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DOI 10.1155/2022/2836014

Медицинская библиотека · Contrast media & molecular imaging · 2022

Meta-Resolve of Risk Factors for Nosocomial Infection in Patients Undergoing Thoracic Surgery.

Chen Junjian, Zhang Wanyi, Yang Deshu

СтатьяМетаанализОтозванная публикацияПеревод пока не подготовлен
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Аннотация

As we all know, various complications may occur after surgery, and postoperative bleeding and infection are the most common in clinical practice. Postoperative infection mainly manifests as abdominal abscess, peritonitis, and fungal infection. Thoracic surgery is a very common clinical operation. It can directly deal with the relevant lesions, so a better curative effect can usually be obtained. However, patients undergoing thoracic surgery are generally more severely ill, with low immune resistance, long duration, and complicated surgical treatment process. Therefore, the probability of nosocomial infection is high, and there are many risk factors for infection. After the occurrence of HAI, it not only increases the suffering and economic burden of patients and the workload of medical staff but also prolongs the hospitalization time of patients, reduces the turnover rate of hospital beds, causes unnecessary economic losses, and affects the social and economic benefits of hospitals. Based on this, this paper proposes to analyze the risk factors of nosocomial infection in patients undergoing thoracic surgery, so as to provide a reference for the prevention or control of nosocomial infection. This paper analyzes the actual situation of nosocomial infection in a city hospital and then uses meta-analysis to determine the factors of nosocomial infection from the perspective of relevant research literature. Meta-analysis results show that patients older than 60 years have twice the risk of postoperative infection compared with patients younger than 60 years.

Для цитирования: Chen Junjian, Zhang Wanyi, Yang Deshu. Meta-Resolve of Risk Factors for Nosocomial Infection in Patients Undergoing Thoracic Surgery.. Contrast media & molecular imaging. 2022. DOI: 10.1155/2022/2836014.

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