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2. 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

3. 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

4. Trends in Outcomes for Neonates Born Very Preterm and Very Low Birth Weight in 11 High-Income Countries

Author

Lui K, Lee S, Kusuda S, Adams M, Vento M, Reichman B, Darlow B, Lehtonen L, Modi N, Norman M, Hakansson S, Bassler D, Rusconi F, Lodha A, Yang J, Shah P, 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, Doyle L, 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, Lam S, Fung G, Harrison A, Synnes A, Cieslak Z, Sherlock R, Yee W, Aziz K, 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, Makary 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, Omari H, Tov-Friedman S, Bar-Oz B, Feldman M, Saad N, Flidel-Rimon O, Weisbrod M, Lubin D, Litmanovitz I, Kugelman 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, Amizuka 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, Kusumoto 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, Ting J, Toye J, 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, Barnusell 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 P, Diaz M, Fagundo A, Canals L, Rodrigo F, Marti L, Galdo M, Suazo J, Lopez E, Fernandez J, Altuna M, Muga O, 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 R, Jorge P, Romero S, Falero M, Izquierdo A, Capell J, Vicente M, Caballero R, Euba A, Serna A, Goya J, Legorburu A, Amoros A, Isabel V, Gonzalez N, Gracia S, Faci P, Villagrasa M, Macian M, Kofron J, Brodd K, Odlind A, Alberg L, Arwehed S, Hafstrom O, Kasemo A, Nederman K, Ahman L, Ingemarsson F, Petersson H, Thurn 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, Walde B, Hagman C, Ohlin A, Florell R, Smedsaas-Lofvenberg A, Meyer P, Anderegg C, Schulzke S, Nelle M, Wagner B, Riedel T, Kaczala G, Pfister R, Tolsa J, Roth M, Stocker M, Laubscher B, Malzacher A, Micallef J, Hegi L, Arlettaz R, Bernet V, Fiorini P, Boldrini A, Tomasini B, 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, Cusack J, 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, Dani C, Mittal A, 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 Evaluation Outcomes iN

Abstract

Objective To evaluate outcome trends of neonates born very preterm in 11 high-income countries participating in the International Network for Evaluating Outcomes of neonates. Study design In a retrospective cohort study, we included 154 233 neonates admitted to 529 neonatal units between January 1, 2007, and December 31, 2015, at 24(0/7) to 31(6/7) weeks of gestational age and birth weight

Published
2019

5. Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants.

Author

Austin N., Andersen C., Darlow B., Broadbent R., Corban J., Mildenhall L., Battin M., Bourchier D., Richardson V., Haslam R., Rajadurai V.S., Kajetanowicz A., Synnes A., Rouvinez-Bouali N., Piedboeuf B., Bertelle V., Bulleid B., Yee W., Shivananda S., Lee K.-S., Seshia M., Barrington K., Lefebvre F., McMillan D., Andrews W., Kovacs L., Dow K., da Silva O., Riley P., Peliowski A., Aziz K., Cieslak Z., Kalapesi Z., Sankaran K., Faucher D., Alvaro R., Canning R., Ojah C., Monterrosa L., Dunn M., Sorokan T., Harrison A., Nwaesei C., Adie M., Hakansson S., Segerdahl N., Morad T., Moren S., Stenberg A., Simonsson C., Stigsson L., Christensen J.L., Amasn L., Ingemanson F., osterdal L., Ellstrom K.-G., Abrahamsson T., Heimdahl I., Hagg T., Hedlund A., Lund E.E., Westrup B., Sarman I., Jobe A.S., Fredsriksson M., Palm A., Malmstrom B., Lindberg E., Ljungdahl O., Eriksson K., Koller-Smith L.I.M., Shah P., Ye X.Y., Sjors G., Wang Y.A., Chow S.S.W., Darlow B.A., Lee S.K., Hakanson S., Lui K., Marshall P., Craven P., Simmer K., Stack J., Knight D., Watkins A., Ramsden A., Tan K., Bawden K., Downe L., Singde V., Stewart M., Berry A., Hunt R., Kilburn C., Dargaville P., Paradisis M., Evans N., Reid S., Cartwright D., Kuschel C., Doyle L., Numa A., Kecskes Z., Badawi N., Koh G., Resnick S., Tracy M., Tarnow-Mordi W., Austin N., Andersen C., Darlow B., Broadbent R., Corban J., Mildenhall L., Battin M., Bourchier D., Richardson V., Haslam R., Rajadurai V.S., Kajetanowicz A., Synnes A., Rouvinez-Bouali N., Piedboeuf B., Bertelle V., Bulleid B., Yee W., Shivananda S., Lee K.-S., Seshia M., Barrington K., Lefebvre F., McMillan D., Andrews W., Kovacs L., Dow K., da Silva O., Riley P., Peliowski A., Aziz K., Cieslak Z., Kalapesi Z., Sankaran K., Faucher D., Alvaro R., Canning R., Ojah C., Monterrosa L., Dunn M., Sorokan T., Harrison A., Nwaesei C., Adie M., Hakansson S., Segerdahl N., Morad T., Moren S., Stenberg A., Simonsson C., Stigsson L., Christensen J.L., Amasn L., Ingemanson F., osterdal L., Ellstrom K.-G., Abrahamsson T., Heimdahl I., Hagg T., Hedlund A., Lund E.E., Westrup B., Sarman I., Jobe A.S., Fredsriksson M., Palm A., Malmstrom B., Lindberg E., Ljungdahl O., Eriksson K., Koller-Smith L.I.M., Shah P., Ye X.Y., Sjors G., Wang Y.A., Chow S.S.W., Darlow B.A., Lee S.K., Hakanson S., Lui K., Marshall P., Craven P., Simmer K., Stack J., Knight D., Watkins A., Ramsden A., Tan K., Bawden K., Downe L., Singde V., Stewart M., Berry A., Hunt R., Kilburn C., Dargaville P., Paradisis M., Evans N., Reid S., Cartwright D., Kuschel C., Doyle L., Numa A., Kecskes Z., Badawi N., Koh G., Resnick S., Tracy M., and Tarnow-Mordi W.

Abstract

Background: Compared to very low gestational age (<32 weeks, VLGA) cohorts, very low birth weight (<1500 g; VLBW) cohorts are more prone to selection bias toward small-for-gestational age (SGA) infants, which may impact upon the validity of data for benchmarking purposes. Method(s): Data from all VLGA or VLBW infants admitted in the 3 Networks between 2008 and 2011 were used. Two-thirds of each network cohort was randomly selected to develop prediction models for mortality and composite adverse outcome (CAO: mortality or cerebral injuries, chronic lung disease, severe retinopathy or necrotizing enterocolitis) and the remaining for internal validation. Areas under the ROC curves (AUC) of the models were compared. Result(s): VLBW cohort (24,335 infants) had twice more SGA infants (20.4% vs. 9.3%) than the VLGA cohort (29,180 infants) and had a higher rate of CAO (36.5% vs. 32.6%). The two models had equal prediction power for mortality and CAO (AUC 0.83), and similarly for all other cross-cohort validations (AUC 0.81-0.85). Neither model performed well for the extremes of birth weight for gestation (<1500 g and >=32 weeks, AUC 0.50-0.65; >=1500 g and <32 weeks, AUC 0.60-0.62). Conclusion(s): There was no difference in prediction power for adverse outcome between cohorting VLGA or VLBW despite substantial bias in SGA population. Either cohorting practises are suitable for international benchmarking.Copyright © 2017 The Author(s).

Published
2017

6. Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants

Author

Koller-Smith, LIM, Shah, PS, Ye, XY, Sjörs, G, Wang, YA, Chow, SSW, Darlow, BA, Lee, SK, Håkanson, S, Lui, K, Marshall, P, Craven, P, Simmer, K, Stack, J, Knight, D, Watkins, A, Ramsden, A, Tan, K, Bawden, K, Downe, L, Singde, V, Stewart, M, Berry, A, Hunt, R, Kilburn, C, Dargaville, P, Paradisis, M, Evans, N, Reid, S, Cartwright, D, Kuschel, C, Doyle, L, Numa, A, Kecskes, Z, Badawi, N, Koh, G, Resnick, S, Tracy, M, Tarnow-Mordi, W, Andersen, C, Austin, N, Darlow, B, Broadbent, R, Corban, J, Mildenhall, L, Battin, M, Bourchier, D, Richardson, V, Haslam, R, Rajadurai, VS, Kajetanowicz, A, Synnes, A, Rouvinez-Bouali, N, Piedboeuf, B, Bertelle, V, Bulleid, B, Yee, W, Shivananda, S, Lee, KS, Seshia, M, Barrington, K, Lefebvre, F, McMillan, D, Andrews, W, Kovacs, L, Dow, K, da Silva, O, Riley, P, Peliowski, A, Aziz, K, Cieslak, Z, Kalapesi, Z, Sankaran, K, Faucher, D, Alvaro, R, Canning, R, Ojah, C, Monterrosa, L, Dunn, M, Sorokan, T, Harrison, A, Nwaesei, C, Adie, M, Håkansson, S, Segerdahl, N, Morad, T, Morén, S, Stenberg, Å, Simonsson, C, Stigsson, L, Christensen, JL, Åmasn, L, Ingemanson, F, österdal, L, Ellström, KG, Abrahamsson, T, Heimdahl, I, Hägg, T, Hedlund, A, Lund, EE, Koller-Smith, LIM, Shah, PS, Ye, XY, Sjörs, G, Wang, YA, Chow, SSW, Darlow, BA, Lee, SK, Håkanson, S, Lui, K, Marshall, P, Craven, P, Simmer, K, Stack, J, Knight, D, Watkins, A, Ramsden, A, Tan, K, Bawden, K, Downe, L, Singde, V, Stewart, M, Berry, A, Hunt, R, Kilburn, C, Dargaville, P, Paradisis, M, Evans, N, Reid, S, Cartwright, D, Kuschel, C, Doyle, L, Numa, A, Kecskes, Z, Badawi, N, Koh, G, Resnick, S, Tracy, M, Tarnow-Mordi, W, Andersen, C, Austin, N, Darlow, B, Broadbent, R, Corban, J, Mildenhall, L, Battin, M, Bourchier, D, Richardson, V, Haslam, R, Rajadurai, VS, Kajetanowicz, A, Synnes, A, Rouvinez-Bouali, N, Piedboeuf, B, Bertelle, V, Bulleid, B, Yee, W, Shivananda, S, Lee, KS, Seshia, M, Barrington, K, Lefebvre, F, McMillan, D, Andrews, W, Kovacs, L, Dow, K, da Silva, O, Riley, P, Peliowski, A, Aziz, K, Cieslak, Z, Kalapesi, Z, Sankaran, K, Faucher, D, Alvaro, R, Canning, R, Ojah, C, Monterrosa, L, Dunn, M, Sorokan, T, Harrison, A, Nwaesei, C, Adie, M, Håkansson, S, Segerdahl, N, Morad, T, Morén, S, Stenberg, Å, Simonsson, C, Stigsson, L, Christensen, JL, Åmasn, L, Ingemanson, F, österdal, L, Ellström, KG, Abrahamsson, T, Heimdahl, I, Hägg, T, Hedlund, A, and Lund, EE

Abstract

© 2017 The Author(s). Background: Compared to very low gestational age (<32 weeks, VLGA) cohorts, very low birth weight (<1500 g; VLBW) cohorts are more prone to selection bias toward small-for-gestational age (SGA) infants, which may impact upon the validity of data for benchmarking purposes. Method: Data from all VLGA or VLBW infants admitted in the 3 Networks between 2008 and 2011 were used. Two-thirds of each network cohort was randomly selected to develop prediction models for mortality and composite adverse outcome (CAO: mortality or cerebral injuries, chronic lung disease, severe retinopathy or necrotizing enterocolitis) and the remaining for internal validation. Areas under the ROC curves (AUC) of the models were compared. Results: VLBW cohort (24,335 infants) had twice more SGA infants (20.4% vs. 9.3%) than the VLGA cohort (29,180 infants) and had a higher rate of CAO (36.5% vs. 32.6%). The two models had equal prediction power for mortality and CAO (AUC 0.83), and similarly for all other cross-cohort validations (AUC 0.81-0.85). Neither model performed well for the extremes of birth weight for gestation (<1500 g and ≥32 weeks, AUC 0.50-0.65; ≥1500 g and <32 weeks, AUC 0.60-0.62). Conclusion: There was no difference in prediction power for adverse outcome between cohorting VLGA or VLBW despite substantial bias in SGA population. Either cohorting practises are suitable for international benchmarking.

Published
2017

7. Gene expression profiling in necrotizing enterocolitis reveals pathways common to those reported in Crohn's disease

Author

Tremblay, É. (Éric), Thibault, M.-P. (Marie-Pier), Ferretti, E. (Emanuela), Babakissa, C. (Corentin), Bertelle, V. (Valérie), Bettolli, M. (Marcos), Burghardt, K.M. (Karolina Maria), Colombani, J.-F. (Jean-François), Grynspan, D. (David), Levy, E. (Emile), Lu, P. (Peng), Mayer, S. (Sandeep), Ménard, D. (Daniel), Mouterde, O. (Olivier), Renes, I.B. (Ingrid), Seidman, E.G. (Ernest G.), Beaulieu, J.-F. (Jean-François), Tremblay, É. (Éric), Thibault, M.-P. (Marie-Pier), Ferretti, E. (Emanuela), Babakissa, C. (Corentin), Bertelle, V. (Valérie), Bettolli, M. (Marcos), Burghardt, K.M. (Karolina Maria), Colombani, J.-F. (Jean-François), Grynspan, D. (David), Levy, E. (Emile), Lu, P. (Peng), Mayer, S. (Sandeep), Ménard, D. (Daniel), Mouterde, O. (Olivier), Renes, I.B. (Ingrid), Seidman, E.G. (Ernest G.), and Beaulieu, J.-F. (Jean-François)

Abstract

Background: Necrotizing enterocolitis (NEC) is the most frequent life-threatening gastrointestinal disease experienced by premature infants in neonatal intensive care units. The challenge for neonatologists is to detect early clinical manifestations of NEC. One strategy would be to identify specific markers that could be used as early diagnostic tools to identify preterm infants most at risk of developing NEC or in the event of a diagnostic dilemma of suspected disease. As a first step in this direction, we sought to determine the specific gene expression profile of NEC. Methods: Deep sequencing (RNA-Seq) was used to establish the gene expression profiles in ileal samples obtained from preterm infants diagnosed with NEC and non-NEC conditions. Data were analyzed with Ingenuity Pathway Analysis and ToppCluster softwares. Results: Data analysis indicated that the most significant functional pathways over-represented in NEC neonates were associated with immune functions, such as altered T and B cell signaling, B cell development, and the role of pattern recognition receptors for bacteria and viruses. Among the genes that were strongly modulated in neonates with NEC, we observed a significant degree of similarity when compared with those reported in Crohn's disease, a chronic inflammatory bowel disease. Conclusions: Gene expression profile analysis revealed a predominantly altered immune response in the intestine of NEC neonates. Moreover, comparative analysis between NEC and Crohn's disease gene expression repertoires revealed a surprisingly high degree of similarity between these two conditions suggesting a new avenue for identifying NEC biomarkers.

Published
2016
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8. Gene expression profiling in necrotizing enterocolitis reveals pathways common to those reported in Crohn's disease

Author

Tremblay, E, Thibault, M P, Ferretti, E, Babakissa, C, Bertelle, V, Bettolli, M, Burghardt, K M, Colombani, J F, Grynspan, D, Levy, E, Lu, Peng, Mayer, S, Menard, D, Mouterde, O, Renes, IB, Seidman, E G, Beaulieu, J F, Tremblay, E, Thibault, M P, Ferretti, E, Babakissa, C, Bertelle, V, Bettolli, M, Burghardt, K M, Colombani, J F, Grynspan, D, Levy, E, Lu, Peng, Mayer, S, Menard, D, Mouterde, O, Renes, IB, Seidman, E G, and Beaulieu, J F

Published
2016

9. Association between birth route and late-onset sepsis in very preterm neonates

Author

Olivier, F, Bertelle, V, Shah, P S, Drolet, C, and Piedboeuf, B

Abstract

Objective:: To evaluate the association between birth route and late-onset sepsis (LOS), and coagulase-negative Staphylococcal (CONS)-related LOS in preterm neonates. Study Design:: In this observational study, data from 20,038 infants born between 22 and 32 weeks’ gestation and admitted to Canadian neonatal intensive care units between 2010 and 2014 were analyzed retrospectively. The impact of birth route on LOS was assessed using univariate analysis and multiple logistic regression. Results:: A total of 8218 neonates were born via vaginal route and 11,820 via cesarean section. Incidence rates of LOS for infants born vaginally and via a cesarean section were 13.1 and 13.2%, respectively, and there was no significant difference in odds of LOS between the groups (adjusted odds ratio (AOR): 0.99; 95% CI 0.87 to 1.12); however, the odds of CONS sepsis were higher in the cesarean group (AOR: 1.15; 95% CI: 1.01 to 1.32). Conclusion:: Birth route did not have an impact on LOS, but was associated with CONS-related LOS.

Published
2016
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10. Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants

Author

Louise Koller-Smith, Shah, Ps, Ye, Xy, Sjörs, G., Wang, Ya, Chow, Ssw, Darlow, Ba, Lee, Sk, Håkanson, S., Lui, K., Marshall, P., Craven, P., Simmer, K., Stack, J., Knight, D., Watkins, A., Ramsden, A., Tan, K., Bawden, K., Downe, L., Singde, V., Stewart, M., Berry, A., Hunt, R., Kilburn, C., Dargaville, P., Paradisis, M., Evans, N., Reid, S., Cartwright, D., Kuschel, C., Doyle, L., Numa, A., Kecskes, Z., Badawi, N., Koh, G., Resnick, S., Tracy, M., Tarnow-Mordi, W., Andersen, C., Austin, N., Darlow, B., Broadbent, R., Corban, J., Mildenhall, L., Battin, M., Bourchier, D., Richardson, V., Haslam, R., Rajadurai, Vs, Kajetanowicz, A., Synnes, A., Rouvinez-Bouali, N., Piedboeuf, B., Bertelle, V., Bulleid, B., Yee, W., Shivananda, S., Lee, Ks, Seshia, M., Barrington, K., Lefebvre, F., Mcmillan, D., Andrews, W., Kovacs, L., Dow, K., Da Silva, O., Riley, P., Peliowski, A., Aziz, K., Cieslak, Z., Kalapesi, Z., Sankaran, K., Faucher, D., Alvaro, R., Canning, R., Ojah, C., Monterrosa, L., Dunn, M., Sorokan, T., Harrison, A., Nwaesei, C., Adie, M., Håkansson, S., Segerdahl, N., Morad, T., Morén, S., Stenberg, Å, Simonsson, C., Stigsson, L., Christensen, Jl, Åmasn, L., Ingemanson, F., Österdal, L., Ellström, Kg, Abrahamsson, T., Heimdahl, I., Hägg, T., Hedlund, A., and Lund, Ee

Subjects
Male, Canada, Gestational Age, Infant, Premature, Diseases, Pediatrics, Decision Support Techniques, Risk Factors, Infant Mortality, Humans, Infant, Very Low Birth Weight, Hospital Mortality, Selection Bias, Retrospective Studies, Sweden, Models, Statistical, Infant, Newborn, Australia, Infant, Prognosis, Benchmarking, ROC Curve, Area Under Curve, Infant, Extremely Premature, Infant, Small for Gestational Age, Intensive Care, Neonatal, Female, Infant, Premature, New Zealand
Abstract

© 2017 The Author(s). Background: Compared to very low gestational age (

11. Association of Shift-Level Organizational Factors with Nosocomial Infection in the Neonatal Intensive Care Unit.

Author

Fazio M, Jabbour E, Patel S, Bertelle V, Lapointe A, Lacroix G, Gravel S, Cabot M, Piedboeuf B, and Beltempo M

Abstract

Objective: To evaluate the association between shift-level organizational data (unit occupancy, nursing overtime ratios [OTRs], and nursing provision ratios [NPRs]) with nosocomial infection (NI) among infants born very preterm in the neonatal intensive care unit (NICU)., Study Design: This was a multicenter, retrospective cohort study, including 1921 infants 23 0/7 -32 6/7  weeks of gestation admitted to 3 tertiary-level NICUs in Quebec between 2014 and 2018. Patient characteristics and outcomes (NIs) were obtained from the Canadian Neonatal Network database and linked to administrative data. For each shift, unit occupancy (occupied/total beds), OTR (nursing overtime hours/total nursing hours), and NPR (number of actual/number of recommended nurses) were calculated. Mixed-effect logistic regression models were used to calculate aOR for the association of organizational factors (mean over 3 days) with the risk of NI on the following day for each infant., Results: Rate of NI was 11.5% (220/1921). Overall, median occupancy was 88.7% [IQR 81.0-94.6], OTR 4.4% [IQR 1.5-7.6], and NPR 101.1% [IQR 85.5-125.1]. A greater 3-day mean OTR was associated with greater odds of NI (aOR 1.08, 95% CI 1.02-1.15), a greater 3-day mean NPR was associated lower odds of NI (aOR 0.96, 95% CI 0.95-0.98), and occupancy was not associated with NI (aOR, 0.99, 95% CI 0.96-1.02). These findings were consistent across multiple sensitivity analyses., Conclusions: Nursing overtime and nursing provision are associated with the adjusted odds of NI among infants born very preterm in the NICU. Further interventional research is needed to infer causality., Competing Interests: This project was funded by an Early Career Investigator Grant from the 10.13039/501100000024Canadian Institutes of Health Research (CIHR) Institute of Human Development, Child, and Youth Health (10.13039/501100000031IHDCYH) and an Early Career Investigator Grant from the Montreal Children’s Hospital Foundation. M.B. holds a FRSQ Clinical Research Scholar Career Award Junior 1 and funding from the Ministry of Health of Quebec. The Canadian Neonatal Network is supported by a grant from the CIHR funding the Canadian Preterm Birth Network (PBN 150642). The funding agencies had no role in the design or conduct of the study; the collection, management, analysis, or interpretation of the data; the preparation, review, or approval of the manuscript; or the decision to submit the manuscript for publication. The authors report no conflicts of interest., (© 2024 The Author(s).)

Published
2024
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12. Proteomics Profiling of Stool Samples from Preterm Neonates with SWATH/DIA Mass Spectrometry for Predicting Necrotizing Enterocolitis.

Author

Gagné D, Shajari E, Thibault MP, Noël JF, Boisvert FM, Babakissa C, Levy E, Gagnon H, Brunet MA, Grynspan D, Ferretti E, Bertelle V, and Beaulieu JF

Subjects
Biomarkers analysis, Humans, Infant, Infant, Newborn, Infant, Very Low Birth Weight, Mass Spectrometry, Prospective Studies, Proteomics, Enterocolitis, Necrotizing diagnosis, Infant, Newborn, Diseases, Infant, Premature, Diseases
Abstract

Necrotizing enterocolitis (NEC) is a life-threatening condition for premature infants in neonatal intensive care units. Finding indicators that can predict NEC development before symptoms appear would provide more time to apply targeted interventions. In this study, stools from 132 very-low-birth-weight (VLBW) infants were collected daily in the context of a multi-center prospective study aimed at investigating the potential of fecal biomarkers for NEC prediction using proteomics technology. Eight of the VLBW infants received a stage-3 NEC diagnosis. Stools collected from the NEC infants up to 10 days before their diagnosis were available for seven of them. Their samples were matched with those from seven pairs of non-NEC controls. The samples were processed for liquid chromatography-tandem mass spectrometry analysis using SWATH/DIA acquisition and cross-compatible proteomic software to perform label-free quantification. ROC curve and principal component analyses were used to explore discriminating information and to evaluate candidate protein markers. A series of 36 proteins showed the most efficient capacity with a signature that predicted all seven NEC infants at least a week in advance. Overall, our study demonstrates that multiplexed proteomic signature detection constitutes a promising approach for the early detection of NEC development in premature infants.

Published
2022
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13. Lipocalin-2 and calprotectin as stool biomarkers for predicting necrotizing enterocolitis in premature neonates.

Author

Thibault MP, Tremblay É, Horth C, Fournier-Morin A, Grynspan D, Babakissa C, Levy E, Ferretti E, Bertelle V, and Beaulieu JF

Subjects
Biomarkers metabolism, Enterocolitis, Necrotizing metabolism, Enzyme-Linked Immunosorbent Assay, Female, Humans, Infant, Newborn, Intensive Care Units, Neonatal, Male, Enterocolitis, Necrotizing diagnosis, Feces chemistry, Infant, Premature, Leukocyte L1 Antigen Complex metabolism, Lipocalin-2 metabolism
Abstract

Background: Necrotizing enterocolitis (NEC) is a major challenge for premature infants in neonatal intensive care units and efforts toward the search for indicators that could be used to predict the development of the disease have given limited results until now., Methods: In this study, stools from 132 very low birth weight infants were collected daily in the context of a multi-center prospective study aimed at investigating the potential of fecal biomarkers for NEC prediction. Eight infants (~6%) received a stage 3 NEC diagnosis. Their stools collected up to 10 days before diagnosis were included and matched with 14 non-NEC controls and tested by ELISA for the quantitation of eight biomarkers., Results: Biomarkers were evaluated in all available stool samples leading to the identification of lipocalin-2 and calprotectin as the two most reliable predicting markers over the 10-day period prior to NEC development. Pooling the data for each infant confirmed the significance of lipocalin-2 and calprotectin, individually and in combination 1 week in advance of the NEC clinical diagnosis., Conclusions: The lipocalin-2 and calprotectin tandem represents a significant biomarker signature for predicting NEC development. Although not yet fulfilling the "perfect biomarker" criteria, it represents a first step toward it., Impact: Stool biomarkers can be used to predict NEC development in very low birth weight infants more than a week before the diagnosis. LCN2 was identified as a new robust biomarker for predicting NEC development, which used in conjunction with CALPRO, allows the identification of more than half of the cases that will develop NEC in very low birth weight infants. Combining more stool markers with the LCN2/CALPRO tandem such as PGE2 can further improve the algorithm for the prediction of NEC development., (© 2021. The Author(s).)

Published
2022
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14. Gene expression profiling in necrotizing enterocolitis reveals pathways common to those reported in Crohn's disease.

Author

Tremblay É, Thibault MP, Ferretti E, Babakissa C, Bertelle V, Bettolli M, Burghardt KM, Colombani JF, Grynspan D, Levy E, Lu P, Mayer S, Ménard D, Mouterde O, Renes IB, Seidman EG, and Beaulieu JF

Subjects
Antiviral Agents metabolism, Female, Humans, Immunity, Innate genetics, Infant, Newborn, Male, Pregnancy, Reproducibility of Results, Sequence Analysis, RNA, Crohn Disease complications, Crohn Disease genetics, Enterocolitis, Necrotizing complications, Enterocolitis, Necrotizing genetics, Gene Expression Profiling, Signal Transduction genetics
Abstract

Background: Necrotizing enterocolitis (NEC) is the most frequent life-threatening gastrointestinal disease experienced by premature infants in neonatal intensive care units. The challenge for neonatologists is to detect early clinical manifestations of NEC. One strategy would be to identify specific markers that could be used as early diagnostic tools to identify preterm infants most at risk of developing NEC or in the event of a diagnostic dilemma of suspected disease. As a first step in this direction, we sought to determine the specific gene expression profile of NEC., Methods: Deep sequencing (RNA-Seq) was used to establish the gene expression profiles in ileal samples obtained from preterm infants diagnosed with NEC and non-NEC conditions. Data were analyzed with Ingenuity Pathway Analysis and ToppCluster softwares., Results: Data analysis indicated that the most significant functional pathways over-represented in NEC neonates were associated with immune functions, such as altered T and B cell signaling, B cell development, and the role of pattern recognition receptors for bacteria and viruses. Among the genes that were strongly modulated in neonates with NEC, we observed a significant degree of similarity when compared with those reported in Crohn's disease, a chronic inflammatory bowel disease., Conclusions: Gene expression profile analysis revealed a predominantly altered immune response in the intestine of NEC neonates. Moreover, comparative analysis between NEC and Crohn's disease gene expression repertoires revealed a surprisingly high degree of similarity between these two conditions suggesting a new avenue for identifying NEC biomarkers.

Published
2016
Full Text
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