ArticleWorld journal of urology2024
Development of a multivariate model predictive of post-adrenalectomy renal function decline in patients with primary aldosteronism: a large-cohort single-center study.
Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeTo develop a multivariate liniear model for predicting long-term (> 3 months) post-adrenalectomy renal function decline in patients with primary aldosteronism (PA). The model aims to help identify patients who may experience a significant decline in renal function after surgery.
methodsWe retrospectively analyzed the clinical data of 357 patients who were diagnosed with PA and underwent adrenalectomy between September 2012 and February 2023. LASSO and multivariate linear regression analyses were used to identify significant risk factors for model construction. The models were further internally validated using bootstrap method.
resultsAge (P < 0.001), plasma aldosterone concentration (PAC) measured in the upright-position (PAC
conclusionThe linear model incorporating perioperative clinical variables can accurately predict long-term (> 3 months) post-adrenalectomy renal function decline.
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