Literature DB >> 25358483

Predicting Outcomes Using the Heart Failure Survival Score in Adults with Moderate or Complex Congenital Heart Disease.

Elaine Y Lin1, Hillel W Cohen2, Ami B Bhatt3, Ada Stefanescu3, David Dudzinski3, Doreen DeFaria Yeh3, Jacob Johnson3, George K Lui1,4.   

Abstract

BACKGROUND: Adults with congenital heart disease (CHD) face increased risk for morbidity and mortality with age, but few prognostic models exist.
OBJECTIVE: This study aims to assess whether the Heart Failure Survival Score (HFSS), which risk stratifies patients for heart transplantation, predicts outcomes in adults with moderate or complex CHD.
METHODS: This was a multicenter, retrospective study which identified 441 patients with moderate or complex CHD between 2005 and 2013, of whom 169 had all the HFSS parameters required to calculate the risk score. Because all study patients were deemed low risk by the HFSS, the score was dichotomized at the median (10.4). Outcomes included death, transplant or ventricular assist device (VAD), arrhythmia requiring treatment, nonelective cardiovascular (CV) hospitalizations, and the composite. Associations of mean HFSS and HFSS <10.4 with each outcome were assessed.
RESULTS: The cohort had mean ± standard deviation age of 33.6 ± 12.6 years, peak VO2 21.8 ± 7.5 mL/kg/min, HFSS of 10.45 ± 0.88, and median years follow-up of 2.7 (1.1, 5.2). There were five deaths (2.8%), no transplants or VADs, 25 arrhythmias (14.8%), 22 CV hospitalizations (13%), and 39 composites (23.1%). Lower mean HFSS was observed for patients who died (9.6 ± 0.83 vs. 10.5 ± 0.87, P = .02), arrhythmia requiring treatment (10.0 ± 0.70 vs. 10.5 ± 0.89, P = .005), CV hospitalizations (9.9 ± 0.73 vs. 10.5 ± 0.88, P = .002), and the composite (10.0 ± 0.70 vs. 10.6 ± 0.89, P < .001). The positive and negative predictive values of HFSS <10.4 for the composite were 34% and 88% respectively, with sensitivity and specificity 74% and 56%.
CONCLUSIONS: Although a low HFSS was significantly associated with outcomes, it did not adequately risk stratify adults with CHD, whose heterogeneous pathophysiology differs from that of the acquired heart failure population. Further studies are warranted to provide a more accurate prognosis.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  ACHD; Model; Morbidity; Mortality; Prognosis; Risk

Mesh:

Year:  2014        PMID: 25358483      PMCID: PMC4417083          DOI: 10.1111/chd.12229

Source DB:  PubMed          Journal:  Congenit Heart Dis        ISSN: 1747-079X            Impact factor:   2.007


  21 in total

1.  Comprehensive use of cardiopulmonary exercise testing identifies adults with congenital heart disease at increased mortality risk in the medium term.

Authors:  Ryo Inuzuka; Gerhard-Paul Diller; Francesco Borgia; Leah Benson; Edgar L W Tay; Rafael Alonso-Gonzalez; Margarida Silva; Menelaos Charalambides; Lorna Swan; Konstantinos Dimopoulos; Michael A Gatzoulis
Journal:  Circulation       Date:  2011-12-06       Impact factor: 29.690

2.  Congenital heart disease in the general population: changing prevalence and age distribution.

Authors:  Ariane J Marelli; Andrew S Mackie; Raluca Ionescu-Ittu; Elham Rahme; Louise Pilote
Journal:  Circulation       Date:  2007-01-08       Impact factor: 29.690

3.  Usefulness of the Seattle Heart Failure Model to identify adults with congenital heart disease at high risk of poor outcome.

Authors:  Ada Stefanescu; Eric A Macklin; Elaine Lin; David M Dudzinski; Jacob Johnson; Kevin F Kennedy; Daniel Jacoby; Doreen DeFaria Yeh; Gregory D Lewis; Robert W Yeh; Richard Liberthson; George Lui; Ami B Bhatt
Journal:  Am J Cardiol       Date:  2013-12-12       Impact factor: 2.778

4.  Development and prospective validation of a clinical index to predict survival in ambulatory patients referred for cardiac transplant evaluation.

Authors:  K D Aaronson; J S Schwartz; T M Chen; K L Wong; J E Goin; D M Mancini
Journal:  Circulation       Date:  1997-06-17       Impact factor: 29.690

5.  Identifying high risk in adults with congenital heart disease and atrial arrhythmias.

Authors:  Sing-Chien Yap; Louise Harris; Vijay S Chauhan; Erwin N Oechslin; Candice K Silversides
Journal:  Am J Cardiol       Date:  2011-06-20       Impact factor: 2.778

Review 6.  Congenital heart disease: the original heart failure syndrome.

Authors:  Aidan P Bolger; Andrew J S Coats; Michael A Gatzoulis
Journal:  Eur Heart J       Date:  2003-05       Impact factor: 29.983

7.  The Seattle Heart Failure Model: prediction of survival in heart failure.

Authors:  Wayne C Levy; Dariush Mozaffarian; David T Linker; Santosh C Sutradhar; Stefan D Anker; Anne B Cropp; Inder Anand; Aldo Maggioni; Paul Burton; Mark D Sullivan; Bertram Pitt; Philip A Poole-Wilson; Douglas L Mann; Milton Packer
Journal:  Circulation       Date:  2006-03-13       Impact factor: 29.690

8.  Hyponatraemia: A strong predictor of mortality in adults with congenital heart disease.

Authors:  Konstantinos Dimopoulos; Gerhard-Paul Diller; Ricardo Petraco; Evdokia Koltsida; Georgios Giannakoulas; Edgar Lik Tay; Nicky Best; Massimo F Piepoli; Darrel P Francis; Philip A Poole-Wilson; Michael A Gatzoulis
Journal:  Eur Heart J       Date:  2009-11-23       Impact factor: 29.983

9.  Prevalence, predictors, and prognostic value of renal dysfunction in adults with congenital heart disease.

Authors:  Konstantinos Dimopoulos; Gerhard-Paul Diller; Evdokia Koltsida; Antonia Pijuan-Domenech; Sofia A Papadopoulou; Sonya V Babu-Narayan; Tushar V Salukhe; Massimo F Piepoli; Philip A Poole-Wilson; Nicky Best; Darrel P Francis; Michael A Gatzoulis
Journal:  Circulation       Date:  2008-04-28       Impact factor: 29.690

10.  Mechanoelectrical interaction in tetralogy of Fallot. QRS prolongation relates to right ventricular size and predicts malignant ventricular arrhythmias and sudden death.

Authors:  M A Gatzoulis; J A Till; J Somerville; A N Redington
Journal:  Circulation       Date:  1995-07-15       Impact factor: 29.690

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  4 in total

1.  Hospital resource utilization and presence of advance directives at the end of life for adults with congenital heart disease.

Authors:  Jill M Steiner; James N Kirkpatrick; Susan R Heckbert; James Sibley; James A Fausto; Ruth A Engelberg; J Randall Curtis
Journal:  Congenit Heart Dis       Date:  2018-09-19       Impact factor: 2.007

2.  Advance care planning and palliative care in ACHD: the healthcare providers' perspective.

Authors:  Jill M Steiner; Erwin N Oechslin; Gruschen Veldtman; Craig S Broberg; Karen Stout; James Kirkpatrick; Adrienne H Kovacs
Journal:  Cardiol Young       Date:  2020-02-14       Impact factor: 1.093

3.  Relationship Between Serum B7-H3 Levels and Prognosis of Congenital Heart Disease in Children.

Authors:  Rufang Zhang; Jin Gong; Shouqing Wang; Li Shen; Yewei Xie; Xiaobing Li
Journal:  Pediatr Cardiol       Date:  2018-10-17       Impact factor: 1.655

Review 4.  Heart Failure Risk Predictions and Prognostic Factors in Adults With Congenital Heart Diseases.

Authors:  Patryk Leczycki; Maciej Banach; Marek Maciejewski; Agata Bielecka-Dabrowa
Journal:  Front Cardiovasc Med       Date:  2022-02-24
  4 in total

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