DIAGNOSTIC AND PROGNOSTIC SIGNIFICANCE OF PINP AND Β-CROSSLAPS IN PEDIATRIC ACUTE HEMATOGENOUS OSTEOMYELITIS

Sh Yusupov1, O Kim1, J Atakulov1

  • 11Department of Pediatric Surgery N1, Samarkand State Medical University, Uzbekistan.

Georgian Medical News
|July 30, 2025
PubMed

Insights

Monitoring bone metabolism markers, including procollagen type 1 N-terminal propeptide (PINP) and beta-CrossLaps (β-CrossLaps), aids in managing acute hematogenous osteomyelitis (AHO) in children. The P/B index offers a sensitive tool for personalized treatment and improved outcomes.

Area of Science:

  • Pediatric Orthopedics
  • Biochemistry
  • Bone Metabolism

Background:

  • Bone metabolism in children shows distinct age-related patterns.
  • Acute hematogenous osteomyelitis (AHO) requires monitoring of bone synthesis (PINP) and resorption (β-CrossLaps) markers.
  • These markers assess disease phases and bone tissue's adaptive capacity.

Purpose of the Study:

  • To analyze age-specific changes in bone metabolism markers (PINP and β-CrossLaps) in children with AHO.
  • To evaluate the diagnostic utility of the P/B index and ROC analysis for assessing bone turnover.
  • To propose a personalized monitoring algorithm for AHO management.

Main Methods:

  • Analysis of PINP and β-CrossLaps levels in 200 children with AHO.
  • Data collected at four time points: Day 1, Day 7, 2 months, and 6-8 months post-operatively.
  • Statistical methods included ANOVA, P/B index calculation, and ROC analysis.

Main Results:

  • PINP significantly increased in 1-4 year olds (11.9-fold) during repair.
  • β-CrossLaps increased notably in adolescents (15-19 years, 10.5-fold).
  • The P/B index showed high sensitivity (cut-offs >1.2 for osteogenesis, <0.8 for resorption), with combined ROC analysis yielding an AUC of 0.84.

Conclusions:

  • The P/B index facilitates individualized AHO treatment and complication prevention.
  • Integrating PINP, β-CrossLaps, and the P/B index enhances diagnostic accuracy and monitoring efficiency.
  • A proposed personalized algorithm improves outcomes for pediatric AHO patients.
Abstract