Updated reference ranges for aminotransferase levels of Korean children and young adolescents based on the risk factors for metabolic syndrome

DOI: https://doi.org/10.21203/rs.3.rs-1398292/v1

Abstract

We investigated the reference values of liver enzymes based on cardiometabolic risks among children and adolescents using the Korea National Health and Nutrition Examination Survey (KNHANES). A total of 8,091 subjects aged 10–18 years were included from data from 2007–2017. Overall, Aspartate aminotransferase (AST), alanine aminotransferase (ALT), and the AST/ALT ratio varied with sex and age. AST levels tended to decrease with age, but ALT levels had a U-shaped curve, which resulted in a gradual increase in the AST/ALT ratio after age 13. The prevalence of MetS was strongly associated with elevated AST or ALT and a decreased AST/ALT ratio. The odds ratios of the development of MetS were elevated in groups with high levels of AST and ALT and a low AST/ALT ratio. Particularly in the combined ALT and AST/ALT analyses, borderline-high levels also showed a high odds ratio of MetS. Liver enzymes were also involved in the increase in the adjusted mean values for each risk factor for MetS. Here, we provided updated reference values for liver enzymes based on the analysis between population-based data and cardiometabolic risk factors; AST, ALT and the AST/ALT ratio might be useful in the early diagnosis and treatment of the MetS.

Introduction

Rates of childhood obesity and metabolic syndrome are increasing worldwide 1. Metabolic syndrome (MetS) is a pathophysiological state that has been used to associate overweight and obesity and their consequences such as cardiovascular diseases and diabetes mellitus. Since National Cholesterol Education Program (NCEP) defined metabolic syndrome in the adult population in 2001, subsequent studies have been conducted using modified criteria for MetS for children and adolescents and reported an increasing prevalence of MetS. Although many different criteria resulted in difficulty estimating the exact prevalence in pediatric populations, a recent systematic review reported that the estimated prevalence of pediatric MetS ranged from 0.3–26.4% according to different geographic locations and populations 2. In addition, the prevalence rates of MetS according to the modified NCEP-ATP III criteria have been reported to range from 5.7–10.9% in Korean studies 3,4.

Hepatic involvement of MetS is commonly observed as hepatic steatosis in nonalcoholic fatty liver disease (NAFLD); pathological fat accumulation associated with chronic inflammation in the liver results in detrimental consequences, including impairment of glucose and lipid metabolism and an increase in cardiovascular events combined with oxidative stress, endothelial dysfunction and hypercoagulability 5. Therefore, the recent current consensus recommends screening for NAFLD in children with accompanying MetS 6. However, there is wide variability in the upper limit of normal for AST or ALT across different ages and between the sexes. The distinction of liver disease usually depends on the cutoff values that define an abnormal test, which is also critical for sensitivity and specificity 7; this is the reason it is necessary to analyze population based data to establish reference intervals.

Several lines of studies have reported the upper limits of normal for liver enzymes in children and adolescents. In the United States, a population-based study suggested that the upper limits of normal foe ALT in metabolically normal individuals without liver disease were 26 mg/dl for boys and 22 mg/dl for girls 8. Furthermore, in a Canadian study, the cutoff value for ALT was suggested to be 30 mg/dl in children between 1 and 12 years of age and 24 mg/dl in those between 13 and 19 years 9. In other regions, including Europe 10,11, the United Kingdom 12, Mexico 13, Sweden 14, Iran 15, Taiwan 16 and China 17, the reference ranges of liver enzymes in children were evaluated in a similar manner. However, in Korean children and adolescents, the similar studies were not population-based, and the association with metabolic syndrome was not analyzed 18 or adult data 19.

In this study, we aimed to establish sex- and age-stratified reference intervals based on a healthy non-hospitalized pediatric population using data from KNHANES 2007–2017. We analyzed liver enzyme levels and other biochemical, physical, and social data from KNHAES, to assess the association of AST, ALT and the AST/ALT ratio with MetS. Related components of MetS were also analyzed based on the normal, borderline-high and high levels of liver enzymes. Through the results of our population-based group study, we expect to add to our understanding of the roles of liver enzymes and a related ratio in MetS and provide a basis for novel liver enzyme reference ranges for children and adolescents in assessing the risk for MetS.

Materials And Methods

1. Subjects

The subjects in this study were from KNHANES 2007–2017. The database is available to the public at the KNHANES website (http://knhanes.cdc.go.kr) and details of the KNHANES have been described previously 26. The initial subjects comprised 10,033 children and adolescents among a total of 89,630 subjects. Subjects who had missing anthropometric data (n = 733) and those missing blood laboratory results or had any type of hepatitis were excluded (n = 733). Subjects with abnormal triglyceride (TG) levels (≥ 400mg/dL) (n = 16) were excluded because low-density lipoprotein cholesterol (LDL-C) levels were calculated with Friedewald’s Eq. 27.

Every participant of KNHANES gave informed consent at the time of data collection. KNHANES were performed in accordance with relevant guidelines and regulations of the National Health Promotion Act in Korea. All methods used in this study were performed in accordance with the relevant guidelines and regulations. This study was approved by the IRB of Hallym University Chuncheon Sacred Heart Hospital (IRB No. CHUNCHEON 2021-10-004), and the IRB waived the requirement for written informed consent due to the retrospective study design.

2. Measurements.

Anthropometric data and blood pressure (BP) were measured by trained experts according to standardized protocols. Details of the anthropometric measurements have been described previously 26. Standard deviation scores (SDSs) were used for height, weight, BMI, and WC which were calculated with the LMS methods using the 2017 Korean reference 28. Blood samples were collected after the participants fasted for at least 8 h. Samples were immediately centrifuged, transported to a central laboratory (NeoDin Medical Institute, Seoul, Korea) and analyzed within 24 hours. Serum levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), TG, and glucose levels were measured enzymatically using a Hitachi 7600 automatic analyzer (Hitachi, Tokyo, Japan). LDL-C was calculated with Friedewald’s Eq. 27.

3. Collection of lifestyle parameters and socioeconomic status.

Lifestyle-related parameters and socioeconomic information were collected by questionnaires. Smoking was defined as having smoked more than five packs of cigarettes throughout one’s lifetime. Alcohol consumption was defined as at least two alcoholic beverages/month during the previous year. Physical activity was defined as: (1) intense physical activity for 30 min at least three days/week, (2) moderate physical activity for 30 min at least five days/week, or (3) walking for 30 min at least five days/week. Based on physical activity, subjects were classified as exercising or non-exercising. For socioeconomic information, household income was categorized as being within the lowest quartile or not. The residence area was divided into urban and rural areas.

4. Definitions of MetS and its components.

Obesity and overweight were defined as ≥ 95th and ≥ 85th but <95th percentile, respectively, as shown in a previous study 28. The definition of MetS followed the modified criteria of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III), as previously described in our published paper 26; subjects who met 3 of the following 5 criteria were defined as having MetS: (1) increased WC based on the Korean pediatric population; ≥90th percentile for age and sex according to the 2017 Korean growth chart 28; (2) elevated BP, namely, SBP or DBP ≥ 90th percentile for age- and sex-matched reference data from the Korean pediatric population 28 or treatment with antihypertensive medication; (3) fasting blood glucose ≥ 100 mg/dL or treatment for type 2 diabetes mellitus (T2DM); (4) elevated TG (≥ 110 mg/dL); and (5) low HDL-C (<40 mg/dL). T2DM was diagnosed satisfying one or more of the criteria: (1) subjects who self-reported their disease using a questionnaire, (2) current medication or insulin use to manage T2DM, or (3) subjects with a fasting glucose level ≥ 126 mg/dL during the survey period.

5. Statistical analysis

The basic characteristics consisted of continuous variables and categorical variables; each variable is presented as the mean ± standard deviation (SD) and frequencies or percentages (%), respectively. Student’s t-test was used to compare the means of the demographic and biochemical characteristics. The chi-square (χ2) test was used to compare clinical categorical variables between boys and girls.

We obtained percentile curves of AST, ALT and the AST/ALT ratio as a function of age as a continuous variable, stratified by sex using the LMS model to fit smoothed L (skew), M (median), and S (coefficient of variation) curves using the General Additive Model for Location Scale and Shape (GAMLSS) package version 4.2.6. of the R statistical package. The Box–Cox Cole and Green, gamma or inverse Gaussian distributions were fitted to the observed distribution of AST, ALT and the AST/ALT ratio. Percentile curves were generated for the 3rd, 5th, 10th, 15th, 25th, 50th, 75th, 85th, 90th, 95th and 97th percentiles. The adjusted mean values of cardiometabolic risk factors were compared between three groups (normal < 75th; borderline high, ≥ 75th and < 95th; and high, ≥ 95th percentile) using analysis of covariance (ANCOVA) followed by Bonferroni’s post hoc test after adjusting for sex, age, BMI SDS, alcohol consumption, smoking, physical activity, residence, household income, and diagnosis of hypertension, T2DM, and dyslipidemia. We estimated the adjusted ORs and 95% confidence intervals (CIs) for MetS among the normal, borderline high and high groups by multiple logistic regression analysis. The estimates were adjusted for sex, age, BMI SDS, alcohol consumption, smoking, physical activity, residence, household income, diagnosis of hypertension, T2DM, and dyslipidemia. P < 0.05 was considered indicative of statistical significance. All statistical analyses in this study were performed using R statistical package version 3.5.1 (The R Foundation for Statistical Computing, Vienna, Austria).

Results

1. Clinical characteristics of the study participants

Among KNHANES from 2007 to 2017, a total of 8,091 children and adolescents were selected for this study (4,307 male and 3,784 female) (Fig. 1). The clinical characteristics of the participants are summarized in Table 1. The mean ages of the subjects were 14.30 ± 2.51 and 14.36 ± 2.51 for males and females, respectively. There were significant sex differences in the height SDS, the WC SDS, BP, AST, ALT and the AST/ALT ratio, glucose, T-C, TG, HDL-C, LDL-C, alcohol consumption, smoking, physical activity and rural residence.

Table 1

Clinical characteristics of boys and girls aged 10–18 years (n = 8,091).

 

Boys

Girls

P

 

n = 4,307

n = 3,784

 

Age (years)

14.30 ± 2.51

14.36 ± 2.51

0.249

Height SDS

0.25 ± 1.05

0.19 ± 1.05

0.004

Weight SDS

0.10 ± 1.22

0.05 ± 1.14

0.081

Waist circumference SDS

-0.24 ± 1.13

-0.19 ± 1.09

0.028

BMI SDS

-0.04 ± 1.29

-0.05 ± 1.19

0.646

Systolic blood pressure (mmHg)

108.80 ± 10.59

104.21 ± 9.30

< 0.001

Diastolic blood pressure (mmHg)

66.38 ± 9.64

65.56 ± 8.28

< 0.001

AST (IU/L)

18.03 ± 19.96

12.16 ± 7.48

< 0.001

ALT (IU/L)

21.04 ± 10.93

17.52 ± 5.02

< 0.001

AST/ALT ratio

1.44 ± 0.61

1.61 ± 0.49

< 0.001

Glucose (mg/dL)

90.83 ± 7.98

89.43 ± 9.04

< 0.001

T-C (mg/dL)

155.80 ± 27.07

163.82 ± 26.30

< 0.001

TG (mg/dL)

49.86 ± 9.91

52.22 ± 9.86

< 0.001

HDL-C (mg/dL)

83.03 ± 47.31

86.57 ± 44.22

0.001

LDL-C (mg/dL)

89.39 ± 23.25

94.27 ± 22.89

< 0.001

Alcohol consumption (%)

1172 (27.21%)

865 (22.86%)

< 0.001

Smoking

681 (15.81%)

249 (6.58%)

< 0.001

Physical activity

2515 (58.39%)

2088 (55.18%)

< 0.001

Rural residence

700 (16.25%)

612 (16.17%)

0.004

Household income ≤ 1st quartile

467 (10.84%)

418 (11.05%)

0.947

Diagnosis of hypertension

0 (0%)

0 (0%)

> 0.999

Diagnosis of T2DM

2 (0.1%)

2 (0.1%)

> 0.999

Diagnosis of dyslipidemia

0 (0%)

0 (0%)

> 0.999

Data are presented as the mean ± standard deviation (SD)
SDS, standard deviation score; BMI, body mass index; AST, aspartate aminotransferase; ALT, alanine aminotransferase; T-C, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

2. Distribution of liver function according to age and sex

The age- and sex-specific distributions AST, ALT and the AST/ALT ratio are shown in Fig. 2. The percentile values for each age and sex, corresponding to LMS variables, are summarized in Table 2. Values of AST and ALT varied considerably according to sex and age; the percentile curve of AST tended to decrease as both boys and girls aged, but the ALT curves were slightly U-shaped in both sexes. Overall variations in AST and ALT according to age were higher in the upper percentile groups (≥ 75th percentile) than in the lower percentile groups (3rd − 50th percentiles). Trends of the AST/ALT ratio decreased according to age and skewed to the left in both boys and girls; however, the levels were significantly higher in girls than in boys. Moreover, the overall AST/ALT ratio was relatively constant and decreased slightly over time.

Table 2

Distribution of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and the AST/ALT ratio in children aged 10–18 years (n = 8,091).

AST in boys

Age

n

L

M

S

3rd

5th

10th

15th

25th

50th

75th

85th

90th

95th

97th

10

477

-1.181

23.386

0.157

16.859

17.710

18.959

19.777

20.978

23.375

26.450

28.753

30.802

35.119

39.351

11

516

-1.181

22.258

0.162

15.897

16.719

17.929

18.724

19.896

22.245

25.285

27.580

29.632

33.992

38.302

12

524

-1.181

21.102

0.168

14.928

15.718

16.887

17.656

18.793

21.088

24.082

26.359

28.409

32.797

37.173

13

543

-1.181

19.871

0.174

13.921

14.675

15.795

16.534

17.631

19.855

22.784

25.030

27.064

31.454

35.871

14

524

-1.181

18.734

0.180

12.993

13.715

14.787

15.498

16.557

18.716

21.585

23.803

25.825

30.224

34.691

15

480

-1.181

17.939

0.186

12.315

13.015

14.059

14.754

15.791

17.919

20.773

22.999

25.041

29.52

34.112

16

421

-1.181

17.562

0.192

11.931

12.625

13.663

14.356

15.394

17.539

20.441

22.726

24.835

29.501

34.329

17

427

-1.181

17.527

0.199

11.781

12.481

13.534

14.239

15.298

17.501

20.510

22.900

25.122

30.081

35.258

18

395

-1.181

17.660

0.206

11.741

12.455

13.531

14.255

15.346

17.629

20.779

23.304

25.668

30.989

36.597

All boys

4,307

     

12.953

13.446

14.922

15.094

16.974

19.103

22.989

25.002

26.992

31.46

36.793

AST in girls

10

415

-0.719

22.041

0.157

15.924

16.698

17.856

18.626

19.769

22.040

24.799

26.691

28.246

31.182

33.699

11

444

-0.719

19.836

0.160

14.268

14.970

16.022

16.723

17.763

19.836

22.361

24.097

25.526

28.232

30.559

12

431

-0.719

17.925

0.162

12.836

13.476

14.435

15.075

16.026

17.925

20.245

21.845

23.165

25.669

27.829

13

463

-0.719

16.660

0.165

11.876

12.475

13.375

13.976

14.871

16.659

18.853

20.369

21.623

24.007

26.070

14

469

-0.719

16.045

0.167

11.385

11.967

12.842

13.426

14.298

16.044

18.193

19.682

20.916

23.269

25.310

15

399

-0.719

15.747

0.170

11.122

11.698

12.564

13.143

14.009

15.747

17.891

19.382

20.620

22.986

25.046

16

414

-0.719

15.440

0.172

10.854

11.422

12.279

12.853

13.712

15.439

17.578

19.069

20.309

22.687

24.764

17

421

-0.719

15.295

0.175

10.701

11.268

12.125

12.699

13.559

15.294

17.449

18.955

20.212

22.627

24.743

18

328

-0.719

15.432

0.178

10.745

11.322

12.194

12.779

13.657

15.432

17.643

19.194

20.490

22.988

25.184

All girls

3784

     

11.233

12.000

13.000

13.954

14.737

16.980

19.547

21.024

22.771

25.297

27.226

ALT in boys

10

477

-1.593

14.971

0.380

8.095

8.724

9.727

10.442

11.593

14.329

18.960

23.371

27.939

39.113

51.319

11

516

-1.593

14.526

0.366

7.980

8.591

9.561

10.251

11.356

13.966

18.346

22.494

26.781

37.260

48.714

12

524

-1.593

13.948

0.355

7.761

8.348

9.276

9.934

10.986

13.457

17.571

21.450

25.451

35.223

45.908

13

543

-1.593

13.349

0.353

7.442

8.003

8.892

9.521

10.526

12.886

16.810

20.507

24.319

33.629

43.809

14

524

-1.593

13.062

0.369

7.153

7.702

8.575

9.195

10.191

12.547

16.507

20.262

24.145

33.637

44.010

15

480

-1.593

13.265

0.404

6.993

7.549

8.440

9.079

10.113

12.597

16.857

20.946

25.194

35.591

46.939

16

421

-1.593

14.057

0.455

7.032

7.616

8.561

9.246

10.365

13.104

17.915

22.595

27.478

39.435

52.457

17

427

-1.593

15.290

0.525

7.149

7.771

8.790

9.535

10.769

13.854

19.405

24.875

30.599

44.608

59.821

18

395

-1.593

16.709

0.625

7.168

7.823

8.908

9.713

11.060

14.501

20.845

27.162

33.785

49.966

67.486

All boys

4,307

     

7.818

8.000

9.000

9.848

10.994

13.045

18.192

23.317

28.001

39.472

54.059

ALT in girls

10

415

-0.749

12.447

0.288

7.194

7.755

8.644

9.271

10.256

12.437

15.572

18.099

20.449

25.673

31.120

11

444

-0.749

11.638

0.274

6.886

7.403

8.218

8.789

9.680

11.631

14.385

16.566

18.566

22.931

27.384

12

431

-0.749

10.916

0.264

6.558

7.038

7.791

8.316

9.134

10.910

13.387

15.327

17.090

20.893

24.719

13

463

-0.749

10.399

0.263

6.256

6.713

7.430

7.929

8.707

10.394

12.744

14.583

16.253

19.851

23.466

14

469

-0.749

10.101

0.270

6.013

6.460

7.164

7.655

8.422

10.096

12.446

14.299

15.993

19.672

23.404

15

399

-0.749

9.997

0.282

5.833

6.282

6.990

7.488

8.269

9.990

12.446

14.410

16.227

20.235

24.377

16

414

-0.749

10.062

0.298

5.728

6.186

6.914

7.428

8.240

10.053

12.689

14.838

16.854

21.392

26.190

17

421

-0.749

10.226

0.311

5.706

6.176

6.926

7.459

8.306

10.213

13.032

15.366

17.582

22.651

28.113

18

328

-0.749

10.436

0.318

5.761

6.242

7.014

7.563

8.439

10.422

13.378

15.846

18.204

23.648

29.573

All girls

3784

     

6.000

6.903

7.018

8.000

8.999

10.843

13.011

15.199

17.497

22.375

26.793

AST/ALT ratio in boys

10

477

0.572

1.589

0.313

0.674

0.789

0.964

1.082

1.256

1.590

1.956

2.178

2.344

2.618

2.821

11

516

0.572

1.556

0.307

0.674

0.785

0.954

1.068

1.235

1.556

1.908

2.121

2.279

2.542

2.735

12

524

0.572

1.524

0.302

0.671

0.779

0.943

1.053

1.214

1.524

1.862

2.067

2.219

2.472

2.658

13

543

0.572

1.489

0.300

0.661

0.766

0.925

1.032

1.189

1.489

1.817

2.015

2.163

2.407

2.587

14

524

0.572

1.443

0.301

0.637

0.739

0.894

0.998

1.150

1.443

1.763

1.956

2.100

2.339

2.514

15

480

0.572

1.383

0.308

0.598

0.697

0.848

0.949

1.098

1.383

1.697

1.887

2.028

2.262

2.434

16

421

0.572

1.315

0.317

0.550

0.645

0.792

0.890

1.035

1.315

1.622

1.809

1.947

2.178

2.348

17

427

0.572

1.245

0.329

0.499

0.591

0.733

0.829

0.971

1.246

1.549

1.733

1.870

2.098

2.267

18

395

0.572

1.180

0.344

0.448

0.537

0.676

0.769

0.909

1.180

1.481

1.664

1.801

2.029

2.197

All boys

4,307

     

0.553

0.627

0.781

0.909

1.080

1.415

1.745

1.913

2.069

2.268

2.447

AST/ALT ratio in girls

10

415

0.513

1.717

0.277

0.800

0.922

1.103

1.222

1.394

1.717

2.073

2.294

2.462

2.750

2.970

11

444

0.513

1.684

0.253

0.848

0.962

1.128

1.237

1.393

1.684

2.002

2.199

2.348

2.602

2.795

12

431

0.513

1.651

0.239

0.870

0.977

1.134

1.235

1.381

1.651

1.945

2.126

2.262

2.496

2.673

13

463

0.513

1.618

0.237

0.858

0.962

1.115

1.213

1.355

1.618

1.904

2.079

2.212

2.439

2.611

14

469

0.513

1.585

0.241

0.831

0.934

1.085

1.183

1.324

1.585

1.870

2.044

2.177

2.402

2.574

15

399

0.513

1.552

0.246

0.800

0.902

1.053

1.150

1.291

1.552

1.837

2.013

2.145

2.372

2.545

16

414

0.513

1.519

0.253

0.765

0.867

1.018

1.115

1.256

1.519

1.806

1.983

2.118

2.347

2.522

17

421

0.513

1.486

0.257

0.740

0.841

0.990

1.086

1.226

1.486

1.771

1.947

2.081

2.309

2.483

18

328

0.513

1.453

0.253

0.733

0.831

0.974

1.068

1.202

1.453

1.728

1.897

2.025

2.244

2.411

All girls

3784

     

0.767

0.885

1.047

1.152

1.303

1.576

1.876

2.001

2.159

2.392

2.603

AST, aspartate aminotransferase; ALT, alanine aminotransferase

3. Comparison of adjusted mean values of cardiometabolic risk factors according to AST, ALT, and the AST/ALT ratio

We compared the mean values of cardiometabolic risk factors, namely, WC, systolic/diastolic BP, glucose, T-C, TG, HDL-C and LDL-C stratified into normal (< 75th percentile), borderline-high (75th ≥ and < 95th percentile) and high (≥ 95th percentile) groups for AST and ALT and normal (>25th percentile), borderline-high (>5th and ≤25th percentile) and high (≤5th percentile) groups for the AST/ALT ratio. The upper limits of normal for boys and girls were estimated to be AST values of 23 and 20 IU/L, ALT values of 19 and 14 IU/L, and the AST/ALT ratios of 0.65 and 0.90, respectively.

The influences of AST, ALT and the AST/ALT ratio on cardiometabolic risk factors are summarized in Table 3. After adjustment for potential confounders, a comparison revealed that the adjusted mean values of T-C, TG, HDL-C and, LDL-C were significantly higher in the borderline-high AST group than in the normal group. ALT levels were associated not only with lipid profiles but also with WC and BP. In the analysis of the AST/ALT ratio on cardiometabolic risk factors, the borderline-high group had a higher WC SDS, systolic BP, T-C, TG, HDL-C and LDL-C than the normal group. Moreover, the high AST/ALT ratio group had a higher WC SDS, diastolic BP, glucose, T-C, TG, HDL-C and LDL-C than the normal group, in which diastolic BP, glucose, T-C, TG and LDL-C were significantly higher than those in the borderline-high group.

Table 3

The adjusted means and standard errors (SE) of cardiometabolic risk factors for groups according to aspartate transaminase (AST), alanine transaminase (ALT), and the AST/ALT ratio in children aged 10–18 years (n = 8,091).

 

Groups according to AST level

   

Boys

     

Girls

 
 

Normal

Borderline high

High

 

Normal

Borderline high

High

Waist circumference (cm)1

-0.31 ± 0.02

-0.22 ± 0.04

0.67 ± 0.08b,c

 

-0.15 ± 0.02

-0.37 ± 0.04a

-0.03 ± 0.08c

Systolic blood pressure (mmHg)2

108.74 ± 0.17

109.07 ± 0.32

108.43 ± 0.65

 

104.28 ± 0.17

103.88 ± 0.34

104.46 ± 0.67

Diastolic blood pressure (mmHg)2

66.38 ± 0.16

66.32 ± 0.30

66.72 ± 0.61

 

65.67 ± 0.15

65.20 ± 0.30

65.44 ± 0.60

Glucose (mg/dL)2

90.93 ± 0.14

90.45 ± 0.26

91.03 ± 0.53

 

89.45 ± 0.17

88.97 ± 0.33

91.10 ± 0.66c

T-C (mg/dL)2

153.10 ± 0.46

162.29 ± 0.86a

167.59 ± 1.77b,c

 

161.42 ± 0.50

171.22 ± 0.98a

170.06 ± 1.94b

TG (mg/dL)2

81.11 ± 0.81

85.99 ± 1.52a

98.58 ± 3.12b,c

 

85.02 ± 0.82

90.45 ± 1.62a

94.46 ± 3.21b

HDL-C (mg/dL)2

49.27 ± 0.17

51.73 ± 0.32a

50.51 ± 0.64

 

51.95 ± 0.19

52.99 ± 0.36a

53.18 ± 0.72

LDL-C (mg/dL)2

87.66 ± 0.40

93.37 ± 0.75a

97.36 ± 1.54b

 

92.50 ± 0.43

99.96 ± 0.86

98.14 ± 0.69

 

Groups according to ALT level

Waist circumference (cm)1

-0.51 ± 0.02

0.39 ± 0.04a

1.26 ± 0.07b,c

 

-0.34 ± 0.02

0.17 ± 0.04a

0.80 ± 0.08b,c

Systolic blood pressure (mmHg)2

108.63 ± 0.17

109.40 ± 0.34

108.91 ± 0.68

 

104.17 ± 0.17

104.22 ± 0.34

104.71 ± 0.67

Diastolic blood pressure (mmHg)2

66.09 ± 0.16

67.11 ± 0.32a

67.94 ± 0.65b

 

65.52 ± 0.15

65.42 ± 0.31

66.80 ± 0.60

Glucose (mg/dL)2

90.92 ± 0.14

90.19 ± 0.27

92.17 ± 0.55c

 

89.30 ± 0.17

89.57 ± 0.34

90.97 ± 0.67b

T-C (mg/dL)2

153.13 ± 0.46

162.67 ± 0.92a

169.61 ± 1.87b,c

 

162.04 ± 0.49

169.05 ± 0.99a

171.91 ± 1.96b

TG (mg/dL)2

78.96 ± 0.80

92.93 ± 1.61a

106.45 ± 3.26b,c

 

83.36 ± 0.80

95.32 ± 1.63a

103.67 ± 3.21b

HDL-C (mg/dL)2

49.71 ± 0.17

50.44 ± 0.34

49.84 ± 0.68

 

52.47 ± 0.18

51.41 ± 0.37a

51.32 ± 0.73

LDL-C (mg/dL)2

87.68 ± 0.40

93.66 ± 0.80a

98.51 ± 1.62b,c

 

92.86 ± 0.42

98.60 ± 0.87a

100.08 ± 1.72b

 

Groups according to ALT to AST ratio

Waist circumference (cm)1

-0.55 ± 0.02

0.49 ± 0.03a

1.11 ± 0.06b,c

 

-0.43 ± 0.02

0.27 ± 0.03a

1.00 ± 0.07b,c

Systolic blood pressure (mmHg)2

108.69 ± 0.17

109.19 ± 0.34

108.72 ± 0.64

 

104.03 ± 0.18

104.47 ± 0.31

105.39 ± 0.66

Diastolic blood pressure (mmHg)2

66.12 ± 0.16

66.68 ± 0.32

68.72 ± 0.60b,c

 

65.41 ± 0.16

65.62 ± 0.27

67.30 ± 0.59b,c

Glucose (mg/dL)2

90.83 ± 0.14

90.72 ± 0.27

91.29 ± 0.51

 

89.24 ± 0.18

89.70 ± 0.30

90.77 ± 0.65

T-C (mg/dL)2

153.38 ± 0.47

160.68 ± 0.93a

170.11 ± 1.75b,c

 

162.53 ± 0.52

166.53 ± 0.90a

168.82 ± 1.92b

TG (mg/dL)2

77.82 ± 0.82

96.38 ± 1.61a

103.50 ± 3.03b

 

83.40 ± 0.85

93.39 ± 1.47a

98.13 ± 3.14b

HDL-C (mg/dL)2

50.07 ± 0.17

49.28 ± 0.34

49.14 ± 0.64

 

52.45 ± 0.19

51.92 ± 0.33a

50.41 ± 0.71

LDL-C (mg/dL)2

87.79 ± 0.41

92.10 ± 0.81a

100.31 ± 1.51b,c

 

93.35 ± 0.45

95.94 ± 0.78a

99.07 ± 1.68b

The results are expressed as the mean ± standard error (SE)
WC, waist circumference; SDS, standard deviation score; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; T-C, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.
The normal group was classified as i) aspartate aminotransferase (AST) levels < 23 IU/L in boys, and < 20 IU/L in girls, ii) alanine aminotransferase (ALT) level < 19 IU/L in boys, and < 14 IU/L in girls, and iii) AST/ALT ratio > 1.10 in boys, and > 1.35 in girls.
The borderline-high group was classified as i) AST level ≥ 23 IU/L and 32 < IU/L in boys, and ≥ 20 IU/L and 26 < IU/L in girls, ii) ALT level ≥ 19 IU/L and < 40 IU/L in boys, and ≥ 14 IU/L and < 23 IU/L in girls, and iii) AST/ALT ratio < 0.65 and ≤ 1.10 in boys, and < 0.90 and ≤ 1.35 in girls.
The high group was classified as i) AST level ≥ 32 IU/L in boys, and ≥ 26 IU/L in girls, ii) ALT level ≥ 40 IU/L in boys, and ≥ 23 IU/L in girls, and iii) AST /ALT ratio ≤ 0.65 in boys, and ≤ 0.90 in girls.
Model 1: The adjusted means of waist circumference (WC) were estimated using analysis of covariance (ANCOVA) with Bonferroni’s post-hoc test after adjustment for age, alcohol consumption, smoking, physical activity, residence, household income, and diagnosis of hypertension, diabetes mellitus and dyslipidemia in the respective sex according to groups for AST, ALT and the AST/ALT ratio.
Model 2: The adjusted means of systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, total cholesterol (T-C), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were estimated using analysis of covariance (ANCOVA) with Bonferroni’s post-hoc test after adjustment for age, body mass index (BMI) standard deviation score (SDS), alcohol consumption, smoking, physical activity, residence, household income, and diagnosis of hypertension, diabetes mellitus and dyslipidemia in the respective sexes according to groups for AST, ALT and the AST/ALT ratio.
a: The difference was estimated between the normal group and the borderline-high group using analysis of covariance with Bonferroni’s post-hoc test.
b: The difference was estimated between the normal group and the high group using analysis of covariance with Bonferroni’s post-hoc test.
c: The difference was estimated between the borderline-high group and the high group using analysis of covariance with Bonferroni’s post-hoc test.

4. Prevalence and adjusted OR for MetS according to liver function and weight increase

The prevalence of MetS was significantly increased in the overweight and obese groups as the AST level increased but not in the normal weight group. In particular, the difference was significant between the borderline-high and high groups rather than between the normal group and the borderline-high group. Although there was a sex difference regarding the OR for some detailed components, there was no significant difference in the contribution to the overall risk increase between boys and girls. An increase in the prevalence of MetS was similarly observed in the overweight and obesity groups as ALT levels increased (Fig. 3-A). The number of components of MetS, especially more than two components, also increased as AST increased in the overweight and obesity groups (Fig. 4-A). In contrast to the AST analysis results, the prevalence of MetS increased even in the borderline-high group compared to the normal group as the ALT level increased (Fig. 3-B). In the analysis of the number of components of MetS, the presence of more than one component increased as ALT increased in the normal, overweight and obese groups (Fig. 4-B). The analysis of the AST/ALT ratio also demonstrated that the prevalence of MetS increased as the AST/ALT level decreased in the overweight and obesity groups; in contrast to the ALT values, the differences among the normal, borderline-high, and high groups were more clearly observed in the AST/ALT values (Fig. 3-C). Moreover, analysis of the number of components of MetS also clearly demonstrated that more than one component increased as the AST/ALT ratio increase not only in the overweight and obesity group, but also in the normal group (Fig. 4-C).

The adjusted ORs for MetS and its components increased as AST and ALT increased and the AST/ALT ratio deceased, which is summarized in Table 4. Adjusted ORs for elevated glucose, elevated TG and MetS were increased for subjects with a high level of AST, respectively. Moreover, adjusted ORs for all analyzed metabolic components were considerably increased in subjects with a high level of ALT. A decreased AST/ALT ratio was most closely associated with an increased risk of MetS. In addition, the combination of high ALT and a low AST/ALT was also associated with an increased risk of elevated WC, elevated BP, elevated glucose, elevated TG, reduced HDL-C and MetS, which is summarized in Table 5.

Table 4

The adjusted odds ratio and 95% confidence intervals of metabolic syndrome and its components according to the levels of aspartate aminotransferase (AST), and alanine aminotransferase (ALT), and the AST/ALT ratio in stratified with BMI of subjects aged 10–18 years (n = 8,091).

 

Groups according to AST level

 

All participants

 

Boys

 

Girls

 

Normal

Borderline high

High

 

Normal

Borderline high

High

 

Normal

Borderline high

High

Elevated WC1

Reference

1.51 (1.25–1.83)

4.55 (3.55–5.83)

 

Reference

1.94 (1.52–2.55)

7.12(5.15–9.84)

 

Reference

1.13 (0.84–1.52)

2.76 (1.86–4.12)

Elevated BP2

Reference

1.05 (0.93–1.19)

1.01 (0.81–1.27)

 

Reference

1.07 (0.91–1.27)

0.98 (0.72–1.34)

 

Reference

0.99 (0.82–1.20)

0.93 (0.66–1.31)

Elevated glucose2

Reference

1.42 (0.80–2.51)

3.71 (1.93–7.15)

 

Reference

1.30 (0.62–2.70)

2.84 (1.11–7.22)

 

Reference

1.60 (0.63–4.04)

5.40 (2.11–13.84)

Elevated TG2

Reference

1.25 (1.09–1.43)

1.70 (1.35–2.13)

 

Reference

1.18 (0.97–1.43)

1.62 (1.18–2.21)

 

Reference

1.26 (1.03–1.54)

1.59 (1.14–2.23)

Reduced HDL-C2

Reference

0.86 (0.72–1.04)

0.97 (0.73–1.31)

 

Reference

0.73 (0.58–0.93)

0.87 (0.60–1.27)

 

Reference

1.12 (0.84–1.49)

1.13 (0.70–1.84)

MetS2

Reference

1.31 (0.98–1.75)

2.08 (1.44–3.01)

 

Reference

1.33 (0.93–1.92)

1.66 (1.03–2.67)

 

Reference

1.22 (0.73–2.02)

3.32 (1.83–6.02)

 

Groups according to ALT level

Elevated WC3

Reference

5.26 (4.42–6.26)

14.64 (11.59–18.51)

 

Reference

8.68 (6.69–11.27)

27.30 (19.42–38.39)

 

Reference

3.51 (2.74–4.49)

8.94 (6.37–12.53)

Elevated BP4

Reference

1.21 (1.07–1.37)

1.57 (1.26–1.96)

 

Reference

1.30 (1.09–1.54)

1.41 (1.03–1.93)

 

Reference

1.02 (0.85–1.23)

1.60 (1.16–2.19)

Elevated glucose4

Reference

1.06 (0.58–1.95)

2.97 (1.46–6.04)

 

Reference

0.87 (0.37–2.04)

2.47 (0.89–6.91)

 

Reference

1.55 (0.64–3.78)

3.87 (1.41–10.66)

Elevated TG4

Reference

1.66 (1.45–1.90)

2.37 (1.89–2.97)

 

Reference

1.68 (1.39–2.03)

2.45 (1.78–3.37)

 

Reference

1.53 (1.26–1.86)

2.09 (1.50–2.89)

Reduced HDL-C4

Reference

1.21 (1.02–1.43)

1.45 (1.11–1.89)

 

Reference

0.97 (0.78–1.21)

1.09 (0.76–1.56)

 

Reference

1.57 (1.21–2.04)

1.93 (1.29–2.89)

MetS4

Reference

2.32 (1.76–3.06)

3.63 (2.57–5.12)

 

Reference

2.12 (1.48–3.04)

3.09 (1.95–4.88)

 

Reference

2.48 (1.60–3.84)

4.31 (2.52–7.36)

 

Groups according to AST to ALT ratio

Elevated WC3

Reference

7.48 (6.24-9.00)

22.52 (17.73–28.62)

 

Reference

11.55 (8.73–15.28)

34.44 (24.31–48.80)

 

Reference

5.18 (4.03–6.65)

15.89 (11.32–22.30)

Elevated BP4

Reference

1.17 (1.04–1.33)

1.76 (1.42–2.17)

 

Reference

1.29 (1.09–1.54)

1.68 (1.25–2.25)

 

Reference

1.01 (0.85–1.21)

1.72 (1.26–2.35)

Elevated glucose4

Reference

0.90 (0.48–1.66)

2.23 (1.06–4.71)

 

Reference

0.75 (0.31–1.81)

1.76 (0.61–5.10)

 

Reference

1.20 (0.50–2.90)

3.05 (1.02–9.12)

Elevated TG4

Reference

1.79 (1.56–2.04)

2.09 (1.67–2.62)

 

Reference

2.00 (1.65–2.43)

2.38 (1.75–3.24)

 

Reference

1.55 (1.28–1.87)

1.72 (1.22–2.41)

Reduced HDL-C4

Reference

1.34 (1.14–1.58)

1.58 (1.22–2.05)

 

Reference

1.39 (1.12–1.72)

1.29 (0.91–1.83)

 

Reference

1.39 (1.12–1.72)

1.29 (0.91–1.83)

MetS4

Reference

2.96 (2.21–3.98)

4.31 (2.98–6.23)

 

Reference

3.29 (2.24–4.84)

4.23 (2.61–6.85)

 

Reference

2.44 (1.54–3.85)

4.17 (2.33–7.45)

AST, aspartate aminotransferase; WC, waist circumference; BP, blood pressure; TG, triglyceride; HDL-C, high-density-lipoprotein cholesterol; ALT, alanine aminotransferase.
The normal group was classified as i) aspartate aminotransferase (AST) level < 23 IU/L in boys, and < 20 IU/L in girls, ii) alanine aminotransferase (ALT) level < 19 IU/L in boys, and < 14 IU/L in girls, and iii) AST/ALT ratio > 1.10 in boys, and > 1.35 in girls.
The borderline-high group was classified as i) AST level ≥ 23 IU/L and 32 < IU/L in boys, and ≥ 20 IU/L and 26 < IU/L in girls, ii) ALT level ≥ 19 IU/L and < 40 IU/L in boys, and ≥ 14 IU/L and < 23 IU/L in girls, and iii) AST/ALT ratio level < 0.65 and ≤ 1.10 in boys, and < 0.90 and ≤ 1.35 in girls.
The high group was classified as i) AST level ≥ 32 IU/L in boys, and ≥ 26 IU/L in girls, ii) ALT level ≥ 40 IU/L in boys, and ≥ 23 IU/L in girls, and iii) AST/ALT ratio ≤ 0.65 in boys, and ≤ 0.90 in girls.
Model 1: The odds ratio and 95% confidence interval of metabolic syndrome (MetS) and its components according to groups for AST, ALT and the AST/ALT ratio were determined using multiple logistic regression after adjustment for sex, age, alcohol consumption, smoking, physical activity, rural residence, household income, and diagnosis of hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia in all participants.
Model 2: The odds ratio and 95% confidence interval of MetS and its components according to groups for AST, ALT, and the AST/ALT ratio were determined using multiple logistic regression after adjustment for age, body mass index (BMI) standard deviation score (SDS), alcohol consumption, smoking, physical activity, rural residence, household income, and diagnosis of hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia in all participants.
Model 3: The odds ratio and 95% confidence interval of MetS and its components according to groups for AST, ALT and the AST/ALT ratio were determined using multiple logistic regression after adjustment for age, alcohol consumption, smoking, physical activity, rural residence, household income, and diagnosis of hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia in the respective sexes.
Model 4: The odds ratio and 95% confidence interval of MetS and its components according to groups for AST, ALT, and the AST/ALT ratio were determined using multiple logistic regression after adjustment for age, body mass index (BMI) standard deviation score (SDS), alcohol consumption, smoking, physical activity, rural residence, household income, and diagnosis of hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia in the respective sexes.

Table 5

The adjusted odds ratio and 95% confidence intervals of metabolic syndrome and its components according to groups according to the combination of alanine aminotransferase (ALT) and and the AST/ALT ratio in stratified with BMI of subjects aged 10–18 years (n = 8,091).

 

Groups according to combination of ALT and the AST/ALT ratio

 

All participants

 

Boys

 

Girls

 

Group 11

Group 21

Group 31

 

Group 12

Group 22

Group 32

 

Group 12

Group 22

Group 32

Elevated WC

Reference

6.57 (5.43–7.95)

20.45 (16.23–25.77)

 

Reference

10.54 (7.84–14.16)

35.75 (25.28–50.57)

 

Reference

4.49 (3.48–5.79)

13.17 (9.56–18.15)

Elevated BP

Reference

1.14 (1.02–1.29)

1.67 (1.38–2.03)

 

Reference

1.23 (1.04–1.45)

1.66 (1.26–2.18)

 

Reference

1.00 (0.85–1.18)

1.53 (1.16–2.03)

Elevated glucose

Reference

0.99 (0.55–1.79)

2.65 (1.33–5.27)

 

Reference

0.74 (0.32–1.74)

2.38 (0.91–6.23)

 

Reference

1.53 (0.65–3.57)

3.32 (1.16–9.46)

Elevated TG

Reference

1.71 (1.51–1.95)

2.13 (1.74–2.62)

 

Reference

1.74 (1.45–2.09)

2.28 (1.71–3.04)

 

Reference

1.61 (1.35–1.92)

1.83 (1.35–2.47)

Reduced HDL-C

Reference

1.29 (1.10–1.51)

1.51 (1.18–1.93)

 

Reference

1.18 (0.96–1.46)

1.21 (0.87–1.67)

 

Reference

1.38 (1.08–1.78)

1.86 (1.28–2.71)

MetS

Reference

2.74 (2.02–3.71)

4.31 (3.00-6.19)

 

Reference

2.73 (1.84–4.05)

3.87 (2.41–6.23)

 

Reference

2.62 (1.62–4.24)

4.72 (2.66–8.35)

WC, waist circumference; BP, blood pressure; TG, triglyceride; HDL-C, high-density-lipoprotein cholesterol; ALT, alanine aminotransferase.
Group 1 was classified as the normal group based on alanine aminotransferase (ALT) level and the normal group based on the AST/ALT ratio.
Group 2 was classified as i) the borderline-high group based on ALT level and the normal group based on the AST/ALT ratio ii) i) the borderline-high group based on ALT level and the borderline-high group based on the AST/ALT ratio, and iii) normal group based on ALT levels and borderline high group based on the AST/ALT ratio.
Group 3 was classified as i) the high group based on ALT level and normal, the borderline-high, or the high group based on the AST/ALT ratio ii) the high group based on the AST/ALT ratio and the normal, the borderline-high, or the high group based on ALT level.
Model 1: The odds ratio and 95% confidence interval of metabolic syndrome (MetS) and its components according to groups for the combination of ALT and the AST/ALT ratio were determined using multiple logistic regression after adjustment for sex, age, body mass index (BMI) standard deviation score (SDS), alcohol consumption, smoking, physical activity, rural residence, household income, and diagnosis of hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia in all participants.
Model 2: The odds ratio and 95% confidence interval of MetS and its components according to groups for the combination of the AST/ALT ratio were determined using multiple logistic regression after adjustment for age, body mass index (BMI) standard deviation score (SDS), alcohol consumption, smoking, physical activity, rural residence, household income, and diagnosis of hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia in the respective sexes.

Discussion

We found that clear differences in AST, ALT, and AST/ALT ratio curves between age- and sex- different subgroups; the AST levels tended to decrease as age, but the ALT curves were U-shaped, which resulted in trends of the AST/ALT ratio to reduce according to age and skewed to the left. In the cardiometabolic risk assessment based on our novel references, components of MetS significantly increased in high levels of AST, ALT, and AST/ALT ratio; some of the components were increased even in borderline high levels of liver enzymes in the analysis of ANCOVA with correction of age, sex, BMI, etc. Similarly, the odds ratio of metabolic risk factors also increased in the high AST, ALT, and the low AST/ALT ratio; some components of MetS were significantly increased even in borderline high levels.

In our findings, AST and ALT were higher in boys than in girls and differ over time; AST tended to decrease with age but ALT levels were U-shaped and increased with age. Those tendencies were consistent with previous reports in Korean subjects 18 and those of other ethnicities, for instance, an obvious increase in ALT levels was observed in male after the age of 11 years 17, and a sex difference with a continuous decrease in concentration from ages 2 to 14 years was observed for AST 9,17,20,21. Percentile distributions of the AST/ALT ratio showed sex differences across all observed ages in our data; the ratio was significantly higher in girls than in boys. Despite conflicts with the data of the HELENA study 10, our results were similar to those of a recent Chinese study 22, which seems to be due to ethnic or geographic differences.

Regarding on MetS, an increase in the prevalence of MetS according to AST, ALT, and the AST/ALT ratio was more clearly observed as BMI increased (Figs. 3 and 4). This result suggested that although a strong correlation between high levels of AST, ALT, and the AST/ALT ratio and most cardiometabolic risk factors exist, the interpretation of liver markers in children and adolescents could be adapted differentially depending on the differential BMI values. Previously, AST or AST/ALT ratios were known to indicate progression to diabetes 23. Similarly, in our findings, high serum AST, ALT, and the AST/ALT ratio were all associated with a high OR of elevated glucose (Table 4). These results strongly supported that a decreased AST/ALT ratio might effectively predict increased cardiometabolic risk, especially insulin resistance when high ALT exists. Of interest, our results showed that the associations of AST, ALT, and the AST/ALT ratio with cardiometabolic risk factors were significant both in boys and girls, which partially conflicts with a previous European study 10. The differential distribution of overweight or obese children in the study population might affect the analysis. In addition, differential body adiposity might also influence screening tests of liver markers. Therefore, detailed comparative studies on this point will be needed in future studies.

Based on the percentile distribution, we suggested that the upper limits of normal of AST, ALT and the AST/ALT ratio were 23 IU/L and 20 IU/L (< 75th percentile), 19 IU/L and 14 IU/L (< 75th percentile), and 1.1 and 1.35 (< 25 percentile) in boys and girls, respectively. Similar studies with non-overweight adolescents proposed sex-specific thresholds for ALT levels < 25 IU/L in males and < 22 IU/L in females to detect pediatric chronic liver disease 8. However, Labayen et al. suggested upper limits of normal for ALT of 24–25 (75th percentile) and 22–24 IU/L (75th percentile) and thresholds of the AST/ALT ratio associated with high cardiometabolic risk of 1.0-0.74 and 0.86–0.87 (ranging from 13-35th percentile) for boys and girls, respectively 10. In those studies, the estimated upper limits of normal of ALT in adolescents were higher than those in our report. This might be due to differences in ethnicities between the studies; other possibilities are differences in the proportion of subjects with obesity and severity of central adiposity levels. Although direct comparison of the AST/ALT ratio between our data and previous reports is difficult, it seems that stricter levels of the AST and ALT should be applied for Korean adolescents, especially for the overweight or obese subgroup for the precise estimation of cardiometabolic prognosis.

The main limitation of this study is the cross-sectional analysis, which cannot identify the temporal association of MetS with AST, ALT, and the AST/ALT ratio. A large population-based, longitudinal cohort study could address this limitation in the future by serial measurements of liver enzymes and follow-up for the occurrence of cardiometabolic events. The other limitation is that our data were from subjects of one ethnicity in a single country. Thus, comparisons and meta-analysis with other ethnic groups will be needed for the broad application of pediatric reference intervals. Despite of information about a family history of premature coronary heart disease, we could not exclude familial hyperlipidemia during subject selection due to limitations on laboratory tests. Combined familial hyperlipidemia frequently accompanies NAFLD in approximately 49–76% of cases 24, which implies that possible effects of these comorbidities were not completely excluded in our data. Other liver markers such as gamma-GT have also been suggested to be strong predictors of cardiovascular disease and T2DM in adults 25, and metabolic risks in adolescents 10; however, we did not analyze other possible markers in our current study.

In conclusion, we newly established reference values for AST, ALT, and the AST/ALT ratio based on the risk assessment of MetS components. High levels of AST and ALT and a low AST/ALT ratio were closely associated with the prevalence of MetS and its components. In particular, overweight and obese children and adolescents have a considerably higher prevalence of MetS and its components when liver enzymes exceed the upper limits of normal than do normal subjects. Both ALT and the AST/ALT ratio were effective in screening for metabolic risk in both sexes in a Korean population. Therefore, the age- and sex-specific reference values provided in this study may contribute to the early diagnosis and treatment of MetS.

Abbreviations

ALT: Alanine aminotransferase

AST: Aspartate aminotransferase

BP: Blood pressure

BMI: Body mass index  

CI: Confidence interval

HDL-C: High-density lipoprotein cholesterol

KCDC: Korean Centers for Disease Control and Prevention

KNHANES: The Korea National Health and Nutrition Examination Survey

LDL-C: Low-density lipoprotein cholesterol 

MetS: Metabolic syndrome 

NAFLD: Nonalcoholic fatty liver disease

NCEP-ATP III: National Cholesterol Education Program Adult Treatment Panel III 

NCEP: National Cholesterol Education Program 

ORs: Odds ratios  

SDS: Standard deviation scores 

T2DM: Type 2 diabetes mellitus 

TG: Triglyceride

TC: Total cholesterol 

WC:  Waist circumference

Declarations

Author contributions

Seo Y-J designed the study, drafted the manuscript, and analyzed the publicly available data set. Lee HS and Hwang JS reviewed and revised the manuscript and provided important intellectual content, including conceptualization of the study design. Shim YS supervised all aspects of manuscript preparation and assisted with the study formulation, data analysis, manuscript writing, and interpretation of the findings. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

Conflict of interest 

No conflicts of interest are declared. 

Data availability statement

The data that support the findings of this study are available in [the KNHANES website] at [https://knhanes.kdca.go.kr]. The data that support the findings of this study are available from the corresponding author, [Shim YS], upon reasonable request.


 

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