Performance of A-DROP, NEWS2, and REMS in predicting in-hospital mortality and mechanical ventilation in pneumonia patients in the emergency department: a retrospective cohort study
2024

Comparing Early Warning Scores for Pneumonia Patients

Sample size: 735 publication 10 minutes Evidence: moderate

Author Information

Author(s): Thirawattanasoot Netiporn, Chongthanadon Brandon, Ruangsomboon Onlak

Primary Institution: Siriraj Hospital, Mahidol University

Hypothesis

This study aimed to compare the prognostic utility of A-DROP, NEWS2, and REMS in predicting in-hospital mortality and the requirement for mechanical ventilation among ED patients with pneumonia.

Conclusion

A-DROP had the highest prognostic utility for predicting in-hospital mortality in non-COVID-19 pneumonia patients in the ED compared to NEWS2 and REMS.

Supporting Evidence

  • A-DROP had the highest discrimination capacity for in-hospital mortality.
  • 272 patients (37%) died at hospital discharge.
  • 75 patients (10.2%) required mechanical ventilation.
  • A-DROP showed superior calibration and overall model performance compared to NEWS2 and REMS.

Takeaway

Doctors used three scoring systems to see which one could best predict if pneumonia patients would die in the hospital. They found that one score, A-DROP, was the best at predicting this.

Methodology

A retrospective cohort study was conducted at the ED of Siriraj Hospital, Thailand, including adult patients diagnosed with non-COVID-19 pneumonia.

Potential Biases

The retrospective nature of the study may introduce biases related to data collection and patient selection.

Limitations

The study was a single-center retrospective study, which may limit generalizability, and the primary outcome was all-cause mortality, which may not be specific to pneumonia.

Participant Demographics

Adult patients diagnosed with non-COVID-19 pneumonia, with a mean age of 73.6 years for those who died and 69.8 years for those who survived.

Statistical Information

P-Value

0.001

Confidence Interval

95% CI 0.659–0.737

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/s12245-024-00792-1

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