Evidence map›Paper›PMID 41021228›Full record

ArticleJAMA network open2025

In-Flight Medical Events on Commercial Airline Flights.

Paulo M Alves, Karan R Kumar, Justin Devlin, Neil Nerwich, Alexandre T Rotta

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Paulo M AlvesMedAire, Inc, Phoenix, Arizona.
Karan R KumarDivision of Pediatric Critical Care Medicine, Duke University Medical Center, Durham, North Carolina.
Justin DevlinMedAire, Inc, Phoenix, Arizona.
Neil NerwichMedAire, Inc, Phoenix, Arizona.
Alexandre T RottaDivision of Pediatric Critical Care Medicine, Duke University Medical Center, Durham, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In-flight medical events are an inevitable challenge in commercial aviation. Managing these events is complicated by constrained medical resources and delayed access to definitive care. Objective: To characterize the epidemiology of in-flight medical events and identify factors associated with aircraft diversion, hospital transport, and in-flight mortality. Design, Setting, and Participants: This cohort study included 77 790 in-flight medical events reported to a global ground-based medical support center from January 1, 2022, through December 31, 2023. All passengers experiencing an in-flight medical event across 84 participating airlines during the study period were included. Data were collected from consultations initiated by flight crew via radio or satellite communication with a dedicated ground-based physician. No demographic or clinical exclusions were applied. Exposures: Medical conditions occurring during commercial flights that prompted contact with the ground-based support center. Data included clinical presentation, in-flight management, passenger demographics, involvement of volunteer medical professionals, and disposition. Main Outcomes and Measures: Primary outcome was aircraft diversion, and secondary outcomes were hospital transport and in-flight mortality. Descriptive statistics, univariate analyses, and multivariable analyses were used to identify clinical and operational variables associated with these outcomes. Results: Among 77 790 in-flight medical events, the overall incidence was 39 events per 1 million enplanements, with 1 event per 212 flights, or 17 events per billion revenue passenger kilometers. The median (IQR) age of affected passengers (42 316 females [54.4%]) was 43 (27-61) years. Aircraft diversion occurred in 1.7% of cases, most frequently due to neurologic (41%) and cardiovascular (27%) conditions. Suspected stroke (adjusted OR [AOR], 20.35; 95% CI, 12.98-31.91) and acute cardiac emergencies (AOR, 8.16; 95% CI, 6.38-10.42) were the factors associated with the highest odds of diversion. The involvement of a physician volunteer was also associated with increased odds of diversion (AOR, 7.86; 95% CI, 4.49-13.78). Conclusions and Relevance: In this cohort study of 77 790 in-flight medical events, these events occur more frequently than previously reported. Serious neurologic conditions, cardiac events, and physician volunteer involvement are each associated with higher odds of diversion. These findings contribute to the understanding of in-flight medical event frequency and outcomes and may inform policy, flight crew training, and diversion protocols.

Indexed as

Aerospace MedicineAircraftAviationAdultCohort StudiesFemaleHumansMaleMiddle AgedTravel

Identifiers

PMID41021228
PMCPMC12481225

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.