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Thorac Cardiovasc Surg 2023; 71(08): 671-679
DOI: 10.1055/s-0043-1768224
Original Thoracic

Patient-Reported Outcome–Based Prediction for Postdischarge Complications after Lung Surgery

Ding Yang 
1   Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
,
Xing Wei 
2   Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, China
,
Qian Hong
1   Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
,
Chenguang Zhao
1   Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
,
Juwei Mu
1   Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
› Author Affiliations Funding Natural Science Foundation of Sichuan Province (No.2023NSFSC1047). Wu Jieping Medical Foundation (No. 320.6750.2021-17-2).
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Abstract

Background Patients undergoing lung tumor surgery may experience various complications after discharge from the hospital. Using patient-reported outcomes (PROs), this study attempted to identify relevant indicators of postdischarge complications after lung tumor surgery and develop a predictive nomogram model to evaluate the risk for individual patients.

Methods Patients who underwent lung tumor surgery between December 2021 and June 2022 were included in this study. PROs were assessed using the Perioperative Symptom Assessment for Lung Surgery scale and were assessed preoperatively at baseline, on postoperative day 1 (POD1) 1 to POD4, and then weekly until the fourth week. A random forest machine learning prediction model was built to rank the importance of each PRO score of patients on POD1 to POD4. We then selected the top 10 variables in terms of importance for the multivariable logistic regression analysis. Finally, a nomogram was developed.

Results PROs, including coughing (POD3 and POD4), daily activity (POD1), and pain (POD1 and POD2), were associated with postdischarge complications in patients undergoing lung tumor surgery. The predictive model showed good performance in estimating the risk of postdischarge complications, with an area under the curve of 0.833 (95% confidence interval: 0.753–0.912), while maintaining good calibration and clinical value.

Conclusion We found that PRO scores on POD1 to POD4 were associated with postdischarge complications after lung tumor surgery, and we developed a helpful nomogram model to predict the risk of postdischarge complications.

Keywords

patient-reported outcomes - lung tumor surgery - postdischarge complications - nomogram

Ethical Statement

This study was approved by Ethics Committee of National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (approval no. 22/301-3503). All study data collected are for scientific research only, and no additional interventions beyond routine perioperative care would be performed on the enrolled patients. The study was conducted in accordance with the Declaration of Helsinki, and conform with relevant medical ethics.




Publication History

Received: 12 September 2022

Accepted: 05 March 2023

Article published online:
26 April 2023

© 2023. Thieme. All rights reserved.

Georg Thieme Verlag KG
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