Publications by authors named "R Balkissoon"

Background: Racial disparities exist in the utilization of total hip arthroplasties (THAs). The social vulnerability index (SVI), which measures geographic-level disadvantage and includes themes, such as socioeconomic status, minority status, and language, may partially explain disparities in THA use. Our objectives were to determine the association of the composite SVI with THA use for (1) White Medicare beneficiaries, (2) Black Medicare beneficiaries, and (3) the difference in THA use between White and Black beneficiaries.

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Aims: The purpose of this study was to determine the association between prior sleeve gastrectomy in patients undergoing primary total hip and knee arthroplasty, and 90-day complications, incidence of revision arthroplasty, and patient-reported outcome scores at final follow-up.

Methods: This is a retrospective, single-centre analysis. Patients undergoing primary hip or knee arthroplasty with a prior sleeve gastrectomy were eligible for inclusion (n = 80 patients).

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Purpose: Real-world asthma control data among patients initiating fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) are limited. This study assessed rescue medication use and asthma-related exacerbations in patients with asthma before and after initiating single-inhaler FF/UMEC/VI using administrative claims data.

Patients And Methods: This retrospective, pre-post cohort study analyzed data from the IQVIA PharMetrics Plus database (September 18, 2016‒March 31, 2020).

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Background: Obesity is considered a modifiable risk factor prior to total knee arthroplasty (TKA); however, little data support this hypothesis. Our purpose was to evaluate patients who have a body mass index (BMI) >40 presenting for TKA to determine the incidence of: (1) patients who achieved successful weight loss through nutritional modification or bariatric surgery and (2) patients who underwent TKA over the study period without the presence of a formal optimization program.

Methods: This was a retrospective, single-center analysis.

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