259 research outputs found

    Cause-specific child mortality in a mountainous community in Pakistan by verbal autopsy

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    In Pakistan\u27s rural areas population-based cause of death data from systematic verbal autopsies are rare. Using verbal autopsy algorithms with multiple coding and decision rules, we assigned causes of death among 79% of children under age five years dying between July, 1988 and December, 1991 in Oshikhandass, a remote mountainous community in Pakistan\u27s Northern Areas. Main causes of death were pneumonia (44%), diarrhoea (35%), and neonatal sepsis (6%). Combined (main plus associated) analysis revealed 48% died with diarrhoea, 46% with malnutrition, 44% with pneumonia, 15% with neonatal sepsis, and 15% with low birth weight. Median age of death with pneumonia was 2 months, with diarrhoea 8 months. Half died by month 4. The inquiry was well received by villagers. Population-based verbal autopsy surveillance is a cost-effective strategy to guide health managers. Plans are underway to institute it for the surrounding population of 400,000. Creative ways to access, treat and reduce risk among young infants are needed

    DNA Methylation: Basic Biology and Application to Traumatic Brain Injury.

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    This article reviews the literature pertinent to epigenetic changes, and in particular, DNA methylation following traumatic brain injury (TBI). TBI is a heterogeneous disease that is a major cause of death and long-term disability. The links between TBI and epigenetics, the process by which environmental factors alter gene expression without changing the underlying DNA sequence, is an expanding area of research that may have profound consequences for understanding the disease, and for clinical care. There are various epigenetic changes that may occur as a direct result of TBI, including DNA methylation, histone modification, and changes in the levels of non-coding RNA. This review focuses on DNA methylation, its potential to alter the degree of injury, and the extent of recovery, including development of post-traumatic neurodegeneration, response to therapies, and the hereditable consequences of injury. The functional consequences of non-coding RNA and histone modifications are well described in the literature; however, the mechanism by which these three mechanisms interact are often overlooked. Here, we briefly describe the interaction of DNA methylation with the two other key epigenetic changes, and highlight key work being performed to understand the functional relevance of those mechanisms. The field of epigenetics is rapidly advancing as a result of the advent of less invasive and more versatile methods for measuring epigenetic proteins and their functional impact on cells; however, the evidence specific to TBI is limited. This review identifies several important outstanding questions that remain from the work already conducted, and highlights directions for the future

    Hesperidin Loaded Liposomes for the Treatment of Diabetes and Hypertension

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    Antimicrobial agents, cancer treatments, diabetes drugs, hypertension drugs, antifungal drugs, peptide hormones, enzymes, vaccines, and genetic materials are just some of the many drugs that Hesperidin loaded Liposomes (HLLs) have been shown to improve the delivery of in recent years. Liposomes can be broken down further into subgroups based on lamellarity, size, charge, and function due to variations in preparation processes and lipid compositions. They can be used for drug delivery via several routes of administration thanks to their adaptable behaviour, which is not dependent on their solubility. Liposomes loaded with hesperidin have the ability to target a chemical to specific tissues, potentially improving the therapeutic efficacy of several drugs. Medications' in vitro and in vivo efficacy can both be boosted by a drug delivery technology called hesperidin-loaded liposomes it can also decrease its toxicity, and increase its efficacy by delivering the molecule in a more regulated fashion. This article discusses analytical methods for managing physical, chemical, and biological characteristics in the production of various drugs, as well as ways for creating hesperidin-loaded liposomes. The main characteristics of the formation and manufacturing processes of liposome nanocarriers are covered in this article, with a focus on the structural characteristics and crucial factors that govern the development of acceptable and stable formulations. We detail the primary benefits (and drawbacks) of each method, as well as their suitability for mass industrial manufacturing

    Impairment in Activities of Daily Living, Care Receipt, and Unmet Needs in a Middle-Aged and Older Rural South African Population: Findings From the HAALSI Study

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    OBJECTIVES: The objective of this study is to analyze the degree to which care needs are met in an aging rural African population. METHOD: Using data from the Health and Aging in Africa: Longitudinal Study of an INDEPTH Community (HAALSI) baseline survey, which interviewed 5,059 adults aged older than 40 years in rural South Africa, we assessed the levels of limitations in activities of daily living (ADLs) and in unmet care for these ADLs, and evaluated their association with sociodemographic and health characteristics. RESULTS: ADL impairment was reported by 12.2% of respondents, with the proportion increasing with age. Among those with ADL impairment, 23.9% reported an unmet need and 51.4% more a partially met need. Relatives provided help most often; formal care provision was rare. Unmet needs were more frequent among younger people and women, and were associated with physical and cognitive deficits, but not income or household size. DISCUSSION: Unmet care needs in rural South Africa are often found among individuals less expected to require care

    Factors influencing the opinion of individuals in determining tumour spread after biopsy

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    <p>Abstract</p> <p>Background</p> <p>People often have concerns regarding tumour spread after biopsy which leads to a delay in seeking expert medical advice. The data regarding this perception is scanty. Therefore, we conducted this cross sectional study to explore the beliefs and perceptions of individuals regarding tumour spread after biopsy and the basis of those beliefs.</p> <p>Methods</p> <p>The survey was conducted in outpatient areas of two different tertiary care hospitals of Karachi namely Aga Khan University Hospital Karachi (AKUH) and Karachi Institute of Radiotherapy and Nuclear Medicine (KIRAN). We interviewed 600 individuals and documented their responses on a questionnaire. There were 400 responders from Aga Khan's Consulting Clinic and 100 each from Aga Khan's Oncology Clinic and KIRAN.</p> <p>Results</p> <p>Only 50% of the respondents chose biopsy as the best test for diagnosis of cancer. The level of education was statistically significant in making this choice of answer (<it>p </it>= 0.02) only in univariate analysis. Those individuals who were involved in the work up of cancer patients irrespective of their educational status gave more intelligent answers (<it>p </it>= 0.003). The tumour disturbance after biopsy was regarded as a major factor among 127 respondents (53%) who believed that biopsy could lead to spread of tumour.</p> <p>Conclusions</p> <p>Our study revealed that awareness regarding cancer diagnosis and biopsy is lacking among general public and it does not co-relate well with the level of formal education. These misconception and taboos need to be addressed in public seminars and in the media in order to increase the awareness which could facilitate prompt diagnosis.</p

    Runtime and aPTT predict venous thrombosis and thromboembolism in patients on extracorporeal membrane oxygenation: a retrospective analysis

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    BACKGROUND: Even though bleeding and thromboembolic events are major complications of extracorporeal membrane oxygenation (ECMO), data on the incidence of venous thrombosis (VT) and thromboembolism (VTE) under ECMO are scarce. This study analyzes the incidence and predictors of VTE in patients treated with ECMO due to respiratory failure. METHODS: Retrospective analysis of patients treated on ECMO in our center from 04/2010 to 11/2015. Patients with thromboembolic events prior to admission were excluded. Diagnosis was made by imaging in survivors and postmortem examination in deceased patients. RESULTS: Out of 102 screened cases, 42 survivors and 21 autopsy cases [mean age 46.0 ± 14.4 years; 37 (58.7 %) males] fulfilling the above-mentioned criteria were included. Thirty-four patients (54.0 %) underwent ECMO therapy due to ARDS, and 29 patients (46.0 %) with chronic organ failure were bridged to lung transplantation. Despite systemic anticoagulation at a mean PTT of 50.6 ± 12.8 s, [VT/VTE 47.0 ± 12.3 s and no VT/VTE 53.63 ± 12.51 s (p = 0.037)], VT and/or VTE was observed in 29 cases (46.1 %). The rate of V. cava thrombosis was 15/29 (51.7 %). Diagnosis of pulmonary embolism prevailed in deceased patients [5/21 (23.8 %) vs. 2/42 (4.8 %) (p = 0.036)]. In a multivariable analysis, only aPTT and time on ECMO predicted VT/VTE. There was no difference in the incidence of clinically diagnosed VT in ECMO survivors and autopsy findings. CONCLUSIONS: Venous thrombosis and thromboembolism following ECMO therapy are frequent. Quality of anticoagulation and ECMO runtime predicted thromboembolic events

    Rasch Analysis of the Upper-Limb Sub-scale of the STREAM Tool in an Acute Stroke Population

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    Background – Stroke is a leading cause of disability worldwide. The most common impairment resulting from stroke is upper limb weakness. Objectives - To determine the usefulness and psychometric validity of the upper limb sub-scale of the STREAM in an acute stroke population. Methods: Rasch Analysis, including unidimensionality assumption testing, determining model fit, and analysis of: reliability, residual correlations, & differential item functioning. Results - 125 individuals were assessed using the upper limb sub-scale of the Stroke Rehabilitation Assessment of Movement (STREAM) tool. Rasch analysis suggests the STREAM is a unidimensional measure. However, when scored using the originally proposed method (0-2), or using the response pattern (0-5) neither variant fit the Rasch model (p < 0.05). Although, the reliability was good (Person-Separation Index – 0.847 & 0.903 respectively). Correcting for the disordered thresholds, and thereby producing the new scoring pattern, led to substantial improvement in the overall fit (chi-square probability of fit - 22%), however, the reliability was slightly reduced (PSI – 0.806). Conclusions - The study proposes a new scoring method for the upper limb sub-scale of the STREAM outcome measure in the acute stroke population.Stroke Associatio

    The value of standards for health datasets in artificial intelligence-based applications

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    Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because of systemic inequalities in dataset curation, unequal opportunity to participate in research and inequalities of access. This study aims to explore existing standards, frameworks and best practices for ensuring adequate data diversity in health datasets. Exploring the body of existing literature and expert views is an important step towards the development of consensus-based guidelines. The study comprises two parts: a systematic review of existing standards, frameworks and best practices for healthcare datasets; and a survey and thematic analysis of stakeholder views of bias, health equity and best practices for artificial intelligence as a medical device. We found that the need for dataset diversity was well described in literature, and experts generally favored the development of a robust set of guidelines, but there were mixed views about how these could be implemented practically. The outputs of this study will be used to inform the development of standards for transparency of data diversity in health datasets (the STANDING Together initiative)
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