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.
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.
Authors: Quentin M Anstee; Rebecca Darlay; Simon Cockell; Marica Meroni; Olivier Govaere; Dina Tiniakos; Alastair D Burt; Pierre Bedossa; Jeremy Palmer; Yang-Lin Liu; Guruprasad P Aithal; Michael Allison; Hannele Yki-Järvinen; Michele Vacca; Jean-Francois Dufour; Pietro Invernizzi; Daniele Prati; Mattias Ekstedt; Stergios Kechagias; Sven Francque; Salvatore Petta; Elisabetta Bugianesi; Karine Clement; Vlad Ratziu; Jörn M Schattenberg; Luca Valenti; Christopher P Day; Heather J Cordell; Ann K Daly Journal: J Hepatol Date: 2020-04-13 Impact factor: 25.083
Authors: Emma L Anderson; Laura D Howe; Hayley E Jones; Julian P T Higgins; Debbie A Lawlor; Abigail Fraser Journal: PLoS One Date: 2015-10-29 Impact factor: 3.240
Authors: Shaman Rajindrajith; Arunasalam Pathmeswaran; Chamilka Jayasinghe; Dulani Kottahachchi; Anuradhani Kasturiratne; Shamila T de Silva; Madunil A Niriella; Anuradha S Dassanayake; Arjuna P de Silva; H Janaka de Silva Journal: BMC Gastroenterol Date: 2017-11-29 Impact factor: 3.067
Authors: Sivasubramanian Ramakrishnan; Geevar Zachariah; Kartik Gupta; J Shivkumar Rao; P P Mohanan; K Venugopal; Santosh Sateesh; Rishi Sethi; Dharmendra Jain; Neil Bardolei; Kalaivani Mani; Tanya Singh Kakar; Bharathraj Kidambi; Sudha Bhushan; Sunil K Verma; Balram Bhargava; Ambuj Roy; Shyam S Kothari; Rajeev Gupta; Sandeep Bansal; Sanjay Sood; Ranjit K Nath; Sanjay Tyagi; Mohit D Gupta; M P Girish; I P S Kalra; G S Wander; Satish Gupta; Subroto Mandal; Nagendra Boopathy Senguttuvan; Geetha Subramanyam; Debabatra Roy; Sibananda Datta; Kajal Ganguly; S N Routray; S S Mishra; B P Singh; B B Bharti; Mrinal K Das; Soumitra Kumar; K C Goswami; V K Bahl; Sarat Chandra; Amal Banerjee; Santanu Guha; P K Deb; H K Chopra; Prakash Deedwania; Ashok Seth Journal: Indian Heart J Date: 2019-09-18