Publications by authors named "T Wagner"

Importance: Surgical quality improvement efforts have largely focused on 30-day outcomes, such as readmissions and complications. Surgery may have a sustained impact on the health and quality of life of patients considered frail, yet data are lacking on the long-term health care utilization of patients with frailty following surgery.

Objective: To examine the independent association of preoperative frailty on long-term health care utilization (up to 24 months) following surgery.

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Electrochemical reduction of CO (CORR) to multi-carbon products is a promising technology to store intermittent renewable electricity into high-added-value chemicals and close the carbon cycle. Its industrial scalability requires electrocatalysts to be highly selective to certain products, such as ethylene or ethanol. However, a substantial knowledge gap prevents the design of tailor-made materials, as the properties ruling the catalyst selectivity remain elusive.

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Purpose: Teclistamab is initiated with a step-up dosing (SUD) schedule to mitigate the risk of cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). Early teclistamab users commonly received SUD in a hospital setting. This study aimed to evaluate safety and health care resource utilization (HRU) in real-world patients with multiple myeloma who initiated teclistamab SUD in an outpatient setting.

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Background: Hospital presumptive eligibility (HPE) emergency Medicaid programs offset patient bills at hospitalization and can provide long-term Medicaid coverage. We characterized postdischarge outpatient health care utilization among HPE Medicaid trauma patients and identified patient access facilitators and barriers once newly insured. We hypothesized utilization would be increased among HPE trauma patients compared with other HPE patients, but that challenges in access to care would remain.

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Background: [F] Fluorodeoxyglucose (FDG) PET-CT is a clinical imaging modality widely used in diagnosing and staging lung cancer. The clinical findings of PET-CT studies are contained within free text reports, which can currently only be categorised by experts manually reading them. Pre-trained transformer-based language models (PLMs) have shown success in extracting complex linguistic features from text.

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