The Predictive Potential of Elevated Serum Inflammatory Markers in Determining the Need for Intubation in CoVID-19 Patients

IF 0.9 Q4 CRITICAL CARE MEDICINE
S. Windham, Kellen Hirsch, R. Peterson, David Douin, Lakshmi Chauhan, Lauren M Heery, Connor Fling, Nemanja Vukovic, F. Holguin, Shanta Zimmer, Kristine M. Erlandson
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引用次数: 1

Abstract

Abstract Introduction The predictive potential of demographics, clinical characteristics, and inflammatory markers at admission to determine future intubation needs of hospitalised CoVID-19 patients is unknown. The study aimed to determine the predictive potential of elevated serum inflammatory markers in determining the need for intubation in CoVID-19 Patients. Methods In a retrospective cohort study of hospitalised SARS-CoV2 positive patients, single and multivariable regression analyses were used to determine covariate effects on intubation odds, and a minimax concave penalty regularised logistic regression was used to build a predictive model. A second prospective independent cohort tested the model. Results Systemic inflammatory markers obtained at admission were higher in patients that required subsequent intubation, and adjusted odds of intubation increased for every standard deviation above the mean for c-reactive protein (CRP) OR:2.8 (95% CI 1.8-4.5, p<0.001) and lactate dehydrogenase OR:2.1 (95% CI 1.33.3, p=0.002). A predictive model incorporating C-reactive protein, lactate dehydrogenase, and diabetes status at the time of admission predicted intubation status with an area under the curve (AUC) of 0.78 with corresponding sensitivity of 86%, specificity of 63%. This predictive model achieved an AUC of 0.83, 91% sensitivity, and 41% specificity on the validation cohort. Conclusion In patients hospitalised with CoVID-19, elevated serum inflammatory markers measured within the first twenty-four hours of admission are associated with an increased need for intubation. Additionally, a model of C-reactive protein, lactate dehydrogenase, and the presence of diabetes may play a predictive role in determining the future need for intubation.
血清炎症标志物升高在确定新冠肺炎患者插管需求中的预测潜力
摘要简介人口统计学、临床特征和炎症标志物在确定新冠肺炎住院患者未来插管需求方面的预测潜力尚不清楚。该研究旨在确定血清炎症标志物升高在确定新冠肺炎患者插管需求方面的预测潜力。方法在一项针对严重急性呼吸系统综合征冠状病毒2型阳性住院患者的回顾性队列研究中,使用单变量和多变量回归分析来确定对插管几率的协变量影响,并使用最小-最大凹罚正则逻辑回归来建立预测模型。第二个前瞻性独立队列对该模型进行了测试。结果入院时获得的全身炎症标志物在需要后续插管的患者中更高,并且每超过c反应蛋白(CRP)OR:2.8(95%CI 1.8-4.5,p<0.001)和乳酸脱氢酶OR:2.1(95%CI 1.33.3,p=0.002)的平均值,插管的调整几率就会增加,乳酸脱氢酶和入院时的糖尿病状态预测插管状态,曲线下面积(AUC)为0.78,相应的灵敏度为86%,特异性为63%。该预测模型在验证队列中的AUC为0.83,敏感性为91%,特异性为41%。结论在新冠肺炎住院患者中,入院后24小时内血清炎症标志物升高与插管需求增加有关。此外,C反应蛋白、乳酸脱氢酶和糖尿病的存在的模型可能在决定未来插管需求方面发挥预测作用。
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来源期刊
Journal of Critical Care Medicine
Journal of Critical Care Medicine CRITICAL CARE MEDICINE-
CiteScore
2.00
自引率
9.10%
发文量
21
审稿时长
11 weeks
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