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. 2024 Nov 28:15:1456884.
doi: 10.3389/fneur.2024.1456884. eCollection 2024.

Association between platelet-to-red cell distribution width ratio and all-cause mortality in critically ill patients with non-traumatic cerebral hemorrhage: a retrospective cohort study

Affiliations

Association between platelet-to-red cell distribution width ratio and all-cause mortality in critically ill patients with non-traumatic cerebral hemorrhage: a retrospective cohort study

Rongrong Lu et al. Front Neurol. .

Abstract

Background: The purpose of this study was to investigate the relationship between platelet-to-red cell distribution width ratio (PRR) and all-cause mortality in critically ill patients with non-traumatic cerebral hemorrhage (NCH).

Methods: The Medical Information Mart for Intensive Care (MIMIC-IV) database was used to identify patients with NCH who needed to be admitted to intensive care unit (ICU). The outcomes of the study included both ICU and in-hospital mortality. Restricted cubic splines and Cox proportional hazards regression analysis were used to clarify the relationship between PRR and clinical outcomes in critically ill patients with NCH.

Results: A total of 3,094 patients (54.0% male) were included in the study, with in-hospital mortality and ICU mortality rates of 16.5 and 11.8%, respectively. A substantial correlation was found by multivariate Cox proportional hazards analysis between increased PRR and a lower risk of in-hospital and ICU mortality. Following adjustment for confounding factors, patients with elevated PRR exhibited a significantly decreased risk of in-hospital death (HR, 0.98; 95% CI, 0.96-0.99; p = 0.006) and ICU death (HR, 0.98; 95% CI, 0.96-0.99; p = 0.027). As PRR increased, restrictive cubic splines showed a progressive decrease in the probability of all-cause mortality. Stratified analyses indicated a consistent association between PRR and both in-hospital and ICU mortality.

Conclusion: Among critically ill patients with NCH, lower PRR was substantially correlated with the increased probability of all-cause mortality in both the ICU and hospital. According to this research, PRR might be a valuable indicator for identifying NCH patients at risk of all-cause mortality.

Keywords: MIMIC-IV database; all-cause mortality; critically ill patients; non-traumatic cerebral hemorrhage; platelets to red cell distribution width ratio.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of the study cohort.
Figure 2
Figure 2
Restricted cubic spline curve for the PRR hazard ratio. Adjustment for age, gender, BMI, race, site, SBP, respiratory rate, temperature, SpO2, RBC, WBC, BUN, creatinine, FBG, sodium, potassium, INR, PT, PTT, congestive heart failure, respiratory failure, renal disease, sepsis, severe liver disease, CCI, OASIS, sofa score, GCS, long-term use of antiplatelet agents/anticoagulants. The red solid line and the light red shadow represent the estimated values and their corresponding 95% confidence intervals, respectively. (A) Restricted cubic spline for hospital mortality. (B) Restricted cubic spline for ICU mortality. HR, hazard ratio; CI, confidence interval; ICU, intensive care unit; PRR, platelet-to-red cell distribution width ratio.
Figure 3
Figure 3
Kaplan–Meier survival analysis curves for all-cause mortality. Kaplan–Meier curves showing cumulative probability of all-cause mortality according to groups at 30 days. (A,C) Kaplan–Meier survival analysis curves for hospital mortality. (B,D) Kaplan–Meier survival analysis curves for ICU mortality.
Figure 4
Figure 4
Forest plots of hazard ratios for the hospital mortality in different subgroups. HR, hazard ratio; CI, confidence interval; BMI, body mass index.
Figure 5
Figure 5
Forest plots of hazard ratios for the ICU mortality in different subgroups. HR, hazard ratio; CI, confidence interval; BMI, body mass index.

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