Incorporating preoperative and intraoperative data to predict postoperative pneumonia in elderly patients undergoing non-cardiothoracic surgery: The online two-stage prediction tool.

• Tác giả: Anran Dai, Yue Feng, Yaoyi Guo, Kaizong Huang, Hao Liu, Mingtao Ma, Po Shen, Yanna Si, Kunduzi Tuerganbayi, Jiawen Wang, Huaming Xia, Weifeng Yao, Siyu Zhang, Yi Zhong, Jianjun Zou
• Ngôn ngữ: eng
• Ký hiệu phân loại: 635.95 Groupings by environmental factors
• Thông tin xuất bản: United States : Geriatric nursing (New York, N.Y.) , 2025
• Bộ sưu tập: NCBI
• ID: 695290

Tóm tắt

BACKGROUND: Prior research on postoperative pneumonia (POP) risk models focused on preoperative factors but overlooked intraoperative variables vital for precision. These models also neglected the higher-risk elderly population. This study seeks to develop and evaluate preoperative and combined models to predict POP risk in elderly patients undergoing non-cardiothoracic surgery. METHODS: A retrospective cohort of 444 patients who underwent non-cardiothoracic surgery at Nanjing First Hospital from March 2021 to April 2022 was included. Univariate analysis and Least Absolute Shrinkage and Selection Operator (LASSO) regression were employed to develop preoperative and combined logistic regression models. RESULTS: The area under the receiver operating characteristic curve for both models exceeded 0.80, indicating excellent discriminatory ability. Furthermore, the combined model demonstrated superior predictive accuracy compared to the preoperative model. CONCLUSION: This study developed preoperative and combined nomograms that offer practical and innovative tools for clinicians to predict POP risk and improve patient care.