Time-to-Disability Determinants Among Leprosy Patients Enrolled for Treatment at ALERT Center, Addis Ababa, Ethiopia: A Survival Analysis

Infect Drug Resist. 2022 May 30:15:2729-2741. doi: 10.2147/IDR.S361799. eCollection 2022.

Abstract

Background: Mycobacterium leprae causes leprosy, which is a long-term or recurrent infection. The causative agent's collusion with Schwann cells results in the irreversible loss of fringe nerve tissue; followed by incapacity, which includes not just actual impotence but also mental incapacity, creates a bad image of the transformed, resulting in segregation and societal humiliation of leprosy patients, as well as their families.

Methods: This study's survival analysis includes a sample of 205 patients who were taking leprosy medication and had all essential data from January 2015 to December 2019 G.C. at the All African TB and Leprosy Rehabilitation and Training Centre. The Cox proportional hazard model was used to figure out what factors influence leprosy patients' survival status during treatment.

Results: Among the 205 leprosy patients, 71 (34.63%) had at least one type of impairment grade during treatment. The Cox proportional model revealed that the most significant variables of impairment among leprosy patients were age, symptom duration, treatment category, living place, and sensory loss.

Conclusion: The study investigated and revealed characteristics associated with the survival status of leprosy patients in ALRT centers using survival analysis. Patients' risk of worsening disability grade increased with age, was greater for patients with a long duration of symptom, was higher for defaulter patients, and was lower for patients who did not lose their sensibility throughout therapy. The existence of a difference in the survival curves between two or more groups of factors for the patient's survival function was also discovered in this inquiry. Female patients, particularly those who were new to the medication, were shown to be more in their survival.

Keywords: Cox proportional model; disability; survival analysis.

Grants and funding

This research received no specific grant from any funding agency in the public commercial, or not for profit sectors.