ArticleInternal and emergency medicine2017
Creation and validation of the acute heart failure risk score: AHFRS.
Article in Internal and emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02437058 (Validition of Scales for the Assessment of Sverity in Acute Decompensated Heart Failure), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Validition of Scales for the Assessment of Sverity in Acute Decompensated Heart Failure
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk stratification scores for patients with acute heart failure in the Emergency Department: A systematic review.European heart journal. Acute cardiovascular care · 2020Pooled it
- Article
- The HEARTRISK6 Scale: Predicting Short-Term Serious Outcomes in Emergency Department Acute Heart Failure Patients.JACC. Advances · 2024Article
- Physicians' Perceptions of Clinical Decision Support to Treat Patients With Heart Failure in the ED.JAMA network open · 2023Article
- Article
- Validation and derivation of short-term prognostic risk score in acute decompensated heart failure in China.BMC cardiovascular disorders · 2022Article
- Improving the EHMRG Prognostic Evaluation of Acute Heart Failure with TAPSE/PASp: A Sequential Approach.Diagnostics (Basel, Switzerland) · 2022Article
- Risk stratification in heart failure decompensation in the community: HEFESTOS score.ESC heart failure · 2022Article
- Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.BioData mining · 2021Article
- Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.