Metabolic Syndrome Predicts Worse Perioperative Outcomes in Patients Treated With Partial Nephrectomy for Renal Cell Carcinoma

[Correlation between metabolic syndrome and prognosis of patients with clear cell renal cell carcinoma]

OBJECTIVE

To investigate the effects of MetS on the prognosis of patients with clear cell renal cell carcinoma (ccRCC).

METHODS

Clinical and pathological data and the laboratory test of ccRCC 342 patients with diverticular stones who underwent ccRCC who underwent radical or partial nephrectomy were retrospectively collected and analyzed.The patients were divided into MetS group and non-MetS group, and the subgroups were defined according to the tumor size. The overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS) of the two groups were analyzed by univariate Cox analysis, and the subgroup analyses were also performed. Kaplan-Meier survival curve and survival analysis for OS, CSS, and PFS of the two groups and the subgroups were conducted.

RESULTS

Univariate Cox analysis showed that MetS was a protective factor of postoperative OS [hazard ratio (HR)=0.551, 95%CI: 0.321-0.949, P=0.031], CSS (HR=0.460, 95%CI: 0.234-0.905, P=0.025), and PFS (HR 0.585, 95%CI: 0.343-0.998, P=0.049) in the patients with ccRCC. In the subgroup with tumor size≤4 cm, MetS was not associated with postoperative OS (HR=0.857, 95%CI: 0.389-1.890, P=0.702), CSS (HR=1.129, 95%CI: 0.364-3.502, P=0.833), and PFS (HR=1.554, 95%CI: 0.625-3.864, P=0.343). In the subgroup with tumor size>4 cm, Mets was a protective factor of postoperative OS (HR=0.377, 95%CI: 0.175-0.812, P=0.013), CSS (HR=0.280, 95%CI: 0.113-0.690, P=0.006), and PFS (HR=0.332, 95%CI: 0.157-0.659, P=0.002); Obesity was a protective factor of postoperative CSS (HR=0.464, 95%CI: 0.219-0.981, P=0.044), and PFS (HR=0.445, 95%CI: 0.238-0.833, P=0.011). Kaplan-Meier survival analysis showed that the long-term survival of patients with MetS was better than those without MetS in OS (P=0.029), CSS (P=0.021), and PFS (P=0.046); for the subgroup with tumor size≤4 cm, there was no significant difference in postoperative OS (P=0.702), CSS (P=0.833), and PFS (P=0.339) between patients with and without MetS; For the subgroup with tumor size>4 cm, the OS (P=0.010), CSS (P=0.003), and PFS (P=0.001) of patients with MetS were better than those without MetS.

CONCLUSION

MetS was a protective factor of postoperative OS, CSS, and PFS in the patients with ccRCC, which was more obvious in subgroup with tumor size>4 cm. And obesity, the component of MetS, was correlated with postoperative OS and CSS.

Evaluation of Renal Function after Partial Nephrectomy and Detection of Clinically Significant Acute Kidney Injury

Background and Objectives: Consequences of partial nephrectomy (PN), intraoperative hypotension (IOH) and postoperative neutrophil to lymphocyte ratio (NLR) may cause postoperative acute kidney injury (AKI) and in long-term-chronic kidney disease (CKD). Our study aimed to identify the AKI incidence after PN, to find clinically significant postoperative AKI and renal dysfunction, and to determine the predictor factors. Materials and Methods: A prospective observational study consisted of 91 patients who received PN with warm ischemia, and estimated preoperative glomerular filtration rate (eGFR) ≥ 60 mL/min and without abnormal albuminuria. Results: 38 (41.8%) patients experienced postoperative AKI. Twenty-one (24.1%) patients had CKD upstage after 1 year follow-up. Sixty-seven percent of CKD upstage patients had AKI 48 h after surgery and 11% after 2 months. All 15 (16.5%) patients with CKD had postoperative AKI. With IOH, OR 1.07, 95% CI 1.03−1.10 and p < 0.001, postoperative NLR after 48 h (OR 1.50, 95% CI 1.19−1.88, p < 0.001) was the major risk factor of AKI. In multivariate logistic regression analysis, the kidney’s resected part volume (OR 1.08, 95% CI 1.03−1.14, p < 0.001) and IOH (OR 1.10, 95% CI 1.04−1.15, p < 0.001) were retained as statistically significant prognostic factors for detecting postoperative renal dysfunction. The independent risk factor for clinically significant postoperative AKI was only IOH (OR, 1.06; p < 0.001). Only AKI with the CKD upstage group has a statistically significant effect (p < 0.0001) on eGFR 6 and 12 months after surgery. Conclusions: The presence of AKI after PN is not rare. IOH and NLR are associated with postoperative AKI. The most important predictive factor of postoperative AKI is an NLR of over 3.5. IOH is an independent risk factor for clinically significant postoperative AKI and together with kidney resected part volume effects postoperative renal dysfunction. Only clinically significant postoperative AKI influences the reduction of postoperative eGFR after 6 and 12 months.