Clinical and microbiological predictors of healing in Buruli ulcer disease

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dc.contributor.authorAgbavor, Bernadette
dc.contributor.authorAgbanyo, Abigail
dc.contributor.authorLaglo, Aloysius Dzigbordi
dc.contributor.authorAntwi, Philemon Bosiako
dc.contributor.authorAckam, Nancy
dc.contributor.authorAdjei, Jonathan
dc.contributor.authorFrimpong, Venus
dc.contributor.authorBoampong, Kwadwo
dc.contributor.authorFrimpong, Michael
dc.contributor.authorAddo, Matthew Glover
dc.contributor.authorWansbrough-Jones, Mark
dc.contributor.authorAmoako, Yaw Ampem
dc.contributor.authorPhillips, Richard Odame
dc.contributor.orcid0000-0001-5014-6153
dc.date.accessioned2024-07-16T08:50:18Z
dc.date.available2024-07-16T08:50:18Z
dc.date.issued2024-02
dc.descriptionThis is an article published in Journal of Clinical Tuberculosis and Other Mycobacterial Diseases Volume 34 , February 2024, 100415; https://doi.org/10.1016/j.jctube.2024.100415
dc.description.abstractIntroduction: Wound measurements are relevant in monitoring the rate of healing (RoH) and may predict time to healing. Predicting the time to healing can help improve the management of Buruli ulcer. We examine three methods for the determination of RoH and their use as predictors of time to healing. Methods: Lesion measurements of Buruli ulcer patients treated from 2007 to 2022 were obtained with acetate sheet tracings (2D) or Aranz software (3D) fortnightly. RoH was determined using the absolute area, percentage area reduction and linear methods at 4 weeks post onset of antibiotic treatment. Predicted time to healing was compared to the actual healing time. Baseline characteristics were assessed for associations with healing. Results: All three methods for calculating the RoH significantly distinguished between fast and slow healers (p <0.0001). The predicted healing time using the linear method was comparable to the actual healing time for fast healers (p = 0.34). The RoH was influenced by the form of lesion, with plaques [OR 2.19 5 %CI (1.2–3.6), p =0.009], and oedemas [OR 8.5; 95 %CI (1.9––36.9), p = 0.004] being associated with delayed healing. The proportion of patients with paradoxical reactions 16 % vs 3 %, p < 0.0001), higher baseline bacterial load (75/104;72 % vs 21/47;45 %, p = 0.001) and delayed clearance of viable organisms (71/104;68 % vs 9/47;19 %, p <0.0001) was higher in the slow healers than the fast healers. Conclusion: Predicted healing rates were comparatively lower for slow healers than fast healers. Baseline characteristics associated with healing can be explored for an improved disease management plan to reduce patient and caregiver anxiety.
dc.description.sponsorshipKNUST
dc.identifier.citationJournal of Clinical Tuberculosis and Other Mycobacterial Diseases Volume 34 , February 2024, 100415; https://doi.org/10.1016/j.jctube.2024.100415
dc.identifier.urihttps://doi.org/10.1016/j.jctube.2024.100415
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/15835
dc.language.isoen
dc.publisherJournal of Clinical Tuberculosis and Other Mycobacterial Diseases
dc.titleClinical and microbiological predictors of healing in Buruli ulcer disease
dc.typeArticle
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