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Article

ABG Assistant—Towards an Understanding of Complex Acid-Base Disorders

1
Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, Rokietnicka 8, 60-806 Poznan, Poland
2
Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Olga Golubnitschaja
J. Clin. Med. 2021, 10(7), 1516; https://doi.org/10.3390/jcm10071516
Received: 6 February 2021 / Revised: 30 March 2021 / Accepted: 2 April 2021 / Published: 5 April 2021
(This article belongs to the Special Issue Predictive Diagnostics and Personalized Treatment)
The ability to diagnose acid-base imbalances correctly is essential for physicians and other healthcare workers. Despite its importance, it is often considered too complex and confusing. Although most people dealing with arterial blood gases (ABGs) do not usually have problems with acid-base disorder assessment, such an analysis is also carried out by other healthcare workers for whom this can be a challenging task. Many aspects may be problematic, partly due to multiple data analysis methods and no definitive statement on which one is better. According to our survey, the correctness of arterial blood gas analysis is unsatisfactory, especially in mixed disorders, which do not always manifest an obvious set of symptoms. Therefore, ABG parameters can be used as an established biomarker panel, which is considered to be a powerful tool for personalized medicine. Moreover, using different approaches to analyze acid-base disorders can lead to varying diagnoses in some cases. Because of these problems, we developed a mobile application that can spot diagnostic differences by taking into account physiological and chemical approaches, including their variants, with a corrected anion gap. The proposed application is characterized by a high percentage of correct analyses and can be an essential aid for diagnosing acid-base disturbances. View Full-Text
Keywords: arterial blood gas; acid-base; mixed disorders; ABG algorithm; corrected AG; evaluation of acid-base disorders; acidosis; alkalosis; prediction; diagnostics; personalized patient profiling; ABG application arterial blood gas; acid-base; mixed disorders; ABG algorithm; corrected AG; evaluation of acid-base disorders; acidosis; alkalosis; prediction; diagnostics; personalized patient profiling; ABG application
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MDPI and ACS Style

Gutowski, Ł.; Gutowska, K.; Brożek, A.; Nowicki, M.; Formanowicz, D. ABG Assistant—Towards an Understanding of Complex Acid-Base Disorders. J. Clin. Med. 2021, 10, 1516. https://doi.org/10.3390/jcm10071516

AMA Style

Gutowski Ł, Gutowska K, Brożek A, Nowicki M, Formanowicz D. ABG Assistant—Towards an Understanding of Complex Acid-Base Disorders. Journal of Clinical Medicine. 2021; 10(7):1516. https://doi.org/10.3390/jcm10071516

Chicago/Turabian Style

Gutowski, Łukasz; Gutowska, Kaja; Brożek, Alicja; Nowicki, Marcin; Formanowicz, Dorota. 2021. "ABG Assistant—Towards an Understanding of Complex Acid-Base Disorders" J. Clin. Med. 10, no. 7: 1516. https://doi.org/10.3390/jcm10071516

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