Nomogram Based on Cytokines for Cardiovascular Diseases in Xinjiang Kazakhs.
Mediators Inflamm
; 2019: 4756295, 2019.
Article
in En
| MEDLINE
| ID: mdl-31191115
ABSTRACT
BACKGROUND:
This study involved the development of a predictive 5-year morbidity nomogram for cardiovascular diseases (CVD) in Xinjiang Kazakhs based on cytokine levels.METHODS:
The nomogram was based on a baseline survey of the town of Nalati in the Kazakh Autonomous Prefecture of Xinjiang from 2009 to 2013. By 2016, we had monitored 1508 people for a median time of 5.17 years and identified CVD events in the study population by collecting case information from local hospitals. The study population was divided into the training (n = 1005) and validation cohorts (n = 503) in a 2 1 ratio. The area under the receiver operating characteristic curve (AUC) was used to verify the predictive accuracy of the nomogram. The result was assessed in a validation cohort.RESULTS:
At the end of the study, the incidence of CVD in Xinjiang Kazakhs was found to be 11.28%. We developed a new nomogram to predict the 5-year incidence of CVD based on age, interleukin-6 (IL-6), and adiponectin (APN) levels, diastolic blood pressure, and dyslipidemia. The AUC for the predictive accuracy of the nomogram was 0.836 (95% confidence interval 0.802-0.869), which was higher than that for IL-6 and APN. These results were supported by validation studies.CONCLUSIONS:
The nomogram model can more directly assess the risk of CVD in Kazakhs and can be used for CVD risk assessment.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Cardiovascular Diseases
/
Cytokines
/
Nomograms
Type of study:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Mediators Inflamm
Journal subject:
BIOQUIMICA
/
PATOLOGIA
Year:
2019
Document type:
Article
Affiliation country: