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Chen M, Wang B, Huang J, Zhao J, Chen J, Chen G. The role of platelet-related parameters for the prediction of NAFLD in OSAHS patients. BMC Pulm Med 2022; 22:487. [PMID: 36566219 DOI: 10.1186/s12890-022-02291-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022] Open
Abstract
PURPOSE As the detection of non-alcoholic fatty liver disease (NAFLD) is imperative for the prevention of its complications, we aimed to explore the predictive value of platelet to lymphocyte count ratio (PLR) and white blood cell count to mean platelet volume ratio (WBC/MPV) in relation to the occurrence of NAFLD among patients with obstructive sleep apnea-hypopnea syndrome (OSAHS). METHODS This was a cross-sectional study consisting of 351 patients with OSAHS (279 with and 72 without NAFLD). The logistic regression analysis was performed to estimate associations between PLR, WBC/MPV, and NAFLD. Finally, the receiver operating characteristic curve (ROC curve) was used to analyze the efficacy of PLR and WBC/MPV in NAFLD prediction. RESULTS Compared to the OSAHS-only group, there was a rising trend in AHI and TS90% in the OSAHS + NAFLD group. And the logistic regression analysis identified average oxygen saturation (MaSO2), WBC/MPV and PLR as predicted factors (odds ratio [OR] = 1.134, P = 0.031; OR = 7.559, P = 0.018, OR = 0.980, P < 0.001, respectively) for NAFLD in OSAHS patients. Moreover, compared with WBC/MPV, PLR, FLI, and APRI, a combination of WBC/MPV and PLR presented the largest AUC for the detection of NAFLD in BMI < 28 kg/m2 (0.753, 95% CI 0.684-0.822), and in age ≥ 60 years subgroup (0.786, 95% CI 0.692-0.880) in ROC analysis. Meanwhile, a combination of WBC/MPV and PLR presented the second largest AUC for the detection of NAFLD in all subjects (0.743, 95% CI 0.708-0.831), as well as in the age < 60 years subgroup (0.729, 95% CI 0.652-0.806), only ranked after FLI, suggesting the combination of WBC/MPV and PLR has a good predictive value for NAFLD in OSAHS patients. CONCLUSION We confirmed that the levels of WBC/MPV, PLR, and MaSO2 were closely related to the occurrence of NAFLD among OSAHS patients. Furthermore, our results highlighted the clinical combination of WBC/MPV and PLR levels could act as a simple and effective biomarker for screening NAFLD in patients with OSAHS.
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Affiliation(s)
- Menglan Chen
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Fujian Provincial Sleep-Disordered Breathing Clinic Center, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Institute of Respiratory Disease, Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian Province, People's Republic of China
| | - Biying Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Fujian Provincial Sleep-Disordered Breathing Clinic Center, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Institute of Respiratory Disease, Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian Province, People's Republic of China
| | - Jiefeng Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Fujian Provincial Sleep-Disordered Breathing Clinic Center, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Institute of Respiratory Disease, Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian Province, People's Republic of China
| | - Jianming Zhao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Fujian Provincial Sleep-Disordered Breathing Clinic Center, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Institute of Respiratory Disease, Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian Province, People's Republic of China
| | - Jia Chen
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Fujian Provincial Sleep-Disordered Breathing Clinic Center, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Institute of Respiratory Disease, Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China.,Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian Province, People's Republic of China
| | - Gongping Chen
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China. .,Fujian Provincial Sleep-Disordered Breathing Clinic Center, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China. .,Institute of Respiratory Disease, Fujian Medical University, No. 20, Chazhong Road, Taijiang District, Fuzhou, 350005, Fujian Province, People's Republic of China. .,Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian Province, People's Republic of China.
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Metabolic and Hepatic Effects of Energy-Reduced Anti-Inflammatory Diet in Younger Adults with Obesity. Can J Gastroenterol Hepatol 2021; 2021:6649142. [PMID: 33628758 PMCID: PMC7886596 DOI: 10.1155/2021/6649142] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/14/2020] [Accepted: 01/25/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Associated with epidemics of obesity, nonalcoholic fatty liver disease (NAFLD) is becoming the most prevalent liver disease worldwide. The cornerstone of therapy for NAFLD is lifestyle intervention, mainly focused on weight loss. Significant weight loss results from energy-restricted diets, regardless of macronutrient distribution. An anti-inflammatory diet was related to lower odds of NAFLD among daily alcohol drinkers and individuals with metabolic syndrome. This study aims to evaluate the effect of an energy-reduced anti-inflammatory diet on liver status in younger adults with obesity after a 6-month follow-up. METHODS A two-arm randomized controlled trial surveyed 81 participants' (mean age, 43 years) anthropometric and body composition changes. Metabolic status was determined with glycaemic and lipid status, inflammatory status with hs-CRP, IL-6, and TNF-α, and liver status with liver enzymes, NAFLD-FLS, FLI, and FIB-4 indices. The inflammatory potential of the diet was assessed by the Dietary Inflammatory Index, DII®. RESULTS Energy-restricted anti-inflammatory diet resulted in significant weight loss (-7.1%, p < 0.001), in reducing the visceral adiposity (-22.3%, p < 0.001), metabolic (HOMA-IR, -15.5%; total cholesterol, -5.3%; LDL-C, -4.6%; triglycerides, -12.2%), and inflammatory biomarkers (hs-CRP, -29.5%; IL-6, -18.2%; TNF-α, -34.2%), with significant improvement of liver parameters (NAFLD-FLS, -143.4%; FLI, -14.3%; FIB-4, -2.5%). CONCLUSION The study showed the effectiveness of the anti-inflammatory diet with significant improvement of liver parameters in younger adults with obesity, which may reinforce the effectiveness of nutrition-based lifestyle programs, with an anti-inflammatory dietary approach for the treatment and resolution of NAFLD.
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Jovanović GK, Mrakovcic-Sutic I, Udović IŠ, Majanović SK. Evaluating the effect of an energy-restricted anti-inflammatory diet on weight loss, body composition, cardiometabolic risk factors and immune system response in younger adults with obesity: Study protocol for a randomized controlled trial. Eur J Integr Med 2020. [DOI: 10.1016/j.eujim.2020.101165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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4
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Tyrovolas S, Panagiotakos DB, Georgousopoulou EN, Chrysohoou C, Skoumas J, Pan W, Tousoulis D, Pitsavos C. The anti-inflammatory potential of diet and nonalcoholic fatty liver disease: the ATTICA study. Therap Adv Gastroenterol 2019; 12:1756284819858039. [PMID: 31258620 PMCID: PMC6591656 DOI: 10.1177/1756284819858039] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 05/20/2019] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is correlated with low-grade inflammation and dietary habits. Until today, there have been limited epidemiologic data assessing the role of diet's inflammatory potential on NAFLD. The aim was to evaluate the relationship between an anti-inflammatory diet, as reflected by the Dietary Anti-Inflammation Index (D-AII), and NAFLD among cardiovascular disease (CVD)-free adults. METHODS ATTICA is a prospective, population-based study that recruited 3042 adults without pre-existing CVD from the Greek population (Whites; age ⩾18 years; 1514 men and 1528 women). D-AII was calculated using a standard procedure. The baseline study captured various sociodemographic, lifestyle and clinical characteristics as well as hepatic markers. These were used to calculate four NAFLD assessment indices: triglyceride-glucose (TyG) index, fatty liver index (FLI), hepatic steatosis index (HSI), and NAFLD Fatty Liver Score (NAFLD-FLS). Specific cutoffs were applied to capture NAFLD. RESULTS D-AII showed a significant inverse association with NAFLD, applying the four indices with NAFLD cutoffs [odds ratio (OR) with 95% confidence interval (CI); TyG (0.95, 0.93-0.98); HSI (0.89, 0.86-0.92); FLI (0.88, 0.85-0.91); NAFLD-FLS (0.89, 0.86-0.92)], after adjusting for various confounders. Participants in the highest D-AII tertile had lower odds of having NAFLD, compared with those in the lowest D-AII tertile [(OR, 95% CI); TyG (0.33, 0.24-0.47); HSI (0.13, 0.08-0.23); FLI (0.05, 0.02-0.11); NAFLD-FLS (0.13, 0.07-0.23)]. Anti-inflammatory nutrition was related to lower odds of NAFLD among daily alcohol drinkers and individuals with metabolic syndrome. CONCLUSIONS Anti-inflammatory diet is an important predictor of NAFLD among adults without pre-existing CVD. Adherence to a high anti-inflammatory diet seems to contribute to NAFLD prevention.
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Affiliation(s)
- Stefanos Tyrovolas
- Parc Sanitari Sant Joan de Déu, Universitat de
Barcelona. Fundació Sant Joan de Déu, Dr Antoni Pujades, Barcelona,
Spain,Instituto de Salud Carlos III, Centro de
Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid,Department of Science of Dietetics and
Nutrition, School of Health Science and Education, Harokopio University,
Athens, Greece
| | | | - Ekavi N. Georgousopoulou
- Department of Science of Dietetics and
Nutrition, School of Health Science and Education, Harokopio University,
Athens, Greece,Faculty of Health, University of Canberra,
Canberra, Australia,Medical School, The Australian National
University, Canberra, Australia
| | - Christina Chrysohoou
- First Cardiology Clinic, School of Medicine,
University of Athens, Athens, Greece
| | - John Skoumas
- First Cardiology Clinic, School of Medicine,
University of Athens, Athens, Greece
| | - William Pan
- Nicholas School of the Environment, Duke
University, Durham, NC, USA,Duke Global Health Institute, Duke University,
Durham, NC, USA
| | - Dimitrios Tousoulis
- First Cardiology Clinic, School of Medicine,
University of Athens, Athens, Greece
| | - Christos Pitsavos
- First Cardiology Clinic, School of Medicine,
University of Athens, Athens, Greece
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Danin PE, Anty R, Patouraux S, Raucoules-Aimé M, Gugenheim J, Tran A, Gual P, Iannelli A. Non-invasive Evaluation of NAFLD with Indocyanine Green Clearance Test: a Preliminary Study in Morbidly Obese Patients Undergoing Bariatric Surgery. Obes Surg 2018; 28:735-742. [PMID: 28875438 DOI: 10.1007/s11695-017-2914-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Overweight and obesity dramatically increased in the last years. Hepatic complication of obesity, integrated in the term of non-alcoholic fatty liver disease (NAFLD), is a spectrum of abnormality ranging from steatosis to non-alcoholic steatohepatitis (NASH), potentially leading to cirrhosis. Liver biopsy remains the gold standard to evaluate the stage of NAFLD; however, the procedure is invasive. The indocyanine green (ICG) clearance test is performed since years to assess hepatic function before partial hepatectomy, or after liver transplantation. This study was designed to detect liver complications with the ICG clearance test in a population of obese patients scheduled for bariatric surgery. METHODS In a prospective cohort study, morbidly obese individuals receiving bariatric surgery with scheduled hepatic biopsies were investigated. Liver function was determined by the ICG test preoperatively, and blood samples were collected. Liver biopsy specimens were obtained for each patient and classified according to the NAFLD activity score (NAS) by a single pathologist that was blinded to the results of the ICG test. RESULTS Twenty-six patients were included (7 male and 19 female). The mean age of participants was 45.8 years; the mean body mass index was 41.4 kg/m2. According to the NAS, 6 (23.1%) patients revealed manifest NASH, and 5 patients were considered borderline (19.2%). A closed correlation was observed between the ICG clearance test and hepatic steatosis (r = 0.43, p = 0.03), NAS (r = 0.44, p = 0.025), and fibrosis (r = 0.49, p = 0.01). CONCLUSIONS In obese patients, non-invasive evaluation of liver function with the indocyanine green clearance test correlated with histological features of NAFLD. This may detect non-invasively hepatopathy in obese population and could motive biopsy.
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Affiliation(s)
- Pierre Eric Danin
- Anesthesia and Intensive care, L'Archet 2 Hospital, University Hospital of Nice, Archet 2 151 Route Saint Antoine de Ginestière, BP 3079, 062014, Nice, Cedex 3, France.,INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France
| | - Rodolphe Anty
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France.,Digestive Unit, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière, BP 3079, 06204, Nice, Cedex 3, France
| | - Stephanie Patouraux
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Biological Center, Pasteur Hospital, University Hospital of Nice, Nice, France.,Biological Center, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière BP 3079, Nice, 06204, Cedex 3, France
| | - Marc Raucoules-Aimé
- Anesthesia and Intensive care, L'Archet 2 Hospital, University Hospital of Nice, Archet 2 151 Route Saint Antoine de Ginestière, BP 3079, 062014, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France
| | - Jean Gugenheim
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France.,Department of Digestive Surgery, Hôpital Archet 2, 151 Route Saint Antoine de Ginestière, BP3079, 06204, Nice, Cedex 3, France
| | - Albert Tran
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France.,Digestive Unit, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière, BP 3079, 06204, Nice, Cedex 3, France
| | - Philippe Gual
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France. .,Université Côte d'Azur, Nice, France. .,Inserm U1065, Bâtiment Universitaire ARCHIMED, Equipe 8 "Complications hépatiques de l'obésité", 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.
| | - Antonio Iannelli
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France. .,Université Côte d'Azur, Nice, France. .,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France. .,Department of Digestive Surgery, Hôpital Archet 2, 151 Route Saint Antoine de Ginestière, BP3079, 06204, Nice, Cedex 3, France. .,Centre Hospitalier Universitaire de Nice, Service de Chirurgie Digestive et Transplantation Hépatique, Hôpital de l'Archet, Pôle Digestif, 151 route Saint Antoine de Ginestière, 06200, Nice, Cedex, France.
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Kühn T, Nonnenmacher T, Sookthai D, Schübel R, Quintana Pacheco DA, von Stackelberg O, Graf ME, Johnson T, Schlett CL, Kirsten R, Ulrich CM, Kaaks R, Kauczor HU, Nattenmüller J. Anthropometric and blood parameters for the prediction of NAFLD among overweight and obese adults. BMC Gastroenterol 2018; 18:113. [PMID: 30005625 PMCID: PMC6045848 DOI: 10.1186/s12876-018-0840-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 07/02/2018] [Indexed: 12/31/2022] Open
Abstract
Backround Non-alcoholic fatty liver disease (NAFLD) comprises non-progressive steatosis and non-alcoholic steatohepatitis (NASH), the latter of which may cause cirrhosis and hepatocellular carcinoma (HCC). As NAFLD detection is imperative for the prevention of its complications, we evaluated whether a combination of blood-based biomarkers and anthropometric parameters can be used to predict NAFLD among overweight and obese adults. Methods 143 overweight or obese non-smokers free of diabetes (50% women, age: 35–65 years) were recruited. Anthropometric indices and routine biomarkers of metabolism and liver function were measured to predict magnetic resonance (MR) - derived NAFLD by multivariable logistic regression models. In addition, we evaluated to which degree the use of more novel biomarkers (adiponectin, leptin, resistin, C-reactive protein, TNF-α, IL-6, IL-8 and interferon-γ) could improve prediction models. Results NAFLD was best predicted by a combination of age, sex, waist circumference, ALT, HbA1c, and HOMA-IR at an area under the receiver operating characteristic curve (AUROC) of 0.87 (95% CI: 0.81, 0.93) before and 0.85 (95% CI: 0.78, 0.91) after internal bootstrap validation. The use of additional biomarkers of inflammation and metabolism did not improve NAFLD prediction. Previously published indices predicted NAFLD at AUROCs between 0.71 and 0.82. Conclusions The AUROC of > 0.8 obtained by our regression model suggests the feasibility of a non-invasive detection of NAFLD by anthropometry and circulating biomarkers, even though further increments in the capacity of prediction models may be needed before NAFLD indices can be applied in routine clinical practice. Electronic supplementary material The online version of this article (10.1186/s12876-018-0840-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Tobias Nonnenmacher
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, D-69120, Heidelberg, Germany
| | - Disorn Sookthai
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Ruth Schübel
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | | | - Oyunbileg von Stackelberg
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, D-69120, Heidelberg, Germany
| | - Mirja E Graf
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Theron Johnson
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, D-69120, Heidelberg, Germany
| | - Romy Kirsten
- National Center for Tumor Diseases (NCT), Liquid Biobank, Im Neuenheimer Feld 460, 69120, Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120, Heidelberg, Germany
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, 2000 Circle of Hope, Salt Lake City, UT, 84112-5550, USA.,Huntsman Cancer Institute, Salt Lake City, 2000 Circle of Hope, Salt Lake City, UT, 84112-5550, USA
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, D-69120, Heidelberg, Germany
| | - Johanna Nattenmüller
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, D-69120, Heidelberg, Germany.
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Kantartzis K, Rettig I, Staiger H, Machann J, Schick F, Scheja L, Gastaldelli A, Bugianesi E, Peter A, Schulze M, Fritsche A, Häring HU, Stefan N. An extended fatty liver index to predict non-alcoholic fatty liver disease. DIABETES & METABOLISM 2017; 43:229-239. [DOI: 10.1016/j.diabet.2016.11.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Revised: 11/04/2016] [Accepted: 11/23/2016] [Indexed: 02/06/2023]
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8
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Di Martino M, Pacifico L, Bezzi M, Di Miscio R, Sacconi B, Chiesa C, Catalano C. Comparison of magnetic resonance spectroscopy, proton density fat fraction and histological analysis in the quantification of liver steatosis in children and adolescents. World J Gastroenterol 2016; 22:8812-8819. [PMID: 27818597 PMCID: PMC5075556 DOI: 10.3748/wjg.v22.i39.8812] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 06/30/2016] [Accepted: 08/01/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To establish a threshold value for liver fat content between healthy children and those with non-alcoholic fatty liver disease (NAFLD) by using magnetic resonance imaging (MRI), with liver biopsy serving as a reference standard.
METHODS The study was approved by the local ethics committee, and written informed consent was obtained from all participants and their legal guardians before the study began. Twenty-seven children with NAFLD underwent liver biopsy to assess the presence of nonalcoholic steatohepatitis. The assessment of liver fat fraction was performed using MRI, with a high field magnet and 2D gradient-echo and multiple-echo T1-weighted sequence with low flip angle and single-voxel point-resolved ¹H MR-Spectroscopy (¹H-MRS), corrected for T1 and T2* decays. Receiver operating characteristic curve analysis was used to determine the best cut-off value. Lin coefficient test was used to evaluate the correlation between histology, MRS and MRI-PDFF. A Mann-Whitney U-test and multivariate analysis were performed to analyze the continuous variables.
RESULTS According to MRS, the threshold value between healthy children and those with NAFLD is 6%; using MRI-PDFF, a cut-off value of 3.5% is suggested. The Lin analysis revealed a good fit between the histology and MRS as well as MRI-PDFF.
CONCLUSION MRS is an accurate and precise method for detecting NAFLD in children.
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9
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Meffert PJ, Baumeister SE, Lerch MM, Mayerle J, Kratzer W, Völzke H. Development, external validation, and comparative assessment of a new diagnostic score for hepatic steatosis. Am J Gastroenterol 2014; 109:1404-14. [PMID: 24957156 DOI: 10.1038/ajg.2014.155] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Accepted: 04/04/2014] [Indexed: 12/11/2022]
Abstract
OBJECTIVES We used data from population-based studies to determine the accuracy of the Fatty Liver Index (FLI) and the Hepatic Steatosis Index (HSI) in determining individual risk of hepatic steatosis. We also developed a new risk scoring system and validated all three indices using external data. METHODS We used data from the Study of Health in Pomerania (SHIP; n=4,222), conducted in North-eastern Germany, to validate the existing scoring systems and to develop our own index. Data from the South German Echinococcus Multilocularis and Internal Diseases in Leutkirch (EMIL) study (n=2,177) were used as an external validation data set. Diagnostic performance was evaluated in terms of discrimination (area under the receiver operating characteristic curve (AUC)) and calibration plots. We applied boosting for generalized linear models to select relevant diagnostic separators. RESULTS The FLI accurately discriminated patients with fatty liver disease from those without (AUC=0.817) but had poor calibration, in that predicted risks differed considerably from observed risks, based on SHIP data. The FLI performed well in discrimination and calibration in the analysis of EMIL data (AUC=0.890). The HSI performed worse than the FLI in analysis of both data sets (SHIP: AUC=0.782 and EMIL: AUC=0.841), showing an extremely skewed calibration. Our newly developed risk score had a good performance in the development data set (SHIP: AUC=0.860) and also good discrimination ability in the validation data (EMIL: AUC=0.876), but it had low calibration based on the validation data set. CONCLUSIONS We compared the ability of the FLI, HSI, and our own scoring system to determine the risk of hepatic steatosis using two population-based data sets (one for the development of our own system and one for validation). In the development and independent replication data set, all three indices discriminated well between patients with and without hepatic steatosis, but the predicted risks did not match well with the observed risks, when applied to external data. Scoring systems for fatty liver disease could depend on methodological standardization of ultrasound diagnosis and laboratory measurements.
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Affiliation(s)
- Peter J Meffert
- Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
| | - Sebastian E Baumeister
- Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
| | - Julia Mayerle
- Department of Medicine A, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
| | - Wolfgang Kratzer
- Department of Internal Medicine I, University of Ulm, Medical Centre, Ulm, Germany
| | - Henry Völzke
- Institute for Community Medicine, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
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Guiu B, Petit JM, Capitan V, Aho S, Masson D, Lefevre PH, Favelier S, Loffroy R, Vergès B, Hillon P, Krausé D, Cercueil JP. Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study. Radiology 2012; 265:96-103. [PMID: 22843768 DOI: 10.1148/radiol.12112478] [Citation(s) in RCA: 128] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE To compare pure molecular diffusion, D, perfusion-related diffusion, D*, and perfusion fraction, f, determined from diffusion-weighted (DW) magnetic resonance (MR) imaging on the basis of the intravoxel incoherent motion (IVIM) theory in patients with type 2 diabetes with and without liver steatosis. MATERIALS AND METHODS This prospective study was approved by the appropriate ethics committee, and written informed consent was obtained from all patients. Between December 2009 and September 2011, 108 patients with type 2 diabetes (51 men, 57 women; mean age, 50 years) underwent 3.0-T single-voxel point-resolved proton MR spectroscopy of the liver (segment VII) to calculate the liver fat fraction from water (4.76 ppm) and methylene (1.33 ppm) peaks, corrected for T1 and T2 decay. Steatosis was defined as a liver fat fraction of at least 5.56%. DW imaging was performed by using a single-shot echo-planar sequence with 11 b values (0, 5, 15, 25, 35, 50, 100, 200, 400, 600, 800 sec/mm2). Liver D, D*, and f were measured and compared in patients with and patients without steatosis (Mann-Whitney test). RESULTS The mean liver fat fraction was 7.8% (standard deviation, 9%; range, 0.99%-45%). Forty patients had liver steatosis. D was significantly lower in steatotic compared with nonsteatotic livers (mean, 1.03×10(-3) mm2/sec±0.23 [standard deviation] vs 1.24×10(-3) mm2/sec±0.15, respectively; P<.0001), as was D* (mean, 72.2×10(-3) mm2/sec±61.4 vs 110.6×10(-3) mm2/sec±79; P=.0025). However, f was significantly higher in steatotic compared with nonsteatotic livers (mean, 33.8%±9.4 vs 26.9%±8.8; P=.0003). CONCLUSION D is significantly decreased in steatosis. The reduction in D* reflects decreased liver parenchymal perfusion in steatosis. Therefore, steatosis can affect diffusion parameters obtained with IVIM.
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Affiliation(s)
- Boris Guiu
- University of Burgundy, INSERM U866, Department of Endocrinology, Diabetology, and Metabolic Diseases, CHU University Hospital, Dijon, France.
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Sung KC, Kim BS, Cho YK, Park DI, Woo S, Kim S, Wild SH, Byrne CD. Predicting incident fatty liver using simple cardio-metabolic risk factors at baseline. BMC Gastroenterol 2012; 12:84. [PMID: 22770479 PMCID: PMC3502272 DOI: 10.1186/1471-230x-12-84] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2011] [Accepted: 06/28/2012] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Non alcoholic fatty liver disease (NAFLD) is associated with increased risk of type 2 diabetes and chronic liver disease but identifying patients who have NAFLD without resorting to expensive imaging tests is challenging. In order to help identify people for imaging investigation of the liver who are at high risk of NAFLD, our aim was to: a) identify easily measured risk factors at baseline that were independently associated with incident fatty liver at follow up, and then b) to test the diagnostic performance of thresholds of these factors at baseline, to predict or to exclude incident fatty liver at follow up. METHODS 2589 people with absence of fatty liver on ultrasound examination at baseline were re-examined after a mean of 4.4 years in a Korean occupational cohort study. Multi-variable logistic regression analyses were used to identify baseline factors that were independently associated with incident fatty liver at follow up. The diagnostic performance of thresholds of these baseline factors to identify people with incident fatty liver at follow-up was assessed using receiver operating characteristic (ROC) curves. RESULTS 430 incident cases of fatty liver were identified. Several factors were independently associated with incident fatty liver: increased triglyceride (per mmol/l increase) OR 1.378 [95%CIs 1.179, 1.611], p < 0.0001; glucose (per mmol/l increase) OR 1.215 [95%CIs 1.042, 1.416], p = 0.013; waist (per cm increase) OR 1.078 [95%CIs 1.057, 1.099], p < 0.001; ALT (per IU/L increase) OR 1.009 [95%CIs 1.002, 1.017], p = 0.016; and platelets (per 1x10⁹/L increase) OR 1.004 [1.001, 1.006], p = 0.001; were each independently associated with incident fatty liver. Binary thresholds of the five factors were applied and the area under the ROC curve for incident fatty liver was 0.75 (95%CI 0.72-0.78) for the combination of all five factors above these thresholds. CONCLUSION Simple risk factors that overlap considerably with risk factors for type 2 diabetes allow identification of people at high risk of incident fatty liver at who use of hepatic imaging could be targeted.
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Affiliation(s)
- Ki-Chul Sung
- Division of Cardiology, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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Capitan V, Petit JM, Aho S, Lefevre PH, Favelier S, Loffroy R, Hillon P, Krausé D, Cercueil JP, Guiu B. Macroscopic heterogeneity of liver fat: an MR-based study in type-2 diabetic patients. Eur Radiol 2012; 22:2161-8. [DOI: 10.1007/s00330-012-2468-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 03/05/2012] [Accepted: 03/17/2012] [Indexed: 01/29/2023]
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Prediction for steatosis in type-2 diabetes: clinico-biological markers versus 1H-MR spectroscopy. Eur Radiol 2011; 22:855-63. [DOI: 10.1007/s00330-011-2326-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2011] [Revised: 09/26/2011] [Accepted: 10/21/2011] [Indexed: 02/06/2023]
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Neuschwander-Tetri BA, Clark JM, Bass NM, Van Natta ML, Unalp-Arida A, Tonascia J, Zein CO, Brunt EM, Kleiner DE, McCullough AJ, Sanyal AJ, Diehl AM, Lavine JE, Chalasani N, Kowdley KV. Clinical, laboratory and histological associations in adults with nonalcoholic fatty liver disease. Hepatology 2010; 52:913-24. [PMID: 20648476 PMCID: PMC3070295 DOI: 10.1002/hep.23784] [Citation(s) in RCA: 333] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
UNLABELLED The Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) was formed to conduct multicenter studies on the etiology, contributing factors, natural history, and treatment of nonalcoholic steatohepatitis (NASH). The aim of this study was to determine the associations of readily available demographic, clinical, and laboratory variables with the diagnosis of NASH and its key histological features, and determine the ability of these variables to predict the severity of nonalcoholic fatty liver disease (NAFLD). A total of 1266 adults were enrolled in NASH CRN studies between October 2004 and February 2008, of whom 1101 had available liver histology. The median age was 50 years; 82% were white and 12% Hispanic. The median body mass index was 33 kg/m(2); 49% had hypertension and 31% had type 2 diabetes. On liver biopsy, 57% were judged to have definite NASH and 31% bridging fibrosis or cirrhosis. Using data from the 698 patients with liver biopsies within 6 months of clinical data, patients with definite NASH were more likely to be female and have diabetes, higher levels of aspartate and alanine aminotransferases, alkaline phosphatase, gamma glutamyl transpeptidase, and homeostasis model assessment of insulin resistance (HOMA-IR). Progressive models for predicting histological diagnoses performed modestly for predicting steatohepatitis or ballooning (area under receiver operating characteristic curves [AUROC] ranged from 0.70-0.79), and better for advanced fibrosis (AUROC 0.73-0.85). CONCLUSION Readily available clinical and laboratory variables can predict advanced fibrosis in adults with NAFLD, but additional information is needed to reliably predict the presence and severity of NASH. Prospective studies of this well-characterized population and associated tissue bank samples offer a unique opportunity to better understand the cause and natural history of NAFLD and develop more precise means for noninvasive diagnosis.
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