Publications by authors named "Per E Jorgensen"

A number of current trends will affect and probably change laboratory medicine, as we know it. Scientific and technological developments, digital health with big data and artificial intelligence, and centralization will change the interfaces among the specialties of laboratory medicine. They might even challenge the identity of some specialties.

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Challenging times lay ahead for laboratory medicine in Europe due to at least three factors. 1) The scientific and technological developments increase the diagnostic possibilities but at the same time they will also change the interfaces among the different specialties of laboratory medicine. 2) The demographic changes with a more elderly population increase the demands for laboratory tests.

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Background: There is increasing interest in direct patient engagement including receiving their laboratory medicine results. We previously established an appetite for Specialists in Laboratory Medicine to support patients in understanding results. The aim of this study was to establish whether patients agreed with such an approach, determined through surveying views in eight European countries.

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Background: Medicine is a highly professionalized endeavour, by tradition centred on the authority of physicians. Better education and the advent of the information age cater for increased demands on society in general and on health care in particular to enable people to make informed decisions regarding themselves. Participation in medical decisions requires informed knowledge which is hard to obtain without substantial and time consuming professional help.

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Serum protein profiling by mass spectrometry has achieved attention as a promising technology in oncoproteomics. We performed a systematic review of published reports on protein profiling as a diagnostic tool for breast cancer. The MEDLINE, EMBASE, and COCHRANE databases were searched for original studies reporting discriminatory protein peaks for breast cancer as either protein identity or as m/ z values in the period from January 1995 to October 2006.

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Serum protein profiling by mass spectrometry is a promising method for early detection of cancer. We have implemented a combined strategy based on matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and statistical data analysis for serum protein profiling and applied it in a well-described breast cancer case-control study. A rigorous sample collection protocol ensured high quality specimen and reduced bias from preanalytical factors.

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Protein profiling of human serum by matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) is potentially a new diagnostic tool for early detection of human diseases, including cancer. Sample preparation is a key issue in MALDI MS and the analysis of complex samples such as serum requires optimized, reproducible methods for handling and deposition of protein samples. Data acquisition in MALDI MS is also a critical issue, since heterogeneity of sample deposits leads to attenuation of ion signals in MALDI MS.

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Serum profiling by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) holds promise as a clinical tool for early diagnosis of cancer and other human diseases. Sample preparation is key to achieving reproducible and well-resolved signals in MALDI-MS; a prerequisite for translation of MALDI-MS based diagnostic methods to clinical applications. We have investigated a number of MALDI matrices and several miniaturized solid-phase extraction (SPE) methods for serum protein concentration and desalting with the aim of generating reproducible, high-quality protein profiles by MALDI-MS.

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Repeated samplings and measurements in the monitoring of patients to look for changes are common clinical problems. The "reference change value", calculated as zp x [2 x (CVI2 + CVA2)](1/2), where zp is the z-statistic and CVI and CVA are within-subject and analytical coefficients of variation, respectively, has been used to detect whether a measured difference between measurements is statistically significant. However, a reference change value only detects the probability of false-positives (type I error), and for this reason, a model to calculate the risk of missing significant changes in serial results from individuals (probability of false-negatives) is investigated in this work by means of power functions.

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The granular convoluted tubule (GCT) cells of the submandibular glands represent a major production site for epidermal growth factor (EGF). This study investigates EGF production in the submandibular glands in relation to beta-adrenergic stimulation. Rats were treated with isoproterenol (beta-agonist), which caused up to a 400% increase in submandibular tissue weight after 3 weeks.

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