Acute kidney injury (AKI) is a serious complication in the intensive care unit (ICU), which may increase the mortality of critically ill patients. The red blood cell distribution width (RDW) has proved useful as a predictor of short-term prognosis in critically ill patients with AKI. However, it remains unknown whether RDW has a prognostic value of long-term all-cause mortality in these patients. The data of 18279 critically ill patients with AKI at first-time hospital admission were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The tertiles of the RDW values were used to divide subjects into three groups, namely RDW < 13.6% for the low RDW group, 13.6% ≤ RDW < 15.2% for the middle RDW group and RDW ≥ 15.2% for the high RDW group. Demographic data, mortality, 4-year survival time and severity scale scores were compared among groups. The Kaplan-Meier analysis and the Cox regression analysis were performed to assess the impact of RDW on all-cause mortality in AKI patients. The receiver operating characteristic (ROC) curve analysis was done to evaluate the prognostic value of RDW on the long-term outcome of critically ill patients with AKI. The median age of the enrolled subjects was 65.6 years. AKI patients with a higher RDW value had significantly shorter survival time and higher death rate. By the Kaplan-Meier analysis, patients in the higher RDW group presented significantly shorter survival time and higher death rate. The Cox regression model indicated RDW as an independent risk factor of all-cause mortality of AKI patients (HR 1.219, 95% CI, 1.211 to 1.228). By the ROC analysis, RDW appeared more efficient in predicting long-term prognosis as compared with conventional severity scales. The AUC of RDW (95% CI, 0.712 to 0.725) was significantly higher than other severity scale scores. In conclusion, RDW is positively correlated to survival time of 4-year follow-up in critically ill patients with AKI, and RDW is an independent prognostic factor of longterm outcomes of these patients. Acute kidney injury (AKI) is one of the most common complications in critically ill patients, which results in poor prognosis and high risk of death 1. Approximately 57% of patients in the intensive care unit (ICU) were complicated with AKI, and up to 27% died consequently during hospitalization 2. When AKI occurs concomitantly with other severe organ dysfunctions like myocardial infarction or sepsis, the mortality rate is further increased to 45% to 60% 3 .

Background/Aims: Dysbiosis of the intestinal microbiota may accelerate the progression of chronic kidney disease (CKD) by increasing the levels of urea toxins. In recent years, probiotics have been recognized to maintain the physiological balance of the intestinal microbiota. In this study, we aim to assess the therapeutic effects of probiotics on CKD patients with and without dialysis via meta-analysis. Methods: We conducted a meta-analysis of randomized controlled trials (RCTs) by searching the databases of Pubmed, EMBASE and Cochrane Library (No. CRD42018093080). Studies on probiotics for treatment of CKD adults lasting for at least 4 weeks were selected. The primary outcomes were the levels of urea toxins, and the second outcomes were the levels of interleukin (IL)-6, C-reactive protein (CRP) and hemoglobin (Hb). The risk of bias was assessed by Cochrane Collaboration’ tool, and the quality of evidence was appraised with the Grading of Recommendation Assessment. Means and standard deviations were analyzed by random effects analysis. Stratified analysis was done and sensitivity analysis was performed when appropriate. Results: Totally, eight studies with 261 patients at CKD stage 3 to 5 with and without dialysis were included. We found a decrease of p-cresyl sulfate (PCS) of 3 studies with 125 subjects (P = 0.01, SMD -0.57, 95% CI, -0.99 to -0.14, I² = 25%) and an increase of IL-6 in 3 studies with 134 subjects (P = 0.03, 95% CI, SMD 0.37, 0.03 to 0.72, I² = 0%) in the probiotics groups. Analysis of serum creatinine (P = 0.47), blood urine nitrogen (P = 0.73), CRP (P = 0.55) and Hb (P = 0.49) yielded insignificant difference. Conclusion: Limited number of studies and small sample size are limitations of our study. Probiotics supplementation may reduce the levels of PCS and elevate the levels of IL-6 whereby protecting the intestinal epithelial barrier of patients with CKD.

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Background: Renal anemia is a severe complication of chronic kidney disease (CKD) and may worsen its prognosis. Roxadustat is the only oral hypoxia-inducible factor prolyl hydroxylase inhibitor (HIF-PHI) that has been proved effective to treat renal anemia. However, effects of roxadustat on non-dialysis-dependent CKD (NDD-CKD) have yet to be supported by evidence-based medicine.Methods: Based on the databases of PubMed, EMBASE and Web of Science by 12 April 2019 (CRD42019133225), a meta-analysis of randomized controlled trials (RCTs) on roxadustat for treatment of NDD-CKD was conducted. Primary outcomes were parameters of hemoglobin (Hb) and Hb response.Secondary outcomes were hepcidin, ferritin, total iron binding capacity (TIBC), transferrin saturation (TAST), incidences of diarrhea, adverse events (AEs) and severe adverse events (SAEs). The risk of bias and the quality of evidence were assessed, respectively. Both continuous and binary variables were analyzed by the random effects models. Sensitivity analyses were performed when a significant heterogeneity was observed (P<0.1 and I 2 >50%). Results: Finally, three studies with a total of 214 subjects in the roxadustat group and 80 subjects in the placebo group were enrolled. An increase of Hb [weighted mean difference (WMD) =1.

The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biological markers of ageing. Different from traditional concepts, the BA equation does not emphasize the importance of a golden index but focuses on using indices of vital organs to represent the senescence of whole body. This model has been used to assess the ageing process in a more precise way and may predict possible diseases better as compared with the chronological age (CA). The principal component analysis (PCA) is applied as one of the common and frequently used methods in the construction of the BA formula. Compared with other methods, PCA has its own study procedures and features. Herein we summarize the up-to-date knowledge about the BA formula construction and discuss the influential factors, so as to give an overview of BA estimate by PCA, including composition of samples, choices of test items, and selection of ageing biomarkers. We also discussed the advantages and disadvantages of PCA with reference to the construction mechanism, accuracy, and practicability of several common methods in the construction of the BA formula.