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1.
Ear Nose Throat J ; : 1455613221123737, 2022 Aug 25.
Article in English | MEDLINE | ID: covidwho-2009266

ABSTRACT

OBJECTIVE: To determine whether initiating saline nasal irrigation after COVID-19 diagnosis reduces hospitalization and death in high-risk outpatients compared with observational controls, and if irrigant composition impacts severity. METHODS: Participants 55 and older were enrolled within 24 hours of a + PCR COVID-19 test between September 24 and December 21, 2020. Among 826 screened, 79 participants were enrolled and randomly assigned to add 2.5 mL povidone-iodine 10% or 2.5 mL sodium bicarbonate to 240 mL of isotonic nasal irrigation twice daily for 14 days. The primary outcome was hospitalization or death from COVID-19 within 28 days of enrollment by daily self-report confirmed with phone calls and hospital records, compared to the CDC Surveillance Dataset covering the same time. Secondary outcomes compared symptom resolution by irrigant additive. RESULTS: Seventy-nine high-risk participants were enrolled (mean [SD] age, 64 [8] years; 36 [46%] women; 71% Non-Hispanic White), with mean BMI 30.3. Analyzed by intention-to-treat, by day 28, COVID-19 symptoms resulted in one ED visit and no hospitalizations in 42 irrigating with alkalinization, one hospitalization of 37 in the povidone-iodine group, (1.27%) and no deaths. Of nearly three million CDC cases, 9.47% were known to be hospitalized, with an additional 1.5% mortality in those without hospitalization data. Age, sex, and percentage with pre-existing conditions did not significantly differ by exact binomial test from the CDC dataset, while reported race and hospitalization rate did. The total risk of hospitalization or death (11%) was 8.57 times that of enrolled nasal irrigation participants (SE = 2.74; P = .006). Sixty-two participants completed daily surveys (78%), averaging 1.8 irrigations/day. Eleven reported irrigation-related complaints and four discontinued use. Symptom resolution was more likely for those reporting twice daily irrigation (X2 = 8.728, P = .0031) regardless of additive. CONCLUSION: SARS-CoV-2+ participants initiating nasal irrigation were over 8 times less likely to be hospitalized than the national rate.

2.
Pediatr Emerg Care ; 38(9): 448-452, 2022 Sep 01.
Article in English | MEDLINE | ID: covidwho-1891202

ABSTRACT

OBJECTIVES: This study aimed to improve the accuracy of Broselow tape (BT) weight prediction by adding midthigh circumference (MTC) and to compare and standardize the methods for measuring MTC. METHODS: This prospective, observational study was conducted in a pediatric emergency department of a tertiary care children's hospital. Children up to 12 years of age presenting to emergency department were included. Children were excluded if obtaining the data would interfere with their acute management. The data collected included MTC, height, BT weight, and actual weight. Three models were built. Broselow tape-only model and MTC plus BT model used 2 methods for MTC measurements: visual approximation of thigh midpoint (visual MTC1) and Centers for Disease Control and Prevention (CDC)-defined method (CDC MTC2). RESULTS: A total of 430 children were enrolled during pre-coronavirus disease era. Of these, 234 were boys (54.4%) and 196 (45.6%) were girls. Data were categorized into children younger than 2 years (224 [52.1%]) and older than 2 years (206 [47.9%]). African American constituted 250 (58%); White, 136 (31%); and unspecified, 27 (6%). For the entire cohort, both models that included MTC were significantly better at weight prediction with larger adjusted R2 (visual MTC1, 0.921; CDC MTC2, 0.928) and smaller root mean squared (RMSE) (visual MTC1, 2.70; CDC MTC2, 2.56) compared with BT-only model (adjusted R2 = 0.843; RMSE, 3.80). Midthigh circumference plus BT models performed even better in children older than 2 years compared with BT-only model with adjusted R2 (visual MTC1, 0.859; CDC MTC2, 0.872 vs 0.616) and RMSE (visual MTC1, 3.18; CDC MTC2, 3.03 vs 5.27). CONCLUSIONS: The inclusion of MTC with BT resulted in a more accurate weight prediction in children especially greater than 2 years old. Midthigh circumference model using CDC-defined method was slightly better predictor of actual weight than visual approximation.


Subject(s)
Body Height , Anthropometry/methods , Body Weight , Child , Child, Preschool , Cohort Studies , Female , Humans , Infant , Male , Prospective Studies
3.
J Clin Sleep Med ; 17(4): 749-755, 2021 Apr 01.
Article in English | MEDLINE | ID: covidwho-940312

ABSTRACT

STUDY OBJECTIVES: This study investigated risk factors and estimated rates of acute insomnia disorder in health care workers at the onset of the coronavirus disease 2019 (COVID-19) pandemic. METHODS: A Qualtrics survey of more than 2,300 health care providers was conducted in a single academic health system on May 15, 2020, including practicing attending physicians, residents and fellows in training, advanced practice providers, and nurses. Six hundred and sixty-eight responded (29% response rate). The survey employed the Research Diagnostic Criteria for insomnia disorder to diagnose acute insomnia disorder. RESULTS: Five hundred seventy-three respondents had no missing data pertaining to sleep, with a mean age of 43.4 ± 12.5 years and 72% women. The rate of insomnia disorder before COVID-19 was 44.5%, while after COVID-19 it was 64.0%. Of persons with insomnia disorder before COVID-19 10.2% stated it had resolved during COVID-19, while 43.4% of persons who did not have insomnia disorder before COVID-19 developed acute insomnia disorder during COVID-19 (χ² = 145.2; df = 1; P < .0001). New cases of acute insomnia disorder were related positively to female sex, advancing age, and less time spent in direct patient care. CONCLUSIONS: Acute insomnia disorder was exceptionally common in this sample of tertiary care health care workers. The effects of sex and age were similar to what has been generally described as risk factors for insomnia. The surprising finding that less time spent in direct patient care was associated with more cases of acute insomnia disorder might be explained by the poorly understood stresses of working from home during COVID-19.


Subject(s)
COVID-19 , Health Personnel/statistics & numerical data , Sleep Initiation and Maintenance Disorders , Academic Medical Centers , Adult , Female , Humans , Male , Middle Aged , Sleep Initiation and Maintenance Disorders/epidemiology
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