{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:36:34Z","timestamp":1768422994212,"version":"3.49.0"},"reference-count":25,"publisher":"Scientific Scholar","content-domain":{"domain":["nmji.in"],"crossmark-restriction":true},"short-container-title":["NMJI"],"abstract":"<jats:sec id=\"st1\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Long-term Covid-19 symptoms have the potential to negatively impact health and quality of life. We evaluated the incidence and predictors of long Covid-19 among hospitalized patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"st2\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We prospectively collected clinical data of 393 patients diagnosed as Covid-19 positive and admitted to our hospital. At 1-year follow-up, all vital parameters and laboratory investigations were recorded. A multiple logistic regression model was used to determine predictors of long Covid-19.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"st3\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Long Covid-19 was found in 34.4% of patients at 1-year follow-up. Most commonly reported symptoms were joint pain (40%), fatigue (33%), and dyspnoea (22.9%). Severity of disease at the time of admission (1.5; 95% Confidence Interval [CI] 1.09\u20132.2; p=0.01), high body-mass index (BMI) (1.1; 95% CI 1.03\u20131.13; p=0.003) and increased age (1.02; 95% CI 1.00\u20131.04; p=0.02) were independent predictors of long Covid-19 on follow-up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"st4\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Almost one-third of patients were diagnosed with long Covid-19 at 1-year follow-up. Severity of disease at the time of admission, increased BMI, and increased age were independent predictors of long Covid-19.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.25259\/nmji_222_2023","type":"journal-article","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T05:03:24Z","timestamp":1767330204000},"page":"19-22","update-policy":"https:\/\/doi.org\/10.25259\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Incidence and predictors of long Covid-19 in hospitalized patients: A cohort study"],"prefix":"10.25259","volume":"39","author":[{"given":"POOJA","family":"VYAS","sequence":"first","affiliation":[{"name":"Department of Cardiology, U.N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Ahmedabad, Gujarat, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"DINESH","family":"JOSHI","sequence":"additional","affiliation":[{"name":"Department of Cardiology, U.N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Ahmedabad, Gujarat, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KEWAL","family":"KANABAR","sequence":"additional","affiliation":[{"name":"Department of Cardiology, U.N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Ahmedabad, Gujarat, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MEENA","family":"PARMAR","sequence":"additional","affiliation":[{"name":"Department of Cardiology, U.N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Ahmedabad, Gujarat, India,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JAYKUMAR","family":"VADODARIYA","sequence":"additional","affiliation":[{"name":"Department of Cardiology, U.N. 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