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Zhang G, Wang Z, Tong Z, Qin Z, Su C, Li D, Xu S, Li K, Zhou Z, Xu Y, Zhang S, Wu R, Li T, Zheng Y, Zhang J, Cheng K, Tang J. AI hybrid survival assessment for advanced heart failure patients with renal dysfunction. Nat Commun 2024; 15:6756. [PMID: 39117613 PMCID: PMC11310499 DOI: 10.1038/s41467-024-50415-9] [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: 09/18/2023] [Accepted: 07/10/2024] [Indexed: 08/10/2024] Open
Abstract
Renal dysfunction (RD) often characterizes the worse course of patients with advanced heart failure (AHF). Many prognosis assessments are hindered by researcher biases, redundant predictors, and lack of clinical applicability. In this study, we enroll 1736 AHF/RD patients, including data from Henan Province Clinical Research Center for Cardiovascular Diseases (which encompasses 11 hospital subcenters), and Beth Israel Deaconess Medical Center. We developed an AI hybrid modeling framework, assembling 12 learners with different feature selection paradigms to expand modeling schemes. The optimized strategy is identified from 132 potential schemes to establish an explainable survival assessment system: AIHFLevel. The conditional inference survival tree determines a probability threshold for prognostic stratification. The evaluation confirmed the system's robustness in discrimination, calibration, generalization, and clinical implications. AIHFLevel outperforms existing models, clinical features, and biomarkers. We also launch an open and user-friendly website www.hf-ai-survival.com , empowering healthcare professionals with enhanced tools for continuous risk monitoring and precise risk profiling.
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Affiliation(s)
- Ge Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Zeyu Wang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Zhuang Tong
- Henan Academy of Medical Big Data, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhen Qin
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Chang Su
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Demin Li
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Shuai Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Kaixiang Li
- Henan Academy of Medical Big Data, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhaokai Zhou
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Yudi Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Shiqian Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ruhao Wu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Teng Li
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Youyang Zheng
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jinying Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China.
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China.
| | - Ke Cheng
- Department of Biomedical Engineering, Columbia University, New York City, New York, 10032, NY, USA.
| | - Junnan Tang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China.
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China.
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2
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Wussler D, Belkin M, Shrestha S, Wernicke H, Papachristou A, Nowak A, Aliyeva F, Mork C, Strebel I, Huré GVF, Weil D, Michou E, Kozhuharov N, Gualandro DM, Puelacher C, Miró O, Rossello X, Martín-Sánchez FJ, Pocock SJ, Goudev A, Breidthardt T, Mueller C. Incremental value of C-reactive protein to the MEESSI acute heart failure risk score. Eur J Heart Fail 2024. [PMID: 38923253 DOI: 10.1002/ejhf.3349] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/27/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
AIMS We hypothesized that the current gold standard for risk stratification of patients with acute heart failure (AHF), the Multiple Estimation of risk based on the Emergency department Spanish Score In patients with AHF (MEESSI-AHF) risk score, can be further improved by adding systemic inflammation as quantified by C-reactive protein (CRP). METHODS AND RESULTS In a prospective multicentre diagnostic study (BASEL V), AHF was centrally adjudicated by two independent cardiologists. The MEESSI-AHF risk score was calculated using an established reduced and recalibrated model containing 12 independent risk factors. Model extension was performed by refitting and adding CRP in the logistic regression model with 30-day mortality as binary outcome. Discrimination, calibration and clinical usefulness were used to assess the performance of the extended Multiple Estimation of risk based on the Emergency department Spanish Score In patients (MEESSI) model. Validation was performed in an independent, retrospective and single-centre AHF cohort. Among 1208 AHF patients with complete data allowing calculation of the recalibrated MEESSI and the extended MEESSI models, the prognostic accuracy for 30-day mortality of the extended MEESSI model (c-statistic 0.83, 95% confidence interval [CI] 0.79-0.87) was significantly higher compared to the recalibrated model (c-statistic 0.79, 95% CI 0.75-0.83, p = 0.013). The extended model allowed to stratify a higher percentage of patients into the lowest risk group compared to the recalibrated model (33.1% vs. 20.3%). Demonstrating a calibration plot's slope of 1.00 (95% CI 0.81-1.19) and an intercept of 0.0 (95% CI -0.22 to 0.22), the extended MEESSI model achieved excellent and improved calibration. Results were confirmed in the independent validation cohort (n = 575). CONCLUSIONS Quantifying inflammation using CRP concentration provided incremental value in AHF risk stratification using the established MEESSI model.
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Affiliation(s)
- Desiree Wussler
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Maria Belkin
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Samyut Shrestha
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Hannah Wernicke
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Androniki Papachristou
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Albina Nowak
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Endocrinology and Clinical Nutrition, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Fatima Aliyeva
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Constantin Mork
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- University Clinic of Medicine, Cantonal Hospital Baselland, Liestal, Switzerland
| | - Ivo Strebel
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Gabrielle Valerie Francoi Huré
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Dominic Weil
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Eleni Michou
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Cardiology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Nikola Kozhuharov
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Danielle M Gualandro
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Oscar Miró
- Emergency Department, Hospital Clínic, University Barcelona, Barcelona, Spain
| | - Xavier Rossello
- Cardiology Department, Institut d'Investigació Sanitària Illes Balears (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | | | - Stuart J Pocock
- Department of Medical Statistics, Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Assen Goudev
- Department of Cardiology, Queen Ioanna University Hospital Sofia, Medical University of Sofia, Sofia, Bulgaria
| | - Tobias Breidthardt
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
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Pfeiffer M, Boehmer J, Gorcsan J, Eguchi S, Orihara Y, Perl ML, Eigler N, Abraham WT, Villota JN, Lee E, Bayés-Genís A, Moravsky G, Kar S, Zile MR, Holcomb R, Anker SD, Stone GW, Rodés-Cabau J, Lindenfeld J, Bax JJ. In vivo fluid dynamics of the Ventura interatrial shunt device in patients with heart failure. ESC Heart Fail 2024. [PMID: 38773938 DOI: 10.1002/ehf2.14859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/25/2024] [Accepted: 04/24/2024] [Indexed: 05/24/2024] Open
Abstract
AIMS Interatrial shunts are under evaluation as a treatment for heart failure (HF); however, their in vivo flow performance has not been quantitatively studied. We aimed to investigate the fluid dynamics properties of the 0.51 cm orifice diameter Ventura shunt and assess its lumen integrity with serial transesophageal echocardiography (TEE). METHODS AND RESULTS Computational fluid dynamics (CFD) and bench flow tests were used to establish the flow-pressure relationship of the shunt. Open-label patients from the RELIEVE-HF trial underwent TEE at shunt implant and at 6 and 12 month follow-up. Shunt effective diameter (Deff) was derived from the vena contracta, and flow was determined by the continuity equation. CFD and bench studies independently validated that the shunt's discharge coefficient was 0.88 to 0.89. The device was successfully implanted in all 97 enrolled patients; mean age was 70 ± 11 years, 97% were NYHA class III, and 51% had LVEF ≤40%. Patency was confirmed in all instances, except for one stenotic shunt at 6 months. Deff remained unchanged from baseline at 12 months (0.47 ± 0.01 cm, P = 0.376), as did the trans-shunt mean pressure gradient (5.1 ± 3.9 mmHg, P = 0.316) and flow (1137 ± 463 mL/min, P = 0.384). TEE measured flow versus pressure closely correlated (R2 ≥ 0.98) with a fluid dynamics model. At 12 months, the pulmonary/systemic flow Qp/Qs ratio was 1.22 ± 0.12. CONCLUSIONS When implanted in patients with advanced HF, this small interatrial shunt demonstrated predictable and durable patency and performance.
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Affiliation(s)
- Michael Pfeiffer
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - John Boehmer
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - John Gorcsan
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Shunsuke Eguchi
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Yoshiyuki Orihara
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Michal Laufer Perl
- Division of Cardiology, Sammy Ofer Heart Center, Tel Aviv Sourasky Medical Center, Tel Aviv-Yafo, Israel
| | - Neal Eigler
- V-Wave, Agoura Hills, California, and Department of Cardiology, Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA
| | - William T Abraham
- Division of Cardiovascular Medicine, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | | | - Elizabeth Lee
- Division of Cardiology, Rochester General Hospital, Rochester, New York, USA
| | - Antoni Bayés-Genís
- Department of Cardiology, Germans Trias Heart Institute, Germans Trias University Hospital, Badalona, Spain
| | - Gil Moravsky
- Division of Cardiology, Shamir Medical Center (Assaf HaRofeh), Be'er Ya'akov, Israel
| | - Saibal Kar
- Cardiovascular Institute of Los Robles Health System, Los Robles, California, USA
| | - Michael R Zile
- Division of Cardiology, Medical University of South Carolina, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina, USA
| | | | - Stefan D Anker
- Department of Cardiology (CVK) of German Heart Center Charité, Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité University, Berlin, Germany
| | - Gregg W Stone
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Josep Rodés-Cabau
- Quebec Heart & Lung Institute, Laval University, Quebec City, Canada
| | - JoAnn Lindenfeld
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
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4
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Gorter TM, Hoendermis ES, van Veldhuisen DJ. Interatrial shunting as a treatment for heart failure: Where do we stand? Eur J Heart Fail 2024; 26:1090-1092. [PMID: 38661021 DOI: 10.1002/ejhf.3251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024] Open
Affiliation(s)
- Thomas M Gorter
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Elke S Hoendermis
- Department of Cardiology, 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
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5
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Rodés-Cabau J, Lindenfeld J, Abraham WT, Zile MR, Kar S, Bayés-Genís A, Eigler N, Holcomb R, Núñez J, Lee E, Perl ML, Moravsky G, Pfeiffer M, Boehmer J, Gorcsan J, Bax JJ, Anker S, Stone GW. Interatrial shunt therapy in advanced heart failure: Outcomes from the open-label cohort of the RELIEVE-HF trial. Eur J Heart Fail 2024; 26:1078-1089. [PMID: 38561314 DOI: 10.1002/ejhf.3215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/19/2023] [Accepted: 01/07/2024] [Indexed: 04/04/2024] Open
Abstract
AIMS Heart failure (HF) outcomes remain poor despite optimal guideline-directed medical therapy (GDMT). We assessed safety, effectiveness, and transthoracic echocardiographic (TTE) outcomes during the 12 months after Ventura shunt implantation in the RELIEVE-HF open-label roll-in cohort. METHODS AND RESULTS Eligibility required symptomatic HF despite optimal GDMT with ≥1 HF hospitalization in the prior year or elevated natriuretic peptides. The safety endpoint was device-related major adverse cardiovascular or neurological events at 30 days, compared to a prespecified performance goal. Effectiveness evaluations included the Kansas City Cardiomyopathy Questionnaire (KCCQ) at baseline, 1, 3, 6, and 12 months and TTE at baseline and 12 months. Overall, 97 patients were enrolled and implanted at 64 sites. Average age was 70 ± 11 years, 97% were in New York Heart Association class III, and half had left ventricular ejection fraction (LVEF) ≤40%. The safety endpoint was achieved (event rate 0%, p < 0.001). KCCQ overall summary score was improved by 12-16 points at all follow-up timepoints (all p < 0.004), with similar outcomes in patients with reduced and preserved LVEF. At 12 months, left ventricular end-systolic and end-diastolic volumes were reduced (p = 0.020 and p = 0.038, respectively), LVEF improved (p = 0.009), right ventricular end-systolic and end-diastolic areas were reduced (p = 0.001 and p = 0.030, respectively), and right ventricular fractional area change (p < 0.001) and tricuspid annular plane systolic excursion (p < 0.001) improved. CONCLUSION Interatrial shunting with the Ventura device was safe and resulted in favourable clinical effects in patients with HF, regardless of LVEF. Improvements of left and right ventricular structure and function were consistent with reverse myocardial remodelling. These results would support the potential of this shunt device as a treatment for HF.
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Affiliation(s)
- Josep Rodés-Cabau
- Quebec Heart & Lung Institute, Laval University, Quebec City, Québec, Canada
| | - JoAnn Lindenfeld
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - William T Abraham
- Division of Cardiovascular Medicine, Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Michael R Zile
- Division of Cardiology, Medical University of South Carolina, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, SC, USA
| | - Saibal Kar
- Cardiovascular Institute of Los Robles Health System, Los Robles, CA, USA
| | - Antoni Bayés-Genís
- Department of Cardiology, Germans Trias Heart Institute, Germans Trias University Hospital, Badalona, Spain
- CIBERCV, Madrid, Spain
| | - Neal Eigler
- V-Wave, Agoura Hills, California and Division of Cardiology, Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | | | - Julio Núñez
- Department of Cardiology, University of Valencia, Valencia, Spain
| | - Elizabeth Lee
- Division of Cardiology, Rochester General Hospital, Rochester, NY, USA
| | - Michal Laufer Perl
- Division of Cardiology, Sammy Ofer Heart Center, Tel Aviv Sourasky Medical Center, Tel Aviv-Yafo, Israel
| | - Gil Moravsky
- Division of Cardiology, Shamir Medical Center (Assaf HaRofeh), Be'er Ya'akov, Israel
| | - Michael Pfeiffer
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, PA, USA
| | - John Boehmer
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, PA, USA
| | - John Gorcsan
- Division of Cardiology, Penn State Heart and Vascular Institute, Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stefan Anker
- Department of Cardiology (CVK) of German Heart Center Charité, Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) Partner Site Berlin, Charité University, Berlin, Germany
| | - Gregg W Stone
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Pérez-Sanz TM, Gómez-Salvador I, Codina P, Calvo Antón B, de la Torre Carpente MM, Redondo Bermejo B, Tapia Ballesteros C. Soluble ST2, BCN-Bio-HF calculator and MAGGIC-HF score in long-term risk prediction after an urgent visit for heart failure. Heart Vessels 2024; 39:216-225. [PMID: 37872307 DOI: 10.1007/s00380-023-02327-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 09/28/2023] [Indexed: 10/25/2023]
Abstract
Soluble ST2 (sST2) is the expression of a pathogenic process related to adverse remodeling that ultimately leads to increased mortality in heart failure (HF). Risk score models provide a comprehensive approach for mortality prediction, beyond the use of biomarkers alone. The objective was to determine the additional value of sST2 and two well-validated contemporary risk scores, BCN-Bio-HF and MAGGIC-HF, in predicting mortality and readmission in the acute setting. This prospective study included 129 patients (mean age 75 ± 9 years; 52% males) after an urgent HF visit. Baseline sST2 levels were measured and the two risk scores were calculated. The primary endpoint was all-cause mortality, and the secondary endpoint was HF readmissions. The follow-up period was 3.6 ± 1.9 years. Patients who died (46%) had higher sST2 concentrations (80.5 vs. 42.7 ng/ml; p < 0.001). The BCN-Bio-HF calculator with sST2 demonstrated the best discriminative ability for mortality prediction (area under the ROC curve: 0.792; p < 0.001). In multivariate analysis for each risk score, the MAGGIC-HF score retained its predictive value only in the model without sST2 (3-year risk: HR = 1.036; 95% CI 1.019-1.054; p < 0.001). However, the BCN-Bio-HF score maintained its prognostic value with sST2 (HR = 1.032; 95%CI 1.020-1.044; p < 0.001), as well as without sST2 (HR = 1.035; 95% CI 1.021-1.049; p < 0.001). sST2 was not associated with readmission, and only the BCN-Bio-HF risk of HF hospitalization showed independent predictive value (OR = 1.040; 95% CI 1.005-1.076; p = 0.023). For predicting long-term mortality in HF in the emergency department, the BCN-Bio-HF calculator with sST2 demonstrated superior discrimination and allows estimation of the risk of HF hospitalizations.
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Affiliation(s)
- Teresa Miriam Pérez-Sanz
- Cardiology Service, University Hospital Río Hortega, Valladolid, Spain.
- Department of Medicine, Universidad de Valladolid, Valladolid, Spain.
| | - Itziar Gómez-Salvador
- Cardiology Service, CIBERCV (Biomedical Research Centre in the Cardiovascular Diseases Network), University Clinic Hospital, Valladolid, Spain
| | - Pau Codina
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias I Pujol, Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Beatriz Calvo Antón
- Clinical Analysis Service, University Hospital Río Hortega, Valladolid, Spain
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7
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Masè M, Rossi M, Setti M, Barbati G, Teso MV, Ribichini FL, Koni M, Stolfo D, Merlo M, Sinagra G. Applicability and performance of heart failure prognostic scores in dilated cardiomyopathy: the real-world experience of an Italian referral center for cardiomyopathies. Int J Cardiol 2024; 396:131562. [PMID: 37907097 DOI: 10.1016/j.ijcard.2023.131562] [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: 07/18/2023] [Revised: 09/26/2023] [Accepted: 10/27/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND The performance of heart failure (HF) risk models is validated in the general population with HF but in specific aetiological settings, and specifically in dilated cardiomyopathy (DCM), has scarcely been explored. We tested eight of the main prognostic scores used in HF in a large real-world population of patients with DCM. METHODS We included 784 consecutive DCM patients enrolled, both inpatients and outpatients, enrolled between January 2000 and December 2017. The risk of 1 and/or 3-year all-cause mortality/heart transplantation/durable left ventricular assist device (LVAD) implantation (D/HTx/LVAD) was estimated in our cohort according to the following risk scores SHFM, 3-CHF, CHARM, MAGGIC, GISSI-HF, MECKI, Barcelona Bio-HF, Krakow score and their accuracy calculated through the receiver operator characteristic (ROC) curve analysis. RESULTS During a median follow-up of 5.8 years (Interquartile Range 3.2-7.6 years), 191 patients (20%) died or underwent HTx/LVAD (158 deaths, 30 heart transplantations, and 3 LVAD implantations). The high missing rate allowed to calculated only four prognostic models (MAGGIC, CHARM, 3-CHF and SHFM). All the scores overestimated the rate of D/HTx/LVAD. The prognostic accuracy was suboptimal for MAGGIC (AUC 0.754) and CHARM (AUC 0.720) scores and only modest for 3-CHF (AUC 0.677) and SHFM (AUC 0.667). CONCLUSIONS Main prognostic scores for the risk stratification of HF are only partially applicable to real-world patients with DCM. MAGGIC and CHARM scores showed the best accuracy, despite the overestimation of risk. Our findings corroborate the need of specific risk scores for the prognostic stratification of DCM. CLINICAL PERSPECTIVE What is new? The present study is the largest analysis in literature which investigate how the main existing heart failure prognostic risk scores performed in a real-world of dilated cardiomyopathy population, both in- and outpatients. What are the clinical implications? DCM is a stand-alone model of heart failure, where the performance of multiple heart failure prognostic scores for the risk stratification is quite limited. The need for contemporary, dedicated prognostic scores in this disease is increasingly evident.
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Affiliation(s)
- M Masè
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy
| | - M Rossi
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy
| | - M Setti
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy; Division of Cardiology, Department of Medicine, University of Verona, Italy
| | - G Barbati
- Biostatistics Unit, Department of Medical Sciences, University of Trieste, Trieste, Italy
| | | | - F L Ribichini
- Division of Cardiology, Department of Medicine, University of Verona, Italy
| | - M Koni
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy
| | - D Stolfo
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy
| | - M Merlo
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy.
| | - G Sinagra
- Centre for Diagnosis and Treatment of Cardiomyopathies, Cardiothoracovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Via P. Valdoni 7, 34100 Trieste, Italy
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8
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Iwakura K, Onishi T, Okamura A, Koyama Y, Tanaka N, Okada M, Fujii K, Seo M, Yamada T, Yano M, Hayashi T, Yasumura Y, Nakagawa Y, Tamaki S, Nakagawa A, Sotomi Y, Hikoso S, Nakatani D, Sakata Y. The WATCH-DM risk score estimates clinical outcomes in type 2 diabetic patients with heart failure with preserved ejection fraction. Sci Rep 2024; 14:1746. [PMID: 38243047 PMCID: PMC10798943 DOI: 10.1038/s41598-024-52101-8] [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: 10/09/2023] [Accepted: 01/13/2024] [Indexed: 01/21/2024] Open
Abstract
The coexistence of heart failure is frequent and associated with higher mortality in patients with type 2 diabetes (T2DM), and its management is a critical issue. The WATCH-DM risk score is a tool to predict heart failure in patients with type 2 diabetes mellitus (T2DM). We investigated whether it could estimate outcomes in T2DM patients with heart failure with preserved ejection fraction (HFpEF). The WATCH-DM risk score was calculated in 418 patients with T2DM hospitalized for HFpEF (male 49.5%, age 80 ± 9 years, HbA1c 6.8 ± 1.0%), and they were divided into the "average or lower" (≤ 10 points), "high" (11-13 points) and "very high" (≥ 14 points) risk groups. We followed patients to observe all-cause death for 386 days (median). We compared the area under the curve (AUC) of the WATCH-DM score for predicting 1-year mortality with that of the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and of the Barcelona Bio-Heart Failure Risk (BCN Bio-HF). Among the study patients, 108 patients (25.8%) had average or lower risk scores, 147 patients (35.2%) had high risk scores, and 163 patients (39.0%) had very high risk scores. The Cox proportional hazard model selected the WATCH-DM score as an independent predictor of all-cause death (HR per unit 1.10, 95% CI 1.03 to 1.19), and the "average or lower" risk group had lower mortality than the other groups (p = 0.047 by log-rank test). The AUC of the WATCH-DM for 1-year mortality was 0.64 (95% CI 0.45 to 0.74), which was not different from that of the MAGGIC score (0.72, 95% CI 0.63 to 0.80, p = 0.08) or that of BCN Bio-HF (0.70, 0.61 to 0.80, p = 0.25). The WATCH-DM risk score can estimate prognosis in T2DM patients with HFpEF and can identify patients at higher risk of mortality.
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Affiliation(s)
- Katsuomi Iwakura
- Division of Cardiology, Sakurabashi Watanabe Hospital, 2-4-32, Umeda, Kita-ku, Osaka, 5300001, Japan.
| | - Toshinari Onishi
- Department of Cardiovascular Medicine, Sakai City Medical Center, Sakai, Japan
| | - Atsunori Okamura
- Division of Cardiology, Sakurabashi Watanabe Hospital, 2-4-32, Umeda, Kita-ku, Osaka, 5300001, Japan
| | - Yasushi Koyama
- Division of Cardiology, Sakurabashi Watanabe Hospital, 2-4-32, Umeda, Kita-ku, Osaka, 5300001, Japan
| | - Nobuaki Tanaka
- Division of Cardiology, Sakurabashi Watanabe Hospital, 2-4-32, Umeda, Kita-ku, Osaka, 5300001, Japan
| | - Masato Okada
- Division of Cardiology, Sakurabashi Watanabe Hospital, 2-4-32, Umeda, Kita-ku, Osaka, 5300001, Japan
| | - Kenshi Fujii
- Division of Cardiology, Sakurabashi Watanabe Hospital, 2-4-32, Umeda, Kita-ku, Osaka, 5300001, Japan
| | - Masahiro Seo
- Division of Cardiology, Osaka General Medical Center, Osaka, Japan
| | - Takahisa Yamada
- Division of Cardiology, Osaka General Medical Center, Osaka, Japan
| | - Masamichi Yano
- Division of Cardiology, Osaka Rosai Hospital, Sakai, Japan
| | | | - Yoshio Yasumura
- Division of Cardiology, Amagasaki Chuo Hospital, Amagasaki, Japan
| | - Yusuke Nakagawa
- Division of Cardiology, Kawanishi City Medical Center, Kawanishi, Japan
| | - Shunsuke Tamaki
- Department of Cardiology, Rinku General Medical Center, Izumisano, Japan
- Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Akito Nakagawa
- Division of Cardiology, Amagasaki Chuo Hospital, Amagasaki, Japan
- Department of Medical Informatics, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yohei Sotomi
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Shungo Hikoso
- Cardiovascular Medicine, Nara Medical University, Kashihara, Japan
| | - Daisaku Nakatani
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yasushi Sakata
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
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9
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Shaik SP, Karan HH, Singh A, Attuluri SK, Khan AAN, Zahid F, Patil D. HFpEF: New biomarkers and their diagnostic and prognostic value. Curr Probl Cardiol 2024; 49:102155. [PMID: 37866418 DOI: 10.1016/j.cpcardiol.2023.102155] [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: 10/01/2023] [Accepted: 10/14/2023] [Indexed: 10/24/2023]
Abstract
Heart failure characterized by preserved ejection fraction (HFpEF) poses a substantial challenge to healthcare systems worldwide and the diagnostic algorithms used currently mirror those utilized for reduced Ejection Fraction (HFrEF). This literature review aims to explore the diagnostic and prognostic credibility of numerous emerging biomarkers associated with HFpEF. We conducted a thorough analysis of the available medical literature and selected the biomarkers which yielded the maximum amount of published information. After reviewing the current literature we conclude that there are no biomarkers at present which are superior to natriuretic peptides in terms of diagnosis and prognosis of HFpEF. However biomarkers like Suppression of tumorigenicity2, Galectin3 and microRNAs are promising and can be researched further for future use. Although newer individual biomarkers may not be useful in diagnosing and prognosis of HFpEF, we believe that a specific biomarker profile may be identified in each phenotype,which can be used in future.
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Affiliation(s)
- Shahanaz Parveen Shaik
- Junior Resident, Internal Medicine, DR. Y.S.R University of Health Sciences, Andhra Pradesh, India.
| | - Hasnain Hyder Karan
- Resident, Internal Medicine, San Joaquin General Hospital,French Camp, CA, United States
| | - Arkaja Singh
- Junior Resident, Mahatma Gandhi Medical College and Hospital, Jaipur, India
| | - Sai Kiran Attuluri
- Junior Resident, Internal Medicine, DR. Y.S.R University of Health Sciences, Andhra Pradesh, India
| | - Afnan Akram Nawaz Khan
- Junior Resident, Internal Medicine, Vydehi Institute of Medical Sciences, Bangalore, India
| | - Fazila Zahid
- Resident, Internal Medicine, OSF St Francis Hospital, University of Illinois College of Medicine; IL; USA
| | - Dhrumil Patil
- Postdoctoral Research fellow, Cardiology department, Beth Israel Deaconess Medical Center, Harvard University, USA
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10
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Clemente G, Soldano JS, Tuttolomondo A. Heart Failure: Is There an Ideal Biomarker? Rev Cardiovasc Med 2023; 24:310. [PMID: 39076445 PMCID: PMC11272844 DOI: 10.31083/j.rcm2411310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/06/2023] [Accepted: 06/30/2023] [Indexed: 07/31/2024] Open
Abstract
An always-rising prevalence of heart failure (HF), formerly classified as an emerging epidemic in 1997 and still representing a serious problem of public health, imposes on us to examine more in-depth the pathophysiological mechanisms it is based on. Over the last few years, several biomarkers have been chosen and used in the management of patients affected by HF. The research about biomarkers has broadened our knowledge by identifying some underlying pathophysiological mechanisms occurring in patients with both acute and chronic HF. This review aims to provide an overview of the role of biomarkers previously identified as responsible for the pathophysiological mechanisms subtending the disease and other emerging ones to conduct the treatment and identify possible prognostic implications that may allow the optimization of the therapy and/or influence a closer follow-up. Taking the high prevalence of HF-associated comorbidities into account, an integrated approach using various biomarkers has shown promising results in predicting mortality, a preferable risk stratification, and the decrease of rehospitalizations, reducing health care costs as well.
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Affiliation(s)
- Giuseppe Clemente
- Internal Medicine and Stroke Care Ward, University Hospital Policlinico P.
Giaccone, 90127 Palermo, Italy
| | - John Sebastian Soldano
- Internal Medicine and Stroke Care Ward, University Hospital Policlinico P.
Giaccone, 90127 Palermo, Italy
| | - Antonino Tuttolomondo
- Internal Medicine and Stroke Care Ward, University Hospital Policlinico P.
Giaccone, 90127 Palermo, Italy
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11
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Codina P, Dobarro D, de Juan‐Bagudá J, De Frutos F, Lupón J, Bayes‐Genis A, Gonzalez‐Costello J. Heart failure risk scores in advanced heart failure patients: insights from the LEVO-D registry. ESC Heart Fail 2023; 10:2875-2881. [PMID: 37991427 PMCID: PMC10567651 DOI: 10.1002/ehf2.14400] [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: 02/22/2023] [Revised: 04/05/2023] [Accepted: 05/02/2023] [Indexed: 11/23/2023] Open
Abstract
AIMS The prevalence of advanced heart failure (HF) is increasing due to the growing number of patients with HF and their better treatment and survival. There is a scarcity of data on the accuracy of HF web-based risk scores in this selected population. This study aimed to assess mortality prediction performance of the Meta-Analysis Global Group in Chronic HF (MAGGIC-HF) risk score and the model of the Barcelona Bio-HF Risk Calculator (BCN-Bio-HF) containing N terminal pro brain natriuretic peptide in HF patients receiving intermittent inotropic support with levosimendan as destination therapy. METHODS AND RESULTS Four hundred and three advanced HF patients from 23 tertiary hospitals in Spain receiving intermittent inotropic support with levosimendan as destination therapy were included. Discrimination for all-cause mortality was compared by area under the curve (AUC) and Harrell's C-statistic at 1 year. Calibration was assessed by calibration plots comparing observed versus expected events based on estimated risk by each calculator. The included patients were predominantly men, aged 71.5 [interquartile range 64-78] years, with reduced left ventricular ejection fraction (27.5 ± 9.4%); ischaemic heart disease was the most prevalent aetiology (52.5%). Death rate at 1 year was 26.8%, while the predicted 1-year mortality by BCN-Bio-HF and MAGGIC-HF was 17.0% and 22.1%, respectively. BCN-Bio-HF AUC was 0.66 (Harrell's C-statistic 0.64), and MAGGIC-HF AUC was 0.62 (Harrell's C-statistic 0.61). CONCLUSIONS The two evaluated risk scores showed suboptimal discrimination and calibration with an underestimation of risk in advanced HF patients receiving levosimendan as destination therapy. There is a need for specific scores for advanced HF.
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Affiliation(s)
- Pau Codina
- Hospital Universitari Germans Trias i PujolBadalonaSpain
- Department of MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
| | - David Dobarro
- Hospital Álvaro Cunqueiro. Complexo Hospitalario Universitario de VigoVigoSpain
| | - Javier de Juan‐Bagudá
- Department of CardiologyUniversity Hospital 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)MadridSpain
- Department of Medicine, Faculty of Biomedical and Health ScienceUniversidad Europea de MadridMadridSpain
- CIBERCV, Instituto de Salud Carlos IIIMadridSpain
| | - Fernando De Frutos
- Department of Cardiology, Hospital Universitari de Bellvitge, BIOHEART‐Cardiovascular Diseases Research GroupBellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de LlobregatBarcelonaSpain
| | - Josep Lupón
- Hospital Universitari Germans Trias i PujolBadalonaSpain
- Department of MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
- CIBERCV, Instituto de Salud Carlos IIIMadridSpain
| | - Antoni Bayes‐Genis
- Hospital Universitari Germans Trias i PujolBadalonaSpain
- Department of MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
- CIBERCV, Instituto de Salud Carlos IIIMadridSpain
| | - José Gonzalez‐Costello
- CIBERCV, Instituto de Salud Carlos IIIMadridSpain
- Department of Cardiology, Hospital Universitari de Bellvitge, BIOHEART‐Cardiovascular Diseases Research GroupBellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de LlobregatBarcelonaSpain
- Department of Clinical Sciences, School of MedicineUniversitat de BarcelonaBarcelonaSpain
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12
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Tian P, Liang L, Zhao X, Huang B, Feng J, Huang L, Huang Y, Zhai M, Zhou Q, Zhang J, Zhang Y. Machine Learning for Mortality Prediction in Patients With Heart Failure With Mildly Reduced Ejection Fraction. J Am Heart Assoc 2023; 12:e029124. [PMID: 37301744 PMCID: PMC10356044 DOI: 10.1161/jaha.122.029124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 05/10/2023] [Indexed: 06/12/2023]
Abstract
Background Machine-learning-based prediction models (MLBPMs) have shown satisfactory performance in predicting clinical outcomes in patients with heart failure with reduced and preserved ejection fraction. However, their usefulness has yet to be fully elucidated in patients with heart failure with mildly reduced ejection fraction. This pilot study aims to evaluate the prediction performance of MLBPMs in a heart failure with mildly reduced ejection fraction cohort with long-term follow-up data. Methods and Results A total of 424 patients with heart failure with mildly reduced ejection fraction were enrolled in our study. The primary outcome was all-cause mortality. Two feature selection strategies were introduced for MLBPM development. The "All-in" (67 features) strategy was based on feature correlation, multicollinearity, and clinical significance. The other strategy was the CoxBoost algorithm with 10-fold cross-validation (17 features), which was based on the selection result of the "All-in" strategy. Six MLBPMs with 5-fold cross-validation based on the "All-in" and the CoxBoost algorithm with 10-fold cross-validation strategy were developed by the eXtreme Gradient Boosting, random forest, and support vector machine algorithms. The logistic regression model with 14 benchmark predictors was used as a reference model. During a median follow-up of 1008 (750, 1937) days, 121 patients met the primary outcome. Overall, MLBPMs outperformed the logistic model. The "All-in" eXtreme Gradient Boosting model had the best performance, with an accuracy of 85.4% and a precision of 70.3%. The area under the receiver-operating characteristic curve was 0.916 (95% CI, 0.887-0.945). The Brier score was 0.12. Conclusions The MLBPMs could significantly improve outcome prediction in patients with heart failure with mildly reduced ejection fraction, which would further optimize the management of these patients.
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Affiliation(s)
- Pengchao Tian
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Lin Liang
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Xuemei Zhao
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Boping Huang
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Jiayu Feng
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Liyan Huang
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Yan Huang
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Mei Zhai
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Qiong Zhou
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
| | - Jian Zhang
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
- Key Laboratory of Clinical Research for Cardiovascular Medications, National Health CommitteeBeijingChina
| | - Yuhui Zhang
- Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science, Peking Union Medical CollegeBeijingChina
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13
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Pezzuto B, Piepoli M, Galotta A, Sciomer S, Zaffalon D, Filomena D, Vignati C, Contini M, Alimento M, Baracchini N, Apostolo A, Palermo P, Mapelli M, Salvioni E, Carriere C, Merlo M, Papa S, Campodonico J, Badagliacca R, Sinagra G, Agostoni P. The importance of re-evaluating the risk score in heart failure patients: An analysis from the Metabolic Exercise Cardiac Kidney Indexes (MECKI) score database. Int J Cardiol 2023; 376:90-96. [PMID: 36716972 DOI: 10.1016/j.ijcard.2023.01.069] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 01/23/2023] [Indexed: 01/28/2023]
Abstract
BACKGROUND The role of risk scores in heart failure (HF) management has been highlighted by international guidelines. In contrast with HF, which is intrinsically a dynamic and unstable syndrome, all its prognostic studies have been based on a single evaluation. We investigated whether time-related changes of a well-recognized risk score, the MECKI score, added prognostic value. MECKI score is based on peak VO2, VE/VCO2 slope, Na+, LVEF, MDRD and Hb. METHODS A multi-centre retrospective study was conducted involving 660 patients who performed MECKI re-evaluation at least 6 months apart. Based on the difference between II and I evaluation of MECKI values (MECKI II - MECKI I = ∆ MECKI) the study population was divided in 2 groups: those presenting a score reduction (∆ MECKI <0, i.e. clinical improvement), vs. patients presenting an increase (∆ MECKI >0, clinical deterioration). RESULTS The prognostic value of MECKI score is confirmed also when re-assessed during follow-up. The group with improved MECKI (366 patients) showed a better prognosis compared to patients with worsened MECKI (294 patients) (p < 0.0001). At 1st evaluation, the two groups differentiated by LVEF, VE/VCO2 slope and blood Na+ concentration, while at 2nd evaluation they differentiated in all 6 parameters considered in the score. The patients who improved MECKI score, improved in all components of the score but hemoglobin, while patients who worsened the score, worsened all parameters. CONCLUSIONS This study shows that re-assessment of MECKI score identifies HF subjects at higher risk and that score improvement or deterioration regards several MECKI score generating parameters confirming the holistic background of HF.
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Affiliation(s)
- Beatrice Pezzuto
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Massimo Piepoli
- Department of Preventive Cardiology, Wroclaw Medical University, Wroclaw, Poland; Department for Biomedical Sciences for Health, University of Milan, Italy
| | - Arianna Galotta
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Susanna Sciomer
- Department of Cardiovascular and Respiratory Sciences, Sapienza University of Rome, Italy
| | - Denise Zaffalon
- Cardiothoracovascular Department of Trieste, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Italy
| | - Domenico Filomena
- Department of Cardiovascular and Respiratory Sciences, Sapienza University of Rome, Italy
| | - Carlo Vignati
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Mauro Contini
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Marina Alimento
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Nikita Baracchini
- Cardiothoracovascular Department of Trieste, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Italy
| | - Anna Apostolo
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Pietro Palermo
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Massimo Mapelli
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Elisabetta Salvioni
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Cosimo Carriere
- Cardiothoracovascular Department of Trieste, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Italy
| | - Marco Merlo
- Cardiothoracovascular Department of Trieste, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Italy; Member of ERN GUARD-Heart
| | - Silvia Papa
- Department of Cardiovascular and Respiratory Sciences, Sapienza University of Rome, Italy
| | - Jeness Campodonico
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy
| | - Roberto Badagliacca
- Department of Cardiovascular and Respiratory Sciences, Sapienza University of Rome, Italy
| | - Gianfranco Sinagra
- Cardiothoracovascular Department of Trieste, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI) and University of Trieste, Italy; Member of ERN GUARD-Heart
| | - Piergiuseppe Agostoni
- Centro Cardiologico Monzino, IRCCS, Heart Failure Unit, Via Carlo Parea, 4, 20138 Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
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14
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Codina P, Lupón J, Subirana I, Zamora E, Domingo M, Santiago-Vacas E, Cediel G, Borrellas A, Barallat J, Bayes-Genis A. Barcelona Bio-HF calculator version 3.0: recalibration and incorporation of sodium-glucose cotransporter 2 inhibitor treatment. Eur J Heart Fail 2023; 25:131-132. [PMID: 36519628 DOI: 10.1002/ejhf.2752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/03/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Pau Codina
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Josep Lupón
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Isaac Subirana
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Elisabet Zamora
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Mar Domingo
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | | | - Germán Cediel
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Andrea Borrellas
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Jaume Barallat
- Biochemistry Service, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Antoni Bayes-Genis
- Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
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15
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Peng S, Huang J, Liu X, Deng J, Sun C, Tang J, Chen H, Cao W, Wang W, Duan X, Luo X, Peng S. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases. Front Cardiovasc Med 2022; 9:994359. [PMID: 36312291 PMCID: PMC9597462 DOI: 10.3389/fcvm.2022.994359] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/15/2022] [Indexed: 11/13/2022] Open
Abstract
Background Heart failure (HF) combined with hypertension is an extremely important cause of in-hospital mortality, especially for the intensive care unit (ICU) patients. However, under intense working pressure, the medical staff are easily overwhelmed by the large number of clinical signals generated in the ICU, which may lead to treatment delay, sub-optimal care, or even wrong clinical decisions. Individual risk stratification is an essential strategy for managing ICU patients with HF combined with hypertension. Artificial intelligence, especially machine learning (ML), can develop superior models to predict the prognosis of these patients. This study aimed to develop a machine learning method to predict the 28-day mortality for ICU patients with HF combined with hypertension. Methods We enrolled all critically ill patients with HF combined with hypertension in the Medical Information Mart for IntensiveCare Database-IV (MIMIC-IV, v.1.4) and the eICU Collaborative Research Database (eICU-CRD) from 2008 to 2019. Subsequently, MIMIC-IV was divided into training cohort and testing cohort in an 8:2 ratio, and eICU-CRD was designated as the external validation cohort. The least absolute shrinkage and selection operator (LASSO) Cox regression with internal tenfold cross-validation was used for data dimension reduction and identifying the most valuable predictive features for 28-day mortality. Based on its accuracy and area under the curve (AUC), the best model in the validation cohort was selected. In addition, we utilized the Shapley Additive Explanations (SHAP) method to highlight the importance of model features, analyze the impact of individual features on model output, and visualize an individual’s Shapley values. Results A total of 3,458 and 6582 patients with HF combined with hypertension in MIMIC-IV and eICU-CRD were included. The patients, including 1,756 males, had a median (Q1, Q3) age of 75 (65, 84) years. After selection, 22 out of a total of 58 clinical parameters were extracted to develop the machine-learning models. Among four constructed models, the Neural Networks (NN) model performed the best predictive performance with an AUC of 0.764 and 0.674 in the test cohort and external validation cohort, respectively. In addition, a simplified model including seven variables was built based on NN, which also had good predictive performance (AUC: 0.741). Feature importance analysis showed that age, mechanical ventilation (MECHVENT), chloride, bun, anion gap, paraplegia, rdw (RDW), hyperlipidemia, peripheral capillary oxygen saturation (SpO2), respiratory rate, cerebrovascular disease, heart rate, white blood cell (WBC), international normalized ratio (INR), mean corpuscular hemoglobin concentration (MCHC), glucose, AIDS, mean corpuscular volume (MCV), N-terminal pro-brain natriuretic peptide (Npro. BNP), calcium, renal replacement therapy (RRT), and partial thromboplastin time (PTT) were the top 22 features of the NN model with the greatest impact. Finally, after hyperparameter optimization, SHAP plots were employed to make the NN-based model interpretable with an analytical description of how the constructed model visualizes the prediction of death. Conclusion We developed a predictive model to predict the 28-day mortality for ICU patients with HF combined with hypertension, which proved superior to the traditional logistic regression analysis. The SHAP method enables machine learning models to be more interpretable, thereby helping clinicians to better understand the reasoning behind the outcome and assess in-hospital outcomes for critically ill patients.
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Affiliation(s)
- Shengxian Peng
- Scientific Research Department, First People’s Hospital of Zigong City, Zigong, China
| | - Jian Huang
- Graduate School, Guangxi University of Chinese Medicine, Nanning, China
| | - Xiaozhu Liu
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiewen Deng
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States
| | - Juan Tang
- Scientific Research Department, First People’s Hospital of Zigong City, Zigong, China
| | - Huaqiao Chen
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenzhai Cao
- Department of Cardiology, First People’s Hospital of Zigong City, Zigong, China
| | - Wei Wang
- Department of Cardiology, First People’s Hospital of Zigong City, Zigong, China,Information Department, First People’s Hospital of Zigong City, Zigong, China
| | - Xiangjie Duan
- Department of Infectious Diseases, The First People’s Hospital of Changde City, Changde, China
| | - Xianglin Luo
- Information Department, First People’s Hospital of Zigong City, Zigong, China
| | - Shuang Peng
- General Affairs Section, The People’s Hospital of Tongnan District, Chongqing, China,*Correspondence: Shuang Peng,
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Burton T, Ramchandani S, Bhavnani SP, Khedraki R, Cohoon TJ, Stuckey TD, Steuter JA, Meine FJ, Bennett BA, Carroll WS, Lange E, Fathieh F, Khosousi A, Rabbat M, Sanders WE. Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data. Front Cardiovasc Med 2022; 9:980625. [PMID: 36211581 PMCID: PMC9539436 DOI: 10.3389/fcvm.2022.980625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Elevated left ventricular end diastolic pressure (LVEDP) is a consequence of compromised left ventricular compliance and an important measure of myocardial dysfunction. An algorithm was developed to predict elevated LVEDP utilizing electro-mechanical (EM) waveform features. We examined the hierarchical clustering of selected features developed from these EM waveforms in order to identify important patient subgroups and assess their possible prognostic significance. Materials and methods Patients presenting with cardiovascular symptoms (N = 396) underwent EM data collection and direct LVEDP measurement by left heart catheterization. LVEDP was classified as non-elevated ( ≤ 12 mmHg) or elevated (≥25 mmHg). The 30 most contributive features to the algorithm output were extracted from EM data and input to an unsupervised hierarchical clustering algorithm. The resultant dendrogram was divided into five clusters, and patient metadata overlaid. Results The cluster with highest LVEDP (cluster 1) was most dissimilar from the lowest LVEDP cluster (cluster 5) in both clustering and with respect to clinical characteristics. In contrast to the cluster demonstrating the highest percentage of elevated LVEDP patients, the lowest was predominantly non-elevated LVEDP, younger, lower BMI, and males with a higher rate of significant coronary artery disease (CAD). The next adjacent cluster (cluster 2) to that of the highest LVEDP (cluster 1) had the second lowest LVEDP of all clusters. Cluster 2 differed from Cluster 1 primarily based on features extracted from the electrical data, and those that quantified predictability and variability of the signal. There was a low predictability and high variability in the highest LVEDP cluster 1, and the opposite in adjacent cluster 2. Conclusion This analysis identified subgroups of patients with varying degrees of LVEDP elevation based on waveform features. An approach to stratify movement between clusters and possible progression of myocardial dysfunction may include changes in features that differentiate clusters; specifically, reductions in electrical signal predictability and increases in variability. Identification of phenotypes of myocardial dysfunction evidenced by elevated LVEDP and knowledge of factors promoting transition to clusters with higher levels of left ventricular filling pressures could permit early risk stratification and improve patient selection for novel therapeutic interventions.
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Affiliation(s)
- Timothy Burton
- CorVista Health (Analytics For Life Inc., d.b.a CorVista Health) Toronto, Toronto, ON, Canada
| | - Shyam Ramchandani
- CorVista Health (Analytics For Life Inc., d.b.a CorVista Health) Toronto, Toronto, ON, Canada
| | | | - Rola Khedraki
- Scripps Clinic Division of Cardiology, San Diego, CA, United States
| | - Travis J. Cohoon
- Scripps Clinic Division of Cardiology, San Diego, CA, United States
| | - Thomas D. Stuckey
- Cone Health Heart and Vascular Center, Greensboro, NC, United States
| | | | - Frederick J. Meine
- Novant Health New Hanover Regional Medical Center, Wilmington, NC, United States
| | | | | | - Emmanuel Lange
- CorVista Health (Analytics For Life Inc., d.b.a CorVista Health) Toronto, Toronto, ON, Canada
| | - Farhad Fathieh
- CorVista Health (Analytics For Life Inc., d.b.a CorVista Health) Toronto, Toronto, ON, Canada
| | - Ali Khosousi
- CorVista Health (Analytics For Life Inc., d.b.a CorVista Health) Toronto, Toronto, ON, Canada
| | - Mark Rabbat
- Division of Cardiology, Loyola University Medical Center, Maywood, IL, United States
| | - William E. Sanders
- CorVista Health, Inc., Washington, DC, United States
- University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Maestro-Benedicto A, Rivas-Lasarte M, Fernández-Martínez J, López-López L, Solé-González E, Brossa V, Mirabet S, Roig E, Cinca J, Álvarez-García J, Sionis A. Incremental prognostic value of lung ultrasound on contemporary heart failure risk scores. Front Physiol 2022; 13:1006589. [PMID: 36187763 PMCID: PMC9515571 DOI: 10.3389/fphys.2022.1006589] [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: 07/29/2022] [Accepted: 08/24/2022] [Indexed: 12/05/2022] Open
Abstract
Introduction: Over the last decades, several scores have been developed to aid clinicians in assessing prognosis in patients with heart failure (HF) based on clinical data, medications and, ultimately, biomarkers. Lung ultrasound (LUS) has emerged as a promising prognostic tool for patients when assessed at discharge after a HF hospitalization. We hypothesized that contemporary HF risk scores can be improved upon by the inclusion of the number of B-lines detected by LUS at discharge to predict death, urgent visit, or HF readmission at 6- month follow-up. Methods: We evaluated the discrimination improvement of adding the number of B-lines to 4 contemporary HF risk scores (Get with the Guidelines -GWTG-, MAGGIC, Redin-SCORE, and BCN Bio-HF) by comparing the change in the area under the receiver operating curve (AUC), the net reclassification index (NRI), and the integrated discrimination improvement (IDI). The population of the study was constituted by the 123 patients enrolled in the LUS-HF trial, adjusting the analyses by the intervention. Results: The AUC of the GWTG score increased from 0.682 to 0.789 (p = 0.02), resulting in a NRI of 0.608 and an IDI of 0.136 (p < 0.05). Similar results were observed when adding the number of B-lines to the MAGGIC score, with an AUC that increased from 0.705 to 0.787 (p < 0.05). This increase translated into a NRI of 0.608 and an IDI of 0.038 (p < 0.05). Regarding Redin-SCORE at 1-month and 1-year, the AUC increased from 0.714 to 0.773 and from 0.681 to 0.757, although it did not reach statistical significance (p = 0.08 and p = 0.06 respectively). Both IDI and NRI were significantly improved (0.093 and 0.509 in the 1-month score, p < 0.05; 0.056 and 0.111 in the 1-year score, p < 0.05). Lastly, the AUC for the BCN Bio-HF score increased from 0.733 to 0.772, which was statistically non-significant, with a NRI value of 0.363 (p = 0.06) and an IDI of 0.092 (p < 0.05). Conclusion: Adding the results of LUS evaluated at discharge improved the predictive value of most of the contemporary HF risk scores. As it is a simple, fast, and non-invasive test it may be recommended to assess prognosis at discharge in HF patients.
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Affiliation(s)
- Alba Maestro-Benedicto
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Mercedes Rivas-Lasarte
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
- Cardiology Department, Hospital Universitario Puerta de Hierro CIBERCV, Majadahonda Madrid, Spain
- *Correspondence: Mercedes Rivas-Lasarte,
| | - Juan Fernández-Martínez
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Laura López-López
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Eduard Solé-González
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
- Cardiology Department, Hospital Clinic, Barcelona, Spain
| | - Vicens Brossa
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Sonia Mirabet
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Eulàlia Roig
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Juan Cinca
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
| | - Jesús Álvarez-García
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
- Cardiology Department, Hospital Universitario Ramón y Cajal CIBERCV, Madrid, Spain
| | - Alessandro Sionis
- Cardiology Department, IIB SANT PAU, Hospital de la Santa Creu i Sant Pau CIBERCV, Barcelona, Spain
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Evaluation of new and old biomarkers in dogs with degenerative mitral valve disease. BMC Vet Res 2022; 18:256. [PMID: 35780161 PMCID: PMC9250216 DOI: 10.1186/s12917-022-03343-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/06/2022] [Indexed: 11/10/2022] Open
Abstract
Background Dogs with degenerative mitral valve disease are commonly presented to small animal clinicians. Diagnosis, clinical staging, and therapeutic design are based on a combination of clinical examination, radiography, and echocardiography. To support diagnosis and clinical monitoring, a multi-marker-based approach would be conceivable. The aim of this study was to investigate the suitability of Galectin-3 and interleukin-1 receptor-like 1 protein (ST2) in dogs with degenerative mitral valve disease in accordance with N-terminal-prohormone-B-type natriuretic peptide (NT-proBNP) and cardiac troponin I (cTnI). For this purpose, serum concentrations of Galectin-3 and ST2 of 64 dogs with different stages of mitral valve disease and 21 dogs without cardiac disease were analyzed at the first examination and six months later. Echocardiography, blood cell count and clinical chemistry were performed and established biomarkers NT-proBNP and cTnI were measured additionally. Differences in the biomarker concentrations between all groups at both timepoints and the change in biomarker concentrations from first to second evaluation was investigated. Furthermore, correlations of each biomarker, between biomarkers and echocardiographic measurements, were calculated. Finally, the receiver-operating characteristic curve and the area under the curve analysis were performed to differentiate between disease stages and controls. Results Serum concentrations of Galectin-3 and ST2 were not statistically different between canine patients in the respective stages of mitral valve disease or in comparison to dogs in the control group at any timepoint. A significant increase in ST2 concentrations from the baseline to the follow-up examination was observed in dogs classified as stage B1 and the control group. The concentrations of NT-proBNP and cTnI in stage C dogs were significantly increased in comparison to the other groups. Conclusions In this study, no relation between Galectin-3 and ST2 levels to the presence or stage of mitral valve disease could be detected. Nevertheless, considering the increase in ST2 concentrations from the first to second measurement, its value on monitoring disease progress could be feasible. In agreement with previous studies, NT-proBNP and cTnI have once more proven their utility in assessing disease severity. The approach of examining new cardiac biomarkers in dogs is still worth pursuing.
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Abstract
Natriuretic peptides have been at the forefront of biomarker use in heart disease and have been universally recommended as the ideal biomarker in the setting of heart failure. Soluble ST2 is one such biomarker which has found value as a prognostic marker and can be used individually or along with natriuretic peptides in order to prognosticate patients with heart failure. Leading cardiovascular organisations have recognised this biomarker, though its role as a diagnostic marker is yet to be determined. We aim to investigate the role of sST2 in heart failure in the existing literature.
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20
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Del Rio-Pertuz G, Benjanuwattra J, Juarez M, Triana AJ, Argueta-Sosa E. Meta-Analysis Evaluating H 2FPEF Score as a Prognostic Tool to Predict Mortality and Heart Failure-Related Hospitalization in Adults With Normal Left Ventricular Ejection Fraction and Dyspnea. Am J Cardiol 2022; 173:154-157. [PMID: 35459460 DOI: 10.1016/j.amjcard.2022.03.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 03/29/2022] [Indexed: 01/14/2023]
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21
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Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores. Life (Basel) 2022; 12:life12050749. [PMID: 35629415 PMCID: PMC9147139 DOI: 10.3390/life12050749] [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: 05/06/2022] [Accepted: 05/12/2022] [Indexed: 11/16/2022] Open
Abstract
Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.
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22
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The Utility of Pentraxin and Modified Prognostic Scales in Predicting Outcomes of Patients with End-Stage Heart Failure. J Clin Med 2022; 11:jcm11092567. [PMID: 35566693 PMCID: PMC9099900 DOI: 10.3390/jcm11092567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 04/23/2022] [Accepted: 04/29/2022] [Indexed: 12/10/2022] Open
Abstract
Risk stratification is an important element of management in patients with heart failure (HF). We aimed to determine factors associated with predicting outcomes in end-stage HF patients listed for heart transplantation (HT), with particular emphasis placed on pentraxin-3 (PXT-3). In addition, we investigated whether the combination of PTX-3 with the Heart Failure Survival Score (HFSS), the Seattle Heart Failure Model (SHFM), or the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) improved the prognostic strength of these scales in the study population. We conducted a prospective analysis of 343 outpatients with end-stage HF who accepted the HT waiting list between 2015 and 2018. HFSS, SHFM, and MAGGIC scores were calculated for all patients. PTX3 was measured by sandwich enzyme-linked immunosorbent assay with a commercially available kit. The endpoints were death, left ventricular assist device implantation, and HT during the one-year follow-up. The median age was 56 (50−60) years, and 86.6% were male. During the follow-up period, 173 patients reached the endpoint. Independent risk factors associated with outcomes were ischemic etiology of HF [HR 1.731 (1.227−2.441), p = 0.0018], mean arterial pressure (MAP) [1.026 (1.010−1.042), p = 0.0011], body mass index (BMI) [1.055 (1.014−1.098), p = 0.0083], sodium [1.056 [(1.007−1.109), p = 0.0244] PTX-3 [1.187 (1.126−1.251, p < 0.0001) and N-terminal pro-brain natriuretic peptide (NT-proBNP) [HR 1.004 (1.000−1.008), p = 0.0259]. The HFSS-PTX-3, SHFM-PTX-3 and MAGGIC-PTX-3 scores had significantly higher predictive power [AUC = 0.951, AUC = 0.973; AUC = 0.956, respectively] than original scores [AUC for HFSS = 0.8481, AUC for SHFM = 0.7976, AUC for MAGGIC = 0.7491]. Higher PTX-3 and NT-proBNP concentrations, lower sodium concentrations, lower MAP and BMI levels, and ischemic etiology of HF are associated with worse outcomes in patients with end-stage HF. The modified SHFM-PTX-3, HFSS-PTX-3, and MAGGIC-PTX-3 scores provide effective methods of assessing the outcomes in the analyzed group.
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Codina P, Zamora E, Levy WC, Revuelta-López E, Borrellas A, Spitaleri G, Cediel G, Ruiz-Cueto M, Cañedo E, Santiago-Vacas E, Domingo M, Buchaca D, Subirana I, Santesmases J, de la Espriella R, Nuñez J, Lupón J, Bayes-Genis A. Mortality Risk Prediction Dynamics After Heart Failure Treatment Optimization: Repeat Risk Assessment Using Online Risk Calculators. Front Cardiovasc Med 2022; 9:836451. [PMID: 35498033 PMCID: PMC9039357 DOI: 10.3389/fcvm.2022.836451] [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: 12/15/2021] [Accepted: 03/22/2022] [Indexed: 11/19/2022] Open
Abstract
Objectives Heart failure (HF) management has significantly improved over the past two decades, leading to better survival. This study aimed to assess changes in predicted mortality risk after 12 months of management in a multidisciplinary HF clinic. Materials and Methods Out of 1,032 consecutive HF outpatients admitted from March-2012 to November-2018, 357 completed the 12-months follow-up and had N-terminal pro-B-type natriuretic peptide (NTproBNP), high sensitivity troponin T (hs-TnT), and interleukin-1 receptor-like-1 (known as ST2) measurements available both at baseline and follow-up. Three contemporary risk scores were used: MAGGIC-HF, Seattle HF Model (SHFM), and the Barcelona Bio-HF (BCN Bio-HF) calculator, which incorporates the three above mentioned biomarkers. The predicted risk of all-cause death at 1 and 3 years was calculated at baseline and re-evaluated after 12 months. Results A significant decline in predicted 1-and 3-year mortality risk was observed at 12 months: MAGGIC ~16%, SHFM ~22% and BCN Bio-HF ~15%. In the HF with reduced ejection fraction (HFrEF) subgroup guideline-directed medical therapy led to a complete normalization of left ventricular ejection fraction (≥50%) in almost a third of the patients and to a partial normalization (41–49%) in 30% of them. Repeated risk assessment after 12 months with SHFM and BCN Bio-HF provided adequate discrimination for all-cause 3-year mortality (C-Index: MAGGIC-HF 0.762, SHFM 0.781 and BCN Bio-HF 0.791). Conclusion Mortality risk declines in patients with HF managed for 12 months in a multidisciplinary HF clinic. Repeating the mortality risk assessment after optimizing the HF treatment is recommended, particularly in the HFrEF subgroup.
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Affiliation(s)
- Pau Codina
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Elisabet Zamora
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Wayne C. Levy
- UW Medicine Heart Institute, University of Washington, Seattle, WA, United States
| | - Elena Revuelta-López
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- Heart Failure and Cardiac Regeneration (ICREC) Research Program, Health Science Research Institute Germans Trias i Pujol (IGTP), Badalona, Spain
| | - Andrea Borrellas
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Giosafat Spitaleri
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Germán Cediel
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - María Ruiz-Cueto
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Elena Cañedo
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Evelyn Santiago-Vacas
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Mar Domingo
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Isaac Subirana
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Javier Santesmases
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Rafael de la Espriella
- Cardiology Department, Hospital Clínico Universitario, Fundación para la Investigación del Hospital Clínico de la Comunidad Valenciana (INCLIVA), Valencia, Spain
| | - Julio Nuñez
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- Cardiology Department, Hospital Clínico Universitario, Fundación para la Investigación del Hospital Clínico de la Comunidad Valenciana (INCLIVA), Valencia, Spain
- Department of Medicine, Universidad de Valencia, Valencia, Spain
| | - Josep Lupón
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Antoni Bayes-Genis
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- *Correspondence: Antoni Bayes-Genis
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Pour-Ghaz I, Heckle M, Ifedili I, Kayali S, Nance C, Kabra R, Jha SK, Jefferies JL, Levine YC. Beyond Ejection Fraction: Novel Clinical Approaches Towards Sudden Cardiac Death Risk Stratification in Patients with Dilated Cardiomyopathy. Curr Cardiol Rev 2022; 18:e040821195265. [PMID: 34348632 PMCID: PMC9413734 DOI: 10.2174/1573403x17666210804125939] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 03/16/2021] [Accepted: 04/21/2021] [Indexed: 11/22/2022] Open
Abstract
Implantable Cardioverter-Defibrillator (ICD) therapy is indicated for patients at risk for sudden cardiac death due to ventricular tachyarrhythmia. The most commonly used risk stratification algorithms use Left Ventricular Ejection Fraction (LVEF) to determine which patients qualify for ICD therapy, even though LVEF is a better marker of total mortality than ventricular tachyarrhythmias mortality. This review evaluates imaging tools and novel biomarkers proposed for better risk stratifying arrhythmic substrate, thereby identifying optimal ICD therapy candidates.
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Affiliation(s)
- Issa Pour-Ghaz
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mark Heckle
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ikechukwu Ifedili
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Sharif Kayali
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Christopher Nance
- Department of Internal Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Rajesh Kabra
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA.,Methodist Le Bonheur Healthcare, Memphis, TN, USA
| | - Sunil K Jha
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA.,Methodist Le Bonheur Healthcare, Memphis, TN, USA
| | - John L Jefferies
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA.,Methodist Le Bonheur Healthcare, Memphis, TN, USA
| | - Yehoshua C Levine
- Department of Internal Medicine, Division of Cardiovascular Diseases, University of Tennessee Health Science Center, Memphis, TN, USA.,Methodist Le Bonheur Healthcare, Memphis, TN, USA
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25
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Álvarez-García J, García-Osuna Á, Vives-Borrás M, Ferrero-Gregori A, Martínez-Sellés M, Vázquez R, González-Juanatey JR, Rivera M, Segovia J, Pascual-Figal D, Bover R, Bascompte R, Delgado J, Grau Sepúlveda A, Bardají A, Pérez-Villa F, Zamorano JL, Crespo-Leiro M, Sánchez PL, Ordoñez-Llanos J, Cinca J. A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure. Front Physiol 2021; 12:708890. [PMID: 34744758 PMCID: PMC8569896 DOI: 10.3389/fphys.2021.708890] [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: 05/12/2021] [Accepted: 10/04/2021] [Indexed: 01/02/2023] Open
Abstract
Introduction and Objectives: Most multi-biomarker strategies in acute heart failure (HF) have only measured biomarkers in a single-point time. This study aimed to evaluate the prognostic yielding of NT-proBNP, hsTnT, Cys-C, hs-CRP, GDF15, and GAL-3 in HF patients both at admission and discharge. Methods: We included 830 patients enrolled consecutively in a prospective multicenter registry. Primary outcome was 12-month mortality. The gain in the C-index, calibration, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) was calculated after adding each individual biomarker value or their combination on top of the best clinical model developed in this study (C-index 0.752, 0.715-0.789) and also on top of 4 currently used scores (MAGGIC, GWTG-HF, Redin-SCORE, BCN-bioHF). Results: After 12-month, death occurred in 154 (18.5%) cases. On top of the best clinical model, the addition of NT-proBNP, hs-CRP, and GDF-15 above the respective cutoff point at admission and discharge and their delta during compensation improved the C-index to 0.782 (0.747-0.817), IDI by 5% (p < 0.001), and NRI by 57% (p < 0.001) for 12-month mortality. A 4-risk grading categories for 12-month mortality (11.7, 19.2, 26.7, and 39.4%, respectively; p < 0.001) were obtained using combination of these biomarkers. Conclusion: A model including NT-proBNP, hs-CRP, and GDF-15 measured at admission and discharge afforded a mortality risk prediction greater than our clinical model and also better than the most currently used scores. In addition, this 3-biomarker panel defined 4-risk categories for 12-month mortality.
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Affiliation(s)
- Jesús Álvarez-García
- Cardiology Department, Hospital de la Santa Creu i Sant Pau, IIb-SantPau, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Barcelona, Spain.,Cardiology Department, Hospital Ramón y Cajal, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Álvaro García-Osuna
- Biochemistry Department, Hospital de la Santa Creu i Sant Pau, IIb-SantPau, Barcelona, Spain
| | - Miquel Vives-Borrás
- Cardiology Department, Hospital de la Santa Creu i Sant Pau, IIb-SantPau, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Barcelona, Spain
| | - Andreu Ferrero-Gregori
- Cardiology Department, Hospital de la Santa Creu i Sant Pau, IIb-SantPau, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Barcelona, Spain
| | - Manuel Martínez-Sellés
- Cardiology Department, Hospital Universitario Gregorio Marañón, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Rafael Vázquez
- Cardiology Department, Hospital Puerta del Mar, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Cádiz, Spain
| | - José R González-Juanatey
- Cardiology Department, Hospital Clínico, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Santiago de Compostela, Spain
| | - Miguel Rivera
- Cardiology Department, Hospital La Fe, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Valencia, Spain
| | - Javier Segovia
- Cardiology Department, Hospital Puerta de Hierro-Majadahonda, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Domingo Pascual-Figal
- Cardiology Department, Hospital Virgen de la Arrixaca, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Murcia, Spain
| | - Ramón Bover
- Cardiology Department, Hospital Clínico San Carlos, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Ramón Bascompte
- Cardiology Department, Hospital Arnau de Vilanova, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Lleida, Spain
| | - Juan Delgado
- Cardiology Department, Hospital 12 de Octubre, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Andrés Grau Sepúlveda
- Cardiology Department, Hospital Universitario Son Espases, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Palma de Mallorca, Spain
| | - Alfredo Bardají
- Cardiology Department, Hospital Juan XXIII, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Tarragona, Spain
| | - Félix Pérez-Villa
- Cardiology Department, Hospital Clinic, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Barcelona, Spain
| | - José Luis Zamorano
- Cardiology Department, Hospital Ramón y Cajal, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Marisa Crespo-Leiro
- Cardiology Department, Hospital Universitario A Coruna, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), A Coruna, Spain
| | - Pedro Luis Sánchez
- Cardiology Department, Hospital Clínico Universitario, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Salamanca, Spain
| | - Jordi Ordoñez-Llanos
- Biochemistry Department, Hospital de la Santa Creu i Sant Pau, IIb-SantPau, Barcelona, Spain
| | - Juan Cinca
- Cardiology Department, Hospital de la Santa Creu i Sant Pau, IIb-SantPau, Centro de Investigación en Red en Enfermedades Cardiovasculares (CIBERCV), Barcelona, Spain
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26
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Codina P, Lupón J, Borrellas A, Spitaleri G, Cediel G, Domingo M, Simpson J, Levy WC, Santiago-Vacas E, Zamora E, Buchaca D, Subirana I, Santesmases J, Diez-Quevedo C, Troya MI, Boldo M, Altmir S, Alonso N, González B, Rivas C, Nuñez J, McMurray J, Bayes-Genis A. Head-to-head comparison of contemporary heart failure risk scores. Eur J Heart Fail 2021; 23:2035-2044. [PMID: 34558158 DOI: 10.1002/ejhf.2352] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 09/14/2021] [Accepted: 09/20/2021] [Indexed: 12/28/2022] Open
Abstract
AIMS Several heart failure (HF) web-based risk scores are currently used in clinical practice. Currently, we lack head-to-head comparison of the accuracy of risk scores. This study aimed to assess correlation and mortality prediction performance of Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC-HF) risk score, which includes clinical variables + medications; Seattle Heart Failure Model (SHFM), which includes clinical variables + treatments + analytes; PARADIGM Risk of Events and Death in the Contemporary Treatment of Heart Failure (PREDICT-HF) and Barcelona Bio-Heart Failure (BCN-Bio-HF) risk calculator, which also include biomarkers, like N-terminal pro B-type natriuretic peptide (NT-proBNP). METHODS AND RESULTS A total of 1166 consecutive patients with HF from different aetiologies that had NT-proBNP measurement at first visit were included. Discrimination for all-cause mortality was compared by Harrell's C-statistic from 1 to 5 years, when possible. Calibration was assessed by calibration plots and Hosmer-Lemeshow test and global performance by Nagelkerke's R2 . Correlation between scores was assessed by Spearman rank test. Correlation between the scores was relatively poor (rho value from 0.66 to 0.79). Discrimination analyses showed better results for 1-year mortality than for longer follow-up (SHFM 0.817, MAGGIC-HF 0.801, PREDICT-HF 0.799, BCN-Bio-HF 0.830). MAGGIC-HF showed the best calibration, BCN-Bio-HF overestimated risk while SHFM and PREDICT-HF underestimated it. BCN-Bio-HF provided the best discrimination and overall performance at every time-point. CONCLUSIONS None of the contemporary risk scores examined showed a clear superiority over the rest. BCN-Bio-HF calculator provided the best discrimination and overall performance with overestimation of risk. MAGGIC-HF showed the best calibration, and SHFM and PREDICT-HF tended to underestimate risk. Regular updating and recalibration of online web calculators seems necessary to improve their accuracy as HF management evolves at unprecedented pace.
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Affiliation(s)
- Pau Codina
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Josep Lupón
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Andrea Borrellas
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Giosafat Spitaleri
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Germán Cediel
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Mar Domingo
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Joanne Simpson
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Wayne C Levy
- UW Medicine Heart Institute, University of Washington, Seattle, WA, USA
| | - Evelyn Santiago-Vacas
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Elisabet Zamora
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Isaac Subirana
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Javier Santesmases
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Crisanto Diez-Quevedo
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Maria I Troya
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Maria Boldo
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Salvador Altmir
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Nuria Alonso
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Beatriz González
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Carmen Rivas
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Julio Nuñez
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,Cardiology Department. Hospital Clínico Universitario, INCLIVA Valencia, Valencia, Spain.,Departament of Medicine, Universidad de Valencia, Valencia, Spain
| | - John McMurray
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Antoni Bayes-Genis
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
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27
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Li F, Xin H, Zhang J, Fu M, Zhou J, Lian Z. Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ Open 2021; 11:e044779. [PMID: 34301649 PMCID: PMC8311359 DOI: 10.1136/bmjopen-2020-044779] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE The predictors of in-hospital mortality for intensive care units (ICUs)-admitted heart failure (HF) patients remain poorly characterised. We aimed to develop and validate a prediction model for all-cause in-hospital mortality among ICU-admitted HF patients. DESIGN A retrospective cohort study. SETTING AND PARTICIPANTS Data were extracted from the Medical Information Mart for Intensive Care (MIMIC-III) database. Data on 1177 heart failure patients were analysed. METHODS Patients meeting the inclusion criteria were identified from the MIMIC-III database and randomly divided into derivation (n=825, 70%) and a validation (n=352, 30%) group. Independent risk factors for in-hospital mortality were screened using the extreme gradient boosting (XGBoost) and the least absolute shrinkage and selection operator (LASSO) regression models in the derivation sample. Multivariate logistic regression analysis was used to build prediction models in derivation group, and then validated in validation cohort. Discrimination, calibration and clinical usefulness of the predicting model were assessed using the C-index, calibration plot and decision curve analysis. After pairwise comparison, the best performing model was chosen to build a nomogram according to the regression coefficients. RESULTS Among the 1177 admissions, in-hospital mortality was 13.52%. In both groups, the XGBoost, LASSO regression and Get With the Guidelines-Heart Failure (GWTG-HF) risk score models showed acceptable discrimination. The XGBoost and LASSO regression models also showed good calibration. In pairwise comparison, the prediction effectiveness was higher with the XGBoost and LASSO regression models than with the GWTG-HF risk score model (p<0.05). The XGBoost model was chosen as our final model for its more concise and wider net benefit threshold probability range and was presented as the nomogram. CONCLUSIONS Our nomogram enabled good prediction of in-hospital mortality in ICU-admitted HF patients, which may help clinical decision-making for such patients.
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Affiliation(s)
- Fuhai Li
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hui Xin
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jidong Zhang
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Mingqiang Fu
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jingmin Zhou
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhexun Lian
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China
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28
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Revuelta-López E, Barallat J, Cserkóová A, Gálvez-Montón C, Jaffe AS, Januzzi JL, Bayes-Genis A. Pre-analytical considerations in biomarker research: focus on cardiovascular disease. Clin Chem Lab Med 2021; 59:1747-1760. [PMID: 34225398 DOI: 10.1515/cclm-2021-0377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/28/2021] [Indexed: 12/13/2022]
Abstract
Clinical biomarker research is growing at a fast pace, particularly in the cardiovascular field, due to the demanding requirement to provide personalized precision medicine. The lack of a distinct molecular signature for each cardiovascular derangement results in a one-size-fits-all diagnostic and therapeutic approach, which may partially explain suboptimal outcomes in heterogeneous cardiovascular diseases (e.g., heart failure with preserved ejection fraction). A multidimensional approach using different biomarkers is quickly evolving, but it is necessary to consider pre-analytical variables, those to which a biological sample is subject before being analyzed, namely sample collection, handling, processing, and storage. Pre-analytical errors can induce systematic bias and imprecision, which may compromise research results, and are easy to avoid with an adequate study design. Academic clinicians and investigators must be aware of the basic considerations for biospecimen management and essential pre-analytical recommendations as lynchpin for biological material to provide efficient and valid data.
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Affiliation(s)
- Elena Revuelta-López
- Heart Failure Unit and Cardiology Department, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,Heart Failure and Cardiac Regeneration (ICREC) Research Program, Health Sciences Research Institute Germans Trias i Pujol (IGTP), Badalona, Barcelona, Spain
| | - Jaume Barallat
- Biochemistry Service, University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Adriana Cserkóová
- Heart Failure and Cardiac Regeneration (ICREC) Research Program, Health Sciences Research Institute Germans Trias i Pujol (IGTP), Badalona, Barcelona, Spain
| | - Carolina Gálvez-Montón
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,Heart Failure and Cardiac Regeneration (ICREC) Research Program, Health Sciences Research Institute Germans Trias i Pujol (IGTP), Badalona, Barcelona, Spain
| | - Allan S Jaffe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital Harvard Medical School, Harvard University, Boston, MA, USA
| | - Antoni Bayes-Genis
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,Heart Failure and Cardiac Regeneration (ICREC) Research Program, Health Sciences Research Institute Germans Trias i Pujol (IGTP), Badalona, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Heart Institute, Hospital Universitari Germans Trias i Pujol, Carretera de Canyet s/n, 08916 Badalona, Barcelona, Spain
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29
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Prognostic value of natriuretic peptides in heart failure: systematic review and meta-analysis. Heart Fail Rev 2021; 27:645-654. [PMID: 34227029 DOI: 10.1007/s10741-021-10136-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/24/2021] [Indexed: 12/11/2022]
Abstract
Risk models, informing optimal long-term medical management, seldom use natriuretic peptides (NP) in ascertaining the absolute risk of outcomes for HF patients. Individual studies evaluating the prognostic value of NPs in HF patients have reported varying effects, arriving at best estimates requires a systematic review. We systematically summarized the best evidence regarding the prognostic value of brain natriuretic peptide (BNP) and NT-proBNP in predicting mortality and hospitalizations in ambulatory heart failure (HF) patients. We searched bibliographic databases from 2005 to 2018 and included studies evaluating the association of BNP or NT-proBNP with mortality or hospitalization using multivariable Cox proportional hazard models. We pooled hazard ratios using random-effect models, explored heterogeneity using pre-specified subgroup analyses, and evaluated the certainty of evidence using the Grading of Recommendations and Development Evaluation framework. We identified 67 eligible studies reporting on 76,178 ambulatory HF patients with a median BNP of 407 pg/mL (261-574 pg/mL). Moderate to high-quality evidence showed that a 100-pg/mL increase in BNP was associated with a 14% increased hazard of mortality (HR 1.14, 95% CI 1.06-1.22); a 1-log-unit increase was associated with a 51% increased hazard of mortality (HR 1.51, 95% CI 1.41-1.61) and 48% increased hazard of mortality or hospitalization (HR 1.48, 95% CI 1.29-1.69). With moderate to high certainty, we observed a 14% independent relative increase in mortality, translating to a clinically meaningful increase in absolute risk even for low-risk patients. The observed associations may help in developing more accurate risk models that incorporate NPs and accurately prognosticate HF patients.
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30
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Anghel L, Sascău R, Zota IM, Stătescu C. Well-Known and Novel Serum Biomarkers for Risk Stratification of Patients with Non-ischemic Dilated Cardiomyopathy. Int J Mol Sci 2021; 22:5688. [PMID: 34073616 PMCID: PMC8198011 DOI: 10.3390/ijms22115688] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 05/14/2021] [Accepted: 05/26/2021] [Indexed: 01/02/2023] Open
Abstract
Non-ischemic dilated cardiomyopathy encompasses a wide spectrum of myocardial disorders, characterized by left ventricular dilatation with systolic impairment and increased risk of sudden cardiac death. In spite of all the therapeutic progress that has been made in recent years, dilated cardiomyopathy continues to be an important cause of cardiac transplant, being associated with an enormous cost burden for health care systems worldwide. Predicting the prognosis of patients with dilated cardiomyopathy is essential to individualize treatment. Late gadolinium enhancement-cardiac magnetic resonance imaging, microvolt T-wave alternans, and genetic testing have emerged as powerful tools in predicting sudden cardiac death occurrence and maximizing patient's selection. Despite all these new diagnostic modalities, additional tests to complement or replace current tools are required for better risk stratification. Therefore, biomarkers are an easy and important tool that can help to detect patients at risk of adverse cardiovascular events. Additionally, identifying potential biomarkers involved in dilated cardiomyopathy can provide us important information regarding the diagnostic, prognostic, risk stratification, and response to treatment for these patients. Many potential biomarkers have been studied in patients with dilated cardiomyopathy, but only a few have been adopted in current practice. Therefore, the aim of our review is to provide the clinicians with an update on the well-known and novel biomarkers that can be useful for risk stratification of patients with non-ischemic dilated cardiomyopathy.
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Affiliation(s)
- Larisa Anghel
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700503 Iași, Romania; (L.A.); (I.M.Z.); (C.S.)
- Cardiology Department, Cardiovascular Diseases Institute “Prof. Dr. George I. M. Georgescu”, 700503 Iași, Romania
| | - Radu Sascău
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700503 Iași, Romania; (L.A.); (I.M.Z.); (C.S.)
- Cardiology Department, Cardiovascular Diseases Institute “Prof. Dr. George I. M. Georgescu”, 700503 Iași, Romania
| | - Ioana Mădălina Zota
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700503 Iași, Romania; (L.A.); (I.M.Z.); (C.S.)
- Cardiology Department, Cardiovascular Diseases Institute “Prof. Dr. George I. M. Georgescu”, 700503 Iași, Romania
| | - Cristian Stătescu
- Internal Medicine Department, ”Grigore T. Popa” University of Medicine and Pharmacy, 700503 Iași, Romania; (L.A.); (I.M.Z.); (C.S.)
- Cardiology Department, Cardiovascular Diseases Institute “Prof. Dr. George I. M. Georgescu”, 700503 Iași, Romania
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31
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Leon-Justel A, Morgado Garcia-Polavieja JI, Alvarez-Rios AI, Caro Fernandez FJ, Merino PAP, Galvez Rios E, Vazquez-Rico I, Diaz Fernandez JF. Biomarkers-based personalized follow-up in chronic heart failure improves patient's outcomes and reduces care associate cost. Health Qual Life Outcomes 2021; 19:142. [PMID: 33964944 PMCID: PMC8106851 DOI: 10.1186/s12955-021-01779-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 04/23/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Heart failure (HF) is a major and growing medical and economic problem, with high prevalence and incidence rates worldwide. Cardiac Biomarker is emerging as a novel tool for improving management of patients with HF with a reduced left ventricular ejection fraction (HFrEF). METHODS This is a before and after interventional study, that assesses the impact of a personalized follow-up procedure for HF on patient's outcomes and care associated cost, based on a clinical model of risk stratification and personalized management according to that risk. A total of 192 patients were enrolled and studied before the intervention and again after the intervention. The primary objective was the rate of readmissions, due to a HF. Secondary outcome compared the rate of ED visits and quality of life improvement assessed by the number of patients who had reduced NYHA score. A cost-analysis was also performed on these data. RESULTS Admission rates significantly decreased by 19.8% after the intervention (from 30.2 to 10.4), the total hospital admissions were reduced by 32 (from 78 to 46) and the total length of stay was reduced by 7 days (from 15 to 9 days). The rate of ED visits was reduced by 44% (from 64 to 20). Thirty-one percent of patients had an improved functional class score after the intervention, whereas only 7.8% got worse. The overall cost saving associated with the intervention was € 72,769 per patient (from € 201,189 to € 128,420) and €139,717.65 for the whole group over 1 year. CONCLUSIONS A personalized follow-up of HF patients led to important outcome benefits and resulted in cost savings, mainly due to the reduction of patient hospitalization readmissions and a significant reduction of care-associated costs, suggesting that greater attention should be given to this high-risk cohort to minimize the risk of hospitalization readmissions.
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32
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Does high sensitivity troponin add prognostic value to validated risk scores to predict in-hospital mortality in patients with acute heart failure? Heart Vessels 2021; 36:1679-1687. [PMID: 33885968 DOI: 10.1007/s00380-021-01847-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
Troponin elevation correlates with an increased short and long-term mortality in patients with acute decompensated heart failure (AHF). However, it has not been included in the development of multiple validated predictive models of mortality. We aim to determine whether the addition of high-sensitivity troponin T (hs-TnT) to clinical risk scores improves the prediction of in-hospital mortality in patients with AHF. A retrospective analysis of a prospective and consecutive cohort was performed. Adult patients hospitalized between 2015 and 2019 with a primary diagnosis of AHF were included. Hs-TnT was measured on admission. OPTIMIZE-HF, GWTG-HF, and ADHERE risks score were calculated for each patient. The primary endpoint was all-cause in-hospital mortality. Discrimination of isolated hs-TnT and the risk scores with and without the addition of hs-TnT were evaluated using the area under the ROC curve (AUC-ROC). A subanalysis was performed according to left ventricular ejection fraction (LVEF). Of 712 patients, 562 (79%) had hs-TnT measurement upon admission, and was elevated in 91%. In-hospital mortality was 8.7% (n = 49). The AUC-ROC was 0.70 (95% CI 0.63-0.77) for isolated hs-TnT, and 0.80 (0.74-0.87), 0.79 (0.72 -0.86) and 0.79 (0.71-0.86) for the OPTIMIZE-HF, GWTG-HF and ADHERE scores, respectively. The addition of hs-TnT to the models did not increase the AUC: 0.72 (0.66-0.79) for the OPTIMIZE-HF + hs-TnT score (difference between AUC - 0.08 p = 0.04), 0.74 (0.68-0.80) for GWTG-HF (difference between AUC-0.04, p = 0.2) and 0.7 (0.63-0.77) for ADHERE (difference between AUC - 0.085 p = 0.07). The models presented good calibration (p > 0.05). In the sub-analysis, no differences were found between risk scores with the addition of hs-TnT in the population with LVEF < 40% and ≥ 40%. Elevated hs-TnT on admission was frequent and its incorporation into the validated risk scores did not prove an incremental prognostic benefit in patients hospitalized for AHF, regardless of LVEF. Isolated hs-TnT had a modest ability to predict hospital mortality. Additional prospective studies are needed to validate these findings.
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McGranaghan P, Saxena A, Düngen HD, Rubens M, Appunni S, Salami J, Veledar E, Lacour P, Blaschke F, Obradovic D, Loncar G, Tahirovic E, Edelmann F, Pieske B, Trippel TD. Performance of a cardiac lipid panel compared to four prognostic scores in chronic heart failure. Sci Rep 2021; 11:8164. [PMID: 33854188 PMCID: PMC8046832 DOI: 10.1038/s41598-021-87776-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/05/2021] [Indexed: 02/02/2023] Open
Abstract
The cardiac lipid panel (CLP) is a novel panel of metabolomic biomarkers that has previously shown to improve the diagnostic and prognostic value for CHF patients. Several prognostic scores have been developed for cardiovascular disease risk, but their use is limited to specific populations and precision is still inadequate. We compared a risk score using the CLP plus NT-proBNP to four commonly used risk scores: The Seattle Heart Failure Model (SHFM), Framingham risk score (FRS), Barcelona bio-HF (BCN Bio-HF) and Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score. We included 280 elderly CHF patients from the Cardiac Insufficiency Bisoprolol Study in Elderly trial. Cox Regression and hierarchical cluster analysis was performed. Integrated area under the curves (IAUC) was used as criterium for comparison. The mean (SD) follow-up period was 81 (33) months, and 95 (34%) subjects met the primary endpoint. The IAUC for FRS was 0.53, SHFM 0.61, BCN Bio-HF 0.72, MAGGIC 0.68, and CLP 0.78. Subjects were partitioned into three risk clusters: low, moderate, high with the CLP score showing the best ability to group patients into their respective risk cluster. A risk score composed of a novel panel of metabolite biomarkers plus NT-proBNP outperformed other common prognostic scores in predicting 10-year cardiovascular death in elderly ambulatory CHF patients. This approach could improve the clinical risk assessment of CHF patients.
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Affiliation(s)
- Peter McGranaghan
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany ,grid.418212.c0000 0004 0465 0852Baptist Health South Florida, 6855 Red Rd, Coral Gables, FL 33143 USA
| | - Anshul Saxena
- grid.418212.c0000 0004 0465 0852Baptist Health South Florida, 6855 Red Rd, Coral Gables, FL 33143 USA
| | - Hans-Dirk Düngen
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Muni Rubens
- grid.418212.c0000 0004 0465 0852Baptist Health South Florida, 6855 Red Rd, Coral Gables, FL 33143 USA
| | - Sandeep Appunni
- grid.253527.40000 0001 0705 6304Department of Biochemistry, Government Medical College, Kozhikode, Kerala 673008 India
| | - Joseph Salami
- grid.418212.c0000 0004 0465 0852Baptist Health South Florida, 6855 Red Rd, Coral Gables, FL 33143 USA
| | - Emir Veledar
- grid.418212.c0000 0004 0465 0852Baptist Health South Florida, 6855 Red Rd, Coral Gables, FL 33143 USA ,grid.65456.340000 0001 2110 1845Department of Biostatistics, Florida International University, Miami, FL USA ,grid.189967.80000 0001 0941 6502Division of Cardiology, Emory University School of Medicine, Atlanta, GA USA
| | - Philipp Lacour
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Florian Blaschke
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Danilo Obradovic
- grid.9647.c0000 0004 7669 9786Department of Cardiology and Internal Medicine, Heart Center Leipzig at the University of Leipzig, Russenstrasse 69A, 04289 Leipzig, Germany
| | - Goran Loncar
- grid.7149.b0000 0001 2166 9385Institute for Cardiovascular Diseases Dedinje, Department of Cardioloy, Faculty of Medicine, University of Belgrade, Heroja Milana Tepića br. 1, 11040 Belgrade, Serbia
| | - Elvis Tahirovic
- grid.11374.300000 0001 0942 1176Apostolovic Clinic for Cardiovascular Diseases, Clinical Centre Nis, University of Niš, Niš, Serbia
| | - Frank Edelmann
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany ,grid.452396.f0000 0004 5937 5237DZHK (German Centre for Cardiovascular Research), Berlin, Germany ,grid.484013.aBerlin Institute of Health (BIH), Berlin, Germany
| | - Burkert Pieske
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany ,grid.452396.f0000 0004 5937 5237DZHK (German Centre for Cardiovascular Research), Berlin, Germany ,grid.484013.aBerlin Institute of Health (BIH), Berlin, Germany ,Department of Internal Medicine and Cardiology, German Heart Centre Berlin, Berlin, Germany
| | - Tobias Daniel Trippel
- grid.6363.00000 0001 2218 4662Department of Internal Medicine and Cardiology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany ,grid.452396.f0000 0004 5937 5237DZHK (German Centre for Cardiovascular Research), Berlin, Germany
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Sammani A, Baas AF, Asselbergs FW, te Riele ASJM. Diagnosis and Risk Prediction of Dilated Cardiomyopathy in the Era of Big Data and Genomics. J Clin Med 2021; 10:921. [PMID: 33652931 PMCID: PMC7956169 DOI: 10.3390/jcm10050921] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 02/17/2021] [Accepted: 02/22/2021] [Indexed: 12/19/2022] Open
Abstract
Dilated cardiomyopathy (DCM) is a leading cause of heart failure and life-threatening ventricular arrhythmias (LTVA). Work-up and risk stratification of DCM is clinically challenging, as there is great heterogeneity in phenotype and genotype. Throughout the last decade, improved genetic testing of patients has identified genotype-phenotype associations and enhanced evaluation of at-risk relatives leading to better patient prognosis. The field is now ripe to explore opportunities to improve personalised risk assessments. Multivariable risk models presented as "risk calculators" can incorporate a multitude of clinical variables and predict outcome (such as heart failure hospitalisations or LTVA). In addition, genetic risk scores derived from genome/exome-wide association studies can estimate an individual's lifetime genetic risk of developing DCM. The use of clinically granular investigations, such as late gadolinium enhancement on cardiac magnetic resonance imaging, is warranted in order to increase predictive performance. To this end, constructing big data infrastructures improves accessibility of data by using electronic health records, existing research databases, and disease registries. By applying methods such as machine and deep learning, we can model complex interactions, identify new phenotype clusters, and perform prognostic modelling. This review aims to provide an overview of the evolution of DCM definitions as well as its clinical work-up and considerations in the era of genomics. In addition, we present exciting examples in the field of big data infrastructures, personalised prognostic assessment, and artificial intelligence.
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Affiliation(s)
- Arjan Sammani
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, 3582 CX Utrecht, The Netherlands; (A.S.); (F.W.A.)
| | - Annette F. Baas
- Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Centre Utrecht, University of Utrecht, 3582 CX Utrecht, The Netherlands;
| | - Folkert W. Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, 3582 CX Utrecht, The Netherlands; (A.S.); (F.W.A.)
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London WC1E 6BT, UK
- Health Data Research UK and Institute of Health Informatics, University College London, London WC1E 6BT, UK
| | - Anneline S. J. M. te Riele
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, 3582 CX Utrecht, The Netherlands; (A.S.); (F.W.A.)
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Chen Y, Voors AA, Jaarsma T, Lang CC, Sama IE, Akkerhuis KM, Boersma E, Hillege HL, Postmus D. A heart failure phenotype stratified model for predicting 1-year mortality in patients admitted with acute heart failure: results from an individual participant data meta-analysis of four prospective European cohorts. BMC Med 2021; 19:21. [PMID: 33499866 PMCID: PMC7839199 DOI: 10.1186/s12916-020-01894-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/21/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Prognostic models developed in general cohorts with a mixture of heart failure (HF) phenotypes, though more widely applicable, are also likely to yield larger prediction errors in settings where the HF phenotypes have substantially different baseline mortality rates or different predictor-outcome associations. This study sought to use individual participant data meta-analysis to develop an HF phenotype stratified model for predicting 1-year mortality in patients admitted with acute HF. METHODS Four prospective European cohorts were used to develop an HF phenotype stratified model. Cox model with two rounds of backward elimination was used to derive the prognostic index. Weibull model was used to obtain the baseline hazard functions. The internal-external cross-validation (IECV) approach was used to evaluate the generalizability of the developed model in terms of discrimination and calibration. RESULTS 3577 acute HF patients were included, of which 2368 were classified as having HF with reduced ejection fraction (EF) (HFrEF; EF < 40%), 588 as having HF with midrange EF (HFmrEF; EF 40-49%), and 621 as having HF with preserved EF (HFpEF; EF ≥ 50%). A total of 11 readily available variables built up the prognostic index. For four of these predictor variables, namely systolic blood pressure, serum creatinine, myocardial infarction, and diabetes, the effect differed across the three HF phenotypes. With a weighted IECV-adjusted AUC of 0.79 (0.74-0.83) for HFrEF, 0.74 (0.70-0.79) for HFmrEF, and 0.74 (0.71-0.77) for HFpEF, the model showed excellent discrimination. Moreover, there was a good agreement between the average observed and predicted 1-year mortality risks, especially after recalibration of the baseline mortality risks. CONCLUSIONS Our HF phenotype stratified model showed excellent generalizability across four European cohorts and may provide a useful tool in HF phenotype-specific clinical decision-making.
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Affiliation(s)
- Yuntao Chen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands.
| | - Adriaan A Voors
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Tiny Jaarsma
- Department of Social and Welfare Studies, Faculty of Health Sciences, Linköping University, Linköping, Sweden
| | - Chim C Lang
- Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Iziah E Sama
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - K Martijn Akkerhuis
- Department of Cardiology, Thoraxcenter, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Eric Boersma
- Department of Cardiology, Thoraxcenter, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Hans L Hillege
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands
| | - Douwe Postmus
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands
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Cediel G, Codina P, Spitaleri G, Domingo M, Santiago-Vacas E, Lupón J, Bayes-Genis A. Gender-Related Differences in Heart Failure Biomarkers. Front Cardiovasc Med 2021; 7:617705. [PMID: 33469552 PMCID: PMC7813809 DOI: 10.3389/fcvm.2020.617705] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 12/09/2020] [Indexed: 12/13/2022] Open
Abstract
Important differences in comorbidities and clinical characteristics exist between women and men with heart failure (HF). In particular, differences in the kinetics of biological circulating biomarkers—a critical component of cardiovascular care—are highly relevant. Most circulating HF biomarkers are assessed daily by clinicians without taking sex into account, despite the multiple gender-related differences observed in plasma concentrations. Even in health, compared to men, women tend to exhibit higher levels of natriuretic peptides and galectin-3 and lower levels of cardiac troponins and the cardiac stress marker, soluble ST2. Many biological factors can provide a reliable explanation for these differences, like body composition, fat distribution, or menopausal status. Notwithstanding, these sex-specific differences in biomarker levels do not reflect different pathobiological mechanisms in HF between women and men, and they do not necessarily imply a need to use different diagnostic cut-off levels in clinical practice. To date, the sex-specific prognostic value of HF biomarkers for risk stratification is an unresolved issue that future research must elucidate. This review outlines current evidence regarding gender-related differences in circulating biomarkers widely used in HF, the pathophysiological mechanisms underlying these differences, and their clinical relevance.
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Affiliation(s)
- Germán Cediel
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
| | - Pau Codina
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
| | - Giosafat Spitaleri
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
| | - Mar Domingo
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
| | - Evelyn Santiago-Vacas
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
| | - Josep Lupón
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
| | - Antoni Bayes-Genis
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, CIBERCV, Autonomous University of Barcelona, Barcelona, Spain
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Marrow BA, Cook SA, Prasad SK, McCann GP. Emerging Techniques for Risk Stratification in Nonischemic Dilated Cardiomyopathy: JACC Review Topic of the Week. J Am Coll Cardiol 2020; 75:1196-1207. [PMID: 32164893 DOI: 10.1016/j.jacc.2019.12.058] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 12/04/2019] [Indexed: 02/06/2023]
Abstract
Dilated cardiomyopathy (DCM) is a common condition, which carries significant mortality from sudden cardiac death and pump failure. Left ventricular ejection fraction has conventionally been used as a risk marker for sudden cardiac death, but has performed poorly in trials. There have been significant advances in the areas of cardiac magnetic resonance imaging and genetics, which are able to provide useful rick prediction in DCM. Biomarkers and cardiopulmonary exercise testing are well validated in the prediction of risk in heart failure; however, they have been tested less specifically in the DCM setting. This review will discuss these methods with a view toward multiparametric risk assessment in DCM with the hope of creating parametric risk models to predict sudden cardiac death and pump failure in the DCM population.
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Affiliation(s)
- Benjamin A Marrow
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Stuart A Cook
- Department of Cardiovascular Medicine, National Heart & Lung Institute, Imperial College, London, United Kingdom; Department of Cardiology, National Heart Centre Singapore, Singapore
| | - Sanjay K Prasad
- Department of Cardiovascular Medicine, National Heart & Lung Institute, Imperial College, London, United Kingdom
| | - Gerry P McCann
- Department of Cardiovascular Sciences, University of Leicester and the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
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Lau K, Malik A, Foroutan F, Buchan TA, Daza JF, Sekercioglu N, Orchanian-Cheff A, Alba AC. Resting Heart Rate as an Important Predictor of Mortality and Morbidity in Ambulatory Patients With Heart Failure: A Systematic Review and Meta-Analysis. J Card Fail 2020; 27:349-363. [PMID: 33171294 DOI: 10.1016/j.cardfail.2020.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 10/30/2020] [Accepted: 11/04/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Resting heart rate is a risk factor of adverse heart failure outcomes; however, studies have shown controversial results. This meta-analysis evaluates the association of resting heart rate with mortality and hospitalization and identifies factors influencing its effect. METHODS AND RESULTS We systematically searched electronic databases in February 2019 for studies published in 2005 or before that evaluated the resting heart rate as a primary predictor or covariate of multivariable models of mortality and/or hospitalization in adult ambulatory patients with heart failure. Random effects inverse variance meta-analyses were performed to calculate pooled hazard ratios. The Grading of Recommendations, Assessment, Development and Evaluation approach was used to assess evidence quality. Sixty-two studies on 163,445 patients proved eligible. Median population heart rate was 74 bpm (interquartile range 72-76 bpm). A 10-bpm increase was significantly associated with increased risk of all-cause mortality (hazard ratio 1.10, 95% confidence interval 1.08-1.13, high quality). Overall, subgroup analyses related to patient characteristics showed no changes to the effect estimate; however, there was a strongly positive interaction with age showing increasing risk of all-cause mortality per 10 bpm increase in heart rate. CONCLUSIONS High-quality evidence demonstrates increasing resting heart rate is a significant predictor of all-cause mortality in ambulatory patients with heart failure on optimal medical therapy, with consistent effect across most patient factors and an increased risk trending with older age.
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Affiliation(s)
- Kimberley Lau
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Abdullah Malik
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Farid Foroutan
- McMaster University, Hamilton, Ontario, Canada; Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada
| | - Tayler A Buchan
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada
| | | | | | - Ani Orchanian-Cheff
- Library and Information Services, University Health Network, Toronto, Ontario, Canada
| | - Ana C Alba
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada.
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Dziewięcka E, Gliniak M, Winiarczyk M, Karapetyan A, Wiśniowska-Śmiałek S, Karabinowska A, Dziewięcki M, Podolec P, Rubiś P. Mortality risk in dilated cardiomyopathy: the accuracy of heart failure prognostic models and dilated cardiomyopathy-tailored prognostic model. ESC Heart Fail 2020; 7:2455-2467. [PMID: 32853471 PMCID: PMC7524139 DOI: 10.1002/ehf2.12809] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 04/04/2020] [Accepted: 05/14/2020] [Indexed: 12/28/2022] Open
Abstract
Aims The aims of this paper were to investigate the analytical performance of the nine prognostic scales commonly used in heart failure (HF), in patients with dilated cardiomyopathy (DCM), and to develop a unique prognostic model tailored to DCM patients. Methods and results The hospital and outpatient records of 406 DCM patients were retrospectively analysed. The information on patient status was gathered after 48.2 ± 32.0 months. Tests were carried out to ascertain the prognostic accuracy in DCM using some of the most frequently applied HF prognostic scales (Barcelona Bio‐Heart Failure, Candesartan in Heart Failure‐Assessment of Reduction in Mortality and Morbidity, Studio della Streptochinasi nell'Infarto Miocardico‐Heart Failure, Eplerenone in Mild Patients Hospitalization and Survival Study in Heart Failure, Meta‐Analysis Global Group in Chronic Heart Failure, MUerte Subita en Insuficiencia Cardiaca, Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure, Seattle Heart Failure Model) and one dedicated to DCM, that of Miura et al. At follow‐up, 70 DCM patients (17.2%) died. Most analysed scores substantially overestimated the mortality risk, especially in survivors. The prognostic accuracy of the scales were suboptimal, varying between 60% and 80%, with the best performance from Barcelona Bio‐Heart Failure and Seattle Heart Failure Model for 1–5 year mortality [areas under the receiver operating curve 0.792–0.890 (95% confidence interval 0.725–0.918) and 0.764–0.808 (95% confidence interval 0.682–0.934), respectively].Based on our accumulated data, a self‐developed DCM prognostic model was constructed. The model consists of age, gender, body mass index, symptoms duration, New York Heart Association class, diabetes mellitus, prior stroke, abnormal liver function, dyslipidaemia, left bundle branch block, left ventricle end‐diastolic diameter, ejection fraction, N terminal pro brain natriuretic peptide, haemoglobin, estimated glomerular filtration rate, and pharmacological and resynchronisation therapy. This newly created prognostic model outperformed the analysed HF scales. Conclusions An analysis of various HF prognostic models found them to be suboptimal for DCM patients. A self‐developed DCM prognostic model showed improved performance over the nine other models studied. However, further validation of the prognostic model in different DCM populations is required.
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Affiliation(s)
- Ewa Dziewięcka
- Department of Cardiac and Vascular Diseases, Jagiellonian University Collegium Medicum, John Paul II Hospital, Prądnicka Street 80, Kraków, 31-202, Poland
| | - Matylda Gliniak
- Jagiellonian University Collegium Medicum, Students' Scientific Group at the Department of Cardiac and Vascular Diseases, John Paul II Hospital, Krakow, Poland
| | - Mateusz Winiarczyk
- Jagiellonian University Collegium Medicum, Students' Scientific Group at the Department of Cardiac and Vascular Diseases, John Paul II Hospital, Krakow, Poland
| | - Arman Karapetyan
- Jagiellonian University Collegium Medicum, Students' Scientific Group at the Department of Cardiac and Vascular Diseases, John Paul II Hospital, Krakow, Poland
| | - Sylwia Wiśniowska-Śmiałek
- Department of Cardiac and Vascular Diseases, Jagiellonian University Collegium Medicum, John Paul II Hospital, Prądnicka Street 80, Kraków, 31-202, Poland
| | - Aleksandra Karabinowska
- Department of Cardiac and Vascular Diseases, Jagiellonian University Collegium Medicum, John Paul II Hospital, Prądnicka Street 80, Kraków, 31-202, Poland
| | | | - Piotr Podolec
- Department of Cardiac and Vascular Diseases, Jagiellonian University Collegium Medicum, John Paul II Hospital, Prądnicka Street 80, Kraków, 31-202, Poland
| | - Paweł Rubiś
- Department of Cardiac and Vascular Diseases, Jagiellonian University Collegium Medicum, John Paul II Hospital, Prądnicka Street 80, Kraków, 31-202, Poland
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40
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Aimo A, Januzzi JL, Bayes-Genis A, Vergaro G, Sciarrone P, Passino C, Emdin M. Clinical and Prognostic Significance of sST2 in Heart Failure: JACC Review Topic of the Week. J Am Coll Cardiol 2020; 74:2193-2203. [PMID: 31648713 DOI: 10.1016/j.jacc.2019.08.1039] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 08/07/2019] [Accepted: 08/31/2019] [Indexed: 02/07/2023]
Abstract
Soluble suppression of tumorigenesis-2 (sST2) is released in response to vascular congestion and inflammatory and pro-fibrotic stimuli, and is a strong, independent predictor of mortality and heart failure (HF) hospitalization in patients with acute or chronic HF. sST2 meets 2 fundamental criteria for clinically useful biomarkers: accurate, repeated measurements are available at a reasonable cost, and the biomarker provides information not already available from a careful clinical assessment. In particular, the prognostic value of sST2 is additive to natriuretic peptides and (in the case of chronic HF) to high-sensitivity troponin T. Nevertheless, the need for a multibiomarker approach to risk stratification and the role of sST2 as a guide to therapy decision-making remain to be established. Four years after a consensus document on sST2, and following major advances in the comprehension of the clinical value of this biomarker, the authors felt it worthwhile to reappraise current knowledge on sST2 in HF.
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Affiliation(s)
- Alberto Aimo
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - James L Januzzi
- Massachusetts General Hospital and Baim Institute for Clinical Research, Boston, Massachusetts
| | - Antoni Bayes-Genis
- Hospital Universitari Germans Trias i Pujol, Badalona (Barcelona), CIBERCV, Barcelona, Spain
| | - Giuseppe Vergaro
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy; Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Paolo Sciarrone
- Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Claudio Passino
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy; Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Michele Emdin
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy; Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
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Bayes-Genis A, Voors AA, Zannad F, Januzzi JL, Mark Richards A, Díez J. Transitioning from usual care to biomarker-based personalized and precision medicine in heart failure: call for action. Eur Heart J 2019; 39:2793-2799. [PMID: 28204449 DOI: 10.1093/eurheartj/ehx027] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 01/12/2017] [Indexed: 12/20/2022] Open
Affiliation(s)
- Antoni Bayes-Genis
- Heart Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain.,CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Adriaan A Voors
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Faiez Zannad
- INSERM, CIC1433, Université de Lorraine, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France
| | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - A Mark Richards
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.,Cardiovascular Research Institute, National University of Singapore, Singapore
| | - Javier Díez
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain.,Program of Cardiovascular Diseases, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.,Department of Cardiology and Cardiac Surgery, University Clinic, University of Navarra, Pamplona, Spain
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Abstract
Heart failure (HF) is a complex syndrome with an enormous societal burden in terms of cost, morbidity, and mortality. Natriuretic peptide testing is now widely used to support diagnosis, prognostication, and management of patients with HF and are incorporated into HF clinical practice guidelines. Beyond the natriuretic peptides, novel biomarkers may supplement traditional clinical and laboratory testing to improve understanding of the complex disease process of HF and possibly to personalize care for those affected through better individual phenotyping. In this review, we will discuss natriuretic peptides and the more novel biomarkers by dividing them into categories based on the major pathophysiologic pathways they represent. Given the complex physiology in HF, it is reasonable to expect that the future of biomarker testing lies in the application of multimarker testing panels, precision medicine to improve HF care delivery, and the use of biomarkers in proteomics and metabolomics to further improve HF care.
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Affiliation(s)
- Nasrien E Ibrahim
- From the Cardiology Division, Massachusetts General Hospital, Boston (N.E.I., J.L.J.).,Harvard Medical School, Boston, MA (N.E.I., J.L.J.)
| | - James L Januzzi
- From the Cardiology Division, Massachusetts General Hospital, Boston (N.E.I., J.L.J.).,Harvard Medical School, Boston, MA (N.E.I., J.L.J.).,Baim Institute for Clinical Research, Boston, MA (J.L.J.)
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Díez-Villanueva P, Salamanca J, Ariza-Solé A, Formiga F, Martín-Sánchez FJ, Bonanad Lozano C, Vidán MT, Martínez-Sellés M, Terres B, Jiménez Méndez C, Bueno H, Alfonso F. [Impact of frailty and other geriatric syndromes on the clinical management and prognosis of elderly ambulatory patients with heart failure. A prospective and multicentre study]. Rev Esp Geriatr Gerontol 2019; 55:29-33. [PMID: 31515087 DOI: 10.1016/j.regg.2019.08.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 07/22/2019] [Accepted: 08/06/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND OBJECTIVES Heart failure (HF) is a chronic disease that is often associated with ageing. There are predictive models based on variables that associate it with a poor prognosis, although those do not include common conditions in the elderly, such as frailty or comorbidity. The aim of this study is to determine the clinical and epidemiological characteristics of a cohort of elderly outpatients with HF followed-up by cardiologists. This will include a study of the prevalence of frailty and other geriatric syndromes, as well as their impact on the prognosis, and to evaluate whether these may improve predictive ability of such predictive models. MATERIAL AND METHODS Observational, prospective, and multicentre study that will include 400 patients ≥75years old with chronic HF followed-up in Spanish tertiary hospitals by cardiology specialists in HF. Patients will undergo a comprehensive geriatric assessment, and prediction of events will be performed based on MAGGIC (Meta-Analysis Global Group in Chronic Heart Failure) and Barcelona-Bio HF calculator scores. The primary endpoint is cardiovascular and overall mortality at 1 and 3years follow-up. RESULTS This study will assess both the characteristics and prognosis of elderly patients with HF followed-up by cardiologists in Spain and the applicability in the elderly population of scores used in the general population with chronic HF. CONCLUSION This is the first prospective study that will systematically assess frailty and other geriatric syndromes in the elderly outpatient with HF in Spain and followed-up by cardiologists, thus contributing to improve knowledge about both its prevalence and impact on our patients.
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Affiliation(s)
- Pablo Díez-Villanueva
- Servicio de Cardiología, Hospital Universitario La Princesa, Universidad Autónoma de Madrid, Madrid, España.
| | - Jorge Salamanca
- Servicio de Cardiología, Hospital Universitario La Princesa, Universidad Autónoma de Madrid, Madrid, España
| | - Albert Ariza-Solé
- Servicio de Cardiología, Área de Enfermedades del Corazón, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, España
| | - Francesc Formiga
- Programa de Geriatría, Servicio de Medicina Interna, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, España
| | - Francisco Javier Martín-Sánchez
- Servicio de Urgencias, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Universidad Complutense de Madrid, Madrid, España
| | - Clara Bonanad Lozano
- Servicio de Cardiología, Hospital Clínico Universitario de Valencia, Valencia, España
| | - María Teresa Vidán
- Servicio de Geriatría, Hospital General Universitario Gregorio Marañón (IiSGM), Universidad Complutense de Madrid, Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, España
| | - Manuel Martínez-Sellés
- Servicio de Cardiología, Hospital Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Universidad Complutense de Madrid, Universidad Europea de Madrid, Madrid, España
| | - Beatriz Terres
- Servicio de Cardiología, Hospital Universitario La Princesa, Universidad Autónoma de Madrid, Madrid, España
| | - César Jiménez Méndez
- Servicio de Cardiología, Hospital Universitario La Princesa, Universidad Autónoma de Madrid, Madrid, España
| | - Héctor Bueno
- Servicio de Cardiología, Hospital Universitario 12 de Octubre, CNIC, Madrid, España
| | - Fernando Alfonso
- Servicio de Cardiología, Hospital Universitario La Princesa, Universidad Autónoma de Madrid, Madrid, España
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O'Meara E, Prescott MF, Claggett B, Rouleau JL, Chiang LM, Solomon SD, Packer M, McMurray JJV, Zile MR. Independent Prognostic Value of Serum Soluble ST2 Measurements in Patients With Heart Failure and a Reduced Ejection Fraction in the PARADIGM-HF Trial (Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure). Circ Heart Fail 2019; 11:e004446. [PMID: 29748349 DOI: 10.1161/circheartfailure.117.004446] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 04/06/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Soluble ST2 (sST2) is associated with cardiac remodeling and fibrosis. In chronic heart failure, the predictive value of sST2 has not been evaluated in a model that includes both NT-proBNP (N-terminal pro-B-type natriuretic peptide) and hs-TnT (high-sensitivity cardiac troponin T), in a trial in which treatment had a major impact. Therefore, the effects of treatment on sST2 levels in PARADIGM-HF trial (Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure), the relationships between sST2 and outcomes, and the prognostic utility of various sST2 partition values were examined. METHODS AND RESULTS Baseline (n=2002), 1-month (n=1936), and 8-month postrandomization (n=1758) sST2 levels were compared between treatment groups (sacubitril/valsartan versus enalapril). Relationships between baseline sST2 and (1) heart failure hospitalization, (2) cardiovascular death, and (3) combined heart failure hospitalization and cardiovascular death were assessed using restricted cubic spline models. Adjusted Cox proportional hazards models were used to examine the impact of sST2 change from baseline to 1 month on the hazard of experiencing each outcome. Sacubitril/valsartan led to more reductions and fewer increases in sST2 levels versus enalapril. After adjusting for other predictors, including NT-proBNP and hs-TnT, baseline sST2 remained an independent predictor of outcomes. Associations between baseline sST2 and outcomes were linear. sST2 increases at 1 month were associated with worse subsequent outcomes and decreased with better outcomes (P=0.001, 0.012, and 0.009 for the 3 outcomes, respectively). CONCLUSIONS Sacubitril/valsartan resulted in greater reductions and less increases in sST2 levels than enalapril. No specific threshold was associated with risk, as linear relationships between baseline sST2 and outcomes were observed. Changes in sST2 from baseline to 1 month were independently associated with the risk of outcomes. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT01035255.
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Affiliation(s)
- Eileen O'Meara
- Montreal Heart Institute Department of Medicine (Cardiology) and Research Centre, and Université de Montréal, QC, Canada (E.O., J.L.R.).
| | | | - Brian Claggett
- Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA (B.C., S.D.S.)
| | - Jean L Rouleau
- Montreal Heart Institute Department of Medicine (Cardiology) and Research Centre, and Université de Montréal, QC, Canada (E.O., J.L.R.)
| | - Lu-May Chiang
- Novartis Pharmaceuticals Corporation, East Hanover, NJ (M.F.P., L.-M.C.)
| | - Scott D Solomon
- Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA (B.C., S.D.S.)
| | - Milton Packer
- Baylor Heart and Vascular Hospital, Baylor University Medical Center, Dallas, TX (M.P.)
| | - John J V McMurray
- Cardiovascular Research Centre, University of Glasgow, United Kingdom (J.J.V.M.)
| | - Michael R Zile
- Medical University of South Carolina and Ralph H. Johnson Veterans Administration Medical Center, Charleston (M.R.Z.)
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45
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A bio-clinical approach for prediction of sudden cardiac death in outpatients with heart failure: The ST2-SCD score. Int J Cardiol 2019; 293:148-152. [PMID: 31155333 DOI: 10.1016/j.ijcard.2019.05.046] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 05/07/2019] [Accepted: 05/21/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Sudden cardiac death (SCD) is one of the main modes of death in heart failure (HF) patients and its prediction remains a real challenge. Our aim was to assess the incidence of SCD at 5 years HF contemporary managed outpatients, and to find a simple prediction model for SCD. METHODS SCD was considered any unexpected death, witnessed or not, occurring in a previously stable patient with no evidence of worsening HF or any other cause of death. A competing risk strategy was adopted using the Fine-Gray method of Cox regressions analyses that considered other causes of death as the competing event. RESULTS The derivation cohort included 744 consecutive outpatients (72% men, age 67.9 ± 12.2 years, left ventricular ejection fraction [LVEF] 36% ± 14). During follow-up, 312 deaths occurred, 40 SCDs (5.4%). Age, haemoglobin, eGFR, HF duration, high-sensitivity troponin T, NTproBNP, and ST2 were associated with SCD in univariate analyses; HF duration (p = 0.006), eGFR (p < 0.001), LVEF <45% (p = 0.03), and ST2 (p = 0.006) remained in multivariable analysis. A predictive score (ST2-SCD) including dichotomous variables (ST2 > 45, LVEF <45%, HF duration >3 years, eGFR < 55, age ≥ 60 years and male sex) provided a Harrell's C-statistic of 0.82 (0.76-0.89)), reaching 0.87 (0.80-0.95) in the validation cohort (n = 149). CONCLUSIONS In contemporary managed HF, SCD occurred in 5.4% of outpatients, accounting for 12.8% of all deaths at 5 years. Of the 3 studied biomarkers, only ST2 remained independently associated with SCD. A model containing age, sex, ST2, eGFR, LVEF, and HF duration reasonably predicted 5-years risk of SCD.
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46
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Spinar J, Spinarova L, Malek F, Ludka O, Krejci J, Ostadal P, Vondrakova D, Labr K, Spinarova M, Pavkova Goldbergova M, Benesova K, Jarkovsky J, Parenica J. Prognostic value of NT-proBNP added to clinical parameters to predict two-year prognosis of chronic heart failure patients with mid-range and reduced ejection fraction - A report from FAR NHL prospective registry. PLoS One 2019; 14:e0214363. [PMID: 30913251 PMCID: PMC6435170 DOI: 10.1371/journal.pone.0214363] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 03/12/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND According to guidelines, the prognosis of patients with chronic heart failure can be predicted by determining the levels of natriuretic peptides, the NYHA classification and comorbidities. The aim our work was to develop a prognostic score in chronic heart failure patients that would take account of patients' comorbidities, NYHA and NT-proBNP levels. METHODS AND RESULTS A total of 1,088 patients with chronic heart failure with reduced ejection fraction (HFrEF) (LVEF<40%) and mid-range EF (HFmrEF) (LVEF 40-49%) were enrolled consecutively. Two-year all-cause mortality, heart transplantation and/or LVAD implantation were defined as the primary endpoint (EP). The occurrence of EP was 14.9% and grew with higher NYHA, namely 4.9% (NYHA I), 11.4% (NYHA II) and 27.8% (NYHA III-IV) (p<0.001). The occurrence of EP was 3%, 10% and 15-37% in patients with NT-proBNP levels ≤125 ng/L, 126-1000 ng/L and >1000 ng/L respectively. Discrimination abilities of NYHA and NT-proBNP were AUC 0.670 (p<0.001) and AUC 0.722 (p<0.001) respectively. The predictive value of the developed clinical model, which took account of older age, advanced heart failure (NYHA III+IV), anaemia, hyponatraemia, hyperuricaemia and being on a higher dose of furosemide (>40 mg daily) (AUC 0.773; p<0.001) was increased by adding the NT-proBNP level (AUC 0.790). CONCLUSION The use of prediction models in patients with chronic heart failure, namely those taking account of natriuretic peptides, should become a standard in routine clinical practice. It might contribute to a better identification of a high-risk group of patients in which more intense treatment needs to be considered, such as heart transplantation or LVAD implantation.
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Affiliation(s)
- Jindrich Spinar
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Lenka Spinarova
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
- First Department of Internal Medicine, Cardiology and Angiology, St Anne’s University Hospital Brno, Brno, Czech Republic
| | - Filip Malek
- Department of Cardiology, Hospital Na Homolce, Prague, Czech Republic
| | - Ondrej Ludka
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jan Krejci
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
- First Department of Internal Medicine, Cardiology and Angiology, St Anne’s University Hospital Brno, Brno, Czech Republic
| | - Petr Ostadal
- Department of Cardiology, Hospital Na Homolce, Prague, Czech Republic
| | - Dagmar Vondrakova
- Department of Cardiology, Hospital Na Homolce, Prague, Czech Republic
| | - Karel Labr
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
- First Department of Internal Medicine, Cardiology and Angiology, St Anne’s University Hospital Brno, Brno, Czech Republic
| | - Monika Spinarova
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
- First Department of Internal Medicine, Cardiology and Angiology, St Anne’s University Hospital Brno, Brno, Czech Republic
| | | | - Klara Benesova
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jiri Jarkovsky
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jiri Parenica
- Department of Cardiology, University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
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Doumouras BS, Lee DS, Levy WC, Alba AC. An Appraisal of Biomarker-Based Risk-Scoring Models in Chronic Heart Failure: Which One Is Best? Curr Heart Fail Rep 2019; 15:24-36. [PMID: 29404976 DOI: 10.1007/s11897-018-0375-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW While prediction models incorporating biomarkers are used in heart failure, these have shown wide-ranging discrimination and calibration. This review will discuss externally validated biomarker-based risk models in chronic heart failure patients assessing their quality and relevance to clinical practice. RECENT FINDINGS Biomarkers may help in determining prognosis in chronic heart failure patients as they reflect early pathologic processes, even before symptoms or worsening disease. We present the characteristics and describe the performance of 10 externally validated prediction models including at least one biomarker among their predictive factors. Very few models report adequate discrimination and calibration. Some studies evaluated the additional predictive value of adding a biomarker to a model. However, these have not been routinely assessed in subsequent validation studies. New and existing prediction models should include biomarkers, which improve model performance. Ongoing research is needed to assess the performance of models in contemporary patients.
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Affiliation(s)
- Barbara S Doumouras
- Heart Failure and Transplant Program, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.
| | - Douglas S Lee
- Institute for Clinical Evaluative Sciences, Peter Munk Cardiac Centre and Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, ON, Canada
| | | | - Ana C Alba
- Heart Failure and Transplant Program, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
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Benmachiche M, Marques-Vidal P, Waeber G, Méan M. In-hospital mortality is associated with high NT-proBNP level. PLoS One 2018; 13:e0207118. [PMID: 30408101 PMCID: PMC6224094 DOI: 10.1371/journal.pone.0207118] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 10/19/2018] [Indexed: 12/16/2022] Open
Abstract
Objective To compare in-hospital mortality in unselected adult patients according to N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. Method Retrospective study including 3833 adult patients (median age 72 years, 45% women) hospitalized between January 2013 and April 2015 in a Swiss university hospital, with at least one NT-proBNP level measurement during hospitalization. Patients were categorized in quintiles regarding their highest NT-proBNP level. In-hospital mortality and length of stay (LOS) were compared between the highest and the other quintiles. Results In-hospital mortality rate and LOS (average±standard deviation) were higher in the fifth quintile than in the others (6.5% vs 20.3%, and 20.8±24.0 vs. 14.9±26.5 days respectively, both p<0.001). After multivariate adjustment on age, gender, principal diagnoses, stage 5 renal failure and type of management, patients in the fifth quintile had a hazard ratio [95% confidence interval] of 1.97 [1.57–2.46] for in-hospital mortality and an adjusted LOS (average±standard error) of 20.4±1.0 vs. 14.9±0.5 days for the other quintiles (p<0.001). Further stratification on the main diagnosis at discharge led to similar findings. Conclusion Patients with high levels of NT-proBNP are at higher risk of in-hospital mortality and longer LOS, regardless of their clinical characteristics. NT-proBNP level can be a helpful tool for predicting in-hospital patient outcome in unselected adult patients.
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Affiliation(s)
- Malik Benmachiche
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
- * E-mail:
| | - Pedro Marques-Vidal
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Gérard Waeber
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Marie Méan
- Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
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49
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González-Costello J, Comín-Colet J, Lupón J, Enjuanes C, de Antonio M, Fuentes L, Moliner-Borja P, Farré N, Zamora E, Manito N, Pujol R, Bayés-Genis A. Importance of iron deficiency in patients with chronic heart failure as a predictor of mortality and hospitalizations: insights from an observational cohort study. BMC Cardiovasc Disord 2018; 18:206. [PMID: 30382817 PMCID: PMC6211465 DOI: 10.1186/s12872-018-0942-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 10/19/2018] [Indexed: 12/11/2022] Open
Abstract
Background Iron deficiency (ID) in patients with chronic heart failure (CHF) is considered an adverse prognostic factor. We aimed to evaluate if ID in patients with CHF is associated with increased mortality and hospitalizations. Methods We evaluated ID in patients with CHF at 3 university hospitals. ID was defined as absolute (ferritin < 100 μg/L) or functional (transferrin Saturation index < 20% and ferritin between 100 and 299 μg/L). We excluded patients who received treatment with intravenous Iron or Erythropoietin during follow-up. We evaluated if ID was a predictor of death or hospitalization due to heart failure or any cause using univariate and multivariate cox regression analysis. Results We included 1684 patients, 65% males, 38% diabetics, median age of 72 years, 37% in functional class III-IV and 30% of patients with a left ventricular ejection fraction > 45%. Patients were well treated, with 87% and 88% of patients receiving renin-angiotensin inhibitors and beta-blockers, respectively. Median transferrin saturation index was 20%, median ferritin 155 ng/mL and median haemoglobin 13 g/dL. ID was present in 53% of patients; in 35% it was absolute and in 18% functional. Median follow-up was 20 months. ID was a predictor of death, hospitalization due to heart failure or to any cause in univariate analysis but not after multivariate analysis. No differences were found between absolute or functional ID regarding prognosis. Conclusion In a real life population of patients with CHF and a high prevalence of heart failure with preserved ejection fraction, ID did not predict mortality or hospitalizations after adjustment for comorbidities, functional class and neurohormonal treatment.
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Affiliation(s)
- José González-Costello
- Area de Enfermedades del Corazón, Hospital Universitari de Bellvitge, IDIBELL, Universitat de Barcelona, L'Hospitalet de Llobregat, Feixa Llarga SN, 08907, Barcelona, Spain.
| | - Josep Comín-Colet
- Area de Enfermedades del Corazón, Hospital Universitari de Bellvitge, IDIBELL, Universitat de Barcelona, L'Hospitalet de Llobregat, Feixa Llarga SN, 08907, Barcelona, Spain
| | - Josep Lupón
- Unidad de Insuficiencia Cardíaca, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Cristina Enjuanes
- Servicio de Cardiología, Hospital del Mar, IMIM, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta de Antonio
- Unidad de Insuficiencia Cardíaca, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Lara Fuentes
- Area de Enfermedades del Corazón, Hospital Universitari de Bellvitge, IDIBELL, Universitat de Barcelona, L'Hospitalet de Llobregat, Feixa Llarga SN, 08907, Barcelona, Spain
| | - Pedro Moliner-Borja
- Servicio de Cardiología, Hospital del Mar, IMIM, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nuria Farré
- Servicio de Cardiología, Hospital del Mar, IMIM, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elisabet Zamora
- Unidad de Insuficiencia Cardíaca, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
| | - Nicolás Manito
- Area de Enfermedades del Corazón, Hospital Universitari de Bellvitge, IDIBELL, Universitat de Barcelona, L'Hospitalet de Llobregat, Feixa Llarga SN, 08907, Barcelona, Spain
| | - Ramón Pujol
- Servicio de Medicina Interna, Hospital Universitari de Bellvitge, IDIBELL, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Antoni Bayés-Genis
- Unidad de Insuficiencia Cardíaca, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
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50
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Aimo A, Januzzi JL, Vergaro G, Ripoli A, Latini R, Masson S, Magnoli M, Anand IS, Cohn JN, Tavazzi L, Tognoni G, Gravning J, Ueland T, Nymo SH, Rocca HPBL, Bayes-Genis A, Lupón J, de Boer RA, Yoshihisa A, Takeishi Y, Egstrup M, Gustafsson I, Gaggin HK, Eggers KM, Huber K, Tentzeris I, Wilson Tang WH, Grodin JL, Passino C, Emdin M. High-sensitivity troponin T, NT-proBNP and glomerular filtration rate: A multimarker strategy for risk stratification in chronic heart failure. Int J Cardiol 2018; 277:166-172. [PMID: 30416028 DOI: 10.1016/j.ijcard.2018.10.079] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 09/28/2018] [Accepted: 10/24/2018] [Indexed: 12/28/2022]
Abstract
BACKGROUND In a recent individual patient data meta-analysis, high-sensitivity troponin T (hs-TnT) emerged as robust predictor of prognosis in stable chronic heart failure (HF). In the same population, we compared the relative predictive performances of hs-TnT, N-terminal fraction of pro-B-type natriuretic peptide (NT-proBNP), hs-C-reactive protein (hs-CRP), and estimated glomerular filtration rate (eGFR) for prognosis. METHODS AND RESULTS 9289 patients (66 ± 12 years, 77% men, 85% LVEF <40%, 60% ischemic HF) were evaluated over a 2.4-year median follow-up. Median eGFR was 58 mL/min/1.73 m2 (interquartile interval 46-70; n = 9220), hs-TnT 16 ng/L (8-20; n = 9289), NT-proBNP 1067 ng/L (433-2470; n = 8845), and hs-CRP 3.3 mg/L (1.4-7.8; n = 7083). In a model including all 3 biomarkers, only hs-TnT and NT-proBNP were independent predictors of all-cause and cardiovascular mortality and cardiovascular hospitalization. hs-TnT was a stronger predictor than NT-proBNP: for example, the risk for all-cause death increased by 54% per doubling of hs-TnT vs. 24% per doubling of NT-proBNP. eGFR showed independent prognostic value from both hs-TnT and NT-proBNP. The best hs-TnT and NT-proBNP cut-offs for the prediction of all-cause death increased progressively with declining renal function (eGFR ≥ 90: hs-TnT 13 ng/L and NT-proBNP 825 ng/L; eGFR < 30: hs-TnT 40 ng/L and NT-proBNP 4608 ng/L). Patient categorization according to these cut-offs effectively stratified patient prognosis across all eGFR classes. CONCLUSIONS hs-TnT conveys independent prognostic information from NT-proBNP, while hs-CRP does not. Concomitant assessment of eGFR may further refine risk stratification. Patient classification according to hs-TnT and NT-proBNP cut-offs specific for the eGFR classes holds prognostic significance.
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Affiliation(s)
| | - James L Januzzi
- Massachusetts General Hospital, Harvard Clinical Research Institute, Boston, MA, USA
| | - Giuseppe Vergaro
- Scuola Superiore Sant'Anna, Pisa, Italy; Fondazione Toscana G. Monasterio, Pisa, Italy
| | | | - Roberto Latini
- Department of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche - "Mario Negri", Milano, Italy
| | - Serge Masson
- Department of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche - "Mario Negri", Milano, Italy
| | - Michela Magnoli
- Department of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche - "Mario Negri", Milano, Italy
| | - Inder S Anand
- Division of Cardiovascular Medicine, University of Minnesota, Minneapolis, MN, USA; Department of Cardiology, VA Medical Centre, Minneapolis, MN, USA
| | - Jay N Cohn
- Division of Cardiovascular Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Luigi Tavazzi
- GVM Hospitals of Care and Research, E.S. Health Science Foundation, Cotignola, Italy
| | - Gianni Tognoni
- Department of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche - "Mario Negri", Milano, Italy
| | - Jørgen Gravning
- Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway; Centre for Heart Failure Research, University of Oslo, Oslo, Norway
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Faculty of Medicine, University of Oslo, Oslo, Norway; K. G. Jebsen Thrombosis Research and Expertise Centre, University of Tromsø, Tromsø, Norway
| | - Ståle H Nymo
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | | | | | - Josep Lupón
- Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain
| | | | - Akiomi Yoshihisa
- Department of Cardiovascular Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yasuchika Takeishi
- Department of Cardiovascular Medicine, Fukushima Medical University, Fukushima, Japan
| | - Michael Egstrup
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Ida Gustafsson
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Hanna K Gaggin
- Massachusetts General Hospital, Harvard Clinical Research Institute, Boston, MA, USA
| | - Kai M Eggers
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
| | - Kurt Huber
- Faculty of Internal Medicine, Wilhelminenspital and Sigmund Freud University, Medical School, Vienna, Austria
| | - Ioannis Tentzeris
- Faculty of Internal Medicine, Wilhelminenspital and Sigmund Freud University, Medical School, Vienna, Austria
| | - W H Wilson Tang
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Justin L Grodin
- Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Centre, Dallas, TX, USA
| | - Claudio Passino
- Scuola Superiore Sant'Anna, Pisa, Italy; Fondazione Toscana G. Monasterio, Pisa, Italy
| | - Michele Emdin
- Scuola Superiore Sant'Anna, Pisa, Italy; Fondazione Toscana G. Monasterio, Pisa, Italy
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