Literature DB >> 30953221

A simplified quantitative acid-base approach for patients with acute respiratory diseases.

Michalis Agrafiotis1, Maria Papathanassiou2, Christos Karachristos2, Eleni Kerezidou2, Stavros Tryfon2, Evangelia Serasli2, Diamantis Chloros2.   

Abstract

The Stewart-Figge acid-base model has been criticized for being mathematically complex. We aimed to develop simpler formalisms, which can be used at the bedside. The following simplifications were used: (1) [Ca2+] and [Mg2+] are replaced by their mid-reference concentrations (2) pH is set to 7.4. In the new model [SIDa] is replaced by its adjusted form, [SIDa, adj] = [Na+] + [K+] - [Cl-] + 6.5 and [SIG] is replaced by "bicarbonate gap", [BICgap] = [SIDa, adj] - (0.28⋅[Albumin]) - (1.82⋅[Phosphatei])- [HCO3̄]. The diagnostic performance of the model was tested in 210 patients with acute respiratory diseases and 17 healthy volunteers. [BICgap] was also compared to albumin-corrected anion gap ([AGc]). The concordant correlation coefficient between [SIDa, adj] and [SIDa] and between [BICgap] and [SIG] was 0.98 in both comparisons. The mean bias (limits of agreement) of [SIDa, adj] - [SIDa] and of [BICgap] - [SIG] were 0.53 meq/l (- 0.46 to 1.53) and 0.50 meq/l (- 0.70 to 1.70), respectively. A [SIDa, adj] < 50.4 meq/l had an accuracy of 0.995 (p < 0.001) for the diagnosis of strong ion (SI) acidosis, while a [SIDa, adj] > 52.5 meq/l had an accuracy of 0.997 (p < 0.001) for the diagnosis of SI alkalosis. A [BICgap] > 11.6 meq/l predicted unmeasured ion (UI) acidosis with an accuracy of 0.997 (p < 0.001), while an [AGc] > 19.88 meq/l predicted UI acidosis with an accuracy of 0.994 (p < 0.001). The "[BICgap] model" is a reliable tool for the assessment of acid-base disorders in patients with acute respiratory diseases. [BICgap] is not inferior to [AGc] in the diagnosis of UI acidosis.

Entities:  

Keywords:  Anion gap; Base excess; Metabolic acidosis; Stewart-Figge acid–base model; Unmeasured ions

Mesh:

Substances:

Year:  2019        PMID: 30953221     DOI: 10.1007/s10877-019-00302-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  20 in total

1.  Index for rating diagnostic tests.

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5.  A concordance correlation coefficient to evaluate reproducibility.

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6.  Diagnosis of metabolic acid-base disturbances in critically ill patients.

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7.  Comparison of three different methods of evaluation of metabolic acid-base disorders.

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8.  Comparison of a new simplified acid-base tool to the original Stewart-Figge approach: a study on cardiac surgical patients.

Authors:  Michalis Agrafiotis; Dimitrios Mpliamplias; Maria Papathanassiou; Fotini Ampatzidou; Georgios Drossos
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9.  Use of sodium-chloride difference and corrected anion gap as surrogates of Stewart variables in critically ill patients.

Authors:  Jihad Mallat; Stéphanie Barrailler; Malcolm Lemyze; Florent Pepy; Gaëlle Gasan; Laurent Tronchon; Didier Thevenin
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

10.  Lactate versus non-lactate metabolic acidosis: a retrospective outcome evaluation of critically ill patients.

Authors:  Kyle J Gunnerson; Melissa Saul; Shui He; John A Kellum
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