Evidence map›Paper›PMID 40153151›Full record

ArticleSports medicine - open2025

Predicting Post-Dive Inert Gas Bubble Grades in Non-Decompression Scuba Diving with Air: Simplified Model for Enhanced Diver Safety.

Andreas Fichtner, Björn Hannesen, Felix Stein, Benedikt Schrofner-Brunner, Thomas Pohl, Thomas Grab, Thea Koch, Tobias Fieback

Abstract read
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Article in Sports medicine - open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Andreas FichtnerMedical Faculty C.-G.-Carus, TU Dresden, Dresden, Germany.
Björn HannesenKlinikum Region Hannover, Burgwedel, Germany.
Felix SteinKlinikum Chemnitz, Chemnitz, Germany.
Benedikt Schrofner-BrunnerDepartment of Marine Sciences, University of Gothenburg, Göteborg, Sweden. benedikt.brunner@gu.se.ORCID http://orcid.org/0000-0002-9679-5746
Thomas PohlTU Bergakademie Freiberg, Freiberg, Germany.
Thomas GrabTU Bergakademie Freiberg, Freiberg, Germany.
Thea KochMedical Faculty C.-G.-Carus, TU Dresden, Dresden, Germany.
Tobias FiebackTU Bergakademie Freiberg, Freiberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven well-planned no-decompression dives can still produce inert gas bubbles that increase decompression sickness risk. A previously proposed formula for predicting post-dive bubble grades integrates individual factors (age, breathing gas consumption) with dive parameters (maximum depth, surface interval). This study aimed to confirm the formula's validity in an independent dataset and to find out whether detailed dive profile data are of further relevance in predicting echocardiography-derived post-dive bubble grades. Additionally, we explored whether machine learning models leveraging detailed dive profile data could enhance predictive accuracy.

resultsA total of 59 divers performed 359 no-decompression open-circuit air dives in freshwater and saltwater. Post-dive transthoracic echocardiography detected bubbles (Eftedal-Brubakk grade ≥ 1) in 29.8% of dives. Maximum depth, total dive time, air consumption, and age correlated significantly with observed bubble grades (r

conclusionsThis study shows that maximum depth, age, surface interval and total breathing gas consumption are sufficient predictors of post-dive bubble load in no-decompression air dives. This allows divers to individually adopt bubble-reducing measures-such as resting, hydrating, and extending surface intervals-once alerted to a higher-risk class. Integrating the formula into dive computers may offer real-time, individualised risk guidance and help prevent decompression sickness despite following computer-derived profiles in recreational diving.

Identifiers

PMID40153151
PMCPMC11953488

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