Latent transition analysis for longitudinal studies of post-acute infection syndromes
Abstract
Abstract Post-Acute Infectious Syndromes (PAIS) refer to the symptoms persisting months after initial infection. Clinical research studies on this topic often collect rich, multi-modal datasets. Yet, the complexity of the datasets and the lack of a precise clinical case definition pose difficulties in creating comprehensive analyses. Here, we present a generalisable framework for analysing data from longitudinal studies of PAIS using Latent Transition Analysis (LTA). It enables the identification of disease phenotypes and the patient-level analysis of transitions between them, without relying on predefined clinical categorisations. Furthermore, we introduce a method for incorporating covariate information, which enables exploration of how patient characteristics influence disease trajectories. We apply this methodology to the ORCHESTRA dataset, composed of individuals affected by SARS-CoV-2 infection from multiple European centres, for investigation into Post-COVID-19 condition (PCC). 5094 patient assessments were collected at SARS-CoV-2 infection, and at 6, 12, 18, and 24 months of follow-up. Our model identifies distinct PCC phenotypes with patient trajectories impacted by age and sex. Our results highlight how LTA can enhance the interpretability of complex, time-resolved clinical data, support personalized patient monitoring and management, and accelerate therapeutic development for other PAISs, too.
Article Details
Authors (127)
Roy Gusinow
Anna Górska
Lorenzo Maria Canziani
Iris Lopes-Rafegas
Carolina Alvarez Garavito
Adriana Tami
Elisa Gentilotti
Elisa Sicuri
Cedric Laouenan
Assistance Publique–Hôpitaux de Paris.Nord, Hopital Bichat-Claude Bernard, Service des Maladies Infectieuses, Paris F75018, France and Universite Paris Cite, INSERM UMR 1137 IAME
Jade Ghosn
Assistance Publique–Hôpitaux de Paris.Nord, Hopital Bichat-Claude Bernard, Service des Maladies Infectieuses, Paris F75018, France and Universite Paris Cite, INSERM UMR 1137 IAME
Aline-Marie Florence
Nadhem Lahfej
Fulvia Mazzaferri
Lidia Del Piccolo
Maddalena Giannella
Alice Toschi
Michela Di Chiara
Maria Giulia Caponcello
Zaira R. Palacios-Baena
Karin I. Wold
Elisa Rossi
Evelina Tacconelli
Jan Hasenauer
Elena Addis
Maddalena Armellini
Anna Maria Azzini
Benedetta Barana
Lucia Bonato
Elena Carrara
Alessandro Castelli
Filippo Cioli Puviani
Michela Conti
Raffaella Cordioli
Carmine Cutone
Ruth Joanna Davis
Pasquale De Nardo
Miriam Emiliani
Alessio Esposito
Daniele Fasan
Giada Fasani
Giorgia Franchina
Jacopo Garlasco
Enrico Gibbin
Salvatore Hermes Dall’O’
Chiara Konishi De Toffoli
Lorenza Lambertenghi
Federico Lattanzi
Andrea Leonardi
Francesco Luca
Gaia Maccarrone
Massimo Mirandola
Matteo Morra
Alessandra Nazeri
Matilde Rocchi
Giulia Rosini
Chiara Perlini
Maria Diletta Pezzani
Laura Rovigo
Anna Giulia Salvadori
Andrea Sartori
Experimental Division, European Synchrotron Radiation Facility, 71 Av. des Martyrs, 38000, Grenoble, France
Alessia Savoldi
Rebecca Scardellato
Marcella Sibani
Erica Sodano
Simona Sorbello
Lorenzo Tavernaro
Giorgia Tomassini
Alessandro Visentin
Stefania Vitali
Andrea Volpe
Chiara Zanchi
Gloria Mazzali
Giovanni Stabile
Gianluca Vantini
Riccardo Cecchetto
Davide Gibellini
Nicolò Cardobi
Debora Calì
Maria Paola Cecchini
Maddalena Marcanti
Anna Mason
Salvatore Monaco
Marco Pattaro Zonta
Cinzia Perlini
Gianluigi Zanusso
Elda Righi
Mariana Nunes Pinho Guedes
Maria Mongardi
Concetta Sciammarella
Claudio Micheletto
Paolo Gisondi
Natascia Caroccia
Cecilia Bonazzetti
Beatrice Tazza
Zeno Igor Adrien Pasquini
Domenico Marzolla
Giacomo Fornaro
Fabio Trapani
Lorenzo Marconi
Luciano Attard
Sara Tedeschi
Silvia Vituliano
Liliana Gabrielli
Tiziana Lazzarotto
Jesús Rodrguez-Baño
Mara Isabel Garcia Sánchez
Ana Belén Hidalgo Céspedes
Aurora Aleman Rodriguez
Lola Cubero Aranda
Paula Olivares Navarro
Sandra De la Rosa Riestra
José M. Bravo-Ferrero
Gerolf de Boer
Bernardina T. F. van der Gun
Mara F. Vincenti-González
Alida C. M. Veloo
Daniele Pantano
Margriet van der Meer
Lilli Gard
Erley F. Lizarazo
Marjolein Knoester
Alex W. Friedrich
Hubert G. M. Niesters
Salvatore Cataudella
Chiara Dellacasa
Manuel Huth
Clemens Peiter