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Current guidelines do not recommend subsequent mRNA COVID-19 vaccination in patients who experience immediate allergic reactions to the first dose. Our findings indicate that graded dosing of this vaccine is safe, efficacious, and useful for treating these individuals with allergy.
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OBJECTIVE: Patients with coronavirus disease 2019 (COVID-19) can progress to a state of unregulated inflammation called cytokine storm syndrome (CSS). We describe formation and operation of a COVID-19 multidisciplinary consultation service that was allowed to individualize treatment for critically ill patients with COVID-19 during the pandemic. METHODS: Institutional experts from different subspecialties formed a COVID-19 CSS task force at Montefiore Medical Center, Bronx, NY. They agreed on a set of four clinical and six laboratory parameters that can help early identify COVID-19 CSS. We describe the formation and implementation of the COVID-19 task force. The case series description of the COVID-19 CSS consultation cohort highlights consultation volume, baseline characteristics, clinical and laboratory parameters, and how biologic treatments were allocated to these patients. RESULTS: Between April 4,2020, and May 7,2020, the COVID-19 CSS task force was formed, consisting of adult and pediatric rheumatologists and allergy and immunology physicians. The task force evaluated a total of 288 patients, of whom 197 (68%) were male, the median (interquartile range [IQR]) age was 62 (51-70) years, 122 (42%) were Hispanic, and 88 (31%) were Black or African American. The common presenting symptoms in all referred patients were dyspnea (85%) and diarrhea (80%). Thirty-one patients who received biologic therapy were younger, with a median (IQR) age of 53 (32-63) years, as opposed to 62.5 (52-70) years in the nonbiologic group (P = 0.008). A higher proportion receiving biologics was in the critical care setting (26 [84%] vs 151 [59%]; P = 0.006). CONCLUSION: To the best of our knowledge, this is the first multidisciplinary collaborative effort to provide individualized patient recommendations for evaluation and treatment of patients with COVID-19 who may have CSS. This working model helped to devise an approach that may have identified patients who were most likely to benefit from biologic therapy in the absence of evidence-based guidelines.
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BACKGROUND: There is a paucity of information on coronavirus disease 2019 (COVID-19) outcomes in asthmatics. OBJECTIVE: To identify risk factors associated with admission and subsequent mortality among COVID-19-infected asthmatics. METHODS: Adults at our institution with a positive polymerase chain reaction for COVID-19 between March 14 and April 27, 2020, were retrospectively identified. Comorbidities, laboratory results, and mortality rates during hospitalization were recorded. RESULTS: In total, 737 of 951 (77.5%) asthma patients with COVID-19 were seen in the emergency department (ED), and 78.8% of these ED patients (581 of 737) were admitted. Individuals with previously measured mean absolute eosinophil counts (AEC) ≥150 cells/µL were less likely to be admitted (odds ratio [OR] = 0.46, 95% confidence interval [CI]: 0.21-0.98, P = .04), whereas concomitant heart failure (CHF), chronic kidney disease (CKD), and chronic obstructive pulmonary disease (COPD) were risk factors for admission. Hospitalized patients with asthma with peak hospital-measured AEC ≥150 cells/µL (n = 104) were less likely to die compared with those whose AEC remained <150 cells/µL (n = 213) (mortality rate 9.6% vs 25.8%; OR = 0.006, 95% CI: 0.0001-0.64, P = .03). This group had also higher preadmission mean AEC (237 ± 181 vs 163 ± 147 cells/µL, P = .001, OR = 2012, 95% CI: 27.3-14,816). The mortality rate in patients with asthma alone (no associated CHF, CKD, COPD, diabetes, or hypertension) was similar to that of patients without asthma or any of these comorbidities. CONCLUSIONS: In asthmatics, pre-existing eosinophilia (AEC ≥150 cells/µL) was protective from COVID-19-associated admission, and development of eosinophilia (AEC ≥150 cells/µL) during hospitalization was associated with decreased mortality. Preadmission AEC influenced the AEC trend during hospitalization. Having a Th2-asthma phenotype might be an important predictor for reduced COVID-19 morbidity and mortality that should be further explored in prospective and mechanistic studies.