Аспекты обучения работников первичной сети по вопросам контроля туберкулеза в Молдове

Nicolae Testemiţanu State Medical and Pharmaceutical University, Institute of Phthisiopneumology Chiril Draganiuc, Center of Politics and Analysis in Health, Congresul III al Medicilor de Familie din Republica Moldova, 17–18 mai, 2012, Chişinău, Republica Moldova, Conferinţa Naţională „Maladii bronhoobstructive la copii”, consacrată profesorului universitar, doctor habilitat Victor Gheţeul, 27 aprilie, Chişinău, Republica MoldovaTuberculosis is a public health problem in Moldova. Primary health care (PHC) workers play an important role in control of tuberculosis (TB). The article describes the results of PHC workers training on problems of tuberculosis control. About 3720 PHC workers (1355 family physicians and 2365 nurses) from Moldova have been trained in problems of classic TB and TB/MDR control. Continuous medical education in form of short training courses, based on interactive instructional methods for adults, and focused on development of knowledge, abilities and attitudes of trainees are efficient for preparation of work force of health care system. Training of more than 50% of PHC workers resulted in improvement of TB control at primary care level proved by improved of prevention, case detection, and completion treatment in ambulatory conditions. However, the control of classic tuberculosis improved and global incidence of TB cases decreased over the past seven years, the control of TB/MDR remains a major problem.Туберкулез является проблемой публичного здоровья в Молдове. Работники первичной медицинской сети играют важную роль в контроле туберкулеза. Статья описывает результаты обучения работников первичной медицинской сети по вопросам контроля туберкулеза. Около 3720 работников первичной медицинской сети из Молдовы (1355 семейных врачей и 2365 семейных медицинских сестер) были обучены по вопросам контроля классического и полилекарственного устойчивого (ПЛУ) туберкулеза. Непрерывное медицинское обучение в форме коротких курсов, основанных на интерактивных методах обучения для взрослых, ориентированных на развитие знаний, практических навыков и отношений являются эффективной формой подготовки работников первичной медицинской сети. Обучение более 50% работников первичной медицинской сети повысило эффективность контроля туберкулеза на уровне первичной медицинской сети через улучшение предупреждения, раннего выявления и лечения туберкулеза в амбулаторных условиях. Несмотря на улучшение контроля классического туберкулеза и снижение глобальной заболеваемости туберкулезом, продолжает оставаться важной проблемой контроль ПЛУ туберкулеза

Inferring causal molecular networks: empirical assessment through a community-based effort.

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense

Inferring causal molecular networks: empirical assessment through a community-based effort

Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge that focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results constitute the most comprehensive assessment of causal network inference in a mammalian setting carried out to date and suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess the causal validity of inferred molecular networks

Inferring causal molecular networks: empirical assessment through a community-based effort

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense

Building a tuberculosis-free world: The Lancet Commission on tuberculosis

___Key messages___ The Commission recommends five priority investments to achieve a tuberculosis-free world within a generation. These investments are designed to fulfil the mandate of the UN High Level Meeting on tuberculosis. In addition, they answer

PLAT-O#2 at FloWave: A tank-scale validation of ProteusDS dynamic response software

This is the author accepted manuscript. The final version is available from EWTEC via the link in this record.The motion and mooring tensions of a scaled-down PLAT-O#2 physical model were measured in axial currents at FloWave, Edinburgh. At high flows, the platform ‘squats’ – moves in an arc motion along the upstream lines and about their anchors – to a stable lower depth. The compliance improves load share and survivability in extreme seas. To further investigate the squatting motion, the tested set-up is simulated ‘like-for-like’ in ProteusDS software. The modelled and measured trends, motion and line loads, are comparable. A significant lift force is identified with further work focused on estimating it at sea.The Author would also like to thank Sustainable Marine Energy for initiating, supervising and part funding this research; the IDCORE Sponsors - Energy Technologies Institute (ETI) and Engineering and Physical Sciences Research Council (EPSRC) funding EP/J500847/1;and Dynamic Systems Analysis for support with ProteusDS

Prognostic value of renal function estimating formulas in type 2 cardiorenal syndrome

PMSI CMH „Sfânta Treime”, Chișinau, Republic of Moldova, State University of Medicine and Pharmacy „Nicolae Testemițanu", Chisinau, Republic of Moldova, Congresul consacrat aniversării a 75-a de la fondarea Universității de Stat de Medicină și Farmacie „Nicolae Testemițanu” din Republica Moldova, Ziua internațională a științei pentru pace și dezvoltareIntroduction. Renal function worsening is often observed in chronic heart failure (CHF). Glomerular filtration rate (GFR) is widely accepted as a marker for renal function evaluation, and usually, is estimated with the use of creatinine-based formulas.Purpose.To compare the prognostic value of estimating glomerular filtration rate formulas in type 2 cardiorenal syndrome.Material and methods.A total of 170 consecutive hospitalized CHF patients with intermediate or reduced ejection fraction and renal changes (51.8 % men, age 68.33 ± 1.06 years) were studied. Renal function and GFR) was assessed using the most popular formulas for GFR estimation: the Cockcroft-Gault (CG), the four-variable Simplified Modification of Diet in Renal Disease (sMDRD), CKD-EpidemiologyDiet in Renal Disease (sMDRD), CKD-Epidemiology Collaboration (CKD-EPI) based on serum cystatin-C, creatinine and their combination, and the simple cystatin-C formula.Results.During 6 months follow-up, 29 (16.2%) deaths were recorded. Renal biomarkers and estimated GFR showed different prognostic value. AUC was 0.58 (95%CI:0.47-0.69, P = 0.05) for creatinine, 0.67 (95% CI: 0.56-0.79, P< 0.05) for cystatin-C. Conclusions.GFR is an independent predictor for type 2 cardiorenal syndrome short term mortality. Cystatin-C based formulas for offer improved prognostication in this population, while CG formula, serum cystatin-C and serum creatinine fail to predict short term mortality