The Division of Clinical Data Analytics and Decision Support, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, United States of America.
University of Arizona College of Medicine-Phoenix, Phoenix, AZ, United States of America.
PLoS One. 2022 Jul 6;17(7):e0270193. doi: 10.1371/journal.pone.0270193. eCollection 2022.
An accurate system to predict mortality in patients requiring intubation for COVID-19 could help to inform consent, frame family expectations and assist end-of-life decisions.
To develop and validate a mortality prediction system called C-TIME (COVID-19 Time of Intubation Mortality Evaluation) using variables available before intubation, determine its discriminant accuracy, and compare it to acute physiology and chronic health evaluation (APACHE IVa) and sequential organ failure assessment (SOFA).
A retrospective cohort was set in 18 medical-surgical ICUs, enrolling consecutive adults, positive by SARS-CoV 2 RNA by reverse transcriptase polymerase chain reaction or positive rapid antigen test, and undergoing endotracheal intubation. All were followed until hospital discharge or death. The combined outcome was hospital mortality or terminal extubation with hospice discharge. Twenty-five clinical and laboratory variables available 48 hours prior to intubation were entered into multiple logistic regression (MLR) and the resulting model was used to predict mortality of validation cohort patients. Area under the receiver operating curve (AUROC) was calculated for C-TIME, APACHE IVa and SOFA.
The median age of the 2,440 study patients was 66 years; 61.6 percent were men, and 50.5 percent were Hispanic, Native American or African American. Age, gender, COPD, minimum mean arterial pressure, Glasgow Coma scale score, and PaO2/FiO2 ratio, maximum creatinine and bilirubin, receiving factor Xa inhibitors, days receiving non-invasive respiratory support and days receiving corticosteroids prior to intubation were significantly associated with the outcome variable. The validation cohort comprised 1,179 patients. C-TIME had the highest AUROC of 0.75 (95%CI 0.72-0.79), vs 0.67 (0.64-0.71) and 0.59 (0.55-0.62) for APACHE and SOFA, respectively (Chi2 P<0.0001).
C-TIME is the only mortality prediction score specifically developed and validated for COVID-19 patients who require mechanical ventilation. It has acceptable discriminant accuracy and goodness-of-fit to assist decision-making just prior to intubation. The C-TIME mortality prediction calculator can be freely accessed on-line at https://phoenixmed.arizona.edu/ctime.
开发并验证一种名为 C-TIME(COVID-19 气管插管死亡率评估)的死亡率预测系统,该系统使用气管插管前可用的变量,确定其判别准确性,并与急性生理学和慢性健康评估(APACHE IVa)和序贯器官衰竭评估(SOFA)进行比较。
使用气管插管前 48 小时内可用的 25 个临床和实验室变量进行多变量逻辑回归(MLR),并将所得模型用于预测验证队列患者的死亡率。计算 C-TIME、APACHE IVa 和 SOFA 的接收者操作特征曲线(AUROC)下面积。
回顾性队列研究在 18 个内科和外科重症监护病房中进行,纳入连续的成年人,通过逆转录聚合酶链反应或快速抗原检测检测到 SARS-CoV-2 RNA 阳性,并进行气管插管。所有患者均随访至出院或死亡。复合结局为住院死亡率或临终拔管伴临终关怀出院。将气管插管前 48 小时内获得的 25 个临床和实验室变量输入多变量逻辑回归(MLR),并将所得模型用于预测验证队列患者的死亡率。计算 C-TIME、APACHE IVa 和 SOFA 的接收者操作特征曲线(AUROC)下面积。
2440 例研究患者的中位年龄为 66 岁;61.6%为男性,50.5%为西班牙裔、美洲原住民或非裔美国人。年龄、性别、COPD、最低平均动脉压、格拉斯哥昏迷评分和 PaO2/FiO2 比值、最大肌酐和胆红素、接受 Xa 因子抑制剂、接受无创呼吸支持的天数和接受皮质类固醇的天数与结局变量显著相关。验证队列包括 1179 例患者。C-TIME 的 AUROC 最高为 0.75(95%CI 0.72-0.79),APACHE 和 SOFA 分别为 0.67(0.64-0.71)和 0.59(0.55-0.62)(Chi2 P<0.0001)。
C-TIME 是专门为需要机械通气的 COVID-19 患者开发和验证的唯一死亡率预测评分。它具有可接受的判别准确性和拟合优度,可在气管插管前帮助决策。C-TIME 死亡率预测计算器可在 https://phoenixmed.arizona.edu/ctime 上免费在线访问。