001). Sick sinus syndrome and age increased the risk of all-cause mortality, while two-chamber pacemaker decreased this risk. Obesity increased the risk of cardiac death, and diabetes mellitus and heart valve disease increased the risk of vascular death. CONCLUSION: The variables predicting mortality in all-cause model were completely different from those in cause-specific model. Moreover, death in such patients may occur due to reasons other than pacemaker. Therefore, future studies, particularly prospective ones, are recommended to use competing risks models.