Details

Autor(en) / Beteiligte

• Fartoukh, Muriel
• Voiriot, Guillaume
• Guérin, Laurent
• Ricard, Jean Damien
• Combes, Alain
• Faure, Morgane
• Benghanem, Sarah
• de Montmollin, Etienne
• Tandjaoui-Lambiotte, Yacine
• Vieillard-Baron, Antoine
• Maury, Eric
• Diehl, Jean-Luc
• Razazi, Keyvan
• Lemiale, Virginie
• Trouiller, Pierre
• Planquette, Benjamin
• Savale, Laurent
• Heming, Nicholas
• Marey, Jonathan
• Carrat, Fabrice
• Lapidus, Nathanael

Titel

Seasonal burden of severe influenza virus infection in the critically ill patients, using the Assistance Publique-Hôpitaux de Paris clinical data warehouse: a pilot study

Ist Teil von

• Annals of intensive care, 2021-07, Vol.11 (1), p.117-117, Article 117

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2021

Quelle

SpringerLink

Beschreibungen/Notizen

• Purpose At the critical care level, the flu surveillance system is limited in France, with heterogeneous regional modalities of implementation. Materials, patients and methods We aimed at assessing the relevance of the Assistance Publique-Hôpitaux de Paris (AP-HP) clinical data warehouse for estimating the burden of the influenza epidemic on medical adult critical care units of the AP-HP, and outcome of patients during the flu season 2017–2018. This exploratory multi-site epidemiological study comprised all consecutive adult stays ( n  = 320) in 18 medical intensive care units (ICU) or intermediate care wards (ICW) for probable or confirmed Influenza virus infection during the 2017–2018 flu season. Results Patients admitted to ICU/ICW had low vaccination coverage (21%), required life support in 60% of cases, stayed in the ICU for a median of 8 days, and had high 28-day mortality rate (19.7%; 95% confidence interval 15.5–24.5). Early prognostic factors included age, core temperature, the acute organ failures score, and the early administration of antiviral therapy. Conclusions Data directly extracted from the electronic medical records stored in the data warehouse provide detailed clinical, care pathway and prognosis information. The real-time availability should enable to detect and assess the burden of the most severe cases. By a firmer and more acute monitoring and adjustment of care and patient management, hospitals could generate more ICU/ICW capacities, sensitize their emergency department and contribute to the recommendations from health authorities. This pilot study is of particular relevance in the context of emerging epidemics of severe acute respiratory diseases.