L Nkam1, J Lambert2, A Latouche3, G Bellis4, P R Burgel5, M N Hocine6. 1. Laboratoire Modélisation, Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France. Electronic address: lionelle.nkam@cnam.fr. 2. Hôpital Saint-Louis, Service de Biostatistique et Information Médicale, Assistance Publique-Hôpitaux de Paris, Paris, France. 3. Centre d'Etudes et de Recherche en Informatique et Communications, Conservatoire National des Arts et Métiers, Paris, France. 4. Institut National d'Etudes Démographiques, Paris, France. 5. Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Service de Pneumologie, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Paris, France. 6. Laboratoire Modélisation, Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France.
Abstract
BACKGROUND: Therapeutic progress in patients with cystic fibrosis (CF) has resulted in improved prognosis over the past decades. We aim to reevaluate prognostic factors of CF and provide a prognostic score to predict the risk of death or lung transplantation (LT) within a 3-year period in adult patients. METHODS: We developed a logistic model using data from the French CF Registry and combined the coefficients into a prognostic score. The discriminative abilities of the model and the prognostic score were assessed by c-statistic. The prognostic score was validated using a 10-fold cross-validation. RESULTS: The risk of death or LT within 3years was related to eight characteristics. The development and the validation provided excellent results for the prognostic score; the c-statistic was 0.91 and 0.90 respectively. CONCLUSION: The score developed to predict 3-year death or LT in adults with CF might be useful for clinicians to identify patients requiring specialized evaluation for LT.
BACKGROUND: Therapeutic progress in patients with cystic fibrosis (CF) has resulted in improved prognosis over the past decades. We aim to reevaluate prognostic factors of CF and provide a prognostic score to predict the risk of death or lung transplantation (LT) within a 3-year period in adult patients. METHODS: We developed a logistic model using data from the French CF Registry and combined the coefficients into a prognostic score. The discriminative abilities of the model and the prognostic score were assessed by c-statistic. The prognostic score was validated using a 10-fold cross-validation. RESULTS: The risk of death or LT within 3years was related to eight characteristics. The development and the validation provided excellent results for the prognostic score; the c-statistic was 0.91 and 0.90 respectively. CONCLUSION: The score developed to predict 3-year death or LT in adults with CF might be useful for clinicians to identify patients requiring specialized evaluation for LT.
Authors: Kathleen J Ramos; Patrick J Smith; Edward F McKone; Joseph M Pilewski; Amy Lucy; Sarah E Hempstead; Erin Tallarico; Albert Faro; Daniel B Rosenbluth; Alice L Gray; Jordan M Dunitz Journal: J Cyst Fibros Date: 2019-03-27 Impact factor: 5.482
Authors: Lorriana E Leard; Are M Holm; Maryam Valapour; Allan R Glanville; Sandeep Attawar; Meghan Aversa; Silvia V Campos; Lillian M Christon; Marcelo Cypel; Göran Dellgren; Matthew G Hartwig; Siddhartha G Kapnadak; Nicholas A Kolaitis; Robert M Kotloff; Caroline M Patterson; Oksana A Shlobin; Patrick J Smith; Amparo Solé; Melinda Solomon; David Weill; Marlies S Wijsenbeek; Brigitte W M Willemse; Selim M Arcasoy; Kathleen J Ramos Journal: J Heart Lung Transplant Date: 2021-07-24 Impact factor: 13.569
Authors: Patricia J Rodriguez; David L Veenstra; Patrick J Heagerty; Christopher H Goss; Kathleen J Ramos; Aasthaa Bansal Journal: Value Health Date: 2021-12-22 Impact factor: 5.101
Authors: Scott C Bell; Marcus A Mall; Hector Gutierrez; Milan Macek; Susan Madge; Jane C Davies; Pierre-Régis Burgel; Elizabeth Tullis; Claudio Castaños; Carlo Castellani; Catherine A Byrnes; Fiona Cathcart; Sanjay H Chotirmall; Rebecca Cosgriff; Irmgard Eichler; Isabelle Fajac; Christopher H Goss; Pavel Drevinek; Philip M Farrell; Anna M Gravelle; Trudy Havermans; Nicole Mayer-Hamblett; Nataliya Kashirskaya; Eitan Kerem; Joseph L Mathew; Edward F McKone; Lutz Naehrlich; Samya Z Nasr; Gabriela R Oates; Ciaran O'Neill; Ulrike Pypops; Karen S Raraigh; Steven M Rowe; Kevin W Southern; Sheila Sivam; Anne L Stephenson; Marco Zampoli; Felix Ratjen Journal: Lancet Respir Med Date: 2019-09-27 Impact factor: 30.700