ArticleBMC pulmonary medicine2022
Flu-IV score: a predictive tool for assessing the risk of invasive mechanical ventilation in patients with influenza-related pneumonia.
Article in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Neutrophil Extracellular Trap-Related Gene Signatures and Molecular Clusters in Severe Influenza: Identification Through Integrative Transcriptome Analysis.Journal of immunology research · 2026Article
- Article
- Ferroptosis-associated genes as candidate biomarkers for the identification of patients with severe influenza necessitating mechanical ventilation.BMJ open respiratory research · 2025Article
- Predictive Factors for Invasive Mechanical Ventilation in Community-acquired Pneumonia.Internal medicine (Tokyo, Japan) · 2025Article
- Gene expression profile analysis of severe influenza-based modulation of idiopathic pulmonary fibrosis.European journal of medical research · 2024Article
- Latest developments in early diagnosis and specific treatment of severe influenza infection.Journal of intensive medicine · 2024Review
- Bioinformatics analysis identifies a key gene HLA_DPA1 in severe influenza-associated immune infiltration.BMC genomics · 2024Article
- Co-expression network analysis identifies potential candidate hub genes in severe influenza patients needing invasive mechanical ventilation.BMC genomics · 2022Article
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe need for invasive mechanical ventilation (IMV) is linked to significant morbidity and mortality in patients with influenza-related pneumonia (Flu-p). We aimed to develop an assessment tool to predict IMV among Flu-p patients within 14 days of admission.
methodsIn total, 1107 Flu-p patients from five teaching hospitals were retrospectively enrolled from January 2012 to December 2019, including 895 patients in the derivation cohort and 212 patients in the validation cohort. The predictive model was established based on independent risk factors for IMV in the Flu-p patients from the derivation cohort.
resultsOverall, 10.6% (117/1107) of patients underwent IMV within 14 days of admission. Multivariate regression analyses revealed that the following factors were associated with IMV: early neuraminidase inhibitor use (- 3 points), lymphocytes < 0.8 × 10
conclusionsFlu-IV score is a valuable prediction rule for 14-day IMV rates in Flu-p patients. However, it should be validated in a prospective study before implementation.
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