Substantial Burden Research Articles

The psychosocial impacts of the 15 March terrorist attack on the Christchurch Muslim community: A descriptive, cross-sectional assessment.

On 15 March 2019, a white supremacist terrorist carried out sequential attacks on two mosques in Christchurch, New Zealand during Friday prayers. This resulted in the loss of 51 lives, 40 others sustained gunshot injuries, and there were approximately 250 survivors. This study aimed to evaluate the impacts on community members, assess clinical needs, facilitate access to appropriate interventions and provide insights into working with a traumatised and diverse population. This cross-sectional study used semi-structured clinical interviews and self-report measures to assess social and demographic factors, mental health disorders and well-being for adult Muslims 11-32 months post-attack. A total of 189 participants completed assessments. The sample was diverse, representing 34 different ethnicities and participant proximity to the attack was complex, with personal and familial exposures. Elevated levels of psychological distress and psychopathology were found with 38% of participants reporting moderate/severe psychological distress on the Kessler-10, 39% reporting post-traumatic stress disorder on the post-traumatic stress disorder checklist-5, and 40% reporting poor well-being or possible depression on the World Health Organization-5 Well Being Index. Secondary stressors were also documented, as well as high scores for post-traumatic growth and the importance of faith. This study provides valuable insights into the repercussions of the Christchurch mosque attack on the affected community, describing the complexity of exposure and the substantial burden of morbidity experienced. It also highlights the high levels of social connectedness and the role of faith in promoting positive outcomes in the recovery process for this population.

Diagnosis of Human Endemic Mycoses Caused by Thermally Dimorphic Fungi: From Classical to Molecular Methods.

Human endemic mycoses are potentially fatal diseases caused by a diverse group of fungi that can alter their morphology in response to an increase in temperature. These thermally dimorphic fungi affect both healthy and immunocompromised hosts, causing a substantial health and economic burden. Despite this, the diagnosis of endemic mycoses is still a formidable challenge for several reasons, including similar symptomatology, limited utility of classical diagnostic methods, inaccessibility to reliable molecular approaches in most endemic areas, and a lack of clinical suspicion out of these regions. This review summarizes essential knowledge on thermally dimorphic fungi and the life-threatening diseases they cause. The principle, advantages and limitations of the methods traditionally used for their diagnosis are also described, along with the application status and future directions for the development of alternative diagnostic strategies, which could help to reduce the disease burden in endemic areas.

Progress in clinical application of humoral biomarkers for central nervous system inflammatory demyelinating diseases

Central nervous system idiopathic inflammatory demyelinating diseases (CNS-IIDD) is an autoimmune disorder characterized by inflammatory demyelination. The disease follows a course of recurrent attacks and remission, with some cases displaying continuous progression, often resulting in disability. The incidence of CNS-IIDD has been increasing, imposing a substantial burden on both patients' families and society in recent years. A promising strategy for disease management involves the identification of humoral biomarkers to diagnose CNS-IIDD and predict disease attack and progression. Such biomarkers could aid in identifying individuals at high risk of disability, enabling targeted preventive interventions. This study summarizes advancements in the identification of humoral biomarkers and their potential for predicting disease activity and progression to offer novel insights into the management of CNS-IIDD.

Global burden of benign prostatic hyperplasia in males aged 60–90 years from 1990 to 2019: results from the global burden of disease study 2019

BackgroundBenign prostatic hyperplasia (BPH) is a prevalent urological disease in elderly males. However, few studies have estimated the temporal and spatial distributions of the BPH burden in male adults aged 60 years and over at the global, national, and regional scales.MethodsLeveraging the Global Burden of Disease, Injuries, and Risk Factors Study, we estimated the global epidemiological trends in the prevalence, incidence, and disability-adjusted life-years (DALYs) of BPH in 204 countries and 21 regions and 5 sociodemographic index (SDI) regions in males aged 60 years and over between 1990 and 2019. The average annual percentage changes (AAPCs) in age-specific rates were estimated to quantify overall trends. We estimated the contribution of population aging and epidemiological alterations in disease burden via composition analysis.ResultsOver the past three decades, the global prevalent cases, incident cases and DALYs of BPH have increased, ranging from 118.78 to 121.22%. The global number of prevalent BPH cases reached 79 million in people aged 60 years and older in 2019. The prevalence, incidence, and DALYs rates gradually increased, with AAPCs of 0.02, 0.02, and 0.01, respectively. Low-middle, middle, and low SDI regions experienced rapid increases in the number of prevalent cases of BPH. In 2019, China, India, and United States of America bore the largest burden of prevalent cases among people aged 60 years and over. The three regions with the highest prevalence rates of BPH were Eastern Europe, Central Latin America, and Andean Latin America. The increased prevalence was attributed to population growth (94.93%), epidemiological changes (3.45%), and aging (1.62%), globally.ConclusionsBPH is a global health issue that imposes substantial economic burdens on most countries, particularly males aged 60 years and over. Effective health decisions are imperative for BPH prevention and treatment.

Evaluating guideline and registration policies among neurology journals: a cross-sectional analysis

BackgroundNeurological disorders have had a substantial rise the last three decades, imposing substantial burdens on both patients and healthcare costs. Consequently, the demand for high-quality research has become crucial for exploring effective treatment options. However, current neurology research has some limitations in terms of transparency, reproducibility, and reporting bias. The adoption of reporting guidelines (RGs) and trial registration policies has been proven to address these issues and improve research quality in other medical disciplines. It is unclear the extent to which these policies are being endorsed by neurology journals. Therefore, our study aims to evaluate the publishing policies of top neurology journals regarding RGs and trial registration.MethodsFor this cross-sectional study, neurology journals were identified using the 2021 Scopus CiteScore Tool. The top 100 journals were listed and screened for eligibility for our study. In a masked, duplicate fashion, investigators extracted data on journal characteristics, policies on RGs, and policies on trial registration using information from each journal’s Instruction for Authors webpage. Additionally, investigators contacted journal editors to ensure information was current and accurate. No human participants were involved in this study. Our data collection and analyses were performed from December 14, 2022, to January 9, 2023.ResultsOf the 356 neurology journals identified, the top 100 were included into our sample. The five-year impact of these journals ranged from 50.844 to 2.226 (mean [SD], 7.82 [7.01]). Twenty-five (25.0%) journals did not require or recommend a single RG within their Instructions for Authors webpage, and a third (33.0%) did not require or recommend clinical trial registration. The most frequently mentioned RGs were CONSORT (64.6%), PRISMA (52.5%), and ARRIVE (53.1%). The least mentioned RG was QUOROM (1.0%), followed by MOOSE (9.0%), and SQUIRE (17.9%).ConclusionsWhile many top neurology journals endorse the use of RGs and trial registries, there are still areas where their adoption can be improved. Addressing these shortcomings leads to further advancements in the field of neurology, resulting in higher-quality research and better outcomes for patients.

The cost of care for children hospitalized with respiratory syncytial virus (RSV) associated lower respiratory infection in Kenya

BackgroundRespiratory syncytial virus (RSV) is one of the main causes of hospitalization for lower respiratory tract infection in children under five years of age globally. Maternal vaccines and monoclonal antibodies for RSV prevention among infants are approved for use in high income countries. However, data are limited on the economic burden of RSV disease from low- and middle-income countries (LMIC) to inform decision making on prioritization and introduction of such interventions. This study aimed to estimate household and health system costs associated with childhood RSV in Kenya.MethodsA structured questionnaire was administered to caregivers of children aged < 5 years admitted to referral hospitals in Kilifi (coastal Kenya) and Siaya (western Kenya) with symptoms of acute lower respiratory tract infection (LRTI) during the 2019–2021 RSV seasons. These children had been enrolled in ongoing in-patient surveillance for respiratory viruses. Household expenditures on direct and indirect medical costs were collected 10 days prior to, during, and two weeks post hospitalization. Aggregated health system costs were acquired from the hospital administration and were included to calculate the cost per episode of hospitalized RSV illness.ResultsWe enrolled a total of 241 and 184 participants from Kilifi and Siaya hospitals, respectively. Out of these, 79 (32.9%) in Kilifi and 21(11.4%) in Siaya, tested positive for RSV infection. The total (health system and household) mean costs per episode of severe RSV illness was USD 329 (95% confidence interval (95% CI): 251–408 ) in Kilifi and USD 527 (95% CI: 405– 649) in Siaya. Household costs were USD 67 (95% CI: 54–80) and USD 172 (95% CI: 131– 214) in Kilifi and Siaya, respectively. Mean direct medical costs to the household during hospitalization were USD 11 (95% CI: 10–12) and USD 67 (95% CI: 51–83) among Kilifi and Siaya participants, respectively. Observed costs were lower in Kilifi due to differences in healthcare administration.ConclusionsRSV-associated disease among young children leads to a substantial economic burden to both families and the health system in Kenya. This burden may differ between Counties in Kenya and similar multi-site studies are advised to support cost-effectiveness analyses.

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosis, capturing symptoms like thought disorder and flattened affect. Recent advancements in Natural Language Processing (NLP) methodologies enable the automated extraction of informative speech features, which has been leveraged for early psychosis detection and assessment of symptomology. However, critical gaps persist, including the absence of standardized sample collection protocols, small sample sizes, and a lack of multi-illness classification, limiting clinical applicability. Our study aimed to (1) identify an optimal assessment approach for the online and remote collection of speech, in the context of assessing the psychosis spectrum and evaluate whether a fully automated, speech-based machine learning (ML) pipeline can discriminate among different conditions on the schizophrenia-bipolar spectrum (SSD-BD-SPE), help-seeking comparison subjects (MDD), and healthy controls (HC) at varying layers of analysis and diagnostic complexity. We adopted online data collection methods to collect 20 minutes of speech and demographic information from individuals. Participants were categorized as "healthy" help-seekers (HC), having a schizophrenia-spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), or being on the psychosis spectrum with sub-clinical psychotic experiences (SPE). SPE status was determined based on self-reported clinical diagnosis and responses to the PHQ-8 and PQ-16 screening questionnaires, while other diagnoses were determined based on self-report from participants. Linguistic and paralinguistic features were extracted and ensemble learning algorithms (e.g., XGBoost) were used to train models. A 70%-30% train-test split and 30-fold cross-validation was used to validate the model performance. The final analysis sample included 1140 individuals and 22,650 minutes of speech. Using 5-minutes of speech, our model could discriminate between HC and those with a serious mental illness (SSD or BD) with 86% accuracy (AUC = 0.91, Recall = 0.7, Precision = 0.98). Furthermore, our model could discern among HC, SPE, BD and SSD groups with 86% accuracy (F1 macro = 0.855, Recall Macro = 0.86, Precision Macro = 0.86). Finally, in a 5-class discrimination task including individuals with MDD, our model had 76% accuracy (F1 macro = 0.757, Recall Macro = 0.758, Precision Macro = 0.766). Our ML pipeline demonstrated disorder-specific learning, achieving excellent or good accuracy across several classification tasks. We demonstrated that the screening of mental disorders is possible via a fully automated, remote speech assessment pipeline. We tested our model on relatively high number conditions (5 classes) in the literature and in a stratified sample of psychosis spectrum, including HC, SPE, SSD and BD (4 classes). We tested our model on a large sample (N = 1150) and demonstrated best-in-class accuracy with remotely collected speech data in the psychosis spectrum, however, further clinical validation is needed to test the reliability of model performance.

Prospects and Current Challenges of Extracellular Vesicle-Based Biomarkers in Cancer.

Cancer continues to impose a substantial global health burden, particularly among the elderly, where the ongoing global demographic shift towards an ageing population underscores the growing need for early cancer detection. This is essential for enabling personalised cancer care and optimised treatment throughout the disease course to effectively mitigate the increasing societal impact of cancer. Liquid biopsy has emerged as a promising strategy for cancer diagnosis and treatment monitoring, offering a minimally invasive method for the isolation and molecular profiling of circulating tumour-derived components. The expansion of the liquid biopsy approach to include the detection of tumour-derived extracellular vesicles (tdEVs) holds significant therapeutic opportunity. Evidence suggests that tdEVs carry cargo reflecting the contents of their cell-of-origin and are abundant within the blood, exhibiting superior stability compared to non-encapsulated tumour-derived material, such as circulating tumour nucleic acids and proteins. However, despite theoretical promise, several obstacles hinder the translation of extracellular vesicle-based cancer biomarkers into clinical practice. This critical review assesses the current prospects and challenges facing the adoption of tdEV biomarkers in clinical practice, offering insights into future directions and proposing strategies to overcome translational barriers. By addressing these issues, EV-based liquid biopsy approaches could revolutionise cancer diagnostics and management.

Late diagnosis of CKD and associated survival after initiation of renal replacement therapy in Kazakhstan: analysis of nationwide electronic healthcare registry 2014–2019

Chronic kidney disease (CKD) presents a significant global health challenge, often progressing to end-stage renal disease (ESRD) necessitating renal replacement therapy (RRT). Late referral (LR) to nephrologists before RRT initiation is linked with adverse outcomes. However, data on CKD diagnosis and survival post-RRT initiation in Kazakhstan remain limited. This study aims to investigate the impact of late CKD diagnosis on survival prognosis after RRT initiation. Data were acquired from the Unified National Electronic Health System (UNEHS) for CKD patients initiating RRT between 2014 and 2019. Survival post-RRT initiation was assessed using the Cox Proportional Hazards Model. Totally, 211,655 CKD patients were registered in the UNEHS databases and 9,097 (4.3%) needed RRT. The most prevalent age group among RRT patients is 45–64 years, with a higher proportion of males (56%) and Kazakh ethnicity (64%). Seventy-four percent of patients were diagnosed late. The median follow-up time was 537 (IQR: 166–1101) days. Late diagnosis correlated with worse survival (HR = 1.18, p < 0.001). Common comorbidities among RRT patients include hypertension (47%), diabetes (21%), and cardiovascular diseases (26%). The history of transplantation significantly influenced survival. Regional disparities in survival probabilities were observed, highlighting the need for collaborative efforts in healthcare delivery. This study underscores the substantial burden of CKD in Kazakhstan, with a majority of patients diagnosed late. Early detection strategies and timely kidney transplantation emerge as crucial interventions to enhance survival outcomes.

2D/0D Heterojunction Fluorescent Probe with Schottky Barrier Based on Ti3C2TX MXene Loaded Graphene Quantum Dots for Detection of H2S During Food Spoilage

AbstractHydrogen sulfide (H2S) contamination of food has raised widespread public health concerns, leading to substantial medical and economic burdens. Herein, a 2D/0D heterojunction fluorescent probe (TCTG) with Schottky barriers (SB) is designed and synthesized, utilizing Ti3C2Tx MXene‐loaded graphene quantum dots (GQDs), for the detection of H2S during food spoilage. The microstructures observed through SEM and TEM reveal that uniformly sized GQDs are evenly attached to the surface of a monolayer Ti3C2Tx. The chemisorption between GQDs and Ti3C2Tx facilitates charge transfer and the formation of SB, resulting in intramolecular charge transfer (ICT) effects. With the introduction of H2S, TCTG(50%) exhibits the highest sensitivity, selectivity, and anti‐interference properties, with ultra‐fast fluorescence transient reaction (3s) and remarkably low detection limit of 41.82 ppb as well as noticeable color change. When TCTG(50%) reacted with H2S, the ICT effects are inhibited, leading to the recovery of photoinduced electron transfer (PET) and fluorescence quenching. Notably, probe TCTG is effectively utilized to detect changes in H2S levels in raw foods to assess their quality. Overall, the significance of this study is its potential to revolutionize food spoilage detection, offering a fast, reliable, and sensitive method to ensure food safety and reduce associated health and economic burdens.

Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care

The aging and multimorbid population and health personnel shortages pose a substantial burden on primary health care. While predictive machine learning (ML) algorithms have the potential to address these challenges, concerns include transparency and insufficient reporting of model validation and effectiveness of the implementation in the clinical workflow. To systematically identify predictive ML algorithms implemented in primary care from peer-reviewed literature and US Food and Drug Administration (FDA) and Conformité Européene (CE) registration databases and to ascertain the public availability of evidence, including peer-reviewed literature, gray literature, and technical reports across the artificial intelligence (AI) life cycle. PubMed, Embase, Web of Science, Cochrane Library, Emcare, Academic Search Premier, IEEE Xplore, ACM Digital Library, MathSciNet, AAAI.org (Association for the Advancement of Artificial Intelligence), arXiv, Epistemonikos, PsycINFO, and Google Scholar were searched for studies published between January 2000 and July 2023, with search terms that were related to AI, primary care, and implementation. The search extended to CE-marked or FDA-approved predictive ML algorithms obtained from relevant registration databases. Three reviewers gathered subsequent evidence involving strategies such as product searches, exploration of references, manufacturer website visits, and direct inquiries to authors and product owners. The extent to which the evidence for each predictive ML algorithm aligned with the Dutch AI predictive algorithm (AIPA) guideline requirements was assessed per AI life cycle phase, producing evidence availability scores. The systematic search identified 43 predictive ML algorithms, of which 25 were commercially available and CE-marked or FDA-approved. The predictive ML algorithms spanned multiple clinical domains, but most (27 [63%]) focused on cardiovascular diseases and diabetes. Most (35 [81%]) were published within the past 5 years. The availability of evidence varied across different phases of the predictive ML algorithm life cycle, with evidence being reported the least for phase 1 (preparation) and phase 5 (impact assessment) (19% and 30%, respectively). Twelve (28%) predictive ML algorithms achieved approximately half of their maximum individual evidence availability score. Overall, predictive ML algorithms from peer-reviewed literature showed higher evidence availability compared with those from FDA-approved or CE-marked databases (45% vs 29%). The findings indicate an urgent need to improve the availability of evidence regarding the predictive ML algorithms' quality criteria. Adopting the Dutch AIPA guideline could facilitate transparent and consistent reporting of the quality criteria that could foster trust among end users and facilitating large-scale implementation.

Global progress in clinical research on human respiratory syncytial virus vaccines.

Human respiratory syncytial virus (hRSV) not only affects newborns but also older adults, contributing to a substantial worldwide burden of disease. However, only three approved hRSV vaccines remain commercially available to date. The development of a safe, practical and broad-spectrum vaccine suitable for all age groups remains extremely challenging. Using five different approaches-live-attenuated, recombinant-vector, subunit, particle-based, and mRNA-nearly 30 hRSV vaccine candidates are currently conducting clinical trials worldwide; moreover, > 30 vaccines are under preclinical evaluation. This review presents a comprehensive overview of these hRSV vaccines along with prospects for the development of infectious disease vaccines in the post-COVID-19 pandemic era.

Burden in caregivers of patients with schizophrenia, depression, dementia, and stroke in Japan: comparative analysis of quality of life, work productivity, and qualitative caregiving burden

BackgroundThe main objective of this study was to examine the burden of schizophrenia, depression, Alzheimer’s disease/dementia, and stroke on caregivers and non-caregivers in Japan. This study also aimed to provide a comparative landscape on the burden of caregiving for each disorder.MethodsThe Japan National Health and Wellness Survey database, 2016 and 2018 was used in this study. Health-related quality of life (HRQoL), work productivity, and health care utilization were assessed using a self-administered, Internet-based questionnaire. The burden of caregiving experienced by each group of caregivers was compared with background-matched non-caregivers (controls) as well as with caregivers of patients with each disorder.ResultsCaregivers of patients with schizophrenia, depression, Alzheimer’s disease/dementia, or stroke had lower HRQoL, higher healthcare costs and work productivity impairment than non-caregivers. Furthermore, caregivers of patients with psychiatric disorders such as schizophrenia and depression had lower HRQoL and work productivity than caregivers of patients with Alzheimer’s disease/dementia and stroke. In addition, according to the Caregiver Reaction Assessment (CRA), caregivers of patients with schizophrenia and depression were more inclined to perceive a loss in physical strength and financial burden to the same extent as their self-esteem.ConclusionsThis study indicated a substantial caregiving burden among caregivers of patients with psychiatric and neurological diseases in Japan. The caregiver burden of psychiatric disorders (schizophrenia and depression) was greater than that of neurological disorders (Alzheimer’s disease/dementia and stroke), suggesting a need to provide support to caregivers of patients with psychiatric disorders to be better able to care for their patients.Trial RegistrationNone.

Exploring the therapeutic implications of natural compounds modulating apoptosis in vascular dementia.

Vascular dementia (VaD) is a prevalent form of dementia stemming from cerebrovascular disease, manifesting in memory impairment and executive dysfunction, thereby imposing a substantial societal burden. Unfortunately, no drugs have been approved for the treatment of VaD due to its intricate pathogenesis, and the development of innovative and efficacious medications is urgently needed. Apoptosis, a programmed cell death process crucial for eliminating damaged or unwanted cells within an organism, assumes pivotal roles in embryonic development and tissue homeostasis maintenance. An increasing body of evidence indicates that apoptosis may significantly influence the onset and progression of VaD, and numerous natural compounds have demonstrated significant therapeutic potential. Here, we discuss the molecular mechanisms underlying apoptosis and its correlation with VaD. We also provide a crucial reference for developing innovative pharmaceuticals by systematically reviewing the latest research progress concerning the neuroprotective effects of natural compounds on VaD by regulating apoptosis. Further high-quality clinical studies are imperative to firmly ascertain these natural compounds' clinical efficacy and safety profiles in the treatment of VaD.

Economic burden and influence factors among hospitalized children with bronchiolitis or pneumonia: a multiregional study in China.

Bronchiolitis and pneumonia are both significant lower respiratory tract infections with a profound impact on children's health. The purpose of this study is to explore the economic burden and related influence factors of pediatric patients with bronchiolitis and pneumonia in China. A face-to-face interview was employed for the investigation of hospitalized patients (≤5 years old) with bronchiolitis and pneumonia, along with their guardians from January to October 2019. Demographic and costs were collected from Shanghai, Zhengzhou, and Kunming, representing three regions with different levels of economic development in China. Multiple linear regression analysis was used to explore factors associated with the economic burden of the diseases. A total of 338 patients with bronchiolitis and 529 patients with pneumonia were included in the analysis. The average hospitalization and total cost for patients with bronchiolitis are 4,162 CNY and 5,748 CNY, respectively, while those with pneumonia are 6,096 CNY and 7,783 CNY. Patients from Shanghai, both bronchiolitis and pneumonia, exhibited the lowest cost expenditures, with average total costs of 3,531 CNY and 3,488 CNY, respectively. Multiple regression analysis indicated that, among bronchiolitis patients, factors such as region, medical insurance, relationship, loss of work time, and length of stay were found to be significantly associated with both hospitalization cost and total cost (p < 0.05). For pneumonia patients, the hospitalization cost and total cost were significantly impacted by region, medical insurance, and length of stay (p < 0.05). Bronchiolitis and pneumonia in children put substantial economic burden on families of affected children. The financial strain varies significantly across different regions, with families in underdeveloped areas and those dealing with pneumonia facing particularly daunting challenges. Targeted policies to reduce healthcare costs and improve insurance coverage, especially in economically disadvantaged regions are needed.

Strengthening lupus education and coordinated care in developing countries

SLE is a chronic autoimmune disease with a wide range of manifestations and potential to affect several organ systems. Complications arise from both disease and medications especially glucocorticoids, significantly contributing to overall morbidity and mortality. SLE predominantly affects patients during their prime productive years resulting in substantial economic burden on the patient, caregivers and society due to direct, indirect and intangible costs. In developing countries with limited resources, efficient healthcare delivery for most lupus patients remains elusive. This is magnified by the increasing shortage of rheumatologists and lupus specialists. Physician education starting in medical school as well as practical referral pathways and physician networking in clinical practice ensure continuity of and coordinated care for every lupus patient. Likewise, education of allied health professionals, patient empowerment and self-help programs help improve overall outcomes in SLE.

The Burden of Malaria in East Africa: Epidemiology and Health Impact

Malaria remains a significant public health challenge in East Africa, disproportionately affecting the region due to diverse ecological conditions, socioeconomic factors, and variable healthcare infrastructure. This review provides an overview of the epidemiological landscape and health impact of malaria in East African countries, including Kenya, Tanzania, Uganda, Rwanda, Burundi, and Ethiopia. The prevalence and distribution of malaria vary widely, with high transmission rates in specific regions and vulnerable groups, particularly children under five and pregnant women. The disease’s health impacts are profound, contributing to high morbidity and mortality, economic loss, and educational deficits, while placing a substantial burden on healthcare systems. Despite progress in malaria control efforts, challenges such as drug resistance, inadequate healthcare infrastructure, and the need for sustained funding persist. The methodology for this review involved a comprehensive analysis of existing literature and epidemiological data on malaria in East Africa. Addressing these challenges requires a multifaceted approach that includes improved surveillance, targeted interventions, and community engagement to reduce the burden of malaria and improve health outcomes in the region. Keywords: Malaria Epidemiology, East Africa, Health Impact, Socioeconomic Burden, Malaria Control Strategies.

Building Capacity of Community Health Centers to Improve the Provision of Postpartum Care Services Through Data-Driven Health Information Technology and Innovation.

Maternal morbidity and mortality remain significant challenges in the United States, with substantial burden during the postpartum period. The Centers for Disease Control and Prevention, in partnership with the National Association of Community Health Centers, began an initiative to build capacity in Federally Qualified Health Centers to (1) improve the infrastructure for perinatal care measures and (2) use perinatal care measures to identify and address gaps in postpartum care. Two partner health center-controlled networks implemented strategies to integrate evidence-based recommendations into the clinic workflow and used data-driven health information technology (HIT) systems to improve data standardization for quality improvement of postpartum care services. Ten measures were created to capture recommended care and services. To support measure capture, a data cleaning algorithm was created to prioritize defining pregnancy episodes and delivery dates and address data inconsistencies. Quality improvement activities targeted postpartum care delivery tailored to patients and care teams. Data limitations, including inconsistencies in electronic health record documentation and data extraction practices, underscored the complexity of integrating HIT solutions into postpartum care workflows. Despite challenges, the project demonstrated continuous quality improvement to support data quality for perinatal care measures. Future solutions emphasize the need for standardized data elements, collaborative care team engagement, and iterative HIT implementation strategies to enhance perinatal care quality. Our findings highlight the potential of HIT-driven interventions to improve postpartum care within health centers, with a focus on the importance of addressing data interoperability and documentation challenges to optimize and monitor initiatives to improve postpartum health outcomes.

Senolytics Cocktail Dasatinib and Quercetin alleviate chondrocyte senescence and facet joint osteoarthritis in mice

Background contextLow back pain (LBP) is a pervasive issue, causing substantial economic burden and physical distress worldwide. Facet joint osteoarthritis (FJ OA) is believed to be a significant contributor to this problem. However, the precise role of chondrocyte senescence in FJ OA remains unclear, as does whether the clearance of chondrocyte senescence can alleviate the progression of FJ OA. PurposeThe goal of this study was to understand the potential of Dasatinib (D) and Quercetin (Q) as a treatment to clear chondrocyte senescence during the progression of FJ OA. Study designWe used a preclinical bipedal standing mice model with the administration of Dasatinib (D) (5 mg/kg) and Quercetin (Q) (50 mg/kg) after 10 weeks of bipedal standing. Materials and methodsHuman degenerative lumbar facet joint (LFJ) samples were obtained to investigate the relationship between chondrocyte cellular senescence and LFJ osteoarthritis (OA). Subsequently, we established an in vitro model of excessive mechanical stress on chondrocytes and an in vivo bipedal standing mice model to induce LFJ OA. IHC (immunohistochemistry) staining in vivo and SA-β-gal staining, qRT-PCR and Western blot analysis were applied to test the senolytic effect of the combination of Dasatinib (D) and Quercetin (Q). IHC staining and X-ray microscope were also performed to examine the contribution of D+Q to the anabolism in cartilage and subchondral bone recoupling. Immunofluorescence and Western blot analysis in vitro and IHC staining in vivo were conducted to assess the impact of D+Q on the regulation of the NF-κB pathway activation during chondrocyte senescence. ResultsWe observed that facet joint cartilage degeneration is associated with chondrocyte cellular senescence in both human and mouse degenerative samples. Following treatment with D+Q in vitro, cellular senescence was significantly reduced. Upon oral gavage administration of D+Q in the bipedal standing mice model, decreased cellular senescence and reversed chondrocyte anabolism were observed. Furthermore, administration of D+Q maintained subchondral bone remodeling homeostasis and potentially reversed the activation of the NF-κB pathway in chondrocytes of the lumbar facet joint. ConclusionsIn summary, our investigation unveiled a significant correlation between chondrocyte senescence and LFJOA. Treatment with the senolytic combination of D+Q in FJ OA yielded a notable reduction in chondrocyte senescence, along with a decrease in the release of SASP factors. Additionally, it facilitated the promotion of cartilage anabolism, maintenance of subchondral bone coupling, and amelioration of NF-κB pathway activation. Clinical significanceOur outcomes revealed that D+Q, the renowned combination used for senolytic treatment, alleviate the progression of LFJ OA. The utilization of D+Q as a senolytic demonstrates a novel and promising alternative for LFJ OA treatment.

Clinical patterns and outcomes of hospitalized patients with grinder-related neurovascular injuries: A decade of experience from a Level I Trauma center

BackgroundOccupational injuries impose a substantial global burden, affecting millions of workers annually, which demands urgent attention to enhance workplace safety and health standards. We aimed to outline the frequency, patterns of injury, and clinical characteristics of patients injured by high-rotation cutting tools (grinders) and to pinpoint the neurovascular (nerves and blood vessels) injuries. MethodsA retrospective study was conducted and included all adult patients hospitalized because of grinder-related injuries at the only level I Trauma Center in the country. The characteristics of patients, mechanism of injury, management and outcomes were analyzed based on the anatomical location of injuries. Results127 patients were hospitalized with grinder-related injuries over ten years. The incidence of GRIs showed an increasing trend over the years. All patients were males with a mean (SD) age of 34.9 (9.8) years. The majority were general laborers (66.1 %), injured by portable grinders (86.6 %), and direct blade contact (64.6 %). The median Injury Severity Score (ISS) was 5.0(IQR 4.0–9.0), and the median Glasgow Coma Scale (GCS) at ED was 15 (3–15). The most frequently injured part was the upper extremity (36.2 %), followed by the lower extremity (33.9 %) and the face (27.6 %). One-third of cases had vascular injuries, and 23.6 % had nerve injuries. Suturing was done for all patients; repairs and debridements were performed in 62 % and 58 % of cases, respectively, and 21 % required vascular surgery. Amputations were required in 9.4 % of cases. Thirty patients had nerve injuries involving the median (11 %) and radial (9.4 %) nerves. Among patients who had neurovascular injuries, 30 % (12/40) experienced complications during the hospital stay, while 60 % (24/40) ended up with physical disabilities. ConclusionIndividuals affected by power-tool accidents were predominantly young males, mainly general laborers, with a significant proportion being expatriates. The trend of grinder-related injuries increases over time, with portable grinders being a primary source of injuries due to direct contact with the blade. The anatomical injuries mainly include fractures of the upper and lower extremities. Further studies are warranted to understand the cultural aspects and training requirements of workers handling power tools, aiming to achieve sustainable injury prevention effectively.