The SMILE study: a study of medical information and lifestyles in Eindhoven, the rationale and contents of a large prospective dynamic cohort study

<p>Abstract</p> <p>Background</p> <p>Health problems, health behavior, and the consequences of bad health are often intertwined. There is a growing need among physicians, researchers and policy makers to obtain a comprehensive insight into the mutual influences of different health related, institutional and environmental concepts and their collective developmental processes over time.</p> <p>Methods/Design</p> <p>SMILE is a large prospective cohort study, focusing on a broad range of aspects of disease, health and lifestyles of people living in Eindhoven, the Netherlands. This study is unique in its kind, because two data collection strategies are combined: first data on morbidity, mortality, medication prescriptions, and use of care facilities are continuously registered using electronic medical records in nine primary health care centers. Data are extracted regularly on an anonymous basis. Secondly, information about lifestyles and the determinants of (ill) health, sociodemographic, psychological and sociological characteristics and consequences of chronic disease are gathered on a regular basis by means of extensive patient questionnaires. The target population consisted of over 30,000 patients aged 12 years and older enrolled in the participating primary health care centers.</p> <p>Discussion</p> <p>Despite our relatively low response rates, we trust that, because of the longitudinal character of the study and the high absolute number of participants, our database contains a valuable set of information.</p> <p>SMILE is a longitudinal cohort with a long follow-up period (15 years). The long follow-up and the unique combination of the two data collection strategies will enable us to disentangle causal relationships. Furthermore, patient-reported characteristics can be related to self-reported health, as well as to more validated physician registered morbidity. Finally, this population can be used as a sampling frame for intervention studies. Sampling can either be based on the presence of certain diseases, or on specific lifestyles or other patient characteristics.</p

Marrow angiogenesis-associated factors as prognostic biomarkers in patients with acute myelogenous leukaemia

Bone marrow (BM) neoangiogenesis plays an important role in acute myelogenous leukaemia (AML), and depends on the interplay of members of the vascular endothelial growth factor (VEGF) and angiopoietin (Ang) families. We determined the marrow levels of seven molecules associated with angiogenesis in 52 AML patients before chemotherapy and 20 healthy controls: VEGF-A, VEGF/PlGF, VEGF-C, VEGF-D, Ang-1, Ang-2, and Tie-2. All the molecules were quantified using enzyme-linked immunosorbent assay (ELISA). Comparing to normal controls, the marrow levels of VEGF/PlGF, Ang-2, and Tie-2 were significantly higher, and those of VEGF-C and Ang-1 were significantly lower in the AML patients (P<0.001). A total of 31 patients were further subjected to survival analysis. Patients with lower Tie-2 (<26 ng ml−1) and Ang-2 levels (<4500 pg ml−1) displayed a survival advantage (P=0.037 and 0.042, respectively), same as patients with higher VEGF/PlGF (⩾1 pg ml−1) and VEGF-D levels (⩾350 pg ml−1) (P=0.020 and 0.016, respectively). An angio-index ((Ang-2 × Tie-2)/(VEGF/PlGF × VEGF-D)) was established and multivariate Cox regression analysis revealed that patients with higher angio-index values (⩾50) displayed poor prognosis (hazard ratio 5.91, 95% confidence interval 1.99–17.56; P=0.001). The angio-index is closely associated with the clinical outcome of AML patients and may be valuable in disease prognosis

Relation between perceived health and sick leave in employees with a chronic illness

Introduction: To improve work participation in individuals with a chronic illness, insight into the role of work-related factors in the association between health and sick leave is needed. The aim of this study was to gain insight into the contribution of work limitations, work characteristics, and work adjustments to the association between health and sick leave in employees with a chronic illness. Methods: All employees with a chronic illness, between 15 and 65 years of age (n = 7,748) were selected from The Netherlands Working Conditions Survey. The survey included questions about perceived health, working conditions, and sick leave. Block-wise multivariate linear regression analyses were performed and, in different blocks, limitations at work, work characteristics, and work adjustments were added to the model of perceived health status. Changes in regression coefficient (B) (%) were calculated for the total group and for sub-groups per chronic illness. Results: When work limitations were added to the model, the B between health and sick leave decreased by 18% (5.0 to 4.1). Adding work characteristics did not decrease the association between health and sick leave, but the B between work limitations and sick leave decreased by 14%, (5.3 to 4.5). When work adjustments were added to the model, the Bs between sick leave and work limitations and work characteristics changed from 4.5 to 3.4 for work limitations and from 2.1 to 1.9 for temporary contract and from -0.8 to -1.0 for supervisor support. Conclusions: The association between health and sick leave was explained by limitations at work, work characteristics, and work adjustments. Paying more attention to work limitations, characteristics and adjustments offers opportunities to reduce the negative consequences of chronic illness. © The Author(s) 2010

Q fever after a journey in Syria: a diagnosis suggested by bone marrow biopsy

A Belgian patient developed Q fever after a journey in Syria. Coxiella burnetii infection was diagnosed because of the presence of granulomas with a central vacuole in a bone marrow biopsy. During doxycycline treatment all his symptoms disappeared

Multicentric Castleman's disease in 2 patients with HIV infection, unresponsive to antiviral therapy

Two HIV infected patients with multicentric Castleman's disease (MCD) and Kaposi's sarcoma are reported. Both died despite combination antiretroviral therapy including protease inhibitors