{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T04:46:13Z","timestamp":1788410773832,"version":"build-2803163510"},"reference-count":49,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T00:00:00Z","timestamp":1767571200000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100002850","name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["1230844"],"award-info":[{"award-number":["1230844"]}],"id":[{"id":"10.13039\/501100002850","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["ACT210083"],"award-info":[{"award-number":["ACT210083"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["CIA250016 (CPS\u2010RTC)"],"award-info":[{"award-number":["CIA250016 (CPS\u2010RTC)"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["NAM24I0095"],"award-info":[{"award-number":["NAM24I0095"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","doi-asserted-by":"publisher","award":["2023\u201021230255"],"award-info":[{"award-number":["2023\u201021230255"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015464","name":"European Office of Aerospace Research and Development","doi-asserted-by":"publisher","award":["AFOSR\u2010SOARD FA9550\u201024\u20101\u20100248"],"award-info":[{"award-number":["AFOSR\u2010SOARD FA9550\u201024\u20101\u20100248"]}],"id":[{"id":"10.13039\/100015464","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["physoc.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Physiological Reports"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    High\u2010altitude (HA) exposure induces cardiovascular, respiratory, and metabolic adjustments that often impair exercise performance. These physiological responses depend on hypoxic severity, exposure duration, and individual susceptibility. Although full acclimatization generally requires about 7\u2009days, early adaptations can emerge within the first 72\u2009h. This study aimed to characterize these early responses and to evaluate the potential of mathematical modeling to predict HA\u2010related exercise performance decline. Nine healthy volunteers (age: 24.4\u2009\u00b1\u20093.3; weight: 63.7\u2009\u00b1\u200911.8; height: 169.4\u2009\u00b1\u20098.4; female: 44%) completed maximal cardiopulmonary exercise tests under three conditions: at sea level (SL), and at 3015\u2009m after 12\u2009h (HA12h) and 60\u2009h (HA60h) of exposure. Although 60\u2009h at HA was insufficient for full acclimatization, significant differences were observed between HA12h and HA60h, indicating partial physiological adaptation. Maximal power output declined at both HA time points. Notably, HA\u2010induced performance deterioration was accurately predicted (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.81) using SL\u2010derived parameters, particularly maximal oxygen pulse (\n                    <jats:italic>VO<\/jats:italic>\n                    <jats:sub>2<\/jats:sub>\n                    \/\n                    <jats:italic>HR<\/jats:italic>\n                    <jats:sub>max<\/jats:sub>\n                    ) and the ventilatory equivalent for carbon dioxide (\n                    <jats:italic>VE<\/jats:italic>\n                    \/\n                    <jats:italic>VCO<\/jats:italic>\n                    <jats:sub>2<\/jats:sub>\n                    ). These findings provide novel insights into early physiological responses to HA and support the development of individualized, model\u2010based tools to anticipate performance loss and optimize training and acclimatization strategies.\n                  <\/jats:p>","DOI":"10.14814\/phy2.70711","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T08:55:29Z","timestamp":1767603329000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Physiological responses to short\u2010term high\u2010altitude acclimatization: Insights from predictive modeling approaches"],"prefix":"10.14814","volume":"14","author":[{"given":"Valeria","family":"P\u00e1ez","sequence":"first","affiliation":[{"name":"Institute for Biological and Medical Engineering Pontificia Universidad Cat\u00f3lica de Chile  Santiago Chile"},{"name":"Exercise Applied Physiology Laboratory, Biomedical Department, Faculty of Health Sciences Universidad de Antofagasta  Antofagasta Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sofia","family":"Lozano","sequence":"additional","affiliation":[{"name":"Institute for Biological and Medical Engineering Pontificia Universidad Cat\u00f3lica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danixza","family":"Calfil","sequence":"additional","affiliation":[{"name":"Institute for Biological and Medical Engineering Pontificia Universidad Cat\u00f3lica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David Crist\u00f3bal","family":"Andrade","sequence":"additional","affiliation":[{"name":"Exercise Applied Physiology Laboratory, Biomedical Department, Faculty of Health Sciences Universidad de Antofagasta  Antofagasta Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1966-2920","authenticated-orcid":false,"given":"Maria","family":"Rodriguez\u2010Fernandez","sequence":"additional","affiliation":[{"name":"Institute for Biological and Medical Engineering Pontificia Universidad Cat\u00f3lica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,5]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2024.1422927"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1249\/JES.0000000000000233"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.167.2.211"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2018.00767"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42978-021-00150-0"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0100642"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00909.2015"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-51202-8"},{"key":"e_1_2_11_10_1","first-page":"301","article-title":"Doctor AI: Predicting clinical events via recurrent neural networks","volume":"56","author":"Choi E.","year":"2016","journal-title":"JMLR Workshop and Conference Proceedings"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00421-007-0554-0"},{"key":"e_1_2_11_12_1","first-page":"59","article-title":"Applications of machine learning in cancer prediction and prognosis","volume":"2","author":"Cruz J. A.","year":"2007","journal-title":"Cancer Informatics"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02332216"},{"key":"e_1_2_11_14_1","unstructured":"Direcci\u00f3n Meteorol\u00f3gica de Chile. (2006).Ficha de la Estaci\u00f3n [Internet].https:\/\/climatologia.meteochile.gob.cl\/application\/informacion\/fichaDeEstacion\/330119"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2022.1046166"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-201X.1998.0299f.x"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.3109\/07420528.2015.1113804"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jelekin.2007.10.010"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2014.11.005"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12121677"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms24021698"},{"key":"e_1_2_11_22_1","unstructured":"MathWorks Inc. (2025a).fsrmrmr: Feature selection using minimum redundancy maximum relevance (MRMR). MATLAB Statistics and Machine Learning Toolbox Documentation.https:\/\/www.mathworks.com\/help\/stats\/fsrmrmr.html"},{"key":"e_1_2_11_23_1","unstructured":"MathWorks Inc. (2025b).relieff: Feature ranking using ReliefF algorithm. MATLAB Statistics and Machine Learning Toolbox Documentation.https:\/\/www.mathworks.com\/help\/stats\/relieff.html"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1089\/ham.2010.1006"},{"key":"e_1_2_11_25_1","doi-asserted-by":"publisher","DOI":"10.1089\/ham.2019.0130"},{"key":"e_1_2_11_26_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2023.1110477"},{"issue":"1","key":"e_1_2_11_27_1","first-page":"111","article-title":"Exercise and training at altitudes: Physiological effects and protocols","volume":"12","author":"Pinilla V.","year":"2014","journal-title":"Revista Ciencias de la Salud"},{"key":"e_1_2_11_28_1","doi-asserted-by":"publisher","DOI":"10.1152\/jappl.1995.79.2.487"},{"key":"e_1_2_11_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.06.011"},{"key":"e_1_2_11_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41569-023-00924-9"},{"key":"e_1_2_11_31_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201108-1396OC"},{"key":"e_1_2_11_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.resp.2007.03.008"},{"key":"e_1_2_11_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e14929"},{"key":"e_1_2_11_34_1","doi-asserted-by":"publisher","DOI":"10.1113\/EP089194"},{"key":"e_1_2_11_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103110"},{"key":"e_1_2_11_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2024.112213"},{"key":"e_1_2_11_37_1","doi-asserted-by":"publisher","DOI":"10.1152\/ajpregu.90772.2008"},{"key":"e_1_2_11_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/08037050903047160"},{"key":"e_1_2_11_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2019.09.034"},{"key":"e_1_2_11_40_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2017.00180"},{"key":"e_1_2_11_41_1","doi-asserted-by":"publisher","DOI":"10.1157\/13057536"},{"key":"e_1_2_11_42_1","doi-asserted-by":"publisher","DOI":"10.1152\/ajpregu.00021.2023"},{"key":"e_1_2_11_43_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2024.1397280"},{"key":"e_1_2_11_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00421-005-0081-9"},{"issue":"5","key":"e_1_2_11_45_1","first-page":"628","article-title":"Using machine learning to determine the correlation between physiological and environmental parameters and the induction of acute mountain sickness","volume":"22","author":"Wei C. Y.","year":"2022","journal-title":"BMC Bioinformatics"},{"key":"e_1_2_11_46_1","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1949.sp004363"},{"key":"e_1_2_11_47_1","unstructured":"WHOA healthy lifestyle \u2013 WHO recommendations [Internet].https:\/\/www.who.int\/europe\/news\u2010room\/fact\u2010sheets\/item\/a\u2010healthy\u2010lifestyle\u2010\u2010\u2010who\u2010recommendations"},{"key":"e_1_2_11_48_1","doi-asserted-by":"publisher","DOI":"10.1096\/fasebj.29.1_supplement.957.8"},{"key":"e_1_2_11_49_1","unstructured":"MathWorks Inc. fsrmrmr: Feature selection using minimum redundancy maximum relevance (MRMR). MATLAB Statistics and Machine Learning Toolbox Documentation 2025. Available at: https:\/\/www.mathworks.com\/help\/stats\/fsrmrmr.html"},{"key":"e_1_2_11_50_1","unstructured":"MathWorks Inc. relieff: Feature ranking using ReliefF algorithm. MATLAB Statistics and Machine Learning Toolbox Documentation 2025. Available at: https:\/\/www.mathworks.com\/help\/stats\/relieff.html"}],"container-title":["Physiological Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/physoc.onlinelibrary.wiley.com\/doi\/pdf\/10.14814\/phy2.70711","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/physoc.onlinelibrary.wiley.com\/doi\/full-xml\/10.14814\/phy2.70711","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/physoc.onlinelibrary.wiley.com\/doi\/pdf\/10.14814\/phy2.70711","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T18:17:42Z","timestamp":1768501062000},"score":1,"resource":{"primary":{"URL":"https:\/\/physoc.onlinelibrary.wiley.com\/doi\/10.14814\/phy2.70711"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":49,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.14814\/phy2.70711"],"URL":"https:\/\/doi.org\/10.14814\/phy2.70711","archive":["Portico"],"relation":{},"ISSN":["2051-817X","2051-817X"],"issn-type":[{"value":"2051-817X","type":"print"},{"value":"2051-817X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"2025-07-10","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-12-10","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-01-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70711"}}