- Front Matter
- 10.1016/j.patter.2024.101152
How we measure our impact
- Jan 01, 2025
- Patterns
- Andrew L Hufton
Publications from 2021 to 2026
Showing 10 of 19 papers
How we measure our impact
1397. COVID-19 Hospitalizations in North Texas: Impact of Insurance Status
Abstract Background Texas has one of the highest rates of uninsured populations in the US (Fig1). We hypothesized that those without insurance were more likely to be hospitalized for COVID-19 but were at higher risk for severe disease and mortality due to uncontrolled medical illness prior to hospitalization. Methods We conducted a retrospective analysis of patients hospitalized in 81 hospitals in Dallas- Ft. Worth (DFW) area. All inpatients and outpatients with COVID-19 from 3/1/2020 to 4/1/2021 were included to examine risk for hospitalization. Subset analysis included those hospitalized with COVID-19. Data presented is comparison between Medicaid and uninsured population as they were similar in age distribution (Fig 2). Results 198, 174 COVID-19 unique individuals were identified; 7.5% had Medicaid and 25.1% were uninsured. Among Medicaid, 29.6% were hospitalized vs. 25.8% of Medicaid vs. uninsured (adjusted odds ratio (aOR) 1.26 (1.20, 1.33). Among the 71,778 (∼36%) hospitalized for COVID-19, comparing Medicaid vs. uninsured: 44.9 vs. 56.3% had ICU care; 51.4% vs. 80.2% had pneumonia, 41.1% vs. 67.5% had respiratory failure with higher odds of developing these outcomes in uninsured (see Table 1). Median duration of hospital stay was longer in uninsured than Medicaid ( see Table 2a) and mortality in the hospital was 7.4% vs. 7.9% among Medicaid vs. uninsured (p< 0.0001). Thirty-day readmission rates were lower for Medicaid vs. uninsured (Table 3). In the year prior to the COVID-19 hospitalizations, use of health care among the uninsured was lower compared to Medicaid patients for outpatient, inpatient, and ER visits (p< 0.0001 for all comparisons; see Table 2b). Conclusion Uninsured in North Texas had lower odds of hospitalization vs. Medicaid patients, likely due to younger age, but once hospitalized had higher risk for COVID pneumonia, ICU care, and respiratory failure. Median number of days was higher among uninsured but in-hospital mortality was higher among Medicaid population. Prior contact with healthcare system was lower among uninsured and 30-day readmissions were also lower, suggesting barriers accessing health care. Poorer outcomes among uninsured once hospitalized may be due to untreated co-morbidities (Fig 3). Expansion of Medicaid has the potential of ameliorating these disparities. Figure 3Conclusion graphic Disclosures Mamta K. Jain, MD, MPH, Gilead Sciences: Grant/Research Support|GSK/ViiV: Grant/Research Support|Janssen: Grant/Research Support|Merck: Grant/Research Support|Regeneron: Grant/Research Support Mae Thamer, PhD, Gilead: Grant/Research Support Kavita Bhavan, MD, MPH, Gilead: Grant/Research Support.
Read morePatient Perspectives on Arteriovenous Fistula Use: Implications for Racial Disparities
AI in drug discovery: Applications, opportunities, and challenges
COVID-19 Is a Data Science Issue
Dialysis in Older Adults: Is Later Start the Preferred Approach?
Tale of Two Erythropoiesis-Stimulating Agents: Utilization, Dosing, Litigation, and Costs of Darbepoetin and Epoetin Among South Carolina Medicaid-Covered Patients With Cancer and Chemotherapy-Induced Anemia.
The US Food and Drug Administration (FDA) has approved epoetin and darbepoetin for chemotherapy-induced anemia (CIA). Approved epoetin and darbepoetin dosing schedules were three times per week and weekly, respectively, although off-label, less frequent scheduling was common. In 2004, 2007, and 2008, a US Food and Drug Administration Advisory Committees warned of risks associated with erythropoiesis-stimulating agents. During this period, lawsuits alleging illegal darbepoetin marketing practices have concluded, resulting in $1.1 billion in fines and settlements and one criminal conviction. No prior study, to our knowledge, has reported on the use of darbepoetin versus epoetin for CIA. We evaluated the dosing, utilization, and costs of erythropoiesis-stimulating agents among 3,761 South Carolina Medicaid patients with CIA. Epoetin and darbepoetin utilization rates were 22% and 28% in 2003, 10% and 33% in 2007, and 3% and 7% in 2010, respectively. Mean per-patient per-administration epoetin and darbepoetin doses were 40,983 IU and 191 µg, respectively, in 2003 and 47,753 IU and 369 µg, respectively, in 2010. Mean monthly patient costs for epoetin and darbepoetin were $1,030 and $981, respectively, in 2003 and $932 and $1,352, respectively, in 2010. Epoetin use decreased steadily between 2002 and 2010; darbepoetin use increased steadily between 2003 and 2007 and then decreased steadily thereafter. Per-patient dosing of darbepoetin, but not epoetin, increased steadily between 2003 and 2010, and monthly per-patient epoetin costs decreased 3% while the per-patients costs of darbepoetin increased 30% between 2003 and 2010. To our knowledge, our findings are the first data reporting on epoetin versus darbepoetin use for CIA and support recently concluded lawsuits involving allegations of illegal marketing practices of the manufacturer of darbepoetin.
Read moreImpact of the End Stage Renal Disease Prospective Payment System on the Use of Peritoneal Dialysis
Influence of safety warnings on ESA prescribing among dialysis patients using an interrupted time series
BackgroundIn March, 2007, a black box warning was issued by the Food and Drug Administration (FDA) to use the lowest possible erythropoiesis-stimulating agents (ESA) doses for treatment of anemia associated with renal disease. The goal is to determine if a change in ESA use was observed following the warning among US dialysis patients.MethodsESA therapy was examined from September 2004 through August 2009 (thirty months before and after the FDA black box warning) among adult Medicare hemodialysis patients. An interrupted time series model assessed the impact of the warnings.ResultsThe FDA black box warning did not appear to influence ESA prescribing among the overall dialysis population. However, significant declines in ESA therapy after the FDA warnings were observed for selected populations. Patients with a hematocrit ≥36% had a declining month-to-month trend before (−164 units/week, p = <0.0001) and after the warnings (−80 units/week, p = .001), and a large drop in ESA level immediately after the black box (−4,744 units/week, p = <.0001). Not-for-profit facilities had a declining month-to-month trend before the warnings (−90 units/week, p = .009) and a large drop in ESA dose immediately afterwards (−2,487 units/week, p = 0.015). In contrast, for-profit facilities did not have a significant change in ESA prescribing.ConclusionsESA therapy had been both profitable for providers and controversial regarding benefits for nearly two decades. The extent to which a FDA black box warning highlighting important safety concerns influenced use of ESA therapy among nephrologists and dialysis providers was unknown. Our study found no evidence of changes in ESA prescribing for the overall dialysis population resulting from a FDA black box warning.
Read moreSymbol-Index-Feedback Polar Coding Schemes for Low-Complexity Devices
Recently, a new class of error-control codes, the polar codes, have attracted much attention. The polar codes are the first known class of capacity-achieving codes for many important communication channels. In addition, polar codes have low-complexity encoding algorithms. Therefore, these codes are favorable choices for low-complexity devices, for example, in ubiquitous computing and sensor networks. However, the polar codes fall short in terms of finite-length error probabilities, compared with the state-of-the-art codes, such as the low-density parity-check codes. In this paper, in order to improve the error probabilities of the polar codes, we propose novel interactive coding schemes using receiver feedbacks based on polar codes. The proposed coding schemes have very low computational complexities at the transmitter side. By experimental results, we show that the proposed coding schemes achieve significantly lower error probabilities.
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