SARS-CoV-2, which causes COVID-19, poses considerable morbidity and mortality risks. Studies using data collected during routine clinical practice can supplement randomized clinical trials to provide needed evidence, especially during a global pandemic, and can yield markedly larger sample sizes to assess outcomes for important patient subgroups.
TransCelerate BioPharma surveyed its member biopharmaceutical companies to understand current practices and identify opportunities to complement safety signal assessment with rapid real-world data (RWD) analysis.
e19061 Background: Non-Hodgkin’s lymphoma is a heterogeneous group of conditions, including the indolent subtype follicular lymphoma (FL) and the aggressive subtype diffuse large B-cell lymphoma (DLBCL). Infections associated with NHL are a major concern due to effects of the underlying disease and its treatment and have been reported to increase with increasing lines of therapy (LoT). However, the risk of infections overall and SARS-COV-2 infections specifically is not well characterized in patients who have received multiple LoTs. The goal of the study was to estimate the exposure-adjusted incidence rates (EAIR) of infections during the COVID-19 pandemic by type, severity and LoT received in patients treated for FL or DLBCL in the real-world setting. Methods: We identified patients in the Optum Clinformatics claims data from October 1, 2015, to June 30, 2023. Patients were aged ≥18 years, enrolled continuously for 365 days before index (start of LoT), and had ≥2 ICD-10 diagnosis codes for FL or DLBCL in the 365 days before index. The EAIR (per 100 person-years, PY) was estimated for infections by type (any infections and SARS-COV-2 [after 1/1/2020]), severity (hospitalized or fatal hospitalizations), and number of LoTs received. Results: A total of 4,799, 1,025 and 510 FL patients were included in the 1L (1 LoT), 2L, and 3L+ cohorts, respectively. The EAIR of infections resulting in hospitalization in 1L, 2L, and 3L+ cohorts were 20.6 (95% confidence interval (CI): 19.0-22.3), 30.2 (25.5-35.9), and 44.2 (35.4-55.3) per 100-PY for any infection; and 4.6 (4.0-5.4), 4.4 (3.0-6.5) and 8.3 (5.3-13.2) per 100-PY for SARS-COV-2 infections, respectively. The EAIR of fatal hospitalizations were 4.0 (3.4-4.8), 8.6 (6.4-11.5), and 13.9 (9.7-20.0) per 100-PY for any infection; and 1.3 (1.0-1.7), 1.6 (0.8-3.0), and 4.1 (2.2-7.9) per 100-PY for SARS-COV-2 infections. A total of 8,058, 2,114 and 977 DLBCL patients were included in 1L, 2L, and 3L+ cohorts, respectively. The EAIR of infections resulting in hospitalization in 1L, 2L, and 3L+ cohorts were 64.2 (60.7-67.8), 85.2 (76.9-94.3), and 113.4 (98.4-130.7) per 100-PY for any infection; and 6.3 (5.5-7.2), 7.3 (5.6-9.6), and 15.1 (11.3-20.2) per 100-PY for SARS-COV-2 infections respectively. The EAIR of fatal hospitalizations were 12.0 (10.8-13.3), 23.0 (19.5-27.1), and 27.8 (22.1-34.9) per 100-PY for any infection; and 1.6 (1.2-2.1), 2.7 (1.7-4.2), and 4.8 (2.9-8.0) per 100-PY for SARS-COV-2 infections in 1L, 2L and 3L+ cohorts, respectively. Conclusions: This real-world analysis demonstrated substantial morbidity and mortality associated with overall and SARS-COV-2 infections among NHL patients, with a higher incidence in DLBCL compared to FL, and with increasing LoTs.
Background The COVID-19 pandemic remains a significant global threat. However, despite urgent need, there remains uncertainty surrounding best practices for pharmaceutical interventions to treat COVID-19. In particular, conflicting evidence has emerged surrounding the use of hydroxychloroquine and azithromycin, alone or in combination, for COVID-19. The COVID-19 Evidence Accelerator convened by the Reagan-Udall Foundation for the FDA, in collaboration with Friends of Cancer Research, assembled experts from the health systems research, regulatory science, data science, and epidemiology to participate in a large parallel analysis of different data sets to further explore the effectiveness of these treatments. Methods Electronic health record (EHR) and claims data were extracted from seven separate databases. Parallel analyses were undertaken on data extracted from each source. Each analysis examined time to mortality in hospitalized patients treated with hydroxychloroquine, azithromycin, and the two in combination as compared to patients not treated with either drug. Cox proportional hazards models were used, and propensity score methods were undertaken to adjust for confounding. Frequencies of adverse events in each treatment group were also examined. Results Neither hydroxychloroquine nor azithromycin, alone or in combination, were significantly associated with time to mortality among hospitalized COVID-19 patients. No treatment groups appeared to have an elevated risk of adverse events. Conclusion Administration of hydroxychloroquine, azithromycin, and their combination appeared to have no effect on time to mortality in hospitalized COVID-19 patients. Continued research is needed to clarify best practices surrounding treatment of COVID-19.
Abstract Background Carpal tunnel syndrome (CTS), an entrapment neuropathy caused by pressure of the median nerve, is a progressive condition that can lead to a decreased quality of life. Studies suggest an association between CTS and arthritis; however, previous studies examining osteoarthritis (OA) and CTS are limited in number, scope and study design. This study estimated the incidence and risk of CTS among patients with OA, both overall and by specific joints, in a large population-based cohort in the United States. Methods Patients from the Optum claims database aged ≥ 45 years and diagnosed with OA between January 1, 2018, and December 31, 2022, were eligible for the OA cohort. The non-OA cohort included those without a diagnosis of OA at the index date and no history of OA for 12 months pre-index. Baseline characteristics were balanced using propensity score matching. The risk of CTS in the OA and non-OA cohort were evaluated using incidence rates and adjusted hazard ratios that were estimated using Cox regression. Results After applying the inclusion/exclusion criteria, 3,610,240 of the 6,023,384 adults with a diagnosis of OA remained in the OA cohort. After propensity-score matching, each cohort included 1,033,439 individuals. The incidence rates for CTS per 1000 person-years were 7.35 (95% confidence interval [CI] 7.21–7.49) in the OA cohort and 1.44 (95% CI 1.38–1.50) in the non-OA cohort. The risk of developing CTS in patients with OA was ~ 4 times that of patients without (hazard ratio = 3.80; 95% CI 3.54–4.07). This increased risk was found across all OA joint types, with OA of the hand/wrist having the highest risk for CTS. Additionally, multiple OA joints presented a higher risk compared with a single affected joint. Conclusions OA increases the risk of CTS, but this is not limited to patients with hand/wrist OA, suggesting a systemic impact of OA on CTS. While the risk appears highest for patients with hand/wrist OA, patients with more distant affected joints like knee or hip also have an increased risk of CTS.
Abstract Background Tenofovir/Emtricitabine (TVD) was approved for a Pre-exposure Prophylaxis (PrEP) indication in the United States in July 2012. Biomedical HIV prevention tools can impact the rate of new HIV diagnoses but their relative contributions have not been described. Methods The analysis utilized CDC published data on HIV diagnoses in 105 US metropolitan statistical areas (MSAs), a Treatment as Prevention (TasP) proxy of HIV suppressed individuals from 38 US states and DC, and a national pharmacy and medical claims databases to track TVD PrEP use from 2012 to 2017. The calculation of person time at risk excluded time of those taking PrEP as well as those who became HIV positive. TVD PrEP use was categorized in quintiles. A multilevel Poisson regression model which considers changes over time of each MSA was utilized. Rates and rate ratios plus corresponding 95% confidence intervals were obtained for quintiles of PrEP utilization after adjusting for the effect of treatment as prevention and calendar time. Results The US MSA rate of HIV diagnoses decreased significantly at a rate of 5.1% (95% CI −4.8 to −5.3%) per year in the period 2012–2017. PrEP use increased from an average of 1.64+1.3 per 100 subjects with a PrEP indication in 2012 to 15.4 + 3.2 in 2017. HIV viral suppression also increased by 1.3% per year (95% CI 1.1 to 1.6%) during the same period among HIV treated subjects. A multivariate model showed that PrEP use was significantly associated with the decline in the rate of new HIV cases, independent of a significant TasP effect. During the period of observation, the lowest quintile of PrEP utilization saw a decline of −0.23% (95% CI −0.2 to −0.43%), while the highest quintile of PrEP utilization showed a statistically significant decline of −4.24% (95% CI −0.39 to −8.01%) per year. Treatment as prevention had a significant and independent effect of- 1.56% (−1.1 to −2.1%) per each percent increase of the proportion of HIV subjects with suppression. Conclusion From 2012 to 2017, HIV diagnoses declined most steeply in MSAs where PrEP use was the highest. The effect of PrEP use was significantly associated with this decline and was independent of treatment as prevention. Disclosures All Authors: No reported Disclosures.
