External validation of the parsimonious EuroLung risk models: analysis of the Brazilian Lung Cancer Registry

被引:0
|
作者
D'Ambrosio, Paula Duarte [1 ]
Terra, Ricardo Mingarini [1 ]
Brunelli, Alessandro [2 ]
Lauricella, Leticia Leone [1 ]
Cavadas, Carolina Adan [1 ]
Fonini, Jaqueline Schaparini [1 ]
Gross, Jefferson Luiz [3 ]
Cipriano, Federico Enrique Garcia [4 ]
da Silva, Fabio May [5 ]
Pego-Fernandes, Paulo Manuel [1 ]
机构
[1] Univ Sao Paulo, Hosp Clin Sao Paulo, Fac Med, Inst Canc Estado Sao Paulo ICESP, Sao Paulo, SP, Brazil
[2] St James Univ Hosp, Dept Thorac Surg, Leeds, England
[3] AC Camargo Canc Ctr, Ctr Referencia Pulmao Torax, Sao Paulo, SP, Brazil
[4] Hosp Clin, Fac Med Ribeirao Preto, Ribeirao Preto, SP, Brazil
[5] Univ Fed Santa Catarina, Dept Cirurgia, Florianopolis, SC, Brazil
关键词
Qualityof health care; Models; statistical; Public health; Morbidity; Lung neoplasms; THORACIC SURGEONS; EUROPEAN-SOCIETY; EPIDEMIOLOGY; FRAMEWORK; SURVIVAL;
D O I
10.36416/1806-3756/e20240226
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Objective: 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. Methods: 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. Results: 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. Conclusions: 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.
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页数:7
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