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Determinants of developmental outcomes in a very preterm Canadian cohort
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  • Published on: 26 October 2017
    Re: Logistic regression equation and (co)variance matrix for estimating developmental outcome in very preterm infants
    • Anne Synnes, Neonatologist BC Women’s Hospital and Health Centre

    Dear Dr. Degraeuwe,

    We thank you very much for your question and we would appreciate having the opportunity to share the full results of the regression analyses for our 3 outcomes: neurodevelopmental impairment, significant neurodevelopmental impairment and significant neurodevelopmental impairment or death. The omission of this information was due solely to the manuscript restrictions on words and tables. We agree with you that this information is useful. As we are not able to provide tables in an e-letter, we would be happy to share this information via e-mail with any interested reader.

    Sincerely,

    Anne Synnes, MDCM, MHSC, FRCPC
    Neonatologist, BC Women’s Hospital and Health Centre,
    Clinical Professor, Department of Pediatrics, University of British Columbia
    Director, Canadian Neonatal Follow-Up Network
    Vancouver, Canada

    Conflict of Interest:
    None declared.
  • Published on: 19 April 2017
    Logistic regression equation and (co)variance matrix for estimating developmental outcome in very preterm infants

    Neonatal health-care providers have the duty to fully inform parents about the prognosis of their sick, extremely preterm infant. Prognostication is however difficult since survival and long-term outcome are multifactorially influenced, and the quality of prognosis research is often poor. [1] By reporting "Determinants of developmental outcomes in a very preterm Canadian cohort" [2], Synnes et al. extend the previous wor...

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    Conflict of Interest:
    None declared.