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Zannad F, Sanyal AJ, Butler J, Ferreira JP, Girerd N, Miller V, Pandey A, Parikh CR, Ratziu V, Younossi ZM, Harrison SA. MASLD and MASH at the crossroads of hepatology trials and cardiorenal metabolic trials. J Intern Med 2024; 296:24-38. [PMID: 38738988 DOI: 10.1111/joim.13793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Abstract
Steatotic liver disease (SLD) is a worldwide public health problem, causing considerable morbidity and mortality. Patients with SLD are at increased risk for major adverse cardiovascular (CV) events, type 2 diabetes mellitus and chronic kidney disease. Conversely, patients with cardiometabolic conditions have a high prevalence of SLD. In addition to epidemiological evidence linking many of these conditions, there is evidence of shared pathophysiological processes. In December 2022, a unique multi-stakeholder, multi-specialty meeting, called MOSAIC (Metabolic multi Organ Science Accelerating Innovation in Clinical Trials) was convened to foster collaboration across metabolic, hepatology, nephrology and CV disorders. One of the goals of the meeting was to consider approaches to drug development that would speed regulatory approval of treatments for multiple disorders by combining liver and cardiorenal endpoints within a single study. Non-invasive tests, including biomarkers and imaging, are needed in hepatic and cardiorenal trials. They can be used as trial endpoints, to enrich trial populations, to diagnose and risk stratify patients and to assess treatment efficacy and safety. Although they are used in proof of concept and phase 2 trials, they are often not acceptable for regulatory approval of therapies. The challenge is defining the optimal combination of biomarkers, imaging and morbidity/mortality outcomes and ensuring that they are included in future trials while minimizing the burden on patients, trialists and trial sponsors. This paper provides an overview of some of the wide array of CV, liver and kidney measurements that were discussed at the MOSAIC meeting.
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Affiliation(s)
- Faiez Zannad
- Université de Lorraine, Inserm Clinical Investigation Center at Institut Lorrain du Coeur et des Vaisseaux, University Hospital of Nancy, Nancy, France
| | - Arun J Sanyal
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, Texas, USA
- University of Mississippi, Jackson, Mississippi, USA
| | - João Pedro Ferreira
- UnIC@RISE, Cardiovascular Research and Development Center, Department Surgery Physiology, University of Porto, Porto, Portugal
- Centre d'Investigations Cliniques Plurithématique 1433, INSERM, Université de Lorraine, Nancy, France
- F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), INSERM U1116, Centre Hospitalier Régional Universitaire de Nancy, Nancy, France
| | - Nicolas Girerd
- Université de Lorraine, Centre d'Investigation Clinique-Plurithématique, CHRU Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France
| | - Veronica Miller
- Forum for Collaborative Research, Washington, District of Columbia, USA
- University of California Berkeley School of Public Health, Berkeley, California, USA
| | | | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vlad Ratziu
- Sorbonne Université, Hôpital Pitié-Salpêtrière, Institute for Cardiometabolism and Nutrition, INSERM UMRS, Paris, France
| | | | - Stephen A Harrison
- Visiting Professor of Hepatology Radcliffe Department of Medicine, University of Oxford, Oxford, UK
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2
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Lekakis V, Papatheodoridis GV. Natural history of metabolic dysfunction-associated steatotic liver disease. Eur J Intern Med 2024; 122:3-10. [PMID: 37940495 DOI: 10.1016/j.ejim.2023.11.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/31/2023] [Accepted: 11/03/2023] [Indexed: 11/10/2023]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD), which has been the term for non-alcoholic fatty liver disease (NAFLD) since June 2023, represents the most common liver disease worldwide and is a leading cause of liver-related morbidity and mortality. A thorough knowledge of the disease's natural history is required to promptly stratify patients' risks, since MASLD is a multifaceted disorder with a broad range of clinical phenotypes. The histological disease spectrum ranges from isolated hepatic steatosis, currently named as metabolic dysfunction-associated steatotic liver (MASL), to metabolic dysfunction-associated steatohepatitis (MASH) and eventually may accumulate hepatic fibrosis and develop cirrhosis and/or hepatocellular carcinoma (HCC). Several risk factors for fibrosis progression have been identified, while the disease's progression displays notable dynamism and bidirectionality. When compared to the general population, all MASLD histological stages are substantially related with greater overall mortality, and this association exhibits a disease severity-dependent pattern. Interestingly, the fibrosis stage is the most accurate predictor of mortality among MASLD patients. The mortality attributed to MASLD predominantly stems from issues linked with the liver and cardiovascular system, as well as HCC and extrahepatic cancers. In light of the disease natural course, it is crucial to prioritize the identification of at-risk patients for disease progression in order to effectively address and change modifiable risk factors, hence mitigating disease complications. Further investigation is required to define the phenotype of rapid progressors more precisely as well as to improve risk stratification for HCC in non-cirrhotic individuals.
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Affiliation(s)
- Vasileios Lekakis
- Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital of Athens "Laiko", 17 Agiou Thoma Street, Athens 11527, Greece
| | - George V Papatheodoridis
- Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital of Athens "Laiko", 17 Agiou Thoma Street, Athens 11527, Greece.
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3
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Zelber-Sagi S, Moore JB. Practical Lifestyle Management of Nonalcoholic Fatty Liver Disease for Busy Clinicians. Diabetes Spectr 2024; 37:39-47. [PMID: 38385102 PMCID: PMC10877216 DOI: 10.2337/dsi23-0009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Weight loss achieved through a combination of healthy eating patterns that encompass the principles of the Mediterranean diet and regular physical activity is the most evidence-based treatment for nonalcoholic fatty liver disease. Although other types of diets have demonstrated efficacy in liver fat reduction, the Mediterranean diet confers additional cardiometabolic benefits. Macronutrient composition, food choices, and timing of eating can be tailored to individual preferences, culture, and financial circumstances; however, recommended healthy eating patterns are characterized by minimally processed or unprocessed foods (vegetables, legumes, nuts and seeds, fruits, whole grains, and unprocessed meats and fish) that are low in sugar, refined carbohydrates, and saturated fat and high in fiber, polyphenols, vitamins, minerals, and healthy fats. Physical activity can independently improve steatosis, prevent fibrosis and cirrhosis, and reduce mortality.
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Affiliation(s)
- Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
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Boeckmans J, Sandrin L, Knackstedt C, Schattenberg JM. Liver stiffness as a cornerstone in heart disease risk assessment. Liver Int 2024; 44:344-356. [PMID: 38014628 DOI: 10.1111/liv.15801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/05/2023] [Accepted: 11/12/2023] [Indexed: 11/29/2023]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) typically presents with hepatic fibrosis in advanced disease, resulting in increased liver stiffness. A subset of patients further develops liver cirrhosis and hepatocellular carcinoma. Cardiovascular disease is a common comorbidity in patients with MASLD and its prevalence is increasing in parallel. Recent evidence suggests that especially liver stiffness, whether or not existing against a background of MASLD, is associated with heart diseases. We conducted a narrative review on the role of liver stiffness in the prediction of highly prevalent heart diseases including heart failure, cardiac arrhythmias (in particular atrial fibrillation), coronary heart disease, and aortic valve sclerosis. Research papers were retrieved from major scientific databases (PubMed, Web of Science) until September 2023 using 'liver stiffness' and 'liver fibrosis' as keywords along with the latter cardiac conditions. Increased liver stiffness, determined by vibration-controlled transient elastography or hepatic fibrosis as predicted by biomarker panels, are associated with a variety of cardiovascular diseases, including heart failure, atrial fibrillation, and coronary heart disease. Elevated liver stiffness in patients with metabolic liver disease should lead to considerations of cardiac workup including N-terminal pro-B-type natriuretic peptide/B-type natriuretic peptide determination, electrocardiography, and coronary computed tomography angiography. In addition, patients with MASLD would benefit from heart disease case-finding strategies in which liver stiffness measurements can play a key role. In conclusion, increased liver stiffness should be a trigger to consider a cardiac workup in metabolically compromised patients.
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Affiliation(s)
- Joost Boeckmans
- Metabolic Liver Research Center, I. Department of Medicine, University Medical Center Mainz, Mainz, Germany
- In Vitro Liver Disease Modelling Team, Department of In Vitro Toxicology and Dermato-Cosmetology, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Christian Knackstedt
- Department of Cardiology, Maastricht University Medical Center+, Maastricht, the Netherlands
- Faculty of Health, Medicine, and Life Sciences, CARIM School for Cardiovascular Diseases, Maastricht, the Netherlands
| | - Jörn M Schattenberg
- Metabolic Liver Research Center, I. Department of Medicine, University Medical Center Mainz, Mainz, Germany
- Department of Medicine II, Saarland University Medical Center, Homburg, Germany
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5
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El-Kassas M, Awad A, Elbadry M, Arab JP. Tailored Model of Care for Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease. Semin Liver Dis 2024; 44:54-68. [PMID: 38272067 DOI: 10.1055/a-2253-9181] [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: 01/27/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD), is increasing globally, creating a growing public health concern. However, this disease is often not diagnosed, and accurate data on its epidemiology are limited in many geographical regions, making it challenging to provide proper care and implement effective national plans. To combat the increasing disease burden, screening and diagnosis must reach a significant number of high-risk subjects. Addressing MASLD as a health care challenge requires a multidisciplinary approach involving prevention, diagnosis, treatment, and care, with collaboration between multiple stakeholders in the health care system. This approach must be guided by national and global strategies, to be combined with efficient models of care developed through a bottom-up process. This review article highlights the pillars of the MASLD model of care (MoC), including screening, risk stratification, and establishing a clinical care pathway for management, in addition to discussing the impact of nomenclature change on the proposed MoC.
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Affiliation(s)
- Mohamed El-Kassas
- Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
- Steatotic Liver Disease Study Foundation in Middle East and North Africa (SLMENA), Cairo, Egypt
| | - Abeer Awad
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed Elbadry
- Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt
- Steatotic Liver Disease Study Foundation in Middle East and North Africa (SLMENA), Cairo, Egypt
| | - Juan Pablo Arab
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine, Western University, London, Ontario, Canada
- Department of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
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Bangaru S, Sundaresh R, Lee A, Prause N, Hao F, Dong TS, Tincopa M, Cholankeril G, Rich NE, Kawamoto J, Bhattacharya D, Han SB, Patel AA, Shaheen M, Benhammou JN. Predictive Algorithm for Hepatic Steatosis Detection Using Elastography Data in the Veterans Affairs Electronic Health Records. Dig Dis Sci 2023; 68:4474-4484. [PMID: 37864738 PMCID: PMC10635943 DOI: 10.1007/s10620-023-08043-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/12/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND AND AIMS Nonalcoholic fatty liver disease (NAFLD) has reached pandemic proportions. Early detection can identify at-risk patients who can be linked to hepatology care. The vibration-controlled transient elastography (VCTE) controlled attenuation parameter (CAP) is biopsy validated to diagnose hepatic steatosis (HS). We aimed to develop a novel clinical predictive algorithm for HS using the CAP score at a Veterans' Affairs hospital. METHODS We identified 403 patients in the Greater Los Angeles VA Healthcare System with valid VCTEs during 1/2018-6/2020. Patients with alcohol-associated liver disease, genotype 3 hepatitis C, any malignancies, or liver transplantation were excluded. Linear regression was used to identify predictors of NAFLD. To identify a CAP threshold for HS detection, receiver operating characteristic analysis was applied using liver biopsy, MRI, and ultrasound as the gold standards. RESULTS The cohort was racially/ethnically diverse (26% Black/African American; 20% Hispanic). Significant positive predictors of elevated CAP score included diabetes, cholesterol, triglycerides, BMI, and self-identifying as Hispanic. Our predictions of CAP scores using this model strongly correlated (r = 0.61, p < 0.001) with actual CAP scores. The NAFLD model was validated in an independent Veteran cohort and yielded a sensitivity of 82% and specificity 83% (p < 0.001, 95% CI 0.46-0.81%). The estimated optimal CAP for our population cut-off was 273.5 dB/m, resulting in AUC = 75.5% (95% CI 70.7-80.3%). CONCLUSION Our HS predictive algorithm can identify at-risk Veterans for NAFLD to further risk stratify them by non-invasive tests and link them to sub-specialty care. Given the biased referral pattern for VCTEs, future work will need to address its applicability in non-specialty clinics. Proposed clinical algorithm to identify patients at-risk for NAFLD prior to fibrosis staging in Veteran.
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Affiliation(s)
- Saroja Bangaru
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Ram Sundaresh
- David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Anna Lee
- David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Nicole Prause
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Frank Hao
- Department of Radiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Tien S Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Monica Tincopa
- Liver Center, University of California, San Diego, San Diego, CA, 92093, USA
| | - George Cholankeril
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Nicole E Rich
- UT Southwestern Medical Center, Division of Digestive and Liver Diseases and Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, 75390, USA
| | - Jenna Kawamoto
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Debika Bhattacharya
- Division of Infectious Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Section of Infectious Diseases, Greater Los Angeles Veterans Affairs Healthcare System, Los Angeles, CA, 90075, USA
| | - Steven B Han
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
| | - Arpan A Patel
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA
- VA Center for the Study of Healthcare Innovation, Implementation, and Policy (CSHIIP), North Hills, CA, 91343, USA
| | - Magda Shaheen
- College of Medicine, Charles R Drew University, Los Angeles, CA, USA
| | - Jihane N Benhammou
- Greater Los Angeles Veterans Affairs Healthcare System, Gastroenterology, Hepatology and Parenteral Nutrition, Los Angeles, CA, 90075, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Medicine, University of California, Los Angeles, 11301 Wilshire Blvd, Building 113, Room 312, Los Angeles, CA, 90073, USA.
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Suárez M, Martínez R, Torres AM, Torres B, Mateo J. A Machine Learning Method to Identify the Risk Factors for Liver Fibrosis Progression in Nonalcoholic Steatohepatitis. Dig Dis Sci 2023; 68:3801-3809. [PMID: 37477764 DOI: 10.1007/s10620-023-08031-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 06/30/2023] [Indexed: 07/22/2023]
Abstract
AIM Nonalcoholic fatty liver disease (NAFLD) is a silent epidemy that has become the most common chronic liver disease worldwide. Nonalcoholic steatohepatitis (NASH) is an advanced stage of NAFLD, which is linked to a high risk of cirrhosis and hepatocellular carcinoma. The aim of this study is to develop a predictive model to identify the main risk factors associated with the progression of hepatic fibrosis in patients with NASH. METHODS A database from a multicenter retrospective cross-sectional study was analyzed. A total of 215 patients with NASH biopsy-proven diagnosed were collected. NAFLD Activity Score and Kleiner scoring system were used to diagnose and staging these patients. Noninvasive tests (NITs) scores were added to identify which one were more reliable for follow-up and to avoid biopsy. For analysis, different Machine Learning methods were implemented, being the eXtreme Gradient Booster (XGB) system the proposed algorithm to develop the predictive model. RESULTS The most important variable in this predictive model was High-density lipoprotein (HDL) cholesterol, followed by systemic arterial hypertension and triglycerides (TG). NAFLD Fibrosis Score (NFS) was the most reliable NIT. As for the proposed method, XGB obtained higher results than the second method, K-Nearest Neighbors, in terms of accuracy (95.05 vs. 90.42) and Area Under the Curve (0.95 vs. 0.91). CONCLUSIONS HDL cholesterol, systemic arterial hypertension, and TG were the most important risk factors for liver fibrosis progression in NASH patients. NFS is recommended for monitoring and decision making.
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Affiliation(s)
- Miguel Suárez
- Gastroenterology Department, Virgen de La Luz Hospital, Av. Hermandad de Donantes de Sangre, 1, 16002, Cuenca, Spain.
- Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain.
| | - Raquel Martínez
- Gastroenterology Department, Virgen de La Luz Hospital, Av. Hermandad de Donantes de Sangre, 1, 16002, Cuenca, Spain
| | - Ana María Torres
- Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain
| | | | - Jorge Mateo
- Medical Analysis Expert Group, Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain
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Castelnuovo G, Perez-Diaz-Del-Campo N, Rosso C, Guariglia M, Armandi A, Nicolosi A, Caviglia GP, Bugianesi E. Impact of Chronotype and Mediterranean Diet on the Risk of Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease. Nutrients 2023; 15:3257. [PMID: 37513675 PMCID: PMC10385040 DOI: 10.3390/nu15143257] [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: 06/27/2023] [Revised: 07/14/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Late chronotype, the individual's aptitude to perform daily activities late in the day, has been associated with low adherence to the Mediterranean diet (MedDiet) and metabolic syndrome. The aim of this work was to investigate the potential association of chronotype and adherence to the MedDiet with the liver fibrosis risk in patients with non-alcoholic fatty liver disease (NAFLD). Liver stiffness was assessed in 126 patients by FibroScan®530. Significant (F ≥ 2) and advanced (F ≥ 3) hepatic fibrosis were defined according to liver stiffness values ≥7.1 kPa and ≥8.8 kPa, respectively. Chronotype (MSFsc) was defined by the Munich Chronotype Questionnaire, and adherence to the MedDiet was defined by the Mediterranean diet score (MDS). Overall, the median age was 55 (46-63) years, and 57.9% of participants were male. The principal comorbidities were type-2 diabetes mellitus (T2DM) (26.1%), arterial hypertension (53.1%), dyslipidaemia (63.4%), obstructive sleep apnoea (5.5%) and depression (5.5%). Most subjects (65.0%) had intermediate + late chronotype and showed higher mid-sleep on workdays (p < 0.001) and on work-free days (p < 0.001) compared to those with early chronotype. In the logistic regression model, intermediate + late chronotype (p = 0.024), MDS (p = 0.019) and T2DM (p = 0.004) were found to be significantly and independently associated with the risk of both F ≥ 2 And F ≥ 3. We observed that the intermediate + late chronotype and low adherence to the MedDiet were associated with both significant and advanced liver fibrosis in patients with NAFLD.
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Affiliation(s)
| | | | - Chiara Rosso
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Marta Guariglia
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Angelo Armandi
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Metabolic Liver Disease Research Program, I. Department of Medicine, University Medical Center of the Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Aurora Nicolosi
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | | | - Elisabetta Bugianesi
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Gastroenterology Unit, Città della Salute e della Scienza-Molinette Hospital, 10126 Turin, Italy
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9
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Barrea L, Verde L, Savastano S, Colao A, Muscogiuri G. Adherence to Mediterranean Diet: Any Association with NAFLD? Antioxidants (Basel) 2023; 12:1318. [PMID: 37507858 PMCID: PMC10376004 DOI: 10.3390/antiox12071318] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/15/2023] [Accepted: 06/19/2023] [Indexed: 07/30/2023] Open
Abstract
Oxidative stress is considered one of the main determinants in the pathophysiology of non-alcoholic fatty liver disease (NAFLD) and obesity. The alterations of oxidant/antioxidant balance are related to chronic impairment of metabolism leading to mitochondrial dysfunction. Increased oxidative stress also triggers hepatocytes stress pathways, leading to inflammation and contributing to the progression of non-alcoholic steatohepatitis (NASH). Currently, the first-line therapeutic treatment of NAFLD is based on lifestyle interventions, suggesting the Mediterranean Diet (MD) as a preferable nutritional approach due to its antioxidant properties. However, it is still debated if adherence to MD could have a role in determining the risk of developing NAFLD directly or indirectly through its effect on weight. We enrolled 336 subjects (aged 35.87 ± 10.37 years; BMI 31.18 ± 9.66 kg/m2) assessing anthropometric parameters, lifestyle habits, metabolic parameters (fasting plasma glucose, fasting plasma insulin, triglycerides (TG), total cholesterol, low-density (LDL) and high-density lipoprotein (HDL) cholesterol, alanine transaminase (ALT), aspartate aminotransferase (AST), and γ-glutamyltransferase (γGT), cardio-metabolic indices [Homeostatic Model Assessment Insulin Resistance (HoMA-IR), visceral adipose index (VAI) and fatty liver index (FLI)] and adherence to MD [with the PREvención con DIetaMEDiterránea (PREDIMED) questionnaire]. Subjects with NAFLD had significantly higher anthropometric parameters, cardio-metabolic indices and lower adherence to MD than subjects without NAFLD. In a multiple regression analysis, PREDIMED score was the main predictor of FLI (p < 0.001) and came in first, followed by HoMA-IR, while VAI was not a predictor. A PREDIMED score value of <6 could serve as a threshold to identify patients who are more likely to have NAFLD (p < 0.001). In conclusion, high adherence to MD resulted in a lower risk of having NAFLD. Adherence to MD could have a direct role on the risk of developing NAFLD, regardless of visceral adipose tissue.
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Affiliation(s)
- Luigi Barrea
- Dipartimento di Scienze Umanistiche, Università Telematica Pegaso, Centro Direzionale Isola F2, Via Porzio, 80143 Naples, Italy
| | - Ludovica Verde
- Centro Italiano per la cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Department of Public Health, University of Naples Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Silvia Savastano
- Centro Italiano per la cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Annamaria Colao
- Centro Italiano per la cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Cattedra Unesco "Educazione Alla Salute E Allo Sviluppo Sostenibile", University Federico II, 80131 Naples, Italy
| | - Giovanna Muscogiuri
- Centro Italiano per la cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Cattedra Unesco "Educazione Alla Salute E Allo Sviluppo Sostenibile", University Federico II, 80131 Naples, Italy
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10
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Iruzubieta P, Bataller R, Arias-Loste MT, Arrese M, Calleja JL, Castro-Narro G, Cusi K, Dillon JF, Martínez-Chantar ML, Mateo M, Pérez A, Rinella ME, Romero-Gómez M, Schattenberg JM, Zelber-Sagi S, Crespo J, Lazarus JV. Research Priorities for Precision Medicine in NAFLD. Clin Liver Dis 2023; 27:535-551. [PMID: 37024222 DOI: 10.1016/j.cld.2023.01.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
NAFLD is a multisystem condition and the leading cause of chronic liver disease globally. There are no approved NAFLD-specific dugs. To advance in the prevention and treatment of NAFLD, there is a clear need to better understand the pathophysiology and genetic and environmental risk factors, identify subphenotypes, and develop personalized and precision medicine. In this review, we discuss the main NAFLD research priorities, with a particular focus on socioeconomic factors, interindividual variations, limitations of current NAFLD clinical trials, multidisciplinary models of care, and novel approaches in the management of patients with NAFLD.
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Affiliation(s)
- Paula Iruzubieta
- Gastroenterology and Hepatology Department, Clinical and Translational Research in Digestive Diseases, Valdecilla Research Institute (IDIVAL), Marqués de Valdecilla University Hospital, Avenida Valdecilla 25, 39008, Santander, Spain
| | - Ramon Bataller
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, University of Pittsburgh Medical Center, PA, USA
| | - María Teresa Arias-Loste
- Gastroenterology and Hepatology Department, Clinical and Translational Research in Digestive Diseases, Valdecilla Research Institute (IDIVAL), Marqués de Valdecilla University Hospital, Avenida Valdecilla 25, 39008, Santander, Spain
| | - Marco Arrese
- Department of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Avenida Libertador Bernardo O'Higgins 340, 8331150, Santiago, Chile
| | - José Luis Calleja
- Department of Gastroenterology and Hepatology, Puerta de Hierro University Hospital, Puerta de Hierro Health Research Institute (IDIPHIM), CIBERehd, Universidad Autonoma de Madrid, Calle Joaquín Rodrigo 1, 28222, Majadahonda, Spain
| | - Graciela Castro-Narro
- Department of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Department of Hepatology and Transplant, Hospital Médica Sur, Asociación Latinoamericana para el Estudio del Hígado (ALEH), Mexico City, Mexico
| | - Kenneth Cusi
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - John F Dillon
- Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - María Luz Martínez-Chantar
- Liver Disease Laboratory, Center for Cooperative Research in Biosciences (CIC BioGUNE), Basque Research and Technology Alliance (BRTA), Centro de Investigación Biomedica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Derio, Bizkaia, Spain
| | - Miguel Mateo
- Pharmacy Organisation and Inspection, Government of Cantabria, Santander, Spain
| | - Antonio Pérez
- Endocrinology and Nutrition Department, Santa Creu I Sant Pau Hospital, Universitat Autónoma de Barcelona, IIB-Sant Pau and Centro de Investigación Biomedica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
| | - Mary E Rinella
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Manuel Romero-Gómez
- UCM Digestive Diseases and CIBERehd, Virgen Del Rocío University Hospital, Institute of Biomedicine of Seville, University of Seville, Seville, Spain
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Mainz, Germany
| | - Shira Zelber-Sagi
- University of Haifa, School of Public Health, Mount Carmel, Haifa, Israel; Department of Gastroenterology, Tel- Aviv Medical Centre, Tel- Aviv, Israel
| | - Javier Crespo
- Gastroenterology and Hepatology Department, Clinical and Translational Research in Digestive Diseases, Valdecilla Research Institute (IDIVAL), Marqués de Valdecilla University Hospital, Avenida Valdecilla 25, 39008, Santander, Spain.
| | - Jeffrey V Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Calle del Rossellón 171, ENT-2, Barcelona ES-08036, Spain; Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; CUNY Graduate School of Public Health and Health Policy (CUNY SPH), New York, NY, USA.
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11
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Caussy C. Editorial: improvement of cardiovascular risk factor control in patients with type 2 diabetes and nonalcoholic fatty liver disease-time for action! Aliment Pharmacol Ther 2023; 57:1170-1171. [PMID: 37094300 DOI: 10.1111/apt.17467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Affiliation(s)
- Cyrielle Caussy
- Univ Lyon, CarMen Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1, 69495, Pierre-Bénite, France
- Hospices Civils de Lyon, Département Endocrinologie, Diabète et Nutrition, Hôpital Lyon Sud, 69495, Pierre-Bénite, France
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12
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Kiyasseh D, Laca J, Haque TF, Otiato M, Miles BJ, Wagner C, Donoho DA, Trinh QD, Anandkumar A, Hung AJ. Human visual explanations mitigate bias in AI-based assessment of surgeon skills. NPJ Digit Med 2023; 6:54. [PMID: 36997642 PMCID: PMC10063676 DOI: 10.1038/s41746-023-00766-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/21/2023] [Indexed: 04/03/2023] Open
Abstract
Artificial intelligence (AI) systems can now reliably assess surgeon skills through videos of intraoperative surgical activity. With such systems informing future high-stakes decisions such as whether to credential surgeons and grant them the privilege to operate on patients, it is critical that they treat all surgeons fairly. However, it remains an open question whether surgical AI systems exhibit bias against surgeon sub-cohorts, and, if so, whether such bias can be mitigated. Here, we examine and mitigate the bias exhibited by a family of surgical AI systems-SAIS-deployed on videos of robotic surgeries from three geographically-diverse hospitals (USA and EU). We show that SAIS exhibits an underskilling bias, erroneously downgrading surgical performance, and an overskilling bias, erroneously upgrading surgical performance, at different rates across surgeon sub-cohorts. To mitigate such bias, we leverage a strategy -TWIX-which teaches an AI system to provide a visual explanation for its skill assessment that otherwise would have been provided by human experts. We show that whereas baseline strategies inconsistently mitigate algorithmic bias, TWIX can effectively mitigate the underskilling and overskilling bias while simultaneously improving the performance of these AI systems across hospitals. We discovered that these findings carry over to the training environment where we assess medical students' skills today. Our study is a critical prerequisite to the eventual implementation of AI-augmented global surgeon credentialing programs, ensuring that all surgeons are treated fairly.
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Affiliation(s)
- Dani Kiyasseh
- Department of Computing and Mathematical Sciences, California Institute of Technology, California, CA, USA.
| | - Jasper Laca
- Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA
| | - Taseen F Haque
- Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA
| | - Maxwell Otiato
- Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA
| | - Brian J Miles
- Department of Urology, Houston Methodist Hospital, Texas, TX, USA
| | - Christian Wagner
- Department of Urology, Pediatric Urology and Uro-Oncology, Prostate Center Northwest, St. Antonius-Hospital, Gronau, Germany
| | - Daniel A Donoho
- Division of Neurosurgery, Center for Neuroscience, Children's National Hospital, Washington DC, WA, USA
| | - Quoc-Dien Trinh
- Center for Surgery & Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Animashree Anandkumar
- Department of Computing and Mathematical Sciences, California Institute of Technology, California, CA, USA
| | - Andrew J Hung
- Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California, California, CA, USA.
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