Programmable Shunt Valves for Pediatric Hydrocephalus: 22-Year Experience from a Singapore Children's Hospital.
Min Li TeyLee Ping NgDavid C Y LowWan Tew SeowSharon Y Y LowPublished in: Brain sciences (2021)
(1) Background: pediatric hydrocephalus is a challenging condition. Programmable shunt valves (PSV) have been increasingly used. This study is undertaken to firstly, to objectively evaluate the efficacy of PSV as a treatment modality for pediatric hydrocephalus; and next, review its associated patient outcomes at our institution. Secondary objectives include the assessment of our indications for PSV, and corroboration of our results with published literature. (2) Methods: this is an ethics-approved, retrospective study. Variables of interest include age, gender, hydrocephalus etiology, shunt failure rates and incidence of adjustments made per PSV. Data including shunt failure, implant survival, and utility comparisons between PSV types are subjected to statistical analyses. (3) Results: in this case, 51 patients with PSV are identified for this study, with 32 index and 19 revision shunts. There are 3 cases of shunt failure (6%). The mean number of adjustments per PSV is 1.82 times and the mean number of adjustments made per PSV is significantly lower for MEDTRONIC™ Strata PSVs compared with others (p = 0.031). Next, PSV patients that are adjusted more frequently include cases of shunt revisions, PSVs inserted due to CSF over-drainage and tumor-related hydrocephalus. (4) Conclusion: we describe our institutional experience of PSV use in pediatric hydrocephalus and its advantages in a subset of patients whose opening pressures are uncertain and evolving.
Keyphrases
- subarachnoid hemorrhage
- cerebrospinal fluid
- pulmonary artery
- end stage renal disease
- newly diagnosed
- ejection fraction
- prognostic factors
- heart failure
- public health
- young adults
- brain injury
- physical activity
- randomized controlled trial
- risk factors
- total knee arthroplasty
- emergency department
- pulmonary hypertension
- machine learning
- electronic health record
- patient reported outcomes
- mental health
- left ventricular
- aortic stenosis
- global health
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- combination therapy