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Introduction: High convection volumes in hemodiafiltration (HDF) result in improved survival; however, it remains unclear whether it is achievable in all patients. Methods: CONVINCE, a randomized controlled trial, randomized patients with end-stage kidney disease 1:1 to high-dose HDF versus high-flux hemodialysis (HD) continuation. We evaluated the proportion of patients achieving high-dose HDF target: convection volume per visit of ≥23 l (range ±1 l) at baseline, month 3, and month 6. We compared baseline characteristics in the following 2 ways: (i) patients on target for all 3 visits versus patients who missed target on ≥1 visits and (ii) patients on target for all 3 visits or missing it once versus patients who missed target on ≥2 visits. Results: A total of 653 patients were randomized to HDF. Their mean age was 62.2 (SD 13.5) years, 36% were female, 81% had fistula vascular access, and 33% had diabetes. Across the 3 visits, 75 patients (11%), 27 patients (4%), and 11 patients (2%) missed the convection volume target once, twice, and thrice, respectively. Apart from diabetes, there were no apparent differences in patient characteristics between patients who always achieved the high-dose target (83%) and those who missed the target either once or more (17%) or twice or more (6%). Conclusion: Achieving high-dose HDF is feasible for nearly all patients in CONVINCE and could be maintained during the 6-month follow-up period. Apart from diabetes, there were no other indications for confounding by indication on multivariable analyses that may explain the potential survival advantage for patients receiving high-dose HDF.
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BACKGROUND: In patients with stable coronary artery disease (CAD), revascularisation decisions are based mainly on the visual grading of the severity of coronary stenosis on invasive coronary angiography (ICA). However, invasive fractional flow reserve (FFR) is the current standard to determine the haemodynamic significance of coronary stenosis. Non-invasive and less-invasive imaging techniques such as computed-tomography-derived FFR (FFR-CT) and angiography-derived FFR (QFR) combine both anatomical and functional information in complex algorithms to calculate FFR. TRIAL DESIGN: The iCORONARY trial is a prospective, multicentre, non-inferiority randomised controlled trial (RCT) with a blinded endpoint evaluation. It investigates the costs, effects and outcomes of different diagnostic strategies to evaluate the presence of CAD and the need for revascularisation in patients with stable angina pectoris who undergo coronary computed tomography angiography. Those with a Coronary Artery Disease-Reporting and Data System (CAD-RADS) score between 0-2 and 5 will be included in a prospective registry, whereas patients with CAD-RADS 3 or 4A will be enrolled in the RCT. The RCT consists of three randomised groups: (1) FFR-CT-guided strategy, (2) QFR-guided strategy or (3) standard of care including ICA and invasive pressure measurements for all intermediate stenoses. The primary endpoint will be the occurrence of major adverse cardiac events (death, myocardial infarction and repeat revascularisation) at 1 year. CLINICALTRIALS: gov-identifier: NCT04939207. CONCLUSION: The iCORONARY trial will assess whether a strategy of FFR-CT or QFR is non-inferior to invasive angiography to guide the need for revascularisation in patients with stable CAD. Non-inferiority to the standard of care implies that these techniques are attractive, less-invasive alternatives to current diagnostic pathways.
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INTRODUCTION: In the past decade, the atrial fibrillation (AF) landscape, including the treatment modalities, has drastically changed. This raises the question how AF prevalence and choices in antithrombotic therapy prescription have developed in the community over time. METHODS: Routine care data from the Julius General Practitioners' Network (JGPN) were used to calculate the yearly prevalence of AF and to quantify the percentage of all patients who were prescribed a platelet inhibitor, vitamin K antagonist (VKA), non-VKA oral anticoagulant (NOAC) or no antithrombotic medication. To explore whether certain patient characteristics are associated with selective prescription of oral anticoagulants (OAC), we applied logistic regression analyses. RESULTS: From 2008 through 2017, the JGPN database included 7459 unique AF patients. During this period, the prevalence of AF increased from 0.4% to 1.4%. The percentage of patients prescribed a VKA declined from 47% to 41%, whereas the percentage of patients prescribed a NOAC rose from 0% to 20%. In patients with new-onset AF, older age, heart failure, diabetes mellitus, vascular disease and dementia were independently associated with a higher likelihood of VKA rather than NOAC prescription. In 2017, 25% of all patients with AF and a CHA2DS2-VASc score ≥â¯2 were not prescribed OAC therapy (i.e. 8% with platelet inhibitor monotherapy and 17% without any antithrombotic therapy). CONCLUSION: Between 2008 and 2017, AF prevalence in the community more than tripled. Prescription patterns showed possible 'channelling' of VKAs over NOACs in frailer, elderly patients, whereas still about one in every four AF patients with a CHA2DS2-VASc score ≥â¯2 was not prescribed any prophylactic OAC therapy.
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OBJECTIVES: Missing data is a common problem during the development, evaluation, and implementation of prediction models. Although machine learning (ML) methods are often said to be capable of circumventing missing data, it is unclear how these methods are used in medical research. We aim to find out if and how well prediction model studies using machine learning report on their handling of missing data. STUDY DESIGN AND SETTING: We systematically searched the literature on published papers between 2018 and 2019 about primary studies developing and/or validating clinical prediction models using any supervised ML methodology across medical fields. From the retrieved studies information about the amount and nature (e.g. missing completely at random, potential reasons for missingness) of missing data and the way they were handled were extracted. RESULTS: We identified 152 machine learning-based clinical prediction model studies. A substantial amount of these 152 papers did not report anything on missing data (n = 56/152). A majority (n = 96/152) reported details on the handling of missing data (e.g., methods used), though many of these (n = 46/96) did not report the amount of the missingness in the data. In these 96 papers the authors only sometimes reported possible reasons for missingness (n = 7/96) and information about missing data mechanisms (n = 8/96). The most common approach for handling missing data was deletion (n = 65/96), mostly via complete-case analysis (CCA) (n = 43/96). Very few studies used multiple imputation (n = 8/96) or built-in mechanisms such as surrogate splits (n = 7/96) that directly address missing data during the development, validation, or implementation of the prediction model. CONCLUSION: Though missing values are highly common in any type of medical research and certainly in the research based on routine healthcare data, a majority of the prediction model studies using machine learning does not report sufficient information on the presence and handling of missing data. Strategies in which patient data are simply omitted are unfortunately the most often used methods, even though it is generally advised against and well known that it likely causes bias and loss of analytical power in prediction model development and in the predictive accuracy estimates. Prediction model researchers should be much more aware of alternative methodologies to address missing data.
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Machine Learning , Models, Statistical , Bias , Data Interpretation, Statistical , Humans , PrognosisABSTRACT
AIMS: To determine the (cost)-effectiveness of blood pressure lowering, lipid-lowering, and antithrombotic therapy guided by predicted lifetime benefit compared to risk factor levels in patients with symptomatic atherosclerotic disease. METHODS AND RESULTS: For all patients with symptomatic atherosclerotic disease in the UCC-SMART cohort (1996-2018; n = 7697) two treatment strategies were compared. The lifetime benefit-guided strategy was based on individual estimation of gain in cardiovascular disease (CVD)-free life with the SMART-REACH model. In the risk factor-based strategy, all patients were treated the following: low-density lipoprotein cholesterol (LDL-c) < 1.8 mmol/L, systolic blood pressure <140 mmHg, and antithrombotic medication. Outcomes were evaluated for the total cohort using a microsimulation model. Effectiveness was evaluated as total gain in CVD-free life and events avoided, cost-effectiveness as incremental cost-effectivity ratio (ICER). In comparison to baseline treatment, treatment according to lifetime benefit would lead to an increase of 24â243 CVD-free life years [95% confidence interval (CI) 19â980-29â909] and would avoid 940 (95% CI 742-1140) events in the next 10 years. For risk-factor based treatment, this would be an increase of 18â564 CVD-free life years (95% CI 14â225-20â456) and decrease of 857 (95% CI 661-1057) events. The ICER of lifetime benefit-based treatment with a treatment threshold of ≥1 year additional CVD-free life per therapy was 15â092/QALY gained and of risk factor-based treatment 9933/QALY gained. In a direct comparison, lifetime benefit-based treatment compared to risk factor-based treatment results in 1871 additional QALYs for the price of 36â538/QALY gained. CONCLUSION: Residual risk reduction guided by lifetime benefit estimation results in more CVD-free life years and more CVD events avoided compared to the conventional risk factor-based strategy. Lifetime benefit-based treatment is an effective and potentially cost-effective strategy for reducing residual CVD risk in patients with clinical manifest vascular disease.
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Cardiovascular Diseases , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Cost-Benefit Analysis , Heart Disease Risk Factors , Humans , Quality-Adjusted Life Years , Risk FactorsABSTRACT
BACKGROUND: Recommendations for screening patients with lower-extremity arterial disease (LEAD) to detect asymptomatic carotid stenosis (ACS) are conflicting. Prediction models might identify patients at high risk of ACS, possibly allowing targeted screening to improve preventive therapy and compliance. METHODS: A systematic search for prediction models for at least 50 per cent ACS in patients with LEAD was conducted. A prediction model in screened patients from the USA with an ankle : brachial pressure index of 0.9 or less was subsequently developed, and assessed for discrimination and calibration. External validation was performed in two independent cohorts, from the UK and the Netherlands. RESULTS: After screening 4907 studies, no previously published prediction models were found. For development of a new model, data for 112 117 patients were used, of whom 6354 (5.7 per cent) had at least 50 per cent ACS and 2801 (2.5 per cent) had at least 70 per cent ACS. Age, sex, smoking status, history of hypercholesterolaemia, stroke/transient ischaemic attack, coronary heart disease and measured systolic BP were predictors of ACS. The model discrimination had an area under the receiver operating characteristic (AUROC) curve of 0.71 (95 per cent c.i. 0.71 to 0.72) for at least 50 per cent ACS and 0.73 (0.72 to 0.73) for at least 70 per cent ACS. Screening the 20 per cent of patients at greatest risk detected 12.4 per cent with at least 50 per cent ACS (number needed to screen (NNS) 8] and 5.8 per cent with at least 70 per cent ACS (NNS 17). This yielded 44.2 and 46.9 per cent of patients with at least 50 and 70 per cent ACS respectively. External validation showed reliable discrimination and adequate calibration. CONCLUSION: The present risk score can predict significant ACS in patients with LEAD. This approach may inform targeted screening of high-risk individuals to enhance the detection of ACS.
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Asymptomatic Diseases , Carotid Stenosis/diagnosis , Chronic Limb-Threatening Ischemia/diagnosis , Lower Extremity/blood supply , Mass Screening/methods , Carotid Stenosis/complications , Chronic Limb-Threatening Ischemia/complications , Humans , Patient Compliance , Risk FactorsABSTRACT
BACKGROUND AND AIMS: Pharmacological lowering of inflammation has proven effective in reducing recurrent cardiovascular event rates. Aim of the current study is to evaluate lifestyle changes (smoking cessation, weight loss, physical activity level increase, alcohol moderation, and a summary lifestyle improvement score) in relation to change in plasma C-reactive protein (CRP) concentration in patients with established cardiovascular disease. METHODS: In total, 1794 patients from the UCC-SMART cohort with stable cardiovascular disease and CRP levels ≤10 mg/L, who returned for a follow-up study visit after median 9.9 years (IQR 5.4-10.8), were included. The relation between changes in smoking status, weight, physical activity, alcohol consumption, a summary lifestyle improvement score and change in plasma CRP concentration was evaluated with linear regression analyses. RESULTS: Smoking cessation was related to a 0.40 mg/L decline in CRP concentration (ß-coefficient -0.40; 95%CI -0.73,-0.07). Weight loss (per 1SD = 6.4 kg) and increase in physical activity (per 1 SD = 48 MET hours per week) were related to a decrease in CRP concentration (ß-coefficients -0.25; 95%CI -0.33,-0.16 and -0.09; 95%CI -0.17,-0.01 per SD). Change in alcohol consumption was not related to CRP difference. Every point higher in the summary lifestyle improvement score was related to a decrease in CRP concentration of 0.17 mg/L (ß-coefficient -0.17; 95%CI -0.26,-0.07). CONCLUSIONS: Smoking cessation, increase in physical activity, and weight loss are related to a decrease in CRP concentration in patients with stable cardiovascular disease. Patients with the highest summary lifestyle improvement score have the most decrease in CRP concentration. These results may indicate that healthy lifestyle changes contribute to lowering systemic inflammation, potentially leading to a lower cardiovascular risk in patients with established cardiovascular disease.
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Cardiovascular Diseases , C-Reactive Protein/analysis , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Follow-Up Studies , Healthy Lifestyle , Humans , Inflammation , Risk FactorsABSTRACT
BACKGROUND: To assess the trend in age- and sex-stratified mortality after hospitalization for heart failure (HF) in the Netherlands. METHODS: Two nationwide cohorts of patients, hospitalized for new onset heart failure between 01.01.2000-31.12.2002 and between 01.01.2008-31.12.2010, were constructed by linkage of the Dutch Hospital Discharge Registry and the National Cause of Death registry. 30-day, 1-year and 5 -year overall and cause-specific mortality rates stratified by age and sex were assessed and compared over time. RESULTS: We identified 40,230 men and 41,582 women. In both cohorts, men were on average younger than women (74-75 and 78-79 years, respectively) and more often had comorbid conditions (37 and 30%, respectively). In the 2008-10 cohort, mortality rates for men were 13, 32 and 64% for respectively 30-day, 1-year and 5-year mortality and 14, 33 and 66% for women. Mortality rates increased considerably with age similarly in men and women (e.g. from 10.5% in women aged 25-54 to 46.1% in those aged 85 and older after 1 year). Between the two time periods, mortality rates dropped across all ages, equally strong in women as in men. The 1-year absolute risk of death declined by 4.0% (from 36.1 to 32.1%) in men and 3.2% (from 36.2 to 33.0%) in women. CONCLUSIONS: Mortality after hospitalization for new onset HF remains high, however, both short-term and long-term survival is improving over time. This improvement was similar across all ages and equally strong in women as in men.
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Heart Failure/mortality , Hospitalization/statistics & numerical data , Adult , Age Distribution , Aged , Aged, 80 and over , Cohort Studies , Female , Heart Failure/therapy , Humans , Male , Middle Aged , Mortality/trends , Netherlands/epidemiology , Sex DistributionABSTRACT
PURPOSE: We set out to develop a real-time computerised decision support system (CDSS) embedded in the electronic health record (EHR) with information on risk factors, estimated risk, and guideline-based advice on treatment strategy in order to improve adherence to cardiovascular risk management (CVRM) guidelines with the ultimate aim of improving patient healthcare. METHODS: We defined a project plan including the scope and requirements, infrastructure and interface, data quality and study population, validation and evaluation of the CDSS. RESULTS: In collaboration with clinicians, data scientists, epidemiologists, ICT architects, and user experience and interface designers we developed a CDSS that provides 'live' information on CVRM within the environment of the EHR. The CDSS provides information on cardiovascular risk factors (age, sex, medical and family history, smoking, blood pressure, lipids, kidney function, and glucose intolerance measurements), estimated 10-year cardiovascular risk, guideline-compliant suggestions for both pharmacological and non-pharmacological treatment to optimise risk factors, and an estimate on the change in 10-year risk of cardiovascular disease if treatment goals are adhered to. Our pilot study identified a number of issues that needed to be addressed, such as missing data, rules and regulations, privacy, and patient participation. CONCLUSION: Development of a CDSS is complex and requires a multidisciplinary approach. We identified opportunities and challenges in our project developing a CDSS aimed at improving adherence to CVRM guidelines. The regulatory environment, including guidance on scientific evaluation, legislation, and privacy issues needs to evolve within this emerging field of eHealth.
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Adherence to cardiovascular preventive agents is important to prevent short and long term cardiovascular events. Recently, qualitatively compound screening using liquid chromatography-tandem mass spectrometry (LC-MS/MS) has gained interest for drug adherence assessment in patients at high risk of cardiovascular events. Therefore, we developed and tested an assay including 52 compounds and metabolites, covering over 95% of the antihypertensive and antithrombotic agents available worldwide. Trichloroacetic acid was used as simple and fast method for protein precipitation. The assay was validated for lower limit of quantification (LLOQ), linearity, stability for freeze/thaw, room temperature, autosampler and matrix effects. The LLOQ for each compound was targeted under the population trough concentration (PTC) as reported in literature to assure high sensitivity for adherence detection. This was accomplished for 50 of 52 compounds with a LLOQ equal or lower compared to the PTC. Linearity was confirmed for all compounds (r2â¯>â¯0.995), except for acetylsalicylic acid (r2â¯=â¯0.991). For room temperature stability, 12 compounds showed degradation over 20% after 20â¯h. 3 compounds suffer from matrix effect with recoveriesâ¯<â¯50%. After analytical validation, blood samples from 91 patients with difficult-to-treat hypertension were analyzed. Patients were unaware of adherence assessment. Adherence varied largely per agent and per concentration ratio (CR) (ratio of the detected concentration with LC-MS/MS and the PTC) cut-off value. Additionally, stratification by adherence group showed that the percentage of patients classified as non-adherent increased from 6.6% for qualitative analysis (pos/neg) to 19.8% for a CR cut-off of 0.5. The data imply that using the CR cut off values has a significant and relevant effect on patient adherence classification.
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Antihypertensive Agents/blood , Antihypertensive Agents/pharmacokinetics , Chromatography, High Pressure Liquid/methods , Drug Monitoring/methods , Tandem Mass Spectrometry/methods , Antihypertensive Agents/chemistry , Humans , Hypertension/drug therapy , Limit of Detection , Linear Models , Medication Adherence , Reproducibility of ResultsABSTRACT
AIM: To quantify the risk of different non-invasive arterial stiffness measurements with macrovascular disease and all-cause mortality in high-risk people with Type 2 diabetes. METHODS: We conducted a prospective cohort study of 1910 people with Type 2 diabetes included in the Second Manifestations of ARTerial disease (SMART) study. Arterial stiffness was assessed by brachial artery pulse pressure, normal range (≥0.9) ankle-brachial index and carotid artery distension. Cox regression was used to evaluate the effects of arterial stiffness on risk of cardiovascular events (composite of myocardial infarction, stroke and vascular mortality) and all-cause mortality. RESULTS: A total of 380 new cardiovascular events and 436 deaths occurred during a median (interquartile range) follow-up of 7.5 (4.1-11.0) years. A 10-mmHg higher brachial pulse pressure was related to higher hazard of cardiovascular events (hazard ratio 1.09, 95% CI 1.02 to 1.16) and all-cause mortality (hazard ratio 1.10, 95% CI 1.03 to 1.16). A 0.1-point lower ankle-brachial index within the normal range was related to a higher hazard of cardiovascular events (hazard ratio 1.13, 95% CI 1.01 to 1.27) and all-cause mortality (hazard ratio 1.17, 95% CI 1.04 to 1.31). A one-unit (10-3 ×kPa-1 ) lower carotid artery distensibility coefficient was related to a higher hazard of vascular mortality (hazard ratio 1.04, 95% CI 1.00 to 1.09) and all-cause mortality (hazard ratio 1.04, 95% CI 1.00 to 1.07). CONCLUSION: Increased arterial stiffness, as measured by either increased pulse pressure, normal-range ankle-brachial index or carotid artery distensibility coefficient, is related to increased hazard of cardiovascular events and all-cause mortality in people with Type 2 diabetes.
Subject(s)
Cardiovascular Diseases/etiology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/mortality , Diabetes Mellitus, Type 2/physiopathology , Vascular Stiffness/physiology , Adolescent , Adult , Aged , Ankle Brachial Index , Blood Pressure , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/mortality , Carotid Arteries/diagnostic imaging , Carotid Arteries/physiopathology , Cause of Death , Cohort Studies , Diabetes Mellitus, Type 2/diagnosis , Diabetic Angiopathies/diagnosis , Diabetic Angiopathies/etiology , Diabetic Angiopathies/mortality , Female , Femoral Artery/diagnostic imaging , Femoral Artery/physiopathology , Humans , Male , Middle Aged , Prospective Studies , Pulse Wave Analysis , Risk Factors , Young AdultABSTRACT
BACKGROUND: Maximal conservative management (MCM) may be an appropriate alternative option for dialysis in some elderly patients with end-stage kidney disease (ESKD). Evidence about the impact of dialysis or MCM on quality of life (QoL) in older patients is sparse. In the GOLD (Geriatric assessment in OLder patients starting Dialysis) Study the trajectory of QoL was assessed in patients starting dialysis or MCM. METHODS: Patients ≥65 years old were included just prior to dialysis initiation or after decision for MCM. Baseline data included demographics, frailty as measured with a geriatric assessment, comorbidity (CIRS-G) and QoL, measured with the EQ-5D-3 L (EQ-5D Index and overall self-rated health). Six months follow-up data included QoL, hospitalizations and mortality. Change of QoL was assed with paired t-tests. Cox-regression was used to assess survival of MCM and dialysis patients. RESULTS: The cohort comprised 192 dialysis and 89 MCM patients. The MCM patients were older (mean age 82 ± 6 vs. 75 ± 7 years, p < 0.01) and mean kidney function was better (eGFR 11.5 ± 4.0 vs. 8.0 ± 2.9 ml/min/1.73m2, p < 0.01). Baseline QoL did not differ significantly between the groups. After six months, EQ-5D Index did not improve significantly in the dialysis group with mean ± standard error (SE) 0.026 ± 0.014 (p = 0.10; not clinically relevant), but a small but clinically relevant decline was seen in the conservative group: 0.047 ± 0.022 (p < 0.01; between group difference p < 0.01). Hospitalization occurred in 50% of dialysis patients vs. 24% of conservative patients (p < 0.01). In patients over 80 years old, no survival benefit could be found for dialysis patients starting dialysis vs. MCM. CONCLUSION: A small decline of QoL was found for conservative patients, while QoL did not change in dialysis patients. However, hospitalization rate was higher in patients starting dialysis. In patients over 80 years, no survival benefit was found.
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Conservative Treatment , Kidney Failure, Chronic/therapy , Quality of Life , Renal Dialysis , Aged , Aged, 80 and over , Comorbidity , Conservative Treatment/adverse effects , Conservative Treatment/methods , Conservative Treatment/psychology , Diagnostic Self Evaluation , Female , Geriatric Assessment/methods , Hospitalization/statistics & numerical data , Humans , Kidney Failure, Chronic/mortality , Longitudinal Studies , Male , Netherlands/epidemiology , Patient Selection , Renal Dialysis/adverse effects , Renal Dialysis/methods , Renal Dialysis/psychology , Risk Assessment/statistics & numerical data , Survival AnalysisABSTRACT
Atherosclerotic changes can be measured as changes in common carotid intima media thickness (CIMT). It is hypothesised that repeated infection-associated inflammatory responses in childhood contribute to the atherosclerotic process. We set out to determine whether the frequency of infectious diseases in childhood is associated with CIMT in adolescence. The study is part of the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) population-based birth cohort. At age 16 years, common CIMT was measured. We collected general practitioner (GP) diagnosed infections and prescribed antibiotics. Parent-reported infections were retrieved from annual questionnaires. Linear regression analysis assessed the association between number of infections during the first 4 years of life and common CIMT. Common CIMT measurement, GP and questionnaire data were available for 221 participants. No association was observed between the infection measures and CIMT. In a subgroup analysis, significant positive associations with CIMT were observed in participants with low parental education for 2-3 or ⩾7 GP diagnosed infections (+26.4 µm, 95% CI 0.4-52.4 and +26.8 µm, 95% CI 3.6-49.9, respectively) and ⩾3 antibiotic prescriptions (+35.5 µm, 95%CI 15.8-55.3). Overall, early childhood infections were not associated with common CIMT in adolescence. However, a higher number of childhood infections might contribute to the inflammatory process of atherosclerosis in subgroups with low education, this needs to be confirmed in future studies.
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BACKGROUND AND AIM: Osteopontin (OPN), osteonectin (ON) and osteocalcin (OC) play an important role in the development of vascular calcifications, but it is unclear whether these bone metabolism regulators contribute to the development of arterial stiffness in type 2 diabetes patients. We therefore aim to determine the relationship between plasma concentrations of OPN, ON, OC and arterial stiffness in type 2 diabetes patients. METHODS: Cross-sectional study of 1003 type 2 diabetes patients included in the Second Manifestations of ARTerial disease (SMART)-cohort. Generalized linear models were used to evaluate the relation between plasma levels of OPN, ON and OC and arterial stiffness as measured by pulse pressure (PP), ankle-brachial index (ABI) (≥0.9), carotid artery distension and an arterial stiffness summary score. Analyses were adjusted for age, sex, kidney function, diabetes duration and diastolic blood pressure. Higher OPN plasma levels were significantly related to a lower ABI (ß-0.013; 95%CI -0.024 to -0.002) and a higher arterial stiffness summary score (OR1.24; 95%CI 1.03-1.49). OPN levels were not related to PP (ß 0.59; 95%CI -0.63-1.81) or absolute carotid artery distention (ß -7.03; 95%CI -20.00-5.93). ON and OC plasma levels were not related to any of the arterial stiffness measures. CONCLUSION: Only elevated plasma levels of OPN are associated with increased arterial stiffness in patients with type 2 diabetes as measured by the ankle-brachial index and arterial stiffness summary score. These findings indicate that OPN may be involved in the pathophysiology of arterial stiffness and call for further clinical investigation.
Subject(s)
Bone Remodeling , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/physiopathology , Osteopontin/blood , Vascular Stiffness , Adolescent , Adult , Aged , Ankle Brachial Index , Biomarkers/blood , Cross-Sectional Studies , Diabetes Mellitus, Type 2/diagnosis , Female , Humans , Male , Middle Aged , Osteocalcin/blood , Osteonectin/blood , Prognosis , Risk Factors , Up-Regulation , Young AdultABSTRACT
BACKGROUND AND PURPOSE: The clinical course and optimal treatment strategy for asymptomatic extracranial carotid artery aneurysms (ECAAs) are unknown. We report our single-center experience with conservative management of patients with an asymptomatic ECAA. METHODS: A search in our hospital records from 1998 to 2013 revealed 20 patients [mean age 52 (SD 12.5) years] with 23 ECAAs, defined as a 150% or more fusiform dilation or any saccular dilatation compared with the healthy internal carotid artery. None of the aneurysms were treated and we had no pre-defined follow-up schedule for these patients. The primary study end-point was the yearly rate for ipsilateral ischemic stroke. Secondary end-points were ipsilateral transient ischemic attack, any stroke-related death, other symptoms related to the aneurysm or growth defined as any diameter increase. RESULTS: The ECAA was either fusiform (n = 6; mean diameter 10.2 mm) or saccular (n = 17; mean diameter 10.9 mm). Eleven (55%) patients with 13 ECAAs received antithrombotic medication. During follow-up [median 46.5 (range 1-121) months], one patient died due to ipsilateral stroke and the ipsilateral cerebral stroke rate was 1.1 per 100 patient-years (95% confidence interval, 0.01-6.3). Three patients had ECAA growth, two of whom were asymptomatic and one was the patient who suffered a stroke. CONCLUSIONS: In this retrospective case series of patients with an asymptomatic ECAA, the risk of cerebral infarction is small but not negligible. Conservative management seems justified, in particular in patients without growth. Large prospective registry data are necessary to assess follow-up imaging strategies and the role of antiplatelet therapy.
Subject(s)
Aneurysm/therapy , Carotid Artery Diseases/therapy , Carotid Artery, Internal/diagnostic imaging , Conservative Treatment , Adult , Aged , Aneurysm/diagnostic imaging , Carotid Artery Diseases/diagnostic imaging , Computed Tomography Angiography , Female , Humans , Ischemic Attack, Transient/diagnostic imaging , Magnetic Resonance Angiography , Male , Middle Aged , Registries , Retrospective Studies , Stroke/diagnostic imagingABSTRACT
BACKGROUND: Dual antiplatelet therapy (DAPT) remains the cornerstone therapy in the prevention of ischaemic events following drug-eluting stent (DES) implantation. Mandatory duration of DAPT after DES however, is a matter of debate. We aimed to evaluate safety and efficacy of short-term (up to 6 months) versus long-term (12 months) DAPT after DES implantation. METHODS: We searched PubMed, EMBASE, Cochrane databases, and international meetings for randomised clinical trials (RCTs) comparing short with long DAPT. We performed a systematic review and meta-analysis of major trials with primary outcomes: all-cause death, myocardial infarction, definite or probable stent thrombosis, stroke, and major bleeding event. RESULTS: Nine RCTs with a total number of 19,099 patients were pooled in the present meta-analysis. When compared with long DAPT, short DAPT was associated with a significant reduction in major bleeding events (0.62% vs. 1.10%, risk ratio (RR) 0.58, 95% confidence interval (CI) 0.39 to 0.86, pâ¯< 0.007, I2â¯= 21%), whereas all-cause death (1.65% vs. 1.84%, RR 0.90, 95% CI 0.73 to 1.11, pâ¯= 0.34, I2â¯= 0%), myocardial infarction (1.91% vs. 1.68%, RR 1.14, 95% CI 0.92 to 1.40, pâ¯= 0.23, I2â¯= 0%), definite or probable stent thrombosis (0.62% vs. 0.47%, RR 1.25, 95% CI 0.84 to 1.86, pâ¯= 0.27, I2â¯= 0%), and stroke (0.60% vs. 0.67%, RR 0.91, 95% CI 0.63 to 1.31, pâ¯= 0.61, I2â¯= 0%) were similar. CONCLUSIONS: Short DAPT following DES implantation results in a significant reduction of major bleeding events with no apparent increase in all-cause death, myocardial infarction, stent thrombosis, or stroke. Future dedicated trials should investigate the optimal strategies for patient-tailored DAPT in various subgroups.
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The presence of donor-specific anti-HLA antibodies (DSAs) is associated with increased risk of graft failure after kidney transplant. We hypothesized that DSAs against HLA class I, class II, or both classes indicate a different risk for graft loss between deceased and living donor transplant. In this study, we investigated the impact of pretransplant DSAs, by using single antigen bead assays, on long-term graft survival in 3237 deceased and 1487 living donor kidney transplants with a negative complement-dependent crossmatch. In living donor transplants, we found a limited effect on graft survival of DSAs against class I or II antigens after transplant. Class I and II DSAs combined resulted in decreased 10-year graft survival (84% to 75%). In contrast, after deceased donor transplant, patients with class I or class II DSAs had a 10-year graft survival of 59% and 60%, respectively, both significantly lower than the survival for patients without DSAs (76%). The combination of class I and II DSAs resulted in a 10-year survival of 54% in deceased donor transplants. In conclusion, class I and II DSAs are a clear risk factor for graft loss in deceased donor transplants, while in living donor transplants, class I and II DSAs seem to be associated with an increased risk for graft failure, but this could not be assessed due to their low prevalence.
Subject(s)
Donor Selection , Graft Rejection/mortality , HLA Antigens/immunology , Isoantibodies/adverse effects , Kidney Failure, Chronic/surgery , Kidney Transplantation/mortality , Living Donors , Adult , Cadaver , Female , Follow-Up Studies , Graft Rejection/etiology , Graft Rejection/pathology , Graft Survival , Humans , Kidney Transplantation/adverse effects , Male , Middle Aged , Postoperative Complications , Prognosis , Retrospective Studies , Risk Factors , Survival RateABSTRACT
BACKGROUND: Physical, cognitive and psychosocial functioning are frequently impaired in dialysis patients and impairment in these domains relates to poor outcome. The aim of this analysis was to compare the prevalence of impairment as measured by the Kidney Disease Quality of Life- Short Form (KDQOL-SF) subscales between the different age categories and to assess whether the association of these subscales with mortality differs between younger and older dialysis patients. METHODS: This study included data from 714 prevalent hemodialysis patients, from 26 centres, who were enrolled in the CONvective TRAnsport STudy (CONTRAST NCT00205556, 09-12-2005). Baseline HRQOL domains were evaluated for patients <65 years, 65-74 years and over 75 years. Multivariable Cox proportional hazards analyses were performed to assess the relation between the separate domains and 2-year mortality. RESULTS: Emotional health was higher in patients over the age of 75 compared to younger patients (mean level 71, 73 and 77 for increasing age categories respectively, p = 0.02), whilst physical functioning was significantly lower in older patients (mean level 60, 48 and 40, p < 0.01). A low level of physical functioning (Hazard Ratio (HR) 1.72 [95%Confidence Interval (CI) 1.02-2.73]), emotional health (HR 1.85 [95% 1.30-2.63]), and social functioning (HR 1.59 [95% CI 1.12-2.26]), was individually associated with an increased 2-year mortality within the whole population. The absence of effect modification suggests no evidence for different relations within the older age groups. CONCLUSIONS: In dialysis patients, older age is associated with lower levels of physical functioning, whilst the level of emotional health is not associated with age. KDQOL-SF domains physical functioning, emotional health and social functioning are independently associated with mortality in prevalent younger and older hemodialysis patients.
Subject(s)
Kidney Failure, Chronic/mortality , Kidney Failure, Chronic/psychology , Quality of Life/psychology , Renal Dialysis/mortality , Renal Dialysis/psychology , Age Factors , Aged , Aged, 80 and over , Canada/epidemiology , Female , Humans , Kidney Failure, Chronic/therapy , Male , Middle Aged , Mortality/trends , Netherlands/epidemiology , Norway/epidemiology , Renal Dialysis/trends , Treatment OutcomeABSTRACT
BACKGROUND: Psychological distress caused by cardiovascular pre-participation screening (PPS) may be a reason not to implement a PPS program. We assessed the psychological impact of PPS, including cardiac computed tomography (CT), in 318 asymptomatic sportsmen aged ≥45 years. METHODS: Coronary artery disease (CAD) was defined as a coronary artery calcium score ≥100 Agatson units and/or ≥50% luminal stenosis on contrast-enhanced cardiac CT. Psychological impact was measured with the Impact of Event Scale (IES) (seven items) on a six-point scale (grade 0-5). A sum score ≥19 indicates clinically relevant psychological distress. A Likert scale was used to assess overall experiences and impact on sports and lifestyle. RESULTS: A total of 275 participants (86.5% response rate, 95% CI 83-90%) with a mean age of 54.5 ± 6.4 years completed the questionnaires, 48 (17.5%, 95% CI 13-22%) of whom had CAD. The median IES score was 1 (IQR 0-2, [0-23]). IES was slightly higher in those with CAD (mean rank 175 vs. 130, p < 0.001). One participant (with CAD) experienced clinically relevant psychological distress (IES = 23). Participants reported numerous benefits, including feeling safer exercising (58.6%, 95% CI 53-65%) and positive lifestyle changes, especially in those with CAD (17.2 vs. 52.1%, p < 0.001). The majority were satisfied with their participation (93.8%, 95% CI 91-97%). CONCLUSION: Cardiovascular PPS, including cardiac CT, causes no relevant psychological distress in older sportsmen. Psychological distress should not be a reason to forego screening in sportsmen.
ABSTRACT
There is still a debate about the optimal LDL level to achieve with pharmacological treatment. Some support the 'the lower, the better' approach, others support 'a level less than 2.5 mmol/l suffices'. Two recent JAMA papers lend support to both views. So what to believe? The issue is whether those with an achieved low LDL level (< 1.8 mmol/l) carry a lower vascular risk than those with an LDL between 1.8 and 2.5 mmol/l. To study this, both groups need to be identical with respect to all other factors that determine the risk, and therefore only differ in their respective LDL levels. So it is all about adjustment for confounding. One paper (shows no benefit for a LDL level lower than 2.5 mmol/l) is based on individual participant information, allowing for optimal adjustment. The other paper (shows the lower, the better) is based on mean levels of trial groups, and cannot adequately adjust for confounding. These examples demonstrate that study design is very important.