A nationwide questionnaire survey of congenital hydrocephalus in 2000 investigated the treatment and clinical outcomes for congenital hydrocephalus in Japan to evaluate the factors influencing clinical outcome. Surgical treatment was performed in 341 of 380 patients who survived the early neonatal period. Of 321 patients who had shunt operations, 295 (91.9%) underwent ventriculoperitoneal shunting and nine (2.8%) ventriculoatrial shunting. Programmable valves were used in 83 (33.6%) of the 247 patients at the first shunting and in 97 (39.3%) at the last shunting. The incidence of complications after the first shunting was 55.4% (46 of 83 patients) in the programmable and 61.6% (101 of 164) in the non-programmable valve groups. The types of shunt complication differed significantly between these groups (p < 0.001), as the incidence of shunt infection and malfunction was lower in the programmable valve group. Clinical outcome was generally better with later delivery stage during gestation (p < 0.02). The clinical outcome was statistically significantly better in term patients who underwent early shunt placement than in those who underwent late shunt placement (p < 0.05).
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http://dx.doi.org/10.2176/nmc.47.453 | DOI Listing |
J Clin Endocrinol Metab
January 2025
Division of Orthogenetics, Department of Pediatrics, Nemours Children's Hospital, Delaware, 1600 Rockland Road, Wilmington, DE, 19803, USA.
Achondroplasia is the most common disproportionate short-stature skeletal dysplasia. Features associated with achondroplasia are rhizomelia, macrocephaly, midface hypoplasia, and typical cognition. Potential medical complications include foramen magnum stenosis, hydrocephalus, middle ear dysfunction, obstructive and central sleep apnea, spinal stenosis and genu varum.
View Article and Find Full Text PDFClin Neuroradiol
January 2025
Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Introduction: Ventriculoperitoneal shunts (VPS) are an essential part of the treatment of hydrocephalus, with numerous valve models available with different ways of indicating pressure levels. The model types often need to be identified on X‑rays to assess pressure levels using a matching template. Artificial intelligence (AI), in particular deep learning, is ideally suited to automate repetitive tasks such as identifying different VPS valve models.
View Article and Find Full Text PDFFluids Barriers CNS
January 2025
Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Background: Cerebral autoregulation is a robust regulatory mechanism that stabilizes cerebral blood flow in response to reduced blood pressure, thereby preventing cerebral ischaemia. Scientists have long believed that cerebral autoregulation also stabilizes cerebral blood flow against increases in intracranial pressure, which is another component that determines cerebral perfusion pressure. However, this idea was inconsistent with the complex pathogenesis of normal pressure hydrocephalus, which includes components of chronic cerebral ischaemia due to mild increases in intracranial pressure.
View Article and Find Full Text PDFNeuroinformatics
January 2025
Department of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, 410114, China.
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to guide clinical treatment decisions, this paper retrospectively analyses the clinical data of 844 cases of ICH and hydrocephalus inpatients admitted to Yueyang People's Hospital from May 2019 to October 2022, of which 95 cases of hydrocephalus occurred after ICH and no hydrocephalus in 749 cases. The following indicators were compared between the two groups of patients: gender, age, Glasgow Coma Scale(GCS)score, whether the amount of bleeding was greater than 30 ml, whether it broke into the ventricle or not, modified Graeb score(MGS), modified Rankin Scale (MRS) score, whether surgery was performed or not, red blood cells, white blood cells, and platelets. After variable screening, the following six variables were selected: GCS score, MGS, MRS score, whether the bleeding volume was greater than 30 ml, whether it broke into the ventricle or not, and whether surgery was performed or not were modelled and analysed using logistic regression model and support vector machine model in machine learning.
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