Predictors of postoperative infectious complications after partial nephrectomy: Analysis at a referral institution
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Le résumé fourni par la source
Infectious complications after partial nephrectomy (PN) remain a significant concern. We aimed to analyze predictive factors of postoperative infectious complications (PICs) occurring after PN. Data on patients undergoing PN for renal masses between January 2018 and May 2023 were retrieved from prospectively maintained institutional database and retrospectively analyzed. Patients were stratified into two groups based on the occurrence of PICs during admission for PN. A PIC was defined by clinical and/or imaging findings of an infectious process plus microbial isolation upon culture examination. Multivariable logistic regression analysis after adjusting for potential confounders evaluated predictors of PIC. Six-hundred and twenty-eight patients underwent PN; rough incidence of PICs was 11.6%, with median time to PIC onset of 1 (interquartile range 0–3) day. Compared to patients without PIC events, the PIC group showed a significantly higher proportion of open surgeries (53.6% vs. 20.4%, p<0.001), hemoglobin drop vs. baseline (−2.6 g/dL vs. −1.7 g/dL, p=0.001), bleeding events (23.2% vs. 10.1%, p<0.01), postoperative transfusion (5% vs. 18.8%, p<0.001), and urinary leakage (4.1% vs. 0.2%, p=0.01). At multivariable logistic regression, the odds of experiencing a PIC were statistically significantly lower after minimally-invasive surgery (odds ratio 0.32, 95% confidence interval 0.17–0.59), and higher for patients who received transfusion (odds ratio 2.64, 95% confidence interval 1.38–5.05). We underlined factors that impact the occurrence of PICs and, consequently, duration of hospitalization following PN. By addressing these predictors, clinicians can promote enhanced patient recovery.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Predictors of postoperative infectious complications after partial nephrectomy: Analysis at a referral institution
- Date Crossref
- 01/04/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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