Introduction And Aims: The term "craniomandibular disorder" is used to describe a series of symptoms and signs that directly affect the stomatognathic apparatus with possible repercussions on the otovestibular and oculomotor apparatus and on the cervical spine that may condition the entire body posture. The aim of this study was to evaluate a series of parameters correlated to the occlusal situation and to verify how these factors are affected by a change following the correction of occulusal ratios.
Methods: The paper reports a series of 15 patients suffering from facial dysmorphia treated surgically in the Division of Maxillofacial Surgery of S. Giovanni Battista Hospital in Turin in which an evaluation was made of posture and symptoms linked to craniomandibular disorders before surgery and six months after. At the preoperative evaluation a high incidence of this type of symptoms and signs was observed, and in particular a high percentage of patients with postural imbalance and asymmetry of the frontal body segments.
Results And Conclusions: From the results obtained it emerges that the surgical re-adaptation of occlusion is followed by esthetic improvement and also by a good recovery of frontal postural symmetry in conformity with the reduced frequency and intensity of symptoms classified as craniomandibular disorders.
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J Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
JMIR Form Res
January 2025
Department of Computer Science, University Hospital of Geneva, Geneva, Switzerland.
Background: Mobile health apps have shown promising results in improving self-management of several chronic diseases in patients. We have developed a mobile health app (Cardiomeds) dedicated to patients with heart failure (HF). This app includes an interactive medication list; daily self-monitoring of symptoms, weight, blood pressure, and heart rate; and educational information on HF delivered through various formats.
View Article and Find Full Text PDFNeurosurgery
February 2025
Global Neurosciences Institute, Philadelphia , Pennsylvania , USA.
Background And Objectives: Despite growing interest in how patient frailty affects outcomes (eg, in neuro-oncology), its role after transsphenoidal surgery for Cushing disease (CD) remains unclear. We evaluated the effect of frailty on CD outcomes using the Registry of Adenomas of the Pituitary and Related Disorders (RAPID) data set from a collaboration of US academic pituitary centers.
Methods: Data on consecutive surgically treated patients with CD (2011-2023) were compiled using the 11-factor modified frailty index.
Medicine (Baltimore)
November 2024
Department of Cardiology, Rabta Teaching Hospital, University of Medicine Tunis, Tunis, Tunisia.
Little is known about the effects of sodium-glucose co-transporter 2 inhibitors (SGLT2i) on atherosclerosis. We aimed to determine if a 90-day intake of Dapagliflozin could improve atherosclerosis biomarkers (namely endothelial function assessed by flow-mediated dilatation [FMD] and carotid intima-media thickness [CIMT]) in diabetic and non-diabetic acute coronary syndrome (ACS) patients when initiated in the early in-hospital phase. ATH-SGLT2i was a prospective, single-center, observational trial that included 113 SGLT2i naive patients who were admitted for ACS and who were prescribed Dapagliflozin at a fixed dose of 10 mg during their hospital stay for either type 2 diabetes or for heart failure.
View Article and Find Full Text PDFJAMA Cardiol
January 2025
Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois.
Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).
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