{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:58:12Z","timestamp":1787169492586,"version":"build-2736575974"},"reference-count":12,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9]]},"abstract":"\n Introduction:<\/jats:title>\n In the prevailing COVID-19 pandemic, the Indian healthcare system has worked hard towards restricting the adverse outcomes to the least possible figures. The present study aims to share the experience of a COVID-dedicated tertiary care government hospital in Northern India of managing COVID-19 patients with comorbidities.<\/jats:p>\n <\/jats:sec>\n \n Methodology:<\/jats:title>\n A retrospective, observational study was conducted in a COVID-dedicated tertiary health care government hospital in Northern India. Details on sociodemographic data, hospital admission data, and drug utilization pattern of all laboratory-confirmed COVID-19 patients of all age groups, either gender, having comorbidity (s), and admitted between April and September, 2020 were noted and evaluated.<\/jats:p>\n <\/jats:sec>\n \n Results:<\/jats:title>\n Among the total study participants (N = 406), 2868 drugs were prescribed. Out of these, 2336 were used for the management of symptoms of COVID-19 and 532 were used for the management of coexistent comorbidity (s). For COVID-19 symptoms, the most commonly prescribed class of drugs were antimicrobials (853, 36.52%), followed by nonsteroidal antiinflammatory drugs (374, 16.01%), proton pump inhibitors (299, 12.80%), antihistamines (232, 9.93%), immunosuppressant drugs (103, 4.41%), and others. For comorbidities most commonly prescribed were antihypertensive (310, 58.60%) drugs, followed by antidiabetic drugs (166, 31.38%), bronchodilators (34, 6.43%), thyroid hormones (11, 2.08%), immunosuppressant drugs (7, 1.32%).<\/jats:p>\n <\/jats:sec>\n \n Conclusion:<\/jats:title>\n The most frequently prescribed antihypertensives were calcium channel blockers (CCBs) and least prescribed was beta blocker+CCB. Among the antidiabetic drugs, most frequently prescribed was insulin and least prescribed was DPP-4 inhibitors and Biguanide+DPP-4 inhibitor both.<\/jats:p>\n <\/jats:sec>","DOI":"10.4103\/jfmpc.jfmpc_724_21","type":"journal-article","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T10:04:42Z","timestamp":1633428282000},"page":"3387-3394","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":2,"title":["Managing comorbidities in Covid-19 patients"],"prefix":"10.4103","volume":"10","author":[{"given":"Aman","family":"Sharma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manish","family":"Jain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rahul","family":"Yadav","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priyanka","family":"Rathi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"R3-39-20240828","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1001\/jama.2020.6771","article-title":"Alterations in smell or taste in mildly symptomatic outpatients with SARS-CoV-2 infection","volume":"323","author":"Spinato","year":"2020","journal-title":"JAMA"},{"key":"R4-39-20240828","doi-asserted-by":"crossref","first-page":"102433","DOI":"10.1016\/j.jaut.2020.102433","article-title":"The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak","volume":"109","author":"Rothan","year":"2020","journal-title":"J Autoimmun"},{"key":"R5-39-20240828","doi-asserted-by":"crossref","first-page":"759","DOI":"10.15585\/mmwr.mm6924e2","article-title":"Coronavirus disease 2019 case surveillance-United States, January 22-May 30, 2020","volume":"69","author":"Stokes","year":"2020","journal-title":"Morb Mortal Wkly Rep"},{"key":"R8-39-20240828","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1056\/NEJMoa2002032","article-title":"Clinical characteristics of Coronavirus disease 2019 in China","volume":"382","author":"Guan","year":"2020","journal-title":"N Engl J Med"},{"key":"R9-39-20240828","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1001\/jama.2020.1585","article-title":"Clinical characteristics of 138 hospitalized patients with 2019 novel Coronavirus-infected pneumonia in Wuhan, China","volume":"323","author":"Wang","year":"2020","journal-title":"JAMA"},{"key":"R10-39-20240828","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1186\/s12967-020-02655-8","article-title":"Risk factors for severe COVID-19 in middle-aged patients without comorbidities: A multicentre retrospective study","volume":"18","author":"Wang","year":"2020","journal-title":"J Transl Med"},{"key":"R11-39-20240828","first-page":"13","article-title":"Characteristics, treatment outcomes and role of hydroxychloroquine among 522 COVID-19 hospitalized patients in Jaipur City: An epidemio-clinical study","volume":"68","author":"Bhandari","year":"2020","journal-title":"J Assoc Physicians India"},{"key":"R12-39-20240828","doi-asserted-by":"crossref","first-page":"1478","DOI":"10.1002\/clc.23465","article-title":"The potential association between common comorbidities and severity and mortality of coronavirus disease 2019: A pooled analysis","volume":"43","author":"Luo","year":"2020","journal-title":"Clin Cardiol"},{"key":"R13-39-20240828","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1016\/j.dsx.2020.08.032","article-title":"Impact of COVID-19 and comorbidities on health and economics: Focus on developing countries and India","volume":"14","author":"Singh","year":"2020","journal-title":"Diabetes Metab Syndr"},{"key":"R16-39-20240828","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1038\/ajh.2008.185","article-title":"Gender differences in hypertension treatment, drug utilization patterns, and blood pressure control among US adults with hypertension: Data from the National Health and Nutrition Examination Survey 1999-2004","volume":"21","author":"Gu","year":"2008","journal-title":"Am J Hypertens"},{"key":"R17-39-20240828","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1038\/s41574-020-00435-4","article-title":"COVID-19 and diabetes mellitus: From pathophysiology to clinical management","volume":"17","author":"Lim","year":"2021","journal-title":"Nat Rev Endocrinol"},{"key":"R18-39-20240828","doi-asserted-by":"crossref","first-page":"2002108","DOI":"10.1183\/13993003.02108-2020","article-title":"COVID-19 and COPD","volume":"56","author":"Leung","year":"2020","journal-title":"Eur Respir J"}],"container-title":["Journal of Family Medicine and Primary Care"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.4103\/jfmpc.jfmpc_724_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:06:50Z","timestamp":1787166410000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.4103\/jfmpc.jfmpc_724_21"}},"subtitle":["A drug utilization study in a COVID-dedicated hospital in Northern India"],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":12,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.4103\/jfmpc.jfmpc_724_21","relation":{},"ISSN":["2249-4863"],"issn-type":[{"value":"2249-4863","type":"print"}],"subject":[],"published":{"date-parts":[[2021,9]]}}}