Evidence Hub

Management of pregnancy in a woman with a new diagnosis of pycnodysostosis: A case report

Finnie E, Ayuk P

Case reports in women's health, 2026

Abstract

Pycnodysostosis is a rare autosomal recessive skeletal dysplasia resulting in short stature, characteristic facial features and long-bone fractures. Given its rarity, there is minimal information in the medical literature on management of pregnancies in women affected by pycnodysostosis. This report describes the antenatal, intrapartum and postnatal care of a 28-year-old nulliparous woman with a new diagnosis of pycnodysostosis during pregnancy. Throughout her care, involvement was sought from the moving and handling team, anaesthetics, geneticists and obstetricians to allow anticipation of potential complications. Mode of delivery was discussed, with a joint decision to opt for an elective caesarean section under regional anaesthesia at 37 weeks of gestation. In the postnatal period, the patient's recovery was complicated by a long-bone fracture, a recognised and important risk of pycnodysostosis. The report reflects on steps taken to mitigate fracture risk. However, the fall precipitating the fracture was the patient's own home, where she had lived for several years, and was therefore unforeseeable. This case highlights the importance both of a multidisciplinary approach and thorough antenatal care planning for women with rare and complex conditions in pregnancy, and of the risk of long-bone fracture in the postnatal period in women with pycnodysostosis. The report aims to increase awareness of this condition and provide an approach for the management of other women with…

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free