Malnutrition is linked to adverse outcomes in post-cardiac surgery patients. This study investigates the correlation between the Geriatric Nutritional Risk Index (GNRI) and adverse hospital outcomes in patients following cardiac surgery. This retrospective study included elderly patients with heart disease who were admitted to the Department of Cardiology, Fujian Medical University Union Hospital from January 2020 to December 2022. Patients were divided into two groups based on the cut-off value (98 g/dL). Data from 407 patients were assessed, with 278 (68.3%) classified as having nutritional risk and 129 (31.7%) as having no nutritional risk. Notable distinctions were observed in body weight, BMI, and left ventricular ejection fraction (P < 0.05). Laboratory indicators indicated lower levels of serum albumin, lymphocytes, red blood cells, hemoglobin, admission blood glucose, and admission triglyceride in the nutritional risk group (P < 0.05). Neutrophils and serum creatinine were higher in the nutritional risk group (P < 0.05). Poor prognosis was prevalent in the nutrition risk group (64.7%), with higher incidences of adverse outcomes (P < 0.05). Univariate and multivariate studies showed that GNRI < 98 g/dL was an independent predictor of postoperative cardiac surgery. Nutritional risk was an important predictor of adverse hospital outcomes after the surgery.

This study aims to assess the global prevalence of kinesiophobia and the potential influencing factors among patients with heart disease. A comprehensive search was conducted in PubMed, Embase, Web of Science, PsycINFO, and Scopus databases to identify studies reporting on the prevalence of kinesiophobia and its influencing factors in heart disease patients up to January 2024. A random-effects model was employed to aggregate prevalence rates. Heterogeneity sources were investigated through subgroup analysis, while differences in the prevalence of kinesiophobia across regions, types of heart disease, and gender were evaluated. Additionally, a qualitative analysis of the factors influencing kinesiophobia was performed. This research incorporated 15 studies from six countries, with 14 providing data on the prevalence of kinesiophobia and nine exploring its potential influencing factors. The findings indicated that the overall prevalence of kinesiophobia among heart disease patients was 61.0% (95% CI 49.4-72.6%). Subgroup analysis revealed that the prevalence in upper-middle-income countries was 71.8% (95% CI 66.2-77.4%), while it stands at 49.9% (95% CI 30.2-69.5%) in high-income countries. The prevalence rates among patients with coronary artery disease, heart failure, and atrial fibrillation were 63.2% (95% CI 45.2-81.3%), 69.2% (95% CI 57.6-80.8%), and 71.6% (95% CI 67.1-76.1%), respectively. Gender-wise, no significant difference was observed in the prevalence of kinesiophobia between men and women (52.2% vs. 51.8%). A total of 24 potential influencing factors of kinesiophobia were identified, with education level, monthly income, anxiety, and exercise self-efficacy being the most recognized. The prevalence of kinesiophobia in patients with heart disease is notably high and is influenced by a multitude of factors. Early implementation of targeted preventive measures is imperative to mitigate the incidence of kinesiophobia in this population.

BACKGROUND: Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clinical practice, in contrast to fundus retinal imaging which is accessible and routinely performed. Whether artificial intelligence (AI) utilizing retinal images collected through diabetic eye screening can provide an efficient diagnostic method for CAN is unknown.
METHODS: This was a single center, observational study in a cohort of patients with DM as a part of the Cardiovascular Disease in Patients with Diabetes: The Silesia Diabetes-Heart Project (NCT05626413). To diagnose CAN, we used standard CV autonomic reflex tests. In this analysis we implemented AI-based deep learning techniques with non-mydriatic 5-field color fundus imaging to identify patients with CAN. Two experiments have been developed utilizing Multiple Instance Learning and primarily ResNet 18 as the backbone network. Models underwent training and validation prior to testing on an unseen image set.
RESULTS: In an analysis of 2275 retinal images from 229 patients, the ResNet 18 backbone model demonstrated robust diagnostic capabilities in the binary classification of CAN, correctly identifying 93% of CAN cases and 89% of non-CAN cases within the test set. The model achieved an area under the receiver operating characteristic curve (AUCROC) of 0.87 (95% CI 0.74-0.97). For distinguishing between definite or severe stages of CAN (dsCAN), the ResNet 18 model accurately classified 78% of dsCAN cases and 93% of cases without dsCAN, with an AUCROC of 0.94 (95% CI 0.86-1.00). An alternate backbone model, ResWide 50, showed enhanced sensitivity at 89% for dsCAN, but with a marginally lower AUCROC of 0.91 (95% CI 0.73-1.00).
CONCLUSIONS: AI-based algorithms utilising retinal images can differentiate with high accuracy patients with CAN. AI analysis of fundus images to detect CAN may be implemented in routine clinical practice to identify patients at the highest CV risk.
BACKGROUND: This is a part of the Silesia Diabetes-Heart Project (Clinical-Trials.gov Identifier: NCT05626413).

Exercise-induced inflammation can influence iron metabolism. Conversely, the effects of vitamin D3, which possesses anti-inflammatory properties, on ultramarathon-induced heart damage and changes in iron metabolism have not been investigated. Thirty-five healthy long-distance semi-amateur runners were divided into two groups: one group received 150,000 IU of vitamin D3 24 h prior to a race (n = 16), while the other group received a placebo (n = 19). Serum iron, hepcidin (HPC), ferritin (FER), erythroferrone (ERFE), erythropoietin (EPO), neopterin (NPT), and cardiac troponin T (cTnT) levels were assessed. A considerable effect of ultramarathon running on all examined biochemical markers was observed, with a significant rise in serum levels of ERFE, EPO, HPC, NPT, and cTnT detected immediately post-race, irrespective of the group factor. Vitamin D3 supplementation showed a notable interaction with the UM, specifically in EPO and cTnT, with no other additional changes in the other analysed markers. In addition to the correlation between baseline FER and post-run ERFE, HPC was modified by vitamin D. The ultramarathon significantly influenced the EPO/ERFE/HPC axis; however, a single substantial dose of vitamin D3 had an effect only on EPO, which was associated with the lower heart damage marker cTnT after the run.

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OBJECTIVE: We evaluated what proportion of families have a consumer-grade pulse oximeter, why they bought one, and how they choose to use it.
OBJECTIVE: We hypothesized that children followed in cardiorespiratory clinics would be more likely to have an oximeter than children attending a more general clinic.
UNASSIGNED: We carried out a cross-sectional study using a convenience sample of children attending a respirology, cardiology, or gastroenterology clinic at a children\'s hospital. Consenting guardians completed a survey.
RESULTS: Two-hundred families completed the survey. Fifty-three (26.5%; 53/200) had an oximeter at home. The proportion of children attending a cardiorespiratory clinic who had an oximeter was higher than another clinic (p = 0.08), but 15.5% of children attending the latter also had access to one. Of devices not funded by government insurance, over 80% of devices were \"fingertip\" clamp-style oximeters, and 50% were purchased online. Most devices were used only when the child was ill (83.7%; 36/43). Only about 1/3 of families had received education about using an oximeter, and a similar proportion had compared their oximeter to a medical-grade device. Only 2.4% (1/42) respondents did not feel that their device was \"somewhat\" or \"very\" accurate. The oxygen saturation that would prompt seeking emergency care was similar to most pediatric acute care guidelines.
CONCLUSIONS: Many children, particularly those with cardiorespiratory conditions, have access to consumer-grade pulse oximeters. Asking about the presence of an oximeter should be part of the pediatric history, and families responding affirmatively should be offered education.

Cardiovascular diseases continue to be the leading cause of mortality worldwide, claiming a significant number of lives each year. Despite the advancements in predictive models, including logistic regression, neural networks, and random forests, these techniques often lack transparency and interpretability, limiting their practical application in clinical settings. To address this challenge, this research introduces EPFHD-RARMING, an innovative approach designed to enhance the understanding and predictability of heart disease through the discovery of rare and meaningful patterns. EPFHD-RARMING utilizes rare association rule mining to uncover hidden and unexpected rules that identify critical factors contributing to heart disease. This method is particularly adept at identifying high-risk patterns in individuals who appear healthy but may develop heart disease under certain conditions, thus facilitating early intervention and preventive measures. By integrating these insights with established feature engineering techniques, EPFHD-RARMING enhances its practical utility, enabling medical professionals to proactively manage patient care and tailor interventions to individual risk profiles. This study demonstrates the effectiveness of EPFHD-RARMING in providing a deeper, actionable understanding of the complex dynamics of heart disease. The model\'s ability to identify and interpret rare patterns holds significant promise for advancing medical analytics and improving patient outcomes. Moreover, the applicability of EPFHD-RARMING extends beyond the healthcare domain, offering valuable insights in various fields where the discovery of rare patterns is critical, such as finance, marketing, and cybersecurity. This study conducts a comprehensive evaluation, which demonstrates the superior performance of EPFHD-RARMING compared to traditional predictive models in identifying key factors contributing to heart disease, in terms of interestingness, explainability, and comprehensiveness of insights. The results underscore the potential of this innovative approach to revolutionize our understanding and prediction of heart disease, ultimately contributing to more effective and personalized healthcare solutions. This research emphasizes the importance of rare association rule mining in medical analytics and paves the way for future studies to explore and utilize these techniques across diverse domains.

UNASSIGNED: While communicable diseases have long been the primary focus of healthcare in Africa, the rising impact of paediatric and congenital heart disease (CHD) cannot be overlooked. This research aimed to estimate the frequency and pattern of heart diseases in children who underwent their first echocardiography at a national cardiac referral hospital in Tanzania.
UNASSIGNED: A retrospective observational study was conducted on children aged 0 to 18 years referred for first-time cardiological evaluation from January 2017 to December 2022. Retrieval of social and echocardiogram data and descriptive analysis were performed.
UNASSIGNED: There were 6,058 children with complete reports. Of these, 52.8% (3,198) had heart disease, of whom 2,559 (80%) had CHD, while (340/639; 53.2%) with acquired heart disease (AHD) had rheumatic heart disease (RHD). Children with CHD had a median age 1.0 years (IQR: 0.3-3.5) and were predominantly 51.2% male. Children with RHD had a median age 9.7 years (IQR: 3.2-13.8) with equal gender distribution. Shunt lesions were common in 1,487 (58.1%), mainly VSD 19.3%, PDA 19.1%, ASD 15.1%, and atrioventricular septal defect (AVSD) 4.6%. Pulmonary valve stenosis was in 97 (3.8%). Around 35% (718) had cyanotic CHD, with TOF being most common (13.3%), followed by double outlet right ventricle (DORV) (3.6%). Compared to global average truncus arteriosus was higher in 69 (2.3%) children. In contrast, TGA and hypoplastic left heart syndrome (HLHS) were lower than the estimated global average seen in 2.3% and 0.5% of the cases, respectively. Atresia of the right-side valves was more common (174 vs. 24), and approximately 40% of the patients referred for first-time echocardiographic evaluation required hospitalization.
UNASSIGNED: Congenital heart disease is the primary cause of heart disease in children presenting at a national referral hospital, surpassing RHD. With its distinct distribution pattern, acyanotic lesions are more frequent than cyanotic heart diseases. The observed late referral tendencies suggest improving the referral system, enhancing CHD awareness among healthcare professionals, and instituting nationwide screening programs.

BACKGROUND: Direct oral anticoagulants (DOACs) have been widely applied in adults for thrombosis prophylaxis. However, the effect of DOACs in pediatric patients with congenital or acquired heart diseases who need anticoagulation therapy remains unclear.
METHODS: We systematically searched the databases of PubMed, Embase, and the Cochrane Library, as well as the ClinicalTrials.gov registry and the World Health Organization\'s International Clinical Trials Registry Platform until June 2024 to identify relevant randomized clinical trials (RCTs). If the number of included studies was less than 5, we performed a narrative review to assess the effect of DOACs in pediatric patients.
RESULTS: Four studies were included. In the UNIVERSE study, thrombotic events occurred in 2% of the rivaroxaban group and 9% of the aspirin group, with bleeding events in 36% and 41%, respectively. The ENNOBLE-ATE study showed no thromboembolic events in the edoxaban group and 1.7% in the SOC group (rate difference: -0.07%, 95% CI: -0.22 to 0.07%). Major bleeding rates were similar (rate difference: -0.03%, 95% CI: -0.18 to 0.12%). The SAXOPHONE trial showed no thromboembolic events in either group and similar major bleeding rates (-0.8%, 95% CI: -8.1 to 3.3%). In the DIVERSITY trial, 81% of dabigatran patients achieved the primary outcome versus 59.3% in the SOC group (Odds ratio: 0.342, 95% CI: 0.081-1.229). No major bleeding occurred in either group.
CONCLUSIONS: Existing studies suggest that the use of DOACs hold promise as an effective and safe alternative for preventing and treating thromboembolism in pediatric patients with heart conditions.

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