Evidence map›Paper›PMID 38576988›Full record

ArticleAnnals of medicine and surgery (2012)2024

The modified Rajan's heart failure risk score predicts all-cause mortality in patients hospitalized for heart failure with reduced ejection fraction: a retrospective cohort study.

Rajesh Rajan, Jeremy Man Ho Hui, Mohammad A Al Jarallah, Gary Tse, Jeffrey Shi Kai Chan, Danish Iltaf Satti, Chloe Tsz Ching Hui, Yuxi Sun, Yan Hiu Athena Lee, Ying Liu and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 6 countries.

Rajesh RajanDepartment of Cardiology, Sabah Al Ahmad Cardiac Center, Kuwait City, Kuwait.
Jeremy Man Ho HuiHeart Failure and Structural Heart Disease Unit, Cardiovascular Analytics Group, Hong Kong, China-United Kingdom collaboration.
Mohammad A Al JarallahDepartment of Cardiology, Sabah Al Ahmad Cardiac Center, Kuwait City, Kuwait.
Gary TseHeart Failure and Structural Heart Disease Unit, Cardiovascular Analytics Group, Hong Kong, China-United Kingdom collaboration.
Jeffrey Shi Kai ChanHeart Failure and Structural Heart Disease Unit, Cardiovascular Analytics Group, Hong Kong, China-United Kingdom collaboration.
Danish Iltaf SattiHeart Failure and Structural Heart Disease Unit, Cardiovascular Analytics Group, Hong Kong, China-United Kingdom collaboration.
Chloe Tsz Ching HuiHeart Failure and Structural Heart Disease Unit, Cardiovascular Analytics Group, Hong Kong, China-United Kingdom collaboration.
Yuxi SunHeart Failure and Structural Cardiology Division, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yan Hiu Athena LeeHeart Failure and Structural Heart Disease Unit, Cardiovascular Analytics Group, Hong Kong, China-United Kingdom collaboration.
Ying LiuHeart Failure and Structural Cardiology Division, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Govindan VijayaraghavanDepartment of Cardiology, Kerala Institute of Medical Sciences, Kerala, India.
Ibrahim Al-ZakwaniDepartment of Pharmacology & Clinical Pharmacy, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Oman & Gulf Health Research, Muscat, Oman.
Laura AlObaidDepartment of Medicine, Faculty of Medicine, Royal College of Surgeons, Dublin, Ireland.
Al-Sabah Hospital · KWUniversity of Hong Kong · HKDalian Medical University · CNFirst Affiliated Hospital of Dalian Medical University · CNKerala Institute of Medical Sciences · INRoyal College of Surgeons in Ireland · IESultan Qaboos University · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The dimensionless Rajan's heart failure (R-hf) risk score was proposed to predict all-cause mortality in patients hospitalized with chronic heart failure (HF) and reduced ejection fraction (EF) (HFrEF). Purpose: To examine the association between the modified R-hf risk score and all-cause mortality in patients with HFrEF. Methods: Retrospective cohort study included adults hospitalized with HFrEF, as defined by clinical symptoms of HF with biplane EF less than 40% on transthoracic echocardiography, at a tertiary centre in Dalian, China, between 1 November 2015, and 31 October 2019. All patients were followed up until 31 October 2020. A modified R-hf risk score was calculated by substituting brain natriuretic peptide (BNP) for N-terminal prohormone of BNP (NT-proBNP) using EF× estimated glomerular filtration rate (eGFR)× haemoglobin (Hb))/BNP. The patients were stratified into tertiles according to the R-hf risk score. The measured outcome was all-cause mortality. The score performance was assessed using C-statistics. Results: A total of 840 patients were analyzed (70.2% males; mean age, 64±14 years; median (interquartile range) follow-up 37.0 (27.8) months). A lower modified R-hf risk score predicted a higher risk of all-cause mortality, independent of sex and age [1st tertile vs. 3rd tertile: adjusted hazard ratio (aHR), 3.46; 95% CI: 2.11-5.67; Conclusion: The modified R-hf risk score predicted all-cause mortality in patients hospitalized with HFrEF. Further validation of the modified R-hf risk score in other cohorts of patients with HFrEF is needed before clinical application.

Indexed as

Asiachronic heart failureheart failure reduced ejection fractionmortalityR-hf risk score

Identifiers

PMID38576988
PMCPMC10990347
OpenAlexW4392197016

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.