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重症监护病房临床轨迹和结局的多州建模:对 COVID-19 重症患者急性肾损伤的概念验证评估

Multistate Modeling of Clinical Trajectories and Outcomes in the ICU: A Proof-of-Concept Evaluation of Acute Kidney Injury Among Critically Ill Patients With COVID-19.

作者信息

Lyons Patrick G, Mody Aaloke, Bewley Alice F, Schoer Morgan, Neelam Raju Bharat, Geng Elvin, Payne Philip R O, Sinha Pratik, Vijayan Anitha

机构信息

Department of Medicine, Washington University School of Medicine, St. Louis, MO.

Healthcare Innovation Lab, BJC HealthCare, St. Louis, MO.

出版信息

Crit Care Explor. 2022 Dec 1;4(12):e0784. doi: 10.1097/CCE.0000000000000784. eCollection 2022 Dec.

Abstract

UNLABELLED

Multistate models yield high-fidelity analyses of the dynamic state transition and temporal dimensions of a clinical condition's natural history, offering superiority over aggregate modeling techniques for addressing these types of problems.

OBJECTIVES

To demonstrate the utility of these models in critical care, we examined acute kidney injury (AKI) development, progression, and outcomes in COVID-19 critical illness through multistate analyses.

DESIGN SETTING AND PARTICIPANTS

Retrospective cohort study at an urban tertiary-care academic hospital in the United States. All patients greater than or equal to 18 years in an ICU with COVID-19 in 2020, excluding patients with preexisting end-stage renal disease.

MAIN OUTCOMES AND MEASURES

Using electronic health record data, we determined AKI presence/stage in discrete 12-hour time windows and fit multistate models to determine longitudinal transitions and outcomes.

RESULTS

Of 367 encounters, 241 (66%) experienced AKI (maximal stages: 88 stage-1, 49 stage-2, 104 stage-3 AKI [51 received renal replacement therapy (RRT), 53 did not]). Patients receiving RRT overwhelmingly received invasive mechanical ventilation (IMV) ( = 60, 95%) compared with the AKI-without-RRT ( = 98, 53%) and no-AKI groups ( = 39, 32%; < 0.001), with similar mortality patterns (RRT: = 36, 57%; AKI: = 74, 40%; non-AKI: = 23, 19%; < 0.001). After 24 hours in the ICU, almost half the cohort had AKI (44.9%; 95% CI, 41.6-48.2%). At 7 days after stage-1 AKI, 74.0% (63.6-84.4) were AKI-free or discharged. By contrast, fewer patients experiencing stage-3 AKI were recovered (30.0% [24.1-35.8%]) or discharged (7.9% [5.2-10.7%]) after 7 days. Early AKI occurred with similar frequency in patients receiving and not receiving IMV: after 24 hours in the ICU, 20.9% of patients (18.3-23.6%) had AKI and IMV, while 23.4% (20.6-26.2%) had AKI without IMV.

CONCLUSIONS AND RELEVANCE

In a multistate analysis of critically ill patients with COVID-19, AKI occurred early and heterogeneously in the course of critical illness. Multistate methods are useful and underused in ICU care delivery science as tools for understanding trajectories, prognoses, and resource needs.

摘要

未标注

多状态模型能够对临床疾病自然史的动态状态转变和时间维度进行高保真分析,在解决这类问题方面比总体建模技术更具优势。

目的

为证明这些模型在重症监护中的实用性,我们通过多状态分析研究了新型冠状病毒肺炎(COVID-19)危重症患者急性肾损伤(AKI)的发生、进展及结局。

设计、设置与参与者:在美国一家城市三级学术医疗中心进行的回顾性队列研究。纳入2020年入住重症监护病房(ICU)且年龄大于或等于18岁的所有COVID-19患者,排除既往有终末期肾病的患者。

主要结局与指标

利用电子健康记录数据,我们在离散的12小时时间窗口内确定AKI的存在/分期,并拟合多状态模型以确定纵向转变和结局。

结果

在367例患者中,241例(66%)发生AKI(最大分期:88例为1期,49例为2期,104例为3期AKI[51例接受肾脏替代治疗(RRT),53例未接受])。接受RRT的患者绝大多数接受有创机械通气(IMV)(n = 60,95%),而未接受RRT的AKI患者(n = 98,53%)和无AKI患者(n = 39,32%)接受IMV的比例较低(P < 0.001),死亡率模式相似(RRT组:n = 36,57%;AKI组:n = 74,40%;非AKI组:n = 23,19%;P < 0.001)。入住ICU 后24小时,近一半队列发生AKI(44.9%;95%CI,41.6 - 48.2%)。在1期AKI发生后7天,74.0%(63.6 - 84.4)患者无AKI或出院。相比之下,3期AKI患者在7天后康复(30.0%[24.1 - 35.8%])或出院(7.9%[5.2 - 10.7%])的比例较低。接受和未接受IMV的患者早期AKI发生频率相似:入住ICU 后24小时,20.9%(18.3 - 23.6%)患者发生AKI且接受IMV,而23.4%(20.6 - 26.2%)患者发生AKI但未接受IMV。

结论与意义

在对COVID-19危重症患者的多状态分析中,AKI在危重症病程中早期发生且具有异质性。多状态方法作为理解疾病轨迹、预后和资源需求的工具,在ICU护理提供科学中有用但未得到充分利用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6219/9722556/e494fc44b346/cc9-4-e0784-g001.jpg

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