| Literature DB >> 29109666 |
Supakrit Auiwattanakul1, Winai Ungpinitpong2, Surakrant Yutthakasemsunt3, Supawan Buranapin4, Kaweesak Chittawatanarat5.
Abstract
INTRODUCTION: The authors aimed to estimate the prevalence of pressure ulcers and to explore the nutritional effects of the prognostic factors on successful pressure ulcer closure in a public tertiary care hospital in Thailand. PATIENTS AND METHODS: The study was a retrospective cohort analysis of seven-year census (2008 - 2014) at Surin hospital in Thailand. There were 424 of total 240,826 patients aged over than 15 years admitted to surgery, orthopedics and medicine wards during the study period with documented pressure ulcers (ICD 10TM). We analyzed four hundred and ten patients after excluding 14 patients with non-pressure ulcers (due to burning/ diabetic/ ischemic neuropathic ulcers, and less than 24 hours of admission) and loss medical record. We selected independent factors from demographic data, nutritional factors, pressure ulcer characteristics, and management data. The outcome of interest was successful pressure ulcer closure. The analysis method was the semi-parametric Cox regression model and reported as Hazard Ratios (HR) with 95% confidence interval (95% CI).Entities:
Keywords: Nottingham Hospital Screening Tool (NS); nutritional factors; pressure ulcer closure; pressure ulcers prevalence
Year: 2017 PMID: 29109666 PMCID: PMC5644201 DOI: 10.5455/msm.2017.29.196-200
Source DB: PubMed Journal: Mater Sociomed ISSN: 1512-7680
Figure 1Data extraction (2008-2014)
Items of Nottingham Hospital Screening Tool (NS)
Baseline characteristics and univariable analysis between successful and non-successful pressure ulcer closures
Nutritional factors and univariable analysis between successful and non-successful pressure ulcer closure P value estimated by Fisher’s exact probability test
Multi-variable analysisa for nutrition variables on pressure ulcer closure with subgroup analysis. a=Cox’s regression; b = Adjusted by age, gender, Braden score and Charlson Age-Comorbidity Index (CACI)
Prevalence of pressure ulcers by years. a = The department of Surgery, Orthopedics, and Medicine.
Figure 2Kaplan-Meier failure curves for ulcer-closure success according to Nottingham Hospital Screening Tool (NS) risks; HR=Hazard Ratio