Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide poisoning utilizing deep learning
Creators: name: Rose, Jason J.
name: Zhang, Michael S.
name: Pan, Jerry
name: Gauthier, Marc C.
name: Pizon, Anthony F.
name: Saul, Melissa I.
name: Nouraie, Seyed M.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Mental Health
subject: Computational Biology

description: 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. 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. 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 &gt; 67, age &gt; 37 with cardiac complications, age &gt; 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%). 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 &gt; 67, age &gt; 37 with cardiac complications, age &gt; 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.