Jayvee Rho-An D Descalsota, Abdul Walli R Cana, Inofel I Chin, Jessie F Orcasitas
{"title":"使用高炎症综合征的新标准识别COVID-19确诊患者死亡风险升高和需要机械通气:一项回顾性、单中心、验证研究","authors":"Jayvee Rho-An D Descalsota, Abdul Walli R Cana, Inofel I Chin, Jessie F Orcasitas","doi":"10.47895/amp.vi0.9370","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.</p><p><strong>Methods: </strong>This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.</p><p><strong>Results: </strong>The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cut-off cHIS scores.</p><p><strong>Conclusion: </strong>Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.</p>","PeriodicalId":6994,"journal":{"name":"Acta Medica Philippina","volume":"59 3","pages":"104-115"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936773/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identifying COVID-19 Confirmed Patients at Elevated Risk for Mortality and Need of Mechanical Ventilation Using a Novel Criteria for Hyperinflammatory Syndrome: A Retrospective Cohort, Single-center, Validation Study.\",\"authors\":\"Jayvee Rho-An D Descalsota, Abdul Walli R Cana, Inofel I Chin, Jessie F Orcasitas\",\"doi\":\"10.47895/amp.vi0.9370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objectives: </strong>A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.</p><p><strong>Methods: </strong>This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.</p><p><strong>Results: </strong>The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cut-off cHIS scores.</p><p><strong>Conclusion: </strong>Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.</p>\",\"PeriodicalId\":6994,\"journal\":{\"name\":\"Acta Medica Philippina\",\"volume\":\"59 3\",\"pages\":\"104-115\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936773/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Medica Philippina\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47895/amp.vi0.9370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Medica Philippina","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47895/amp.vi0.9370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的:越来越多的证据表明,免疫反应失调与COVID-19感染中出现的致命性肺炎病例有关。我们的目的是在当地人群中验证covid -19相关高炎症综合征(cHIS)评分,这是一种用于识别不良结局风险的新型临床工具,并研究入院时的cHIS评分与死亡风险和机械通气需求的关系。方法:本回顾性队列研究分析了2021年1月至12月在菲律宾达沃市一家三级医院入院的1881例COVID-19患者的社会人口学、临床和实验室数据。我们计算cHIS评分,由入院时的6项临床和实验室标准组成,并使用多变量logistic回归来确定死亡风险和机械通气需求。结果:入院时的cHIS评分,无论临界值如何,都是死亡率(OR 0.979 [99% CI 0.894-1.064])和机械通气需求(OR 0.586 [99% CI 0.4975-0.6745])的重要预测因子。使用约登指数(Youden Index), cHIS分值为3分或3分以上是更好的死亡率预测指标(敏感性为88.59%;特异性为71.72%),截止评分为2分或更高能更好地预测机械通气需求(敏感性为84.02%;特异性,70.82%)高于其他cHIS评分截止值。结论:COVID-19患者入院时cHIS评分与死亡风险和机械通气需求相关。临界值为3分和2分分别具有预测死亡风险和机械通气需求的最佳敏感性和特异性。
Identifying COVID-19 Confirmed Patients at Elevated Risk for Mortality and Need of Mechanical Ventilation Using a Novel Criteria for Hyperinflammatory Syndrome: A Retrospective Cohort, Single-center, Validation Study.
Background and objectives: A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.
Methods: This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.
Results: The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cut-off cHIS scores.
Conclusion: Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.