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

被引:1
作者
Li, Mingzhuo [1 ,2 ,3 ,4 ,5 ]
Liu, Fen [1 ,2 ]
Yang, Yang [1 ,2 ,3 ,4 ,5 ]
Lao, Jiahui [1 ,2 ,3 ,4 ,5 ]
Yin, Chaonan [1 ,2 ,3 ,4 ,5 ]
Wu, Yafei [6 ]
Yuan, Zhongshang [7 ,8 ]
Wei, Yongyue [9 ]
Tang, Fang [1 ,2 ,3 ,4 ,5 ,10 ]
机构
[1] Shandong First Med Univ, Affiliated Hosp 1, Shandong Inst Anesthesia & Resp Crit Med, Shandong Med & Hlth Key Lab Emergency Med,Dept Cri, Jingshi Rd 16766, Jinan, Peoples R China
[2] Shandong Prov Qianfoshan Hosp, Jingshi Rd 16766, Jinan, Peoples R China
[3] Shandong First Med Univ, Affiliated Hosp 1, Ctr Big Data Res Hlth & Med, Jinan, Peoples R China
[4] Shandong Prov Qianfoshan Hosp, Jinan, Peoples R China
[5] Shandong Data Open Innovat Applicat Lab, Jinan, Peoples R China
[6] Chinese Acad Med Sci & Peking Union Med Coll, Inst Pathogen Biol, Beijing, Peoples R China
[7] Shandong Univ, Cheeloo Coll Med, Sch Publ Hlth, Dept Biostat, Jinan, Peoples R China
[8] Shandong Univ, Inst Med Dataol, Cheeloo Coll Med, Jinan, Peoples R China
[9] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Biostat, Nanjing, Peoples R China
[10] Shandong Univ, Shandong Prov Qianfoshan Hosp, Cheeloo Coll Med, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
Trajectory; Respiratory rate-oxygenation; 28-day mortality; Critical care; Precision medicine; MECHANICAL VENTILATION; RISK; PNEUMONIA;
D O I
10.1186/s12931-023-02643-8
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
BackgroundThe 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.MethodsBased 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.ResultsA 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).ConclusionsFor 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.
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页数:12
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