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The aim of this study was to systematically review relevant studies to evaluate the value of urinary interleukin-18 (uIL-18) in predicting acute kidney injury (AKI). A comprehensive search of PubMed, Medline, Embase, and Cochrane Library was conducted for literature published up to 1 August 2022. Quality Assessment Tool for Diagnostic Accuracy Studies-2 (QUADAS-2) was applied to assess the literature quality. Then, relevant data were extracted from each eligible study and a random-effects regression model was utilized to pool sensitivity, specificity, and construct summary receiver operating characteristic (SROC) and area under curve (AUC). Twenty-six studies with 7183 patients were enrolled and relevant information was extracted. The estimated sensitivity and specificity of uIL-18 in the diagnosis of AKI were 0.64 (95% confidence interval (CI): 0.54–0.73) and 0.77 (95%CI: 0.71–0.83), respectively. The pooled diagnostic odds ratio (DOR) was 6.08 (95%CI: 3.63–10.18), and the AUC of uIL-18 in predicting AKI was 0.78 (95%CI: 0.74–0.81). Subgroup analysis showed that uIL-18 in pediatric patients was more effective in predicting AKI than in adults (DOR: 7.33 versus 5.75; AUC: 0.81 versus 0.77). Urinary IL-18 could be a relatively good biomarker with moderate predictive value for AKI, especially in pediatric patients. However, further research and clinical settings are still needed to validate our findings. [ABSTRACT FROM AUTHOR]

Coronary artery calcifications (CACs) are common among maintenance hemodialysis (MHD) patients and associated with increased morbidity and mortality due to cardiovascular events. The insight into chronic kidney disease‐mineral and bone disorder (CKD‐MBD) established a correlation between dysregulated mineral metabolism and CACs. This study aimed to identify the association of mineral content outside of bone (MCOB) with CACs and cardiovascular events in MHD patients. In the pilot prospective study with no intervention, patients underwent body composition assessment by body composition monitor after hemodialysis and computed tomography examination using the Agatston scoring method simultaneously within a week. The primary end point included cardiovascular events and cardiovascular death. Correlations and receiver operating characteristic analysis elucidated the associations of MCOB with CACs; multivariate analysis assessed the cardiovascular risk for groups with different MCOB. One hundred three eligible patients with an average age of 48 (35‐63) years old were enrolled and followed up to 12 (11‐12.5) months, among which 52.4% had detectable CACs at baseline. MCOB showed an inverse correlation with Agatston score and significantly discriminated the patients with Agatston score > 0 (AUC = 0.737; P < 0.001) and 400 (AUC = 0.733; P < 0.001). MCOB ≤ 9.2657 mg/kg was an independent risk factor for CACs (OR = 4.853; P = 0.044) and strong predictor for cardiovascular morbidity and mortality (HR = 10.108; P = 0.042), as well as rehospitalization (HR = 2.689; P = 0.004). MCOB inversely correlated with the presence and extent of CACs, and could discriminate Agatston score > 0 and 400, which also presented as an independent indicator for CKD‐MBD and 1‐year cardiovascular prognosis in adult MHD patients. Additional studies are required for identifying this issue. [ABSTRACT FROM AUTHOR]

Background: Blood pressure variability (BPV) is a potential prognostic predictor for all-cause mortality. Objectives: We conducted a retrospective cohort study to compare the prognostic value of long-term BPV with intra-dialytic BPV in hemodialysis (HD) patients. Materials and Methods: We included 611 HD patients and collected their baseline blood pressure (BP) measurements for 1 year and monitored them for 40 months. Long-term BPV was assessed by pre-dialysis BP SD and pre-dialysis absolute BP residual metric. Intra-dialytic BPV was assessed by intra-dialytic BP average real variability and intra-dialytic absolute BP residual. Results: Long-term systolic BPV showed a weak correlation with mean BP, but a stronger correlation with intra-dialytic BPV. High long-term systolic blood pressure (SBP) SD and long-term SBP residual metrics were associated with high all-cause mortality (p = 0.0084 and 0.0056, respectively), while no such association was found for intra-dialytic BPV or diastolic BPV. According to receiver operating characteristic curve with mortality as dependent variable, long-term SBP residual metric showed the strongest prognostic ability (area under curve [AUC] 0.679, p = 0.0006), which was even stronger in patients with BP ≥140/90 mm Hg (AUC 0.713, p = 0.0004). After completely adjusting for confounders, long-term SBP residual metric remained significantly associated with all-cause mortality (hazard ratio 1.628 per quartile; 95% CI 1.086–2.441). Conclusions: Our results suggest long-term SBP residual metric to be a better predictor of all-cause mortality in HD patients, which could be used as an additional target for BP management. [ABSTRACT FROM AUTHOR]