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Comparing Confirmed Sodium Nitrite Suicide Deaths With Poison Center Surveillance Estimates
Joshua Bloom1,2,3, Alexis Sharpe4, Seth Nulman4
1Department of Emergency Medicine, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Sodium nitrite deaths are increasing, but poison center surveillance misses many cases. Standardized forensic investigation is crucial for accurate tracking and public health response.
Area of Science:
- Forensic Toxicology
- Public Health Surveillance
- Chemical Safety
Background:
- Sodium nitrite, a common curing agent, is increasingly implicated in self-harm and suicide cases.
- Current surveillance methods in the United States may be insufficient for tracking sodium nitrite-related fatalities.
- Lack of standardized forensic investigation approaches hinders accurate case identification.
Purpose of the Study:
- To establish a standardized forensic approach for identifying sodium nitrite deaths.
- To compare forensic findings with existing poison center surveillance data.
- To assess the trend of sodium nitrite-related deaths and exposures.
Main Methods:
- Retrospective case series analysis of deaths and exposures in two New York medical examiner jurisdictions (2000-2022).
- Utilized medical examiner reports (cause of death) and poison center reports (intentional exposures).
- Established medical examiner determination via confirmatory blood nitrite testing as the criterion standard.
Main Results:
- Identified 36 decedents, with a median age of 28 years; 63.8% were male.
- Observed a significant yearly increase in sodium nitrite deaths from 2019 to 2022, largely missed by poison center surveillance.
- Confirmatory postmortem blood nitrite concentrations were obtained in 83.3% of cases; some decedents accessed suicide information online.
Conclusions:
- Sodium nitrite deaths are rising, and medical examiner data confirms this trend.
- Poison center surveillance significantly underestimates the true burden of sodium nitrite-related fatalities.
- Standardized forensic analysis and multi-source data are essential for effective public health monitoring and intervention.
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