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1.
  • 2021
  • swepub:Mat__t
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  • 2021
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  • Bravo, L, et al. (author)
  • 2021
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  • Tabiri, S, et al. (author)
  • 2021
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  • Glasbey, JC, et al. (author)
  • 2021
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  • Despotou, George, et al. (author)
  • Localisation, Personalisation and Delivery of Best Practice Guidelines on an Integrated Care and Cure Cloud Architecture : The C3-Cloud Approach to Managing Multimorbidity
  • 2020
  • In: Digital Personalized Health and Medicine. - : IOS Press. - 9781643680835 - 9781643680828 ; , s. 623-627
  • Conference paper (peer-reviewed)abstract
    • BACKGROUND: C3-Cloud is an integrated care ICT infrastructure offering seamless patient-centered approach to managing multimorbidity, deployed in three European pilot sites. Challenge: The digital delivery of best practice guidelines unified for multimorbidity, customized to local practice, offering the capability to improve patient personalization and benefit.METHOD: C3-Cloud has adopted a co-production approach to developing unified multimorbidity guidelines, by collating and reconciling best practice guidelines for each condition. Clinical and technical teams at pilot sites and the C3-Cloud consortium worked in tandem to create the specification and technical implementation.RESULTS: C3-Cloud offers CDSS for diabetes, renal failure, depression and congenital heart failure, with over 300 rules and checks that deliver four best practice guidelines in parallel, customized for each pilot site.CONCLUSIONS: The process provided a traceable, maintainable and audited digitally delivered collated and reconciled guidelines.
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12.
  • Erturkmen, Gokce B. Laleci, et al. (author)
  • A Collaborative Platform for Management of Chronic Diseases via Guideline-Driven Individualized Care Plans
  • 2019
  • In: Computational and Structural Biotechnology Journal. - : Elsevier. - 2001-0370. ; 17, s. 869-885
  • Journal article (peer-reviewed)abstract
    • Older center dot age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by dearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans. We also report the results of usability studies carried out in four pilot sites by patients and clinicians.
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13.
  • García-Lorenzo, Borja, et al. (author)
  • Assessment of the effectiveness, socio-economic impact and implementation of a digital solution for patients with advanced chronic diseases : the ADLIFE study protocol
  • 2023
  • In: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 20:4
  • Journal article (peer-reviewed)abstract
    • Due to population ageing and medical advances, people with advanced chronic diseases (ACD) live longer. Such patients are even more likely to face either temporary or permanent reduced functional reserve, which typically further increases their healthcare resource use and the burden of care on their caregiver(s). Accordingly, these patients and their caregiver(s) may benefit from integrated supportive care provided via digitally supported interventions. This approach may either maintain or improve their quality of life, increase their independence, and optimize the healthcare resource use from early stages. ADLIFE is an EU-funded project, aiming to improve the quality of life of older people with ACD by providing integrated personalized care via a digitally enabled toolbox. Indeed, the ADLIFE toolbox is a digital solution which provides patients, caregivers, and health professionals with digitally enabled, integrated, and personalized care, supporting clinical decisions, and encouraging independence and self-management. Here we present the protocol of the ADLIFE study, which is designed to provide robust scientific evidence on the assessment of the effectiveness, socio-economic, implementation, and technology acceptance aspects of the ADLIFE intervention compared to the current standard of care (SoC) when applied in real-life settings of seven different pilot sites across six countries. A quasi-experimental trial following a multicenter, non-randomized, non-concurrent, unblinded, and controlled design will be implemented. Patients in the intervention group will receive the ADLIFE intervention, while patients in the control group will receive SoC. The assessment of the ADLIFE intervention will be conducted using a mixed-methods approach.
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18.
  • von Tottleben, Malte, et al. (author)
  • An Integrated Care Platform System (C3-Cloud) for Care Planning, Decision Support, and Empowerment of Patients With Multimorbidity: Protocol for a Technology Trial
  • 2022
  • In: JMIR Research Protocols. - : JMIR Publications. - 1929-0748. ; 11:7
  • Journal article (peer-reviewed)abstract
    • Background: There is an increasing need to organize the care around the patient and not the disease, while considering the complex realities of multiple physical and psychosocial conditions, and polypharmacy. Integrated patient-centered care delivery platforms have been developed for both patients and clinicians. These platforms could provide a promising way to achieve a collaborative environment that improves the provision of integrated care for patients via enhanced information and communication technology solutions for semiautomated clinical decision support.Objective: The Collaborative Care and Cure Cloud project (C3-Cloud) has developed 2 collaborative computer platforms for patients and members of the multidisciplinary team (MDT) and deployed these in 3 different European settings. The objective of this study is to pilot test the platforms and evaluate their impact on patients with 2 or more chronic conditions (diabetes mellitus type 2, heart failure, kidney failure, depression), their informal caregivers, health care professionals, and, to some extent, health care systems.Methods: This paper describes the protocol for conducting an evaluation of user experience, acceptability, and usefulness of the platforms. For this, 2 “testing and evaluation” phases have been defined, involving multiple qualitative methods (focus groups and surveys) and advanced impact modeling (predictive modeling and cost-benefit analysis). Patients and health care professionals were identified and recruited from 3 partnering regions in Spain, Sweden, and the United Kingdom via electronic health record screening.Results: The technology trial in this 4-year funded project (2016-2020) concluded in April 2020. The pilot technology trial for evaluation phases 3 and 4 was launched in November 2019 and carried out until April 2020. Data collection for these phases is completed with promising results on platform acceptance and socioeconomic impact. We believe that the phased, iterative approach taken is useful as it involves relevant stakeholders at crucial stages in the platform development and allows for a sound user acceptance assessment of the final product.Conclusions: Patients with multiple chronic conditions often experience shortcomings in the care they receive. It is hoped that personalized care plan platforms for patients and collaboration platforms for members of MDTs can help tackle the specific challenges of clinical guideline reconciliation for patients with multimorbidity and improve the management of polypharmacy. The initial evaluative phases have indicated promising results of platform usability. Results of phases 3 and 4 were methodologically useful, yet limited due to the COVID-19 pandemic.
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19.
  • Battisti, Umberto Maria, et al. (author)
  • Ellagic Acid and Its Metabolites as Potent and Selective Allosteric Inhibitors of Liver Pyruvate Kinase
  • 2023
  • In: Nutrients. - : MDPI AG. - 2072-6643. ; 15:3
  • Journal article (peer-reviewed)abstract
    • Liver pyruvate kinase (PKL) has recently emerged as a new target for non-alcoholic fatty liver disease (NAFLD), and inhibitors of this enzyme could represent a new therapeutic option. However, this breakthrough is complicated by selectivity issues since pyruvate kinase exists in four different isoforms. In this work, we report that ellagic acid (EA) and its derivatives, present in numerous fruits and vegetables, can inhibit PKL potently and selectively. Several polyphenolic analogues of EA were synthesized and tested to identify the chemical features responsible for the desired activity. Molecular modelling studies suggested that this inhibition is related to the stabilization of the PKL inactive state. This unique inhibition mechanism could potentially herald the development of new therapeutics for NAFLD.
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20.
  • Cetin, S., et al. (author)
  • Increased coronary intervention rate among diabetic patients with poor glycaemic control: A cross-sectional study
  • 2014
  • In: Bosnian Journal of Basic Medical Sciences. - 1512-8601. ; 14:1, s. 16-20
  • Journal article (peer-reviewed)abstract
    • The relationship between glycaemic control and coronary artery disease (CAD) in type 2 diabetes mellitus (T2DM) is controversial. In the current cross-sectional study, we addressed the relationship between Hemoglobin A1c (HbAlc) values and the need for revascularization among diabetic patients undergoing coronary angiography. A total of 301 consecutive patients with known T2DM (age 61.8 +/- 10.1 years, 46.2 % women) requiring coronary angiography due to CAD symptoms were included. T2DM patients were categorized into two groups based on their HbAlc values: 93 (30.9%) diabetics with good glycaemid control (HbA1c <= 7 %), and 208 (69.1%) diabetics with poor glycaemic control (HbA1c>7 %). A total of 123 patients (40.9%) required revascularization. The revascularization rate was 28.0% among T2DM patients with good glycaemic control and 46.6% among T2DM patients with poor glycaemic control, respectively (p=0.002). In a logistic regression analysis, the need for revascularization was predicted by poor glycaemic control (Odds Ratio [OR] 2.26, 95% Confidence Interval [Cl] 1.32-3.82; p=0.003) adjusted for age, gender, Body-Mass-Index and diabetes duration. Moreover, there was a linear relationship between HbA1c values and number of affected coronary arteries (r= 0.169;p=0.003). Our data suggest that there is a close association between poor glycaemic control and increased revascularization rate in T2DM, which should be considered in primary and secondary prevention models. (c) 2014 Association of Basic Medical Sciences of FB&H. All rights reserved
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21.
  • Chen, B., et al. (author)
  • Effect of Continuous Positive Airway Pressure on Lipid Profiles in Obstructive Sleep Apnea: A Meta-Analysis
  • 2022
  • In: Journal of Clinical Medicine. - : MDPI AG. - 2077-0383. ; 11:3
  • Journal article (peer-reviewed)abstract
    • Background: Obstructive sleep apnea (OSA) is associated with dyslipidemia. However, the effects of continuous positive airway pressure (CPAP) treatment on lipid profiles are unclear. Methods: PubMed/Medline, Embase and Cochrane were searched up to July 2021. Randomized controlled trials (RCTs) of CPAP versus controls with ≥4 weeks treatment and reported pre-and post-intervention lipid profiles were included. Weighted mean difference (WMD) was used to assess the effect size. Meta-regression was used to explore the potential moderators of post-CPAP treatment changes in lipid profiles. Results: A total of 14 RCTs with 1792 subjects were included. CPAP treatment was associated with a significant decrease in total cholesterol compared to controls (WMD = −0.098 mmol/L, 95% CI = −0.169 to −0.027, p = 0.007, I2 = 0.0%). No significant changes in triglyceride, high-density lipoprotein nor low-density lipoprotein were observed after CPAP treatment (all p > 0.2). Furthermore, meta-regression models showed that age, gender, body mass index, daytime sleepiness, OSA severity, follow-up study duration, CPAP compliance nor patients with cardiometabolic disease did not moderate the effects of CPAP treatment on lipid profiles (all p > 0.05). Conclusions: CPAP treatment decreases total cholesterol at a small magnitude but has no effect on other markers of dyslipidemia in OSA patients. Future studies of CPAP therapy should target combined treatment strategies with lifestyle modifications and/or anti-hyperlipidemic medications in the primary as well as secondary cardiovascular prevention models. © 2022 by the authorsLicensee MDPI, Basel, Switzerland.
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22.
  • Chen, B. X., et al. (author)
  • Effect of Continuous Positive Airway Pressure on Weight and Local Adiposity in Adults with Obstructive Sleep Apnea A Meta-Analysis
  • 2021
  • In: Annals of the American Thoracic Society. - 1546-3222 .- 2329-6933. ; 18:10, s. 1717-1727
  • Journal article (peer-reviewed)abstract
    • Rationale: Evidence suggests that continuous positive airway pressure (CPAP) treatment promotes weight gain in patients with obstructive sleep apnea (OSA). It is unclear whether weight gain is influenced by CPAP adherence or comorbid disorders. Objectives: To examine the CPAP effects on body mass index (BMI) and local adiposity and the potential moderators of CPAP effects on BMI in patients with OSA. Methods: We searched PubMed/Medline, Embase, and Cochrane through December 2019. Randomized controlled trials of CPAP versus control treatment with >4 weeks' treatment were included. Results: A total of 39 randomized controlled trials with 6,954 subjects were included. In intention-to-treat analysis, the BMI increased significantly after CPAP treatment compared with control treatment (weighted mean difference [WMD], 0.148 kg/m(2); 95% confidence interval, 0.04-0.26; P = 0.001). In studies demonstrating an increase in the BMI, waist and neck circumferences were also significantly increased. Subgroup analyses revealed that an increased BMI was attributable to CPAP use of <5 h/night (WMD, 0.231) but was not attributable to CPAP use of.5 h/night (WMD, 0.001; between-group P value = 0.049). Furthermore, the BMI increased significantly in patients without cardiovascular disease (CVD; WMD, 0.200), whereas it decreased significantly in those with CVD at baseline (WMD, 20.188; between-group P value, 0.001). Moreover, the BMI increased significantly in patients with dysglycemia (WMD, 0.499) but did not increase in those without dysglycemia at baseline (WMD, 0.100; between-group P value = 0.032). Meta-regression confirmed the subgroup findings. Conclusions: The BMI increased significantly in patients with OSA after CPAP treatment, especially in those with CPAP use of <5 h/night, without CVD and/or with dysglycemia at baseline. CPAP use of at least 5 h/night seems to be necessary in mitigating the risk for weight gain in patients with OSA.
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23.
  • Gregson, J., et al. (author)
  • Cardiovascular Risk Factors Associated With Venous Thromboembolism
  • 2019
  • In: JAMA Cardiology. - : American Medical Association (AMA). - 0965-2590 .- 2380-6583 .- 2380-6591. ; 4:2, s. 163-173
  • Journal article (peer-reviewed)abstract
    • IMPORTANCE It is uncertain to what extent established cardiovascular risk factors are associated with venous thromboembolism (VTE). OBJECTIVE To estimate the associations of major cardiovascular risk factors with VTE, ie, deep vein thrombosis and pulmonary embolism. DESIGN, SETTING, AND PARTICIPANTS This study included individual participant data mostly from essentially population-based cohort studies from the Emerging Risk Factors Collaboration (ERFC; 731728 participants; 75 cohorts; years of baseline surveys, February 1960 to June 2008; latest date of follow-up, December 2015) and the UK Biobank (421537 participants; years of baseline surveys, March 2006 to September 2010; latest date of follow-up, February 2016). Participants without cardiovascular disease at baseline were included. Data were analyzed from June 2017 to September 2018. MAIN OUTCOMES AND MEASURES Hazard ratios (HRs) per 1-SD higher usual risk factor levels (or presence/absence). Incident fatal outcomes in ERFC (VTE, 1041; coronary heart disease [CND], 25131) and incident fatal/nonfatal outcomes in UK Biobank (VTE, 2321; CHD, 3385). Hazard ratios were adjusted for age, sex, smoking status, diabetes, and body mass index (BMI). RESULTS Of the 731728 participants from the ERFC. 403 396 (55.1%) were female, and the mean (SD) age at the time of the survey was 51.9 (9.0) years; of the 421537 participants from the UK Biobank, 233 699 (55.4%) were female, and the mean (SD) age at the time of the survey was 56.4 (8.1) years. Risk factors for VTE included older age (ERFC: HR per decade, 2.67; 95% CI, 2.45-2.91; UK Biobank: HR, 1.81; 95% CI, 1.71-1.92), current smoking (ERFC: HR, 1.38; 95% CI, 1.20-1.58; UK Biobank: HR, 1.23; 95% CI, 1.08-1.40), and BMI (ERFC: HR per 1-SD higher BMI, 1.43; 95% CI, 1.35-1.50; UK Biobank: HR, 1.37; 95% CI, 1.32-1.41). For these factors, there were similar HRs for pulmonary embolism and deep vein thrombosis in UK Biobank (except adiposity was more strongly associated with pulmonary embolism) and similar HRs for unprovoked vs provoked VTE. Apart from adiposity, these risk factors were less strongly associated with VTE than CHD. There were inconsistent associations of VTEs with diabetes and blood pressure across ERFC and UK Biobank, and there was limited ability to study lipid and inflammation markers. CONCLUSIONS AND RELEVANCE Older age, smoking, and adiposity were consistently associated with higher VTE risk.
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24.
  • Laleci Erturkmen, Gokce Banu, et al. (author)
  • Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services
  • 2018
  • In: International Journal of Integrated Care. - : University of Utrecht. - 1568-4156. ; 18:132, s. A132-A132
  • Journal article (peer-reviewed)abstract
    • Introduction: The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. C3-Cloud project aims to build an integrated care platform for addressing the growing demand for improved health outcomes of multimorbid and long-term care patients. Theory/Methods: C3-Cloud has established an ICT infrastructure enabling continuous coordination of patient-centred care activities by a multidisciplinary care team MDT and patients/informal care givers. The Coordinated Care and Cure Delivery Platform C3DP allows, collaborative creation and execution of personalised care plans for multi-morbid patients through systematic and semi-automatic reconciliation of clinical guidelines. Clinical decision support CDS systems implementing flowcharts from evidence based clinical guidelines are integrated to present suggestions for treatment goal and activities e.g. medications, follow-up appointments, diet, exercise, lab tests. Pilot site local care systems are integrated with the C3DP via the technical and semantic interoperability platform to facilitate informed decision making. Active patient involvement is realized through a Patient Empowerment Platform presenting personalized care plan to the patient and establishing a continuous bi-way communication with the patient to collect patient observations, questionnaire responses, symptoms and feedback about care plan goals and activities.Results: The following research results have been achieved to enable guideline enabled personalised care plan management for addressing the needs of multi-morbidity:43 logical flowcharts were designed out of 4 disease guidelines Type 2 Diabetes, Heart Failure, Renal Failure and Depression.181 CDS rules assessing 166 patient criteria and recommending 154 goal/activity suggestions were implemented as CDS services in GDL covering T2D and RF.52 reconciliation rules were designed for eliminating contradicting guideline recommendations due to multi-morbidity.23 HL7 FHIR profiles were defined for representing care plan and patient data.C3DP has been integrated with these CDS services via CDS-Hooks specification to recommend personalised care plan goals and activities.Discussions: In this research, we have successfully implemented an ICT infrastructure enabling guideline-driven integrated care for multi-morbid patients. Although our ICT solution covers all the technical requirements identified by clinical partners, effective implementation of integrated care in real-life care setting requires major changes in organisational responsibilities and care pathways.Conclusions: User-centred design and usability testing have successfully been completed. C3-Cloud pilot application will now be operated in 3 European pilot sites with the participation of 62 MDT members and 1200 multi-morbid patients for 15 months.  Lessons learned: There are two main research lines for reconciliation of contradicting guideline recommendations: 1 fully-automated reconciliation via ontology reasoning, 2 manually-crafted reconciliation rules by clinical expert groups. Although first approach is more dynamic, research results are still for very primitive cases and not clinically validated. As we are targeting an industry-ready solution after piloting in real-life settings, we have opted for the second option.Limitations: When a new chronic disease is to be addressed within our platform, reconciliation rules covering all disease combinations have to be re-assessed by the clinical expert group.Suggestions for future research: Fully-automated reconciliation approaches need to be further studied and validated in real-life settings. 
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25.
  • Laleci Erturkmen, Gokce Banu, et al. (author)
  • Personalised Care Plan Management Utilizing Guideline-Driven Clinical Decision Support Systems
  • 2018
  • In: Studies in Health Technology and Informatics. - : European Federation for Medical Informatics (EFMI) and IOS Press. - 0926-9630 .- 1879-8365. ; 247, s. 750-754
  • Journal article (peer-reviewed)abstract
    • Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans.
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26.
  • Markt, Sarah C., et al. (author)
  • ABO Blood Group Alleles and Prostate Cancer Risk : results from the Breast and Prostate Cancer Cohort Consortium (BPC3)
  • 2015
  • In: The Prostate. - : John Wiley & Sons. - 0270-4137 .- 1097-0045. ; 75:15, s. 1677-1681
  • Journal article (peer-reviewed)abstract
    • BACKGROUND. ABO blood group has been associated with risk of cancers of the pancreas, stomach, ovary, kidney, and skin, but has not been evaluated in relation to risk of aggressive prostate cancer. METHODS. We used three single nucleotide polymorphisms (SNPs) (rs8176746, rs505922, and rs8176704) to determine ABO genotype in 2,774 aggressive prostate cancer cases and 4,443 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). Unconditional logistic regression was used to calculate age and study-adjusted odds ratios and 95% confidence intervals for the association between blood type, genotype, and risk of aggressive prostate cancer (Gleason score >= 8 or locally advanced/metastatic disease (stage T3/T4/N1/M1). RESULTS. We found no association between ABO blood type and risk of aggressive prostate cancer (Type A: OR = 0.97, 95% CI = 0.87-1.08; Type B: OR = 0.92, 95% CI = n0.77-1.09; Type AB: OR = 1.25, 95% CI = 0.98-1.59, compared to Type O, respectively). Similarly, there was no association between "dose" of A or B alleles and aggressive prostate cancer risk. CONCLUSIONS. ABO blood type was not associated with risk of aggressive prostate cancer. Prostate 75: 1677-1681, 2015. (C) 2015 Wiley Periodicals, Inc.
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27.
  • Peker, Yüksel, 1961, et al. (author)
  • Reliability of the Turkish version of the European Obstructive Sleep Apnea Screening (EUROSAS) questionnaire for drivers
  • 2021
  • In: Sleep and Breathing. - : Springer Science and Business Media LLC. - 1520-9512 .- 1522-1709. ; 25:2, s. 907-913
  • Journal article (peer-reviewed)abstract
    • Purpose The European Union Driver License Committee recently developed a questionnaire as a screening tool for obstructive sleep apnea (OSA) named the European Obstructive Sleep Apnea Screening (EUROSAS) questionnaire for drivers. We sought to address the reliability of the Turkish version of this questionnaire. Methods The EUROSAS was translated into Turkish. Using a "test-retest approach", data were collected twice with a 15-day interval among 150 participants (50 professional male drivers [PMD], 50 non-professional male drivers [NPMD], and 50 non-professional female drivers [NPFD]). The EUROSAS score ranges between 2 and 25, with scores >= 10 suggesting the presence of OSA. Results The median EUROSAS scores in the first test were 8.0 (interquartile range [IQR] 6.8-12.0) in PMD, 8.0 (IQR 6.0-11.0) in NPMD, and 5.0 (IQR 4.0-8.0) in NPFD (p< 0.001). Corresponding values in the retest were 9.5 (IQR 7.0-13.0), 8.0 (IQR 6.0-10.0), and 5.0 (IQR 4.0-8.0), respectively (p< 0.001). The EUROSAS score >= 10 was found among 34% in the first test and 50% in the retest in PMD (ns), 34% vs 24% in NPMD (ns), and 8% vs 16% in NPFD (ns). There was a positive correlation between the tests (r= 0.864,p< 0.001), and Cronbach's alpha value for the whole group was 0.477 (0.514 for PMD, 0.512 for NPMD, and 0.543 NPFD, respectively). Conclusions The EUROSAS-Turkish version is easy to understand and is reproducible. However, the test-retest reliability level is poor among the Turkish drivers. Further validation of the questionnaire by objective sleep studies and fitness-to-drive testing is necessary.
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30.
  • Traore, Lamine, et al. (author)
  • User-Centered Design of the C3-Cloud Platform for Elderly with Multiple Diseases : Functional Requirements and Application Testing
  • 2019
  • In: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781643680026 - 9781643680033 ; 264, s. 843-847
  • Journal article (peer-reviewed)abstract
    • The number of patients with multimorbidity has been steadily increasing in the modern aging societies. The European C3-Cloud project provides a multidisciplinary and patient-centered “Collaborative Care and Cure-system” in the management of elderly with multimorbidity, enabling continous coordination of care activities between multidisciplinary care teams (MDTs), patients and informal care givers (ICG). In this paper, we report how various components of the infrastructure were tested to fulfill the functional requirements and how the entire system was subjected to an early application testing involving different groups of end-users. MDTs from participating European regions were involved in requirement elicitation and test formulation, resulting in 57 questions, distributed via an internet platform, to 48 test participants (22 MDTs, 26 patients) from three pilot sites. The results indicate an overall high level of satisfaction for all Information and Communication Technologie (ICT) components among the users. The early testing also provided user feedback important to consider for technical improvement of the entire system. 
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31.
  • Zinchuk, A. V., et al. (author)
  • Physiological Traits and Adherence to Sleep Apnea Therapy in Individuals with Coronary Artery Disease
  • 2021
  • In: American Journal of Respiratory and Critical Care Medicine. - 1073-449X. ; 204:6, s. 703-712
  • Journal article (peer-reviewed)abstract
    • Rationale: Untreated obstructive sleep apnea (OSA) is associated with adverse outcomes in patients with coronary artery disease (CAD). Continuous positive airway pressure (CPAP) is the most common treatment, but despite interventions addressing established adherence determinants, CPAP use remains poor. Objectives: To determine whether physiological traits that cause OSA are associated with long-termCPAP adherence in patients with CAD. Methods: Participants in the RICCADSA (Randomized Intervention with CPAP in CAD and OSA) trial with objective CPAP adherence (h/night) over 2 years and analyzable raw polysomnography data were included (N= 249). The physiological traits-loop gain, arousal threshold (ArTH), pharyngeal collapsibility (<(V)over dot> passive), and pharyngeal muscle compensation (<(V)over dot>comp)-were measured by using polysomnography. Linear mixed models were used to assess the relationship between the traits and adherence. We also compared actual CPAP adherence between those with physiologically predicted "poor" adherence (lowest quartile of predicted adherence) and those with physiologically predicted "good" adherence (all others). Measurements and Main Results: The median (interquartile range) CPAP use declined from 3.2 (1.0-5.8) h/night to 3.0 (0.0-5.6) h/night over 24 months (P, 0.001). In analyses adjusted for demographics, anthropometrics, OSA characteristics, and clinical comorbidities, a lower ArTH was associated with worse CPAP adherence (0.7 h/SD of the ArTH; P = 0.021). Both high and low <(V)over dot> comp were associated with lower adherence (P = 0.008). Those with predicted poor adherence exhibited markedly lower CPAP use than those with predicted good adherence for up to 2 years of follow-up (group differences of 2.0-3.2 h/night; P, 0.003 for all). Conclusions: A low ArTH, as well as a very low and high <(V)over dot> comp, are associated with worse long-term CPAP adherence in patients with CAD and OSA. Physiological traits-alongside established determinants-may help predict and improve CPAP adherence.
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