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1.
J Pediatr ; 261: 113551, 2023 10.
Article in English | MEDLINE | ID: mdl-37315778

ABSTRACT

OBJECTIVE: To describe demographics, pathogen distribution/seasonality, and risk factors in children seeking care for acute gastroenteritis (AGE) at a midwestern US emergency department during 5 postrotavirus vaccine years (2011-2016), and further, to compare the same data with matched healthy controls (HC). STUDY DESIGN: AGE and HC participants <11 years old enrolled in the New Vaccine Surveillance Network study between December 2011 to June 2016 were included. AGE was defined as ≥3 diarrhea episodes or ≥1 vomiting episode. Each HC's age was similar to an AGE participant's age. Pathogens were analyzed for seasonality effects. Participant risk factors for AGE illness and pathogen detections were compared between HC and a matched subset of AGE cases. RESULTS: One or more organisms was detected in 1159 of 2503 children (46.3%) with AGE compared with 99 of 537 HC (17.3%). Norovirus was detected most frequently among AGE (n = 568 [22.7%]) and second-most frequently in HC (n = 39 [6.8%]). Rotavirus was the second most frequently detected pathogen among AGE (n = 196 [7.8%]). Children with AGE were significantly more likely to have reported a sick contact compared with HC, both outside the home (15.6% vs 1.4%; P < .001) and inside the home (18.6% vs 2.1%; P < .001). Daycare attendance was higher among children with AGE (41.4%) compared with HC (29.5%; P < .001). The Clostridium difficile detection rate was slightly higher among HC (7.0%) than AGE (5.3%). CONCLUSIONS: Norovirus was the most prevalent pathogen among children with AGE. Norovirus was detected in some HC, suggesting potential asymptomatic shedding among HC. The proportion of AGE participants with a sick contact was approximately 10 times greater than that of HC.


Subject(s)
Gastroenteritis , Norovirus , Rotavirus Infections , Rotavirus Vaccines , Rotavirus , Humans , Child , Infant , Rotavirus Infections/diagnosis , Rotavirus Infections/epidemiology , Rotavirus Infections/prevention & control , Gastroenteritis/diagnosis , Gastroenteritis/epidemiology , Feces , Risk Factors
2.
J Pediatr ; 228: 271-277.e1, 2021 01.
Article in English | MEDLINE | ID: mdl-32828881

ABSTRACT

OBJECTIVES: To measure the impact of rapid influenza real-time qualitative reverse transcriptase polymerase chain reaction (RT-PCR) on patient management in busy pediatric emergency department (ED) and urgent care clinic settings. STUDY DESIGN: We developed a brief, elective survey that clinicians completed when an influenza RT-PCR order was placed in the ED or urgent care clinic between February 18, 2019, and March 13, 2019. We captured the clinical suspicion for influenza, intended management plans, and actual management plans once influenza RT-PCR results were available. RESULTS: We evaluated 339 encounters, of which 164 (48.4%) had a positive influenza RT-PCR. Clinical suspicion for influenza was a nonsignificant predictor for influenza PT-PCR positivity (P = .126). After rapid influenza RT-PCR results were available, clinicians changed their original plans in 44.5% of influenza RT-PCR positive vs 92.6% of influenza RT-PCR negative cases (P < .0001). Change in plans for antiviral use was observed in 26% of influenza positive vs 77% of influenza negative cases (P < .0001). A total of 135 antiviral prescriptions were avoided in patients with negative influenza RT-PCR. CONCLUSIONS: Implementation of a rapid and accurate influenza RT-PCR in the acute care setting is important to systematically diagnose influenza in children and improve outpatient management decisions, because clinical suspicion for influenza is inaccurate. A negative influenza RT-PCR decreases unnecessary antiviral use and has the potential for significant cost savings.


Subject(s)
DNA, Viral/analysis , Emergency Service, Hospital , Influenza A virus/genetics , Influenza, Human/diagnosis , Molecular Diagnostic Techniques/methods , Point-of-Care Systems , Child , Child, Preschool , Female , Humans , Infant , Influenza, Human/virology , Male , ROC Curve , Retrospective Studies
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