Evidence map›Paper›PMID 27509388›Full record

ArticleCritical care medicine2017

Hospital Volume and Outcomes of Noninvasive Ventilation in Patients Hospitalized With an Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

Mihaela S Stefan, Penelope S Pekow, Meng-Shiou Shieh, Nicholas S Hill, Michael B Rothberg, Kimberly A Fisher, Peter K Lindenauer

Registry-linked trialAbstract read
In one paragraph

Article in Critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04206735 (Implementation of Interprofessional Training to Improve Uptake of Noninvasive Ventilation in Patients Hospitalized With Severe COPD Exacerbation), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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.

NCT04206735 nawithdrawnnot on this mapstarted 2019, after this paper: background citation

Implementation of Interprofessional Training to Improve Uptake of Noninvasive Ventilation in Patients Hospitalized With Severe COPD Exacerbation

TypeinterventionalSponsorBaystate Medical CenterRan2019 to 2022Enrolled0ConditionsCopdArmsInterprofessional Education (IPE), Usual care
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Mihaela S Stefan1Center for Quality of Care Research, Baystate Medical Center, Springfield, MA. 2Division of General Medicine, Department of Medicine, Baystate Medical Center, Springfield, MA. 3Tufts University School of Medicine, Boston, MA. 4School of Public Health and Health Sciences, University of Massachusetts-Amherst, Amherst, MA. 5Division of Pulmonary and Critical Care Medicine, Department of Medicine, Tufts University School of Medicine, Boston, MA. 6Center for Value Based Research, Medicine Institute, Cleveland Clinic, Cleveland, OH. 7Division of Pulmonary and Critical Care, Department of Medicine, University of Massachusetts Medical School, Worcester, MA.
Penelope S Pekow
Meng-Shiou Shieh
Nicholas S Hill
Michael B Rothberg
Kimberly A Fisher
Peter K Lindenauer

Funding

Implementation and Outcomes of Noninvasive Ventilation in COPDR18HL108810 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2011 to 2015
$2.2M
Comparing Noninvasive and Invasive Ventilation in Acute Respiratory FailureK01HL114631 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI STEFAN, MIHAELA S · 2013 to 2016
$565k
NHLBI NIH HHS K01 HL114631NHLBI NIH HHS R18 HL108810
6 · The paper itself

Abstract

objectiveTo determine the relationship between hospital noninvasive ventilation caseload and outcomes among patients with an acute chronic obstructive pulmonary disease exacerbation.

designCross-sectional study of 13,893 patients with chronic obstructive pulmonary disease treated with noninvasive ventilation.

settingA total of 243 U.S. hospitals participating in the Premier Inpatient Database. PATIENTS: A total of 13,893 patients admitted between July 2009 and June 2011.

interventionsNone. MEASUREMENTS AND MAIN

resultsAnnual hospital volume of noninvasive ventilation was analyzed as a continuous variable, as well as after grouping it in four categories. The median hospital annual volume of noninvasive ventilation use was 627 and varied from 234 admissions in quartile 1 to 1,529 admissions in quartile 4. Noninvasive ventilation failure occurred in 15.2%, and in-hospital mortality was 6.5%. After adjusting for patient characteristics, relative to low-volume hospitals, high-volume hospitals did not have lower noninvasive ventilation failure (odds ratio quartile 4 vs quartile 1, 1.05; 95% CI, 0.65-1.68) or in-hospital mortality (odds ratio quartile 4 vs quartile 1, 0.88; 95% CI, 0.69-1.12). In a hierarchical multivariable analysis with adjustment for patient characteristics where volume was assessed as a continuous variable, hospital volume was not related to outcomes, including noninvasive ventilation failure (p = 0.87), in-hospital mortality (p = 0.88), 30-day readmission for chronic obstructive pulmonary disease (p = 0.83), or hospital length of stay (p = 0.12).

conclusionsThe results of this large retrospective cohort study suggest that hospitals with higher noninvasive ventilation volume do not achieve better outcomes of patients with chronic obstructive pulmonary disease exacerbation treated with noninvasive ventilation; even hospitals with low noninvasive ventilation volume are able to successfully implement this intervention.

Indexed as

HospitalizationHospitals, High-VolumeHospitals, Low-VolumeNoninvasive VentilationAgedCross-Sectional StudiesDisease ProgressionFemaleHumansLength of StayMaleMiddle AgedPatient ReadmissionPulmonary Disease, Chronic ObstructiveRetrospective StudiesUnited States

Identifiers

PMID27509388
PMCPMC5161577

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Registered trials

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.