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Steatotic liver disease in rural and regional Victoria, according to the NAFLD and newer diagnostic criteria: retrospective cohort analyses of 2001–03 and 2016–18 data

Karl Vaz, William W Kemp, Ammar Majeed, John Lubel, Dianna Magliano, Kristen Glenister, Lisa Bourke, David Simmons and Stuart K Roberts
Med J Aust 2024; 220 (2): 97-99. || doi: 10.5694/mja2.52189
Published online: 5 February 2024

The global prevalence of non‐alcoholic fatty liver disease (NAFLD) among adults is 25–30%,1 and it is fast becoming the most frequent indication for liver transplantation.2 Its increasing prevalence is linked with the rise in that of obesity.3

The suggestion by an international expert panel that NAFLD be re‐termed “metabolic dysfunction‐associated fatty liver disease” (MAFLD)4 has been widely endorsed, including by the foremost Asia–Pacific hepatology society (Asian Pacific Association for the Study of the Liver).5 A multi‐society Delphi process (predominantly involving European and North and South American experts) reached consensus on changing the name to “metabolic dysfunction‐associated steatotic liver disease” (MASLD).6 The change was motivated by the recognition that “NAFLD” has trivialising, pejorative, and stigmatising connotations, and does not highlight the disease pathophysiology, including dysmetabolism.

As the prevalence of disease according to the criteria for the three diagnoses has not been compared, we evaluated their prevalence in regional Victoria. We analysed data collected during two longitudinal, cross‐sectional studies of health, disease, and access to health care in the Goulburn Valley in rural Victoria: CrossRoads I (CR‐I; June 2001 – February 2003) and CrossRoads II (CR‐II; October 2016 – August 2018)7 (further details: Supporting Information, section 1). The CrossRoads studies were approved by the Goulburn Valley Health Human Research Ethics Committee (GCH‐3/99, GVH‐20/16) and the Alfred Health Ethics Committee (project 310/22).

Steatotic liver disease was defined by a fatty liver index value of 60 or more,8 NAFLD as steatotic liver disease in people for whom excessive alcohol consumption (men: ≥ 30 g/day; women: ≥ 20 g/day) and viral hepatitis (CR‐I: self‐report; CR‐II: serological evidence) were not recorded.9 MAFLD and MASLD were diagnosed according to the published criteria.4,6 Each diagnosis requires evidence of both steatotic liver disease and metabolic derangement, with minor differences in the threshold applied. MAFLD permits any degree of concurrent alcohol consumption or liver disease; MASLD is more restrictive, excluding people who report excessive alcohol consumption (Box 1).

Categorical data are summarised as frequencies and proportions; differences were assessed in χ2 or Fisher exact tests. Continuous data are summarised as means with standard deviations (SDs); the statistical significance of differences was assessed in Student t tests. Age‐ and gender‐standardised prevalence was calculated using direct standardisation and Australian 2022 population data.10 P < 0.05 (two‐tailed) was deemed statistically significant. All statistical analyses were conducted in SPSS 28.0 (IBM); graphs were produced in Prism GraphPad 9.4.1.

Evaluable data (including weight and waist circumference for calculating the fatty liver index) were available for 1040 of 1048 CR‐I participants (99.2%) and 721 of 747 CR‐II participants (96.5%). Compared with CR‐I participants, the mean age of CR‐II participants was higher (59.9 [SD, 16.1] v 52.8 [SD, 15.6] years); larger proportions lived in rural areas (53.4% v 33.5%), were overweight or obese (73.0% v 68.4%), had an elevated waist circumference (80.0% v 72.0%), or consumed take‐away food at least once a week (213 of 695 [30.6%] v 271 of 1037 [26.1%]), while a smaller proportion currently smoked (67 of 695 [9.6%] v 179 of 1037 [17.3%]) (Supporting Information, table 1).

The crude prevalence of NAFLD was higher among CR‐II than CR‐I participants (38.6% v 32.7%), as was that of MAFLD (46.9% v 40.3%) and MASLD (39.1% v 34.6%). After standardisation for age and gender, no differences in prevalence between CR‐I and CR‐II participants were statistically significant (Box 2).

In total, 758 participants across the two studies satisfied the criteria for at least one of the three diagnoses. All CrossRoads participants who satisfied the NAFLD diagnostic criteria also met those for MASLD; all but one also met the diagnostic criteria for MAFLD (one person had steatotic liver disease without metabolic derangement of the degree required for MAFLD). However, 138 participants who satisfied the MAFLD criteria (CR‐I, 80; CR‐II, 58 participants) and 23 who satisfied the MASLD criteria (CR‐I, twenty; CR‐II, three participants) did not meet the NAFLD criteria because of alcohol‐related liver disease or viral hepatitis. Finally, 123 participants who satisfied the MAFLD criteria (CR‐I, 60; CR‐II, 63 participants) did not meet the MASLD criteria (excessive alcohol consumption, 116; alcohol use unknown, seven). Overall, 611 of 758 people with steatotic liver disease satisfied the criteria for all three diagnoses (80.6%; Supporting Information, figure 1).

In each CrossRoads study, the age‐ and gender‐standardised prevalence of each diagnosis was generally slightly higher in rural than regional areas (exception: MAFLD in CR‐II); the inter‐study differences in standardised prevalence were small for both regional and rural areas (Supporting Information, table 2).

The proportions of participants with steatotic liver disease with indeterminate or high fibrosis‐4 index values were larger in CR‐II than in CR‐I: NAFLD: 106 of 242 (43.8%) v 108 of 340 (31.8%; P = 0.003); MAFLD: 135 of 301 (44.9%) v 144 of 419 (34.4%; P = 0.005); MASLD: 109 of 245 (44.5%) v 121 of 360 (33.6%; P = 0.009). Across the two trials, the proportions of participants with indeterminate or high NAFLD fibrosis scores were similar for those who satisfied the criteria for NAFLD (333 of 575, 57.9%), MAFLD (413 of 704, 58.7%), or MASLD (349 of 597, 58.5%) (Box 3).

Limitations of our study include the uncertain generalisability across Australia of our study undertaken in regional and remote Victoria, the lack of ultrasound facilities for assessing steatotic liver disease, and missing data for certain covariates (eg, recording of physical activity).

We found that 43% (MAFLD) or 35% (MASLD) of regional and rural Victorian participants in the 2016–18 CR‐II study satisfied the diagnostic criteria for the newer steatotic liver disease diagnoses. Further, the concordance of these diagnoses with NAFLD across the two CrossRoads studies was good. The possibility of other liver disease allowed by the MAFLD criteria was not associated with greater fibrosis risk; the proportions of indeterminate or high fibrosis scores were similar for all three diagnoses. Information about long term clinical outcomes is still needed, but the proportion of participants with steatotic liver disease at indeterminate or high risk of fibrosis and who therefore required second line tests (eg, transient elastography) and referral to tertiary care was larger in the second than in the first CrossRoads study. The rising prevalence of steatotic liver disease, parallel to that of obesity, could place a significant burden on health care in regional and rural Victoria.

 

Box 1 – Diagnostic criteria for steatotic liver disease in adults

Diagnosis

Required criteria

Other criteria


Non‐alcoholic fatty liver disease (NAFLD)9

≥ 5% hepatic steatosis

  • No other cause of liver disease (alcohol consumption: men, < 30 g/day; women, < 20 g/day; negative viral hepatitis serology)
  • Exclusive diagnosis: other aetiologies of hepatic steatosis must be excluded

Metabolic dysfunction‐associated fatty liver disease (MAFLD)5

≥ 5% hepatic steatosis

  • Overweight/obesity: BMI ≥ 23 kg/m2 (Asians) or ≥ 25 kg/m2 (other ethnic groups) OR
  • Type 2 diabetes mellitus (standard diagnostic criteria) OR

  • Metabolic dysfunction; any two of:
    1. ‣ waist circumference ≥ 90 cm (men), ≥ 80 cm (women) (Asian), or ≥ 102 cm (men), ≥ 88 cm (women) (other ethnic groups);
    2. ‣ pre‐diabetes (standard diagnostic criteria);
    3. ‣ blood pressure ≥ 130/85 mmHg or need for antihypertensive therapy;
    4. ‣ plasma triglycerides ≥ 1.70 mmol/L or need for lipid‐lowering therapy;
    5. ‣ plasma HDL‐cholesterol < 1.0 mmol/L (men), < 1.3 mmol/L (women), or need for specific therapy;
    6. ‣ insulin resistance (homeostatic model assessment) ≥ 2.5;*
    7. ‣ plasma C‐reactive protein (high sensitivity assessment) > 2 mg/L*
  • Inclusive diagnosis (alternative aetiologies for hepatic steatosis possible)

Metabolic dysfunction‐associated steatotic liver disease (MASLD)6

≥ 5% hepatic steatosis

  • Alcohol consumption < 30 g/day (men), < 20 g/day (women) AND any one of:
    1. ‣ BMI ≥ 23 kg/m2 (Asians) or ≥ 25 kg/m2 (other ethnic groups) or waist circumference > 94 cm (men), > 80 cm (women), or ethnic group‐adjusted;
    2. ‣ fasting serum glucose ≥ 5.6 mmol/L, or 2‐hour post‐load glucose ≥ 7.8 mmol/L, or HbA1c level ≥ 39 mmol/mol, or diagnosis of or treatment for type 2 diabetes mellitus;
    3. ‣ blood pressure ≥ 130/85 mmHg or need for anti‐hypertensive therapy;
    4. ‣ plasma triglycerides ≥ 1.70 mmol/L or need for lipid‐lowering therapy;
    5. ‣ plasma HDL‐cholesterol ≤ 1.0 mmol/L (men), ≤ 1.3 mmol/L (women), or need for specific therapy.
  • Inclusive diagnosis (requires metabolic risk factor) and exclusive diagnosis (other aetiologies of hepatic steatosis must be excluded).

BMI = body mass index; HbA1c = glycated haemoglobin; HDL = high‐density lipoprotein. * Parameters for which data were not available in the two CrossRoads datasets, and were therefore not used for defining MAFLD definition in our study.

 

Box 2 – Crude and age‐ and gender‐standardised prevalence (with 95% confidence intervals) of steatotic liver disease among participants in the two CrossRoads studies, by diagnosis

Characteristic

Non‐alcoholic fatty liver disease (NAFLD)

Metabolic dysfunction‐associated fatty liver disease (MAFLD)

Metabolic dysfunction‐associated steatotic liver disease (MASLD)


Participants meeting diagnosis

 

 

 

 CrossRoads I

340/1040

419/1040

360/1040

 CrossRoads II

272/704

338/721

275/704

Crude prevalence

 

 

 

 CrossRoads I

32.7% (29.8–35.6%)

40.3% (37.3–43.3%)

34.6% (31.7–37.6%)

 CrossRoads II

38.6% (35.0–42.3%)

46.9% (43.2–50.6%)

39.1% (35.4–42.8%)

 Difference

5.9 percentage points (5.7–6.1 percentage points)

6.6 percentage points (4.4–8.8 percentage points)

4.5 percentage points (2.3–6.9 percentage points)

Standardised prevalence

 

 

 

 CrossRoads I

32.0% (28.9–35.2%)

38.5% (35.2–41.7%)

33.6% (30.4–36.7%)

 CrossRoads II

34.7% (30.2–39.1%)

42.6% (38.1–47.2%)

35.0% (30.5–39.5%)

 Difference

2.7 percentage points (–2.9% to 8.2 percentage points)

4.1 percentage points (–1.4 to 9.8 percentage points)

1.4 percentage points (–4.1% to 6.9 percentage points)


 

Box 3 – Distribution of fibrosis‐4 index and NAFLD fibrosis scores (NFS) for participants in the two CrossRoads studies who satisfied the diagnostic criteria for steatotic liver disease, by diagnosis*


NAFLD = non‐alcoholic fatty liver disease.* Fibrosis‐4 index: low risk, < 1.30; indeterminate risk, 1.30–2.67; high risk, > 2.67. NAFLD fibrosis score: low risk, < –1.455; indeterminate risk, –1.455 to 0.676; high risk, > 0.676.

Received 6 February 2023, accepted 22 September 2023

  • Karl Vaz1,2
  • William W Kemp1,2
  • Ammar Majeed1,2
  • John Lubel1,2
  • Dianna Magliano3
  • Kristen Glenister4
  • Lisa Bourke4
  • David Simmons4,5
  • Stuart K Roberts1,2

  • 1 Alfred Health, Melbourne, VIC
  • 2 Central Clinical School, Monash University, Melbourne, VIC
  • 3 Baker IDI Heart and Diabetes Institute, Melbourne, VIC
  • 4 The University of Melbourne, Shepparton, VIC
  • 5 Macarthur Clinical School, Western Sydney University, Sydney, NSW


Correspondence: s.roberts@alfred.org.au

 

Correspondence: stuart.roberts@monash.edu


Open access:

Open access publishing facilitated by Monash University, as part of the Wiley – Monash University agreement via the Council of Australian University Librarians.


Acknowledgements: 

This study was supported by a National Health and Medical Research Council partnership grant (APP 1113850).

Competing interests:

No relevant disclosures.

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