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Suthahar N, Wang D, Aboumsallem JP, Shi C, de Wit S, Liu EE, Lau ES, Bakker SJL, Gansevoort RT, van der Vegt B, Jovani M, Kreger BE, Lee Splansky G, Benjamin EJ, Vasan RS, Larson MG, Levy D, Ho JE, de Boer RA. Association of Initial and Longitudinal Changes in C-reactive Protein With the Risk of Cardiovascular Disease, Cancer, and Mortality. Mayo Clin Proc 2023; 98:549-558. [PMID: 37019514 PMCID: PMC10698556 DOI: 10.1016/j.mayocp.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/05/2022] [Accepted: 10/07/2022] [Indexed: 04/07/2023]
Abstract
OBJECTIVE To evaluate the value of serial C-reactive protein (CRP) measurements in predicting the risk of cardiovascular disease (CVD), cancer, and mortality. METHODS The analysis was performed using data from two prospective, population-based observational cohorts: the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study and the Framingham Heart Study (FHS). A total of 9253 participants had CRP measurements available at two examinations (PREVEND: 1997-1998 and 2001-2002; FHS Offspring cohort: 1995-1998 and 1998-2001). All CRP measurements were natural log-transformed before analyses. Cardiovascular disease included fatal and nonfatal cardiovascular, cerebrovascular and peripheral vascular events, and heart failure. Cancer included all malignancies except nonmelanoma skin cancers. RESULTS The mean age of the study population at baseline was 52.4±12.1 years and 51.2% (n=4733) were women. Advanced age, female sex, smoking, body mass index, and total cholesterol were associated with greater increases in CRP levels over time (Pall<.001 in the multivariable model). Baseline CRP, as well as increase in CRP over time (ΔCRP), were associated with incident CVD (hazard ratio [HR]: 1.29 per 1-SD increase; 95% confidence interval [CI]: 1.29 to 1.47, and HR per 1-SD increase: 1.19; 95% CI: 1.09 to 1.29 respectively). Similar findings were observed for incident cancer (baseline CRP, HR: 1.17; 95% CI: 1.09 to 1.26; ΔCRP, HR: 1.08; 95% CI: 1.01 to 1.15) and mortality (baseline CRP, HR: 1.29; 95% CI: 1.21 to 1.37; ΔCRP, HR: 1.10; 95% CI: 1.05 to 1.16). CONCLUSION Initial as well as subsequent increases in CRP levels predict future CVD, cancer, and mortality in the general population.
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Affiliation(s)
- Navin Suthahar
- Department of Cardiology, University of Groningen, Groningen, the Netherlands; Department of Cardiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
| | - Dongyu Wang
- Cardiovascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Boston University, Boston, MA, USA
| | | | - Canxia Shi
- Department of Cardiology, University of Groningen, Groningen, the Netherlands
| | - Sanne de Wit
- Department of Cardiology, University of Groningen, Groningen, the Netherlands
| | - Elizabeth E Liu
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Emily S Lau
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, Groningen, the Netherlands
| | - Ron T Gansevoort
- Division of Nephrology, Department of Internal Medicine, University of Groningen, Groningen, the Netherlands
| | - Bert van der Vegt
- Department of Pathology, University of Groningen, Groningen, the Netherlands
| | - Manol Jovani
- Digestive Diseases and Nutrition, University of Kentucky Albert B. Chandler Hospital, Lexington, KY, USA
| | - Bernard E Kreger
- Department of Medicine, School of Medicine, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | | | - Emelia J Benjamin
- Department of Biostatistics, Boston University, Boston, MA, USA; Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA; Department of Medicine, School of Medicine, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Ramachandran S Vasan
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA; Department of Medicine, School of Medicine, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer E Ho
- Cardiovascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Rudolf A de Boer
- Department of Cardiology, University of Groningen, Groningen, the Netherlands; Department of Cardiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
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2
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Dronkers J, Meems LMG, van Veldhuisen DJ, Meyer S, Kieneker LM, Gansevoort RT, Bakker SJL, Rienstra M, de Boer RA, Suthahar N. Sex differences in associations of comorbidities with incident cardiovascular disease: focus on absolute risk. EUROPEAN HEART JOURNAL OPEN 2022; 2:oeac017. [PMID: 35919118 PMCID: PMC9242082 DOI: 10.1093/ehjopen/oeac017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 03/07/2022] [Indexed: 11/12/2022]
Abstract
Aim To examine sex differences in associations of obesity, type-2 diabetes, hypertension, and atrial fibrillation (AF) with incident cardiovascular disease (CVD), focusing on absolute risk measures. Methods and results We included a total of 7994 individuals (mean age 49.1 years; 51.2% women) without prior CVD from the PREVEND (Prevention of Renal and Vascular End-stage Disease) cohort with a median follow-up of 12.5 years. Using Poisson regression, we calculated the increase in absolute as well as relative CVD risk associated with a comorbidity using incidence rate differences (IRD = IRcomorbidity−IRno-comorbidity) and incidence rate ratios (IRR = IRcomorbidity/IRno-comorbidity), respectively. Sex differences were presented as women-to-men differences (WMD = IRDwomen−IRDmen) and women-to-men ratios (WMR = IRRwomen/IRRmen). Absolute CVD risk was lower in women than in men (IRwomen: 6.73 vs. IRmen: 14.58 per 1000 person-years). While increase in absolute CVD risk associated with prevalent hypertension was lower in women than in men [WMD: −6.12, 95% confidence interval: (−9.84 to −2.40), P = 0.001], increase in absolute CVD risk associated with prevalent obesity [WMD: −4.25 (−9.11 to 0.61), P = 0.087], type-2 diabetes [WMD: −1.04 (−14.36 to 12.29), P = 0.879] and AF [WMD: 18.39 (−39.65 to 76.43), P = 0.535] did not significantly differ between the sexes. Using relative risk measures, prevalent hypertension [WMR: 1.49%, 95% confidence interval: (1.12–1.99), P = 0.006], type-2 diabetes [WMR: 1.73 (1.09–2.73), P = 0.019], and AF [WMR: 2.53 (1.12–5.70), P = 0.025] were all associated with higher CVD risk in women than in men. Conclusion Increase in absolute risk of developing CVD is higher in hypertensive men than in hypertensive women, but no substantial sex-related differences were observed among individuals with obesity, type-2 diabetes and AF. On a relative risk scale, comorbidities, in general, confer a higher CVD risk in women than in men.
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Affiliation(s)
- Just Dronkers
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands
| | - Laura M G Meems
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands
| | - Dirk J van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands
| | - Sven Meyer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands.,Heart Center Oldenburg, Department of Cardiology, European Medical School Oldenburg-Groningen, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Lyanne M Kieneker
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands
| | - Navin Suthahar
- Department of Cardiology, University of Groningen, University Medical Center Groningen, AB43, Hanzeplein 1, Groningen 9713 GZ, the Netherlands
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Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND. Sci Rep 2022; 12:147. [PMID: 34996898 PMCID: PMC8741934 DOI: 10.1038/s41598-021-02409-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/10/2021] [Indexed: 11/20/2022] Open
Abstract
Body-mass index (BMI), waist circumference, and waist-hip ratio are commonly used anthropometric indices of adiposity. However, over the past 10 years, several new anthropometric indices were developed, that more accurately correlated with body fat distribution and total fat mass. They include relative fat mass (RFM), body-roundness index (BRI), weight-adjusted-waist index and body-shape index (BSI). In the current study, we included 8295 adults from the PREVEND (Prevention of Renal and Vascular End-Stage Disease) observational cohort (the Netherlands), and sought to examine associations of novel as well as established adiposity indices with incident heart failure (HF). The mean age of study population was 50 ± 13 years, and approximately 50% (n = 4134) were women. Over a 11 year period, 363 HF events occurred, resulting in an overall incidence rate of 3.88 per 1000 person-years. We found that all indices of adiposity (except BSI) were significantly associated with incident HF in the total population (P < 0.001); these associations were not modified by sex (P interaction > 0.1). Amongst adiposity indices, the strongest association was observed with RFM [hazard ratio (HR) 1.67 per 1 SD increase; 95% confidence interval (CI) 1.37–2.04]. This trend persisted across multiple age groups and BMI categories, and across HF subtypes [HR: 1.76, 95% CI 1.26–2.45 for HF with preserved ejection fraction; HR 1.61, 95% CI 1.25–2.06 for HF with reduced ejection fraction]. We also found that all adiposity indices (except BSI) improved the fit of a clinical HF model; improvements were, however, most evident after adding RFM and BRI (reduction in Akaike information criteria: 24.4 and 26.5 respectively). In conclusion, we report that amongst multiple anthropometric indicators of adiposity, RFM displayed the strongest association with HF risk in Dutch community dwellers. Future studies should examine the value of including RFM in HF risk prediction models.
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Zwartkruis VW, Geelhoed B, Suthahar N, Bakker SJL, Gansevoort RT, van Gelder IC, de Boer RA, Rienstra M. Atrial fibrillation detected at screening is not a benign condition: outcomes in screen-detected versus clinically detected atrial fibrillation. Results from the Prevention of Renal and Vascular End-stage Disease (PREVEND) study. Open Heart 2022; 8:openhrt-2021-001786. [PMID: 34969833 PMCID: PMC8718469 DOI: 10.1136/openhrt-2021-001786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 11/29/2021] [Indexed: 11/03/2022] Open
Abstract
AIMS It is unknown whether screen-detected atrial fibrillation (AF) carries cardiovascular risks similar to clinically detected AF. We aimed to compare clinical outcomes between individuals with screen-detected and clinically detected incident AF. METHODS We studied 8265 participants (age 49 ± 13 years, 50% women) without prevalent AF from the community-based Prevention of Renal and Vascular End-stage Disease (PREVEND) study. By design of the PREVEND study, 70% of participants had a urinary albumin concentration >10 mg/L. Participants underwent 12-lead ECG screening at baseline and every 3 years. AF was considered screen-detected when first diagnosed during a study visit and clinically detected when first diagnosed during a hospital visit. We analysed data from the baseline visit (1997-1998) up to the third follow-up visit (2008). We used Cox regression with screen-detected and clinically detected AF as time-varying covariates to study the association of screen-detected and clinically detected AF with all-cause mortality, incident heart failure (HF) and vascular events. RESULTS During a follow-up of 9.8 ± 2.3 years, 265 participants (3.2%) developed incident AF, of whom 60 (23%) had screen-detected AF. The majority of baseline characteristics were comparable between individuals with screen-detected and clinically detected AF. Unadjusted, both screen-detected and clinically detected AF were strongly associated with mortality, incident HF, and vascular events. After multivariable adjustment, screen-detected and clinically detected AF remained significantly associated with mortality (HR 2.21 (95% CI 1.09 to 4.47) vs 2.95 (2.18 to 4.00), p for difference=0.447) and incident HF (4.90 (2.28 to 10.57) vs 3.98 (2.49 to 6.34), p for difference=0.635). After adjustment, screen-detected AF was not significantly associated with vascular events, whereas clinically detected AF was (1.12 (0.46 to 2.71) vs 1.92 (1.21 to 3.06), p for difference=0.283). CONCLUSION Screen-detected incident AF was associated with an increased risk of adverse outcomes, especially all-cause mortality and incident HF. The risk of outcomes was not significantly different between screen-detected AF and clinically detected AF.
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Affiliation(s)
- Victor W Zwartkruis
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bastiaan Geelhoed
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Navin Suthahar
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, Nephrology Division, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, Nephrology Division, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Isabelle C van Gelder
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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5
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Bracun V, Suthahar N, Shi C, de Wit S, Meijers WC, Klip IJT, de Boer RA, Aboumsallem JP. Established Tumour Biomarkers Predict Cardiovascular Events and Mortality in the General Population. Front Cardiovasc Med 2021; 8:753885. [PMID: 34957244 PMCID: PMC8692719 DOI: 10.3389/fcvm.2021.753885] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/10/2021] [Indexed: 01/07/2023] Open
Abstract
Introduction: Several lines of evidence reveal that cardiovascular disease (CVD) and cancer share similar common pathological milieus. The prevalence of the two diseases is growing as the population ages and the burden of shared risk factors increases. In this respect, we hypothesise that tumour biomarkers can be potential predictors of CVD outcomes in the general population. Methods: We measured six tumour biomarkers (AFP, CA125, CA15-3, CA19-9, CEA and CYFRA 21-1) and determined their predictive value for CVD in the Prevention of Renal and Vascular End-stage Disease (PREVEND) study. A total of 8,592 subjects were enrolled in the study. Results: The levels of CEA significantly predicted CV morbidity and mortality, with hazard ratios (HRs) of HR 1.28 (95% CI 1.08–1.53), respectively. Two biomarkers (CA15-3 and CEA) showed statistical significance in predicting all-cause mortality, with HRs 1.58 (95% CI 1.18–2.12) and HR 1.60 (95% CI 1.30–1.96), when adjusted for shared risk factors and prevalent CVD. Furthermore, biomarkers seem to be sex specific. CYFRA 21-1 presented as an independent predictor of CV morbidity and mortality in female, but not in male gender, with HR 1.82 (95% CI 1.40–2.35). When it comes to all-cause mortality, both CYFRA and CEA show statistical significance in male gender, with HR 1.64 (95% CI 1.28–3.12) and HR 1.55 (95% CI 1.18–2.02), while only CEA showed statistical significance in female gender, with HR 1.64 (95% CI 1.20–2.24). Lastly, CA15-3 and CEA strongly predicted CV mortality with HR 3.01 (95% CI 1.70–5.32) and HR 1.82 (95% CI 1.30–2.56). On another hand, CA 15-3 also presented as an independent predictor of heart failure (HF) with HR 1.67 (95% CI 1.15–2.42). Conclusion: Several tumour biomarkers demonstrated independent prognostic value for CV events and all-cause mortality in a large cohort from the general population. These findings support the notion that CVD and cancer are associated with similar pathological milieus.
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Affiliation(s)
- Valentina Bracun
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Navin Suthahar
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Canxia Shi
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Sanne de Wit
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Wouter C Meijers
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - IJsbrand T Klip
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
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Finke D, Romann SW, Heckmann MB, Hund H, Bougatf N, Kantharajah A, Katus HA, Müller OJ, Frey N, Giannitsis E, Lehmann LH. High-sensitivity cardiac troponin T determines all-cause mortality in cancer patients: a single-centre cohort study. ESC Heart Fail 2021; 8:3709-3719. [PMID: 34396713 PMCID: PMC8497378 DOI: 10.1002/ehf2.13515] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/27/2021] [Accepted: 07/05/2021] [Indexed: 01/18/2023] Open
Abstract
Aims Cardio‐oncology is a growing interdisciplinary field which aims to improve cardiological care for cancer patients in order to reduce morbidity and mortality. The impact of cardiac biomarkers, echocardiographic parameters, and cardiological assessment regarding risk stratification is still unclear. We aimed to identify potential parameters that allow an early risk stratification of cancer patients. Methods and results In this cohort study, we evaluated 930 patients that were admitted to the cardio‐oncology outpatient clinic of the University Hospital Heidelberg from January 2016 to January 2019. We performed echocardiography, including Global Longitudinal Strain (GLS) analysis and measured cardiac biomarkers including N‐terminal pro brain‐type natriuretic peptide (NT‐proBNP) and high‐sensitivity cardiac troponin T levels (hs‐cTnT). Most patients were suffering from breast cancer (n = 450, 48.4%), upper gastrointestinal carcinoma (n = 99, 10.6%) or multiple myeloma (n = 51, 5.5%). At the initial visit, we observed 86.7% of patients having a preserved left ventricular ejection fraction (LVEF >50%). At the second follow up, still 78.9% of patients showed a preserved LVEF. Echocardiographic parameters or elevation of NT‐proBNP did not significantly correlate with all‐cause mortality (ACM) (logistic regression LVEF <50%: P = 0.46, NT‐proBNP: P = 0.16) and failed to identify high‐risk patients. In contrast, hs‐cTnT above the median (≥7 ng/L) was an independent marker to determine ACM (multivariant logistic regression, OR: 2.21, P = 0.0038) among all included patients. In particular, hs‐cTnT levels before start of a chemotherapy were predictive for ACM. Conclusions Based on our non‐selected cohort of cardio‐oncological patients, hs‐cTnT was able to identify patients with high mortality by using a low cutoff of 7 ng/L. We conclude that measurement of hs‐cTnT is an important tool to stratify the risk for mortality of cancer patients before starting chemotherapy.
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Affiliation(s)
- Daniel Finke
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Sebastian W Romann
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Markus B Heckmann
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Hauke Hund
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Nina Bougatf
- Clinical Cancer Registry, National Centre for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology and Radiotherapy, Heidelberg University Hospital, Heidelberg, Germany
| | - Ajith Kantharajah
- Department of Cardiology, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Hugo A Katus
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Oliver J Müller
- Department of Cardiology, University Hospital Kiel, Kiel, Germany
| | - Norbert Frey
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Lorenz H Lehmann
- Department of Internal Medicine III: Cardiology, Angiology & Pulmonology, Heidelberg University Hospital, Heidelberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
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Suthahar N, Tschöpe C, de Boer RA. Being in Two Minds-The Challenge of Heart Failure with Preserved Ejection Fraction Diagnosis with a Single Biomarker. Clin Chem 2021; 67:46-49. [PMID: 33257990 DOI: 10.1093/clinchem/hvaa255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 10/06/2020] [Indexed: 12/28/2022]
Affiliation(s)
- Navin Suthahar
- University Medical Center Groningen, University of Groningen, Department of Cardiology, Groningen, the Netherlands
| | - Carsten Tschöpe
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Rudolf A de Boer
- University Medical Center Groningen, University of Groningen, Department of Cardiology, Groningen, the Netherlands
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8
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Stege NM, de Boer RA, van den Berg MP, Silljé HHW. The Time Has Come to Explore Plasma Biomarkers in Genetic Cardiomyopathies. Int J Mol Sci 2021; 22:2955. [PMID: 33799487 PMCID: PMC7998409 DOI: 10.3390/ijms22062955] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/09/2021] [Accepted: 03/11/2021] [Indexed: 12/17/2022] Open
Abstract
For patients with hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM) or arrhythmogenic cardiomyopathy (ACM), screening for pathogenic variants has become standard clinical practice. Genetic cascade screening also allows the identification of relatives that carry the same mutation as the proband, but disease onset and severity in mutation carriers often remains uncertain. Early detection of disease onset may allow timely treatment before irreversible changes are present. Although plasma biomarkers may aid in the prediction of disease onset, monitoring relies predominantly on identifying early clinical symptoms, on imaging techniques like echocardiography (Echo) and cardiac magnetic resonance imaging (CMR), and on (ambulatory) electrocardiography (electrocardiograms (ECGs)). In contrast to most other cardiac diseases, which are explained by a combination of risk factors and comorbidities, genetic cardiomyopathies have a clear primary genetically defined cardiac background. Cardiomyopathy cohorts could therefore have excellent value in biomarker studies and in distinguishing biomarkers related to the primary cardiac disease from those related to extracardiac, secondary organ dysfunction. Despite this advantage, biomarker investigations in cardiomyopathies are still limited, most likely due to the limited number of carriers in the past. Here, we discuss not only the potential use of established plasma biomarkers, including natriuretic peptides and troponins, but also the use of novel biomarkers, such as cardiac autoantibodies in genetic cardiomyopathy, and discuss how we can gauge biomarker studies in cardiomyopathy cohorts for heart failure at large.
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Affiliation(s)
| | | | | | - Herman H. W. Silljé
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, AB43, 9713 GZ Groningen, The Netherlands; (N.M.S.); (R.A.d.B.); (M.P.v.d.B.)
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9
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Suthahar N, Meems LMG, Groothof D, Bakker SJL, Gansevoort RT, van Veldhuisen DJ, de Boer RA. Relationship between body mass index, cardiovascular biomarkers and incident heart failure. Eur J Heart Fail 2021; 23:396-402. [PMID: 33443299 PMCID: PMC8247970 DOI: 10.1002/ejhf.2102] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/21/2020] [Accepted: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
AIMS There are limited data examining whether body mass index (BMI) influences the association between cardiovascular biomarkers and incident heart failure (HF). METHODS AND RESULTS Thirteen biomarkers representing key HF domains were measured: N-terminal pro-B-type natriuretic peptide (NT-proBNP), mid-regional pro-A-type natriuretic peptide (MR-proANP), cardiac troponin T (cTnT), C-reactive protein, procalcitonin, galectin-3, C-terminal pro-endothelin-1 (CT-proET-1), mid-regional pro-adrenomedullin, plasminogen activator inhibitor-1, copeptin, renin, aldosterone, and cystatin-C. Associations of biomarkers with BMI were examined using linear regression models, and with incident HF using Cox regression models. We selected biomarkers significantly associated with incident HF, and evaluated whether BMI modified these associations. Among 8202 individuals, 41% were overweight (BMI 25-30 kg/m2 ), and 16% were obese (BMI ≥30 kg/m2 ). Mean age of the cohort was 49 years (range 28-75), and 50% were women. All biomarkers except renin were associated with BMI: inverse associations were observed with NT-proBNP, MR-proANP, CT-proET-1 and aldosterone whereas positive associations were observed with the remaining biomarkers (all P ≤ 0.001). During 11.3 ± 3.1 years of follow-up, 357 HF events were recorded. Only NT-proBNP, MR-proANP and cTnT remained associated with incident HF (P < 0.001), and a significant biomarker*BMI interaction was not observed (interaction P > 0.1). Combined NT-proBNP and cTnT measurements modestly improved performance metrics of the clinical HF model in overweight (ΔC-statistic = 0.024; likelihood ratio χ2 = 38; P < 0.001) and obese (ΔC-statistic = 0.020; likelihood ratio χ2 = 32; P < 0.001) individuals. CONCLUSIONS Plasma concentrations of several cardiovascular biomarkers are influenced by obesity. Only NT-proBNP, MR-proANP and cTnT were associated with incident HF, and BMI did not modify these associations. A combination of NT-proBNP and cTnT improves HF risk prediction in overweight and obese individuals.
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Affiliation(s)
- Navin Suthahar
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Laura M G Meems
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dion Groothof
- Nephrology Division, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Nephrology Division, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ron T Gansevoort
- Nephrology Division, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dirk J van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Prognostic Value of Soluble Suppression of Tumorigenicity 2 in Chronic Kidney Disease Patients: A Meta-Analysis. DISEASE MARKERS 2021; 2021:8881393. [PMID: 33574967 PMCID: PMC7857877 DOI: 10.1155/2021/8881393] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 12/31/2020] [Accepted: 01/14/2021] [Indexed: 01/11/2023]
Abstract
Objective Previous studies have controversial results about the prognostic role of soluble suppression of tumorigenicity 2 (sST2) in chronic kidney disease (CKD). Therefore, we conduct this meta-analysis to access the association between sST2 and all-cause mortality, cardiovascular disease (CVD) mortality, and CVD events in patients with CKD. Methods The publication studies on the association of sST2 with all-cause mortality, CVD mortality, and CVD events from PubMed and Embase were searched through August 2020. We pooled the hazard ratio (HR) comparing high versus low levels of sST2 and subgroup analysis based on treatment, continent, and diabetes mellitus (DM) proportion, and sample size was also performed. Results There were 15 eligible studies with 11,063 CKD patients that were included in our meta-analysis. Elevated level of sST2 was associated with increased risk of all-cause mortality (HR 2.05; 95% confidence interval (CI), 1.51-2.78), CVD mortality (HR 1.68; 95% CI, 1.35-2.09), total CVD events (HR 1.88; 95% CI, 1.26-2.80), and HF (HR 1.35; 95% CI, 1.11-1.64). Subgroup analysis based on continent, DM percentage, and sample size showed that these factors did not influence the prognostic role of sST2 levels to all-cause mortality. Conclusions Our results show that high levels of sST2 could predict the all-cause mortality, CVD mortality, and CVD events in CKD patients.
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