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dear colleagues and many thanks for the opportunity to present our starting
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personalised prediction of weight changes in the first week of life
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most of the baby is born in switzerland are born in a hospital so that gives us
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as caregivers the opportunity to monitor done quite closely in the first phase of life
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after discharge at home there is still a net to catch
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babies with the problem quite closely and quite fast so
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we have to parents to look after the baby you have to admit wife so coming home and support parents
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and you have to pediatricians in their offices and at emergency departments
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but i'm sure that all of you know some cases where a baby i fall through a hole in this neck
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and i'm sure that all of you already discharged home at eight with the bad feeling
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so the goal of our group is to put big problems and at the very beginning so even before the
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problem starts to show it up in this first studies we have a closer look at the weight
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i do not have to tell you that there is a physiological weight loss and that multiple
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munich landed turtle factors are responsible for this weight change in the first phase of life
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the problem so far is that we only use normal grams and this normal grams
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are limited because they only implement a few characteristics and they are not predictive
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in a first started we already showed that it is possible to predict the
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way change for the first days of life within seventy two hours
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so in this study now we enlarge our group and we wanted to to
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identify and quantify more predictive new nightline maternal factors influencing the weight change
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furthermore we want to implement the effect of supplemental feeding and in
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the end to improve in uh our online prediction too
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to achieve his goals we performed there we just back to study of
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two completed first years and born at university hospital of possible
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so in total we included in the end approximately three and a half thousand and you're next
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we can split them up into two groups one was the learning top
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a set and one was that on one patient out the set
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so here you can see our model so we split that wage changing to to like loops so
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one was okay in we presenting the weight gain and came out with presenting the weight loss
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as mentioned before we furthermore implemented those effect of formal
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male and the those effect of pond breast milk
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and after building up this mortal we saw that there are five factors influencing the way
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changing the first phase of life so we saw that the station all age sex
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billy remote number of infants and the mothers h. has an
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influence on the way change of a newborn infant
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to show you this effects you see here and some curves and all of this
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curves represent the same baby the only thing we change was the maternal age
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and you can see that the younger the mark what's the less
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the baby last what of way and it uh and regained
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the weight of off the compared to pay people won't buy another button will the mother
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the saying you can see for because they should know h. so the
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younger to baby what's the slower you regained weight off to burst
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so off to an take race results we we build up our and online tool and here you
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can see the mosque where you can enter all the needed characteristics and the needed numbers
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and after pushing the button for cost weight software will give you
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a predictive wait curve for the first seven days of life
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here to illustrate once more to differences you can see on the left side
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and the same baby like on the right side to the only difference is is that the league remote
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and the mother stage and you can see that the baby on the right side loses
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more than ten percent we it took days as the line to into when
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and i'm on the left side you can see that this baby will not have lost more than ten percent
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so taking all these results together we can conclude that it is possible to predict the
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way change for the first seven days of life after three days of live
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next step now will be to perform up um a prospective study
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and to implement furthermore to be you being changed in this small so
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we hope to close the loop uh the holes in the net
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personalise madison union apology now i would like to thank the whole group

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Conference program

Opening
Matthias Roth-Kleiner, Lausanne
16 Jan. 2018 · 9:34 a.m.
Welcome words
Mathias Nelle, Bern
16 Jan. 2018 · 9:36 a.m.
Personalised prediction of weight changes in the first week of life
Severin Kasser, UKBB
16 Jan. 2018 · 9:41 a.m.
Neurofilament serum levels as biomarker of neuronal injury in very preterm born infants
Antoinette Depoorter, PhD Candidate
16 Jan. 2018 · 9:49 a.m.
Neonatal red blood cell (RBC) transfusion practices in Switzerland
L. Gosztonyi, C. Rüegger, R. Arlettaz, Neonatology USZ
16 Jan. 2018 · 9:58 a.m.
NEO (Neonatal Esophageal Observation) Tube - A feeding tube with monitoring function
Patrizia Simmen, Department of Neonatology, University of Basel Children's Hospital
16 Jan. 2018 · 10:25 a.m.
Less invasive surfactant Application - Pro
Angela Kribs, Köln (DE)
16 Jan. 2018 · 11:33 a.m.
Less invasive surfactant Application - Contra
Sven Schulzke, Basel
16 Jan. 2018 · 11:51 a.m.
Q&A - Less invasive surfactant Application
Panel
16 Jan. 2018 · 12:14 p.m.
Stem cells and birth
Martin Müller, Bern
16 Jan. 2018 · 2:32 p.m.
Stem cells and white matter disease
Raphael Guzman, Basel
16 Jan. 2018 · 3:16 p.m.
Protect the neurons: The challenge of the neonatologist and the researcher
Anita Truttmann, Service de Néonatologie, CHUV
16 Jan. 2018 · 4:12 p.m.