Literature DB >> 9238941

Using cluster analysis to develop a healing typology in vascular ulcers.

M Johnson1.   

Abstract

A clinically meaningful typology of healing was developed to assist nurses in assessing patients' healing potential. A descriptive correlational design was used to determine similarities in healing characteristics of older people with venous, venous-arterial, and arterial leg ulcers (n = 156). Hierarchical clustering techniques dendrogram using Ward's method suggested that three clusters existed based on the ankle/brachial pressure index, liposclerosis (hardening and induration of the skin of the lower limb), edema and wound characteristics: thus a healing typology was potentially formed. Nonhierarchical techniques such as analysis of variance examined cluster differences for the initial ulcer area (p < 0.013) and suggested that these groupings were reflective of differing ulcer areas. However, significant differences in the rate of healing (difference between ulcer surface area in week 4 and week 1) (measured by topographic mapping) group comparisons were not significant at the 0.05 level. Clinical differences in the healing rate were apparent, and three individual profiles of leg ulcer sufferers based on the three differing clusters of factors were outlined: rapid healers, slow healers, and nonhealers. Further research into the clustering of these factors and their application to longer healing times or time to complete healing may be significant and support the utility of this typology.

Entities:  

Mesh:

Year:  1997        PMID: 9238941     DOI: 10.1016/s1062-0303(97)90000-5

Source DB:  PubMed          Journal:  J Vasc Nurs        ISSN: 1062-0303


  5 in total

1.  Prognostic factors in the prediction of chronic wound healing by electrical stimulation.

Authors:  D Cukjati; M Robnik-Sikonja; S Rebersek; I Kononenko; D Miklavcic
Journal:  Med Biol Eng Comput       Date:  2001-09       Impact factor: 2.602

2.  Exposures to Volatile Organic Compounds among Healthcare Workers: Modeling the Effects of Cleaning Tasks and Product Use.

Authors:  Feng-Chiao Su; Melissa C Friesen; Aleksandr B Stefaniak; Paul K Henneberger; Ryan F LeBouf; Marcia L Stanton; Xiaoming Liang; Michael Humann; M Abbas Virji
Journal:  Ann Work Expo Health       Date:  2018-08-13       Impact factor: 2.179

3.  Cluster Analysis in Nursing Research: An Introduction, Historical Perspective, and Future Directions.

Authors:  Heather Dunn; Laurie Quinn; Susan J Corbridge; Kamal Eldeirawi; Mary Kapella; Eileen G Collins
Journal:  West J Nurs Res       Date:  2017-05-16       Impact factor: 1.967

4.  A reliable method of determining wound healing rate.

Authors:  D Cukjati; S Rebersek; D Miklavcic
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

5.  Modelling of chronic wound healing dynamics.

Authors:  D Cukjati; S Rebersek; R Karba; D Miklavcic
Journal:  Med Biol Eng Comput       Date:  2000-05       Impact factor: 3.079

  5 in total

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