The relationship between the duration of diabetes and dimensions of general health and quality of life associated with the health of diabetic patients.

Introduction: Diabetes is one of the most common chronic diseases in the world. Diabetes has a major impact on the quality of life of patients. The purpose of this study is the relationship between the duration of diabetes and dimensions of general health and quality of life associated with the health of diabetic patients. Materials and Methods: In this cross-sectional-analytical study, diabetic patients with more than 1-year history who were not suffering from other chronic diseases were included in the study. Then, using 15 questions for diabetes quality of life, questionnaires and GHQ28 general health were investigated in terms of quality of life and general health. The data were statistically analyzed using SPSS version 24 software. Results: The average age was equal to 42.8 ± 14.4 years (with a median of 40 years). The average duration of the disease in the patients was equal to 7.7 ± 7.2 years (with a median of 5 years). The average quality of life score of the patients was equal to 50.3 ± 7.8 (out of 75). A negative and significant correlation between age and quality of life of patients was observed (P < 0.001). The duration of the disease had a direct and significant relationship with the general health score. But a significant difference between the quality of life of married and single people was not observed (P = 0.613). A direct and significant relationship between duration of disease, age with physical symptoms (P < 0.001), anxiety and insomnia (P = 0.001), social activity failure (P = 0.013), and depression (P = 0.001) was observed and was also observed with the overall score of general health (P < 0.001). Discussion and Conclusion: The duration of diabetes disease affects the quality of life and general health of diabetic patients, and discomfort, depression, and anxiety are the main problems that affect the quality of life of diabetic patients.

Sodium-glucose cotransporter 2 inhibitors and renin-angiotensin-aldosterone system, possible cellular interactions and benefits.

Sodium glucose cotransporter 2 inhibitors (SGLT2is) are a newly developed class of anti-diabetics which exert potent hypoglycemic effects in the diabetic milieu. However, the evidence suggests that they also have extra-glycemic effects. The renin-angiotensin-aldosterone system (RAAS) is a hormonal system widely distributed in the body that is important for water and electrolyte homeostasis as well as renal and cardiovascular function. Therefore, modulating RAAS activity is a main goal in patients, notably diabetic patients, which are at higher risk of complications involving these organ systems. Some studies have suggested that SGLT2is have modulatory effects on RAAS activity in addition to their hypoglycemic effects and, thus, these drugs can be considered as promising therapeutic agents for renal and cardiovascular disorders. However, the exact molecular interactions between SGLT2 inhibition and RAAS activity are not clearly understood. Therefore, in the current study we surveyed the literature for possible molecular mechanisms by which SGLT2is modulate RAAS activity.

Temporal stability of defibrillation thresholds with cardiac resynchronization therapy.

BACKGROUND: Defibrillation thresholds (DFTs) are typically stable over time among patients with implantable cardioverter-defibrillators (ICDs). However, the impact of cardiac resynchronization therapy (CRT) on DFTs has not been studied systematically. OBJECTIVE: This study prospectively evaluated the effect of CRT and left ventricular (LV) chamber reverse remodeling on DFTs. METHODS: This prospective, multicenter study evaluated 54 cardiac resynchronization therapy defibrillator (CRT-D) patients. Echocardiography and DFTs were performed both at implantation and at 6 months after implantation. All patients received dual-coil leads and a CRT-D pulse generator. DFTs were measured using a binary search method and tuned biphasic waveforms, where the shock pulse widths were determined by the measured shock impedance. Echocardiograms were analyzed by an independent core laboratory with a responder defined as a decrease of left ventricular end systolic volume >15%. RESULTS: The study cohort was 74% male, with a mean age of 68.7 ± 10.9 years. The baseline ejection fraction was 0.245 ± 0.076, and the mean New York Heart Association class was 2.9 ± 0.4. In CRT responders (n = 32) the mean DFT was 415.6 ± 108.1 V at implantation vs. 415.6 ± 124.7 V at 6 months (P = .9), and in nonresponders (n = 19) the mean DFT was 452.6 ± 102 V at implantation vs. 447.4 ± 112.4 V at 6 months (P = .8). There was no significant change in DFT peak voltage, delivered energy, or shock impedance over time. CONCLUSION: DFTs were unchanged at 6 months in CRT patients with or without LV chamber reverse remodeling.

An ontological knowledge framework for adaptive medical workflow.

As emerging technologies, semantic Web and SOA (Service-Oriented Architecture) allow BPMS (Business Process Management System) to automate business processes that can be described as services, which in turn can be used to wrap existing enterprise applications. BPMS provides tools and methodologies to compose Web services that can be executed as business processes and monitored by BPM (Business Process Management) consoles. Ontologies are a formal declarative knowledge representation model. It provides a foundation upon which machine understandable knowledge can be obtained, and as a result, it makes machine intelligence possible. Healthcare systems can adopt these technologies to make them ubiquitous, adaptive, and intelligent, and then serve patients better. This paper presents an ontological knowledge framework that covers healthcare domains that a hospital encompasses-from the medical or administrative tasks, to hospital assets, medical insurances, patient records, drugs, and regulations. Therefore, our ontology makes our vision of personalized healthcare possible by capturing all necessary knowledge for a complex personalized healthcare scenario involving patient care, insurance policies, and drug prescriptions, and compliances. For example, our ontology facilitates a workflow management system to allow users, from physicians to administrative assistants, to manage, even create context-aware new medical workflows and execute them on-the-fly.