An ecological comparison to inspect the aftermath of post COVID-19 condition in Italy and the United States.

Post COVID-19 Condition (PCC) is a clinical syndrome following COVID-19 disease. PCC symptoms in adults entail significant productivity loss and reduced quality of life. This study aimed at estimating the epidemiological and economic burden of PCC among the working-age population of Italy and the US.

Pediatric post COVID-19 condition: an umbrella review of the most common symptoms and associated factors.

Background: Although the long-term consequences of the Coronavirus Disease-2019 (COVID-19) pandemic are yet to be fully comprehended, a syndrome symptomatically akin to the COVID-19 disease has been defined, for children and adolescents, in February 2023 by the World Health Organization (WHO) as 'post COVID-19 condition' (PCC). Potential consequences of COVID-19 that affect developmental milestones in children and adolescents should be comprehended in their magnitude and duration. The aim is to investigate the most common symptoms and predictors or risk factors for pediatric PCC.

Cost-Effectiveness of Whole-Genome vs Whole-Exome Sequencing Among Children With Suspected Genetic Disorders.

Importance: The diagnosis of rare diseases and other genetic conditions can be daunting due to vague or poorly defined clinical features that are not recognized even by experienced clinicians. Next-generation sequencing technologies, such as whole-genome sequencing (WGS) and whole-exome sequencing (WES), have greatly enhanced the diagnosis of genetic diseases by expanding the ability to sequence a large part of the genome, rendering a cost-effectiveness comparison between them necessary.

Objective: To assess the cost-effectiveness of WGS compared with WES and conventional testing in children with suspected genetic disorders.

Knowledge, experiences, and perceptions relating to obesity management among primary care physicians in the Lazio Region, Italy.

Background: Primary care providers (PCPs) play an essential role in obesity care as they represent the first contact for patients seeking weight loss interventions.

Objective: This study explored the knowledge, experiences, and perceptions of PCPs in the Lazio Region of Italy in the management of obesity.

Design And Subjects: We conducted an anonymous survey delivered from March to July 2022 via the newsletter of Rome Provincial Order of Physicians and Dentists and at the annual meeting of the regional section of the Italian Obesity Society.

Bayesian cost-effectiveness analysis of Whole genome sequencing versus Whole exome sequencing in a pediatric population with suspected genetic disorders.

Genetic diseases are medical conditions caused by sequence or structural changes in an individual's genome. Whole exome sequencing (WES) and whole genome sequencing (WGS) are increasingly used for diagnosing suspected genetic conditions in children to reduce the diagnostic delay and accelerating the implementation of appropriate treatments. While more information is becoming available on clinical efficacy and economic sustainability of WES, the broad implementation of WGS is still hindered by higher complexity and economic issues.

Organizational Aspects of the Implementation and Use of Whole Genome Sequencing and Whole Exome Sequencing in the Pediatric Population in Italy: Results of a Survey.

This study explores the organizational aspects of whole genome sequencing (WGS) implementation for pediatric patients with suspected genetic disorders in Italy, comparing it with whole exome sequencing (WES). Health professionals' opinions were collected through an internet-based survey and analyzed using a qualitative summative content analysis methodology. Among the 16 respondents, most were clinical geneticists performing only WES, while 5 also used WGS.

Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review.

Objectives: The aim of this study is to investigate the effect of artificial intelligence (AI) and/or algorithms on drug management in primary care settings comparing AI and/or algorithms with standard clinical practice. Second, we evaluated what is the most frequently reported type of medication error and the most used AI machine type.

Methods: A systematic review of literature was conducted querying PubMed, Cochrane and ISI Web of Science until November 2021.