Correlation Between Bacteria Count Using a Rapid Bacterium Counting System and Changes in Wound Area on Diabetic Foot Ulcers in Indonesia: A Prospective Study.

bacterial count biofilm correlation diabetic foot wound healing

Journal

The international journal of lower extremity wounds
ISSN: 1552-6941
Titre abrégé: Int J Low Extrem Wounds
Pays: United States
ID NLM: 101128359

Informations de publication

Date de publication:
06 May 2022
Historique:
pubmed: 7 5 2022
medline: 7 5 2022
entrez: 6 5 2022
Statut: aheadofprint

Résumé

This study aimed to clarify the correlation between changes in bacterial number and wound area in diabetic foot ulcers (DFUs). This study used a prospective longitudinal cohort design. A total of 30 participants met the inclusion criteria. Changes in bacterial number and wound area were evaluated weekly until week 4. The chi-square test indicated no significant correlation between biofilm formation and wound area (p = 0.32) but a significant correlation between bacterial count and wound area (p = 0.05). Logistic regression analysis showed a significant correlation between bacterial count and changes in wound area (odds ratio, 0.60; 95% confidence interval [CI], 0.372-0.997; p = 0.04). The receiver operating characteristic analysis showed an area under the curve of 0.660 (95% CI, 0.52-0.79; p = 0.03) with a sensitivity of 97% and specificity of 88%. The present prospective longitudinal cohort study demonstrated the correlation between bacterial count changes and wound area in DFUs. Our results suggest that changes in bacterial count could help wound healing evaluations.

Identifiants

pubmed: 35521915
doi: 10.1177/15347346221098515
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15347346221098515

Auteurs

Haryanto Haryanto (H)

184383The Institute of Nursing Muhammadiyah/STIK Muhammadiyah, Pontianak, Indonesia.

Suriadi Jais (S)

184383The Institute of Nursing Muhammadiyah/STIK Muhammadiyah, Pontianak, Indonesia.

Supriadi Supriadi (S)

Graduate Course of Nursing Sciences, Division of Health Sciences, 12858Kanazawa University, Japan.

Imran Imran (I)

Graduate Course of Nursing Sciences, Division of Health Sciences, 12858Kanazawa University, Japan.

Kazuhiro Ogai (K)

Department of Clinical Nursing, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Japan.

Makoto Oe (M)

Department of Clinical Nursing, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Japan.

Mayumi Okuwa (M)

Department of Clinical Nursing, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Japan.

Junko Sugama (J)

Advanced Health Care Science Research Unit, Innovative Integrated Bio-Research Core, Institute for Frontier Science Initiative, Kanazawa University, Japan.

Classifications MeSH