Evidence map›Paper›PMID 40579231›Full record

Observational studyOpen heart2025

Palliative Performance Scale predicts mortality in cardiac intensive care unit.

Laura Sofia Cardelli, Lorenzo Gamberini, Beatrice Dal Passo, Silvia Zagnoni, Francesca Sciarra, Federica Frascaro, Alice Vitagliano, Valeria Carinci, Maria Laura Canale, Gianni Casella

Abstract readObservational Study
In one paragraph

Observational study in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

10 authors.

Laura Sofia CardelliCardiology Department, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy cardellilaura.med@gmail.com.ORCID 0000-0003-4454-1864
Lorenzo GamberiniDepartment of Anesthesia, Intensive Care and Prehospital Emergency, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy.ORCID 0000-0002-4364-9163
Beatrice Dal PassoCardiology Department, Università degli Studi di Ferrara, Ferrara, Emilia-Romagna, Italy.ORCID 0000-0002-5515-853X
Silvia ZagnoniCardiology Department, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy.ORCID 0000-0002-7357-7578
Francesca SciarraCardiology Department, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy.
Federica FrascaroCardiology Department, Università degli Studi di Ferrara, Ferrara, Emilia-Romagna, Italy.ORCID 0009-0008-3166-0542
Alice VitaglianoCardiology Department, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy.
Valeria CarinciCardiology Department, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy.
Maria Laura CanaleCardiology Department, Ospedale Versilia, Lido di Camaiore, Toscana, Italy.
Gianni CasellaCardiology Department, Ospedale Maggiore Carlo Alberto Pizzardi, Bologna, Emilia-Romagna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ageing population has led to an increased prevalence of chronic diseases, posing challenges for the management of critically ill cardiac patients with multiple comorbidities. The Palliative Performance Scale (PPS), initially developed for terminally ill cancer patients, has shown prognostic value in various medical settings but remains understudied in cardiac intensive care units (CICUs). This study evaluates the PPS as a prognostic tool for in-hospital and 1-year all-cause mortality in CICU patients.

methodsWe conducted a single-centre, prospective, observational study at the Maggiore Hospital in Bologna, including 1131 patients admitted to the CICU between August 2022 and November 2023. Patients were stratified into two groups based on their PPS at admission (≤70 and >70). Multivariable regression models were used to assess predictors of mortality, and Kaplan-Meier survival curves were generated. Model accuracy and calibration were evaluated using receiver operating characteristic curves and the Hosmer-Lemeshow test.

resultsPatients with PPS ≤70 had significantly higher 1-year all-cause mortality (37.0% vs 9.8%, p<0.001) and in-hospital all-cause mortality (17.7% vs 3.3%, p<0.001). In the multivariable regression models, PPS emerged as an independent predictor of both 1-year and in-hospital all-cause mortality, along with age and Sequential Organ Failure Assessment score. The models demonstrated good discriminatory performance (area under the curve of 0.841 for 1-year mortality, 0.862 for in-hospital mortality) and acceptable calibration.

conclusionsThe PPS is a reliable and independent predictor of mortality in CICU patients. Incorporating PPS into clinical practice may enhance risk stratification, guide decision-making and optimise resource allocation in this high-risk population.

Indexed as

Coronary Care UnitsHeart DiseasesIntensive Care UnitsPalliative CareAgedAged, 80 and overCritical IllnessFemaleHospital MortalityHumansItalyMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesDelivery of Health CareEpidemiologyEthics, MedicalOutcome Assessment, Health CarePalliative Care

Identifiers

PMID40579231
PMCPMC12207163

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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 OpenQuestion graph.