Purpose: LACE is gradually becoming more established for the treatment of constipation. The purpose of this study was to review the current status of LACE procedure in paediatric practice.
Materials And Methods: A systematic database search was performed. Patients who underwent a LACE procedure between 2002 and May 2007 were reviewed retrospectively. The data was analysed with respect to indications for operation, operative techniques, outcome, and complications. The outcomes were compared with those of right-sided antegrade colonic enema (RACE) procedures, published in the same period.
Results: Nine studies describing 93 patients were identified. The underlying diagnoses were spina bifida (70 %), anorectal malformation (10 %), idiopathic constipation (10 %), Hirschsprung's disease (4 %) and other (6 %). The mean age at operation was 10 years. The various operative procedures used included retubularisation of the sigmoid colon (31 %), retubularisation of the splenic flexure (28 %), left Monti from the descending colon (15 %), and retubularisation of the ileum (3 %). Minimally invasive techniques were used in 23 % of cases. Mean volume of enema used was 414 ml. The mean transit time for enema was 31 minutes. Social continence was achieved in 94 % (complete in 72 %; partial in 22 %) cases. Stomal stenosis was seen in 14 % of cases, of which 9 % required revision of the stoma and 5 % responded to dilatation. Sixteen studies describing 583 patients were found for RACE. Indications for operation were similar to those for LACE. Open procedures were done in 86 % of cases, and laparoscopic assisted procedures in 14 % of cases. Mean age at operation was 10 years. Mean volume of enema used 618 ml. Median evacuation time was 53 minutes. Continence was achieved in 94 % of cases. Stomal stenosis occurred in 26 %.
Conclusion: The results of LACE procedures are encouraging, especially in light of the lower amount of enema fluid required, the quicker enema transit time and fewer complications. Overall outcome (continence) is comparable to that of RACE.
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http://dx.doi.org/10.1055/s-2008-1038499 | DOI Listing |
ISA Trans
January 2025
School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, 330013, Jiangxi, China; Key Laboratory of Advanced Control & Optimization of Jiangxi Province, Nanchang, 330013, Jiangxi, China. Electronic address:
Traditional data-driven models for predicting rare earth component content are primarily developed by relying on supervised learning methods, which suffer from limitations such as a lack of labeled data, lagging, and poor usage of a major amount of unlabeled data. This paper proposes a novel prediction approach based on the BiLSTM-Deep autoencoder enhanced traditional LSSVM algorithm, termed BiLSTM-DeepAE-LSSVM. This approach thoroughly exploits the implicit information contained in copious amounts of unlabeled data in the rare earth production process, thereby improving the traditional supervised prediction method and increasing the accuracy of component content predictions.
View Article and Find Full Text PDFJ Neurosurg Spine
November 2024
Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
Objective: Outpatient spine surgery could reduce hospital costs and improve patient outcomes. Outpatient lateral lumbar interbody fusion (LLIF) can be performed for select patients. This study identified and compared the demographic, clinical, and surgical characteristics of patients who underwent outpatient versus inpatient single-level LLIF.
View Article and Find Full Text PDFJ Vis Exp
November 2024
Translational Medicine Laboratory, Biomedical Research and Innovation Centre, University of Salford;
BMC Health Serv Res
November 2024
Computing Science, University of Alberta, 116 St & 85 Ave, Edmonton, AB, T6G 2R3, Canada.
Background: The rate of 30-day all-cause hospital readmissions can affect the funding a hospital receives. An accurate and reliable readmission prediction model could save money and increase quality-of-care. Few projects have explored formulating this task as a survival prediction problem, where models can exploit a real-valued time-to-readmission target.
View Article and Find Full Text PDFEinstein (Sao Paulo)
November 2024
Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Objective: To assess whether post-discharge telemonitoring reduces hospital readmission in patients participating in the diabetes care program.
Methods: This retrospective cohort study was conducted from June 2021 to December 2022 and included patients who were enrolled in the Diabetes Program under a hyperglycemia treatment protocol and eligible for post-discharge telemonitoring. The variables included age, sex, diagnosis, hospital stay, LACE Score, and readmission rate.
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