Validity of the Seattle Heart Failure Model for prognosis in a population at low coronary heart disease risk

Laszczyńska, Olga; Severo, Mílton; Friões, Fernando; Lourenço, Patrícia; Silva, Sérgio; Bettencourt, Paulo; Lunet, Nuno; Azevedo, Ana

doi:10.2459/jcm.0000000000000048

Cited by 4 publications

(3 citation statements)

References 36 publications

(31 reference statements)

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“…The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to assess the fit of the SVM-based prediction model. 24 A t -test and Fisher’s exact test were used to identify clinical features affecting recurrence. The terms significant at P < 0.05 were retained for further multivariate Cox regression analysis.…”

Section: Methodsmentioning

confidence: 99%

An 8-gene DNA methylation signature predicts the recurrence risk of cervical cancer

Huang

Liu

et al. 2021

J Int Med Res

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Objective This study examined the predictive utility of DNA methylation for cervical cancer recurrence. Methods DNA methylation and RNA expression data for patients with cervical cancer were downloaded from The Cancer Genome Atlas. Differentially methylated genes (DMGs) and differentially expressed genes were screened and extracted via correlation analysis. A support vector machine (SVM)-based recurrence prediction model was established using the selected DMGs. Cox regression analysis and receiver operating characteristic curve analysis were used for self-evaluation. The Gene Expression Omnibus (GEO) database was applied for external validation. Functional enrichment was determined using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. Results An eight-gene DNA methylation signature identified patients with a high risk of recurrence (area under the curve = 0.833). The SVM score was an independent risk factor for recurrence (hazard ratio [HR] = 0.418; 95% confidence interval [CI] = 0.26–0.67). The independent GEO database analysis further supported the result. Conclusion An eight-gene DNA methylation signature predictive of cervical cancer recurrence was identified in this study, and this signature may help identify patients at high risk of recurrence and improve clinical treatment.

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Section: Methodsmentioning

confidence: 99%

An 8-gene DNA methylation signature predicts the recurrence risk of cervical cancer

Huang

Liu

et al. 2021

J Int Med Res

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“…The confusion matrix was constructed to further confirm the prediction of the SVM classifier model. The ROC curve and the area under the curve (AUC) were used to assess the fit of the SVM-based prediction model [28]. A T-test and Fisher's exact test were used to identify clinical features affecting recurrence.…”

Section: Recurrent Signature Validationmentioning

confidence: 99%

An 8-DNA methylation signature predicts recurrence risk of cervical cancer

Huang

Liu

et al. 2021

Preprint

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PurposeCervical cancer is the leading cause of cancer-associated mortalities in female worldwide. DNA methylation have been demonstrated to have a regulatory role in the progression and could be novel biomarkers to predict the recurrence of the disease.MethodsDNA methylation and RNA expression data of cervical cancer were downloaded from TCGA. DMGs and DEGs were screened and extracted by correlation analysis. The SVM-based recurrence prediction model was established using the selected DMGs. Cox regression analysis and ROC analysis were used as self-evaluations. The GEO database was applied for external validation. Functional enrichment was determined by GO and KEGG analysis.ResultsThe eight-DNA methylation signature could identify patients with a high risk of recurrence (AUC=0.833). The SVM score was an independent risk factor for recurrence (HR = 0.418; 95% CI: 0.26-0.67, p-value <0.05). The independent GEO database further supported the result.ConclusionThe predictive function of the 8-DNA methylation signature for recurrence of cervical cancer was revealed in this study, which may help identify high-risk patients of recurrence and benefit the clinical treatment.

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“…The costs related to treating HF comorbidities and HF exacerbations in youths are significant, totaling nearly $1 billion in inpatient costs, and may be rising. 6,7 Even today's progress in medical technology and the development of medicine, the prognosis of patients with HF variability is more serious. Therefore, it is extremely important to classify the risk stratification accurately and to distinguish the high-risk population and start effective evidence-based medical treatment according to the patient's condition.…”

Section: Introductionmentioning

confidence: 99%

Study of the correlation between red blood cell parameters in the patients with coronary heart disease and heart failure

et al. 2017

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Background: An increase of red blood cell distribution width (RDW) may have a certain effect to predict and evaluate the incidence and prognosis of coronary heart disease or chronic heart failure.Methods: Our retrospective study covered a total of 230 patients that were included due to a variety of indications for coronary angiography. Patients were defined into 2 categories; CAG (-) group (n=100), and CAG (+) group (n=130). The 2 groups were compared in order to investigate the differences between their RDW and other factors related and then further were sub-dived into 4 groups according to the NYHA functional class.Results: We observed that the patients in CAG (-) group 12.78±0.90; CAG (+) group 12.90±1.10 and had no significant difference in RDW. However higher RDW in patients with HF on all-cause was detected, 13.50±1.12 of group CAG (-)/NYHA II-IV and 13.39±1.31 of group CAG (+)/NYHA II-IV and there is statistical difference compared to group CAG (-)/NYHAI and group CAG (+)/NYHA I which were 12.80±0.47 and 12.87±0.69 respectively (P<0.001). There has no difference between the HF groups CAG (-)/NYHA II-IV and CAG (+)/NYHA II-IV group with (P=0.920), and no difference between groups without heart failure of (P=0.979).Conclusions: Although RDW had no predictive ability of coronary heart disease, but the elevation of RDW was highly and independently associated with chronic HF. Therefore, RDW can be clinically used as a parameter in risk stratification of patients with HF.

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Validity of the Seattle Heart Failure Model for prognosis in a population at low coronary heart disease risk

Cited by 4 publications

References 36 publications

An 8-gene DNA methylation signature predicts the recurrence risk of cervical cancer

An 8-gene DNA methylation signature predicts the recurrence risk of cervical cancer

An 8-DNA methylation signature predicts recurrence risk of cervical cancer

Study of the correlation between red blood cell parameters in the patients with coronary heart disease and heart failure

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