Red cell distribution width as a predictor of outcome in hospitalized cirrhotic patients

Abdel‐Samiee, Mohamed; Kohla, Mohamed; Ragab, Mohammed Fathy; Ghanem, Heba; Abou-Gabal, Ashraf; Abdelsameea, Eman

doi:10.1097/meg.0000000000002337

Cited by 3 publications

(1 citation statement)

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“…And RDW-CV and RDW-SD could distinguish liver cirrhosis from chronic hepatitis B (CHB) and inactive hepatitis B virus (HBV) carriers [ 20 ]. In addition, RDW-CV is a valuable predictor for predicting survival and length of hospitalization in patients with liver cirrhosis [ 21 ]. And CHB with RDW-CV more than 15.1% had a higher mortality [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

Liver cirrhosis prediction for patients with Wilson disease based on machine learning: a case–control study from southwest China

Chen

Wan

Mao³

et al. 2022

European Journal of Gastroenterology &Amp; Hepatology

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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.Objectives Wilson disease (WD) is a rare autosomal recessive disease caused by an ATP7B gene mutation. Liver cirrhosis is an important issue that affects the clinical management and prognosis of WD patients. Blood routine examination is a potential biomarker for predicting the occurrence of liver cirrhosis in WD. We aim to construct a predictive model for the occurrence of liver cirrhosis using general clinical information, blood routine examination, urine copper, and serum ceruloplasmin through a machine learning approach. Methods Case-control study of WD patients admitted to West China Fourth Hospital between 2005 and 2020. Patients with a score of at least four in scoring system of WD were enrolled. A machine learning model was constructed by EmpowerStats software according to the general clinical data, blood routine examination, 24 h urinary copper, and serum ceruloplasmin. Results This study analyzed 346 WD patients, of which 246 were without liver cirrhosis. And we found platelet large cell count (P-LCC), red cell distribution width CV (RDW-CV), serum ceruloplasmin, age at diagnosis, and mean corpuscular volume (MCV) were the top five important predictors. Moreover, the model was of high accuracy, with an area under the receiver operating characteristic curve of 0.9998 in the training set and 0.7873 in the testing set. Conclusions In conclusion, the predictive model for predicting liver cirrhosis in WD, constructed by machine learning, had a higher accuracy. And the most important indices in the predictive model were P-LCC, RDW-CV, serum ceruloplasmin, age at diagnosis, and MCV.

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Section: Discussionmentioning

confidence: 99%

Liver cirrhosis prediction for patients with Wilson disease based on machine learning: a case–control study from southwest China

Chen

Wan

Mao³

et al. 2022

European Journal of Gastroenterology &Amp; Hepatology

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Red cell distribution width and mortality in older patients with frailty in the emergency department

et al. 2023

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Background The red cell distribution width (RDW) reflects the degree of heterogeneity of red blood cells. Elevated RDW is associated both with frailty and with increased mortality in hospital-admitted patients. In this study we evaluate whether high RDW values are associated with mortality in older emergency department (ED) patients with frailty, and if the association is independent of the degree of frailty. Methods We included ED patients with the following criteria: ≥ 75 years of age, Clinical Frailty Scale (CFS) score of 4 to 8, and RDW % measured within 48 h of ED admission. Patients were allocated to six classes by their RDW value: ≤ 13%, 14%, 15%, 16%, 17%, and ≥ 18%. The outcome was death within 30 days of ED admission. Crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for a one-class increase in RDW for 30-day mortality were calculated via binary logistic regression analysis. Age, gender and CFS score were considered as potential confounders. Results A total of 1407 patients (61.2% female), were included. The median age was 85 with an inter-quartile range (IQR) of 80–89, median CFS score 6 (IQR: 5–7), and median RDW 14 (IQR: 13–16). Of the included patients, 71.9% were admitted to hospital wards. A total of 85 patients (6.0%) died during the 30-day follow-up. Mortality rate was associated with RDW increase (p for trend < .001). Crude OR for a one-class increase in RDW for 30-day mortality was 1.32 (95% CI: 1.17–1.50, p < .001). When adjusted for age, gender and CFS-score, OR of mortality for one-class RDW increase was still 1.32 (95% CI: 1.16–1.50, p < .001). Conclusion Higher RDW values had a significant association with increased 30-day mortality risk in frail older adults in the ED, and this risk was independent of degree of frailty. RDW is a readily available biomarker for most ED patients. It might be beneficial to include it in risk stratification of older frail ED patients to identify those who could benefit from further diagnostic assessment, targeted interventions, and care planning.

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Red Blood Cell Distribution Width and Liver Cirrhosis

张

2023

ACM

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Red cell distribution width as a predictor of outcome in hospitalized cirrhotic patients

Cited by 3 publications

References 40 publications

Liver cirrhosis prediction for patients with Wilson disease based on machine learning: a case–control study from southwest China

Liver cirrhosis prediction for patients with Wilson disease based on machine learning: a case–control study from southwest China

Red cell distribution width and mortality in older patients with frailty in the emergency department

Red Blood Cell Distribution Width and Liver Cirrhosis

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