Abstract
BACKGROUND: A multistate outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) occurred in 2019. Because of EVALI's novelty and severity, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) prospectively assessed sequelae among NYC residents who received an EVALI diagnosis in 2019. METHODS: Using existing NYC EVALI surveillance data, DOHMH attempted contact with all living residents who received an EVALI diagnosis in 2019 and conducted 3 waves of telephone interviews during April 2020-March 2021. Interview questions were adapted from the Centers for Disease Control and Prevention's EVALI case report form and validated surveys. Baseline differences between respondents and nonrespondents were assessed with Chi-square and Fisher's exact tests; clinical and behavioral characteristics and open-ended responses were summarized. RESULTS: In 2019, 53 NYC residents received an EVALI diagnosis; 33 (67%), 14 (29%), and 18 (37%) of 49 living residents participated in the first, second, and third interviews, respectively. Interviews occurred after outpatient diagnosis (6%) or hospital discharge (94%), at a median of 8, 11, and 17 months for each wave. Respondents (N = 33) and nonrespondents (N = 16) did not differ by sex, age, hospitalization status or length. Respondents were mostly male (70%), had a median age of 23 years (range: 16-63 years), and all reported using vaping or e-cigarette products (vaping) with tetrahydrocannabinol (88%), nicotine (49%), or cannabidiol (9%) before diagnosis. Respiratory (first and second interviews) and gastrointestinal (third interviews) symptoms were most commonly reported. Sixteen respondents (49%) reported any new diagnosis during follow-up. Fifteen to 29% of respondents reported vaping at each interview; 58%-93% reported recent non-vaped cannabinoid use. CONCLUSION: NYC residents with EVALI reported symptoms throughout the follow-up period, and approximately half reported newly diagnosed health conditions. Further studies are needed to understand EVALI's relationship with symptoms and health conditions.