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Frontiers in Neurology 2024Upwards of 50% of acute ischemic stroke (AIS) survivors endure varying degrees of disability, with a recurrence rate of 17.7%. Thus, the prediction of outcomes in AIS...
BACKGROUND AND OBJECTIVES
Upwards of 50% of acute ischemic stroke (AIS) survivors endure varying degrees of disability, with a recurrence rate of 17.7%. Thus, the prediction of outcomes in AIS may be useful for treatment decisions. This study aimed to determine the applicability of a machine learning approach for forecasting early outcomes in AIS patients.
METHODS
A total of 659 patients with new-onset AIS admitted to the Department of Neurology of both the First and Second Affiliated Hospitals of Bengbu Medical University from January 2020 to October 2022 included in the study. The patient' demographic information, medical history, Trial of Org 10,172 in Acute Stroke Treatment (TOAST), National Institute of Health Stroke Scale (NIHSS) and laboratory indicators at 24 h of admission data were collected. The Modified Rankine Scale (mRS) was used to assess the 3-mouth outcome of participants' prognosis. We constructed nine machine learning models based on 18 parameters and compared their accuracies for outcome variables.
RESULTS
Feature selection through the Least Absolute Shrinkage and Selection Operator cross-validation (Lasso CV) method identified the most critical predictors for early prognosis in AIS patients as white blood cell (WBC), homocysteine (HCY), D-Dimer, baseline NIHSS, fibrinogen degradation product (FDP), and glucose (GLU). Among the nine machine learning models evaluated, the Random Forest model exhibited superior performance in the test set, achieving an Area Under the Curve (AUC) of 0.852, an accuracy rate of 0.818, a sensitivity of 0.654, a specificity of 0.945, and a recall rate of 0.900.
CONCLUSION
These findings indicate that RF models utilizing general clinical and laboratory data from the initial 24 h of admission can effectively predict the early prognosis of AIS patients.
PubMed: 38938777
DOI: 10.3389/fneur.2024.1407152 -
Oxidative Medicine and Cellular... 2024Spinal cord injury (SCI) is a common neurological disease worldwide, often resulting in a substantial decrease in quality of life, disability, and in severe cases, even... (Review)
Review
Spinal cord injury (SCI) is a common neurological disease worldwide, often resulting in a substantial decrease in quality of life, disability, and in severe cases, even death. Unfortunately, there is currently no effective treatment for this disease. Nevertheless, current basic and clinical evidence suggests that vitamins, with their antioxidant properties and biological functions, may play a valuable role in improving the quality of life for individuals with SCI. They can promote overall health and facilitate the healing process. In this review, we discuss the mechanisms and therapeutic potential of vitamins in the treatment of SCI.
Topics: Spinal Cord Injuries; Humans; Vitamins; Animals; Antioxidants
PubMed: 38938696
DOI: 10.1155/2024/4293391 -
Health Care Science Oct 2023Diabetes mellitus (DM) is a major public health concern in India, and entails a severe burden in terms of disability, death, and economic cost. This study examined the...
BACKGROUND
Diabetes mellitus (DM) is a major public health concern in India, and entails a severe burden in terms of disability, death, and economic cost. This study examined the out-of-pocket health expenditure (OOPE) and financial burden associated with DM care in India.
METHODS
The study used data from the latest round of the National Sample Survey on health, which covered 555,115 individuals from 113,823 households in India. In the present study, data of 1216 individuals who sought inpatient treatment and 6527 individuals who sought outpatient care for DM were analysed.
RESULTS
In India, 10.04 per 1000 persons reported having DM during the last 15 days before the survey date, varying from 6.94/1000 in rural areas to 17.45/1000 in urban areas. Nearly 38% of Indian households with diabetic members experienced catastrophic health expenditure (at the 10% threshold) and approximately 10% of DM-affected households were pushed below the poverty line because of OOPE, irrespective of the type of care sought. 48.5% of households used distressed sources to finance the inpatient costs of DM. Medicines constituted one of the largest proportion of total health expenditure, regardless of the type of care sought or type of healthcare facility visited. The average monthly OOPE was over 4.5-fold and 2.5-fold higher for households who sought inpatient and outpatient care, respectively, from private health facilities, compared with those treated at public facilities. Notably, the financial burden was more severe for households residing in rural areas, those in lower economic quintiles, those belonging to marginalised social groups, and those using private health facilities.
CONCLUSION
The burden of DM and its associated financial ramifications necessitate policy measures, such as prioritising health promotion and disease prevention strategies, strengthening public healthcare facilities, improved regulation of private healthcare providers, and bringing outpatient services under the purview of health insurance, to manage the diabetes epidemic and mitigate its financial impact.
PubMed: 38938589
DOI: 10.1002/hcs2.65 -
Health Care Science Oct 2023The gradual ageing of the population, and its effect on public spending, constitutes an urgent challenge for advanced economies. Through this study, we analyse the...
BACKGROUND
The gradual ageing of the population, and its effect on public spending, constitutes an urgent challenge for advanced economies. Through this study, we analyse the effect of older people, and their health and individual characteristics, on public health spending.
METHODS
Using logistic regression methods, we have analysed the use of different health services and health technologies by older people in Spain, controlled for several health, socioeconomic, and other individual factors.
RESULTS
The main factors that explain the consumption of both health services and health technology, above age, are related to the so-called need factors: self-reported health status, presence of chronic diseases, and disability.
CONCLUSION
Knowing the main factors that imply greater public health spending is a topic of special interest for designing efficient health policies, in a context of growth in public health spending. In this way, preventive attention on the so-called need factors may be an important driver to improve the effectiveness of spending.
PubMed: 38938585
DOI: 10.1002/hcs2.68 -
Frontiers in Psychiatry 2024Major depressive disorder (MDD) is a recurrent episodic mood disorder that represents the third leading cause of disability worldwide. In MDD, several factors can... (Review)
Review
Major depressive disorder (MDD) is a recurrent episodic mood disorder that represents the third leading cause of disability worldwide. In MDD, several factors can simultaneously contribute to its development, which complicates its diagnosis. According to practical guidelines, antidepressants are the first-line treatment for moderate to severe major depressive episodes. Traditional treatment strategies often follow a one-size-fits-all approach, resulting in suboptimal outcomes for many patients who fail to experience a response or recovery and develop the so-called "therapy-resistant depression". The high biological and clinical inter-variability within patients and the lack of robust biomarkers hinder the finding of specific therapeutic targets, contributing to the high treatment failure rates. In this frame, precision medicine, a paradigm that tailors medical interventions to individual characteristics, would help allocate the most adequate and effective treatment for each patient while minimizing its side effects. In particular, multi-omic studies may unveil the intricate interplays between genetic predispositions and exposure to environmental factors through the study of epigenomics, transcriptomics, proteomics, metabolomics, gut microbiomics, and immunomics. The integration of the flow of multi-omic information into molecular pathways may produce better outcomes than the current psychopharmacological approach, which targets singular molecular factors mainly related to the monoamine systems, disregarding the complex network of our organism. The concept of system biomedicine involves the integration and analysis of enormous datasets generated with different technologies, creating a "patient fingerprint", which defines the underlying biological mechanisms of every patient. This review, centered on precision medicine, explores the integration of multi-omic approaches as clinical tools for prediction in MDD at a single-patient level. It investigates how combining the existing technologies used for diagnostic, stratification, prognostic, and treatment-response biomarkers discovery with artificial intelligence can improve the assessment and treatment of MDD.
PubMed: 38938457
DOI: 10.3389/fpsyt.2024.1422939 -
Physiotherapy Theory and Practice Jun 2024It has been two decades since the World Health Organization's endorsement of the International Classification of Functioning, Disability and Health (ICF). It is timely...
BACKGROUND
It has been two decades since the World Health Organization's endorsement of the International Classification of Functioning, Disability and Health (ICF). It is timely to undertake a rigorous search that analyzes the discourses around the ICF's conceptual framework within physiotherapy, the kinds of enquiry to date and the professional areas where this is happening and how.
PURPOSE
The aim of this research is to synthesize the literature related to how the physiotherapy profession (practice, research and education) thinks about and puts to use the WHO ICF.
RESULTS
A final sample of 37 papers was agreed. Five overarching third-order interpretations were derived: (i) , (ii) , (iii) , (iv) and (v) . Together, these themes illustrate the evolving role of the ICF in physiotherapy over the previous two decades. They highlight the ICF's potential for shaping the future of physiotherapy practice, education and research.
CONCLUSIONS
Work is needed to connect existing literature about the ICF and related models and embed the ICF, its language and philosophy across physiotherapy education and practice. Re-representation of the model might help address misinterpretation of the ICF, but fundamentally, embedding the ICF in entry-level curriculum is likely to be the most significant driver of change in practice.
PubMed: 38938207
DOI: 10.1080/09593985.2024.2370345 -
Journal of Applied Research in... Sep 2024Previous research identifies organisational culture as one of a number of factors associated with the quality of life outcomes of group home residents' with intellectual...
BACKGROUND
Previous research identifies organisational culture as one of a number of factors associated with the quality of life outcomes of group home residents' with intellectual and developmental disabilities. This study aims to elaborate on the dimensions of group home culture in settings in England.
METHOD
Participant observations and semi-structured interviews with staff were carried out in two group homes. Field-notes, interview notes and transcripts were analysed using inductive thematic analysis by a researcher naïve to the project and the previous literature. Initial coding was re-examined after sensitisation to theorised models in previous literature to identify the most parsimonious fit. The two settings were rated and compared using a five-point Likert scale for each of the dimensions.
RESULTS
The findings describe group home culture across seven dimensions. There were mixed ratings across the different dimensions reflecting inconsistencies in culture that were reflected in staff practice. The challenge in assigning a global rating of culture in group homes, which includes interactions across multiple staff and multiple residents over time, was highlighted.
CONCLUSION
The development of an observational measure of culture is highlighted as potentially helpful in understanding and responding to culture in services for individuals with intellectual and developmental disabilities.
Topics: Humans; Intellectual Disability; Group Homes; Developmental Disabilities; England; Qualitative Research; Adult; Organizational Culture; Male; Female; Middle Aged
PubMed: 38937881
DOI: 10.1111/jar.13270 -
ESC Heart Failure Jun 2024This study aimed to analyse the global prevalence and disability trends of heart failure (HF) from 1990 to 2019, considering both sexes and country-specific economic...
AIMS
This study aimed to analyse the global prevalence and disability trends of heart failure (HF) from 1990 to 2019, considering both sexes and country-specific economic strata.
METHODS
This study conducted a secondary analysis employing data from the Global Burden of Disease (GBD) study. The analysis is stratified by sex and Socio-demographic Index (SDI) levels. Through age-period-cohort and Joinpoint regression analyses, we investigated the temporal trends in HF prevalence and years lived with disability (YLDs) during this period.
RESULTS
Between 1990 and 2019, the global prevalence of HF surged by 106.3% (95% uncertainty interval: 99.3% to 114.3%), reaching 56.2 million cases in 2019. While all-age prevalence and YLDs increased over the 30 year span, age-standardized rates decreased by 2019. Countries with higher SDI experienced a more pronounced percentage decrease compared with those with lower SDI. Longitudinal analysis revealed an overall improvement in both prevalence and YLDs for HF, albeit with notable disparities between SDI quintiles and sexes. Ischaemic heart disease and hypertensive heart disease emerged as the most rapidly increasing and primarily contributing causes of HF, albeit with variations observed across different countries. The average annual percentage change for prevalence and YLDs over the period was -0.26% and -0.25%, respectively.
CONCLUSIONS
This study offers valuable insights into the global burden of HF, considering factors such as population aging, regional disparities, sex differences and aetiological variations. The findings hold significant implications for healthcare planning and resource allocation. Continued assessment of these trends and innovative strategies for HF prevention and management are crucial for addressing this pressing global health concern.
PubMed: 38937863
DOI: 10.1002/ehf2.14915 -
International Journal For Equity in... Jun 2024Addressing the sexuality of individuals with disabilities is important within the framework of global health and societal inclusivity. Despite comprising 16% of the...
Addressing the sexuality of individuals with disabilities is important within the framework of global health and societal inclusivity. Despite comprising 16% of the world's population, this demographic faces sexual autonomy inequality. Acknowledging this intersection is pertinent for achieving inclusive healthcare and upholding the commitments of the 1994 International Conference on Population and Development and the 2006 United Nations Convention on the Rights of Persons with Disabilities. Dispelling stereotypes and promoting dialogue are key to empowering individuals with disabilities and ensuring equitable access to sexual health resources. Integrating sexual health and rights into broader healthcare systems is vital for creating an inclusive society where no one is left behind. This article advocates for the need to address the specific sexual health needs and rights of individuals with disabilities, to implement inclusive policies, and to foster a healthcare environment that respects and supports their autonomy and dignity.
Topics: Humans; Disabled Persons; Sexuality; Human Rights; Sexual Health; Personal Autonomy; Global Health; Health Services Accessibility
PubMed: 38937839
DOI: 10.1186/s12939-024-02219-y -
BMC Medical Informatics and Decision... Jun 2024An ever-increasing amount of data on a person's daily functioning is being collected, which holds information to revolutionize person-centered healthcare. However, the...
An ever-increasing amount of data on a person's daily functioning is being collected, which holds information to revolutionize person-centered healthcare. However, the full potential of data on daily functioning cannot yet be exploited as it is mostly stored in an unstructured and inaccessible manner. The integration of these data, and thereby expedited knowledge discovery, is possible by the introduction of functionomics as a complementary 'omics' initiative, embracing the advances in data science. Functionomics is the study of high-throughput data on a person's daily functioning, that can be operationalized with the International Classification of Functioning, Disability and Health (ICF).A prerequisite for making functionomics operational are the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This paper illustrates a step by step application of the FAIR principles for making functionomics data machine readable and accessible, under strictly certified conditions, in a practical example. Establishing more FAIR functionomics data repositories, analyzed using a federated data infrastructure, enables new knowledge generation to improve health and person-centered healthcare. Together, as one allied health and healthcare research community, we need to consider to take up the here proposed methods.
Topics: Humans; Activities of Daily Living; Patient-Centered Care; International Classification of Functioning, Disability and Health
PubMed: 38937817
DOI: 10.1186/s12911-024-02584-2