Publications by Year: 2020

INTRODUCTION: Recent attention on the possible use of hydroxychloroquine and chloroquine to treat COVID-19 disease has potentially triggered a number of overdoses from hydroxychloroquine. Toxicity from hydroxychloroquine manifests with cardiac conduction abnormalities, seizure activity, and muscle weakness. Recognizing this toxidrome and unique management of this toxicity is important in the COVID-19 pandemic. CASE REPORT: A 27-year-old man with a history of rheumatoid arthritis presented to the emergency department 7 hours after an intentional overdose of hydroxychloroquine. Initial presentation demonstrated proximal muscle weakness. The patient was found to have a QRS complex of 134 ms and QTc of 710 ms. He was treated with early orotracheal intubation and intravenous diazepam boluses. Due to difficulties formulating continuous diazepam infusions, we opted to utilize an intermitted intravenous bolus strategy that achieved similar effects that a continuous infusion would. The patient recovered without residual side effects. DISCUSSION: Hydroxychloroquine toxicity is rare but projected to increase in frequency given its selection as a potential modality to treat COVID-19 disease. It is important for clinicians to recognize the unique effects of hydroxychloroquine poisoning and initiate appropriate emergency maneuvers to improve the outcomes in these patients.

To our knowledge, there are no published reports of heat exhaustion and pesticide exposure in a labor trafficked patient in the literature. Here we represent the case of J.C.J.L., who was labor trafficked. He presented to a local emergency department with heat exhaustion and pesticide exposure related to working conditions in a Mississippi corn field. Unfortunately, while he received medical treatment, his labor trafficking condition was missed. Emergency departments should be equipped to assess for human trafficking and connect trafficked persons with the resources they need. Emergency physicians should maintain a high index of suspicion for human trafficking among migrant workers presenting with occupation-related complaints.

INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding community efforts at combating the opioid epidemic. Wastewater-based epidemiology (WBE) is a potential method to quantify community-level trends of opioid exposure beyond overdose data, which is the basis of most existing response efforts. However, most WBE efforts collect parent opioid compounds (e.g., morphine) at wastewater treatment facilities, measuring opioid concentrations across large catchment zones which typically represent an entire municipality. We sought to deploy a robotic sampling device at targeted manholes within a city to semi-quantitatively detect opioid metabolites (e.g., morphine glucuronide) at a sub-city community resolution. METHODS: We deployed a robotic wastewater sampling platform at ten residential manholes in an urban municipality in North Carolina, accounting for 44.5% of the total municipal population. Sampling devices comprised a robotic sampling arm with in situ solid phase extraction, and collected hourly samples over 24-hour periods. We used targeted mass spectrometry to detect the presence of a custom panel of opioids, naloxone, and buprenorphine. RESULTS: Ten sampling sites were selected to be a representative survey of the entire municipality by integrating sewer network and demographic GIS data. All eleven metabolites targeted were detected during the program. The average morphine milligram equivalent (MME) across the nine illicit and prescription opioids, as excreted and detected in wastewater, was 49.1 (standard deviation of 31.9) MME/day/1000-people. Codeine was detected most frequently (detection rate of 100%), and buprenorphine was detected least frequently (12%). The presence of naloxone correlated with city data of known overdoses reversed by emergency medical services in the prehospital setting. CONCLUSION: Wastewater-based epidemiology with smart sewer selection and robotic wastewater collection is feasible to detect the presence of specific opioids, naloxone, methadone, and buprenorphine within a city. These results suggest that wastewater epidemiology could be used to detect patterns of opioid exposure and may ultimately provide information for opioid use disorder (OUD) treatment and harm reduction programs.

Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks. Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence.

Current estimates of COVID-19 prevalence are largely based on symptomatic, clinically diagnosed cases. The existence of a large number of undiagnosed infections hampers population-wide investigation of viral circulation. Here, we use longitudinal wastewater analysis to track SARS-CoV-2 dynamics in wastewater at a major urban wastewater treatment facility in Massachusetts, between early January and May 2020. SARS-CoV-2 was first detected in wastewater on March 3. Viral titers in wastewater increased exponentially from mid-March to mid-April, after which they began to decline. Viral titers in wastewater correlated with clinically diagnosed new COVID-19 cases, with the trends appearing 4-10 days earlier in wastewater than in clinical data. We inferred viral shedding dynamics by modeling wastewater viral titers as a convolution of back-dated new clinical cases with the viral shedding function of an individual. The inferred viral shedding function showed an early peak, likely before symptom onset and clinical diagnosis, consistent with emerging clinical and experimental evidence. Finally, we found that wastewater viral titers at the neighborhood level correlate better with demographic variables than with population size. This work suggests that longitudinal wastewater analysis can be used to identify trends in disease transmission in advance of clinical case reporting, and may shed light on infection characteristics that are difficult to capture in clinical investigations, such as early viral shedding dynamics.

BACKGROUND: Drug and alcohol use are risk factors for trauma among operators of motor vehicles and contribute to trauma in pedestrians and bicyclists. We describe the prevalence of drug and alcohol use and clinical consequences in a cohort of pedestrians and bicyclists with trauma. METHODS: We analyzed a 25-month data set of 916 trauma team activations from January 2017-January 2019 at an urban, level I trauma center. Blood ethanol levels and urine toxicology screens were obtained in 94 pedestrian and bicyclist trauma activations. We compared pedestrians or bicyclists with a positive urine or blood screen (n = 69) to those with negative screens (n = 25). We conducted a retrospective chart review to determine mechanism of injury, injury pattern, and disposition from the emergency department (ED). RESULTS: Overall, 38 (55%) of injured patients with positive screen were pedestrians and 31 (45%) were bicyclists. Fentanyl was the most commonly detected drug (n = 38; 40%), followed by opiates (n = 27; 29%), and tetrahydrocannabiol (THC) (n = 23; 25%). Twenty-one patients were positive for ethanol. Pedestrians and bicyclists with positive toxicology screens were significantly more likely to sustain fractures (p < .01), require an operative procedure (p < .05), or intensive care unit admission (p < .05). CONCLUSION: Our study builds on previous literature which suggests that intoxicated bicyclists and pedestrians suffer frequent and more severe injury than their sober counterparts. Public health campaigns should educate bicyclists and pedestrians about the risks of cycling or walking in areas of road traffic while under the influence of alcohol or illicit drugs.

Since 2014, Ukraine has been beset by an armed conflict with international and internal dimensions. The nature of this conflict is multidimensional, and disaster preparedness and response in this context must be as well. Health experts from Ukraine, the United States of America, United Kingdom, Czech Republic, and Norway convened for an educational event in Dnipro, East Ukraine on November 11-15, 2019. At the event, "Emerging Technologies and Countermeasures to CBRN Agents: Advanced Training Response to Conflict and Security Challenges in East Ukraine," over 1,000 participants participated in panel discussions, didactic lectures, and an advanced training on various dimensions of disaster response. This report provides an overview of the key discussions and outcomes of the event.