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  • WJPPS APRIL ISSUE PUBLISHED
  • APRIL 2019 Issue has been successfully launched on 1 April 2019

  • WJPPS Impact Factor
  • Its our Pleasure to Inform you that WJPPS Impact Factor has been increased from 6.647 to 7.421 due to high quality Publication at International Level

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  • WJPPS Rank with Index Copernicus Value 84.65 due to high reputation at International Level

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Abstract

CORRELATION OF LABORATORY INVESTIGATIONS BASED ON DISEASE CONFIRMATION OF STROKE- GRAPHICAL REPRESENTATION OF VARIOUS ORGANS TO DISEASE CONFIRMATION

Sravani Gampala* and Satya Siva Prasad

ABSTRACT

Stroke is a devastating condition encompassing a wide range of pathophysiological entities that include thrombosis, hemorrhage, and embolism. Current diagnosis of stroke relies on physician clinical examination and is further supplemented with various neuroimaging techniques. A single set or multiple sets of blood biomarkers that could be used in an acute setting to diagnosis stroke, differentiate between stroke types, or even predict an initial/reoccurring stroke would be extremely valuable. We discuss the current classification, diagnosis, and treatment of stroke, focusing on use of novel biomarkers (either solitary markers or multiple markers within a panel) that have been studied in a variety of clinical settings. From the study it can be concluded that very few cases are confirmed without having proper diagnostic tests, this may lead to in-appropriate diagnosis as well as treatment. Were as, confirmation of disease with proper lab investigation will lead to rational therapy which ultimately provides better patient care and decreases the length of hospital stay. Though in few cases patient did not opt for those costly diagnostic tests which were ordered, an appropriate government policy should be developed so that not only treatment but also diagnosis can reach to every citizen, which ultimately leading to better health care and less socio-economic burden.

Keywords: Institutional ethics committee (IEC), Confirmational diagnosis, Stroke, Graphical representation, Disease confirmation.


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