Publications by authors named "L Grammatico-Guillon"

Objectives: The first COVID-19 lockdown raised concerns about reduced access to primary care, especially for people with chronic diseases particularly at risk in the absence of follow-up. However, the COVIQuest trial, evaluating the impact of a general practitioner (GP) phone call (intervention) to chronic patients with cardiovascular disease (CVD) or mental health disorder (MHD) concluded that the intervention had no effect at 1 month on the rate of self-reported hospitalisations in the CVD subtrial, whereas the intervention group in MHD subtrial might have a higher rate. This second part of the study aimed to describe the 6 month hospitalisation and specialised consultation rates, using the French health data system ().

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Background: Total hip, knee and shoulder arthroplasties (THKSA) are increasing due to expanding demands in ageing population. Material surveillance is important to prevent severe complications involving implantable medical devices (IMD) by taking appropriate preventive measures. Automating the analysis of patient and IMD features could benefit physicians and public health policies, allowing early issue detection and decision support.

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Background And Objective: Prostate cancer (PCa) was the leading incident cancer and 3rd leading cause of cancer death in men in France in 2015 with inter-regional disparities. The objectives were to describe PCa incidence and mortality in France and by region, using real life data from the National Health Data System and to identify the factors associated with all-cause or PCa-specific mortality.

Methods: Men aged ≥ 18years hospitalized and/or on long-term care for PCa (ICD-10 code C61) in France between 2010 and 2021 were included.

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Article Synopsis
  • * A total of 7,943 adult patients were identified, showing a prevalence of 10.4 cases per 100,000 and an annual incidence of 0.76 per 100,000, with complications such as hypertension, sleep apnea, and diabetes being commonly reported.
  • * Findings indicate that diabetes significantly increases the risk for other serious health issues like myocardial infarction and cancer, emphasizing the need for comprehensive treatment approaches which include pituitary surgery and radiotherapy.
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Article Synopsis
  • Electronic health data for implantable medical devices (IMD) allows real-time monitoring of risks, especially as joint surgeries like hip and knee replacements increase due to an aging population.
  • A machine learning tool utilizing natural language processing (NLP) was created to automatically extract and analyze operation details from orthopedic medical reports, achieving excellent precision (97.0%) and recall (96.0%).
  • By automating data extraction and monitoring of orthopedic devices through clinical data warehouses, the tool aims to enhance patient safety, support surgeons and policymakers with actionable insights, and improve compliance in medical reporting.
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