Background: One of the most important decisions in the treatment of osteoarticular infections is the time at which parenteral therapy can be changed to oral therapy. C-reactive protein (CRP) is an acute inflammatory indicator with a half-life of 19 hours and thus can be helpful in assessing the adequacy of therapy for bacterial infections. At our institution, a combination of CRP and clinical findings is used to determine the transition to oral therapy.
Methods: A search of 8 years of electronic records identified children with osteoarticular infections. Only children with culture-positive acute bacterial arthritis (ABA) or acute bacterial osteomyelitis (ABO) were studied further. A primary chart review of demographic and clinical data was conducted, and a secondary chart review of complicated outcomes was performed.
Results: Of 194 total patients, complicated outcomes occurred in 40, of which 35 were prolonged therapy. Only 1 microbiologic failure occurred, presumably due to a retained intra-articular fragment of infected bone. CRP was highest initially among patients with simultaneous ABO + ABA and among those with complicated outcomes, and was lower at the transition to oral therapy in the complicated outcome group (1.5 vs 2.1 mg/dL; P = .012).
Conclusions: The combination of clinical findings and CRP is a useful tool to transition children with osteoarticular infections to oral therapy. Complicated outcomes were associated with higher early CRP at diagnosis and lower CRP at the end of parenteral therapy, suggesting that clinicians were more conservative with prolonged initial parenteral therapy in this group.
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http://dx.doi.org/10.1542/peds.2012-0220 | DOI Listing |
JBJS Case Connect
January 2025
Department of Orthopaedic Surgery, Maulana Azad Medical College & Associated Lok Nayak Hospital, New Delhi, India.
Case: We present a case of isolated tuberculous osteomyelitis of the calcaneus in an immune-competent adult patient with a 5-year follow-up. The diagnosis was established by core needle aspiration and biopsy. He was treated with antituberculous chemotherapy and immobilization.
View Article and Find Full Text PDFRev Paul Pediatr
January 2025
Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Objective: Group A Streptococcus (GAS) are Gram-positive cocci that colonize the nasopharynx and/or skin and in rare cases may cause severe invasive infections. Although these infections decreased during the COVID-19 pandemic, some countries have observed an increased number of invasive GAS (iGAS) diseases in recent years. The objective of this study was to describe a series of iGAS diseases in a referral hospital for the treatment of pediatric infectious disease in Minas Gerais State, Brazil, between September 2022 and August 2023.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Department of Medicine, Royal Darwin Hospital, Darwin, Northern Territory, Australia.
Background: Melioidosis is a multisystem infectious disease caused by the environmental bacterium . Osteomyelitis (OM) and septic arthritis (SA) are uncommon primary presentations for melioidosis but important secondary foci, often requiring prolonged therapy and multiple surgeries. We characterized the epidemiology, presentation, treatment, and outcomes of patients from 24 years of the Darwin Prospective Melioidosis Study (DPMS).
View Article and Find Full Text PDFExpert Rev Anti Infect Ther
January 2025
Alfa Institute of Biomedical Sciences, Athens, Greece.
Introduction: Tedizolid is a novel antibiotic of the class of oxazolidinones. This review evaluates the published literature on the optic and peripheral neuropathy associated with short and prolonged administration of tedizolid.
Areas Covered: A review of published data from 4 databases was conducted, regarding the development of optic and peripheral neuropathy in patients who received tedizolid for short or prolonged duration.
Front Pediatr
December 2024
Department of Orthopaedic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Background: Bloodstream infection (BSI) poses a significant life-threatening risk in pediatric patients with osteoarticular infections. Timely identification of BSI is crucial for effective management and improved patient outcomes. This study aimed to develop a machine learning (ML) model for the early identification of BSI in children with osteoarticular infections.
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