# A novel score to predict in-hospital mortality for patients with acute coronary syndrome and out-of-hospital cardiac arrest: the FACTOR study

**Authors:** Victor Schweiger, Pauline Hiller, Rahel Utters, Angela Fenice, Victoria Lucia Cammann, Davide Di Vece, Katja Rajman, Alessandro Candreva, Alexander Gotschy, Thomas Gilhofer, Michael Würdinger, Barbara E. Stähli, Burkhardt Seifert, Stefan M. Müller, Christian Templin, Julia Stehli

PMC · DOI: 10.1007/s00392-023-02367-1 · Clinical Research in Cardiology · 2024-02-08

## TL;DR

This study developed a new score called FACTOR to predict in-hospital mortality for patients with heart attacks who experience cardiac arrest outside the hospital.

## Contribution

The novel FACTOR score uses admission variables to predict mortality in OHCA patients with ACS.

## Key findings

- The FACTOR score includes age, downtime, first detected rhythm, and epinephrine use.
- The score showed good predictive accuracy with an area under the curve of 0.823 in the derivation cohort.
- Validation confirmed the score's reliability with an area under the curve of 0.828.

## Abstract

Acute coronary syndromes (ACS) represent a substantial global healthcare challenge. In its most severe form, it can lead to out-of-hospital cardiac arrest (OHCA). Despite medical advancements, survival rates in OHCA patients remain low. Further, the prediction of outcomes in these patients poses a challenge to all health care providers involved. This study aims at developing a score with variables available on admission to assess in-hospital mortality of patients with OHCA undergoing coronary angiography.

All patients with OHCA due to ACS admitted to a tertiary care center were included. A multivariate logistic regression analysis was conducted to explore the association between clinical variables and in-hospital all-cause mortality. A scoring system incorporating variables available upon admission to assess individual patients' risk of in-hospital mortality was developed (FACTOR score). The score was then validated.

A total of 291 patients were included in the study, with a median age of 65 [56–73] years, including 47 women (16.2%). The in-hospital mortality rate was 41.2%. A prognostic model was developed in the derivation cohort (n = 138) and included the following variables: age, downtime, first detected rhythm, and administration of epinephrine. The area under the curve for the FACTOR score was 0.823 (95% CI 0.737–0.894) in the derivation cohort and 0.828 (0.760–0.891) in the validation cohort (n = 153).

The FACTOR score demonstrated a reliable prognostic tool for health care providers in assessing in-hospital mortality of OHCA patients. Early acknowledgement of a poor prognosis may help in patient management and allocation of resources.

## Linked entities

- **Chemicals:** epinephrine (PubChem CID 838)
- **Diseases:** acute coronary syndromes (MONDO:0005542)

## Full-text entities

- **Diseases:** ACS (MESH:D054058), OHCA (MESH:D058687), mortality (MESH:D003643), cardiac arrest (MESH:D006323)
- **Chemicals:** epinephrine (MESH:D004837)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC10954920/full.md

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Source: https://tomesphere.com/paper/PMC10954920