Detecting Potassium Imbalance: Whole Blood vs. Serum.
- Author:
Young Duck CHO
1
;
Sung Hyuk CHOI
;
Young Hoon YOON
;
Sang Min PARK
;
Jung Youn KIM
;
Chae Seung LIM
Author Information
1. Department of Emergency Medicine, Korea University Guro Hospital, Seoul, Korea. kuedchoi@korea.ac.kr
- Publication Type:Original Article
- Keywords:
Point-of-care testing;
Potassium;
Whole blood;
Serum
- MeSH:
Emergencies;
Heart Arrest;
Humans;
Hyperkalemia;
Hypokalemia;
Intracellular Space;
Mass Screening;
Potassium;
Radial Artery;
Silicones;
Syringes;
Vacuum;
Ventricular Fibrillation
- From:Korean Journal of Blood Transfusion
2012;23(2):162-168
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: Potassium, the most common cation in the intracellular space, plays a critical role in our physiology. Potassium imbalance may cause life-threatening problems, ranging from general weakness to cardiac arrest due to ventricular fibrillation. For emergency physicians, detection of such derangement within a short period of time is of critical importance. In this study, we wanted to determine whether analysis of whole blood samples can be used as a screening tool for potassium imbalance by comparative analysis of whole blood and serum samples. METHODS: Two samples were drawn from 227 patients. The whole blood sample was taken from the radial artery and contained in a commercially available arterial blood collection syringe with a lithium-heparin coating. The serum sample was contained in a commercially available vacuum bottle in a non-additive silicone coated tube and transported to the laboratory. The study population was divided into three groups, patients with normal whole blood potassium, patients with decreased whole blood potassium, and patients with elevated whole blood potassium. Potassium levels for each group were coupled with serum potassium levels and compared. RESULTS: No significant difference in potassium values was observed between whole blood and serum samples (P<0.05). Strong associations were observed among the three groups (normal range, hypokalemia, and hyperkalemia group). Compared to the normal group (r=0.851), the hyperkalemia group showed a stronger association between variables (r=0.897), and the hypokalemia group showed a weaker association (r=0.760). Their correlation coefficients were highly significant (P<0.05). CONCLUSION: Our study illustrates that point-of-care testing using whole blood with whole blood can be a reliable screening tool when treating patients with suspicious potassium abnormality, especially in hyperkalemia patients.
