Whether insulin use is associated with poor outcomes in HF should be investigated further with controlled trials, as should the possibility that there may be safer alternative glucose-lowering treatments for patients with HF and type 2 diabetes mellitus.
Objectiveto develop and validate the Drug Derived Complexity Index (DDCI), a predictive model derived from drug prescriptions able to stratify the general population according to the risk of death, unplanned hospital admission, and readmission, and to compare the new predictive index with the Charlson Comorbidity Index (CCI).DesignPopulation-based cohort study, using a record-linkage analysis of prescription databases, hospital discharge records, and the civil registry. The predictive model was developed based on prescription patterns indicative of chronic diseases, using a random sample of 50% of the population. Multivariate Cox proportional hazards regression was used to assess weights of different prescription patterns and drug classes. The predictive properties of the DDCI were confirmed in the validation cohort, represented by the other half of the population. The performance of DDCI was compared to the CCI in terms of calibration, discrimination and reclassification.Setting6 local health authorities with 2.0 million citizens aged 40 years or above.ResultsOne year and overall mortality rates, unplanned hospitalization rates and hospital readmission rates progressively increased with increasing DDCI score. In the overall population, the model including age, gender and DDCI showed a high performance. DDCI predicted 1-year mortality, overall mortality and unplanned hospitalization with an accuracy of 0.851, 0.835, and 0.584, respectively. If compared to CCI, DDCI showed discrimination and reclassification properties very similar to the CCI, and improved prediction when used in combination with the CCI.Conclusions and RelevanceDDCI is a reliable prognostic index, able to stratify the entire population into homogeneous risk groups. DDCI can represent an useful tool for risk-adjustment, policy planning, and the identification of patients needing a focused approach in everyday practice.
The Strategic Implementation Plan of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) proposed six Action Groups. After almost three years of activity, many achievements have been obtained through commitments or collaborative work of the Action Groups. However, they have often worked in silos and, consequently, synergies between Action Groups have been proposed to strengthen the triple win of the EIP on AHA. The paper presents the methodology and current status of the Task Force on EIP on AHA synergies. Synergies are in line with the Action Groups' new Renovated Action Plan (2016-2018) to ensure that their future objectives are coherent and fully connected. The outcomes and impact of synergies are using the Monitoring and Assessment Framework for the EIP on AHA (MAFEIP). Eight proposals for synergies have been approved by the Task Force: Five cross-cutting synergies which can be used for all current and future synergies as they consider overarching domains (appropriate polypharmacy, citizen empowerment, teaching and coaching on AHA, deployment of synergies to EU regions, Responsible Research and Innovation), and three cross-cutting synergies focussing on current Action Group activities (falls, frailty, integrated care and chronic respiratory diseases).
BackgroundSuccessful vascular anastomosis is essential for the survival of free tissue transfer. The aim of the study is to review the current literature and perform a meta‐analysis to assess the potential advantages of a mechanical anastomosis coupler device (MACD) over the hand‐sewn (HS) technique for venous anastomoses.MethodsA systematic Medline search was performed to gather all reports of articles related to MACD from 1984 until now. The following data were extracted: first author and publication date, study design, number of patients and anastomosis, coupler size, site and type of reconstruction, venous anastomotic time, flap failure. A meta‐analysis was performed on articles that met the following inclusion criteria: studies comparing MACD and HS technique in venous anastomosis, reporting anastomotic time, and postoperative complications.ResultsThirty‐three studies were included for the analysis. Twenty‐four were retrospective case series and nine were retrospective comparative studies. A total of 12,304 patients were enrolled with a mean age of 49.23 years (range 31–72). A total of 13,669 flaps were accomplished. The thrombosis rate recorded with MACD was 1.47%. The meta‐analysis revealed that MACD significantly decreased anastomotic time (standard difference in means = −0.395 ± 0.105; Z = −3.776; p < .001) and postoperative flap failure risk (odds ratio [OR] = 0.362, 95% confidence interval [CI] = 0.218–0.603, Z = −3.908, p < .001), but it did not decrease postoperative venous thrombosis risk (OR = 0.504, 95% CI = 0.255–1.129, Z = −1.666, p = .096).ConclusionsMACDs are a safe and effective alternative to traditional anastomosis. The anastomotic coupler is easier, much faster, and requires less technical skills than a HS microvascular anastomosis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.