Evaluation of the FAST HUG implementation effect on the mortality and length of stay in admitted patient in Intensive Care Unit (ICU) of a hospital
DOI:
https://doi.org/10.22317/jcms.v9i6.1341Keywords:
Fasthug ,, ICuAbstract
Objective: We aimed to determine new version of the FAST HUG implementation effect on the mortality and length of stay in admitted
patient in Intensive Care Unit (ICU) of a hospital.
Methods: We conducted a prospective cohort study on 406 patients who admitted in medical and surgical ICU of Imam Hossein Hospital
of Tehran province in Iran from July 1, 2022, to September 30, 2022. We identified predictors of ICU mortality by logistic regression model,
predictors of 28-day mortality/re-hospitalization/recovery by generalized ordered logit model, predictors of length of stay (LOS) by linear
regression, predictors of mechanical ventilation by generalized ordered logit and predictors of SOFA score by hurdle model.
Results: This mnemonic had protective impact (OR = 0.56, P-value = 0.01) on the 28-days mortality. One unit increase in mean of FAST HUG
score had a preventive effect on the outcome of death (OR = 0.21). Surgical admission type (Coefficient = –3.24, P-value = 0.00) and FAST
HUG implementation (Coefficient =1.58, P-value= 0.0) were strongest factors on the LOS.
Conclusion: Our study results approved the importance of the FAST HUG implementation on the decrease of patient mortality in ICU and
28 days after discharge. Additionally, this checklist had a statistically significant role in declining SOFA scores in ICU patients.
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