Evidence map›Paper›PMID 25878301›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2015

Estimates of the demand for mechanical ventilation in the United States during an influenza pandemic.

Martin I Meltzer, Anita Patel, Adebola Ajao, Scott V Nystrom, Lisa M Koonin

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Impact of 3D printed medical equipment on the management of the Covid19 pandemic.The International journal of health planning and management · 2020
    Review
  10. Article
  11. A dynamic modeling tool for estimating healthcare demand from the COVID19 epidemic and evaluating population-wide interventions.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Article
  12. Article
  13. Factors affecting hospital response in biological disasters: A qualitative study.Medical journal of the Islamic Republic of Iran · 2020
    Article
  14. Review
  15. Review
  16. Stockpiling Ventilators for Influenza Pandemics.Emerging infectious diseases · 2017
    Article
  17. Article
  18. Standardizing scenarios to assess the need to respond to an influenza pandemic.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Review
  19. 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

5 authors.

Martin I MeltzerDivision of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases.
Anita PatelDivision of Strategic National Stockpile, Office of Public Health Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, Georgia.
Adebola AjaoFormerly, GAP Solutions Incorporated, Contracted to the Office of the Assistant Secretary for Preparedness and Response.
Scott V NystromDivision of Medical Countermeasure Strategy and Requirements, Office of the Assistant Secretary for Preparedness and Response, US Department of Health and Human Services, Washington, D.C.
Lisa M KooninInfluenza Coordination Unit, Office of Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

GRADUATE TRAINING IN CELLULAR &MOLECULAR PHARMACOLOGYT32GM007752 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROWN, JOAN HELLER, HANDEL, TRACY M · 1985 to 2023
$13.5M
Intramural CDC HHS CC999999NIGMS NIH HHS T32 GM007752
6 · The paper itself

Abstract

An outbreak in China in April 2013 of human illnesses due to avian influenza A(H7N9) virus provided reason for US public health officials to revisit existing national pandemic response plans. We built a spreadsheet model to examine the potential demand for invasive mechanical ventilation (excluding "rescue therapy" ventilation). We considered scenarios of either 20% or 30% gross influenza clinical attack rate (CAR), with a "low severity" scenario with case fatality rates (CFR) of 0.05%-0.1%, or a "high severity" scenario (CFR: 0.25%-0.5%). We used rates-of-influenza-related illness to calculate the numbers of potential clinical cases, hospitalizations, admissions to intensive care units, and need for mechanical ventilation. We assumed 10 days ventilator use per ventilated patient, 13% of total ventilator demand will occur at peak, and a 33.7% weighted average mortality risk while on a ventilator. At peak, for a 20% CAR, low severity scenario, an additional 7000 to 11,000 ventilators will be needed, averting a pandemic total of 35,000 to 55,000 deaths. A 30% CAR, high severity scenario, will need approximately 35,000 to 60,500 additional ventilators, averting a pandemic total 178,000 to 308,000 deaths. Estimates of deaths averted may not be realized because successful ventilation also depends on sufficient numbers of suitably trained staff, needed supplies (eg, drugs, reliable oxygen sources, suction apparatus, circuits, and monitoring equipment) and timely ability to match access to ventilators with critically ill cases. There is a clear challenge to plan and prepare to meet demands for mechanical ventilators for a future severe pandemic.

Indexed as

PandemicsDisaster PlanningHumansInfluenza A Virus, H7N9 SubtypeInfluenza, HumanIntensive Care UnitsModels, TheoreticalPublic HealthRespiration, ArtificialUnited StatesVentilators, Mechanicaldemandinfluenza pandemicventilationventilator

Identifiers

PMID25878301
PMCPMC4603361

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.