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Cited by 533

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Acute high-altitude sickness

Open access
Luks, Andrew M., Swenson, Erik R., Bärtsch, Peter·2017·European Respiratory Review

Abstract

At any point 1–5 days following ascent to altitudes ≥2500 m, individuals are at risk of developing one of three forms of acute altitude illness: acute mountain sickness, a syndrome of nonspecific symptoms including headache, lassitude, dizziness and nausea; high-altitude cerebral oedema, a potentially fatal illness characterised by ataxia, decreased consciousness and characteristic changes on magnetic resonance imaging; and high-altitude pulmonary oedema, a noncardiogenic form of pulmonary oedema resulting from excessive hypoxic pulmonary vasoconstriction which can be fatal if not recognised and treated promptly. This review provides detailed information about each of these important clinical entities. After reviewing the clinical features, epidemiology and current understanding of the pathophysiology of each disorder, we describe the current pharmacological and nonpharmacological approaches to the prevention and treatment of these diseases.

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Crossref · 10.1183/16000617.0096-2016

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Metadata

Authors
Luks, A. M., Swenson, E. R., & Bärtsch, P.
Venue
European Respiratory Review
Published
2017-01-31
Volume
26
Issue
143
Pages
160096
ISSN
  • 0905-9180 (ISSN-L)
  • 1600-0617
OpenAlex
W2584358852
Cited by
533
References
64
FWCI
17.84
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Acute high-altitude sickness. https://app.cochat.ai/papers/10.1183/16000617.0096-2016
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Luks, A. M., Swenson, E. R., & Bärtsch, P. (2017). Acute high-altitude sickness. European Respiratory Review. https://doi.org/10.1183/16000617.0096-2016

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.