Evidence map›Paper›PMID 28799774›Full record

ArticleAnnals of the American Thoracic Society2017

Real-Time Surveillance of Influenza Morbidity: Tracking Intensive Care Unit Resource Utilization.

Arthur W Baker, Michael B Edmond, Loreen A Herwaldt, Luke F Chen, Sudha Srikantaswamy, Daniel J Sexton

Abstract readMulticenter Study
In one paragraph

Article in Annals of the American Thoracic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Arthur W Baker1 Division of Infectious Diseases, Department of Medicine, Duke University Hospital, Durham, North Carolina.ORCID http://orcid.org/0000-0002-0914-0291
Michael B Edmond3 Division of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia; and.
Loreen A Herwaldt4 Division of Infectious Diseases, Department of Internal Medicine, University of Iowa, Iowa City, Iowa.
Luke F Chen1 Division of Infectious Diseases, Department of Medicine, Duke University Hospital, Durham, North Carolina.
Sudha Srikantaswamy2 Duke Center for Antimicrobial Stewardship and Infection Prevention, Durham, North Carolina.
Daniel J Sexton1 Division of Infectious Diseases, Department of Medicine, Duke University Hospital, Durham, North Carolina.
Duke University · USUniversity of Iowa · US

Funding

Transplant Infectious Diseases Interdisciplinary Research Training Grant (TIDIRTGT32AI100851 · NIAID · DUKE UNIVERSITY · PI ALEXANDER, BARBARA D · 2013 to 2022
$1.8M
NIAID NIH HHS T32 AI100851
6 · The paper itself

Abstract

rationaleExisting real-time surveillance of influenza morbidity, based primarily on time-trended U.S. hospitalization and death data, is inadequate. These surveillance methods do not accurately predict hospital resource requirements or sufficiently capture the public health impact of the current influenza season.

objectivesTo determine the feasibility and potential usefulness of tracking surrogate markers of influenza morbidity among patients hospitalized with influenza.

methodsWe performed a pilot study at three tertiary care referral hospitals and retrospectively collected and analyzed data on patients admitted with influenza during the 2013-2014 influenza season. We analyzed traditional influenza surveillance metrics, including weekly statistics on admissions and deaths, as well as weekly rates and trends of intensive care unit (ICU), mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) utilization.

resultsIn our three-hospital cohort, 431 patients were hospitalized with influenza and spent a total of 1,520 days in ICUs. Eighty-six (20%) of these patients required 1,080 days of mechanical ventilation, and 17 patients (4%) received 229 days of ECMO. Trends of ICU and mechanical ventilation use were similar but differed notably from trends of ECMO use, hospitalization, and death. In particular, at two hospitals, increases in utilization of ICU and mechanical ventilation among patients with influenza occurred several weeks after increases in hospitalization rates. Furthermore, ICU, mechanical ventilation, and ECMO utilization rates at the three-hospital network remained elevated for several weeks after the influenza-associated hospitalization rate declined.

conclusionsSurrogate markers of influenza severity were feasible to collect and revealed trends of ICU resource utilization that differed notably from trends of hospitalization and death given by traditional influenza surveillance metrics. A national network of sentinel hospitals that prospectively collects, time-trends, and reports additional influenza morbidity data would be useful to hospital administrators, hospital epidemiologists, infection preventionists, and public health officials.

Indexed as

AdolescentAdultAgedAged, 80 and overExtracorporeal Membrane OxygenationFemaleHospitalizationHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanIntensive Care UnitsMaleMiddle AgedMorbidityPilot ProjectsRespiration, Artificialepidemiologyextracorporeal membrane oxygenationinfection controlmechanical ventilation

Identifiers

PMID28799774
PMCPMC5711258
OpenAlexW2744695068

What OpenQuestion holds

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Registered trials

None linked

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.