Document details

Distinguishing Kingella kingae from Pyogenic Acute Septic Arthritis in Young Portuguese Children.

Author(s): Gouveia, Catarina ; Subtil, Ana ; Norte, Susana ; Arcangelo, Joana ; Santos, Madalena Almeida ; Corte-Real, Rita ; Simões, Maria João ; Canhão, Helena ; Tavares, Delfin

Date: 2022

Persistent ID: http://hdl.handle.net/10362/141516

Origin: Repositório Institucional da UNL

Subject(s): Kingella kingae; acute septic arthritis; pyogenic infections


Description

(1) Background: We aim to identify clinical and laboratorial parameters to distinguish Kingella kingae from pyogenic septic arthritis (SA). (2) Methods: A longitudinal, observational, single-centre study of children < 5 years old with microbiological positive SA admitted to a paediatric hospital from 2013-2020 was performed. Clinical and laboratorial data at admission and at 48 h, as well as on treatment and evolution, were obtained. (3) Results: We found a total of 75 children, 44 with K. kingae and 31 with pyogenic infections (mostly MSSA, S. pneumoniae and S. pyogenes). K. kingae affected younger children with low or absent fever, low inflammatory markers and a favourable prognosis. In the univariate analyses, fever, septic look, CRP and ESR at admission and CRP at 48 h were significantly lower in K. kingae SA. In the multivariate analyses, age > 6 months ≤ 2 years, apyrexy and CRP ≤ 100 mg/L were significative, with an overall predictive positive value of 86.5%, and 88.4% for K. kingae. For this model, ROC curves were capable of differentiating (AUC 0.861, 95% CI 0.767-0.955) K. kingae SA from typical pathogens. (4) Conclusions: Age > 6 months ≤ 2 years, apyrexy and PCR ≤ 100 mg/L were the main predictive factors to distinguish K. kingae from pyogenic SA < 5 years. These data need to be validated in a larger study.

Document Type Journal article
Language English
Contributor(s) NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM); Comprehensive Health Research Centre (CHRC) - Pólo ENSP; Escola Nacional de Saúde Pública (ENSP); Comprehensive Health Research Centre (CHRC) - pólo NMS; RUN
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