Abstract

BackgroundWe aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy.MethodsThe study included a development cohort of 1111 patients who were treated between June 2012 and June 2017 and an additional validation cohort of 356 patients who were treated between July 2017 and June 2018. Stepwise regression and logistic regression analyses were used to evaluate the association between predictors and AKI. Incorporating all independent predictors, a nomogram for postoperative AKI was developed and externally validated. Patients were followed up for 5 years to assess renal function, acute kidney disease (AKD), chronic kidney disease (CKD), hospital readmission and mortality were key prognosis we focused on.ResultsAfter multivariate logistic regression, radical nephrectomy (odds ratio (OR) = 3.57, p < 0.001), aspirin (OR = 1.79, p = 0.008), systolic blood pressure (OR = 1.41, p = 0.004), triglyceride (OR = 1.26, p = 0.024), and alkaline phosphatase (OR = 1.75, p = 0.034) were independent risk factors for postoperative AKI, while albumin (OR = 0.72, p = 0.031) was a protective factor for postoperative AKI. Patients with a higher estimated glomerular filtration rate (eGFR) (60–90 ml/min/1.73 m2, OR = 0.41, p = 0.004; ≥ 90 ml/min/1.73 m2, OR = 0.37, p < 0.001) were less prone to AKI than those with a lower eGFR (< 15 ml/min/1.73 m2). These predictors were all included in the final nomogram. The area under the receiver operating characteristics curve for the model were 0.77 (p < 0.001) in the development cohort and 0.72 (p < 0.001) in the validation cohort. The incidence of AKD and CKD were 27.12 and 18.64% in AKI group, which were much higher than those in no AKI group (p < 0.001).ConclusionsThe nomogram had excellent predictive ability and might have significant clinical implications for the early detection of AKI in patients undergoing nephrectomy.

Highlights

  • We aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy

  • Baseline characteristics Initially, the development cohort included 1900 patients who underwent nephrectomy between June 2012 and June 2017, and the additional validation cohort consisted of 513 patients who were treated between July 2017 and June 2018

  • Patients with a preoperative estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 were more commonly represented in the radical nephrectomy (RN) group than in the partial nephrectomy (PN) group (13.98% vs. 6.11%, p < 0.001), showing worse preoperative renal function among RN patients. (Table 1 and Additional file 3)

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Summary

Introduction

We aimed to develop a nomogram based on preprocedural features for early prediction of acute kidney injury (AKI) and to assess the prognosis in patients after radical and partial nephrectomy. The standard treatment is surgical excision, including radical nephrectomy (RN) or partial nephrectomy (PN) and laparotomy or minimally invasive approaches [4, 5]. Compared to RN, which involves removal of the whole kidney, PN is emphasized in the management of patients with clinical T1 renal masses that can be cured [10, 13], while RN remains the standard surgery for tumors > 7 cm (T2 or more) [4, 17, 18]. In addition to PN and RN, there has been an evolution in surgical management, and minimally invasive nephrectomy has gained importance as an alternative treatment to laparotomy

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