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

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.

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

10.21203/rs.3.rs-31723/v2 ◽

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.

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

Journal of Diabetes Research ◽

10.1155/2020/5237840 ◽

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

Mediators of Inflammation ◽

10.1155/2021/6621101 ◽

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.

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

Journal of Cardiothoracic Surgery ◽

10.1186/s13019-021-01515-w ◽

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.

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

10.21203/rs.3.rs-358079/v1 ◽

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.

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

Frontiers in Pediatrics ◽

10.3389/fped.2020.607631 ◽

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 < 0.001). Multivariable logistic regression analysis demonstrated that male gender (OR = 3.222, p < 0.001), incomplete KD (OR = 1.968, p = 0.031), greater platelet count (OR = 1.004, p < 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 (<2.94) (49.6 vs. 28.7%, p < 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.

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ARE C-REACTIVE PROTEIN AND HDL INDEPENDENT RISK FACTORS FOR STROKE?

Neurology Today ◽

10.1097/00132985-200503000-00018 ◽

2005 ◽

Vol 5 (3) ◽

pp. 75

Author(s):

Ed Susman

Keyword(s):

Risk Factors ◽

C Reactive Protein ◽

Reactive Protein ◽

Independent Risk Factors

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Analysis of perioperative risk factors for deep vein thrombosis in patients with femoral and pelvic fractures

Journal of Orthopaedic Surgery and Research ◽

10.1186/s13018-020-02131-5 ◽

2020 ◽

Vol 15 (1) ◽

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% 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 > 7 days, operative time > 2 h, 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.

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