Laparoscopic Fundoplication in Patients with Ventriculoperitoneal Shunts: A Systematic Review and Our Experience.
Daiki KatoHiroo UchidaTakahisa TainakaHizuru AmanoYasuyuki OnoAkihiro YasuiChiyoe ShirotaWataru SumidaKazuki YokotaSatoshi MakitaAitaro TakimotoShunya TakadaYoichi NakagawaYousuke GohdaTakuya MaedaAkinari HinokiPublished in: Journal of laparoendoscopic & advanced surgical techniques. Part A (2024)
Background: Data on the outcomes of laparoscopic fundoplication (LF) in patients with ventriculoperitoneal (VP) shunts are limited. Materials and Methods: We retrospectively evaluated the demographic characteristics and outcomes of patients who underwent LF at our institutions between 2014 and 2022. Then, we systematically reviewed articles in MEDILINE/PubMed, Cochrane Library, and Web of Science. Results: There was no significant difference in terms of the outcomes between patients with VP shunt ( n = 10) and those without ( n = 96) at our institutions. None of the patients presented with shunt trouble after LF. The meta-analysis included four retrospective studies and our institutional data. In total, 605 patients (55 with VP shunt) underwent LF. Furthermore, 2 (3.6%) of 55 patients (1 with infection and 1 with occlusion) had shunt troubles. The conversion and complication rates, operative time, and length of hospital stay did not significantly differ between patients with VP shunt and those without. Conclusions: LF can be safely performed on children with VP shunts and is associated with a low risk of shunt troubles. The Clinical Trial Registration number is 2022-387.
Keyphrases
- end stage renal disease
- pulmonary artery
- clinical trial
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- healthcare
- electronic health record
- emergency department
- type diabetes
- disease virus
- patient reported outcomes
- public health
- pulmonary hypertension
- young adults
- pulmonary arterial hypertension
- study protocol
- case control
- machine learning
- big data
- phase ii
- acute care