Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
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
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
- Publication Type:
- Journal Article
- Citation:
- BMC Pediatrics, 2017, 17 (1)
- Issue Date:
- 2017-07-14
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© 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.
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