Long-term effects of aromatase inhibitors on body mass index among postmenopausal breast cancer survivors in Africa: observational cohort study

Purpose this study was conducted to assess the impact of AIs on body mass index and high sensitivity as prognostic predictors to be incorporated into point of care technology (POCT) testing in postmenopausal breast cancer women after a 24 month follow up in Africa. An observational cohort study was...

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Veröffentlicht in:BMC research notes Jg. 16; H. 1; S. 37 - 5
Hauptverfasser: Milambo, Jean Paul Muambangu, Nyasulu, Peter S, Akudugu, John M, Ndirangu, James
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London BioMed Central 13.03.2023
BioMed Central Ltd
Springer Nature B.V
BMC
Schlagworte:
And multiple imputations
Aromatase
Aromatase Inhibitors
Biomedical and Life Sciences
Biomedicine
Body fat
Body Mass Index
Breast cancer
Breast Neoplasms - drug therapy
Breast Neoplasms - genetics
C-Reactive Protein
Calcium
Cancer Survivors
Cancer therapies
Care and treatment
Clinical outcomes
Cohort analysis
Cohort Studies
Complications and side effects
Female
Ferritin
Genomics
Health aspects
High sensitivity C-reactive protein
Homocysteine
Humans
Hypertension
Inflammation
Life Sciences
Long-term effects
Medicine/Public Health
Missing data
Obesity
Observational studies
Patient outcomes
Patients
Post-menopause
Postmenopausal breast cancer
Postmenopausal women
Postmenopause
Research Note
Survival
Womens health
Africa
High sensitivity C-reactive protein
Body mass index
And multiple imputations
Postmenopausal breast cancer
Aromatase inhibitors
ISSN:1756-0500, 1756-0500
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Zusammenfassung:Purpose this study was conducted to assess the impact of AIs on body mass index and high sensitivity as prognostic predictors to be incorporated into point of care technology (POCT) testing in postmenopausal breast cancer women after a 24 month follow up in Africa. An observational cohort study was conducted; including 126 female BC patients with stages ranging from 0-III initially subjected to AIs and subsequently followed up for 24 months. Multiple imputation model was conducted to predict missing data. Results Random effects model was used to monitor the changes over the time. The study revealed stronger statistically association between BMI and homocysteine (p = 0.021, 95%CI: 0.0083 to 0.1029). Weight and total body fat were strongly associated after 24 months follow up. Hs-CRP was associated with BMI (p = 0.0001), and hs-CRP was associated with other biomedical markers such as calcium (p = 0.021, 95% CI: 0.01 to 0.10), phosphate (p = 0.039, 95%CI: 0.01 to 0.10), and ferritin (p = 0.002, 95%CI: 0.02 to 0.08) and calcium. The patients subjected to AIs are likely to develop cardiovascular adverse events. POCT of care strategy which include clinical, biomedical and genetic predictor’s measurement is required to improve BC survivorship.
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ISSN:1756-0500
1756-0500
DOI:10.1186/s13104-023-06301-6