The C-Reactive Protein/Albumin Ratio as a Predictor of Mortality in Patients with HBV-Related Decompensated Cirrhosis

Wang, Chun‐Jiang; Wu, Jianping; Wu-qiong, Zhou; Mao, Weilin; Huang, Hang-Bin

doi:10.7754/clin.lab.2019.190215

Cited by 8 publications

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“…In addition, Kocaturk et al suggested that acute ischemic stroke patients with a higher CAR had a lower survival probability [ 14 ]. A study conducted by Wang et al showed that a higher CAR was positively correlated with 30-day mortality in patients with hepatitis B virus-related decompensated cirrhosis [ 13 ]. Finally, Llop-Talaveron et al showed that a high CAR was positively associated with more complications during parenteral nutrition treatment [ 12 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of C-reactive protein to albumin ratio for mortality in acute kidney injury

Liu

2023

BMC Nephrol

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Background Inflammation plays an important role in the development of acute kidney injury (AKI). However, there are few studies exploring the prognostic influence of C-reactive protein to albumin ratio (CAR) among AKI patients. In this study, we investigated whether CAR could be a useful marker to predict the mortality of AKI. Methods A total of 358 AKI patients were extracted from the Medical Information Mart for Intensive Care III (MIMIC III) database. C-reactive protein (CRP) and albumin were measured at ICU admission. The clinical outcome was 365-day mortality. Cox proportional hazards model and Kaplan-Meier survival analysis were conducted to evaluate the association between CAR and outcome. Results Compared with patients in the survival group, nonsurvivors had higher CAR levels. The area under the receiver operating characteristic (ROC) curve of CAR was higher than that of CRP and albumin for mortality (0.64 vs. 0.63, 0.59, respectively). The cut-off point of CAR for mortality was 7.23. In Cox proportional-hazard regression analysis, CAR (hazards ratio (HR) =2.04, 95% confidence interval (CI) =1.47-2.85, p < 0.001 for higher CAR) and Simplified Acute Physiology Score II (HR = 1.02, 95%CI = 1.00-1.03, p = 0.004) were independent predictors of 365-day mortality. Conclusions Our study demonstrated that a higher level of CAR was associated with 365-day mortality in AKI patients.

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Section: Discussionmentioning

confidence: 99%

Prognostic value of C-reactive protein to albumin ratio for mortality in acute kidney injury

Liu

2023

BMC Nephrol

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“…Liver cirrhosis diagnoses were confirmed by liver biopsy or a combination of clinical, biochemical, and radiological findings. All compensated liver cirrhosis cases in this study were liver cirrhosis with Child-Pugh class A disease [14,15].…”

Section: Methodsmentioning

confidence: 99%

Fibrosis Index Based on 4 Factors (FIB-4) Predicts Liver Cirrhosis and Hepatocellular Carcinoma in Chronic Hepatitis C Virus (HCV) Patients

Liu

Gao

2019

Med Sci Monit

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BackgroundAlthough both hepatic fibrosis progression and hepatitis C virus (HCV) contribute to hepatocellular carcinoma (HCC) development, early detection of HCC remains challenging. Therefore, we evaluated clinical markers of fibrosis in HCV patients to improve early HCC diagnosis.Material/MethodsOur retrospective study included 711 chronic HCV patients: 249 HCC patients and 462 non-HCC patients. To investigate the predictive ability of non-invasive scores for diagnosing HCC development, we compared 4 blood indices: fibrosis index based on 4 factors (FIB-4), aspartate aminotransferase-to-platelet count ratio index (APRI), aspartate aminotransferase-to-alanine aminotransferase ratio (AAR), and gamma-glutamyl transpeptidase-to-platelet count ratio (GPR).ResultsHCC patients had significantly higher scores for all fibrosis indices compared to chronic HCV patients without HCC. Moreover, the diagnostic performance of FIB-4 (area under curve, AUC: 0.961) was superior to that of APRI, AAR, and GPR (AUC: 0.636, 0.746, and 0.661, respectively) for prediction of HCC. FIB-4 also out-performed other indices in the prediction of cirrhotic cases, with an AUC of 0.775 compared to other scores, which ranged from an AUC of 0.597 to 0.671.ConclusionsTogether, these results suggest that FIB-4 is an appropriate diagnostic indicator of liver cirrhosis and HCC in chronic HCV patients in China.

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“…In a following investigation, Wang et al [40] showed that the CAR, MELD, and CP scores were positively correlated. The CAR and MELD scores were also found to be a significant predictor of mortality in HBV-DeCi patients.…”

Section: Crp To Albumin Ratio (Car)mentioning

confidence: 96%

Review of Serum Biomarkers and Models Derived from Them in HBV-Related Liver Diseases

Mao

2020

Disease Markers

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A series of predictive scoring systems is available for stratifying the severity of conditions and assessing the prognosis in patients with HBV-related liver diseases. We show nine of the most popular serum biomarkers and their models (i.e., serum cystatin C, homocysteine, C-reactive protein, C-reactive protein to albumin ratio, aspartate aminotransferase to platelet ratio index, fibrosis index based on four factors, gamma-glutamyl transpeptidase to platelet ratio, albumin-bilirubin score, and gamma-glutamyl transpeptidase to albumin ratio) that have gained great interest from clinicians. Compared with traditional scoring systems, these serum biomarkers and their models are easily acquired, simple, and relatively inexpensive. In the present review, we summarize the latest studies focused on these serum biomarkers and their models as diagnostic and prognostic indexes in HBV-related liver diseases.

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The C-Reactive Protein/Albumin Ratio as a Predictor of Mortality in Patients with HBV-Related Decompensated Cirrhosis

Cited by 8 publications

References 0 publications

Prognostic value of C-reactive protein to albumin ratio for mortality in acute kidney injury

Prognostic value of C-reactive protein to albumin ratio for mortality in acute kidney injury

Fibrosis Index Based on 4 Factors (FIB-4) Predicts Liver Cirrhosis and Hepatocellular Carcinoma in Chronic Hepatitis C Virus (HCV) Patients

Review of Serum Biomarkers and Models Derived from Them in HBV-Related Liver Diseases

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