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Table 1 Characteristics of study population

From: Chinese ASCVD risk equations rather than pooled cohort equations are better to identify macro- and microcirculation abnormalities

subjects, n

2166

age, years

51.91 ± 11.91

systolic BP, mmHg

126.89 ± 21.90

diastolic BP, mmHg

78.53 ± 11.84

WHR

0.85 ± 0.07

BMI, kg/m2

23.83 ± 3.42

total cholesterol, mmol/L

5.03 ± 1.05

HDL-C, mmol/L

1.23 ± 0.33

LDL-C, mmol/L

2.78 ± 0.88

eGFR, ml/min/1.73m2

103.25 ± 33.62

HbA1c, %

5.72 ± 0.68

UACR, mg/g

10.17(4.13, 22.98)

fractal dimension

1.37 ± 0.05

baPWV, cm/s

1346(1170, 1600)

male, n (%)

810(37.4)

hypertension history, n (%)

512(23.6)

diabetes history, n (%)

185(8.5)

smoking, n (%)

414(19.1)

drinking, n (%)

339(15.7)

  1. Normally distributed continuous data are given as mean ± SD, skewed distributed continuous data are reported as median (25th, 75th percentiles), categorical variables are presented as a percentage of patients. BP Blood pressure, WHR Waist-hip rate, BMI Body mass index, HDL-C High density lipoprotein-cholesterol, LDL-C Low density lipoprotein-cholesterol, eGFR Estimated glomerular filtration rate, HbA1c Glycated haemoglobin A1c, UACR Urine albumin-to-creatinine ratio, baPWV Brachial-ankle pulse wave velocity
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BMC Cardiovascular Disorders

ISSN: 1471-2261

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