C reactive protein to albumin ratio as prognostic marker in primary and secondary myelofibrosis

2020 ◽  
Vol 61 (12) ◽  
pp. 2969-2974
Author(s):  
Marko Lucijanic ◽  
Davor Galusic ◽  
Ivan Krecak ◽  
Martina Sedinic ◽  
Ena Soric ◽  
...  
Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1709-1709
Author(s):  
Jongheon Jung ◽  
Eunyoung Lee ◽  
Weon Seo Park ◽  
Ju-Hyun Park ◽  
Hyeon-Seok Eom ◽  
...  

Abstract Introduction Diffuse large B cell lymphoma (DLBCL) is the most common highly aggressive non-Hodgkin lymphoma (NHL) worldwide. The International Prognostic Index (IPI) has been established as a useful prognostic marker, and there have been some proposed markers which could reflect tumor microenvironment including neutrophil, lymphocyte, platelet, serum globulin, ferritin and serum free light chain. C-reactive protein (CRP) is one of the commonly used inflammatory markers, and its clinical relevance has been suggested recently in various malignancies. Serum albumin is a representative marker for nutritional status, and previous studies have presented that hypoalbuminemia might be an indicator of cancer-related inflammation as well. In this point of view, C-reactive-to-albumin ratio (CAR) has been suggested as one of easily-accessible parameters which could be a robust prognostic marker in diverse malignancies such as lung cancer, gastric cancer and colorectal cancer. However, its clinical value has not been assessed in hematologic malignancies. In this study, we evaluated the prognostic effect of CAR in DLBCL. Methods This retrospective study included 186 patients who were histologically diagnosed with DLBCL and treated with R-CHOP (Rituximab, Cyclophosphamide, Doxorubicin, Vincristine and Prednisone) between 2006 and 2018 at National Cancer Center, Korea. One hundred forty one cases were identified whose baseline laboratory values including CRP and albumin were available, and then the medical records were reviewed. To define the appropriate cutoff value of CAR in patients with DLBCL, cutoff finder method was applied which had been suggested by Budczies et al., and the most discriminative point was designated by the value of 0.158. Clinical characteristics and outcomes including response rate, overall survival (OS) and progression-free survival (PFS) were investigated between high and low CAR group. Additionally, the clinical value of CAR was compared to the components of IPI for DLBCL as well. Results Of all patients, 73 (51.8%) were classified as high CAR group. Male was 42 (57.5%) in high CAR group and 37 (54.4%) in low CAR group. In terms of IPI, 21 (28.8%) were classified into high IPI (score of 4 or 5) in high CAR group - 6 (8.8%) in low CAR group in comparison. Hans criteria was applied to discriminate germinal center B-cell (GCB) subtype to non-GCB subtype by immunohistochemistry and after 12 patients removed due to missing GCB status, 56 (84.8%) in high CAR group was sorted to non-GCB type - 46 (73.0%) in low CAR group to be compared. The high CAR group showed significantly worse complete response (CR) rates to induction R-CHOP therapy (64.4% vs. 92.6%; p<0.001). Median cycles of induction chemotherapy was 6 in all patients and there was no significant difference between both groups (p=0.824). With a median follow-up of 32.5 months, the high CAR group revealed significantly worse 5-year OS (65.0 vs. 93.5%; p<0.0001) and 5-year PFS (53.5 vs. 80.7%; p<0.0001) (Figure 1). In univariable Cox analysis, high CAR was a statistically significant prognostic factor for both 5-year OS (HR 8.04, 95% CI 2.384-27.139; p=0.001) and 5-year PFS (HR 4.44, 95% CI 2.109-9.341; p<0.001). Along with CAR, all components of IPI was statistically significant for both OS and PFS, except age at diagnosis (HR 1.95, 95% CI 0.908-4.207, p=0.087) for 5-year OS. In multivariable analyses with adjustment for age (>60), stage (III, IV), lactate dehydrogenase (LDH) (>upper normal limit), Eastern Cooperative Oncology Group (ECOG) performance status (>1) and the number of extranodal involvement (>1), high CAR showed statistically significant results for both 5-year OS (HR 4.71, 95% CI 1.175-18.892; p=0.029) and 5-year PFS (HR 2.66, 95% CI 1.122-6.289; p=0.026) (Table 1). Conclusions In conclusion, CAR might play an additional role to IPI in prognostication of patients with DLBCL considering the fact that it is simple, objective and easy to obtain. Disclosures No relevant conflicts of interest to declare.


2016 ◽  
Vol 7 (11) ◽  
pp. 1406-1412 ◽  
Author(s):  
Yuan Zhang ◽  
Guan-Qun Zhou ◽  
Xu Liu ◽  
Lei Chen ◽  
Wen-Fei Li ◽  
...  

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kenji Yamagata ◽  
Satoshi Fukuzawa ◽  
Naomi Ishibashi-Kanno ◽  
Fumihiko Uchida ◽  
Hiroki Bukawa

AbstractThe systemic inflammatory response is known to be associated with poor outcomes in patients with various types of cancer. The C-reactive protein (CRP)/albumin (Alb) ratio (CAR) has been reported as a novel inflammation-based prognostic marker. We have evaluated the prognostic value of inflammatory markers for patients with oral squamous cell carcinoma (OSCC). The study population included 205 patients treated with OSCC between 2013 and 2018. The primary predictor variable was the inflammatory markers. The primary outcome variable was overall survival (OS). Univariate and multivariate analyses were performed using a Cox proportional hazards model to identify independent prognostic factors. The CAR had the highest area under the curve (AUC) values compared with other markers in the receiver operating characteristic (ROC) curve analysis. The cutoff value for CAR was 0.032 (AUC 0.693, P < 0.001). There was a significant difference in OS when patients were stratified according to CAR, with 79.1% for CAR < 0.032 and 35% for CAR ≥ 0.032 (P < 0.001). Cox multivariate analysis identified independent predictive factors for OS: age (hazard ratio [HR] 2.155, 95% confidence interval [CI] 1.262–3.682; P = 0.005), stage (HR 3.031, 95% CI 1.576–5.827; P = 0.001), and CAR (HR 2.859, 95% CI 1.667–4.904; P < 0.001). CAR (≥ 0.032 vs. < 0.032) is a good prognostic marker in patients with OSCC in terms of age and stage.


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