The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment-experiences of patients and clinicians.

BACKGROUND: Multimorbidity raises the number of essential information needed for delivery of high-quality care in patients with chronic diseases like rheumatoid arthritis (RA). We evaluated an innovative ICT platform for integrated care which orchestrates data from various health care providers to optimize care management processes. METHODS: The Horizon2020-funded research project PICASO (picaso-project.eu) established an ICT platform that offers integration of care services across providers and supports patients' management along the continuum of care, leaving the data with the owner. Strict conformity with ethical and legal legislations was augmented with a usability-driven engineering process, user requirements gathering from relevant stakeholders, and expert walkthroughs guided developments. Developments based on the HL7/FHIR standard granting interoperability. Platform's applicability in clinical routine was an essential aim. Thus, we evaluated the platform according to an evaluation framework in an observational 6-month proof-of-concept study with RA patients affected by cardiovascular comorbidities using questionnaires, interviews, and platform data. RESULTS: Thirty RA patients (80% female) participated, mean age 59 years, disease duration 13 years, average number of comorbidities 2.9. Home monitoring data demonstrated high platform adherence. Evaluations yielded predominantly positive feedback: The innovative dashboard-like design offering time-efficient data visualization, comprehension, and personalization was well accepted, i.e., patients rated the platform "overall" as 2.3 (1.1) (mean (SD), Likert scales 1-6) and clinicians recommended further platform use for 93% of their patients. They managed 86% of patients' visits using the clinician dashboard. Dashboards were valued for a broader view of health status and patient-physician interactions. Platform use contributed to improved disease and comorbidity management (i.e., in 70% physicians reported usefulness to assess patients' diseases and in 33% potential influence on treatment decisions; risk manager was used in 59%) and empowered patients (i.e., 48% set themselves new health-related goals, 92% stated easier patient-physician communications). CONCLUSION: Comprehensive aggregation of clinical data from distributed sources in a modern, GDPR-compliant cloud platform can improve physicians' and patients' knowledge of the disease status and comorbidities as well as patients' management. It empowers patients to monitor and positively contribute to their disease management. Effects on patients' outcome, behavior, and changes in the health care systems should be explored by implementing ICT-based platforms enriched by upcoming Artificial Intelligence features where possible. TRIAL REGISTRATION: DRKS-German Clinical Trials Register, DRKS00013637 , prospectively registered. 17 January 2018.

Survivin and XIAP expression in distinct tumor compartments of surgically resected gastric cancer: XIAP as a prognostic marker in diffuse and mixed type adenocarcinomas.

There is considerable evidence that the inhibitor of apoptosis protein (IAP) family serves a role in tumorigenesis. The most studied IAP family members, survivin and X-linked inhibitor of apoptosis (XIAP), have been demonstrated to serve as biomarkers in distinct tumor entities. Thus, the present study aimed to investigate the expression levels of both IAPs in the tumor center, invasion front and lymph node metastases of surgically resected gastric cancer (GC) specimens. Tissue microarrays containing samples from 201 primary GCs were analyzed. IAP expression was detected using immunohistochemistry in different tumor compartments, normal mucosa and lymph node metastases. In addition, the association between the expression levels of these proteins, and clinicopathological parameters and overall survival was investigated. High levels of survivin and XIAP were evident in GC, when compared with normal mucosa, and were correlated with intestinal-type and well-differentiated GC, as well as low International Union Against Cancer stages. Increased XIAP expression was detected in lymph node metastases as compared with corresponding primary tumors. XIAP overexpression was identified to be an independent negative prognostic marker in diffuse and mixed type GC. These results suggest a potential role of survivin and XIAP in the early phase of gastric carcinogenesis. In addition, increased XIAP expression in lymph node metastases supports the observation that IAPs serve an essential role in metastatic tumor disease. Since XIAP expression was identified to be associated with poor survival in diffuse and mixed type GC, XIAP may serve as a novel therapeutic target in these types of GC.

Role of survivin as prognostic and clinicopathological marker in gastric cancer: a meta-analysis.

Survivin has been implicated as a potential prognostic marker in a wide range of malignant tumours. However, the prognostic impact of survivin in gastric cancer remains to be controversial and published data are sometimes heterogeneous. Thus, aim of this study was to review the literature by performing an electronical database search via PubMed and EMBASE to identify eligible studies that assessed the impact of survivin as prognostic marker and its association with clinicopathological variables. Database search until November 21st 2012 retrieved 20 studies comprising 2,695 gastric cancer patients that assessed expression of survivin by immunohistochemistry or RT-PCR analyses in gastric cancer specimens. Meta-analyses of clinicopathological variables revealed an association between the expression of survivin and the presence of lymph node metastases (pooled OR: 0.58; 95 % CI 0.35-0.96). In addition, a correlation between the expression of survivin and overall survival for patients with gastric cancer (pooled HR 1.93; 95 % CI 1.51-2.48) became evident. More importantly, we were able to exclude a severe heterogeneity (I(2) = 31 %) or publication bias for the survival analyses. Furthermore, one-way sensitivity analysis and subgroup analyses regarding the method used to detect survivin, the type of survival analysis, the study quality and whether information was provided regarding neoadjuvant therapy supported our initial results. In conclusion, this meta-analysis indicates the prognostic significance of survivin in patients with gastric cancer.