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2,239 results on '"Miyagawa, S"'

1. Potential for Expanding the Donor Pool: Outcomes of Heart Transplantation Using Donors Over 50 Years of Age

Author

Taguchi, T., primary, Yoshioka, D., additional, Fukushima, S., additional, Tonai, K., additional, Tadokoro, N., additional, Kawamoto, N., additional, Kainuma, S., additional, Yanagino, Y., additional, Misumi, Y., additional, Kawamura, A., additional, Kawamura, T., additional, Kawamura, M., additional, Saito, S., additional, Watanabe, T., additional, Tsukamoto, Y., additional, and Miyagawa, S., additional

Published
2024
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5. Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation

Author

Miyagawa S, Fukuyama H, Hirota M, Yamaguchi T, Kitamura K, Endo T, Kanda H, Morimoto T, and Fujikado T

Subjects
AO-SLO, adaptive optics, cone photoreceptor, photoreceptor density, retinal imaging, image processing, Ophthalmology, RE1-994
Abstract

Suguru Miyagawa,1,2 Hisashi Fukuyama,3 Masakazu Hirota,1 Tatsuo Yamaguchi,4 Kazuo Kitamura,4 Takao Endo,3 Hiroyuki Kanda,1 Takeshi Morimoto,1 Takashi Fujikado1 1Department of Applied Visual Science, Osaka University Graduate School of Medicine, Suita, Osaka, 2Technology Development Department Research and Development Section, Topcon Corporation, Itabashi, Tokyo, 3Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Osaka, 4Eye Care Technology Development Department, Product Technology Section, Topcon Corporation, Itabashi, Tokyo, Japan Purpose: The purpose of this study was to develop an algorithm based on region-based segmentation for automated calculations of human cone photoreceptor density of en face images obtained by an adaptive optics scanning laser ophthalmoscope (AOSLO). Subjects and methods: Cone mosaics of 15 eyes of 15 healthy subjects were photographed by a custom-built AOSLO. The cone density was calculated at 0.5, 1.0, and 1.5 mm temporal from the fovea using a region-based segmentation method (RSM) developed in our laboratory. The cone density was also determined by a manual identification method (MIM) and a conventional spatial filtering method (SFM). The cone densities of three eyes of three patients with retinal degeneration were calculated by the three methods and compared to the results from normal eyes. Results: The cone densities in healthy retinas determined by the RSM at 0.5, 1.0, and 1.5 mm temporal from the fovea were 28,436, 21,233, and 13,620 cells/mm2, respectively. These densities were in good agreement with a histological study and with in vivo AOSLO studies. The cone densities determined by RSM were different from those determined by MIM with a difference of 5% in healthy eyes. In eyes with retinal degeneration, with the appropriate threshold-level settings or spatial frequency bandwidth, the cone density measured by MIM was significantly closer to that measured by RSM than by SFM. Conclusion: These results suggest that our method is more stable than conventional methods in cases of non-periodical photoreceptor structures such as the affected retinal area. Our method can be used in the longitudinal follow-up of retinal degenerative diseases and to determine the effect of therapy. Keywords: AOSLO, adaptive optics, cone photoreceptor, photoreceptor density, retinal imaging, image processing

Published
2017

37. P960Non-inducible ventricular arrhythmia soon after ventricular tachycardia ablation predicts long-term recurrence in patients with reduced ejection fraction

Author

Kiyokuni, M K, primary, Narikawa, M N, additional, Kino, T K, additional, Taguchi, Y T, additional, Miyagawa, S M, additional, Nakayama, N N, additional, Yano, H Y, additional, Hosoda, J H, additional, Matsumoto, K M, additional, Sugano, T S, additional, Ishigami, T I, additional, Ishikawa, T I, additional, and Kimura, K K, additional

Published
2020
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42. Novel and recurrent TRPV4 mutations and their association with distinct phenotypes within the TRPV4 dysplasia family

Author

Dai, J, Kim, O-H, Cho, T-J, Schmidt-Rimpler, M, Tonoki, H, Takikawa, K, Haga, N, Miyoshi, K, Kitoh, H, Yoo, W-J, Choi, I-H, Song, H-R, Jin, D-K, Kim, H-T, Kamasaki, H, Bianchi, P, Grigelioniene, G, Nampoothiri, S, Minagawa, M, Miyagawa, S-i, Fukao, T, Marcelis, C, Jansweijer, M C E, Hennekam, R C M, Bedeschi, F, Mustonen, A, Jiang, Q, Ohashi, H, Furuichi, T, Unger, S, Zabel, B, Lausch, E, Superti-Furga, A, Nishimura, G, and Ikegawa, S

Published
2010
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49. The International Network for Evaluating Outcomes (iNeo) of neonates: evolution, progress and opportunities

Author

Shah, PS, Lui, K, Reichman, B, Norman, M, Kusuda, S, Lehtonen, L, Adams, M, Vento, M, Darlow, BA, Modi, N, Rusconi, F, Hakansson, S, San Feliciano, L, Helenius, KK, Bassler, D, Hirano, S, Lee, SK, Marshall, P, Schmidt, P, Dhawan, A, Craven, P, De Waal, K, Simmer, K, Gill, A, Pillow, J, Stack, J, Birch, P, Cooke, L, Casalaz, D, Holberton, J, Stewart, A, Downe, L, Stewart, M, Bajuk, B, Berry, A, Hunt, R, Kilburn, C, De Paoli, T, Bolisetty, S, Paradisis, M, Rieger, I, Koorts, P, Kuschel, C, Numa, A, Carlisle, H, Badawi, N, Loughran-Fowlds, A, Koh, G, Davis, J, Luig, M, Andersen, C, Chambers, G, Austin, N, Lynn, A, Darlow, B, Edmonds, L, Mildenhall, L, Buksh, M, Battin, M, Van den Boom, J, Bourchier, D, Richardson, V, Dineen, F, Rajadurai, VS, Fung, G, Harrison, A, Synnes, A, Ting, J, Cieslak, Z, Sherlock, R, Yee, W, Aziz, K, Toye, J, Fajardo, C, Kalapesi, Z, Sankaran, K, Daspal, S, Seshia, M, Alvaro, R, Mukerji, A, Da Silva, O, Nwaesei, C, Lee, K-S, Dunn, M, Lemyre, B, Dow, K, Pelausa, E, Barrington, K, Drolet, C, Piedboeuf, B, Claveau, M, Beltempo, M, Bertelle, V, Masse, E, Canning, R, Mabry, H, Ojah, C, Monterrosa, L, Deshpandey, A, Afifi, J, Kajetanowicz, A, Andersson, S, Tammela, O, Sankilampi, U, Saarela, T, Prazad, P, Noguchi, A, McWan, K, Button, B, Stratton, W, Hamvus, A, Raghaven, A, Derrick, M, Hadley, R, Covert, R, Lablanc, O, Weiss, M, Bell, A, Shareef, M, Silvestri, J, Heymann, E, Zangen, S, Smolkin, T, Mimouni, F, Bader, D, Rothschild, A, Strauss, Z, Felszer, C, Oman, H, Toy-Friedman, SE, Bar-Oz, B, Feldman, M, Saad, N, Flidel-Rimon, O, Weisbrod, M, Lubin, D, Litmanovitz, I, Kngelman, A, Shinwell, E, Klinger, G, Nijim, Y, Bin-Nun, A, Golan, A, Mandel, D, Fleisher-Sheffer, V, Kohelet, D, Bakhrakh, L, Hattori, S, Shirai, M, Ishioka, T, Mori, T, Amiznka, T, Huchimukai, T, Yoshida, H, Sasaki, A, Shimizu, J, Nakamura, T, Maruyama, M, Matsumoto, H, Hosokawa, S, Taki, A, Nakagawa, M, Ko, K, Uozumi, A, Nakata, S, Shimazaki, A, Yoda, T, Numata, O, Imamura, H, Kobayashi, A, Tokuriki, S, Uchida, Y, Arai, T, Ito, M, Ieda, K, Ono, T, Hayashi, M, Maki, K, Yamakawa, M, Kawai, M, Fujii, N, Shiomi, K, Nozaki, K, Wada, H, Kim, T, Tokunaga, Y, Takatera, A, Oshima, T, Sumida, H, Michinomae, Y, Knsumoto, Y, Yoshimoto, S, Morisawa, T, Ohashi, T, Takahashi, Y, Sugimoto, M, Ono, N, Miyagawa, S, Saijo, T, Yamagami, T, Koyano, K, Kobayashi, S, Kanda, T, Sakemi, Y, Aoki, M, Iida, K, Goshi, M, Maruyama, Y, Avila-Alvarez, A, Luis Fernandez-Trisac, J, Couce Pico, ML, Fernandez Seara, MJ, Martinez Gutierrez, A, Vizcaino, C, Salvador Iglesias, M, Sanchez Zaplana, H, Fernandez Colomer, B, Garcia Lopez, JE, Garcia Mozo, R, Gonzalez Martinez, MT, Muro Sebastian, MD, Balart Carbonell, M, Badia Bamnsell, J, Domingo Puiggros, M, Figueras Aloy, J, Botet Mussons, F, Anquela Sanz, I, Ginovart Galiana, G, Coroleu, W, Iriondo, M, Vilella, LC, Porta, R, Demestre, X, Martinez Nadal, S, De Frutos Martinez, C, Lopez Cuesta, MJ, Esquivel Mora, D, Ortiz Tardio, J, Benavente, I, Alonso, A, Aguilera Olmos, R, Garcia Cabezas, MA, Martinez Jimenez, MD, Jaraba Caballero, MF, Ordofiez Diaz, MD, Fagundo, AT, Canals, LM, Garcia-Munoz Rodrigo, F, Urquia Marti, L, Moreno Galdo, MF, Hurtado Suazo, JA, Narbona Lopez, E, Uberos Fernandez, J, Cortajarena Altana, MA, Mora Navarro, D, Teresa Dominguez, M, Ruiz del Prado, MY, Esteban Diez, I, Palau Benavides, MT, Lapena, S, Prada, T, Soler Mir, E, Corredera Sanchez, A, Criado Vega, E, Del Prado, N, Fernandez, C, Cabanillas Vilaplana, L, Cuadrado Perez, I, Lopez Gomez, L, Domingo Comeche, L, Llana Martin, I, Gonzalez Armengod, C, Munoz Labian, C, Santos Munoz, MJ, Blanco Bravo, D, Perez, V, Elorza Fernandez, MD, Diaz Gonzalez, C, Ares Segura, S, Lopez Azorin, M, Belen Jimenez, A, Sanchez-Tamayo, T, Tapia Moreno, E, Gonzalez, M, Sanchez Martinez, JE, Lloreda Garcia, JM, Goni Orayen, C, Vilas Gonzalez, J, Suarez Albo, M, Gonzalez Colmenero, E, Gutierrez Gonzalez, EP, Vacas del Arco, B, Marquez Fernandez, J, Acosta Gordillo, L, Granero Asensio, M, Macias Diaz, C, Albujar, M, Fuster Jorge, P, Romero, S, Rivero Falero, M, Escobar Izquierdo, AB, Estan Capell, J, Izquierdo Macian, MI, Montejo Vicente, MM, Izquierdo Caballero, R, Mercedes Martinez, M, Euba, A, Rodriguez Serna, A, De Heredia Goya, JML, Perez Legorburu, A, Gutierrez Amoros, A, Marugan Isabel, VM, Hernandez Gonzalez, N, Rite Gracia, S, Ventura Faci, MP, Samper Villagrasa, MP, Kofron, J, Brodd, KS, Odlind, A, Alberg, L, Arwehed, S, Hafstrom, O, Kasemo, A, Nederman, K, Ahman, L, Ingemarsson, F, Petersson, H, Thum, P, Albinsson, E, Selander, B, Abrahamsson, T, Heimdahl, I, Sveinsdottir, K, Wejryd, E, Hedlund, A, Soderberg, MK, Hallberg, B, Brune, T, Backstrom, J, Robinson, J, Farooqi, A, Normann, E, Fredriksson, M, Palm, A, Rosenqvist, U, Hagman, C, Ohlin, A, Floral, R, Smedsaas-Lofvenberg, A, Meyer, P, Anderegg, C, Schulzke, S, Nelle, M, Wagner, B, Riedel, T, Kaczala, G, Walde, B, Pfister, RE, Tolsa, J-F, Roth, M, Stocker, M, Laubscher, B, Malzacher, A, Micallef, JP, Hegi, L, Arlettaz, R, Bernet, V, Dani, C, Fiorini, P, Boldrini, A, Tomasini, B, Mittal, A, Kefas, J, Kamalanathan, A, Jayachandran, Yoxall, B, McBride, T, Webb, D, Garr, R, Hassan, A, Ambadkar, P, Dyke, M, McDevitt, K, Rewitzky, G, D'Amore, A, Panasa, N, Settle, P, Maddock, N, Edi-Osagie, N, Zipitis, C, Heal, C, Birch, J, Hasib, A, Soe, A, Kumar, N, Kisat, H, Vasu, V, Lama, M, Gupta, R, Rawlingson, C, Wickham, T, Theron, M, Kendall, G, Gupta, A, Aladangady, N, Ali, I, Alsford, L, Lopez, W, Murthy, V, Sullivan, C, Thomas, M, Bate, T, Godambe, S, Watts, T, Kuna, J, Chang, J, Pai, V, Huddy, C, Yasin, S, Nicholl, R, Pandey, P, Kairamkonda, V, Muogbo, D, Harry, L, Simmons, P, Nycyk, J, Gallagher, A, Pillay, T, Deshpande, S, Mahadevan, Moore, A, Clark, S, Garbash, M, Lal, M, Abu-Harb, M, Allwood, A, Selter, M, Munyard, P, Bartle, D, Paul, S, Whincup, G, Mallik, A, Amess, P, Godden, C, Reynolds, P, Misra, I, De Halpert, P, Salgia, S, Sanghavi, R, Wigfield, R, Deketelaere, A, Khashu, M, Hall, M, Groves, C, Brown, N, Brennan, N, Vamvakiti, K, McIntyre, J, Pirie, S, Jones, S, Mannix, P, Cairns, P, Eaton, M, Schwarz, K, Gibson, D, Miall, L, Krishnamurthy, University of Zurich, Shah, Prakesh S, Canadian Institutes of Health Research (CIHR), and Neonid NPO

Subjects
medicine.medical_specialty, NEW-ZEALAND, Population, 610 Medicine & health, RETINOPATHY, Review Article, Audit, Pediatrics, outcomes research, MORBIDITY, Nursing, neonatal intensive care, Health care, medicine, LOW-BIRTH-WEIGHT, 2735 Pediatrics, Perinatology and Child Health, education, education.field_of_study, Science & Technology, EXTREMELY PRETERM INFANTS, business.industry, MORTALITY, Public health, Health services research, Preterm infants, Capacity building, BRONCHOPULMONARY DYSPLASIA, Benchmarking, 10027 Clinic for Neonatology, INTENSIVE-CARE UNITS, TRENDS, CANADA, Pediatrics, Perinatology and Child Health, Outcomes research, business, Life Sciences & Biomedicine
Abstract

Neonates born very preterm (before 32 weeks’ gestational age), are a significant public health concern because of their high-risk of mortality and life-long disability. In addition, caring for very preterm neonates can be expensive, both during their initial hospitalization and their long-term cost of permanent impairments. To address these issues, national and regional neonatal networks around the world collect and analyse data from their constituents to identify trends in outcomes, and conduct benchmarking, audit and research. Improving neonatal outcomes and reducing health care costs is a global problem that can be addressed using collaborative approaches to assess practice variation between countries, conduct research and implement evidence-based practices. The International Network for Evaluating Outcomes (iNeo) of neonates was established in 2013 with the goal of improving outcomes for very preterm neonates through international collaboration and comparisons. To date, 10 national or regional population-based neonatal networks/datasets participate in iNeo collaboration. The initiative now includes data on >200,000 very preterm neonates and has conducted important epidemiological studies evaluating outcomes, variations and trends. The collaboration has also surveyed >320 neonatal units worldwide to learn about variations in practices, healthcare service delivery, and physical, environmental and manpower related factors and support services for parents. The iNeo collaboration serves as a strong international platform for Neonatal-Perinatal health services research that facilitates international data sharing, capacity building, and global efforts to improve very preterm neonate care.

Published
2019

50. The International Network for Evaluating Outcomes (iNeo) of neonates: evolution, progress and opportunities

Author

Shah P, Lui K, Reichman B, Norman M, Kusuda S, Lehtonen L, Adams M, Vento M, Darlow B, Modi N, Rusconi F, Hakansson S, San Feliciano L, Helenius K, Bassler D, Hirano S, Lee S, Marshall P, Schmidt P, Dhawan A, Craven P, de Waal K, Simmer K, Gill A, Pillow J, Stack J, Birch P, Cooke L, Casalaz D, Holberton J, Stewart A, Downe L, Stewart M, Bajuk B, Berry A, Hunt R, Kilburn C, De Paoli T, Bolisetty S, Paradisis M, Rieger I, Koorts P, Kuschel C, Numa A, Carlisle H, Badawi N, Loughran-Fowlds A, Koh G, Davis J, Luig M, Andersen C, Chambers G, Austin N, Lynn A, Edmonds L, Mildenhall L, Buksh M, Battin M, van den Boom J, Bourchier D, Richardson V, Dineen F, Rajadurai V, Fung G, Harrison A, Synnes A, Ting J, Cieslak Z, Sherlock R, Yee W, Aziz K, Toye J, Fajardo C, Kalapesi Z, Sankaran K, Daspal S, Seshia M, Alvaro R, Mukerji A, Da Silva O, Nwaesei C, Lee K, Dunn M, Lemyre B, Dow K, Pelausa E, Barrington K, Drolet C, Piedboeuf B, Claveau M, Beltempo M, Bertelle V, Masse E, Canning R, Mabry H, Ojah C, Monterrosa L, Deshpandey A, Afifi J, Kajetanowicz A, Andersson S, Tammela O, Sankilampi U, Saarela T, Prazad P, Noguchi A, McWan K, Button B, Stratton W, Hamvus A, Raghaven A, Derrick M, Hadley R, Covert R, Lablanc O, Weiss M, Bell A, Shareef M, Silvestri J, Heymann E, Zangen S, Smolkin T, Mimouni F, Bader D, Rothschild A, Strauss Z, Felszer C, Oman H, Toy-Friedman S, Bar-Oz B, Feldman M, Saad N, Flidel-Rimon O, Weisbrod M, Lubin D, Litmanovitz I, Kngelman A, Shinwell E, Klinger G, Nijim Y, Bin-Nun A, Golan A, Mandel D, Fleisher-Sheffer V, Kohelet D, Bakhrakh L, Hattori S, Shirai M, Ishioka T, Mori T, Amiznka T, Huchimukai T, Yoshida H, Sasaki A, Shimizu J, Nakamura T, Maruyama M, Matsumoto H, Hosokawa S, Taki A, Nakagawa M, Ko K, Uozumi A, Nakata S, Shimazaki A, Yoda T, Numata O, Imamura H, Kobayashi A, Tokuriki S, Uchida Y, Arai T, Ito M, Ieda K, Ono T, Hayashi M, Maki K, Yamakawa M, Kawai M, Fujii N, Shiomi K, Nozaki K, Wada H, Kim T, Tokunaga Y, Takatera A, Oshima T, Sumida H, Michinomae Y, Knsumoto Y, Yoshimoto S, Morisawa T, Ohashi T, Takahashi Y, Sugimoto M, Ono N, Miyagawa S, Saijo T, Yamagami T, Koyano K, Kobayashi S, Kanda T, Sakemi Y, Aoki M, Iida K, Goshi M, Maruyama Y, Avila-Alvarez A, Fernandez-Trisac J, Pico M, Seara M, Gutierrez A, Vizcaino C, Iglesias M, Zaplana H, Colomer B, Lopez J, Mozo R, Martinez M, Sebastian M, Carbonell M, Bamnsell J, Puiggros M, Aloy J, Mussons F, Sanz I, Galiana G, Coroleu W, Iriondo M, Vilella L, Porta R, Demestre X, Nadal S, Martinez C, Cuesta M, Mora D, Tardio J, Benavente I, Alonso A, Olmos R, Cabezas M, Jimenez M, Caballero M, Diaz M, Fagundo A, Canals L, Rodrigo F, Marti L, Galdo M, Suazo J, Lopez E, Fernandez J, Altana M, Navarro D, Dominguez M, del Prado M, Diez I, Benavides M, Lapena S, Prada T, Mir E, Sanchez A, Vega E, del Prado N, Fernandez C, Vilaplana L, Perez I, Gomez L, Comeche L, Martin I, Armengod C, Labian C, Munoz M, Bravo D, Perez V, Fernandez M, Gonzalez C, Segura S, Azorin M, Jimenez A, Sanchez-Tamayo T, Moreno E, Gonzalez M, Martinez J, Garcia J, Orayen C, Gonzalez J, Albo M, Colmenero E, Gonzalez E, del Arco B, Gordillo L, Asensio M, Diaz C, Albujar M, Jorge P, Romero S, Falero M, Izquierdo A, Capell J, Macian M, Vicente M, Caballero R, Euba A, Serna A, Goya J, Legorburu A, Amoros A, Isabel V, Gonzalez N, Gracia S, Faci M, Villagrasa M, Kofron J, Brodd K, Odlind A, Alberg L, Arwehed S, Hafstrom O, Kasemo A, Nederman K, Ahman L, Ingemarsson F, Petersson H, Thum P, Albinsson E, Selander B, Abrahamsson T, Heimdahl I, Sveinsdottir K, Wejryd E, Hedlund A, Soderberg M, Hallberg B, Brune T, Backstrom J, Robinson J, Farooqi A, Normann E, Fredriksson M, Palm A, Rosenqvist U, Hagman C, Ohlin A, Floral R, Smedsaas-Lofvenberg A, Meyer P, Anderegg C, Schulzke S, Nelle M, Wagner B, Riedel T, Kaczala G, Walde B, Pfister R, Tolsa J, Roth M, Stocker M, Laubscher B, Malzacher A, Micallef J, Hegi L, Arlettaz R, Bernet V, Dani C, Fiorini P, Boldrini A, Tomasini B, Mittal A, Kefas J, Kamalanathan A, Jayachandran, Yoxall B, McBride T, Webb D, Garr R, Hassan A, Ambadkar P, Dyke M, McDevitt K, Rewitzky G, D'Amore A, Panasa N, Settle P, Maddock N, Edi-Osagie N, Zipitis C, Heal C, Birch J, Hasib A, Soe A, Kumar N, Kisat H, Vasu V, Lama M, Gupta R, Rawlingson C, Wickham T, Theron M, Kendall G, Gupta A, Aladangady N, Ali I, Alsford L, Lopez W, Murthy V, Sullivan C, Thomas M, Bate T, Godambe S, Watts T, Kuna J, Chang J, Pai V, Huddy C, Yasin S, Nicholl R, Pandey P, Kairamkonda V, Muogbo D, Harry L, Simmons P, Nycyk J, Gallagher A, Pillay T, Deshpande S, Mahadevan, Moore A, Clark S, Garbash M, Lal M, Abu-Harb M, Allwood A, Selter M, Munyard P, Bartle D, Paul S, Whincup G, Mallik A, Amess P, Godden C, Reynolds P, Misra I, De Halpert P, Salgia S, Sanghavi R, Wigfield R, Deketelaere A, Khashu M, Hall M, Groves C, Brown N, Brennan N, Vamvakiti K, McIntyre J, Pirie S, Jones S, Mannix P, Cairns P, Eaton M, Schwarz K, Gibson D, Miall L, Krishnamurthy, and Int Network Evaluating Outcomes iN

Subjects
outcomes research, neonatal intensive care, Preterm infants
Abstract

Neonates born very preterm (before 32 weeks' gestational age), are a significant public health concern because of their high-risk of mortality and life-long disability. In addition, caring for very preterm neonates can be expensive, both during their initial hospitalization and their long-term cost of permanent impairments. To address these issues, national and regional neonatal networks around the world collect and analyse data from their constituents to identify trends in outcomes, and conduct benchmarking, audit and research. Improving neonatal outcomes and reducing health care costs is a global problem that can be addressed using collaborative approaches to assess practice variation between countries, conduct research and implement evidence-based practices. The International Network for Evaluating Outcomes (iNeo) of neonates was established in 2013 with the goal of improving outcomes for very preterm neonates through international collaboration and comparisons. To date, 10 national or regional population-based neonatal networks/datasets participate in iNeo collaboration. The initiative now includes data on >200,000 very preterm neonates and has conducted important epidemiological studies evaluating outcomes, variations and trends. The collaboration has also surveyed >320 neonatal units worldwide to learn about variations in practices, healthcare service delivery, and physical, environmental and manpower related factors and support services for parents. The iNeo collaboration serves as a strong international platform for Neonatal-Perinatal health services research that facilitates international data sharing, capacity building, and global efforts to improve very preterm neonate care.

Published
2019

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