Tejeswini CJ , Vinaya Rani G , Jehath Syed , Prathiba Pereira , Pankaja S S , Shwethashree MS , Basavanagowdappa H
{"title":"最年长者的 COVID:我们在一家三级医院急诊室学到的东西","authors":"Tejeswini CJ , Vinaya Rani G , Jehath Syed , Prathiba Pereira , Pankaja S S , Shwethashree MS , Basavanagowdappa H","doi":"10.1016/j.aggp.2024.100019","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>COVID-19 created extreme havoc among the elderly and the oldest-old bore the maximum brunt during triaging. With COVID cases again on the raise, this retrospective analysis gives an insight of the clinical spectrum and mortality in COVID-19 infected elderly patients admitted to a tertiary care teaching hospital in southern India during the first and the second waves of COVID.</p></div><div><h3>Methods</h3><p>The electronic database search for the patients’ records was performed using hospital HIS platform. The variables included patients’ demography, presenting complaints, comorbidities, d-dimer value, treatment received and the length of stay till discharge or death. The data was presented as n (%) and the odds ratio at a 95 % confidence interval was used to identify the predictors.</p></div><div><h3>Results</h3><p>A total of 1378 COVID-positive elderly patient records were analysed. Elderly aged 60–74 years were considered as young-old, 75–84 years middle old and above 85 years as oldest old. 75.3 % elderly had comorbidities [<em>p</em> < 0.001]. There were 225(16 %) mortalities 31.9 % in oldest-old. Increasing age (OR 1.027, <em>p</em> = 0.022*) male gender (OR 1.598, <em>p</em> = 0.016*), low SpO2 on admission (OR 0.922, <em>p</em> < 0.001*), and duration of hospital stay (OR 0.907, <em>p</em> < 0.001*) were significant predictors of the event.</p></div><div><h3>Conclusion</h3><p>Maximum mortality was seen in the oldest old who had fewer days of hospitalization and d-dimer had no prognostication in the oldest old.</p></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"1 2","pages":"Article 100019"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S295030782400016X/pdfft?md5=d4292d6c84e86b656cae7457932a4613&pid=1-s2.0-S295030782400016X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"COVID in oldest old: What we learnt in a tertiary care hospital emergency\",\"authors\":\"Tejeswini CJ , Vinaya Rani G , Jehath Syed , Prathiba Pereira , Pankaja S S , Shwethashree MS , Basavanagowdappa H\",\"doi\":\"10.1016/j.aggp.2024.100019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>COVID-19 created extreme havoc among the elderly and the oldest-old bore the maximum brunt during triaging. With COVID cases again on the raise, this retrospective analysis gives an insight of the clinical spectrum and mortality in COVID-19 infected elderly patients admitted to a tertiary care teaching hospital in southern India during the first and the second waves of COVID.</p></div><div><h3>Methods</h3><p>The electronic database search for the patients’ records was performed using hospital HIS platform. The variables included patients’ demography, presenting complaints, comorbidities, d-dimer value, treatment received and the length of stay till discharge or death. The data was presented as n (%) and the odds ratio at a 95 % confidence interval was used to identify the predictors.</p></div><div><h3>Results</h3><p>A total of 1378 COVID-positive elderly patient records were analysed. Elderly aged 60–74 years were considered as young-old, 75–84 years middle old and above 85 years as oldest old. 75.3 % elderly had comorbidities [<em>p</em> < 0.001]. There were 225(16 %) mortalities 31.9 % in oldest-old. Increasing age (OR 1.027, <em>p</em> = 0.022*) male gender (OR 1.598, <em>p</em> = 0.016*), low SpO2 on admission (OR 0.922, <em>p</em> < 0.001*), and duration of hospital stay (OR 0.907, <em>p</em> < 0.001*) were significant predictors of the event.</p></div><div><h3>Conclusion</h3><p>Maximum mortality was seen in the oldest old who had fewer days of hospitalization and d-dimer had no prognostication in the oldest old.</p></div>\",\"PeriodicalId\":100119,\"journal\":{\"name\":\"Archives of Gerontology and Geriatrics Plus\",\"volume\":\"1 2\",\"pages\":\"Article 100019\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S295030782400016X/pdfft?md5=d4292d6c84e86b656cae7457932a4613&pid=1-s2.0-S295030782400016X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Gerontology and Geriatrics Plus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S295030782400016X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Gerontology and Geriatrics Plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S295030782400016X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
COVID in oldest old: What we learnt in a tertiary care hospital emergency
Background
COVID-19 created extreme havoc among the elderly and the oldest-old bore the maximum brunt during triaging. With COVID cases again on the raise, this retrospective analysis gives an insight of the clinical spectrum and mortality in COVID-19 infected elderly patients admitted to a tertiary care teaching hospital in southern India during the first and the second waves of COVID.
Methods
The electronic database search for the patients’ records was performed using hospital HIS platform. The variables included patients’ demography, presenting complaints, comorbidities, d-dimer value, treatment received and the length of stay till discharge or death. The data was presented as n (%) and the odds ratio at a 95 % confidence interval was used to identify the predictors.
Results
A total of 1378 COVID-positive elderly patient records were analysed. Elderly aged 60–74 years were considered as young-old, 75–84 years middle old and above 85 years as oldest old. 75.3 % elderly had comorbidities [p < 0.001]. There were 225(16 %) mortalities 31.9 % in oldest-old. Increasing age (OR 1.027, p = 0.022*) male gender (OR 1.598, p = 0.016*), low SpO2 on admission (OR 0.922, p < 0.001*), and duration of hospital stay (OR 0.907, p < 0.001*) were significant predictors of the event.
Conclusion
Maximum mortality was seen in the oldest old who had fewer days of hospitalization and d-dimer had no prognostication in the oldest old.