ABSTRACT
BACKGROUND: Diabetes mellitus (DM) is associated with adverse clinical outcomes and high mortality in patients with coronavirus disease 2019 (COVID-19). The relationship between diabetes and COVID-19 is known to be bidirectional. AIM: To analyze the rate of new-onset diabetes in COVID-19 patients and compare the clinical outcomes of new-onset diabetes, pre-existing diabetes, hyperglycemic, and non-diabetes among COVID-19 patients. METHODS: We used the Meta-analysis of Observational Studies in Epidemiology statement for the present meta-analysis. Online databases were searched for all peer-reviewed articles published until November 6, 2020. Articles were screened using Covidence and data extracted. Further analysis was done using comprehensive meta-analysis. Among the 128 studies detected after thorough database searching, seven were included in the quantitative analysis. The proportion was reported with 95% confidence interval (CI) and heterogeneity was assessed using I 2. RESULTS: Analysis showed that 19.70% (CI: 10.93-32.91) of COVID-19 patients had associated DM, and 25.23% (CI: 19.07-32.58) had associated hyperglycemia. The overall mortality rate was 15.36% (CI: 12.57-18.68) of all COVID-19 cases, irrespective of their DM status. The mortality rate was 9.26% among non-diabetic patients, 10.59% among patients with COVID-19 associated hyperglycemia, 16.03% among known DM patients, and 24.96% among COVID-19 associated DM patients. The overall occurrence of adverse events was 20.52% (CI: 14.21-28.70) among COVID-19 patients in the included studies, 15.29% among non-diabetic patients, 20.41% among patients with COVID-19 associated hyperglycemia, 20.69% among known DM patients, and 45.85% among new-onset DM. Meta-regression showed an increasing rate of mortality among new hyperglycemic patients, known diabetics, and new-onset DM patients in comparison to those without diabetes. CONCLUSION: A significantly higher rate of new onset DM and hyperglycemia was observed. Higher mortality rates and adverse events were seen in patients with new-onset DM and hyperglycemia than in the non-diabetic population.
ABSTRACT
Objective: To analyse published literatures on prevalence, awareness, risk factors and control of hypertension in Nepal. Methods: We used electronic databases to search relevant articles from January 2000 till October 2020. All relevant data from selected studies were extracted into a standardized form designed in Excel. Statistical analysis was conducted using Comprehensive Meta-Analysis Software (CMA) version 3. Proportions or Odds Ratio (OR) was used to estimate the outcome with 95% confidence interval (CI). The I-squared (I2) test was used for the assessment of heterogeneity. Results: We identified a total of 3726 studies after comprehensive database searching. We performed qualitative and quantitative analysis of 40 studies. Pooling data showed 28.52% of patients with hypertension (CI: 26.40-30.75); 45.28% (CI: 38.89-51.83) aware of their high blood pressure; 31.66% (CI: 23.18-41.56) under treatment; 44.4% (CI: 36.17-53.04) had their blood pressure under optimum range. 27.4% (CI: 21.57-34.11) had pre-hypertensive range elevated blood pressure. 25.99% (CI: 21.81-30.65) of females and 34.25% (CI: 30.49-38.21) of male were hypertensive (p â= â0.007).The pooling of data showed smokers have 1.43 times (CI: 1.1429-1.7889); and alcohol users have 2.073 times (CI: 1.7154-2.5050) higher risk of having hypertension. Individuals with normal BMI have 53.15% (OR: 0.4685 CI: 0.3543-0.6195); with formal educated have 37.27% (OR: 0.6273, CI: 0.5485-0.7175); and with adequate exercise have 31.6% (OR: 0.6839, CI: 0.5203-0.8991) lower chance of having hypertension. Conclusion: Our study shows the prevalence of hypertension in Nepal is high. However, awareness, treatment and subsequently control of high blood pressure are found to be alarmingly low. Hypertension was associated with male gender, smoking, alcohol use, high BMI, no education and inadequate exercise. It calls for more attention to address the burden of hypertension and associated risk factors in Nepal.