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Predictors of Post-operative Mycetoma Recurrence Using Machine-Learning Algorithms: The Mycetoma Research Center Experience

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  • Ali Wadal
  • Tusneem Ahmed Elhassan
  • Hajer Ahmed Zein
  • Manar Elsheikh Abdel-Rahman
  • Ahmed Hassan Fahal

Abstract

Post-operative recurrence in mycetoma after adequate medical and surgical treatment is common and a serious problem. It has health, socio-economic and psychological detrimental effects on patients and families. It is with this in mind, we set out to determine the predictors of post-operative recurrence in mycetoma. The study included 1013 patients with Madurella mycetomatis causing eumycetoma who underwent surgical excision at the Mycetoma Research Centre, Khartoum, Sudan in the period 1991–2015. The clinical records of these patients were reviewed and relevant information was collected using a pre-designed data collection sheet. The study showed, 276 patients (27.2%) of the studied population developed post-operative recurrence, 217 were males (78.6%) and 59 were females (21.4%). Their age ranged between 5 to 70 years with a mean of 32 years. The disease duration at presentation ranged between 2 months and 17 years. The majority of the patients 118 (42.8%) had mycetoma of 1 year duration. In this study, students were the most affected; 105 (38%) followed by workers 70 (25.4%), then farmers 48(17.3%). The majority of the patients were from the Central Sudan 207 (75%), Western Sudan 53 (19.2%) while 11 patients (4%) were from the Northern part. Past history of surgical intervention performed elsewhere was reported in 196 patients (71.1%). Family history of mycetoma was reported in 50 patients (18.1%). The foot was the most affected site, 245 (88.7%), followed by the hand seen in 19 (6.8%) patients and 44 (4.5%) had different sites involvement. Most of the patients 258 (93.5%) had wide local surgical excisions while 18 had major amputation. The model predicted that the certain groups have a high risk of recurrence, and these include patients with disease duration greater than 10 years and extra-pedal mycetoma. Patients with disease duration between [5–10] years, with pedal mycetoma, who had previous surgery, with positive family history and underwent wide local surgical excision. Patients with disease duration [5–10] years, with pedal mycetoma, had previous surgery, with no family history but presented with a disease size (> 10 cm), were non- farmers and underwent wide local surgical excision. Other groups are patients with disease duration (≤5 years), with pedal mycetoma, age 10 cm, working as farmers or students and underwent wide local surgical excision. In conclusion, these groups of patients need special care to reduce the incidence of post-operative recurrence with its morbidity and detrimental consequences. In depth studies for the other predisposing factors for post-operative recurrence such as genetic, immunological and environmental factors are needed.Author Summary: Post-operative recurrence in mycetoma is a thoughtful problem. It has numerous undesirable medical, health, socio-economic and psychological impacts on the affected patients and their families, communities and health authorities in endemic regions. It is an important motive for patients to drop out follow up and treatment incompliance and hence the inclination of patients for traditional medical treatment. The factors predicating this phenomenon were not studied previously. However, patients’ characteristics and clinical presentation can partially offer an explanation. Thus the present study was set out to understand the predictive ability of some clinical factors on predicting the post-operative recurrence of eumycetoma. The present study had showed young farmers with small sized pedal mycetoma, with short disease duration, who are residing in endemic areas, with no family history and who underwent wide local excision are most likely to remain disease free. We can also concluded that, adequate surgical treatment conditions are obligatory to achieve good outcome and to reduce recurrence. Appropriate health education programmes to encourage early presentation to medical care are essential to reduce the postoperative recurrence rate with its detrimental impacts.

Suggested Citation

  • Ali Wadal & Tusneem Ahmed Elhassan & Hajer Ahmed Zein & Manar Elsheikh Abdel-Rahman & Ahmed Hassan Fahal, 2016. "Predictors of Post-operative Mycetoma Recurrence Using Machine-Learning Algorithms: The Mycetoma Research Center Experience," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 10(10), pages 1-11, October.
  • Handle: RePEc:plo:pntd00:0005007
    DOI: 10.1371/journal.pntd.0005007
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    Cited by:

    1. Mehdi Bamorovat & Iraj Sharifi & Esmat Rashedi & Alireza Shafiian & Fatemeh Sharifi & Ahmad Khosravi & Amirhossein Tahmouresi, 2021. "A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-17, May.
    2. Latifa A AlKaabi & Lina S Ahmed & Maryam F Al Attiyah & Manar E Abdel-Rahman, 2020. "Predicting hypertension using machine learning: Findings from Qatar Biobank Study," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.

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