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Introduction: Telemedicine (TM) and teleconsultation services flourished during coronavirus disease 2019 (COVID-19) transmission to avoid COVID-19 infection and physical contact. Many physicians switched to the virtual treatment mode and nearly all types of health disciplines were covered. Through this systematic review, the authors tried to explore the strengths and weaknesses of TM, identify the barriers to adopting TM by population, and explain the limitations of this healthcare delivery model. Methods and results: In this systematic review, 28 studies were included (>53% high-quality studies) as eligible, where nearly 75% (n=21) of the studies were from India, and the remaining 25% (n=7) were from Pakistan, Bangladesh, Sri Lanka, and Nepal. Advice related to cancer, autoimmune diseases, and neurological diseases were the most common among the health disciplines in which TM was used. A peak in teleconsultation was observed during the high transmission phase of COVID-19, although major queries were associated with existing health complications and comorbidities. Conclusion: Other than a few concerns regarding connectivity, privacy, and diagnosis, TM was in fact affordable, timesaving, feasible, and accurate, which ensured a highly satisfying experience among the participants (>80%).
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INTRODUCTION: Coronavirus disease 2019 (COVID-19) is a serious illness that can affect multiple organs including the lungs. The COVID-mortality risk is attributed to the quick transmission of the virus, the severity of disease, and preclinical risk factors, such as the presence of comorbidities. High-resolution computed tomography (HRCT) can predict disease severity in COVID-19 patients. METHODOLOGY: This was a retrospective cohort study in which data were obtained from COVID centers at tertiary care hospitals in Azad Jammu and Kashmir. Details of clinical characteristics and HRCT findings along with details of smoking and comorbid history were obtained. RESULTS: Fever at hospital admission, HRCT findings, and having a partner predicted disease severity showed a significant p-value of <0.05. Old age and living in a combined household were associated with severe outcomes (p<0.05). Symptoms of shortness of breath (SOB) on hospital admission could predict the need for ICU admission in COVID-19 patients. CONCLUSION: HRCT has a good predictive value for disease severity in patients with COVID-19, and old age is a risk factor. Although, limited associations were established in the analysis, in this study hyperlipidemia and hypertension significantly affected the course of disease. Further studies should be done to explore the relationship.
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Acute kidney injury (AKI) is a sudden decline in renal function after cardiac surgery. It is characterized by a significant reduction in glomerular filtration rate, alterations in serum creatinine (S.Cr) levels, and urine output. This study aimed to retrospectively analyze a cohort of 704 patients selected using stringent inclusion and exclusion criteria. AKI was defined by an increase of 0.3 mg/dL in S.Cr levels compared to baseline. Data were collected from the hospital and analyzed using SPSS 16.0. Data analysis revealed that 22% (nâ =â 155) of the patients developed AKI on the second post-operative day, accompanied by a substantial increase in S.Cr levels (from 1.064â ±â 0.2504 to 1.255â ±â 0.2673, Pâ <â .000). Age and cardiopulmonary bypass duration were identified as risk factors along with ejection fraction and days of hospital stay, contributing to the development of AKI. Early renal replacement therapy can be planned when the diagnosis of AKI is established early after surgery.