ArticleAnnals of intensive care2021
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.
Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Quantifying the effects of pseudonymisation on epidemiological research reliability: a tailored evaluation using a clinical data warehouse.BMC medical informatics and decision making · 2026Article
- Role of Respiratory Viruses in Severe Acute Respiratory Failure.Journal of clinical medicine · 2025Review
- Mortality associated with Omicron and influenza infections in France before and during the COVID-19 pandemic.Epidemiology and infection · 2023Article
- Comparison of Clinical Profiles and Mortality Outcomes Between Influenza and COVID-19 Patients Invasively Ventilated in the ICU: A Retrospective Study From All Paris Public Hospitals From 2016 to 2021.Critical care explorations · 2022Article
Corrections and comments
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Authors and funding
23 authors at 9 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAt the critical care level, the flu surveillance system is limited in France, with heterogeneous regional modalities of implementation. MATERIALS, PATIENTS AND
methodsWe 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.
resultsPatients 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.
conclusionsData 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.
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