Literature DB >> 27730492

Creation and validation of the acute heart failure risk score: AHFRS.

Susana Garcia-Gutierrez1, José Maria Quintana2, Ane Antón-Ladislao2, Maria Soledad Gallardo3, Esther Pulido3, Irene Rilo4, Elena Zubillaga5, Miren Morillas6, José Juan Onaindia6, Nekane Murga7, Ricardo Palenzuela8, José González Ruiz6.   

Abstract

Our aims were to create and validate a clinical decision rule to assess severity in acute heart failure. We conducted a prospective cohort study of patients with symptoms of acute heart failure who attended the emergency departments (EDs) of three hospitals between April 2011 and April 2013. The following data were collected on arrival to or during the stay in the ED: baseline severity of symptoms; presence of decompensated comorbidities; number of hospital admissions/visits to EDs for acute heart failure during the previous 24 months; triggers of the exacerbation; clinical signs and symptoms; results of ancillary tests requested in the ED; treatments prescribed; and response to the initial treatment in the ED. The main outcome was poor course during the acute phase, in-hospital for admitted patients and during the first week following the ED visit for discharged patients, this being a composite endpoint that included death, admission to an intensive care unit, need for invasive mechanical ventilation, cardiac arrest and use of non-invasive mechanical ventilation. Multivariate logistic regression models were developed. Predictors of poor course in acute heart failure were oedema on chest radiography, visits to the ED and/or admissions in the previous two years, and levels of glycemia and blood urea nitrogen (areas under the curve of 0.83 in the derivation sample, and 0.82 in the validation sample). Four clinical predictors available in the ED can be used to create a simple score to predict poor course in acute heart failure.Clinical Trials.gov ID: NCT02437058.

Entities:  

Keywords:  Acute heart failure; Prognosis; Risk stratification

Mesh:

Year:  2016        PMID: 27730492     DOI: 10.1007/s11739-016-1541-4

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  32 in total

Review 1.  Methodologic standards for the development of clinical decision rules in emergency medicine.

Authors:  I G Stiell; G A Wells
Journal:  Ann Emerg Med       Date:  1999-04       Impact factor: 5.721

2.  A new approach to categorising continuous variables in prediction models: Proposal and validation.

Authors:  Irantzu Barrio; Inmaculada Arostegui; María-Xosé Rodríguez-Álvarez; José-María Quintana
Journal:  Stat Methods Med Res       Date:  2015-09-18       Impact factor: 3.021

3.  A prediction rule to identify low-risk patients with heart failure.

Authors:  Thomas E Auble; Margaret Hsieh; William Gardner; Gregory F Cooper; Roslyn A Stone; Julie B McCausland; Donald M Yealy
Journal:  Acad Emerg Med       Date:  2005-06       Impact factor: 3.451

Review 4.  Transitional care interventions to prevent readmissions for persons with heart failure: a systematic review and meta-analysis.

Authors:  Cynthia Feltner; Christine D Jones; Crystal W Cené; Zhi-Jie Zheng; Carla A Sueta; Emmanuel J L Coker-Schwimmer; Marina Arvanitis; Kathleen N Lohr; Jennifer C Middleton; Daniel E Jonas
Journal:  Ann Intern Med       Date:  2014-06-03       Impact factor: 25.391

5.  Serum blood urea nitrogen and plasma brain natriuretic Peptide and low diastolic blood pressure predict cardiovascular morbidity and mortality following discharge in acute decompensated heart failure patients.

Authors:  Chun-Yen Chen; Akemi Yoshida; Masanori Asakura; Takuya Hasegawa; Hiroyuki Takahama; Makoto Amaki; Akira Funada; Hiroshi Asanuma; Hiroyuki Yokoyama; Jiyoong Kim; Hideaki Kanzaki; Masafumi Kitakaze
Journal:  Circ J       Date:  2012-07-04       Impact factor: 2.993

6.  Repeated hospitalizations predict mortality in the community population with heart failure.

Authors:  Soko Setoguchi; Lynne Warner Stevenson; Sebastian Schneeweiss
Journal:  Am Heart J       Date:  2007-08       Impact factor: 4.749

7.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.

Authors:  G S Collins; J B Reitsma; D G Altman; K G M Moons
Journal:  BJOG       Date:  2015-02       Impact factor: 6.531

8.  Presentation blood glucose and death, hospitalization, and future diabetes risk in patients with acute heart failure syndromes.

Authors:  Maneesh Sud; Xuesong Wang; Peter C Austin; Lorraine L Lipscombe; Gary E Newton; Jack V Tu; Ramachandran S Vasan; Douglas S Lee
Journal:  Eur Heart J       Date:  2015-01-08       Impact factor: 29.983

9.  The challenge of heart failure discharge from the emergency department.

Authors:  Edwin C Ho; Michael J Schull; Douglas S Lee
Journal:  Curr Heart Fail Rep       Date:  2012-09

10.  Prognostic implication of physical signs of congestion in acute heart failure patients and its association with steady-state biomarker levels.

Authors:  Sayoko Negi; Mitsuaki Sawano; Shun Kohsaka; Taku Inohara; Yasuyuki Shiraishi; Takashi Kohno; Yuichiro Maekawa; Motoaki Sano; Tsutomu Yoshikawa; Keiichi Fukuda
Journal:  PLoS One       Date:  2014-05-06       Impact factor: 3.240

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1.  Validation and derivation of short-term prognostic risk score in acute decompensated heart failure in China.

Authors:  Hong-Liang Zhao; Xiao-Li Gao; Ying-Hua Liu; Sen-Lin Li; Qi Zhang; Wei-Chao Shan; Qun Zheng; Jiang Zhou; Yong-Zheng Liu; Li Liu; Nan Guo; Hong-Sen Tian; Qing-Min Wei; Xi-Tian Hu; Ying-Kai Cui; Xue Geng; Qian Wang; Wei Cui
Journal:  BMC Cardiovasc Disord       Date:  2022-07-07       Impact factor: 2.174

2.  Risk stratification scores for patients with acute heart failure in the Emergency Department: A systematic review.

Authors:  Òscar Miró; Xavier Rossello; Elke Platz; Josep Masip; Danielle M Gualandro; W Frank Peacock; Susanna Price; Louise Cullen; Salvatore DiSomma; Mucio Tavares de Oliveira; John Jv McMurray; Francisco J Martín-Sánchez; Alan S Maisel; Christiaan Vrints; Martin R Cowie; Héctor Bueno; Alexandre Mebazaa; Christian Mueller
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2020-08

3.  Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.

Authors:  Ashwath Radhachandran; Anurag Garikipati; Nicole S Zelin; Emily Pellegrini; Sina Ghandian; Jacob Calvert; Jana Hoffman; Qingqing Mao; Ritankar Das
Journal:  BioData Min       Date:  2021-03-31       Impact factor: 2.522

4.  Risk stratification in heart failure decompensation in the community: HEFESTOS score.

Authors:  José-María Verdu-Rotellar; Rosa Abellana; Helene Vaillant-Roussel; Lea Gril Jevsek; Radost Assenova; Djurdjica Kasuba Lazic; Peter Torsza; Liam George Glynn; Heidrun Lingner; Jacopo Demurtas; Hans Thulesius; Miguel Angel Muñoz
Journal:  ESC Heart Fail       Date:  2021-11-22

5.  Improving the EHMRG Prognostic Evaluation of Acute Heart Failure with TAPSE/PASp: A Sequential Approach.

Authors:  Lorenzo Falsetti; Vincenzo Zaccone; Giovanna Viticchi; Agnese Fioranelli; Ilaria Diblasi; Emanuele Guerrieri; Consuelo Ferrini; Mattia Scarponi; Luca Giuliani; Caterina Scalpelli; Marianna Martino; Adolfo Pansoni; Marinella Luccarini; Maurizio Burattini; Gianluca Moroncini; Nicola Tarquinio
Journal:  Diagnostics (Basel)       Date:  2022-02-13
  5 in total

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