Publications by authors named "J K Lowry"

Individuals with pacemakers are at increased risk of left ventricular systolic dysfunction (LVSD). Whether screening for and optimizing the medical management of LVSD in these individuals can improve clinical outcomes is unknown. In the present study, in a multicenter controlled trial (OPT-PACE), we randomized 1,201 patients (717 men) with a pacemaker to echocardiography screening or usual care.

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A modified development protocol and concomitant characterisation of a first generation biosensor for the detection of brain extracellular d-serine is reported. Functional parameters important for neurochemical monitoring, including sensor sensitivity, O interference, selectivity, shelf-life and biocompatibility were examined. Construction and development involved the enzyme d-amino acid oxidase (DAAO), utilising a dip-coating immobilisation method employing a new extended drying approach.

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Introduction: Women of childbearing age make up around 5-10% of individuals with spinal cord injury (SCI) and may face unique medical and functional complications during pregnancy, including prolonged hospitalization and increased risk of early rehospitalization due to falls.

Case Presentation: Here, we discuss a case of a young ambulatory woman with a lumbar motor incomplete spinal cord injury who underwent successful delivery via cesarean section and the role of the physiatrist in the management of the patient's antepartum, intrapartum, and postpartum complications. The patient faced significant antepartum challenges secondary to her neurogenic bladder and pelvic floor weakness, resulting in increased use of her manual wheelchair.

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Article Synopsis
  • The study addresses the limitations of current genetic testing for cardiovascular disease (CVD) by introducing a comprehensive clinical genome test with semi-automated interpretation.
  • The test assesses various genetic factors, including monogenic conditions, polygenic risk scores, and pharmacogenomics, using data from a broad genomic database.
  • Findings suggest that this approach can effectively identify genetic risks for CVD, providing valuable information for patients and potentially enabling broader public health applications.
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