Conectar
Poor cardiopulmonary fitness is an important risk factor for postoperative complications, yet a feasible, objective and prognostically accurate method to assess preoperative fitness has not been established. The 6 min walk test (6MWT) is a simple, inexpensive and widely applicable measure that shows promise for predicting postoperative risk. However, robust data are lacking on whether the 6MWT accurately predicts complications, provides incremental prognostic value beyond routinely collected clinical factors or outperforms simpler alternatives such as questionnaires, cardiac biomarkers or grip strength testing. The Functional Assessment for Surgery by a Timed Walk (FAST Walk) study is designed to address these knowledge gaps by evaluating whether the 6MWT improves prediction of key postoperative outcomes compared with clinical factors and simpler measures of fitness.
The FAST Walk study is an international multicentre prospective cohort study of 1672 adults (≥40 years) undergoing major elective non-cardiac surgery at centres in Canada, Hong Kong, Australia, Spain and the Netherlands. Participants complete a preoperative 6MWT and baseline assessments of comorbidities, self-reported cardiopulmonary fitness (MET: Re-evaluation for Perioperative Cardiac Risk questionnaire), biomarkers (N-terminal pro-B-type natriuretic peptide) and grip strength. The primary outcome is 30-day death or major postoperative complication, defined as Clavien-Dindo grade II or higher. Secondary outcomes are (1) death or new significant disability at 90 days after surgery and (2) days alive and out of hospital at 30 days after surgery. Disability is measured using the short-form WHO Disability Assessment Schedule 2.0 instrument. Multivariable regression models and complementary metrics of prediction performance will be used to determine whether 6MWT distance adds prognostic value beyond routinely collected clinical factors and simpler measures of fitness.
The FAST Walk study has received research ethics board approval at all participating sites. Recruitment commenced in June 2024, with completion of participant follow-up expected in 2026. Findings will be disseminated through peer-reviewed publications and conference presentations, with the primary results anticipated in 2027.
Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate secondary prevention but remains challenging due to its often asymptomatic or paroxysmal occurrence. Artificial intelligence (AI) offers new possibilities by integrating biomarkers, clinical phenotypes, established risk factors and imaging features to define a personalised ‘digital twin’ model. The TAILOR study aims to (1) examine prospective detection of AF using monitoring devices, (2) investigate novel prognostic MRI markers in patients with an AF-related stroke (AFRS) and (3) validate AI-based models for outcome prediction in AFRS.
This prospective multicentre observational cohort study includes patients aged 40 years and above, with neuroimaging-confirmed diagnosis of ischaemic stroke, recruited from two sites: Hospital del Mar Barcelona (Spain) and Radboud University Medical Centre (The Netherlands). For the first sub-study (n=300), patients will undergo clinical assessment at baseline, 3 months and 12 months, and patch-based or Holter cardiac monitoring. The second sub-study (n=200) involves repeated brain MRI and cognitive examination after AFRS. Finally, AI-driven ‘digital twin’ models developed on retrospective TARGET datasets will be prospectively evaluated in TAILOR using temporal and centre-stratified analyses for advanced predictive tools for AF and AFRS outcomes.
The TAILOR study was approved by local ethics boards in Barcelona (CPMP/ICH/135/95) and Medical Research Ethics Committee Oost-Nederland (NL86346.091.24). Patients will be included after providing informed consent. Study results will be presented in peer-reviewed journals and at global conferences.
by Resham B. Khatri, Rolina Dhital, Sabita Tuladhar, Nisha Joshi Bhatta, Yibeltal Assefa
BackgroundImproving maternal health is a global priority for overall socioeconomic development countries, especially in the low- and middle-income countries including Nepal. Recently, Nepal has made significant progress in enhancing access to maternal health services and in reducing maternal mortality ratio (MMR). Nonetheless, the MMR remains high (151 maternal deaths per 100,000 live births), with a slower rate of decline in recent years, particularly among disadvantaged groups. This study investigates trends and determinants of key maternal health services in Nepal.
MethodsWe conducted further analysis of secondary data from the most recent three Nepal Demographic and Health Surveys (NDHS) conducted in 2011 (n = 1,057), 2016 (n = 964), and 2022 (n = 981) among women aged 15–49 who had at least one live birth prior to each survey. The outcome variables for the trend analysis included the uptake of at least four antenatal care (4ANC) visits, institutional deliveries, first postnatal care (PNC) within 48 hours of childbirth, and completion of all these three routine visits. Determinants of institutional delivery, delivery in private health facilities (HFs), cesarian section (CS) deliveries, and uptake of maternity incentive were investigated. Independent variables included socioeconomic characteristics of women and their marginalization status, geographic factors (e.g., province), health system factors (health service use). A multivariable logistic regression analysis was conducted using data from the NDHS 2022 to investigate the associated determinants of outcome variables considering p value Results
Results showed low completion rates (59%) of all three maternity care visits and significant discontinuity of care throughout the maternity continuum (82% 4ANC, and 73% PNC visits). From 2011 to 2022, there were increased institutional deliveries overall (47% to 81%) and CS within private HFs (30% to 51%), alongside a decreasing trend in the utilization of maternity incentives (87% to 78%). Women from Karnali province and those facing multiple forms of marginalization (women form lower wealth status and who belong to marginalized ethnicities (e.g., Dalits or Janajatis), and lack of education had lower odds of institutional delivery. Conversely, women who attended at least 4ANC visits had higher odds of institutional delivery. Higher odds of childbirth in private HFs were identified in the Koshi, Bagmati, Madhesh, and Lumbini provinces, particularly among women with fewer forms of marginalization. In contrast, women who worked as manual labor or those with higher birth orders had lower odds of childbirth in private HFs. Notably, higher odds of delivery by CS were observed among older women, women who were Maithili native speakers, and in provinces where higher delivery in HFs. Furthermore, the odds of uptake of maternity incentives were lower among women who had gave births in private HFs.
ConclusionsMarginalized women experience lower uptake of routine maternity care visits and higher discontinuation along the antenatal through to ponstantal period, creating significant equity gaps in Nepal. The increasing trend of deliveries in private HFs, particularly deliveries by elective CS without maternity incentives could lead to financial hardship while seeking routine maternal health care. Health systems should adopt targeted strategies addressing specific needs, considering intersecting marginalization factors. Key interventions include improving infrastructure, hiring and training local health workers, revising maternity incentives, regulating private HFs, and conducting quality audits, including increasing trends of CS deliveries.
FreshRSS 