Evidence map›Paper›PMID 36414822›Full record

ArticleInternational journal of clinical pharmacy2023

Development of a model predicting cardiac events in heart failure patients with decreased renal function: a retrospective study.

Tomokazu Deguchi, Miki Sato, Noriko Kohyama, Kanako Fujita, Sakura Nagumo, Hiroshi Suzuki, Mio Ebato, Mari Kogo

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Article in International journal of clinical pharmacy, 2023. 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
–field-weighted citation impact, top 72% 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, 0 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

8 authors at 2 institutions in 1 country.

Tomokazu DeguchiDivision of Pharmacotherapeutics, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa, Tokyo, 142-8555, Japan. deguchi@cmed.showa-u.ac.jp.ORCID http://orcid.org/0000-0001-7724-5282
Miki SatoDivision of Pharmacotherapeutics, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa, Tokyo, 142-8555, Japan.ORCID http://orcid.org/0000-0002-0474-2007
Noriko KohyamaDivision of Pharmacotherapeutics, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa, Tokyo, 142-8555, Japan.ORCID http://orcid.org/0000-0002-4681-5833
Kanako FujitaDivision of Pharmacotherapeutics, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa, Tokyo, 142-8555, Japan.
Sakura NagumoDivision of Cardiology, Department of Internal Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.ORCID http://orcid.org/0000-0001-9714-8594
Hiroshi SuzukiDivision of Cardiology, Department of Internal Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.ORCID http://orcid.org/0000-0002-8698-7357
Mio EbatoDivision of Cardiology, Department of Internal Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.ORCID http://orcid.org/0000-0001-8594-1552
Mari KogoDivision of Pharmacotherapeutics, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa, Tokyo, 142-8555, Japan.ORCID http://orcid.org/0000-0001-7553-0872
Showa University · JPShowa University Fujigaoka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInappropriate and multiple medications affect the prognosis of patients with acute decompensated heart failure (ADHF). However, in ADHF patients with decreased renal function, there have been no reports on prognostic factors, including medication data, or models for predicting cardiac events.

aimTo develop a model including medication data to predict cardiac events in ADHF patients with decreased renal function.

methodThis retrospective cohort study included 443 first-time admitted ADHF patients with decreased renal function (estimated glomerular filtration rate < 60 mL/min/1.73 m

resultsThe incidence of cardiac events within one year after discharge was 20.1%. By multivariable analysis, we observed that atrial fibrillation, weight loss < 5%, brain natriuretic peptide ≥ 200 pg/mL, polypharmacy, and beta-blockers use below target dosage were significantly associated with an increased risk of cardiac events. The developed model, the cardiac events rate in the high-risk group was significantly higher than in the low-risk group (41.0 vs. 9.2%, p < 0.001).

conclusionThe developed model for predicting cardiac events will be useful in decision-making to support appropriate early management of ADHF patients with decreased renal function.

Indexed as

Heart FailureAcute DiseaseHospitalizationHumansKidneyPrognosisRetrospective StudiesBeta-blockers dosageCardiac eventsDecreased renal functionHeart failurePolypharmacyPrognostic model

Identifiers

PMID36414822
OpenAlexW4309650687

What OpenQuestion holds

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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 OpenQuestion graph.