Prognostic value of red blood cell distribution width combined with chloride in predicting short- and long-term mortality in critically ill patients with congestive heart failure: Findings from the MIMIC-IV database.

Background: Hypochloremia and red blood cell distribution width (RDW) play important roles in congestive heart failure (CHF) pathophysiology, and they were associated with the prognosis of CHF. However, the prognostic value of chloride combined with RDW in patients with CHF remains unknown. Methods: We retrospectively analyzed critically ill patients with CHF. The database was derived from the Medical Information Mart for Intensive Care IV v2.0 (MIMIC-IV-v2.0) database. Results: In the final analysis, 5376 critically ill patients with CHF were included, and 2428 patients (45.2 %) experienced 5-year mortality. The restricted cubic spline model revealed a positive correlation between RDW and 5-year mortality, whereas chloride showed a U-shaped correlation with 5-year mortality. The median values of RDW and chloride were used to classify patients into four groups: high chloride/low RDW, low chloride/low RDW, high chloride/high RDW, and low chloride/high RDW. We observed the prognostic value of RDW combined with chloride in the Cox proportional hazard model, in predicting 5-year mortality, in-hospital mortality and 1-year mortality. Furthermore, we discovered that patients with chronic kidney disease (CKD) had a higher 5-year mortality risk than patients without CKD. Conclusion: We found the translational potential role of chloride combined with RDW in prioritizing patients at high risk for short- and long-term mortality in a cohort of critically ill patients with CHF. Prospective multicenter investigations are warranted to validate our results.

Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database.

Background: Stress hyperglycemia ratio (SHR) was developed to reduce the impact of long-term chronic glycemic factors on stress hyperglycemia levels, which have been linked to clinical adverse events. However, the relationship between SHR and the short- and long-term prognoses of intensive care unit (ICU) patients remains unclear. Methods: We retrospectively analyzed 3,887 ICU patients (cohort 1) whose initial fasting blood glucose and hemoglobin A1c data within 24 hours of admission were available and 3,636 ICU patients (cohort 2) who were followed-up for 1-year using the Medical Information Mart for Intensive Care IV v2.0 database. Patients were divided into two groups based on the optimal cutoff value of SHR, which was determined using the receiver operating characteristic (ROC) curve. Results: There were 176 ICU deaths in cohort 1 and 378 patients experienced all-cause mortality during 1 year of follow-up in cohort 2. The results of logistic regression revealed that SHR was associated with ICU death (odds ratio 2.92 [95% confidence interval 2.14-3.97] P < 0.001), and non-diabetic patients rather than diabetic patients showed an increased risk of ICU death. As per the Cox proportional hazards model, the high SHR group experienced a higher incidence of 1-year all-cause mortality (hazard ratio 1.55 [95% confidence interval 1.26-1.90] P < 0.001). Moreover, SHR had an incremental effect on various illness scores in predicting ICU all-cause mortality. Conclusion: SHR is linked to ICU death and 1-year all-cause mortality in critically ill patients, and it has an incremental predictive value in different illness scores. Moreover, we found that non-diabetic patients, rather than diabetic patients, showed an increased risk of all-cause mortality.