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The probability and severity of decompression sickness

Decompression sickness (DCS), which is caused by inert gas bubbles in tissues, is an injury of concern for scuba divers, compressed air workers, astronauts, and aviators. Case reports for 3322 air and N(2)-O(2) dives, resulting in 190 DCS events, were retrospectively analyzed and the outcomes were s...

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Autores principales: Howle, Laurens E., Weber, Paul W., Hada, Ethan A., Vann, Richard D., Denoble, Petar J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351842/
https://www.ncbi.nlm.nih.gov/pubmed/28296928
http://dx.doi.org/10.1371/journal.pone.0172665
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author Howle, Laurens E.
Weber, Paul W.
Hada, Ethan A.
Vann, Richard D.
Denoble, Petar J.
author_facet Howle, Laurens E.
Weber, Paul W.
Hada, Ethan A.
Vann, Richard D.
Denoble, Petar J.
author_sort Howle, Laurens E.
collection PubMed
description Decompression sickness (DCS), which is caused by inert gas bubbles in tissues, is an injury of concern for scuba divers, compressed air workers, astronauts, and aviators. Case reports for 3322 air and N(2)-O(2) dives, resulting in 190 DCS events, were retrospectively analyzed and the outcomes were scored as (1) serious neurological, (2) cardiopulmonary, (3) mild neurological, (4) pain, (5) lymphatic or skin, and (6) constitutional or nonspecific manifestations. Following standard U.S. Navy medical definitions, the data were grouped into mild—Type I (manifestations 4–6)–and serious–Type II (manifestations 1–3). Additionally, we considered an alternative grouping of mild–Type A (manifestations 3–6)–and serious–Type B (manifestations 1 and 2). The current U.S. Navy guidance allows for a 2% probability of mild DCS and a 0.1% probability of serious DCS. We developed a hierarchical trinomial (3-state) probabilistic DCS model that simultaneously predicts the probability of mild and serious DCS given a dive exposure. Both the Type I/II and Type A/B discriminations of mild and serious DCS resulted in a highly significant (p << 0.01) improvement in trinomial model fit over the binomial (2-state) model. With the Type I/II definition, we found that the predicted probability of ‘mild’ DCS resulted in a longer allowable bottom time for the same 2% limit. However, for the 0.1% serious DCS limit, we found a vastly decreased allowable bottom dive time for all dive depths. If the Type A/B scoring was assigned to outcome severity, the no decompression limits (NDL) for air dives were still controlled by the acceptable serious DCS risk limit rather than the acceptable mild DCS risk limit. However, in this case, longer NDL limits were allowed than with the Type I/II scoring. The trinomial model mild and serious probabilities agree reasonably well with the current air NDL only with the Type A/B scoring and when 0.2% risk of serious DCS is allowed.
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spelling pubmed-53518422017-04-06 The probability and severity of decompression sickness Howle, Laurens E. Weber, Paul W. Hada, Ethan A. Vann, Richard D. Denoble, Petar J. PLoS One Research Article Decompression sickness (DCS), which is caused by inert gas bubbles in tissues, is an injury of concern for scuba divers, compressed air workers, astronauts, and aviators. Case reports for 3322 air and N(2)-O(2) dives, resulting in 190 DCS events, were retrospectively analyzed and the outcomes were scored as (1) serious neurological, (2) cardiopulmonary, (3) mild neurological, (4) pain, (5) lymphatic or skin, and (6) constitutional or nonspecific manifestations. Following standard U.S. Navy medical definitions, the data were grouped into mild—Type I (manifestations 4–6)–and serious–Type II (manifestations 1–3). Additionally, we considered an alternative grouping of mild–Type A (manifestations 3–6)–and serious–Type B (manifestations 1 and 2). The current U.S. Navy guidance allows for a 2% probability of mild DCS and a 0.1% probability of serious DCS. We developed a hierarchical trinomial (3-state) probabilistic DCS model that simultaneously predicts the probability of mild and serious DCS given a dive exposure. Both the Type I/II and Type A/B discriminations of mild and serious DCS resulted in a highly significant (p << 0.01) improvement in trinomial model fit over the binomial (2-state) model. With the Type I/II definition, we found that the predicted probability of ‘mild’ DCS resulted in a longer allowable bottom time for the same 2% limit. However, for the 0.1% serious DCS limit, we found a vastly decreased allowable bottom dive time for all dive depths. If the Type A/B scoring was assigned to outcome severity, the no decompression limits (NDL) for air dives were still controlled by the acceptable serious DCS risk limit rather than the acceptable mild DCS risk limit. However, in this case, longer NDL limits were allowed than with the Type I/II scoring. The trinomial model mild and serious probabilities agree reasonably well with the current air NDL only with the Type A/B scoring and when 0.2% risk of serious DCS is allowed. Public Library of Science 2017-03-15 /pmc/articles/PMC5351842/ /pubmed/28296928 http://dx.doi.org/10.1371/journal.pone.0172665 Text en © 2017 Howle et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Howle, Laurens E.
Weber, Paul W.
Hada, Ethan A.
Vann, Richard D.
Denoble, Petar J.
The probability and severity of decompression sickness
title The probability and severity of decompression sickness
title_full The probability and severity of decompression sickness
title_fullStr The probability and severity of decompression sickness
title_full_unstemmed The probability and severity of decompression sickness
title_short The probability and severity of decompression sickness
title_sort probability and severity of decompression sickness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351842/
https://www.ncbi.nlm.nih.gov/pubmed/28296928
http://dx.doi.org/10.1371/journal.pone.0172665
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