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2. 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

3. 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

4. Impact of pulse oximetry screening on the detection of duct dependent congenital heart disease: a Swedish prospective screening study in 39 821 newborns

Author

de-Wahl Granelli, A., primary, Wennergren, M., additional, Sandberg, K., additional, Mellander, M., additional, Bejlum, C., additional, Inganas, L., additional, Eriksson, M., additional, Segerdahl, N., additional, Agren, A., additional, Ekman-Joelsson, B.-M., additional, Sunnegardh, J., additional, Verdicchio, M., additional, and Ostman-Smith, I., additional

Published
2009
Full Text
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6. 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 (

7. Impact of pulse oximetry screening on the detection of duct dependent congenital heart disease: a Swedish prospective screening study in 39,821 newborns.

Author

de-Wahl Granelli A, Wennergren M, Sandberg K, Mellander M, Bejlum C, Inganäs L, Eriksson M, Segerdahl N, Agren A, Ekman-Joelsson BM, Sunnegårdh J, Verdicchio M, and Ostman-Smith I

Subjects
False Positive Reactions, Heart Defects, Congenital epidemiology, Humans, Infant, Newborn, Physical Examination, Pilot Projects, Prospective Studies, Sweden epidemiology, Heart Defects, Congenital diagnosis, Neonatal Screening methods, Oximetry methods
Abstract

Objective: To evaluate the use of pulse oximetry to screen for early detection of life threatening congenital heart disease., Design: Prospective screening study with a new generation pulse oximeter before discharge from well baby nurseries in West Götaland. Cohort study comparing the detection rate of duct dependent circulation in West Götaland with that in other regions not using pulse oximetry screening. Deaths at home with undetected duct dependent circulation were included., Setting: All 5 maternity units in West Götaland and the supraregional referral centre for neonatal cardiac surgery., Participants: 39,821 screened babies born between 1 July 2004 and 31 March 2007. Total duct dependent circulation cohorts: West Götaland n=60, other referring regions n=100., Main Outcome Measures: Sensitivity, specificity, positive and negative predictive values, and likelihood ratio for pulse oximetry screening and for neonatal physical examination alone., Results: In West Götaland 29 babies in well baby nurseries had duct dependent circulation undetected before neonatal discharge examination. In 13 cases, pulse oximetry showed oxygen saturations

Published
2009
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