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Chlabicz M, Jamiołkowski J, Dubatówka M, Sołomacha S, Chlabicz M, Zieleniewska N, Sowa P, Szpakowicz A, Moniuszko-Malinowska AM, Flisiak R, Moniuszko M, Kamiński KA. Cardiovascular risk and the COVID-19 pandemic: a population-based and case‒control studies. Popul Health Metr 2024; 22:18. [PMID: 39030517 PMCID: PMC11264470 DOI: 10.1186/s12963-024-00338-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 07/14/2024] [Indexed: 07/21/2024] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic is associated with increases in morbidity and mortality worldwide. The mechanisms of how SARS-CoV-2 may cause cardiovascular (CV) complications are under investigation. The aim of the study was to assess the impact of the COVID-19 pandemic on CV risk. METHODS These are single-centre Bialystok PLUS (Poland) population-based and case‒control studies. The survey was conducted between 2018 and 2022 on a sample of residents (n = 1507) of a large city in central Europe and patients 6-9 months post-COVID-19 infection (n = 126). The Systematic Coronary Risk Estimation 2 (SCORE2), the Systematic Coronary Risk Estimation 2-Older Persons (SCORE2-OP), the Cardiovascular Disease Framingham Heart Study and the LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people (LIFE-CVD) were used. Subsequently, the study populations were divided into CV risk classes according to the 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. RESULTS The study population consisted of 4 groups: a general population examined before (I, n = 691) and during the COVID-19 pandemic (II, n = 816); a group of 126 patients post-COVID-19 infection (III); and a control group matched subjects chosen from the pre-COVID-19 pandemic (IV). Group II was characterized by lower blood pressure, low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) values than group I. Group III differed from the control group in terms of lower LDL-c level. There was no effect on CV risk in the general population, but in the population post-COVID-19 infection, CV risk was lower using FS-lipids, FS-BMI and LIFE-CVD 10-year risk scores compared to the prepandemic population. In all subgroups analysed, no statistically significant difference was found in the frequency of CV risk classes. CONCLUSIONS The COVID-19 pandemic did not increase the CV risk calculated for primary prevention. Instead, it prompted people to pay attention to their health status, as evidenced by better control of some CV risk factors. As the COVID-19 pandemic has drawn people's attention to health, it is worth exploiting this opportunity to improve public health knowledge through the design of wide-ranging information campaigns.
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Affiliation(s)
- Małgorzata Chlabicz
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland
- Department of Invasive Cardiology, Medical University of Bialystok, Bialystok, Poland
| | - Jacek Jamiołkowski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland
| | - Marlena Dubatówka
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland
| | - Sebastian Sołomacha
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland
| | - Magdalena Chlabicz
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland
| | | | - Paweł Sowa
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland
| | - Anna Szpakowicz
- Department of Cardiology, Medical University of Bialystok, Bialystok, Poland
| | | | - Robert Flisiak
- Department of Infectious Diseases and Hepatology, Medical University of Bialystok, Bialystok, Poland
| | - Marcin Moniuszko
- Department of Allergology, Medical University of Bialystok, Bialystok, Poland
| | - Karol A Kamiński
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, ul. Waszyngtona 15B, Bialystok, 15-269, Poland.
- Department of Cardiology, Medical University of Bialystok, Bialystok, Poland.
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Tristão Parra M, Sada I, Gold R, Vella CA, Price C, Miljkovic I, Eastman A, Allison M. Associations between muscle quality and N-terminal pro-B-type natriuretic peptide (NT-proBNP): The multi-ethnic study of atherosclerosis. Am J Med Sci 2024; 367:160-170. [PMID: 38029852 DOI: 10.1016/j.amjms.2023.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 11/24/2023] [Indexed: 12/01/2023]
Abstract
INTRODUCTION N-terminal pro-B-type natriuretic peptide (NT-proBNP) is widely used in clinical settings to identify cardiac stress, diagnose, and manage heart failure (HF). We explored the associations between NT-proBNP and both muscle area and density. METHODS A cross-sectional analysis including 1,489 participants from the MESA. Plasma NT-proBNP concentrations and inflammatory biomarkers and health history questionnaires were analyzed. Computed tomography quantified abdominal body composition. Separate multivariable linear regression models were used to assess the associations between both muscle (MA) area and density (MD) and NT-proBNP. RESULTS In models adjusted for sociodemographic characteristics, risk factors for cardiovascular disease, anthropometric variables, and subcutaneous and visceral adiposity, NT-proBNP was inversely associated with total abdominal and psoas MAs. Adjustment for inflammatory markers and MD attenuated these associations to the null. Stabilization MA and NT-proBNP were not significantly associated. Analyses per quartiles of MA confirmed lack of a consistent association between stabilization and total abdominal MAs and NT-proBNP. While the third and fourth quartiles of psoas MA were inversely associated with NT-proBNP, adding inflammation biomarkers and MD to the model attenuated the association to the null. Conversely, after full adjustment, NT-proBNP was inversely and significantly associated with total abdominal, stabilization and psoas MDs. For psoas MD, but not the other muscle density variables, the addition of MA to the model attenuated the association to the null. The quartiles of MD were consistently inversely associated with NT-proBNP, where higher MDs showed larger estimates of the association compared to the lowest quartiles, for all muscle groups investigated. CONCLUSION Muscle density is inversely associated with NT-proBNP, while muscle area is not after adjustment for inflammation and muscle density.
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Affiliation(s)
- Maíra Tristão Parra
- Hebert Wertheim School of Public Health and Longevity Science, University of California, San Diego, La Jolla, California, USA.
| | - Isaac Sada
- School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Rebecca Gold
- University of Washington, Seattle, Washington, USA
| | - Chantal A Vella
- Department of Movement Sciences, University of Idaho, Moscow, Idaho, USA
| | - Candice Price
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Iva Miljkovic
- School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Amelia Eastman
- School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Matthew Allison
- School of Medicine, University of California, San Diego, La Jolla, California, USA.
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3
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Łapińska L, Krentowska A, Kondraciuk M, Chlabicz M, Waszkiewicz N, Kamiński K, Kowalska I. The association between plasma N-terminal pro-brain natriuretic peptide concentration and metabolic disturbances in women with depressive symptoms. Psychoneuroendocrinology 2023; 158:106409. [PMID: 37801752 DOI: 10.1016/j.psyneuen.2023.106409] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/25/2023] [Accepted: 09/29/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND The relationship between brain natriuretic peptides and depression was studied in patients with cardiovascular diseases (CVD), but the data in people without CVD are limited. Metabolic disturbances can be associated with natriuretic peptides' levels. The study aimed to assess serum N-terminal pro-brain natriuretic peptide (NT-proBNP) level in women with depressive symptoms and its relationship with metabolic disturbances. METHODS The analysis included 347 women (20-60 years old) from Bialystok PLUS cohort study: 98 with depressive symptoms and 249 controls. Clinical examination, oral glucose tolerance test (OGTT) and assessment of lipid, sex hormone binding globulin (SHBG) and NT-proBNP concentrations in the blood were performed. The participants completed Beck Depression Inventory questionnaire. RESULTS Metabolic syndrome was more frequent in the group of women with depressive symptoms compared to women without depressive symptoms. Women with depressive symptoms had lower NT-proBNP level than the control group - 45.88 (27.80-67.04) vs 56.49 (32.42-94.25) pg/mL, p = 0.027. Multiple linear regression analysis of all women showed that NT-proBNP level was reversely associated with the presence of depressive symptoms, waist circumference and heart rate and positively connected with age. In the group of women with depressive symptoms, we observed negative correlations between NT-proBNP level and insulin concentration at 60 min of OGTT, diastolic blood pressure and a positive correlation with SHBG. CONCLUSIONS NT-proBNP level is decreased in women with depressive symptoms, which might be connected with metabolic disturbances in this group.
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Affiliation(s)
- Lidia Łapińska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Bialystok, Bialystok, Poland.
| | - Anna Krentowska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Bialystok, Bialystok, Poland
| | - Marcin Kondraciuk
- Population Research Center, Medical University of Bialystok, Bialystok, Poland
| | - Małgorzata Chlabicz
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | | | - Karol Kamiński
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Irina Kowalska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Bialystok, Bialystok, Poland
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4
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Völzke H, Schössow J, Schmidt CO, Jürgens C, Richter A, Werner A, Werner N, Radke D, Teumer A, Ittermann T, Schauer B, Henck V, Friedrich N, Hannemann A, Winter T, Nauck M, Dörr M, Bahls M, Felix SB, Stubbe B, Ewert R, Frost F, Lerch MM, Grabe HJ, Bülow R, Otto M, Hosten N, Rathmann W, Schminke U, Großjohann R, Tost F, Homuth G, Völker U, Weiss S, Holtfreter S, Bröker BM, Zimmermann K, Kaderali L, Winnefeld M, Kristof B, Berger K, Samietz S, Schwahn C, Holtfreter B, Biffar R, Kindler S, Wittfeld K, Hoffmann W, Kocher T. Cohort Profile Update: The Study of Health in Pomerania (SHIP). Int J Epidemiol 2022; 51:e372-e383. [PMID: 35348705 DOI: 10.1093/ije/dyac034] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 02/25/2022] [Indexed: 12/16/2022] Open
Affiliation(s)
- Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Janka Schössow
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Clemens Jürgens
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Adrian Richter
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - André Werner
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Nicole Werner
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Dörte Radke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Birgit Schauer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Vivien Henck
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anke Hannemann
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Theresa Winter
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Nauck
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Martin Bahls
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Stephan B Felix
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Beate Stubbe
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Ralf Ewert
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Fabian Frost
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Clinic of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases, Site Rostock/Greifswald, Greifswald, Greifswald, Germany
| | - Robin Bülow
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Markus Otto
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Wolfgang Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Greifswald, Germany
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Rico Großjohann
- Clinic of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
| | - Frank Tost
- Clinic of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Weiss
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Silva Holtfreter
- Department of Immunology, University Medicine Greifswald, Greifswald, Germany
| | - Barbara M Bröker
- Department of Immunology, University Medicine Greifswald, Greifswald, Germany
| | - Kathrin Zimmermann
- Friedrich Loeffler Institute for Medical Microbiology, University Medicine Greifswald, Greifswald, Germany
| | - Lars Kaderali
- Institute for Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | | | | | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Munster, Munster, Germany
| | - Stefanie Samietz
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Christian Schwahn
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Birte Holtfreter
- Department of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, Greifswald, Germany
| | - Reiner Biffar
- Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Kindler
- Department of Oral and Maxillofacial Surgery/Plastic Surgery, University Medicine Greifswald, Greifswald, Germany
| | - Katharina Wittfeld
- Clinic of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases, Site Rostock/Greifswald, Greifswald, Greifswald, Germany
| | - Wolfgang Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases, Site Rostock/Greifswald, Greifswald, Greifswald, Germany
| | - Thomas Kocher
- Department of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, Greifswald, Germany
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Yu Y, Huang H, Cheng S, Deng Y, Liu X, Gu M, Chen X, Niu H, Cai C, Hua W. Independent and joint association of N-terminal pro-B-type natriuretic peptide and left ventricular mass index with heart failure risk in elderly diabetic patients with right ventricular pacing. Front Cardiovasc Med 2022; 9:941709. [PMID: 35935657 PMCID: PMC9354452 DOI: 10.3389/fcvm.2022.941709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundElevated levels of N-terminal pro-B natriuretic peptide (NT-proBNP) and left ventricular hypertrophy (LVH) are independent risk factors for heart failure (HF). In addition, right ventricular pacing (RVP) is an effective treatment strategy for bradyarrhythmia, but long-term RVP is associated with HF. However, there is limited evidence on the independent and combined association of NT-proBNP and left ventricular mass index (LVMI) with HF risk in elderly diabetic patients with long-term RVP.MethodsBetween January 2017 and January 2018, a total of 224 elderly diabetic patients with RVP at Fuwai Hospital were consecutively included in the study, with a 5-year follow-up period. The study endpoint was the first HF readmission during follow-up. This study aimed to explore the independent and joint relationship of NT-proBNP and LVMI with HF readmission in elderly diabetic patients with long-term RVP, using a multivariate Cox proportional hazards regression model.ResultsA total of 224 (11.56%) elderly diabetic patients with RVP were included in the study. During the 5-year follow-up period, a total of 46 (20.54%) patients suffered HF readmission events. Multivariate Cox proportional hazards regression analysis showed that higher levels of NT-proBNP and LVMI were independent risk factors for HF readmission [NT-proBNP: hazard risk (HR) = 1.05, 95% confidence interval (CI): 1.01–1.10; LVMI: HR = 1.14, 95% CI: 1.02–1.27]. The optimal cut-off point of NT-proBNP was determined to be 330 pg/ml by receiver operating characteristic (ROC) curve analysis. Patients with NT-proBNP > 330 pg/ml and LVH had a higher risk of HF readmission compared to those with NT-proBNP ≤ 330 pg/ml and non-LVH (39.02% vs. 6.17%; HR = 7.72, 95% CI: 1.34–9.31, P < 0.001).ConclusionIn elderly diabetic patients with long-term RVP, NT-proBNP and LVMI were associated with the risk of HF readmission. Elevated NT-proBNP combined with LVH resulted in a significantly higher risk of HF readmission.
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Lau ES, Binek A, Parker SJ, Shah SH, Zanni MV, Van Eyk JE, Ho JE. Sexual Dimorphism in Cardiovascular Biomarkers: Clinical and Research Implications. Circ Res 2022; 130:578-592. [PMID: 35175850 PMCID: PMC8883873 DOI: 10.1161/circresaha.121.319916] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Sex-based differences in cardiovascular disease presentation, diagnosis, and response to therapies are well established, but mechanistic understanding and translation to clinical applications are limited. Blood-based biomarkers have become an important tool for interrogating biologic pathways. Understanding sexual dimorphism in the relationship between biomarkers and cardiovascular disease will enhance our insights into cardiovascular disease pathogenesis in women, with potential to translate to improved individualized care for men and women with or at risk for cardiovascular disease. In this review, we examine how biologic sex associates with differential levels of blood-based biomarkers and influences the effect of biomarkers on disease outcomes. We further summarize key differences in blood-based cardiovascular biomarkers along central biologic pathways, including myocardial stretch/injury, inflammation, adipose tissue metabolism, and fibrosis pathways in men versus women. Finally, we present recommendations for leveraging our current knowledge of sex differences in blood-based biomarkers for future research and clinical innovation.
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Affiliation(s)
- Emily S. Lau
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Aleksandra Binek
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Sarah J. Parker
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Svati H. Shah
- Division of Cardiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Markella V. Zanni
- Metabolism Unit, Division of Endocrinology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jennifer E Van Eyk
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jennifer E. Ho
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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Subjective well-being in non-obese individuals depends strongly on body composition. Sci Rep 2021; 11:21797. [PMID: 34750456 PMCID: PMC8576020 DOI: 10.1038/s41598-021-01205-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 10/25/2021] [Indexed: 01/07/2023] Open
Abstract
While obesity has been correlated with welfare in the general population, there is not much data on the influence of body composition on welfare among the non-obese adult individuals. In this study, a total of 726 non-obese individuals from the general population were analyzed. The mean age was 46.8 ± 15.4 years and 42.1% of participants were male. The anthropometric measurements and dual energy X-ray absorptiometry (DEXA) were done. The mean value for the Satisfaction with Life Scale (SWLS) was 23.09 ± 5.43, for Euro Quality of Life Visual Analogue Scale (EQ-VAS) was 78.0 ± 14.5, and for the Beck Depression Inventory (BDI) was 6.7 ± 6.6. On the SWLS, the higher waist-hip ratio had a negative impact even after adjusting for age, gender, and concomitant diseases. EQ-VAS was inversely associated with android fat distribution and directly associated with muscle mass. BDI value was inversely associated with lower muscle mass, especially in lower limbs. The well-being of women was mainly associated with the distribution of adipose tissue and less with the distribution of muscle tissue-abdominal fat distribution has a particularly negative impact on well-being among women. In contrast, men's well-being depends more on muscle mass and to a lesser extent on the distribution of fat tissue-a positive significant effect has lean mass and a circumference of thigh below gluteal fold.
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8
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Sawicka-Smiarowska E, Bondarczuk K, Bauer W, Niemira M, Szalkowska A, Raczkowska J, Kwasniewski M, Tarasiuk E, Dubatowka M, Lapinska M, Szpakowicz M, Stachurska Z, Szpakowicz A, Sowa P, Raczkowski A, Kondraciuk M, Gierej M, Motyka J, Jamiolkowski J, Bondarczuk M, Chlabicz M, Bucko J, Kozuch M, Dobrzycki S, Bychowski J, Musial WJ, Godlewski A, Ciborowski M, Gyenesei A, Kretowski A, Kaminski KA. Gut Microbiome in Chronic Coronary Syndrome Patients. J Clin Med 2021; 10:jcm10215074. [PMID: 34768594 PMCID: PMC8584954 DOI: 10.3390/jcm10215074] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 02/07/2023] Open
Abstract
Despite knowledge of classical coronary artery disease (CAD) risk factors, the morbidity and mortality associated with this disease remain high. Therefore, new factors that may affect the development of CAD, such as the gut microbiome, are extensively investigated. This study aimed to evaluate gut microbiome composition in CAD patients in relation to the control group. We examined 169 CAD patients and 166 people in the control group, without CAD, matched in terms of age and sex to the study group. Both populations underwent a detailed health assessment. The microbiome analysis was based on the V3-V4 region of the 16S rRNA gene (NGS method). Among 4074 identified taxonomic units in the whole population, 1070 differed between study groups. The most common bacterial types were Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria. Furthermore, a higher Firmicutes/Bacteroidetes ratio in the CAD group compared with the control was demonstrated. Firmicutes/Bacteroidetes ratio, independent of age, sex, CAD status, LDL cholesterol concentration, and statins treatment, was related to altered phosphatidylcholine concentrations obtained in targeted metabolomics. Altered alpha-biodiversity (Kruskal-Wallis test, p = 0.001) and beta-biodiversity (Bray-Curtis metric, p < 0.001) in the CAD group were observed. Moreover, a predicted functional analysis revealed some taxonomic units, metabolic pathways, and proteins that might be characteristic of the CAD patients' microbiome, such as increased expressions of 6-phospho-β-glucosidase and protein-N(pi)-phosphohistidine-sugar phosphotransferase and decreased expressions of DNA topoisomerase, oxaloacetate decarboxylase, and 6-beta-glucosidase. In summary, CAD is associated with altered gut microbiome composition and function.
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Affiliation(s)
- Emilia Sawicka-Smiarowska
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
- Department of Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.T.); (A.S.); (W.J.M.)
| | - Kinga Bondarczuk
- Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, 15-269 Bialystok, Poland; (K.B.); (M.K.); (M.B.)
| | - Witold Bauer
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Magdalena Niemira
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Anna Szalkowska
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Justyna Raczkowska
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Miroslaw Kwasniewski
- Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, 15-269 Bialystok, Poland; (K.B.); (M.K.); (M.B.)
| | - Ewa Tarasiuk
- Department of Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.T.); (A.S.); (W.J.M.)
| | - Marlena Dubatowka
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Magda Lapinska
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Malgorzata Szpakowicz
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Zofia Stachurska
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Anna Szpakowicz
- Department of Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.T.); (A.S.); (W.J.M.)
| | - Pawel Sowa
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Andrzej Raczkowski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Marcin Kondraciuk
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Magdalena Gierej
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Joanna Motyka
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Jacek Jamiolkowski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
| | - Mateusz Bondarczuk
- Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, 15-269 Bialystok, Poland; (K.B.); (M.K.); (M.B.)
| | - Malgorzata Chlabicz
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
- Department of Invasive Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.K.); (S.D.)
| | - Jolanta Bucko
- Department of Cardiology, Bialystok Regional Hospital, 15-950 Bialystok, Poland; (J.B.); (J.B.)
| | - Marcin Kozuch
- Department of Invasive Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.K.); (S.D.)
| | - Slawomir Dobrzycki
- Department of Invasive Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.K.); (S.D.)
| | - Jerzy Bychowski
- Department of Cardiology, Bialystok Regional Hospital, 15-950 Bialystok, Poland; (J.B.); (J.B.)
| | - Wlodzimierz Jerzy Musial
- Department of Cardiology, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.T.); (A.S.); (W.J.M.)
| | - Adrian Godlewski
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Michal Ciborowski
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Attila Gyenesei
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, 15-269 Bialystok, Poland; (W.B.); (M.N.); (A.S.); (J.R.); (A.G.); (M.C.); (A.G.); (A.K.)
| | - Karol Adam Kaminski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (E.S.-S.); (M.D.); (M.L.); (M.S.); (Z.S.); (P.S.); (A.R.); (M.K.); (M.G.); (J.M.); (J.J.); (M.C.)
- Correspondence: ; Tel.: +48-85-8318-656
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9
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Atrial Fibrillation and Chronic Kidney Disease-A Risky Combination for Post-Contrast Acute Kidney Injury. J Clin Med 2021; 10:jcm10184140. [PMID: 34575257 PMCID: PMC8471797 DOI: 10.3390/jcm10184140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 09/05/2021] [Accepted: 09/10/2021] [Indexed: 12/30/2022] Open
Abstract
Atrial fibrillation (AF) symptoms may mimic coronary artery disease (CAD) which reflects the difficulties in qualifying AF patients for invasive diagnostics. A substantial number of coronary angiographies may be unnecessary or even put patients at risk of post-contrast acute kidney injury (PC-AKI), especially patients with chronic kidney disease (CKD). We aimed to investigate the hypothesis indicating higher prevalence of PC-AKI in patients with AF scheduled for coronary angiography. The study population comprised of 8026 patients referred for elective coronarography including 1621 with AF. In the comparison of prevalence of PC-AKI in distinguished groups we can see that kidney impairment was twice more frequent in patients with AF in both groups with CKD (CKD (+)/AF (+) 6.24% vs. CKD (+)/AF (−) 3.04%) and without CKD (CKD (−)/AF (+) 2.32% vs. CKD (−)/AF (−) 1.22%). In our study, post-contrast acute kidney disease is twice more frequent in patients with AF, especially in subgroup with chronic kidney disease scheduled for coronary angiography. Additionally, having in mind results of previous studies stating that AF is associated with non-obstructive coronary lesions on angiography, patients with AF and CKD may be unnecessarily exposed to contrast agent and possible complications.
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Kuźma Ł, Wańha W, Kralisz P, Kazmierski M, Bachórzewska-Gajewska H, Wojakowski W, Dobrzycki S. Impact of short-term air pollution exposure on acute coronary syndrome in two cohorts of industrial and non-industrial areas: A time series regression with 6,000,000 person-years of follow-up (ACS - Air Pollution Study). ENVIRONMENTAL RESEARCH 2021; 197:111154. [PMID: 33872649 DOI: 10.1016/j.envres.2021.111154] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 04/01/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND There is a lack of studies directly comparing the effect of air pollution on acute coronary syndrome (ACS) occurrence in industrial and non-industrial areas. OBJECTIVES A comparison of association of air pollution exposure with ACS in two cohorts of industrially different areas. MATERIALS AND METHODS The study covered 6,000,000 person-years of follow-up and five pollutants between 2008 and 2017. A time series regression analysis with 7-lag was used to assess the effects air pollution on ACS. RESULTS A total of 9046 patients with ACS were included in the analysis, of whom 3895 (43.06%) had ST-elevation myocardial infarction (STEMI) - 45.39% from non-industrial area, and 42.37% from industrial area; and 5151 (56.94%) had non-ST-elevation myocardial infarction (NSTEMI) - 54.61% from non-industrial area and 57.63% from industrial area. The daily concentrations of PM2.5, PM10, NO2, SO2, CO were higher in industrial than in non-industrial area (P < 0.001). In non-industrial area, an increase of 10 μg/m3 of NO2 concentration (Odds Ratio (OR) = 1.126, 95%CI = 1.009-1.257; P = 0.034, lag-0) and an increase of 1 mg/m3 in CO concentration (RR = 1.055, 95%CI = 1.010-1.103; P = 0.017, lag-0) were associated with an increase in the number of hospitalization due to NSTEMI (for industrial area increase of 10 μg/m3 in NO2 (OR = 1.062, 95%CI = 1.020-1.094; P = 0.005, lag-0), SO2 (OR = 1.061, 95%CI = 1.010-1.116; P = 0.018, lag-4), PM10 (OR = 1.010, 95%CI = 1.001-1.030; P = 0.047, lag-6). In STEMI patients in industrial area, an increased hospitalization was found to be associated with an increase of 10 μg/m3 in SO2 (OR = 1.094, 95%CI = 1.030-1.162; P = 0.002, lag-1), PM2.5 (OR = 1.041, 95%CI = 1.020-1.073; P < 0.001, lag-1), PM10 (OR = 1.030, 95%CI = 1.010-1.051; P < 0.001, lag-1). No effects of air pollution on the number of hospitalization due to STEMI were noted from non-industrial area. CONCLUSION The risk of air pollution-related ACS was higher in industrial over non-industrial area. The effect of NO2 on the incidence of NSTEMI was observed in both areas. In industrial area, the effect of PMs and SO2 on NSTEMI and STEMI were also observed. A clinical effect was more delayed in time in patients with NSTEMI, especially after exposure to PM10. Chronic exposure to air pollution may underlie the differences in the short-term effect between particulate air pollution impact on the incidence of STEMI.
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Affiliation(s)
- Łukasz Kuźma
- Department of Invasive Cardiology, Medical University of Bialystok, 24A M. Skłodowskiej-Curie St., 15-276, Białystok, Poland.
| | - Wojciech Wańha
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, 45/47 Ziolowa St., 40-635, Katowice, Poland
| | - Paweł Kralisz
- Department of Invasive Cardiology, Medical University of Bialystok, 24A M. Skłodowskiej-Curie St., 15-276, Białystok, Poland
| | - Maciej Kazmierski
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, 45/47 Ziolowa St., 40-635, Katowice, Poland
| | - Hanna Bachórzewska-Gajewska
- Department of Invasive Cardiology, Medical University of Bialystok, 24A M. Skłodowskiej-Curie St., 15-276, Białystok, Poland
| | - Wojciech Wojakowski
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, 45/47 Ziolowa St., 40-635, Katowice, Poland
| | - Sławomir Dobrzycki
- Department of Invasive Cardiology, Medical University of Bialystok, 24A M. Skłodowskiej-Curie St., 15-276, Białystok, Poland
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11
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A Similar Lifetime CV Risk and a Similar Cardiometabolic Profile in the Moderate and High Cardiovascular Risk Populations: A Population-Based Study. J Clin Med 2021; 10:jcm10081584. [PMID: 33918620 PMCID: PMC8069041 DOI: 10.3390/jcm10081584] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/01/2021] [Accepted: 04/06/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is a major, worldwide problem that remains the dominant cause of premature mortality in the world, and increasing rates of dysglycaemia are a major contributor to its development. The aim of this study was to investigate the cardiometabolic profile among patients in particular cardiovascular risk classes, and to estimate their long term CV risk. METHODS A total of 931 individuals aged 20-79 were included. The study population was divided into CV risk classes according to the latest European Society of Cardiology recommendations. RESULTS Most of the analyzed anthropometric, body composition and laboratory parameters did not differ between the moderate and high CV risk participants. Interestingly, estimating the lifetime risk of myocardial infarction, stroke or CV death, using the LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people, yielded similar results in moderate and high CV risk classes. CONCLUSION The participants who belonged to moderate and high CV risk classes had very similar unfavorable cardiometabolic profiles, which may result in similar lifetime CV risk. This may imply the need for more aggressive pharmacological and non-pharmacological management of CV risk factors in the moderate CV risk population, who are often unaware of their situation. New prospective population studies are necessary to establish the true cardiovascular risk profiles in a changing society.
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12
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Impact of Pulse Wave Velocity and Parameters Reflecting Android Type Fat Distribution on Left Ventricular Diastolic Dysfunction in Patients with Chronic Coronary Syndromes. J Clin Med 2020; 9:jcm9123924. [PMID: 33287316 PMCID: PMC7761650 DOI: 10.3390/jcm9123924] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 11/27/2020] [Accepted: 12/01/2020] [Indexed: 01/12/2023] Open
Abstract
Background: Left ventricular diastolic dysfunction (LVDD) is caused by a decreased left ventricle relaxation and is associated with an increased risk of symptomatic heart failure (HF) and excessive mortality. Aim: To evaluate the frequency and factors related to LVDD in the population with chronic coronary syndromes (CCS). Methods: 200 patients (mean age 63.18 ± 8.12 years, 75.5% male) with CCS were included. LVDD was diagnosed based on the recent echocardiography guidelines. Results: LVDD was diagnosed in 38.5% of CCS population. From the studied factors, after adjustment for age, sex, and N-terminal pro-brain natriuretic peptide (NT-proBNP), LVDD associated positively with android/gynoid (A/G) fat mass ratio, left ventricular mass index (LVMI), and negatively with Z-score and left ventricular ejection fraction (LVEF). In stepwise backward logistic regression analysis, the strongest factors associated with LVDD were pulse wave velocity value, handgrip strength and waist to hip ratio (WHR). Conclusions: LVDD is common among CCS patients and it is associated with parameters reflecting android type fat distribution regardless of NT-proBNP and high-sensitivity troponin T concentrations. Deterioration in diastolic dysfunction is linked with increased aortic stiffness independently of age and sex. Further studies evaluating the effects of increasing physical fitness and lowering abdominal fat accumulations on LVDD in CCS patients should be considered.
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13
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Chlabicz M, Jamiołkowski J, Paniczko M, Sowa P, Szpakowicz M, Łapińska M, Jurczuk N, Kondraciuk M, Ptaszyńska-Kopczyńska K, Raczkowski A, Szpakowicz A, Kamiński KA. ECG Indices Poorly Predict Left Ventricular Hypertrophy and Are Applicable Only in Individuals With Low Cardiovascular Risk. J Clin Med 2020; 9:E1364. [PMID: 32384681 PMCID: PMC7290685 DOI: 10.3390/jcm9051364] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/24/2020] [Accepted: 05/04/2020] [Indexed: 12/22/2022] Open
Abstract
Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular events. The electrocardiography (ECG) has poor sensitivity, but it is commonly used to detect LVH. AIM To evaluate the diagnostic efficacy of known ECG indicators to recognize LVH in subgroups with different cardiovascular risk levels. Methods: 676 volunteers were included. RESULTS We found that 10.2% of the analyzed population had LVH based on echocardiography. Individuals with LVH were older, had a higher body mass index, higher systolic blood pressure, lower heart rate, higher parameters of insulin resistance, higher cardiovascular risk, and android-type obesity. Variables that remained independently associated with LVH were QRS duration, left atrial volume index, troponin T, and hemoglobin A1c. The receiver operating characteristics (ROC) curve analysis of the Sokolow-Lyon index did not show a significant predictive ability to diagnose LVH in the whole study population including all cardiovascular risk classes. The ROC curves analysis of Cornell and Lewis indices showed a modest predictive ability to diagnose LVH in the general population and in a low cardiovascular class. CONCLUSIONS There is a need for new, simple methods to diagnose LVH in the general population in order to properly evaluate cardiovascular risk and introduce optimal medical treatment of concomitant disease.
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Affiliation(s)
- Małgorzata Chlabicz
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
- Department of Invasive Cardiology, Teaching University Hospital of Bialystok, 15-276 Bialystok, Poland
| | - Jacek Jamiołkowski
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Marlena Paniczko
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Paweł Sowa
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Małgorzata Szpakowicz
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Magda Łapińska
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Natalia Jurczuk
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Marcin Kondraciuk
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | | | - Andrzej Raczkowski
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
| | - Anna Szpakowicz
- Department of Cardiology, Teaching University Hospital of Bialystok, 15-276 Bialystok, Poland; (K.P.-K.); (A.S.)
| | - Karol Adam Kamiński
- Department of Population Medicine and Civilization Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland; (M.C.); (J.J.); (M.P.); (P.S.); (M.S.); (M.Ł.); (N.J.); (M.K.); (A.R.)
- Department of Cardiology, Teaching University Hospital of Bialystok, 15-276 Bialystok, Poland; (K.P.-K.); (A.S.)
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