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Medication use and multiple myeloma risk in Los Angeles County.

ABSTRACT: The role of medication use in multiple myeloma (MM) risk remains unclear.The Los Angeles County Multiple Myeloma Case-Control Study, comprising 278 MM cases and individually matched neighborhood controls, provided data to assess associations between medication use and MM risk. Odds ratios (OR) and 95 % confidence intervals (CI) were estimated using conditional logistic regression.Erythromycin (ever) use was associated with increased MM risk (OR 1.85, 95 % CI 1.13-3.03). This association was restricted to men (OR 3.77, 95 % CI 1.72-8.29) and was especially apparent among men who took two or more courses of erythromycin (OR 4.68, 95 % CI 1.70-12.87).Compared to females, males have lower levels of cytochrome P450 3A4 (CYP3A4), for which erythromycin is both a substrate and inhibitor. Use of CYP3A4-inhibiting drugs such as erythromycin in men may thus result in even lower levels of CYP3A4 and, consequently, higher levels of CYP3A4-metabolized substances. These results could potentially provide clues to explain discrepancies in MM incidence by sex. Consortial efforts to confirm these associations are warranted.

SUBMITTER: Nuyujukian DS

PROVIDER: S-EPMC4156901 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Medication use and multiple myeloma risk in Los Angeles County.

Nuyujukian Daniel S DS Voutsinas Jenna J Bernstein Leslie L Wang Sophia S SS

Cancer causes & control : CCC 20140701 9

<h4>Background</h4>The role of medication use in multiple myeloma (MM) risk remains unclear.<h4>Methods</h4>The Los Angeles County Multiple Myeloma Case-Control Study, comprising 278 MM cases and individually matched neighborhood controls, provided data to assess associations between medication use and MM risk. Odds ratios (OR) and 95 % confidence intervals (CI) were estimated using conditional logistic regression.<h4>Results</h4>Erythromycin (ever) use was associated with increased MM risk (OR ...[more]

PMID: 24981100

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Project description:BackgroundPre-exposure prophylaxis (PrEP) is essential to ending HIV. Yet, uptake remains uneven across racial and ethnic groups. We aimed to estimate the impacts of alternative PrEP implementation strategies in Los Angeles County.SettingMen who have sex with men, residing in Los Angeles County.MethodsWe developed a microsimulation model of HIV transmission, with inputs from key local stakeholders. With this model, we estimated the 15-year (2021-2035) health and racial and ethnic equity impacts of 3 PrEP implementation strategies involving coverage with 9000 additional PrEP units annually, above the Status-quo coverage level. Strategies included PrEP allocation equally (strategy 1), proportionally to HIV prevalence (strategy 2), and proportionally to HIV diagnosis rates (strategy 3), across racial and ethnic groups. We measured the degree of relative equalities in the distribution of the health impacts using the Gini index (G) which ranges from 0 (perfect equality, with all individuals across all groups receiving equal health benefits) to 1 (total inequality).ResultsHIV prevalence was 21.3% in 2021 [Black (BMSM), 31.1%; Latino (LMSM), 18.3%, and White (WMSM), 20.7%] with relatively equal to reasonable distribution across groups (G, 0.28; 95% confidence interval [CI], 0.26 to 0.34). During 2021-2035, cumulative incident infections were highest under Status-quo (n = 24,584) and lowest under strategy 3 (n = 22,080). Status-quo infection risk declined over time among all groups but remained higher in 2035 for BMSM (incidence rate ratio, 4.76; 95% CI: 4.58 to 4.95), and LMSM (incidence rate ratio, 1.74; 95% CI: 1.69 to 1.80), with the health benefits equally to reasonably distributed across groups (G, 0.32; 95% CI: 0.28 to 0.35). Relative to Status-quo, all other strategies reduced BMSM-WMSM and BMSM-LMSM disparities, but none reduced LMSM-WMSM disparities by 2035. Compared to Status-quo, strategy 3 reduced the most both incident infections (% infections averted: overall, 10.2%; BMSM, 32.4%; LMSM, 3.8%; WMSM, 3.5%) and HIV racial inequalities (G reduction, 0.08; 95% CI: 0.02 to 0.14).ConclusionsMicrosimulation models developed with early, continuous stakeholder engagement and inputs yield powerful tools to guide policy implementation.

Dataset Information

Medication use and multiple myeloma risk in Los Angeles County.

Publications

Medication use and multiple myeloma risk in Los Angeles County.

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