Chen ZY, Hong ZQ, Wang TQ, Fu GMZ, Su WM, Zhou CW. Risk factors for pulmonary infection after thoracoscopic radical resection of lung cancer in elderly patients with diabetes mellitus. World J Diabetes 2025; 16(7): 106903 [DOI: 10.4239/wjd.v16.i7.106903]
Corresponding Author of This Article
Cheng-Wei Zhou, MD, Doctor, Department of Thoracic Surgery, The First Affiliated Hospital of Ningbo University, No. 247 Renmin Road, Jiangbei District, Ningbo 315020, Zhejiang Province, China. fyzhouchengwei@nbu.edu.cn
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Zi-Yuan Chen, Zhi-Qi Hong, Guo-Mei-Zhi Fu, Wen-Min Su, Cheng-Wei Zhou, Department of Thoracic Surgery, The First Affiliated Hospital of Ningbo University, Ningbo 315020, Zhejiang Province, China
Tie-Qiao Wang, Department of Endocrine, The First Affiliated Hospital of Ningbo University, Ningbo 315020, Zhejiang Province, China
Cheng-Wei Zhou, Ningbo Key Laboratory of Multi-Omics & Multimodal Biomedical Data Mining and Computing, Ningbo 315000, Zhejiang Province, China
Co-first authors: Zi-Yuan Chen and Zhi-Qi Hong.
Author contributions: Chen ZY and Hong ZQ designed the study, collected and analyzed data, and wrote the manuscript; Chen ZY, Hong ZQ, Wang TQ, Fu GMZ, Su WM and Zhou CW participated in the study’s conception and data collection; Chen ZY and Hong ZQ participated in study design and provided guidance; All authors read and approved the final version.
Institutional review board statement: This study was approved by the Ethic Committee of The First Affiliated Hospital of Ningbo University.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: No additional data are available.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Cheng-Wei Zhou, MD, Doctor, Department of Thoracic Surgery, The First Affiliated Hospital of Ningbo University, No. 247 Renmin Road, Jiangbei District, Ningbo 315020, Zhejiang Province, China. fyzhouchengwei@nbu.edu.cn
Received: March 12, 2025 Revised: April 3, 2025 Accepted: June 18, 2025 Published online: July 15, 2025 Processing time: 125 Days and 0.8 Hours
Core Tip
Core Tip: This study analyzed the risk factors for postoperative pulmonary infection (PPI) in elderly patients with diabetes undergoing thoracoscopic radical resection of lung cancer and established a predictive model. The study revealed that the primary pathogens of PPI were Gram-negative bacteria (64.14%). Independent risk factors for PPI included receiving neoadjuvant chemotherapy of ≥ 2 times, maximum tumor diameter of ≥ 4 cm, multi-lobe resection, preoperative forced expiratory volume in 1 second of ≤ 80%, and high hemoglobin A1c levels, whereas high albumin levels were determined as a protective factor. The nomogram model established based on these factors demonstrated high predictive performance (area under the curve = 0.901, 0.915), effectively assessing the risk of postoperative infection and providing individualized prevention and management strategies for clinical practice.
