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Charatcharoenwitthaya P, Karaketklang K, Aekplakorn W. Impact of metabolic phenotype and alcohol consumption on mortality risk in metabolic dysfunction-associated fatty liver disease: a population-based cohort study. Sci Rep 2024; 14:12663. [PMID: 38830939 PMCID: PMC11148152 DOI: 10.1038/s41598-024-63453-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 05/29/2024] [Indexed: 06/05/2024] Open
Abstract
Patients with metabolic dysfunction-associated fatty liver disease (MAFLD) often present with concomitant metabolic dysregulation and alcohol consumption, potentially leading to distinct clinical outcomes. We analyzed data from 8043 participants with MAFLD in the Thai National Health Examination Survey with linked mortality records. According to the MAFLD criteria, 1432 individuals (17.2%) were categorized as having the diabetes phenotype, 5894 (71.0%) as the overweight/obesity phenotype, and 978 (11.8%) as the lean metabolic phenotype. Over 71,145 person-years, 916 participants died. Using Cox proportional hazard models adjusting for physiological, lifestyle, and comorbid factors, both diabetes (adjusted hazards ratio [aHR] 1.59, 95% CI 1.18-2.13) and lean metabolic phenotypes (aHR 1.28, 95% CI 1.01-1.64) exhibited significantly higher mortality risk compared to the overweight/obesity phenotype. A J-shaped relationship was observed between daily alcohol consumption and the risk of all-cause mortality. Daily alcohol intake exceeding 50 g for women and 60 g for men increased the all-cause mortality risk among MAFLD individuals with the lean metabolic phenotype (aHR 3.39, 95% CI 1.02-11.29). Our study found that metabolic phenotype and alcohol consumption have interactive effects on the risk of all-cause mortality in patients with MAFLD, indicating that evaluating both factors is crucial for determining prognostic outcomes and management strategies.
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Affiliation(s)
- Phunchai Charatcharoenwitthaya
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
| | - Khemajira Karaketklang
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Wichai Aekplakorn
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
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Lee HS, Han SH, Swerdloff R, Pak Y, Budoff M, Wang C. The Effect of Testosterone Replacement Therapy on Nonalcoholic Fatty Liver Disease in Older Hypogonadal Men. J Clin Endocrinol Metab 2024; 109:e757-e764. [PMID: 37656011 DOI: 10.1210/clinem/dgad511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/21/2023] [Accepted: 08/24/2023] [Indexed: 09/02/2023]
Abstract
CONTEXT Male hypogonadism is associated with visceral obesity and the metabolic syndrome: factors important for the development of nonalcoholic fatty liver disease (NAFLD). The Testosterone Trials (The T Trials) showed testosterone (T) treatment compared with placebo in older hypogonadal men was associated with decreases in cholesterol and insulin levels suggesting that T treatment may improve NAFLD. OBJECTIVE Compare effects of T vs placebo treatment on NAFLD scores and liver scans in elderly hypogonadal men. METHODS Secondary data analyses from 479 older hypogonadal men with total T < 275 ng/dL from The T Trials were performed. Three clinical liver fat scores-lipid accumulation product index, hepatic steatosis index, nonalcoholic fatty liver disease-metabolic syndrome score-and liver computed tomography (CT) Hounsfield units and liver to spleen ratio were evaluated at baseline and 12 months after treatment. RESULTS There were no statistically significant differences of change in lipid accumulation product index (P = .98), hepatic steatosis index (P = .67), and nonalcoholic fatty liver disease-metabolic syndrome (P = .52) in 246 men treated with T compared with 233 treated with placebo for 12 months. Liver CT showed no statistically significant difference of change in Hounsfield units (P = .24; n = 71 for T, n = 69 for placebo) and liver to spleen ratio (P = .74; n = 55 for T, n = 62 for placebo) between the 2 groups. CONCLUSIONS Our study did not show improvement of NAFLD in older hypogonadal men after 12 months of T vs placebo treatment, as assessed by 3 clinical scores and liver CT for hepatic steatosis. Future studies with longer treatment duration and additional NAFLD diagnostic modalities as primary outcome are warranted.
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Affiliation(s)
- Hae Seung Lee
- Division of Endocrinology, Department of Medicine, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Sang Hun Han
- Division of Endocrinology, Department of Medicine, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Ronald Swerdloff
- Division of Endocrinology, Department of Medicine, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Youngju Pak
- Division of Endocrinology, Department of Medicine, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- The Clinical and Translational Research Center, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Matthew Budoff
- Division of Cardiology, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Christina Wang
- Division of Endocrinology, Department of Medicine, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
- The Clinical and Translational Research Center, The Lundquist Institute and Harbor-UCLA Medical Center, Torrance, CA 90502, USA
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Mahachai N, Washirasaksiri C, Ariyakunaphan P, Kositamongkol C, Sitasuwan T, Tinmanee R, Auesomwang C, Sayabovorn N, Chaisathaphol T, Phisalprapa P, Charatcharoenwitthaya P, Srivanichakorn W. Clinical Predictive Score for Identifying Metabolic Dysfunction-Associated Steatotic Liver Disease in Individuals with Prediabetes Using Transient Elastography. J Clin Med 2023; 12:7617. [PMID: 38137686 PMCID: PMC10743615 DOI: 10.3390/jcm12247617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/09/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023] Open
Abstract
Scoring systems for metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with prediabetes have not been extensively explored. This study aimed to investigate the prevalence of MASLD and to develop predictive tools for its detection in high cardiometabolic people with prediabetes. A cross-sectional study was conducted using baseline data from the prediabetes cohort. All participants underwent transient elastography to assess liver stiffness. MASLD was defined using a controlled attenuation parameter value > 275 dB/m and/or a liver stiffness measurement ≥ 7.0 kPa. Cases with secondary causes of hepatic steatosis were excluded. Out of 400 participants, 375 were included. The observed prevalence of MASLD in individuals with prediabetes was 35.7%. The most effective predictive model included FPG ≥ 110 mg/dL; HbA1c ≥ 6.0%; sex-specific cutoffs for HDL; ALT ≥ 30 IU/L; and BMI levels. This model demonstrated good predictive performance with an AUC of 0.80 (95% CI 0.73-0.86). At a cutoff value of 4.5, the sensitivity was 70.7%, the specificity was 72.3%, the PPV was 58.8%, and the NPV was 81.5%. Our predictive model is practical, easy to use, and relies on common parameters. The scoring system should aid clinicians in determining when further investigations of MASLD are warranted among individuals with prediabetes, especially in settings with limited resources.
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Affiliation(s)
- Nutthachoke Mahachai
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
| | - Chaiwat Washirasaksiri
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Pinyapat Ariyakunaphan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Chayanis Kositamongkol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Tullaya Sitasuwan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Rungsima Tinmanee
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Chonticha Auesomwang
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Naruemit Sayabovorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Thanet Chaisathaphol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Pochamana Phisalprapa
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
| | - Phunchai Charatcharoenwitthaya
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Weerachai Srivanichakorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (C.W.); (P.P.)
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Ennequin G, Buchard B, Pereira B, Bonjean L, Courteix D, Lesourd B, Chapier R, Obert P, Vinet A, Walther G, Zak M, Bagheri R, Ugbolue CU, Abergel A, Dutheil F, Thivel D. Noninvasive biomarkers of non-alcoholic fatty liver disease in patients with metabolic syndrome: insights from the RESOLVE Study. Minerva Gastroenterol (Torino) 2023; 69:494-503. [PMID: 35144365 DOI: 10.23736/s2724-5985.22.03139-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The aim of the present study was to evaluate: 1) the presence of liver steatosis using Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI) and Liver Fat Score (LFS) in patients suffering from metabolic syndrome (MS); and 2) the association of FLI, HSI and LFS with the cardiometabolic risks. METHODS A total of 91 patients with MS (39 men, 52 women) and 44-age matched healthy subjects (control; 23 men and 21 women) were enrolled in the study. A continuous cardiometabolic score (MetsScore) and the noninvasive tests of hepatic steatosis were calculated for comparison and association analysis. RESULTS Liver steatosis was detected in 86%, 84% and 80% of people diagnosed with MS using FLI, HSI and LFS respectively and MetsScore increases with FLI severity (P<0.05). Also, FLI and LFS were positively associated with MetsScore (P<0.01 and P<0.05 respectively) but not HSI. Multivariate linear regression models revealed that FLI has a stronger association with MetsScore compared with HSI and LFS (P<0.001). CONCLUSIONS FLI is associated with the severity of MS and represent a good indicator to assess the relation between liver steatosis and a cardiometabolic disorders in clinical routine.
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Affiliation(s)
- Gaël Ennequin
- CRNH, AME2P, Clermont Auvergne University, Clermont-Ferrand, France -
| | - Benjamin Buchard
- Department of Digestive and Hepatobiliary Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Bruno Pereira
- Unit of Biostatistics, DRCI, CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France
| | - Line Bonjean
- CRNH, AME2P, Clermont Auvergne University, Clermont-Ferrand, France
| | - Daniel Courteix
- CRNH, AME2P, Clermont Auvergne University, Clermont-Ferrand, France
| | - Bruno Lesourd
- CRNH, AME2P, Clermont Auvergne University, Clermont-Ferrand, France
| | - Robert Chapier
- CRNH, AME2P, Clermont Auvergne University, Clermont-Ferrand, France
| | - Philippe Obert
- Laboratoire de Pharm-Écologie Cardiovasculaire (LAPEC) EA4278, Avignon University, Avignon, France
| | - Agnes Vinet
- Laboratoire de Pharm-Écologie Cardiovasculaire (LAPEC) EA4278, Avignon University, Avignon, France
| | - Guillaume Walther
- Laboratoire de Pharm-Écologie Cardiovasculaire (LAPEC) EA4278, Avignon University, Avignon, France
| | - Marek Zak
- Collegium Medicum, The Institute of Health Sciences, The Jan Kochanowski University, Kielce, Poland
| | - Reza Bagheri
- Department of Exercise Physiology, University of Isfahan, Isfahan, Iran
| | - Chris U Ugbolue
- School of Health and Life Sciences, Institute for Clinical Exercise and Health Science, University of the West of Scotland, Glasgow, UK
| | - Armand Abergel
- Department of Digestive and Hepatobiliary Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France
- UMR CNRS 6284, Clermont Auvergne University, Clermont-Ferrand, France
| | - Frédéric Dutheil
- CNRS, LaPSCo, Unit of Preventive and Occupational Medicine, Department of Physiological and Psychosocial Stress, Witty Fit, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, University of Clermont Auvergne, Clermont-Ferrand, France
| | - David Thivel
- CRNH, AME2P, Clermont Auvergne University, Clermont-Ferrand, France
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Fatty Liver as Potential Biomarker of Atherosclerotic Damage in Familial Combined Hyperlipidemia. Biomedicines 2022; 10:biomedicines10081770. [PMID: 35892670 PMCID: PMC9332610 DOI: 10.3390/biomedicines10081770] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 11/22/2022] Open
Abstract
Familial combined hyperlipidemia (FCH) is a very common inherited lipid disorder, characterized by a high risk of developing cardiovascular (CV) disease and metabolic complications, including insulin resistance (IR) and type 2 diabetes mellitus (T2DM). The prevalence of non-alcoholic fatty liver disease (NAFLD) is increased in FCH patients, especially in those with IR or T2DM. However, it is unknown how precociously metabolic and cardiovascular complications appear in FCH patients. We aimed to evaluate the prevalence of NAFLD and to assess CV risk in newly diagnosed insulin-sensitive FCH patients. From a database including 16,504 patients, 110 insulin-sensitive FCH patients were selected by general practitioners and referred to the Lipid Center. Lipid profile, fasting plasma glucose and insulin were determined by standard methods. Based on the results of the hospital screening, 96 patients were finally included (mean age 52.2 ± 9.8 years; 44 males, 52 females). All participants underwent carotid ultrasound to assess carotid intima media thickness (cIMT), presence or absence of plaque, and pulse wave velocity (PWV). Liver steatosis was assessed by both hepatic steatosis index (HSI) and abdomen ultrasound (US). Liver fibrosis was non-invasively assessed by transient elastography (TE) and by fibrosis 4 score (FIB-4) index. Carotid plaque was found in 44 out of 96 (45.8%) patients, liver steatosis was found in 68 out of 96 (70.8%) and in 41 out of 96 (42.7%) patients by US examination and HSI, respectively. Overall, 72 subjects (75%) were diagnosed with steatosis by either ultrasound or HSI, while 24 (25%) had steatosis excluded (steatosis excluded by both US and HSI). Patients with liver steatosis had a significantly higher body mass index (BMI) compared to those without (p < 0.05). Steatosis correlated with fasting insulin (p < 0.05), liver stiffness (p < 0.05), BMI (p < 0.001), and inversely with high-density lipoprotein cholesterol (p < 0.05). Fibrosis assessed by TE was significantly associated with BMI (p < 0.001) and cIMT (p < 0.05); fibrosis assessed by FIB-4 was significantly associated with sex (p < 0.05), cIMT (p < 0.05), and atherosclerotic plaque (p < 0.05). The presence of any grade of liver fibrosis was significantly associated with atherosclerotic plaque in the multivariable model, independent of alcohol habit, sex, HSI score, and liver stiffness by TE (OR 6.863, p < 0.001). In our cohort of newly diagnosed, untreated, insulin-sensitive FCH patients we found a high prevalence of liver steatosis. Indeed, the risk of atherosclerotic plaque was significantly increased in patients with liver fibrosis, suggesting a possible connection between liver disease and CV damage in dyslipidemic patients beyond the insulin resistance hypothesis.
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Boonchai P, Kositamongkol C, Jitrukthai S, Phothirat S, Mepramoon E, Nimitpunya P, Srivanichakorn W, Chaisathaphol T, Washirasaksiri C, Auesomwang C, Sitasuwan T, Tinmanee R, Sayabovorn N, Charatcharoenwitthaya P, Phisalprapa P. Clinical Differences and Non-Alcoholic Fatty Liver Disease-Related Factors of Lean and Non-Lean Patients with Metabolic Syndrome. J Clin Med 2022; 11:jcm11092445. [PMID: 35566571 PMCID: PMC9103281 DOI: 10.3390/jcm11092445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/19/2022] [Accepted: 04/24/2022] [Indexed: 12/10/2022] Open
Abstract
This study investigated differences in the clinical data and prevalence of lean and non-lean patients with non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS). Data on patients with MetS who had results of ultrasonography or transient elastography were collected from a Thai university hospital database. Patients with exclusion criteria for NAFLD diagnosis were excluded. Patients’ clinical characteristic and the performances of three non-invasive scoring systems (fatty liver index [FLI], fibrosis-4 [FIB-4] index, and NAFLD fibrosis score [NFS]) were evaluated. The 743 subjects were classified into two groups: lean MetS (131 patients) and non-lean MetS (612 patients). The NAFLD prevalence in the non-lean group (62.6%) was higher than that in the lean group (31.3%). The age-adjusted odds ratio was 3.43. Advanced fibrosis was detected in 7.6% of lean patients and 10.8% of non-lean patients. FLI was not sensitive enough to detect NAFLD in the lean group at a high cutoff, but it performed acceptably at a low cutoff. FIB-4 performed better than NFS in determining advanced fibrosis. NAFLD was more common in non-lean than lean patients. Lean patients with MetS had a relatively higher risk of NAFLD than the general population. FLI and FIB-4 index performed acceptably in both groups.
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Affiliation(s)
- Punyisa Boonchai
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Chayanis Kositamongkol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Suchanart Jitrukthai
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Sukumal Phothirat
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Euarat Mepramoon
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Pongpol Nimitpunya
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Weerachai Srivanichakorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Thanet Chaisathaphol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Chaiwat Washirasaksiri
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Chonticha Auesomwang
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Tullaya Sitasuwan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Rungsima Tinmanee
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Naruemit Sayabovorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Phunchai Charatcharoenwitthaya
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
| | - Pochamana Phisalprapa
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
- Correspondence: ; Tel./Fax: +66-2-419-7190
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