Evidence map›Paper›PMID 42048191›Full record

Observational studyTherapeutic advances in respiratory disease

Predicting in-hospital mortality in a real-world population of ward-based non-invasive ventilation in acute COPD exacerbations.

Aylin Ozsancak Ugurlu, Alastair Watson, Paul Ellis, Ravi K Bange, Sridivyareddy Yangannagari, Madeeha Ahmed, Amy Oakes, Kirsty-Anne Ebbage, Rahul Mukherjee

Abstract readObservational Study
In one paragraph

Observational study in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Aylin Ozsancak UgurluDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Birmingham, UK.
Alastair WatsonSchool of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6735-2567
Paul EllisDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Bordesley Green East, Birmingham, UK.
Ravi K BangeDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Birmingham, UK.
Sridivyareddy YangannagariDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Birmingham, UK.
Madeeha AhmedDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Birmingham, UK.
Amy OakesDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Birmingham, UK.
Kirsty-Anne EbbageDepartment of Respiratory Medicine, Birmingham Heartlands Hospital, Birmingham, UK.
Rahul MukherjeeDepartment of Respiratory Medicine, Birmingham Heartlands Hospital (part of University Hospitals Birmingham), Birmingham, B9 5SS, UK.ORCID 0000-0003-4466-0660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate tools for patient stratification by likely outcome are needed to support complex decision-making and improve acute non-invasive ventilation (NIV) delivery.

objectivesTo evaluate the potential of an emerging NIV outcomes (NIVO) score tool to predict in-hospital mortality to aid its validation in a real-world UK hospital population of ward-based NIV for acute exacerbations of chronic obstructive pulmonary disease (AECOPD).

designThis was a retrospective observational cohort study of all consecutive patient admissions with AECOPD managed with NIV for acute hypercapnic respiratory failure at a teaching hospital.

methodsClinical parameters were collected as part of an ongoing quality improvement project. Patients were grouped based on their survival status at hospital discharge. First admission of each patient was included in the analysis. NIV failure, defined as NIV withdrawal or intubation requirement due to clinical deterioration on NIV, along with in-hospital mortality, was modelled using logistic regression.

resultsThere were 249 unique patient AECOPD admissions with ward-based NIV. Across first admissions, NIV failure rate was 37.3%, in-hospital mortality 26.5%, and 1-year mortality 47.0%. NIVO score was significantly associated with both NIV failure and in-hospital mortality, with odds ratios (95% Confidence intervals) of 1.33 (1.13-1.58,

conclusionThis study demonstrates that the NIVO score shows promise as a predictive tool for in-hospital mortality in patients with AECOPD receiving ward-based NIV. Furthermore, it suggests that NIVO may be able to support decision-making for enhanced NIV delivery in new clinical pathways to address the growing burden of chronic obstructive pulmonary disease exacerbations.

Indexed as

Decision Support TechniquesHospital MortalityLungNoninvasive VentilationPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overDisease ProgressionFemaleHospitals, TeachingHumansLogistic ModelsMaleMiddle AgedOdds RatioPredictive Value of TestsAECOPDCOPDNIVNIVO scoreNIV treatment outcomes

Identifiers

PMID42048191
PMCPMC13145036

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.