Browsing by Author "Makhoba, Anthony"
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Item Patient-Reported Outcome Measure of the Quality of Life in Ugandans Living With Autoimmune Rheumatic Diseases(Elsevier, 2021-06) Bongomin, Felix; Sekimpi, Maria; Natukunda, Barbra; Makhoba, Anthony; Kaddumukasa, MarkAim of the work: To assess the patient reported outcome measure (PROM) of the quality of life (QoL) of patients with autoimmune rheumatic diseases (RDs) attending two tertiary care rheumatology clinics in Uganda. Patients and methods: Patients with a confirmed diagnosis of RD and receiving disease modifying anti-rheumatic drugs (DMARDs) were studied. Health index and overall self-rated health status were assessed using the EuroQol 5-dimension (ED-5D-5L) questionnaire tool. Results: 74 patients were studied: 48 (64.9%) had rheumatoid arthritis (RA), 14(18.9%) systemic lupus erythematosus (SLE), and 12(16.2%) had other RDs; spondyloarthritis (n = 5), systemic sclerosis (n = 3), juvenile idiopathic arthritis (n = 2), and idiopathic inflammatory myositis (n = 2). Their mean age was 45 ± 17 years and 69 (93.2%) were female. 14(18.9%) were on concomitant herbal medication and 26 (35.1%) self-reported at least 1 adverse drug reaction. Any level of problem was reported by 54(72.5%) participants for mobility, 47(63.5%) for self-care, 56(75.6%) for usual activity, 66(89.1%) for pain and dis-comfort, and 56(75.6%) for anxiety/depression. The mean health index of the patients was 0.64 ± 0.16 and the overall self-rated health status was 58.1 ± 16.7. Patients with SLE (0.74 ± 0.12) had higher health index compared to those with RA (0.60 ± 0.17) or other RDs (0.70 ± 0.1) (p < 0.007). Overall self-rated health status was comparable across clinical diagnoses (p = 0.23). Both the index and self-reported status were better for patients who received private hospital care compared to public hospital (p < 0.0001 and p = 0.01). Conclusion: There is a substantial negative impact of autoimmune rheumatic diseases on quality of life of patients, especially those receiving care from a public facility in Uganda.Item Predictors of 30-day and 90-day Mortality Among Hemorrhagic and Ischemic Stroke Patients in Urban Uganda: A Prospective Hospital-Based Cohort Study(BioMed Central Ltd, 2020-10-08) Namale, Gertrude; Kamacooko, Onesmus; Makhoba, Anthony; Mugabi, Timothy; Ndagire, Maria; Ssanyu, Proscovia; Ddamulira, M. John Bosco; Yperzeele, Laetitia; Cras, Patrick; Ddumba, Edward; Seeley, Janet; Newton, RobertBackground: We report here on a prospective hospital-based cohort study that investigates predictors of 30-day and 90-day mortality and functional disability among Ugandan stroke patients. Methods: Between December 2016 and March 2019, we enrolled consecutive hemorrhagic stroke and ischemic stroke patients at St Francis Hospital Nsambya, Kampala, Uganda. The primary outcome measure was mortality at 30 and 90 days. The modified Ranking Scale wasused to assess the level of disability and mortality after stroke. Stroke severity at admission was assessed using the National Institute of Health Stroke Scale (NIHSS) and Glasgow Coma Scale (GCS). Examination included clinical neurological evaluation, laboratory tests and brain computed tomography (CT) scan. Kaplan-Meier curves and multivariate Cox proportional hazard model were used for unadjusted and adjusted analysis to predict mortality. Results: We enrolled 141 patients; 48 (34%) were male, mean age was 63.2 (+ 15.4) years old; 90 (64%) had ischemic and 51 (36%) had hemorrhagic stroke; 81 (57%) were elderly (≥ 60 years) patients. Overall mortality was 44 (31%); 31 (23%) patients died within the first 30 days post-stroke and, an additional 13 (14%) died within 90 days post-stroke. Mortality for hemorrhagic stroke was 19 (37.3%) and 25 (27.8%) for ischemic stroke. After adjusting for age and sex, a GCS score below < 9 (adjusted hazard ratio [aHR] =3.49, 95% CI: 1.39–8.75) was a significant predictor of 30-day mortality. GCS score < 9 (aHR =4.34 (95% CI: 1.85–10.2), stroke severity (NIHSS ≥21) (aHR = 2.63, 95% CI: (1.68–10.5) and haemorrhagic stroke type (aHR = 2.30, 95% CI: 1.13–4.66) were significant predictors of 90-day mortality. Shorter hospital stay of 7–13 days (aHR = 0.31, 95% CI: 0.11–0.93) and being married (aHR = 0.22 (95%CI: 0.06–0.84) had protective effects for 30 and 90-day mortality respectively. Conclusion: Mortality is high in the acute and sub-acute phase of stroke. Low levels of consciousness at admission, stroke severity, and hemorrhagic stroke were associated with increased higher mortality in this cohort of Ugandan stroke patients. Being married provided a protective effect for 90-day mortality. Given the high mortality during the acute phase, critically ill stroke patients would benefit from early interventions established as the post-stroke standard of care in the countryItem Predictors of Loss to Follow up Among Patients With Type 2 Diabetes Mellitus Attending a Private Not For Profit Urban Diabetes Clinic in Uganda – A Descriptive Retrospective Study(BMC, 2019-08-23) Tino, Salome; Wekesa, Clara; Kamacooko, Onesmus; Makhoba, Anthony; Mwebaze, Raymond; Bengo, Samuel; Nabwato, Rose; Kigongo, Aisha; Ddumba, Edward; Mayanja, N. Billy; Kaleebu, Pontiano; Newton, Rob; Nyerinda, MoffatBackground: Although the prevalence of type 2 diabetes mellitus is increasing in Uganda, data on loss to follow up (LTFU) of patients in care is scanty. We aimed to estimate proportions of patients LTFU and document associated factors among patients attending a private not for profit urban diabetes clinic in Uganda. Methods: We conducted a descriptive retrospective study between March and May 2017. We reviewed 1818 out-patient medical records of adults diagnosed with type 2 diabetes mellitus registered between July 2003 and September 2016 at St. Francis Hospital - Nsambya Diabetes clinic in Uganda. Data was extracted on: patients’ registration dates, demographics, socioeconomic status, smoking, glycaemic control, type of treatment, diabetes mellitus complications and last follow-up clinic visit. LTFU was defined as missing collecting medication for six months or more from the date of last clinic visit, excluding situations of death or referral to another clinic. We used Kaplan-Meier technique to estimate time to defaulting medical care after initial registration, log-rank test to test the significance of observed differences between groups. Cox proportional hazards regression model was used to determine predictors of patients’ LTFU rates in hazard ratios (HRs). Results: Between July 2003 and September 2016, one thousand eight hundred eighteen patients with type 2 diabetes mellitus were followed for 4847.1 person-years. Majority of patients were female 1066/1818 (59%) and 1317/1818 (72%) had poor glycaemic control. Over the 13 years, 1690/1818 (93%) patients were LTFU, giving a LTFU rate of 34.9 patients per 100 person-years (95%CI: 33.2–36.6). LTFU was significantly higher among males, younger patients (< 45 years), smokers, patients on dual therapy, lower socioeconomic status, and those with diabetes complications like neuropathy and nephropathy. Conclusion: We found high proportions of patients LTFU in this diabetes clinic which warrants intervention studies targeting the identified risk factors and strengthening follow up of patients