Evidence map›Paper›PMID 36910694›Full record

ArticleOpen forum infectious diseases2023

Invasive Mold Infections Following Hurricane Harvey-Houston, Texas.

Mitsuru Toda, Samantha Williams, Brendan R Jackson, Sebastian Wurster, Jose A Serpa, Masayuki Nigo, Carolyn Z Grimes, Robert L Atmar, Tom M Chiller, Luis Ostrosky-Zeichner and 1 more

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Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Climate Change Impacts on Environmental Fungi: Human Health and Fungal Disease.Current topics in microbiology and immunology · 2025
    Review
  10. Review
  11. Article
  12. Disaster mycologyBiomedica : revista del Instituto Nacional de Salud · 2023
    Article
  13. Review
  14. 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

11 authors.

Mitsuru TodaMycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-5904-6658
Samantha WilliamsMycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Brendan R JacksonMycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sebastian WursterDivision of Internal Medicine, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-7784-7256
Jose A SerpaDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Masayuki NigoDivision of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA.
Carolyn Z GrimesDivision of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA.
Robert L AtmarDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Tom M ChillerMycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Luis Ostrosky-ZeichnerDivision of Infectious Diseases, McGovern Medical School, University of Texas, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-4784-7589
Dimitrios P KontoyiannisDivision of Internal Medicine, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Characterizing invasive mold infection (IMI) epidemiology in the context of large flooding events is important for public health planning and clinical decision making. Methods: We assessed IMI incidence (per 10 000 healthcare encounters) 1 year before and after Hurricane Harvey at 4 hospitals in Houston, Texas. Potential IMI cases were assigned as proven or probable cases using established definitions, and surveillance cases using a novel definition. We used rate ratios to describe IMI incidence and multivariable logistic regression to examine patient characteristics associated with IMI case status. Results: IMI incidence was significantly higher posthurricane (3.69 cases) than prehurricane (2.50 cases) (rate ratio, 1.48 [95% confidence interval, 1.10-2.00]), largely driven by surveillance IMI cases. Conclusions: IMI incidence likely increased following Hurricane Harvey and outcomes for IMI patients were severe. Patient and clinician education on IMI prevention and identification is warranted, particularly as the frequency of extreme weather events increases due to climate change.

Indexed as

aspergillosishurricaneinvasive mold infectionssurveillance

Identifiers

PMID36910694
PMCPMC10003735

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Registered trials

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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.