{"title":"生化和炎症标志物在评估印度人群COVID-19严重程度中的作用:一项观察性研究","authors":"Reema Kapoor Mehra, Prakriti Gupta, Navpreet Singh","doi":"10.34172/jrcm.2022.010","DOIUrl":null,"url":null,"abstract":"Introduction: Different laboratory parameters get altered in coronavirus disease 2019 (COVID-19); therefore, the changes of these parameters could help recognize the patients with severe disease. This study was conducted to achieve a comprehensive biochemical and inflammatory profile of COVID-19 among the Indian population. Methods: The study consisted of 730 patients admitted to Jaya Arogya Hospital, Gwalior, with COVID-19 from August 2020 to December 2020. The patients were divided into mild disease group (MDG) (n=533) and severe disease group (SDG) (n=197) depending on certain criteria, and their biochemical and inflammatory markers were collected. Data were analyzed using SPSS version 25. Results: Statistically significant rise in blood urea (P=0.011), serum creatinine (P=0.008), serum bilirubin (P=0.012), interleukin 6 (IL-6) (P<0.001), and troponin I (P<0.001) was observed in SDG as compared to MDG. Serum electrolytes (sodium and potassium) and serum protein (total protein and albumin) showed a significant fall in SDG as compared to MDG (P<0.001 for electrolytes and P=0.023 for proteins). The area under the receiver operating characteristic curve (AUROC) showed a high diagnostic value of IL-6. Conclusion: Patients with severe COVID-19 showed a high prevalence of hyperbilirubinemia, hypoproteinemia, electrolyte imbalance, and raised inflammatory markers (IL-6, troponin I, and procalcitonin). Results showed their effectiveness in assessing disease severity and predicting outcomes in patients with COVID-19.","PeriodicalId":17071,"journal":{"name":"Journal of Research in Clinical Medicine","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of biochemical and inflammatory markers in assessing COVID-19 severity among the Indian population: An observational study\",\"authors\":\"Reema Kapoor Mehra, Prakriti Gupta, Navpreet Singh\",\"doi\":\"10.34172/jrcm.2022.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Different laboratory parameters get altered in coronavirus disease 2019 (COVID-19); therefore, the changes of these parameters could help recognize the patients with severe disease. This study was conducted to achieve a comprehensive biochemical and inflammatory profile of COVID-19 among the Indian population. Methods: The study consisted of 730 patients admitted to Jaya Arogya Hospital, Gwalior, with COVID-19 from August 2020 to December 2020. The patients were divided into mild disease group (MDG) (n=533) and severe disease group (SDG) (n=197) depending on certain criteria, and their biochemical and inflammatory markers were collected. Data were analyzed using SPSS version 25. Results: Statistically significant rise in blood urea (P=0.011), serum creatinine (P=0.008), serum bilirubin (P=0.012), interleukin 6 (IL-6) (P<0.001), and troponin I (P<0.001) was observed in SDG as compared to MDG. Serum electrolytes (sodium and potassium) and serum protein (total protein and albumin) showed a significant fall in SDG as compared to MDG (P<0.001 for electrolytes and P=0.023 for proteins). The area under the receiver operating characteristic curve (AUROC) showed a high diagnostic value of IL-6. Conclusion: Patients with severe COVID-19 showed a high prevalence of hyperbilirubinemia, hypoproteinemia, electrolyte imbalance, and raised inflammatory markers (IL-6, troponin I, and procalcitonin). Results showed their effectiveness in assessing disease severity and predicting outcomes in patients with COVID-19.\",\"PeriodicalId\":17071,\"journal\":{\"name\":\"Journal of Research in Clinical Medicine\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Research in Clinical Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34172/jrcm.2022.010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research in Clinical Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/jrcm.2022.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
导言:2019冠状病毒病(COVID-19)中不同实验室参数的改变;因此,这些参数的变化有助于识别病情严重的患者。本研究旨在获得印度人群中COVID-19的全面生化和炎症概况。方法:研究对象为2020年8月至2020年12月在瓜廖尔Jaya Arogya医院收治的730例COVID-19患者。将患者按一定标准分为轻症组(MDG) (n=533)和重症组(SDG) (n=197),采集其生化及炎症指标。数据分析采用SPSS version 25。结果:与MDG相比,SDG组血尿素(P=0.011)、血清肌酐(P=0.008)、血清胆红素(P=0.012)、白细胞介素6 (IL-6) (P<0.001)、肌钙蛋白I (P<0.001)均有统计学意义升高。与MDG相比,血清电解质(钠和钾)和血清蛋白(总蛋白和白蛋白)的SDG显著下降(电解质P<0.001,蛋白质P=0.023)。受试者工作特征曲线下面积(AUROC)显示IL-6具有较高的诊断价值。结论:重症COVID-19患者高胆红素血症、低蛋白血症、电解质失衡发生率高,炎症标志物(IL-6、肌钙蛋白I、降钙素原)升高。结果显示其在评估COVID-19患者疾病严重程度和预测预后方面的有效性。
Role of biochemical and inflammatory markers in assessing COVID-19 severity among the Indian population: An observational study
Introduction: Different laboratory parameters get altered in coronavirus disease 2019 (COVID-19); therefore, the changes of these parameters could help recognize the patients with severe disease. This study was conducted to achieve a comprehensive biochemical and inflammatory profile of COVID-19 among the Indian population. Methods: The study consisted of 730 patients admitted to Jaya Arogya Hospital, Gwalior, with COVID-19 from August 2020 to December 2020. The patients were divided into mild disease group (MDG) (n=533) and severe disease group (SDG) (n=197) depending on certain criteria, and their biochemical and inflammatory markers were collected. Data were analyzed using SPSS version 25. Results: Statistically significant rise in blood urea (P=0.011), serum creatinine (P=0.008), serum bilirubin (P=0.012), interleukin 6 (IL-6) (P<0.001), and troponin I (P<0.001) was observed in SDG as compared to MDG. Serum electrolytes (sodium and potassium) and serum protein (total protein and albumin) showed a significant fall in SDG as compared to MDG (P<0.001 for electrolytes and P=0.023 for proteins). The area under the receiver operating characteristic curve (AUROC) showed a high diagnostic value of IL-6. Conclusion: Patients with severe COVID-19 showed a high prevalence of hyperbilirubinemia, hypoproteinemia, electrolyte imbalance, and raised inflammatory markers (IL-6, troponin I, and procalcitonin). Results showed their effectiveness in assessing disease severity and predicting outcomes in patients with COVID-19.