ArticleAmerican journal of translational research2023
Predictive model of systemic inflammatory response syndrome after percutaneous nephrolithotomy for kidney calculi based on logistic regression.
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 1 citations in OpenAlex.
- The Predictive Value of Systemic Inflammatory Biomarkers in Predicting Postoperative Systemic Inflammatory Response Syndrome After Percutaneous Nephrolithotomy.International journal of general medicine · 2024Article
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5 authors at 2 institutions in 2 countries.
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Abstract
objectiveTo establish a predictive model of systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL) for kidney calculi based on logistic regression.
methodsThe data of 148 patients with unilateral kidney calculi treated in Xi'an International Medical Center Hospital from October 2019 to September 2022 were analyzed retrospectively. According to development of SIRS after PCNL, the patients were divided into one group with SIRS after operation (occurrence group, n = 19) and another group without SIRS after operation (non-occurrence group, n = 129). The clinical data of patients were collected, and risk factors for SIRS after PCNL in patients with unilateral kidney calculi were analyzed by logistic regression.
resultsGender, body mass index (BMI), hypertension, diabetes mellitus (DM), calculi size ≥ 30 mm, renal insufficiency, and hydronephrosis were risk factors for postoperative SIRS (P < 0.05). According to multivariate logistic regression analysis, BMI, DM, hypertension, calculi size ≥ 30 mm, and hydronephrosis were independent risk factors for SIRS (P < 0.05). Based on the regression coefficient, a predictive model was established. The occurrence group had a higher risk score than the non-occurrence group (P < 0.05). According to receiver operating characteristic (ROC) curve-based analysis, the area under the curve of risk score for predicting SIRS in patients was 0.898.
conclusionPatients with BMI ≥ 25 kg/m
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37434839PMC10331654W4383999168What OpenQuestion holds
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