Authors :
A K Simalti, Badal Parikh, Pramod Garg
Volume/Issue :
Volume 5 - 2020, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3c8X9P5
DOI :
10.38124/IJISRT20APR695
Abstract :
Ability to quantify the severity of the patient and
predict the probability of death based on the clinical
state of admitted child can help decision making
selection of treatments, ethical issues and economic
strategies. To analyze clinical and demographic profile of
children admitted in PICU and predictive value of
PRISM score. It was a prospective, observational, Clinical study.
Minimal sample size for the sample to be representative
was 240 .Consecutive type of non-probability sampling
was used during the study. Receiver operator
characteristic curve analysis was done for evaluating
the efficacy of PRISM Score to predict mortality.
Keywords :
PICU; Clinical profile; PRISM
Ability to quantify the severity of the patient and
predict the probability of death based on the clinical
state of admitted child can help decision making
selection of treatments, ethical issues and economic
strategies. To analyze clinical and demographic profile of
children admitted in PICU and predictive value of
PRISM score. It was a prospective, observational, Clinical study.
Minimal sample size for the sample to be representative
was 240 .Consecutive type of non-probability sampling
was used during the study. Receiver operator
characteristic curve analysis was done for evaluating
the efficacy of PRISM Score to predict mortality.
Keywords :
PICU; Clinical profile; PRISM
