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.

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 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 Acute kidney injury at early stage as a negative prognostic indicator of patients with COVID-19: a hospital-based retrospective analysis

2020 ◽  
Author(s):  
Shen Xu ◽  
Lin Fu ◽  
Jun Fei ◽  
Hui-Xian Xiang ◽  
Ying Xiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Early Stage ◽  
Kidney Injury ◽  
Oxygenation Index ◽  
Prognostic Indicator ◽  
Critical Ill Patients ◽  
Patients With Diabetes ◽  
Independent Risk Factors ◽  
Critical Ill

AbstractCoronavirus disease 2019 (COVID-19) is a newly emerged infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and has been pandemic all over the world. This study described acute kidney injury (AKI) at early stage of COVID-19 and its clinical significance. Three-hundred and fifty-five COVID-19 patients with were recruited and clinical data were collected from electronic medical records. Patient’s prognosis was tracked and risk factors of AKI was analyzed. Of 355 COVID-19 patients, common, severe and critical ill cases accounted for 63.1%, 16.9% and 20.0%, respectively. On admission, 56 (15.8%) patients were with AKI. Although AKI was more common in critical ill patients with COVID-19, there was no significant association between oxygenation index and renal functional indices among COVID-19 patients with AKI. By multivariate logistic regression, male, older age and comorbidity with diabetes were three important independent risk factors predicting AKI among COVID-19 patients. Among 56 COVID-19 patients with AKI, 33.9% were died on mean 10.9 day after hospitalization. Fatality rate was obviously higher among COVID-+19 patients with AKI than those without AKI (RR=7.08, P<0.001). In conclusion, male elderly COVID-19 patients with diabetes are more susceptible to AKI. AKI at early stage may be a negative prognostic indicator for COVID-19.

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 Risk factors and prognosis of hypoalbuminemia in surgical septic patients

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1267 ◽  
Author(s):  
Jia-Kui Sun ◽  
Fang Sun ◽  
Xiang Wang ◽  
Shou-Tao Yuan ◽  
Shu-Yun Zheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Lactate ◽  
Early Stage ◽  
Albumin Level ◽  
Multiple Organ ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Reactive Protein ◽  
Retrospective Clinical Study ◽  
Independent Risk Factors

The aim of this study was to investigate the risk factors of hypoalbuminemia and effects of different albumin levels on the prognosis of surgical septic patients. We preformed a retrospective clinical study including 135 adult patients from September 2011 to June 2014. The albumin levels and severity markers were recorded during the first 48 h after enrollment, and logistic regression analyses were used to determine the risk factors. The outcomes of patients with different albumin levels were also compared. The acute physiology and chronic health evaluation II (APACHE II) score (OR 1.786, 95% CI [1.379–2.314],P< 0.001), C-reactive protein (CRP) (OR 1.016, 95% CI [1.005–1.027],P= 0.005), and blood lactate (OR 1.764, 95% CI [1.141–2.726],P= 0.011) were established as the independent risk factors of hypoalbuminemia in patients with surgical sepsis. The severity markers and outcomes of patients with albumin levels ≤20 g/L were significantly worse than that of 21–25 g/L and ≥26 g/L, whereas the latter two groups had similar prognosis. Every 1 g/L decrease of albumin level below the optimal cut-off (23 g/L) was associated with a 19.4% increase in hospital mortality and a 28.7% increase in the incidence of multiple organ dysfunction syndrome. In conclusion, APACHE II score (≥14.5), CRP (≥34.25 mg/L), and blood lactate (≥.35 mmol/L) were established as the independent risk factors of hypoalbuminemia in the early stage of surgical sepsis. Patients with baseline albumin level ≤20 g/L had worse prognosis than that of albumin level ≥21 g/L. Albumin levels were negatively correlated the prognosis of surgical sepsis when below about 23 g/L.

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 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 Compare and correlate the levels of lipoprotein (a) and high-sensitive C-reactive protein in coronary heart disease with control

2019 ◽  
Vol 6 (3) ◽  
pp. 691
Author(s):  
Kamal Lochan Behera ◽  
Ashok Vankayala ◽  
Suresh Babu Sayana ◽  
D. S. S. K. Raju
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Inflammatory Marker ◽  
Case Control ◽  
C Reactive Protein ◽  
Lipoprotein A ◽  
Reactive Protein ◽  
Patients With Diabetes ◽  
Hs Crp

Background: The incidence of ischemic heart disease/ myocardial infarction is rapidly increasing in India. However, the traditional risk factors alone could not explain this excess of Coronary Heart Disease (CHD). So, we are in need of a tool to assess the severity and prognosis of these acute coronary syndromes. Lipoprotein (a) [Lp(a)] and High Sensitive C-Reactive Protein (hs-CRP) have been recognised as independent risk factors for CHD in many retrospective case control studies. As the data shows inconsistency in the prediction of risk by Lp(a) and hs-CRP, the study is carried out to compare and correlate the levels of Lp(a) and hs-CRP in coronary heart disease patients with controls.Methods: An observational case control study was conducted at Maharaja’s Institute of Medical Sciences, Nellimarla, with 120 participants. 80 admitted with CHD were categorised as type 2 diabetic and non-diabetic. Remaining 40 participants were age matched controls, who have attended the OP for general health check-up. Samples collected from the participants were analysed for Lp(a), hs-CRP and HbA1c.Results: Lp(a) levels were significantly elevated in CHD patients with diabetes (69.2±27.5) and non-significant in CHD patients without diabetes (50.4±24.3) as compared to their controls (36.6±22.5). There was significant correlation and elevation of hs-CRP in CHD patients with diabetes (6.0±2.6) and without diabetes (3.7±2.0) as compared to their controls (0.7±0.4).Conclusions: The present study shows a lack of association of Lp(a) levels in CHD patients with and without diabetes. A strong correlation of the inflammatory marker, hs-CRP was observed between the CHD patients with and without diabetes and even as compared to their controls. It may be concluded that hs-CRP is a better and independent marker than Lp(a) in patients with CHD.

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.

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