Oh Yeseul, Kang Yewon, Lee Kwangha
Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Pusan National University School of Medicine, Busan, Korea.
Department of Internal Medicine, VHS Medical Center, Busan, Korea.
Acute Crit Care. 2021 Feb;36(1):46-53. doi: 10.4266/acc.2020.00787. Epub 2021 Feb 17.
The aim of the present study was to develop a prognostic model using demographic characteristics, comorbidities, and clinical variables measured on day 4 of mechanical ventilation (MV) for patients with prolonged acute mechanical ventilation (PAMV; MV for >96 hours).
Data from 437 patients (70.9% male; median age, 68 years) were obtained over a period of 9 years. All patients were diagnosed with pneumonia. Binary logistic regression identified factors predicting mortality at 90 days after the start of MV. A PAMV prognosis score was calculating ß-coefficient values and assigning points to variables.
The overall 90-day mortality rate was 47.1%. Five factors (age ≥65 years, body mass index <18.5 kg/m2, hemato-oncologic diseases as comorbidities, requirement for vasopressors on day 4 of MV and requirement for neuromuscular blocking agents on day 4 of MV) were identified as prognostic indicators. Each factor was valued as +1 point, and used to develop a PAMV prognosis score. This score showed acceptable discrimination (area under the receiver operating characteristic curve of 0.695 for mortality, 95% confidence interval 0.650-0.738, p<0.001), and calibration (Hosmer-Lemeshow chi-square=6.331, with df 7 and p=0.502). The cutoff value for predicting mortality based on the maximum Youden index was ≤2 (sensitivity, 87.5%; specificity, 41.3%). For patients with PAMV scores ≤1, 2, 3 and ≥4, the 90-day mortality rates were 29.2%, 45.7%, 67.9%, and 90.9%, respectively (P<0.001).
Our study developed a PAMV prognosis score for predicting 90-day mortality. Further research is needed to validate the utility of this score.
本研究的目的是利用人口统计学特征、合并症以及机械通气(MV)第4天测量的临床变量,为延长急性机械通气(PAMV;MV时间>96小时)的患者开发一种预后模型。
在9年的时间里收集了437例患者(男性占70.9%;中位年龄68岁)的数据。所有患者均被诊断为肺炎。二元逻辑回归确定了预测MV开始后90天死亡率的因素。通过计算β系数值并为变量赋值来得出PAMV预后评分。
90天总死亡率为47.1%。五个因素(年龄≥65岁、体重指数<18.5kg/m²、合并血液肿瘤疾病、MV第4天需要血管升压药以及MV第4天需要神经肌肉阻滞剂)被确定为预后指标。每个因素赋值为+1分,并用于开发PAMV预后评分。该评分显示出可接受的区分度(用于死亡率的受试者工作特征曲线下面积为0.695,95%置信区间0.650 - 0.738,p<0.001)和校准度(Hosmer-Lemeshow卡方=6.331,自由度为7,p = 0.502)。基于最大约登指数预测死亡率的临界值≤2(敏感性,87.5%;特异性,41.3%)。对于PAMV评分≤1、2、3和≥4的患者,90天死亡率分别为29.2%、45.7%、67.9%和90.9%(P<0.001)。
我们的研究开发了一种用于预测90天死亡率的PAMV预后评分。需要进一步研究来验证该评分的实用性。