Safdarjung Hospital is a multi-specialty hospital, and the largest central government hospital in India if measured by bed strength. It is associated with Vardhman Mahavir Medical College and located in the heart of New Delhi on the Ring Road, opposite to the All India Institute of Medical Sciences (AIIMS). Until the inception of All India Institute of Medical Science in 1956, Safdarjung Hospital was the only tertiary care hospital in Delhi. In 1962, it became a centre of training and teaching for post-graduate students of the University of Delhi. From 1973 to 1990, the hospital and its faculty was associated with University College of Medical Sciences. But with the establishment of Indraprastha University in 1998, the hospital was later merged with the Vardhman Mahavir Medical College..
This study aims to characterize the practice of female interventional radiologists (IRs) from India and identify gender-related barriers. It provides insights and baseline data to guide initiatives advancing gender equity and diversity in the specialty. A cross sectional study of female members of the Indian Society of Vascular and Interventional Radiology (ISVIR) was conducted between February and July 2025. Respondents provided demographic data and perspectives on leadership, work–life balance, gender bias, and career satisfaction. Descriptive analysis and logistic regression identified predictors of career outcomes. ISVIR registry listed 1,553 members, of whom 163 (10.5
Purpose Metabolic dysfunction and chronic kidney disease (CKD) often coexist, presenting therapeutic challenges. Saroglitazar, a dual proliferator-activated receptor (PPAR)-α/γ agonist, shows promising effects in managing dyslipidemia and glycemic abnormalities; however, real-world evidence (RWE) is limited across varying degrees of renal function. This study evaluated the effectiveness and safety of saroglitazar (4 mg) in patients with metabolic disease in India stratified by estimated glomerular filtration rate (eGFR). Methods This retrospective observational study analyzed the electronic medical records (EMRs) of 614 patients with metabolic disorders prescribed saroglitazar. Changes in lipid and glycemic parameters, liver enzymes, and renal function were assessed from baseline to follow-up (minimum 90 days) across eGFR categories. Results A total of 614 patients were included. Metabolic and cardiac disorders were the most common conditions at baseline. Significant reductions were observed in triglycerides (TG, -62.68 mg/dL), low-density lipoproteins (LDL, -7.03 mg/dL), and glycosylated hemoglobin (HbA1c, -0.76%) in the overall population (p < 0.001), with similar reductions in patients with eGFR ≥90 mL/min/1.73 m² and 60-89.99 mL/min/1.73 m². Patients with hepatic conditions showed a significant decrease in aspartate transaminase (AST) and alanine transaminase (ALT) levels. eGFR levels remained stable across categories. Saroglitazar was associated with a low incidence of adverse events, including asthenia (n = 12, 1.95%) and pyrexia (n = 6, 0.97%). Conclusion Saroglitazar was associated with improved lipid and glycemic profiles across various levels of kidney function, with limited safety concerns. These real-world findings suggest the potential metabolic benefits of saroglitazar in Indian patients with metabolic abnormalities, across diverse renal functions.
Background:Sleep is essential for physical, emotional, and cognitive well-being. This study aimed to estimate the prevalence and determinants of poor sleep quality among undergraduate students in a city in Haryana. Materials and Methods:This cross-sectional study was conducted among 600 randomly selected undergraduate students in medical, paramedical, and other graduate colleges. Sleep quality was assessed using the Pittsburgh sleep quality index (PSQI). A Google form questionnaire containing demographic details of students, PSQI, and International Physical Activity Questionnaire-Short Form (IPAQ-SF) was shared with students. Pearson's Chi-Square test and logistic regression were used for analysis. Results:Of the 541 respondents, 65.4% had poor sleep quality (PSQI >5). On multivariable binary logistic regression analysis, the odds of poor sleep quality were approximately two times in students from urban family backgrounds and who lacked moderate to vigorous physical activity, as compared to their reference group, respectively. The odds ratio of poor sleep quality was 2.7 times among those who were dissatisfied with their academic performance than those who were satisfied. The odds of poor sleep quality increased by 23% for every one-hour increase in duration of non-academic screen use. Conclusion:Approximately two-thirds of undergraduate college students in Karnal city, Haryana, had poor sleep quality. Urban family background, physical inactivity, dissatisfaction with academic performance, and increased screen use for non-academic purposes were significant predictors of poor sleep quality. Interventions promoting physical activity, healthy screen-use practices, and student well-being may help improve sleep quality among undergraduate students.
