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5 results on '"Henry Paridaens"'

1. Multicenter Evaluation of the Idylla GeneFusion in Non-Small-Cell Lung Cancer

Author

Thomas Depoilly, Simon Garinet, Léon C. van Kempen, Ed Schuuring, Sergi Clavé, Beatriz Bellosillo, Cristiana Ercolani, Simonetta Buglioni, Janna Siemanowski, Sabine Merkelbach-Bruse, Verena Tischler, Melanie-Christin Demes, Henry Paridaens, Catherine Sibille, Vincent Thomas de Montpreville, Etienne Rouleau, Artur Bartczak, Monika Pasieka-Lis, Ryan Yee Wei Teo, Khoon Leong Chuah, Marta Barbosa, Carlos Quintana, Michele Biscuola, Mercedes Delgado-Garcia, Davide Vacirca, Alessandra Rappa, Matthew Cashmore, Matthew Smith, Piotr Jasionowicz, Adam Meeney, Patrice Desmeules, Benoit Terris, Audrey Mansuet-Lupo, Targeted Gynaecologic Oncology (TARGON), and Damage and Repair in Cancer Development and Cancer Treatment (DARE)

Subjects
Lung Neoplasms, Carcinoma, Non-Small-Cell Lung, Proto-Oncogene Proteins, Mutation, Molecular Medicine, Humans, Receptor Protein-Tyrosine Kinases, Protein-Tyrosine Kinases, In Situ Hybridization, Fluorescence, Pathology and Forensic Medicine, Retrospective Studies
Abstract

Targeted therapy in lung cancer requires the assessment of multiple oncogenic driver alterations, including fusion genes. This retrospective study evaluated the Idylla GeneFusion prototype, an automated and ease-of-use (

Published
2022

2. Nationwide Harmonization Effort for Semi-Quantitative Reporting of SARS-CoV-2 PCR Test Results in Belgium

Author

Lize Cuypers, Jannes Bode, Kurt Beuselinck, Lies Laenen, Klaas Dewaele, Reile Janssen, Arnaud Capron, Yves Lafort, Henry Paridaens, Bertrand Bearzatto, Mathieu Cauchie, Aline Huwart, Jonathan Degosserie, Olivier Fagnart, Yarah Overmeire, Arlette Rouffiange, Ilse Vandecandelaere, Marine Deffontaine, Thomas Pilate, Nicolas Yin, Isabel Micalessi, Sandrine Roisin, Veronique Moons, Marijke Reynders, Sophia Steyaert, Coralie Henin, Elena Lazarova, Dagmar Obbels, François E. Dufrasne, Hendri Pirenne, Raf Schepers, Anaëlle Collin, Bruno Verhasselt, Laurent Gillet, Stijn Jonckheere, Philippe Van Lint, Bea Van den Poel, Yolien Van der Beken, Violeta Stojkovic, Maria-Grazia Garrino, Hannah Segers, Kevin Vos, Maaike Godefroid, Valerie Pede, Friedel Nollet, Vincent Claes, Inge Verschraegen, Pierre Bogaerts, Marjan Van Gysel, Judith Leurs, Veroniek Saegeman, Oriane Soetens, Merijn Vanhee, Gilberte Schiettekatte, Evelyne Huyghe, Steven Martens, Ann Lemmens, Heleen Nailis, Kim Laffineur, Deborah Steensels, Elke Vanlaere, Jérémie Gras, Gatien Roussel, Koenraad Gijbels, Michael Boudewijns, Catherine Sion, Wim Achtergael, Wim Maurissen, Luc Iliano, Marianne Chantrenne, Geert Vanheule, Reinoud Flies, Nicolas Hougardy, Mario Berth, Vanessa Verbeke, Robin Morent, Anne Vankeerberghen, Sébastien Bontems, Kaat Kehoe, Anneleen Schallier, Giang Ho, Kristof Bafort, Marijke Raymaekers, Yolande Pypen, Amelie Heinrichs, Wim Schuermans, Dominique Cuigniez, Salah Eddine Lali, Stefanie Drieghe, Dieter Ory, Marie Le Mercier, Kristel Van Laethem, Inge Thoelen, Sarah Vandamme, Iqbal Mansoor, Carl Vael, Maxime De Sloovere, Katrien Declerck, Elisabeth Dequeker, Stefanie Desmet, Piet Maes, Katrien Lagrou, Emmanuel André, Dufrasne, Francois/0000-0001-6288-7936, Yin, Nicolas/0000-0003-1706-6869, Van Laethem, Kristel/0000-0001-6036-2271, Micalessi, Isabel, Ory , Dieter, Dequeker, Elisabeth, CLAES , Vincent, Verhasselt, Bruno, Moons, Veronique, Soetens, Oriane, Godefroid, Maaike, Verschraegen, Inge, Pirenne, Hendri, Gillet, Laurent, Heinrichs, Amelie, Huwart, Aline, Vanhee, Merijn, Vandamme, Sarah, Maurissen, Wim, Laenen , Lies, Reynders , Marijke, Thoelen, Inge, Gras, Jeremie, Berth, Mario, Obbels, Dagmar, Vanheule, Geert, Maes, Piet, Bafort, Kristof, Flies, Reinoud, Janssen, Reile, van den Poel, Bea, Bontems, Sebastien, Schepers , Raf, Overmeire, Yarah, Boudewijns, Michael, van der Beken, Yolien, Cuypers , Lize, Bode, Jannes, Vos, Kevin, Paridaens, Henry, Achtergael, Wim, Saegeman, Veroniek, Rouffiange, Arlette, Dewaele, Klaas, Pypen, Yolande, Yin, Nicolas, Drieghe, Stefanie, Nailis, Heleen, Kehoe, Kaat, DE SMET, Stefanie, Verbeke, Vanessa, Vanlaere, Elke, Vael, Carl, Van Laethem, Kristel, Segers, Hannah, Pede, Valerie, Deffontaine, Marine, Martens , Steven, Lemmens, Ann, Vankeerberghen, Anne, Lagrou, Katrien, Iliano, Luc, Chantrenne, Marianne, Laffineur, Kim, Bearzatto, Bertrand, Vandecandelaere, Ilse, Sion, Catherine, Andre, Emmanuel, Cuigniez, Dominique, Pilate, Thomas, Capron, Arnaud, Nollet, Friedel, Roisin, Sandrine, Gijbels, Koenraad, Van Lint, Philippe, Bogaerts, Pierre, Lafort, Yves, Henin, Coralie, Van Gysel, Marjan, Huyghe, Evelyne, Lali, Salah Eddine, Roussel, Gatien, Garrino, Maria-Grazia, Schuermans, Wim, Steyaert, Sophia, Le Mercier, Marie, De Sloovere, Maxime, Leurs, Judith, STEENSELS, Deborah, Declerck, Katrien, Dufrasne, Francois E., Fagnart, Olivier, Ho, Giang, Lazarova, Elena, Schallier, Anneleen, Beuselinck, Kurt, Morent, Robin, Hougardy, Nicolas, Raymaekers, Marijke, Jonckheere, Stijn, Stojkovic, Violeta, Degosserie, Jonathan, Cauchie, Mathieu, Schiettekatte, Gilberte, Collin, Anaelle, Mansoor, Iqbal, Faculty of Economic and Social Sciences and Solvay Business School, Faculty of Medicine and Pharmacy, Supporting clinical sciences, Microbiology and Infection Control, Clinical Biology, Experimental Pharmacology, Department of Clinical Microbiology, Faculty of Psychology and Educational Sciences, UCL - (MGD) Laboratoire de biologie clinique, and UCL - SSS/IREC/MONT - Pôle Mont Godinne

Subjects
SARS-CoV-2, PCR, semi-quantitative reporting, RNA copies/mL, infectivity, COVID-19/diagnosis, COVID-19, Real-Time Polymerase Chain Reaction, mL, Infectious Diseases, Belgium, SARS-CoV-2/genetics, Virology, Humans, RNA copies, Human medicine, Belgium/epidemiology, Pandemics
Abstract

From early 2020, a high demand for SARS-CoV-2 tests was driven by several testing indications, including asymptomatic cases, resulting in the massive roll-out of PCR assays to combat the pandemic. Considering the dynamic of viral shedding during the course of infection, the demand to report cycle threshold (Ct) values rapidly emerged. As Ct values can be affected by a number of factors, we considered that harmonization of semi-quantitative PCR results across laboratories would avoid potential divergent interpretations, particularly in the absence of clinical or serological information. A proposal to harmonize reporting of test results was drafted by the National Reference Centre (NRC) UZ/KU Leuven, distinguishing four categories of positivity based on RNA copies/mL. Pre-quantified control material was shipped to 124 laboratories with instructions to setup a standard curve to define thresholds per assay. For each assay, the mean Ct value and corresponding standard deviation was calculated per target gene, for the three concentrations (10(7), 10(5) and 10(3) copies/mL) that determine the classification. The results of 17 assays are summarized. This harmonization effort allowed to ensure that all Belgian laboratories would report positive PCR results in the same semi-quantitative manner to clinicians and to the national database which feeds contact tracing interventions. UZ/KU Leuven: as National Reference Center for Respiratory Pathogens, is supported by Sciensano, which is gratefully acknowledged. We would like to acknowledge additional staff members of the participating laboratories that contributed to this study: Jean-Luc Gala, Benoit Kabamba, Elsa Wiam, Valentin Coste, Paul Blanpain, Jean Ruelle, Ari Serbetciyan, Nicolas Pinte, Ophélie Simon and the entire UCLouvain federal testing platform COVID-19 team (all affiliation 4), Aurore Demars (affiliation 7), Laura Vanden Daele (affiliation 9), Hanne Valgaeren (affiliation 22), Guillaume Bayon-Vicente (affiliation 23), Fabrice Bureau, Claire Gourzonès and Joey Schyns (affiliation 28), Stéphanie Evrard (affiliation 42), Clara Ceyssens (affiliation 58), Jorn Hellemans (affiliation 77), Bram Slechten (affiliation 86) and the entire team of the laboratory of microbiology of UZA (affiliation 89) and of the UZA Federal testing platform COVID-19 (affiliation 85) for their boundless dedication.

Published
2022

3. Covid-19: contribution of clinical characteristics and laboratory features for early detection of patients with high risk of severe evolution

Author

Henry Paridaens, Edith Sepulchre, Jean Marc Minon, Gentiane Haesbroek, Guillaume Pittie, Stephane Degesves, Yves Crama, Violeta Stojkovic, Sandrine Boccar, Michael Schyns, Christian Biemar, Jean Marc Senterre, and Jerôme de Marchin

Subjects
Male, medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Early detection, medicine.disease_cause, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, 030212 general & internal medicine, Pandemics, Coronavirus, Retrospective Studies, Adult patients, business.industry, SARS-CoV-2, COVID-19, Retrospective cohort study, General Medicine, humanities, 030220 oncology & carcinogenesis, business, Laboratories
Abstract

The aim of this study was to identify early clinical and laboratory predictive factors of a severe coronavirus disease 2019 (COVID-19).A retrospective study was conducted on adult patients hospitalized for COVID-19 in our hospital. Diagnosis was based on a positive real-time reverse transcription-polymerase chain reaction (RT-PCR) on nasopharyngeal samples. The cohort was divided into two groups, i.e. a favorable evolution (FE) group and an unfavorable evolution (UFE) group, including intensive care unit (ICU) and deceased patients.Results: A total of 198 patients were enrolled in the study, with 138 FE (70%) and 60 UFE (30%). Older age, male gender, comorbidities and dyspnea at admission constituted significantly worse prognosis factors. Among laboratory features, lymphocyte and platelet counts as well as corrected glomerular filtration rate were significantly lower in UFE patients, while neutrophil to lymphocyte ratio, inflammation biomarkers, creatinine, aspartate aminotransferase, lactate dehydrogenase (LDH), glycemia and D-dimer were significantly higher. Procalcitonin and LDH appeared as the most accurate variables according to receiver operating characteristic curves.This Belgian study revealed clinical and laboratory features able to predict high risk of ICU requirement, or even death, at admission time. These results provide a potential tool for patient's triage in a context of pandemic.

Published
2020

4. Pre-eclampsia: overview on the role of biomarkers in 2016

Author

Henry Paridaens and Damien Gruson

Subjects
medicine.medical_specialty, Preeclampsia, 03 medical and health sciences, 0302 clinical medicine, Pre-Eclampsia, Pregnancy, Risk Factors, Medicine, Humans, Medical history, Intensive care medicine, 030219 obstetrics & reproductive medicine, Eclampsia, business.industry, Pregnancy Outcome, General Medicine, medicine.disease, Prognosis, Combined approach, Perinatal morbidity, 030220 oncology & carcinogenesis, Risk stratification, Female, Disease Susceptibility, business, Biomarkers
Abstract

Preeclampsia which affects approximatively 2% of pregnancies is a major cause of maternal and perinatal morbidity and mortality. Pathogenesis of pre-eclampsia is nowadays increasingly understood. It implies multiple actors and biomarkers appear to be playing a major role. New uses of those biomarkers for risk stratification and diagnosis of predisposed preeclamptic patients followed by obstetricians is an hot topic. The combined approach of biomarkers, medical history and obstetrical ultrasounds enables risk estimation in the first quarter and later on. A better understanding of this risk would enable better monitoring of obstetrical patients and reduce the occurrence of adverse complications for them and for the fetal well-being.

Published
2017

5. Massive interference in free T4 and free T3 assays misleading clinical judgment

Author

Dominique Maiter, Nathalie Pirson, Damien Gruson, Henry Paridaens, and Julien Favresse

Subjects
Adult, 030213 general clinical medicine, Luminescent Measurements, Clinical Biochemistry, MEDLINE, Thyrotropin, 030209 endocrinology & metabolism, Thyroid Function Tests, Bioinformatics, 03 medical and health sciences, 0302 clinical medicine, Interference (communication), Humans, Medicine, Immunoassay, medicine.diagnostic_test, business.industry, Biochemistry (medical), General Medicine, Clinical judgment, Thyroxine, Triiodothyronine, Female, Reagent Kits, Diagnostic, business
Published
2017
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