Literature DB >> 34222069

Cardiovascular diseases risk prediction in patients with diabetes: Posthoc analysis from a matched case-control study in Bangladesh.

Sheikh Mohammed Shariful Islam1,2,3, Shyfuddin Ahmed4,5, Riaz Uddin1, Muhammad U Siddiqui6,7, Mahsa Malekahmadi8,9, Abdullah Al Mamun10, Roohallah Alizadehsani11, Abbas Khosravi11, Saeid Nahavandi11.   

Abstract

PURPOSE: This study aimed to investigate the estimated 10-year predicted risk of developing cardiovascular diseases (CVD) among participants with and without diabetes in Bangladesh.
METHODS: We performed posthoc analysis from a matched case-control study conducted among 1262 participants. A total of 631 participants with diabetes (case) were recruited from a tertiary hospital, and 631 age, sex and residence matched participants (control) were recruited from the community in Dhaka, Bangladesh. Socioeconomic anthropometric, clinical and CVD risk factor data were collected from the participants. The 10-year estimated CVD risk was calculated using the Framingham Risk Score, which has reasonable validity in South Asians.
RESULTS: The mean (SD) age of the participants were 51 (10) years. Total 52.3% of cases and 17.2% of controls were at high risk for CVD. The 10-year risk of CVD increased by age and was higher among males in both groups. Among the control group, high CVD risk was more prevalent among higher education and income groups. More than 85% of the tobacco smokers and 70% of chewing tobacco users in the case group were at high risk of CVD. Prevalence of high CVD risk among non-smokers cases was 8.6%. About 35% of hypertensive participants in the control group were at high risk of CVD.
CONCLUSION: Bangladeshi patients with diabetes showed a significant burden of CVD risk at a relatively younger age. Strategies for reducing tobacco use and improving BP control in people with diabetes is needed for lowering future CVD risks. © Springer Nature Switzerland AG 2021.

Entities:  

Keywords:  Bangladesh; Cardiovascular diseases; Diabetes; Hypertension; Risk prediction models

Year:  2021        PMID: 34222069      PMCID: PMC8212228          DOI: 10.1007/s40200-021-00761-y

Source DB:  PubMed          Journal:  J Diabetes Metab Disord        ISSN: 2251-6581


  48 in total

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4.  Prevalence of depression and its associated factors in patients with type 2 diabetes: A cross-sectional study in Dhaka, Bangladesh.

Authors:  Sheikh Mohammed Shariful Islam; Lal B Rawal; Louis W Niessen
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6.  Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study.

Authors:  Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Tony Dans; Alvaro Avezum; Fernando Lanas; Matthew McQueen; Andrzej Budaj; Prem Pais; John Varigos; Liu Lisheng
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7.  Diabetes knowledge and glycemic control among patients with type 2 diabetes in Bangladesh.

Authors:  Sheikh Mohammed Shariful Islam; Louis W Niessen; Jochen Seissler; Uta Ferrari; Tuhin Biswas; Anwar Islam; Andreas Lechner
Journal:  Springerplus       Date:  2015-06-20

8.  Cardiovascular disease mortality in relation to childhood and adulthood socioeconomic markers in British South Asian men.

Authors:  T Tillin; N Chaturvedi; N G Forouhi; G D Smith; P M McKeigue
Journal:  Heart       Date:  2007-07-23       Impact factor: 5.994

9.  Prevalence of risk factors for hypertension: A cross-sectional study in an urban area of Bangladesh.

Authors:  Shiekh Mohammed Shariful Islam; Akm Mainuddin; Md Serajul Islam; Mohammad Azizul Karim; Sabrina Zaman Mou; Shamsul Arefin; Kamrun Nahar Chowdhury
Journal:  Glob Cardiol Sci Pract       Date:  2015-11-20

10.  A simple prediction model to estimate obstructive coronary artery disease.

Authors:  Shiqun Chen; Yong Liu; Sheikh Mohammed Shariful Islam; Hua Yao; Yingling Zhou; Ji-Yan Chen; Qiang Li
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  5 in total

1.  Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study.

Authors:  Ahmad Shaker Abdalrada; Jemal Abawajy; Tahsien Al-Quraishi; Sheikh Mohammed Shariful Islam
Journal:  J Diabetes Metab Disord       Date:  2022-01-12

Review 2.  Smartphone Apps for Diabetes Medication Adherence: Systematic Review.

Authors:  Sheikh Mohammed Shariful Islam; Vinaytosh Mishra; Muhammad Umer Siddiqui; Jeban Chandir Moses; Sasan Adibi; Lemai Nguyen; Nilmini Wickramasinghe
Journal:  JMIR Diabetes       Date:  2022-06-21

3.  Factors Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes in Bangladesh.

Authors:  Sheikh Mohammed Shariful Islam; Masudus Salehin; Sojib Bin Zaman; Tania Tansi; Rajat Das Gupta; Lingkan Barua; Palash Chandra Banik; Riaz Uddin
Journal:  Int J Environ Res Public Health       Date:  2021-11-23       Impact factor: 3.390

4.  Prediction of cardiac autonomic neuropathy using a machine learning model in patients with diabetes.

Authors:  Ahmad Shaker Abdalrada; Jemal Abawajy; Tahsien Al-Quraishi; Sheikh Mohammed Shariful Islam
Journal:  Ther Adv Endocrinol Metab       Date:  2022-03-22       Impact factor: 3.565

5.  Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries.

Authors:  Sheikh Mohammed Shariful Islam; Ashis Talukder; Md Abdul Awal; Md Muhammad Umer Siddiqui; Md Martuza Ahamad; Benojir Ahammed; Lal B Rawal; Roohallah Alizadehsani; Jemal Abawajy; Liliana Laranjo; Clara K Chow; Ralph Maddison
Journal:  Front Cardiovasc Med       Date:  2022-03-31
  5 in total

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