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INTRODUCTION: The use of electronic vaping products (EVPs) containing nicotine, marijuana, and/or other substances remains prominent among youth; with EVPs containing nicotine being the most commonly used tobacco product among youth since 2014. However, a detailed understanding of the chemical composition of these products is limited. AIMS AND METHODS: From February 25th to March 15th, 2019, a total of 576 EVPs, including 233 e-cigarette devices (with 43 disposable vape pens) and 343 e-liquid cartridges/pods/bottled e-liquids, were found or confiscated from a convenience sample of 16 public high schools in California. Liquids inside 251 vape pens and cartridges/pods/bottled e-liquids were analyzed using a gas chromatography/mass spectrometry (GC/MS). For comparison, new JUUL pods, the most commonly used e-cigarette among youth during 2018-2019, with different flavorings and nicotine content were purchased and analyzed. RESULTS: For e-cigarette cartridges/pods/bottled e-liquids, nicotine was detected in 204 of 208 (98.1%) samples. Propylene glycol and vegetable glycerin were dominant solvents in nicotine-containing EVPs. Among 43 disposable vape pen devices, cannabinoids such as tetrahydrocannabinol (THC) or cannabidiol (CBD) were identified in 39 of 43 (90.1%) samples, of which three contained both nicotine and THC. Differences in chemical compositions were observed between confiscated or collected JUULs and purchased JUULs. Measured nicotine was inconsistent with labels on some confiscated or collected bottled e-liquids. CONCLUSIONS: EVPs from 16 participating schools were found to widely contain substances with known adverse health effects among youth, including nicotine and cannabinoids. There was inconsistency between labeled and measured nicotine on the products from schools. IMPLICATIONS: This study measured the main chemical compositions of EVPs found at 16 California public high schools. Continued efforts are warranted, including at the school-level, to educate, prevent, and reduce youth use of EVPs.
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Sistemas Electrónicos de Liberación de Nicotina , Nicotina , Instituciones Académicas , Vapeo , California , Humanos , Nicotina/análisis , Adolescente , Cromatografía de Gases y Espectrometría de Masas , Aromatizantes/análisisRESUMEN
BACKGROUND: E-cigarettes are the most commonly used tobacco product among US youth and are regularly used on school grounds. We assessed school staff's awareness of students' e-cigarette use, response by schools, and resources needed to address use, and examined e-cigarettes confiscated by school staff in North Carolina to guide prevention and identify needed resources. METHODS: In May 2019, staff from a random sample of 25 of 451 North Carolina public and charter high schools were invited to complete an online survey and semistructured interview; 12 schools consented to ≥ 1 component (survey, N = 514; interviews, N = 35). Staff knowledge and perceptions of students' e-cigarette use and school tobacco policies were assessed, including school efforts to address e-cigarette use. E-cigarette products confiscated by nine schools from students during the 2018-2019 school year were collected. LIMITATIONS: Only 12 public high schools participated, and these schools might not be representative of all North Carolina high schools. Quantitative surveys were not collected from all staff at participating schools; however, the response rate was 62% and included different staff positions and both urban and rural schools. Finally, e-cigarette products collected by schools might not be representative of all devices used by students. RESULTS: Among surveyed staff, 33% observed students using e-cigarettes on school grounds; 86% believed e-cigarette use somewhat or largely contributes to learning disruptions. Overall, 94% of respondents knew their school's policy prohibits student e-cigarette use on school grounds, and 57% were not confident their school has resources to help students quit. From 35 interviews, themes included concern that schools' tobacco-free policies do not deter use and additional resources are needed to address e-cigarette use in schools. Of 336 collected devices, there were different e-cigarette types and most (65%) e-liquid bottles were flavored. CONCLUSION: Efforts are warranted to incorporate evidence-based curricula; educate staff, parents, and youth regarding health risks of e-cigarette use; and help youth quit e-cigarettes.
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OBJECTIVES: The COVID-19 pandemic has highlighted the importance and complexity of a country's ability to effectively respond. The Joint External Evaluation (JEE) assessment was launched in 2016 to assess a country's ability to prevent, detect and respond to public health emergencies. We examined whether JEE indicators could be used to predict a country's COVID-19 response performance to tailor a country's support more effectively. DESIGN: From April to August 2020, we conducted interviews with Centers for Disease Control and Prevention country offices that requested COVID-19 support and previously completed the JEE (version 1.0). We used an assessment tool, the 'Emergency Response Capacity Tool' (ERCT), to assess COVID-19 response performance. We analysed 28 ERCT indicators aligned with eight JEE indicators to assess concordance and discordance using strict agreement and weighted kappa statistics. Generalised estimating equation (GEE) models were used to generate predicted probabilities for ERCT scores using JEE scores as the independent model variable. RESULTS: Twenty-three countries met inclusion criteria. Of the 163 indicators analysed, 42.3% of JEE and ERCT scores were in agreement (p value=0.02). The JEE indicator with the highest agreement (62%) was 'Emergency Operations Center (EOC) operating procedures and plans', while the lowest (16%) was 'capacity to activate emergency operations'. Findings were consistent with weighted kappa statistics. In the GEE model, EOC operating procedures and plans had the highest predicted probability (0.86), while indicators concerning response strategy and coordination had the lowest (≤0.5). CONCLUSIONS: Overall, there was low agreement between JEE scores and COVID-19 response performance, with JEE scores often trending higher. JEE indicators concerning coordination and operations were least predictive of COVID-19 response performance, underscoring the importance of not inferring country response readiness from JEE scores alone. More in-depth country-specific investigations are likely needed to accurately estimate response capacity and tailor countries' global health security activities.
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COVID-19 , Salud Global , Humanos , Cooperación Internacional , Pandemias , SARS-CoV-2RESUMEN
We compared the characteristics of hospitalized and nonhospitalized patients who had coronavirus disease in Atlanta, Georgia, USA. We found that risk for hospitalization increased with a patient's age and number of concurrent conditions. We also found a potential association between hospitalization and high hemoglobin A1c levels in persons with diabetes.
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COVID-19 , Diabetes Mellitus , Hemoglobina Glucada/análisis , Hospitalización/estadística & datos numéricos , Hipertensión , Obesidad , Manejo de Atención al Paciente , Factores de Edad , COVID-19/epidemiología , COVID-19/psicología , COVID-19/terapia , Diabetes Mellitus/sangre , Diabetes Mellitus/epidemiología , Progresión de la Enfermedad , Femenino , Georgia/epidemiología , Humanos , Hipertensión/tratamiento farmacológico , Hipertensión/epidemiología , Masculino , Persona de Mediana Edad , Multimorbilidad , Obesidad/diagnóstico , Obesidad/epidemiología , Aceptación de la Atención de Salud , Manejo de Atención al Paciente/métodos , Manejo de Atención al Paciente/normas , Manejo de Atención al Paciente/estadística & datos numéricos , Medición de Riesgo/métodos , Medición de Riesgo/estadística & datos numéricos , Factores de Riesgo , SARS-CoV-2RESUMEN
PURPOSE: To examine the chemical composition of JUUL pods collected from a convenience sample of 16 high schools in California to identify possible consumer modification or counterfeit use. METHODS: Using Gas Chromatography-Mass Spectrometry, we quantitatively analyzed the nicotine, propylene glycol (PG), and vegetable glycerin (VG) in JUUL pods (n = 26) collected from California high schools and compared results to commercial 3% (n = 15) and 5% (n = 24) JUUL pods purchased online. RESULTS: Most of the collected JUUL pods (24/26 pods) had a nicotine concentration (43.3 mg/ml, 95% PI: 21.5-65.1) outside the prediction intervals (PI) of the 3% (33.5 mg/ml, 95% PI: 31.8-35.2) and 5% (55.0 mg/ml, 95% PI: 51.5-58.3) commercial JUUL pods. Most (73%) collected JUUL pods had VG concentrations (583.5 mg/ml, PI: 428.9-738.1) lower than the 3% (722.2 mg/ml, PI: 643.0-801.4) and 5% (710.5 mg/ml, PI: 653.1-767.8) commercial JUUL pods. CONCLUSIONS: Used JUUL products collected from high school students or found on school grounds were not chemically consistent with the manufacturer's stated formulations.
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Sistemas Electrónicos de Liberación de Nicotina , Vapeo , California , Aromatizantes , Humanos , Instituciones Académicas , EstudiantesRESUMEN
The first reported U.S. case of coronavirus disease 2019 (COVID-19) was detected in January 2020 (1). As of June 15, 2020, approximately 2 million cases and 115,000 COVID-19-associated deaths have been reported in the United States.* Reports of U.S. patients hospitalized with SARS-CoV-2 infection (the virus that causes COVID-19) describe high proportions of older, male, and black persons (2-4). Similarly, when comparing hospitalized patients with catchment area populations or nonhospitalized COVID-19 patients, high proportions have underlying conditions, including diabetes mellitus, hypertension, obesity, cardiovascular disease, chronic kidney disease, or chronic respiratory disease (3,4). For this report, data were abstracted from the medical records of 220 hospitalized and 311 nonhospitalized patients aged ≥18 years with laboratory-confirmed COVID-19 from six acute care hospitals and associated outpatient clinics in metropolitan Atlanta, Georgia. Multivariable analyses were performed to identify patient characteristics associated with hospitalization. The following characteristics were independently associated with hospitalization: age ≥65 years (adjusted odds ratio [aOR] = 3.4), black race (aOR = 3.2), having diabetes mellitus (aOR = 3.1), lack of insurance (aOR = 2.8), male sex (aOR = 2.4), smoking (aOR = 2.3), and obesity (aOR = 1.9). Infection with SARS-CoV-2 can lead to severe outcomes, including death, and measures to protect persons from infection, such as staying at home, social distancing (5), and awareness and management of underlying conditions should be emphasized for those at highest risk for hospitalization with COVID-19. Measures that prevent the spread of infection to others, such as wearing cloth face coverings (6), should be used whenever possible to protect groups at high risk. Potential barriers to the ability to adhere to these measures need to be addressed.
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Infecciones por Coronavirus/terapia , Hospitalización/estadística & datos numéricos , Neumonía Viral/terapia , Adolescente , Adulto , Anciano , COVID-19 , Ciudades/epidemiología , Infecciones por Coronavirus/epidemiología , Femenino , Georgia/epidemiología , Humanos , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/epidemiología , Factores de Riesgo , Adulto JovenRESUMEN
CDC, the Food and Drug Administration, state and local health departments, and other public health and clinical stakeholders are investigating a national outbreak of electronic-cigarette (e-cigarette), or vaping, product use-associated lung injury (EVALI) (1). As of October 22, 2019, 49 states, the District of Columbia (DC), and the U.S. Virgin Islands have reported 1,604 cases of EVALI to CDC, including 34 (2.1%) EVALI-associated deaths in 24 states. Based on data collected as of October 15, 2019, this report updates data on patient characteristics and substances used in e-cigarette, or vaping, products (2) and describes characteristics of EVALI-associated deaths. The median age of EVALI patients who survived was 23 years, and the median age of EVALI patients who died was 45 years. Among 867 (54%) EVALI patients with available data on use of specific e-cigarette, or vaping, products in the 3 months preceding symptom onset, 86% reported any use of tetrahydrocannabinol (THC)-containing products, 64% reported any use of nicotine-containing products, and 52% reported use of both. Exclusive use of THC-containing products was reported by 34% of patients and exclusive use of nicotine-containing products by 11%, and for 2% of patients, no use of either THC- or nicotine-containing products was reported. Among 19 EVALI patients who died and for whom substance use data were available, 84% reported any use of THC-containing products, including 63% who reported exclusive use of THC-containing products; 37% reported any use of nicotine-containing products, including 16% who reported exclusive use of nicotine-containing products. To date, no single compound or ingredient used in e-cigarette, or vaping, products has emerged as the cause of EVALI, and there might be more than one cause. Because most patients reported using THC-containing products before symptom onset, CDC recommends that persons should not use e-cigarette, or vaping, products that contain THC. In addition, because the specific compound or ingredient causing lung injury is not yet known, and while the investigation continues, persons should consider refraining from the use of all e-cigarette, or vaping, products.
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Brotes de Enfermedades , Sistemas Electrónicos de Liberación de Nicotina , Lesión Pulmonar/epidemiología , Vapeo/efectos adversos , Adolescente , Adulto , Anciano , Centers for Disease Control and Prevention, U.S. , Dronabinol/toxicidad , Femenino , Humanos , Lesión Pulmonar/mortalidad , Masculino , Persona de Mediana Edad , Estados Unidos/epidemiología , Adulto JovenRESUMEN
Electronic cigarettes (e-cigarettes), also called vapes, e-hookas, vape pens, tank systems, mods, and electronic nicotine delivery systems (ENDS), are electronic devices that produce an aerosol by heating a liquid typically containing nicotine, flavorings, and other additives; users inhale this aerosol into their lungs (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis (1). Use of e-cigarettes is commonly called vaping. Lung injury associated with e-cigarette use, or vaping, has recently been reported in most states (2-4). CDC, the Food and Drug Administration (FDA), state and local health departments, and others are investigating this outbreak. This report provides data on patterns of the outbreak and characteristics of patients, including sex, age, and selected substances used in e-cigarette, or vaping, products reported to CDC as part of this ongoing multistate investigation. As of September 24, 2019, 46 state health departments and one territorial health department had reported 805 patients with cases of lung injury associated with use of e-cigarette, or vaping, products to CDC. Sixty-nine percent of patients were males, and the median age was 23 years (range = 13-72 years). To date, 12 deaths have been confirmed in 10 states. Among 514 patients with information on substances used in e-cigarettes, or vaping products, in the 30 days preceding symptom onset, 76.9% reported using THC-containing products, and 56.8% reported using nicotine-containing products; 36.0% reported exclusive use of THC-containing products, and 16.0% reported exclusive use of nicotine-containing products. The specific chemical exposure(s) causing the outbreak is currently unknown. While this investigation is ongoing, CDC recommends that persons consider refraining from using e-cigarette, or vaping, products, particularly those containing THC. CDC will continue to work in collaboration with FDA and state and local partners to investigate cases and advise and alert the public on the investigation as additional information becomes available.