C Reactive Protein
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2021 ◽  
Vol 11 ◽  
Author(s):  
Yidi Wang ◽  
Keyi Wang ◽  
Jinliang Ni ◽  
Houliang Zhang ◽  
Lei Yin ◽  
...  

BackgroundInflammation is widely considered an important hallmark of cancer and associated with poor postoperative survival. The objective of this study is to assess the significance of preoperative C-NLR, a new inflammation-based index that includes preoperative C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR), on therapeutic outcomes for bladder cancer (BC) patients after radical cystectomy (RC).Materials and MethodsBC patients who underwent RC between 2010 and 2019 were retrospectively analyzed from our medical center. The predictive effect of CRP, NLR, and C-NLR on the survival of BC patients were analyzed by the receiver operating characteristic (ROC) curves. The relationship between C-NLR and postoperative survival was investigated by Cox regression. The corresponding nomograms were built based on the Cox regression results of overall survival (OS) and disease-free survival (DFS), which were further validated by ROC curves, decision curve analysis (DCA) curves, and calibration curves.ResultsOf the 199 eligible patients, 83 (41.70%) were classified as high C-NLR group and the remaining 116 (58.30%) were classified as low C-NLR group. ROC analysis showed that C-NLR had the largest area under curve (AUC) compared to CRP and NLR. Multivariate analysis revealed that T-stage and C-NLR [high C-NLR vs. low C-NLR, hazard ratio (HR) = 2.478, 95% confidence interval (CI), 1.538–3.993, p < 0.001] were independent predictors of OS, whereas T-stage, M-stage, and C-NLR (high C-NLR vs. low C-NLR, HR = 2.817, 95% CI, 1.667–4.762, p < 0.001) were independent predictors of DFS. ROC and DCA analysis demonstrated better accuracy and discrimination of 3- and 5-year OS and DFS with C-NLR-based nomogram compared to TNM stage. The calibration curve reconfirmed the accurate predicting performance of nomograms.ConclusionC-NLR is a reliable predictor of long-term prognosis of BC patients after RC and will contribute to the optimization of individual therapy for BC patients.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Sukhdeep Kaur ◽  
Kunwarpal Singh

Introduction. Early-onset neonatal sepsis is a major cause of morbidness and death in newborn children. Its timely diagnosis is usually a challenge in developing countries like India. Aim. To study the efficacy of C-reactive protein (CRP), micro-ESR, and gastric aspirate for polymorphs in the diagnosis of early-onset neonatal sepsis. Materials and Methods. This study included sixty term and preterm children, inborn and referred cases. The children who presented before day seven of life with clinical suspicion of sepsis or who were at high risk of developing sepsis were included. These were further investigated. Significant values for screening tests were taken as C − reactive   protein > 0.6   mg / dl , micro-ESR—after 1 hour, fall in the column of blood in capillary tube was measured, and result was taken as mm fall in 1 hr, and gastric aspirate for polymorphs > 5   polymorphs / HPF . Sepsis screen positive result was 2 or more positive tests. The statistical evaluation was done using Fisher, and ANOVA tests using SPSS 20.0 version. Results. Sixty children were included in the study with forty as the referred ones. Most of them had tachypnea (45%). CRP showed high sensitivity, whereas micro-ESR and gastric aspirate for polymorphs showed high specificity. Conclusions. Neonatal sepsis screening is required for the detection of infection as the blood culture report may not be positive in all the cases, and even if positive, the result takes few hours. CRP showed high sensitivity, whereas micro-ESR and gastric aspirate for polymorphs showed high specificity independently as well as when combined.


2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Ruifang Liu ◽  
Fangxing Xu ◽  
Qian Ma ◽  
Yujie Zhou ◽  
Tongku Liu

Background. C-reactive protein (CRP) is one of the most common oxidative indexes affected by many diseases. In recent years, there have been many studies on CRP, but the relationship between CRP levels and the cardiovascular risk in the Chinese young female population is still unclear. The purpose of this work is to explore the predictive value of CRP for the cardiovascular risk in the Chinese young female population. Methods. The study is conducted by 1 : 1 case-control to retrospectively analyze 420 young women with acute coronary syndrome (ACS group) who underwent percutaneous coronary intervention (PCI) and 420 young women (control group) who underwent coronary angiography (CAG) to exclude coronary heart disease from January 2007 to December 2016. All patients are divided into three subgroups according to CRP values: subgroup 1: CRP < 1.0   mg / L ( n = 402 ); subgroup 2: 1.0   mg / L ≤ CRP ≤ 3.0   mg / L ( n = 303 ); subgroup 3: CRP > 3.0   mg / L ( n = 135 ). The levels of CRP were observed in the two groups and three subgroups. Results. A total of 840 patients were analyzed. The mean duration of follow-up was 66.37 ± 30.06 months. The results showed that the level of CRP in the ACS group was significantly higher than that in the control group ( 1.30 ± 1.70 vs. 3.33 ± 5.92 , respectively, p < 0.001 ), and patients with higher CRP levels were associated with a significantly increased rate of major adverse cardiovascular events (MACE) (7.0% vs. 8.9% vs. 19.30%, respectively, p < 0.05 ). After adjustment for baseline covariates, CRP level was still an independent predictor for the incidence of MACE, either as a continuous variable or as a categorical variable. There was a significantly higher rate of all-cause mortality and myocardial infarction in patients with higher CRP values during follow-up. Conclusions. The research results show that high CRP is associated with increased risk of ACS in the Chinese young female population. Risk stratification with CRP as an adjunct to predict clinical risk factors might be useful in the Chinese young female population.


2021 ◽  
Vol Volume 14 ◽  
pp. 5121-5129
Author(s):  
Yu-Ting Tseng ◽  
Pei-Yun Chou ◽  
Ming-Hong Tai ◽  
Chia-Yen Dai ◽  
Susan Shin-Jung Lee ◽  
...  

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