Evidence map›Paper›PMID 28690311›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Predictors of Long-Term Mortality and Frequent Re-Hospitalization in Patients with Acute Decompensated Heart Failure and Kidney Dysfunction Treated with Renin-Angiotensin System Blockers.

Canan Baydemir, Dilek Ural, Kurtuluş Karaüzüm, Sibel Balci, Onur Argan, Irem Karaüzüm, Güliz Kozdağ, Ayşen A Ağır

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. 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
0.5field-weighted citation impact, top 30% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Differential and Predictive Value of Galectin-3 and Soluble Suppression of Tumorigenicity-2 (sST2) in Heart Failure with Preserved Ejection Fraction.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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

8 authors at 2 institutions in 1 country.

Canan BaydemirDepartment of Biostatistics and Medical Informatics, Kocaeli University, School of Medicine, Kocaeli, Turkey.
Dilek UralDepartment of Cardiology, Koç University, School of Medicine, Istanbul, Turkey.
Kurtuluş KaraüzümDepartment of Cardiology, Derince Education and Research Hospital, Kocaeli, Turkey.
Sibel BalciDepartment of Biostatistics and Medical Informatics, Kocaeli University, School of Medicine, Kocaeli, Turkey.
Onur ArganDepartment of Cardiology, Kocaeli State Hospital, Kocaeli, Turkey.
Irem KaraüzümDepartment of Cardiology, Izmit Seka State Hospital, Kocaeli, Turkey.
Güliz KozdağDepartment of Cardiology, Kocaeli University, School of Medicine, Kocaeli, Turkey.
Ayşen A AğırDepartment of Cardiology, Kocaeli University, School of Medicine, Kocaeli, Turkey.
Kocaeli Üniversitesi · TRKoç University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Assessment of risk for all-cause mortality and re-hospitalization is an important task during discharge of acute heart failure (AHF) patients, as they warrant different management strategies. Treatment with optimal medical therapy may change predictors for these 2 end-points in AHF patients with renal dysfunction. The aim of this study was to evaluate the predictors for long-term outcome in AHF patients with kidney dysfunction who were discharged on optimal medical therapy. MATERIAL AND METHODS The study was conducted retrospectively. The study group consisted of 225 AHF patients with moderate-to-severe kidney dysfunction, who were hospitalized at Kocaeli University Hospital Cardiology Clinic and who were prescribed beta-blockers and ACE-inhibitors or angiotensin II receptor blockers at discharge. Clinical, echocardiographic, and biochemical predictors of the composite of total mortality and frequent re-hospitalization (≥3 hospitalizations during the follow-up) were assessed using Cox regression and the predictors for each end-point were assessed by competing risk regression analysis. RESULTS Incidence of all-cause mortality was 45.3% and frequent readmissions were 49.8% in a median follow-up of 54 months. The associates of the composite end-point were age, NYHA class, respiration rate on admission, eGFR, hypoalbuminemia, mitral valve E/E' ratio, and ejection fraction. In competing risk regression analysis, right-sided HF, hypoalbuminemia, age, and uric acid appeared as independent associates of all-cause mortality, whereas NYHA class, NT-proBNP, mitral valve E/E' ratio, and uric acid were predictors for re-hospitalization. CONCLUSIONS Predictors for all-cause mortality in AHF with kidney dysfunction treated with optimal therapy are mainly related to advanced HF with right-sided dysfunction, whereas frequent re-hospitalization is associated with volume overload manifested by increased mitral E/E' ratio and NT-proBNP levels.

Indexed as

HospitalizationRenin-Angiotensin SystemAcute DiseaseAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsFemaleHeart FailureHumansKidneyMalePrognosisProportional Hazards ModelsRisk FactorsROC CurveAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor Antagonists

Identifiers

PMID28690311
PMCPMC5515119
OpenAlexW2731213788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-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.