Evidence map›Paper›PMID 37528635›Full record

ArticleESC heart failure2023

Impact of age on characteristics, performance measures and outcomes of inpatients for heart failure in Beijing, China.

Cong Yuan, Liu He, Xin Du, Chao Jiang, Shi-Jun Xia, Xin Zhao, Song-Nan Li, Cai-Hua Sang, De-Yong Long, Jian-Zeng Dong and 1 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

11 authors at 3 institutions in 3 countries.

Cong YuanDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Liu HeDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Xin DuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Chao JiangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Shi-Jun XiaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Xin ZhaoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Song-Nan LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Cai-Hua SangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
De-Yong LongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Jian-Zeng DongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Chang-Sheng MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Beijing, China.
Beijing Anzhen Hospital · CNNational Clinical Research Center for Digestive Diseases · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aims to provide representative information on heart failure (HF) patients in China, especially older adults aged ≥75 years. We aim to clarify the age-related discrepancies in performance measures and the modifying effect of age on the impact of HF patients' characteristics on clinical outcomes. METHODS AND

resultsAll HF patients admitted into five tertiary and four secondary hospitals of the Capital Medical University were divided into two groups according to age: 1419 (53.3%) were <75 years, and 1244 (46.7%) were ≥75 years. Older HF patients were more likely to be women, with higher left ventricular ejection fraction, with co-morbidities including chronic obstructive pulmonary disease/asthma, anaemia, chronic kidney disease, stroke/transient ischemic attack (TIA), atrial fibrillation/atrial flutter, hypertension, and coronary artery disease, while obesity, diabetes mellitus, hypercholesterolaemia and valvular heart disease were more prevalent among younger HF patients. Left ventricular ejection fraction assessment was performed in a similar proportion of patients in the younger and older groups (81.7% vs. 80.5%, P = 0.426), while B-type natriuretic peptide/N terminal pro brain natriuretic peptide was tested in a lower proportion in the younger group (84.8% vs. 89%, P = 0.001). At discharge, HF with reduced ejection fraction patients were less likely to receive beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers, or combined beta-blockers and angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers therapy in the older group (49.74% vs. 63.2%, P = 0.002; 52.9% vs. 64.7%, P = 0.006; and 28.57% vs. 45.5%, P < 0.001, respectively) but were equally likely to receive mineralocorticoid receptor antagonists in the two age groups (80.8% vs. 84.1%, P = 0.322). Older patients with HF had higher risk of in-hospital and 1 year mortality (2.7% vs. 1.3%, P = 0.011; 21.7% vs. 12.5%; P < 0.001, respectively). Higher body mass index was associated with better outcomes in both age groups. New York Heart Association functional class IV and estimated glomerular filtration rate < 60 mL/min/1.73 m

conclusionsHF patients aged ≥75 years had distinct clinical profiles, received worse in-hospital therapies and experienced higher in-hospital and 1 year mortality.

Indexed as

Atrial FibrillationHeart FailureAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsBeijingChinaFemaleHumansInpatientsMaleStroke VolumeVentricular Function, LeftAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAgeHeart failureMortalityPerformance measure

Identifiers

PMID37528635
PMCPMC10567638
OpenAlexW4385476197

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.