scholarly journals Metabolic syndrome and its components reduce coronary collateralization in chronic total occlusion: An observational study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Tong Liu ◽  
Zheng Wu ◽  
Jinghua Liu ◽  
Yun Lv ◽  
Wenzheng Li
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Receiver Operating Characteristic ◽  
Chronic Total Occlusion ◽  
Independent Risk Factor ◽  
Operating Characteristic ◽  
Scoring Systems ◽  
Total Occlusion ◽  
The Poor ◽  
Receiver Operating

Abstract Background Metabolic syndrome (MetS) is an independent risk factor for the incidence of cardiovascular diseases. We investigated whether or to what extent MetS and its components was associated with coronary collateralization (CC) in chronic total occlusion (CTO). Methods This study involved 1653 inpatients with CTO. Data on demographic and clinical characteristics were collected by cardiovascular doctors. The CC condition was defined by the Rentrop scoring system. Subgroup analysis, mixed model regression analysis, scoring systems and receiver operating characteristic (ROC) curve analysis were performed. Results Overall, 1653 inpatients were assigned to the poor CC group (n = 355) and good CC group (n = 1298) with or without MetS. Compared to the good CCs, the incidence of MetS was higher among the poor CCs for all patients. Poor collateralization was present in 7.6%, 14.2%, 19.3%, 18.2%, 35.6% and 51.1% of the six groups who met the diagnostic criteria of MetS 0, 1, 2, 3, 4 and 5 times, respectively. For multivariable logistic regression, quartiles of BMI remained the risk factors for CC growth in all subgroups (adjusted OR = 1.755, 95% CI 1.510–2.038, P < 0.001 all patients; adjusted OR = 1.897, 95% CI 1.458–2.467, P < 0.001 non-MetS; and adjusted OR = 1.814, 95% CI 1.482–2.220, P < 0.001 MetS). After adjustment for potential confounding factors, MetS was an independent risk factor for CC growth in several models. Assigning a score of one for each component, the AUCs were 0.629 (95% CI 0.595–0.662) in all patients, 0.656 (95% CI 0.614–0.699) in MetS patients and 0.569 (95% CI 0.517–0.621) in non-MetS patients by receiver operating characteristic analysis. Conclusions MetS, especially body mass index, confers a greater risk of CC formation in CTO. The value of scoring systems should be explored further for CTO.

scholarly journals Metabolic Syndrome and Its Components Reduce Coronary Collateralization in Chronic Total Occlusion: an Observational Study

2021 ◽  
Author(s):  
Tong Liu ◽  
Zheng Wu ◽  
Jinghua Liu ◽  
Yun Lv ◽  
Wenzheng Li
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Receiver Operating Characteristic ◽  
Chronic Total Occlusion ◽  
Operating Characteristic ◽  
Total Occlusion ◽  
Score System ◽  
Receiver Operating Characteristic Curves ◽  
Score Systems ◽  
Receiver Operating

Abstract Background: Metabolic syndrome (METs) is an independent risks for the incidence of cardiovascular diseases. We investigated whether or to what extent the METs and its components was associated with coronary collateralization (CC) in chronic total occlusion (CTO).Methods: This study involved 1709 inpatients with CTO. Data on demographic and clinical characteristics were collected by cardiovascular doctors. The CC condition was defined by Rentrop score system. Subgroup analysis, mixed models regression analysis, score systems and receiver-operating characteristic curves (ROC) analysis were done. Results: Overall, 1709 inpatients were assigned to the Poor CC group (n = 370), good CC group (n = 1339) with or without METs. Compared to good CC, the incidence of METs was higher in poor CC for overall patients. Poor collateralization was present in 9.1%, 14.4%, 19.9%, 18.1%, 35.1% and 54.2% of the six groups, who met the diagnostic criteria of MetS 0, 1, 2, 3, 4 and 5 times. For multivariable logistic regression, quartiles of BMI remained the risk factors of CC growth in all subgroups (adjusted OR = 1.728, 95% CI 1.518-1.967, P < 0.001 all patient group , adjusted OR = 1.827, 95% CI 1.484-2.249, P < 0.001 No-METs group and adjusted OR = 1.771, 95% CI 1.484-2.115,P < 0.001 METs group). After adjustment for potential confounding factors, METs was an independent risk factors of CC growth in several models. Assigning a score of one for each components, this score system had significant predictive value for the CC conditions by Receiver-operating characteristic(AUC: 0.622, 95%CI: 0.588-0.655) .Conclusions: METs, especially for body mass index, confers greater risk for CC formation in CTO. Score systems may help to predict CC condition.

scholarly journals Metabolic Syndrome and Its Components Are Associated With Hypoxemia After Surgery for Acute Type A Aortic Dissection: an Observational Study

2021 ◽  
Author(s):  
Like Zhang ◽  
Lei Zhang ◽  
Zengren Zhao ◽  
Yun Liu ◽  
Juzeng Wang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Dissection ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Type A ◽  
Acute Type ◽  
Type A Aortic Dissection ◽  
Receiver Operating

Abstract Background: The aim of this study was to explore whether or to what extent metabolic syndrome (METs) and its components were associated with hypoxemia in acute type A aortic dissection (ATAAD) patients after surgery.Methods: This study involved 271 inpatients who underwent surgery. Demographic and clinical data were collected. Subgroup analysis, mixed model regression analysis, and receiver operating characteristic (ROC) curve analysis were performed, and a scoring system was evaluated.Results: The 271 inpatients were assigned to the hypoxemia group (n = 48) or no hypoxemia group (n = 223) regardless of METs status. Compared to the no hypoxemia group, the hypoxemia group had a higher incidence of METs. Hypoxemia was present in 0%, 3.7%, 19.8%, 51.5%, 90.0% and 100% in the groups of individuals who met the diagnostic criteria of MetS 0, 1, 2, 3, 4 and 5 times, respectively. In the multivariable logistic regression analysis, BMI quartile was still a risk factor for hypoxemia after adjustment for other risk factors. After adjustment for potential confounding factors, METs was an independent risk factor for hypoxemia in several models. After assigning a score for each METs component present, the AUCs were 0.852 (95% CI: 0.789–0.914) in all patients, 0.728 (95% CI: 0.573–0.882) in patients with METs and 0.744 (95% CI: 0.636–0.853) in patients without METs according to receiver operating characteristic analysis.Conclusions: METs, especially body mass index, confers a greater risk of hypoxemia in ATAAD after surgery.

scholarly journals Flexion Dysfunction of Atlanto-occipital Joint as a Risk Factor for Cervical Spondylosis

2020 ◽  
Author(s):  
Gong Long ◽  
Yi Ping ◽  
Tan Mingsheng
Keyword(s):  
Risk Factor ◽  
Receiver Operating Characteristic ◽  
Cervical Spondylosis ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Neck Disability Index ◽  
Curve Analysis ◽  
Control Group ◽  
Increased Risk ◽  
Receiver Operating

Abstract BACKGROUND: There exist varied craniocervical flexion angles from the teenagers to the elderly. To our best knowledge, there is no prior study to examine the role of range of motion (ROM) of the atlanto-occipital joint in the pathogenesis of cervical spondylosis (CS). The purpose of this study was to investigate the association between atlanto-occipital radiographic alignment in flexion and CS.METHODS: 232 CS patients, including 45 patients who accepted surgical treatment, were retrospectively reviewed. The angle between McGregor’s line and C1 line (O-C1 angle) was evaluated on images taken in flexion (F-OC) and neutral positions (N-OC) independently. The relationship between the FOC (FOC=F-OC—N-OC) and Neck Disability Index (NDI) was examined, and the involvement of the FOC in the onset of CS was analyzed. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off for detecting an increased risk of CS.RESULTS: The FOC showed a significant correlation with NDI(P<0.05). The mean FOC was significantly lower in the CS groups than in the control group (P<0.001). Logistic regression analysis showed involvement of the FOC in the onset of CS, and the threshold value according to receiver operating characteristic curve analysis was 4.2 degree, with the odds ratio of 8.2 (95% CI:6.4–10.0; P<0.001). CONCLUSION: Stiff atlanto-occipital joint, represented by low FOC, is an independent risk factor in the incidence of CS compared with healthy individuals. This parameter can help spine surgeons to identify these people to implement appropriate preventive and management steps.

Abstract 5582: Impact of a Concurrent Chronic Total Occlusion on Long-term Mortality in Hospital Survivors after ST Elevation Myocardial Infarction

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Bimmer E Claessen ◽  
Rene J van der Schaaf ◽  
Karel T Koch ◽  
jan Baan ◽  
Jan G Tijssen ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Risk Factor ◽  
Ejection Fraction ◽  
Chronic Total Occlusion ◽  
Independent Risk Factor ◽  
Left Ventricular Ejection ◽  
Primary Pci ◽  
Total Occlusion ◽  
Long Term Mortality

Background: Patients with multivessel disease (MVD) constitute a patient group with a high risk of mortality after STEMI. Recently, it was reported that the higher mortality in patients with MVD is determined by the presence of a chronic total occlusion (CTO) in a noninfarct-related artery. Due to the higher risk profile, the in-hospital mortality rate accounted for this unfavorable outcome, moreover, multivariate analysis did not correct for residual left ventricular ejection fraction (LVEF). Therefore, we studied the effect of a concurrent CTO on long-term mortality, excluding deaths in the first 30 days and correcting for LVEF. Methods: Between 1997 and 2005, we admitted 3309 patients with STEMI treated with primary PCI. We categorized patients as having single vessel disease (SVD), MVD without CTO and CTO based on the angiogram before PCI. LVEF was assessed with echocardiography by global assessment of ejection fraction within 30 days after primary PCI and classified as ≤40% or >40%. Stepwise Cox regression was used for multivariate analysis. Results: LVEF data were available for 1538 patients, of which 1485 (97%) survived the first 30 days after STEMI. SVD was present in 1013 patients (68%), MVD without CTO in 325 patients (22%) and a concurrent CTO in 147 patients (10%). Median duration of follow-up was 3.5 years (IQR 2.1–5.2 years). A total of 104 patients (7.0%) died; 61 (6.0%) in the SVD group, 25 (7.7%) in the MVD group and 18 (12%) in the CTO group (p=0.02). Median time to death was 2.1 years. After correction for the presence of MVD without CTO and differences in baseline variables (age>60 years, residual LVEF ≤40%, diabetes, hypercholesterolemia, smoking, previous MI and shock) the presence of a CTO in a noninfarct-related artery is an independent risk factor for death (Hazard ratio (HR) 1.7, 95% CI 1.0 –2.8, p=0.04). Other independent risk factors are age >60 years (HR 3.0, 95% CI 2.0 – 4.7, p<0.01) and residual LVEF ≤40% (HR 2.3, 95%CI 1.5–3.4, p<0.01) Conclusion: After primary PCI, the presence of a CTO in a noninfarct-related vessel, and not the mere presence of MVD, is a strong and independent risk factor for long-term mortality even when adjusted for residual LVEF ≤40% and excluding deaths in the first 30 days.

Using Receiver Operating Characteristic (ROC) Analysis to Evaluate Information-Based Decision-Making

2019 ◽  
pp. 764-776 ◽  
Author(s):  
Nan Hu
Keyword(s):  
Decision Making ◽  
Receiver Operating Characteristic ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Decision Rules ◽  
Scoring Systems ◽  
Roc Curves ◽  
Decision Tools ◽  
Classification Tool ◽  
Receiver Operating

Business operators and stakeholders often need to make decisions such as choosing between A and B, or between yes and no, and these decisions are often made by using a classification tool or a set of decision rules. Decision tools usually include scoring systems, predictive models, and quantitative test modalities. In this chapter, the authors introduce the receiver operating characteristic (ROC) curves and demonstrate, through an example of bank decision on granting loans to customers, how ROC curves can be used to evaluate decision making for information-based decision making. In addition, an extension to time-dependent ROC analysis is introduced in this chapter. The authors conclude this chapter by illustrating the application of ROC analysis in information-based decision making and providing the future trends of this topic.

Using Receiver Operating Characteristic (ROC) Analysis to Evaluate Information -Based Decision-Making

2018 ◽  
pp. 2213-2223
Author(s):  
Nan Hu
Keyword(s):  
Decision Making ◽  
Receiver Operating Characteristic ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Decision Rules ◽  
Scoring Systems ◽  
Roc Curves ◽  
Decision Tools ◽  
Classification Tool ◽  
Receiver Operating

Business operators and stakeholders often need to make decisions such as choosing between A and B, or between yes and no, and these decisions are often made by using a classification tool or a set of decision rules. Decision tools usually include scoring systems, predictive models, and quantitative test modalities. In this chapter, we introduce the receiver operating characteristic (ROC) curves and demonstrate, through an example of bank decision on granting loans to customers, how ROC curves can be used to evaluate decision making for information based decision making. In addition, an extension to time-dependent ROC analysis is introduced in this chapter. We conclude this chapter by illustrating the application of ROC analysis in information based decision making and providing the future trends of this topic.

Is Poor Hamstring Flexibility a Risk Factor for Hamstring Injury in Gaelic Games?

2019 ◽  
Vol 28 (7) ◽  
pp. 677-681
Author(s):  
Siobhán O’Connor ◽  
Noel McCaffrey ◽  
Enda F. Whyte ◽  
Michael Fop ◽  
Brendan Murphy ◽  
...  
Keyword(s):  
Risk Factor ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Hamstring Injury ◽  
Characteristic Curves ◽  
Receiver Operating Characteristic Curves ◽  
Previous Injury ◽  
Hamstring Injuries ◽  
Hamstring Flexibility ◽  
Receiver Operating

Context:Hamstring injuries are a leading cause of injury in Gaelic games. Hamstring flexibility as a risk factor for hamstring injury has not yet been examined prospectively in Gaelic games.Objective:To examine whether hamstring flexibility, using the modified active knee extension (AKE) test, and previous injury are risk factors for hamstring injury in Gaelic players and to generate population-specific AKE cutoff points.Design:Prospective cohort study.Setting:School and colleges.Patients (or Other Participants):Adolescent and collegiate Gaelic footballers and hurlers (n = 570).Intervention(s):The modified AKE test was completed at preseason, and hamstring injuries were assessed over the course of one season. Any previous hamstring injuries were noted in those who presented with a hamstring injury.Main Outcome Measures:Bilateral AKE scores and between-leg asymmetries were recorded. Receiver operating characteristic curves were implemented to generate cutoff points specific to Gaelic players. Univariate and backward stepwise logistic regression analyses were completed to predict hamstring injuries, hamstring injuries on the dominant leg, and hamstring injuries on the nondominant leg.Results:Mean flexibility of 64.2° (12.3°) and 64.1° (12.4°) was noted on the dominant and nondominant leg, respectively. Receiver operating characteristic curves generated a cutoff point of < 65° in the AKE on the nondominant leg only. When controlled for age, AKE on the nondominant leg was the only predictor variable left in the multivariate model (odds ratio = 1.03) and significantly predicted hamstring injury (χ2 = 9.20,P = .01). However, the sensitivity was 0% and predicted the same amount of cases as the null model. It was not possible to generate a significant model for hamstring injuries on the dominant leg (P > .05), and no variables generated aPvalue < .20 in the univariate analysis on the nondominant leg.Conclusions:Poor flexibility noted in the AKE test during preseason screening and previous injury were unable to predict those at risk of sustaining a hamstring strain in Gaelic games with adequate sensitivity.

scholarly journals Idade como fator de risco para diabetes mellitus gestacional/ Age as a risk factor for gestational diabetes mellitus

2019 ◽  
Vol 18 (2) ◽  
Author(s):  
Grasiela Martins Barros ◽  
Thais Medeiros Lima Guimarães ◽  
Lyvia Da Silva Figueiredo ◽  
Marcos Venícios de Oliveira Lopes ◽  
Helen Campos Ferreira ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Receiver Operating Characteristic ◽  
Rio De Janeiro ◽  
Operating Characteristic ◽  
Receiver Operating

Objetivo: Investigar o ponto de corte da idade para detecção de diabetes mellitus gestacional (DMG). Método: Estudo caso-controle com 416 gestantes acompanhadas no ambulatório de pré-natal de uma maternidade no Rio de Janeiro, RJ, Brasil. A análise da curva receiver operating characteristic foi aplicada aos dados para evidenciar valores com otimização da sensibilidade em função da especificidade. Resultados: Estima-se que a razão de chance de uma mulher com idade ≥25 anos desenvolver diabetes mellitus gestacional é 2,3 vezes maior. A idade ≥22,5 anos foi identificada como ponto que maximiza a chance para a diabetes mellitus gestacional. A chance de uma mulher com idade maior ou igual a 22,5 anos apresentar esta doença é 3,0 vezes maior do que em outra mulher com idade menor. Conclusão: O ponto de corte de idade que sugere necessidade de maior monitoramento de glicemia em gestantes é de 22,5 anos.

scholarly journals PBMCs to Stress-Associated miR-18a-5p and miR-22-3p Ratios as New Indicators of Metabolic Syndrome

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yuxiang Huang ◽  
Liqin Zhao ◽  
Yuxiang Yan ◽  
Jingyu Chen ◽  
Pengfei Liu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Receiver Operating Characteristic ◽  
Odds Ratio ◽  
Operating Characteristic ◽  
Mononuclear Cells ◽  
Southern China ◽  
Characteristic Curve ◽  
Roc Curve Analysis ◽  
Peripheral Blood Mononuclear ◽  
Receiver Operating

Purpose. Metabolic syndrome (MetS) is associated with chronic stress. miR-18a-5p and miR-22-3p are two miRNAs which can target the glucocorticoid receptor. This study looked at the changes in metabolic parameters and the predictive value of the peripheral blood mononuclear cells (PBMCs) to stress-associated miRNA ratios as new indicators in subjects with and without MetS in southern China. Patients and Methods. There were 81 participants (39 with MetS and 42 without MetS) in this cross-sectional study. The potential miRNAs were filtrated in the GEO database. The expression of miR-18a-5p and miR-22-3p in PBMCs was evaluated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The risk of miRNA and PBMCs to stress-associated miRNA ratios contributing to the presence of MetS was estimated by univariate and multivariate logistic regression models. The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results. MetS was positively correlated with cortisol, IL-6, lymphocyte to miR-18a-5p ratio (LT18R), lymphocyte to miR-22-3p ratio (LT22R), monocyte to miR-18a-5p ratio (MT18R), monocyte to miR-22-3p ratio (MT22R), PBMCs to miR-18a-5p ratio (PT18R), and PBMCs to miR-22-3p ratio (PT22R) and negatively associated with the expression levels of miR-18a-5p and miR-22-3p (P<0.05). In addition, PT18R (odds ratio: 0.894; 95% CI: 0.823-0.966; P<0.001) and PT22R (odds ratio: 0.809; 95% CI: 0.717-0.900; P<0.001) were independent predictors of MetS, respectively. A receiver operating characteristic (ROC) curve analysis was performed to assess the value of the PT18R-PT22R (PMR) panel (odds ratio: 0.905; 95% CI: 0.838-0.971; P<0.001) for predicting MetS. The area under the curve yielded a cut-off value of 0.608, with sensitivity of 74.4% and specificity of 95.2% (P<0.001). Conclusion. In summary, miR-18a-5p and miR-22-3p in PBMCs may be important biomarkers of stress reaction and may play a role in vulnerability to MetS. Besides, the inflammatory cells to the two miRNA ratios demonstrated high accuracy in the diagnosis of MetS.

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