scholarly journals Predictive value of postoperative C-reactive protein-to-albumin ratio in anastomotic leakage after esophagectomy

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Chi Zhang ◽  
Xiao Kun Li ◽  
Li Wen Hu ◽  
Chao Zheng ◽  
Zhuang Zhuang Cong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Anastomotic Leakage ◽  
Operation Time ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Potential Risk Factors ◽  
Independent Risk Factors ◽  
The Many

Abstract Introduction Among the many possible postoperative complications, anastomotic leakage (AL) is the most common and serious. Therefore, the purpose of this study was to explore the ability of various inflammatory and nutritional markers to predict postoperative AL in patients after esophagectomy. Methods A total of 273 patients were retrospectively evaluated and enrolled into this study. Perioperative, surgery-related, tumor-related and laboratory tests data were extracted and analyzed. The discriminatory ability and optimal cut-off value was evaluated according to the receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were performed to access the potential risk factors for AL. Results The overall incidence of AL was 12.5% (34/273). C-reactive protein-to-albumin ratio (CRP/ALB ratio) [AUC 0.943 (95% confidence interval (CI) = 0.911–0.976, p <  0.001)] and operation time [AUC 0.747 (95% CI = 0.679–0.815, p <  0.001)] had the greatest discrimination on AL prediction. Multivariate analysis demonstrated that CRP/ALB ratio and operation time were two independent risk factors for AL, and CRP/ALB ratio (OR = 102.909, p <  0.001) had an advantage over operation time (OR = 9.363, p = 0.020; Table 3). Conclusion Operation time and postoperative CRP/ALB ratio were two independent predictive indexes for AL. Postoperative CRP/ALB ratio greater than 3.00 indicated a high risk of AL. For patients with abnormal postoperative CRP/ALB ratio, early non-operative treatment or surgical intervention are needed to reduce the serious sequelae of AL.

scholarly journals Predictive Value of Postoperative C-reactive Protein-to-Albumin Ratio in Anastomotic Leakage after Esophagectomy

2021 ◽  
Author(s):  
Chi Zhang ◽  
XiaoKun Li ◽  
LiWen Hu ◽  
Chao Zheng ◽  
ZhuangZhuang Cong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Anastomotic Leakage ◽  
Operation Time ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Potential Risk Factors ◽  
Independent Risk Factors ◽  
The Many

Abstract Introduction: Among the many possible postoperative complications, anastomotic leakage (AL) is the most common and serious. Therefore, the purpose of this study was to explore the ability of various inflammatory and nutritional markers to predict postoperative AL in patients after esophagectomy. Methods: A total of 273 patients were retrospectively evaluated and enrolled into this study. Perioperative, surgery-related, tumor-related and laboratory tests data were extracted and analyzed. The discriminatory ability and optimal cut-off value was evaluated according to the receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were performed to access the potential risk factors for AL. Results: The overall incidence of AL was 12.5% (34/273). C-reactive protein-to-albumin ratio (CAR) [AUC 0.943 (95% confidence interval (CI) = 0.911–0.976, p < 0.001)] and operation time [AUC 0.747 (95% CI = 0.679–0.815, p < 0.001)] had the greatest discrimination on AL prediction. Multivariate analysis demonstrated that CAR and operation time were two independent risk factors for AL, and CAR (OR = 87.150, p < 0.001) had an advantage over operation time (OR = 11.178, p = 0.011). Conclusion: Operation time and postoperative CAR were two independent predictive indexes for AL. Postoperative CAR greater than 3.00 indicated a high risk of AL. For patients with abnormal postoperative CAR, early non-operative treatment or surgical intervention are needed to reduce the serious sequelae of AL.

Increased pretreatment C-reactive protein-to-albumin ratio predicts severe coronavirus disease 2019

2020 ◽  
Author(s):  
Xiaoyue Wang ◽  
Yan Xu ◽  
Huang Huang ◽  
Desheng Jiang ◽  
Chunlei Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Early Warning ◽  
Warning Signs ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Independent Risk Factors

Abstract Objective The aim of this study was to identify early warning signs for severe coronavirus disease 2019 (COVID-19). Methods We retrospectively analysed the clinical data of 90 patients with COVID-19 from Guanggu District of Hubei Women and Children Medical and Healthcare Center, comprising 60 mild cases and 30 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory blood test results were compared between the two groups. The cutoff values were determined by receiver operating characteristic curve analysis. Logistic regression analysis was performed to identify the independent risk factors for severe COVID-19. Results The patients with mild and severe COVID-19 had significant differences in terms of cancer incidence, age, pretreatment neutrophil-to-lymphocyte ratio (NLR), and pretreatment C-reactive protein-to-albumin ratio (CAR) ( P =0.000; P =0.008; P=0.000; P =0.000). The severity of COVID-19 was positively correlated with comorbid cancer, age, NLR, and CAR ( P <0.005). Multivariate logistic regression analysis showed that age, the NLR and the CAR were independent risk factors for severe COVID-19 (OR=1.086, P =0.008; OR=1.512, P =0.007; OR=17.652, P =0.001). Conclusion An increased CAR can serve as an early warning sign of severe COVID-19 in conjunction with the NLR and age.

scholarly journals C-Reactive Protein-to-Albumin Ratio Predicts Sepsis and Prognosis in Patients with Severe Burn Injury

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yaohua Yu ◽  
Weiwei Wu ◽  
Yanyan Dong ◽  
Jiliang Li
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Severe Burn ◽  
C Reactive Protein ◽  
Multivariate Logistic Regression ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Severe Burns ◽  
Independent Risk Factors

Background. Sepsis is a leading cause of mortality among severe burns. This study was conducted to investigate the predictive role of C-reactive protein-to-albumin ratio (CAR) for sepsis and prognosis in severe burns. Methods. Patients with severe burn injuries from 2013 to 2017 were enrolled and divided into septic and nonseptic groups based on the presence of sepsis within 30 days postburn. Independent risk factors for sepsis were performed by the univariate and multivariate logistic regression analyses. The association between CAR level at admission and postburn 30-day mortality was designed via the Kaplan–Meier method. Results. Of all the 196 enrolled patients, 83 patients developed sepsis within 30 days postburn injury, with an incidence of 42.3%. TBSA percentage (OR: 1.65, 95% CI: 1.17-2.32, P = 0.014 ) and CAR at admission (OR: 2.25, 95% CI: 1.33-3.56, P = 0.009 ) were the two independent risk factors for sepsis in severe burns by the multivariate logistic regression analysis. A higher CAR level (≥1.66) at admission was associated with a lower postburn 30-day survival rate ( P = 0.005 ). Conclusions. The CAR level at admission was an independent risk factor for sepsis and prognosis in severe burns.

scholarly journals C-Reactive Protein to Albumin Ratio for Predicting Coronary Artery Lesions and Intravenous Immunoglobulin Resistance in Kawasaki Disease

2020 ◽  
Vol 8 ◽  
Author(s):  
Chih-Min Tsai ◽  
Hong-Ren Yu ◽  
Kuo-Shu Tang ◽  
Ying-Hsien Huang ◽  
Ho-Chang Kuo
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Coronary Artery Lesions ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Ivig Resistance ◽  
Independent Risk Factors

Background: C-reactive protein (CRP) to albumin ratio (CRP/Alb) has emerged as a novel marker of inflammation, but few studies have evaluated the role of CRP/Alb ratio in Kawasaki disease (KD). Coronary artery lesions (CAL) in children with KD is a major acquired heart disease. We aimed to assess the association between CRP/Alb ratio and CAL formation in children with KD.Methods: This retrospective study enrolled children diagnosed with KD and divided them into two groups, KD with CAL and KD without CAL. We compared the difference in gender, age, laboratory data, intravenous immunoglobulin (IVIG) resistance rate, and incidence of CAL between the two groups. Multivariable logistic regression analysis was used to assess the independent risk factors of CAL. We adopted receiver operating characteristic (ROC) curve analysis to determine the predictive ability of CRP/Alb ratio in predicting CAL.Results: In total, 410 KD patients were reviewed, with 143 in the KD with CAL group and 267 in the KD without CAL group. KD children with CAL had a higher CRP/Alb ratio than those without CAL (3.14 ± 3.17 vs. 2.12 ± 2.04, p &lt; 0.001). Multivariable logistic regression analysis demonstrated that male gender (OR = 3.222, p &lt; 0.001), incomplete KD (OR = 1.968, p = 0.031), greater platelet count (OR = 1.004, p &lt; 0.001), higher CRP (OR = 0.982, p = 0.048), and higher CRP/Alb ratio (OR = 1.994, P = 0.016) were all independent risk factors for predicting CAL. KD children with a high CRP/Alb ratio (≥2.94) had a higher incidence rate of CAL and IVIG resistance than those with a low CRP/Alb ratio (&lt;2.94) (49.6 vs. 28.7%, p &lt; 0.001 and 11.6 vs. 3.5%, p = 0.001, respectively).Conclusions: This report is the first to show the role of CRP/Alb ratio in KD children. CRP/Alb ratio can serve as a novel predicting marker for CAL formation and IVIG resistance in KD.

scholarly journals Hyperglycemia, hyperadiposity and leukocytosis are independent risk factors for higher serum C‐reactive protein in free‐living adults

2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
Fernando Moreto ◽  
Rodrigo Minoru Manda ◽  
Gabriel Augusto Torezan ◽  
Okesley Teixeira ◽  
Roberto Carlos Burini
Keyword(s):  
Risk Factors ◽  
C Reactive Protein ◽  
Free Living ◽  
Reactive Protein ◽  
Independent Risk Factors

scholarly journals C-reactive protein predicts complications in community-associated S. aureus bacteraemia: a cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Carly L. Botheras ◽  
Steven J. Bowe ◽  
Raquel Cowan ◽  
Eugene Athan
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Potential Risk ◽  
Univariate Analysis ◽  
Foot Ulcer ◽  
Entry Point ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Potential Risk Factors ◽  
Portal Of Entry

Abstract Background Staphylococcus aureus (S. aureus) bacteraemia is increasingly acquired from community settings and is associated with a mortality rate of up to 40% following complications. Identifying risk factors for complicated S. aureus bacteraemia would aid clinicians in targeting patients that benefit from expedited investigations and escalated care. Methods In this prospective observational cohort study, we aimed to identify risk factors associated with a complicated infection in community-onset S. aureus bacteraemia. Potential risk factors were collected from electronic medical records and included: - patient demographics, symptomology, portal of entry, and laboratory results. Results We identified several potential risk factors using univariate analysis. In a multiple logistic regression model, age, haemodialysis, and entry point from a diabetic foot ulcer were all significantly protective against complications. Conversely, an unknown entry point of infection, an entry point from an indwelling medical device, and a C-reactive protein concentration of over 161 mg/L on the day of admission were all significantly associated with complications. Conclusions We conclude that several factors are associated with complications including already conducted laboratory investigations and portal of entry of infection. These factors could aid the triage of at-risk patients for complications of S. aureus bacteraemia.

scholarly journals Analysis of Perioperative Risk Factors for Deep Vein Thrombosis in Patients With Femoral and Pelvic Fractures

2020 ◽  
Author(s):  
Linqin Wu ◽  
Bo Cheng
Keyword(s):  
Risk Factors ◽  
Deep Vein Thrombosis ◽  
Blood Transfusion ◽  
Perioperative Period ◽  
Pelvic Fractures ◽  
C Reactive Protein ◽  
Vein Thrombosis ◽  
Reactive Protein ◽  
Independent Risk Factors ◽  
Deep Vein

Abstract Objective: Clinical characteristics, anticoagulant protocols and risk factors of deep Vein thrombosis (DVT) in patients with femoral and pelvic fractures were analyzed throughout the perioperative period to provide references for early identification and optimization of risk factors.Methods: This was a retrospective study. A total of 569 patients undergoing surgery of femoral and pelvic fractures from May 2018 to December 2019 were included. The Clinical data including general conditions,trauma, surgery,anticoagulant protocols and laboratory indexes were collected.According to the results of deep vein Doppler ultrasonography of the lower extremities, the patients were divided into non-DVT group and DVT group.Univariate analysis and multivariate logistic regression analysis were used to identify the independent risk factors of preoperative and postoperative DVT.Results: The incidence of DVT was 40.25%, PE was 1.93%, and preoperative DVT was 26.71%,which was higher than the incidence of postoperative DVT of 17.22%. Most of them were thrombus on the affected side (60.26%) and distal thrombus (81.66%).The average time of DVT formation was 6.55±0.47 days after trauma and 6.67±0.48 days after surgery. Chronic obstructive pulmonary disease(COPD), anemia, hypoproteinemia, non-anticoagulation before surgery, delayed anticoagulation after trauma and admission, high energy trauma, multiple injuries, drinking history, and advanced age were independent risk factors for perioperative DVT.The increased level of fibrinogen degradation products was an independent risk factor for preoperative DVT. These risk factors were identified to be independently associated with postoperative DVT, including intraoperative blood transfusion, postoperative blood transfusion, pulmonary infection, preoperative non-anticoagulation, postoperative delayed anticoagulation, preoperative waiting time > 7d, operative time > 2h, c-reactive protein, fibrinogen level, platelet count 1 day after surgery, c-reactive protein, fibrinogen, and hemoglobin levels 3 days after surgery, comminuted fracture.Conclusions: At present, anticoagulation and other DVT prevention and treatment programs have not changed the current situation that the incidence of DVT is still high. Through the analysis of the risk factors of DVT throughout the perioperative period, optimizing the perioperative blood transfusion, preoperative lung disease, hypoproteinemia, anemia, inflammation, etc., and surgery as soon as possible after trauma may further reduce its incidence.

scholarly journals C -reactive protein and albumin ratio for the diagnosis of complicated appendicitis in children

2019 ◽  
Author(s):  
Wei Feng ◽  
Qian-Yu Yang ◽  
Xu-Feng Zhao ◽  
Miao-Miao Li ◽  
Hua-Lei Cui
Keyword(s):  
Acute Appendicitis ◽  
Area Under The Curve ◽  
Complicated Appendicitis ◽  
Symptom Duration ◽  
Specific Marker ◽  
C Reactive Protein ◽  
Roc Curve Analysis ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Age Range

Abstract Background: No reliably specific marker for complicated appendicitis has been identified. Serum C-reactive protein (CRP) increases and albumin (ALB) decreases in patients with inflammation and infection. C-reactive protein and albumin ratio (CRP/ALB ratio) has been found associated with neonatal septicemia, inflammatory bowel disease and pancreatitis. However, its value in the diagnosis of complicated appendicitis has not been studied. The aim of this study was to evaluate the value of CRP/ALB ratio for predicting complicated appendicitis in children.Methods: A retrospective study of 232 children with acute appendicitis was conducted with assessment of age, gender, weight, symptom duration, albumin and blood routine indexes. According to intraoperative findings and postoperative pathological results, patients were divided into the simple appendicitis group (127 cases) and complicated appendicitis group (105 cases). SPSS version 17 was used to analyse the data.Results: Of the 232 patients, 118 (50.9%) were male and 114 (49.1%) were female. The age range was 1 to 15 years, the mean age of the patients was 8.30 ± 3.25 years. The CRP/ALB ratio was higher in complicated appendicitis compared with simple appendicitis(p<0.05). Logistic regression analysis showed that mononuclear cell (MC), CRP, procalcitonin (PCT) and CRP/ALB ratio were independent risk factors for complicated appendicitis in children. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of CRP/ALB ratio was higher than MC, PCT and CRP (0.946 vs 0.619 vs 0.843 vs 0.906). CRP/ALB ratio >1.43 was found to be a significant marker in predicting complicated appendicitis with 91.4 % sensitivity and 90.6 % specificity. Compared with CRP/ALB ratio=<1.43, patients with CRP/ALB ratio >1.43 had a 102.22 times higher chance of complicated appendicitis (95% CI:41.322 - 252.874).Conclusion: The CRP/ALB ratio is a novel and promising indicator to predict complicated appendicitis in children before operation，which is easy-to-measure and repeatable. Therefore, CRP/ALB ratio can provide a reference for the choice of surgical treatment for acute appendicitis in children.

scholarly journals Clinical Features and Risk Factors of ICU Admission for COVID-19 Patients with Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ming Lei ◽  
Kashuai Lin ◽  
Yaoqiu Pi ◽  
Xiaomei Huang ◽  
Lixin Fan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Respiratory Rate ◽  
Early Stage ◽  
Binary Logistic Regression ◽  
C Reactive Protein ◽  
Radiographic Findings ◽  
Icu Admission ◽  
Reactive Protein ◽  
Patients With Diabetes ◽  
Independent Risk Factors

Introduction. Previous studies of coronavirus disease 2019 (COVID-19) have focused on the general population. However, diabetes (DM) as one of the most common comorbidities is rarely studied in detail. This study is aimed at describing clinical characteristics and determining risk factors of ICU admission for COVID-19 patients with DM. Methods. Data were extracted from 288 adult patients with laboratory-confirmed COVID-19 from Guangzhou Eighth People’s Hospital. Demographic characteristics, laboratory results, radiographic findings, complications, and treatments were collected and compared between DM and non-DM groups. Binary logistic regression was used to identify the risk factors associated with ICU admission for COVID-19 patients with DM or non-DM. Results. COVID-19 patients with DM showed as older ages, higher levels of C-reactive protein (CRP), myoglobin, alanine transaminase (ALT), and aspartate transaminase (AST). They were also more prone to transfer to the intensive care unit (ICU) for treatment. Multiple regression analysis showed that the following were the independent risk factors for COVID-19 patients with DM that received ICU admission: each 1-year increase in age (odds ratio (OR), 1.07; 95% CI, 1.02-1.13; P = 0.007 ), respiratory rate over 24 times per minute (OR, 5.22; 95% CI, 2.26-16.58; P = 0.016 ), HbA1c greater than 7% (OR, 4.58; 95% CI, 1.82-10.55; P = 0.012 ), and AST higher than 40 U/L (OR, 2.96; 95% CI, 1.58-8.85; P = 0.022 ). In addition, each 1-year increase in age (OR, 1.05; 95% CI, 1.01-1.10; P = 0.006 ), diarrhea (OR, 4.62; 95% CI, 2.01-9.36; P = 0.022 ), respiratory rate over 24 times per minute (OR, 5.13; 95% CI, 1.18-16.82; P = 0.035 ), CRP greater than 10 mg/L (OR, 5.19; 95% CI, 1.37-13.25, P = 0.009 ), and TnI higher than 0.03 μg/L (OR, 6.48; 95% CI, 1.17-21.38; P = 0.036 ) were risk factors for ICU admission of COVID-19 patients with non-DM. Conclusions. The older age, respiratory rate over 24 times per minute, HbA1c greater than 7%, and AST higher than 40 U/L were risk factors of ICU admission for COVID-19 patients with diabetes. Investigating and monitoring these factors could assist in the risk stratification of COVID-19 patients with DM at an early stage.

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