Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Porta, S; Kisters, K; Korisek, G; Desch, G; Porta, J; Gell, H.
Differences in electrolyte mismanagement between normotonic and hypertonic Type 2 diabetics detectable by correlative capillary blood evaluation
TRACE ELEM ELECTROLYTES. 2011; 28(1): 31-36.
Doi: 10.5414/TEP28031
Web of Science
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- Führende Autor*innen der Med Uni Graz
- Porta Sepp
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- Abstract:
- Out of 100 microliters of capillary blood of 32 normotonic and 55 hypertonic (RR at least 140/100) diabetic patients, the following parameters were determined at 09:00 a.m.: pH, pCO(2), baseexcess, HCO3, pO(2), O(2)sat., Na, Ca, Mg, K, lactate and blood glucose. Group averages of the normotonic and hypertonic patients did not show any significant differences in the parameters mentioned. But when we split the 2 groups along their glucose averages, forming 4 subgroups with higher and lower glucose levels, significant differences between Mg and K in the respective groups were evident, pointing towards an increase in electrolyte metabolism due to both hyperglycemia and hypertonia. Linear regressions between Mg, glucose and pH within the four groups increased circumstantial evidence for our supposition of increased electrolyte metabolism being attributable to both hyperglycemia and hypertonia, considerably. It turned out that high blood glucose alone already increases electrolyte metabolism, shown by positive correlations with Mg and glucose and negative correlations between Mg and pH which culminates in the highest Mg values along with highest glucose and lowest pH values in patients with combined hyperglycemia and hypertonia. Although we partly drew similar conclusions in a former paper [14], the step forward in the present work is that results won by comparison of parameter changing (delta values) between two sampling events can be confirmed by using the directly determined data of just a single sample. Thus, appropriately processed data and comparatively simple mathematical operations like implementation of linear regressions do not only detect significant differences hidden behind similar group averages, but also considerably curtail the necessary diagnostic blood sampling.
- Find related publications in this database (Keywords)
- Mg
- Ca
- K
- pH
- blood glucose and hypertonia
- parameter correlation