Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer
Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer
复制标题
食管癌切除术后90天死亡风险预测模型
DOI:
10.1001/jamasurg.2021.2376
复制
发表时间:
2021-06-23
期刊:
影响因子:
16.9
通讯作者:
Low, Donald E.
中科院分区:
文献类型:
--
作者:
D'Journo, Xavier Benoit;Boulate, David;Low, Donald E.
IMPORTANCE Ninety-day mortality rates after esophagectomy are an indicator of the quality of surgical oncologic management. Accurate risk prediction based on large data sets may aid patients and surgeons in making informed decisions.OBJECTIVE To develop and validate a risk prediction model of death within 90 days after esophagectomy for cancer using the International Esodata Study Group (IESG) database, the largest existing prospective, multicenter cohort reporting standardized postoperative outcomes.DESIGN, SETTING, AND PARTICIPANTS In this diagnostic/prognostic study, we performed a retrospective analysis of patients from 39 institutions in 19 countries between January 1, 2015, and December 31, 2019. Patients with esophageal cancer were randomly assigned to development and validation cohorts. A scoring system that predicted death within 90 days based on logistic regression beta coefficients was conducted. A final prognostic score was determined and categorized into homogeneous risk groups that predicted death within 90 days. Calibration and discrimination tests were assessed between cohorts.EXPOSURES Esophageal resection for cancer of the esophagus and gastroesophageal junction.MAIN OUTCOMES AND MEASURES All-cause postoperative 90-day mortality.RESULTS A total of 8403 patients (mean [SD] age, 63.6 [9.0] years; 6641 [79.0%] male) were included. The 30-day mortality rate was 2.0%(n = 164), and the 90-day mortality rate was 4.2%(n = 353). Development (n = 4172) and validation (n = 4231) cohorts were randomly assigned. The multiple logistic regression model identified 10 weighted point variables factored into the prognostic score: age, sex, body mass index, performance status, myocardial infarction, connective tissue disease, peripheral vascular disease, liver disease, neoadjuvant treatment, and hospital volume. The prognostic scores were categorized into 5 risk groups: very low risk (score, >= 1; 90-day mortality, 1.8%), low risk (score, 0; 90-day mortality, 3.0%), medium risk (score, -1 to -2; 90-day mortality, 5.8%), high risk (score, -3 to -4: 90-day mortality, 8.9%), and very high risk (score,