Community health impacts after a jet fuel leak contaminated a drinking water system: Oahu, Hawaii, November 2021.

BACKGROUND: In 2021, a large petroleum leak contaminated a water source that supplied drinking water to military and civilians in Oahu, Hawaii. METHODS: We conducted an Assessment of Chemical Exposures (ACE) survey and supplemented that information with complementary data sources: (1) poison center caller records; (2) emergency department visit data; and (3) a key informant questionnaire. RESULTS: Among 2,289 survey participants, 86% reported ≥1 new or worsening symptom, 75% of which lasted ≥30 days, and 37% sought medical care. Most (n = 1,653, 72%) reported new mental health symptoms. Among equally observable symptoms across age groups, proportions of children ≤2 years experiencing vomiting, runny nose, skin rashes, and coughing (33, 46, 56, and 35%, respectively) were higher than other age groups. Poison center calls increased the first 2 weeks after the contamination, while emergency department visits increased in early December 2021. Key informant interviews revealed themes of lack of support, mental health symptoms, and long-term health impact concerns. DISCUSSION: This event led to widespread exposure to petroleum products and negatively affected thousands of people. Follow-up health surveys or interventions should give special consideration to longer-term physical and mental health, especially children due to their unique sensitivity to environmental exposures.

Comparison of hospital claims and poison center data to evaluate health impact of opioids, cannabis and synthetic cannabinoids.

INTRODUCTION: Over the past 10 years, opioids and cannabis have garnered significant attention due to misuse and legalization trends. Different datasets and surveillance mechanisms can lead to different conclusions the due to a variety of factors. The primary objective of this study was to compare and describe trends of opioid, cannabis, and synthetic cannabinoid-related healthcare encounters and poison center (PC) cases in Colorado, a state that has legalized cannabis. METHODS: This was a retrospective study comparing hospital claims data (Colorado Hospital Association (CHA)) and poison center cases to describe opioid, cannabis and synthetic cannabinoid-related healthcare encounters and exposures in Colorado from 2013 to 2017 using related genetic codes and International Statistical Classification of Disease codes. RESULTS: Both datasets observed increases in cannabis related encounters and exposures after recreational cannabis legalization in 2014. CHA reported an increase for cannabis-related ER visits from 14,109 in 2013 to 18,118 in 2017 while PC noted a 74.4% increase in cannabis-related cases (125 to 218). CHA inpatient visits associated with cannabis also increased (8311 in 2013 to 14,659 in 2017). On the other hand, Opioid-related exposures to the PC fell (1092 in 2013 to 971 in 2017) while both Opioid-related ER visits (8580 in 2013 to 12,928 in 2017) and inpatient visits in CHA increased (9084 in 2013 to 13,205). CONCLUSIONS: This study demonstrates the differences in surveillance methodology for concurrent drug abuse epidemics using hospital claims and PC data. Both systems provide incomplete reports, but in combination can provide a more complete picture.

Illicit Drug Exposures in Young Pediatric Patients Reported to the National Poison Data System, 2006-2016.

This retrospective review of poison center calls found that there were 9122 illicit drug exposures reported in children <10 years of age between 2006 and 2016. Marijuana and methamphetamine were reported most frequently, with significant increases over the study period; methamphetamine was associated with the most deaths.

Marijuana exposures in Colorado, reported to regional poison centre, 2000-2018.

The objective was to evaluate trends in marijuana exposures reported to the Colorado regional poison centre (RPC). Human exposures cases from the Colorado RPC obtained from 1 January 2000 through 31 December 2018 using generic marijuana exposure codes. There were 2221 marijuana exposures, with an increase in exposures by 11.2 cases per year (p<0.0001). Annual cases remained steady since 2014 (p=0.22), with a 19.4% increase in 2018 compared with 2017. Since 2014, the largest increase was in children age 0-8 years (p<0.0001). Edible marijuana exposures increased by 9.6 exposures per year from 2015 to 2018 (p=0.04). After observing an increase in Colorado RPC marijuana exposure cases in 2010 and 2014, annual exposures have been stable through 2017, with the first increase in legalised recreational sales era in 2018. There are specific concerns for the paediatric population and exposures involving edibles, as these cases continue to increase.

Marijuana and acute health care contacts in Colorado.

Over 22 million Americans are current users of marijuana; half of US states allow medical marijuana, and several allow recreational marijuana. The objective of this study was to evaluate the impact marijuana has on hospitalizations, emergency department (ED) visits, and regional poison center (RPC) calls in Colorado, a medical and recreational marijuana state. This is a retrospective review using Colorado Hospital Association hospitalizations and ED visits with marijuana-related billing codes, and RPC marijuana exposure calls. Legalization of marijuana in Colorado has been associated with an increase in hospitalizations, ED visits, and RPC calls linked with marijuana exposure. From 2000 to 2015, hospitalization rates with marijuana-related billing codes increased from 274 to 593 per 100,000 hospitalizations in 2015. Overall, the prevalence of mental illness among ED visits with marijuana-related codes was five-fold higher (5.07, 95% CI: 5.0, 5.1) than the prevalence of mental illness without marijuana-related codes. RPC calls remained constant from 2000 through 2009. However, in 2010, after local medical marijuana policy liberalization, the number of marijuana exposure calls significantly increased from 42 to 93; in 2014, after recreational legalization, calls significantly increased by 79.7%, from 123 to 221 (p<0.0001). The age group <17years old also had an increase in calls after 2014. As more states legalize marijuana, it is important to address public education and youth prevention, and understand the impact on mental health disorders. Improvements in data collection and surveillance methods are needed to more accurately evaluate the public health impact of marijuana legalization.

Use of large language models to optimize poison center charting.

INTRODUCTION: Efficient and complete medical charting is essential for patient care and research purposes. In this study, we sought to determine if Chat Generative Pre-Trained Transformer could generate cogent, suitable charts from recorded, real-world poison center calls and abstract and tabulate data. METHODS: De-identified transcripts of real-world hospital-initiated poison center consults were summarized by Chat Generative Pre-Trained Transformer 4.0. Additionally, Chat Generative Pre-Trained Transformer organized tables for data points, including vital signs, test results, therapies, and recommendations. Seven trained reviewers, including certified specialists in poison information and board-certified medical toxicologists, graded summaries using a 1 to 5 scale to determine appropriateness for entry into the medical record. Intra-rater reliability was calculated. Tabulated data was quantitatively evaluated for accuracy. Finally, reviewers selected preferred documentation: original or Chat Generative Pre-Trained Transformer organized. RESULTS: Eighty percent of summaries had a median score high enough to be deemed appropriate for entry into the medical record. In three duplicate cases, reviewers did change scores, leading to moderate intra-rater reliability (kappa = 0.6). Among all cases, 91 percent of data points were correctly abstracted into table format. DISCUSSION: By utilizing a large language model with a unified prompt, charts can be generated directly from conversations in seconds without the need for additional training. Charts generated by Chat Generative Pre-Trained Transformer were preferred over extant charts, even when they were deemed unacceptable for entry into the medical record prior to the correction of errors. However, there were several limitations to our study, including poor intra-rater-reliability and a limited number of cases examined. CONCLUSIONS: In this study, we demonstrate that large language models can generate coherent summaries of real-world poison center calls that are often acceptable for entry to the medical record as is. When errors were present, these were often fixed with the addition or deletion of a word or phrase, presenting an enormous opportunity for efficiency gains. Our future work will focus on implementing this process in a prospective fashion.

Survival after amphotericin B overdose treated with plasmapheresis.

OBJECTIVE: To report a case of accidental amphotericin B overdose that was treated with plasmapheresis. CASE SUMMARY: A 60-year-old woman with a history of kidney transplant 4 years prior to presentation for a congenital abnormality was admitted for a suspected systemic fungal infection. The patient inadvertently received intravenous amphotericin B deoxycholate 250 mg (4.3 mg/kg) over 2 hours instead of prescribed liposomal amphotericin B. The medication error was discovered 16 hours after administration. She had normal vital signs at that time and reported abdominal pain and general malaise. Results of a metabolic panel were significant for a creatinine level of 2.1 mg/dL and CO2 of 17 mg/dL. Her serum amphotericin B concentration 33 hours after the initial dose was 4.9 µg/mL. She subsequently received 5 courses of plasmapheresis and 3 courses of hemodialysis and ultimately did not develop any further renal injury, as well as hemolysis, cardiovascular collapse, dysrhythmias, or severe electrolyte abnormalities. DISCUSSION: The dosing differences between nonliposomal and liposomal preparations of amphotericin B can be as high as 50-fold. Reported adverse events from overdose in both animal models and human case reports include renal insufficiency, hemolysis, thrombocytopenia, electrolyte abnormality, and cardiac dysrhythmias. There have been previous reports of similar errors that have led to death. Furthermore, amphotericin B has been shown to be poorly dialyzable. Our patient's serum amphotericin B concentration decreased after she received plasmapheresis, and she did not develop severe complications. CONCLUSIONS: We describe a patient who survived a 4-fold overdose of amphotericin B because of a medication error. The use of plasmapheresis may have enhanced the elimination of amphotericin B and may have contributed to the positive outcome. However, the role of plasmapheresis in amphotericin overdose is not fully understood.

Seizures and methemoglobinemia in an infant after excessive EMLA application.

Topical anesthetics are commonly used in many health care settings and for many clinical conditions. However, there are a number of potential adverse effects associated with their use. Their widespread administration can convey a false sense of security and failure to appreciate possible complications. We present the case of an infant with extensive vascular malformations treated with EMLA cream who developed seizures and methemoglobinemia from lidocaine and prilocaine toxicity. We describe the pathophysiology of these morbidities, the use of pulse oximetry in this setting, and the clinical presentation and treatment of methemoglobinemia.

Toxic Tetrahydrocannabinol (THC) Dose in Pediatric Cannabis Edible Ingestions.

OBJECTIVE: The study characterizes cannabis toxicity in relation to tetrahydrocannabinol (THC) dose in pediatric edible cannabis ingestions. METHODS: This is a retrospective review of children aged <6 years presenting with edible cannabis ingestions of known THC dose within a pediatric hospital network (January 1, 2015-October 25, 2022). Cannabis toxicity was characterized as severe if patients exhibited severe cardiovascular (bradycardia, tachycardia/hypotension requiring vasopressors or intravenous fluids, other dysrhythmias), respiratory (respiratory failure, apnea, requiring oxygen supplementation), or neurologic (seizure, myoclonus, unresponsiveness, responsiveness to painful stimulation only, requiring intubation or sedation) effects. Cannabis toxicity was characterized as prolonged if patients required >6 hours to reach baseline. The relationship between THC dose and severe and prolonged toxicity was explored using multivariable logistic regression and receiver operator characteristic curve analyses. RESULTS: Eighty patients met inclusion. The median age was 2.9 years. The median THC ingestion was 2.1 mg/kg. Severe and prolonged toxicity was present in 46% and 74%, respectively. THC dose was a significant predictor of severe (adjusted odds ratio 2.9, 95% confidence interval: 1.8-4.7) and prolonged toxicity (adjusted odds ratio 3.2, 95% confidence interval: 1.6-6.5), whereas age and sex were not. Area under the curve was 92.9% for severe and 87.3% for prolonged toxicity. THC ingestions of ≥1.7 mg/kg can predict severe (sensitivity 97.3%) and prolonged toxicity (sensitivity 75.4%). CONCLUSIONS: The THC dose of edible cannabis correlates to the degree of toxicity in children <6 years old. The threshold of 1.7 mg/kg of THC may guide medical management and preventive regulations.

Harmful Algal Bloom Exposures Self-reported to Poison Centers in the United States, May-October 2019.

The National Poison Data System (NPDS) comprises self-reported information from people who call US poison center hotlines. NPDS data have proven to be important in identifying emerging public health threats. We used NPDS to examine records of people who had self-reported exposure to harmful algal blooms (HABs). Participating poison centers then contacted people who had called their centers from May through October 2019 about their HAB exposure to ask about exposure route, symptoms, health care follow-up, and awareness of possible risks of exposure. Of 55 callers who agreed to participate, 47 (85%) reported exposure to HABs while swimming or bathing in HAB-contaminated water. Nine callers reported health symptoms from being near waters contaminated with HABs, suggesting potential exposure via aerosolized toxins. Symptoms varied by the reported routes of exposure; the most commonly reported symptoms were gastrointestinal and respiratory. More public and health care provider education and outreach are needed to improve the understanding of HAB-related risks, to address ways to prevent HAB-related illnesses, and to describe appropriate support when exposures occur.

Trends of prescription psychotropic medication exposures in pediatric patients, 2009-2018.

BACKGROUND: Mental health disorders and related suicide attempts are increasing in both the adult and pediatric patient populations. Because of the increasing prevalence of mental health disorders, there is increased use of psychotropic medications in adult and pediatric patients, which can pose a risk for potentially adverse pediatric ingestions. The objective was to determine trends and outcomes for pediatric psychotropic medication ingestions reported to the American Association of Poison Control Centers (AAPCC) National Poison Data System (NPDS). METHODS: This was a retrospective review of pediatric (≤18 years of age) exposures reported to AAPCC NPDS between January 1, 2009 and December 31, 2018. Single psychotropic medication ingestions of atypical antipsychotics, bupropion, buspirone, clonidine, lithium, methylphenidate, mirtazapine, monoamine oxidase inhibitors (MAOIs), selective norepinephrine reuptake inhibitors (SNRIs), selective serotonin reuptake inhibitors (SSRIs), trazodone, and tricyclic antidepressants (TCAs) were examined. RESULTS: Over the 10-year study period, 356,548 pediatric psychotropic medication ingestions were reported to NPDS. SSRI ingestions were the most frequently reported (34%), followed by atypical antipsychotics (17%), and methylphenidate (15%). Unintentional ingestions were most prominent in patients 0-12 years of age (79%), whereas, in patients age 13-18 years, 76% were intentional. SSRI ingestions were asymptomatic in 68% of cases. Clonidine and bupropion ingestions had the highest proportion of moderate and major clinical effects (29 and 25%, respectively). There were 29 deaths: atypical antipsychotics (n = 4), bupropion (n = 10), lithium (n = 1), SNRI (n = 1), SSRIs (n = 7), and TCAs (n = 6); 19 (65%) were in adolescent patients. CONCLUSIONS: SSRIs were the most frequently reported ingestion, while bupropion and clonidine were associated with a high percentage of moderate and major clinical effects. This study demonstrates opportunities for targeted prevention strategies to prevent potentially adverse pediatric ingestions to psychotropic medications.

Toxic alcohol poisoning characteristics and treatments from 2000 to 2017 at a United States regional poison center.

BACKGROUND: Toxic alcohol exposures are an ongoing concern in the United States. In the US, few studies characterize the local epidemiology of toxic alcohols over time. OBJECTIVES: The objective was to examine the incidence of toxic alcohol ingestions and changes in management over time. METHODS: This retrospective cohort study evaluates toxic alcohol ingestion phone calls to a regional poison center in the United States covering four states. Data were queried for this poison center from the National Poison Data System (NPDS) using generic codes for each toxic alcohol. Inclusion criteria were ingestion of toxic alcohol, age ≥ 13 years, from January 1, 2000 to Dec 31, 2017. Exclusion criteria were unrelated effects coded in the medical outcome, duplicate data, or incomplete demographic data. RESULTS: Of 926 subjects (adults and teenagers), 71.5% were male, and the mean age was 34.5 years. Toxic alcohol ingestion was more common in individuals younger than 40 years, with a significant relationship between age and intentional abuse or misuse (p = 0.001). There was also a significant relationship between age and reason for ingestion, with younger patients more likely to be suicidal (p < 0.001). Ethyleneglycol was the most common toxic alcohol. There was no change in the incidence of toxic alcohol ingestions over the study period. The mortality rate was 1.7%, and 31.2%of patients were hospitalized in a critical care unit. Major effects and death were more common in younger patients (p < 0.001). There was a significant difference in medical outcomes based on the type of toxic alcohol(p = 0.03). Fomepizole was the most common treatment. A Poisson regression model found no change in fomepizole use during the study period (p = 0.1). Ethanol administration over the study period increased (p = 0.02), while hemodialysis decreased (p = 0.02). CONCLUSION: Data obtained from a single regional United States poison center showed low mortality related to toxic alcohol ingestions. The most prevalent toxic alcohol was Ethylene glycol. In all cases, toxic alcohol ingestion was higher in the 20-29-year-old age group. Reasons for ingestion, in most cases, were suicidal. Fomepizole was the most common treatment, ethanol administration as an antidote is rising, and hemodialysis utilization is decreasing. Data may not be nationally representative.

Adolescent exposures to traditional and novel psychoactive drugs, reported to National Poison Data System (NPDS), 2007-2017.

BACKGROUND: Survey data on adolescent drug use trends have limitations evaluating the impact of drug use on health and may lag current trends. The objective was to describe National Poison Data System (NPDS) trends, medical outcomes, and healthcare encounters from adolescent exposures of traditional and novel psychoactive drugs. METHODS: Retrospective review of adolescent (10-18 years of age) exposure calls to all U.S. poison centers, from January 1, 2007 through December 31, 2017, using generic codes for traditional and novel psychoactive drugs. Descriptive statistics and univariate Poisson regression modeling were used for analysis. RESULTS: There were 49,757 exposure calls for the included psychoactive drugs. The median age was 16 years (IQR 15,17), 64% were male, and the majority were evaluated in a healthcare facility (92%). Marijuana had the most exposure calls (36.6%), followed by synthetic cannabinoids (e.g., spice; 21.3%). There were 181 (<1%) deaths; the highest fatality rates were from fentanyl, 2C drugs (phenylethylamine derivatives), and heroin. LSD exposure calls have had the most significant increase over the past 10 years. CONCLUSION: U.S. Poison Centers reported almost 50,000 exposure calls and 181 deaths over 10 years for adolescent exposures of both traditional and novel psychoactive drugs, demonstrating the significant health impact on this vulnerable population. Opioids and 2C drugs contributed to the highest mortality rates, moderate/major symptoms and healthcare utilization, and LSD had the most significant increase in calls. Multi-source surveillance methodology is critical in understanding the public health impact on drug abuse in the adolescent population.

Comparison of the Poisoning Severity Score and National Poison Data System schemes for the severity assessment of animal poisonings: a pilot study.

CONTEXT: To date, there are no publicly available schemes designed and evaluated specifically for severity assessment of animal poisonings. This poses challenges for the evaluation and comparison of animal poisoning exposure data. OBJECTIVE: Our objective for this pilot study was to evaluate agreement between raters using the Poisoning Severity Score (PSS) and National Poison Data System (NPDS) medical outcome scheme for severity assessment of canine exposures reported to a multistate poison center (PC) and to identify issues regarding their use for severity assessment of animal poisonings. Agreement between both schemes was also assessed. METHODS: The first 196 canine exposures reported to a multistate PC between 1 January and 31 August 2016 were selected and initial inquiry data from exposures was scored by four independent raters. Interrater agreement and agreement between the severity systems was calculated using weighted kappa (Κ) (Light's kappa). Reported clinical effects were also described. RESULTS: Interrater agreement for both the PSS (Κ 0.31; 95% CI 0.19, 0.43) and NPDS schemes (Κ 0.34; 95% CI 0.22, 0.44) was low. Agreement between the schemes was slight (Κ 0.05; 95% CI -0.08, 0.16) for pooled results from all four raters. For the PSS, 71.7% (n = 281) of ratings were minor, 23.0% (n = 90) moderate, and 5.4% (n = 21) severe. For the NPDS, 69.6% (n = 273) of ratings were minor, 27.0% (n = 106) moderate, and 3.3% (n = 13) severe. The top three reported clinical effects included vomiting (n = 86, 29.9%) drowsiness/lethargy (n = 38, 13.2%), and diarrhea (n = 24, 8.3%). DISCUSSION AND CONCLUSIONS: This study shows considerable variability between raters using either the PSS or NPDS schemes for canine exposures severity assessment. The subjective nature of the schemes, the influence of intra- and interrater variation, and predominance of minor cases on the study findings should be taken into account when interpreting this data. Further evaluation of these schemes is warranted and could help inform their future use for animal poisoning severity assessment.

ED utilization of computed tomography in a poisoned population.

The objective of this prospective, analytic study was to identify predictors and describe the demographic and clinical correlates of head computed tomography (CT) evaluation in patients with poisoning or drug overdose and altered mental status. Forty-three patients that were evaluated by head CT and 109 that were not evaluated by head CT were entered into the study at a poison control center. None of the 43 scanned patients had any acute findings on head CT. A logistic regression model yielded 4 predictors that were statistically associated with the ordering of a head CT scan: Glasgow Coma Scale (GCS) < or = 8 (odds ratio [OR]: 2.3; 95% confidence interval [CI] 1.03-5.7); age > or = 41 years (OR 5.3; 95% CI 2.2-13); use of drugs or abuse by history (OR 2.8; 95% CI 1.04-7.6); and witnessed seizure activity (OR 4.8; 95% CI 1.3-17.9). We also tested 2 additional models to identify predictors of hospital admission, 1 with and 1 without CT scan included as a covariate. In the first model, only GCS