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识别生命体征轨迹预测急性呼吸窘迫综合征危重症老年患者 28 天死亡率。

Identifying vital sign trajectories to predict 28-day mortality of critically ill elderly patients with acute respiratory distress syndrome.

机构信息

Department of Critical Care Medicine, Shandong Medicine and Health Key Laboratory of Emergency Medicine, Shandong Institute of Anesthesia and Respiratory Critical Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jingshi Road 16766, Jinan, China.

Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.

出版信息

Respir Res. 2024 Jan 4;25(1):8. doi: 10.1186/s12931-023-02643-8.

Abstract

BACKGROUND

The mortality rate of acute respiratory distress syndrome (ARDS) increases with age (≥ 65 years old) in critically ill patients, and it is necessary to prevent mortality in elderly patients with ARDS in the intensive care unit (ICU). Among the potential risk factors, dynamic subphenotypes of respiratory rate (RR), heart rate (HR), and respiratory rate-oxygenation (ROX) and their associations with 28-day mortality have not been clearly explored.

METHODS

Based on the eICU Collaborative Research Database (eICU-CRD), this study used a group-based trajectory model to identify longitudinal subphenotypes of RR, HR, and ROX during the first 72 h of ICU stays. A logistic model was used to evaluate the associations of trajectories with 28-day mortality considering the group with the lowest rate of mortality as a reference. Restricted cubic spline was used to quantify linear and nonlinear effects of static RR-related factors during the first 72 h of ICU stays on 28-day mortality. Receiver operating characteristic (ROC) curves were used to assess the prediction models with the Delong test.

RESULTS

A total of 938 critically ill elderly patients with ARDS were involved with five and 5 trajectories of RR and HR, respectively. A total of 204 patients fit 4 ROX trajectories. In the subphenotypes of RR, when compared with group 4, the odds ratios (ORs) and 95% confidence intervals (CIs) of group 3 were 2.74 (1.48-5.07) (P = 0.001). Regarding the HR subphenotypes, in comparison to group 1, the ORs and 95% CIs were 2.20 (1.19-4.08) (P = 0.012) for group 2, 2.70 (1.40-5.23) (P = 0.003) for group 3, 2.16 (1.04-4.49) (P = 0.040) for group 5. Low last ROX had a higher mortality risk (P linear = 0.023, P nonlinear = 0.010). Trajectories of RR and HR improved the predictive ability for 28-day mortality (AUC increased by 2.5%, P = 0.020).

CONCLUSIONS

For RR and HR, longitudinal subphenotypes are risk factors for 28-day mortality and have additional predictive enrichment, whereas the last ROX during the first 72 h of ICU stays is associated with 28-day mortality. These findings indicate that maintaining the health dynamic subphenotypes of RR and HR in the ICU and elevating static ROX after initial critical care may have potentially beneficial effects on prognosis in critically ill elderly patients with ARDS.

摘要

背景

急性呼吸窘迫综合征(ARDS)的病死率随年龄(≥65 岁)增加,重症患者需预防老年 ARDS 患者的病死率。在潜在的风险因素中,呼吸频率(RR)、心率(HR)和 RR-氧合指数(ROX)的动态亚表型及其与 28 天病死率的相关性尚未明确。

方法

本研究基于 eICU 协作研究数据库(eICU-CRD),采用基于群组的轨迹模型,识别入住 ICU 最初 72 h 内 RR、HR 和 ROX 的纵向亚表型。采用 logistic 模型,以病死率最低的组为参照,评估轨迹与 28 天病死率的相关性。采用受限立方样条分析 ICU 最初 72 h 内 RR 相关静态因素与 28 天病死率的线性和非线性关系。采用 Delong 检验评估受试者工作特征(ROC)曲线的预测模型。

结果

共纳入 938 例 ARDS 老年危重症患者,RR 和 HR 分别存在 5 种和 5 种轨迹,204 例患者符合 4 种 ROX 轨迹。RR 亚表型中,与组 4 相比,组 3 的比值比(OR)和 95%置信区间(CI)为 2.74(1.485.07)(P=0.001)。HR 亚表型中,与组 1 相比,组 2 的 OR 和 95%CI 为 2.20(1.194.08)(P=0.012),组 3 为 2.70(1.405.23)(P=0.003),组 5 为 2.16(1.044.49)(P=0.040)。低 ROX 末期水平与更高的病死率相关(P 线性=0.023,P 非线性=0.010)。RR 和 HR 轨迹可提高 28 天病死率的预测能力(AUC 增加 2.5%,P=0.020)。

结论

RR 和 HR 的纵向亚表型是 28 天病死率的危险因素,且具有额外的预测增益,而 ICU 最初 72 h 内的 ROX 末期水平与 28 天病死率相关。这些发现表明,维持 ICU 中 RR 和 HR 的健康动态亚表型,并提高初始重症监护后 ROX 的静态水平,可能对 ARDS 老年危重症患者的预后有潜在的有益作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaf7/10765902/de275cbd0e41/12931_2023_2643_Fig1_HTML.jpg

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