CARDIOMETABOLIC RISK PREDICTION IN PATIENTS WITH NON-ALCOHOLIC FATTY LIVER DISEASE COMBINED WITH SUBCLINICAL HYPOTHYROIDISM
Olena Kolesnikova
kolesnikova1973@gmail.comGovernment Institution "L. T. Malaya Therapy Institute of the National Academy of Medical Science of Ukraine", Kharkiv, Ukraine (Ukraine)
http://orcid.org/0000-0001-5606-6621
Olena Vysotska
National Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine (Ukraine)
http://orcid.org/0000-0003-3723-9771
Anna Potapenko
Government Institution "L. T. Malaya Therapy Institute of the National Academy of Medical Science of Ukraine", Kharkiv, Ukraine (Ukraine)
http://orcid.org/0000-0002-1658-0156
Anastasia Radchenko
Government Institution "L. T. Malaya Therapy Institute of the National Academy of Medical Science of Ukraine", Kharkiv, Ukraine (Ukraine)
http://orcid.org/0000-0002-9687-8218
Anna Trunova
National Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine (Ukraine)
http://orcid.org/0000-0001-7069-0674
Natalia Virstyuk
Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine (Ukraine)
http://orcid.org/0000-0002-5794-8754
Liudmyla Vasylevska-Skupa
Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine (Ukraine)
http://orcid.org/0000-0002-1989-7175
Aliya Kalizhanova
Institute of Information and Computational Technologies, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0002-5979-9756
Nazerka Mukanova
Gymnasium No. 159 named after Y. Altynsarin, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0009-0002-7945-7187
Abstract
One of the most common diseases of our time is non-alcoholic fatty liver disease (NAFLD). Recently published research results indicate that patients with NAFLD along with traditional risk factors for cardiovascular diseases (CVD) have "new" risk factors such as endothelial dysfunction (ED), carotid intima-media thickness (CIMT), an increase in the CRP level, as well as risk factors combined into the Framingham scale. It is also known that combination of NAFLD with subclinical hypothyroidism (SH) forms an abnormal metabolic phenotype, which is associated with cardiometabolic risk factors. The study of cardiometabolic predictors and vascular markers in patients with NAFLD in combination with SH will provide an opportunity to improve the strategy of cardiovascular events prevention in such comorbid patients.
Keywords:
cardiometabolic risk, non-alcoholic fatty liver disease, subclinical hypothyroidism, prediction, binary regression logistic analysis, validation of prognostic modelsReferences
Bano A., Chaker L., Plompen E. P. C., et al.: Thyroid Function and the Risk of Nonalcoholic Fatty Liver Disease: The Rotterdam Study. J Clin Endocrinol Metab. 101(8), 2016, 3204–3211.
DOI: https://doi.org/10.1210/jc.2016-1300
Google Scholar
Belyalov F. I.: Prognozirovaniye i shkaly v kardiologii 2ye-izd. MEDPRESS-inform, Moscow 2018.
Google Scholar
Belialov F. I.: Risk prediction scores of diseases. Complex Issues of Cardiovascular Diseases 7(1), 2018, 84–93 [http://doi.org/10.17802/2306-1278-2018-7-1-84-93].
DOI: https://doi.org/10.17802/2306-1278-2018-7-1-84-93
Google Scholar
Georgiyants M., Khvysyuk O., Boguslavskaуa N. et al.: Development of a mathematical model for predicting postoperative pain among patients with limb injuries. Eastern-European Journal of Enterprise Technologies 2, N4(86), 2017, 4–9 [http://doi.org/10.15587/1729-4061.2017.95157].
DOI: https://doi.org/10.15587/1729-4061.2017.95157
Google Scholar
Graham I., Atar D., Borch-Johnsen K. et al.: European guidelines on cardiovascular disease prevention in clinical practice: full text. Eur. J. Cardiovasc. Prev. Rehabil. 14, 2007, S1–S113.
Google Scholar
Kojuri J., Boostani R., Dehghani P., Nowroozipour F., Saki N.: Prediction of acute myocardial infarction with artificial neural networks in patients with nondiagnostic electrocardiogram. Journal of Cardiovascular Disease Research. 6(2), 2015, 51–60.
DOI: https://doi.org/10.5530/jcdr.2015.2.2
Google Scholar
Kolesnikova E. V.: Sovremennyy patsiyent s zabolevaniyem pechenii patologiyey serdechno-sosudistoy sistemy: kakoy vybor sdelat? Contemporary gastroenterology 2(76), 2014, 85–94.
Google Scholar
Kolesnikova O. V., Nemtsova V. D.: Effect of preventive measures for major metabolic parameters in patients with non-alcoholic fatty liver disease and cardiovascular risk. The ESC Textbook of Preventive Cardiology. Comprehensive, practical, and the official textbook of the European Association for Cardiovascular Prevention and Rehabilitation. Oxford University press, 2015.
Google Scholar
Koval S. M., Snihurska I. O., Vysotska O. et al.: Prognosis of essential hypertension progression in patients with abdominal obesity. Wójcik W., Pavlov S., Kalimoldayev, M. (Eds.): Information Technology in Medical Diagnostics II. Taylor & Francis Group, CRC Press, Balkema book, London 2019.
DOI: https://doi.org/10.1201/9780429057618-32
Google Scholar
Krak I. V., Kryvonos I. G., Kulias A. I.: Applied aspects of the synthesis and analysis of voice information. Cybernetics and Systems Analysis 49(4), 2013, 589–596.
DOI: https://doi.org/10.1007/s10559-013-9545-9
Google Scholar
Krak I., Kondratiuk S.: Cross-platform software for the development of sign communication system: Dactyl language modelling. 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies – CSIT, 2017, 1,8098760, 167–170
DOI: https://doi.org/10.1109/STC-CSIT.2017.8098760
Google Scholar
Ludwig U., Holzner D., Denzer C. et al.: Subclinical and clinical hypothyroidism and non-alcoholic fatty liver disease: a cross-sectional study of a random population sample aged 18 to 65 years. BMC Endocr Disord. 15. 2015, 41.
DOI: https://doi.org/10.1186/s12902-015-0030-5
Google Scholar
Ross D. S., Burch G. B, Cooper D. S. et al.: American Thyroid Association Guidelines for Diagnosis and Management of Hyperthyroidism and other causes of Thyrotoxicosis. Thyroid 26(10), 2016, 1343–1421.
DOI: https://doi.org/10.1089/thy.2016.0229
Google Scholar
Sinn D. H., Cho S. J., Gu S. et al.: Persistent Nonalcoholic Fatty Liver Disease Increases Risk for Carotid Atherosclerosis. Gastroenterology 151(3), 2016, 481–488.
DOI: https://doi.org/10.1053/j.gastro.2016.06.001
Google Scholar
Strashnenko A. N., Vysotskaya E. V., Demin Y. A. et al.: A method for prognosis of primary open-angle glaucoma. International Review on Computers and Software 8, 2013, 1943–1949.
Google Scholar
Weiwei He, Xiaofei An, Ling Li et al.: Relationship between Hypothyroidism and Non-Alcoholic Fatty Liver Disease: A Systematic Review and Meta-analysis. Front Endocrinol (Lausanne) 8, 2017, 335.
DOI: https://doi.org/10.3389/fendo.2017.00335
Google Scholar
Weng S. F., Reps J., Kai J., Garibaldi J. M., Qureshi N.: Can machinelearning improve cardiovascular risk prediction using routine clinical data? PLOS ONE 12(4), 2017, e0174944 [http://doi.org/10.1371/journal.pone.0174944].
DOI: https://doi.org/10.1371/journal.pone.0174944
Google Scholar
Authors
Olena Kolesnikovakolesnikova1973@gmail.com
Government Institution "L. T. Malaya Therapy Institute of the National Academy of Medical Science of Ukraine", Kharkiv, Ukraine Ukraine
http://orcid.org/0000-0001-5606-6621
Authors
Olena VysotskaNational Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine Ukraine
http://orcid.org/0000-0003-3723-9771
Authors
Anna PotapenkoGovernment Institution "L. T. Malaya Therapy Institute of the National Academy of Medical Science of Ukraine", Kharkiv, Ukraine Ukraine
http://orcid.org/0000-0002-1658-0156
Authors
Anastasia RadchenkoGovernment Institution "L. T. Malaya Therapy Institute of the National Academy of Medical Science of Ukraine", Kharkiv, Ukraine Ukraine
http://orcid.org/0000-0002-9687-8218
Authors
Anna TrunovaNational Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine Ukraine
http://orcid.org/0000-0001-7069-0674
Authors
Natalia VirstyukIvano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine Ukraine
http://orcid.org/0000-0002-5794-8754
Authors
Liudmyla Vasylevska-SkupaIvano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine Ukraine
http://orcid.org/0000-0002-1989-7175
Authors
Aliya KalizhanovaInstitute of Information and Computational Technologies, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0002-5979-9756
Authors
Nazerka MukanovaGymnasium No. 159 named after Y. Altynsarin, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0009-0002-7945-7187
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