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Clinical Trial Summary

Although several clinical predictive models have been developed to predict postoperative pulmonary complications, few predictive models have been developed for elderly patients. In this study, the researchers aimed to develop a new, simplified model to assess the risk of postoperative pulmonary complications in elderly patients using perioperative database information.


Clinical Trial Description

Postoperative pulmonary complications occur frequently, which is an important cause of death and morbidity. Age has always been an significant predictor of postoperative pulmonary complications. With an aging population worldwide, more and more elderly people are undergoing surgery due to the expansion of surgical indications. As a result of this phenomenon, the elderly are also an important group for the prediction and intervention of postoperative pulmonary complications. In order to better assess the risk of postoperative pulmonary complications in elderly patients, we constructed a model using database information. ;


Study Design


Related Conditions & MeSH terms

  • Postoperative Pulmonary Complications

NCT number NCT05506163
Study type Observational
Source Wuhan Union Hospital, China
Contact Qingping Wu, PhD
Phone 13971605283
Email wqp1968@163.com
Status Recruiting
Phase
Start date August 24, 2022
Completion date September 22, 2022

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