The red cell distribution width-to-albumin ratio: A simple index has high predictive accuracy for clinical outcomes in patients with acute pancreatitis.

BACKGROUND/OBJECTIVES: Ongoing research is seeking to identify the best prognostic marker for acute pancreatitis (AP). The purpose of this study was to investigate the role of the red blood cell distribution width-to-albumin ratio (RAR) in the prognosis of AP. METHODS: This 18-month prospective cohort study was conducted between June 2021 and December 2022 with patients diagnosed with AP. The patients were divided into two groups: severe AP (SAP) and non-severe AP. Factors associated with SAP within the first 48 h of admission were determined. In addition, RAR values at admission and at 48 h (RAR-48th) were calculated, and their ability to predict clinical outcomes was assessed. The primary outcomes were severe disease and in-hospital mortality. RESULTS: Fifty (13.7 %) of 365 patients had SAP. Systemic inflammatory response syndrome, blood urea nitrogen, calcium, and RAR at 48 h after admission were independent predictors of SAP. When RAR-48th was >4.35, the risk of SAP increased approximately 18-fold (OR: 18.59; 95 % CI: 8.58-40.27), whereas no patients with a RAR-48th value of <4.6 died. For in-hospital mortality, the area under the curve (AUC) value of RAR-48th was 0.960 (95 % CI: 0.931-0.989), significantly higher than the AUC values of existing scoring systems. The results of RAR-48th were comparable to those of the other scoring systems with regard to the remaining clinical outcomes. CONCLUSIONS: RAR-48th successfully predicted clinical outcomes, particularly in-hospital mortality. Being simple and readily calculable, RAR-48th is a promising alternative to burdensome and complex scoring systems for the prediction of clinical outcomes in AP.

Effects of Medium Cutoff Membranes on Pro-Inflammatory Cytokine and Oxidative Marker Levels in Patients with Sepsis Who Developed Acute Kidney Injury.

INTRODUCTION: There is insufficient data on the role of the medium cutoff (MCO) membranes in the clearance of pro-inflammatory cytokines and oxidant radicals in patients with sepsis requiring hemodialysis. METHODS: The study consisted of 38 septic patients who developed acute kidney injury (AKI) and who were scheduled to undergo 2 sessions of hemodialysis. Nineteen patients underwent their first dialysis session with the MCO membrane and 19 patients with the high-flux (HF) membrane. In the second session, the membranes were switched. Pro-inflammatory cytokine and oxidative marker levels were measured in blood samples obtained before and after both dialysis sessions. Reduction ratios were compared for the 2 types of hemodialysis membranes. RESULTS: After the first session, there was a greater reduction in tumor necrosis factor (TNF)-α with the MCO membrane (28.2 ± 21.1 vs. 8.0 ± 6.6, p = 0.001). After the second session, there was a greater reduction in interleukin (IL)-6 (27.8 ± 26.5 vs. 5.9 ± 13.3, p = 0.003) and IL-1ß (20.5 ± 21.1 vs. 4.0 ± 6.5, p = 0.004) with the MCO membrane. When the first and second sessions of all 38 patients were compared, the reductions in TNF-α, IL-6, and IL-1ß were consistently greater for MCO than HF (p = 0.001, p = 0.006, p < 0.001, respectively). The reductions in total antioxidant status, total oxidant status, and myeloperoxidase were not statistically different for the 2 types of dialysis membranes. CONCLUSIONS: MCO membrane was superior to HF membrane in the removal of cytokines in septic patients with AKI. However, a similar effect was not observed for oxidative stress markers.

May C-peptide index be a new marker to predict proteinuria in anemic patients with type 2 diabetes mellitus?

OBJECTIVE: C-peptide is a reliable marker of beta cell reserve and is associated with diabetic complications. Furthermore, HbA1c level is associated with micro- and macro-vascular complications in diabetic patients. HbA1c measurement of diabetic patients with anemia may be misleading because HbA1c is calculated in percent by taking reference to hemoglobin measurements. We hypothesized that there may be a relationship between C-peptide index (CPI) and proteinuria in anemic patients with type 2 diabetes mellitus (T2DM). Therefore, the aim of the present study was to investigate the association between C-peptide levels and CPI in anemic patients with T2DM and proteinuria. METHODS: The patients over 18 years of age with T2DM whose C-peptide levels were analyzed in Endocrinology and Internal medicine clinics between 2014 and 2018 with normal kidney functions (GFR>60 ml/min) and who do not use any insulin secretagogue oral antidiabetic agent (i.e. sulfonylurea) were enrolled into the study. RESULTS: Hemoglobin levels were present in 342 patients with T2DM. Among these 342 cases, 258 (75.4%) were non-anemic whereas 84 (24.6%) were anemic. The median DM duration of the anemic group was statistically significantly higher in T2DM (p=0.003). There was no statistically significant difference found in proteinuria prevalence between non-anemic and anemic patient groups (p=0.690 and p=0.748, respectively). Anemic T2DM cases were corrected according to the age, gender, and duration of DM. C-peptide and CPI levels were not statistically significant to predict proteinuria (p=0.449 and p=0.465, respectively). CONCLUSION: The present study sheds light to the association between C-peptide, CPI, and anemic diabetic nephropathy in T2DM patients and indicates that further prospective studies are needed to clarify this issue.

Improved outcomes in patients with non-variceal upper gastrointestinal bleeding while undergoing antithrombotic therapy: A propensity score matching analysis.

BACKGROUND: This study sought to examine the effect of antithrombotic use on clinical outcomes in non-variceal upper gastrointestinal bleeding (UGIB). METHODS: Patients consecutively diagnosed with non-variceal UGIB between February 2019 and September 2020 were divided into two groups based on their antithrombotic use: users and non-users. Using propensity score matching (PSM) and multivariable regression analyses, the impact of antithrombotic use prior to UGIB presentation on clinical outcomes was examined. RESULTS: In the entire cohort, there were 210 and 260 patients in the antithrombotic user and non-user groups, respectively. Using PSM analysis with seven covariates, two matched groups of 157 patients were created at a 1:1 ratio. In the matched cohort, despite their longer hospital stays and a higher rate of intensive care unit admissions, the patients in the user group had lower 30- and 90-day mortality rates (4.5% vs. 14.0 %; p = 0.003 and 8.9% vs. 18.5 %; p = 0.014, respectively). In the entire cohort, multivariable analyses adjusted for confounding factors revealed that antithrombotic use was associated with lower risks of in-hospital (adjusted OR: 0.437; 95 % CI: 0.191-0.999), 30-day (adjusted OR: 0.261; 95 % CI: 0.099-0.689), and 90-day (adjusted OR: 0.386; 95 % CI: 0.182-0.821) mortality. CONCLUSION: Antithrombotic use prior to UGIB presentation was found to be an independent protective factor for all-cause mortality.

Is eGFR ≥60 mL/min/1.73 m2 in Patients Undergoing Coronary Angiography Really Safe for Contrast Nephropathy?

The aim of the present study was to define the risk factors associated with contrast-induced acute kidney injury (CI-AKI) in patients who underwent coronary artery angiography (CAG). In this retrospective cohort study, patients who underwent CAG between March 2014 and January 2022 were evaluated. A total of 2923 eligible patients were included in the study. Univariate and multivariate logistic regression analysis was used to identify the predictive factors. CI-AKI developed in 77 (2.6%) of 2923 patients. In multivariate analysis, diabetes mellitus (DM), chronic kidney disease (CKD), and estimated glomerular filtration rate (eGFR) were found to be independent factors associated with CI-AKI. In the subgroup analysis of patients with eGFR ≥60 mL/min/1.73 m2, eGFR remained a predictor of CI-AKI (Odds ratio (OR): .89, 95% CI: .84-.93; that is, a lower eGFR remains a risk factor for CI-AKI). In the receiving operating characteristic (ROC) analysis of patients with eGFR ≥60 mL/min/1.73 m2, the area under the curve of the eGFR was .826. Using the ROC curve based on Youden's index, the eGFR cut-off was found to be 70 mL/min/1.73 m2 for patients with eGFR ≥60 mL/min/1.73 m2. eGFR is also an important risk factor in patients with eGFR 60-70 mL/min/1.73 m2.

Factors Predicting the Development of Necrosis in Patients Presenting With Edematous Acute Pancreatitis.

OBJECTIVES: There is no marker that can accurately predict the development of pancreatic necrosis in edematous acute pancreatitis (AP). This study aimed to investigate the factors associated with necrosis development in cases of edematous AP and to create an easy-to-use scoring system. METHODS: We retrospectively reviewed patients diagnosed with edematous AP between 2010 and 2021. Among the patients, those who were found to have developed necrosis during follow-up were categorized as the necrotizing group, whereas the others constituted the edematous group. RESULTS: With multivariate analysis, white blood cell, hematocrit, lactate dehydrogenase, and C-reactive protein levels at the 48th hour were revealed to be independent risk factors for necrosis. Using these 4 independent predictors, the Necrosis Development Score 48 (NDS-48) was derived. While the cutoff value was 2.5, the sensitivity and specificity of the NDS-48 for necrosis were 92.5% and 85.9%, respectively. The area under the curve value of the NDS-48 for necrosis was 0.949 (95% confidence interval, 0.920-0.977). CONCLUSIONS: White blood cell, hematocrit, lactate dehydrogenase, and C-reactive protein levels at the 48th hour are independent predictors of necrosis development. The NDS-48, a new scoring system created with these 4 predictors, satisfactorily predicted the development of necrosis.