The predictive role of laboratory parameters in cardiovascular risk assessment in obese

被引:3
|
作者
Kaya, Abdulkadir [1 ]
Gamsizkan, Zerrin [1 ]
Kaya, Nursel [1 ]
Davran, Fatih [2 ]
机构
[1] Duzce Univ, Dept Family Med, Fac Med, Duzce, Turkiye
[2] Duzce Univ, Dept Biochem, Fac Med, Duzce, Turkiye
关键词
cardiovascular risk; laboratory parameters; obesity; HBA(1C);
D O I
10.1097/MD.0000000000034634
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The significance of cardiovascular diseases in mortality is indisputable. It is well-established that cardiovascular diseases are more prevalent among individuals with obesity. This study aimed to determine the predictive value of easily accessible hematological and biochemical parameters in assessing cardiovascular risk among obese patients. The study was designed as an observational retrospective. Department of Family Medicine, study was carried out between 25/06/2022 to 30/10/2022. The data of 439 obese patients were analyzed retrospectively. Using the online Heart Score system, the patients were classified into low, medium, high, and very high cardiovascular risk categories. The hemogram and certain biochemistry values of the patients at the time of admission were examined. Receiver operating characteristic (ROC) analyses were conducted to discriminate cardiovascular risk classes based on laboratory values. Markers with high diagnostic value, including a high area under the curve (AUC) value, sensitivity, and specificity, were presented. Significant differences were observed between the groups in terms of age, systolic blood pressure, diastolic blood pressure, total cholesterol, low-density lipoprotein, glucose, HbA1c, hemoglobin, platelet count, neutrophil (NEU) count, and platelet-lymphocyte ratio parameters (P < .05). The white blood cell count and NEU count of patients in the high-risk groups were found to have significantly higher AUC values compared to the moderate-risk group (AUC values of .737 and .779, respectively). The white blood cell and NEU parameters were found to have a positive predictive value in estimating the degree of cardiovascular risk. These parameters can potentially serve as biomarkers in identifying individuals at high risks for cardiovascular diseases.
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页数:5
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