Publications by authors named "Jannot A"

This paper introduces a prognostic method called FLASH that addresses the problem of joint modeling of longitudinal data and censored durations when a large number of both longitudinal and time-independent features are available. In the literature, standard joint models are either of the shared random effect or joint latent class type. Combining ideas from both worlds and using appropriate regularization techniques, we define a new model with the ability to automatically identify significant prognostic longitudinal features in a high-dimensional context, which is of increasing importance in many areas such as personalized medicine or churn prediction.

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Background: Suboptimal treatment delays is known to impact prognosis of patients with cancer but optimal timing in specific subgroups remains poorly studied. This study aimed to analyze treatment delays in young women treated for a breast cancer (BC) on and its impact on their prognosis using French Nationwide Data.

Methods: Using the CAREPAT-YBC Cohort based on the French National Healthcare System Database, we analyzed disease-free survival (DFS) in 22,093 young women (18-45 years) who underwent either surgery-chemotherapy-radiotherapy pathway (adjuvant setting, 15,433 patients) or chemotherapy-surgery-radiotherapy pathway (neoadjuvant setting, 6660 patients), according to delays between the different pathways.

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Background: Limited data are available on long-term respiratory disabilities in patients following acute COVID-19.

Patients And Methods: This prospective, monocentric, observational cohort study included patients admitted to our hospital with acute COVID-19 between 12 March and 24 April 2020. Clinical, functional and radiological data were collected up to 28 months after hospital discharge.

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Background/aim: We aimed to assess gastrointestinal cancers risks in a large cohort of individuals with primary antibody deficiency (PAD) and their association with risk of autoimmune and inflammatory gastrointestinal diseases.

Methods: Investigating a French national database of inpatient admissions between 2010 and 2018, we identified 12,748 patients with PAD and 38,244 control non-exposed individuals. We performed multiple exposed-non-exposed studies using conditional logistic regression.

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Article Synopsis
  • Rare syndromes like lipodystrophy and insulin resistance have varied symptoms, making early detection and treatment crucial to prevent complications.
  • A study analyzed 292 patients with these syndromes, focusing on their age at referral and the time taken from the first symptoms to diagnosis and specialized care, with notable variances among different conditions.
  • Findings showed a median age of 47.6 years at referral, with significant diagnostic delays, particularly in women with Familial Partial Lipodystrophy, who experienced symptoms much earlier but faced prolonged times to diagnosis.
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  • * The OLECOEUR study involved screening 1,506 severely obese patients using brain natriuretic peptide (BNP) measurements to identify signs of HF.
  • * Results indicated that patients with BNP levels ≥35 pg/mL exhibited significant heart remodeling changes, showing both left and right heart complications, highlighting the need for careful HF screening in obese individuals.
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Purpose: The purpose of this study was to evaluate the capabilities of multiparametric magnetic resonance imaging (MRI) in differentiating between lipid-poor adrenal adenoma (LPAA) and adrenocortical carcinoma (ACC).

Materials And Methods: Patients of two centers who underwent surgical resection of LPAA or ACC after multiparametric MRI were retrospectively included. A training cohort was used to build a diagnostic algorithm obtained through recursive partitioning based on multiparametric MRI variables, including apparent diffusion coefficient and chemical shift signal ratio (i.

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Background: Cystinuria is associated with a high prevalence of chronic kidney disease (CKD). We previously described a urinary inflammatory-protein signature (UIS), including 38 upregulated proteins, in cystinuric patients (Cys-patients), compared with healthy controls (HC). This UIS was higher in Cys-patients with CKD.

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Background: In European Union countries, any disease affecting less than 5 people in 10,000 is considered rare. As expertise is scarce and rare diseases (RD) are complex, RD patients can remain undiagnosed for many years. The period of searching for a diagnosis, called diagnostic delay, sometimes leads to a diagnostic dead end when the patient's disease is impossible to diagnose after undergoing all available investigations.

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Purpose: Abdominal aorta calcium (AAC) burden and dilatation are associated with an increased risk of mortality. The purpose of this study was to investigate determinants of AAC and abdominal aorta size in patients with essential hypertension.

Materials And Methods: Patients with uncomplicated essential hypertension who had undergone non-enhanced abdominal CT to rule out secondary hypertension in addition to biological test were recruited between 2010 and 2018.

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Article Synopsis
  • The study investigates the optimal daily dose of clindamycin for patients undergoing treatment for bone-and-joint infections when used in combination with rifampicin through continuous infusion.
  • A population pharmacokinetic model was developed, and Monte Carlo simulations were performed to determine effective dosing regimens, revealing that a minimum dose of 4200 mg/24h achieves desired plasma concentrations in over 90% of patients.
  • The findings endorse high-dose continuous infusion of clindamycin alongside rifampicin, emphasizing the need for regular monitoring to adjust doses as necessary for patient safety.
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Objectives: The purpose of this study was to systematically review the statistical methods used in pharmacovigilance studies without a priori hypotheses.

Study Design And Setting: A systematic review was performed on studies published in the MEDLINE database between 2012 and 2021. The included studies were analyzed for database name and type, statistical methods, anatomical therapeutic chemical class for the studied drug(s), and SOC MedDRA classification for the studied adverse drug reaction.

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Cancer-associated thrombosis (CAT) is a common complication during cancer, with complex management due to an increased risk of both recurrence and bleeding. Bevacizumab is an effective anti-angiogenic treatment but increases the risk of bleeding and potentially the risk of venous thromboembolism (VTE). The aim of this study was to evaluate the efficacy and safety of anticoagulant therapy in patients with CAT receiving bevacizumab, according to the continuation or discontinuation of bevacizumab.

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IgA vasculitis (IgAV) is a small size vasculitis for which epidemiologic data are strikingly lacking, especially about the adult form. Additionally, the COVID-19 pandemic seems to have profoundly modified the incidence of this disease. Here, we aimed to establish some relevant epidemiological data in both pediatric and adult IgAV.

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In France, all patients followed by Rare Disease (RD) expert centers have to be registered in the National Rare Disease Registry (BNDMR). This database collects a minimum data set including diagnosis coded using the Orphanet nomenclature. Overall, 753,660 patients were recorded from 2007 to March 2022 including 493,740 with at least one rare disease diagnosis.

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Bariatric surgery (BS) is rarely performed on patients aged 70 and over, due to the fear of adverse effects, particularly related to sarcopenia. We examined the outcome of obese patients who underwent BS after the age of 69 in the French population. Operated subjects were matched with non-operated obese patients (n = 1307 in each group after matching).

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Background: Coagulopathy is one of the main triggers of severity and worsening of Coronavirus disease 2019 (COVID-19) particularly in critically ill patients. D-dimer has been widely used to detect COVID-19 coagulation disorders and has been correlated with outcomes such as disease severity and in-hospital mortality. Involvement of other fibrin degradation products, particularly fibrin monomers (FM), remains an ongoing question.

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Article Synopsis
  • The study analyzed 105 cases of acute chest syndrome (ACS) in 81 adult sickle cell disease patients over 32 months, distinguishing between early-onset (≤24 hours) and secondary episodes (>24 hours).
  • The patients had a median age of 27 years, with most having severe genotypes (S/S or S/β-thalassaemia), and many had a history of ACS; however, only 61% were on disease-modifying treatments during the episodes.
  • Common symptoms included fever (54%) and chest pain (73%), with significant clinical findings like crackles (64%); half of the episodes required blood transfusions, and the study highlights the need for reevaluation
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Context: Identifying clusters (i.e., subgroups) of patients from the analysis of medico-administrative databases is particularly important to better understand disease heterogeneity.

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Background: Preliminary data suggest that COVID-19 pandemic has generated a switch from face-to-face to remote care for individuals with chronic diseases. However, few data are available for rare and undiagnosed diseases (RUDs). We aimed to assess the impact of the COVID-19 pandemic on the activities of the French reference network for RUDs in 2020.

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