Predictors of mortality among hospitalized hypertensive patients with COVID-19 during third and fourth waves in Pakistan.

INTRODUCTION: Hypertension significantly contributes to the severity and mortality of COVID-19 patients. It has also been a risk factor for prolonged hospitalization and the need for intensive care. However, the data is still evolving. Therefore, this study investigated the predictors of mortality among hypertensive COVID-19 patients. METHODOLOGY: A single-center cohort study was performed at Indus Hospital and Health Network, Karachi, Pakistan, between April 1, 2021, and October 31, 2021. This study included 333 hospitalized hypertensive COVID-19 patients and evaluated their clinical characteristics and survival outcomes. A multivariate logistic regression model was applied in IBM SPSS 27.0 to determine the predictors of mortality. RESULTS: The majority of patients were females (54.7%), the median age was 62 [55-70] years, with co-existing diabetes (56.5%) and severely ill (52.6%). The independent predictors of mortality identified were age ≥ 65 years (aOR 20.89, 95% CI, 5.81-75.15; p < 0.001), pulse rate (aOR 1.03, 95% CI 1.01-1.63; p = 0.006), serum creatinine (aOR 1.34, 95% CI 1.11-1.63; p = 0.002), use of antibiotics (aOR 3.40, 95% CI 1.29-8.98; p = 0.014)), corticosteroid (aOR 49.68, 95% CI 1.83-1350.31; p = 0.020), and who needed high flow oxygen supply (aOR 13.08, 95% CI 1.70-100.54; p < 0.001), non-invasive mechanical ventilation (aOR 229.01, 95% CI 29.30-1789.71; p < 0.001) and invasive mechanical ventilation (aOR 379.54, 95% CI 36.60-3935.87; p < 0.001). CONCLUSIONS: Our study suggests that older age, elevated pulse rate, serum creatinine, use of antibiotics and corticosteroids, and the need for mechanical ventilation predict mortality among hypertensive COVID-19.

The Adoption of Mobile Health Applications Among University Students in Health Colleges.

BACKGROUND: Studies documented the important role of health-care professionals in encouraging their patients to adopt and use mobile health applications. Health-care professionals who use and believe in mobile health applications are more likely to encourage and empower their patients to use it. Likewise, students in health-profession related specialties who use mobile health applications are more likely to continue to do so when they join the workforce. OBJECTIVE: The objective of this study was to examine the rate of adoption of mobile health applications in students in health colleges, identify the types of health applications used by health students, and identify the barriers that prevent the use of mobile health applications. METHODS: A descriptive cross-sectional study was conducted among university students. Students were invited to participate in a self-administrated survey from five health colleges. The survey included questions about the pattern of utilization, the purpose of the health-related application being used, and the barriers to adoption. The analysis included descriptive statistics using SPSS. RESULTS: A total of 383 students participated in this study. The within gender comparison showed that more female students were using health-related applications 59.8% compared to male students 49%. The most frequent purpose of using mobile health applications were tracking physical activities 72.5% followed by counting calories intake 44%. We also identified the frequency and duration of use as well as the factors which may impact students intention to use. CONCLUSION: Fitness and dietary related applications were more common which might be explained by the fact that we only included a younger age group. The reported levels of perceived usefulness, accessibility and ease of use suggest that students will continue to use it.