الفهرس 
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Abstract
Severe burns induce considerable metabolic disruptions, making
nutritional assistance all the more critical and difficult for burned patients.
Burn damage results in a long-term hypermetabolic state and enhanced
catabolism, which leads to muscular loss and cachexia. Burn patients might
have metabolic rates that are higher than normal. Failure to meet these
energy needs results in slowed wound healing
The aim of this study was to assess the effect of nutritional factor on burn
wound healing.
The study included all available adult patients with second degree burn
(superficial and deep), percentage of burn less than 35% burn, within a
period of 6 months, both sexes, and their ages ranged from 18 to 65 years
old, and willing to take part in the research. Patients with inhalation injuries
and associated injuries are excluded from the study. To accomplish this aim;
data were collected from burn Units at Assiut General Hospital & El Eman
General hospital.
The following tools were utilized for data collection:
Tool (1): Patient assessment sheet: This sheet was developed by the
researcher based on literature review to assess patient’s condition. It
consisted of three parts (demographic data, clinical data, and nutritional
assessment)
Tool (II): The Bates-Jensen Wound Assessment Tool (BWAT)
BWAT is a valid and reliable tool developed by Bates-Jensen, (2007) that
is used to assess and monitor healing of all types of wounds.
Summary
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The main findings of the current study:
-The mean age of the studied sample was (36.63±9.015), the highest percentage
of them was married (73.3%), read and write (33.3%), and unemployed (30%).
- The greatest proportion of studied patients had been exposed to dry heat as a
cause of burn (83.3%) and the degree of burn was mixed (76.6%). The mean
percent of burn wound for the studied patient was 24.66±5.40.
-Statistical significant differences were found between different times of
patients’ assessment during hospitalization period (admission, 1st week, 2nd week
and 3rd week) regarding their anthropometric measurements (p<0.01).
- Statistical significant changes in complete blood count (WBC, RBC, HB, and
HCT) (p<0.01) during different times of patient’s assessment (admission, 1st, 2nd,
and 3rd, week).
- Statistical significance differences were found in the dietary management
parameters (fluid, calories and protein) at different times of patients’ assessment
(P<0.01)..