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Objetivo: analisar os fatores intervenientes na gerência do cuidado de enfermagem à criança hospitalizada com cardiopatia reumática. Método: estudo descritivo-exploratório com abordagem qualitativa, que utilizou a Teoria Fundamentada em Dados e o Interacionismo Simbólico, respectivamente, como referencial metodológico e teórico. A coleta de dados foi realizada em uma instituição especializada em atendimento cardiológico, no munícipio do Rio de Janeiro. Foram entrevistados 19 profissionais de enfermagem através de um roteiro semiestruturado. Resultado: emergiram os seguintes fatores intervenientes na prática da gerência do cuidado: condição socioeconômica da família, comportamento da criança, condições de trabalho, comunicação ineficaz, educação permanente, trabalho em equipe e experiência profissional. Conclusão: os resultados apontam para a necessidade de proposição de estratégias de ação e interação que facilitem a prática gerencial de cuidado à criança com cardiopatia reumática e sua família face aos fatores intervenientes identificados.
Objective: to analyze the factors involved in the management of nursing care for children hospitalized with rheumatic heart disease. Method: this is a descriptive-exploratory study with a qualitative approach, which used Data-Based Theory and Symbolic Interactionism, respectively, as methodological, and theoretical references. Data was collected in an institution specializing in cardiac care in the city of Rio de Janeiro. Nineteen nursing professionals were interviewed using a semi-structured script. Result: the following intervening factors in the practice of care management emerged: the family's socioeconomic status, the child's behavior, working conditions, ineffective communication, continuing education, teamwork, and professional experience. Conclusion: the results point to the need to propose strategies for action and interaction that facilitate management practice in caring for children with rheumatic heart disease and their families, given the intervening factors identified.
Objetivo: analizar los factores que intervienen en la gestión del cuidado de enfermería al niño hospitalizado con cardiopatía reumática. Método: estudio descriptivo-exploratorio con enfoque cualitativo, cuyos marcos metodológico y teórico fueron la Teoría Fundamentada y el Interaccionismo Simbólico, respectivamente. La recolección de datos se realizó en una institución especializada en atención cardiológica, en la ciudad de Río de Janeiro. Fueron entrevistados 19 profesionales de enfermería mediante un cuestionario semiestructurado. Resultado: surgieron los siguientes factores intervinientes en la práctica de la gestión del cuidado: condición socioeconómica de la familia, comportamiento del niño, condiciones de trabajo, comunicación ineficaz, educación continua, trabajo en equipo y experiencia profesional. Conclusión: los resultados indican que es necesario proponer estrategias de acción e interacción que faciliten la práctica de la gestión del cuidado al niño con cardiopatía reumática y a sus familiares, con respecto a los factores intervinientes identificados.
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Cardiovascular diseases,such as coronary heart disease (CHD),are the main causes of death in humans.Cardiac rehabilitation with exercise therapy as the core contents is a rehabilitation program specially designed for the patients with cardiovascular diseases,aiming to help the patients improve their physical functions and return to social activities as soon as possible.Active cardiac rehabilitation can not only reduce the morbidity and mortality of CHD and improve the cardiopulmonary function of patients but also reduce the medical and economic burden.This article summarizes the effect of physical function on CHD patients,the current application mode of exercise therapy in cardiac rehabilitation,and the formulation principles of different exercise prescriptions in cardiac rehabilitation,aiming to provide a reference for the application of exercise therapy in CHD patients.
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Coronary Disease , Exercise Therapy , Humans , Exercise Therapy/methods , Coronary Disease/rehabilitation , Coronary Disease/prevention & control , Coronary Disease/therapy , Cardiac Rehabilitation/methodsABSTRACT
BACKGROUND: In double aortic arch (DAA) one of the arches can demonstrate atretic portions postnatally, leading to diagnostic uncertainty due to overlap with isolated right aortic arch (RAA) variants. The main objective of this study is to demonstrate the morphological evolution of different DAA phenotypes from prenatal to postnatal life using 3D fetal cardiac magnetic resonance imaging (CMR) and postnatal CT/CMR imaging. METHODS: 3D fetal CMR was undertaken in fetuses with suspected DAA over a six-year period (Jan 2016 - Jan 2022). All cases with surgical confirmation of DAA were retrospectively studied and morphology on fetal CMR was compared to postnatal CT/CMR and surgical findings. RESULTS: 32 fetuses with surgically confirmed DAA underwent fetal CMR. All demonstrated a complete DAA with left-sided arterial duct. The RAA was dominant in 30/32 (94%). Postnatal CT/CMR was undertaken at median age of 3.3months (IQR 2.0-3.9) demonstrating DAA with patency of both arches in 9/32 (28%), with 6 showing signs of coarctation of the left aortic arch (LAA). The LAA isthmus was not present on CT/CMR in 22/32(69%), the transverse arch between left carotid and left subclavian artery was not present in 1 case. CONCLUSIONS: Fetal CMR provides novel insights into perinatal evolution of DAA. The smaller LAA can develop coarctation or atresia related to postnatal constriction of the arterial duct, making diagnosis of DAA challenging with contrast-enhanced CT/CMR. This highlights the potentially important role for prenatal 3D vascular imaging and might improve intepretation of postnatal imaging.
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BACKGROUND: Conventional low-density lipoprotein cholesterol (LDL-C) quantification includes cholesterol attributable to lipoprotein(a) (Lp(a)-C) due to their overlapping densities. OBJECTIVES: The purposes of this study were to compare the association between LDL-C and LDL-C corrected for Lp(a)-C (LDLLp(a)corr) with incident coronary heart disease (CHD) in the general population and to investigate whether concomitant Lp(a) values influence the association of LDL-C or apolipoprotein B (apoB) with coronary events. METHODS: Among 68,748 CHD-free subjects at baseline LDLLp(a)corr was calculated as "LDL-C-Lp(a)-C," where Lp(a)-C was 30% or 17.3% of total Lp(a) mass. Fine and Gray competing risk-adjusted models were applied for the association between the outcome incident CHD and: 1) LDL-C and LDLLp(a)corr in the total sample; and 2) LDL-C and apoB after stratification by Lp(a) mass (≥/<90th percentile). RESULTS: Similar risk estimates for incident CHD were found for LDL-C and LDL-CLp(a)corr30 or LDL-CLp(a)corr17.3 (subdistribution HR with 95% CI) were 2.73 (95% CI: 2.34-3.20) vs 2.51 (95% CI: 2.15-2.93) vs 2.64 (95% CI: 2.26-3.10), respectively (top vs bottom fifth; fully adjusted models). Categorization by Lp(a) mass resulted in higher subdistribution HRs for uncorrected LDL-C and incident CHD at Lp(a) ≥90th percentile (4.38 [95% CI: 2.08-9.22]) vs 2.60 [95% CI: 2.21-3.07]) at Lp(a) <90th percentile (top vs bottom fifth; Pinteraction0.39). In contrast, apoB risk estimates were lower in subjects with higher Lp(a) mass (2.43 [95% CI: 1.34-4.40]) than in Lp(a) <90th percentile (3.34 [95% CI: 2.78-4.01]) (Pinteraction0.49). CONCLUSIONS: Correction of LDL-C for its Lp(a)-C content provided no meaningful information on CHD-risk estimation at the population level. Simple categorization of Lp(a) mass (≥/<90th percentile) influenced the association between LDL-C or apoB with future CHD mostly at higher Lp(a) levels.
Subject(s)
Apolipoproteins B , Cholesterol, LDL , Coronary Disease , Lipoprotein(a) , Humans , Lipoprotein(a)/blood , Cholesterol, LDL/blood , Male , Female , Coronary Disease/blood , Coronary Disease/epidemiology , Middle Aged , Apolipoproteins B/blood , Aged , Adult , Risk Factors , Risk Assessment/methods , IncidenceABSTRACT
INTRODUCTION: The prevalence of congenital heart disease (CHD) among women of reproductive age is rising. We aimed to investigate the risk of preeclampsia and adverse neonatal outcomes in pregnancies of mothers with CHD compared to pregnancies of mothers without heart disease. MATERIAL AND METHODS: In a nationwide cohort of pregnancies in Norway 1994-2014, we retrieved information on maternal heart disease, the course of pregnancy, and neonatal outcomes from national registries. Comparing pregnancies with maternal CHD to pregnancies without maternal heart disease, we used Cox regression to estimate the adjusted hazard ratio (aHR) for preeclampsia and log-binomial regression to estimate the adjusted risk ratio (aRR) for adverse neonatal outcomes. The estimates were adjusted for maternal age and year of childbirth and presented with 95% confidence intervals (CIs). RESULTS: Among 1 218 452 pregnancies, 2425 had mild maternal CHD, and 603 had moderate/severe CHD. Compared to pregnancies without maternal heart disease, the risk of preeclampsia was increased in pregnancies with mild and moderate/severe maternal CHD (aHR1.37, 95% CI 1.14-1.65 and aHR 1.62, 95% CI 1.13-2.32). The risk of preterm birth was increased in pregnancies with mild maternal CHD (aRR 1.33, 95% CI 1.15-1.54) and further increased with moderate/severe CHD (aRR 2.49, 95% CI 2.03-3.07). Maternal CHD was associated with elevated risks of both spontaneous and iatrogenic preterm birth. The risk of infants small-for-gestational-age was slightly increased with mild maternal CHD (aRR 1.12, 95% CI 1.00-1.26) and increased with moderate/severe CHD (aRR 1.63, 95% CI 1.36-1.95). The prevalence of stillbirth was 3.9 per 1000 pregnancies without maternal heart disease, 5.6 per 1000 with mild maternal CHD, and 6.8 per 1000 with moderate/severe maternal CHD. Still, there were too few cases to report a significant difference. There were no maternal deaths in women with CHD. CONCLUSIONS: Moderate/severe maternal CHD in pregnancy was associated with increased risks of preeclampsia, preterm birth, and infants small-for-gestational-age. Mild maternal CHD was associated with less increased risks. For women with moderate/severe CHD, their risk of preeclampsia and adverse neonatal outcomes should be evaluated together with their cardiac risk in pregnancy, and follow-up in pregnancy should be ascertained.
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INTRODUCTION: Assessing the burden of ischemic heart disease (IHD) attributable to secondhand smoke (SHS) exposure is crucial for informing evidence-based healthcare practices, prevention strategies, and resource allocation planning. METHODS: The burden of IHD attributable to SHS from 1990 to 2019 was assessed using the comparative risk assessment method as part of the Global Burden of Disease (GBD) study 2019. RESULTS: Globally, the absolute number of deaths and disability-adjusted life-years (DALYs) from IHD due to SHS increased substantially from 270.0 thousand and 6971.3 thousand in 1990 to 397.4 thousand and 9566.1 thousand in 2019. The corresponding age-standardized mortality rates (ASMR) and age-standardized DALYs rates (ASDR) were both in a decreasing trend with estimate of the annual percentage change (EAPC) of -1.38 (-1.42 - -1.34) and -1.43 (-1.47 - -1.38). Central Asia has the highest ASMR (16 per 100000, 95% uncertainty interval, UI: 12.8-19.4), and Oceania has the highest ASDR (323.2 per 100000, 95% UI: 228.9-443.1 per 100000) in 2019. All sociodemographic index (SDI) category regions showed a decreasing trend in ASMR and ASDR, with the decrease being more obvious in high and high-middle SDI regions. Our analysis identified an escalating trend concerning ASMR and ASDR in Oceania from 1990 to 2019. In 2019, the most significant number of deaths and DALYs occurred in the age group of 80-84 years (5.4 thousand, 95% UI: 3.7-7.3 in thousands) and the age group of 55-59 years (1140.8 thousand, 95% UI: 876.1-1435 in thousands). CONCLUSIONS: Our study reveals an absolute global increase in deaths and DALYs from IHD due to SHS from 1990 to 2019. Despite a declining trend in ASMR and ASDR, regional disparities persist. The elderly and middle-aged populations bore the most significant burden. These findings highlight the ongoing global health impact of SHS on IHD and emphasize the need for targeted interventions in regions with rising trends and vulnerable age groups.
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BACKGROUND: The morbidity and mortality of heart disease are increasing in middle-aged and elderly people in China. It is necessary to explore relationships and interactive associations between heart disease and its risk factors in order to prevent heart disease. OBJECTIVE: To establish a Bayesian network model of heart disease and its influencing factors in middle-aged and elderly people in China, and explore the applicability of the elite-based structure learner using genetic algorithm based on ensemble learning (EN-ESL-GA) algorithm in etiology analysis and disease prediction. METHODS: Based on the 2013 national tracking survey data from China Health and Retirement Longitudinal Study (CHARLS) database, EN-ESL-GA algorithm was used to learn the Bayesian network structure. Then we input the data and the learned network structure into the Netica software for parameter learning and inference analysis. RESULTS: The Bayesian network model based on the EN-ESL-GAalgorithm can effectively excavate the complex network relationships and interactive associations between heart disease and its risk factors in middle-aged and elderly people in China. CONCLUSIONS: The Bayesian network model based on the EN-ESL-GA algorithm has good applicability and application prospect in the prediction of diseases prevalence risk.
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OBJECTIVES: This study investigated the quantitative assessment and application of Synthetic MRI (SyMRI) for preoperative brain development in children with congenital heart disease (CHD). METHODS: Forty-three CHD patients aged 2-24 months were prospectively included in the observation group, and 43 healthy infants were included in the control group. The SyMRI scans were processed by postprocessing software to obtain T1, T2, and PD maps. The values of T1, T2, and PD in different brain regions were compared with the scores of the five ability areas of the Gesell Development Scale by Pearson correlation analysis. RESULTS: In the observation group, the T1 values of the posterior limb of the internal capsule (PLIC), Optic radiation (PTR), cerebral peduncle, centrum semiovale, occipital white matter, temporal white matter, and dentate nucleus were greater than those in the control group. In the observation group, the T2 values of the PLIC, PTR, frontal white matter, occipital white matter, temporal white matter, and dentate nucleus were greater than those in the control group. Pearson correlation analysis revealed that the observation group had significantly lower Development Scale scores. In the observation group, the T2 value of the splenium of the corpus callosum was significantly positively correlated with the personal social behavior score. The AUCs for diagnosing preoperative brain developmental abnormalities in children with CHD using T1 values of the temporal white matter and dentate nucleus were both greater than 0.60. CONCLUSIONS: Quantitative assessment using SyMRI can aid in the early detection of preoperative brain development abnormalities in children with CHD. CRITICAL RELEVANCE STATEMENT: T1 and T2 relaxation values from SyMRI can be considered as a quantitative imaging marker to detect abnormalities, allowing for early clinical evaluation and timely intervention, thereby reducing neurodevelopmental disorders in these children. KEY POINTS: T1 and T2 relaxation values by SyMRI are related to myelin development. Evaluated development quotient markers were lower in the observation compared to the control group. SyMRI can act as a reference indicator for brain development in CHD children.
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OBJECTIVES: As part of a wider study, our aim was to elicit perspectives of people with congenital heart disease (CHD) and/or their parents/carers about their experiences of healthcare and what is important to them when receiving care. DESIGN AND SETTING: A qualitative study involving a series of closed, asynchronous, online discussion forums underpinned by an interpretivist framework and set up and moderated by three patient charities via their Facebook pages. PARTICIPANTS: People with CHD and parents/carers of people with CHD from the UK. RESULTS: Five forums were run for 12-24 weeks across the three charities, and 343 participants signed up to the forums. Four linked themes related to processes of care were identified following thematic analysis of the transcripts: relationships and communication; access and coordination; experience of discrete episodes of care and psychological support. These impacted how care was experienced and, for some patients, outcomes of CHD and its treatment as well as broader health outcomes. In addition, context relating to stages of the patient journey was described, together with patient-related factors such as patients' knowledge and expertise in their own condition. CONCLUSIONS: People with CHD and their parents/carers want individualised, person-centred care delivered within an appropriately resourced, multidisciplinary service. Although examples of excellent care were provided it is evident that, from the perspective of patients and parents/carers, some National Health Service Standards for people with CHD were not being met.
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Heart Defects, Congenital , Parents , Qualitative Research , Humans , Heart Defects, Congenital/therapy , Heart Defects, Congenital/psychology , Female , Male , United Kingdom , Parents/psychology , Adult , Caregivers/psychology , Communication , Middle Aged , Patient-Centered Care , Adolescent , Young AdultABSTRACT
INTRODUCTION: Congenital heart disease (CHD) is the most common congenital anomaly, representing a significant global disease burden. Limitations exist in our understanding of aetiology, diagnostic methodology and screening, with metabolomics offering promise in addressing these. OBJECTIVE: To evaluate maternal metabolomics and lipidomics in prediction and risk factor identification for childhood CHD. METHODS: We performed an observational study in mothers of children with CHD following pregnancy, using untargeted plasma metabolomics and lipidomics by ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). 190 cases (157 mothers of children with structural CHD (sCHD); 33 mothers of children with genetic CHD (gCHD)) from the children OMACp cohort and 162 controls from the ALSPAC cohort were analysed. CHD diagnoses were stratified by severity and clinical classifications. Univariate, exploratory and supervised chemometric methods were used to identify metabolites and lipids distinguishing cases and controls, alongside predictive modelling. RESULTS: 499 metabolites and lipids were annotated and used to build PLS-DA and SO-CovSel-LDA predictive models to accurately distinguish sCHD and control groups. The best performing model had an sCHD test set mean accuracy of 94.74% (sCHD test group sensitivity 93.33%; specificity 96.00%) utilising only 11 analytes. Similar test performances were seen for gCHD. Across best performing models, 37 analytes contributed to performance including amino acids, lipids, and nucleotides. CONCLUSIONS: Here, maternal metabolomic and lipidomic analysis has facilitated the development of sensitive risk prediction models classifying mothers of children with CHD. Metabolites and lipids identified offer promise for maternal risk factor profiling, and understanding of CHD pathogenesis in the future.
Subject(s)
Heart Defects, Congenital , Lipidomics , Metabolomics , Mothers , Humans , Heart Defects, Congenital/blood , Heart Defects, Congenital/metabolism , Female , Metabolomics/methods , Lipidomics/methods , Adult , Child , Lipids/blood , Chromatography, High Pressure Liquid , Metabolome , Male , Pregnancy , Mass Spectrometry/methodsABSTRACT
PURPOSE OF REVIEW: Marital quality (MQ) is a psychosocial factor that has been neglected in cardiovascular prevention guidelines, although its association with cardiovascular diseases has been identified in several studies. Therefore, we aim to investigate how MQ either in positive or negative dimensions affect different cardiovascular risk factors and diseases. RECENT FINDINGS: We systematically searched different databases in September 2023 for longitudinal studies conducted to assess the contribution of MQ to well-established cardiovascular risk factors and diseases. Two independent researchers screened studies and carried out data extraction and quality assessment of included ones. From 12,175 potential studies screened, 40 were included. The presence of significant heterogeneity in methodology, follow-up, and subsequent effect estimates made it unfeasible to do a meta-analysis. Despite the variation, most studies found a significant association of negative MQ measures with physical inactivity (2/2), high levels of smoking (4/5) and alcohol (3/3) use, increased metabolic syndrome risk (3/3), elevated type 2 diabetes mellitus (T2DM) risk and poor T2DM management (3/6), elevated cardiovascular disease risk and progression (9/11), increased body weight and obesity risk (2/3), elevated blood pressure and hypertension risk (7/8). Positive MQ measures were mainly associated with improvement in blood pressure control (2/2), reduced T2DM risk and its good management (1/1), reduced body weight and obesity risk (2/2), and increased survival in cardiovascular diseases (4/4). Based on current evidence, MQ seems to play a crucial role in developing established cardiovascular risk factors and diseases and is worth considering in preventive strategies.
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Premature ventricular contractions (PVCs) are a common form of arrhythmic events, often representing an idiopathic and benign condition without further therapeutic interventions. However, in certain circumstances PVCs may represent the epiphenomenon of a concealed structural heart disease (SHD). Surface 12leads EKG and 24-h dynamic EKG are necessary to assess their main characteristics such as site of origin, frequency and complexity. Echocardiography represents the first-line imaging tool recommended to evaluate cardiac structures and function. Cardiac Magnetic Resonance (CMR) is recognized as a superior modality for detecting structural cardiac alterations, that might evade detection by conventional echocardiography. Moreover, in specific populations such as athletes, CMR may have a crucial role to exclude a concealed SHD and the risk of serious arrhythmic events during sport activity. Some clinical characteristics such as male sex, older age or family history of sudden cardiac death (SCD) or cardiomyopathy, and some electrocardiographic features of PVCs, in particular a right branch bundle block (RBBB) with superior/intermediate axis morphology, the reproducibility of VAs during exercise test (ET) or the evidence of complex ventricular arrhythmias, may warrant a CMR evaluation, due to the high probability of SHD. In this systematic review our objective was to provide an exhaustive overview on the role of CMR in detecting a concealed SHD in patients with high daily burden of PVCs and a normal echocardiographic evaluation, paving the way for a more extensive utilization of CMR in presence of certain high-risk clinical and/or EKG features identified during the diagnostic workup.
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BACKGROUND: Aortic atresia with ventricular septal defect is a very rare congenital cardiac anomaly, especially in combination with aortic arch interruption. It is always challenging to choose the optimal treatment tactics for such patients. One of the possible types of intervention is the Yasui procedure. There are only 19 reported cases in the literature of aortic atresia with interruption of the aortic arch type B or C, and not a single clinical case of type A. CASE PRESENTATION: The proband was a 2-day-old boy with diagnosis: aortic atresia with a ventricular septal defect and interruption of the aortic arch type B. The child underwent a Yasui procedure without serious postoperative complications and with good long-term result. CONCLUSIONS: The Yasui procedure in patients with aortic atresia and interrupted aortic arch can be performed with minimal complications, even in low-weight patients.
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BACKGROUND: Symptomatic severe aortic stenosis causes substantial morbidity and mortality when left untreated, yet recent data suggest its undertreatment. OBJECTIVE: To evaluate the efficacy of electronic physician notification to facilitate the guideline-directed management of patients with severe aortic stenosis. HYPOTHESIS: We hypothesize that patients with severe aortic stenosis who are in the care of physicians who receive the notification are more likely to undergo aortic valve replacement within 1-year. METHODS/DESIGN: The Electronic Physician Notification to Facilitate the Recognition and Management of Severe Aortic Stenosis (DETECT AS) trial is a randomized controlled trial and quality improvement initiative designed to evaluate the efficacy of electronic provider notification versus usual clinical care in the management of patients with severe aortic stenosis. Providers ordering an echocardiogram with findings potentially indicative of severe aortic stenosis, defined by an aortic valve area ≤1.0 cm2, are randomized in a 1:1 fashion to receive electronic notification (intervention) or usual care. Providers in the notification arm are sent a notification within the electronic health record inbox outlining customized guideline recommendations for the management of patients with severe aortic stenosis based on the 2020 ACC/AHA Clinical Practice Guidelines for Valvular Heart Diseases for the index and all subsequent echocardiograms. Providers in the control arm receive no notification. Randomization continues until 940 patients have been enrolled. SETTING: Multi-centered, academic health system OUTCOMES: The primary endpoint is the proportion of patients with severe AS receiving an aortic valve replacement within 1-year of the index echocardiogram. Secondary endpoints include mortality, heart failure hospitalization, transthoracic echocardiogram utilization/surveillance, aortic stenosis billing code diagnosis, and cardiology/Heart Valve Team referral. CONCLUSION: The DETECT AS trial will provide insight into whether electronic notification of providers on the presence of severe aortic stenosis and associated clinical guideline recommendations will facilitate recognition and guideline-directed management of severe aortic stenosis. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05230225, https://clinicaltrials.gov/ct2/show/NCT05230225.
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OBJECTIVES: The objective of this study was to investigate how kinesiophobia and self-efficacy explain the relationship between fatigue and physical activity (PA) in post-coronary artery bypass grafting (post-CABG) patients over the age of 45. DESIGN: A prospective multicentre and cross-sectional study. SETTING: The study was conducted in four public tertiary hospitals in China. PARTICIPANTS: A total of 1278 patients who underwent CABG surgery were selected from the case pool, with their surgeries occurring between 3 and 19 months prior to selection. Out of 1038 patients who met the inclusion criteria and were invited to participate in the study, 759 patients agreed to participate and complete the questionnaire. Ultimately, 376 questionnaires were deemed eligible and included in the analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The questionnaire included the following scales: the Chinese version of the Multidimensional Fatigue Inventory (MFI-20), the Tampa Scale for Kinesiophobia Heart (TSK-SV Heart), the Cardiac Exercise Self-Efficacy Instrument (CESEI) and the International Physical Activity Questionnaire-Long (IPAQ-L). A serial mediation model was used to test whether the association between fatigue and PA was mediated by kinesiophobia and self-efficacy, in the overall sample and subsamples defined by age. RESULTS: The results confirmed that fatigue was directly (95% CI (-5.73 to -3.02)) associated with PA. Higher kinesiophobia (95% CI (-0.16 to -0.05)) or lower PA self-efficacy (95% CI (-0.11 to -0.02)) were parallel pathways through which higher fatigue impediment reduced PA levels. In both subgroups, the street pathways of kinesiophobia and self-efficacy were altered. In the age, 45-60 years group, kinesiophobia (Boot 95% CI (-0.19 to-0.05)) was a mediator of fatigue on PA levels, while in the 61-75 years age group, self-efficacy (Boot 95% CI (-0.17 to -0.04)) was a mediator of fatigue on PA levels. CONCLUSIONS: A clear relationship between fatigue and PA was mediated by both kinesiophobia and self-efficacy. Furthermore, our findings highlight the importance of adapting the intervention according to the age of the patients, mainly by reducing patients' kinesiophobia in patients aged 45-60 years and increasing patients' self-efficacy in patients aged 61-75 years. It may be possible to improve PA levels in post-CABG patients over 45 years of age by eliminating kinesiophobia and increasing self-efficacy.
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Coronary Artery Bypass , Exercise , Fatigue , Self Efficacy , Humans , Cross-Sectional Studies , Male , Prospective Studies , Female , Middle Aged , China/epidemiology , Exercise/psychology , Fatigue/psychology , Fatigue/etiology , Aged , Coronary Artery Bypass/psychology , Phobic Disorders/psychology , Surveys and Questionnaires , KinesiophobiaABSTRACT
The accurate prediction of heart disease is crucial in the field of medicine. While convolutional neural networks have shown remarkable precision in heart disease prediction, they are often perceived as opaque models due to their complex internal workings. This paper introduces a novel method, named Extraction of Classification Rules from Convolutional Neural Network (ECRCNN), aimed at extracting rules from convolutional neural networks to enhance interpretability in heart disease prediction. The ECRCNN algorithm analyses updated kernels to derive understandable rules from convolutional neural networks, providing valuable insights into the contributing factors of heart disease. The algorithm's performance is assessed using the Statlog (Heart) dataset from the University of California, Irvine's repository. Experimental results underscore the effectiveness of the ECRCNN algorithm in predicting heart disease and extracting meaningful rules. The extracted rules can assist healthcare professionals in making precise diagnoses and formulating targeted treatment plans. In summary, the proposed method bridges the gap between the high accuracy of convolutional neural networks and the interpretability necessary for informed decision-making in heart disease prediction.
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Background: The objective of this study is to conduct a temporal analysis of rheumatic heart disease (RHD) disease burden trends over a 30-year period (1991 to 2021), focusing on prevalence, deaths, and disability-adjusted life years (DALYs) in the South Asia (SA). Methods: In this ecological study, we analyzed data regarding burden of RHD from the Global Burden of Diseases (GBD) study spanning the years 1991 to 2021 for the SA Region. Estimates of the number RHD-related prevalence, deaths, and DALYs along with age-standardized rates (ASR) per 100,000 population and 95% uncertainty intervals (UI) were evaluated. Results: The overall prevalent cases of RHD in the 2021 were 54785.1 × 103 (43328.4 × 103 to 67605.5 × 103), out of which 14378.8 × 103 (11206.9 × 103 to 18056.9 × 103) were from SA. The ASR of point prevalence showed upward trend between 1991 and 2021, at global level and for SA with an average annual percentage change (AAPC) of 0.40 (0.39 to 0.40) and 0.12 (0.11 to 0.13), respectively. The overall number of RHD-related deaths in the 2021 were 373.3 × 103 (324.1 × 103 to 444.8 × 103), out of which 215 × 103 (176.9 × 103 to 287.8 × 103) were from SA, representing 57.6% of the global deaths. The ASR of deaths also showed downward trend between 1991 and 2021, at global level and for SA with an AAPC of -2.66 (-2.70 to -2.63) and -2.07 (-2.14 to -2.00), respectively. The ASR of DALYs showed downward trend between 1990 and 2019, at global level and for South Asian region with an AAPC of -2.47 (-2.49 to -2.44) and -2.22 (-2.27 to -2.17), respectively. Conclusion: The rising age-standardized prevalence of RHD remains a global concern, especially in South Asia which contribute to over 50% of global RHD-related deaths. Encouragingly, declining trends in RHD-related deaths and DALYs hint at progress in RHD management and treatment on both a global and regional scale.
