Dataset Information

Association between haemoglobin-to-red blood cell distribution width ratio at admission and all-cause mortality in adult patients with sepsis in an intensive care unit: a secondary analysis of the MIMIC-IV database.

ABSTRACT:

Objective

The association between haemoglobin-to-red blood cell distribution width ratio (HRR) and all-cause mortality remains poorly understood. This study aimed to examine the influence of HRR at the time of admission mortality over 1 year and 30 days in patients with sepsis.

Design

This was a secondary analysis.

Setting

This study was conducted in intensive care units (ICUs).

Participants

Adult patients with sepsis were identified and included from an intensive care database based on eligibility criteria.

Primary outcome and measure

The primary outcome was the rate of death within 1 year. The secondary outcome was the death rate within 30 days.

Results

A total of 4233 patients with sepsis who met the inclusion criteria were analysed, excluding those ineligible. These participants were divided into quartiles based on their HRR at admission. The overall mortality rates at 1 year and 30 days were 42.9% and 25.5%, respectively. A significant inverse association was observed between HRR quartiles and all-cause mortality (p<0.001). Pairwise comparisons using Kaplan-Meier analysis showed significant differences in 1-year mortality rates across the quartiles. However, no significant difference was detected in 30-day mortality between the Q3 and Q4 groups (p=0.222). Multivariate Cox regression analysis demonstrated that a higher HRR at ICU admission was independently associated with reduced mortality at 1 year (HR, 0.935; 95% CI 0.913 to 0.958; p<0.001) and 30 days (HR, 0.969; 95% CI 0.939 to 0.999; p=0.043). Furthermore, restricted cubic spline models indicated a non-linear relationship between HRR and mortality at both 1 year and 30 days (p<0.001 for both).

Conclusions

This retrospective analysis demonstrated that the HRR at the time of admission was a significant prognostic marker for long-term mortality in patients with sepsis.

SUBMITTER: Zhong L

PROVIDER: S-EPMC10982791 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Publications

Association between haemoglobin-to-red blood cell distribution width ratio at admission and all-cause mortality in adult patients with sepsis in an intensive care unit: a secondary analysis of the MIMIC-IV database.

Zhong Liping L Zhong Yuting Y Chen Weiming W Liang Fei F Liao Yilin Y Zhou Yuanjun Y

BMJ open 20240329 3

<h4>Objective</h4>The association between haemoglobin-to-red blood cell distribution width ratio (HRR) and all-cause mortality remains poorly understood. This study aimed to examine the influence of HRR at the time of admission mortality over 1 year and 30 days in patients with sepsis.<h4>Design</h4>This was a secondary analysis.<h4>Setting</h4>This study was conducted in intensive care units (ICUs).<h4>Participants</h4>Adult patients with sepsis were identified and included from an intensive ca ...[more]

PMID: 38553061

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Project description:BackgroundRed blood cell volume distribution width (RDW) and albumin (Alb) have been proved to be predictors of mortality in various diseases, such as acute pancreatitis (AP). However, until now the relationship between RDW to Alb ratio (RAR) and mortality in AP has not been fully elucidated. Therefore, this study aims to evaluate the relationship between RAR and all-cause mortality in AP.MethodPatients with AP in the Critical Care Medical Information Market (MIMIC-IV) database who met criteria were included in this retrospective study. Associated baseline data was obtained, cleaned and analyzed. Kaplan Meier (K-M) survival curve and Cox proportional hazards regression model were utilized to evaluate the relationship between RAR and all-cause mortality. Restricted Cubic Spline (RCS) was used for exploring how hazard ratio (HR) changes as RAR varied. Additionally, Receiver Operating Characteristic (ROC) analysis and subgroup analysis were conducted to assess the predictive value and to explore the significance of RAR in different populations.Results499 patients were included in this study. Survival curve showed that patients with RAR > 5.14 had higher mortality rate at 7-day (d), 14-d, 21-d, 28-d, 90-d, 180-d and 1-year (y). The univariate and multivariate Cox models revealed an independent association between high-level RAR and all-cause mortality at 28-d, 90-d and 1-y. RCS showed that RAR became a risk factor when exceeding 5.14. RAR only had linear relationship with mortality at 1-y after adjusting for the potential confounders. Subgroup analysis suggested that increased RAR caused higher risk of death in male, non-white people or those patients without respiratory failure (RF). ROC analysis indicated that compared with other parameters such as SOFA score, RAR exhibited higher efficiency in predicting in-hospital and all-cause mortality at 14-d, 21-d, 28-d, 90-d. Combined RAR with BISAP, RAR-modified BISAP showed superiority in predicting short-term mortality (28-d).ConclusionFor patients with AP in ICU, RAR has a strong association with short- and long-term prognosis. Especially, RAR is a promising indicator for short-term all-cause mortality in patients with AP. For males, non-white patients and those without RF, elevated RAR may be a more dangerous signal of mortality.

Project description:AimThe association between red cell distribution width-albumin ratio (RAR) and the risk of all-cause mortality in intensive care unit (ICU) patients with heart failure remains uncertain. This study aimed to investigate this association.MethodsClinical data from MIMIC-Ⅳ (version 2.2) database was utilized for the analysis of ICU patients with heart failure. Patients were categorized into quartiles (Q1-Q4) based on RAR levels. Kaplan-Meier survival analysis and multivariate adjusted Cox regression models were employed to assess the association between RAR levels and mortality outcomes within 1 year. Subgroup analysis was used to evaluate the prognostic impact of RAR across diverse populations. Restricted cubic spline curves and threshold effect analysis were utilized to quantify the dose-response relationship between RAR levels and mortality. The time-concordance index curve was carried out to explore the additional prognostic value of RAR on mortality over the existing scoring systems, Serial Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ).ResultsThe analysis encompassed a cohort of 4,506 patients, with Kaplan-Meier curves indicating that individuals with higher RAR levels exhibited an elevated risk of all-cause mortality (p < 0.001). Multivariate adjusted Cox regression and subgroup analysis demonstrated that individuals in Q2 [hazard ratio (HR) 1.15, 95%CI 0.98-1.34], Q3 (HR 1.65, 95%CI 1.39-1.96) and Q4 (HR 2.16, 95%CI 1.74-2.68) had an increased risk of mortality compared to individuals in Q1 (p for trend < 0.001), and this relationship was consistently observed across most subgroups, except for different ages. Subsequent analysis revealed that the inclusion of RAR significantly improved the prognostic value on the basis of SOFA and APACHE Ⅱ, and the concordance index increased from 0.636 to 0.658 for SOFA, from 0.682 to 0.695 for APACHE Ⅱ (p < 0.001 for both).ConclusionThe study found that high level of RAR was independently associated with an increased risk of 1-year all-cause mortality in ICU patients with heart failure, with a stronger effect in young and middle-aged patients and a threshold effect, which could potentially serve as an early warning indicator for high-risk populations.

Project description:AimPrognostic assessment plays an important role in the effective management of patients with spontaneous intracerebral hemorrhage (ICH). The study aimed to investigate whether elevated red cell distribution width-to-platelet ratio (RPR) at admission was related to 30-day death in patients with spontaneous intracerebral hemorrhage (ICH).MethodsThis retrospective cohort study included 2,823 adult patients with ICH from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) III and IV databases between 2001 and 2019. The Cox proportional hazard model was utilized to evaluate the relationship between RPR levels and 30-day death risk. The area under receiver-operating characteristic curve (AUC) was used to assess the predictive ability of RPR for 30-day death in patients with ICH.ResultsAt the end of the 30-day follow-up, 799 (28.30%) patients died, and the median RPR level was 0.066 (0.053, 0.087). After adjusting for confounders, the tertile 3 of RPR levels [hazard ratio (HR) = 1.37, 95% confidence interval (CI): 1.15-1.64] were associated with a higher risk of 30-day death in patients with ICH compared with tertile 1. In the stratified analyses, elevated RPR levels were found to be associated with an increased risk of 30-day death in patients aged <65 years (HR = 1.77, 95%CI: 1.29-2.43), aged ≥65 years (HR = 1.30, 95%CI: 1.05-1.61), with Glasgow Coma Score (GCS) <14 (HR = 1.65, 95%CI: 1.27-2.14), with Charlson comorbidity index (CCI) ≥4 (HR = 1.45, 95%CI: 1.17-1.80), with (HR = 1.66, 95%CI: 1.13-2.43) or without sepsis (HR = 1.32, 95%CI: 1.08-1.61), and female patients (HR = 1.75, 95%CI: 1.35-2.26) but not in male patients (P = 0.139) and patients with GCS ≥14 (P = 0.058) or CCI <4 (P = 0.188). The AUC for RPR to predict 30-day death in patients with ICH was 0.795 (95%CI: 0.763-0.828) in the testing set, indicating a good predictive ability.ConclusionElevated RPR levels were correlated with an increased risk of 30-day death in patients with ICH, and RPP levels showed good predictive ability for 30-day death.

Project description:The association between the red blood cell distribution width-platelet ratio (RPR) and mortality in heart failure patients remains unclear. We aimed to investigate the potential non-linear relationship between RPR and 1-year mortality risk. A retrospective cohort study was conducted involving 6982 participants from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Multivariable Cox regression and restricted cubic spline analyses were performed to evaluate the association between RPR and 1-year mortality, adjusting for potential confounders. We observed 1091 patients died in hospital and 2535 patients died during 1 year follow-up period. The prevalence or incidence of mortality did not show statistically significant differences among RPR groups in the overall study population. However, a positive association between RPR and the risk of mortality was noted after adjusting for multiple variables (HR = 1.38, 95 % CI = 1.06-1.81, P = 0.018). Analysis using restricted cubic splines indicated a U-shaped relationship between RPR levels and the risk of mortality (P nonlinearity <0.05), with the point of lowest risk at 0.104. Compared to this level, lower RPR (<0.104) was associated with increased mortality (HR = 0.046, 95 % CI: 0.004-0.546), as was higher RPR (>0.104) (HR = 2.656, 95 % CI: 1.692-4.170).This U-shaped association was consistent across subgroup analyses (all interaction P values > 0.05). RPR exhibits a U-shaped association with 1-year mortality in heart failure patients, suggesting both low and high RPR levels are linked to increased risk. RPR may serve as a relevant biomarker for risk stratification in this population. We incorporated RPR into the SOFA (AUC 0.731) and SAPS II (AUC 0.746) models, which significantly improved their predictive ability for in-hospital mortality. For 1-year mortality prediction, RPR + SAPS II (AUC 0.683) showed significantly improved accuracy, while RPR + SOFA (AUC 0.626) did not improve significantly.

Project description:BackgroundCreatinine-to-albumin ratio (CAR) has been recognized as a predictive indicator in the postoperative setting. However, its relationship with outcomes in patients receiving cardiac surgery remains elusive. This study aimed to discuss the link between CAR and 28-day mortality in patients admitted to intensive care unit (ICU) following cardiac surgery, hoping to provide some insights for targeted interventions for improvement of patient outcomes.MethodsMIMIC-IV database was searched to obtain data of patients admitted to ICU following cardiac surgery. Retrieved patients were split into three groups based on CAR levels. The 28-day ICU mortality in each group was evaluated and compared using Kaplan-Meier analysis. Subgroup analysis, multivariate Cox regression and restricted cubic spline (RCS) analysis were used to further examine the relationship between CAR and outcomes. Receiver operating characteristic (ROC) curves were used to assess the predictive ability of CAR. Mediation analysis was conducted to investigate the potential mechanism by which CAR affects 28-day ICU mortality.ResultsA total of 5,670 patients were included and divided into three groups. Patients with high CAR values (CAR ≥ 0.31) had a significantly increased rate of 28-day ICU mortality (11.4%), as compared to those with low CAR levels (CAR < 0.23, 1.83%). In addition, patients with high CAR values (CAR ≥ 0.31) had a lowest survival rate than the other two groups (p < 0.0001). ROC curve analysis showed that CAR exhibited a moderate predictive power (AUC = 0.748). Moreover, CAR was identified as a strong risk factor for 28-day ICU mortality, and a significant dose-response association was presented. Further subgroup analysis revealed pronounced mortality risks in females and patients without chronic conditions such as chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM). Mediation analysis indicated that CAR affected 28-day ICU mortality through biomarkers like chloride (39.8%), glucose (11.8%), potassium (24.4%), and sodium (28.3%).ConclusionCAR served as a risk factor for 28-day ICU mortality in patients receiving cardiac surgery, and it showed a complex dose-response and subgroup-specific association with 28-day ICU mortality. Additionally, CAR affected 28-day ICU mortality through multiple key biomarkers, providing some insights for targeted interventions.

Dataset Information

Association between haemoglobin-to-red blood cell distribution width ratio at admission and all-cause mortality in adult patients with sepsis in an intensive care unit: a secondary analysis of the MIMIC-IV database.

Objective

Design

Setting

Participants

Primary outcome and measure

Results

Conclusions

Publications

Association between haemoglobin-to-red blood cell distribution width ratio at admission and all-cause mortality in adult patients with sepsis in an intensive care unit: a secondary analysis of the MIMIC-IV database.

Similar Datasets

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