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БЕРЕМЕННОСТЬД-ДИМЕРБЕРЕМЕННОСТИ ОСЛОЖНЕНИЯГЕМОСТАЗПОСЛЕРОДОВОЙ ПЕРИОДБИОЛОГИЧЕСКИЕ МАРКЕРЫПРОГНОЗИРОВАНИЕПРЕНАТАЛЬНАЯ ДИАГНОСТИКАД-димер является важным показателем активации системы гемостаза, увеличивающимся в течение физиологически протекающей беременности. В статье рассматриваются вопросы референсных значений Д-димера при беременности и в послеродовом периоде

Financing transformative health systems towards achievement of the health Sustainable Development Goals: a model for projected resource needs in 67 low-income and middle-income countries

The ambitious development agenda of the Sustainable Development Goals (SDGs) requires substantial investments across several sectors, including for SDG 3 (healthy lives and wellbeing). No estimates of the additional resources needed to strengthen comprehensive health service delivery towards the attainment of SDG 3 and universal health coverage in low-income and middle-income countries have been published. Methods We developed a framework for health systems strengthening, within which population-level and individual-level health service coverage is gradually scaled up over time. We developed projections for 67 low-income and middle-income countries from 2016 to 2030, representing 95% of the total population in low-income and middle-income countries. We considered four service delivery platforms, and modelled two scenarios with differing levels of ambition: a progress scenario, in which countries' advancement towards global targets is constrained by their health system's assumed absorptive capacity, and an ambitious scenario, in which most countries attain the global targets. We estimated the associated costs and health effects, including reduced prevalence of illness, lives saved, and increases in life expectancy. We projected available funding by country and year, taking into account economic growth and anticipated allocation towards the health sector, to allow for an analysis of affordability and financial sustainability. Findings We estimate that an additional $274 billion spending on health is needed per year by 2030 to make progress towards the SDG 3 targets (progress scenario), whereas US$371 billion would be needed to reach health system targets in the ambitious scenario—the equivalent of an additional $41 (range 15–102) or$58 (22–167) per person, respectively, by the final years of scale-up. In the ambitious scenario, total health-care spending would increase to a population-weighted mean of $271 per person (range 74–984) across country contexts, and the share of gross domestic product spent on health would increase to a mean of 7·5$20–54 billion per year is projected. Should funds be made available and used as planned, the ambitious scenario would save 97 million lives and significantly increase life expectancy by 3·1–8·4 years, depending on the country profile. Interpretation All countries will need to strengthen investments in health systems to expand service provision in order to reach SDG 3 health targets, but even the poorest can reach some level of universality. In view of anticipated resource constraints, each country will need to prioritise equitably, plan strategically, and cost realistically its own path towards SDG 3 and universal health coverage

Guide posts for investment in primary health care and projected resource needs in 67 low-income and middle-income countries: a modelling study

Primary health care (PHC) is a driving force for advancing towards universal health coverage (UHC). PHC-oriented health systems bring enormous benefits but require substantial financial investments. Here, we aim to present measures for PHC investments and project the associated resource needs.; This modelling study analysed data from 67 low-income and middle-income countries (LMICs). Recognising the variation in PHC services among countries, we propose three measures for PHC, with different scope for included interventions and system strengthening. Measure 1 is centred on public health interventions and outpatient care; measure 2 adds general inpatient care; and measure 3 further adds cross-sectoral activities. Cost components included in each measure were based on the Declaration of Astana, informed by work delineating PHC within health accounts, and finalised through an expert and country validation meeting. We extracted the subset of PHC costs for each measure from WHO's Sustainable Development Goal (SDG) price tag for the 67 LMICs, and projected the associated health impact. Estimates of financial resource need, health workforce, and outpatient visits are presented as PHC investment guide posts for LMICs.; An estimated additional US$200-328 billion per year is required for the various measures of PHC from 2020 to 2030. For measure 1, an additional$32 is needed per capita across the countries. Needs are greatest in low-income countries where PHC spending per capita needs to increase from $25 to$65. Overall health workforces would need to increase from 5·6 workers per 1000 population to 6·7 per 1000 population, delivering an average of 5·9 outpatient visits per capita per year. Increasing coverage of PHC interventions would avert an estimated 60·1 million deaths and increase average life expectancy by 3·7 years. By 2030, these incremental PHC costs would be about 3·3% of projected gross domestic product (GDP; median 1·7%, range 0·1-20·2). In a business-as-usual financing scenario, 25 of 67 countries will have funding gaps in 2030. If funding for PHC was increased by 1-2% of GDP across all countries, as few as 16 countries would see a funding gap by 2030.; The resources required to strengthen PHC vary across countries, depending on demographic trends, disease burden, and health system capacity. The proposed PHC investment guide posts advance discussions around the budgetary implications of strengthening PHC, including relevant system investment needs and achievable health outcomes. Preliminary findings suggest that low-income and lower-middle-income countries would need to at least double current spending on PHC to strengthen their systems and universally provide essential PHC services. Investing in PHC will bring substantial health benefits and build human capital. At country level, PHC interventions need to be explicitly identified, and plans should be made for how to most appropriately reorient the health system towards PHC as a key lever towards achieving UHC and the health-related SDGs.; The Bill & Melinda Gates Foundation

THE EFFECTS OF HUMAN ACTIVITY ON SUMMER HABITAT USE BY MOOSE

Non-fatal disturbance by humans can be analogous to predation risk because animal response to both directly reduces time available for other fitness-increasing activities such as foraging, maternal care, and reproductive behaviour. We studied the effects of human disturbance on moose (Alces alces) by examining hourly locations and movement patterns of 41 GPS-marked moose relative to human activity in central Norway during summer 2006. Our results indicated that moose moved further from inhabited houses and to areas of lower housing density in periods of high human activity as compared to periods of low human activity, and that this behavioural response was closely related to the level of human activity in the area used by moose. We also detected significant differences between responses of males and females with calves; males were more willing to use areas near houses and with higher housing density during periods of low human activity. This differential response was likely due to the higher perceived risks of foraging associated with maternal protection of non-independent offspring. Our study supports the idea that indirect cost associated with human disturbance is analogous to the influence of perceived predation risk on animals. We suggest that such indirect effects on moose should be accounted for when planning human construction and activity in prime moose habitat

Obesity and the Risk of Cryptogenic Ischemic Stroke in Young Adults

Objectives: We examined the association between obesity and early-onset cryptogenic ischemic stroke (CIS) and whether fat distribution or sex altered this association. Materials and Methods: This prospective, multi-center, case-control study included 345 patients, aged 18-49 years, with first-ever, acute CIS. The control group included 345 age-and sex-matched stroke-free individuals. We measured height, weight, waist circumference, and hip circumference. Obesity metrics analyzed included body mass index (BMI), waist-to-hip ratio (WHR), waist-to-stature ratio (WSR), and a body shape index (ABSI). Models were adjusted for age, level of education, vascular risk factors, and migraine with aura. Results: After adjusting for demographics, vascular risk factors, and migraine with aura, the highest tertile of WHR was associated with CIS (OR for highest versus lowest WHR tertile 2.81, 95%CI 1.43-5.51; P=0.003). In sex-specific analyses, WHR tertiles were not associated with CIS. However, using WHO WHR cutoff values (>0.85 for women, >0.90 for men), abdominally obese women were at increased risk of CIS (OR 2.09, 95%CI 1.02-4.27; P=0.045). After adjusting for confounders, WC, BMI, WSR, or ABSI were not associated with CIS. Conclusions: Abdominal obesity measured with WHR was an independent risk factor for CIS in young adults after rigorous adjustment for concomitant risk factors.Peer reviewe

Doppler echocardiography can provide a comprehensive assessment of right ventricular afterload

BACKGROUND: The purpose of this study was to evaluate novel Doppler echocardiographic methods for a comprehensive assessment of right ventricular afterload, including pulmonary artery (PA) mean pressure (PAMP) and the PA pressure waveform. METHODS: The study comprised 109 patients who underwent right-heart catheterization simultaneously (group A, n = 31) with Doppler echocardiography on 35 occasions or nonsimultaneously (group B, n = 78) within 24 hours of Doppler echocardiography. Right ventricular afterload variables were obtained using pulsed Doppler in the PA and continuous Doppler of tricuspid regurgitation. The intervals from QRS to the opening and closing of the pulmonary valve and to the peak velocity of tricuspid regurgitation were measured. PA end-diastolic pressure, PA systolic pressure, and PA notch pressure were calculated. The Doppler-derived pressure curve was separated into 3 parts with fitted second-order curves. RESULTS: Catheter PAMP and Doppler PA systolic pressure in group A were strongly related (R = 0.85). The regression equation from group A (PAMP = 0.65 x Doppler PA systolic pressure - 1.2 mm Hg) was used to calculate PAMP in group B. There was no difference between catheter PAMP (mean, 39 +/- 18 mm Hg; range, 8-95 mm Hg) and Doppler PAMP (mean, 39 +/- 15 mm Hg; range, 12-83 mm Hg) (P = .85). The systolic areas under the curves for catheter and Doppler PAMP in group A were 20 +/- 4.7 and 20 +/- 4.0 mm Hg s, respectively (P = .52), and the diastolic areas were 21 +/- 5.7 and 22 +/- 6.3 mm Hg s, respectively (P = .21). CONCLUSION: A comprehensive assessment of right ventricular afterload that includes PAMP and the PA pressure waveform can be provided by Doppler echocardiography in patients with a wide range of PA pressures and different diagnoses

Diagnostic and referral delay in patients with aortic stenosis is common and negatively affects outcome

OBJECTIVE: Aortic stenosis (AS) patients are often severely symptomatic at the time of aortic valve replacement (AVR). We wanted to investigate doctors' delay and its impact on outcome. DESIGN: AS patients undergoing AVR (n = 422) were included. Clinical and echocardiographic data at the time of diagnosis and preoperatively were noted. The risk of death after AVR was estimated using Poisson regression, incorporating age, gender, coronary artery disease, NYHA III/IV and time on the waiting list for AVR. RESULTS: The age (mean+/-SD) was 71+/-8.6 years, 45% were women, and 48% were in NYHA III/IV. 55% underwent AVR within one year of diagnosis, indicating late diagnosis. The time from referral to AVR (median, range) was 112 (1-803) days. NYHA III/IV independently predicted mortality (hazard ratio 1.76, 95% CI 1.28-2.43, p = 0.0005). The time from referral to AVR influenced the risk of death immediately after operation (p = 0.0083). CONCLUSION: Late diagnosis and late referral for AVR are common, and negatively influence outcome in patients with AS. Delay in surgery after referral increase the mortality immediately after AVR