Treatment algorithm for velopharyngeal dysfunction in patients with cleft palate: a systematic review.

Br J Oral Maxillofac Surg

Oral and Maxillofacial Surgery Department, Faculty of Dentistry, Ain Shams University, Egypt. Electronic address:

Published: May 2023

The aim of this study was to review current literature regarding the speech outcome of different techniques of surgical treatment of VPD in cleft patients, in an attempt to reach a treatment algorithm. A systematic review was done, by searching Pubmed, Scopus, and Web of Science electronic databases, following the PRISMA guidelines. Articles reporting speech assessment results of secondary VPI surgeries on non-syndromic patients with CP. Surgical techniques were categorised into two groups; palatal and pharyngeal surgeries. Raw data were extracted to compare speech outcome and complication of each technique, with special emphasis on the factors affecting the patients' selection for each technique. Our results showed comparable success and complication rates among these techniques. However, the factors governing selection of each technique were identified and taken into consideration to reach a preliminary algorithm. A preliminary treatment algorithm is described based on the results of our review; the most important factors affecting the technique choice are: VP gap size, LVP position, palatal mobility, palatal scarring, VP closure pattern, and age of the patient.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bjoms.2023.03.002DOI Listing

Publication Analysis

Top Keywords

treatment algorithm
12
systematic review
8
speech outcome
8
selection technique
8
treatment
4
algorithm velopharyngeal
4
velopharyngeal dysfunction
4
dysfunction patients
4
patients cleft
4
cleft palate
4

Similar Publications

Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson's disease (PWP) by adjusting the stimulation in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and manually selected neural features which may result in a less robust and biased therapy. In this study, we propose Neural-to-Gait Neural network (N2GNet), a novel deep learning-based regression model capable of tracking real-time gait performance from subthalamic nucleus local field potentials (STN LFPs).

View Article and Find Full Text PDF

Prediction of pulmonary embolism by an explainable machine learning approach in the real world.

Sci Rep

January 2025

Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.

In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.

View Article and Find Full Text PDF

Machine Learning-Based Estimation of Hoarseness Severity Using Acoustic Signals Recorded During High-Speed Videoendoscopy.

J Voice

January 2025

Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.

Objectives: This study investigates the use of sustained phonations recorded during high-speed videoendoscopy (HSV) for machine learning-based assessment of hoarseness severity (H). The performance of this approach is compared with conventional recordings obtained during voice therapy to evaluate key differences and limitations of HSV-derived acoustic recordings.

Methods: A database of 617 voice recordings with a duration of 250 ms was gathered during HSV examination (HS).

View Article and Find Full Text PDF

Altered thrombin generation with prothrombin complex concentrate is not detected by viscoelastic testing: an in vitro study.

Br J Anaesth

January 2025

Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation with AUVA, Vienna, Austria; Department of Anesthesiology and Intensive Care Medicine AUVA Trauma Center Salzburg, Academic Teaching Hospital of the Paracelsus Medical University, Salzburg, Austria.

Background: Bleeding guidelines currently recommend use of viscoelastic testing (VET) to direct haemostatic resuscitation in severe haemorrhage. However, VET-derived parameters of clot initiation, such as clotting time (CT) and activated clotting time (ACT), might not adequately reflect a clinically relevant interaction of procoagulant and anticoagulant activity, as revealed by thrombin generation assays. The aim of this study was to evaluate the ability of CT and ACT to indicate thrombin generation activity.

View Article and Find Full Text PDF

Background: Post-transplant cyclophosphamide (PTCy) is a commonly used graft-vs-host disease (GVHD) prophylaxis, particularly in the setting of haploidentical (haplo) hematopoietic cell transplantation (HCT). The rate of graft failure has been reported to be as high as 12-20% in haplo-HCT recipients using PTCy. The objective of this study was to determine if donor type influenced the risk of late graft failure following RIC HCT using PTCy-based GVHD prophylaxis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!