Pre-operation NLR can be considered as a potential prognostic biomarker in patients with RCC who underwent surgical resection.
Background and Aims: Dyslipidemia is common in patients with chronic kidney disease and particular prevalent in patients receiving peritoneal dialysis. However, whether markers of atherogenic dyslipidemia correlate with outcomes in dialysis patients as in the general population is uncertain. Here, we investigated the prognostic value of the serum triglyceride/HDL cholesterol (TG/HDL-C) ratio and non-HDL-C/HDL-C ratio in peritoneal dialysis patients to predict all-cause mortality. Methods 214 PD patients were retrospectively analyzed from January 2011 to December 2015, with a median follow-up of 59 months. We used receiver operating curves (ROC) to determine the optimal threshold for TG/HDL-C and non-HDL/HDL-C ratios at baseline to predict OS during follow-up. Prognostic values were accessed by univariate and multivariate COX regression analysis and Kaplan-Meier curve. A predictive nomogram was developed to predict prognosis for overall survival, and the predictive accuracy was evaluated by concordance index (c-index). Results The optimal cut-off values for TG/HDL-C ratio and non-HDL-C/HDL-C ratio were 1.94 and 2.86, respectively. A high TG/HDL-C ratio and a high non-HDL-C/HDL-C ratio strongly correlated with worse OS in PD patients. Multivariate analysis demonstrated that elevated TG/HDL-C ratio as well as non-HDL/HDL-C ratios were independent markers to predict reduced OS. The TG/HDL-C ratio (HR 2.60, 95% CI 1.40–4.83, P = 0.002) was superior to non-HDL-C/HDL-C ratio based on hazard ratio (HR 2.43, 95% CI 1.09–5.40, P = 0.029). Conclusion TG/HDL-C ratio and non-HDL-C/HDL-C were identified as potential prognostic biomarkers in PD patients. The proposed nomograms can be utilized for prediction of OS in PD patients.
Background and aims: Dyslipidemia is common in patients with chronic kidney disease and particular prevalent in patients receiving peritoneal dialysis. However, whether markers of atherogenic dyslipidemia correlate with outcomes in dialysis patients as in the general population is uncertain. The aim of this study was to explore the prognostic value of the serum triglyceride/HDL cholesterol (TG/HDL-C) ratio and non-HDL-C/HDL-C ratio to predict mortality in peritoneal dialysis patients. Methods: Two hundred fourteen peritoneal dialysis patients were retrospectively analyzed from January 2011 to December 2015, with a median follow-up of 59 months. We used receiver operating curves (ROC) to determine the optimal threshold for TG/HDL-C and non-HDL/HDL-C ratios at baseline to predict overall survival during follow-up. Prognostic values were accessed by univariate and multivariate COX regression analysis and Kaplan-Meier curve. A predictive nomogram was developed to predict prognosis for overall survival, and the predictive accuracy was evaluated by concordance index (c-index). Results: The optimal cutoff values for TG/HDL-C ratio and non-HDL-C/HDL-C ratio to predict mortality were 1.94 and 2.86, respectively. A high TG/HDL-C ratio and a high non-HDL-C/HDL-C ratio strongly correlated with worse overall survival in peritoneal dialysis patients. Multivariate analysis demonstrated that elevated TG/HDL-C ratio (HR 3.57, 95% CI 1.99, 6.39, P < 0.000) as well as non-HDL/HDL-C ratio (HR 2.58, 95%CI 1.39-4.81, P = 0.003) were independent markers to predict reduced OS. A nomogram was constructed to predict overall survival, with a cindex for predictive accuracy of 0.795. Conclusion: TG/HDL-C ratio and non-HDL-C/HDL-C may serve as potential prognostic biomarkers in PD patients.
Fibrinogen to albumin ratios (FAR) have shown to be a promising prognostic factor for improving the predictive accuracy in various diseases. This study explores FAR's prognostic significance in critically ill patients with acute kidney injury (AKI). All clinical data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care Database III version 1.4. All patients were divided into four groups based on FAR quartiles. The primary endpoint was in-hospital mortality. A generalized additive model was applied to explore a nonlinear association between FAR and in-hospital mortality. The Cox proportional hazards models were used to determine the association between FAR and in-hospital mortality. A total of 5001 eligible subjects were enrolled. Multivariate analysis demonstrated that higher FAR was an independent predictor of in-hospital mortality after adjusting for potential confounders (HR, 95% CI 1.23, 1.03–1.48, P = 0.025). A nonlinear relationship between FAR and in-hospital mortality was observed. FAR may serve as a potential prognostic biomarker in critically patients with AKI and higher FAR was associated with increased risk of in-hospital mortality among these patients.
BackgroundInflammation has been reported to be involved in carcinogenesis and cancer progression. This study was designed to explore the prognostic significance of lymphocyte-to-monocyte ratio (LMR) and serum C-reactive protein (CRP) in nonmetastatic clear cell renal cell carcinoma (ccRCC) patients after treatment.MethodsThe retrospective study consisted of 985 patients with ccRCC who had undergone nephrectomy from 2005 to 2010 at multiple centers. The patients were divided into four groups using a quartile of LMR or CRP, and their associations with clinical characteristics and outcome were systematically estimated.ResultsBoth low LMR and high CRP significantly diminished overall survival (OS) and metastasis-free survival (MFS) in patients with ccRCC. Further investigation indicated that LMR and CRP were independent prognostic factors of both OS and MFS. Integration of LMR and CRP into a predictive model, including significant variables in multivariate analysis, established a nomogram to predict accurately the 3- and 5-year survival for nonmetastatic patients with ccRCC.ConclusionLMR and CRP represent independent prognostic factors of OS and MFS for patients with ccRCC. Incorporation of LMR and CRP into the traditional TNM staging system may improve their predictive performance.
The objective of the study is to evaluate unenhanced CT following intravenous urography (IVU) for the detection of upper urinary tract (UUT) abnormalities, when IVU fails to provide the qualitative diagnosis. Helical CT scan was performed on patients with suspected disorders of UUT, after the completion of IVU for further diagnoses. In total, 124 cases of definite diagnosis and 71 cases of uncertain diagnosis via IVU were collected from 195 patients with suspected UUT disorders. Among the 71 uncertain cases, 65 patients were consent to undergo immediate or delayed CT scan. CT data were transferred to the workstation for postprocessing. Of all the 65 cases, the major CT diagnoses were the following: stone disease (n = 41), urinary tract infections (n = 4), UUT tumors (n = 7), neighboring invasion or metastasis (n = 2), congenital anomalies (n = 2), and compressed stenosis (n = 6). Among all the results, 62 cases were confirmed by surgery, pathology or clinical follow-up, while three cases (4.6%) left were still uncertain. The diagnose accordance rate of IVU + CT achieved to 95.4%. There was significant difference between IVU and IVU + CT in the determinate diagnosis of UUT diseases (chi (2) = 30.4, P < 0.05). In conclusion, IVU + CT provides more valuable information for the localization and qualitative diagnosis of UUT abnormalities. It is recommended as a cost-effective and time-saving complemental means for IVU.
BackgroundZinc is an essential trace element involved in multiple metabolic processes. Acute kidney injury (AKI) is associated with low plasma zinc, but outcomes with zinc supplementation in critically ill patients with AKI remain unknown. Our objective was to investigate the effectiveness of zinc supplementation in this patient population.MethodsCritically ill patients with AKI were identified from the Medical Informative Mart for Intensive Care IV database. Prosperity score matching (PSM) was applied to match patients receiving zinc treatment to those without zinc treatment. The association between zinc sulfate use and in-hospital mortality and 30-day mortality, need for renal replacement therapy (RRT), and length of stay was determined by logistic regression and Cox proportional hazards modeling.ResultsA total of 9,811 AKI patients were included in the study. PSM yielded 222 pairs of patients who received zinc treatment and those who did not. Zinc supplementation was associated with reduced in-hospital mortality (HR = 0.48 (95% CI: 0.28, 0.83) P = 0.009) and 30-day mortality (HR = 0.51 (95% CI, 0.30, 0.86) P = 0.012). In the subgroup analysis, zinc use was associated with reduced in-hospital mortality in patients with stage 1 AKI and those with sepsis.ConclusionsZinc supplementation was associated with improved survival in critically ill patients with AKI. The supplementation was especially effective in those with stage 1 AKI and sepsis. These results need to be verified in randomized controlled trials.
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