D'Ambrosio Paula Duarte, Terra Ricardo Mingarini, Brunelli Alessandro, Lauricella Leticia Leone, Cavadas Carolina Adan, Fonini Jaqueline Schaparini, Gross Jefferson Luiz, Cipriano Federico Enrique Garcia, Silva Fabio May da, Pêgo-Fernandes Paulo Manuel
. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.
. Department of Thoracic Surgery, St. James's University Hospital, Leeds, United Kingdom.
J Bras Pneumol. 2024 Sep 27;50(4):e20240226. doi: 10.36416/1806-3756/e20240226. eCollection 2024.
The purpose of this study was to assess performance in the Brazilian Lung Cancer Registry Database by using the parsimonious EuroLung risk models for morbidity and mortality.
The EuroLung1 and EuroLung2 models were tested and evaluated through calibration (calibration plot, Brier score, and the Hosmer-Lemeshow test) and discrimination (ROC AUCs), in a national multicenter registry of 1,031 patients undergoing anatomic lung resection.
The evaluation of performance in Brazilian health care facilities utilizing risk-adjustment models, specifically EuroLung1 and EuroLung2, revealed substantial miscalibration, as evidenced by calibration plots and Hosmer-Lemeshow tests in both models. In terms of calibration, EuroLung1 exhibited a calibration plot with overlapping points, characterized by a slope of 1.11 and a Brier score of 0.15; the Hosmer-Lemeshow test yielded a statistically significant p-value of 0.015; and the corresponding ROC AUC was 0.678 (95% CI: 0.636-0.721). The EuroLung2 model displayed better calibration, featuring fewer overlapping points in the calibration plot, with a slope of 1.22, with acceptable discrimination, as indicated by a ROC AUC of 0.756 (95% CI: 0.670-0.842). Both models failed to accurately predict morbidity and mortality outcomes in this specific health care context.
Discrepancies between the EuroLung model predictions and outcomes in Brazil underscore the need for model refinement and for a probe into inefficiencies in the Brazilian health care system.
本研究旨在通过使用简约的欧洲肺癌发病和死亡风险模型,评估巴西肺癌登记数据库中的表现。
在一个包含1031例接受解剖性肺切除术患者的全国多中心登记处,通过校准(校准图、Brier评分和Hosmer-Lemeshow检验)和辨别力(ROC曲线下面积)对EuroLung1和EuroLung2模型进行测试和评估。
利用风险调整模型,特别是EuroLung1和EuroLung2,对巴西医疗机构的表现进行评估,结果显示存在严重的校准错误,这在两个模型的校准图和Hosmer-Lemeshow检验中都得到了证明。在校准方面,EuroLung1的校准图显示各点重叠,斜率为1.11,Brier评分为0.15;Hosmer-Lemeshow检验得出具有统计学意义的p值为0.015;相应的ROC曲线下面积为0.678(95%置信区间:0.636 - 0.721)。EuroLung2模型显示出更好的校准,校准图中的重叠点较少,斜率为1.22,具有可接受的辨别力,ROC曲线下面积为0.756(95%置信区间:0.670 - 0.842)。在这种特定的医疗环境中,这两个模型都未能准确预测发病和死亡结果。
EuroLung模型预测与巴西实际结果之间的差异凸显了模型改进的必要性以及对巴西医疗系统效率低下问题进行探究的必要性。