Evidence map›Paper›PMID 40502586›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Updating the epidemiology of blastomycosis and histoplasmosis in the United States, using national electronic health record data, 2013 - 2023.

Juliana G E Bartels, Simon K Camponuri, Theo T Snow, Brittany L Morgan Bustamante, Natalie J Kane, Rose M Reynolds, Aidan Lee, Mark Hoffman, Theodore C White, Justin V Remais and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Juliana G E BartelsDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA.
Simon K CamponuriDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA.
Theo T SnowDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA.
Brittany L Morgan BustamanteDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA.
Natalie J KaneChildren's Mercy Research Institute, UMKC School of Medicine, Kansas City, MO.
Rose M ReynoldsChildren's Mercy Research Institute, UMKC School of Medicine, Kansas City, MO.
Aidan LeeSchool of Letters and Sciences, University of California, Berkeley, Berkeley, CA 94720.
Mark HoffmanChildren's Mercy Research Institute, UMKC School of Medicine, Kansas City, MO.
Theodore C WhiteSchool of Science and Engineering, University of Missouri - Kansas City, Kansas City, MO.
Justin V RemaisDivision of Environmental Health Sciences, University of California, Berkeley, Berkeley, CA.
Jennifer R HeadDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-0223-4615

Funding

Integrating Epidemiologic and Environmental Approaches to Understand and Predict Coccidioides Exposure and Coccidioidomycosis EmergenceR01AI148336 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI REMAIS, JUSTIN V · 2020 to 2024
$4.5M
Using massive, multi-regional EHR data to estimate the impacts of environmental and other risk factors on fungal disease epidemiology in the U.S.R01AI176770 · NIAID · UNIVERSITY OF MISSOURI KANSAS CITY · PI Mark Hoffman, Justin V Remais · 2023 to 2026
$3.2M
Modelled estimation of population immunity for coccidioidomycosis and the role of immunologically naïve populations in the shifting epidemiology of coccidioidomycosis in CaliforniaK01AI173529 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jennifer Head · 2023 to 2026
$478k
NIAID NIH HHS K01 AI173529NIAID NIH HHS R01 AI148336NIAID NIH HHS R01 AI176770NIOSH CDC HHS T42 OH008429
6 · The paper itself

Abstract

Introduction: Where surveillance data are limited, nationally-representative electronic health records allow for geographic, temporal, and demographic characterization of the fungal diseases blastomycosis and histoplasmosis. Methods: We identified incident blastomycosis and histoplasmosis cases from 2013 to 2023 within Oracle EHR Real-World Data, which comprises 1.6 billion healthcare encounters nationally. To characterize geographic and temporal incidence rates, we used weighted generalized estimating equations adjusting for non-representativeness of EHR-reporting facilities. We computed standardized incidence rate ratios (sIRRs), which relay relative differences in standardized incidence rates among region, race/ethnicity, gender, and age subgroups and the national population. Results: National incidence rates in 2023 were 2.4 (95% CI: 1.6-3.5) and 1.9 times (95% CI: 1.6-2.2) rates in 2013, for blastomycosis and histoplasmosis, respectively. Blastomycosis incidence rates among Hispanic/Latino and non-Hispanic Black individuals were 60% (sIRR: 1.6 [95% CI: 1.0-2.4]) and 30% (sIRR: 1.3 [95% CI: 1.0-1.6]) higher than the standardized national incidence rate. Histoplasmosis incidence rates were elevated among non-Hispanic White patients (sIRR: 1.05 [95% CI: 1.02-1.08]). Standardized incidence rates of both diseases were higher among older and male patients and were elevated in the Upper Midwest (sIRR: blastomycosis: 5.1 [95% CI: 3.7-6.8]; histoplasmosis: 1.7 [95% CI: 1.5-1.9]) and Ohio Valley regions (sIRR: blastomycosis: 2.0 [95% CI: 1.7-2.3]; histoplasmosis: 2.3 [95% CI: 2.2-2.5], and increased in the Northern Rockies and Plains from 2013 to 2023. Discussion: This analysis revealed increasing incidence rates of blastomycosis and histoplasmosis and expansion outside of historically endemic regions, with notable differences in incidence by race/ethnicity, gender, and age.

Indexed as

blastomycosisdisease emergenceelectronic health recordsendemic mycosesepidemiologyHistoplasmosis

Identifiers

PMID40502586
PMCPMC12154977

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.