Bazett's correction formula overestimates the corrected QT among patients with antipsychotic induced tachycardia

2021 ◽  
Vol 231 ◽  
pp. 22-23
Author(s):  
Teodora Andric ◽  
Karl Winckel ◽  
Timothy Tanzer ◽  
Samantha Hollingworth ◽  
Katherine Isoardi ◽  
...  
Keyword(s):  
Author(s):  
Andrew K Posen ◽  
Frank P Paloucek ◽  
Renee Petzel Gimbar

Abstract Disclaimer In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose The anion gap is a calculated fundamental laboratory parameter used to identify and monitor acid-base disturbances. A recently popularized correction formula transforms the resulting integer to compensate for hypoalbuminemia and improve diagnostic yield. Clinical pharmacists should be aware of the underlying biochemistry, interpretation, and limitations of this formula to discern drug- and disease-related etiologies. Summary The anion gap is utilized in most care settings, ranging from outpatient monitoring to inpatient intensive care units. Supported by decades of experience, the original anion gap derives its value from its simplicity. Applying the anion gap in metabolic acidosis can help narrow differential diagnosis and detect concomitant acid-base disorders. To account for hypoalbuminemia and potential missed diagnoses, a correction formula was developed to improve sensitivity. Yet, the law of electroneutrality ensures that hypoalbuminemia is already accounted for in the original anion gap, and the proposed correction formula was derived from samples unrepresentative of human physiology. Evidence from clinical trials shows no benefit from applying the correction formula. Conclusion There is no advantage to correcting the anion gap, and such correction may increase the risk of misinterpretation or error. Clinicians should understand these limitations when diagnosing or trending acid-base disturbances.


The Lancet ◽  
1984 ◽  
Vol 324 (8406) ◽  
pp. 812 ◽  
Author(s):  
A.Myron Johnson ◽  
Lauren Lingley

Author(s):  
A M A Hammouda ◽  
G E Mady

The measurement of carbamylated haemoglobin is a useful indicator of uraemic state during the preceding few weeks in patients with renal failure. In diabetic uraemic patients with hyperglycaemia, glycation of haemoglobin may interfere with its carbamylation, as both reactions involve the free amino groups of the protein. The aim of this study was to investigate the carbamylation of haemoglobin in the presence of hyperglycaemia. The study included 29 patients with chronic renal failure on regular haemodialysis, 14 diabetic and 15 non-diabetic patients, and 10 healthy controls. We found a significant correlation between the degree of haemoglobin carbamylation and mean blood urea concentration in both uraemic and control subjects. Carbamylation of haemoglobin was higher in both diabetic and non-diabetic chronic renal failure patients, but there were no significant differences between the groups regarding mean blood urea concentration or level of haemoglobin carbamylation. Carbamylated haemoglobin per unit of blood urea concentration was lower in the diabetic patients. Using a correction formula to account for the degree of haemoglobin glycation, there was no longer a significant difference in carbamylation per unit of blood urea concentration. In vitro incubation of red blood cells from six healthy and six diabetic non-uraemic patients in 70mmol/L urea showed a significantly lower carbamylation in the diabetic patients, but there was no significant difference when using corrected carbamylated haemoglobin values. We conclude that glycation of haemoglobin affects its carbamylation and that monitoring of uraemia in a diabetic patient necessitates the use of carbamylated haemoglobin value corrected for the degree of glycation.


1978 ◽  
Vol 9 (3-4) ◽  
pp. 145-160 ◽  
Author(s):  
Keld Rømer Rasmussen ◽  
Christian Halgreen

The effect of gauge height, exposure and screening on systematic errors in rainfall estimation is investigated. Adhesion losses are found to be more than 2% of the annual precipitation, but for summer periods alone it can amount to over 5%. A statistical model using the square root of observations (corrected for adhesion) is found to be adequate to describe differences due to the aerodynamic effects. A correction formula is proposed.


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