Siyu Zhang MSc , Kunduzi Tuerganbayi MSc , Jiawen Wang MSc , Hao Liu MD , Po Shen MMed , Yaoyi Guo MMed , Yi Zhong MMed , Yue Feng MMed , Mingtao Ma MMed , Weifeng Yao PhD , Huaming Xia PhD , Kaizong Huang PhD , Yanna Si MD , Anran Dai MSc , Jianjun Zou PhD
{"title":"结合术前和术中数据预测非心胸外科老年患者术后肺炎:在线两阶段预测工具","authors":"Siyu Zhang MSc , Kunduzi Tuerganbayi MSc , Jiawen Wang MSc , Hao Liu MD , Po Shen MMed , Yaoyi Guo MMed , Yi Zhong MMed , Yue Feng MMed , Mingtao Ma MMed , Weifeng Yao PhD , Huaming Xia PhD , Kaizong Huang PhD , Yanna Si MD , Anran Dai MSc , Jianjun Zou PhD","doi":"10.1016/j.gerinurse.2025.02.012","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>This study developed preoperative and combined nomograms that offer practical and innovative tools for clinicians to predict POP risk and improve patient care.</div></div>","PeriodicalId":56258,"journal":{"name":"Geriatric Nursing","volume":"62 ","pages":"Pages 244-253"},"PeriodicalIF":2.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incorporating preoperative and intraoperative data to predict postoperative pneumonia in elderly patients undergoing non-cardiothoracic surgery: The online two-stage prediction tool\",\"authors\":\"Siyu Zhang MSc , Kunduzi Tuerganbayi MSc , Jiawen Wang MSc , Hao Liu MD , Po Shen MMed , Yaoyi Guo MMed , Yi Zhong MMed , Yue Feng MMed , Mingtao Ma MMed , Weifeng Yao PhD , Huaming Xia PhD , Kaizong Huang PhD , Yanna Si MD , Anran Dai MSc , Jianjun Zou PhD\",\"doi\":\"10.1016/j.gerinurse.2025.02.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>This study developed preoperative and combined nomograms that offer practical and innovative tools for clinicians to predict POP risk and improve patient care.</div></div>\",\"PeriodicalId\":56258,\"journal\":{\"name\":\"Geriatric Nursing\",\"volume\":\"62 \",\"pages\":\"Pages 244-253\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geriatric Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S019745722500076X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geriatric Nursing","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S019745722500076X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Incorporating preoperative and intraoperative data to predict postoperative pneumonia in elderly patients undergoing non-cardiothoracic surgery: The online two-stage prediction tool
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.
期刊介绍:
Geriatric Nursing is a comprehensive source for clinical information and management advice relating to the care of older adults. The journal''s peer-reviewed articles report the latest developments in the management of acute and chronic disorders and provide practical advice on care of older adults across the long term continuum. Geriatric Nursing addresses current issues related to drugs, advance directives, staff development and management, legal issues, client and caregiver education, infection control, and other topics. The journal is written specifically for nurses and nurse practitioners who work with older adults in any care setting.