کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8344965 | 1541605 | 2016 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Added value of total serum nitrate/nitrite for prediction of cardiovascular disease in middle east caucasian residents in Tehran
ترجمه فارسی عنوان
ارزش افزوده کل نیترات / نیتریت سرم برای پیش بینی بیماری قلبی عروقی در ساکنان قفقاز خاورمیانه در تهران
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کلمات کلیدی
نیترات / نیتریت، بیماری قلب و عروقی، بیومارکر،
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
زیست شیمی
چکیده انگلیسی
Data on the association between serum nitrate/nitrite and cardiovascular disease (CVD) is controversial; the aim of this study was to examine the potential utility of serum nitrate/nitrite in prediction of CVD. A total of 2443 adult participants, free from CVD at baseline were included. The probability of developing CVD was estimated by incorporating traditional CVD risk factors into a logistic regression model in the presence of serum nitrate/nitrite. The probability of CVD was calculated using Ln-transformed CVD risk factors as a covariate in the presence of Ln-transformed nitrate/nitrite in the final model. The added value of nitrate/nitrite was estimated using receiver operating characteristic curves and the net reclassification index (NRI). During follow-up, 169 events occurred. The multivariate odds ratio (95% confidence interval) for each 1 unit of increase in the Ln-transformed traditional risk factors and Ln-transformed nitrate/nitrite, were 3.20 (2.67-3.84) and 1.35 (1.01-1.80) for incident CVD, respectively. The areas under the curves of discrimination for models with and without nitrate/nitrite were not significantly different; however, incorporating nitrate/nitrite to the traditional CVD risk model can help appropriately reclassify over 6% of individuals at risk. In conclusion, serum nitrate/nitrite levels were independently associated with incident CVD. Measurement of serum nitrate/nitrite provided information beyond individual data on risk factors and improved prediction of CVD.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nitric Oxide - Volume 54, 1 April 2016, Pages 60-66
Journal: Nitric Oxide - Volume 54, 1 April 2016, Pages 60-66
نویسندگان
Farzad Hadaegh, Samaneh Asgari, Mohammadreza Bozorgmanesh, Sajad Jeddi, Fereidoun Azizi, Asghar Ghasemi,