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Journal of Arrhythmia Jun 2024The relationships between frailty and clinical outcomes in elderly Japanese patients with non-valvular atrial fibrillation (NVAF) after catheter ablation (CA) have not...
BACKGROUND
The relationships between frailty and clinical outcomes in elderly Japanese patients with non-valvular atrial fibrillation (NVAF) after catheter ablation (CA) have not been established. We evaluated the frailty rate of patients undergoing CA for NVAF, examined whether CA for NVAF improves frailty, and analyzed the CA outcomes of patients with and without frailty.
METHODS
Elderly Japanese patients (≥65 years; mean age: 72.8 years) who participated in the real-world ablation therapy with anti-coagulants in management of atrial fibrillation registry and who responded to the frailty screening index survey were included ( = 213). Frailty and AF recurrence were assessed preoperatively and at 3 and 6 months after CA.
RESULTS
Twenty-six patients (12.8%) were frail, 109 (53.7%) were pre-frail, and 68 (33.5%) were robust. Cardiovascular (frailty: 0.5%/person-year; pre-frailty: 0.1%/person-year; robust: 0.1%/person-year) and cardiac (frailty: 0.5%/person-year; pre-frailty: 0.1%/person-year; robust: 0.1%/person-year) events, as well as major bleeding (frailty: 0.3%/person-year; pre-frailty: 0.1%/person-year; robust: 0.1%/person-year), were numerically more frequent in the frailty group. No deaths from cardiovascular or stroke/systemic thromboembolic events occurred. A large proportion of patients did not experience 3-month (frailty: 96.2%; pre-frailty: 96.3%; robust: 88.2%) or 6-month (frailty: 88.5%; pre-frailty: 91.7%; robust: 86.8%) AF recurrence after CA. Weight loss, walking speed, and fatigue improved in the frailty and pre-frailty groups after CA.
CONCLUSION
Japanese patients aged ≥65 years with frailty or pre-frailty had improved frailty screening index components, such as weight loss, walking speed and fatigue, after CA. Therefore, elderly patients with frailty or pre-frailty may benefit from CA for NVAF.
PubMed: 38939797
DOI: 10.1002/joa3.13038 -
Frontiers in Global Women's Health 2024The introduction of vaccines marked a game changer in the fight against COVID-19. In sub-Saharan Africa, studies have documented the intention to vaccinate and the...
The introduction of vaccines marked a game changer in the fight against COVID-19. In sub-Saharan Africa, studies have documented the intention to vaccinate and the uptake of COVID-19 vaccines. However, little is documented about how sex differences could have impacted COVID-19 vaccination. We conducted a multi-country cross-sectional study to assess the sex differences in COVID-19 vaccine uptake and intention to vaccinate in the Democratic Republic of Congo (DRC), Nigeria, Senegal, and Uganda. This study involved analysis of data from mobile surveys conducted between March and June 2022 among nationally constituted samples of adults in each country. Bivariate and multivariable logistic regression models were run. The self-reported uptake of COVID-19 vaccines was not significantly different between males and females (= 0.47), while the intention to vaccinate was significantly higher among males ( = 0.008). Among males, obtaining COVID-19 information from health workers, testing for COVID-19, and having high trust in the Ministry of Health were associated with higher vaccination uptake. Among females, having high trust in the government was associated with higher vaccination uptake. For intention to vaccinate, males who resided in semi-urban areas and females who resided in rural areas had significantly higher vaccination intention compared to their counterparts in urban areas. Other factors positively associated with vaccination intention among males were trust in the World Health Organization and perceived truthfulness of institutions, while males from households with a higher socio-economic index and those who had declined a vaccine before had a lower vaccine intention. Overall, the factors differentiating vaccine uptake and intention to vaccinate among males and females were mostly related to trust in government institutions, perceived truthfulness of institutions, and respondent's residence. These factors are key in guiding the tailoring of interventions to increase COVID-19 vaccine uptake in sub-Saharan Africa and similar contexts.
PubMed: 38939751
DOI: 10.3389/fgwh.2024.1356609 -
Journal of Immunology Research 2024Sepsis treatment is a challenging condition due to its complexity, which involves host inflammatory responses to a severe and potentially fatal infection, associated... (Review)
Review
Sepsis treatment is a challenging condition due to its complexity, which involves host inflammatory responses to a severe and potentially fatal infection, associated with organ dysfunction. The aim of this study was to analyze the scientific literature on the immunomodulatory effects of glucans in a murine model of systemic infection induced by cecal ligation and puncture. This study comprises an integrative literature review based on systematic steps, with searches carried out in the PubMed, ScienceDirect, Scopus, Web of Science, and Embase databases. In most studies, the main type of glucan investigated was -glucan, at 50 mg/kg, and a reduction of inflammatory responses was identified, minimizing the occurrence of tissue damage leading to increased animal survival. Based on the data obtained and discussed in this review, glucans represent a promising biotechnological alternative to modulate the immune response and could potentially be used in the clinical management of septic individuals.
Topics: Animals; Sepsis; Disease Models, Animal; Humans; Mice; Glucans; beta-Glucans; Immunomodulation
PubMed: 38939744
DOI: 10.1155/2024/6876247 -
JACC. Advances Apr 2024Statins are highly effective for primary prevention of atherosclerotic cardiovascular disease (ASCVD) and mortality. Data on the benefit of statins in adults with heart...
BACKGROUND
Statins are highly effective for primary prevention of atherosclerotic cardiovascular disease (ASCVD) and mortality. Data on the benefit of statins in adults with heart failure with preserved ejection fraction (HFpEF) and without ASCVD are limited.
OBJECTIVES
The purpose of this study was to determine whether statins are associated with a lower risk of mortality and major adverse cardiovascular events (MACE) in HFpEF.
METHODS
Veterans Health Administration data from 2002 to 2016, linked to Medicare and Medicaid claims and pharmaceutical data, were collected. Patients had a new HFpEF diagnosis and no known ASCVD or prior statin use at baseline. Cox proportional hazards models were fit to evaluate the association of new statin use with outcomes (all-cause mortality and MACE). Propensity score overlap weighting (PSW) was used to balance baseline characteristics.
RESULTS
Among 7,970 Veterans, 47% initiated a statin over a mean 6.0-year follow-up. At HFpEF diagnosis, mean age was 69 ± 12 years, 96% were male, 67% were White, 14% were Black, and mean EF was 60% ± 6%. Before PSW, statin users were younger with more prevalent metabolic syndrome, arthritis, and other chronic conditions. All characteristics were balanced after PSW. There were 5,314 deaths and 4,859 MACE events. After PSW, the hazard for all-cause mortality for statin users vs nonusers was 22% lower (HR: 0.78; 95% CI: 0.73-0.83). The HR for MACE was 0.79 (95% CI: 0.74-0.84), 0.69 (95% CI: 0.60-0.80) for all-cause hospitalization, and 0.72 (95% CI: 0.59-0.88) for HF hospitalization.
CONCLUSIONS
New statin use was associated with reduced all-cause mortality, MACE, and hospitalization in Veterans with HFpEF without prevalent ASCVD.
PubMed: 38939680
DOI: 10.1016/j.jacadv.2024.100869 -
JACC. Advances Apr 2024Pediatric pulmonary embolism (PE) is rare and potentially life-threatening. Though thrombolysis and thrombectomy are increasingly used in adult PE, trends in pediatric...
BACKGROUND
Pediatric pulmonary embolism (PE) is rare and potentially life-threatening. Though thrombolysis and thrombectomy are increasingly used in adult PE, trends in pediatric treatment and outcomes remain incompletely described.
OBJECTIVES
The purpose of this study was to describe the incidence of PE, proportion of cases treated with anticoagulation alone, systemic thrombolysis, and directed therapy (local thrombolysis and thrombectomy), clinical outcomes, and total costs.
METHODS
A multicenter observational study was performed using administrative data from the Pediatric Health Information System database to study PE treated at U.S. pediatric hospitals from 2015 to 2021. Outcomes by treatment were evaluated using multivariable generalized linear mixed effects models.
RESULTS
Of 3,136 subjects, 70% were at least 12 years of age, and 46% were male. Sixty-two percent had at least 1 comorbidity, and congenital heart disease of any kind was the most prevalent (20%). Eighty-eight percent of subjects received anticoagulation alone, 7% received systemic thrombolysis, and 5% received directed therapy. Overall in-hospital mortality was 7.5%. Treatment approach did not change over time ( = 0.98). After adjusting for patient characteristics, directed therapy was associated with a lower risk of mortality (adjusted percentage -3%, [95% CI: -5% to 0%]) than anticoagulation alone. Systemic thrombolysis was associated with a greater total cost of hospitalization ($113,043 greater [95% CI: $62,866, $163,219]). Length of hospital stay did not differ by treatment.
CONCLUSIONS
Pediatric patients with PE have a high incidence of underlying chronic disease. Anticoagulation alone remains the mainstay of treatment, with thrombolysis and thrombectomy rarely being used. Given the relative rarity of pediatric PE, additional research requiring innovative study designs is paramount.
PubMed: 38939674
DOI: 10.1016/j.jacadv.2024.100895 -
JACC. Advances Apr 2024Maternal mortality is a major public health crisis in the United States. Cardiovascular disease (CVD) is a leading cause of maternal mortality and morbidity. Labor and... (Review)
Review
Maternal mortality is a major public health crisis in the United States. Cardiovascular disease (CVD) is a leading cause of maternal mortality and morbidity. Labor and delivery is a vulnerable time for pregnant individuals with CVD but there is significant heterogeneity in the management of labor and delivery in high-risk patients due in part to paucity of high-quality randomized data. The authors have convened a multidisciplinary panel of cardio-obstetrics experts including cardiologists, obstetricians and maternal fetal medicine physicians, critical care physicians, and anesthesiologists to provide a practical approach to the management of labor and delivery in high-risk individuals with CVD. This expert panel will review key elements of management from mode, timing, and location of delivery to use of invasive monitoring, cardiac devices, and mechanical circulatory support.
PubMed: 38939671
DOI: 10.1016/j.jacadv.2024.100901 -
JACC. Advances Apr 2024Major adverse cardiovascular events (MACE) are a leading cause of morbidity and mortality among adults with type 2 diabetes. Currently, available MACE prediction models...
BACKGROUND
Major adverse cardiovascular events (MACE) are a leading cause of morbidity and mortality among adults with type 2 diabetes. Currently, available MACE prediction models have important limitations, including reliance on data that may not be routinely available, narrow focus on primary prevention, limited patient populations, and longtime horizons for risk prediction.
OBJECTIVES
The purpose of this study was to derive and internally validate a claims-based prediction model for 1-year risk of MACE in type 2 diabetes.
METHODS
Using medical and pharmacy claims for adults with type 2 diabetes enrolled in commercial, Medicare Advantage, and Medicare fee-for-service plans between 2014 and 2021, we derived and internally validated the annualized claims-based MACE estimator (ACME) model to predict the risk of MACE (nonfatal acute myocardial infarction, nonfatal stroke, and all-cause mortality). The Cox proportional hazards model was composed of 30 covariates, including patient age, sex, comorbidities, and medications.
RESULTS
The study cohort comprised 6,623,526 adults with type 2 diabetes, mean age 68.1 ± 10.6 years, 49.8% women, and 73.0% Non-Hispanic White. ACME had a concordance index of 0.74 (validation index range: 0.739-0.741). The predicted 1-year risk of the study cohort ranged from 0.4% to 99.9%, with a median risk of 3.4% (IQR: 2.3%-6.5%).
CONCLUSIONS
ACME was derived in a large usual care population, relies on routinely available data, and estimates short-term MACE risk. It can support population risk stratification at the health system and payer levels, participant identification for decentralized clinical trials of cardiovascular disease, and risk-stratified observational studies using real-world data.
PubMed: 38939660
DOI: 10.1016/j.jacadv.2024.100852 -
Current Developments in Nutrition Jun 2024Community health workers (CHWs) are utilized in many health systems to provide education and messaging to families in their catchment areas. However, CHWs responsible...
BACKGROUND
Community health workers (CHWs) are utilized in many health systems to provide education and messaging to families in their catchment areas. However, CHWs responsible for large geographic areas often must make important decisions about whom to visit. Factors that influence these decisions are understudied.
OBJECTIVES
This study assessed coverage and targeting for home visits by CHWs within a large social and behavioral change health program in rural Tanzania.
METHODS
This implementation research was a cross-sectional, mixed-methods study. Data collection included a census with households and surveys with females, surveys with CHWs, and interviews with CHWs. Survey data also included the collection of household location data for females and CHWs. Quantitative data were analyzed using linear probability models, and qualitative data were analyzed using inductive thematic analysis.
RESULTS
Only 13% of eligible households in our study sites reported receiving a home visit from a CHW. Although CHWs were more likely to reach households with infants, other program priority populations, such as poor and food insecure households, were frequently missed. Global positioning system data showed that distance was 1 of the greatest barriers for CHWs in providing home visits. Qualitative data indicated that although CHWs were motivated and engaged to improve maternal and child health in their communities, they faced challenges in visiting households that were further away or lacked economic resources to improve their health behaviors. CHWs also found it difficult to provide health education during home visits to mothers with no formal schooling.
CONCLUSIONS
Programs relying on community volunteers need to set realistic workloads, especially when volunteer CHWs also work full-time in their primary occupations. Implementation could also be strengthened by providing extra support for CHWs so that they can effectively provide services to community members who are more difficult to visit but may be the most in need.
PubMed: 38939649
DOI: 10.1016/j.cdnut.2024.103780 -
Current Research in Food Science 2024Discriminant analysis of similar food samples is an important aspect of achieving food quality control. The effective combination of Raman spectroscopy and machine...
Discriminant analysis of similar food samples is an important aspect of achieving food quality control. The effective combination of Raman spectroscopy and machine learning algorithms has become an extremely attractive approach to develop intelligent discrimination techniques. Feature spectral analysis can help researchers gain a deeper understanding of the data patterns in food quality discrimination. Herein, this work takes the discrimination of three brands of dairy products as an example to investigate the Raman spectral feature based on the support vector machines (SVM), extreme learning machines (ELM) and convolutional neural network (CNN) algorithms. The results show that there are certain differences in the optimal spectral feature interval corresponding to different machine learning algorithms. Selecting the appropriate spectral feature interval can maintain high recognition accuracy and improve the computational efficiency of the algorithm. For example, the SVM algorithm has a recognition accuracy of 100% in the 890-980 cm, 1410-1500 cm fusion spectral range, which takes about 200 s. The ELM algorithm also has a recognition accuracy of 100% in the 890-980 cm, 1410-1500 cm fusion spectral range, which takes less than 0.3 s. The CNN algorithm has a recognition accuracy of 100% in the 890-980 cm, 1050-1180 cm, 1410-1500 cm fusion spectral range, which takes about 80 s. In addition, by analyzing the distribution of spectral feature intervals based on Euclidean distance, the distribution of experimental samples based on feature spectra is visually displayed. Through the spectral feature analysis process of similar samples, a set of analysis strategies is provided to deeply reveal the data foundation of classification algorithms, which can provide reference for the analysis of relevant discriminative research patterns.
PubMed: 38939610
DOI: 10.1016/j.crfs.2024.100782 -
Frontiers in Public Health 2024With the rapid development of artificial intelligence and Internet-of-Things technology, internal support systems among families are gradually weakening, which can no...
INTRODUCTION
With the rapid development of artificial intelligence and Internet-of-Things technology, internal support systems among families are gradually weakening, which can no longer satisfy the current demands of older adults. In this context, smart senior care has become a new development direction. However, existing studies on the demand for smart senior care are primarily concentrated in economically developed provinces and mega-cities in eastern China; their research results or conclusions may not apply to underdeveloped areas in the Western region. Therefore, our study selects Lanzhou as a representative city in an underdeveloped western region to investigate the demand of older adults for smart senior care and analyze the influencing factors.
METHODS
This cross-sectional study included 4,815 older adults from Lanzhou, China. A structured questionnaire was designed to investigate the demands of the older adults for smart senior care and analyze thie influencing factors. The Chi-square test was used for single factor analysis of each variable. The logistic regression model included the statistically significant variables to analyze factors influencing older adults' demand for smart senior care. A significance level of < 0.05 was considered statistically significant.
RESULTS
Among the surveyed older adults, 1,625 (33.75%) expressed a demand for smart senior care. The finding indicated that participants' age, level of education, marital status, monthly income, number of children, type of endowment insurance, and knowledge of smart senior care were significantly associated with their demands for smart senior care ( < 0.05). Notably, medical care emerged as the smart senior care service with the highest demand rate (79.45%).
CONCLUSION
In Lanzhou, older adults show a low level of knowledge but a high demand for smart senior care. Their demand is influenced by personal, family, health conditions, senior care security, and other factors. To advance smart senior care, government departments should accelerate the improvement of the laws and regulations on smart senior care while vigorously enhancing the service's publicity to raise knowledge about it. Additionally, the service contents for smart senior care should be expanded to meet the diversified demands of older adults.
Topics: Humans; China; Aged; Cross-Sectional Studies; Male; Female; Surveys and Questionnaires; Aged, 80 and over; Middle Aged; Health Services Needs and Demand; Health Services for the Aged
PubMed: 38939563
DOI: 10.3389/fpubh.2024.1337584