Clinical Medicine and Diagnostics
p-ISSN: 2163-1433 e-ISSN: 2163-1441
2017; 7(5): 107-112
doi:10.5923/j.cmd.20170705.01
Suhail A. Malik1, Mosin S. Khan2, Syed Mudassar2, Parvaiz A. Koul1
1Department of Internal Medicine, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India
2Department of Clinical Biochemistry, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India
Correspondence to: Parvaiz A. Koul, Department of Internal Medicine, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, India.
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Although limited data is available regarding the clinical and etiological spectrum of patients with hypokalemia in developing countries no study has systematically addressed the etiology of hypokalemia by adopting an algorithmic based approach. Keeping in view the nature and presence of hypokalemia in this region, a comprehensive study was undertaken to study the clinical and etiological profile of patients with Hypokalemia. One hundred forty-three (n=143) patients were included in the study with detailed examination and history. Biochemical analysis was done by Automatic Biochemistry and Immunoassay analyzer. Serum and urinary electrolytes along with blood gases were obtained in all patients using a blood gas analyzer. Urine osmolality was measured by freezing point method. On the basis of urinary K+ levels, extra renal loss (K+ < 15mml/l) was observed in 55.2% of patients compared to 44.8% having renal loss (K+ ≥ 15mml/l). Extra renal loss group (n=79) was further evaluated on the basis of Acid/Base status. Among the 79 patients 09% (07 of 79), 70% (55 of 79) and 21% (17 of 79) were having acidosis, normal pH and alkalosis respectively. Renal group was sub grouped on the basis of TTKG. 34 of 64 (53%) patients were having TTKG ≥ 4 compared to 30 out of 64 (47%) patients with TTKG < 4. In patients with TTKG ≥ 4 only 15 out of 34 (44%) patients were hypertensive compared to 56% (19 of 34) normotensive/hypotensive patients. A systematic algorithm based workup is recommended to decipher the potential cause and its elimination in the final management of hypokalemia.
Keywords: Hypokalemia, Algorithm, Renal loss, Urinary, Potassium
Cite this paper: Suhail A. Malik, Mosin S. Khan, Syed Mudassar, Parvaiz A. Koul, Clinical and Etiological Profile of Hypokalemia: A Prospective Study in a Tertiary Care Hospital, Clinical Medicine and Diagnostics, Vol. 7 No. 5, 2017, pp. 107-112. doi: 10.5923/j.cmd.20170705.01.
![]() | Figure 1. Symptoms attributable to hypokalemia |
![]() | Figure 2. ECG changes in hypokalemia |
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![]() | Figure 3. Diagnostic Algorithm of Hypokalemia (DKA; Diabetic Ketoacidosis, RTA; Renal tubular Acidosis, K+; Potassium, Cl+; Chloride, TTKG; Trans tubular potassium gradient.) |