Independent variables of pH: Ten Knights of the Hydrogen Ion Kingdom-Part I. A prospective observational study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 09 05 2024
accepted: 22 06 2024
medline: 10 7 2024
pubmed: 10 7 2024
entrez: 10 7 2024
Statut: epublish

Résumé

CO2, HCO3, SID, and total weak acids have been defined as pH's independent variables. However, according to Gamble, HCO3 should be equal to the difference between the sum of cations and the sum of anions besides HCO3. Therefore, if this mathematical expression is substituted for HCO3 in the Henderson-Hasselbalch equation, all independent variables of pH can be demonstrated. Our aim is to test this theory in this study. This prospective observational study was conducted between 2019 and 2020. All admitted patients to the intensive care unit who were >18 years old were included. Demographic data, blood gas parameters, albumin, magnesium, and inorganic phosphorus levels, and outcomes were recorded twice (at admission and at the 24th hour). The multivariate linear regression model was used to determine pH's independent variables. In the multivariate linear regression model, pH was significantly increased by each unit increase in Na, K, Ca, and Mg (mmol L-1). In contrast, pH was significantly decreased by each unit increase in CO2, Cl, lactate, albumin (g dL-1), inorganic phosphorus (mg dL-1), and the strong ion gap. Ten independent variables can accurately predict the changes in pH. For this reason, all ten independent variables should be separately evaluated when interpreting the acid-base status. With this understanding, all algorithms regarding acid-base evaluation may become unnecessary.

Identifiants

pubmed: 38985737
doi: 10.1371/journal.pone.0306756
pii: PONE-D-24-16346
doi:

Substances chimiques

Magnesium I38ZP9992A
Bicarbonates 0
Carbon Dioxide 142M471B3J
Phosphorus 27YLU75U4W

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0306756

Informations de copyright

Copyright: © 2024 Gucyetmez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interest exist.

Auteurs

Bulent Gucyetmez (B)

Department of Anesthesiology and Reanimation, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey.

Kaan Gucyetmez (K)

Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States of America.

Zeynep Tugce Sarikaya (ZT)

Department of Anesthesiology and Reanimation, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey.

Lutfi Telci (L)

General Intensive Care Unit, Acibadem International Hospital, Istanbul, Turkey.

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Classifications MeSH