Publications by authors named "A K Pennisi"
Background: Despite the effectiveness of inhalation therapy, uncontrolled or severe asthma remains prevalent challenges in respiratory care Narrative Medicine (NM) offers a linguistic approach to comprehending illness experiences, thereby providing a framework for advancing healthcare.
Aim: The primary aim of this study was to gather narratives from individuals grappling with severe or uncontrolled asthma and their Healthcare Professionals (HCPs), in order to explore the intricate interplay among quality of care, quality of life, psychological and social determinants, and adherence patterns.
Methods: A cross-sectional NM study was conducted in Italy from February to December 2023, encompassing 135 patients with uncontrolled or severe asthma (54.
Objective: The objective of this study was to evaluate the implementation of NGS within the French mitochondrial network, MitoDiag, from targeted gene panels to whole exome sequencing (WES) or whole genome sequencing (WGS) focusing on mitochondrial nuclear-encoded genes.
Methods: Over 2000 patients suspected of Primary Mitochondrial Diseases (PMD) were sequenced by either targeted gene panels, WES or WGS within MitoDiag. We described the clinical, biochemical, and molecular data of 397 genetically confirmed patients, comprising 294 children and 103 adults, carrying pathogenic or likely pathogenic variants in nuclear-encoded genes.
Article Synopsis
- The TRITRIAL study evaluated the fixed combination of beclometasone dipropionate/formoterol fumarate/glycopyrronium (BDP/FF/G) in patients with chronic obstructive pulmonary disease (COPD), focusing on patient-reported outcomes over 12 months.
- In a multicenter, prospective observational study with 655 patients, significant improvements were observed in health status (CAT scores), adherence to medication, quality of life, and sleep quality.
- The findings suggest that BDP/FF/G not only enhances the management of moderate-severe COPD but also improves overall patient well-being and reduces exacerbation rates.
Background: Advancements in machine learning (ML) have improved the accuracy of models that predict human immunodeficiency virus (HIV) incidence. These models have used electronic medical records and registries. We aim to broaden the application of these tools by using deidentified public health datasets for notifiable sexually transmitted infections (STIs) from a southern US county known for high HIV incidence.
View Article and Find Full Text PDFIntroduction: Body integrity dysphoria (BID) is a rare condition in which individuals experience a long-lasting desire to achieve a specific physical disability. In this study, we tested the hypothesis of interoceptive and affective abnormalities in BID, in line with the evidence of structural and functional alteration of the interoceptive-affective neural system in these individuals.
Method: Our study involved 68 participants with BID (mean age: 35.