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[重症监护预警平台对内科病房转入重症监护病房患者临床预后的影响:一项真实世界队列研究]

[Impact of critical care warning platform on the clinical prognosis of patients transferred from internal medical ward to intensive care unit: a real-world cohort study].

作者信息

Wu Changde, Chen Shanshan, Huang Liwei, Liu Songqiao, Zhang Yuyan, Yang Yi

机构信息

Nanjing Medical University, Nanjing 211166, Jiangsu, China.

Jiangsu Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing 210009, Jiangsu, China.

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2025 Apr;37(4):381-385. doi: 10.3760/cma.j.cn121430-20241212-00591.

DOI:10.3760/cma.j.cn121430-20241212-00591
PMID:40814712
Abstract

OBJECTIVE

To evaluate the impact of critical care warning platform (CWP) on clinical outcomes of patients transferred from internal medical ward to intensive care unit (ICU) based on real-world data.

METHODS

A retrospective cohort study was conducted. The patients transferred from internal medical ward to ICU of Zhongda Hospital, Southeast University, between January 2022 and October 2024, were enrolled. They were divided into critical care warning group and conventional treatment group based on whether they were connected to the CWP. The patients in the critical care warning group were connected to the CWP, which collected real-time vital signs and treatment data. The platform automatically calculated severity scores, generated individualized risk assessments, and triggered warning alerts, allowing clinicians to adjust treatment plans accordingly. The patients in the conventional treatment group were not connected to the CWP and relied on conventional clinical judgment and nursing measures for treatment management. Baseline characteristics [gender, age, body mass index (BMI), admission type, severity score of illness, underlying diseases, and disease type at ICU admission], primary clinical outcome (in-hospital mortality), and secondary clinical outcomes [ICU mortality, length of ICU stay, total length of hospital stay, and mechanical ventilation and continuous renal replacement therapy (CRRT) status] were collected. Multivariate Logistic regression was used to analyze the impact of CWP on in-hospital death, and subgroup analyses were performed based on different patient characteristics.

RESULTS

A total of 1 281 patients were enrolled, with 768 in the critical care warning group and 513 in the conventional treatment group. Compared with the conventional treatment group, the proportion of patients in the critical care warning group with underlying diseases of diabetes and malignancy and transferred to ICU due to sepsis was lowered, however, there were no statistically significant differences in other baseline characteristics between the two groups. Regarding the primary clinical outcome, the in-hospital mortality in the critical care warning group was significantly lower than that in the conventional treatment group [17.6% (135/768) vs. 25.7% (132/513), P < 0.01]. For secondary clinical outcomes, compared with the conventional treatment group, the patients in the critical care warning group had significantly fewer days of mechanical ventilation within 28 days [days: 2 (1, 6) vs. 2 (1, 8), P < 0.05], significantly shorter length of ICU stay [days: 3 (2, 8) vs. 4 (2, 10), P < 0.01], and significantly lower ICU mortality [15.1% (116/768) vs. 21.4% (110/513), P < 0.01]. Multivariate Logistic regression analysis showed that, after adjusting for age and underlying diseases, the use of CWP was significantly associated with a reduction of in-hospital mortality among patients transferred from internal medical ward to ICU [odds ratio (OR) = 0.670, 95% confidence interval (95%CI) was 0.502-0.894, P = 0.006]. Further subgroup analysis revealed that, among patients transferred to ICU due to sepsis, the use of CWP significantly reduced in-hospital mortality (OR = 0.514, 95%CI was 0.367-0.722, P < 0.001). In patients aged ≥ 70 years old (OR = 0.587, 95%CI was 0.415-0.831, P = 0.003) and those with underlying diseases of malignancy (OR = 0.124, 95%CI was 0.046-0.330, P < 0.001), CWP also showed significant protective effects on in-hospital prognosis.

CONCLUSION

The use of CWP is significantly associated with a reduction in in-hospital mortality among patients transferred from internal medical ward to ICU, demonstrating its potential in assessing the deterioration of hospitalized patients.

摘要

目的

基于真实世界数据,评估重症监护预警平台(CWP)对从内科病房转入重症监护病房(ICU)患者临床结局的影响。

方法

进行一项回顾性队列研究。纳入2022年1月至2024年10月间从东南大学附属中大医院内科病房转入ICU的患者。根据是否连接CWP将其分为重症监护预警组和传统治疗组。重症监护预警组患者连接CWP,该平台收集实时生命体征和治疗数据。平台自动计算严重程度评分,生成个性化风险评估,并触发预警警报,使临床医生能够据此调整治疗方案。传统治疗组患者未连接CWP,依靠传统临床判断和护理措施进行治疗管理。收集基线特征[性别、年龄、体重指数(BMI)、入院类型、疾病严重程度评分、基础疾病以及ICU入院时的疾病类型]、主要临床结局(院内死亡率)和次要临床结局[ICU死亡率、ICU住院时长、总住院时长以及机械通气和持续肾脏替代治疗(CRRT)情况]。采用多因素Logistic回归分析CWP对院内死亡的影响,并根据不同患者特征进行亚组分析。

结果

共纳入1281例患者,其中重症监护预警组768例,传统治疗组513例。与传统治疗组相比,重症监护预警组中患有糖尿病和恶性肿瘤等基础疾病且因脓毒症转入ICU的患者比例降低,然而,两组间其他基线特征无统计学显著差异。关于主要临床结局,重症监护预警组的院内死亡率显著低于传统治疗组[17.6%(135/768) vs. 25.7%(132/513),P<0.01]。对于次要临床结局,与传统治疗组相比,重症监护预警组患者在28天内的机械通气天数显著减少[天数:2(1,6) vs. 2(1,8),P<0.05],ICU住院时长显著缩短[天数:3(2,8) vs. 4(2,10),P<0.01],且ICU死亡率显著降低[15.1%(116/768) vs. 21.4%(110/513),P<0.01]。多因素Logistic回归分析显示,在调整年龄和基础疾病后,使用CWP与从内科病房转入ICU患者的院内死亡率降低显著相关[比值比(OR) = 0.670,95%置信区间(95%CI)为0.502 - 0.894,P = 0.006]。进一步亚组分析显示,在因脓毒症转入ICU的患者中,使用CWP显著降低了院内死亡率(OR = 0.514,95%CI为0.367 - 0.722,P<0.001)。在年龄≥70岁的患者中(OR = 0.587,95%CI为0.415 - 0.831,P = 0.003)以及患有恶性肿瘤基础疾病的患者中(OR = 0.124,95%CI为0.046 - 0.330,P<0.001),CWP对院内预后也显示出显著的保护作用。

结论

使用CWP与从内科病房转入ICU患者的院内死亡率降低显著相关,表明其在评估住院患者病情恶化方面的潜力。

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