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Table 2 Predicted class memberships of the clinically abnormal biomarkers cut-off values for the 4 latent classes model. Estimated class population shares for the four different LCA classes

From: Metabolic profiles to predict long-term cancer and mortality: the use of latent class analysis

LCA-derived Classes

Class 1

Class 2

Class 3

Class 4

% on the population

63%

22%

9%

6%

Biological interpretation

Normal

Lipids

Liver

Iron/ Inflammation

ApoB/ApoA-I ≥ 1.00 b

0.1320

0.6840

0.4519

0.2480

Log (Triglycerides/HDL) ≥ 0.50 b

0.0126

0.5436

0.3852

0.1421

Glucose ≥6.11 mmol/L

0.0342

0.2401

0.2174

0.0919

Fructosamine ≥2.60 mmol/L

0.0039

0.0967

0.0555

0.0280

ALT ≥50 IU/L

0.0051

0.0107

1.0000

0.0291

GGT Elevated36–72 IU/L

0.0848

0.2532

0.3521

0.1732

GGT Highly elevated ≥72 IU/L

0.0240

0.0843

0.4098

0.0619

AST ≥ 45 IU/L

0.0052

0.0045

0.3168

0.0180

CRP > 10 mg/L

0.0282

0.0715

0.0771

0.2740

Albumin < 35 g/L

0.0007

0.0022

0.0024

0.0114

Leukocytes ≥109 cells/L

0.0265

0.0786

0.0438

0.1344

Iron low μmol/L

0.0001

0.0040

0.0281

0.5527

Iron high μmol /L

0.0404

0.0155

0.0712

0.0000

TIBC low mg/dL

0.2201

0.2807

0.2622

1.0000

TIBC high mg/dL

0.2438

0.1707

0.2984

0.0000

Creatinine low μmol /L

0.0022

0.0037

0.0041

0.0051

Creatinine high μmol /L

0.0822

0.1765

0.1166

0.1116

Phosphate low mmol/L

0.0078

0.0041

0.0063

0.0098

Phosphate high mmol/L

0.0425

0.0611

0.0544

0.1110

Calcium low mmol/L

0.0124

0.0092

0.0099

0.0458

Calcium high mmol/L

0.0121

0.0253

0.0299

0.0135

  1. aHigh probabilities of the biomarkers to belong to a class are highlighted.
  2. bRatios are dimensionless.
  3. Higher proportions of the abnormal biomarkers belonging to a class is indicated in the table in boldface