Evaluation of the Diagnostic Accuracy of the Most Commonly used Equations for Calculation of Osmolarity in Paediatric Population
Journal Title: Journal of Clinical and Diagnostic Research - Year 2019, Vol 13, Issue 7
Abstract
ABSTRACT Introduction: Serum osmolality is an essential laboratory parameter to understand various clinical disorders including dehydration status, electrolyte disturbances and exogenous intoxication. The measured serum osmolarity by using basic plasma components such as glucose, urea and electrolytes is an indirect indicator of serum osmolality. While several equations are available for calculation of serum osmolarity, their diagnostic predictive accuracy for estimation of serum osmolality remains debatable. Aim: To determine the most accurate equation for calculation of serum osmolarity in Paediatric population. Materials and Methods: The present retrospective study was conducted on 50 apparently healthy children (aged ≤12 years) at Chacha Nehru Bal Chikitsalya, Paediatric Government Hospital, Delhi. Serum urea, sodium, potassium, glucose (Glu) and osmolality values were obtained from the January 2016- December 2016 laboratory records. Osmolarity was calculated using most commonly used nine prediction-equations. Students’ paired t test was used to assess the statistical differences between measured and calculated osmolarity by different equations. Pearson correlation coefficient test was used to analyse the correlation between the calculated osmolarity and measured osmolality. The Bland Altman method and Regression analysis were used to determine the agreement and differential bias between calculated osmolarity and measured osmolality. Results: The mean of measured osmolality was 293.86±10.89 mOsm/kg. The equation for calculating serum osmolarity by Smithline Gardner: 2(Na)+Glu+Urea, (all components were measured in mmol/L) with statistical insignificant difference between the measured osmolality (p-value>0.05), osmolal gap close to zero and maximum r squared value along with the lowest standard error, was best able to predict measured serum osmolality. Conclusion: Assessment of panel of serum osmolarity equations showed that Smithline Gardner equation had best diagnostic accuracy in Paediatric population and therefore we recommend that the equation should be adopted at different clinical and analytical laboratories platforms.
Authors and Affiliations
Neha Uppal, Vibha Uppal
Keywords
Related Articles
- EP ID EP606973
- DOI 10.7860/JCDR/2019/41906.13019
- Views 205
- Downloads 0
Efficacy of Task Oriented Exercise Program Based on Ergonomics on Cobb’s Angle and Pulmonary Function Improvement in Adolescent Idiopathic Scoliosis- A Randomized Control Trial
Introduction: Scoliosis is lateral curvature of the spine greater than 100 accompanied by vertebral rotation. The prime risk factors for curve progression are a large curve magnitude, skeletal immaturity and female gend...
Comparison of Cord Blood Lipid Profile in Preterm Small for Gestational Age and Appropriate for Gestational Age Newborns
Introduction: Coronary heart disease is one of the major causes of morbidity and mortality in current era. The roots of this epidemic have been traced to as early as foetal life by foetal origin hypothesis. There are a f...
Large Isolated Major Aortopulmonary Collateral Artery Causing Severe Pulmonary Hypertension in an Infant: A Rare and Challenging Diagnosis
Major Aortopulmonary Collateral Artery (MAPCA) as an isolated congenital anomaly, without evidence of any structural heart disease, is a very rare observation. Previously published reports indicate that symptomatic infan...
Managing Viral Haemorrhagic Fever in the Emergency Department
ABSTRACT The Emergency Department, regarded as the gateway to healthcare, is frequently the first point of contact for significantly ill patients. Because the initial presentation of a Viral Haemorrhagic Fever (VHF) case...
Comparison of Gingival Biotype between different Genders based on Measurement of Dentopapillary Complex
Introduction: Clinical and aesthetic outcomes after periodontal or implant surgical procedures are determined by anatomical and morphological characteristics of the gingiva like width of keratinized gingiva, thickness of...