No abstract

Evidence based on average patient data, which occupies most of our present day information databases, does not fulfil the needs of individual patient-centred health care. In spite of the unprecedented expansion in medical information we still do not have the types of information required to allow us to tailor optimal care for a given individual patient. As our current information is chiefly provided in disconnected silos, we need an information system that can seamlessly integrate different types of information to meet diverse user group needs. Groups of certain individual medical learners namely patients, medical students and health professionals share the patient's need to increasingly interact with and seek knowledge and solutions offered by others (individual medical learners) who have the lived experiences that they would benefit to access and learn from. A web-based user-driven learning solution may be a stepping-stone to address the present problem of information oversupply in medicine that mostly remains underutilized, as it doesn't meet the needs of the individual patient and health professional user. The key to its success would be to relax central control and make local trust and strategic health workers feel more engaged in the project such that it is truly user-driven.

The numerical response of the predator Coccinella septempunctata shows that the individual predation rate (prey is mustard aphid, Lipaphis erysim) of the grubs decreases with increase of its density. The interference [mutual interference constant (m) = 0.62] between grubs at higher densities was suggested as a cause for this behavioural response and was explained by applying the population model of HASSELL and VARLEY. The data also furnish an insight into the number of predators needed to regulate the estimated prey population and 1: 50 ratio of predator to prey for the immediate release of C. septempunctata was recommended against L. erysimi. Zusammenfassung Dichtereaktionen und Jagdareal von Coccinella septempunctata L. Die numerische Reaktion des Prädators C. septempunctata zeigte, daß die individuelle Prädationsquote (Beute: Senfblattlaus, Lipaphis erysimi) der Käferlarven mit der Dichte anstieg. Die Beziehungen (Beziehungskonstante m = 0,62) zwischen den Larven bei höherer Dichte wurden als Ursache für diese Reaktion angesehen und unter Anwendung des Populationsmodells von HASSELL und VARLEY näher betrachtet. Die Ergebnisse ergaben auch einen Einblick in die Zahl der Prädatoren, welche notwendig sind, die geschätzte Beute‐Population zu reduzieren. Hierfür wird eine Freilassungsquote von 1 C. septempunctata auf 50 L. erysimi‐Individuen empfohlen.

No abstract

We present the case of a 33-year-old woman with complaints of headache and palpitations with raised urinary catecholamines. Ultrasound of the abdomen was noncontributory, and the patient was referred for 68Ga-DOTANOC PET/CT, which revealed tracer accumulation in the thecal sac/spinal canal at D5–D7 level, suggestive of a thoracic paraganglioma. MRI of the spine subsequently confirmed the presence of an extradural mass in the spinal canal extending from D4 to D8.