Search

Yskert von Kodolitsch,1 Meike Rybczynski,1 Marina Vogler,2 Thomas S Mir,3 Helke Schüler,1 Kerstin Kutsche,4 Georg Rosenberger,4 Christian Detter,5 Alexander M Bernhardt,5 Axel Larena-Avellaneda,6 Tilo Kölbel,6 E Sebastian Debus,6 Malte Schroeder,7,8 Stephan J Linke,9,10 Bettina Fuisting,9 Barbara Napp,1 Anna Lena Kammal,11 Klaus Püschel,11 Peter Bannas,12 Boris A Hoffmann,13 Nele Gessler,13 Eva Vahle-Hinz,14 Bärbel Kahl-Nieke,14 Götz Thomalla,15 Christina Weiler-Normann,16 Gunda Ohm,17 Stefan Neumann,18 Dieter Benninghoven,19 Stefan Blankenberg,1 Reed E Pyeritz20 1Clinic of Cardiology, University Heart Centre, 2Marfan Hilfe Deutschland e.V., Zentrumsehstärke, 3Clinic for Pediatric Cardiology, University Heart Centre, 4Institute of Human Genetics, 5Clinic of Cardiovascular Surgery, University Heart Centre, 6Clinic of Vascular Medicine, University Heart Centre, 7Department of Trauma, Hand, and Reconstructive Surgery, 8Department of Orthopedics, 9Clinic of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 10Smilow Center for Translational Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; 11Department of Legal Medicine, 12Diagnostic and Interventional Radiology Department and Clinic, 13Clinic of Electrophysiology, University Heart Centre, 14Department of Orthodontics, Center for Dental and Oral Medicine, 15Clinic of Neurology, 16Martin Zeitz Center for Rare Diseases, 17Strategic Business Development, 18Business Unit Quality Management, University Medical Center Hamburg-Eppendorf, 19Mühlenberg-Clinic for Rehabilitation, Bad Malente-Gremsmühlen, 20Zentrumsehstärke, Hamburg, Germany Abstract: Marfan syndrome (MFS) is a rare, severe, chronic, life-threatening disease with multiorgan involvement that requires optimal multidisciplinary care to normalize both prognosis and quality of life. In this article, each key team member of all the medical disciplines of a multidisciplinary health care team at the Hamburg Marfan center gives a personal account of his or her contribution in the management of patients with MFS. The authors show how, with the support of health care managers, key team members organize themselves in an organizational structure to create a common meaning, to maximize therapeutic success for patients with MFS. First, we show how the initiative and collaboration of patient representatives, scientists, and physicians resulted in the foundation of Marfan centers, initially in the US and later in Germany, and how and why such centers evolved over time. Then, we elucidate the three main structural elements; a team of coordinators, core disciplines, and auxiliary disciplines of health care. Moreover, we explain how a multidisciplinary health care team integrates into many other health care structures of a university medical center, including external quality assurance; quality management system; clinical risk management; center for rare diseases; aorta center; health care teams for pregnancy, for neonates, and for rehabilitation; and in structures for patient centeredness. We provide accounts of medical goals and standards for each core discipline, including pediatricians, pediatric cardiologists, cardiologists, human geneticists, heart surgeons, vascular surgeons, vascular interventionists, orthopedic surgeons, ophthalmologists, and nurses; and of auxiliary disciplines including forensic pathologists, radiologists, rhythmologists, pulmonologists, sleep specialists, orthodontists, dentists, neurologists, obstetric surgeons, psychiatrist/psychologist, and rehabilitation specialists. We conclude that a multidisciplinary health care team is a means to maximize therapeutic success. Keywords: multidisciplinary, Marfan syndrome, health care, team, profession, sociology, management

Abstract Background Until now, insomnia has not been much of interest in epidemiological neighbourhood studies, although literature provides evidence enough for insomnia-related mechanisms being potentially dependent on neighbourhood contexts. Besides, studies have shown differences in sleep along individual social characteristics that might render residents more vulnerable to neighbourhood contextual exposures. Given the role of exposure duration and changes in the relationship between neighbourhoods and health, we studied associations of neighbourhood unemployment and months under residential turnover with insomnia by covering ten years of residential history of nearly 3,000 urban residents in the Ruhr Area, Germany. Methods Individual data were retrieved from the Heinz Nixdorf Recall Study, a population-based study of randomly chosen participants from adjacent cities, which contains self-rated insomnia symptoms and individual social characteristics. Participants’ residential addresses were retrospectively assessed using public registries. We built individually derived exposure measures informing about mean neighbourhood unemployment rates and months under high residential turnover. These measures were major predictors in multivariate logistic regressions modelling the association between social neighbourhood characteristics and insomnia in the whole sample and subgroups defined by low income, low education, social isolation, and change of residence. Traffic-related noise, age, gender, economic activity, and education were considered as covariates. Results Nearly 12 per cent of the participants complained about insomnia. Associations of neighbourhood unemployment with insomnia were more consistent than those of residential turnover in the whole sample (adjusted OR 1.42, 95% CI 1.00-2.03 for neighbourhood unemployment and OR 1.33, 95% CI 0.78-2.25 for residential turnover in the highest exposure categories). In low-income and socially isolated participants, neighbourhood unemployment odds of reporting insomnia were particularly elevated (adjusted OR 2.90, 95% CI 1.39-6.02 and OR 3.32, 95% CI 1.11-9.96, respectively). Less educated participants displayed relatively high odds of reporting insomnia throughout all upper neighbourhood unemployment exposure categories. Change of residence weakened associations, whereas undisrupted exposure sharpened them by trend. Conclusions Our findings hint at multiple stressors being effective in both the neighbourhood context and individual resident, possibly reflecting precarious life situations undermining residents’ sleep and health chances. Moreover, our results suggest a temporal dependency in the association between neighbourhood and insomnia.

Abstract Background Epidemiological studies suggest that long-term exposure to transport noise increases the risk for cardiovascular disorders. The effect of transport noise on blood pressure and hypertension is uncertain. Methods In 1993-1997, 57,053 participants aged 50-64 year were enrolled in a population-based cohort study. At enrolment, systolic and diastolic blood pressure was measured. Incident hypertension during a mean follow-up of 5.3 years was assessed by questionnaire. Residential long-term road traffic noise (Lden) was estimated for 1- and 5-year periods preceding enrolment and preceding diagnosis of hypertension. Residential exposure to railway noise was estimated at enrolment. We conducted a cross-sectional analysis of associations between road traffic and railway noise and blood pressure at enrolment with linear regression, adjusting for long-term air pollution, meteorology and potential lifestyle confounders (N = 44,083). Incident self-reported hypertension was analyzed with Cox regression, adjusting for long-term air pollution and potential lifestyle confounders. Results We found a 0.26 mm Hg higher systolic blood pressure (95% confidence intervals (CI): -0.11; 0.63) per 10 dB(A) increase in 1-year mean road traffic noise levels, with stronger associations in men (0.59 mm Hg (CI: 0.13; 1.05) per 10 dB(A)) and older participants (0.65 mm Hg (0.08; 1.22) per 10 dB(A)). Road traffic noise was not associated with diastolic blood pressure or hypertension. Exposure to railway noise above 60 dB was associated with 8% higher risk for hypertension (95% CI: -2%; 19%, P = 0.11). Conclusions While exposure to road traffic noise was associated with systolic blood pressure in subgroups, we were not able to identify associations with hypertension.