Voice-Related Quality of Life in Post-Laryngectomy Rehabilitation: Tracheoesophageal Fistula's Wellness

(1) Introduction: Laryngeal cancer is one of the most common types of cancer affecting the upper aerodigestive tract. Despite ensuring good oncological outcome in many locoregionally advanced cases, total laryngectomy is associated with relevant physical and psychological sequelae. Treatment through tracheo-esophageal speech, if promising, can lead to very variable outcomes. Not all laryngectomee patients with vocal prosthesis benefit from the same level of rehabilitation mainly due to the development of prosthetic or fistula related problems. The relating sequelae in some cases are even more decisive in the patient quality of life, having a higher impact than communicational or verbal skills. (2) Material and Methods: A retrospective study was conducted on 63 patients initially enrolled with a history of total laryngectomy and voice rehabilitation, treated at the University Hospital of Catania from 1 January 2010 to 31 December 2018. Quality of life (QoL) evaluation through validated self-administrated questionnaires was performed. (3) Results: The Voice-Related Quality of Life questionnaire revealed significantly better outcomes in both socio-emotional and functional domains of the tracheoesophageal patient group compared to the esophageal group (p = 0.01; p = 0.01, respectively), whereas in the Voice Handicap Index assessment, statistically significant scores were not achieved (p = 0.33). (4) Discussion: The significant differences reported through the V-RQOL and Voice Handicap Index scales in the presence of fistula related problems and device lifetime reduction when compared to the oesophageal speech group have demonstrated, as supported by the literature, a crucial role in the rehabilitative prognosis. (5) Conclusions: The criteria of low resistance to airflow, optimal tracheoesophageal retention, prolonged device life, simple patient maintenance, and comfortable outpatient surgery are the reference standard for obtaining good QoL results, especially over time. Furthermore, the correct phenotyping of the patient based on the main outcomes achieved at clinical follow-up guarantees the primary objective of the identification of a better quality of life

B-cell central nervous system lymphoma developing in a patient with cerebral meningioangiomatosis

Meningioangiomatosis is a rare congenital hamartomatous malformation of the leptomeninges that can also involve the adjacent cerebral tissue, sometime arising in association with neurofibromatosis. Here we report the case of a 55-year-old man with neuroradiological evidence of meningioangiomatosis, known to be a well-defined malformative-dysplastic lesion, preceding the onset of central nervous system B-cell lymphoma. We describe for the first time this unusual association, highlighting how meningioangiomatosis could accompany different pathologies more frequently than thought

Involvement of the aorta in brucellosis: the forgotten, life-threatening complication. A systematic review

Abstract Human brucellosis is a disease of protean manifestations, and has been implicated in complications and focal disease in many human organ systems. However, little is collectively known about the background, the course, the clinical characteristics, the diagnostic issues raised, and the short- and long-term therapeutic approaches in patients with aortic involvement as a complication of brucellosis. With the aim to glean from the literature useful information to better understand and manage this complication, a computerized search without language restriction was conducted using PubMed and SCOPUS. An article was considered eligible for inclusion in the systematic review if it reported data on patients with involvement of the aorta due to a Brucella infection. The epidemiologic and clinical characteristics of 44 cases of brucellar aortic involvement found through the systematic review of the literature were analyzed together with those of two new cases that we treated in the recent past. This complication involved the ascending thoracic aorta in 18 cases (in 16 of them as a consequence of brucellar endocarditis), and the descending thoracic aorta or the abdominal aorta in the remaining 30 cases. In the latter it was associated with spondylodiscitis of the lumbar spine in 13 cases. History of or symptoms indicative of brucellosis were not universally present. Brucellar aortic involvement represents a possibly underdiagnosed and underreported complication with major morbidity and mortality potential. Experience with novel invasive therapeutic approaches remains limited. Early suspicion through detailed history and diagnosis, aided by advances in aortic imaging, would allow for better planning of therapeutic intervention

Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions

Nowadays, physicians have at their hands a huge amount of data produced by a large set of diagnostic and instrumental tests integrated with data obtained by high-throughput technologies. If such data were opportunely linked and analysed, they might be used to strengthen predictions, so that to improve the prevention and the time-to-diagnosis, reduce the costs of the health system, and bring out hidden knowledge. Machine learning is the principal technique used nowadays to leverage data and gain useful information. However, it has led to various challenges, such as improving the interpretability and explainability of the employed predictive models and integrating expert knowledge into the final system. Solving those challenges is of paramount importance to enhance the trust of both clinicians and patients in the system predictions. To solve the aforementioned issues, in this paper we propose a software workflow able to cope with the trustworthiness aspects of machine learning models and considering a multitude of heterogeneous data and models

Neurocognitive performance improvement after obstructive sleep apnea treatment: State of the art

International audienceBackground: Obstructive Sleep Apnea (OSA) syndrome is a respiratory sleep disorder characterized by partial or complete episodes of upper airway collapse with reduction or complete cessation of airflow. Although the connection remains debated, several mechanisms such as intermittent hypoxemia, sleep deprivation, hypercapnia disruption of the hypothalamic–pituitary–adrenal axis have been associated with poor neurocognitive performance. Different treatments have been proposed to treat OSAS patients as continuous positive airway pressure (CPAP), mandibular advancement devices (MAD), surgery; however, the effect on neurocognitive functions is still debated. This article presents the effect of OSAS treatments on neurocognitive performance by reviewing the literature. Methods: We performed a comprehensive review of the English language over the past 20 years using the following keywords: neurocognitive performance and sleep apnea, neurocognitive improvement and CPAP, OSAS, and cognitive dysfunction. We included in the analysis papers that correlated OSA treatment with neurocognitive performance improvement. All validated tests used to measure different neurocognitive performance improvements were considered. Results: Seventy papers reported neurocognitive Performance improvement in OSA patients after CPAP therapy. Eighty percent of studies found improved executive functions such as verbal fluency or working memory, with partial neural recovery at long-term follow-up. One article compared the effect of MAD, CPAP treatment on cognitive disorders, reporting better improvement of CPAP and MAD than placebo in cognitive function. Conclusions: CPAP treatment seems to improve cognitive defects associated with OSA. Limited studies have evaluated the effects of the other therapies on cognitive function

Barbed reposition pharyngoplasty (BRP) in obstructive sleep apnea treatment: State of the art

Purpose: In this paper, we perform a systematic review that discusses the state of the art and evolution on the barbed reposition pharyngoplasty (BRP) in the velo-pharyngeal surgery. Clinical evidence and published outcomes of this surgical technique are reported and discussed. Materials and methods: We performed a systematic review of the current literature through the analysis of the last 10 years of literature on barbed palate surgery. Study design, number of patients enrolled, inclusion criteria, pre- and posttreatment outcomes (AHI, ODI), surgical success rate, follow-up time and complication has been collected and reported. Results: 15 studies for a total of 1531 patients, out of which 1061 underwent barbed reposition pharyngoplasty. Five trials were uncontrolled prospective studies (215 patients, 14% of total), nine were retrospective studies (1266 patients, 82,6% of total), and one randomized prospective clinical trial (RCT) (50 patients, 3,32% of total). All analyzed studies reported good outcomes after BRP surgery. Average preoperative values of AHI and ODI reduced in all studies considered with a significative statistical difference between preoperative and postoperative values (p < 0.05 in all cases). The postoperative surgical success rate ranged between 65.4 and 93% of cases. There were no significant intra-operative or post-operative complications in all studies considered in this systematic review. Conclusions: Barbed reposition pharyngoplasty has proven to be an easy to learn, quick, safe and effective new palatopharyngeal procedure, that can be used in a single level surgery or as a part of multilevel procedures

Early and Midterm Results after Endovascular Repair of Non-infected Saccular Lesions of the Infrarenal Aorta

Objective: The aim was to report short and midterm outcomes of a cohort of consecutive patients treated by endovascular aortic repair (EVAR) for saccular lesion of the abdominal aorta (sl-AA). Methods: This was a multicentre, retrospective, financially unsupported physician initiated, observational cohort study that involved tertiary referral from Italian hospitals. For this study, between January 2010 and December 2020, only those patients treated by EVAR for non-infected sl-AA, namely blister/ulcer like projection and/or penetrating aortic ulcer, were analysed. Primary outcomes of interest were overall survival and freedom from aorta related mortality (ARM). Results: The final cohort included 120 of 3 982 eligible aortic lesions. There were 103 (85.8%) males and 17 (14.2%) females. The median age was 76 years (interquartile range [IQR] 69, 80). Rupture on admission was observed in 10 (8.3%) cases. Early (≤ 30 days) death occurred in two (1.7%) patients. There were five (4.2%) complications requiring surgical re-intervention (iliac limb occlusion n = 4; groin haematoma, n = 1). The median duration of follow up was 20 months (IQR 4, 59.5): the estimated overall survival was 85.5% (standard error [SE] 0.035; 95% confidence interval [CI] 77.3 – 91.1) at 12 months, 78.7% (SE 0.044; 95% CI 69.0 – 86.0) at 36 months, and 74% (SE 0.050; 95% CI 63.2 – 82.5) at 60 months. Only one (0.8%) patient required aortic re-intervention during follow up because of a late endograft infection. The estimated freedom from ARM was 96% (SE 0.050; 95% CI 90.3 – 98.2) at 36 and 60 months. Cox's regression analysis identified that death was associated with age > 70 years (hazard ratio [HR] 1.10; 95% CI 1.04 – 1.17, p = .001), and coronary artery disease (HR 1.14; 95% CI 1.04 – 1.26, p = .006). Conclusion: EVAR for sl-AA proved to be safe and effective. The mortality rate was low for a group of patients known to be at high risk from open repair, and EVAR remained stable with no ARM during midterm follow up, and an acceptably low 0.8% endograft related re-intervention rate

Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study

International audienceObjectives: To evaluate the role of clinical scores assessing the risk of disease severity in patients with clinical suspicion of obstructive sleep apnea syndrome (OSA). The hypothesis was tested by applying artificial intelligence (AI) to demonstrate its effectiveness in distinguishing between mild–moderate OSA and severe OSA risk. Methods: A support vector machine model (SVM) was developed from the samples included in the analysis (N = 498), and they were split into 75% for training (N = 373) with the remaining for testing (N = 125). Two diagnostic thresholds were selected for OSA severity: mild to moderate (apnea–hypopnea index (AHI) ≥ 5 events/h and AHI < 30 events/h) and severe (AHI ≥ 30 events/h). The algorithms were trained and tested to predict OSA patient severity. Results: The sensitivity and specificity for the SVM model were 0.93 and 0.80 with an accuracy of 0.86; instead, the logistic regression full mode reported a value of 0.74 and 0.63, respectively, with an accuracy of 0.68. After backward stepwise elimination for features selection, the reduced logistic regression model demonstrated a sensitivity and specificity of 0.79 and 0.56, respectively, and an accuracy of 0.67. Conclusion: Artificial intelligence could be applied to patients with symptoms related to OSA to identify individuals with a severe OSA risk with clinical-based algorithms in the OSA framework