scholarly journals Pretreatment C-Reactive Protein/Albumin Ratio is Associated With Poor Survival in Patients With 2018 FIGO Stage IB-IIA HPV-Positive Cervical Cancer

2021 ◽  
Vol 27 ◽  
Author(s):  
Yinan Jiang ◽  
Haifeng Gu ◽  
Xiaojing Zheng ◽  
Baoyue Pan ◽  
Pingping Liu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Tumor Size ◽  
Predictive Value ◽  
Hpv Infection ◽  
Depth Of Invasion ◽  
Infection Status ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Stage Ib

Objectives: The present study aimed to identify the predictive value of inflammatory indexes stratified according to human papillomavirus (HPV) infection status in women with FIGO 2018 stage IB∼IIA cervical cancer. We also explored the influences of HPV infection status on the survival of cervical cancer patients.Methods: We collected data for 583 women with stage IB∼IIA cervical cancer in Sun Yat-sen University Cancer Center between 2009 and 2017. The t-test, chi-squared (χ2) test and Fisher’s exact test were applied to compare the differences of inflammatory indexes and clinicopathological features between HPV-positive and HPV-negative groups. Univariate and multivariate analyses were used to identify clinicopathological factors that were associated with the prognosis of cervical cancer patients.Results: There were no differences in overall survival (OS) and progression-free survival (PFS) between HPV-positive and HPV-negative groups. In HPV-positive group, the maximum tumor size, neoadjuvant chemotherapy and the body mass index (BMI) correlated significantly with C-reactive protein/albumin ratio (CAR). The maximum tumor size and the prognostic nutritional index (PNI) correlated significantly with the platelet-lymphocyte ratio (PLR). The maximum tumor size, neoadjuvant chemotherapy and PLR correlated significantly with PNI. Univariate and multivariate analyses showed that the depth of tumor invasion (HR: 3.651, 95% CI: 1.464–9.103, p = 0.005; HR: 2.478, 95% CI: 1.218–5.043, p = 0.012) and CAR (HR: 5.201, 95% CI: 2.080–13.004, p < 0.0001; HR: 2.769, 95% CI: 1.406–5.455, p = 0.003) were independent predictors of poor OS and PFS. PNI was an independent protective factor of OS (HR: 0.341, 95% CI: 0.156–0.745, p = 0.007). PLR was an independent factor of PFS (HR: 1.991, 95% CI: 1.018–3.894, p = 0.044). In HPV-negative group, BMI correlated significantly with CAR. Only depth of invasion (HR: 9.192, 95% CI: 1.016–83.173, p = 0.048) was the independent predictor of poor OS, and no inflammation indexes were independent predictors of prognosis.Conclusion: In patients with HPV-positive cervical cancer, depth of invasion, PNI and CAR are independent factors of OS, and depth of invasion, PLR and CAR are independent factors for PFS. For patients with HPV-negative disease, no inflammation indexes had predictive value for prognosis. The predictive value of inflammation indexes on prognosis is more significant in patients with HPV-positive cervical cancer. Stratification of HPV infection status promotes a more precise clinical application of inflammation indexes, thus improving their accuracy and feasibility.

scholarly journals Pretreatment C-reactive protein/albumin ratio is associated with poor survival in patients with stage IB-IIA cervical cancer

2017 ◽  
Vol 7 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Weiwei Zhang ◽  
Kejun Liu ◽  
Bin Ye ◽  
Weijiang Liang ◽  
Yazhou Ren
Keyword(s):  
Cervical Cancer ◽  
C Reactive Protein ◽  
Poor Survival ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Stage Ib

scholarly journals Predictive value of C-Reactive Protein/Albumin ratio in patients with chronic complicated diabetes mellitus

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Muharrem Bayrak
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Complications ◽  
Predictive Value ◽  
Blood Parameters ◽  
Receiver Operating Curve ◽  
Control Group ◽  
Diabetic Patients ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein

Objective: To investigate the relationship between serum C-reactive protein (CRP)/albumin (ALB) ratio and complication occurrence in patients with Type-II diabetes mellitus with at least one chronic complication. Methods: The CAR, demographic characteristics, and other parameters of 108 patients with at least one chronic diabetic complication who attended to the internal medicine outpatient clinic between January 1, 2017, and September 1, 2018, were retrospectively evaluated. Healthy control subjects who did not have any systemic or infectious diseases were also included in the study. I compared the CAR, demographics, and other blood parameters between the two groups were compared. Results: The mean CAR levels were significantly higher in diabetic patients with at least one complication compared to the control group (0.15 [0.07 - 0.29] vs 0.07 [0.07 - 0.07], respectively, p<0.001). There was no significant correlation between CAR and diabetic complications, including neuropathy, nephropathy, coronary artery disease, and retinopathy in the patient group (p>0.05 for all). In the receiver operating curve (ROC) analysis, there was no significant cut-off point for CAR predicting diabetic complications. Conclusions: Although serum CAR levels were significantly higher in complicated diabetic patients compared to controls, any validated CAR value for predicting diabetic complications were not observed. doi: https://doi.org/10.12669/pjms.35.6.618 How to cite this:Bayrak M. Predictive value of C-Reactive Protein/Albumin ratio in patients with chronic complicated diabetes mellitus. Pak J Med Sci. 2019;35(6):1616-1621. doi: https://doi.org/10.12669/pjms.35.6.618 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Predictive Value of C-Reactive Protein-to-Albumin Ratio for Neonatal Sepsis

2021 ◽  
Vol Volume 14 ◽  
pp. 3207-3215
Author(s):  
Tiewei Li ◽  
Xiaojuan Li ◽  
Yulei Wei ◽  
Geng Dong ◽  
Jianwei Yang ◽  
...  
Keyword(s):  
Neonatal Sepsis ◽  
Predictive Value ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein

Predictive value of C-reactive protein/albumin ratio in acute pancreatitis

2017 ◽  
Vol 16 (4) ◽  
pp. 424-430 ◽  
Author(s):  
Mustafa Kaplan ◽  
Ihsan Ates ◽  
Muhammed Yener Akpinar ◽  
Mahmut Yuksel ◽  
Ufuk Baris Kuzu ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Predictive Value ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein

scholarly journals C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19

2022 ◽  
Author(s):  
Aliye Çelikkol ◽  
Eda Çelik Güzel ◽  
Mustafa Doğan ◽  
Berna Erdal ◽  
Ahsen Yilmaz
Keyword(s):  
Disease Severity ◽  
Predictive Value ◽  
Rt Pcr ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Cell Counts ◽  
Nonparametric Distribution ◽  
Significant Difference

Abstract Objectives As a result of developed generalized inflammation, the main prognostic factor determining morbidity and mortality in coronavirus disease 2019 (COVID-19) patients is acute respiratory distress syndrome. The purpose of our study was to define (1) the laboratory tests that will contribute to the diagnosis and follow-up of COVID-19 patients, (2) the differences between the laboratory-confirmed (LC), unconfirmed (LUC), and control (C) groups, and (3) the variation between groups of acute-phase reactants and biomarkers that can be used as an indicator of disease severity and inflammation. Materials and Methods A total of 102 patients undergoing treatment with COVID-19 interim guidelines were evaluated. Reverse transcriptase-polymerase chain reaction (RT-PCR) test was positive in 56 (LC), classified as mild or severe, and negative in 46 (LUC) patients. In addition, 30 healthy subjects (C) with negative RT-PCR tests were also evaluated.All statistical analyses were performed with the SPSS 22.0 program and the p-values for significant findings were less than 0.05. Parametric/nonparametric distribution was determined by performing the Kolmogorov–Smirnov test for all groups. Student's t-test was used for variables with parametric distribution and the Mann–Whitney U-test for variables with the nonparametric distribution. A cut-off level for biomarkers was determined using the ROC (receiver operator characteristic) curve. Results In the LC group, platelet, platecrit, mean platelet volume, platelet diameter width, white blood cell, lymphocyte, eosinophil, neutrophil, immature granulocyte, immature lymphocyte, immature monocyte, large immune cell, and atypical lymphocyte counts among the complete blood count parameters of mature and immature cell counts showed a significant difference according to the C and LUC groups. C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and C-reactive protein-to-albumin ratio (CAR) indices were significantly elevated in LC patients and were significantly higher in patients classified as severe compared to mild. When CAR optimal cutoff was determined as 0.475, area under the curve was 0.934, sensitivity was 90.91%, specificity was 86.21%, positive predictive value was 92.59%, and negative predictive value was 83.33%. The diagnostic accuracy for CAR was 89.29%. Conclusion The CAR index with the highest diagnostic value and the highest predictability could be the most useful biomarker in the diagnosis and evaluation of disease severity in COVID-19 patients.

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