Doctoral Degrees (Epidemiology and Biostatistics)

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Browsing Doctoral Degrees (Epidemiology and Biostatistics) by browse.metadata.advisor "Nyasulu, Peter S."

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    Assessment of point-of-care testing for prediction of aromatase inhibitor-associated side effects in obese postmenopausal breast cancer patients screened for cardiovascular risk factors
    (Stellenbosch : Stellenbosch University, 2021-12) Milambo, Jean Paul Muambangu; Akudugu, John M.; Nyasulu, Peter S.; Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Global Health. Epidemiology and Biostatistics.
    ENGLISH SUMMARY : Background: Aromatase inhibitors (AIs) constitute a standard of care for post- and premenopausal patients with estrogen receptor-positive breast cancer (BC). Obesity and mediators of inflammation have been identified as the most important risk and predictive factors in postmenopausal breast cancer survivors (BCS) using AIs. However, data on the feasibility of point-of-care (POC) genotyping using high sensitivity C-reactive protein (hs-CRP) and body mass index (BMI) as predictors of drug toxicity among postmenopausal BCS in African clinical settings are lacking. Aim: The study was conducted to assess the impact of AIs on hs-CRP and BMI, which are used at POC for prediction of therapy-associated side effects among obese postmenopausal breast cancer patients in Africa. Methods: One hundred and twenty-six female BC patients with cancer stages ranging from 0-III were recruited at Tygerberg Hospital (TBH) in the Western Cape Province of South Africa, between August 2014 and February 2017, for the study. A Quasi-experimental study was conducted. Patients were initially subjected to AIs and subsequently followed up at months 4, 12, and 24. Baseline clinical and biomedical assessments were conducted at commencement of study to predict hs-CRP and BMI at months 12 and 24, using a multiple imputation model. A random effects model was used to monitor the changes over the time. Statistical analyses were performed using SPSS 18.0 software (SPSS Inc., Chicago, IL, USA) and STATA version 16. Analyses were two-tailed and a p-value < 0.05 was considered statistically significant. Results: The mean age of the participants was 61 years (SD = 7.11 years; 95% CI: 60-62 years). Linear regression revealed that hs-CRP was associated with waist circumference (OR: 7.5; p= 0. 0116; 95%CI: 1.45 to 39.61) and BMI (OR: 2.15; p=0.034, 95%CI: 1.02 to 4.56). Waist circumference was associated with hypertension (OR: 3, 83; p= 0.003, 95%CI: 1.56 to 9.39), and chemotherapy was associated with waist circumference by (p= 0. 016; 95%CI: 0.11 to 0. 79). hs-CRP levels were significantly correlated with BMI and total body fat (TBF) among postmenopausal using aromatase inhibitors. Random linear effects modelling revealed stronger statistical association between BMI and homocysteine (p=0.021, 95%CI: 0.0083 to 0.1029). Weight and TBF were strongly associated after 24 months of follow-up. In addition, hs-CRP was associated with BMI (p=0.0001) and other inflammatory markers such as calcium (p=0.021, 95%CI: 0.0083 to 0.1029), phosphate (p=0.039, 95%CI: 0.0083 to 0.1029), and ferritin (p=0.002, 95%CI: 0.0199 to 0.084). Multiple imputation modelling indicated that there were statistically significant variations in TBF, weight, homocysteine, ferritin, and calcium between baseline and after 24 months of follow-up. Mathematical modeling Comparison of genotyping from HyBeacon® probe technology to Sanger sequencing showed that yielded sensitivity of 99% (95% CI: 94.55 to 99.97%), specificity of 89.44% (95% CI: 87.25 to 91.38%), PPV of 51% (95%: 43.77 to 58.26%), and NPV of 99.88% (95% CI: 99.31 to 100.00%). Based on the mathematical model, the assumptions revealed that incremental cost-effective ratio (ICER) was R7 044.55. Conclusion: This study revealed that hs-CRP and BMI are predictors of CVD-related adverse events in obese postmenopausal patients. Calcium, phosphate, homocysteine, and ferritin should also be incorporated in POCT. There were statistically significant variations in TBF, weight, hs-CRP, BMI, homocysteine, ferritin, and calcium between baseline and after 24 months of follow-up. HyBeacon® probe technology at POC for AI-associated adverse events maybe cost-effective in Africa while adjunct to standard practice. The appropriate pathways for implementation of POC testing in postmenopausal breast cancer survivors need further investigation in different clinical settings with real data for external validation.