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Peng Y, Wang P, Gong J, Liu F, Qiao Y, Si C, Wang X, Zhou H, Song F. Association between the Finnish Diabetes Risk Score and cancer in middle-aged and older adults: Involvement of inflammation. Metabolism 2023; 144:155586. [PMID: 37164309 DOI: 10.1016/j.metabol.2023.155586] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/22/2023] [Accepted: 05/02/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Diabetes is associated with increased risk of common cancers. However, evidence of cancer risk in individuals with different diabetes risk is still scarce, and the underlying mechanism remains unknown. Therefore, we aimed to evaluate the relationship between the Finnish Diabetes Risk Score (FINDRISC) and risks of cancer incidence and mortality in a prospective study, and to explore whether low-grade inflammation partially mediated the association. METHODS A total of 330,384 participants aged 37 to 73 at baseline from the UK Biobank database was included in this study. The Cox proportional hazards model was used to examine the relationship of the FINDRISC and low-grade inflammation with risks of cancer incidence and mortality. Then, we estimated the contribution of higher FINDRISC to risks of overall and site-specific cancers. In addition, the role of low-grade inflammation in the association between FINDRISC and cancer risks was investigated through mediation analysis. RESULTS The increased FINDRISC was dose-dependently associated with higher incidence and mortality risks of overall cancer and an overwhelming majority of site-specific cancers. The higher FINDRISC was a strong contributor to incidence of eighteen site-specific cancers and mortality of fourteen site-specific cancers, with a population-attributable risk of 8.1 %-39.1 %, 14.2 %-39.7 %, respectively. Additionally, low-grade inflammation mainly mediated the association between the FINDRISC and risks of incidence and mortality of overall cancer, colorectal cancer, etc. CONCLUSIONS: Our findings highlighted the higher FINDRISC as critical risk factors of cancer incidence and mortality, partially mediated by low-grade inflammation. Individuals with increased risk of diabetes are also needed to be concerned about cancer prevention.
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Affiliation(s)
- Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Jianxiao Gong
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Yating Qiao
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Huijun Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Tianjin, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.
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Kuznetsova AS, Dolgushina AI, Selyanina AA, Sokolova TA, Olevskaya ER, Genkel VV. The FINDRISC scale as a risk assessment tool for liver fibrosis in patients with nonalcoholic fatty liver disease. OBESITY AND METABOLISM 2022. [DOI: 10.14341/omet12832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the world, which includes changes from hepatic steatosis and nonalcoholic steatohepatitis to fibrosis and cirrhosis. Attempts to find noninvasive markers of liver fibrosis have led to a variety of scales, diagnostic algorithms, and imaging techniques. Individual studies have analyzed the relationship between the FINDRISC scale and hepatic steatosis and concluded that this questionnaire can be used as part of population screening to identify individuals at risk for hepatic steatosis. However, our review of the literature did not reveal any clinical studies on the use and effectiveness of the FINDRISC in liver fibrosis screening.AIM: To evaluate diagnostic value of FINDRISC for liver fibrosis detection.MATERIALS AND METHODS: The study enrolled patients aged 40–60 years from unorganized outpatient population. The sample of patients was formed randomly according to the inclusion and noninclusion criteria. All patients were assessed with standard anthropometric parameters. The FINDRISC questionnaire was used. All patients underwent transabdominal ultrasound examination of the liver and transient liver elastometry. The degree of steatosis was evaluated using Hamaguchi ultrasound scale. RESULTS: The study included 100 patients. An increased risk of type 2 DM (≥7 points) was detected in 68% of patients using the FINDRISC scale. Liver steatosis was diagnosed in 41% of patients. Median values of hepatic elastic modulus by transient elastometry were 4.50 (4.00; 5.25) kPa. At the same time, liver elasticity modulus values ≥5.9 kPa were registered in 11 (11.0%) patients. When analyzing the array of sensitivity and specificity values using the ROC-curve, it was found that for the FINDRISC scale the maximum LR+ and the minimum LRvalues were observed when the number of points on the indicated scale exceeded 10. At this cutoff, the FINDRISC scale had a sensitivity of 81.8% and specificity of 61.8% for detecting liver fibrosis (liver modulus of elasticity ≥5.9 kPa). The scale was of good diagnostic value (AUC 0.699; 95% CI 0.530–0.815).CONCLUSION: In an unorganized sample of patients aged 40–60 years the FINDRISC can serve as a diagnostic tool for liver fibrosis and steatosis. Sum of FINDRISC scores >10 allowed to diagnose liver fibrosis (liver elastic modulus ≥5.9kPa) with sensitivity 81.8% and specificity 61.8%. The probability of absence of hepatic fibrosis with FINDRISC scale values <10 was 96.5%.
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Affiliation(s)
| | - A. I. Dolgushina
- South-Ural State Medical University;
Chelyabinsk Regional Clinical Hospital
| | - A. A. Selyanina
- South-Ural State Medical University;
Chelyabinsk City Clinical Hospital №1
| | | | - E. R. Olevskaya
- South-Ural State Medical University;
Chelyabinsk Regional Clinical Hospital
| | - V. V. Genkel
- South-Ural State Medical University;
Chelyabinsk City Clinical Hospital №1
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Pesaro AE, Bittencourt MS, Franken M, Carvalho JAM, Bernardes D, Tuomilehto J, Santos RD. The Finnish Diabetes Risk Score (FINDRISC), incident diabetes and low-grade inflammation. Diabetes Res Clin Pract 2021; 171:108558. [PMID: 33242513 DOI: 10.1016/j.diabres.2020.108558] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/02/2020] [Accepted: 11/11/2020] [Indexed: 10/22/2022]
Abstract
AIMS The FINDRISC was created to predict the development of type 2 diabetes mellitus (T2DM). Since T2DM associates with inflammation we evaluated if the FINDRISC could predict either current or incident T2DM, and elevated high sensitivity C-reactive protein (hs-CRP). METHODS 41,880 people (age 41.9 ± 9.7 years; 31% female) evaluated between 2008 and 2016 were included. First, the cross-sectional association between the FINDRISC with presence of either T2DM or hs-CRP ≥ 2.0 mg/L was tested. After a 5 ± 3 years follow-up we tested the score predictive value for incident T2DM and inflammation in respectively 10,559 individuals without diabetes and in a subset of 2,816 individuals having no elevated hs-CRP at baseline. RESULTS In the cross sectional analysis the FINDRISC was associated with both T2DM (OR 1.24, 95% CI: 1.23-1.26, P < 0.001) and inflammation (OR 1.10, 95% CI: 1.09-1.11, P < 0.001) per FINDRISC unit, as well as in longitudinal analyses (OR 1.17, 95% CI: 1.14-1.20, P < 0.001; and OR 1.04, 95% CI: 1.02-1.07, P < 0.001; respectively, per FINDRISC unit). The C-statistic for incident T2DM and inflammation was 0.79 (95% CI 0.77-0.82) and 0.55 (95% CI 0.53-0.58), respectively. CONCLUSION The FINDRISC shows good discrimination for incident T2DM but less for inflammation.
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Affiliation(s)
| | | | | | | | | | - Jaakko Tuomilehto
- Finnish Institute for Health and Welfare, Helsinki, Finland; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Raul D Santos
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil; Heart Institute (InCor) University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
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Barim EM, McLellan KCP, Ribeiro RS, Carvalho JAMD, Lindström J, Tuomilehto J, Corrente JE, Murta-Nascimento C. Translation and cultural adaptation into Brazilian Portuguese of the Finnish Diabetes Risk Score (FINDRISC) and reliability assessment. REVISTA BRASILEIRA DE EPIDEMIOLOGIA 2020; 23:e200060. [DOI: 10.1590/1980-549720200060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 10/16/2019] [Indexed: 12/30/2022] Open
Abstract
ABSTRACT: Introduction: The Finnish Diabetes Risk Score (FINDRISC) is a tool that was initially developed to predict the risk of developing type 2 diabetes mellitus in adults. This tool is simple, quick to apply, non-invasive, and low-cost. The aims of this study were to perform a translation and cultural adaptation of the original version of FINDRISC into Brazilian Portuguese and to assess test-retest reliability. Methodology: This work was done following the ISPOR Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes Measures. Once the final Brazilian Portuguese version (FINDRISC-Br) was developed, the reliability assessment was performed using a non-random sample of 83 individuals attending a primary care health center. Each participant was interviewed by trained registered dieticians on two occasions with a mean interval of 14 days. The reliability assessment was performed by analyzing the level of agreement between the test-retest responses of FINDRISC-Br using Cohen’s kappa coefficient and the intraclass correlation coefficient (ICC). Results: The steps of ISPOR guidelines were consecutively followed without major problems. Regarding the reliability assessment, the questionnaire as a whole presented adequate reliability (Cohen’s kappa = 0.82, 95%CI 0.72 - 0.92 and ICC = 0.94, 95%CI 0.91 - 0.96). Conclusion: FINDRISC was translated into Brazilian Portuguese and culturally adapted following standard procedures. FINDRISC-Br has thus become available for use and has potential as a screening tool in different Brazilian settings and applications.
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Affiliation(s)
| | | | | | | | | | - Jaakko Tuomilehto
- National Institute for Health and Welfare, Finland; University of Helsinki, Finland; King Abdulaziz University, Saudi Arabia
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Epicardial adipose tissue thickness and type 2 diabetes risk according to the FINDRISC modified for Latin America. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS 2018; 31:15-22. [PMID: 30166212 DOI: 10.1016/j.arteri.2018.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 05/15/2018] [Accepted: 06/16/2018] [Indexed: 11/21/2022]
Abstract
BACKGROUND The Finnish Diabetes Risk Score (FINDRISC) is a tool to predict 10-year risk of type 2 diabetes mellitus (T2DM), and visceral adiposity is associated with higher cardio-metabolic risk. The objective of the study was to assess the relationship of epicardial adipose tissue (EAT) thickness with T2DM risk according to the FINDRISC tool. METHODS The study was conducted in Ciudad Bolívar, Venezuela, and included 55 subjects of whom 37 (67.3%) were women and 18 (32.7%) men with ages between 18 and 75 years. A record was made of weight, height, body mass index (BMI), waist circumference (WC), fasting glucose, baseline insulin, plasma lipids, Homeostasis Model Assessment-Insulin Resistance (HOMA-IR), and EAT thickness. The FINDRISC tool, with WC cut-off points modified for Latin America (LA-FINDRISC) was used. RESULTS BMI, WC, plasma insulin concentration, HOMA-IR index, and EAT thickness were higher (P<0.0001) in the high-risk group compared to subjects in the low-moderate risk group according to the LA-FINDRISC. LA-FINDRISC was positively correlated with BMI (r=0.513; P=0.0001), WC (r=0.524; P=0.0001), fasting blood glucose (r=0.396; P=0.003); baseline plasma insulin (r=0.483; P=0.0001); HOMA-IR index (r=0.545; P=.0.0001); and EAT thickness (r=0.702; P=0.0001). The multivariate regression analysis showed that fasting blood glucose (P=0.023) and EAT thickness (P=0.007) remained independently associated with high T2DM risk. CONCLUSIONS LA-FINDRISC was associated with EAT thickness and insulin resistance markers. Both were independently and directly associated with high risk for diabetes in the LA-FINDRISC category.
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Owolabi MO, Yaria JO, Daivadanam M, Makanjuola AI, Parker G, Oldenburg B, Vedanthan R, Norris S, Oguntoye AR, Osundina MA, Herasme O, Lakoh S, Ogunjimi LO, Abraham SE, Olowoyo P, Jenkins C, Feng W, Bayona H, Mohan S, Joshi R, Webster R, Kengne AP, Trofor A, Lotrean LM, Praveen D, Zafra-Tanaka JH, Lazo-Porras M, Bobrow K, Riddell MA, Makrilakis K, Manios Y, Ovbiagele B. Gaps in Guidelines for the Management of Diabetes in Low- and Middle-Income Versus High-Income Countries-A Systematic Review. Diabetes Care 2018; 41:1097-1105. [PMID: 29678866 PMCID: PMC5911785 DOI: 10.2337/dc17-1795] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 01/17/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The extent to which diabetes (DM) practice guidelines, often based on evidence from high-income countries (HIC), can be implemented to improve outcomes in low- and middle-income countries (LMIC) is a critical challenge. We carried out a systematic review to compare type 2 DM guidelines in individual LMIC versus HIC over the past decade to identify aspects that could be improved to facilitate implementation. RESEARCH DESIGN AND METHODS Eligible guidelines were sought from online databases and websites of diabetes associations and ministries of health. Type 2 DM guidelines published between 2006 and 2016 with accessible full publications were included. Each of the 54 eligible guidelines was assessed for compliance with the Institute of Medicine (IOM) standards, coverage of the cardiovascular quadrangle (epidemiologic surveillance, prevention, acute care, and rehabilitation), translatability, and its target audiences. RESULTS Most LMIC guidelines were inadequate in terms of applicability, clarity, and dissemination plan as well as socioeconomic and ethical-legal contextualization. LMIC guidelines targeted mainly health care providers, with only a few including patients (7%), payers (11%), and policy makers (18%) as their target audiences. Compared with HIC guidelines, the spectrum of DM clinical care addressed by LMIC guidelines was narrow. Most guidelines from the LMIC complied with less than half of the IOM standards, with 12% of the LMIC guidelines satisfying at least four IOM criteria as opposed to 60% of the HIC guidelines (P < 0.001). CONCLUSIONS A new approach to the contextualization, content development, and delivery of LMIC guidelines is needed to improve outcomes.
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Affiliation(s)
| | | | - Meena Daivadanam
- Department of Food, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden.,Department of Public Health Sciences, Karolinska Institutet, Solna, Sweden
| | | | | | | | | | - Shane Norris
- University of the Witwatersrand, Johannesburg, South Africa
| | | | | | | | | | | | | | | | | | - Wuwei Feng
- Medical University of South Carolina, Charleston, SC
| | - Hernán Bayona
- Fundación Santa Fe de Bogotá Hospital, University of the Andes, Bogota, Colombia
| | | | - Rohina Joshi
- The George Institute for Global Health, The University of New South Wales, Sydney, Australia
| | - Ruth Webster
- The George Institute for Global Health, The University of New South Wales, Sydney, Australia
| | - Andre P Kengne
- South African Medical Research Council, Cape Town, South Africa
| | - Antigona Trofor
- Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
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Lima-Martínez MM, Arrau C, Jerez S, Paoli M, González-Rivas JP, Nieto-Martínez R, Iacobellis G. Relationship between the Finnish Diabetes Risk Score (FINDRISC), vitamin D levels, and insulin resistance in obese subjects. Prim Care Diabetes 2017; 11:94-100. [PMID: 27914905 DOI: 10.1016/j.pcd.2016.11.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Revised: 10/16/2016] [Accepted: 11/06/2016] [Indexed: 12/17/2022]
Abstract
AIM To assess the relationship between 25-hydroxyvitamin D [25(OH)D] blood concentrations in subjects with obesity and type 2 diabetes mellitus (T2D) risk according to the Finnish Diabetes Risk Score (FINDRISC) modified for Latin America (LA-FINDRISC). METHODS This study was conducted in Ciudad Bolívar, Venezuela. Eighty two women and 20 men (53 obese and 49 nonobese), with an average age of 42.6±12.30 years were enrolled. Weight, height, body mass index (BMI), waist circumference (WC), fasting glucose, basal insulin, plasma lipids, Homeostasis Model Assessment-Insulin Resistance (HOMA-IR), and 25(OH)D levels were measured. FINDRISC with WC cutoff points modified for Latin America was applied. RESULTS No difference in 25(OH)D levels between obese and nonobese subjects was found. When anthropometric, clinical, and biochemical variables according to the 25(OH)D status were compared, the only difference detected was higher LA-FINDRISC in the insufficient/low 25(OH)D group compared to normal 25(OH)D levels group (12.75±6.62; vs 10.15±5.21; p=0.031). LA-FINDRISC was negatively correlated with plasma 25(OH)D levels (r=-0.302; p=0.002) and positively correlated with the HOMA-IR index (r=0.637; p=0.0001). CONCLUSIONS The LA-FINDRISC significantly correlated with both 25(OH)D levels and insulin resistance markers in this group of patients.
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Affiliation(s)
- Marcos M Lima-Martínez
- Endocrinology, Diabetes, Metabolism and Nutrition Unit, Ciudad Bolívar, Venezuela; Physiological Sciences Department, Universidad de Oriente, Ciudad Bolívar, Venezuela.
| | - Carlos Arrau
- Physiological Sciences Department, Universidad de Oriente, Ciudad Bolívar, Venezuela
| | - Saimar Jerez
- Physiological Sciences Department, Universidad de Oriente, Ciudad Bolívar, Venezuela
| | - Mariela Paoli
- Autonomous Institute the Andes University Hospital, Endocrinology Unit, Mérida, Venezuela
| | | | - Ramfis Nieto-Martínez
- Department of Physiology, School of Medicine, Universidad Centro-Occidental "Lisandro Alvarado" and Cardio-metabolic Unit 7, Barquisimeto, Venezuela; Department of Physiology, School of Medicine, University of Panamá, Panama City, Panama
| | - Gianluca Iacobellis
- Division of Endocrinology, Department of Medicine, University of Miami Miller School of Medicine, Miami, USA
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Laurinavicius AG, Bittencourt MS, Blaha MJ, Nary FC, Kashiwagi NM, Conceiçao RD, Meneghelo RS, Prado RR, Carvalho JAM, Nasir K, Blumenthal RS, Santos RD. Association between non-alcoholic hepatic steatosis and hyper reactive blood pressure response on the exercise treadmill test. QJM 2016; 109:531-7. [PMID: 26792853 PMCID: PMC4986427 DOI: 10.1093/qjmed/hcw003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Indexed: 12/28/2022] Open
Abstract
AIMS Non-alcoholic hepatic steatosis (HS) is associated with hypertension and increased cardiovascular risk. While Blood pressure hyper-reactive response (HRR) during peak exercise indicates an increased risk of incident hypertension and increased cardiovascular risk, no data on the association of non-alcoholic HS and HRR exists. In this study, we have evaluated the association of HS with HRR. METHODS We included 13 410 consecutive individuals with a mean age: 42.4 ± 8.9 years, 3561 (26.6%) female with normal resting blood pressure and without a previous diagnosis of hypertension, who underwent symptom limited exercise treadmill test, abdominal ultrasonography and clinical and laboratory evaluation. HS was detected by abdominal ultrasonography. HRR was defined by a peak exercise systolic blood pressure >220 mmHg and/or elevation of 15 mmHg or more in diastolic blood pressure from rest to peak exercise. RESULTS The prevalence of HS was 29.5% (n = 3956). Overall, 4.6% (n = 619) of the study population presented a HRR. Subjects with HS had a higher prevalence of HRR (8.1 vs. 3.1%, odds ratio 2.8, 95% CI 2.4-3.3, P < 0.001). After adjustment for body mass index, waist circumference, fasting plasma glucose and low density lipoprotein cholesterol, HS (odds ratio 1.4, 95% CI 1.1-1.6, P = 0.002) remained independently associated with HRR. HS was additive to obesity markers in predicting exercise HRR. CONCLUSIONS Non-alcoholic HS is independently associated with hyper-reactive exercise blood pressure response.
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Affiliation(s)
- A G Laurinavicius
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil, Lipid Clinic Heart Institute (InCor) University of Sao Paulo, Medical School Hospital, Av. Eneas de Carvalho Aguiar, 44, CEP-05403-900, Säo Paulo, Brazil
| | - M S Bittencourt
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil, Center for Clinical and Epidemiological Research, University Hospital, University of Sao Paulo, Av. Lineu Prestes, 2565, CEP-05508-000, Säo Paulo, Brazil
| | - M J Blaha
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, 601 North Caroline Street,Suite 7200, Baltimore, MD 21287, USA and
| | - F C Nary
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil
| | - N M Kashiwagi
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil
| | - R D Conceiçao
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil
| | - R S Meneghelo
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil
| | - R R Prado
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil
| | - J A M Carvalho
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil
| | - K Nasir
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, 601 North Caroline Street,Suite 7200, Baltimore, MD 21287, USA and Preventive Cardiology and Wellness Center, Baptist Hospital, 1691 Michigan Ave Suite 500, Miami Beach, FL 33139, United States
| | - R S Blumenthal
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, 601 North Caroline Street,Suite 7200, Baltimore, MD 21287, USA and
| | - R D Santos
- From the Preventive Medicine Center Hospital Israelita Albert Einstein, Av. Brasil, 953, CEP-01431-000, Säo Paulo, Brazil, Lipid Clinic Heart Institute (InCor) University of Sao Paulo, Medical School Hospital, Av. Eneas de Carvalho Aguiar, 44, CEP-05403-900, Säo Paulo, Brazil,
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Pinto CGDS, Marega M, Carvalho JAMD, Carmona FG, Lopes CEF, Ceschini FL, Bocalini DS, Figueira Junior AJ. Physical activity as a protective factor for development of non-alcoholic fatty liver in men. EINSTEIN-SAO PAULO 2015; 13:34-40. [PMID: 25993066 PMCID: PMC4977599 DOI: 10.1590/s1679-45082015ao2878] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Accepted: 01/07/2014] [Indexed: 01/21/2023] Open
Abstract
Objective To determine the impact of physical activity on the prevalence of fatty liver, metabolic and cardiovascular disease in adult men. Methods This study evaluated 1,399 men (40.7±8.18 years) with body mass index of 26.7kg/m2 (±3.4) who participated in the Protocol of Preventive Health Check-up at Hospital Israelita Albert Einstein from January to October 2011. We conducted tests of serum blood glucose, total cholesterol, LDL, HDL, triglycerides, reactive c-protein, aspartate transaminase, alanine transaminase and gamma-glutamyl transpeptidase. The statistical analysis comprised in the comparison of mean and standard deviation. The analysis of variance was based in two paths of two way ANOVA, Student’s t-test, Mann Whitney U test, Wald test and χ2. We considered a significance level at p<0.05 and correlation of univariate Poison with 95% confidence interval. Results :Fatty liver was diagnosed in 37.0% of the sample. Triglyceride levels of active men with fatty liver were 148.2±77.6mg/dL while inactive men with fatty liver had 173.4±15.6mg/dL. The remaining serum levels were normal. Inactive individuals showed higher values than active. In addition, inactive individuals have 10.68 times higher risk of developing fatty liver compared with active. Conclusion Physical activity improves metabolic parameters such as triglycerides, weight control, HDL, which interfere in the development of fatty liver. Physically active individuals had lower fatty liver prevalence regardless of values of body composition and lipid profile, leading the conclusion that physical activity has a protective role against development of fatty liver.
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Jacobs S, Jäger S, Jansen E, Peter A, Stefan N, Boeing H, Schulze MB, Kröger J. Associations of Erythrocyte Fatty Acids in the De Novo Lipogenesis Pathway with Proxies of Liver Fat Accumulation in the EPIC-Potsdam Study. PLoS One 2015; 10:e0127368. [PMID: 25984792 PMCID: PMC4435749 DOI: 10.1371/journal.pone.0127368] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Accepted: 04/14/2015] [Indexed: 01/22/2023] Open
Abstract
Background Biomarker fatty acids (FAs) reflecting de novo lipogenesis (DNL) are strongly linked to the risk of cardiometabolic diseases. Liver fat accumulation could mediate this relation. There is very limited data from human population-based studies that have examined this relation. Objective The aim of this study was to investigate the relation between specific FAs in the DNL pathway and liver fat accumulation in a large population-based study. Methods We conducted a cross-sectional analysis of a subsample (n = 1,562) of the EPIC-Potsdam study, which involves 27,548 middle-aged men and women. Baseline blood samples have been analyzed for proportions of 32 FAs in erythrocyte membranes (determined by gas chromatography) and biomarker concentrations in plasma. As indicators for DNL, the DNL-index (16:0 / 18:2n-6) and proportions of individual blood FAs in the DNL pathway were used. Plasma parameters associated with liver fat content (fetuin-A, ALT, and GGT) and the algorithm-based fatty liver index (FLI) were used to reflect liver fat accumulation. Results The DNL-index tended to be positively associated with the FLI and was positively associated with GGT activity in men (p for trend: 0.12 and 0.003). Proportions of 14:0 and 16:0 in erythrocytes were positively associated with fetuin-A, whereas 16:1n-7 were positively associated with the FLI and GGT activity (all p for trends in both sexes at least 0.004). Furthermore, the proportion of 16:1n-7 was positively related to fetuin-A in women and ALT activity in men (all p for trend at least 0.03). The proportion of 16:1n-9 showed positive associations with the FLI and GGT activity in men and fetuin-A in both sexes, whereas 18:1n-7 was positively associated with GGT activity in men (all p for trend at least 0.048). Conclusion Findings from this large epidemiological study suggest that liver fat accumulation could link erythrocyte FAs in the DNL pathway to the risk of cardiometabolic diseases.
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Affiliation(s)
- Simone Jacobs
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany
| | - Eugene Jansen
- Center for Health Protection, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Andreas Peter
- German Center for Diabetes Research (DZD), Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease, and Clinical Chemistry, University Hospital of the Eberhard Karls University, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease, and Clinical Chemistry, University Hospital of the Eberhard Karls University, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen (IDM), Tübingen, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany
| | - Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany
- * E-mail:
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Cuthbertson DJ, Weickert MO, Lythgoe D, Sprung VS, Dobson R, Shoajee-Moradie F, Umpleby M, Pfeiffer AFH, Thomas EL, Bell JD, Jones H, Kemp GJ. External validation of the fatty liver index and lipid accumulation product indices, using 1H-magnetic resonance spectroscopy, to identify hepatic steatosis in healthy controls and obese, insulin-resistant individuals. Eur J Endocrinol 2014; 171:561-9. [PMID: 25298375 DOI: 10.1530/eje-14-0112] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Simple clinical algorithms including the fatty liver index (FLI) and lipid accumulation product (LAP) have been developed as surrogate markers for non-alcoholic fatty liver disease (NAFLD), constructed using (semi-quantitative) ultrasonography. This study aimed to validate FLI and LAP as measures of hepatic steatosis, as determined quantitatively by proton magnetic resonance spectroscopy (1H-MRS). METHODS Data were collected from 168 patients with NAFLD and 168 controls who had undergone clinical, biochemical and anthropometric assessment. Values of FLI and LAP were determined and assessed both as predictors of the presence of hepatic steatosis (liver fat>5.5%) and of actual liver fat content, as measured by 1H-MRS. The discriminative ability of FLI and LAP was estimated using the area under the receiver operator characteristic curve (AUROC). As FLI can also be interpreted as a predictive probability of hepatic steatosis, we assessed how well calibrated it was in our cohort. Linear regression with prediction intervals was used to assess the ability of FLI and LAP to predict liver fat content. Further validation was provided in 54 patients with type 2 diabetes mellitus. RESULTS FLI, LAP and alanine transferase discriminated between patients with and without steatosis with an AUROC of 0.79 (IQR=0.74, 0.84), 0.78 (IQR=0.72, 0.83) and 0.83 (IQR=0.79, 0.88) respectively although could not quantitatively predict liver fat. Additionally, the algorithms accurately matched the observed percentages of patients with hepatic steatosis in our cohort. CONCLUSIONS FLI and LAP may be used to identify patients with hepatic steatosis clinically or for research purposes but could not predict liver fat content.
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Affiliation(s)
- Daniel J Cuthbertson
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Pot
| | - Martin O Weickert
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Pot
| | - Daniel Lythgoe
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
| | - Victoria S Sprung
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Pot
| | - Rebecca Dobson
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Pot
| | - Fariba Shoajee-Moradie
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
| | - Margot Umpleby
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
| | - Andreas F H Pfeiffer
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Pot
| | - E Louise Thomas
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
| | - Jimmy D Bell
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
| | - Helen Jones
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
| | - Graham J Kemp
- Department of Obesity and EndocrinologyClinical Sciences Centre, University Hospital Aintree, Liverpool, UKDepartment of Obesity and EndocrinologyInstitute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UKWarwickshire Institute for the Study of DiabetesEndocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UKDivision of Metabolic and Vascular HealthWarwick Medical School, University of Warwick, Warwick, UKCancer Research UK Liverpool Cancer Trials UnitUniversity of Liverpool, Liverpool, UKDepartment of Diabetes and Metabolic MedicineFaculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Clinical NutritionGerman Institute of Human Nutrition, Potsdam-Rehbruecke, GermanyThe Department of EndocrinologyDiabetes and Nutrition, Charité-University-Medicine Berlin, Berlin, GermanyMetabolic and Molecular Imaging GroupImperial College London, MRC Clinical Sciences Centre, London, UKResearch Institute for Sport and Exercise SciencesLiverpool John Moores University, Liverpool, UKDepartment of Musculoskeletal BiologyInstitute of Ageing and Chronic Disease, Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool, UK
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12
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Liang J, Wang Y, Li H, Liu X, Qiu Q, Qi L. Combination of diabetes risk factors and hepatic steatosis in Chinese: the Cardiometabolic Risk in Chinese (CRC) Study. PLoS One 2014; 9:e90101. [PMID: 24595017 PMCID: PMC3940820 DOI: 10.1371/journal.pone.0090101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Accepted: 01/31/2014] [Indexed: 12/20/2022] Open
Abstract
Aims Hepatic steatosis has been related to insulin resistance and increased diabetes risk. We assessed whether combination of diabetes risk factors, evaluated by the Finnish Diabetes Risk Score, was associated with risk of hepatic steatosis in an apparently healthy Chinese population. Research Design and Methods The study samples were from a community-based health examination survey in central China. In total 1,780 men and women (18–64 y) were included in the final analyses. Hepatic steatosis was diagnosed by ultrasonography. We created combination of diabetes risk factors score on basis of age, Body Mass Index, waist circumference, physical activity at least 4 h a week, daily consumption of fruits, berries or vegetables, history of antihypertensive drug treatment, history of high blood glucose. The total risk score is a simple sum of the individual weights, and values range from 0 to 20. Results Hepatic steatosis was present 18% in the total population. In multivariate models, the odds ratios of hepatic steatosis were 1.20 (95%CI 1.15–1.25) in men and 1.25 (95%CI 1.14–1.37) in women by each unit increase in the combination of diabetes risk factors score, after adjustment for blood pressure, liver enzymes, plasma lipids, and fasting glucose. The area under the receiver operating characteristic curve for hepatic steatosis was 0.78 (95%CI 0.76–0.80), 0.76 in men (95%CI 0.74–0.78) and 0.83 (95%CI 0.79–0.87) in women. Conclusions Our data suggest that combination of major diabetes risk factors was significantly related to risk of hepatic steatosis in Chinese adults.
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Affiliation(s)
- Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Affiliated Hospital of Southeast University, Xuzhou, Jiangsu, China
- * E-mail: (LQ); (JL)
| | - Yu Wang
- Xuzhou Medical College, Xuzhou, Jiangsu, China
| | - Hongyan Li
- Xuzhou Medical College, Xuzhou, Jiangsu, China
| | - Xuekui Liu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Affiliated Hospital of Southeast University, Xuzhou, Jiangsu, China
| | - Qinqin Qiu
- Xuzhou Medical College, Xuzhou, Jiangsu, China
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (LQ); (JL)
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Asakawa Y, Takekawa H, Suzuki K, Ishii Y, Ohrui M, Hirata K. Relationship between fatty liver disease and intracranial main artery stenosis. Intern Med 2014; 53:1259-64. [PMID: 24930643 DOI: 10.2169/internalmedicine.53.2067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE The aim of this study was to evaluate the relationship between fatty liver disease (FLD) and cerebrovascular disease. METHODS We conducted a cross-sectional study of 76 consecutive healthy subjects who participated in a two-day hospitalized health checkup program. The maximal intima-media thickness (IMT) of the common carotid artery and bifurcation of the carotid artery as well as the plaque score (PS) were evaluated on carotid artery ultrasonography. Fluid attenuated inversion recovery brain MRI was used to determine the presence of asymptomatic cerebral lesions and periventricular hyperintensity. Brain MR angiography was used to evaluate the degree of intracranial main artery stenosis (ICAS). FLD was diagnosed based on the ultrasonographic pattern. RESULTS The PS and IMT did not differ between the FLD (n=24) and non-FLD (n=52) groups. There was a tendency toward a higher percentage of multiple lacunar lesions in the non-FLD group than in the FLD group. ICAS was significantly more frequent in subjects in the FLD group than those in the non-FLD group (25.0% vs. 5.8%). A logistic regression analysis revealed that age and FLD were significant determinants of ICAS. CONCLUSION Our study findings suggest a significant association between ICAS and FLD.
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Affiliation(s)
- Yohei Asakawa
- Stroke Division, Department of Neurology, Dokkyo Medical University, Japan
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Anbalagan VP, Venkataraman V, Vamsi M, Deepa M, Mohan V. A simple Indian diabetes risk score could help identify nondiabetic individuals at high risk of non-alcoholic fatty liver disease (CURES-117). J Diabetes Sci Technol 2012; 6:1429-35. [PMID: 23294790 PMCID: PMC3570885 DOI: 10.1177/193229681200600624] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE We aim to determine whether a simple Indian diabetes risk score (IDRS) is associated with individuals with non-alcoholic fatty liver disease (NAFLD) among nondiabetic Asian Indians. METHODS Nondiabetic participants (n = 409) were selected from the Chennai Urban Rural Epidemiology Study. Mean age was 40 ± 11.9 years, mean body mass index was 23.2 ± 3.9 kg/m(2), and 224 (54.8%) were women. The IDRS was classified as high (≥60), medium (30-50), and low (<30) risk. Non-alcoholic fatty liver disease was assessed by high-resolution β mode ultrasonography. To determine the factors associated with NAFLD, a univariate analysis was first done and a stepwise logistic regression analysis was done based on the factors associated with NAFLD. Biochemical and anthropometric measurements were obtained using standardized procedures. RESULTS The overall prevalence of NAFLD was 24.7% (101/409 participants), and it was significantly higher among those with a high (30.4%) and medium IDRS (21%) compared with the low IDRS group (15.8%; trend chi square; p = .022). In stepwise logistic regression, IDRS was associated with NAFLD with an adjusted odds ratio of 1.78 (95% confidence interval 1.04-3.06), even after adjusting for potential confounders. CONCLUSIONS The IDRS can be used as the initial step to screen individuals at high risk of NAFLD in the community.
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Affiliation(s)
- Viknesh Prabu Anbalagan
- Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, International Diabetes Federation Centre for Education, Gopalapuram, Chennai, India
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15
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Santos RD, Agewall S. Non-alcoholic fatty liver disease and cardiovascular disease. Atherosclerosis 2012; 224:324-5. [PMID: 22840429 DOI: 10.1016/j.atherosclerosis.2012.07.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2012] [Accepted: 07/12/2012] [Indexed: 12/12/2022]
Affiliation(s)
- Raul D Santos
- Department of Cardiology, Lipid Clinic Heart Institute, InCor, University of Sao Paulo, Brazil.
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Nonalcoholic fatty liver disease: multimodal treatment options for a pathogenetically multiple-hit disease. J Clin Gastroenterol 2012; 46:272-84. [PMID: 22395062 DOI: 10.1097/mcg.0b013e31824587e0] [Citation(s) in RCA: 112] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) has emerged as a significant public health problem. Besides the liver, NAFLD is also associated with increased cardiovascular and overall morbidity and mortality. NAFLD warrants intensive research, because no treatment has been established as yet. This may be partly attributed to the fact that the majority of the relative clinical trials have a monotherapeutic direction. However, the multifactorial pathogenesis of NAFLD may probably direct clinical trials to a combined therapeutic approach. The aim of this review is to provide a description of the multifactorial pathogenesis of NAFLD and type II diabetes mellitus-NAFLD interplay, and to summarize the therapeutic trials focusing on the combined NAFLD treatment, providing a link between the multiple-hit pathogenesis and the multimodal treatment of NAFLD patients. A diabetes-like therapeutic approach for NAFLD is finally proposed.
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