Evidence map›Paper›PMID 39016414›Full record

ArticleArquivos brasileiros de cardiologia2024

Association of Pan Immune-Inflammation Value with Long Term Outcomes of Acute Decompensated Heart Failure.

Bektas Murat, Selda Murat, Mehmet Eren Altınbas, Halit Emre Yalvac, Fatih Enes Durmaz, Kadir Ugur Mert, Yüksel Cavusoglu

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  6. A New Perspective on NSTE-ACS Patients in the Emergency Department: Cardiac Risk Prediction with New Inflammation Markers.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

7 authors.

Bektas MuratEskisehir City Hospital, Department of Cardiology, Eskisehir - Turquia.ORCID 0000-0002-6564-7185
Selda MuratEskisehir Osmangazi University, Medicine Faculty Department of Cardiology, Eskisehir - Turquia.ORCID 0000-0002-3935-0222
Mehmet Eren AltınbasSivas Numune Hospital, Department of Cardiology, Sivas - Turquia.ORCID 0000-0002-8805-3224
Halit Emre YalvacEskisehir City Hospital, Department of Cardiology, Eskisehir - Turquia.ORCID 0000-0003-2620-9948
Fatih Enes DurmazEskisehir Osmangazi University, Medicine Faculty Department of Cardiology, Eskisehir - Turquia.ORCID 0000-0002-9688-110X
Kadir Ugur MertEskisehir Osmangazi University, Medicine Faculty Department of Cardiology, Eskisehir - Turquia.ORCID 0000-0002-1331-5365
Yüksel CavusogluEskisehir Osmangazi University, Medicine Faculty Department of Cardiology, Eskisehir - Turquia.ORCID 0000-0002-4027-9873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there have been significant improvements in the treatment of heart failure (HF) in recent decades, its prognosis remains poor. Although there are many biomarkers that can help predict the prognosis of patients with HF, there is a need for simpler, cheaper, and more easily available biomarkers.

objectiveTo evaluate the predictive value of pan-immune-inflammation value (PIV) in patients with acute decompensated HF.

methodsWe analyzed 409 patients with HF with reduced ejection fraction who were hospitalized for acute decompensated HF. Patients were divided into 3 groups according to tertiles of PIV: tertile 1 (PIV < 357.25), tertile 2 (PIV ≥ 357.25 and < 834.55), and tertile 3 (PIV ≥ 834.55). P values < 0.05 were considered statistically significant. Kaplan-Meier curves and Cox proportional hazards regression models were used to evaluate the association between PIV and all-cause mortality. The primary outcome was 5-year all-cause mortality, and the secondary outcomes were in-hospital 30 days,, 180-day, and 1-year all-cause mortality.

resultsWe showed that higher PIV value was associated with both primary and secondary outcomes. The Kaplan-Meier curve showed that patients with higher PIV values had an increased risk of short- and long-term all-cause mortality (log-rank p < 0.001). In the multivariate analysis, PIV was identified as an independent predictor of long-term all-cause mortality in patients with acute decompensated HF, and we observed a 1.96-fold increase in the hazard of an event (odds ratio: 1.96, 95% confidence interval: 1.330 to 2.908, p = 0.001).

conclusionsOur study showed that the novel biomarker PIV can be used as a predictor of prognosis in patients with acute decompensated HF.

Indexed as

BiomarkersHeart FailureAcute DiseaseAgedFemaleHumansInflammationKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsReference ValuesRisk FactorsStroke VolumeBiomarkers

Identifiers

PMID39016414
PMCPMC12080690

What Socratic holds

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Registered trials

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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.