Literature DB >> 17591130

Stability of the strong ion gap versus the anion gap over extremes of PCO2 and pH.

T J Morgan1, D M Cowley, S L Weier, B Venkatesh.   

Abstract

The strong ion gap (SIG) is under evaluation as a scanning tool for unmeasured ions. SIG is calculated by subtracting [buffer base], which is ([A-]+[HCO3-), from the apparent strong ion difference, which is ([Na+]+[K+]+[Ca++]+[Mg++]-[Cl-]-[L-lactate]). A- is the negative charge on albumin and phosphate. We compared the pH stability of the SIG with that of the anion gap (AG). In normal and hypoalbuminaemic hyperlactaemic blood, PCO2 was reduced stepwise in vitro from >200 mmHg to <20 mmHg, with serial blood gas and electrolyte analyses, and [albumin] and [phosphate] measurement on completion. Respective [haemoglobin], [albumin], [phosphate] and [lactate] in normal blood were 156 (0.9) g/l, 44 (2) g/l, 1.14 (0.06) mmol/l and 1.7 (0.8) mEq/l, and in hypoalbuminaemic blood 116 (0.9) g/l, 24 (2) g/l, 0.78 (0.06) mmol/l and 8.5 (0.5) mEq/l. pH increased from < 6.85 to > 7.55, causing significant falls in [Na+] and elevations in [Cl-]. Initial and final SIG values did not differ, showing no correlation with pH. Mean SIG was 0.5 +/- 1.5 mEq/l. AG values were directly correlated with pH (normal: R2 = 0.51, hypoalbuminaemic: R2 = 0.65). Final AG values significantly exceeded initial values (normal blood: 15.9 (1.7) mEq/l versus 8.9 (1.8) mEq/l, P < 0.01; hypoalbuminaemic blood: 16.5 (0.8) mEq/l versus 11.8 (2.0) mEq/l, P < 0.05). We conclude that, unlike the AG, the SIG is not affected by severe respiratory acidosis and alkalosis, enhancing its utility in acid-base disturbances.

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Year:  2007        PMID: 17591130     DOI: 10.1177/0310057X0703500308

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  10 in total

1.  Strong ion gap and outcome after cardiac arrest: another nail in the coffin of traditional acid-base quantification.

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2.  The Stewart approach--one clinician's perspective.

Authors:  T John Morgan
Journal:  Clin Biochem Rev       Date:  2009-05

Review 3.  Has Stewart approach improved our ability to diagnose acid-base disorders in critically ill patients?

Authors:  Fabio D Masevicius; Arnaldo Dubin
Journal:  World J Crit Care Med       Date:  2015-02-04

4.  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
Journal:  J Anesth       Date:  2018-05-03       Impact factor: 2.078

5.  Association of unmeasured strong ions with outcome of hospitalized beef and dairy diarrheic calves.

Authors:  Diego E Gomez; Jeanne Lofstedt; Luis G Arroyo; Maureen Wichtel; Tammy Muirhead; Henri Stämpfli; J Trenton McClure
Journal:  Can Vet J       Date:  2017-10       Impact factor: 1.008

6.  Effect of the independent acid base variables on anion gap variation in cardiac surgical patients: a Stewart-Figge approach.

Authors:  Michalis Agrafiotis; Ilias Keklikoglou; Sofia Papoti; George Diminikos; Konstantinos Diplaris; Vassileios Michaelidis
Journal:  ScientificWorldJournal       Date:  2014-02-03

Review 7.  Traditional approach versus Stewart approach for acid-base disorders: Inconsistent evidence.

Authors:  Satoshi Kimura; Muhammad Shabsigh; Hiroshi Morimatsu
Journal:  SAGE Open Med       Date:  2018-09-25

8.  Acid/base alterations during major abdominal surgery: 6% hydroxyethyl starch infusion versus 5% albumin.

Authors:  Hyun Jeong Kwak; Oh Kyung Lim; Jae Myung Baik; Youn Yi Jo
Journal:  Korean J Anesthesiol       Date:  2018-04-24

9.  Unmeasured anions: the unknown unknowns.

Authors:  Bala Venkatesh; Thomas J Morgan
Journal:  Crit Care       Date:  2008-02-05       Impact factor: 9.097

10.  Physicochemical Approach to Determine the Mechanism for Acid-Base Disorders in 793 Hospitalized Foals.

Authors:  D E Gomez; N M Biermann; L C Sanchez
Journal:  J Vet Intern Med       Date:  2015-08-10       Impact factor: 3.333

  10 in total

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