To evaluate glycemic status at the time of admission as a prognostic indicator and to assess it correlates with pseudo-cholinesterase levels and severity of organophosphorus compound poisoning: A prospective study
European Journal of Molecular & Clinical Medicine,
2022, Volume 9, Issue 5, Pages 225-231
AbstractBackground: Acute Organophosphorus poisoning (OP) is prevalent in the world and its numbers are constantly on the rise. It is more common in developing countries. Health Organisation (WHO) has estimated that nearly 2 lakh die from pesticide poisoning in the world. So, it has high inpatient mortality. All OP poisoning patients cannot be managed in ICU. So, it is important to know prognostic indicators at initial assessment. Few studies showed Serum Pseudo-cholinesterase levels and hyperglycemia were used in the initial assessment to know prognosis and severity in acute organophosphorus poisoning. The present study aims to evaluate the glycemic status at the time of admission and its correlation with pseudo-cholinesterase levels and severity in acute OP compound poisoning.
To assess the glycemic status by estimating random blood glucose level at the time of admission in cases of acute organophosphorus poisoning.
To assess the pseudo-cholinesterase level at the time of admission in cases of acute organophosphorus poisoning.
To correlate hyperglycemia with pseudo-cholinesterase levels and severity or clinical outcome of OP poisoning.
Methodology: The prospective study was conducted in tertiary care hospital. After obtaining informed written consent, 100 confirmed acute OP compound poisoning patients were enrolled for the study, underwent a detailed clinical examination as per the proforma. The Random Blood Glucose level and pseudo-cholinesterase levels at the time of admission were measured and patients were monitored closely and continuously for severity of clinical signs and symptoms. The data obtained were statistically analysed by using SPSS 21.0 Version. Results were presented as Mean (Median) ± SD, counts and percentages and diagrams. Association of Categorical variables was found using Chi square test. p<0.05 will be considered statistically significant.
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