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Association between maternal BMI and
incidence of cerebral palsy
Stefan Johansson, MD PhD
associate professor, Clinical Epidemiology Unit, Karolinska Institutet
consultant neonatologist, Sachs’ Children and Youth Hospital
Stockholm, Sweden
stefan.johansson@ki.se
Financial conflicts of interest
 None.
jENS, 3 November 2017Stefan Johansson
www.ebneo.org
www.99nicu.org
Association between maternal BMI in early
pregnancy and incidence of cerebral palsy
 Full-text online
 JAMA. 2017;317(9):925-936
 doi:10.1001/jama.2017.0945
 Project group:
 Eduardo Villamor (US)
 Kristina Tedroff (Swe)
 Mark Peterson (US)
 Stefan Johansson (Swe)
 Martin Neovius (Swe)
 Gunnar Petersson (Swe)
 Sven Cnattingius (Swe)
jENS, 3 November 2017Stefan Johansson
Maternal obesity linked to neonatal morbidities
 Maternal overweight and obesity is associated with
 preterm birth
 birth asphyxia in term births
 Although preterm birth and birth asphyxia increase the risk,
the cause of cerebral palsy is commonly unknown
 Link between maternal obesity and offspring cerebral palsy?
jENS, 3 November 2017Stefan Johansson
Nationwide cohort study
 Medical Birth Register:
live-born singleton births at ≥22 weeks, in Sweden 1997-2011
 National Patient Register:
recorded diagnosis of cerebral palsy (ICD10-code G80) 1997-2012
jENS, 3 November 2017Stefan Johansson
Study population and occurence of cerebral palsy
 1.4 million children, followed during 11.5 million person-years
 3029 children had cerebral palsy
 2.1 per 1000 children
 2.6 per 10.000 person-years
jENS, 3 November 2017Stefan Johansson
Apgar scores at 5 minutes
No. with
cerebral palsy
Rate / 10.000
person-years
7-10 2359 2
4-6 339 42
0-3 223 134
missing data 108 12
jENS, 3 November 2017Stefan Johansson
Hypoxic ischemic encephalopathy
No. with
cerebral palsy
Rate / 10.000
person-years
No 2623 2
Yes 406 253
jENS, 3 November 2017Stefan Johansson
Neonatal seizures
No. with
cerebral palsy
Rate / 10.000
person-years
No 2519 2
Yes 510 267
jENS, 3 November 2017Stefan Johansson
Gestational age at delivery
No. with
cerebral palsy
Rate / 10.000
person-years
Term (≥37w) 2082 2
Moderately preterm (32-36w) 376 8
Very preterm (28-31w) 287 62
Extremely preterm (22-27w) 197 115
missing data 87 16
jENS, 3 November 2017Stefan Johansson
jENS, 3 November 2017Stefan Johansson
Maternal BMI Cerebral palsy
Main exposure and primary outcome
jENS, 3 November 2017Stefan Johansson
Maternal BMI Cerebral palsy
confounders
Confounders
Maternal covariates:
• Age
• Country of origin
• Educational level
• Cohabitation
• Parity
• Height
• Smoking
• Year of delivery
jENS, 3 November 2017Stefan Johansson
Maternal BMI Cerebral palsy
confounders
Confounders and mediators
Maternal covariates:
• Age
• Country of origin
• Educational level
• Cohabitation
• Parity
• Height
• Smoking
• Year of delivery
mediators
Infant covariates:
• Instrumental delivery
• Macrosomia
• Apgar scores
• Asphyxia-related diagnoses
• Congenital malformations
• Neonatal infections
jENS, 3 November 2017Stefan Johansson
Beware of the
CAUSAL PATHWAY POLICE DEPARTMENT
jENS, 3 November 2017Stefan Johansson
But… it is possible to investigate
exposure-mediator relations
 What is happening where*
 total BMI effect
 direct BMI effect
 indirect BMI effect
through mediator
*Possible to explore with the Valeri and
VanderWeele’s formulas applied in Cox
regression analyses
Maternal BMI-class and risk of cerebral palsy
jENS, 3 November 2017Stefan Johansson
1.09
1.00
1.22 1.28
1.54
2.02
Numbers of children with cerebral palsy* and adjusted** hazard ratios (95% CI)
BMI <18.5
(n=64)
BMI 18.5-24.9
(n=1487)
BMI 25.0-29.9
(n=728)
BMI 30.0-34.9
(n=239)
BMI 35.0-39.9
(n=88)
BMI ≥40.0
(n=38)
*(n=x) denotes number of cerebral palsy cases per BMI-category
**adjusted for maternal age, country of origin, education level, cohabitation with a partner, parity, height, smoking during
pregnancy and year of delivery
Stratification by gestational age
 Association between maternal BMI and cerebral palsy
was significant only in children born at term
jENS, 3 November 2017Stefan Johansson
Mediation analyses (term births)
jENS, 3 November 2017Stefan Johansson
Potential mediator Total BMI effect BMI effect through
mediator
Percentage of BMI
effect mediated*
Asphyxia-related complications 1.39 (1.26 - 1.53) 1.15 (1.12 - 1.17) 45
Apgar <7 at 5 minutes 1.38 (1.25 - 1.51) 1.09 (1.08 - 1.10) 30
Instrumental delivery 1.41 (1.29 - 1.55) 1.05 (1.04 - 1.06) 17
CNS malformation 1.40 (1.28 - 1.54) 1.04 (1.02 - 1.06) 13
Any congenital malformation 1.40 (1.27 - 1.53) 1.02 (1.02 - 1.03) 7
Neonatal infection 1.41 (1.28 - 1.55) 1.02 (1.01 - 1.02) 6
Traumatic delivery 1.42 (1.29 - 1.55) 1.00 (1.00 - 1.01) 2
Macrosomia (LGA) 1.42 (1.29 - 1.56) 0.99 (0.98 - 1.00) 0
*Sum of percentages is not 100% because the effects of mediators are not mutually exclusive,
and mediators could interact with each other.
Summary
jENS, 3 November 2017Stefan Johansson
 Cerebral palsy was diagnosed in ~ 2 per 1000 children,
and ~ ¾ cases occured in children born at term
 The higher maternal BMI, the higher the risk of cerebral palsy
 The association was limited to children born at term and
partly mediated by asphyxia-related complications
 Given the high rate of obesity, a small effect has public health
relevance, especially considering that obesity is preventable

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Maternal BMI and risk of cerebral palsy

  • 1. Association between maternal BMI and incidence of cerebral palsy Stefan Johansson, MD PhD associate professor, Clinical Epidemiology Unit, Karolinska Institutet consultant neonatologist, Sachs’ Children and Youth Hospital Stockholm, Sweden stefan.johansson@ki.se
  • 2. Financial conflicts of interest  None. jENS, 3 November 2017Stefan Johansson
  • 5. Association between maternal BMI in early pregnancy and incidence of cerebral palsy  Full-text online  JAMA. 2017;317(9):925-936  doi:10.1001/jama.2017.0945  Project group:  Eduardo Villamor (US)  Kristina Tedroff (Swe)  Mark Peterson (US)  Stefan Johansson (Swe)  Martin Neovius (Swe)  Gunnar Petersson (Swe)  Sven Cnattingius (Swe) jENS, 3 November 2017Stefan Johansson
  • 6. Maternal obesity linked to neonatal morbidities  Maternal overweight and obesity is associated with  preterm birth  birth asphyxia in term births  Although preterm birth and birth asphyxia increase the risk, the cause of cerebral palsy is commonly unknown  Link between maternal obesity and offspring cerebral palsy? jENS, 3 November 2017Stefan Johansson
  • 7. Nationwide cohort study  Medical Birth Register: live-born singleton births at ≥22 weeks, in Sweden 1997-2011  National Patient Register: recorded diagnosis of cerebral palsy (ICD10-code G80) 1997-2012 jENS, 3 November 2017Stefan Johansson
  • 8. Study population and occurence of cerebral palsy  1.4 million children, followed during 11.5 million person-years  3029 children had cerebral palsy  2.1 per 1000 children  2.6 per 10.000 person-years jENS, 3 November 2017Stefan Johansson
  • 9. Apgar scores at 5 minutes No. with cerebral palsy Rate / 10.000 person-years 7-10 2359 2 4-6 339 42 0-3 223 134 missing data 108 12 jENS, 3 November 2017Stefan Johansson
  • 10. Hypoxic ischemic encephalopathy No. with cerebral palsy Rate / 10.000 person-years No 2623 2 Yes 406 253 jENS, 3 November 2017Stefan Johansson
  • 11. Neonatal seizures No. with cerebral palsy Rate / 10.000 person-years No 2519 2 Yes 510 267 jENS, 3 November 2017Stefan Johansson
  • 12. Gestational age at delivery No. with cerebral palsy Rate / 10.000 person-years Term (≥37w) 2082 2 Moderately preterm (32-36w) 376 8 Very preterm (28-31w) 287 62 Extremely preterm (22-27w) 197 115 missing data 87 16 jENS, 3 November 2017Stefan Johansson
  • 13. jENS, 3 November 2017Stefan Johansson Maternal BMI Cerebral palsy Main exposure and primary outcome
  • 14. jENS, 3 November 2017Stefan Johansson Maternal BMI Cerebral palsy confounders Confounders Maternal covariates: • Age • Country of origin • Educational level • Cohabitation • Parity • Height • Smoking • Year of delivery
  • 15. jENS, 3 November 2017Stefan Johansson Maternal BMI Cerebral palsy confounders Confounders and mediators Maternal covariates: • Age • Country of origin • Educational level • Cohabitation • Parity • Height • Smoking • Year of delivery mediators Infant covariates: • Instrumental delivery • Macrosomia • Apgar scores • Asphyxia-related diagnoses • Congenital malformations • Neonatal infections
  • 16. jENS, 3 November 2017Stefan Johansson Beware of the CAUSAL PATHWAY POLICE DEPARTMENT
  • 17. jENS, 3 November 2017Stefan Johansson But… it is possible to investigate exposure-mediator relations  What is happening where*  total BMI effect  direct BMI effect  indirect BMI effect through mediator *Possible to explore with the Valeri and VanderWeele’s formulas applied in Cox regression analyses
  • 18. Maternal BMI-class and risk of cerebral palsy jENS, 3 November 2017Stefan Johansson 1.09 1.00 1.22 1.28 1.54 2.02 Numbers of children with cerebral palsy* and adjusted** hazard ratios (95% CI) BMI <18.5 (n=64) BMI 18.5-24.9 (n=1487) BMI 25.0-29.9 (n=728) BMI 30.0-34.9 (n=239) BMI 35.0-39.9 (n=88) BMI ≥40.0 (n=38) *(n=x) denotes number of cerebral palsy cases per BMI-category **adjusted for maternal age, country of origin, education level, cohabitation with a partner, parity, height, smoking during pregnancy and year of delivery
  • 19. Stratification by gestational age  Association between maternal BMI and cerebral palsy was significant only in children born at term jENS, 3 November 2017Stefan Johansson
  • 20. Mediation analyses (term births) jENS, 3 November 2017Stefan Johansson Potential mediator Total BMI effect BMI effect through mediator Percentage of BMI effect mediated* Asphyxia-related complications 1.39 (1.26 - 1.53) 1.15 (1.12 - 1.17) 45 Apgar <7 at 5 minutes 1.38 (1.25 - 1.51) 1.09 (1.08 - 1.10) 30 Instrumental delivery 1.41 (1.29 - 1.55) 1.05 (1.04 - 1.06) 17 CNS malformation 1.40 (1.28 - 1.54) 1.04 (1.02 - 1.06) 13 Any congenital malformation 1.40 (1.27 - 1.53) 1.02 (1.02 - 1.03) 7 Neonatal infection 1.41 (1.28 - 1.55) 1.02 (1.01 - 1.02) 6 Traumatic delivery 1.42 (1.29 - 1.55) 1.00 (1.00 - 1.01) 2 Macrosomia (LGA) 1.42 (1.29 - 1.56) 0.99 (0.98 - 1.00) 0 *Sum of percentages is not 100% because the effects of mediators are not mutually exclusive, and mediators could interact with each other.
  • 21. Summary jENS, 3 November 2017Stefan Johansson  Cerebral palsy was diagnosed in ~ 2 per 1000 children, and ~ ¾ cases occured in children born at term  The higher maternal BMI, the higher the risk of cerebral palsy  The association was limited to children born at term and partly mediated by asphyxia-related complications  Given the high rate of obesity, a small effect has public health relevance, especially considering that obesity is preventable

Editor's Notes

  1. Thanks for the introduction. SO, my name is Stefan Johansson, and I will present some Results from our project on maternal BMI and risk of cerebral palsy in the offspring.
  2. I have no financial conflicts of interests related to this study.
  3. But, I would like to promote something two great things: that I and colleagues around the world founded in 2015: the International Society for Evidence-based Neonatology. You can have a look on the web site ebneo.org
  4. I high-light the international web site 99nicu.org, that I started with colleagues in 2006.
  5. Back to this presentation: I will speak about the association between maternal BMI in early pregnancy and the incidence of cerebral palsy in the offspring. Our projekt was published in JAMA in March this year and we were a team of people behind the project.
  6. Maternal obesity not only increase the risks of gestational diabetes and preeclampsia, it is also linked to neonatal morbidities. Maternal overyweight and obesity increase the risk of both indicated and spontaneous preterm birth, and increase the risks of birth asphyxia in term births. The causes of CP is commonly unknown. Given the increased risks of obstetric complications, a link between maternal BMI and cerebral palsy has ben suggested.
  7. We did a nationwide cohort study, including all singelton livebirths in sweden 1997-2011 identified in the Medical Birth Register which includes virtually all births. Diagnoses of CP was sourced from the Patient Register during 1997-2012.
  8. Our study population included 1.4 million children followed during 11.5 personyears. IN all 3029 children were diagnosed with CP, corresponding to 2.6 per 10.000 personyears The majority, 71% were born at term.
  9. Our main exposure was maternal BMI recorded at the first antenatal visit. Our primary outcome was occurence of CP.
  10. We considered maternal covariates as potential confounders: age etct.
  11. We also investigated what factors may mediate the association, including instrumental delivery, macrosomia, low apgar scores etc.
  12. We also investigated what factors may mediate the association, including instrumental delivery, macrosomia, low apgar scores etc.
  13. We also investigated what factors may mediate the association, including instrumental delivery, macrosomia, low apgar scores etc.
  14. As maternal BMI increasede, the risk of CP increased. Among women with a BMI>40, the relative risk was doubled compared normal weight.
  15. When we stratified the cohort by gestational age, we found that BMI was significantly associated only among term born infants
  16. Therefore we did the mediation analyses in term births only. Sorry about this heavy table, but the take home message here is that birth asphyxia-related complications, a composite mediater including HIE, seizures, low apgar, mediated 45% of the association.
  17. IN summary, LÄS