Reliability of the Beit CURE classification for the management of chronic hematogenous osteomyelitis of the long bones in children

Chronic hematogenous osteomyelitis (CHOM) of long bones in children remains a major clinical challenge in low- and middle-income countries. The Beit CURE classification has been used to guide treatment, but its reliability across different centers and raters has not been established. Forty-four children with CHOM were evaluated using digital radiographs by 16 fellowship-trained pediatric orthopedic surgeons from five continents. All the raters were trained in Beit CURE classification and assessed each case twice, 4 weeks apart. Interobserver and intraobserver reliability were calculated using intraclass correlation coefficients (ICCs). The raters also predicted anticipated surgical management and the number of procedures needed. Interobserver reliability was fair overall (ICC: 0.467, 95% confidence interval: 0.36–0.59). Agreement was highest for types A and B4 (>80% consensus) and lowest for types B2, B3, and C (<25%). The reliability for growth plate involvement was moderate (ICC: 0.628) and was poor for site involvement (ICC: 0.269). Predictions regarding surgical planning were inconsistent, especially for B2, B3, and C lesions. The Beit CURE classification demonstrated only limited reproducibility among experienced pediatric orthopedic surgeons. While types A and B4 were reliably identified, other subtypes showed poor agreement, undermining clinical decision-making. Refinements – such as merging B2 and B3, providing clearer definitions of sclerosis and involucrum quality, and integrating clinical parameters – are needed before the Beit CURE classification system can serve as a reliable guide for treatment planning. Level of Evidence Level 2.

Authors

Institutions

Publication Details

Journal
Journal of Pediatric Orthopaedics B
Published
2026-06-29
DOI
https://doi.org/10.1097/bpb.0000000000001371
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliability of the Beit CURE classification for the management of chronic hematogenous osteomyelitis of the long bones in children

Abhishek Bhasme, Qaisur Rabbi, Dimuthu Tennakoon, Tim Nunn et al.
Journal of Pediatric Orthopaedics B
Orthopedic Infections and Treatments
article

Reliability of the Beit CURE classification for the management of chronic hematogenous osteomyelitis of the long bones in children

Abhishek Bhasme, Qaisur Rabbi, Dimuthu Tennakoon, Tim Nunn, Dhiren Ganjwala, Vidyasagar Chandankere, Nirmal Raj Gopinathan, Mohan V. Belthur, Hitesh Shah, A Horn, Parmanand Gupta, Anuj Shrestha, James A. Fernandes, Alejandro Baar, Binoti Sheth, Abhay Gahukamble, Anil Agarwal, Nikhil Challwar, Quazi Alam, Ashish Rande
article en

Abstract

Chronic hematogenous osteomyelitis (CHOM) of long bones in children remains a major clinical challenge in low- and middle-income countries. The Beit CURE classification has been used to guide treatment, but its reliability across different centers and raters has not been established. Forty-four children with CHOM were evaluated using digital radiographs by 16 fellowship-trained pediatric orthopedic surgeons from five continents. All the raters were trained in Beit CURE classification and assessed each case twice, 4 weeks apart. Interobserver and intraobserver reliability were calculated using intraclass correlation coefficients (ICCs). The raters also predicted anticipated surgical management and the number of procedures needed. Interobserver reliability was fair overall (ICC: 0.467, 95% confidence interval: 0.36–0.59). Agreement was highest for types A and B4 (>80% consensus) and lowest for types B2, B3, and C (<25%). The reliability for growth plate involvement was moderate (ICC: 0.628) and was poor for site involvement (ICC: 0.269). Predictions regarding surgical planning were inconsistent, especially for B2, B3, and C lesions. The Beit CURE classification demonstrated only limited reproducibility among experienced pediatric orthopedic surgeons. While types A and B4 were reliably identified, other subtypes showed poor agreement, undermining clinical decision-making. Refinements – such as merging B2 and B3, providing clearer definitions of sclerosis and involucrum quality, and integrating clinical parameters – are needed before the Beit CURE classification system can serve as a reliable guide for treatment planning. Level of Evidence Level 2.

Journal of Pediatric Orthopaedics B
Manipal Academy of Higher Education (IN), Christian Medical College, Vellore (IN), Universidad de Los Andes, Chile (CL), Bangladesh Medical University (BD), Lokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College (IN), Government Vellore Medical College (IN), Lady Ridgeway Hospital for Children (LK), Ahmedabad Civil Hospital (IN), Mediciti Institute of Medical Sciences (IN), Government Medical College and Hospital (IN), Sunshine Hospitals (IN), Government Medical College and Hospital (IN), Kanti Children's Hospital (NP), Deenanath Mangeshkar Hospital and Research Center (IN), Phoenix Children's Hospital (US), Centre for the Rehabilitation of the Paralysed (BD), Indian Numismatic, Historical and Cultural Research Foundation (IN), Chacha Nehru Bal Chikitsalaya (IN), Red Cross War Memorial Children's Hospital (ZA), Indira Gandhi Institute of Child Health (IN), Sheffield Children's Hospital (GB), Post Graduate Institute of Medical Education and Research (IN), Addis Ababa University (ET), Kasturba Medical College, Manipal (IN)
No poverty
Openalex Percentile: Top 6%
Orthopedic Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.