Red cell distribution width to platelet ratio for liver fibrosis: a systematic review and meta-analysis of diagnostic accuracy

Red cell distribution width/platelet ratio predicts decompensation of metabolic dysfunction-associated steatotic liver disease-related compensated advanced chronic liver disease

Prognostication of compensated advanced chronic liver disease (cACLD) is of paramount importance for the physician-and-patient communication and for rational clinical decisions. The paper published by Dallio et al reports on red cell distribution width (RDW)/platelet ratio (RPR) as a non-invasive biomarker in predicting decompensation of metabolic dysfunction-associated steatotic liver disease (MASLD)-related cACLD. Differently from other biomarkers and algorithms, RPR is inexpensive and widely available, based on parameters which are included in a complete blood count. RPR is computed on the grounds of two different items, one of which, RDW, mirrors the host's response to a variety of disease stimuli and is non-specific. The second parameter involved in RPR, platelet count, is more specific and has been used in the hepatological clinic to discriminate cirrhotic from non-cirrhotic chronic liver disease for decades. Cardiovascular disease is the primary cause of mortality among MASLD subjects, followed by extra-hepatic cancers and liver-related mortality. Therefore, MASLD biomarkers should be validated not only in terms of liver-related events but also in the prediction of major adverse cardiovascular events and cardiovascular mortality and extra-hepatic cancers. Adequately sized multi-ethnic confirmatory investigation is required to define the role and significance of RPR in the stratification of MASLD-cACLD.

Accounting for Red Cell Distribution Width Improves Risk Stratification by Commonly Used Mortality/Deterioration Risk Scores in Adult Patients Hospitalized Due to COVID-19

Higher red blood cell distribution width (RDW) levels have gained attention in the prognostication of many chronic metabolic and malignant diseases, as well as coronavirus disease 2019 (COVID-19). We aimed to evaluate whether accounting for RDW might contribute to risk stratification when added to commonly used risk scoring systems in adult COVID-19 patients. We retrospectively analyzed a cohort of 3212 non-critical COVID-19 patients hospitalized in a tertiary-level institution from March 2020 to June 2021. Admission RDW values were considered normal if they were ≤14.5% in males or ≤16.1% in females. The Modified Early Warning Score (MEWS), International Severe Acute Respiratory and Emerging Infections Consortium Coronavirus Clinical Characterisation Consortium score (ISARIC 4C), and Veterans Health Administration COVID-19 (VACO) index were evaluated as prognostic scores. RDW exceeded the upper limit in 628 (19.6%) of the patients. When RDW was accounted for, risks of the predicted outcomes were considerably different within the same MEWS, 4C score, and VACO index levels. The same patterns applied equally to patients who started, and those who did not start, remdesivir before deterioration. RDW may be a useful tool for stratifying risk when considered on top of commonly used prognostic scores in non-critical COVID-19 patients.

Optimal use of red cell volume distribution width-to-platelet ratio to exclude cirrhosis in patients with chronic hepatitis B

Background and aims

Hepatitis B virus (HBV) infection is a major public health issue worldwide as it may cause serious liver diseases such as cirrhosis and hepatocellular carcinoma (HCC). Ruling out cirrhosis is important when treating chronic hepatitis B (CHB). The aim of this study was to compare the performance of the aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis score based on four factors (FIB-4), and red cell volume distribution width-to-platelet ratio (RPR) in diagnosing liver fibrosis stages and to identify new cut-off values to rule out cirrhosis.

Methods

Between 2005 and 2020, 2182 eligible individuals who underwent liver biopsy were randomly assigned to derivation and validation cohorts in a 6:4 ratio. A grid search was applied to identify optimal cut-off values with a sensitivity of >90% and a negative predictive value (NPV) of at least 95%.

Results

Overall, 1309 individuals (175 patients with cirrhosis) were included in the derivation dataset, and 873 (117 patients with cirrhosis) were included in the validation cohort. The area under the receiver operating characteristic curve of RPR for diagnosing cirrhosis was 0.821, which was comparable to that of APRI (0.818, P = 0.7905) and FIB-4 (0.803, P = 0.2395). When applying an RPR of 0.06, cirrhosis was correctly identified with a sensitivity of 93.1% and an NPV of 97.1%, while it misclassified 12 of 175 (6.9%) patients in the derivation cohort. In the validation cohort, RPR had a sensitivity and NPV of 97.4% and 99.0%, respectively, and only misclassified 3 of 117 (2.6%) patients. Subgroup analysis indicated that the new RPR cut-off value performed more consistently than that of APRI and FIB-4 in all subgroups.

Conclusion

A recently established cut-off value for RPR (≤0.06) was validated and was more effective than APRI and FIB-4 in excluding patients with cirrhosis due to a higher sensitivity and NPV and a lower misclassification rate. This simple and dependable test could have significant clinical implications in identifying patients who require monitoring for portal hypertension-associated complications and screening for HCC, particularly in middle and primary healthcare settings.

Red cell distribution width and Glasgow coma scale score as predictors of in-hospital mortality in maintenance hemodialysis patients diagnosed with spontaneous intracerebral hemorrhage

Glasgow Coma Scale (GCS) score is being widely used as a useful predictor to investigate patients with head injury. High red cell distribution width (RDW) values have been independently associated with mortality and poor neurological outcome. However, there are few data available for Spontaneous Intracerebral Hemorrhage (SIH) in maintenance hemodialysis (MHD) patients. This study aimed to evaluate the prognostic value of the combined measurement of RDW and GCS score in MHD patients with SIH. We retrospectively studied 46 MHD patients who was admitted to our hospital for nontraumatic SIH from October 2014 to May 2020. Data including demographic information, cause of renal failure, comorbidities at ESRD, clinical and laboratory parameters at admission were collected from medical records. Univariate and multivariate Logistic regression analysis were performed to identify independent risk factors of the in-hospital Mortality in Hemodialysis Patients with SIH. The receiver operating characteristic curve (ROC) and areas under the curve (AUCs) were determined. The sensitivity and specificity of independent risk factors were calculated for a range of different cutoff points. A total of 46 patients were enrolled in the study. The in-hospital mortality rate was 69.57%. We divided subjects into 2 groups based on the clinical outcomes. Compared with survivors (n = 14), non-survivors (n = 32) had longer hemodialysis vintage (P = .017), lower GCS score (P < .001), higher hemoglobin (Hb) (P = .032) and RDW (P = .009). In multivariate logistic regression analysis, GCS score (OR 0.719, 95% CI 0.546-0.946; P = .018) and RDW (OR 4.549, 95% CI 1.243-0.946; P = .018) were independent risk factors of in-hospital mortality in MHD patients with SIH. The area under the ROC curve (AUC) for GCS score was 0.849 (95% CI 0.729-0.970) while that for RDW was 0.743 (95% CI 0.596-0.891). The AUC for the combined prediction was 0.916 (95% CI 0.828-1.000), with a sensitivity of 90.63% and a specificity of 88.46%. In conclusion, high RDW and low GCS score were useful and independent poor prognostic markers for in-hospital mortality of MHD patients with SIH.

Red blood cell distribution width derivatives in alcohol-related liver cirrhosis and metabolic-associated fatty liver disease

BACKGROUND

Looking for undiscovered blood markers of liver fibrosis and steatosis still remains an issue worth exploring. There are still plenty of unresolved issues related to the actual role of hematological indices as potential markers of liver function.

AIM

To study red blood cell distribution width (RDW), RDW-to-platelet ratio (RPR) and RDW-to-lymphocyte ratio (RLR) in alcohol-related liver cirrhosis (ALC) and metabolic-associated fatty liver disease (MAFLD).

METHODS

The study group was composed of 302 people: 142 patients with ALC and 92 with MAFLD; 68 persons were included as controls. RDW, RPR and RLR were measured in each person. Indirect and direct parameters of liver fibrosis were also assessed [aspartate transaminase to alkaline transaminase ratio, aspartate transaminase to platelet ratio index (APRI), fibrosis-4 (FIB-4), gamma-glutamyl transpeptidase to platelet ratio (GPR), procollagen I carboxyterminal propeptide, procollagen III aminoterminal propeptide, transforming growth factor-α, platelet-derived growth factor AB, laminin]. MELD score in ALC patients and non-alcoholic fatty liver disease (NAFLD) fibrosis score together with BARD score were obtained in the MAFLD group. The achieved results were compared to controls. Then a correlation between assessed markers was done. Diagnostic value of each investigated parameter and its suggested cut-off in the research group were evaluated with area under the curve (AUC).

RESULTS

RDW, RPR and RLR values turned out to be significantly higher in ALC and MAFLD groups compared to controls (ALC: P < 0.0001; NAFLD: P < 0.05, P < 0.0001 and P < 0.0001, respectively). RPR correlated positively with MELD score (P < 0.01) and indirect indices of liver fibrosis (FIB-4 and GPR; P < 0.0001) in ALC patients; negative correlations were found between PDGF-AB and both: RDW and RPR (P < 0.01 and P < 0.0001, respectively). RPR correlated positively with NAFLD fibrosis score and APRI (P < 0.0001) in the MAFLD group; a positive relationship was observed between RDW and FIB-4, too (P < 0.05). AUC values and suggested cut-offs for RDW, RPR and RLR in ALC patients were: 0.912 (> 14.2%), 0.965 (> 0.075) and 0.914 (> 8.684), respectively. AUC values and suggested cut-offs for RDW, RPR and RLR in MAFLD patients were: 0.606 (> 12.8%), 0.724 (> 0.047) and 0.691 (> 6.25), respectively.

CONCLUSION

RDW with its derivatives appear to be valuable diagnostic markers in patients with ALC. They can also be associated with a deterioration of liver function in this group.

The association between hematologic parameters and intracranial injuries in pediatric patients with traumatic brain injury

OBJECTIVE

Analyzing the association between hematologic parameters and abnormal cranial computerized tomography (CT) findings after head trauma.

MATERIAL AND METHODS

A total of 287 children with isolated traumatic brain injury (TBI) were divided into the 'normal' (NG), 'linear fracture' (LFG) and 'intraparenchymal injury' groups (IPG) based on head CT findings. Demographical/clinical data and laboratory results were obtained from medical records.

RESULTS

The neutrophil-lymphocyte ratio was markedly higher in the LFG (p = 0.010 and p = 0.016, respectively) and IPG (p = 0.004 and p < 0.001, respectively) compared with NG. Lower lymphocyte-monocyte ratio (p = 0.044) and higher red cell distribution width-platelet ratio (RPR) (p = 0.030) were associated with intraparenchymal injuries. Patients requiring neurosurgical intervention had higher neutrophil-lymphocyte ratio (p = 0.026) and RPR values (p = 0.031) and lower platelet counts (p = 0.035). Lower levels of erythrocytes (p = 0.005), hemoglobin (p = 0.003) and hematocrit (p = 0.002) were associated with severe TBI and unfavorable outcome (p = 0.012, p = 0.004 and p = 0.006, respectively).

CONCLUSIONS

Hematologic parameters are useful in predicting the presence of abnormal cranial CT findings in children with TBI in association with injury severity; surgery need and clinical outcome.

Diagnostic Accuracy of the RDW for Predicting Death in COVID-19

Background and Objectives: An association between high red blood cell distribution width (RDW) and mortality has been found in several diseases, including infection and sepsis. Some studies have aimed at determining the association of elevated RDW with adverse prognosis in COVID-19, but its usefulness has not been well established. The objective of this study was to determine the accuracy of the RDW, measured at hospital admission and discharge, for predicting death in patients with COVID-19. Materials andMethods: An observational, retrospective, longitudinal, and analytical study was conducted in two different COVID-19 reference centers in the state of Guanajuato, Mexico. A total of 323 patients hospitalized by COVID-19 were included. Results: We found higher RDW levels at the time of hospital admission in the non-survivors group compared to levels in survivors (median = 13.6 vs. 13.0, p < 0.001). Final RDW levels were even higher in the deceased group when compared with those of survivors (median = 14.6 [IQR, 12.67−15.6] vs. 12.9 [IQR, 12.2−13.5], p < 0.001). For patients who died, an RDW > 14.5% was more common at the time of death than for patients who survived at the time of discharge (81 vs. 13 patients, p < 0.001; RR = 2.3, 95% CI 1.89−2.81). Conclusions: The RDW is an accessible and economical parameter that, together with other characteristics of the presentation and evolution of patients with COVID-19, can be helpful in determining the prognosis. An RDW that increases during hospitalization could be a more important mortality predictor than the RDW at hospital admission.

EASL Clinical Practice Guidelines on non-invasive tests for evaluation of liver disease severity and prognosis - 2021 update

Non-invasive tests are increasingly being used to improve the diagnosis and prognostication of chronic liver diseases across aetiologies. Herein, we provide the latest update to the EASL Clinical Practice Guidelines on the use of non-invasive tests for the evaluation of liver disease severity and prognosis, focusing on the topics for which relevant evidence has been published in the last 5 years.

Red blood cell distribution width as mortality biomarker in patients with traumatic brain injury

One study found higher red blood cell distribution width (RDW) on the admission of traumatic brain injury (TBI) in non-surviving patients; however, a regression analysis was not carried out to establish an association between RDW and TBI mortality. Thus, the objectives of this study were to determine whether there is an association between RDW and TBI mortality, and to describe the temporal profile of RDW during the first week. Isolated (< 10 points in non-cranial aspects of Injury Severity Score) and severe (< 9 points in Glasgow Coma Scale) TBI patients were included. RDW at days 1, 4, and 8 of TBI were determined. The end-point study was 30-day mortality. Ninety-seven surviving patients compared to the 38 non-surviving patients had higher RDW at days 1 (p < 0.001), 4 (p < 0.001), and 8 (p < 0.001). The area under the curve (95% CI) for prediction of mortality by RDW at days 1, 4, and 8 was 0.81 (0.73-0.87; p < 0.001), 0.92 (0.85-0.96; p < 0.001) and 0.94 (0.88-0.98; p < 0.001). Regression analysis showed an association between RDW and mortality (odds ratio = 1.778; 95% CI 1.312-2.409; p < 0.001). The association found between RDW on admission and mortality is the main new finding of our study. Regarding the temporal profile of RDW, the fact that RDW during the first week of TBI may help in estimating prognosis is another interesting finding of our study.

High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis

Chronic HBV infection, the main cause of liver cirrhosis and hepatocellular carcinoma, has become a global health concern. Machine learning algorithms are particularly adept at analyzing medical phenomenon by capturing complex and nonlinear relationships in clinical data. Our study proposed a predictive model on the basis of 55 routine laboratory and clinical parameters by machine learning algorithms as a novel non-invasive method for liver fibrosis diagnosis. The model was further evaluated on the accuracy and rationality and proved to be highly accurate and efficient for the prediction of HBV-related fibrosis. In conclusion, we suggested a potential combination of high-dimensional clinical data and machine learning predictive algorithms for the liver fibrosis diagnosis.

Association between red blood cell distribution width and mortality of COVID-19 patients

PURPOSE

We have previously reported an association between high red blood cell distribution width (RDW) and mortality in septic and brain infarction patients. However, no association between RDW and mortality in coronavirus disease 2019 (COVID-19) patients has been reported so far; thus, the objective of this study was to determine if that association exists.

METHODS

Prospective and observational study carried out in 8 Intensive Care Units from 6 hospitals of Canary Islands (Spain) including COVID-19 patients. We recorded RDW at ICU admission and 30-day survival.

RESULTS

We found that patients who did not survive (n=25) compared to surviving patients (n=118) were older (p=0.004), showed higher RDW (p=0.001), urea (p<0.001), APACHE-II (p<0.001) and SOFA (p<0.001), and lower platelet count (p=0.007) and pH (p=0.008). Multiple binomial logistic regression analysis showed that RDW was associated with 30-day mortality after controlling for: SOFA and age (OR=1.659; 95% CI=1.130-2.434; p=0.01); APACHE-II and platelet count (OR=2.062; 95% CI=1.359-3.129; p=0.001); and pH and urea (OR=1.797; 95% CI=1.250-2.582; p=0.002). The area under the curve (AUC) of RDW for mortality prediction was of 71% (95% CI=63-78%; p<0.001). We did not find significant differences in the predictive capacity between RDW and SOFA (p=0.66) or between RDW and APACHE-II (p=0.12).

CONCLUSIONS

Our study provides new information regarding the ability to predict mortality in patients with COVID-19. There is an association between high RDW and mortality. RDW has a good performance to predict 30-day mortality, similar to other severity scores (such as APACHE II and SOFA) but easier and faster to obtain.

Red blood cell distribution width and mortality of spontaneous intracerebral hemorrhage patients

OBJECTIVES

Two studies have found an association between hematoma expansion and red blood cell distribution width (RDW) in the diagnosis of spontaneous intracerebral hemorrhage (SIH); however, its association with SIH mortality has been not reported. Thus, the objectives of this study were to determine whether RDW in patients with SIH could be associated with mortality and could be used as mortality biomarker.

PATIENTS AND METHODS

Observational and prospective study of patients with severe supratentorial SIH (Glasgow Coma Scale < 9) from Intensive Care Units of 6 Spanish hospitals. RDW was recorded at days 1, 4 and 8 of SIH. Thirty-day mortality was considered the end-point study.

RESULTS

Non-surviving patients (n = 54) compared to surviving patients (n = 63) had higher RDW (p ≤ 0.001) at days 1, 4 and 8 of SIH. The area under curve (95 % confidence interval) to predict 30-day mortality by RDW at days 1, 4, and 8 of SIH was 0.87 (0.79-0.92; p < 0.001), 0.74 (0.64-0.83; p < 0.001) and 0.79 (0.68-0.87; p < 0.001) respectively. In the regression analysis an association between RDW and 30-day mortality was found controlling for early evacuation of SIH, midline shift, ICH score and glycemia (Odds ratio = 1.159; 95 % CI = 1.046-1.284; p = 0.005).

CONCLUSIONS

The higher RDW during the first week of SIH in non-surviving than in surviving patients, and the potential role of RDW at any time during the first week as mortality biomarker are the main novelties of our study.

Early Mortality of Brain Infarction Patients and Red Blood Cell Distribution Width

BACKGROUND

Meta-analysis has found that high baseline red blood cell distribution width (RDW) is associated with increased long-term mortality (mortality at one year or more) in ischemic stroke. The objectives of this study were to determine whether there is an association between RDW and 30-day mortality, and to explore whether RDW during the first week of ischemic stroke could be a 30-day mortality biomarker.

METHODS

We included patients with malignant middle cerebral artery infarction (MMCAI). RDW at days 1, 4, and 8 of MMCAI were determined. The end-point study was 30-day mortality.

RESULTS

We found that survivor (n = 37) in respect to non-survivor patients (n = 37) had lower RDW at days 1 (p < 0.001), 4 (p < 0.001), and 8 (p = 0.02). The area under curve (95% CI) for prediction of 30-day mortality by RDW at days 1, 4, and 8 of MMCAI were 0.80 (0.69-0.89; p < 0.001), 0.79 (0.66-0.89; p < 0.001), and 0.73 (0.58-0.84; p = 0.02). Regression analysis showed an association between RDW (odds ratio = 1.695; 95% CI = 1.230-2.335; p < 0.001) and 30-day mortality.

CONCLUSIONS

The association between RDW and early mortality, and the potential role of RDW during the first week of MMCAI as a prognostic biomarker of early mortality were the main novelties of our study.