Assessment of Cardiovascular Risk Factors in Patients with Type 2 Diabetes in Upper Egypt Villages

Regional prevalence of hypertension among people diagnosed with diabetes in Africa, a systematic review and meta-analysis

Hypertension and diabetes comorbidity can increase healthcare expenditure and the risk of coronary heart disease. We conducted a systematic review and meta-analysis to estimate the prevalence of hypertension among people with diabetes in African countries. We searched EMBASE, PubMed and HINARI databases from inception to March 2023. Cross-sectional studies reporting the prevalence of hypertension among people with diabetes and published in English in Africa were eligible for inclusion. The cross-sectional study design component of the mixed method appraisal tool was used to assess the quality of the included studies. We quantified the overall and regional prevalence of hypertension among people with diabetes using random-effects meta-analysis. We assessed heterogeneity and publication bias using I2 statistics and funnel plots. Out of 3815 articles retrieved from the various databases, 41 met the inclusion criteria with sample sizes ranging from 80 to 116726. The mean age was 58 years (± 11) and 56% were women. The pooled prevalence of hypertension in people diagnosed with diabetes was 58.1% [95% CI: 52.0% - 63.2%]. By region, Central Africa had the highest hypertension prevalence; 77.6% [95% CI: 53.0% - 91.4%], Southern Africa 69.1% [95% CI: 59.8% - 77.1%;], North Africa 63.4% [95% CI: 37.1% - 69.1%;], West Africa 51.5% [95% CI: 41.8% - 61.1%] and East Africa 53.0% [95% CI: 45.8% - 59.1%]. Increasing age, being overweight/obese, being employed, longer duration of diabetes, urban residence, and male sex were reported to be associated with a higher likelihood of developing hypertension. The high prevalence of hypertension among people with diabetes in Africa highlights the critical need for an integrated differentiated service delivery to improve and strengthen primary care and prevent cardiovascular disease. Findings from this meta-analysis may inform the delivery of interventions to prevent premature cardiovascular disease deaths among persons in the region.

Patient Characteristics and Predictors of Pulmonary Embolism in Patients Infected with COVID – 19 in Upper Egypt

Background

A little is known about the risk factors and predictors of pulmonary embolism (PE) in Coronavirus disease 2019 (Covid-19) infected patients. Therefore, we directed this study to investigate the predictors of PE in patients infected with Covid - 19 in Upper Egypt.

Methods

We conducted a retrospective cohort study on 297 patients infected with COVID-19, aged ≥ 18 years old. Suspicion of COVID-19 infection was based on the World Health Organization (WHO) criteria and confirmed by nasal and pharyngeal swab for real-time reverse transcriptase-polymerase chain reaction (RT-PCR) analysis. The patient was also determined to have COVID-19 when CT results that were thought to be typical for COVID-19 and clinical data that were compatible were present.

Results

PE was diagnosed in 18.2% of patients. We found that the incidence of PE was significantly higher in older patients, females, those with higher BMI, hypertensive patients, diabetics, and patients with co-morbidities. Also, PE was significantly higher in patients presented with dyspnea, chest pain, longer duration of symptoms at hospital admission, and lower oxygen concentration. The mean serum Hb level, platelet count, TLC and absolute lymphocytic count were markedly reduced in those who had PE. All the patients who developed PE had a CO-RADS scale five on their CT chest scan. Age > 65, BMI > 25, DM, and associated co-morbidities were the independent patients' characteristics associated with the development of PE after the multivariate regression analysis.

Conclusion

PE is a common complication of Covid 19 infection. PE is associated with a variety of clinical and laboratory parameters in univariate analysis, but age > 65, BMI > 25, DM, and associated co-morbidities were the independent patients' characteristics associated with the development of PE in those infected with Covid-19.

Prevalence of Cardiovascular Risk Factors Among Patients With Diabetes Mellitus Type 2 at King Fahad University Hospital, Saudi Arabia

Background

Diabetes mellitus is considered a major risk factor for cardiovascular diseases. Patients with diabetes mellitus type 2 (DM-II) are at twice as high risk for the development of cardiovascular diseases than the general population. Thus, we aimed to assess the most prevalent cardiovascular risk (CVR) factors among DM-II patients in the Eastern province of Saudi Arabia.

Method

This is a cross-sectional, retrospective, and observational study conducted on DM-II patients at King Fahad University Hospital (KFUH) Al Khobar, Saudi Arabia, from January 2016 to December 2021. The total number of participants was 373 who were patients with DM-II. The patients' demographic information (age, sex, marital status, height, weight, body mass index (BMI), waist, hip circumference, and waist-hip ratio were calculated or obtained from hospital electronic records as were the CVR factors, age, gender, smoking habits, physical activity, BMI, haemodynamic measurements, glycosylated haemoglobin (HbA1C) levels and lipid profile.

The collected data were analyzed by using SPSS Statistics v.28 (IBM Corp., Armonk, NY). The descriptive statistics were reported using mean±SD for numerical data and relative frequencies (%) for categorical data. P < 0.05 were counted significant. Quantitative data were analyzed using the ANOVA test to compare the means of the three groups. Qualitative data were analyzed and compared using the chi-square test. Fisher’s exact test was also used to study the statistical significance of variables. Spearman rank correlation was used to study the relationship between HbA1C and other CV risk factors. 

Results

The mean age was 58 (± 13) years; females were 57% of the sample. Around 92% were smokers, 84% had a sedentary lifestyle, 72% had dyslipidemia, 58% were obese, 30% were overweight, 58% reported poorly control of their diabetes, 50% had hypertension and 32% had pre-hypertension. Furthermore, 89% of participants had two or more CVR factors other than DM-II. We found a significant association between high body mass index, dyslipidemia, high systolic blood pressure and pulse pressure (p<0.05) with HbA1C.

Conclusion

The majority of participants had two or more cardiovascular risk factors in addition to DM-II. Poor control of DM-II and cardiovascular risk factors cannot be ignored and primary to tertiary prevention must be the top priority when managing the diabetic population in order to prevent devastating outcomes and progression of reversible morbidity.

Poor glycemic control, cardiovascular disease risk factors and their clustering among patients with type 2 diabetes mellitus: A cross-sectional study from Nepal

Background

Cardiovascular disease (CVD) is the most common complication of diabetes mellitus (DM). To prevent morbidity and mortality among patients with type 2 diabetes mellitus (T2DM), optimization of glycemic status and minimizing CVD risk factors is essential. As Nepal has limited data on these CVD risk parameters, we assessed the prevalence of poor glycemic control, CVD risk factors, and their clustering among patients with T2DM.

Methods

Using a cross-sectional study design, we collected data of 366 patients with T2DM. We applied a multistage cluster sampling technique and used the WHO STEPS tools. Binary logistic and Poisson regression was applied to calculate odds and prevalence ratio of clustering of risk factors, considering P< 0.05 statistically significant.

Results

The mean age of participants was 54.5±10.7 years and 208 (57%) were male. The prevalence of poor glycemic control was 66.4% (95% C.I: 61.5–71.2). The prevalence of smoking, alcohol users, inadequate fruit and vegetables intake and physical inactivity were 18% (95% C.I:14 to 21.9), 14.8% (95% C.I:11.1 to 18.4), 98.1% (95% C.I: 96.7–99.4), and 9.8% (95% C.I:6.7–12.8), respectively. Overall, 47.3% (95% C.I: 42.1–52.4) were overweight and obese, 59% (95% C.I: 52.9–63) were hypertensive, and 68% (95% C.I: 63.2–72.7) had dyslipidemia. Clustering of two, three, four, five and more than five risk factors was 12.6%, 30%, 30%,19%, and 8.7%, respectively. Four or more risk factors clustering was significantly associated with gender, age, level of education, T2DM duration, and use of medication. Risk factors clustering was significantly higher among males and users of anti-diabetic medications with prevalence ratio of 1.14 (95% C.I:1.05–1.23) and 1.09 (95% C.I: 1.09–1.18)], respectively.

Conclusions

The majority of the patients with T2DM had poor glycemic control and CVD risk factors. Policies and programs focused on the prevention and better management of T2DM and CVD risk factors should be implemented to reduce mortality in Nepal.