Publications by authors named "Christian Hvid"

Background: Oxaliplatin-induced peripheral neuropathy (OIPN) in general and painful OIPN in particular is a debilitating late effect that severely affects cancer survivors' quality of life and causes premature cessation of potentially lifesaving treatment. No preventive treatments and no effective treatment for chronic OIPN exist despite many attempts. One of several suggested mechanisms includes neuroinflammation as a contributing factor to OIPN.

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Aim: To investigate factors associated with delays in receiving glucose-lowering therapy in patients newly diagnosed with type 2 diabetes mellitus (T2DM), and explore the preferential order and time of intensifications.

Materials And Methods: Retrospective cohort study including 120 409 adults with T2DM initiating first- to fourth-line glucose-lowering therapy in primary care between 2000 and 2018, using the UK Clinical Practice Research Datalink linked to Hospital Episode Statistics, Office of National Statistics death registration, and 2007 Index of Multiple Deprivation data. Associations were investigated using time-to-event analysis.

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Aims: To determine whether telephone and face-to-face primary care consultation rates, costs, and temporal trends during 2000 to 2018 differed by the number of comorbidities in people with type 2 diabetes (T2DM).

Methods: A total of 120 409 adults with newly diagnosed T2DM between 2000 and 2018 were classified by the number of prevalent and incident comorbidities. Data on face-to-face and telephone primary care consultations with a nurse or physician were obtained.

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Background: Drug costs are increasing in Europe, and there is a heightened need to reduce pressure on healthcare systems. In 2017, oncology, autoimmune disease, and diabetes featured as the three highest therapy areas for drug spend in the EU-28. However, the absolute 1-year drug spend growth for diabetes did not feature within the ten fastest growing therapy areas.

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Objective: Diabetes is associated with progression to severe COVID-19. The objective of this study was to estimate to what extent the increased risk among people with diabetes could impact the secondary care costs of COVID-19 throughout Europe during the first wave of the COVID-19 pandemic from January to June 2020.

Methods: Applying a health care cost model based on inputs from data published in international peer-reviewed journals, identified via a rapid literature review this study aimed to estimate the total secondary sector costs of COVID-19.

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Aim: To quantify the risk of cardiovascular disease (CVD) events, all-cause mortality and cardiovascular mortality in patients diagnosed with type 2 diabetes (T2D) and multimorbidity.

Methods: This retrospective study used English primary and secondary care data to identify 120 409 adults newly diagnosed with T2D during 2000-2018 with follow-up until death or 31 December 2018. Patients were classified according to the level and type of multimorbidity at T2D diagnosis, and adjusted hazard ratios (aHRs) were calculated for each outcome.

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Purpose: To model Head-and-Neck anatomy from daily Cone Beam-CT (CBCT) images over the course of fractionated radiotherapy using principal component analysis (PCA).

Methods And Materials: Eighteen oropharyngeal Head-and-Neck cancer patients, treated with volumetric modulated arc therapy (VMAT), were included in this retrospective study. Normal organs, including the parotid and submandibular glands, mandible, pharyngeal constrictor muscles (PCMs), and spinal cord were contoured using daily CBCT image datasets.

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Background: Adaptive (ART) and image guided radiation therapy (IGRT) can improve target coverage and reduce unnecessary irradiation of organs at risk (OAR). The purpose of this study is to report the results of using mid-course imaging and a novel workflow with cone-beam computed tomography (CBCT) surveillance of dose to OAR to trigger adaptive replanning in head and neck radiotherapy.

Material And Methods: Impact of radiation therapist (RTT) managed match protocol and mid-course imaging was assessed in two cohorts of consecutive patients receiving RT to the head and neck region, using computed tomography (CT) and CBCT-based dose verification respectively.

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Background: Autocontouring improves workflow in computed tomography (CT)-based dose planning, but could also potentially play a role for optimal use of daily cone beam CT (CBCT) in adaptive radiotherapy. This study aims to determine the accuracy of a deformable image registration (DIR) algorithm for organs at risk (OAR) in the neck region, when applied to CBCT.

Material And Methods: For 30 head and neck cancer (HNC) patients 14 OARs including parotid glands, swallowing structures and spinal cord were delineated.

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