Photo Credit: 7activestudio

The following is a summary of “A novel score to predict in-hospital mortality for patients with acute coronary syndrome and out-of-hospital cardiac arrest: the FACTOR study,” published in the February 2024 issue of Cardiology by Schweiger et al.

Acute coronary syndromes (ACS) pose a significant global healthcare challenge, with severe cases potentially leading to out-of-hospital cardiac arrest (OHCA), where, despite medical progress, survival rates remain low, complicating outcome prediction for healthcare providers.

Researchers conducted a retrospective study to create a scoring system using admission variables to predict in-hospital mortality for patients with OHCA undergoing coronary angiography.

They included all OHCA patients attributable to ACS admitted to a tertiary care center, conducting multivariate logistic regression to examine the link between clinical factors and in-hospital all-cause mortality. They devised a scoring system, the FACTOR score, utilizing admission variables to evaluate individual patient risks of in-hospital mortality, followed by validation.

The result showed that of 291 patients included, the median age was 65 years [56–73], with 47 women (16.2%). The in-hospital mortality rate stood at 41.2%. A prognostic model was formulated in the derivation cohort (n = 138), incorporating age, downtime, first detected rhythm, and epinephrine administration. 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). 

Investigators concluded that the FACTOR score empowers healthcare providers to predict OHCA patient mortality, potentially aiding resource allocation and patient management decisions.

Source: link.springer.com/article/10.1007/s00392-023-02367-1