{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T19:33:38Z","timestamp":1787772818571,"version":"build-2784847793"},"reference-count":10,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"5","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,5]]},"abstract":"\n Background:<\/jats:title>\n Given the limited availability of critical care resources in our country, it is important to identify reliable predictors of hypoxia in patients with COVID-19 infection. We thus sought to compare differential predictive values of demographic, clinical, and laboratory measures and identify predictor for hypoxia in COVID-19 infection.<\/jats:p>\n <\/jats:sec>\n \n Materials and Methods:<\/jats:title>\n \n This is single-center retrospective analysis of patient admitted at AIIMS Patna between 15\n th<\/jats:sup>\n June and 15\n th<\/jats:sup>\n Aug. All the patients who had oxygen saturation less than 94% grouped under hypoxic group while \u226594% in non-hypoxic group at room air. Statistical analysis: Logistic regression model used to determine the predictor of hypoxia in COVID-19 infection.\n <\/jats:p>\n <\/jats:sec>\n \n Results:<\/jats:title>\n \n Total 73 were used for analysis. Study patients had a mean age of 55.05 \u00b1 12.7 year, of whom 78.08% were male (57\/73). 39 (53.42%) patients were found hypoxic at time of admission while 34 (46.56%) were non-hypoxic. Presence of dyspnoea significantly found more frequently in hypoxic patients (\n P<\/jats:italic>\n = 0.0003). Patients with O2 saturation of less than 94% have more likely to have diabetes (\n P<\/jats:italic>\n = 0.002) and hypertension (\n P<\/jats:italic>\n = 0.02). Analysis of laboratory variables showed that leucocytosis (\n P<\/jats:italic>\n = 0.007) and neutrophilia (\n P<\/jats:italic>\n = 0.01) were significantly higher in hypoxic group compare to non-hypoxic group. Univariate regression model showed patient with any one comorbidities, diabetes, or hypertension was found as strong risk factor for hypoxia after COVID-19 infection (\n P<\/jats:italic>\n < 0.05).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion:<\/jats:title>\n This is the first study to identify predictor of hypoxia in COVID-19 infection. Patient with any one comorbidities, diabetes, or hypertension was found strong risk factor for hypoxia after COVID-19 infection. Among lab variable, leucocytosis, neutrophilia, lymphocytopenia, and CRP (>27.5 mg\/L) were found as predictor of hypoxia in COVID infection.<\/jats:p>\n <\/jats:sec>","DOI":"10.4103\/jfmpc.jfmpc_2252_20","type":"journal-article","created":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T10:08:51Z","timestamp":1622628531000},"page":"1852-1855","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":5,"title":["Study to identify predictor of hypoxia in COVID-19 infection"],"prefix":"10.4103","volume":"10","author":[{"given":"Deependra K.","family":"Rai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Somesh","family":"Thakur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"R1-11-20240828","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1056\/NEJMoa2001017","article-title":"A novel coronavirus from patients with pneumonia in China, 2019","volume":"382","author":"Zhu","year":"2020","journal-title":"N Engl J Med"},{"key":"R2-11-20240828","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/S2213-2600(20)30056-4","article-title":"Coronavirus in China","volume":"8","author":"Burki","year":"2020","journal-title":"Lancet Respir Med"},{"key":"R3-11-20240828","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1001\/jama.2020.2648","article-title":"Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention","volume":"323","author":"Wu","year":"2020","journal-title":"JAMA"},{"key":"R6-11-20240828","doi-asserted-by":"crossref","first-page":"m1966","DOI":"10.1136\/bmj.m1966","article-title":"Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: Prospective cohort study","volume":"369","author":"Petrilli","year":"2020","journal-title":"BMJ"},{"key":"R7-11-20240828","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1016\/j.mayocp.2020.04.006","article-title":"Association between hypoxemia and mortality in patients with COVID-19","volume":"95","author":"Xie","year":"2020","journal-title":"Mayo Clin Proc"},{"key":"R8-11-20240828","doi-asserted-by":"crossref","first-page":"e0244171","DOI":"10.1371\/journal.pone.0244171","article-title":"Oxygen saturation as a predictor of mortality in hospitalized adult patients with COVID-19 in a public hospital in Lima, Peru","volume":"15","author":"Mej\u00eda","year":"2020","journal-title":"PLoS One"},{"key":"R9-11-20240828","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":"R10-11-20240828","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":"R11-11-20240828","doi-asserted-by":"crossref","first-page":"1574","DOI":"10.1001\/jama.2020.5394","article-title":"Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy","volume":"323","author":"Grasselli","year":"2020","journal-title":"JAMA"},{"key":"R12-11-20240828","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1038\/s41392-020-0148-4","article-title":"Lymphopenia predicts disease severity of COVID-19: A descriptive and predictive study","volume":"5","author":"Tan","year":"2020","journal-title":"Sig Transduct Target Ther"}],"container-title":["Journal of Family Medicine and Primary Care"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.4103\/jfmpc.jfmpc_2252_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T19:13:36Z","timestamp":1787771616000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.4103\/jfmpc.jfmpc_2252_20"}},"subtitle":["A single-center, retrospective study"],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":10,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.4103\/jfmpc.jfmpc_2252_20","relation":{},"ISSN":["2249-4863"],"issn-type":[{"value":"2249-4863","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}