Publications by authors named "R R Pfeiffer"

Structural or electrophysiologic cardiac anomalies may compromise cardiac function, leading to sudden cardiac death (SCD). Genetic screening of families with severe cardiomyopathies underlines the role of genetic variations in cardiac-specific genes. The present study details the clinical and genetic characterization of a malignant dilated cardiomyopathy (DCM) case in a 1-year-old Mexican child who presented a severe left ventricular dilation and dysfunction that led to SCD.

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Introduction/aim: Patients with myotonic dystrophy type1 (DM1) have reduced lifespan. This study aimed to quantify mortality risks, and evaluate causes and time trends in DM1.

Methods: We identified 1021 DM1 patients and 15,104 matched DM1-free controls from the United Kingdom (UK) Clinical Practice Research Datalink.

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Purpose: Inflammatory breast cancer (IBC) is a rare and aggressive type of breast cancer, as many physicians may not be aware of it in terms of symptoms and diagnosis. Mammography is the first choice in breast screenings and diagnosis. Because of a lack of expertise and imaging datasets, IBC portrayal and machine learning-based diagnosis systems have not yet been studied thoroughly.

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Importance: Merkel cell carcinoma (MCC) is a rare but aggressive skin cancer. Quantifying the contribution of major potentially modifiable risk factors to the burden of MCC may inform prevention efforts.

Objective: To estimate the population attributable fraction of MCC cases in the US that were attributable to major immunosuppressing conditions (eg, HIV, solid organ transplant, chronic lymphocytic leukemia [CLL]), ambient UV radiation [UVR] exposure, and Merkel cell polyomavirus [MCPyV]).

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Background: Cancer risk among people with HIV (PWH) has declined over time as a result of antiretroviral therapy, but it is unclear whether all racial/ethnic groups and transmission risk groups have experienced equal declines.

Methods: We used data on PWH aged ≥20 years old from the HIV/AIDS Cancer Match Study during 2001-2019. We used Poisson regression to assess time trends in incidence rates for each cancer site by racial/ethnicity and risk group, adjusting for age, registry, and sex.

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