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J Pediatr ; 259: 113424, 2023 08.
Artigo em Inglês | MEDLINE | ID: mdl-37084849

RESUMO

OBJECTIVE: To examine the associations between race and ethnicity and length of stay (LOS) for US children with acute osteomyelitis. STUDY DESIGN: Using the Kids' Inpatient Database, we conducted a cross-sectional study of children <21 years old hospitalized in 2016 or 2019 with acute osteomyelitis. Using survey-weighted negative binomial regression, we modeled LOS by race and ethnicity, adjusting for clinical and hospital characteristics and socioeconomic status. Secondary outcomes included prolonged LOS, defined as LOS of >7 days (equivalent to LOS in the highest quartile). RESULTS: We identified 2388 children discharged with acute osteomyelitis. The median LOS was 5 days (IQR, 3-7). Compared with White children, children of Black race (adjusted incidence rate ratio [aIRR] 1.15; 95% CI, 1.05-1.27), Hispanic ethnicity (aIRR 1.11; 95% CI, 1.02-1.21), and other race and ethnicity (aIRR 1.12; 95% CI, 1.01-1.23) had a significantly longer LOS. The odds of Black children experiencing prolonged LOS was 46% higher compared with White children (aOR, 1.46; 95% CI, 1.01-2.11). CONCLUSIONS: Children of Black race, Hispanic ethnicity, and other race and ethnicity with acute osteomyelitis experienced longer LOS than White children. Elucidating the mechanisms underlying these race- and ethnicity-based differences, including social drivers such as access to care, structural racism, and bias in provision of inpatient care, may improve management and outcomes for children with acute osteomyelitis.


Assuntos
Hospitalização , Tempo de Internação , Osteomielite , Adolescente , Criança , Humanos , Adulto Jovem , Doença Aguda , Negro ou Afro-Americano , Estudos Transversais , Etnicidade , Hispânico ou Latino/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Osteomielite/epidemiologia , Osteomielite/etnologia , Osteomielite/terapia , Estados Unidos/epidemiologia , Brancos , Grupos Raciais/estatística & dados numéricos
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