{"title":"他汀类药物对COVID-19患者的保护作用:一项回顾性观察研究","authors":"Srikanth Umakanthan, Sanjum Senthil, Stanley John, Mahesh K Madhavan, Jessica Das, Sonal Patil, Ragunath Rameshwaram, Ananya Cintham, Venkatesh Subramaniam, Madhusudan Yogi, Abhishek Bansal, Sumesh Achutham, Chandini Shekar, Vijay Murthy, Robbin Selvaraj","doi":"10.1186/s41231-021-00102-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To evaluate and determine the protective role of statins in COVID-19 patients.</p><p><strong>Methods: </strong>This is a retrospective cohort study conducted across five hospitals in India. Patients diagnosed with COVID-19 and hospitalized with existing and valid medical documentation were included.</p><p><strong>Results: </strong>This study comprised 3252 COVID-19 patients, of whom 1048 (32.2%) were on statins, with 52.4% being males. The comorbidity prevalence of hypertension was 75%, followed by diabetes 62.51% and coronary artery disease being 47.5%. At the time of hospitalization, statin users had a higher incidence of dyspnea, cough, and fatigue (95.8, 93.3, and 92.7%). The laboratory results revealed a lower mean of WBC count (7.8 × 10<sup>3</sup>/μL), D-dimer (2.4 μg/mL), and C-reactive protein (103 mg/L) among statin users. They also had lower mortality rates (17.1%), a lesser requirement for mechanical ventilation (20%), and hemodialysis (5.4%).</p><p><strong>Conclusion: </strong>This observation study elaborates on the beneficial effects of statins in COVID-19 patients. However, the inferences from this study should be viewed with caution due to the impending effect of confounding factors on its statistical results.</p>","PeriodicalId":75244,"journal":{"name":"Translational medicine communications","volume":"6 1","pages":"22"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475829/pdf/","citationCount":"17","resultStr":"{\"title\":\"The protective role of statins in COVID-19 patients: a retrospective observational study.\",\"authors\":\"Srikanth Umakanthan, Sanjum Senthil, Stanley John, Mahesh K Madhavan, Jessica Das, Sonal Patil, Ragunath Rameshwaram, Ananya Cintham, Venkatesh Subramaniam, Madhusudan Yogi, Abhishek Bansal, Sumesh Achutham, Chandini Shekar, Vijay Murthy, Robbin Selvaraj\",\"doi\":\"10.1186/s41231-021-00102-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To evaluate and determine the protective role of statins in COVID-19 patients.</p><p><strong>Methods: </strong>This is a retrospective cohort study conducted across five hospitals in India. Patients diagnosed with COVID-19 and hospitalized with existing and valid medical documentation were included.</p><p><strong>Results: </strong>This study comprised 3252 COVID-19 patients, of whom 1048 (32.2%) were on statins, with 52.4% being males. The comorbidity prevalence of hypertension was 75%, followed by diabetes 62.51% and coronary artery disease being 47.5%. At the time of hospitalization, statin users had a higher incidence of dyspnea, cough, and fatigue (95.8, 93.3, and 92.7%). The laboratory results revealed a lower mean of WBC count (7.8 × 10<sup>3</sup>/μL), D-dimer (2.4 μg/mL), and C-reactive protein (103 mg/L) among statin users. They also had lower mortality rates (17.1%), a lesser requirement for mechanical ventilation (20%), and hemodialysis (5.4%).</p><p><strong>Conclusion: </strong>This observation study elaborates on the beneficial effects of statins in COVID-19 patients. However, the inferences from this study should be viewed with caution due to the impending effect of confounding factors on its statistical results.</p>\",\"PeriodicalId\":75244,\"journal\":{\"name\":\"Translational medicine communications\",\"volume\":\"6 1\",\"pages\":\"22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475829/pdf/\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational medicine communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41231-021-00102-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational medicine communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41231-021-00102-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The protective role of statins in COVID-19 patients: a retrospective observational study.
Background: To evaluate and determine the protective role of statins in COVID-19 patients.
Methods: This is a retrospective cohort study conducted across five hospitals in India. Patients diagnosed with COVID-19 and hospitalized with existing and valid medical documentation were included.
Results: This study comprised 3252 COVID-19 patients, of whom 1048 (32.2%) were on statins, with 52.4% being males. The comorbidity prevalence of hypertension was 75%, followed by diabetes 62.51% and coronary artery disease being 47.5%. At the time of hospitalization, statin users had a higher incidence of dyspnea, cough, and fatigue (95.8, 93.3, and 92.7%). The laboratory results revealed a lower mean of WBC count (7.8 × 103/μL), D-dimer (2.4 μg/mL), and C-reactive protein (103 mg/L) among statin users. They also had lower mortality rates (17.1%), a lesser requirement for mechanical ventilation (20%), and hemodialysis (5.4%).
Conclusion: This observation study elaborates on the beneficial effects of statins in COVID-19 patients. However, the inferences from this study should be viewed with caution due to the impending effect of confounding factors on its statistical results.
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