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Flow Index as a Noninvasive Method to Evaluate Inspiratory Effort in Patients on Pressure Support Ventilation

  • Drs. Fusina
  • Albani
  • Natalini are affiliated with Department of Anesthesia and Intensive Care
  • Fondazione Poliambulanza
  • University of Brescia, Brescia, Italy
  • Dr. Fusina
  • Dr. de Vries
  • Prof. Tuinman are affiliated with Department of Intensive Care Medicine
  • The Netherlands
  • Prof. Tuinman is affiliated with Amsterdam Cardiovascular Sciences
  • Vrije Universiteit Amsterdam
  • Dr. Pisani is affiliated with Department of Precision-Regenerative Medicine and Jonic Area (DiMePRe-J)
  • Department of Physiology and Pharmacology, Section of Anesthesiology and Intensive Care Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
  • University Aldo Moro of Bari, Bari, Italy
  • Dr. Pisani is affiliated with Mahidol Oxford Tropical Research Unit (MORU)
  • Bangkok University
  • Prof. Tuinman is affiliated with Amsterdam Leiden IC Focused Echography (ALIFE
  • http://www.alifeofpocus.com)
  • Prof. Tuinman is affiliated with Amsterdam Institute for Immunity and Infectious Diseases
  • Prof. Heunks is affiliated withDepartment of Intensive Care Radboud University Medical Center
  • University of Bari
  • Mahidol Oxford Tropical Medicine Research Unit
  • Radboud University Nijmegen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: The Flow Index was recently developed as a bedside method based on flow waveforms to assess patient inspiratory effort during invasive mechanical ventilation. The aim of this study is to externally validate the Flow Index by assessing its ability to identify low and high inspiratory effort breaths. Methods: Secondary analysis of a randomized controlled trial. The association between Flow Index and patient inspiratory effort (pressure generated by the respiratory muscles [ΔPmus] and pressure-time product from the start of inspiratory flow [PTPinsp]) was evaluated using linear mixed effects models. The discrimination capacity (area under the curve [AUC]) of the Flow Index to identify low and high inspiratory effort breaths was analyzed. Results: A total of 1,095 breaths from 38 subjects were included in the analysis. Flow Index had moderate discriminatory power in identifying low inspiratory effort breaths (AUC of 0.73 and 0.77 for low inspiratory effort defined with ΔPmus and PTPinsp, respectively). Discriminatory power in identifying high inspiratory effort breaths was low (AUC of 0.68 and 0.65 for ΔPmus and PTPinsp, respectively). Conclusions: Flow Index demonstrated moderate discriminatory power in identifying low inspiratory effort breaths, whereas discriminatory power in identifying high inspiratory effort breaths was low.

Original languageEnglish
Pages (from-to)1201-1206
Number of pages6
JournalRespiratory care
Volume70
Issue number10
DOIs
Publication statusPublished - 1 Oct 2025

Keywords

  • Humans
  • Male
  • Female
  • Middle Aged
  • Respiratory Muscles/physiopathology
  • Aged
  • Positive-Pressure Respiration/methods
  • Inhalation/physiology
  • Work of Breathing/physiology
  • Adult
  • Respiration, Artificial/methods
  • ICUs
  • artificial respiration
  • positive-pressure respiration

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