Increasing severity of medical outcomes and associated substances in cases reported to United States poison centers.

INTRODUCTION: Poison centers provide free expert recommendations on the treatment of a wide variety of toxicological emergencies. Prior studies have called attention to the increasing complexity of cases reported to poison centers. We aimed first, to evaluate the trends in medical outcome severity, over a 15-year period in both the adult and pediatric populations. Second, we described the most frequently reported substances associated with major effect or death. METHODS: This is a retrospective review of exposures reported to the National Poison Data System from 1 January 2007 through 31 December 2021. All closed cases, for human exposures, reported during the study period were included. We assessed trends in frequencies and rates of medical outcomes and level of care received, among the adult (age greater than 19 years) and pediatric (age 19 years and younger) populations by reason for exposure. RESULTS: During the study period, the number of adult unintentional exposures resulting in major effect (37.4 percent) and death (65.3 percent) increased. The number of adult intentional exposures resulting in death increased by 233.9 percent and those resulting in a major effect increased by 133.1 percent. The rates of exposures resulting in major effect and death increased among both intentional and unintentional adult exposures. The number of pediatric unintentional exposures resulting in a major effect increased by 76.6 percent and the number of pediatric intentional exposures resulting in death and major effect increased by 122.7 and 190.1 percent, respectively. Moderate, major effect, and death rates increased in pediatric unintentional exposures and moderate and major effect rates increased in pediatric intentional exposures. CONCLUSIONS: We found a worsening severity of medical outcomes in adult and pediatric cases reported to poison centers. Poison centers are increasingly managing complex cases. Monitoring trends in which substances are associated with severe outcomes is imperative for future strategic prevention efforts.

Psilocybin Exposures Reported to U.S. Poison Centers: National Trends Over a Decade.

PURPOSE: We describe trends in psilocybin exposures among adolescents and young adults as reported to US poison centers over the past decade. METHODS: We queried the National Poison Data System for cases involving psilocybin during January 1, 2013-December 31, 2022. Persons aged 13-25 years were included. We examined exposures to psilocybin by demographics, clinical effects, level of care, and medical outcome. RESULTS: During the 10-year study period, 4,055 psilocybin-involved exposures were reported among adolescents and young adults, 2,667 (65.8%) being single substance exposures. Most single substance cases received medical attention (adolescents: 75.3% [n = 1,176], young adults: 72.1% [n = 797]). We did not find significant change in the number of cases during 2013-2018. Cases started increasing in 2019. In 2022, cases more than tripled among adolescents and more than doubled among young adults, compared to 2018 (p < .0001). DISCUSSION: Continued national surveillance is critical to determine the impact of psilocybin exposures on youth as it becomes increasingly available.

Forty years of National Poison Data System Annual Reports.

INTRODUCTION: The 40th National Poison Data System Annual Report from America's Poison Centers is published in this issue of Clinical Toxicology. This Commentary will focus on changes that have occurred over the years and emerging trends while highlighting some of the strengths and weaknesses of the system. FORTY YEARS OF NATIONAL POISON DATA SYSTEM ANNUAL REPORTS: The National Poison Data System now receives poison exposure data from all 50 states and territories of the United States, representing all levels of care and medical outcomes, and is collected in near real-time. The 2022 report is double in size from the 1983 report and shows changes in the distribution of exposure substances and at least a doubling in the percentage of calls from a health care facility, intentional exposures, and fatalities. There was also a more modest increase in cases managed in a health care facility, and a 40% drop in the percentage of cases managed in those under age 6. While total reported poison center cases have been decreasing since 2008, cases with more serious medical outcomes have steadily increased. To address the decline in the total number of less serious cases, an online tool was initiated for consumers to obtain simple individualized poisoning recommendations as an alternative to directly contacting a poison center. FENTANYL EXPOSURES AND TISSUE CONCENTRATIONS: Fentanyl exposures reported to the National Poison Data System have increased rapidly since 2019, driven by non-prescription fentanyl. Reporting of this was facilitated by the granularity of the generic coding schema and the ability to develop new generic codes rapidly, unlike some other national data sets. Total fentanyl exposures and those with more serious outcomes show a good correlation with national data on fentanyl deaths, demonstrating the ability of the National Poison Data System to function as a surveillance tool. Fentanyl concentrations reported to the National Poison Data System Fatality module showed antemortem concentrations to be slightly lower than postmortem concentrations, little difference between postmortem peripheral and central concentrations, and single substance concentrations slightly higher than cases with multiple substances. STRENGTHS AND WEAKNESSES: Strengths include the breadth of the database, granularity, contemporaneous data collection, near-real-time data submission allowing for automated toxicosurveillance activities, ability to rapidly activate emergency product codes for emerging situations, a robust web-based query tool, mapping of generic codes and clinical effects to other data dictionaries, and review by toxicologists of fatalities to assign a relative contribution. Weaknesses include voluntarily reported, non-verified exposures, interpreting reported medical outcomes (non-toxic and fatalities), lag-time in collecting data on new therapeutic modalities, and mortality data varying from that reported by other sources. CONCLUSION: Poison center data gives a robust, reproducible image of the populations that utilize poison center resources and seems to mirror trends noted from other data sources. This supports the continued need for poison centers in the information age to support the management of patients potentially exposed to poisons and those who are more severely poisoned.

One-Step Dry Coating of Hybrid ZnO-WO3 Nanosheet Photoanodes for Photoelectrochemical Water Splitting with Composition-Dependent Performance.

In this study, the potential of zinc oxide (ZnO), tungsten oxide (WO3), and their composites (ZnO-WO3) as photoanodes for photoelectrochemical (PEC) water splitting was investigated. ZnO-WO3 nanocomposites (NCs) were deposited on fluorine-doped tin oxide substrates at room temperature using a one-step dry coating process, the nanoparticle deposition system, with no post-processes. Different compositions of ZnO-WO3 NCs were optimized to enhance the kinetics of the PEC water-splitting reaction. Surface morphology analysis revealed the transformation of microsized particle nanosheets (NS) powder into nanosized particle nanosheets (NS) across all photoanodes. The optical characteristics of ZnO-WO3 photoanodes were scrutinized using diffuse reflectance and photoluminescence emission spectroscopy. Of all the hybrid photoanodes tested, the photoanode containing 10 wt.% WO3 exhibited the lowest bandgap of 3.20 eV and the lowest emission intensity, indicating an enhanced separation of photogenerated carriers and solar energy capture. The photoelectrochemical results showed a 10% increase in the photocurrent with increasing WO3 content in ZnO-WO3 NCs, which is attributed to improved charge transfer kinetics and carrier segregation. The maximum photocurrent for a NC, i.e., 10 wt.% WO3, was recorded at 0.133 mA·cm-2 at 1.23V vs. a reversible hydrogen electrode (RHE). The observed improvement in photocurrent was nearly 22 times higher than pure WO3 nanosheets and 7.3 times more than that of pure ZnO nanosheets, indicating the composition-dependence of PEC performance, where the synergy requirement strongly relies on utilizing the optimal ZnO-WO3 ratio in the hybrid NCs.

Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures.

BACKGROUND: This study aimed to compare clinical and laboratory characteristics of supra-therapeutic (RSTI) and acute acetaminophen exposures using a predictive decision tree (DT) algorithm. METHODS: We conducted a retrospective cohort study using the National Poison Data System (NPDS). All patients with RSTI acetaminophen exposure (n = 4,522) between January 2012 and December 2017 were included. Additionally, 4,522 randomly selected acute acetaminophen ingestion cases were included. After that, the DT machine learning algorithm was applied to differentiate acute acetaminophen exposure from supratherapeutic exposures. RESULTS: The DT model had accuracy, precision, recall, and F1-scores of 0.75, respectively. Age was the most relevant variable in predicting the type of acetaminophen exposure, whether RSTI or acute. Serum aminotransferase concentrations, abdominal pain, drowsiness/lethargy, and nausea/vomiting were the other most important factors distinguishing between RST and acute acetaminophen exposure. CONCLUSION: DT models can potentially aid in distinguishing between acute and RSTI of acetaminophen. Further validation is needed to assess the clinical utility of this model.

Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System.

BACKGROUND: Biguanides and sulfonylurea are two classes of anti-diabetic medications that have commonly been prescribed all around the world. Diagnosis of biguanide and sulfonylurea exposures is based on history taking and physical examination; thus, physicians might misdiagnose these two different clinical settings. We aimed to conduct a study to develop a model based on decision tree analysis to help physicians better diagnose these poisoning cases. METHODS: The National Poison Data System was used for this six-year retrospective cohort study.The decision tree model, common machine learning models multi layers perceptron, stochastic gradient descent (SGD), Adaboosting classiefier, linear support vector machine and ensembling methods including bagging, voting and stacking methods were used. The confusion matrix, precision, recall, specificity, f1-score, and accuracy were reported to evaluate the model's performance. RESULTS: Of 6183 participants, 3336 patients (54.0%) were identified as biguanides exposures, and the remaining were those with sulfonylureas exposures. The decision tree model showed that the most important clinical findings defining biguanide and sulfonylurea exposures were hypoglycemia, abdominal pain, acidosis, diaphoresis, tremor, vomiting, diarrhea, age, and reasons for exposure. The specificity, precision, recall, f1-score, and accuracy of all models were greater than 86%, 89%, 88%, and 88%, respectively. The lowest values belong to SGD model. The decision tree model has a sensitivity (recall) of 93.3%, specificity of 92.8%, precision of 93.4%, f1_score of 93.3%, and accuracy of 93.3%. CONCLUSION: Our results indicated that machine learning methods including decision tree and ensembling methods provide a precise prediction model to diagnose biguanides and sulfonylureas exposure.

Gathering the Stakeholder's Perspective: Experiences and Opportunities in Rare Genetic Disease Research.

BACKGROUND: Research participant feedback is rarely collected; therefore, investigators have limited understanding regarding stakeholders' (affected individuals/caregivers) motivation to participate. Members of the Genes to Mental Health Network (G2MH) surveyed stakeholders affected by copy number variants (CNVs) regarding perceived incentives for study participation, opinions concerning research priorities, and the necessity for future funding. Respondents were also asked about feelings of preparedness, research burden, and satisfaction with research study participation. METHODS: Modified validated surveys were used to assess stakeholders´ views across three domains: (1) Research Study Enrollment, Retainment, Withdrawal, and Future Participation; (2) Overall Research Experience, Burden, and Preparedness; (3) Research Priorities and Obstacles. Top box score analyses were performed. RESULTS: A total of 704 stakeholders´ responded from 29 countries representing 55 CNVs. The top reasons for initial participation in the research included reasons related to education and altruism. The top reasons for leaving a research study included treatment risks and side effects. The importance of sharing research findings and laboratory results with stakeholders was underscored by participants. Most stakeholders reported positive research experiences. CONCLUSIONS: This study provides important insight into how individuals and families affected with a rare CNV feel toward research participation and their overall experience in rare disease research. There are clear targets for areas of improvement for study teams, although many stakeholders reported positive research experiences. Key findings from this international survey may help advance collaborative research and improve the experience of participants, investigators, and other stakeholders moving forward.

Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases.

This study is aimed at establishing the outcome of RSTI exposure to acetaminophen based on a decision tree algorithm for the first time. This study used the National Poison Data System (NPDS) to conduct a six-year retrospective cohort analysis, which included 4522 individuals. The patients had a mean age of 26.75 ± 16.3 years (1-89). 3160 patients (70%) were females. Most patients had intentional exposure to acetaminophen. Almost all the patients had acetaminophen exposure via ingestion. In addition, 400 (8.8%) experienced major outcomes, 1500 (33.2%) experienced moderate outcomes, and 2622 (58%) of the patients experienced mild ones. The decision tree model performed well in the training and test groups. In the test group, the accuracy was 0.813, precision of 0.827, recall being 0.798, specificity 0.898, and an F1 score 0.80. In the training group, accuracy was 0.831, recall was 0.825, precision was 0.837, specificity was 0.90, and F1 score was 0.829. Our results showed that serum liver enzymes being present at elevated levels (Alanine aminotransferase (ALT), Aspartate aminotransferase (AST) greater than 1000 U/L followed by ALT, AST between 100 and 1000 U/L), prothrombin time (PT) prolongation, bilirubin increase, renal failure, confusion, age, hypotension, other coagulopathy (such as partial thromboplastin time (PTT) prolongation), acidosis, and electrolyte abnormality were the effective factors in determining the outcomes in these patients. The decision tree algorithm is a dependable method for establishing the prognosis of patients who have been exposed to RSTI acetaminophen and can be used throughout the patients' hospitalization period.

Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System.

The primary aim of this pilot study was to develop a machine learning algorithm to predict and distinguish eight poisoning agents based on clinical symptoms. Data were used from the National Poison Data System from 2014 to 2018, for patients 0-89 years old with single-agent exposure to eight drugs or drug classes (acetaminophen, aspirin, benzodiazepines, bupropion, calcium channel blockers, diphenhydramine, lithium and sulfonylureas). Four classifier prediction models were applied to the data: logistic regression, LightGBM, XGBoost, and CatBoost. There were 201 031 cases used to develop and test the algorithms. Among the four models, accuracy ranged 77%-80%, with precision and F1 scores of 76%-80% and recall of 77%-78%. Overall specificity was 92% for all models. Accuracy was highest for identifying sulfonylureas, acetaminophen, benzodiazepines and diphenhydramine poisoning. F1 scores were highest for correctly classifying sulfonylureas, acetaminophen and benzodiazepine poisonings. Recall was highest for sulfonylureas, acetaminophen, and benzodiazepines, and lowest for bupropion. Specificity was >99% for models of sulfonylureas, calcium channel blockers, lithium and aspirin. For single-agent poisoning cases among the eight possible exposures, machine learning models based on clinical signs and symptoms moderately predicted the causal agent. CatBoost and LightGBM classifier models had the highest performance of those tested.

Critical care interventions in children aged 6 months to 12 years admitted to the pediatric intensive care unit after unintentional cannabis exposures.

BACKGROUND: Cannabis exposures in children have risen sharply in recent years, resulting in increased hospital visits and admission to pediatric intensive care units (PICUs). The intent of this study was to describe the proportion of pediatric patients admitted to the PICU after unintentional cannabis ingestion that received critical care interventions (CCIs) along with describing trends over time in hospitalization, admission to the PICU, and clinical effects and treatments outside of the PICU. METHODS: This was a retrospective database study utilizing the National Poison Data System (NPDS) from 1/1/2000 to 12/31/2020. Children 6 months to 12 years of age with single substance cannabis exposures were included. RESULTS: A total of 12,882 cases were included. There was an increase in the proportion of cases seen in a hospital over time from 43.8% in 2000 to 54.6% in 2020 (range 29.1-62.6%). In patients seen in a HCF, the proportion admitted to the PICU was 9.5% in 2000 and 14% in 2020 (range: 5.6-29.0%). The 875 (6.8%) children admitted to the PICU were analyzed for the primary outcome. CCIs were performed in 69/875 (7.9%) cases that were admitted to the PICU. The most common CCIs in the PICU were intubation and sedation, 4.9 and 3.7%, respectively. CONCLUSIONS: Unintentional pediatric cannabis exposures are associated with clinically significant effects, including respiratory depression, hypotension, and bradycardia, but fewer than 5% of exposures were treated with CCIs, like intubation or vasopressors, in patients admitted to the PICU. Further work should assess specific reasons for admission to the PICU.

Changes in unintentional cannabis exposures in children 6 months to 5 years reported to United States poison centers during the first nine months of the coronavirus-19 pandemic.

INTRODUCTION: Almost half of exposures reported to United States (US) poison centers are exploratory ingestions in children under the age of 5 years. Pediatric cannabis exposures reported to US poison centers have risen over the last twenty years, with greater increases in the last 5 years. In 2020, the Coronavirus disease 2019 (COVID-19) pandemic resulted in widespread stay-at-home orders and subsequent changes in work, education, and daycare. This study describes the changes in pediatric cannabis exposures during the first nine months of the COVID-19 pandemic relative to the three years before the pandemic. METHODS: Cases were identified from the National Poison Data System. Inclusion criteria was unintentional cannabis exposure in children aged 6 months to 5 years between January 1, 2017 and December 31, 2020. Analysis was performed with segmented regression of interrupted time series analysis comparing January 2017-March 2020 (pre-COVID-19) to April 2020-December 2020 (COVID-19 period). Autocorrelation was assessed using Dubin-Watson test. RESULTS: There were 7,679 unintentional pediatric exposures from January 1, 2017 through December 31, 2020. There was a significant increase of 3.1% per month during the pre-COVID-19 period (p < .0001). A statistically significant immediate increase in number of exposures per month occurred in April 2020 (58.4%; p < .0001). The slope in the COVID-19 period was -0.01% (p = .99). No autocorrelation was detected. DISCUSSION AND CONCLUSIONS: Unintentional cannabis exposures in children aged 6 months to 5 years reported to United States poison centers increased significantly after the initial COVID-19 stay-at-home orders. This trend may be associated with COVID-19 quarantines, increased time children are spending at home, increased availability of cannabis products in homes, or other reasons. Future efforts should evaluate specific factors that resulted in the observed increases in pediatric exposures.

The COVID-19 pandemic's impact on worry and medical disruptions reported by individuals with chromosome 22q11.2 copy number variants and their caregivers.

BACKGROUND: The world has suffered immeasurably during the COVID-19 pandemic. Increased distress and mental and medical health concerns are collateral consequences to the disease itself. The Genes to Mental Health (G2MH) Network consortium sought to understand how individuals affected by the rare copy number variations of 22q11.2 deletion and duplication syndrome, associated with neurodevelopmental/neuropsychiatric conditions, were coping. The article focuses on worry and disruptions in medical care caused by the pandemic. METHODS: The University of Pennsylvania COVID-19 Stressor List and care disruption questions were circulated by 22 advocacy groups in English and 11 other languages. RESULTS: A total of 512 people from 23 countries completed the survey; most were caregivers of affected individuals. Worry about family members acquiring COVID-19 had the highest average endorsed worry, whilst currently having COVID-19 had the lowest rated worry. Total COVID-19 worries were higher in individuals completing the survey towards the end of the study (later pandemic wave); 36% (n = 186) of the sample reported a significant effect on health due to care interruption during the pandemic; 44% of individuals (n = 111) receiving care for their genetic syndrome in a hospital setting reported delaying appointments due to COVID-19 fears; 12% (n = 59) of the sample reported disruptions to treatments; and of those reporting no current disruptions, 59% (n = 269) worried about future disruptions if the pandemic continued. Higher levels of care disruptions were related to higher COVID-19 worries (Ps < 0.005). Minimal differences by respondent type or copy number variation type emerged. CONCLUSIONS: Widespread medical care disruptions and pandemic-related worries were reported by individuals with 22q11.2 syndrome and their family members. Reported worries were broadly consistent with research results from prior reports in the general population. The long-term effects of COVID-19 worries, interruptions to care and hospital avoidance require further study.

National assessment of anti-epileptic drug exposures among pre-teens and adolescents, 2000-2020.

BACKGROUND AND OBJECTIVES: Anti-epileptic drugs (AEDs) are increasingly used to treat psychiatric conditions, exposing many children to potentially harmful medications. This includes adolescents, who are at higher risk for self-harm. The purpose of this study was to describe the epidemiology of pediatric AED poisonings and assess which AEDs are associated with more severe clinical outcomes. METHODS: This retrospective cross-sectional analysis examined single-substance AED exposure cases in pre-teens (10-14 years) and adolescents (15-19 years) reported to the National Poison Database System (NPDS) between 2000 and 2020 (cases through 2019 were included for trend analysis due to incomplete population data). We described characteristics of ingestions by age group, including AEDs implicated. RESULTS: There were 74,818 AED exposure cases reported to the NPDS, including 25,928 (34.7%) in pre-teens and 48,890 (65.3%) in adolescents. Among adolescents, 35,570 (72.8%) exposure cases were intentional, with 27,655 (56.6%) specifically related to a suspected suicide attempt. The most common AEDs implicated in poisonings were clonazepam (19.8%), valproic acid (15.3%), and lamotrigine (13.8%). The odds of hospitalization (adjusted odds ratio [aOR] 2.0 [95% confidence interval [CI], 2.0-2.1]), intubation (aOR 2.1 [95% CI, 1.8-2.4]), seizure (aOR 1.6 [95% CI, 1.4-1.9]), and serious outcome (aOR 1.8 [95% CI, 1.7-1.9]) were higher in the adolescent group compared to the pre-teen group. Intentional ingestions increased by a yearly rate of 2.8% (95% CI, 2.3-3.2). Intentional tiagabine exposure was associated with the greatest increased odds of serious outcome (aOR 4.7 [95% CI, 3.6-6.3]). DISCUSSION: In this cross-sectional analysis of pediatric AED exposure cases reported to the NPDS, AED poisonings among pre-teens and adolescents increased significantly between 2000 and 2019. Of particular concern is the large increase in intentional exposure cases related to AEDs. With the population-adjusted rate of epilepsy diagnoses remaining relatively unchanged, these results may indicate that the rise in AED exposure cases may be related to increased prescribing of AEDs for psychiatric indications as opposed to epilepsy. CONCLUSIONS: Pediatric AED poisonings reported to the NPDS are increasing, especially among adolescents engaging in intentional ingestions. These findings provide additional information for consideration in risk-benefit assessments when selecting medications for the treatment of psychiatric conditions in children.

Making US poison centers a part of the solution to the COVID-19 pandemic.

OBJECTIVES: Our six goals are: 1) describe the relationship between the National Strategy for the COVID-19 Response and Pandemic Preparedness and the 55 US poison centers (PCs); 2) detail FDA emergency Use Authorization (EUA) COVID-19 vaccine-related regulatory procedures and associated acronyms; 3) list availability of specific vaccine clinical information to support PC staff COVID-19 vaccination and adverse event (AE) data collection; 4) describe required health care practitioner COVID-19 vaccine AE reporting to the Vaccine AE Reporting System (VAERS) and PC reporting options; 5) document public and health care professionals' use of PCs for COVID-19 vaccine information; and 6) propose strategy to maximize PCs contribution to the pandemic solution. METHODS: We reviewed 13-Feb-2020 through 15-Apr-2021 National Poison Data System (NPDS) COVID-19 records for changes over time. We examined NPDS cases and VAERS COVID-19 vaccine reports 1-Nov-2020 through 2-Apr-2021 for vaccine manufacturer, patient characteristics, state, and clinical effects. RESULTS: PCs reported 1,052,174 COVID-19 contacts; maximum (peak) contacts/day (12,163) on 16-Mar-2020. As of 5-Apr-2021 the US reported >167 million administrations of COVID-19 vaccines (Pfizer-BioNTech, Moderna or Janssen). US PCs reported 162,052 COVID-19 vaccine contacts. Most (61.1%) were medical information calls, 34.9% were drug information, and 2.58% were exposures. Over the same period VAERS reported 49,078 COVID-19 vaccine cases reporting 226,205 symptoms - headache most frequent, ranging from 20% to 40% across the 3 vaccines. CONCLUSIONS AND RECOMMENDATIONS: Although differences exist between the intent and content of the 2 data sets, NPDS volume is compelling. The PC nationwide 800 number facilitates data collection and suggests comingling the 2 data streams has merit. PC professionals received tens of thousands of calls and can: 1) support fact-based vaccine information; 2) contribute vaccine AE follow-up information: 3) advocate for best-case coding and reporting, especially for vaccine adverse experiences.

Opioid Exposures Reported to U.S. Poison Centers.

OBJECTIVE: Opioid-related deaths are a leading cause of accidental deaths in the United States (U.S.). This study aims to examine the national trends in opioid exposures reported to U.S. poison centers (PCs). METHODS: The National Poison Data System (NPDS) was queried for opioid exposures between 2011 and 2018. We descriptively assessed the demographic and clinical characteristics. Trends in opioid frequencies and rates were analyzed using Poisson regression. Independent predictors of serious adverse events in opioid exposures were studied. RESULTS: There were a total of 604,183 opioid exposure calls made to the PCs during the study period. The frequency of opioid exposures decreased by 28.9% (95% CI: -29.6%, -28.1%; p < 0.001), and the rate of opioid exposures decreased by 21.2% (95% CI: -24.7%, -16.9%; p < 0.001). Multiple substance exposures accounted for 48.9% cases. The most frequent age group was 20-29 years (19.3%). Suspected suicides accounted for 34.9% cases. There were 7,246 deaths in our study sample, with 6.8% of cases demonstrating major effects. Hydrocodone was the most frequently observed opioid causing a toxic exposure and naloxone was used in 20.6% cases. Important predictors of a serious adverse event were age, gender, multi-substance exposures, and reasons for exposure. CONCLUSIONS: Analysis of calls to PCs indicated a decreasing trend of opioid exposures. However, the proportion of SAEs due to such exposures increased. There was a high proportion of intentional exposures and occurred in older age groups. PCs are a vital component of real-time public health surveillance of overdoses in the current opioid crisis.

Characterization of intentional lurasidone ingestions using the United States National Poison Data System.

Introduction: The ziprasidone analogue lurasidone is approved for the treatment of schizophrenia and bipolar disorder for adults and children older than 10 years. Small studies and case reports suggest lurasidone overdose is not generally associated with major adverse effects, but no large sample has been published.Objective: To describe intentional lurasidone overdoses reported to poison centers.Methods: Retrospective analysis of single-substance intentional lurasidone ingestions from the National Poison Data System (NPDS) from 2011 to 2018.Results: There were 1753 single-substance intentional overdoses. Average age was 28.6 years (SD = 13.3 years) and 1199 (68.4%) of patients were female. Most cases (86.6%) were coded as suspected suicide. Regarding final management site, 1143 (65.2%) were discharged or admitted to psychiatric facilities; 328 (18.8%) were admitted, half of whom were admitted to critical care units (CCUs). Major effect was coded in 12 (0.7%), moderate effect in 259 (14.8%), minor effect in 531 (30%), and no effect in 614 (35%). There were no deaths. For cases for which dose information was available, there was not a statistically significant difference between median doses when analyzed by clinical effect. Most common adverse effects were drowsiness (449, 25.6%), tachycardia (254, 14.5%), vomiting (121, 6.9%), and hypertension (115, 6.6%). Most cases had either no therapy reported, or therapy was recommended by the poison center but confirmed not to have been administered (1010, 57.6%). Of the 164 patients admitted to CCUs, 80 (48.8%) received either no therapy or intravenous fluids alone.Discussion: These data suggest major effects are uncommon from lurasidone overdose. Despite a high rate of admission to CCUs, a substantial proportion received no critical therapies.Conclusions: This report demonstrates intentional lurasidone overdoses reported to poison centers generally have a favorable clinical course.

Epidemiology of pediatric buprenorphine and methadone exposures reported to the poison centers.

BACKGROUND: Buprenorphine prescriptions have increased dramatically within the United States, whereas methadone continues to be used widely. We investigated the trends and characteristics of buprenorphine and methadone exposures in the pediatric population. METHODS: We identified pediatric exposures to buprenorphine and methadone using the National Poison Data System from 2013 to 2016. We descriptively assessed characteristics of the exposures. Trends in exposures were evaluated using generalized linear mixed models. RESULTS: Pediatric buprenorphine exposures increased from 2013 (1097) to 2016 (1226) while methadone calls decreased (486 to 396). After adjusting for the random effects of the geographical region, the mean number of pediatric buprenorphine exposures (per 100,000 pediatric population) increased from 1.3 to 1.5 (P = .05). Conversely, the mean number of methadone exposures decreased from 0.6 to 0.4 (P = .03). Children aged ≤3 years constituted the highest percentage of both exposures. Unintentional exposures accounted for most of the buprenorphine (86.9%) and methadone (62.4%) exposures. Major clinical effects were demonstrated in 2.3% of buprenorphine exposures and were more frequent with methadone (13%). West Virginia and Maryland demonstrated the highest incidence of buprenorphine and methadone exposures, respectively. CONCLUSIONS: Pediatric buprenorphine exposures increased but demonstrated less severe effects compared to methadone exposures, which decreased during the study period.

Trends and characteristics of naloxone therapy reported to US poison centers.

BACKGROUND AND AIMS: In the United States, access to naloxone has been expanded as a measure to address growing opioid overdose mortality. The study aimed to describe the national trends in naloxone use as reported to the US poison centers (PCs). METHODS: The National Poison Data System (NPDS) was queried for cases reporting naloxone therapy from 1 January 2001 to 31 December 2016. Demographic and clinical characteristics were assessed descriptively. Trends in naloxone reports were evaluated by using generalized linear mixed models that were adjusted for age, gender and random effects of the geographical census region. Cumulative incidence rates (CIR) of naloxone reports at the state- and national-level were calculated. RESULTS: There were 304 249 cases reporting naloxone therapy during the study period. The frequency of naloxone reports increased from 9498 in 2000 to 26 826 in 2016. The proportion of cases where naloxone was used prior to PC recommendation increased from 59.8% in 2000 to 81.5% in 2016. The mean number of NPDS naloxone reports per 100 000 human exposures increased from 9.6 [95% confidence interval (CI) = 6.4-14.2] to 31.7 (95% CI = 21.4-46.9, P < 0.001). Among the cases, 52.4% were female and the most frequent age group was 20-39 years (39.1%). The principal reason for a toxic exposure resulting in a naloxone report was suspected suicide (55.0%). Life-threatening symptoms were seen in one-fifth of the cases, with 53.9% cases being admitted to critical care units. Opioids (59.7% cases), were the most commonly reported exposure agents, with hydrocodone being most frequently reported. The national CIR of naloxone reports to the US PCs was 6.3 cases per 100 000 population, with West Virginia demonstrating the highest incidence. CONCLUSIONS: Analysis of calls to the United States poison centers indicates an increasing trend of naloxone use from 2000 to 2016.

Antipyretic Medication Exposures Among Young Children Reported to US Poison Centers, 2000-2015.

This study used the National Poison Data System database to retrospectively analyze the characteristics and medical outcomes of exposures to antipyretic medications involving children younger than 6 years in the United States. From 2000 through 2015, United States Poison Control Centers recorded an average of 74 387 antipyretic exposures annually among children younger than 6 years. Most exposures involved ibuprofen (55.1%) or acetaminophen (40.1%). From 2000 to 2009, the number of exposures increased by 73.0%, followed by a 25.2% decrease from 2009 to 2015. Children exposed to acetaminophen had 1.98 times higher odds of a serious medical outcome compared with those exposed to ibuprofen. Although generally safe at the correct dosage, antipyretic exposures continue to cause pediatric morbidity and, in rare cases, death. Prevention efforts should focus on reducing child access; educating caregivers about the potential dangers of antipyretics; and discouraging their use, except when needed to improve a child's comfort.

Non-health care facility medication errors resulting in serious medical outcomes.

OBJECTIVE: The objective of this study is to provide an epidemiologic analysis of medication errors occurring outside of health care facilities that result in serious medical outcomes (defined by the National Poison Database System as "moderate effect," "major effect," "death," or "death, indirect report"). METHODS: National Poison Database System data from 2000 through 2012 were used for this retrospective analysis of non-health care facility medication errors. RESULTS: From 2000 through 2012, Poison Control Centers in the United States received data on 67,603 exposures related to unintentional therapeutic pharmaceutical errors that occurred outside of health care facilities that resulted in serious medical outcomes. The overall average rate of these medication errors was 1.73 per 100,000 population, and there was a 100.0% rate increase during the 13-year study period. Medication error frequency and rates increased for all age groups except children younger than 6 years of age. Medical outcome was most commonly reported as moderate effect (93.5%), followed by major effect (5.8%) and death (0.6%). Common types of medication errors included incorrect dose, taking or administering the wrong medication, and inadvertently taking the medication twice. The medication categories most frequently associated with serious outcomes were cardiovascular drugs (20.6%) (primarily beta blockers, calcium antagonists, and clonidine), analgesics (12.0%) (most often opioids and acetaminophen, alone and combination products), and hormones/hormone antagonists (11.0%) (in particular, insulin, and sulfonylurea). CONCLUSIONS: This study analyzed non-health care facility medication errors resulting in serious medical outcomes. The rate of non-health care facility medication errors resulting in serious medical outcomes is increasing, and additional efforts are needed to prevent these errors.