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Table 1 Difference in clinical characteristics of the population stratified by BNP quartiles

From: Higher BNP levels within physiological range correlate with beneficial nonfasting lipid profiles in the elderly: a cross-sectional study

Variables

BNP Q1

BNP Q2

BNP Q3

BNP Q4

P value

 

n = 170

n = 170

n = 170

n = 170

 

Men, n (%)

101 (59.4)

72 (42.4)

67 (39.4)

94 (55.3)

<0.0001 a

Age, years

68 ± 5

68 ± 5

69 ± 6

70 ± 5

0.015 b

BNP, pg/ml

7.0 (5.5–8.0)

14.9 (11.2–17.3)

30.6 (24.3–37.4)

65.5 (53.9–83.5)

-

BNP range, pg/ml

2.2–9.0

9.1–20.4

20.5–44.4

44.6–99.7

-

BMI, kg/m2

23.4 ± 4.1

24.4 ± 4.0

23.1 ± 4.3

22.5 ± 3.3

0.017 c

ALT, IU/L

28.5 ± 19.7

21.2 ± 13.0

18.9 ± 11.5

19.3 ± 21.0

<0.0001 d

AST, IU/L

27.0 ± 14.8

24.0 ± 12.1

22.5 ± 10.1

25.2 ± 20.8

0.232

GGT, IU/L

45.6 ± 58.0

30.1 ± 62.2

32.9 ± 48.6

34.7 ± 43.3

0.259

UA, mg/dL

5.5 ± 1.3

5.2 ± 1.4

5.1 ± 1.5

5.5 ± 1.6

0.04 e

Cr, mg/dL

0.78 ± 0.19

0.74 ± 0.18

0.76 ± 0.24

0.81 ± 0.25

0.0334 f

eGFR (ml/min/1.73 m2)

74.3 ± 25.9

73.6 ± 15.4

73.1 ± 19.9

70.2 ± 20.8

0.1860

TC, mg/dL

191.3 ± 37.3

200.1 ± 38.7

188.1 ± 34.2

179.6 ± 38.6

<0.0001 g

LDL-C, mg/dL

115.7 ± 35.0

119.0 ± 37.0

108.5 ± 33.2

107.4 ± 33.7

0.022 h

HDL-C, mg/dL

49.1 ± 11.5

55.7 ± 15.2

53.6 ± 13.8

53.0 ± 16.4

0.003 i

TAG, mg/dL※

147.0 (107.3–223.0)

131.0 (91.75–184.0)

116.0 (91.0–170.0)

121.0 (83.0–158.3)

<0.0001 j

non-HDL, mg/dL

142.2 ± 34.6

143.5 ± 37.1

133.8 ± 33.2

125.9 ± 33.3

0.081

TSH, mIU/L※

1.6 (1.1–3.2)

1.5 (0.9–2.4)

1.5 (1.1–2.3)

1.5 (0.9–2.9)

0.714

HbA1c,%

6.0 ± 0.8

6.1 ± 1.3

6.1 ± 1.3

6.0 ± 1.1

0.3629

Diabetes, n (%)

49 (28.8)

36 (21.2)

33 (19.4)

38 (22.4)

0.182

Hypertension, n (%)

118 (69.4)

109 (64.1)

113 (66.5)

121 (71.2)

0.516

Current Smoker, n (%)

25 (14.7)

15 (8.8)

16 (9.4)

18 (10.6)

0.296

Current Drinker, n (%)

13 (7.6)

16 (9.4)

9 (5.3)

13 (7.6)

0.552

  1. Data are expressed as mean ± SD for data with normal distribution, or median (25th, 75th percentiles) for data with skewed distribution, or number (percentage) for categorical data. Chi-square test was used to compare categorical variables. The difference of continuous variables was compared using One-Way ANOVA, and then Student-Newman-Keuls pairwise comparisons were performed if P <0.05. P values less than 0.05 are marked in bold. Note: (1) ※ Analysis was performed using log-transformed data. (2) a. Q1 compared with Q2 and Q3 (P = 0.002, <0.0001); Q4 compare with Q2 and Q3 (P = 0.0017, 0.003); b. Q4 compared with Q1, Q2 and Q3 (P = 0.03, 0.008, 0.073); c. Q2 compared with Q3 and Q4 (P = 0.027, 0.002); d. Q1 compared with Q2, Q3 and Q4 (P = 0.006, <0.0001, <0.0001); e. Q3 compared with Q1 and Q4 (P = 0.025, 0.016); f. Q4 VS Q2, P < 0.05; g. Q2 compared with Q3 and Q4 (P = 0.010, <0.0001); Q1 compared with Q4 (P = 0.015); h. Q2 compared with Q3 and Q4 (P = 0.016, 0.009); i. Q1 compared with Q2, Q3 and Q4 (P < 0.0001,0.013,0.036); j. Q1 compared with Q2, Q3 and Q4 (P = 0.006, <0.0001, <0.0001)