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MUltiparametric Score for Ventilation Discontinuation in Intensive Care Patients: A Protocol for an Observational Study

Authors :
Iacopo Cappellini
Andrea Cardoni
Lorenzo Campagnola
Guglielmo Consales
Source :
Methods and Protocols, Vol 7, Iss 3, p 45 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Background: Mechanical ventilation significantly improves patient survival but is associated with complications, increasing healthcare costs and morbidity. Identifying optimal weaning times is paramount to minimize these risks, yet current methods rely heavily on clinical judgment, lacking specificity. Methods: This study introduces a novel multiparametric predictive score, the MUSVIP (MUltiparametric Score for Ventilation discontinuation in Intensive care Patients), aimed at accurately predicting successful extubation. Conducted at Santo Stefano Hospital’s ICU, this single-center, observational, prospective cohort study will span over 12 months, enrolling adult patients undergoing invasive mechanical ventilation. The MUSVIP integrates variables measured before and during a spontaneous breathing trial (SBT) to formulate a predictive score. Results: Preliminary analyses suggest an Area Under the Curve (AUC) of 0.815 for the MUSVIP, indicating high predictive capacity. By systematically applying this score, we anticipate identifying patients likely to succeed in weaning earlier, potentially reducing ICU length of stay and associated healthcare costs. Conclusion: This study’s findings could significantly influence clinical practices, offering a robust, easy-to-use tool for optimizing weaning processes in ICUs.

Details

Language :
English
ISSN :
24099279
Volume :
7
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Methods and Protocols
Publication Type :
Academic Journal
Accession number :
edsdoj.8c4d0028664f413da85cedaf16b812b8
Document Type :
article
Full Text :
https://doi.org/10.3390/mps7030045