Table 3.
Mean | ±SD | All (n = 387)a | Men (n = 157)b | Women (n = 230)b | p for difference | ||||
---|---|---|---|---|---|---|---|---|---|
Diff in PAPP-A2 conc. (pg/mL) | p-value | Diff in PAPP-A2 conc. (pg/mL) | p-value | Diff in PAPP-A2 conc. (pg/mL) | p-value | ||||
Per SD difference | |||||||||
Creatinine | 71.42 | 15.80 µmol/L | 3.0 | 0.66 | 7.1 | 0.41 | −4.6 | 0.69 | 0.35 |
Uric acid | 294.14 | 84.35 µmol/L | 0.5 | 0.95 | −7.0 | 0.52 | 8.8 | 0.42 | 0.52 |
Triglycerides | 1.69 | 1.12 mmol/L | −1.4 | 0.82 | 2.6 | 0.72 | −10.3 | 0.35 | 0.23 |
HDL-C | 1.57 | 0.50 mmol/L | 1.2 | 0.86 | 8.0 | 0.53 | −2.1 | 0.78 | 0.81 |
LDL-C | 3.37 | 1.00 mmol/L | −4.4 | 0.49 | 0.0 | 0.99 | −6.7 | 0.45 | 0.57 |
Cholesterol | 5.37 | 1.15 mmol/L | −4.8 | 0.44 | 2.4 | 0.80 | −9.8 | 0.26 | 0.38 |
HbA1c | 5.62 | 0.45% | 1.9 | 0.76 | −1.4 | 0.87 | 4.8 | 0.59 | 0.89 |
Potassium | 4.17 | 0.28 mmol/L | −1.4 | 0.81 | 5.4 | 0.56 | −5.1 | 0.50 | 0.39 |
Sodium | 139.46 | 1.96 mmol/L | 8.1 | 0.15 | 4.6 | 0.62 | 10.4 | 0.15 | 0.70 |
GGT | 0.46 | 0.45 µkat/L | 13.6 | 0.02 | 16.3 | 0.04 | 10.0 | 0.28 | 0.52 |
ASAT | 0.39 | 0.14 µkat/L | 18.5 | 0.002 | 20.6 | 0.01 | 14.9 | 0.15 | 0.75 |
ALAT | 0.41 | 0.25 µkat/L | 11.4 | 0.07 | 13.6 | 0.08 | 4.1 | 0.74 | 0.46 |
LDH | 2.67 | 0.54 µkat/L | 14.9 | 0.02 | 20.8 | 0.02 | 9.4 | 0.32 | 0.27 |
Haemoglobin | 8.34 | 0.72 mmol/L | −19.2 | 0.01 | −4.7 | 0.70 | −33.6 | 0.002 | 0.05 |
Haematocrit | 0.40 | 0.03 | −17.6 | 0.01 | −5.1 | 0.63 | −30.5 | 0.002 | 0.07 |
Red blood cells | 4.47 | 0.38 Tpt/L | −21.5 | 0.001 | −9.7 | 0.33 | −36.4 | 0.0002 | 0.04 |
White blood cells | 6.49 | 1.78 Gpt/L | −7.5 | 0.18 | −15.2 | 0.09 | −2.0 | 0.78 | 0.33 |
PAPP-A2, pregnancy-associated plasma protein-A2; diff., difference; conc., concentration; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; HbA1c, glycated haemoglobin A1; GGT, γ-glutamyl transferase; ASAT, aspartate transaminase; ALAT, alanine aminotransferase; LDH, lactate dehydrogenase.
aSeparate linear regression models for each biochemical parameter adjusted for age (continuously), sex, weight and pretest. bSeparate linear regression models for each biochemical parameter adjusted for age (continuously), weight and pretest.