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Acid‐Base Compensation During Incremental Ascent to High Altitude

2018· article· en· W3174781191 on OpenAlexaffabout
Shaelynn M. Zouboules, Heidi E. Nysten, Tom D. Brutsaert, Cassandra E. Nysten, Ken D. O’Halloran, Craig D. Steinback, Mingma Sherpa, Trevor A. Day

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of AlbertaRed Deer Regional HospitalMount Royal University
Fundersnot available
KeywordsEffects of high altitude on humansHypocapniaAcetazolamideRespiratory alkalosisBase excessAlkalosisAcid–base homeostasisRespiratory compensationBicarbonateMetabolic alkalosisRespiratory acidosisAcidosisHypoxic ventilatory responseAltitude (triangle)ChemistryInternal medicineMedicineRespiratory systemMetabolic acidosisHypercapniaAnaerobic exerciseAnatomyPhysiology

Abstract

fetched live from OpenAlex

Ascent to high altitude, and the associated hypoxic ventilatory response, imposes an acid‐base challenge, namely chronic hypocapnia and respiratory alkalosis. The kidneys act to compensate for this respiratory alkalosis via bicarbonate (HCO 3 − ) excretion in urine to induce a compensatory metabolic acidosis. Although the importance of renal responsiveness through acid‐base modifications is well‐defined, the time course and extent of plasticity in this response during incremental ascent to altitude is unclear. Thus, we developed a practical index of renal reactivity (RR), indexing the relative change in arterial HCO 3 − concentration ([HCO 3 − ] a ; i.e., response) against the relative change in arterial partial pressure of CO 2 (PaCO 2 ; i.e., stimulus) during incremental ascent to high altitude (RR=Δ[HCO 3 − ] a /ΔPaCO 2 ). We sought to assess (1) if RR increased over time and with incremental ascent to high altitude and (2) if RR was correlated with relative changes in arterial pH (ΔpH a ) throughout ascent. During ascent to 5160 m over 10 days in the Nepal Himalaya, arterial blood was drawn from the radial artery for measurement of acid‐base variables (Abbott i‐STAT portable blood gas/electrolyte analyzer; CG4+ and CHEM8+ cartridges) in lowlanders at 1045/1400 m (baseline) and at four different altitudes following one‐night sleep: 3440 m (n=18), 3820 m (n=17), 4370 m (n=15) and 5160 m (n=13). At 3820 m (day five of altitude exposure) and higher, RR significantly increased and plateaued in comparison to 3440 m (day three of altitude exposure; P<0.04), suggesting plasticity in renal acid‐base compensation. At all four altitudes, we observed a strong correlation (range: r=−0.71 to −0.98; P<0.001) between RR and relative ΔpH a from baseline, suggesting that the RR index accurately quantified acid‐base responsiveness via renal mechanisms throughout ascent. In conclusion, renal acid‐base compensation mechanisms demonstrate plasticity and a unique time course during incremental ascent to high altitude, which was detected using a novel RR index. The extent of plasticity and plateau in renal responsiveness may predict severity of altitude illness or acclimatization at higher or more prolonged stays at altitude. Support or Funding Information This work was supported by (a) Alberta Government Student Temporary Employment Program, (b) Alberta Innovates Health Solutions Summer Studentship, and (c) Natural Sciences and Engineering Research Council of Canada Discovery grant. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.253
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes2
Has abstractyes

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