Red cell distribution width-to-lymphocyte ratio

Zhang, Xueyan; Wang, Dawei; Chen, Zhongming; Guo, Naizhou; Wang, Wei; Xiong, Cunquan; Liu, Jun; Yue, Yinhong; Sun, Mingzhong

doi:10.1097/md.0000000000020600

Cited by 8 publications

(5 citation statements)

References 29 publications

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“…It has been noted that viral load can have a significant effect on RDW when ALT levels are more than 2 times higher than in the normal group (14). High RDW is positively associated with the severity of CHB disease and may be a determining factor in the follow-up of patients with liver cirrhosis (11)(12)(13). Although the increase in ALT levels in this study altered significantly, there was no two-fold difference compared to the control group.…”

Section: Discussioncontrasting

confidence: 55%

“…Atay et al found an increase in NLR rates in the CHB group compared to the controls and in the advanced fibrosis group compared to the mild fibrosis group (15). However, in some recent studies, PLT values were found to be higher in CHBs without cirrhosis and liver failure, and lower NLR values compared to controls (13,(16)(17)(18).…”

Section: Discussionmentioning

confidence: 81%

“…In this study, AST and ALT values of the HBsAg positive pregnant group were found to be statistically significantly higher than the healthy control group, and these values are consistent with the literature. In addition, several studies have reported high RDW levels in CHB patients (11)(12)(13). It has been noted that viral load can have a significant effect on RDW when ALT levels are more than 2 times higher than in the normal group (14).…”

Section: Discussionmentioning

confidence: 99%

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The Potential Role of Hematological and Biochemical Parameters in Pregnant Women with Viral Infection

Ergun,

Sürmen,

Ertürk

et al. 2023

experimed

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Objective: Pregnancy is a process in which not only physical changes occur, but also immune responses are modulated. Therefore, pregnant women are more susceptible to viral infections due to these changes during the pregnancy. The present study aimed to evaluate the hematological and biochemical parameters of pregnant women diagnosed with viral infection. Materials and Methods:The study groups consisted of pregnant women diagnosed with cytomegalovirus (CMV), hepatitis B virus (HBV), influenza, Covid-19 and healthy pregnant women as control group. The data of a total of 522 pregnant women were analyzed retrospectively. SPSS 22.0 statistics package program was used for data analysis.Results: Significant differences were found in aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels, and neutrophil counts between CMV and control groups. There were also significant differences in AST, ALT, red blood cell distribution width (RDW), neutrophil lymphocyte ratio (NLR), white blood cell (WBC), platelet (PLT), neutrophil and lymphocyte values between hepatitis B surface antigen (HBsAg) positive and HBsAg negative pregnant groups. NLR and basophil (BASO) % of pregnant women with influenza infection were significantly higher than the control group. In Covid-19 positive pregnant women, AST, ALT, WBC, BASO values and BASO% were found to be significantly different from the control group. In addition, WBC and NLR values in Covid-19 positive pregnant women were found to be significantly lower than the influenza group. Conclusion:All these results suggest that especially the NLR value may have diagnostic and prognostic significance for viral infections in pregnant women. However, studies with larger samples and prospective analyses are needed for stronger evidence.

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Section: Discussioncontrasting

confidence: 55%

Section: Discussionmentioning

confidence: 81%

Section: Discussionmentioning

confidence: 99%

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The Potential Role of Hematological and Biochemical Parameters in Pregnant Women with Viral Infection

Ergun,

Sürmen,

Ertürk

et al. 2023

experimed

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“…Meanwhile, RDW-CV to platelet ratio could predict fibrosis in patients with chronic hepatitis C, with an AUC of 0.65 [24]. And the RDW-CV to lymphocyte ratio could predict the incidence of CHB liver cirrhosis [25]. Previous study had found that the alcoholic cirrhosis group had a higher level of MCV value compared with alcoholic fatty liver or mild alcoholic hepatitis [26].…”

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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“…Although the relationship between the lymphocyte ratio and EVs has not been reported, previous studies have demonstrated that the lymphocyte count or ratio is associated with HBV-related cirrhosis. Compared with healthy controls, both the lymphocyte count and lymphocyte/monocyte ratio decreased significantly (Zhang et al, 2015;Zhao et al, 2017;Zhang et al, 2020), and the neutrophil/lymphocyte ratio was markedly elevated (Zhao et al, 2017;Zhang et al, 2020). This may be a consequence of chronic systemic inflammation, immune dysfunction, and T-cell exhaustion due to chronic HBV infection (Lombardo et al, 1995;Ye et al, 2015;Kalra et al, 2017).…”

Section: Discussionmentioning

confidence: 96%

Non-Invasive Prediction Models for Esophageal Varices and Red Signs in Patients With Hepatitis B Virus-Related Liver Cirrhosis

Liang

Liu

et al. 2022

Front. Mol. Biosci.

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Background: Red signs are closely related to esophageal variceal bleeding, and, despite improvements in therapy, the mortality rate remains high. We aimed to identify non-invasive predictors of esophageal varices and red signs in patients with hepatitis B virus-related liver cirrhosis.Methods: This retrospective study included 356 patients with hepatitis B virus-related liver cirrhosis after applying inclusion and exclusion criteria among 661 patients. All patients underwent endoscopy, ultrasonography, laboratory examinations, and computed tomography/magnetic resonance imaging. Univariate and multivariate logistic regression analysis were performed, and prediction models for esophageal varices and red signs were constructed.Results: Multivariate analysis revealed that spleen diameter, splenic vein diameter, and lymphocyte ratio were independent risk factors for esophageal varices and red signs. On this basis, we proposed two models: i) a spleen diameter-splenic vein diameter-lymphocyte ratio-esophageal varices prediction model (SSL-EV model); and ii) a spleen diameter-splenic vein diameter-lymphocyte ratio-red sign prediction model (SSL-RS model). The areas under the receiver operating characteristic curve for the two prediction models were 0.843 and 0.783, respectively. With a cutoff value of 1.55, the first prediction model had 81.3% sensitivity and 76.1% specificity for esophageal varices prediction. With a cutoff value of −0.20, the second prediction model had 72.1% sensitivity and 70.7% specificity for the prediction of red signs.Conclusions: We proposed a new statistical model, the spleen diameter-splenic vein diameter-lymphocyte ratio-red sign prediction model (SSL-RS model), to predict the presence of red signs non-invasively. Combined with the spleen diameter-splenic vein diameter-lymphocyte ratio-esophageal varices prediction model (SSL-EV model), these non-invasive prediction models will be helpful in guiding clinical decision-making and preventing the occurrence of esophageal variceal bleeding.

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Red cell distribution width-to-lymphocyte ratio

Cited by 8 publications

References 29 publications

The Potential Role of Hematological and Biochemical Parameters in Pregnant Women with Viral Infection

The Potential Role of Hematological and Biochemical Parameters in Pregnant Women with Viral Infection

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

Non-Invasive Prediction Models for Esophageal Varices and Red Signs in Patients With Hepatitis B Virus-Related Liver Cirrhosis

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