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Prescribing patterns of statins and associated factors among type 2 diabetes mellitus patients in Africa: A systematic review and meta-analysis.
Chekol Tassew, Worku; Ferede, Yeshiwas Ayale; Zeleke, Agerie Mengistie.
Afiliação
  • Chekol Tassew W; Teda Health Science College, Department of Medical Nursing, Gondar, Ethiopia.
  • Ferede YA; Teda Health Science College, Department of Reproductive Health, Gondar, Ethiopia.
  • Zeleke AM; Teda Health Science College, Clinical Midwifery Department, Gondar, Ethiopia.
Metabol Open ; 23: 100297, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39006881
ABSTRACT

Background:

In sub-Saharan African nations, there's a documented shortfall in the utilization of statins, despite established clinical guidelines advocating their use for reducing cardiovascular risks and overall mortality among Type 2 diabetes patients aged 40-75 years old. Most clinical guidelines recommend prescribing statins to individuals with type 2 diabetes to reduce the chances of cardiovascular disease. There is currently a lack of extensive research on statin utilization specifically for primary prevention of cardiovascular disease in Africa. Thus, this study aimed to assess the prescription patterns of statins for preventing cardiovascular disease in type 2 diabetes patients.

Methods:

The findings of the review were presented following the guidelines outlined in the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA-2020) checklist. We conducted searches on electronic databases including PubMed, EMBASE, Cochrane Library, Science Direct, African Journal Online, and Google Scholar. This systematic review and meta-analysis included articles that met specific inclusion criteria observational studies such as cross-sectional, cohort, and case-control studies focusing on determinants, risk factors, or correlates associated with statin prescription within Africa. Only published articles up to June 2, 2024, published in English, and conducted in either community or healthcare facility settings were considered. Data import was initially conducted using Microsoft Excel, and statistical analysis was performed using STATA software. Cochran's Q test was employed to assess whether there was a significant variance in prevalence among the studies. Additionally, the I2 statistic was utilized to quantify the extent of heterogeneity. A funnel plot, a visual tool, was utilized to evaluate publication bias.

Results:

The search strategy resulted in 7695 published original articles. The full texts of the 89 papers were assessed for eligibility and quality. Moreover, some articles were rejected due to inaccuracies in the outcome variable. Ultimately, only ten studies focusing on the prevalence of statin prescription were examined. The research suggests that the pooled prevalence of statin prescription among Type 2 diabetic individuals in Africa is found to be 48.82% (95% CI 35.41-63.24). Age greater than 65 years (AOR = 3.56, 95% CI 1.70-7.45; I2 = 54.7%), comorbidity (AOR = 1.13, 95% CI 0.27-4.63, I2 = 96.4%), dyslipidemia (AOR = 3.15, 95% CI 1.54-6.44, I2 = 61.7%), DM duration greater than ten years (AOR = 1.36, 95% CI 0.81-2.28, I2 = 77.3%), and government insurance (AOR = 8.85, 95% CI 2.72-28.76, I2 = 81.5%) were factors associated with statin prescription among type 2 diabetic patients.

Conclusions:

In general, the extent of statin prescriptions for individuals with type 2 diabetes who are eligible for statin therapy was below the target outlined by clinical practice guidelines. Being over 65 years old, having comorbidities, experiencing dyslipidemia, having type 2 diabetes for more than ten years, and having government insurance were all identified as independent factors predicting the prescription of statins. This finding is concerning and underscores the urgent need to enhance adherence to clinical practice guidelines for the well-being of this vulnerable population at high risk.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article