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Table 3 Correlations between clinical and dual-energy computed tomography parameters

From: Lung distribution of gas and blood volume in critically ill COVID-19 patients: a quantitative dual-energy computed tomography study

Dual-energy computed tomography parameters

D-dimer

C-reactive protein

Respiratory system compliance§

PaO2/FiO2

PaCO2

Ventilatory Ratio§

ρ

p

ρ

p

ρ

p

ρ

p

ρ

p

ρ

p

Normally aerated lung tissue (%)

− 0.403

0.016*

− 0.488

0.003*

0.284

0.189

0.730

< 0.001*

0.483

0.003*

− 0.351

0.101

Poorly aerated lung tissue (%)

0.343

0.044*

0.236

0.172

− 0.144

0.511

− 0.342

0.044*

− 0.221

0.201

0.407

0.054

Non-aerated lung tissue (%)

0.379

0.025*

0.575

< 0.001*

− 0.280

0.196

− 0.637

< 0.001*

− 0.383

0.023*

0.108

0.625

Non-perfused lung tissue (%)

0.418

0.012*

0.061

0.730

− 0.071

0.747

− 0.12

0.491

0.385

0.023*

0.432

0.040*

Shunt lung tissue (%)

0.186

0.285

0.486

0.003*

− 0.105

0.634

− 0.579

< 0.001*

0.261

0.130

− 0.149

0.497

Lung tissue with gas:blood volume ratio < 1 (%)

− 0.418

0.012*

− 0.557

0.001*

0.422

0.045*

0.481

0.003*

− 0.441

0.008*

0.067

0.761

Lung tissue with gas:blood volume ratio > 1 (%)

− 0.285

0.097

− 0.169

0.333

− 0.166

0.449

0.471

0.004*

− 0.227

0.190

− 0.116

0.599

Dead-space lung tissue (%)

0.101

0.565

− 0.351

0.039*

0.165

0.451

0.289

0.092

0.070

0.690

0.205

0.349

Non-aerated, non-perfused lung tissue (%)

0.513

0.002*

0.531

0.001*

− 0.212

0.332

− 0.439

0.008*

0.497

0.002*

0.368

0.084

Lung tissue with gas:blood volume mismatch (%)

0.440

0.008*

0.481

0.003*

− 0.138

0.529

− 0.633

< 0.001*

0.440

0.008*

0.163

0.457

  1. Gas:blood volume mismatch is the percent of lung mass accounted for by shunt, dead-space, and non-aerated, non-perfused regions. FiO2: fraction of inspired oxygen; PaO2: arterial oxygen partial pressure; PaCO2: arterial carbon dioxide partial pressure
  2. *Significant correlation, p < 0.05
  3. §Correlations computed only in intubated patients (N = 23)