Publications by authors named "Polidori L"

Article Synopsis
  • Large variability exists in how people respond to foods, prompting a study comparing a personalized dietary program (PDP) to standard dietary advice on health outcomes.
  • The PDP tailored food choices based on individual health data, while the control group received general dietary guidelines.
  • Results showed the PDP led to significant reductions in triglycerides and improvements in various secondary health markers, with no serious adverse events reported, suggesting personalized diets may benefit cardiometabolic health.
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Background: Several earlier studies showed a female predominance in idiopathic adult-onset dystonia (IAOD) affecting the craniocervical area and a male preponderance in limb dystonia. However, sex-related differences may result from bias inherent to study design. Moreover, information is lacking on whether sex-related differences exist in expressing other dystonia-associated features and dystonia spread.

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Background: This study aims to evaluate the strength of the association between frailty and intraoperative/postoperative complications in patients undergoing minimally invasive surgery (MIS) for endometrial cancer.

Methods: In this retrospective observational multicenter cohort study, frailty was defined beforehand by a modified frailty index (mFI) score of ≥3. Multiple logistic regressions were performed to investigate possible preoperative predictors-including frailty, age, and body mass index-of intraoperative and early (within 30 days from surgery) or delayed (beyond 30 days from surgery) postoperative complications.

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Background: Booster COVID-19 vaccines have shown efficacy in clinical trials and effectiveness in real-world data against symptomatic and severe illness. However, some people still become infected with SARS-CoV-2 following a third (booster) vaccination. This study describes the characteristics of SARS-CoV-2 illness following a third vaccination and assesses the risk of progression to symptomatic disease in SARS-CoV-2 infected individuals with time since vaccination.

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Traditional medicine and biomedical sciences are reaching a turning point because of the constantly growing impact and volume of Big Data. Machine Learning (ML) techniques and related algorithms play a central role as diagnostic, prognostic, and decision-making tools in this field. Another promising area becoming part of everyday clinical practice is personalized therapy and pharmacogenomics.

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Article Synopsis
  • During the COVID-19 pandemic, self-reported symptom studies helped to understand long-term effects of the virus, particularly the diverse symptoms of post-COVID-19 condition, which require specific categorization for better personalized care.
  • The research involved analyzing data from UK adults who provided health reports via a smartphone app, focusing on individuals who experienced long COVID after initially feeling healthy for 30 days post-infection.
  • The study identified unique symptom profiles based on vaccination status and viral variants, ultimately including over 9,800 participants, with findings significant enough to provide insights for unvaccinated individuals infected with the wild-type and alpha variants and vaccinated individuals with the delta variant.
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Unlabelled: Study objective To assess the effects of a protective ventilation strategy during Trendelenburg pneumoperitoneum surgery on postoperative oxygenation.

Designs: Parallel-group, randomized trial.

Setting: Operating room of a university hospital, Italy.

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Falls are common in patients with neurological diseases and can be very problematic. Recently, there has been an increase in fall prevention research in people with neurological diseases; however, these studies are usually condition-specific (e.g.

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Bipolar Disorder (BD) and Attention Deficit and Hyperactivity Disorder (ADHD) are mental disorders with high degree of lifetime comorbidity. Both BD and ADHD are disorders with onset in childhood and early adolescence. Both disorders are often undiagnosed, misdiagnosed, and sometimes overdiagnosed, leading to high rates of morbidity and disability.

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Background: We aimed to explore the effectiveness of one-dose BNT162b2 vaccination upon SARS-CoV-2 infection, its effect on COVID-19 presentation, and post-vaccination symptoms in children and adolescents (CA) in the UK during periods of Delta and Omicron variant predominance.

Methods: In this prospective longitudinal cohort study, we analysed data from 115,775 CA aged 12-17 years, proxy-reported through the Covid Symptom Study (CSS) smartphone application. We calculated post-vaccination infection risk after one dose of BNT162b2, and described the illness profile of CA with post-vaccination SARS-CoV-2 infection, compared to unvaccinated CA, and post-vaccination side-effects.

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Purpose: To establish whether a slow or a rapid withdrawal of antiepileptic monotherapy influences relapse rate in seizure-free adults with epilepsy and calculates compliance and differences in the severity of relapses, based on the occurrence of status epilepticus, seizure-related injuries, and death.

Methods: This is a multicentre, prospective, randomized, open label, non-inferiority trial in people aged 16 + years who were seizure-free for more than 2 years. Patients were randomized to slow withdrawal (160 days) or rapid withdrawal (60 days) and were followed for 12 months.

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Background: With the surge of new SARS-CoV-2 variants, countries have begun offering COVID-19 vaccine booster doses to high-risk groups and, more recently, to the adult population in general. However, uncertainty remains over how long primary vaccination series remain effective, the ideal timing for booster doses, and the safety of heterologous booster regimens. We aimed to investigate COVID-19 primary vaccine series effectiveness and its waning, and the safety and effectiveness of booster doses, in a UK community setting.

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Background: The SARS-CoV-2 variant of concern, omicron, appears to be less severe than delta. We aim to quantify the differences in symptom prevalence, risk of hospital admission, and symptom duration among the vaccinated population.

Methods: In this prospective longitudinal observational study, we collected data from participants who were self-reporting test results and symptoms in the ZOE COVID app (previously known as the COVID Symptoms Study App).

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Falling is a frequent and major clinical problem among older adults, as well as in patients with chronic cerebrovascular diseases (CVD). At present, sequential (mixed) and simultaneously (dual-task) motor-cognitive trainings are the best approaches to affording patients more autonomy in their everyday motor independence while reducing fall risks and consequences. The objective of this study was to evaluate the efficacy of an advanced and innovative dual-task motor-cognitive rehabilitation program on fall risks in vulnerable older persons with chronic CVD.

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A 74-years-old man experienced severe diplopia one month after recovery from an uncomplicated SARS-CoV-2 infection. Neurological examination was normal whereas ophthalmological examination showed bilateral exophthalmos with a complex ocular motility disorder characterized by a pseudo-internuclear ophthalmoplegia after fatigue associated to impairment of elevation and infraduction. Antibodies against TSH and acetylcholine receptors were positive; subsequent hormonal tests, ultrasonography of thyroid gland, single fiber electromyography and orbit MRI confirmed the diagnosis of concomitant Graves Disease (GD) and Myasthenia Gravis (MG).

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Worldwide, racial and ethnic minorities have been disproportionately impacted by COVID-19 with increased risk of infection, its related complications, and death. In the initial phase of population-based vaccination in the United States (U.S.

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Article Synopsis
  • - The study investigates post-vaccination symptoms in individuals vaccinated with either the Pfizer-BioNTech or Oxford-AstraZeneca vaccines to identify differences between vaccination side effects and COVID-19 symptoms using data from over a million UK participants.
  • - Researchers found it difficult to distinguish between vaccine-related side effects and early symptoms of COVID-19, with a maximum identification sensitivity of only 0.6 for positive cases, highlighting that many symptomatic individuals did not exhibit classic COVID-19 symptoms like fever or cough.
  • - The results indicate that common post-vaccination symptoms, such as headache and fatigue, overlap significantly with COVID-19 symptoms, complicating the process of diagnosing SARS-CoV-2 in vaccinated individuals.
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Article Synopsis
  • This study investigates the factors that lead to COVID-19 infection in individuals who have already been vaccinated, focusing on both the demographic characteristics and health backgrounds of those affected.
  • The research involved a community-based analysis using data from UK adults who reported their experiences through a mobile app, with specific criteria for identifying cases and controls based on their vaccination status and test results.
  • Final findings aim to provide insights into post-vaccination illness profiles, enhancing understanding of vaccine effectiveness and potential areas for improved public health strategies.
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Introduction: Secure attachment in adolescence, related to caregiving quality, is a robust predictor of positive behavioral adjustment in early adulthood and beyond. Nevertheless, few attempts have been made to develop treatments to promote parent-adolescent attachment security.

Methods: Using a longitudinal, multicenter, randomized controlled trial design, two questionnaire-based studies were run in Italy (Study 1: n = 100 mothers of adolescents, 60% boys, M = 14.

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Article Synopsis
  • A study was conducted to improve early detection of SARS-CoV-2 infection by using self-reported symptoms during the COVID-19 pandemic, focusing on initial symptoms rather than peak symptoms.
  • The study analyzed data from over 198,000 participants, using different models (including a custom hierarchical Gaussian process model) to assess the relationship between reported symptoms and positive COVID-19 test results.
  • Findings indicated that the hierarchical Gaussian process model outperformed others in predicting COVID-19 positivity, achieving an area under the curve (AUC) of 0.80, which supports its effectiveness for early detection.
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This study aims at building an ITS gene dataset to support the Italian Health Service in mushroom identification. The target species were selected among those mostly involved in regional (Tuscany) poisoning cases. For each target species, all the ITS sequences already deposited in GenBank and BOLD databases were retrieved and accurately assessed for quality and reliability by a systematic filtering process.

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