121 results on '"Bezabih, M."'
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2. Tagasaste (Chamaecytisus palmensis) leaf supplementation to enhance nutrient intake and production performance of sheep in the Ethiopian highlands
- Author
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Mengesha, M., Bezabih, M., Mekonnen, K., Adie, A., Duncan, A. J., Thorne, P., and Tolera, A.
- Published
- 2017
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3. Nutritional status of cattle grazing natural pasture in the Mid Rift Valley grasslands of Ethiopia measured using plant cuticular hydrocarbons and their isotope enrichment
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Bezabih, M., Pellikaan, W.F., Tolera, A., Khan, N.A., and Hendriks, W.H.
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- 2014
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4. In situ ruminal crude protein degradability of by-products from cereals, oilseeds and animal origin
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Habib, G., Khan, N.A., Ali, M., and Bezabih, M.
- Published
- 2013
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5. Preference of goats (Capra hircus L.) for tanniniferous browse species available in semi‐arid areas in Ethiopia
- Author
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Mengistu, G., Bezabih, M., Hendriks, W. H., and Pellikaan, W. F.
- Published
- 2017
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6. Using n-alkanes and their carbon isotope enrichments (δ13C) to estimate the botanical composition of pasture mixes from the Mid Rift Valley grasslands of Ethiopia
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Bezabih, M., Pellikaan, W.F., and Hendriks, W.H.
- Published
- 2011
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7. Evaluation of n-alkanes and their carbon isotope enrichments (δ13C) as diet composition markers
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Bezabih, M., Pellikaan, W.F., Tolera, A., and Hendriks, W.H.
- Published
- 2011
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- View/download PDF
8. Antimicrobial activity of the methanolic extracts and compounds from Treculia africana and Treculia acuminata (Moraceae)
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Kuete, V., Metuno, R., Ngameni, B., Mbaveng, A.T., Ngandeu, F., Bezabih, M., Etoa, F.-X., Ngadjui, B.T., Abegaz, B.M., and Beng, V.P.
- Published
- 2008
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9. Diagnostic value of Xpert MTB/RIF assay on pleural tissue obtained via closed pleural biopsy among persons with presumptive tuberculous pleuritis
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Yoo, SD, primary, Abebe, G, additional, Yoo, JE, additional, Regassa, D, additional, and Bezabih, M, additional
- Published
- 2021
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10. Fine needle aspiration cytology of suspected tuberculous lymphadenitis
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BEZABIH, M., MARIAM, D. W., and SELASSIE, S. G.
- Published
- 2002
11. Cytological diagnosis of soft tissue tumours
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BEZABIH, M.
- Published
- 2001
12. Variations in food-fodder traits of bread wheat cultivars released for the Ethiopian highlands
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Bezabih, M., primary, Adie, A., additional, Ravi, D., additional, Prasad, K.V.S.V., additional, Jones, C., additional, Abeyo, B., additional, Tadesse, Z., additional, Zegeye, H., additional, Solomon, T., additional, and Blümmel, M., additional
- Published
- 2018
- Full Text
- View/download PDF
13. THE ROLE OF IRRIGATED FODDER PRODUCTION TO SUPPLEMENT THE DIET OF FATTENING SHEEP BY SMALLHOLDERS IN SOUTHERN ETHIOPIA
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Bezabih, M., Duncan, Alan, Adie, A., Mekonnen, K., Khan, N.A., and Thorne, P.
- Subjects
Doyogena sheep ,lcsh:Agriculture ,animal diseases ,supplementation ,lcsh:S ,food and beverages ,manual pumps ,oat-vetch ,lcsh:Agriculture (General) ,protein ,lcsh:S1-972 ,irrigation - Abstract
Feed shortage and poor quality of available feeds are major constraints for livestock production in the highlands of Ethiopia. A trial was conducted to assess if producing irrigated oat-vetch fodder during the dry period could adequately supplement the diet of fattening sheep and generate additional income for smallholders. A total of 14 farmers and 70 sheep (5 per farmer) were involved in the trial. The farmers supplemented their fattening sheep with 200 g of irrigated oat-vetch fodder per day for about 70 days. The mean daily body weight gain of the fattened sheep ranged from 52 to 110 grams. The partial budget analysis revealed that while farmers with good feeding management could earn an additional income in the range of ETB 55 – 161 per sheep, farmers with the lower rate of weight gain could lose up to ETB 58 per sheep unless purchase and sale prices remained constant. Sheep prices do, however, fluctuate, peaking during major holiday periods occurring during the dry season. Therefore, timing of the fattening period is essential to profitability, and supplemental irrigated fodder production offers smallholders opportunities to produce good quality feed and target favourable markets for fattened animals.
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- 2016
14. Preference of goats (Capra hircus L.) for tanniniferous browse species available in semi-arid areas in Ethiopia
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LS Voeding, dFAH AVR, Mengistu, G., Bezabih, M., Hendriks, W. H., Pellikaan, Wilbert F, LS Voeding, dFAH AVR, Mengistu, G., Bezabih, M., Hendriks, W. H., and Pellikaan, Wilbert F
- Published
- 2017
15. Preference of goats (Capra hircusL.) for tanniniferous browse species available in semi-arid areas in Ethiopia
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Mengistu, G., primary, Bezabih, M., additional, Hendriks, W. H., additional, and Pellikaan, W. F., additional
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- 2016
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16. In Situ Assessment of Ruminal Dry Matter Degradation Kinetics and Effective Rumen Degradability of Feedstuffs Originated from Agro-Industrial By-Products
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Habib, G., Ali, M., Bezabih, M., and Nazir Ahmad Khan
- Subjects
crude protein degradability ,Animal Nutrition ,disappearance ,dairy-cows ,WIAS ,silages ,maize ,Diervoeding ,nutritive-value - Abstract
In the tropical Asian countries, information on nutrients availability from various by-products of agro-food industries remains scarce and even less is known about their application in the feed evaluation systems. The objective of this study was to generate renewed data on in situ rumen dry matter (DM) degradability of byproducts from oilseeds, cereal grains, and animal origin, commonly fed to animals in tropical Asian countries. The data were used to derive regression equations to understand the relationships between effective rumen degradability of DM (EDDM) and the rumen degradation characteristics of the by-products. Sixty four samples of five oilseed by-products, seven cereal grain by-products and four animal byproducts were used. From each feed, 4 samples (~1 kg each) were collected from dairy farms (n=1), local markets (n=1) and different agro-industries (n=2). The feeds were incubated in the rumen for 2, 4, 8, 12, 24 and 48 h, using nylon bag technique. There was a significant (P
- Published
- 2013
17. Estimation of feed intake and digestibility in cattle consuming low-quality tropical roughage diets using molasses-based n-alkane boluses
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Bezabih, M., Pellikaan, W.F., Tolera, A., Hendriks, W.H., Advances in Veterinary Medicine, and Dep Gezondheidszorg Landbouwhuisdieren
- Published
- 2012
18. Risk Factors Associated with Invasive Cervical Carcinoma among Women Attending Jimma University Specialized Hospital, Southwest Ethiopia: A Case Control Study
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Bezabih, M, primary, Tessema, F, additional, Sengi, H, additional, and Deribew, A, additional
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- 2015
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19. Chemical composition and in vitro total gas and methane production of forage species from the Mid Rift Valley grasslands of Ethiopia
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Advances in Veterinary Medicine, Dep Gezondheidszorg Landbouwhuisdieren, Bezabih, M., Pellikaan, W.F., Tolera, A., Khan, N.A., Hendriks, W.H., Advances in Veterinary Medicine, Dep Gezondheidszorg Landbouwhuisdieren, Bezabih, M., Pellikaan, W.F., Tolera, A., Khan, N.A., and Hendriks, W.H.
- Published
- 2013
20. Estimation of feed intake and digestibility in cattle consuming low-quality tropical roughage diets using molasses-based n-alkane boluses
- Author
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Advances in Veterinary Medicine, Dep Gezondheidszorg Landbouwhuisdieren, Bezabih, M., Pellikaan, W.F., Tolera, A., Hendriks, W.H., Advances in Veterinary Medicine, Dep Gezondheidszorg Landbouwhuisdieren, Bezabih, M., Pellikaan, W.F., Tolera, A., and Hendriks, W.H.
- Published
- 2012
21. Chemical composition andin vitrototal gas and methane production of forage species from the Mid Rift Valley grasslands of Ethiopia
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Bezabih, M., primary, Pellikaan, W. F., additional, Tolera, A., additional, Khan, N. A., additional, and Hendriks, W. H., additional
- Published
- 2013
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22. Estimation of feed intake and digestibility in cattle consuming low-quality tropical roughage diets using molasses-based n-alkane boluses
- Author
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Bezabih, M., primary, Pellikaan, W.F., additional, Tolera, A., additional, and Hendriks, W.H., additional
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- 2012
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23. Isolation and characterisation of novel antioxidant constituents of Croton zambesicus leaf extract
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Aderogba, M.A., primary, McGaw, L.J., additional, Bezabih, M., additional, and Abegaz, B.M., additional
- Published
- 2011
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24. The characterization, total synthesis and antiprotozoal activities of novel bichalcones from Rhus pyroides
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Shetonde, O, primary, Mdee, L, additional, Bezabih, M, additional, Marobela, K, additional, Mammo, W, additional, and Abegaz, B, additional
- Published
- 2009
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25. Rotenoid derivatives and other constituents of the twigs of Millettia duchesnei De Wild
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Ngandeu, F, primary, Bezabih, M, additional, Ngamga, D, additional, Tchinda, AT, additional, Ngadjui, BT, additional, Abegaz, BM, additional, Dufat, H, additional, and Tillequin, F, additional
- Published
- 2008
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26. Secondary metabolites from Drimiopsis baterrii
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Ngamga, D, primary, Tane, P, additional, Bezabih, M, additional, and Abegaz, BM, additional
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- 2006
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27. Determination of Aetiology of superficial enlarged lymph nodes using fine needle aspiration cytology
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Bezabih, M, primary and Mariam, DW, additional
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- 2004
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28. Body chemical composition and efficiency of energy and nutrient utilization by growing pre-ruminant Saanen goat kids
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Bezabih, M., primary and Pfeffer, E., additional
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- 2003
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29. Chemistry of the Genus Dorstenia
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M. Abegaz, B, primary, T. Ngadjui, B, additional, Dongo, E, additional, and T. Bezabih, M, additional
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- 2000
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30. Chemical composition and in vitro total gas and methane production of forage species from the Mid Rift Valley grasslands of Ethiopia.
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Bezabih, M., Pellikaan, W. F., Tolera, A., Khan, N. A., and Hendriks, W. H.
- Subjects
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GRASSLANDS , *COMPOSITION of forage plants , *GASES from plants , *METHANE , *LAND use , *HUMUS , *IN vitro studies , *RIFTS (Geology) - Abstract
There is increasing interest in sustainable land use in the tropics to optimize animal production while also reducing methane ( CH4) emissions, but information on nutritive value and CH4-emission potential of tropical forage species is limited. Samples of 24 grasses and five other forages were collected during the main rainy season on randomly positioned quadrats in semi-arid grassland in the Mid Rift Valley of Ethiopia. Samples were pooled by species, analysed for chemical composition and incubated with rumen fluid to determine total gas and CH4-emission potentials using a fully automated in vitro gas production apparatus. Organic matter digestibility ( OMD) and metabolizable energy ( ME) contents were calculated from chemical composition and gas production data. Large variability was observed among forages for all nutritional variables considered. The grasses Eleusine multiflora, Pennisetum stramineum, Dactyloctenium aegyptium, Eragrostis aspera, Cenchrus ciliaris and Eragrostis cilianensis showed relatively high OMD (68-72%) and ME values (9·1-10·2 MJ kg−1 dry matter). Melinis repens, E. multiflora and the non-legume forb Zaleya pentandra showed relatively low CH4 to total gas ratios; these species may have potential for use in low CH4-emission forage diets. Acacia tortilis fruits had high content of crude protein and moderate ME values, and may be an ideal feed supplement for the grazing ruminant. Sodium content was below the recommended level for ruminants in all the forage species. Overall, the pasture stand during the main growing season was evaluated as having moderate nutritional quality. [ABSTRACT FROM AUTHOR]
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- 2014
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31. ChemInform Abstract: Isofuranonaphthoquinones and Phenolic and Knipholone Derivatives from the Roots of Bulbine capitata.
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BEZABIH, M., primary, MOTLHAGODI, S., additional, and ABEGAZ, B. M., additional
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- 1998
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32. Evaluation of n-alkanes and their carbon isotope enrichments (δ13C) as diet composition markers.
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Bezabih, M., Pellikaan, W. F., Tolera, A., and Hendriks, W. H.
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ANIMAL feeding ,PLANT cuticle ,HERBIVORES ,CARBON isotopes ,ALKANES ,GRAZING ,BIOMARKERS ,PLANT species - Published
- 2011
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33. Gaboroquinones A and B and 4-O-Demethylknipholone-4-O-β-<SCP>d</SCP>-glucopyranoside, Phenylanthraquinones from the Roots of Bulbine frutescens
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Abegaz, B. M., Bezabih, M., Msuta, T., Brun, R., Menche, D., Muhlbacher, J., and Bringmann, G.
- Abstract
The novel phenylanthraquinones 4-O-demethylknipholone-4-O-β-
d -glucopyranoside (2 ) and gaboroquinones A (3 ) and B (4 ) were isolated from the African medicinal plant Bulbine frutescens. Biaryl2 represents the first phenylanthraquinone glucoside, while3 and4 are the first side-chain-hydroxylated phenylanthraquinones. Their constitutions were determined by spectroscopic analysis, in particular by HMBC, HMQC, and ROESY NMR investigations, and by chemical transformations. The axial configurations were elucidated chemically, by deglucosylation of2 and by side-chain deoxygenation of3 and4 to give the known phenylanthraquinones 4-O-demethylknipholone (5 ), isoknipholone (6 ), and knipholone (1 ), respectively, and chiroptically, by CD investigations. Compounds2 ,3 , and4 showed moderate to good antiplasmodial and antitrypanosomal activities in vitro.- Published
- 2002
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34. Prenylated flavones and phenylpropanoid derivatives from roots of Dorstenia psilurus
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Ngadjui, B. T., Dongo, E., Happi, E. N., Bezabih, M.-T., and Abegaz, B. M.
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- 1998
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35. Isofuranonaphthoquinones and phenolic and knipholone derivatives from the roots of bulbine capitata
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Bezabih, M., Motlhagodi, S., and Abegaz, B. M.
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- 1997
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36. Antimicrobial activity of the crude extracts and five flavonoids from the twigs of Dorstenia barteri (Moraceae)
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Mbaveng AT, Ngameni B, Kuete V, Simo IK, Ambassa P, Roy R, Bezabih M, Etoa F, Ngadjui BT, Abegaz BM, Meyer JJM, Lall N, and Beng VP
- Abstract
The aim of this study was to evaluate the antimicrobial activity of the crude extract of the twigs of Dorstenia barteri (DBT) as well as that of four of the five flavonoids isolated from this extract. Gram-positive bacteria (six species), Gram-negative bacteria (12 species) and fungi (four species) were used. The agar disc diffusion test was used to determine the sensitivity of the tested samples while the well micro-dilution was used to determine the minimal inhibition concentrations (MIC) and the minimal microbicidal concentration (MMC) of the active samples. The results of the disc diffusion assay showed that DBT, isobavachalcone (1), and kanzonol C (4) prevented the growth of all the 22 tested microbial species. Other compounds showed selective activity. The inhibitory activity of the most active compounds namely compounds 1 and 4 was noted on 86.4% of the tested microorganisms and that of 4-hydroxylonchocarpin (3) was observed on 72.7%. This lowest MIC value of 19.06mug/ml was observed with the crude extract on seven microorganisms namely Citrobacter freundii, Enterobacter aerogens, Proteus mirabilis, Proteus vulgaris, Bacillus megaterium, Bacillus stearothermophilus and Candida albicans. For the tested compounds, the lowest MIC value of 0.3mug/ml (on six of the 22 organisms tested) was obtained only with compound 1, which appeared as the most active compound. This lowest MIC value (0.3mug/ml) is about 4-fold lower than that of the RA, indicating the powerful and very interesting antimicrobial potential of isobavachalcone (1). The antimicrobial activities of DBT, as well as that of compounds 1, 3, 4, amentoflavone (5) are being reported for the first time. The overall results provide promising baseline information for the potential use of the crude extracts from DBT as well as some of the isolated compounds in the treatment of bacterial and fungal infections. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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37. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update From the GBD 2019 Study
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Roth, Gregory A, Mensah, George A, Johnson, Catherine O, Addolorato, Giovanni, Ammirati, Enrico, Baddour, Larry M, Barengo, Noël C, Beaton, Andrea Z, Benjamin, Emelia J, Benziger, Catherine P, Bonny, Aimé, Brauer, Michael, Brodmann, Marianne, Cahill, Thomas J, Carapetis, Jonathan, Catapano, Alberico L, Chugh, Sumeet S, Cooper, Leslie T, Coresh, Josef, Criqui, Michael, DeCleene, Nicole, Eagle, Kim A, Emmons-Bell, Sophia, Feigin, Valery L, Fernández-Solà, Joaquim, Fowkes, Gerry, Gakidou, Emmanuela, Grundy, Scott M, He, Feng J, Howard, George, Hu, Frank, Inker, Lesley, Karthikeyan, Ganesan, Kassebaum, Nicholas, Koroshetz, Walter, Lavie, Carl, Lloyd-Jones, Donald, Lu, Hong S, Mirijello, Antonio, Temesgen, Awoke Misganaw, Mokdad, Ali, Moran, Andrew E, Muntner, Paul, Narula, Jagat, Neal, Bruce, Ntsekhe, Mpiko, Moraes de Oliveira, Glaucia, Otto, Catherine, Owolabi, Mayowa, Pratt, Michael, Rajagopalan, Sanjay, Reitsma, Marissa, Ribeiro, Antonio Luiz P, Rigotti, Nancy, Rodgers, Anthony, Sable, Craig, Shakil, Saate, Sliwa-Hahnle, Karen, Stark, Benjamin, Sundström, Johan, Timpel, Patrick, Tleyjeh, Imad M, Valgimigli, Marco, Vos, Theo, Whelton, Paul K, Yacoub, Magdi, Zuhlke, Liesl, Murray, Christopher, Fuster, Valentin, GBD-NHLBI-JACC Global, Burden of, Cardiovascular Diseases, Writing Group, Gregory A, Roth George, A Mensah, Catherine O, Johnson, Giovanni, Addolorato, Enrico, Ammirati, Larry M, Baddour Noel, C Barengo, Andrea, Beaton, Emelia J, Benjamin Catherine, P Benziger, Aime, Bonny, Michael, Brauer, Marianne, Brodmann, Thomas J, Cahill Jonathan, R Carapetis, Alberico L, Catapano, Sumeet, Chugh, Leslie T, Cooper, Josef, Coresh, Michael H, Criqui Nicole, K DeCleene, Kim A, Eagle, Sophia, Emmons-Bell, Valery L, Feigin, Joaquim, Fernández-Sola, F Gerry, R Fowkes, Emmanuela, Gakidou, Scott M, Grundy Feng, J He, George, Howard, Frank, Hu, Lesley, Inker, Ganesan, Karthikeyan, Nicholas J, Kassebaum Walter, J Koroshetz, Carl, Lavie, Donald, Lloyd-Jones, Hong S, Antonio, Mirijello, Awoke T, Misganaw Ali, H Mokdad, Andrew E, Moran, Paul, Muntner, Jagat, Narula, Bruce, Neal, Mpiko, Ntsekhe, Gláucia M, M Oliveira, Catherine M, Otto Mayowa, O Owolabi, Michael, Pratt, Sanjay, Rajagopalan, Marissa B, Reitsma Antonio, Luiz P, Ribeiro Nancy, A Rigotti, Anthony, Rodgers, Craig A, Sable Saate, S Shakil, Karen, Sliwa, Benjamin A, Stark, Johan, Sundström, Patrick, Timpel, Imad I, Tleyjeh, Marco, Valgimigli, Theo, Vos, Paul K, Whelton, Magdi, Yacoub, Liesl J, Zuhlke, Mohsen, Abbasi-Kangevari, Alireza, Abdi, Aidin, Abedi, Victor, Aboyans, Woldu A, Abrha, Eman, Abu-Gharbieh, Abdelrahman I, Abushouk, Dilaram, Acharya, Tim, Adair, Oladimeji M, Adebayo, Zanfina, Ademi, Shailesh M, Advani, Khashayar, Afshari, Ashkan, Afshin, Gina, Agarwal, Pradyumna, Agasthi, Sohail, Ahmad, Sepideh, Ahmadi, Muktar B, Ahmed, Budi, Aji, Yonas, Akalu, Wuraola, Akande-Sholabi, Addis, Aklilu, Chisom J, Akunna, Fares, Alahdab, Ayman, Al-Eyadhy, Khalid F, Alhabib Sheikh, M Alif, Vahid, Alipour, Syed M, Aljunid, François, Alla, Amir, Almasi-Hashiani, Sami, Almustanyir, Rajaa M, Al-Raddadi Adeladza, K Amegah, Saeed, Amini, Arya, Aminorroaya, Hubert, Amu, Dickson A, Amugsi, Robert, Ancuceanu, Deanna, Anderlini, Tudorel, Andrei, Catalina Liliana, Andrei, Alireza, Ansari-Moghaddam, Zelalem A, Anteneh Ippazio, Cosimo Antonazzo, Benny, Antony, Razique, Anwer, Lambert T, Appiah, Jalal, Arabloo, Johan, Ärnlöv, Kurnia D, Artanti, Zerihun, Ataro, Marcel, Ausloos, Leticia, Avila-Burgos, Asma T, Awan Mamaru, A Awoke, Henok T, Ayele Muluken, A Ayza, Samad, Azari, Darshan B, B, Nafiseh, Baheiraei, Atif A, Baig, Ahad, Bakhtiari, Maciej, Banach, Palash C, Banik Emerson, A Baptista, Miguel A, Barboza, Lingkan, Barua, Sanjay, Basu, Neeraj, Bedi, Yannick, Béjot, Derrick A, Bennett Isabela, M Bensenor, Adam E, Berman Yihienew, M Bezabih, Akshaya S, Bhagavathula, Sonu, Bhaskar, Krittika, Bhattacharyya, Ali, Bijani, Boris, Bikbov, Mulugeta M, Birhanu, Archith, Boloor, Luisa C, Brant, Hermann, Brenner, Nikolay I, Briko Zahid, A Butt, Florentino Luciano, Caetano Dos, Santos Leah, E Cahill, Lucero, Cahuana-Hurtado, Luis A, Cámera Ismael, R Campos-Nonato, Carlos, Cantu-Brito, Josip, Car, Juan J, Carrero, Felix, Carvalho, Carlos A, Castañeda-Orjuela, Ferrán, Catalá-López, Ester, Cerin, Jaykaran, Charan, Vijay Kumar, Chattu, Simiao, Chen, Ken L, Chin Jee-Young, J Choi, Dinh-Toi, Chu, Sheng-Chia, Chung, Cirillo, Massimo, Sean, Coffey, Sara, Conti, Vera M, Costa David, K Cundiff, Omid, Dadras, Baye, Dagnew, Xiaochen, Dai, Albertino A, M Damasceno, Lalit, Dandona, Rakhi, Dandona, Kairat, Davletov, Vanessa De, la Cruz-Góngora, Fernando P, De la, Hoz Jan-Walter, De Neve, Edgar, Denova-Gutiérrez, Meseret Derbew, Molla Behailu, T Derseh, Rupak, Desai, Günther, Deuschl, Samath D, Dharmaratne, Meghnath, Dhimal, Raja Ram, Dhungana, Mostafa, Dianatinasab, Daniel, Diaz, Shirin, Djalalinia, Klara, Dokova, Abdel, Douiri, Bruce B, Duncan Andre, R Duraes, Arielle W, Eagan, Sanam, Ebtehaj, Aziz, Eftekhari, Sahar, Eftekharzadeh, Michael, Ekholuenetale, Nevine El, Nahas Islam, Y Elgendy, Muhammed, Elhadi, Shaimaa I, El-Jaafary, Sadaf, Esteghamati, Atkilt E, Etisso, Oghenowede, Eyawo, Ibtihal, Fadhil, Emerito Jose, A Faraon, Pawan S, Faris, Medhat, Farwati, Farshad, Farzadfar, Eduarda, Fernandes, Carlota Fernandez, Prendes, Pietro, Ferrara, Irina, Filip, Florian, Fischer, David, Flood, Takeshi, Fukumoto, Mohamed M, Gad, Shilpa, Gaidhane, Morsaleh, Ganji, Jalaj, Garg, Abadi K, Gebre Birhan, G Gebregiorgis, Kidane Z, Gebregzabiher Gebreamlak, G Gebremeskel, Lemma, Getacher, Abera Getachew, Obsa, Alireza, Ghajar, Ahmad, Ghashghaee, Nermin, Ghith, Simona, Giampaoli, Syed Amir, Gilani Paramjit, S Gill, Richard F, Gillum Ekaterina, V Glushkova, Elena V, Gnedovskaya, Mahaveer, Golechha, Kebebe B, Gonfa Amir, Hossein Goudarzian, Alessandra C, Goulart Jenny, S Guadamuz, Avirup, Guha, Yuming, Guo, Rajeev, Gupta, Vladimir, Hachinski, Nima, Hafezi-Nejad, Teklehaimanot G, Haile Randah, R Hamadeh, Samer, Hamidi, Graeme J, Hankey, Arief, Hargono, Risky K, Hartono, Maryam, Hashemian, Abdiwahab, Hashi, Shoaib, Hassan, Hamid Y, Hassen Rasmus, J Havmoeller, Simon I, Hay, Khezar, Hayat, Golnaz, Heidari, Claudiu, Herteliu, Ramesh, Holla, Mostafa, Hosseini, Mehdi, Hosseinzadeh, Mihaela, Hostiuc, Sorin, Hostiuc, Mowafa, Househ, Junjie, Huang, Ayesha, Humayun, Ivo, Iavicoli, Charles U, Ibeneme Segun, E Ibitoye, Olayinka S, Ilesanmi Irena, M Ilic, Milena D, Ilic, Usman, Iqbal, Seyed Sina, N Irvani, Sheikh Mohammed, Shariful Islam, Rakibul M, Islam, Hiroyasu, Iso, Masao, Iwagami, Vardhmaan, Jain, Tahereh, Javaheri, Sathish Kumar, Jayapal, Shubha, Jayaram, Ranil, Jayawardena, Panniyammakal, Jeemon, Ravi P, Jha Jost, B Jonas, Jitendra, Jonnagaddala, Farahnaz, Joukar, Jacek J, Jozwiak, Mikk, Jürisson, Ali, Kabir, Tanvir, Kahlon, Rizwan, Kalani, Rohollah, Kalhor, Ashwin, Kamath, Ibrahim, Kamel, Himal, Kandel, Amit, Kandel, André, Karch, Ayele Semachew, Kasa Patrick, D M, C Katoto, Gbenga A, Kayode Yousef, S Khader, Mohammad, Khammarnia, Muhammad S, Khan Md, Nuruzzaman Khan, Maseer, Khan, Ejaz A, Khan, Khaled, Khatab, Gulam M, A Kibria, Yun Jin, Kim Gyu, Ri Kim, Ruth W, Kimokoti, Sezer, Kisa, Adnan, Kisa, Mika, Kivimäki, Dhaval, Kolte, Ali, Koolivand, Vladimir A, Korshunov Sindhura, Lakshmi Koulmane, Laxminarayana, Ai, Koyanagi, Kewal, Krishan, Vijay, Krishnamoorthy, Barthelemy Kuate, Defo Burcu, Kucuk Bicer, Vaman, Kulkarni, G Anil, Kumar, Nithin, Kumar, Om P, Kurmi, Dian, Kusuma, Gene F, Kwan Carlo, La Vecchia, Ben, Lacey, Tea, Lallukka, Qing, Lan, Savita, Lasrado, Zohra S, Lassi, Paolo, Lauriola, Wayne R, Lawrence, Avula, Laxmaiah, Kate E, LeGrand, Ming-Chieh, Li, Bingyu, Li, Shanshan, Li, Stephen S, Lim, Lee-Ling, Lim, Hualiang, Lin, Ziqiang, Lin, Ro-Ting, Lin, Xuefeng, Liu, Alan D, Lopez, Stefan, Lorkowski, Paulo A, Lotufo, Alessandra, Lugo, Nirmal K, M, Fabiana, Madotto, Morteza, Mahmoudi, Azeem, Majeed, Reza, Malekzadeh, Ahmad A, Malik Abdullah, A Mamun, Navid, Manafi, Mohammad Ali, Mansournia Lorenzo, G Mantovani, Santi, Martini, Manu R, Mathur, Giampiero, Mazzaglia, Suresh, Mehata, Man Mohan, Mehndiratta, Toni, Meier, Ritesh G, Menezes, Atte, Meretoja, Tomislav, Mestrovic, Bartosz, Miazgowski, Tomasz, Miazgowski, Irmina Maria, Michalek Ted, R Miller, Erkin M, Mirrakhimov, Hamed, Mirzaei, Babak, Moazen, Masoud, Moghadaszadeh, Yousef, Mohammad, Dara K, Mohammad, Shafiu, Mohammed, Mohammed A, Mohammed, Yaser, Mokhayeri, Mariam, Molokhia, Ahmed A, Montasir, Ghobad, Moradi, Rahmatollah, Moradzadeh, Paula, Moraga, Lidia, Morawska, Ilais Moreno, Velásquez, Jakub, Morze, Sumaira, Mubarik, Walter, Muruet, Kamarul Imran, Musa Ahamarshan, J Nagarajan, Mahdi, Nalini, Vinay, Nangia, Atta Abbas, Naqvi Sreenivas, Narasimha Swamy, Bruno R, Nascimento Vinod, C Nayak, Javad, Nazari, Milad, Nazarzadeh, Ruxandra I, Negoi Sandhya, Neupane Kandel, Huong L, T Nguyen, Molly R, Nixon, Bo, Norrving, Jean Jacques, Noubiap Brice, E Nouthe, Christoph, Nowak, Oluwakemi O, Odukoya Felix, A Ogbo, Andrew T, Olagunju, Hans, Orru, Alberto, Ortiz, Samuel M, Ostroff Jagadish, Rao Padubidri, Raffaele, Palladino, Adrian, Pana, Songhomitra, Panda-Jonas, Utsav, Parekh, Eun-Cheol, Park, Mojtaba, Parvizi, Fatemeh Pashazadeh, Kan Urvish, K Patel, Mona, Pathak, Rajan, Paudel, Veincent Christian, F Pepito, Arokiasamy, Perianayagam, Norberto, Perico, Hai Q, Pham, Thomas, Pilgrim, Michael A, Piradov, Farhad, Pishgar, Vivek, Podder, Roman V, Polibin, Akram, Pourshams, Dimas R, A Pribadi, Navid, Rabiee, Mohammad, Rabiee, Amir, Radfar, Alireza, Rafiei, Fakher, Rahim, Vafa, Rahimi-Movaghar, Mohammad Hifz, Ur Rahman, Muhammad Aziz, Rahman Amir, Masoud Rahmani, Ivo, Rakovac, Pradhum, Ram, Sudha, Ramalingam, Juwel, Rana, Priyanga, Ranasinghe, Sowmya J, Rao, Priya, Rathi, Lal, Rawal, Wasiq F, Rawasia, Reza, Rawassizadeh, Giuseppe, Remuzzi, Andre M, N Renzaho, Aziz, Rezapour, Seyed Mohammad, Riahi Ross, L Roberts-Thomson, Leonardo, Roever, Peter, Rohloff, Michele, Romoli, Gholamreza, Roshandel, Godfrey M, Rwegerera, Seyedmohammad, Saadatagah, Maha M, Saber-Ayad, Siamak, Sabour, Simona, Sacco, Masoumeh, Sadeghi, Sahar Saeedi, Moghaddam, Saeed, Safari, Amirhossein, Sahebkar, Sana, Salehi, Hamideh, Salimzadeh, Mehrnoosh, Samaei, Abdallah M, Samy Itamar, S Santos, Milena M, Santric-Milicevic, Nizal, Sarrafzadegan, Arash, Sarveazad, Thirunavukkarasu, Sathish, Monika, Sawhney, Mete, Saylan, Maria I, Schmidt Aletta, E Schutte, Subramanian, Senthilkumaran, Sadaf G, Sepanlou, Feng, Sha, Saeed, Shahabi, Izza, Shahid, Masood A, Shaikh, Mahdi, Shamali, Morteza, Shamsizadeh, Md Shajedur, Rahman Shawon, Aziz, Sheikh, Mika, Shigematsu, Min-Jeong, Shin, Jae Il, Shin, Rahman, Shiri, Ivy, Shiue, Kerem, Shuval, Soraya, Siabani, Tariq J, Siddiqi Diego, A S, Silva Jasvinder, A Singh, Ambrish Singh, Mtech Valentin, Y Skryabin, Anna A, Skryabina, Amin, Soheili, Emma E, Spurlock, Leo, Stockfelt, Stefan, Stortecky, Saverio, Stranges, Rizwan Suliankatchi, Abdulkader, Hooman, Tadbiri, Eyayou G, Tadesse Degena, B Tadesse, Masih, Tajdini, Md, Tariqujjaman, Berhane F, Teklehaimanot, Mohamad-Hani, Temsah, Ayenew K, Tesema, Bhaskar, Thakur, Kavumpurathu R, Thankappan, Rekha, Thapar, Amanda G, Thrift, Binod, Timalsina, Marcello, Tonelli, Mathilde, Touvier, Marcos R, Tovani-Palone, Avnish, Tripathi, Jaya P, Tripathy Thomas, C Truelsen, Guesh M, Tsegay Gebiyaw, W Tsegaye, Nikolaos, Tsilimparis, Biruk S, Tusa, Stefanos, Tyrovolas, Krishna Kishore, Umapathi, Brigid, Unim, Bhaskaran, Unnikrishnan, Usman, Muthiah, Vaduganathan, Pascual R, Valdez Tommi, J Vasankari, Diana Z, Velazquez, Narayanaswamy, Venketasubramanian, Giang T, Vu Isidora, S Vujcic, Yasir, Waheed, Yanzhong, Wang, Fang, Wang, Jingkai, Wei, Robert G, Weintraub Abrha, H Weldemariam, Ronny, Westerman, Andrea S, Winkler Charles, S Wiysonge, Charles D, A Wolfe, Befikadu Legesse, Wubishet, Gelin, Xu, Ali, Yadollahpour, Kazumasa, Yamagishi, Lijing L, Yan, Srikanth, Yandrapalli, Yuichiro, Yano, Hiroshi, Yatsuya, Tomas Y, Yeheyis, Yigizie, Yeshaw, Christopher S, Yilgwan, Naohiro, Yonemoto, Chuanhua, Yu, Hasan, Yusefzadeh, Geevar, Zachariah, Sojib Bin, Zaman Muhammed, S Zaman, Maryam, Zamanian, Ramin, Zand, Alireza, Zandifar, Afshin, Zarghi, Mikhail S, Zastrozhin, Anasthasia, Zastrozhina, Zhi-Jiang, Zhang, Yunquan, Zhang, Wangjian, Zhang, Chenwen, Zhong, Zhiyong, Zou, Yves Miel, H Zuniga, Christopher J, L Murray, Valentin, Fuster, Roth, G, Mensah, G, Johnson, C, Addolorato, G, Ammirati, E, Baddour, L, Barengo, N, Beaton, A, Benjamin, E, Benziger, C, Bonny, A, Brauer, M, Brodmann, M, Cahill, T, Carapetis, J, Catapano, A, Chugh, S, Cooper, L, Coresh, J, Criqui, M, Decleene, N, Eagle, K, Emmons-Bell, S, Feigin, V, Fernandez-Sola, J, Fowkes, G, Gakidou, E, Grundy, S, He, F, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, H, Mirijello, A, Temesgen, A, Mokdad, A, Moran, A, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, A, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundstrom, J, Timpel, P, Tleyjeh, I, Valgimigli, M, Vos, T, Whelton, P, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Fowkes, F, Misganaw, A, Oliveira, G, Sliwa, K, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, W, Abu-Gharbieh, E, Abushouk, A, Acharya, D, Adair, T, Adebayo, O, Ademi, Z, Advani, S, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, M, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, C, Alahdab, F, Al-Eyadhy, A, Alhabib, K, Alif, S, Alipour, V, Aljunid, S, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, R, Amegah, A, Amini, S, Aminorroaya, A, Amu, H, Amugsi, D, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, C, Ansari-Moghaddam, A, Anteneh, Z, Antonazzo, I, Antony, B, Anwer, R, Appiah, L, Arabloo, J, Arnlov, J, Artanti, K, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, A, Awoke, M, Ayele, H, Ayza, M, Azari, S, B, D, Baheiraei, N, Baig, A, Bakhtiari, A, Banach, M, Banik, P, Baptista, E, Barboza, M, Barua, L, Basu, S, Bedi, N, Bejot, Y, Bennett, D, Bensenor, I, Berman, A, Bezabih, Y, Bhagavathula, A, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, M, Boloor, A, Brant, L, Brenner, H, Briko, N, Butt, Z, Caetano dos Santos, F, Cahill, L, Cahuana-Hurtado, L, Camera, L, Campos-Nonato, I, Cantu-Brito, C, Car, J, Carrero, J, Carvalho, F, Castaneda-Orjuela, C, Catala-Lopez, F, Cerin, E, Charan, J, Chattu, V, Chen, S, Chin, K, Choi, J, Chu, D, Chung, S, Cirillo, M, Coffey, S, Conti, S, Costa, V, Cundiff, D, Dadras, O, Dagnew, B, Dai, X, Damasceno, A, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Gongora, V, De la Hoz, F, De Neve, J, Denova-Gutierrez, E, Derbew Molla, M, Derseh, B, Desai, R, Deuschl, G, Dharmaratne, S, Dhimal, M, Dhungana, R, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, B, Duraes, A, Eagan, A, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, I, Elhadi, M, El-Jaafary, S, Esteghamati, S, Etisso, A, Eyawo, O, Fadhil, I, Faraon, E, Faris, P, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, M, Gaidhane, S, Ganji, M, Garg, J, Gebre, A, Gebregiorgis, B, Gebregzabiher, K, Gebremeskel, G, Getacher, L, Obsa, A, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, S, Gill, P, Gillum, R, Glushkova, E, Gnedovskaya, E, Golechha, M, Gonfa, K, Goudarzian, A, Goulart, A, Guadamuz, J, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, T, Hamadeh, R, Hamidi, S, Hankey, G, Hargono, A, Hartono, R, Hashemian, M, Hashi, A, Hassan, S, Hassen, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, C, Ibitoye, S, Ilesanmi, O, Ilic, I, Ilic, M, Iqbal, U, Irvani, S, Islam, S, Islam, R, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, S, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, R, Jonas, J, Jonnagaddala, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, A, Katoto, P, Kayode, G, Khader, Y, Khammarnia, M, Khan, M, Khan, E, Khatab, K, Kibria, G, Kim, Y, Kim, G, Kimokoti, R, Kisa, S, Kisa, A, Kivimaki, M, Kolte, D, Koolivand, A, Korshunov, V, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, G, Kumar, N, Kurmi, O, Kusuma, D, Kwan, G, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, Z, Lauriola, P, Lawrence, W, Laxmaiah, A, Legrand, K, Li, M, Li, B, Li, S, Lim, S, Lim, L, Lin, H, Lin, Z, Lin, R, Liu, X, Lopez, A, Lorkowski, S, Lotufo, P, Lugo, A, M, N, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, A, Mamun, A, Manafi, N, Mansournia, M, Mantovani, L, Martini, S, Mathur, M, Mazzaglia, G, Mehata, S, Mehndiratta, M, Meier, T, Menezes, R, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mirrakhimov, E, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, D, Mohammed, S, Mohammed, M, Mokhayeri, Y, Molokhia, M, Montasir, A, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velasquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, K, Nagarajan, A, Nalini, M, Nangia, V, Naqvi, A, Narasimha Swamy, S, Nascimento, B, Nayak, V, Nazari, J, Nazarzadeh, M, Negoi, R, Neupane Kandel, S, Nguyen, H, Nixon, M, Norrving, B, Noubiap, J, Nouthe, B, Nowak, C, Odukoya, O, Ogbo, F, Olagunju, A, Orru, H, Ortiz, A, Ostroff, S, Padubidri, J, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E, Parvizi, M, Pashazadeh Kan, F, Patel, U, Pathak, M, Paudel, R, Pepito, V, Perianayagam, A, Perico, N, Pham, H, Pilgrim, T, Piradov, M, Pishgar, F, Podder, V, Polibin, R, Pourshams, A, Pribadi, D, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, M, Rahman, M, Rahmani, A, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, S, Rathi, P, Rawal, L, Rawasia, W, Rawassizadeh, R, Remuzzi, G, Renzaho, A, Rezapour, A, Riahi, S, Roberts-Thomson, R, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, G, Saadatagah, S, Saber-Ayad, M, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, A, Santos, I, Santric-Milicevic, M, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, M, Schutte, A, Senthilkumaran, S, Sepanlou, S, Sha, F, Shahabi, S, Shahid, I, Shaikh, M, Shamali, M, Shamsizadeh, M, Shawon, M, Sheikh, A, Shigematsu, M, Shin, M, Shin, J, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, T, Silva, D, Singh, J, Mtech, A, Skryabin, V, Skryabina, A, Soheili, A, Spurlock, E, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, E, Tadesse, D, Tajdini, M, Tariqujjaman, M, Teklehaimanot, B, Temsah, M, Tesema, A, Thakur, B, Thankappan, K, Thapar, R, Thrift, A, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, M, Tripathi, A, Tripathy, J, Truelsen, T, Tsegay, G, Tsegaye, G, Tsilimparis, N, Tusa, B, Tyrovolas, S, Umapathi, K, Unim, B, Unnikrishnan, B, Usman, M, Vaduganathan, M, Valdez, P, Vasankari, T, Velazquez, D, Venketasubramanian, N, Vu, G, Vujcic, I, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, R, Weldemariam, A, Westerman, R, Winkler, A, Wiysonge, C, Wolfe, C, Wubishet, B, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, L, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, T, Yeshaw, Y, Yilgwan, C, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, S, Zaman, M, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, M, Zastrozhina, A, Zhang, Z, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, Y, Roth, Gregory A, Mensah, George A, Johnson, Catherine O, Addolorato, Giovanni, Ammirati, Enrico, Baddour, Larry M, Barengo, Noël C, Beaton, Andrea Z, Benjamin, Emelia J, Benziger, Catherine P, Bonny, Aimé, Brauer, Michael, Brodmann, Marianne, Cahill, Thomas J, Carapetis, Jonathan, Catapano, Alberico L, Chugh, Sumeet S, Cooper, Leslie T, Coresh, Josef, Criqui, Michael, Decleene, Nicole, Eagle, Kim A, Emmons-Bell, Sophia, Feigin, Valery L, Fernández-Solà, Joaquim, Fowkes, Gerry, Gakidou, Emmanuela, Grundy, Scott M, Feng J, He, Howard, George, Frank, Hu, Inker, Lesley, Karthikeyan, Ganesan, Kassebaum, Nichola, Koroshetz, Walter, Lavie, Carl, Lloyd-Jones, Donald, Hong S, Lu, Mirijello, Antonio, Temesgen, Awoke Misganaw, Mokdad, Ali, Moran, Andrew E, Muntner, Paul, Narula, Jagat, Neal, Bruce, Ntsekhe, Mpiko, Moraes de Oliveira, Glaucia, Otto, Catherine, Owolabi, Mayowa, Pratt, Michael, Rajagopalan, Sanjay, Reitsma, Marissa, Ribeiro, Antonio Luiz P, Rigotti, Nancy, Rodgers, Anthony, Sable, Craig, Shakil, Saate, Sliwa-Hahnle, Karen, Stark, Benjamin, Sundström, Johan, Timpel, Patrick, Tleyjeh, Imad M, Valgimigli, Marco, Vos, Theo, Whelton, Paul K, Yacoub, Magdi, Zuhlke, Liesl, Murray, Christopher, Fuster, Valentin, GBD-NHLBI-JACC, Global, Burden, Of, Cardiovascular, Disease, Writing, Group, Gregory, A, Roth, George, Mensah, A, Catherine, O, Johnson, Giovanni, Addolorato, Enrico, Ammirati, Larry, M, Baddour, Noel, Barengo, C, Andrea, Beaton, Emelia, J, Benjamin, Catherine, Benziger, P, Aime, Bonny, Michael, Brauer, Marianne, Brodmann, Thomas, J, Cahill, Jonathan, Carapetis, R, Alberico, L, Catapano, Sumeet, Chugh, Leslie, T, Cooper, Josef, Coresh, Michael, H, Criqui, Nicole, Decleene, K, Kim, A, Eagle, Sophia, Emmons-Bell, Valery, L, Feigin, Joaquim, Fernández-Sola, Gerry, F, Fowkes, R, Emmanuela, Gakidou, Scott, M, Grundy, Feng, J, He, George, Howard, Lesley, Inker, Ganesan, Karthikeyan, Nicholas, J, Kassebaum, Walter, Koroshetz, J, Carl, Lavie, Donald, Lloyd-Jone, Hong, S, Lu, Antonio, Mirijello, Awoke, T, Misganaw, Ali, Mokdad, H, Andrew, E, Moran, Paul, Muntner, Jagat, Narula, Bruce, Neal, Mpiko, Ntsekhe, Gláucia, M, Oliveira, M, Catherine, M, Otto, Mayowa, Owolabi, O, Michael, Pratt, Sanjay, Rajagopalan, Marissa, B, Reitsma, Antonio, Luiz, P, Ribeiro, Nancy, Rigotti, A, Anthony, Rodger, Craig, A, Sable, Saate, Karen, Sliwa, Benjamin, A, Stark, Johan, Sundström, Patrick, Timpel, Imad, I, Tleyjeh, Marco, Valgimigli, Theo, Vo, Paul, K, Whelton, Magdi, Yacoub, Liesl, J, Zuhlke, Mohsen, Abbasi-Kangevari, Alireza, Abdi, Aidin, Abedi, Victor, Aboyan, Woldu, A, Abrha, Eman, Abu-Gharbieh, Abdelrahman, I, Abushouk, Dilaram, Acharya, Tim, Adair, Oladimeji, M, Adebayo, Zanfina, Ademi, Shailesh, M, Advani, Khashayar, Afshari, Ashkan, Afshin, Gina, Agarwal, Pradyumna, Agasthi, Sohail, Ahmad, Sepideh, Ahmadi, Muktar, B, Ahmed, Budi, Aji, Yonas, Akalu, Wuraola, Akande-Sholabi, Addis, Aklilu, Chisom, J, Akunna, Fares, Alahdab, Ayman, Al-Eyadhy, Khalid, F, Alhabib, Sheikh, Alif, M, Vahid, Alipour, Syed, M, Aljunid, François, Alla, Amir, Almasi-Hashiani, Sami, Almustanyir, Rajaa, M, Al-Raddadi, Adeladza, Amegah, K, Saeed, Amini, Arya, Aminorroaya, Hubert, Amu, Dickson, A, Amugsi, Robert, Ancuceanu, Deanna, Anderlini, Tudorel, Andrei, Catalina, Liliana, Andrei, Alireza, Ansari-Moghaddam, Zelalem, A, Anteneh, Ippazio, Cosimo, Antonazzo, Benny, Antony, Razique, Anwer, Lambert, T, Appiah, Jalal, Arabloo, Johan, Ärnlöv, Kurnia, D, Artanti, Zerihun, Ataro, Marcel, Ausloo, Leticia, Avila-Burgo, Asma, T, Awan, Mamaru, Awoke, A, Henok, T, Ayele, Muluken, Ayza, A, Samad, Azari, Darshan, B, B, Nafiseh, Baheiraei, Atif, A, Baig, Ahad, Bakhtiari, Maciej, Banach, Palash, C, Banik, Emerson, Baptista, A, Miguel, A, Barboza, Lingkan, Barua, Sanjay, Basu, Neeraj, Bedi, Yannick, Béjot, Derrick, A, Bennett, Isabela, Bensenor, M, Adam, E, Berman, Yihienew, Bezabih, M, Akshaya, S, Bhagavathula, Sonu, Bhaskar, Krittika, Bhattacharyya, Ali, Bijani, Boris, Bikbov, Mulugeta, M, Birhanu, Archith, Boloor, Luisa, C, Brant, Hermann, Brenner, Nikolay, I, Briko, Zahid, Butt, A, Florentino, Luciano, Caetano, Do, Santos, Leah, Cahill, E, Lucero, Cahuana-Hurtado, Luis, A, Cámera, Ismael, Campos-Nonato, R, Carlos, Cantu-Brito, Josip, Car, Juan, J, Carrero, Felix, Carvalho, Carlos, A, Castañeda-Orjuela, Ferrán, Catalá-López, Ester, Cerin, Jaykaran, Charan, Vijay, Kumar, Chattu, Simiao, Chen, Ken, L, Chin, Jee-Young, Dinh-Toi, Chu, Sheng-Chia, Chung, Cirillo, Massimo, Sean, Coffey, Sara, Conti, Vera, M, Costa, David, Cundiff, K, Omid, Dadra, Baye, Dagnew, Xiaochen, Dai, Albertino, A, Damasceno, M, Lalit, Dandona, Rakhi, Dandona, Kairat, Davletov, Vanessa, De, Cruz-Góngora, La, Fernando, P, De, La, Hoz, Jan-Walter, Neve, De, Edgar, Denova-Gutiérrez, Meseret, Derbew, Molla, Behailu, Derseh, T, Rupak, Desai, Günther, Deuschl, Samath, D, Dharmaratne, Meghnath, Dhimal, Raja, Ram, Dhungana, Mostafa, Dianatinasab, Daniel, Diaz, Shirin, Djalalinia, Klara, Dokova, Abdel, Douiri, Bruce, B, Duncan, Andre, Duraes, R, Arielle, W, Eagan, Sanam, Ebtehaj, Aziz, Eftekhari, Sahar, Eftekharzadeh, Michael, Ekholuenetale, Nevine, El, Nahas, Islam, Elgendy, Y, Muhammed, Elhadi, Shaimaa, I, El-Jaafary, Sadaf, Esteghamati, Atkilt, E, Etisso, Oghenowede, Eyawo, Ibtihal, Fadhil, Emerito, Jose, Faraon, A, Pawan, S, Faris, Medhat, Farwati, Farshad, Farzadfar, Eduarda, Fernande, Carlota, Fernandez, Prendes, Pietro, Ferrara, Irina, Filip, Florian, Fischer, David, Flood, Takeshi, Fukumoto, Mohamed, M, Gad, Shilpa, Gaidhane, Morsaleh, Ganji, Jalaj, Garg, Abadi, K, Gebre, Birhan, Gebregiorgis, G, Kidane, Z, Gebregzabiher, Gebreamlak, Lemma, Getacher, Abera, Getachew, Obsa, Alireza, Ghajar, Ahmad, Ghashghaee, Nermin, Ghith, Simona, Giampaoli, Syed, Amir, Gilani, Paramjit, Gill, S, Richard, F, Gillum, Ekaterina, Glushkova, V, Elena, V, Gnedovskaya, Mahaveer, Golechha, Kebebe, B, Gonfa, Amir, Hossein, Goudarzian, Alessandra, C, Goulart, Jenny, Guadamuz, S, Avirup, Guha, Yuming, Guo, Rajeev, Gupta, Vladimir, Hachinski, Nima, Hafezi-Nejad, Teklehaimanot, G, Haile, Randah, Samer, Hamidi, Graeme, J, Hankey, Arief, Hargono, Risky, K, Hartono, Maryam, Hashemian, Abdiwahab, Hashi, Shoaib, Hassan, Hamid, Y, Hassen, Rasmu, Havmoeller, J, Simon, I, Hay, Khezar, Hayat, Golnaz, Heidari, Claudiu, Herteliu, Ramesh, Holla, Mostafa, Hosseini, Mehdi, Hosseinzadeh, Mihaela, Hostiuc, Sorin, Hostiuc, Mowafa, Househ, Junjie, Huang, Ayesha, Humayun, Iavicoli, Ivo, Charles, U, Ibeneme, Segun, Ibitoye, E, Olayinka, S, Ilesanmi, Irena, Milena, D, Ilic, Usman, Iqbal, Seyed, Sina, Irvani, N, Sheikh, Mohammed, Shariful, Islam, Rakibul, M, Islam, Hiroyasu, Iso, Masao, Iwagami, Vardhmaan, Jain, Tahereh, Javaheri, Sathish, Kumar, Jayapal, Shubha, Jayaram, Ranil, Jayawardena, Panniyammakal, Jeemon, Ravi, P, Jha, Jost, Jonas, B, Jitendra, Jonnagaddala, Farahnaz, Joukar, Jacek, J, Jozwiak, Mikk, Jürisson, Ali, Kabir, Tanvir, Kahlon, Rizwan, Kalani, Rohollah, Kalhor, Ashwin, Kamath, Ibrahim, Kamel, Himal, Kandel, Amit, Kandel, André, Karch, Ayele, Semachew, Kasa, Patrick, D, M, Katoto, C, Gbenga, A, Kayode, Yousef, Khader, S, Mohammad, Khammarnia, Muhammad, S, Khan, Md, Nuruzzaman, Khan, Maseer, Khan, Ejaz, A, Khan, Khaled, Khatab, Gulam, M, Kibria, A, Yun, Jin, Kim, Gyu, Kim, Ri, Ruth, W, Kimokoti, Sezer, Kisa, Adnan, Kisa, Mika, Kivimäki, Dhaval, Kolte, Ali, Koolivand, Vladimir, A, Korshunov, Sindhura, Lakshmi, Koulmane, Laxminarayana, Koyanagi, Ai, Kewal, Krishan, Vijay, Krishnamoorthy, Barthelemy, Kuate, Defo, Burcu, Kucuk, Bicer, Vaman, Kulkarni, Anil, G, Kumar, Nithin, Kumar, Om, P, Kurmi, Dian, Kusuma, Gene, F, Kwan, Carlo, Vecchia, La, Ben, Lacey, Tea, Lallukka, Qing, Lan, Savita, Lasrado, Zohra, S, Lassi, Paolo, Lauriola, Wayne, R, Lawrence, Avula, Laxmaiah, Kate, E, Legrand, Ming-Chieh, Li, Bingyu, Li, Shanshan, Li, Stephen, S, Lim, Lee-Ling, Lim, Hualiang, Lin, Ziqiang, Lin, Ro-Ting, Lin, Xuefeng, Liu, Alan, D, Lopez, Stefan, Lorkowski, Paulo, A, Lotufo, Alessandra, Lugo, Nirmal, K, M, Fabiana, Madotto, Morteza, Mahmoudi, Azeem, Majeed, Reza, Malekzadeh, Ahmad, A, Malik, Abdullah, Navid, Manafi, Mohammad, Ali, Mansournia, Lorenzo, Mantovani, G, Santi, Martini, Manu, R, Mathur, Giampiero, Mazzaglia, Suresh, Mehata, Man, Mohan, Mehndiratta, Toni, Meier, Ritesh, G, Menezes, Atte, Meretoja, Tomislav, Mestrovic, Bartosz, Miazgowski, Tomasz, Miazgowski, Irmina, Maria, Michalek, Ted, Miller, R, Erkin, M, Mirrakhimov, Hamed, Mirzaei, Babak, Moazen, Masoud, Moghadaszadeh, Yousef, Mohammad, Dara, K, Mohammad, Shafiu, Mohammed, Mohammed, A, Mohammed, Yaser, Mokhayeri, Mariam, Molokhia, Ahmed, A, Montasir, Ghobad, Moradi, Rahmatollah, Moradzadeh, Paula, Moraga, Lidia, Morawska, Ilais, Moreno, Velásquez, Jakub, Morze, Sumaira, Mubarik, Walter, Muruet, Kamarul, Imran, Musa, Ahamarshan, Nagarajan, J, Mahdi, Nalini, Vinay, Nangia, Atta, Abba, Naqvi, Sreeniva, Narasimha, Swamy, Bruno, R, Nascimento, Vinod, Nayak, C, Javad, Nazari, Milad, Nazarzadeh, Ruxandra, I, Negoi, Sandhya, Neupane, Kandel, Huong, L, Nguyen, T, Molly, R, Nixon, Norrving, Bo, Jean, Jacque, Noubiap, Brice, Nouthe, E, Christoph, Nowak, Oluwakemi, O, Odukoya, Felix, Ogbo, A, Andrew, T, Olagunju, Hans, Orru, Alberto, Ortiz, Samuel, M, Ostroff, Jagadish, Rao, Padubidri, Palladino, Raffaele, Adrian, Pana, Songhomitra, Panda-Jona, Utsav, Parekh, Eun-Cheol, Park, Mojtaba, Parvizi, Fatemeh, Pashazadeh, Kan, Urvish, Patel, K, Mona, Pathak, Rajan, Paudel, Veincent, Christian, Pepito, F, Arokiasamy, Perianayagam, Norberto, Perico, Hai, Q, Pham, Thomas, Pilgrim, Michael, A, Piradov, Farhad, Pishgar, Vivek, Podder, Roman, V, Polibin, Akram, Poursham, Dimas, R, Pribadi, A, Navid, Rabiee, Mohammad, Rabiee, Amir, Radfar, Alireza, Rafiei, Fakher, Rahim, Vafa, Rahimi-Movaghar, Mohammad, Hifz, Rahman, Ur, Muhammad, Aziz, Rahman, Amir, Masoud, Rahmani, Ivo, Rakovac, Pradhum, Ram, Sudha, Ramalingam, Juwel, Rana, Priyanga, Ranasinghe, Sowmya, J, Rao, Priya, Rathi, Lal, Rawal, Wasiq, F, Rawasia, Reza, Rawassizadeh, Giuseppe, Remuzzi, Andre, M, Renzaho, N, Aziz, Rezapour, Seyed, Mohammad, Riahi, Ro, Roberts-Thomson, L, Leonardo, Roever, Peter, Rohloff, Michele, Romoli, Gholamreza, Roshandel, Godfrey, M, Rwegerera, Seyedmohammad, Saadatagah, Maha, M, Saber-Ayad, Siamak, Sabour, Simona, Sacco, Masoumeh, Sadeghi, Sahar, Saeedi, Moghaddam, Saeed, Safari, Amirhossein, Sahebkar, Sana, Salehi, Hamideh, Salimzadeh, Mehrnoosh, Samaei, Abdallah, M, Samy, Itamar, Santos, S, Milena, M, Santric-Milicevic, Nizal, Sarrafzadegan, Arash, Sarveazad, Thirunavukkarasu, Sathish, Monika, Sawhney, Mete, Saylan, Maria, I, Schmidt, Aletta, Schutte, E, Subramanian, Senthilkumaran, Sadaf, G, Sepanlou, Feng, Sha, Saeed, Shahabi, Izza, Shahid, Masood, A, Shaikh, Mahdi, Shamali, Morteza, Shamsizadeh, Shajedur, Md, Rahman, Shawon, Aziz, Sheikh, Mika, Shigematsu, Min-Jeong, Shin, Jae, Il, Shin, Rahman, Shiri, Ivy, Shiue, Kerem, Shuval, Soraya, Siabani, Tariq, J, Siddiqi, Diego, A, S, Silva, Jasvinder, Singh, A, Ambrish, Singh, Mtech, Valentin, Skryabin, Y, Anna, A, Skryabina, Amin, Soheili, Emma, E, Spurlock, Leo, Stockfelt, Stefan, Stortecky, Saverio, Strange, Rizwan, Suliankatchi, Abdulkader, Hooman, Tadbiri, Eyayou, G, Tadesse, Degena, Tadesse, B, Masih, Tajdini, Tariqujjaman, Md, Berhane, F, Teklehaimanot, Mohamad-Hani, Temsah, Ayenew, K, Tesema, Bhaskar, Thakur, Kavumpurathu, R, Thankappan, Rekha, Thapar, Amanda, G, Thrift, Binod, Timalsina, Marcello, Tonelli, Mathilde, Touvier, Marcos, R, Tovani-Palone, Avnish, Tripathi, Jaya, P, Tripathy, Thoma, Truelsen, C, Guesh, M, Tsegay, Gebiyaw, Tsegaye, W, Nikolaos, Tsilimpari, Biruk, S, Tusa, Stefanos, Tyrovola, Krishna, Kishore, Umapathi, Brigid, Unim, Bhaskaran, Unnikrishnan, Usman, Muthiah, Vaduganathan, Pascual, R, Valdez, Tommi, Vasankari, J, Diana, Z, Velazquez, Narayanaswamy, Venketasubramanian, Giang, T, Isidora, Vu, Vujcic, S, Yasir, Waheed, Yanzhong, Wang, Fang, Wang, Jingkai, Wei, Robert, G, Weintraub, Abrha, Weldemariam, H, Ronny, Westerman, Andrea, S, Winkler, Charle, Wiysonge, S, Charles, D, Wolfe, A, Befikadu, Legesse, Wubishet, Gelin, Xu, Ali, Yadollahpour, Kazumasa, Yamagishi, Lijing, L, Yan, Srikanth, Yandrapalli, Yuichiro, Yano, Hiroshi, Yatsuya, Tomas, Y, Yeheyis, Yigizie, Yeshaw, Christopher, S, Yilgwan, Naohiro, Yonemoto, Chuanhua, Yu, Hasan, Yusefzadeh, Geevar, Zachariah, Sojib, Bin, Zaman, Muhammed, Maryam, Zamanian, Ramin, Zand, Alireza, Zandifar, Afshin, Zarghi, Mikhail, S, Zastrozhin, Anasthasia, Zastrozhina, Zhi-Jiang, Zhang, Yunquan, Zhang, Wangjian, Zhang, Chenwen, Zhong, Zhiyong, Zou, Yves, Miel, Zuniga, H, Christopher, J, Murray, L, and Valentin, Fuster
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cardiovascular disease ,global health ,health policy ,population health - Abstract
Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.
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- 2020
38. Prevalence of anti-seizure medication nonadherence and its associated factors, among people with epilepsy in North Shewa, Ethiopia, 2021.
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Solomon Y, Teshome Y, Ejigu S, and Bezabih M
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- Humans, Female, Male, Ethiopia epidemiology, Prevalence, Cross-Sectional Studies, Medication Adherence, Seizures drug therapy, Seizures epidemiology, Epilepsy drug therapy, Epilepsy epidemiology, Epilepsy psychology
- Abstract
Background: Epilepsy is a worldwide neurologic illness, characterized by recurrent unprovoked epileptic seizures and can affect people of all age groups. Patients who are receiving drug therapy for chronic diseases, such as epilepsy, must fit complex medication regimens into their everyday routines. Managing medication schedules may pose a significant burden on patients' lives. Anti-seizure medication choices should therefore be tailored to patients' factors that may limit medication use. The study aimed to determine the prevalence and Predictors of anti-seizure medication nonadherence among patients with epilepsy., Methodology: An institutional-based cross-sectional study was conducted among 352 people with epilepsy who were selected by systematic random sampling method at government hospitals in North Shewa Ethiopia. Data were collected by reviewing patients' charts and interviewing people with epilepsy by using structured and pretested questionnaires. Data obtained were encoded into EPI-INFO software and exported to SPSS version 25 for analysis. Logistic regression was employed to assess independent factors associated with medication non-adherence., Result: The prevalence of anti-seizure medication non-adherence was 40%. Being female [AOR = 3.37, 95%, CI: 1.84, 6.18], Divorced [AOR = 9.13, 95%, CI: 1.80, 46.34], Being jobless [AOR = 7.33, 95%, CI: 3.24, 16.56], Perceived poor social support [AOR = 2.73, 95%, CI: 1.28, 5.82], perceived stigma [AOR = 5.07, 95%, CI: 2.40, 10.68], polytherapy [AOR = 2.23, 95%, CI: 1.06, 4.71], drug side effects[AOR = 6.03, 95%, CI: 3.17, 11.45], buying medications [AOR = 5.81, 95%, CI: 3.63,16.79] and duration of stay on treatment [AOR = 4.31, 95%, CI: 1.863, 9.97] were significant predictors of anti-seizure medication non-adherence., Conclusion: Non-adherence to anti-seizure medication among people with epilepsy in the study area was relatively higher as compared with study reports from different parts of the country. Health and clinical, socio-economy, and patients' psychological mindset were among the determinant factors affecting the consistency of epilepsy treatment adherence. Enhanced professional, health education for patients as well as for society and financial support, are basic pillars to reduce the constraints of effective treatment., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflict of interest. The raw data supporting the conclusion of this article will be made available by the corresponding author, with reasonable requests., (Copyright © 2023 Elsevier Inc. All rights reserved.)
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- 2023
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39. Clinicopathological Features of Invasive Breast Cancer: A Five-Year Retrospective Study in Southern and South-Western Ethiopia.
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Belachew EB, Desta AF, Deneke DB, Fenta BD, Alem AT, Abafogi AK, Lukas FY, Bezabih M, Sewasew DT, Kantelhardt EJ, Tessema TS, and Howe R
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Background: Breast cancer (BC) is the most common type of cancer in Ethiopia. The incidence of BC is also rising, but the exact figure is still poorly known. Therefore, this study was conducted to address the gap in epidemiological data on BC in southern and southwestern Ethiopia. Materials and Methods: This is a five-year (2015-2019) retrospective study. The demographic and clinicopathological data were collected from biopsy reports of different kinds of breast carcinomas in the pathology department of Jimma University Specialized Hospital and Hawassa University Specialized Referral Hospital. Histopathological grades and stages were conducted using Nottingham grading and TNM staging system, respectively. Collected data were entered and analyzed using SPSS Version-20 software. Results: The mean age of patients at diagnosis was 42.27 (SD = 13.57) years. The pathological stage of most BC patients was stage III, and most of them had tumor sizes greater than 5 cm. Most patients had moderately differentiated tumor grade, and mastectomy was the most common type of surgery at the time of diagnosis. Invasive ductal carcinoma was the most common histological type of BC, followed by invasive lobular carcinoma. Lymph node involvement was seen in 60.5% of cases. Lymph node involvement was associated with tumor size (χ
2 = 8.55, p = 0.033) and type of surgery (χ2 = 39.69, p < 0.001). Conclusions: This study showed that BC patients in southern and southwestern Ethiopia displayed advanced pathological stages, relatively young age at diagnosis, and predominant invasive ductal carcinoma histological patterns.- Published
- 2023
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40. Effect of supplementation of oilseeds co-products on production performance and fatty acids composition of Beetal goats.
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Khan NA, Khan K, Khan RU, Khan H, Khan R, Bezabih M, and Akbar A
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- Animals, Female, Pregnancy, Lactation, Lactose, Corn Oil, Milk, Dietary Supplements, Body Weight, Goats, Fatty Acids
- Abstract
This study evaluated the effect of different oilseed co-product supplementations on feed intake, nutrient digestibility, N retention, yields of milk and milk constituents, and milk fatty acid (FA) profile of Beetal goats. In the lactation trial, thirty-six lactating multiparous Beetal goats (45 ± 2.04 kg; 15 ± 2.3 days in milk) were assigned to four experimental rations according to randomized complete block design. The blocks were balanced for daily milk yield, parity, and body weight. The goats were either fed a maize silage and wheat straw-based basal ration ad libitum (control) or the control ration was supplemented with cotton seed cake, mustard seed cake, or maize oil cake on an iso-N basis. At the end of lactation trial, four goats (44 ± 0.8 kg BW; producing 1250 ± 110 g milk/day) were selected and moved to individual metabolism crates for a digestibility and N balance experiment, using a Latin square design (4 × 4). Supplementation of the co-products increased intakes of forage mixture (P = 0.002), total dry matter (DM; P < 0.001), neutral detergent fibre (NDF; P = 0.003), and crude protein (CP; P < 0.001). The additional N supplied by the co-products increased (P < 0.001) N retention, yields of milk, fat, protein, and lactose. Further comparison of the rations supplemented with the co-products revealed that the greatest (P < 0.05) increase in yields of milk (240 g/day), milk protein (11.6 g/day), fats (16.3 g/day), and lactose (11.2 g/day) was recorded for maize oil cake, as compared to the control. Except C8:0, supplementation of the co-products decreased (P < 0.01) the contents of all de novo-synthesized saturated FAs (SFAs) and increased (P < 0.001) the contents of health beneficial C18:1n-9, C18:1 tans-11, C18:2n-6, C18:3n-3, C20:2n-6, C20:5n3, and total unsaturated FAs in milk fat. Our findings demonstrated that the oilseed co-product inclusion in dairy goat rations significantly improves forage biomass utilization, yields of milk and milk constituents, and milk FAs' profile, with the largest impact being observed for maize oil cake., (© 2022. The Author(s), under exclusive licence to Springer Nature B.V.)
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- 2022
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41. Effect of processed sweet lupin (Lupinus angustifolius) grain supplementation on growth performance and socioeconomic feasibility of Doyogena sheep in Ethiopia.
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Tilaye H, Asmare B, Meheret F, Bezabih M, and Jane W
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- Animal Feed analysis, Animal Nutritional Physiological Phenomena, Animals, Detergents pharmacology, Dietary Supplements, Digestion, Ethiopia, Feasibility Studies, Sheep, Socioeconomic Factors, Water, Lupinus
- Abstract
Background: The experiment evaluated the effect of supplementing sheep fed natural pasture hay withprocessed sweet lupin grain on growth performance and its economic feasibility. The finding revealed that use of steamed lupin shown to improve the nutritivevalue of the grain and sheep performance., Methods: The experiment was carried out using 24 yearling lambs with initial body weight of 27.53 ± 2.67 kg (mean ± SD) for 126 days (21 days quarantine, 15 days of adaptation and 90 days growth trial followed by 7 days digestibility trial). The experiment was laid out in a randomised complete block design consisting of four treatments and six blocks. Treatments comprised the feeding of natural pasture hay ad libitum + concentrate mix 440 g (T1), natural pasture hay + 440 g/day roasted, coarsely ground sweet lupin grain (T2), natural pasture hay + 440 g/day sweet lupin grain soaked in water for 72 h (T3), natural pasture hay + 440 g/day steamed sweet lupin grain (T4)., Results: There was improvements in total dry matter intake and digestibility coefficients of dry matter, organic matter, crude protein, neutral detergent fibre and acid detergent fibre in sheep supplemented with processed sweet lupin grains compared (T4) by 58.49%, 24.66%, 39.39%, 22.97% and 39.68%, respectively, over the control group. Specifically sheep supplemented with T4 had significantly higher (p < 0.001) average daily gain (by 51.04%), feed conversion efficiency (46.34%) and daily weight gain (144.78 g/day) compared to the control treatment, respectively. All processing methods resulted in favourable average daily gain and net return, thus can be employed in feeding systems depending on their availability and relative cost., Conclusions: Supplementing sheep fed natural pasture hay with 440 g/day steamed sweet lupin grains improved growth performance and fattening economics of Doyogena sheep compared to T2 (roasted sweet lupin grain), T3 (soaked sweet lupin grain) or the control (T1)., (© 2022 The Authors. Veterinary Medicine and Science published by John Wiley & Sons Ltd.)
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- 2022
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42. Minimally Invasive Tissue Sampling in Preterm Deaths: A Validation Study.
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Hailu R, Desta T, Bekuretsion Y, Bezabih M, Alemu A, Bekele T, Abebe B, Asefa M, Tigabu Z, Girma Y, Eshetu B, Abayneh M, Mekasha A, Nigussie AK, McClure EM, Goldenberg RL, and Muhe LM
- Abstract
Uncertainty about the causes of neonatal deaths impedes achieving global health targets to reduce mortality. Complete diagnostic autopsy (CDA) is the gold standard to determine cause of death. However, it is often difficult to perform in high-burden, low-income settings. Validations of more feasible methods to determine cause of death are needed. This prospective, multi-center study in Ethiopia assessed the validity of the minimally invasive tissue sampling (MITS) approach to contribute to causes of death in preterm neonates compared to CDA. The MITS and CDA of 105 cases were reviewed. The MITS sampling success for lungs and liver was 100% and 84%, respectively. The kidney and brain had sampling successes of 58% each. MITS showed good agreement with CDA for the diagnosis of hyaline membrane disease (kappa = 0.78), and moderate to substantial agreement for pneumonia and pulmonary hemorrhage (kappa = 0.59 and 0.68, respectively). Even though CDA is the gold standard in identifying the cause of death, we believe that the MITS method can be a useful alternative method in supporting determination of cause of death in low-resource settings., Competing Interests: Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2020.)
- Published
- 2020
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43. Major causes of death in preterm infants in selected hospitals in Ethiopia (SIP): a prospective, cross-sectional, observational study.
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Muhe LM, McClure EM, Nigussie AK, Mekasha A, Worku B, Worku A, Demtse A, Eshetu B, Tigabu Z, Gizaw MA, Workneh N, Girma A, Asefa M, Portales R, Bekele T, Bezabih M, Metaferia G, Gashaw M, Abebe B, Berta H, Alemu A, Desta T, Hailu R, Gebreyesus G, Aynalem S, Abdissa AL, Pfister R, Bonger ZT, Gizaw S, Abebe T, Berhane MA, Bekuretsion Y, Dhaded S, Patterson J, and Goldenberg RL
- Subjects
- Child, Preschool, Cross-Sectional Studies, Ethiopia epidemiology, Female, Gestational Age, Humans, Infant, Infant, Newborn, Male, Prospective Studies, Cause of Death, Child Mortality, Infant Death etiology, Infant, Premature
- Abstract
Background: Neonatal deaths now account for 47% of all deaths in children younger than 5 years globally. More than a third of newborn deaths are due to preterm birth complications, which is the leading cause of death. Understanding the causes and factors contributing to neonatal deaths is needed to identify interventions that will reduce mortality. We aimed to establish the major causes of preterm mortality in preterm infants in the first 28 days of life in Ethiopia., Methods: We did a prospective, cross-sectional, observational study in five hospitals in Ethiopia. Study participants were preterm infants born in the study hospitals at younger than 37 gestational weeks. Infants whose gestational age could not be reliably estimated and those born as a result of induced abortion were excluded from the study. Data were collected on maternal and obstetric history, clinical maternal and neonatal conditions, and laboratory investigations. For neonates who died of those enrolled, consent was requested from parents for post-mortem examinations (both complete diagnostic autopsy and minimally invasive tissue sampling). An independent panel of experts established the primary and contributory causes of preterm mortality with available data., Findings: Between July 1, 2016, to May 31, 2018, 4919 preterm infants were enrolled in the study and 3852 were admitted to neonatal intensive care units. By 28 days of post-natal age, 1109 (29%) of those admitted to the neonatal intensive care unit died. Complete diagnostic autopsy was done in 441 (40%) and minimally invasive tissue sampling in 126 (11%) of the neonatal intensive care unit deaths. The main primary causes of death in the 1109 infants were established as respiratory distress syndrome (502 [45%]); sepsis, pneumonia and meningitis (combined as neonatal infections; 331 [30%]), and asphyxia (151 [14%]). Hypothermia was the most common contributory cause of preterm mortality (770 [69%]). The highest mortality occurred in infants younger than 28 weeks of gestation (89 [86%] of 104), followed by infants aged 28-31 weeks (512 [54%] of 952), 32-34 weeks (349 [18%] of 1975), and 35-36 weeks (159 [8%] of 1888)., Interpretation: Three conditions accounted for 89% of all deaths among preterm infants in Ethiopia. Scale-up interventions are needed to prevent or treat these conditions. Further research is required to develop effective and affordable interventions to prevent and treat the major causes of preterm death., Funding: Bill & Melinda Gates Foundation., (Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2019
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44. Inoculation and phosphorus fertilizer improve food-feed traits of grain legumes in mixed crop-livestock systems of Ethiopia.
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Belete S, Bezabih M, Abdulkadir B, Tolera A, Mekonnen K, and Wolde-Meskel E
- Abstract
Grain legumes play an important role as source of food and feed in smallholder mixed systems. They also contribute to soil fertility improvement through biological nitrogen fixation. Although rhizobium inoculation and phosphorus fertilizer are known to improve grain yield of legumes, information is limited on the effect of this practice on the yield and fodder quality of the haulm. This study was conducted to evaluate the effects of rhizobium inoculation (I) and phosphorus fertilizer (P) on yield and nutritional quality of grains and haulms of grain legumes (faba bean, chickpea, common bean and soybean) on farm across diverse agroecological locations in the Ethiopian highlands. The crops were subjected to four treatments [+I, +P, -I + P and a negative control (-P-I)] at multiple locations on farm during the main cropping season in 2016. Yield data was recorded during grain harvesting, and subsequently representative samples of grains and haulms were collected and analyzed for quality variables. Effects of the treatments were significant (P < 0.05) with 30% increase on grain yield for all studied crops and 28% increase on haulm dry matter yield for faba bean, common bean and soybean. Crude protein (CP) and in vitro organic matter digestibility (IVOMD) values of faba bean, common bean and soybean haulms were higher (P < 0.05); and neutral detergent fiber (NDF) and acid detergent fiber (ADF) contents were lower (P < 0.05) for the treatments than the control. The haulm CP content and IVOMD of chickpea also responded positively (P < 0.05) to the treatments. The current results demonstrated the possibility of improving both yield and quality of grains and haulms of grain legumes with the application of efficient rhizobium inocula and P fertilization. This practice offers an opportunity for smallholders in the crop-livestock system to improve the food-feed traits of grain legumes with minimal input and environmental footprint.
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- 2019
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45. A Prospective Study of Causes of Illness and Death in Preterm Infants in Ethiopia: The SIP Study Protocol.
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Muhe LM, McClure EM, Mekasha A, Worku B, Worku A, Dimtse A, Gebreyesus G, Tigabu Z, Abayneh M, Workneh N, Eshetu B, Girma A, Asefa M, Portales R, Arayaselassie M, Gebrehiwot Y, Bekele T, Bezabih M, Metaferia G, Gashaw M, Abebe B, Geleta A, Shehibo A, Hailu Y, Berta H, Alemu A, Desta T, Hailu R, Patterson J, Nigussie AK, and Goldenberg RL
- Subjects
- Cause of Death, Child, Ethiopia epidemiology, Female, Humans, Infant, Infant, Low Birth Weight, Infant, Newborn, Kangaroo-Mother Care Method, Pregnancy, Prospective Studies, Infant Mortality, Infant, Premature, Perinatal Death etiology, Premature Birth epidemiology
- Abstract
Background: With nearly 15 million annual preterm births globally, preterm birth is the most common cause of neonatal death. Forty to 60 % of neonatal deaths are directly or indirectly associated with preterm mortality. As countries aim to meet the Sustainable Development Goals to reduce neonatal mortality, significant reductions in preterm mortality are needed. This study aims to identify the common causes of preterm illness and their contribution to preterm mortality in low-resource settings. This article will describe the methods used to undertake the study., Methods: This is a prospective, multi-centre, descriptive clinical study. Socio-demographic, obstetric, and maternal factors, and clinical and laboratory findings will be documented. The major causes of preterm mortality will be identified using clinical, laboratory, imaging, and autopsy methods and use the national Ethiopian guidelines on management of preterm infants including required investigations to reach final diagnoses. The study will document the clinical and management protocols followed in these settings. The approach consists of clinical examinations and monitoring, laboratory investigations, and determination of primary and contributory causes of mortality through both clinical means and by post-mortem examinations. An independent panel of experts will validate the primary and contributory causes of mortality. To obtain the estimated sample size of 5000 preterm births, the study will be undertaken in five hospitals in three regions of Ethiopia, which are geographically distributed across the country. All preterm infants who are either born or transferred to these hospitals will be eligible for the study. Three methods (last menstrual period, physical examination using the New Ballard Score, and ultrasound) will be used to determine gestational age. All clinical procedures will be conducted per hospital protocol and informed consent will be taken from parents or caretakers prior to their participation in the study as well as for autopsy if the infant dies., Discussion: This study will determine the major causes of death and illness among hospitalized preterm infants in a low-resource setting. The result will inform policy makers and implementers of areas that can be prioritized in order to contribute to a significant reduction in neonatal mortality.
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- 2018
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46. The predominance of Ethiopian specific Mycobacterium tuberculosis families and minimal contribution of Mycobacterium bovis in tuberculous lymphadenitis patients in Southwest Ethiopia.
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Tadesse M, Abebe G, Bekele A, Bezabih M, de Rijk P, Meehan CJ, de Jong BC, and Rigouts L
- Subjects
- Adolescent, Adult, Aged, Ethiopia epidemiology, Female, Humans, Male, Middle Aged, Minisatellite Repeats, Multilocus Sequence Typing, Mycobacterium tuberculosis genetics, Phylogeny, Polymorphism, Single Nucleotide, Young Adult, Mycobacterium bovis classification, Mycobacterium tuberculosis classification, Tuberculosis, Lymph Node epidemiology, Tuberculosis, Lymph Node microbiology
- Abstract
Background: Ethiopia has an extremely high rate of extrapulmonary tuberculosis, dominated by tuberculous lymphadenitis (TBLN). However, little is known about Mycobacterium tuberculosis complex (MTBc) lineages responsible for TBLN in Southwest Ethiopia., Methods: A total of 304 MTBc isolates from TBLN patients in Southwest Ethiopia were genotyped primarily by spoligotyping. Isolates of selected spoligotypes were further analyzed by 15-loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) (n=167) and qPCR-based single nucleotide polymorphism (n=38). Isolates were classified into main phylogenetic lineages and families by using the reference strain collections and identification tools available at MIRU-VNTRplus data base. Resistance to rifampicin was determined by Xpert MTB/RIF., Results: The majority of isolates (248; 81.6%) belonged to the Euro-American lineage (Lineage 4), with the ill-defined T and Haarlem as largest families comprising 116 (38.2%) and 43 (14.1%) isolates respectively. Of the T family, 108 isolates were classified as being part of the newly described Ethiopian families, namely Ethiopia_2 (n=44), Ethiopia_3 (n=34) and Ethiopia_H
37 Rv-like (n=30). Other sub-lineages included URAL (n=18), S (n=17), Uganda I (n=16), LAM (n=13), X (n=5), TUR (n=5), Uganda II (n=4) and unknown (n=19). Lineage 3 (Delhi/CAS) was the second most common lineage comprising 44 (14.5%) isolates. Interestingly, six isolates (2%) were belonged to Lineage 7, unique to Ethiopia. Lineage 1 (East-African Indian) and Lineage 2 (Beijing) were represented by 3 and 1 isolates respectively. M. bovis was identified in only two (0.7%) TBLN cases. The cluster rate was highest for Ethiopia_3 isolates showing clonal similarity with isolates from North Ethiopia. Lineage 3 was significantly associated with rifampicin resistance., Conclusions: In TBLN in Southwest Ethiopia, the recently described Ethiopia specific Lineage 4 families were predominant, followed by Lineage 3 and Lineage 4-Haarlem. The contribution of M. bovis in TBLN infection is minimal., (Copyright © 2017. Published by Elsevier B.V.)- Published
- 2017
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47. Diagnostic performance of fluorescent light-emitting diode microscopy for tuberculous lymphadenitis in a high-burden setting.
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Abdissa K, Tadesse M, Abdella K, Bekele A, Bezabih M, and Abebe G
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Objective: Diagnosis of tuberculous lymphadenitis using fine-needle aspiration cytology is a simple and safe but low-specificity method, whereas conventional smear microscopy has variable sensitivity due to low bacterial load. We evaluated the diagnostic performance of fluorescent light-emitting diode (LED) microscopy on routinely collected fine-needle aspirates from tuberculous lymphadenitis presumptive cases., Methods: Fine-needle aspirates were collected from patients clinically suspected of having tuberculous lymphadenitis as part of routine diagnosis. Smear preparation was performed from the aspirate and processed for cytology, conventional Ziehl-Neelsen and LED microscopy. The remaining aspirate was processed for culture on Lowenstein-Jensen media. Capilia TB-Neo test was used to differentiate M. tuberculosis complex from non-tuberculous mycobacteria., Result: A total of 144 tuberculous lymphadenitis presumptive cases were included. 66.7% (96/144) were positive for M. tuberculosis complex on culture. Only one isolate was identified as non-tuberculous mycobacteria. The detection rates of Ziehl-Neelsen and LED microscopy were 18.8% (27/144) and 34% (49/144), respectively. As compared to culture, sensitivity was 25.0% [95% CI: 16.3-33.7] for Ziehl-Neelsen microscopy and 45.8% [95% CI: 35.9-55.8] for LED microscopy. The specificity was 93.8% [95% CI: 86.9-100] for Ziehl-Neelsen microscopy and 89.6% [95% CI: 80.9-98.2] for LED microscopy. LED microscopy showed a statistically significant increase in sensitivity and similar specificity compared to Ziehl-Neelsen microscopy. Mean reading time of positive slides was 2.62 min/slide for Ziehl-Neelsen and 1.60 min/slide for LED microscopy. Cytology showed sensitivity of 82.3% and specificity of 54.2%. LED microscopy detected TB bacilli in 33.3% of cases cytologically classified as suppurative abscess., Conclusion: The LED microscopy for tuberculous lymphadenitis had significantly higher sensitivity and shorter screening time than Ziehl-Neelsen microscopy. Use of LED microscopy among cases classified as suppurative abscess on fine-needle aspirate cytology improves evidence-based diagnosis of presumptive tuberculous lymphadenitis cases. Moreover, LED microscopy could be considered as an alternative approach in settings where fine-needle aspirate cytology is impractical., (© 2015 John Wiley & Sons Ltd.)
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- 2015
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48. GeneXpert MTB/RIF Assay for the Diagnosis of Tuberculous Lymphadenitis on Concentrated Fine Needle Aspirates in High Tuberculosis Burden Settings.
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Tadesse M, Abebe G, Abdissa K, Aragaw D, Abdella K, Bekele A, Bezabih M, Apers L, de Jong BC, and Rigouts L
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- Adolescent, Adult, Bacteriological Techniques methods, Biopsy, Fine-Needle, Ethiopia, Female, Humans, Lymph Nodes microbiology, Male, Middle Aged, Mycobacterium tuberculosis cytology, Prognosis, Sputum microbiology, Young Adult, Lymph Nodes pathology, Mycobacterium tuberculosis chemistry, Rifampin chemistry, Tuberculosis, Lymph Node diagnosis
- Abstract
Introduction: The diagnosis of tuberculous lymphadenitis (TBL) remains challenging. The routinely used methods (cytology and smear microscopy) have sub-optimal sensitivity. Recently, WHO recommends GeneXpert to be used as the initial diagnostic test in patients suspected of having extra-pulmonary tuberculosis (EPTB). However, this was a conditional recommendation due to very low-quality evidence available and more studies are needed. In this study we evaluated the performance of Xpert for the diagnosis of TBL on concentrated fine needle aspirates (FNA) in Southwest Ethiopia., Methods: FNA was collected from presumptive TBL cases. Two smears were prepared from each aspirate and processed for cytology and conventional microscopy. The remaining aspirate was treated with N-acetyl-L-cysteine-NaOH and centrifuged for 15minutes at 3000g. The concentrated sediment was used for culture and Xpert test. Capilia TB-Neo test was used to differentiate M. tuberculosis complex (MTBC) from non-tuberculous mycobacteria (NTM). Composite bacteriological methods (culture and/or smear microscopy) were considered as a reference standard., Result: Out of 143 enrolled suspects, 64.3% (92/143) were confirmed TBL cases by the composite reference standard (CRS). Xpert detected M. tuberculosis complex (MTBC) in 60.1% (86/143) of the presumptive TBL cases. The sensitivity of Xpert compared to CRS was 87.8% [95% CI: 81.0-94.5] and specificity 91.1% [95% CI: 82.8-99.4]. The sensitivity was 27.8% for smear microscopy and 80% for cytology compared to CRS. Cytology showed the lowest specificity (57.8%). Xpert was positive in 4 out of 45 culture- and smear-negative cases. Among 47 cytomorphologically non-TBL cases, 15 were positive on Xpert. More than half of Xpert-positive cases were in the range of very low cut-off threshold values (28
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- 2015
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49. Bacteriological methods as add on tests to fine-needle aspiration cytology in diagnosis of tuberculous lymphadenitis: can they reduce the diagnostic dilemma?
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Abdissa K, Tadesse M, Bezabih M, Bekele A, Apers L, Rigouts L, and Abebe G
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- Adolescent, Adult, Aged, Aged, 80 and over, Biopsy, Fine-Needle, Child, Child, Preschool, Cross-Sectional Studies, Culture Media, Diagnosis, Differential, Ethiopia epidemiology, Female, Humans, Infant, Infant, Newborn, Male, Microbial Sensitivity Tests, Middle Aged, Sensitivity and Specificity, Young Adult, Bacteriological Techniques methods, Mycobacterium tuberculosis isolation & purification, Tuberculosis, Lymph Node microbiology, Tuberculosis, Lymph Node pathology
- Abstract
Background: The diagnostic accuracy of fine-needle aspiration (FNA) cytology for the diagnosis of tuberculous lymphadenitis (TBLN) is confounded by mimicking cytomorphologic disorders. The objective of this study was to determine whether supplementing FNA cytology with bacteriological methods improves the overall accuracy of TBLN diagnosis., Methods: Two hundred presumptive TBLN cases were included in the study. FNA specimens were collected and examined for cytomorphologic changes, for acid-fast bacilli (AFB) by microscopy and for mycobacterial growth on culture. Culture was done using Lowenstein-Jensen (LJ) medium and mycobacteria growth indicator tube (BACTEC MGIT 960 TB detection system). Differentiation between M. tuberculosis complex (MTBc) and non-tuberculous mycobacteria (NTM) was done by using 500 μg/ml para-nitrobenzoic acid (PNB) susceptibility testing., Results: Cytomorphology detected TBLN among 80% (160/200) of the presumptive cases. Culture results were available for 188 cases. Twelve samples were excluded due to contamination on both culture methods. Culture confirmed cases accounted for 78% (147/188) of which MTBc constituted 97.3% (143/147). Among presumptive cases, classified by FNA cytology as 'abscess', 11 were culture positive. Microscopy detected 31.3% (46/147) of culture confirmed mycobacterial lymphadenitis of which 11% (4/37) were diagnosed non-suggestive for tuberculosis (TB) by FNA cytology. Compared to culture (LJ & BACTEC MGIT 960) and AFB microscopy as composite gold standard, FNA cytology had a sensitivity of 88.4% and a specificity of 48.8%. The positive predictive value was 86.1% while the negative predictive value was 54.1%. The confirming power and the ROC curve area was 1.73 and 0.69, respectively., Conclusion: FNA cytology showed a relatively high sensitivity but a low specificity. Combining bacteriological methods with FNA cytology in an endemic region like Ethiopia improves the overall accuracy of the diagnosis of mycobacterial lymphadenitis, which in turn may lead to better patient management.
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- 2014
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50. Concentration of lymph node aspirate improves the sensitivity of acid fast smear microscopy for the diagnosis of tuberculous lymphadenitis in Jimma, southwest Ethiopia.
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Tadesse M, Abebe G, Abdissa K, Bekele A, Bezabih M, Apers L, Colebunders R, and Rigouts L
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- Acetylcysteine chemistry, Adolescent, Adult, Aged, Biopsy, Needle methods, Child, Child, Preschool, Cross-Sectional Studies, Ethiopia epidemiology, Female, Humans, Lymph Nodes microbiology, Male, Middle Aged, Nitrobenzoates chemistry, Tuberculosis, Lymph Node epidemiology, Lymph Nodes pathology, Mycobacterium tuberculosis, Tuberculosis, Lymph Node pathology
- Abstract
Background: Tuberculous lymphadenitis (TBLN) is the most common form of extrapulmonary tuberculosis. The cytomorphological features of lymph node smears have reduced specificity for the diagnosis of tuberculosis. The diagnosis of TBLN with direct smear microscopy lacks sensitivity due to the limited number of bacilli in lymph node aspirate. Therefore, we aimed to assess whether the concentration of lymph node aspirate improves the sensitivity of acid fast smear microscopy for the diagnosis of tuberculous lymphadenitis., Methods: A cross-sectional comparative study was conducted on 200 patients clinically suspected for tuberculous lymphadenitis in Jimma, Ethiopia. Lymph node aspirate was collected. The first two drops were used for cytomorphological study and direct acid fast staining. The remaining aspirate was treated with N-acetyl-L-cysteine (NALC) and concentrated by centrifugation at 3000 g for 15 minutes. The sediment was used for acid fast staining and culture. Differentiation of M. tuberculosis complex (MTBC) from non-tuberculous mycobacteria (NTM) was done by para-nitrobenzoic acid susceptibility test., Result: Complete data were available for 187 study subjects. 68% (127/187) were positive for M. tuberculosis on culture. Four isolates, 2.1% (4/187), were identified as NTM. The detection rate of direct smear microscopy was 25.1% and that of the concentration method 49.7%. Cytomorphologically, 79.7% of cases were classified as TBLN. The sensitivity of direct smear microscopy was 34.6%, for concentrated smear microscopy 66.1%, and for cytomorphology 89.8%. Two AFB positive cases on concentration method were non-tuberculosis mycobacteria (NTM). The concentration method yielded a positive result from seven cases diagnosed as suppurative abscess by cytology. Both for the direct and concentration methods the highest rate of AFB positivity was observed in smears showing caseous necrosis alone. Smear positivity rate decreased with the appearance of epithelioid cell aggregates., Conclusion: The concentration of lymph node aspirates for acid fast smear microscopy had significantly higher sensitivity than direct microscopy.
- Published
- 2014
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