A Suggestion for Hip Replacement Surgery: Probabilistic Surveillance
| Autor: | Can Hüseyin Hekimoğlu, Esen Batır, Emine Yıldırım Gözel, Emine Alp Meşe |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Klimik Dergisi/Klimik Journal. 34:113-122 |
| ISSN: | 1309-1484 1301-143X |
| Popis: | Objective: Surgical site infection (SSI) surveillance is time-consuming and hard. Identifying high-risk patients and focusing on these patients will be cost and time effective. This study aims to develop a model to identify high-risk patients for the development of SSI after hip replacement surgery and to estimate the utility of the model. Methods: Logistic regression model was created to determine the risk of SSI development using the National Health Service Associated Surveillance Network (USHİİSA) data. The stability of the model was tested using the Bootstrap resampling method. The individual probability of developing SSI was determined for each patient by using the model. The threshold probability to be used in distinguishing high-risk patients was found 1.2% by ROC analysis. For hospitals with different SSI rates and surveillance sensitivity, the utility of the model has been estimated by various parameters. Results: Female gender (OR:1.52; 95% CI:1.22-1.88), being over 65 years of age (OR:2.06; 95% CI:1.63-2.62), procedure duration longer than 75th percentile (OR:1.32; 95% CI:1.07-1.63), ASA score over 3 (OR:2.10; 95% CI:1.48-2.99), and surgery performed in a hospital other than a private hospital (p |
| Databáze: | OpenAIRE |
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