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Creating and evaluating the score to assess overdose: the OD score
Kazuki Nagashima1,2, Nobuhiro Yasuno3, Machiko Watanabe4
1Laboratory of Practical Pharmacy, Graduate School and Faculty of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan. knagashima@chiba-u.jp.
Insights
A new OD score accurately identifies overdose patients, even in overwhelmed emergency departments during disasters. This tool aids facilities not specializing in overdose treatment.
Area of Science:
- Emergency Medicine
- Toxicology
- Clinical Scoring Systems
Background:
- Emergency departments face capacity issues during disasters like pandemics, impacting care.
- Increased stress during emergencies leads to a rise in overdose cases.
- Lack of a standardized scoring system for overdose assessment poses challenges.
Purpose of the Study:
- To develop and validate a patient-specific scoring system for overdose assessment.
- To improve the accuracy and efficiency of overdose identification in emergency settings.
Main Methods:
- Retrospective single-center study evaluating an evidence-based OD score (0-15).
- Logistic analysis and receiver operating characteristic (ROC) curve analysis were employed.
- External validation was performed on a separate patient cohort.
Main Results:
- The OD score demonstrated high accuracy with a cutoff of 8 (AUC: 0.99), correctly identifying overdose patients.
- Key predictors for overdose included the discovery scenario and recent mental anxiety.
- The OD score showed excellent performance in external validation (AUC: 1.0).
Conclusions:
- The developed OD score is a reliable tool for assessing overdose patients.
- This scoring system is particularly beneficial for medical facilities with limited experience in managing overdose cases.
Background:
During disasters (including epidemics such as coronavirus disease 2019), the capacity of emergency departments is exceeded, thereby hindering the administration of appropriate lifesaving measures. Furthermore, the number of overdose patients increases because of the stress overload during emergency situation. The fact that overdose patients are forced to be transported to medical facilities that do not typically treat them is becoming worrisome. Moreover, there is no definitive score for overdose. This study aimed to create a patient-specific scoring system to assess overdose.
Methods:
This was a retrospective single-center study. The evidence-based OD score was evaluated on a scale of 0-15. Further, logistic analysis and receiver operating characteristic (ROC) curve analysis were performed to evaluate the score.
Results:
Overall, 262 patients (including 118 overdose patients) receiving care at the intensive care unit of Japan's Teikyo University Hospital in 2021 were targeted. Regarding the total OD score, ROC analysis revealed a cutoff of 8 (area under the curve [AUC]: 0.99, 95% confidence interval [CI]: 0.980-0.997, sensitivity: 0.95, specificity: 0.95, p < 0.05), which was considered to indicate an overdose. Of the items evaluated in the OD score, the scenario at the location of the patient's discovery (adjusted odds ratio [AOR]: 16.8, 95% CI: 5.0-255.9, p = 0.002) and recent experience of mental anxiety (AOR: 55.7, 95% CI: 2.8-5399.5, p = 0.03) significantly predicted an overdose in multivariable logistic regression analysis. External validation revealed that the OD score could also identify overdose in patients treated in a cohort from 2022 (average cutoff: 8.6, average AUC: 1.0, p < 0.0001).
Conclusions:
The OD score could accurately assess overdose patients. Medical facilities that do not frequently address overdose patients will benefit from the use of this score.
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