Background: For critically ill patients with acute kidney injury (AKI), there remains controversy regarding the predictive factors affecting the discontinuation of continuous renal replacement therapy (CRRT). This study aims to explore factors associated with successful CRRT discontinuation in AKI patients and to develop predictive models for successful discontinuation.
Methods: We conducted a retrospective study on adult patients with AKI who received CRRT, sourced from the Medical Information Mart for Intensive Care (MIMIC-IV) database.
Objective: This study aims to compare the efficacy of the Age-adjusted Charlson Comorbidity Index (ACCI) and the Elixhauser-Van Walraven Comorbidity Index (ECI-VW) in predicting mortality risk among patients undergoing heart valve surgery.
Methods: Clinical data were extracted from the INSPIRE Database using R language. The Receiver Operating Characteristic (ROC) Curve was employed to assess the predictive accuracy of ACCI and ECI-VW for in-hospital all-cause mortality and post-surgical all-cause mortality at 7 and 28 days.
Background: The purpose of this study was to evaluate the accuracy of the lactate clearance rate (LCR) combined with the Acute Physiology and Chronic Health Evaluation II (APACHE II) score in the prediction of sepsis-associated acute kidney injury (SAKI).
Methods: Sepsis patients were divided into the SAKI group and non-SAKI group. Arterial blood lactate was collected at 0 h (before treatment), 2 h, 4 h, 6 h, and 8 h (after treatment), and the LCR was calculated.
Purpose: To investigate the role and related mechanisms of miR-106a in sepsis-induced AKI.
Methods: Serum from sepsis and healthy patients was collected, sepsis mouse model was established by cecal ligation and puncture (CLP). TCMK-1 cells were treated with lipopolysaccharide (LPS) and transfected with THBS2-small interfering RNA (siTHBS2), miR-106a inhibitor, miR-106a mimics and their negative controls (NCs).