Français
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Cardiology 2015-Jun

Associations between glycated albumin or hemoglobin A1c and the presence of coronary artery disease.

Seuls les utilisateurs enregistrés peuvent traduire des articles
Se connecter S'inscrire
Le lien est enregistré dans le presse-papiers
Kenji Norimatsu
Shin-Ichiro Miura
Yasunori Suematsu
Yuhei Shiga
Yuiko Miyase
Ayumi Nakamura
Mayumi Yamada
Akira Matsunaga
Keijiro Saku

Mots clés

Abstrait

OBJECTIVE

We investigated the associations between serum levels of glycated albumin (GA) or hemoglobin A1c (HbA1c) and the presence of coronary artery disease (CAD) in patients who underwent coronary computed tomography angiography (CTA).

RESULTS

The study consisted of 244 consecutive patients who underwent CTA and in whom we could measure the levels of both GA and HbA1c. Any narrowing of the normal contrast-enhanced lumen to >50% that could be identified in multiplanar reconstructions or cross-sectional images by CTA was defined as significant stenosis in CAD. We divided the patients into two groups: CAD group (n=72) and non-CAD group (n=172), as assessed by CTA. The CAD group showed significantly higher GA and HbA1c than the non-CAD group. GA and HbA1c showed a positive correlation (r=0.551, p<0.0001). A multivariate logistic regression analysis was performed to examine the associations between the presence of CAD and age, gender, body mass index, and coronary risk factors (hypertension, dyslipidemia, and smoking), in addition to GA and HbA1c. Age [odds ratio (OR): 1.04, p=0.02], gender (OR: 2.84 p=0.01), hypertension (OR: 3.20, p=0.01), and GA (OR: 1.16, p=0.03) were identified as significant independent variables that predicted the presence of CAD. In particular, GA (OR: 1.30, p=0.02) was the only predictor of the presence of CAD in the diabetes mellitus group by a multivariate logistic regression analysis. We defined the cut-off value of GA for the prediction of CAD in patients with diabetes as 17.9% (sensitivity 0.639, specificity 0.639) by a receiver-operating characteristic curve analysis.

CONCLUSIONS

GA may be superior to HbA1c as a marker for evaluating the presence of CAD.

Rejoignez notre
page facebook

La base de données d'herbes médicinales la plus complète soutenue par la science

  • Fonctionne en 55 langues
  • Cures à base de plantes soutenues par la science
  • Reconnaissance des herbes par image
  • Carte GPS interactive - étiquetez les herbes sur place (à venir)
  • Lisez les publications scientifiques liées à votre recherche
  • Rechercher les herbes médicinales par leurs effets
  • Organisez vos intérêts et restez à jour avec les nouvelles recherches, essais cliniques et brevets

Tapez un symptôme ou une maladie et lisez des informations sur les herbes qui pourraient aider, tapez une herbe et voyez les maladies et symptômes contre lesquels elle est utilisée.
* Toutes les informations sont basées sur des recherches scientifiques publiées

Google Play badgeApp Store badge