Background Diabetes is a cardiometabolic comorbidity that may predispose COVID‐19 patients to worse clinical outcomes. This study sought to determine the prevalence of diabetes in hospitalized COVID‐19 patients and investigate the association of diabetes severe COVID‐19, rate of acute respiratory distress syndrome (ARDS), mortality, and need for mechanical ventilation by performing a systematic review and meta‐analysis. Methods Individual studies were selected using a defined search strategy, including results up until July 2021 from PubMed, Embase, and Cochrane Central Register of Controlled Trials. A random‐effects meta‐analysis was performed to estimate the proportions and level of association of diabetes with clinical outcomes in hospitalized COVID‐19 patients. Forest plots were generated to retrieve the odds ratios (OR), and the quality and risk assessment was performed for all studies included in the meta‐analysis. Results The total number of patients included in this study was 10 648, of whom 3112 had diabetes (29.23%). The overall pooled estimate of prevalence of diabetes in the meta‐analysis cohort was 31% (95% CI, 0.25‐0.38; z = 16.09, P < .0001). Diabetes significantly increased the odds of severe COVID‐19 (OR 3.39; 95% CI, 2.14‐5.37; P < .0001), ARDS (OR 2.55; 95% CI, 1.74‐3.75; P = <.0001), in‐hospital mortality (OR 2.44; 95% CI, 1.93‐3.09; P < .0001), and mechanical ventilation (OR 3.03; 95% CI, 2.17‐4.22; P < .0001). Conclusions Our meta‐analysis demonstrates that diabetes is significantly associated with increased odds of severe COVID‐19, increased ARDS rate, mortality, and need for mechanical ventilation in hospitalized patients. We also estimated an overall pooled prevalence of diabetes of 31% in hospitalized COVID‐19 patients.
A new National eHealth System allows for better identification and monitoring of citizens with diabetes. However, the rapidly growing expense of insulin in the past has been unsustainable. The potential exists for a stronger role for lifestyle interventions in prevention and treatment of T2D. Significant changes in dietary patterns parallel the rise in diabetes prevalence and are likely a leading cause of diabetes and its complications. Research in RoM is needed to determine the impact and acceptability of dietary interventions for prevention and treatment of T2D, as a first step toward reduction of diabetes prevalence and its complications and controlling spiraling health care costs.
In 2019, the EPMA celebrated its 10th anniversary at the 5th World Congress in Pilsen, Czech Republic. The history of the International Professional Network dedicated to Predictive, Preventive and Personalised Medicine (PPPM / 3PM) is rich in achievements. Facing the coronavirus COVID-19 pandemic it is getting evident globally that the predictive approach, targeted prevention and personalisation of medical services is the optimal paradigm in healthcare demonstrating the high potential to save lives and to benefit the society as a whole. The EPMA World Congress Supplement 2020 highlights advances in 3P medicine.
Breast cancer (BC) epidemic is recognised now worldwide as the reality of the early twenty-first century. Increasing trends in the postmenopausal BC prevalence, even for the European countries earlier demonstrating relatively stable incidence rates of the disease, are highly alarming for the healthcare givers. This new actuality requires a substantial revision of the paradigm currently applied to the BC management and creation of highly innovative concepts. Current multi-centred study highlights new complex mechanisms of the development and progression of the postmenopausal BC. Innovative concepts are presented which argue for more effective predictive and preventive approaches well justified in view of the clusters of the symptoms analysed here and demonstrated as highly prevalent in the postmenopausal breast cancer versus BC-free individuals. Another conceptual novelty presented here is a new interpretation of the BSeed and Soilt heory of metastasis in BC. According to the new concept, the Bpre-metastatic niches^(BSoil^) are created by a systemic hypoxia a long time before the breast malignancy is clinically manifested.
Predictive preventive personalized medicine Liver cancer is the fifth most common form of cancer worldwide [1], with an incidence rate almost equals the mortality rate and ranks 3 rd among causes of cancer related death [2]. The coexistence of two life threatening conditions, cancer and liver cirrhosis makes the staging challenging. However, there are some staging systems, e.g. the Barcelona staging system for Hepatocellular carcinoma (HCC) [3], that suggest treatment options and management. Whereas diagnosis in early stages gives hope for a curative outcome, the treatment regime for around 80 % [2] of the patients classified as severe stages only gears towards palliation [4]. An intra-arterial radiation approach, radioembolisation (RE) is ubiquitously applied as one of palliative approaches. Although, in general RE shows promising results in intermediate and advanced stage HCC [5], individual treatment outcomes are currently unpredictable. Corresponding stratification criteria are still unclear. We hypothesised that individual radioresistance/radiosensitivity may play a crucial role in treatment response towards RE strongly influencing individual outcomes. Further, HCC represents a highly heterogeneous group of patients which requires patient stratification according to clear criteria for treatment algorithms to be applied individually. Multilevel diagnostic approach (MLDA) is considered helpful to set-up optimal predictive and prognostic biomarker panel for individualised application of radioembolisation. Besides comprehensive medical imaging, our MLDA includes non-invasive multi-omics and sub-cellular imaging. Individual patient profiles are expected to give a clue to targeting shifted molecular pathways, individual RE susceptibility, treatment response. Hence, a dysregulation of the detoxification pathway (SOD2/Catalase) might indicate possible adverse effects of RE, and highly increased systemic activities of matrix metalloproteinases indicate an enhanced tumour aggressiveness and provide insights into molecular mechanisms/targets. Consequently, an optimal set-up of predictive and prognostic biomarker panels may lead to the changed treatment paradigm from untargeted "treat and wait" to the cost-effective predictive, preventive and personalised approach, improving the life quality and life expectancy of HCC patients. Keywords: Market access, Value, Strategy, Companion diagnostics, Cost-effectiveness, Reimbursement, Health technology assessment, Economic models, Predictive preventive personalized medicine Achieving and sustaining seamless "drug -companion diagnostic" market access requires a sound strategy throughout a product life cycle, which enables timely creation, substantiation and communication of value to key stakeholders [1, 2]. The study aims at understanding the root-cause of market access inefficiencies of companies by gazing at the "Rx-CDx" co-development process through the prism of "value", and developing a perfect co-development scenario based on the literature review and discussions with the ...
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