External Cranial Prosthesis for Sunken Flap Syndrome
This study is looking into whether an External Cranial Prosthesis, a 3D printed plate, can help prevent "Sunken Flap Syndrome" (a change in brain function after skull surgery) in patients who have had a craniectomy. Patients who have experienced traumatic brain injury or stroke and had a craniectomy within the last two weeks at Johns Hopkins Hospital or Johns Hopkins Bayview Medical Center may be able to join. The study aims to see if this prosthesis can prevent the syndrome, reduce healthcare costs, and improve brain function recovery. The study plans to enroll 72 participants.
- Study design
- This interventional study plans to enroll 72 participants. It is not specified if it is randomized or blinded.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, incidence of Sunken Flap Syndrome, will be measured for up to 6 months.
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External Post-Operative Skull Prosthesis to Prevent Sunken Flap Syndrome in Craniectomy Patients
At a glance
Conditions
Where it's being run
2 sites across 1 statesStudy leadership
- Joseph M Dardick, MD · PRINCIPAL_INVESTIGATOR · Johns Hopkins Medical Institute
- Fernando Gonzalez, MD · PRINCIPAL_INVESTIGATOR · Johns Hopkins University
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Incidence of Sunken Flap SyndromeUp to 6 months
Sunken Flap Syndrome will be defined as development of new neurologic symptoms after acute injury and craniectomy that improve quickly post-cranioplasty (ie. between pre- and post-cranioplasty appointments). Changes will be determined based on Glasgow coma scale, brainstem reflex assessment, confrontational strength testing, and Mini-Mental State Exam testing (MMSE). Patients that have improvement in at least one of these modalities will indicate that the patient suffered from SFS and the reported variable will be "incidence of SFS". The incidence of SFS will be compared between the intervention and non-intervention groups using chi-squared analysis.