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Prevalence and Predictors of Nonalcoholic Fatty Liver Disease in Family Members of Patients With Nonalcoholic Fatty Liver Disease.
Anand, Abhinav; Singh, Amit A; Elhence, Anshuman; Vaishnav, Manas; Biswas, Sagnik; Gunjan, Deepak; Gamanagatti, Shivanand R; Nayak, Baibaswata; Kumar, Ramesh.
Afiliación
  • Anand A; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Singh AA; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Elhence A; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Vaishnav M; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Biswas S; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Gunjan D; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Gamanagatti SR; Department of Radiology, All India Institute of Medical Sciences, New Delhi, India.
  • Nayak B; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
  • Kumar R; Department of Gastroenterology, All India Institute of Medical Sciences, Patna, Bihar, India.
  • Shalimar; Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi, India.
J Clin Exp Hepatol ; 12(2): 362-371, 2022.
Article en En | MEDLINE | ID: mdl-35535086
ABSTRACT
Background and

aims:

Nonalcoholic fatty liver disease (NAFLD) is the commonest cause of chronic liver disease worldwide. Despite the high prevalence, no screening recommendations yet exist. We designed a prospective observational study to estimate the prevalence of NAFLD in the family of patients with NAFLD and develop a predictive model for identifying it.

Methodology:

The prevalence of NAFLD in patients' family members was estimated using ultrasonography, and univariate and multivariate odds were calculated for its predictors. A model was created using the significant parameters on multivariate odds, and its performance was tested using the area under the receiver operating characteristic (AUROC).

Results:

Among 447 family members of 191 patients with NAFLD, the prevalence of NAFLD was 55.9%. Family members with NAFLD were younger and had lower serum levels of aspartate aminotransferase, alanine aminotransferase (ALT), triglycerides. The liver stiffness measurement and controlled attenuation parameter values were also lesser in family members compared to the index cases. Age, body mass index (BMI), and ALT were independent predictors of NAFLD in the family members. A model combining age and BMI had an AUROC of 0.838 [95% confidence interval (CI) 0.800-0.876, P < 0.001]. Age ≥30 years and BMI ≥25 kg/m2 had an odds ratio of 33.5 (95% CI 17.0-66.0, P < 0.001) for prediction of NAFLD, in comparison to BMI <25 kg/m2 and age <30 years.

Conclusion:

Family members of patients with NAFLD are at increased risk of NAFLD. Screening strategies using BMI and age ensure early identification and could be beneficial in clinical practice.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Exp Hepatol Año: 2022 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Exp Hepatol Año: 2022 Tipo del documento: Article País de afiliación: India