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Peak Workload as Predictor of Respiratory Complications in Patients Undergoing Resection for Lung Cancer.

코호트 1/5 보강
Respiration; international review of thoracic diseases 📖 저널 OA 30.4% 2024: 0/1 OA 2025: 1/3 OA 2026: 6/16 OA 2024~2026 2026 p. 1-9
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
환자: Wpeak ≤52% had a significantly higher rate of postoperative complications (58% vs
I · Intervention 중재 / 시술
anatomical lung resection (lobectomy or segmentectomy) for non-small cell lung cancer between 2013 and 2017
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Although the discriminatory ability was modest (AUC 0.59), Wpeak ≤52% predicted was associated with higher postoperative complications and may serve as a complementary tool for risk stratification, especially in resource-limited settings. Further prospective validation is warranted.

Rodó-Pin A, Martín-Ontiyuelo C, Rodríguez-Fuster A, Sanchez-Font A, Chalela R, Curull V

📝 환자 설명용 한 줄

[INTRODUCTION] To determine whether peak workload (Wpeak), expressed as a percentage of predicted value during a cardiopulmonary exercise test (CPET), can predict postoperative cardiopulmonary complic

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.015
  • p-value p = 0.001
  • 95% CI 0.51-0.67
  • 연구 설계 cohort study

이 논문을 인용하기

↓ .bib ↓ .ris
APA Rodó-Pin A, Martín-Ontiyuelo C, et al. (2026). Peak Workload as Predictor of Respiratory Complications in Patients Undergoing Resection for Lung Cancer.. Respiration; international review of thoracic diseases, 1-9. https://doi.org/10.1159/000550269
MLA Rodó-Pin A, et al.. "Peak Workload as Predictor of Respiratory Complications in Patients Undergoing Resection for Lung Cancer.." Respiration; international review of thoracic diseases, 2026, pp. 1-9.
PMID 41697893 ↗
DOI 10.1159/000550269

Abstract

[INTRODUCTION] To determine whether peak workload (Wpeak), expressed as a percentage of predicted value during a cardiopulmonary exercise test (CPET), can predict postoperative cardiopulmonary complications in high-risk patients undergoing lung cancer resection.

[METHODS] A retrospective cohort study was conducted on 226 consecutive patients who underwent anatomical lung resection (lobectomy or segmentectomy) for non-small cell lung cancer between 2013 and 2017. All patients were considered high risk, with preoperative FEV and DLco <80% predicted and underwent full CPET within 30 days prior to surgery. The main endpoint was the occurrence of cardiopulmonary complications within 30 days postoperatively. The predictive ability of Wpeak (% predicted) for complications was evaluated using ROC analysis and optimal cutoff was identified. Outcomes were compared above and below this threshold.

[RESULTS] A Wpeak threshold of 52% predicted was identified as the optimal cutoff, with an area under the ROC curve of 0.59 (95% CI: 0.51-0.67; p = 0.015). Patients with Wpeak ≤52% had a significantly higher rate of postoperative complications (58% vs. 33%, p = 0.001), particularly respiratory complications (47% vs. 28%, p = 0.008), and longer hospital stays (mean 24 vs. 15 days, p = 0.002). They also had lower FEV, DLco, VOpeak, and heart rate responses compared to patients with Wpeak >52%.

[CONCLUSIONS] Wpeak ≤52% of predicted was associated with increased risk of postoperative complications and longer hospitalization. Although the discriminatory ability was modest (AUC 0.59), Wpeak ≤52% predicted was associated with higher postoperative complications and may serve as a complementary tool for risk stratification, especially in resource-limited settings. Further prospective validation is warranted.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반