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[采用多重逻辑回归模型分析影响ICU患者预后的因素:对连续12年的1299例患者进行的回顾性队列研究]

[Analysis of factors affecting the prognosis of ICU patients by multiple logistic regression model: a retrospective cohort study of 1 299 patients in 12 consecutive years].

作者信息

Liang Jianfeng, Li Zhiyong, Zhang Yan, Zhang Wei, Dong Haishan, Zhang Yun, Xu Chang, Gao Maolong

机构信息

Department of Intensive Care Unit, Beijing Geriatric Hospital, Beijing 100095, China (Liang JF, Li ZY, Zhang Y, Zhang W, Dong HS, Zhang Y, Xu C); Geriatrics Clinical and Rehabilitation Institute, Beijing Geriatric Hospital, Beijing 100095, China (Gao ML). Corresponding author: Gao Maolong, Email:

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2017 Jul;29(7):602-607. doi: 10.3760/cma.j.issn.2095-4352.2017.07.006.

Abstract

OBJECTIVE

To explore the prognostic factors of intensive care unit (ICU) patients.

METHODS

A retrospective cohort study was conducted. The clinical data of patients admitted to ICU of Beijing Geriatric Hospital from January 2005 to December 2016 were collected. According to the prognosis, the patients were divided into death group and survival group, and the mortality trend with time and age was observed. Survival and death were treated as dependent variables, while the gender, age, reason of ICU admission, acute physiology and chronic health evaluation II (APACHE II) score, whether undergoing invasive mechanical ventilation (MV), invasive MV reason, duration of invasive MV, whether successful weaning, whether ICU nosocomial infection, hospital acquired pneumonia (HAP), central line-associated bloodstream infection (CLABSI), acute kidney injury (AKI) occurred, whether undergoing continuous blood purification (CBP), whether septic shock occurred, whether undergoing invasive hemodynamic monitoring or blood transfusion and length of ICU stay were used as the independent variables. First, the clinical data was analyzed by univariate analysis. Second, the independent variables influencing the dependent variable were analyzed by logistic regression analysis to screen out prognostic factors of ICU patients.

RESULTS

During the study period, 1 325 patients were treated, 26 patients with missing data, 1 299 patients in final group, 865 patients in survival group, and 434 in death group. The proportion of men in the patients was larger (67.7%), and the age span was larger (16-105 years old). The mortality rate in different years showed no significant difference (χ = 16.712, P = 0.117), and with the increase of age, the mortality rate of ICU showed an upward trend (χ = 16.399, P = 0.022). The univariate analysis showed that ICU deaths were unrelated to gender, but associated with age, APACHE II score, invasive MV, invasive MV reason, duration of invasive MV, successful weaning, ICU nosocomial infection, HAP, CLABSI, AKI, septic shock, whether CBP or invasive hemodynamic monitoring, blood transfusion, the reason of ICU admission and the length of ICU stay (all P < 0.05). The relevant factors with statistical difference found in univariate analysis were analyzed in logistic regression analysis, which showed that whether successful weaning [odds ratio (OR) = 0.016, 95% confidence interval (95%CI) = 0.010-0.025], and whether AKI (OR = 3.917, 95%CI = 2.331-6.582) or septic shock occurred (OR = 2.808, 95%CI = 1.604-4.915) were the dependent variables of death or survival (all P = 0.000). Regression coefficient (β value) of successful weaning was -4.155, suggesting that unsuccessful weaning patients were likely to die. The β value of AKI and septic shock was 1.365 and 1.033, suggesting that the patients with AKI or septic shock were more likely to die.

CONCLUSIONS

Whether the success of weaning, whether the occurrence of AKI or septic shock are independent prognostic factors for the prognosis of ICU patients. Measures for the prevention of the above three aspects could improve the prognosis of ICU patients.

摘要

目的

探讨重症监护病房(ICU)患者的预后因素。

方法

进行一项回顾性队列研究。收集2005年1月至2016年12月在北京老年医院ICU住院患者的临床资料。根据预后情况将患者分为死亡组和存活组,观察死亡率随时间和年龄的变化趋势。将生存和死亡作为因变量,而将性别、年龄、入住ICU的原因、急性生理与慢性健康状况评分系统II(APACHE II)评分、是否接受有创机械通气(MV)、有创MV的原因、有创MV的持续时间、是否成功脱机、是否发生ICU医院感染、医院获得性肺炎(HAP)、中心静脉导管相关血流感染(CLABSI)、急性肾损伤(AKI)、是否接受持续血液净化(CBP)、是否发生感染性休克、是否接受有创血流动力学监测或输血以及ICU住院时间作为自变量。首先,通过单因素分析对临床资料进行分析。其次,采用逻辑回归分析对影响因变量的自变量进行分析,以筛选出ICU患者的预后因素。

结果

研究期间,共治疗1325例患者,26例数据缺失,最终纳入1299例患者,存活组865例,死亡组434例。患者中男性比例较大(67.7%),年龄跨度较大(16~105岁)。不同年份的死亡率差异无统计学意义(χ² = 16.712,P = 0.117),随着年龄的增加,ICU死亡率呈上升趋势(χ² = 16.399,P = 0.022)。单因素分析显示,ICU死亡与性别无关,但与年龄、APACHE II评分、有创MV、有创MV原因、有创MV持续时间、成功脱机、ICU医院感染、HAP、CLABSI、AKI、感染性休克、是否进行CBP或有创血流动力学监测、输血、入住ICU的原因以及ICU住院时间有关(均P < 0.05)。对单因素分析中发现有统计学差异的相关因素进行逻辑回归分析,结果显示是否成功脱机[比值比(OR) = 0.016,95%置信区间(95%CI) = 0.010 - 0.025],以及是否发生AKI(OR = 3.917,95%CI = 2.331 - 6.582)或感染性休克(OR = 2.808,95%CI = 1.604 - 4.915)是死亡或存活的因变量(均P = 0.000)。成功脱机的回归系数(β值)为 - 4.155,表明脱机不成功的患者更易死亡。AKI和感染性休克的β值分别为1.365和1.033,表明发生AKI或感染性休克的患者更易死亡。

结论

脱机是否成功、是否发生AKI或感染性休克是ICU患者预后的独立预后因素。针对上述三个方面采取预防措施可改善ICU患者的预后。

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