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. 2023 Nov 20;8(2):276–286. doi: 10.1182/bloodadvances.2023011013

Table 4.

Logistic regression model evaluating relation of laboratory parameters with ACS


OR
aOR
ACS OR 95% CI P OR 95% CI P
Pediatric cohort

 PoS (10 mmHg ↑) 1.73 1.24-2.42 .001 1.55 1.08-2.19 .015
 EImin (0.1 EI ↑) 0.51 0.35-0.72 <.0001 0.59 0.41-0.85 .007
 EImax (0.1 EI ↑) 0.61 0.42-0.89 .009 0.70 0.48-1.01 .059
 Blood viscosity (1.0 cP ↑) 0.85 0.59-1.21 .364 0.78 0.53-1.14 .195
 HVR 0.94 0.62-1.41 .750 1.00 0.65-1.53 .984
 Hb (1.0 g/dL↑) 0.99 0.80-1.23 .925 0.98 0.78-1.22 .841
 HbF (10.0% ↑) 0.50 0.29-0.86 .011 0.57 0.31-1.04 .068
 MCV (10 fl ↑) 1.26 0.99-1.59 .061 1.17 0.91-1.51 .200
 MCHC (1.0 g/dL ↑) 1.05 0.83-1.33 .665 1.09 0.85-1.38 .509
 MCH (10.0 pg ↑) 1.13 0.56-2.28 .739 0.81 0.40-1.64 .584
 ARC (100 × 109/L ↑) 1.19 0.97-1.45 .097 1.16 0.94-1.43 .165
 DRBCs (1.0% ↑) 1.19 1.07-1.32 .002 1.14 1.02-1.27 .019
Adult cohort

 PoS (10 mmHg ↑) 1.65 0.90-3.03 .104 1.52 0.81-2.85 .190
 EImin (0.1 EI ↑) 0.53 0.22-1.25 .144 0.62 0.26-1.47 .268
 EImax (0.1 EI ↑) 0.73 0.34-1.53 .388 0.87 0.40-1.90 .723
 Blood viscosity (1.0 cP ↑) n/a n/a n/a n/a n/a n/a
 HVR n/a n/a n/a n/a n/a n/a
 Hb (1.0 g/dL ↑) 1.12 0.67-1.87 .679 1.12 0.67-1.87 .666
 HbF (10.0% ↑) 0.96 0.53-1.73 .902 1.20 0.72-2.74 .597
 MCV (10 fl ↑) 1.06 0.73-1.54 .744 1.21 0.80-1.83 .370
 MCHC (1.0 g/dL ↑) 1.06 0.67-1.67 .811 1.08 0.68-1.72 .748
 MCH (1.0 pg ↑) 1.02 0.93-1.12 .671 1.05 0.94-1.18 .383
 ARC (100 ×109 per L ↑) 1.06 0.56-2.03 .847 0.97 0.48-1.97 .925
 DRBCs (1.0% ↑) n/a n/a n/a n/a n/a n/a

A logistic regression analysis was performed to calculate ORs for oxygen gradient ektacytometry–derived parameters, blood viscosity, DRBCs, HbF, and hemocytometry parameters in relation to occurrence of ACS. aORs were corrected for age and hydroxyurea therapy.

Abbreviations are explained in Table 3.

OR is significant after correcting for multiple testing (false discovery rate analysis).

Data of 110 individuals available.

Data of 90 individuals available.