Osteoporosis, bone & mineral

Identification of hypophosphatasia in adults with persistent hypophosphatasemia: clinical-genetic characterization and a validated diagnostic tool

Osteoporos IntPublished Diagnostic accuracy study

Authors' conclusion

This study provides the largest clinical-genetic characterization of adult HPP in China and proposes a simple four-variable nomogram that enables accurate recognition of HPP without PLP testing, facilitating earlier diagnosis in routine practice.

Study context

Population
Adults with persistent hypophosphatasemia, Chinaexternal validation n = 40
Comparison
Hypophosphatasia (HPP) vs persistent hypophosphatasemia with negative ALPL testing; Model 1 vs Model 0
  • HPPn = 72
  • ALPL-negativen = 36reference
Outcome
Diagnostic performance for HPP
Methodological detailsdiagnostic model development, tenfold cross-validation, decision curve analysis, external validation
  • Diagnostic model development
  • Tenfold cross-validation
  • Decision curve analysis
  • External validation

Performance

As reported in the abstract

Test or modelAUCAUC in external validation
Model 10.9180.833
Model 00.896— not stated in the abstract

AUC

Model 10.918
Model 00.896

AUC in external validation

Model 10.833
Model 0— not stated in the abstract

— not stated in the abstract

  • Model 1 vs Model 0: P = 0.513

Further findings

OutcomeHPPALPL-negativeP value
ALPHPP vs ALPL-negative27.0 (IQR 21.8–33.3) U/L36.00 (IQR 32.0–38.0) U/LP < 0.001
PLPHPP vs ALPL-negative214.3 (IQR 121.3–457.7) nmol/L42.6 (IQR 31.9–63.5) nmol/LP < 0.001

Other characteristics and cutoffs

Optimal alkaline phosphatase (ALP) cutoff
28.2 U/L
Optimal PLP cutoff
114.9 nmol/L
HPP: growth impairment, higher prevalence of chronic musculoskeletal pain and family history
Compound heterozygotes and crown domain variants showed lower ALP and higher PLP

Original publication

Identification of hypophosphatasia in adults with persistent hypophosphatasemia: clinical-genetic characterization and a validated diagnostic tool. Osteoporos Int. Published 11 May 2026. doi:10.1007/s00198-026-07986-8

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.