Singh Pratishtha, Warren Kayle, Adler Hannah, Mangano Andrew, Sansbury Jilian, Duff Richard
Internal Medicine, Grand Strand Medical Center, Myrtle Beach, USA.
Pulmonary and Critical Care Medicine, Grand Strand Medical Center, Myrtle Beach, USA.
Cureus. 2021 Mar 23;13(3):e14051. doi: 10.7759/cureus.14051.
Introduction Coronavirus disease 2019 (COVID-19) has emerged as a global pandemic that has placed an unprecedented burden on intensive care services worldwide. Identification of a reliable risk-stratification tool for COVID-19 patients is necessary for appropriate resource allocation, selection of clinical management pathways, and guidance of goals of care conversations with families and caregivers in the critical care setting. The Acute Physiologic Assessment and Chronic Health Evaluation (APACHE) II scoring system is one of several predictive models used to classify illness severity and estimate mortality risk on admission to the intensive care unit (ICU). Our retrospective study sought to evaluate the prognostic ability of the APACHE II score in COVID-19 patients according to endpoints of mortality and length of stay (LOS) as well as unfavorable clinical outcomes, including development of acute renal failure (ARF) requiring renal replacement therapy (RRT) and acute venous thromboembolic events (VTE). Methods This multicenter retrospective cohort study evaluated a randomized sample of 3,102 patients with confirmed COVID-19 disease admitted to the ICU from January 2020 to May 2020. A total of 395 patients with complete data points for appropriate APACHE II score calculation, absence of the preexisting comorbidities end-stage renal disease, and history of VTE were included. Linear and logistic regression models were employed to evaluate primary outcomes of mortality and LOS as well as secondary outcomes of VTE and ARF requiring continuous renal replacement therapy (CRRT) or hemodialysis (HD). Key results Among the 395 patients enrolled, total percent mortality and mean LOS were 37.0% and 12.92 days, respectively. Primary outcome analysis revealed a statistically significant increase in odds of mortality as well as in mean LOS with every additional point increase in APACHE II score from a baseline of zero. Specifically, for every point increase in the APACHE II score, odds of mortality increased by 12% (p value < 0.001), and average LOS increased by 0.2 days (p value < 0.001). In our secondary outcome analysis, 14.43% and 62.2% of the total sample population developed ARF requiring RRT and VTE, respectively. For every additional point increase in APACHE II score from a baseline of zero, odds of requiring CRRT or HD increased by 10% on average (95% CI (1.06, 1.15); p value < 0.001). Similarly, for every additional point increase in the APACHE II score from a baseline of zero, there was a corresponding increase in odds of VTE by 19% (95% CI (1.14, 1.24); p value < 0.001). Conclusions The APACHE II score is an effective predictive model of in-hospital mortality and unfavorable clinical outcomes, including prolonged LOS, ARF requiring CRRT or HD, and development of VTE. As therapeutic interventions for COVID-19 evolve, application of this risk-stratification tool may guide clinical management decisions in the critical care setting.
引言 2019 冠状病毒病(COVID-19)已演变成一场全球大流行,给全球的重症监护服务带来了前所未有的负担。识别一种可靠的 COVID-19 患者风险分层工具对于合理分配资源、选择临床管理途径以及在重症监护环境中指导与患者家属和护理人员的治疗目标沟通至关重要。急性生理与慢性健康状况评估(APACHE)II 评分系统是用于在重症监护病房(ICU)入院时对疾病严重程度进行分类并估计死亡风险的几种预测模型之一。我们的回顾性研究旨在根据死亡率、住院时间(LOS)以及不良临床结局,包括需要肾脏替代治疗(RRT)的急性肾衰竭(ARF)和急性静脉血栓栓塞事件(VTE),评估 APACHE II 评分对 COVID-19 患者的预后能力。
方法 这项多中心回顾性队列研究评估了 2020 年 1 月至 2020 年 5 月期间入住 ICU 的 3102 例确诊 COVID-19 疾病患者的随机样本。纳入了 395 例具有完整数据点以进行适当 APACHE II 评分计算、无预先存在的合并症(终末期肾病)和 VTE 病史的患者。采用线性和逻辑回归模型来评估死亡率和住院时间等主要结局以及 VTE 和需要持续肾脏替代治疗(CRRT)或血液透析(HD)的 ARF 等次要结局。
关键结果 在纳入的 395 例患者中,总死亡率和平均住院时间分别为 37.0%和 12.92 天。主要结局分析显示,从基线零分开始,APACHE II 评分每增加一分,死亡率的比值以及平均住院时间均有统计学显著增加。具体而言,APACHE II 评分每增加一分,死亡率比值增加 12%(p 值<0.001),平均住院时间增加 0.2 天(p 值<0.001)。在我们的次要结局分析中,分别有 14.43%和 62.2%的总样本人群发生了需要 RRT 的 ARF 和 VTE。从基线零分开始,APACHE II 评分每增加一分,需要 CRRT 或 HD 的几率平均增加 10%(95%置信区间(1.06,1.15);p 值<0.001)。同样,从基线零分开始,APACHE II 评分每增加一分,VTE 的几率相应增加 19%(95%置信区间(1.14,1.24);p 值<0.001)。
结论 APACHE II 评分是院内死亡率和不良临床结局的有效预测模型,这些不良临床结局包括住院时间延长、需要 CRRT 或 HD 的 ARF 以及 VTE 的发生。随着 COVID-19 治疗干预措施的不断发展,这种风险分层工具的应用可能会指导重症监护环境中的临床管理决策。