Red cell distribution width/albumin ratio and 90-day mortality after burn surgery

Association between RAR and the prevalence and prognosis of depression: A population-based study

BACKGROUND

Depression has become a significant public health issue. The red blood cell distribution width to albumin ratio (RAR) is regarded as a reliable marker of inflammation and nutritional status, yet the association between them remains unknown. Therefore, this study aims to evaluate the association between RAR and depression.

METHODS

28,737 participants were included in the National Health and Nutrition Examination Survey 2005-2018. The weighted multivariate logistic regression and Cox regression explored the relationship between RAR and the prevalence and mortality of depression. Restricted cubic spline (RCS) detected nonlinear relationships and threshold effects. The stratified analysis explored potential interaction variables.

RESULTS

In the cross-sectional study, 2519 participants (7.67 %) had depression. Weighted multivariate logistic regression showed RAR was independently associated depression (OR = 1.26, 95 % CI = 1.12, 1.42, P < 0.001). In the cohort study, there were 301 cases of all-cause mortality (9.94 %) in depression population, including 77 cases of cardiovascular mortality (2.66 %). Weighted multivariate Cox regression analysis presented that RAR was related to higher all-cause mortality (HR = 1.98, 95 % CI = 1.62, 2.42, P < 0.001) and cardiovascular mortality (HR = 1.73, 95 % CI = 1.19, 2.51, P = 0.004) in the depression population. Subgroup analysis showed that RAR was consistently related to the prevalence and mortality of depression across all subgroups (all P < 0.05). RCS revealed that the relationship between RAR and depression was nonlinear (P for nonlinear = 0.011), while the association between RAR and all-cause mortality was linear (P for nonlinear = 0.245).

CONCLUSIONS

RAR is significantly associated with the prevalence and prognosis of depression. Nevertheless, more investigation is required to elucidate the underlying processes.

Predictive Value of the Red Cell Distribution Width-To-Albumin Ratio for Clinical Outcomes in Patients With Peptic Ulcer Perforation

BACKGROUND

Peptic ulcer perforation is a potentially life-threatening complication of peptic ulcer disease. Several scoring systems have been developed to predict outcomes in these patients. The red cell distribution width-to-albumin ratio (RAR) has shown promise as a prognostic marker in various conditions, yet its role in peptic ulcer perforation remains unclear. This study aimed to evaluate the predictive value of RAR in patients with peptic ulcer perforation.

METHODS

This retrospective study was conducted between 2016 and 2024 on patients who underwent surgery for peptic ulcer perforation. Patient demographics, clinical features, laboratory values, and surgical outcomes were analyzed. The main outcomes were major postoperative complications and 30-day mortality. Multivariate regression analysis was used to identify independent predictors of these outcomes. The ability of RAR to predict outcomes was also assessed.

RESULTS

The study included 187 patients with a median age of 49.7 years, of whom 78.6% were males. Major complications occurred in 18.1% of the patients and the 30-day mortality rate was 9.6%. Multivariate analysis identified age, surgical delay, elevated C-reactive protein and RAR as independent predictors of major complications. For 30-day mortality, only age and RAR remained significant in the multivariate model. Receiver operating characteristic curve analysis showed that RAR had high diagnostic accuracy for predicting both major complications (AUC = 0.883) and mortality (AUC = 0.944).

CONCLUSION

With its high sensitivity and specificity for predicting major complications and mortality in patients with peptic ulcer perforation, RAR has significant potential as a prognostic marker in conjunction with traditional risk factors in clinical practice.

Frailty impacts all-cause mortality after endovascular abdominal aortic aneurysm repair: a retrospective cohort study

OBJECTIVE

This study aimed to evaluate the impact of frailty and inflammation on all-cause mortality in patients with abdominal aortic aneurysm (AAA) who underwent endovascular aneurysm repair (EVAR), and key risk factors were also explored.

METHODS

A retrospective analysis was conducted on 174 patients with AAA who underwent EVAR at Beijing Hospital between 2016 and 2024. Frailty was assessed using the modified five-item Frailty Index (mFI-5). Inflammation was quantified by the red cell distribution width-to-albumin ratio (RAR), a novel inflammatory marker. We examined the associations between frailty, preoperative risk factors, and mortality using Kaplan-Meier survival analysis and Cox proportional hazards models. Mediation analysis was performed to evaluate the role of RAR in the relationship between frailty and mortality.

RESULTS

Frailty was found to be an independent risk factor for all-cause mortality following EVAR (HR = 1.95, P = 0.048). Preoperative anemia (HR = 0.98, P = 0.032), elevated creatinine levels (HR = 1.01, P = 0.013), and prolonged operation time (HR = 1.01, P = 0.029) were also independent predictors of mortality. Kaplan-Meier survival analysis revealed significantly lower survival rates for frailty patients (P = 0.004). Additionally, RAR mediated 23.8% of the relationship between frailty and mortality (P = 0.012), underscoring its role as a key indicator of chronic inflammation.

CONCLUSIONS

Frailty and chronic inflammation, as measured by the innovative RAR marker, are significant contributors to mortality after EVAR. This study highlights the clinical utility of RAR in identifying high-risk AAA patients and its potential for guiding targeted preoperative interventions. Incorporating frailty assessments and inflammation monitoring into routine preoperative evaluations may improve patient outcomes by enabling personalized approaches such as nutritional optimization and inflammation control.

Association between red cell distribution width-albumin ratio and all-cause mortality in intensive care unit patients with heart failure

Aim

The 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.

Methods

Clinical 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).

Results

The 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).

Conclusion

The 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.

Red cell distribution width to albumin ratio is associated with asthma risk: a population-based study

Background

The red cell distribution width to albumin ratio (RAR), a newly identified biomarker of inflammation, has been linked to a variety of inflammatory diseases. Asthma, a major burden on global health, is an inflammatory airway disease that is profoundly affected by inflammation. This study primarily sought to examine the influence of RAR on the risk of developing asthma.

Methods

Data from 1999 to 2020 was gathered from the NHANES database. The impact of RAR on asthma risk and their non-linear relationship were clarified by multivariate logit and restricted cubic spline (RCS) analyses. Subgroup and interaction analyses collectively formed the sensitivity analysis for this study.

Results

This study was based on an analysis of 54,161 individuals. RAR has been identified as an independent risk factor for asthma, according to logit analysis. The moderate and high RAR groups had a 16% [95% confidence interval (CI): 1.06-1.27] and 43% (95% CI: 1.30-1.58) higher risk, respectively, compared to the lowest group. Every 0.5 unit increase in RAR almost doubled the risk of asthma [odds ratio (OR): 1.82, 95% CI: 1.55-2.12]. There was no non-linear relationship between RAR and asthma risk, based on RCS analysis. Combining subgroup and interaction analyses results, all subgroups in this study showed consistent trends with the overall population.

Conclusion

Notably, this article, the first to examine the relationship between RAR and asthma risk, unveiled a positive linear correlation between them. With an increase in RAR, whether analyzed as a categorical or continuous variable, asthma risk significantly increases. This finding was beneficial for clinicians to anticipate and assess the onset of asthma through stratified or dynamic management. Given RAR's numerous advantages, its application in clinical settings held considerable promise.

Association of red blood cell distribution width-albumin ratio with in-hospital mortality in abdominal aortic aneurysm patients

To explore whether red blood cell distribution width-albumin ratio (RAR) is relevant to in-hospital mortality among abdominal aortic aneurysm (AAA). This is a retrospective study retrieving data from the MIMIC-IV database. Patients were divided into survivor or non-survivor groups by the in-hospital mortality. Receiver operating characteristic curve analysis, logistic regression models, subgroup analysis, interaction analysis, and restricted cubic spline analysis were conducted to analyze the correlation between RAR and in-hospital mortality. Then, we divided patients into 2 groups by an optimal cutoff value of RAR to identify the factors independently linked to RAR. Following this, the mediation analysis was conducted to reveal the potential regulatory path. Finally, we assessed the clinical value of RAR in secondary outcomes containing length of hospital stay, intensive care unit (ICU) admission, and ICU stay. Totally 770 participants with AAA were enrolled: 722 survivors and 48 non-survivors. Higher RAR was observed in the non-survivor group and its level performed satisfactorily in predicting in-hospital mortality. AAA patients were more likely to die during in-hospital with the increase of RAR (P < .05) and this linear correlation was revealed by restricted cubic spline (P non-linear > .05). Additionally, urea nitrogen and creatinine were independently related to RAR. RAR served as a mediator in the association of urea nitrogen/creatinine with in-hospital mortality. Finally, the length of hospital stay and ICU stay were longer in the RAR ≥ 4.658 group (P < .05). RAR is a potential risk predictor for in-hospital mortality in AAA patients. Further, RAR upregulation was significantly correlated with prolonged length of hospital stay and ICU stay.

Ratio of red blood cell distribution width to albumin level and risk of mortality in sarcopenic obesity

The aim of this study was to investigate the relationship between red blood cell distribution width and albumin ratio (RAR) levels and mortality in adult patients with sarcopenic obesity in the United States. The study included 1,361 adult patients with sarcopenic obesity from the National Health and Nutrition Examination Survey (1999-2006). The X-tile was used to determine the optimal subgroup thresholds for RAR values, and propensity score matching (PSM) was employed to reduce baseline bias. Cox regression analysis, Kaplan-Meier survival curves, and restricted cubic spline analysis were utilized to assess the relationship between RAR levels and all-cause and cardiovascular mortality. Subgroup analysis and the Subpopulation Treatment Effect Pattern Plot were employed to determine survival advantages across different subgroups. Time-dependent ROC analysis to evaluate the accuracy of RAR level in predicting survival outcomes at different time points. Post-PSM multifactorial Cox regression analyses revealed that RAR was a significant independent predictor of all-cause mortality (HR 1.487, 95% CI: 1.259-1.756) and an independent risk factor for cardiovascular mortality (HR 1.487, 95% CI: 1.260-1.758) in patients with sarcopenic obesity. The survival advantage was consistent across subgroups. Restricted cubic spline analysis indicated an approximate S-shaped association between RAR levels and mortality. Time-dependent ROC curves demonstrate that the areas under the all-cause mortality curves at the RAR level for 1-year, 3-year, 5-year, and 10-year are 0.79, 0.66, 0.64, and 0.63, respectively. The areas under the cardiovascular mortality curve are 0.80, 0.70, 0.66, and 0.61, respectively. Moreover, in comparison to the baseline model lacking covariates, the AUC values of the joint model exhibited heightened levels at various time points. Therefore, We demonstrated that the RAR level is an independent prognostic factor for mortality risk in the American population with sarcopenic obesity, and it is reasonable to consider the RAR level as a simple and effective risk prediction tool.

Red cell distribution width/albumin ratio as a marker for metabolic syndrome: findings from a cross-sectional study

BACKGROUND

Metabolic syndrome (MetS) imposes a significant health burden on patients globally. Chronic low-grade inflammation is pivotal in the onset and progression of this condition. However, the role of the novel inflammatory marker, red cell distribution width to albumin ratio (RAR), in the development of MetS remains unclear.

METHODS

This population-based cross-sectional study utilized data from the 2011-2020 National Health and Nutrition Examination Survey (NHANES). Participants included individuals over 18 years old with complete data on serum albumin concentration, red cell distribution, and MetS and its components. MetS was defined using the criteria established by the National Cholesterol Education Program Adult Treatment Panel III. The calculation formula for RAR is: RAR = Red cell distribution width (%)/serum albumin (g/dL). Study participants were stratified into four quartiles based on RAR levels. Logistic regression analysis and subgroup analysis were employed to explore the independent interaction between RAR and MetS, as well as investigate the relationship between RAR levels and the specific components of MetS. Finally, the receiver operating characteristic (ROC) curve was used to assess the predictive efficacy of RAR for MetS.

RESULTS

A total of 4899 participants were included in this study, comprising 2450 males and 2449 females; 1715 individuals (35.01%) were diagnosed with MetS. As the quartile of RAR increased, the proportion of individuals with MetS also increased. Spearman correlation analysis indicated a positive correlation between RAR and the insulin resistance index HOMA-IR. Logistic regression analysis, adjusting for multiple confounding factors, showed that each standard deviation increase in RAR was associated with a significant 1.665-fold increase (95% CI, 1.404-1.975; P < 0.001) in the odds of MetS prevalence. In logistic regression analysis stratified by quartiles of RAR, the risks of MetS in Q1-Q4 were 1.372 (95% CI, 1.105-1.704; P = 0.004), 1.783 (95% CI, 1.434-2.216; P < 0.001), and 2.173 (95% CI, 1.729-2.732; P < 0.001), respectively. Subgroup analyses and interaction tests demonstrated that gender, age, race, education, smoking status, and physical activity modified the positive association between RAR and MetS (p for interaction < 0.05). Additionally, analysis of the area under the receiver operating characteristic (ROC) curve showed that the optimal cutoff value for predicting MetS using RAR was 3.1348 (sensitivity: 59.9%; specificity: 60.6%; and AUC: 0.628).

CONCLUSIONS

Increasing RAR levels are associated with a higher risk of MetS. Therefore, greater attention should be given to patients with high RAR levels for improved prevention and treatment of MetS.

Red cell distribution width-to-albumin ratio is a simple promising prognostic marker in acute cholangitis requiring biliary drainage

BACKGROUND

It is crucial to assess the severity of acute cholangitis (AC). There are currently several prognostic markers. However, the accuracies of these markers are not satisfied. The present study aimed to investigate the predictive value of the red cell distribution width (RDW)-to-albumin ratio (RAR) for the prognosis of AC.

METHODS

We retrospectively evaluated consecutive patients diagnosed with AC between May 2019 and March 2022. RAR was calculated, and its predictive ability for in-hospital mortality, intensive care unit (ICU) admission, bacteremia, and the length of hospitalization were analyzed.

RESULTS

Out of 438 patients, 34 (7.8%) died. Multivariate analysis showed that malignant etiology [odds ratio (OR) = 4.816, 95% confidence interval (CI): 1.936-11.980], creatinine (OR = 1.649, 95% CI: 1.095-2.484), and RAR (OR = 2.064, 95% CI: 1.494-2.851) were independent risk factors for mortality. When adjusted for relevant covariates, including age, sex, malignant etiology, Tokyo severity grading (TSG), Charlson comorbidity index, and creatinine, RAR significantly predicted mortality (adjusted OR = 1.833, 95% CI: 1.280-2.624). When the cut-off of RAR was set to 3.8, its sensitivity and specificity for mortality were 94.1% and 56.7%, respectively. Patients with an RAR of > 3.8 had a 20.9-fold (OR = 20.9, 95% CI: 4.9-88.6) greater risk of mortality than the remaining patients. The area under the curve value of RAR for mortality was 0.835 (95% CI: 0.770-0.901), which was significantly higher than that of TSG and the other prognostic markers, such as C-reactive protein-to-albumin ratio, and procalcitonin-to-albumin ratio. Lastly, RAR was not inferior to TSG in predicting ICU admission, bacteremia, and the length of hospitalization.

CONCLUSIONS

RAR successfully predicted the in-hospital mortality, ICU admission, bacteremia, and the length of hospitalization of patients with AC, especially in-hospital mortality. RAR is a promising marker that is more convenient than TSG and other prognostic markers for predicting the prognosis of patients with AC.

A Novel Inflammatory Marker: Relationship Between Red Cell Distribution Width/Albumin Ratio and Vascular Complications in Patients with Type 2 Diabetes Mellitus

Purpose

To explore the relationship between Red cell distribution width/albumin ratio (RAR) and vascular complications, including atherosclerosis of the lower limbs, diabetic nephropathy(DN), and diabetic retinopathy(DR), in patients with type 2 diabetes mellitus(T2DM).

Patients and Methods

The study included 427 patients with type 2 diabetes mellitus who were hospitalized in the Department of Endocrinology of the First Affiliated Hospital of Jinan University (Guangzhou, China) between April 1, 2022 and May 31, 2023. Baseline characteristics were displayed according to the quartiles of the RAR. Logistic regression analysis and receiver operating characteristic curves (ROC) were used to analyze the data.

Results

After adjusting for confounders, a higher RAR quartile(the fourth quartile) was associated with an increased risk of atherosclerosis of the lower limbs(OR: 2.973, 95% CI 1.281-6.906, p = 0.011), and diabetic nephropathy(OR: 2.876, 95% CI 1.315-6.287, p = 0.008) compared to the lowest RAR quartile. The patients were further divided into two groups according to urinary albumin to creatinine ratio (UACR≥30mg/g and UACR < 30mg/g) and Glomerular Filtration Rate (eGFR<60 mL·min⁻¹ (1.73 m²) ⁻¹ and eGFR≥60 mL·min⁻¹ (1.73 m²) ⁻¹). Similar results were observed. However, We found that RAR quartile did not significantly increase the likelihood of developing diabetic retinopathy(OR: 1.183, 95% CI 0.633-2.211, p = 0.598).

Conclusion

The RAR ratio is associated with an increased risk of atherosclerosis of the lower limbs and diabetic nephropathy in patients with T2DM. The RAR ratio may be an important clinical marker of vascular complications in T2DM.

Geriatric Nutritional Risk Index and 30-Day Postoperative Mortality in Geriatric Burn Patients

INTRODUCTION

The geriatric nutritional risk index (GNRI) can easily identify malnutrition-associated morbidity and mortality. We investigated the association between preoperative GNRI and 30-d mortality in geriatric burn patients who underwent surgery.

METHODS

The study involved geriatric burn patients (aged ≥ 65 y) who underwent burn surgery between 2012 and 2022. The GNRI was computed using the following formula: 1.489 × serum albumin concentration (mg/L) + 41.7 × patient body weight/ideal body weight. Patients were dichotomized into the high GNRI (≥ 82) and low GNRI (< 82) groups. GNRI was evaluated as an independent predictor of 30-d postoperative mortality. The study also evaluated the association between GNRI and sepsis, the need for continuous renal replacement therapy (CRRT), major adverse cardiac events (MACE), and pneumonia.

RESULTS

Out of 270 patients, 128 (47.4%) had low GNRI (< 82). Multivariate Cox regression analysis revealed that low GNRI was significantly associated with 30-d postoperative mortality (hazard ratio: 1.874, 95% confidence interval [CI]: 1.146-3.066, P = 0.001). Kaplan-Meier analysis revealed that the 30-day mortality rate differed significantly between the low and high GNRI groups (log-rank test, P < 0.001). The 30-d postoperative mortality (hazard ratio: 2.677, 95% CI: 1.536-4.667, P < 0.001) and the incidence of sepsis (odds ratio [OR]: 2.137, 95% CI: 1.307-3.494, P = 0.004), need for CRRT (OR: 1.919, 95% CI: 1.101-3.344, P = 0.025), MACE (OR: 1.680, 95% CI: 1.018-2.773, P = 0.043), and pneumonia (OR: 1.678, 95% CI: 1.019-2.764, P = 0.044), were significantly higher in the low GNRI group than in the high GNRI group.

CONCLUSIONS

Preoperative low GNRI was associated with increased 30-d postoperative mortality, sepsis, need for CRRT, MACE, and pneumonia in geriatric burn patients.

Red blood cell distribution width to albumin ratio associates with prevalence and long-term diabetes mellitus prognosis: an overview of NHANES 1999-2020 data

Background

Erythrocyte dysfunction is a characteristic of diabetes mellitus (DM). However, erythrocyte-associated biomarkers do not adequately explain the high prevalence of DM. Here, we describe red blood cell distribution width to albumin ratio (RAR) as a novel inflammatory biomarker for evaluating an association with DM prevalence and prognosis of all-cause mortality.

Methods

Data analyzed in this study were extracted from the National Health and Nutrition Examination Survey (NHANES) 1999-2020. A total of 40,558 participants (non-DM and DM) were enrolled in the study; RAR quartiles were calibrated at Q1 [2.02,2.82] mL/g, Q2 (2.82,3.05] mL/g, Q3 (3.05,3.38] mL/g, and Q4 (3.38,12.08] mL/g. A total of 8,482 DM patients were followed (for a median of 84 months), of whom 2,411 died and 6,071 survived. The prevalence and prognosis associated with RAR and DM were analyzed; age and sex were stratified to analyze the prevalence of RAR in DM and the sensitivity of long-term prognosis.

Results

Among non-DM (n=30,404) and DM (n=10,154) volunteers, DM prevalence in RAR quartiles was 8.23%, 15.20%, 23.92%, and 36.39%. The multivariable odds ratio (OR) was significant for RAR regarding DM, at 1.68 (95% CI 1.42, 1.98). Considering Q1 as a foundation, the Q4 OR was 2.57 (95% CI 2.11, 3.13). The percentages of DM morbidity varied across RAR quartiles for dead (n=2,411) and surviving (n=6,071) DM patients. Specifically, RAR quartile mortality ratios were 20.31%, 24.24%, 22.65%, and 29.99% (P<0.0001). The multivariable hazard ratio (HR) for RAR was 1.80 (95% CI 1.57, 2.05). Considering Q1 as a foundation, the Q4 HR was 2.59 (95% CI 2.18, 3.09) after adjusting for confounding factors. Sensitivity analysis revealed the HR of male DM patients to be 2.27 (95% CI 1.95, 2.64), higher than females 1.56 (95% CI 1.31, 1.85). DM patients who were 60 years of age or younger had a higher HR of 2.08 (95% CI1.61, 2.70) as compared to those older than 60 years, who had an HR of 1.69 (95% CI 1.47, 1.94). The HR of RAR in DM patients was optimized by a restricted cubic spline (RCS) model; 3.22 was determined to be the inflection point of an inverse L-curve. DM patients with a RAR >3.22 mL/g suffered shorter survival and higher mortality as compared to those with RAR ≤3.22 mL/g. OR and HR RAR values were much higher than those of regular red blood cell distribution width.

Conclusions

The predictive value of RAR is more accurate than that of RDW for projecting DM prevalence, while RAR, a DM risk factor, has long-term prognostic power for the condition. Survival time was found to be reduced as RAR increased for those aged ≤60 years among female DM patients.

Association between red cell distribution width/serum albumin ratio and diabetic kidney disease

BACKGROUND

Previous studies have shown that the red cell distribution width (RDW)/serum albumin ratio (RA) is an integrative and new inflammatory marker. RA is associated with clinical outcomes in a variety of diseases, but the clinical value of RDW/RA in the assessment of diabetic kidney disease (DKD) has not been elucidated. We examined the link between diabetic RA and DKD while controlling for a wide variety of possible confounders.

METHODS

Retrospective cohort analysis of the National Health and Nutrition Examination Survey (NHANES: 2009-2018) database from the Second Affiliated Hospital and Yuying Children's Hospital and the Wenzhou Medical University (WMU) database was conducted. Multivariate logistic regression analysis was used to assess the association between RA and DKD.

RESULTS

Overall, 4513 diabetic patients from the NHANES database (n = 2839) and the WMU (n = 1412) were included in this study; 974 patients were diagnosed with DKD in NHANES and 462 in WMU. In the NHANES cohort, diabetes mellitus (DM) patients with higher RA level had a higher risk of DKD (odds ratio = 1.461, 95% confidence interval: 1.250-1.707, p < 0.00001). After adjusting for confounders and propensity score-matched (PSM) analysis, both shown RA levels were independently linked to DKD (pAdjust = 0.00994, pPSM = 0.02889). Similar results were also observed in the WMU cohort (p < 0.00001).

CONCLUSIONS

The study observes that the RA was an independent predictor of DKD in DM patients. The RA, a biomarker that is cost-effective and easy-to-access, may have potential for risk stratification of DKD.

Prognostic value of red blood cell distribution width to albumin ratio for predicting mortality in adult patients meeting sepsis-3 criteria in intensive care units

BACKGROUND

Patients with sepsis with low albumin levels and high red blood cell distribution width levels have poor prognoses. Red blood cell distribution width to albumin ratio (RAR) has recently attracted attention as an innovative inflammation biomarker. We aimed to explore the association between RAR and the prognosis of patients with sepsis.

METHODS

This retrospective observational study included 402 patients meeting the sepsis-3 standards admitted to Yantai Yuhuangding Hospital's intensive care units (ICUs) between January 2020 and December 2022. The relationship between RAR and mortality in patients with sepsis was examined using regression analysis, Kaplan-Meier analyses, and a receiver operating characteristic curve. Subgroup and sensitivity analyses were conducted to assess the results' robustness.

RESULTS

RAR, when considered as a continuous variable, was a significant independent in-hospital mortality risk factor (adjusted odds ratio [OR]: 1.383; 95% confidence interval [CI]: 1.164-1.645; P < 0.001). When considering RAR as a categorical variable, the ORs (95% CIs) of hospital mortality for quartile 2 (Q2), Q3, and Q4 compared with Q1 were 1.027 (0.413-2.551), 3.632 (1.579-8.354), and 4.175 (1.625-10.729), respectively, P < 0.001. Similar outcomes were observed for 28- and 90-day mortalities.

CONCLUSIONS

RAR may indicate clinical prognosis for patients with sepsis in the ICU, potentially providing a low-cost, easily repeatable, and accessible biomarker for risk categorization for these patients.

Ratio of Red Blood Cell Distribution Width to Albumin Level and Risk of Mortality

Importance

The ratio of red blood cell distribution width (RDW) to albumin concentration (RAR) has emerged as a reliable prognostic marker for mortality in patients with various diseases. However, whether RAR is associated with mortality in the general population remains unknown.

Objectives

To explore whether RAR is associated with all-cause and cause-specific mortality and to elucidate their dose-response association.

Design, Setting, and Participants

This population-based prospective cohort study used data from participants in the 1998-2018 US National Health and Nutrition Examination Survey (NHANES) and from the UK Biobank with baseline information provided from 2006 to 2010. Included participants had complete data on serum albumin concentration, RDW, and cause of death. The NHANES data were linked to the National Death Index records through December 31, 2019. For the UK Biobank, dates and causes of death were obtained from the National Health Service Information Centre (England and Wales) and the National Health Service Central Register Scotland (Scotland) to November 30, 2022.

Main Outcomes and Measures

Potential associations between RAR and the risk of all-cause and cause-specific mortality were evaluated using Cox proportional hazards regression models. Restricted cubic spline regressions were applied to estimate possible nonlinear associations.

Results

In NHANES, 50 622 participants 18 years of age or older years were included (mean [SD] age, 48.6 [18.7] years; 26 136 [51.6%] female), and their mean (SD) RAR was 3.15 (0.51). In the UK Biobank, 418 950 participants 37 years of age or older (mean [SD], 56.6 [8.1] years; 225 038 [53.7%] female) were included, and their mean RAR (SD) was 2.99 (0.31). The NHANES documented 7590 deaths over a median (IQR) follow-up of 9.4 (5.1-14.2) years, and the UK Biobank documented 36 793 deaths over a median (IQR) follow-up of 13.8 (13.0-14.5) years. According to the multivariate analysis, elevated RAR was significantly associated with greater risk of all-cause mortality (NHANES: hazard ratio [HR], 1.83 [95% CI, 1.76-1.90]; UK Biobank: HR, 2.08 [95% CI, 2.03-2.13]), as well as mortality due to malignant neoplasm (NHANES: HR, 1.89 [95% CI, 1.73-2.07]; UK Biobank: HR, 1.93 [95% CI, 1.86-2.00]), heart disease (NHANES: HR, 1.88 [95% CI, 1.74-2.03]; UK Biobank: HR, 2.42 [95% CI, 2.29-2.57]), cerebrovascular disease (NHANES: HR, 1.35 [95% CI, 1.07-1.69]; UK Biobank: HR, 2.15 [95% CI, 1.91-2.42]), respiratory disease (NHANES: HR, 1.99 [95% CI, 1.68-2.35]; UK Biobank: HR, 2.96 [95% CI, 2.78-3.15]), diabetes (NHANES: HR, 1.55 [95% CI, 1.27-1.90]; UK Biobank: HR, 2.83 [95% CI, 2.35-3.40]), and other causes of mortality (NHANES: HR, 1.97 [95% CI, 1.86-2.08]; UK Biobank: HR, 2.40 [95% CI, 2.30-2.50]) in both cohorts. Additionally, a nonlinear association was observed between RAR levels and all-cause mortality in both cohorts.

Conclusions and Relevance

In this cohort study, a higher baseline RAR was associated with an increased risk of all-cause and cause-specific mortality in the general population. These findings suggest that RAR may be a simple, reliable, and inexpensive indicator for identifying individuals at high risk of mortality in clinical practice.

Red cell distribution width-to-albumin ratio is a predictor of survival in hepatitis B virus-associated decompensated cirrhosis

OBJECTIVE

The aim of this study was to ascertain whether red cell distribution width-to-albumin ratio (RAR) is associated with survival in hepatitis B virus (HBV)-associated decompensated cirrhosis (DC) patients.

METHODS

A cohort of 167 patients with confirmed HBV-DC was enrolled in our study. Demographic characteristics and laboratory data were obtained. The main endpoint was mortality at 30 days. The receiver operating characteristic curve and multivariable regression analysis were used to assess the power of RAR for predicting prognosis.

RESULTS

Mortality at 30 days was 11.4% (19/167). The RAR levels were higher in the nonsurvivors than the survivors, and elevated RAR levels were clearly associated with poor prognosis. Moreover, the predictive powers of RAR and Model for End-Stage Liver Disease score were not obviously different.

CONCLUSION

Our data indicate that RAR is a novel potential prognostic biomarker of mortality in HBV-DC.

Chart-Derived Frailty Index and 90-Day Mortality After Burn Surgery

INTRODUCTION

Frailty is a reduced physiological reserve condition associated with postoperative morbidity and mortality. The chart-derived frailty index (CFI) can measure frailty using demographic and laboratory values. We evaluated the association of preoperative CFI with 90-d mortality after burn surgery.

METHODS

This large retrospective study included burn intensive care unit (ICU) patients between 2012 and 2021 and calculated CFI using the sum of the following five variables: age >70 y, body mass index <18.5 kg/m2, hematocrit <35%, albumin <3.4 g/dL, and creatinine >2.0 mg/dL; high CFI was a score of 3-5. Postoperative 90-d mortality rate, major adverse cardiac events (MACE), pneumonia, continuous renal replacement therapy (CRRT) requirement, and prolonged ICU stay (>60 d) were evaluated.

RESULTS

Of 1118 patients, 147 (13.1%) had high CFI. High CFI patients had a higher 90-d mortality rate than did low CFI patients (38.8% versus 22.6%, P < 0.001). A high CFI was significantly associated with postoperative 90-d mortality (hazard ratio = 4.124, 95% confidence interval = 2.980-5.707, P < 0.001) in multivariate Cox regression analysis. Kaplan-Meier analysis revealed significantly different postoperative 90-d mortality rates between patients with high and low CFIs (log-rank test, P < 0.001). Incidences of postoperative MACE, pneumonia, the need for CRRT, and prolonged ICU stay were significantly higher in patients with high CFIs than in those with low CFIs.

CONCLUSIONS

Preoperative high CFI was associated with increased 90-d mortality, MACE, pneumonia, CRRT requirement, and ICU stay following burn surgery.

Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy

PURPOSE

This study aims to develop a machine learning-based model for predicting mortality risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians with an accurate prognostic tool to guide individualized treatment.

METHODS

We collected clinical data from clinical databases (MIMIC IV and eICU-CRD) of epilepsy patients 24 h after ICU admission. The clinical characteristics of ICU patients with epilepsy were carefully feature selected and processed. MIMIC IV as the training set and eICU-CRD database as the test set. Six models were developed and validated, and the best LightGBM model was selected by performance comparison and analysed for interpretability.

RESULTS

The final cohort comprised 429 patients for training and 1217 for testing. The training set exhibited a 90-day mortality rate of 9.32 %, and the test set had an in-hospital 90-day mortality rate of 4.10 %. Utilizing the LightGBM model, we achieved an AUC of 0.956 in the training set. External validation demonstrated promising results with accuracy of 0.898, precision of 0.975, AUC of 0.781, F1 score of 0.945, highlighting the model's potential for guiding clinical decision-making. Significant factors influencing model performance included the severity of illness, as measured by the OASIS score, and clinical parameters like heart rate and body temperature.

CONCLUSION

This study introduces a machine learning-based approach to predict mortality risk in ICU epilepsy patients, offering a valuable tool for clinicians to identify high-risk individuals and devise personalized treatment strategies, thus improving patient prognosis and treatment outcomes.

Association between red cell distribution width to albumin ratio and acute kidney injury in patients with sepsis: a MIMIC population-based study

PURPOSE

To investigate the association between red cell distribution width (RDW) to albumin (ALB) ratio and acute kidney injury (AKI) in sepsis.

METHODS

This was a retrospective cohort study. Data were collected from the Medical Information Mart for Intensive Care Database IV (MIMIC-IV) from 2008 to 2019. The incidence of AKI was the primary outcome, which was defined based on the improving Global Outcomes (KDIGO). The association of RDW/ALB ratio with AKI in sepsis was assessed by multivariate logistic regression analysis using relative risk (RR) and a 95% confidence interval (CI). Subgroup group analyses were applied according to age, use of ventilation, and use of vasopressor, SAPS II, and SOFA.

RESULTS

Of 1810 sepsis patients involved in this study, 563 (31.10%) sepsis patients developed AKI after ICU admission. The results suggested an increase in RDW/ALB was associated with a rise in the risk of AKI in sepsis (RR 1.09, 95% CI 1.02 to 1.16, P = 0.013).Based on the subgroup analysis, RDW/ALB ratio was significantly associated with the risk of AKI in sepsis patients using the treatment of ventilation (RR: 1.07, 95% CI 1.01 to 1.14, P = 0.041)) and in patients with SAPS II < 43 (RR: 1.16, 95% CI 1.04 to 1.29, P = 0.007).

CONCLUSION

RDW/ALB ratio was independently associated with the risk of AKI in sepsis patients.

The correlation between red cell distribution width to albumin ratio and all-cause mortality in critically ill patients with rheumatic diseases: a population-based retrospective study

Background

Patients with rheumatic diseases have an increased likelihood of being admitted to the intensive care unit (ICU), highlighting the importance of promptly identifying high-risk individuals to enhance prognosis. This study aimed to assess the correlation of red blood cell distribution width to albumin ratio (RAR) with the 90-days and 360-days survival rates among critically ill rheumatic patients.

Methods

Adult rheumatic patients admitted to the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were included. The participants were categorized into two groups, survivors (n = 436) and non-survivors (n = 192), based on their 90-days survival outcome. The population was further classified into tertiles using RAR values, with RAR < 4.63 (n = 208), 4.63-6.07 (n = 211), and > 6.07 (n = 209). Kaplan-Meier curves were utilized to evaluate the cumulative survival rates at 90-days and 360-days. The association between RAR and mortality was assessed using restricted cubic splines (RCS) and multivariate Cox regression analysis. Additional subgroup analyses and sensitivity analyses were conducted to further explore the findings. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive performance of RAR.

Results

This study involved 628 critically ill patients with rheumatic diseases, and they had an all-cause mortality of 30.57% at 90-days and 38.69% at 360-days. Kaplan-Meier analysis showed a gradual decrease in both 90-days and 360-days cumulative survival with increasing RAR (χ2 = 24.400, p < 0.001; χ2 = 35.360, p < 0.001). RCS revealed that RAR was linearly related to 90-days and 360-days all-cause mortality risk for critically ill patients with rheumatic diseases (χ2 = 4.360, p = 0.225; χ2 = 1.900, p = 0.594). Cox regression analysis indicated that elevated RAR (> 6.07) was significantly correlated with mortality. The ROC curves demonstrated that an optimal cut-off value of RAR for predicting 90-days mortality was determined to be 5.453, yielding a sensitivity of 61.5% and specificity of 60.3%.

Conclusion

Elevated RAR (> 6.07) was associated with all-cause mortality at 90-days and 360-days among critically ill patients with rheumatic diseases, serving as an independent risk factor for unfavorable prognosis.

Predictors of one-year mortality following hip fracture surgery in elderly

Background

Understanding mortality risk factors is critical to reducing mortality among elderly hip fracture patients. To investigate the effects of admission and post-operative levels of distribution width of red blood cells (RDW), albumin, and RDW/albumin (RA) ratio on predicting 1-year mortality following hip fracture surgery.

Methods

A retrospective study was conducted on 275 elderly patients who underwent hip fracture surgery in a tertiary hospital between January 2018 and January 2022. Deaths within one year of hip fracture were defined as the deceased group. The survivors were defined as those who survived for at least one year. The relationship between admission and post-operative levels of RDW, albumin, RA, and mortality within one year after hip surgery was assessed statistically, including binary logistic regression analysis. The study also assessed other factors related to mortality.

Results

One-year mortality was 34.7%. There was a 3.03-year (95% CI [1.32-4.75]) difference between the deceased (79.55 ± 8.36 years) and survivors (82.58 ± 7.41 years) (p < 0.001). In the deceased group, the mean hemoglobin (HGB) values at admission (p = 0.022) and post-operative (p = 0.04) were significantly lower. RDW values at admission (p = 0.001) and post-op (p = 0.001) were significantly lower in the survivor group. The mean albumin values at admission (p < 0.001) and post-operative (p < 0.001) in the survivor group were significantly higher than in the deceased group. A significant difference was found between the survivor group and the deceased group in terms of mean RA ratio at admission and post-operative (p < 0.001). Based on binary logistic regression analysis, presence of chronic obstructive pulmonary disease (COPD) (OR 3.73, 95% CI [1.8-7.76]), RDW (OR 1.78, 95% CI [1.48-2.14]), and albumin (OR 0.81, 95% CI [0.75-0.87]), values at admission were found to be independent predictors of 1-year mortality in elderly patients with hip fracture.

Conclusion

Based on this study, presence of COPD, higher RDW, and lower albumin levels at admission were independent predictors of 1-year mortality following hip fracture surgery in the elderly.

Association of red blood cell distribution width-to-albumin ratio with mortality in patients undergoing transcatheter aortic valve replacement

BACKGROUND

Frailty is associated with poor prognosis in patients undergoing transcatheter aortic valve replacement (TAVR). The red blood cell distribution width (RDW)-to-albumin ratio (RAR) reflects key components of frailty. This study aimed to evaluate the relationship between RAR and all-cause mortality in patients undergoing TAVR.

METHODS

The data were extracted from the Medical Information Mart for Intensive Care IV database. The RAR was computed by dividing the RDW by the albumin. The primary outcome was all-cause mortality within 1-year following TAVR. The association between RAR and the primary outcome was evaluated using the Kaplan-Meier survival curves, restricted cubic spline (RCS), and Cox proportional hazard regression models.

RESULTS

A total of 760 patients (52.9% male) with a median age of 84.0 years were assessed. The Kaplan-Meier survival curves showed that patients with higher RAR had higher mortality (log-rank P < 0.001). After adjustment for potential confounders, we found that a 1 unit increase in RAR was associated with a 46% increase in 1-year mortality (HR = 1.46, 95% CI:1.22-1.75, P < 0.001). According to the RAR tertiles, high RAR (RAR > 4.0) compared with the low RAR group (RAR < 3.5) significantly increased the risk of 1-year mortality (HR = 2.21, 95% CI: 1.23-3.95, P = 0.008). The RCS regression model revealed a continuous linear relationship between RAR and all-cause mortality. No significant interaction was observed in the subgroup analysis.

CONCLUSION

The RAR is independently associated with all-cause mortality in patients treated with TAVR. The higher the RAR, the higher the mortality. This simple indicator may be helpful for risk stratification of TAVR patients.

Prognostic Significance of the Red Cell Distribution Width/Albumin Ratio in the Prediction of the Severity of Acute Biliary Pancreatitis: A Preliminary Report

Objective Acute pancreatitis (AP) is a common inflammatory disease that should be considered in the etiology of patients presenting to the emergency department with abdominal pain. AP manifests with a clinical picture that can lead to organ failure and even death; therefore, early diagnosis and treatment are essential. In this study, we aimed to evaluate the red cell distribution width (RDW)/albumin ratio (RAR), which, we consider, can be used to determine the clinical course of acute biliary pancreatitis (ABP). Material and method The study included 166 patients with ABP. The patient's demographic information, blood values at the time of the first presentation to the emergency department, and radiological results were recorded by screening them retrospectively. Using the Atlanta criteria, the cases were classified into mild, moderately severe, and severe AP groups (MAP, MSAP, and SAP, respectively) and compared. Results Of the patients, 121 (72.9%) patients had MAP, 40 (24.1%) had MSAP, and five (3%) had SAP. There was no statistically significant difference between the three groups regarding gender and age. The SAP group had significantly higher median values for the length of hospital stay [19 (4-31) days], white blood cell (WBC) count [20.4 x10⁹/L (9.1-23.3 x10⁹/L)], and creatinine (Cre) [1.4 mg/dL (0.7-3.4 mg/dL)] (p<0.001, p=0.003, and p=0.014, respectively). The RDW and albumin values of all the groups were within normal ranges. RAR was higher in the SAP group but did not statistically significantly different between the groups. In the receiver operating characteristic (ROC) analysis of RAR, the area under the curve (AUC) value was determined as 0.75, sensitivity as 80%, specificity as 70.2%, and positive likelihood ratio as 2.1 (p=0.05). Conclusion It is considered that RAR may be a helpful method in determining the course of ABP attacks, but there is a need for studies with a larger series, including all pancreatitis cases.

Prognostic Nutritional Index and Postoperative Pulmonary Complications in Patients With Major Burns

INTRODUCTION

Burns can cause multiple organ systemic derangements, particularly in respiratory systems. The prognostic nutritional index (PNI) can predict postoperative outcomes. We evaluated the incidence and risk factors, including PNI, for postoperative pulmonary complications (PPCs) in patients with major burns.

METHODS

PNI was calculated as 10 × (serum albumin level) + 0.005 × (total lymphocyte count). Major burn patients admitted to the ICU without burn-induced lung injuries were retrospectively included. The incidence of PPCs was measured within 1 wk of burn surgery. A multivariable logistic regression analysis was performed to evaluate the risk factors for PPCs. Receiver operating characteristic curve analysis and propensity-score matched analysis were conducted to estimate the influence of PNI on PPCs. Outcomes after burn surgery were also assessed.

RESULTS

Of 444 major burn patients, 138 (31.1%) showed PPCs. Risk factors for PPCs were PNI, gender, total body surface area burned, interval between burn and surgery, and red blood cell transfusion rate. The area under the curve of PNI for predicting PPCs was 0.709 (cutoff value = 31.5). The incidence of PPCs was significantly higher in the PNI ≤ 31.5 group than in the PNI > 31.5 group (55.7% versus 22.8%, P < 0.001) after propensity-score matching. The intensive care unit stay duration was longer and 90-d mortality was higher in patients who developed PPCs (19 [9-27] d versus 8 [4-17] d, P < 0.001; 11.6% versus 0.3%, P < 0.001).

CONCLUSIONS

The prevalence of PPCs in patients with major burns was 31.1% and preoperative PNI was a predictor of PPCs in these patients. PNI ≤ 31.5 was significantly related to a higher incidence of PPCs.

Impact of red cell distribution width and red cell distribution width/albumin ratio on all-cause mortality in patients with type 2 diabetes and foot ulcers: a retrospective cohort study

Background

Red blood cell distribution width (RDW) has emerged as a prognostic factor for mortality in various diseases. Up to now, few studies have focused on the prognostic value of RDW in patients with diabetic foot ulcers (DFUs). This retrospective cohort study aimed to investigate the impact of RDW and RDW/albumin (ALB) ratio on all-cause mortality in patients with DFUs.

Methods

This study included 860 patients with DFUs in a tertiary academic hospital. The associations of RDW and RDW/ALB with all-cause mortality were assessed by multivariable cox regression analyses. The pairwise comparisons of receiver operating characteristic (ROC) curves were performed to compare the predictive performance of RDW and RDW/ALB ratio. Harrell’s concordance index, integrated discrimination improvement, and net reclassification improvement were used to estimate the improvements in risk discrimination.

Results

Patients with high RDW and RDW/ALB had lower overall survival rates (all P < 0.001). The multivariable Cox regression revealed that high RDW [adjusted hazard ratio (HR) 2.426, 95% confidence interval (CI): 1.557–3.778, P < 0.001] and high RDW/ALB (adjusted HR 2.360, 95% CI: 1.414–3.942, P = 0.001) were independent associated with high all-cause mortality. In subgroup analyses, the comparative analysis of ROC curves revealed that the discriminating ability of the RDW/ALB ratio was significantly superior to RDW in patients with no severe DFUs or no severe peripheral artery disease, or in young and middle-aged patients (all P < 0.05). Adding RDW and RDW/ALB ratio to base models improved discrimination and risk reclassification for all-cause mortality.

Conclusions

RDW and RDW/ALB ratio are robust and independent prognostic markers in patients with DFUs. The RDW/ALB ratio appears to be of more predictive value for mortality in younger and less severely ill patients with DFUs. Both RDW and RDW/ALB ratio can provide incremental predictive value for all-cause mortality over traditional risk factors. RDW and RDW/ALB ratio can be used to identify high-risk patients with DFUs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-022-01534-4.

Red blood cell distribution width-to-albumin ratio is associated with all-cause mortality in cancer patients

Background

Cancer causes a serious health burden on patients worldwide. Chronic low‐level inflammation plays a key role in tumorigenesis and prognosis. However, the role of the red blood cell distribution width (RDW)‐to‐albumin (RA) ratio in cancer mortality remains unclear.

Methods

In this retrospective cohort study, we collected clinical information from cancer patients from the Medical Information Mart for Intensive Care III (MIMIC‐III) version 1.4 database and then calculated RA by dividing RDW by albumin concentration. The primary outcome was 30 days mortality, while secondary outcomes were 90 days and 1 year mortality. Next, we adopted Cox regression models to calculate hazard ratios (HR) together with 95% confidence intervals (CI) for all‐cause mortalities associated with the RA ratio.

Results

For 30 days mortality, the HR (95% CI) for the high RA ratio (≥5.51) was 2.17 [95CI% (1.87–2.51); p = <0.0001], compared with the low RA ratio (<5.51). In Model 2, we adjusted sex and age and obtained HR (95% CI) of 2.17 [95CI% (1.87–2.52); p = <0.0001] for the high RA ratio (≥5.51) group, compared to that in the low RA ratio (<5.51). In Model 3, adjusting for age, sex, anion gap, hematocrit, white blood cell count, congestive heart failure, SOFA, liver disease, and renal failure resulted in HR (95% CI) of 1.74 [95CI% (1.48–2.04); p = <0.0001] for the high RA ratio (≥5.51) relative to the low RA ratio (<5.51). We also analyzed common diseases in cancer patients but found no significant association.

Conclusion

To the best of our knowledge, this is the first study demonstrating that increased RA ratio is independently associated with increased all‐cause mortality in cancer patients.