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Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide
Jason J Rose1,2, Michael S Zhang2, Jerry Pan3
1University of MD School of Medicine, University of Maryland, Baltimore, MA, USA.
Insights
A new clinical risk score identifies patients with carbon monoxide poisoning at risk for death. This score uses age, altered mental status, and cardiac complications to predict mortality in poisoned patients.
Area of Science:
- Emergency Medicine
- Toxicology
- Clinical Risk Prediction
Background:
- Carbon monoxide (CO) poisoning carries a significant risk of acute and long-term mortality.
- Cardiac involvement is a known factor that exacerbates mortality risk in CO poisoning survivors.
- Identifying high-risk patients is crucial for targeted interventions and improved outcomes.
Purpose of the Study:
- To develop and validate a clinical risk score for predicting both inpatient and long-term mortality in patients with carbon monoxide poisoning.
- To identify key clinical variables associated with increased mortality risk in CO-poisoned individuals.
- To provide a tool for clinicians to better stratify patients based on their risk of adverse outcomes.
Main Methods:
- Retrospective analysis of adult CO-poisoned patients from derivation (811) and validation (462) cohorts.
- Utilized demographics, laboratory values, hospital charges, and clinical charting data.
- Employed Firth logistic regression with Stepwise Akaike's Information Criteria to build the prediction model.
Main Results:
- The developed "Heart-Brain 346-7 Score" identified mortality risk based on age, altered mental status, and cardiac complications.
- In the derivation cohort, the score demonstrated a sensitivity of 82% and specificity of 80% (AUC 0.81).
- The score performed similarly in the validation cohort with a sensitivity of 72% and specificity of 69% (AUC 0.70).
Conclusions:
- A simple, clinical-based scoring system, the Heart-Brain 346-7 Score, was developed and validated.
- The score effectively predicts inpatient and long-term mortality in carbon monoxide poisoning.
- Further validation may support its use in clinical decision-making for high-risk CO poisoning patients.
Introduction:
Acute mortality from carbon monoxide poisoning is 1-3%. The long-term mortality risk of survivors of carbon monoxide poisoning is doubled compared to age-matched controls. Cardiac involvement also increases mortality risk. We built a clinical risk score to identify carbon monoxide-poisoned patients at risk for acute and long-term mortality.
Methods:
We performed a retrospective analysis. We identified 811 adult carbon monoxide-poisoned patients in the derivation cohort, and 462 adult patients in the validation cohort. We utilized baseline demographics, laboratory values, hospital charge transactions, discharge disposition, and clinical charting information in the electronic medical record in Stepwise Akaike's Information Criteria with Firth logistic regression to determine optimal parameters to create a prediction model.
Results:
In the derivation cohort, 5% had inpatient or 1-year mortality. Three variables following the final Firth logistic regression minimized Stepwise Akaike's Information Criteria: altered mental status, age, and cardiac complications. The following predict inpatient or 1-year mortality: age > 67, age > 37 with cardiac complications, age > 47 with altered mental status, or any age with cardiac complications and altered mental status. The sensitivity of the score was 82% (95% confidence interval: 65-92%), the specificity was 80% (95% confidence interval: 77-83%), negative predictive value was 99% (95% confidence interval: 98-100%), positive predictive value 17% (95% confidence interval: 12-23%), and the area under the receiver operating characteristic curve was 0.81 (95% confidence interval: 0.74-0.87). A score above the cut-off point of -2.9 was associated with an odds ratio of 18 (95% confidence interval: 8-40). In the validation cohort (462 patients), 4% had inpatient death or 1-year mortality. The score performed similarly in the validation cohort: sensitivity was 72% (95% confidence interval: 47-90%), specificity was 69% (95% confidence interval: 63-73%), negative predictive value was 98% (95% confidence interval: 96-99%), positive predictive value was 9% (95% confidence interval: 5-15%) and the area under the receiver operating characteristic curve was 0.70 (95% confidence interval: 60%-81%).
Conclusions:
We developed and validated a simple, clinical-based scoring system, the Heart-Brain 346-7 Score to predict inpatient and long-term mortality based on the following: age > 67, age > 37 with cardiac complications, age > 47 with altered mental status, or any age with cardiac complications and altered mental status. With further validation, this score will hopefully aid decision-making to identify carbon monoxide-poisoned patients with higher mortality risk.
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