Is C-reactive protein to albumin ratio an indicator of poor prognosis in Bell’s palsy?

2019 ◽  
Vol 277 (1) ◽  
pp. 115-119 ◽  
Author(s):  
Serkan Cayir ◽  
Omer Hizli ◽  
Serkan Kayabasi
2020 ◽  
Author(s):  
Yang Zou ◽  
Mingchun Zhong ◽  
Hui Zeng ◽  
Xiaohua Chen ◽  
Guotai Sheng

Abstract Background Previous studies have shown that both C-reactive protein (CRP) and albumin (Alb) are the prognostic factors of cardiovascular. However, the prognostic value of C-reactive protein to albumin ratio (CAR) in patients with stable coronary artery disease (SCAD) is unclear. Methods This was a retrospective cohort study that continuously enrolled 204 patients with newly diagnosed SCAD between October 2014 and October 2017; the mean follow-up time was 793.75 ± 430.26 days. The Cox proportional hazard model was used to evaluate the prognostic value of CAR in patients with SCAD. Results In the Kaplan–Meier analysis, the long-term MACE (major adverse cardiac events) free survival rate of patients with high CAR levels decreased significantly (P = 0.015). Of the note, after adjusting for other covariates in multivariate analysis, CAR was still independently positively correlated with poor prognosis in SCAD patients (HR = 1.03, 95% CI:1.01–1.06, P = 0.02, P for trend = 0.024). Additionally, we identified a nonlinear association between CAR and poor prognosis of SCAD by the generalized additive model (GAM). Then, through the two-piecewise linear regression model, we calculated that the inflection point of CAR was 3.933 (log-likelihood ratio test P = 0.02). When CAR ≤ 3.933, there was a positive correlation between CAR and MACE in patients with SCAD (HR:1.48, 95% CI:1.10–1.99, P = 0.009). While on the right hand of the inflection point (CAR > 3.933), the positive correlation between the two tends to be saturated (HR:1.01, 95% CI:0.97–1.05, P = 0.64). Conclusions This study indicated an association between higher CAR levels and increased risk of MACE in patients with SCAD for the first time, and measurement of CAR at admission may be a valuable predictor of the prognostic outcome in patients with SCAD treated by the percutaneous coronary intervention.


2019 ◽  
Vol 39 (11) ◽  
pp. 6283-6290 ◽  
Author(s):  
TERUHISA SAKAMOTO ◽  
YAKUKI YAGYU ◽  
EI UCHINAKA ◽  
MASAKI MORIMOTO ◽  
TAKEHIKO HANAKI ◽  
...  

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Runwen Liu ◽  
Yunqiang Cai ◽  
He Cai ◽  
Yajia Lan ◽  
Lingwei Meng ◽  
...  

Abstract Background With the recent emerge of dynamic prediction model on the use of diabetes, cardiovascular diseases and renal failure, and its advantage of providing timely predicted results according to the fluctuation of the condition of the patients, we aim to develop a dynamic prediction model with its corresponding risk assessment chart for clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy by combining baseline factors and postoperative time-relevant drainage fluid amylase level and C-reactive protein-to-albumin ratio. Methods We collected data of 251 patients undergoing LPD at West China Hospital of Sichuan University from January 2016 to April 2019. We extracted preoperative and intraoperative baseline factors and time-window of postoperative drainage fluid amylase and C-reactive protein-to-albumin ratio relevant to clinically relevant pancreatic fistula by performing univariate and multivariate analyses, developing a time-relevant logistic model with the evaluation of its discrimination ability. We also established a risk assessment chart in each time-point. Results The proportion of the patients who developed clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy was 7.6% (19/251); preoperative albumin and creatine levels, as well as drainage fluid amylase and C-reactive protein-to-albumin ratio on postoperative days 2, 3, and 5, were the independent risk factors for clinically relevant postoperative pancreatic fistula. The cut-off points of the prediction value of each time-relevant logistic model were 14.0% (sensitivity: 81.9%, specificity: 86.5%), 8.3% (sensitivity: 85.7%, specificity: 79.1%), and 7.4% (sensitivity: 76.9%, specificity: 85.9%) on postoperative days 2, 3, and 5, respectively, the area under the receiver operating characteristic curve was 0.866 (95% CI 0.737–0.996), 0.896 (95% CI 0.814–0.978), and 0.888 (95% CI 0.806–0.971), respectively. Conclusions The dynamic prediction model for clinically relevant postoperative pancreatic fistula has a good to very good discriminative ability and predictive accuracy. Patients whose predictive values were above 14.0%, 8.3%, and 7.5% on postoperative days 2, 3, and 5 would be very likely to develop clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.


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