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1.
Clin Ophthalmol ; 17: 849-860, 2023.
Article in English | MEDLINE | ID: mdl-36968284

ABSTRACT

Purpose: To investigate the association between early lifetime substance use on the development of severe visual acuity impairment or blindness on a national level. Methods: National Survey of Drug Use and Health data was used to identify cases of substance use before 21* years of age, within the past year, and cases of self-reported blindness or visual impairment. Univariable and multivariable binary logistic regression with time-dependency was performed to evaluate odds of visual impairment influenced by 16 substances separated into three classes: prescription, non-prescription, and illicit drugs. Adjusted variables of interest included gender, marital status, race, level of education, total family income, poverty level, population density, and history of chronic disease. Results: 55,824 total responses were analyzed with 2577 (4.6%) cases of self-reported blindness or significant visual impairment. All early-use substance categories, including prescription, non-prescription, and illegal substances, were significantly associated with self-reported VI (OR 2.068, CI 1.451-2.949, p<0.001; OR 1.352, CI 1.227-1.489, p<0.001); OR 1.211, CI 1.086-1.352, p<0.001), respectively). Non-prescription substances displayed parallel significances amongst all constituents (alcohol, cigarettes, inhalants, and marijuana) (OR=1.227, CI 1.12-1.344, p<0.001; OR 1.363, CI 1.243-1.495, p<0.001; OR 1.418, CI 1.134-1.774; OR 1.388, CI 1.27-1.518, p<0.001, respectively). Univariable and multivariable analysis revealed several significant demographical and clinical adjustors. Conclusion: Early lifetime use of all three classes of substances is associated with enhanced odds of subsequent visual impairment or blindness. Several readily available and commonly used substances have a greater risk. These findings may help clinicians and public health agencies in mitigation ventures including education, prevention, and rehabilitation efforts.

2.
Ann Hematol ; 100(3): 735-741, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33438047

ABSTRACT

Plasma cell disorders including plasmacytomas and multiple myeloma (MM) are exquisitely radiosensitive, and thus, radiation therapy (XRT) is used effectively in their management. The role of XRT in the setting of novel MM therapeutics has not been explored. The 2016 National Cancer Database (NCDB) for MM with patients diagnosed between 2004 and 2013 was studied. Association between utilization of XRT as part of initial therapy and patient, disease, or treating facility characteristics was studied. A total of 111,281 cases with 91.6% MM, 7% osseous plasmacytoma (PLA-O), and 1.4% extramedullary plasmacytoma (PLA-E) were identified. XRT was utilized as part of initial therapy in 25.4% cases, including 69.3% of PLA-O, 60% of PLA-E, and 21.5% of MM patients. Patients with PLA-E and MM were significantly less likely to receive XRT as compared to PLA-O (p < 0.001). A significantly decreased use of XRT was noted over time (p < 0.001), and for advancing patient age (p < 0.001), women (p < 0.001), and blacks (p < 0.001), and with increasing income (p = 0.015). Patients with Medicare were less likely to receive XRT (OR 0.86, 95% CI 0.78, 0.94) as compared to uninsured as were those with initial treatment at academic or high-volume facilities and facilities performing stem cell transplant. There was overall decreased utilization of XRT in recent years, possibly due to advent of efficacious systemic agents for MM therapy, with a higher XRT utilization for plasmacytomas. Patterns of XRT use need to be explored prospectively, so that uniform standards of healthcare delivery can be maintained and treatment heterogeneity can be minimized.


Subject(s)
Medical Oncology/trends , Multiple Myeloma/radiotherapy , Practice Patterns, Physicians'/trends , Adult , Aged , Aged, 80 and over , Cohort Studies , Databases, Factual , Female , Humans , Male , Medical Oncology/statistics & numerical data , Middle Aged , Multiple Myeloma/epidemiology , Practice Patterns, Physicians'/statistics & numerical data , Puerto Rico/epidemiology , Socioeconomic Factors , United States/epidemiology
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