Search

Summary: Background: India has seen more than 43 million confirmed cases of COVID-19 as of April 2022, with a recovery rate of 98.8%, resulting in a large section of the population including the healthcare workers (HCWs), susceptible to develop post COVID sequelae. This study was carried out to assess the nature and prevalence of medical sequelae following COVID-19 infection, and risk factors, if any. Methods: This was an observational, multicenter cross-sectional study conducted at eight tertiary care centers. The consenting participants were HCWs between 12 and 52 weeks post discharge after COVID-19 infection. Data on demographics, medical history, clinical features of COVID-19 and various symptoms of COVID sequelae was collected through specific questionnaire. Finding: Mean age of the 679 eligible participants was 31.49 ± 9.54 years. The overall prevalence of COVID sequelae was 30.34%, with fatigue (11.5%) being the most common followed by insomnia (8.5%), difficulty in breathing during activity (6%) and pain in joints (5%). The odds of having any sequelae were significantly higher among participants who had moderate to severe COVID-19 (OR 6.51; 95% CI 3.46–12.23) and lower among males (OR 0.55; 95% CI 0.39–0.76). Besides these, other predictors for having sequelae were age (≥45 years), presence of any comorbidity (especially hypertension and asthma), category of HCW (non-doctors vs doctors) and hospitalisation due to COVID-19. Interpretation: Approximately one-third of the participants experienced COVID sequelae. Severity of COVID illness, female gender, advanced age, co-morbidity were significant risk factors for COVID sequelae. Funding: This work is a part of Indian Council for Medical Research (ICMR)- Rational Use of Medicines network. No additional financial support was received from ICMR to carry out the work, for study materials, medical writing, and APC.

Background: India has become the diabetes capital of the world. Analyzing trends in drug prescribing helps in judging rationality of prescriptions in different settings. This study aimed to assess disease and prescribing trends with a special emphasis on evaluating use of metformin, insulin, fixed dose combinations (FDCs), concomitant medications, pill burden, and costs of drug therapy in diabetes. Materials and Methods: This was a cross-sectional study in which patients of either sex who attended the diabetes clinic at a tertiary care center over 9 months were included consecutively. Basic demographic profile, clinical, and treatment details on the day of visit were collected from the prescription charts. Drug costs for prescriptions were calculated using generic and median brand prices of formulations using a recognized commercial drug directory and generic price list of the government, respectively. Data were analyzed by using Microsoft Excel and Open Epi online software to compare results with published studies. Results: Average age of diabetics was 53.9 ± 11.8 years and disease duration was 8.13 ± 7.78 years in 336 prescriptions analyzed. Dual drug regimens were seen in 32.7% prescriptions, most commonly metformin and sulfonylureas, followed by triple drug regimens (25%) with inhibition of dipeptidyl peptidase IV (DPP IV) inhibitor. Metformin was prescribed in 95% prescriptions (mean dose 1511 ± 559.87 mg) and insulin in 22.6% prescriptions. Angiotensin receptor blocker (ARBs) and statins were the most commonly prescribed concomitant drugs. One FDC per prescription (median) each for diabetes and comorbidities were prescribed. Daily pill burden was 4.59 ± 2.65 pills. The median monthly cost of drug therapy with branded prescribing was INR 870.43 and INR 393.72 with the use of generics. Inferences drawn by comparison with published data showed variable results for different parameters analyzed. Conclusion: Disease pattern was as expected for the region and trends of therapy showed concurrence with rational prescribing. Pill burden and cost of therapy remain high with a significant contribution of comorbidities.

Byline: Ratinder. Jhaj, Aditya. Banerjee, Nilima. Kshirsagar, Balakrishnan. Sadasivam, Sujith. Chandy, Heber. Bright, Preetha. Chugh, C. Tripathi, Dinesh. Badyal, Madhulika. Samuel, Bikash. Medhi, Ajay. Prakash, Rupa. Joshi, Sandhya. Kamat, Raakhi. [...]

Byline: Ratinder. Jhaj, Dinesh. Asati, Deepa. Chaudhary, Balakrishnan. Sadasivam OBJECTIVES AND METHODS: In September 2018, the government of India banned 328 fixed dose combinations (FDCs), 24 of which are combinations [...]

Background: The present study was conducted to study the prevalence of HAIs in a newly established MICU, common microorganisms causing HAIs and their antibiotic-sensitivity profile, and antimicrobial utilization and mortality rate. Methods: The present retrospective cohort study was carried out at AIIMS, Bhopal (2015–2019). The prevalence of HAIs was determined; sites of HAIs and common causative microorganisms were identified, and their antibiotic-sensitivity profiles were studied. The group of patients with HAIs was matched with a control group drawn from the pool of patients without HAIs; this matching was done with respect to age, gender, and clinical diagnosis. Antimicrobial utilization, Period of ICU stay, comorbidities and patient mortality rates in the two groups were analyzed. The clinical criteria by the CDC- National Nosocomial Infections Surveillance to diagnose HAIs. Results: A total of 281 ICU patients' records were analyzed. The mean age was 47.21 ± 19.07 years. Of these 89 were found to have developed ICU-acquired HAIs (Prevalance:32%). Bloodstream infections (33%) and respiratory tract infections (30.68%), catheter-associated urinary tract infections (25.56%), and surgical site infections (6.76%) were the commonest. The most frequently isolated microorganism causing HAIs was K. pneumonia (18%), A. baumannii (14%) and E. coli (12%), 31% isolates of which were multidrug resistant. The average length of ICU stay was high in patients with HAIs (13.85 vs 8.2 days). The most common co-morbidity was type 2 diabetes mellitus (42.86%). Prolonged ICU stays [OR 1.13, (95% CI; 0.04–0.10)] and the presence of HAIs [OR 1.18(95%CI; (0.03–0.15)] were associated with an increased risk of mortality Conclusions: An increased prevalence of HAIs essentially bloodstream infections and respiratory infections with MDR organisms to antimicrobials in the watch group is highly considerable. Acquisition of HAIs with MDR organisms and increased length of hospital stay are considerable risk factors for increased mortality in ICU-admitted patients. Regular antimicrobial stewardship activities and revising existing hospital infection control policies accordingly may reduce HAIs. [ABSTRACT FROM AUTHOR]