Elizabeth S. Klings
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Articles (9)
Year:
2025
Year:
2025
Year:
2025
Venous thromboembolism (VTE) risk is increased in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A key question was whether increased intensity of anticoagulation would help prevent VTE and improve patient outcomes, including transfer to the intensive care unit (ICU) and mortality. At the start of the coronavirus disease-19 (COVID-19) pandemic, our institution, Boston Medical Center, instituted a VTE risk stratification protocol based on patients’ initial D-dimer levels, medical history, and presence of thrombosis to determine whether they should receive standard-dose prophylaxis, high-dose prophylaxis, or therapeutic anticoagulation. We performed a retrospective observational cohort study examining the association of degree of anticoagulation with outcomes in 915 hospitalized COVID-19 patients hospitalized initially on the general inpatient wards between March 1,, 2020, and June 1, 2020. Patients directly hospitalized in the ICU were excluded. Most, 813 patients (89%), in our cohort were on standard-dose prophylaxis; 32 patients (3.5%) received high-dose prophylaxis; 70 patients (7.7%), were treated with therapeutic anticoagulation. VTE occurred in 45 patients (4.9%), and the overall in-hospital mortality rate was 5.4% (49 deaths). On multivariable analysis of clinical outcomes in relation to type of anticoagulation, in the high-dose prophylaxis group, there was a trend towards increased in-hospital mortality (odds ratio 2.4 (0.8–7.5, 95% CI)) and increased ICU transfer (odds ratio 2.2 (0.9-5.7, 95% CI)). Our results suggest that patients receiving high-dose prophylaxis had more severe disease that was not mitigated by intermediate-dose anticoagulation.
Year:
2024
Year:
2023
Year:
2023
Year:
2022
Prompt initiation of therapy after pulmonary arterial hypertension (PAH) diagnosis is critical to improve outcomes; yet delays in PAH treatment are common. Prior research demonstrates that individuals with PAH belonging to socially disadvantaged groups experience worse clinical outcomes. Whether these poor outcomes are mediated by delays in care or other factors is incompletely understood. We sought to examine the association between race/ethnicity and socioeconomic status and time‐to‐PAH treatment. We conducted a retrospective cohort study of Veterans diagnosed with incident PAH between 2006 and 2019 and treated with PAH therapy. Our outcome was time‐to‐PAH treatment. Our primary exposures were race/ethnicity, annual household income, health insurance status, education, and housing insecurity. We calculated time‐to‐treatment using multivariable mixed‐effects Cox proportional hazard models. Of 1827 Veterans with PAH, 27% were Black, 4% were Hispanic, 22.1% had an income < $20,000, 53.3% lacked non‐VA insurance, 25.5% had <high school education, and 3.9% had housing insecurity. Median time‐to‐treatment was 114 days (interquartile range [IQR] 21–336). Our multivariable models demonstrated increased time‐to‐treatment among patients with lower household income (hazard ratio [HR] 0.74, 95% confidence interval [CI] 0.60–0.91 for < $20,000 vs. ≥ $100,000) and those without non‐VA insurance (HR 0.90, 95% CI 0.82–1.00). Race/ethnicity, education, and housing insecurity were not associated with time‐to‐treatment. Veterans with PAH experienced substantial and potentially harmful treatment delays, with median time‐to‐treatment of 16 weeks after diagnosis. Those with lower income and those without non‐VA health insurance experienced even greater treatment delays. Additional research is urgently needed to develop interventions to improve timely PAH treatment and mitigate economic disparities in treatment.
Year:
2022
Year:
2021
Collaborators (7)
Robert Smyth
Assistant Professor
University of Iowa Hospitals and Clinics
Deepa M. Gopal
-
Andreea Bujor
Assistant Professor
Boston University
Robyn Cohen
Associate Professor
Boston University School of Medicine
NATHAN MESFIN
Assistant Professor of Medicine
University of Minnesota
Renda S. Wiener
-
A. Rani Elwy
Associate Professor; Director, Implementation Science Core
Brown University
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