OBJECTIVES

Describe clinical characteristics of adolescents hospitalized with e-cigarette or vaping product use-associated lung injury (EVALI) and to investigate association between EVALI and coagulopathy.

METHODS

We conducted a retrospective cohort study of adolescents admitted to the general inpatient or ICUs at 2 major tertiary children’s hospitals from January 2019 to June 2021. We included analysis of demographics, clinical findings, laboratory and imaging results, and outcomes.

RESULTS

Forty-four hospitalizations met diagnostic criteria for inclusion per Centers for Disease Control and Prevention guidelines, with 55% of patients admitted after April 2020. Compared with adults, pediatric patients were less likely to present with pulmonary symptoms. Significant laboratory work included elevated white blood cell count of 14.3 k/uL (confidence interval [CI], 13.7–15.0) with neutrophilic predominance, C-reactive protein of 25.2 mg/dL (CI, 22.1–28.2), and erythrocyte sedimentation rate of 66.7 mm/hour (CI, 26.9–76.4). Chest radiographs were poor predictors of disease in 53% of our patients but computed tomography was 100% sensitive. Significant coagulation abnormalities included prothrombin time of 17.7 seconds (CI, 16.4–19.1) and international normalized ratio of 1.54 (CI, 1.43–1.66). Coagulation studies improved with vitamin K and steroid administration. Nine of 16 patients (56%) had abnormal diffusing capacity of the lung for carbon monoxide divided by alveolar volume <80% predicted, suggesting evidence of pulmonary vascular disease, or >100%, suggesting pulmonary hemorrhage.

CONCLUSIONS

EVALI continues to be an important differential diagnosis in the adolescent population. EVALI is likely a result of systemic inflammation with consequences beyond the pulmonary system. The novel report of coagulopathy among adolescents with EVALI in this cohort reveals an opportunity to detect coagulopathy and initiate early therapy.

When electronic cigarettes (e-cigarettes) were first introduced in the United States in 2016, they were marketed as a safer alternative to cigarettes and as a tool in adult smoking cessation. E-cigarettes are used to aerosolize e-liquids, which contain combinations of nicotine, flavorings, tetrahydrocannabinol (THC), and other chemicals with limited government regulation.1  E-liquid cartridges may be obtained from secondhand sources or secured illegally from the black market; in such cases, their contents are entirely unknown. In 2020, 3.6 million middle and high school students reported active e-cigarette use, far outpacing the number of students who reported the use of traditional cigarettes.12  Many adolescents do not associate vaping with smoking or drug use, and 40% to 60% of adolescents were unaware that commercial e-cigarettes contain nicotine.36 

The safety of e-cigarettes has become more controversial because of the outbreak of e-cigarette or vaping product use-associated lung injury (EVALI) reported by the Centers for Disease Control and Prevention (CDC) in 2019.2  In February 2020, the CDC reported 2807 cases of EVALI nationally, including 67 deaths. However, continued reports have been lacking, likely because of the coronavirus disease 2019 (COVID-19) outbreak. Then, the reported median age of diagnosis was 24 years, with 15% being <18 years old.7  Patients presented with respiratory, gastrointestinal (GI), and constitutional symptoms, with chest radiographs showing bilateral infiltrates and opacities8  associated with recent e-cigarette use (within previous 90 days), with illness not explained by an alternative diagnosis.911 

Because the pathophysiology of EVALI remains unknown, the diagnosis encompasses numerous radiographic disease patterns, such as acute eosinophilic pneumonia, organizing pneumonia, lipoid pneumonia, and hypersensitivity pneumonitis.12  There are multiple case reports of diffuse alveolar hemorrhage in patients undergoing bronchoscopy.1320  Hemoptysis has been reported in 10% of patients with EVALI.21  To date, there have been no published studies linking coagulopathy in these patients. Our study seeks to describe the continued presentation of EVALI in adolescents and explore whether it is associated with coagulopathy.

This retrospective cohort study was conducted at 2 major tertiary-care children’s hospitals and was approved by the institutional review board. Participants included 12- to 18-year-old patients who were admitted to the pediatric general inpatient or ICU between January 2019 and June 2021.

Study participants were selected on the basis of diagnosis codes specific to EVALI (International Classification of Diseases, 10th Revision codes: J68, U07), as well as combination codes for pulmonary (J12, 15–18, J98, J93, R09) or GI symptoms (R19, R11) and marijuana or nicotine use or abuse (F19, F12, T40) or urine drug screen positive for THC.

Records were reviewed by 1 of 3 pediatric hospitalists. Inclusion criteria for probable or confirmed EVALI were based on the 2019 CDC case definitions.22  Exclusion criteria included data from subsequent readmissions within 30 days, suspected EVALI but denial of e-cigarette use, and unrelated hospitalization. Data were collected on demographics, hospitalization metrics, laboratory testing, respiratory support, medication use (antibiotics, corticosteroids, vitamin K), imaging results, and pulmonary function testing (PFT). Statistical analysis was completed using IBM SPSS v27. Two-tailed student t test and χ2 statistics were used to determine the statistical difference in reported means between probable and confirmed EVALI cases before combining data. Laboratory values are reported as means and 95% confidence intervals (Cis). PFTs were analyzed by a pediatric pulmonologist and normalized using the global lung function 2012 predictive values. Two-tailed paired and unpaired student t tests were used for PFT analysis.

Using the above-mentioned criteria, 103 patient records were extracted from the electronic health record system. Excluded patients had primary hospitalization diagnoses of cannabinoid hyperemesis syndrome (n = 18), acute intoxication (n = 8), chest pain/syncope (n = 6), asthma exacerbation (n = 4), and other (n = 25).

Forty-four patients (11 probable and 33 confirmed cases of EVALI) met the inclusion criteria for final analysis; 45% of the cases presenting after June 2020 (Fig 1). In the probable EVALI group, viral testing was positive for mycoplasma IgM (n = 2), rhino/enterovirus (n = 3), cytomegalovirus IgM (n = 1), and respiratory syncytial virus (n = 1). None of the viruses were thought to be causative of disease. Remaining probable EVALI patients lacked minimum criteria (ie, respiratory viral testing) to meet the CDC definition of confirmed EVALI. No patients in this study tested positive for severe acute respiratory syndrome coronavirus 2. Statistical analysis was used to compare clinical characteristics and laboratory values between probable and confirmed cases. Except for age, there were no statistical differences. Thus, data are described in aggregate.

FIGURE 1

Admission timeline. Bar graph represents chronology of admissions of EVALI at 2 different tertiary children’s hospitals.

FIGURE 1

Admission timeline. Bar graph represents chronology of admissions of EVALI at 2 different tertiary children’s hospitals.

Close modal

Patients with probable EVALI were found to be significantly younger than patients with confirmed EVALI (15.6 vs 16.4 years; P = .04). In aggregate, average age was 16.2 years, and 64% of the patients were males (Table 1). The majority (90%) of patients admitted to using THC-containing products. At the time of admission, vomiting, fever, and cough were most reported. Moreover, 84% and 81% of the patients presented with constitutional and GI symptoms, whereas 72% of the patients presented with respiratory symptoms. Notably, in half of patients, GI symptoms were noted before the development of other symptoms. In 17 of these 44 patients with clear timelines, GI symptoms preceded pulmonary symptoms by 4.7 days [CI, 4.0–5.4]. In addition, 4 patients had weeks-long histories of GI symptoms, and 2 patients had unclear timelines. The average reported weight loss was 12.2 kg [CI, 10.2–14.0] within the last 3 months. Of the 5 EVALI patients with previous asthma history, 4 had mild intermittent asthma with no controller use and 1 had moderate persistent asthma on dual inhaled corticosteroid/long-acting β agonist therapy. Ten patients (23%) had psychiatric diagnoses of depression, anxiety, or attention deficit hyperactivity disorder.

TABLE 1

Demographics, Population Characteristics, and Symptoms at Time of Admission

Probable (n = 11)Confirmed (n = 33)Aggregate (n = 44)
Demographics    
 Age, y (95% CI) 15.6 (15.3–15.9) 16.4 (16.3–16.6) 16.2 (16.0–16.4) 
 Sex    
  Male 21 28 
  Female 12 16 
 Race    
  White 21 27 
  Hispanic 12 
  African American 
  Other 
 E-cigarette or vaping history in past 90 d    
  Nicotine only 
  THC only 23 29 
  Both 11 
  Unknown 
 Medical history    
  Asthma 
  Psychiatric history, anxiety, depression, ADHD 11 
Symptoms at admission    
 Constitutional, any (P = .47) 10 (90%) 27 (82%) 37 (84%) 
  Fever 20 28 
  Fatigue 12 
  Weight loss 12 15 
  Reported loss, kg (95% CI) 5.1 (4.4–5.8) 14.0 (11.9–16.1) 12.2 (10.2–14.0) 
  Chills 
  Headache 
 Pulmonary, any (P = 1.0) 8 (72%) 24 (72%) 32 (72%) 
  Cough 19 26 
  Shortness of breath 14 19 
  Chest pain or tightness 11 
  Congestion 
  Hemoptysis 
 GI, any (P = .42) 10 (90%) 26 (78%) 36 (81%) 
 Nausea or vomiting 26 35 
  Diarrhea 13 18 
  Abdominal pain 12 
Probable (n = 11)Confirmed (n = 33)Aggregate (n = 44)
Demographics    
 Age, y (95% CI) 15.6 (15.3–15.9) 16.4 (16.3–16.6) 16.2 (16.0–16.4) 
 Sex    
  Male 21 28 
  Female 12 16 
 Race    
  White 21 27 
  Hispanic 12 
  African American 
  Other 
 E-cigarette or vaping history in past 90 d    
  Nicotine only 
  THC only 23 29 
  Both 11 
  Unknown 
 Medical history    
  Asthma 
  Psychiatric history, anxiety, depression, ADHD 11 
Symptoms at admission    
 Constitutional, any (P = .47) 10 (90%) 27 (82%) 37 (84%) 
  Fever 20 28 
  Fatigue 12 
  Weight loss 12 15 
  Reported loss, kg (95% CI) 5.1 (4.4–5.8) 14.0 (11.9–16.1) 12.2 (10.2–14.0) 
  Chills 
  Headache 
 Pulmonary, any (P = 1.0) 8 (72%) 24 (72%) 32 (72%) 
  Cough 19 26 
  Shortness of breath 14 19 
  Chest pain or tightness 11 
  Congestion 
  Hemoptysis 
 GI, any (P = .42) 10 (90%) 26 (78%) 36 (81%) 
 Nausea or vomiting 26 35 
  Diarrhea 13 18 
  Abdominal pain 12 

There was a significant difference between age at diagnosis. χ2 testing showed no intergroup differences for discrete variables. ADHD, attention deficit/hyperactivity disorder.

Average length of stay was 6.4 days [CI, 4.0–8.8]. Maximum respiratory support during hospitalization included none (n = 26), nasal cannula (n = 10), oxymask (n = 1), high flow nasal cannula (n = 4), bilevel positive airway pressure (n = 3), and respiratory failure requiring veno–venous extracorporeal membrane oxygenation (n = 1). Eight patients required intensive-level care. All patients were discharged on room air with stable vital signs. There were no readmissions to the hospital system within 7 or 30 days.

Imaging included 39 chest radiographs and 26 computed tomography (CT) scans (Supplemental Fig 1). Chest radiographs findings include 20% that were interpreted as normal, 26% with viral or reactive airway disease, hyperinflation, or isolated pneumomediastinum or pneumothorax, and 54% with lung field haziness or multifocal opacites. On CT scans, lung parenchymal pathology was identified in 100% of imaging events, and generally included bilateral ground glass opacification with subpleural sparing, with dependent areas of the lungs more affected than upper lobes. Pulmonary complications included small pleural effusions (n = 9), pneumomediastinum (n = 5), and pneumothorax (n = 3). Notably, in 10 cases, abdominal imaging (performed before chest imaging) identified pulmonary changes leading to diagnosis.

Significant laboratory results included elevated white blood cell count of 14.3 k/µL (CI, 13.7–15.0)] with neutrophilic predominance, C-reactive protein (CRP) of 25.2 mg/dL (CI, 22.1–28.2), and erythrocyte sedimentation rate (ESR) of 66.7 mm/hour (CI 26.9–76.4) (Table 2).

TABLE 2

Initial Laboratory Values on Admission

ValueReference RangeLaboratory Result (95% CI)n
Complete blood count    
 White blood cell count 5.24–9.74 k/μL 14.3 (13.7–15.0)a 43 
  Neutrophil % 34% to 64% 86.1 (83.2–89.0)a 42 
  Lymphocyte % 24% to 44% 8.9 (6.7–9.7)a 42 
  Monocyte % 0% to 10% 3.4 (2.5–4.3) 40 
  Eosinophil % 1% to 3% 0.8 (0.6–1.0) 36 
 Hemoglobin 13.5–17.5 g/dL 12.4 (12.1–12.8) 42 
  Platelets 150–400 k/μL 347 (329–366) 42 
Inflammatory markers   
 CRP <1.0 mg/dL 25.2 (22.1–28.2)a 37 
 ESR 0–15 mm/h 66.7 (26.9–76.4)a 33 
Coagulation studies     
 PT 10.5–12.6 s 17.7 (16.4–19.1) 21 
 PTT 25.1–36.5 s 32.6 (29.8–35.5) 20 
 INR 0.91–1.09 1.54 (1.43–1.66)a 21 
 Fibrinogen 191–492 mg/dL 862 (774–949)a 14 
 D-dimer 0–500 ng/mL 3938 (0 –10061)a 12 
Hepatic panel    
 Albumin 3.4–5 g/dL 4.0 (3.6–4.4) 19 
 AST 15–37 U/L 35.9 (29.8–41.9) 38 
 ALT 10–40 U/L 29.3 (22.5–36.2) 38 
 Total bilirubin 0–1.0 mg/dL 1.2 (0.9–1.5) (26) 28 
   Conjugated 0–0.3 mg/dL 0.0 (0.0–0.3) (26) 24 
  Unconjugated 0.2–1.0 mg/dL 0.7 (0.5–0.8) (12) 24 
ValueReference RangeLaboratory Result (95% CI)n
Complete blood count    
 White blood cell count 5.24–9.74 k/μL 14.3 (13.7–15.0)a 43 
  Neutrophil % 34% to 64% 86.1 (83.2–89.0)a 42 
  Lymphocyte % 24% to 44% 8.9 (6.7–9.7)a 42 
  Monocyte % 0% to 10% 3.4 (2.5–4.3) 40 
  Eosinophil % 1% to 3% 0.8 (0.6–1.0) 36 
 Hemoglobin 13.5–17.5 g/dL 12.4 (12.1–12.8) 42 
  Platelets 150–400 k/μL 347 (329–366) 42 
Inflammatory markers   
 CRP <1.0 mg/dL 25.2 (22.1–28.2)a 37 
 ESR 0–15 mm/h 66.7 (26.9–76.4)a 33 
Coagulation studies     
 PT 10.5–12.6 s 17.7 (16.4–19.1) 21 
 PTT 25.1–36.5 s 32.6 (29.8–35.5) 20 
 INR 0.91–1.09 1.54 (1.43–1.66)a 21 
 Fibrinogen 191–492 mg/dL 862 (774–949)a 14 
 D-dimer 0–500 ng/mL 3938 (0 –10061)a 12 
Hepatic panel    
 Albumin 3.4–5 g/dL 4.0 (3.6–4.4) 19 
 AST 15–37 U/L 35.9 (29.8–41.9) 38 
 ALT 10–40 U/L 29.3 (22.5–36.2) 38 
 Total bilirubin 0–1.0 mg/dL 1.2 (0.9–1.5) (26) 28 
   Conjugated 0–0.3 mg/dL 0.0 (0.0–0.3) (26) 24 
  Unconjugated 0.2–1.0 mg/dL 0.7 (0.5–0.8) (12) 24 

Number of values included indicated in n column. There were no significant statistical intergroup differences between probable and confirmed EVALI patients (P > .05). ALT, alanine aminotransferase; AST, aspartate aminotransferase; PTT, partial thromboplastin time.

a

Significant labs with 95% CI range outside reference ranges.

Coagulation studies were obtained in 21 patients (18 of 33 patients with confirmed EVALI and 3 of 11 with probable EVALI) (Table 2 and Fig 2). In all 21 patients tested, prothrombin time (PT) and international normalized ratio (INR) were significantly elevated above the reference range. Average PT was 17.7 seconds (CI, 16.4–19.1), and INR was 1.54 (CI, 1.43–1.66). Fibrinogen and d-dimers were also elevated in 14 of 14 and 11 of 12 patients tested respectively. Partial thromboplastin time, platelets, and hepatic function testing were within normal limits. No patients met the criteria for overt disseminated intravascular coagulopathy.23 

FIGURE 2

Abnormal coagulation studies. PT and INR were significantly elevated, whereas partial thromboplastin time was within reference range, suggesting abnormal function in the extrinsic coagulation pathway.

FIGURE 2

Abnormal coagulation studies. PT and INR were significantly elevated, whereas partial thromboplastin time was within reference range, suggesting abnormal function in the extrinsic coagulation pathway.

Close modal

Three bronchoscopies were delayed because of coagulopathy requiring correction, with 2 advancing to procedure. Two additional bronchoscopies were performed where coagulopathy had either previously been corrected or not checked. Three of 4 BAL samples showed evidence of red blood cells or blood-tinged aspirate. All aspirates showed the presence of lipid-laden macrophages.

PFTs were performed on 14 patients during hospitalization and on 13 patients after hospitalization (within 6 weeks) (Fig 3). Average time to after hospitalization testing was 13.3 days. There was significant improvement in mean percentage predicted forced expiratory volume in 1 second (P < .01) and forced vital capacity (P < .01) between these 2 time points. Significance was maintained in 7 individual patients with paired hospitalization and follow-up testing. Airway obstruction (forced expiratory volume in 1 second/forced vital capacity <85% of predicted value) was seen in 3 out of 14 patients (21%) tested during admission, but in no patients after hospitalization.24 

FIGURE 3

PFT. Significant improvement seen in average forced expiratory volume in 1 second and forced vital capacity. DLCO/VA was both abnormally decreased (<80%) and increased (>100%) during hospitalization. Average DLCO/VA (76.6% predicted, CI, 69.5%–83.7%) tested within 6 weeks of discharge remains decreased but does not achieve significance.

FIGURE 3

PFT. Significant improvement seen in average forced expiratory volume in 1 second and forced vital capacity. DLCO/VA was both abnormally decreased (<80%) and increased (>100%) during hospitalization. Average DLCO/VA (76.6% predicted, CI, 69.5%–83.7%) tested within 6 weeks of discharge remains decreased but does not achieve significance.

Close modal

Diffusing capacity of the lung for carbon monoxide divided by alveolar volume (DLCO/VA) was collected on 16 patients (predischarge: n = 11; postdischarge: n = 5). In aggregate, 9 of these 16 patients (56%) had abnormal DLCO/VA of either <80% predicted, suggesting evidence of pulmonary vascular disease (predischarge: n = 4 of 11; postdischarge: n = 3 of 5), or >100%, suggesting pulmonary hemorrhage (predischarge: n = 2 of 11).24  There were no paired DLCO/VA samples to examine individual improvement.

Corticosteroids, including methylprednisolone, dexamethasone, and prednisone, were administered to 38 of 44 (86%) patients; the regimen was not standardized, with variable weaning periods. In patients with abnormal coagulation studies, corticosteroids were administered to 21 of 21 patients, and vitamin K was administered to 11 of 21 patients (parenteral: n = 10; oral: n = 1). Coagulation studies improved with either steroids and vitamin K, but lack of standardization and follow-up laboratories limited interpretation of effect size (Supplemental Fig 2).

The presumed diagnosis for several patients in this cohort was initially cannabinoid hyperemesis syndrome (CHS). In our exclusion group, 18 patients were ultimately diagnosed with CHS. Ten of these patients had inflammatory markers. It was noted that inflammatory marker values were significantly different compared with the patients diagnosed with EVALI: CRP 25.2 vs 0.9 mg/dL (P < .01) and ESR 66.7 vs 7 mm/hour (P < .01).

Although the CDC has not reported new case numbers since 2020, EVALI continues to be a significant diagnosis in the adolescent population. In this study, 55% of the cohort was admitted after April 2020. The 2 children’s hospitals involved in this study are in northeast and southeast of the United States, which suggests that this diagnosis continues to be widespread and an important differential diagnosis.

Past studies, primarily those including adults, report that 92% to 98%, 81% to 90%, and 70% to 100% of patients with EVALI presented with respiratory, GI, and constitutional symptoms, respectively.9,2528  In 2 smaller case series of adolescents with EVALI, respiratory symptoms at presentation were observed in 75% to 85% of patients.2728  Our findings are consistent with fewer respiratory symptoms at presentation but possible development of hypoxia during hospitalization. We hypothesize this delay in presentation in adolescents when compared with adults may be because of better baseline lung function and reserve with shorter histories of inhalation exposure and chronic lung injury.

EVALI remains a diagnosis of exclusion and the differential can be broad. There is significant overlap in the presentation of EVALI, SARS-CoV2 pneumonia, and multisystem inflammatory syndrome in children. The constellation of fever, significant weight loss, and GI or pulmonary symptoms with elevated inflammatory markers should prompt clinicians to obtain unambiguous history regarding vaping. Despite denial of e-cigarette use, in hospitalized patients where there is a high index of suspicion of EVALI, we suggest a drug screen for THC. Although lymphopenia is seen in patients with COVID-19, patients with EVALI seem to present with mild leukocytosis with neutrophilic predominance.29  The mainstay of treatment of EVALI is early administration of steroids. However, in the context of COVID-19, steroids may be delayed until patients are hypoxic, which is potentially detrimental to EVALI patients.30  COVID-19 has been identified to trigger vasculopathy and hypercoagulation. Treatment of COVID-19 may involve early anticoagulation therapy.31  Anticoagulation should be approached with caution in a patient with vaping history.

This study demonstrates that coagulopathy is likely a more common finding in EVALI than previously realized. Although coagulation studies were not obtained in all patients (which is a significant study limitation), this is the largest report to date. Other limitations include the lack of direct correlation with bronchoscopy results, lack of further investigation of alternate causes of coagulopathy, and lack of complete follow-up to confirm resolution of coagulopathy. However, it is notable that all 21 patients with coagulation studies showed significant elevation in PT and INR. None of the patients in this cohort met criteria for overt disseminated intravascular coagulopathy, maintaining normal platelet counts and elevated rather than lowered fibrinogen. There was also no evidence of hepatic or renal disease as alternative causes of acquired coagulopathy. Significant isolated abnormality in PT and INR suggests disruption of the extrinsic coagulation pathway, which was improved with the administration of vitamin K or steroids. If diagnosis remains unclear, it is reasonable to administer vitamin K while the patient undergoes further workup. The exact causation for this coagulopathy remains unknown, but this finding should be further studied.

No specific agent has been identified as the causative factor in EVALI. The heterogeneity of e-liquids, which may be both legally or illegally manufactured and distributed, continues to make this investigation difficult. The majority of EVALI cases stem from e-cigarette use with THC-containing e-liquids.7  Studies of e-liquids have identified pesticides, thickeners, diluents, acetone, formaldehyde, nitrosonornicotine, nitrosamines, volatile organic compounds, heavy metals, and ultrafine particles.3234  Vaping likely alters the primary mechanisms for lung homeostasis with effects on surfactants, microciliary clearance, and phagocytosis of inhaled particles. Although a direct cytotoxic effect of inhaled chemicals on the pulmonary epithelium leading to cellular necrosis and neutrophil inflammation33  may certainly contribute to the pathogenesis of EVALI, the systemic inflammatory response to inhaled aerosolized compounds may play a greater role suggested by multisystemic involvement and markedly elevated CRP. Currently, the pathogenesis of this significant systemic inflammatory response is unknown but should be further investigated.

A review of the present literature identified several proposed mechanisms of inflammation and coagulopathy because of vaping substances. Muthumalage et al showed that exposure to aerosolized vaping compounds (vitamin E acetate and medium-chain fatty acids) induced a significant increase in interleukin (IL)-6, eotaxin, and granulocyte colony-stimulating factor in BAL samples and eicosanoid inflammatory mediators in mouse and human serum.35  Other studies before the EVALI outbreak have demonstrated elevation in IL-4, IL-6, IL-8, and IL-10, which are all proinflammatory cytokines and play roles in immune suppression.3538  Khanijo et al hypothesized imbalance in the inflammation-coagulation axis in acute lung injury may lead to impaired factor VII-mediated alveolar fibrin turnover by macrophages.3940  Additionally, increased vitamin E from oral supplementation, also a concerning substance in e-liquids, is known to act as an antagonist to vitamin K, leading to a disruption of the clotting cascade.41  Ramirez et al showed that 2-week exposure in mice to JUUL can cause a 10-fold decrease in median bleeding occlusion and hemostasis time, along with increased platelet activation.42  Despite studies of vaping increasing short-term platelet activation,4344  there has only been 1 case report of arteriovenous thrombosis during acute hospitalization for EVALI.45 

There are, however, multiple reports of alveolar hemorrhage and hemoptysis associated with EVALI.1321  Although this study included limited bronchoscopies, we demonstrate the presence of red blood cells and blood-tinged secretions, even after correction of coagulopathy. The PFT findings in our cohort were consistent with the few reports in the literature with variable spirometry findings of minimal airway obstruction and significantly reduced DLCO/VA values.4649  Widespread damage to the pulmonary small vessels leading to blood collecting in the alveoli is exacerbated by abnormal coagulation, which may lead to diffuse alveolar hemorrhage. If enough alveoli are affected, gas exchange (ie, DLCO/VA) is decreased (<80%).50  Low DLCO/VA values without significant obstruction are observed in interstitial lung disease and vasculitis.24  The elevated PT may cause mild pulmonary bleeding but then significant interstitial inflammation, which decreases DLCO/VA. If enough bleeding occurs, DLCO/VA (>100%) is elevated because of the uptake of carbon monoxide by hemoglobin. Correction of coagulopathy in patients with increased DLCO/VA may help to decrease pulmonary hemorrhage. Interestingly, although our sample size is limited, we found continued decreased DLCO/VA despite improvement in other PFTs within 6-week follow-up, suggesting persistent pulmonary vascular disease, although this did not reach significance. To date, no previous study has described this finding. We suggest further investigation in association of coagulopathy and abnormal DLCO/VA measurements.

In this study, a fourth of the patients had sufficiently severe enough GI symptoms to require abdominal imaging leading to the identification of lung findings. Approximately 46% of initial chest radiographs were interpreted as no pathology or minimal findings that could lead to a misdiagnosis. CT chest imaging showed 100% sensitivity in the detection of small distal airway pathology with universal findings of bilateral ground glass opacities, subpleural sparing, and lobar consolidation.5153  This emphasizes the importance of obtaining a CT scan when there is a high suspicion of EVALI. CT in EVALI may show subpleural sparing distinct from COVID-19.54 

Several patients were initially thought to have CHS before developing respiratory symptoms. One marked difference between EVALI and CHS is the level of inflammation; CRP and ESR are significantly elevated in EVALI but are normal in CHS. This suggests that inflammatory markers may be used for early differentiation between these 2 diseases and emphasizes the role of inflammation in EVALI.

Twenty-three percent of adolescents in our population had preexisting depression or anxiety consistent with other studies on adolescent EVALI patients.55  This is compared with the 8.4% of the general population of children aged 6 to 17 years having “ever been diagnosed with either anxiety or depression” in 2012.56  Discharge planning should include providing resources on cessation (psychological and pharmaceutical), as well as appropriate referrals to adolescent medicine, addiction, or psychological services.

EVALI continues to be a relevant differential diagnosis. Naming this disease “E-cigarette/vaping-associated lung injury” misses the bigger picture of systemic inflammation and multisystem involvement. In this study, adolescents were more likely to be admitted with GI and constitutional symptoms than with pulmonary problems. To date, EVALI-associated coagulopathy is not reported in the literature nor mentioned in the CDC diagnosis algorithm.7  The novel finding of coagulopathy among adolescents with EVALI in this cohort reveals an opportunity to detect comorbid-clotting deficiencies and initiate therapy early to possibly avoid development of alveolar hemorrhage and further lung damage. We strongly recommend that coagulation studies be performed routinely, and certainly before an invasive procedure such as bronchoscopy, to avoid preventable complications.

We thank Kathleen Rooney-Otero, MD, Ramamoorthy Nagasubramanian, MD, and Eileen Antico for their contributions to this study.

FUNDING: No external funding.

Dr Kopsombut served as principal investigator and author, conceptualized and designed the study, drafted the initial manuscript, reviewed and revised the manuscript, and conducted chart review and data analysis; Drs Ajjegowda and Brogan served as co-investigators, drafted the initial manuscript, reviewed and revised the manuscript, and conducted chart review; Dr Epelman conducted radiology data collection and made contributions to the discussion of radiological findings; Dr Livingston conducted pulmonology data analysis and served as discussion author; Mr Brown conducted pulmonology data collection and analysis; Dr Werk critically reviewed the manuscript for important intellectual content; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

1
U.S. Food & Drug Administration
.
Vaporizers, e-cigarettes, and other electronic nicotine delivery systems (ENDS)
.
2
Schier
JG
,
Meiman
JG
,
Layden
J
et al
.
Centers for Disease Control and Prevention
.
Severe pulmonary disease associated with electronic-cigarette–product use – interim guidance
.
MMWR Morb Mortal Wkly Rep
.
2019
;
68
(
36
):
787
790
.
[Published online as an early release September 6, 2019]
3
Fadus
MC
,
Smith
TT
,
Squeglia
LM
.
The rise of e-cigarettes, pod mod devices, and JUUL among youth: Factors influencing use, health implications, and downstream effects
.
Drug Alcohol Depend
.
2019
;
201
:
85
93
4
Goniewicz
ML
,
Boykan
R
,
Messina
CR
,
Eliscu
A
,
Tolentino
J
.
High exposure to nicotine among adolescents who use Juul and other vape pod systems (‘pods’)
.
Tob Control
.
2019
;
28
(
6
):
676
677
5
Morean
ME
,
Bold
KW
,
Kong
G
et al
.
Adolescents’ awareness of the nicotine strength and e-cigarette status of JUUL e-cigarettes
.
Drug Alcohol Depend
.
2019
;
204
:
107512
6
Johnston
LD
,
O’Malley
PM
,
Miech
RA
,
Bachman
JG
,
Schulenberg
JE Z
.
National Institute on Drug Abuse (DHHS/PHS)
.
Monitoring the future national survey results on drug use, 1975-2016: overview, key findings on adolescent drug use
.
Available at: https://eric.ed.gov/?id=ED578534. Accessed January 5, 2022
7
Centers for Disease Control and Prevention for Healthcare Providers
.
8
Siegel
DA
,
Jatlaoui
TC
,
Koumans
EH
et al
.
Lung Injury Response Clinical Working Group
;
Lung Injury Response Epidemiology/Surveillance Group
.
Update: interim guidance for health care providers evaluating and caring for patients with suspected e-cigarette, or vaping, product use associated lung injury - United States, October 2019
.
MMWR Morb Mortal Wkly Rep
.
2019
;
68
(
41
):
919
927
9
Matta
P
,
Hamati
JN
,
Unno
HL
,
Fox
MD
.
E-cigarette or vaping product use–associated lung injury (EVALI) without respiratory symptoms
.
Pediatrics
.
2020
;
145
(
5
):
e20193408
10
Rao
DR
,
Maple
KL
,
Dettori
A
et al
.
Clinical features of e-cigarette, or vaping, product use-associated lung injury in teenagers
.
Pediatrics
.
2020
;
146
(
1
):
e20194104
11
Panse
PM
,
Feller
FF
,
Butt
YM
et al
.
Radiologic and pathologic correlation in EVALI
.
AJR Am J Roentgenol
.
2020
;
215
(
5
):
1057
1064
12
Henry
TS
,
Kligerman
SJ
,
Raptis
CA
,
Mann
H
,
Sechrist
JW
,
Kanne
JP
.
Imaging findings of vaping-associated lung injury
.
AJR Am J Roentgenol
.
2020
;
214
(
3
):
498
505
13
Agustin
M
,
Yamamoto
M
,
Cabrera
F
,
Eusebio
R
.
Diffuse alveolar hemorrhage induced by vaping
.
Case Rep Pulmonol
.
2018
;
2018
:
9724530
14
Edmonds
PJ
,
Copeland
C
,
Conger
A
,
Richmond
BW
.
Vaping-induced diffuse alveolar hemorrhage
.
Respir Med Case Rep
.
2020
;
29
:
100996
15
Wilhite
R
,
Patel
T
,
Karle
E
,
Shankar
S
,
Krvavac
A
.
Diffuse alveolar hemorrhage: an uncommon manifestation of vaping-associated lung injury
.
Cureus
.
2019
;
11
(
12
):
e6519
16
Dicpinigaitis
PV
,
Trachuk
P
,
Fakier
F
,
Teka
M
,
Suhrland
MJ
.
Vaping-associated acute respiratory failure due to acute lipoid pneumonia
.
Lung
.
2020
;
198
(
1
):
31
33
17
Villeneuve
T
,
Prevot
G
,
Le Borgne
A
et al
.
Diffuse alveolar haemorrhage secondary to e-cigarette “vaping” associated lung injury (EVALI) in a young European consumer
.
Eur Respir J
.
2020
;
56
(
1
):
2000143
18
Singh
A
,
Tan
Q
,
Saccone
NM
,
Lindner
DH
.
A case of vaping TCH oil leading to vaping associated pulmonary injury: our approach to its diagnosis, management, and recommendations
.
Case Rep Pulmonol
.
2020
;
2020
:
6138083
19
Harrington
L
,
Chichra
A
.
Vaping-induced pulmonary hemorrhage
.
Am J Respir Crit Care Med
.
2020
;
201
:
A1845
20
Shehata
M
,
Kocher
T
.
Vaping-associated diffuse alveolar hemorrhage - a case report
.
Respir Med Case Rep
.
2020
;
30
:
101038
21
Jones
AM
,
Raj
MD
.
Vaping related acute parenchymal injury, a systematic review
.
Chest
.
2020
;
58
(
4
):
11555
11565
22
Schier
JG
,
Meiman
JG
,
Layden
J
et al
.
CDC 2019 Lung Injury Response Group
.
Severe pulmonary disease associated with electronic-cigarette–product use – interim guidance
.
MMWR Morb Mortal Wkly Rep
.
2019
;
68
(
36
):
787
790
23
Levi
M
,
Toh
CH
,
Thachil
J
,
Watson
HG
;
British Committee for Standards in Haematology
.
Guidelines for the diagnosis and management of disseminated intravascular coagulation
.
Br J Haematol
.
2009
;
145
(
1
):
24
33
24
Johnson
JD
,
Theurer
WM
.
A stepwise approach to the interpretation of pulmonary function tests
.
Am Fam Physician
.
2014
;
89
(
5
):
359
366
25
Layden
JE
,
Ghinai
I
,
Pray
I
et al
.
Pulmonary illness related to e-cigarette use in Illinois and Wisconsin - final report
.
N Engl J Med
.
2020
;
382
(
10
):
903
916
26
Blagev
DP
,
Harris
D
,
Dunn
AC
,
Guidry
DW
,
Grissom
CK
,
Lanspa
MJ
.
Clinical presentation, treatment, and short-term outcomes of lung injury associated with e-cigarettes or vaping: a prospective observational cohort study
.
Lancet
.
2019
;
394
(
10214
):
2073
2083
27
Kalininskiy
A
,
Bach
CT
,
Nacca
NE
et al
.
E-cigarette, or vaping, product use associated lung injury (EVALI): case series and diagnostic approach
.
Lancet Respir Med
.
2019
;
7
(
12
):
1017
1026
28
Reddy
A
,
Jenssen
B
,
Chidambraham
A
,
Yehya
N
,
Lindell
R
.
Characterizing e-cigarette vaping-associated lung injury in the pediatric intensive care unit
.
Pediatr Pulmonol
.
2020
;
56
(
1
):
162
170
29
Callahan
SJ
,
Harris
D
,
Collingridge
DS
et al
.
Diagnosing EVALI in the Time of COVID-19
.
Chest
.
2020
;
158
(
5
):
2034
2037
30
Centers for Disease Control
.
COVID-19 treatment guidelines
.
31
Goldenberg
NA
,
Sochet
A
,
Albisetti
M
et al
.
Pediatric/Neonatal Hemostasis and Thrombosis Subcommittee of the ISTH SSC
.
Consensus-based clinical recommendations and research priorities for anticoagulant thromboprophylaxis in children hospitalized for COVID-19-related illness
.
J Thromb Haemost
.
2020
;
18
(
11
):
3099
3105
32
Manigrasso
M
,
Buonanno
G
,
Fuoco
FC
,
Stabile
L
,
Avino
P
.
Aerosol deposition doses in the human respiratory tree of electronic cigarette smokers
.
Environ Pollut
.
2015
;
196
:
257
267
33
Gaur
S
,
Agnihotri
R
.
Health effects of trace metals in electronic cigarette aerosols: a systematic review
.
Biol Trace Elem Res
.
2019
;
188
(
2
):
295
315
34
Wu
D
,
O’Shea
DF
.
Potential for release of pulmonary toxic ketene from vaping pyrolysis of vitamin E acetate
.
Proc Natl Acad Sci USA
.
2020
;
117
(
12
):
6349
6355
35
Muthumalage
T
,
Lucas
JH
,
Wang
Q
,
Lamb
T
,
McGraw
MD
,
Rahman
I
.
Pulmonary toxicity and inflammatory response of e-cigarette vape cartridges containing medium-chain triglycerides oil and vitamin E acetate: implications in the pathogenesis of EVALI
.
Toxics
.
2020
;
8
(
3
):
46
36
Lerner
CA
,
Sundar
IK
,
Yao
H
et al
.
Vapors produced by electronic cigarettes and e-juices with flavorings induce toxicity, oxidative stress, and inflammatory response in lung epithelial cells and in mouse lung
.
PLoS One
.
2015
;
10
(
2
):
e0116732
37
Shields
PG
,
Song
MA
,
Freudenheim
JL
et al
.
Lipid laden macrophages and electronic cigarettes in healthy adults
.
EBioMedicine
.
2020
;
60
:
102982
38
Song
MA
,
Freudenheim
JL
,
Brasky
TM
et al
.
Biomarkers of exposure and effect in the lungs of smokers, nonsmokers, and electronic cigarette users
.
Cancer Epidemiol Biomarkers Prev
.
2020
;
29
(
2
):
443
451
39
Khanijo
S
,
Lou
BX
,
Makaryus
M
,
Weber
A
,
Fryman
C
,
Iakovou
A
.
Coagulopathy and inflammatory dysregulation with e-cigarette use
.
Am J Med
.
2020
;
133
(
5
):
530
531
40
Levi
M
,
Schultz
M
.
The inflammation-coagulation axis as an important intermediate pathway in acute lung injury
.
Crit Care
.
2008
;
12
(
2
):
144
41
Booth
SL
,
Golly
I
,
Sacheck
JM
et al
.
Effect of vitamin E supplementation on vitamin K status in adults with normal coagulation status
.
Am J Clin Nutr
.
2004
;
80
(
1
):
143
148
42
Ramirez
JEM
,
Karim
ZA
,
Alarabi
AB
et al
.
The JUUL E-Cigarette Elevates the Risk of Thrombosis and Potentiates Platelet Activation
.
J Cardiovasc Pharmacol Ther
.
2020
;
25
(
6
):
578
586
43
Nocella
C
,
Biondi-Zoccai
G
,
Sciarretta
S
et al
.
Impact of tobacco versus electronic cigarette smoking on platelet function
.
Am J Cardiol
.
2018
;
122
(
9
):
1477
1481
44
Qasim
H
,
Karim
ZA
,
Silva-Espinoza
JC
et al
.
Short-term e-cigarette exposure increases the risk of thrombogenesis and enhances platelet function in mice
.
J Am Heart Assoc
.
2018
;
7
(
15
):
e009264
45
Harada
H
,
Liu
J
,
Shortell
J
et al
.
A 20-year-old man with e-cigarette or vaping product use-associated lung injury (EVALI) and thrombotic coagulopathy
.
Am J Case Rep
.
2021
;
22
:
e929915-1
e929915-7
46
Anderson
B
,
Harris
D
,
Rea
S
et al
.
Short-term pulmonary function test characteristics in patients diagnosed with e-cigarette or vaping associated lung injury
.
Chest
.
2020
;
158
(
4
):
A2377
47
Tsirilakis
K
,
Sather
E
.
Pulmonary function testing in vaping associated lung injury
.
Am J Respir Crit Care Med
.
2020
;
201
:
A7684
48
Ahmad
M
,
Aftab
G
,
Rehman
S
,
Frenia
D
.
Long-term impact of e-cigarette and vaping product use-associated lung injury on diffusing capacity for carbon monoxide values: case series
.
Cureus
.
2020
;
12
(
2
):
e7002
49
Carroll
BJ
,
Kim
M
,
Hemyari
A
et al
.
Impaired lung function following e-cigarette or vaping product use associated lung injury in the first cohort of hospitalized adolescents
.
Pediatr Pulmonol
.
2020
;
55
(
7
):
1712
1718
51
Artunduaga
M
,
Rao
D
,
Friedman
J
et al
.
Pediatric chest radiographic and CT findings of electronic cigarette or vaping product use-associated lung injury (EVALI)
.
Radiology
.
2020
;
295
(
2
):
430
438
52
Foust
AM
,
Winant
AJ
,
Chu
WC
,
Das
KM
,
Phillips
GS
,
Lee
EY
.
Pediatric SARS, H1N1, MERS, EVALI, and Now Coronavirus Disease (COVID-19) pneumonia: what radiologists need to know
.
AJR Am J Roentgenol
.
2020
;
215
(
3
):
736
744
53
Butt
YM
,
Smith
ML
,
Tazelaar
HD
et al
.
Pathology of vaping-associated lung injury
.
N Engl J Med
.
2019
;
381
(
18
):
1780
1781
54
Ansari-Gilani
K
,
Petraszko
AM
,
Gilkeson
RC
.
COVID-19 pneumonia versus EVALI, distinguishing the overlapping CT features in the COVID-19 era
.
Heart Lung
.
2020
;
49
(
6
):
885
886
55
Adkins
SH
,
Anderson
KN
,
Goodman
AB
et al
.
Lung Injury Clinical Task Force and the Lung Injury Epidemiology/Surveillance Task Force
.
Demographics, substance use behaviors, and clinical characteristics of adolescents with e-cigarette, or vaping, product use-associated lung injury (EVALI) in the United States in 2019
.
JAMA Pediatr
.
2020
;
174
(
7
):
e200756
56
Centers for Disease Control and Prevention
.
Anxiety and depression in children: get the facts
.

Competing Interests

CONFLICT OF INTEREST DISCLOSURE: The authors have indicated they have no potential conflicts of interest to disclose. Authors have not published, posted, or submitted any related papers from the same study.

Supplementary data