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Published in: BMC Pulmonary Medicine 1/2021

Open Access 01-12-2021 | Pneumonia | Research Article

A scoring system derived from electronic health records to identify patients at high risk for noninvasive ventilation failure

Authors: Mihaela S. Stefan, Aruna Priya, Penelope S. Pekow, Jay S. Steingrub, Nicholas S. Hill, Tara Lagu, Karthik Raghunathan, Anusha G. Bhat, Peter K. Lindenauer

Published in: BMC Pulmonary Medicine | Issue 1/2021

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Abstract

Objective

To develop and validate a clinical risk prediction score for noninvasive ventilation (NIV) failure defined as intubation after a trial of NIV in non-surgical patients.

Design

Retrospective cohort study of a multihospital electronic health record database.

Patients

Non-surgical adult patients receiving NIV as the first method of ventilation within two days of hospitalization.

Measurement

Primary outcome was intubation after a trial of NIV. We used a non-random split of the cohort based on year of admission for model development and validation. We included subjects admitted in years 2010–2014 to develop a risk prediction model and built a parsimonious risk scoring model using multivariable logistic regression. We validated the model in the cohort of subjects hospitalized in 2015 and 2016.

Main results

Of all the 47,749 patients started on NIV, 11.7% were intubated. Compared with NIV success, those who were intubated had worse mortality (25.2% vs. 8.9%). Strongest independent predictors for intubation were organ failure, principal diagnosis group (substance abuse/psychosis, neurological conditions, pneumonia, and sepsis), use of invasive ventilation in the prior year, low body mass index, and tachypnea. The c-statistic was 0.81, 0.80 and 0.81 respectively, in the derivation, validation and full cohorts. We constructed three risk categories of the scoring system built on the full cohort; the median and interquartile range of risk of intubation was: 2.3% [1.9%–2.8%] for low risk group; 9.3% [6.3%–13.5%] for intermediate risk category; and 35.7% [31.0%–45.8%] for high risk category.

Conclusions

In patients started on NIV, we found that in addition to factors known to be associated with intubation, neurological, substance abuse, or psychiatric diagnoses were highly predictive for intubation. The prognostic score that we have developed may provide quantitative guidance for decision-making in patients who are started on NIV.
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Metadata
Title
A scoring system derived from electronic health records to identify patients at high risk for noninvasive ventilation failure
Authors
Mihaela S. Stefan
Aruna Priya
Penelope S. Pekow
Jay S. Steingrub
Nicholas S. Hill
Tara Lagu
Karthik Raghunathan
Anusha G. Bhat
Peter K. Lindenauer
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Pulmonary Medicine / Issue 1/2021
Electronic ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-021-01421-w

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