Interim findings from Severe Obesity Study

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Presentation transcript:

Interim findings from Severe Obesity Study Dr Rachel Rowe Head of UKMidSS

Overview How does UKMidSS work? Severe Obesity Study Interim results Methods Control selection quiz! Interim results Response to UKMidSS Conclusions & implications What’s next?

How does UKMidSS work? An active reporting and research system All alongside midwifery units (AMUs) in UK UKMidSS reporters in each AMU Web-based monthly notification and data collection Number of ‘cases’ or ‘nothing to report’ ‘Denominator data’

UKMidSS data collection Case reported by email Data collection on the ‘case’ and one or more ‘controls’ Anonymised information only No names, addresses, postcodes, DOB, hospital or NHS numbers Reporter keeps record of Case ID linked to identifying information

UKMidSS Severe Obesity Study

Background Maternal obesity is a recognised risk factor Lower risks for severely obese multiparous women who are otherwise healthy? We don’t know how many severely obese women plan AMU birth No evidence on progress of labour, complications or outcomes for mother and baby

Methods National cohort study Objectives To investigate outcomes for severely obese women (with BMI>35kg/m2), and their babies, who start labour care in AMUs Compare with women of normal weight To describe practice across the UK How many AMUs admit severely obese women? What are the sociodemographic and clinical characteristics of these women?

Data collection Started 1st January 2016, continues for 12 months Collecting data about cases… Any woman with BMI>35kg/m2 at booking, who is admitted for labour care to the midwifery unit and controls… The two women, with BMI≤35kg/m2, admitted to the midwifery unit immediately before the case

Control selection quiz Why do we collect data about controls? We want to find out if outcomes for our cases, women with BMI>35kg/m2, are different from outcomes for other women Which other women? Who should we choose as a control? Other women admitted to the midwifery unit, whose BMI is NOT >35kg/m2 Remember our case definition: Any woman with BMI>35kg/m2 at booking, who is admitted for labour care to the midwifery unit

Control selection quiz Why can’t we choose the two women who gave birth before the case? Cases identified from women admitted to midwifery unit for labour care. Some may give birth in the unit, some may be transferred. If you choose women who gave birth in the unit before the case as controls, all controls will have given birth in the unit. Women who give birth in the unit are not necessarily representative of all women admitted for labour care. Why can’t we choose another two women admitted to the unit? What about the two women admitted either side of the case? We want to make sure that controls are representative of women admitted for labour care. Selection by time of admission of case is ‘random’ so likely to be representative. Problem with choosing controls after case is that the occurrence of a case might affect care for controls. Not likely for this study, but relevant for next study.

Control selection summary For the Severe Obesity Study Controls should be the two women admitted to the midwifery unit immediately before the case, whose BMI was ≤35kg/m2 If you have used some other control selection process based on admission to the midwifery unit it’s probably OK, but best to check If you have selected controls based on birth in the midwifery unit, please get in touch!

Results

Results overview January to August 2016 Response to UKMidSS Monthly reporting Cases reported with complete data Characteristics of women Outcomes Transfer Use of water during labour and birth Mode of birth All by parity

Response to UKMidSS All 122 AMUs across the UK contributing data Response to monthly reporting emails 100% of units have submitted at least one monthly report 90% response overall Some variation

86% of units have submitted reports for at least eight months

Cases reported Jan-Aug 2016 93 units (76%) reported at least one case Range 1-50 cases per unit In total, over 8 months, 766 cases Interim results 409 cases with complete data Reported by 59 units

Characteristics of women: parity 42 27% having first baby 27 20 11

Characteristics of women: BMI BMI range 35.1-56.7 kg/m2 93% BMI 35.1-40 Any differences by parity? 42 27 20 11

Characteristics of women Nulliparous n=110 % Multiparous n=297 BMI (kg/m2) 35.1-40.0 91.8 93.3 >40 8.2 6.8 Maternal age Under 20 1.0 20-24 27.3 15.8 25-29 39.1 38.1 30-34 20.0 32.0 35-39 5.5 10.8 40+ 0.0 2.4 BMI varies little by parity Expected differences in age Multiparous women older

Characteristics of women Higher proportion of multiparous women smoked during pregnancy Nulliparous n=110 % Multiparous n=297 Ethnic group White 88.2 83.2 Asian 0.9 5.7 Black 3.6 7.1 Other 6.4 3.0 Smoking status Non-smoker 87.2 78.2 Smoker 12.8 21.8

Characteristics of women Nulliparous n=110 % Multiparous n=297 Gestation 36-37 7.3 4.8 38 13.8 8.8 39 17.4 23.1 40 36.7 37.8 41-2 24.8 25.5 Risk factors* None 79.1 63.9 One or more 20.9 36.1 Higher proportion of multiparous women had additional risk factors * Pre-existing risk factors in addition to BMI

Outcomes Almost half of nulliparous women transferred % Multiparous n=297 Transfer during labour or soon after birth 48.2 11.5 Used immersion in water during labour 32.7 27.8 Gave birth in water 16.4 18.6 Mode of birth Spontaneous vaginal 71.8 97.3 Instrumental 0.7 Caesarean 11.8 1.7 Almost half of nulliparous women transferred Similar proportions used immersion in water and gave birth in water Almost all multiparous women had spontaneous vaginal birth

Conclusions and implications Admission of severely obese women to AMUs is widespread High proportions have good outcomes in terms of mode of birth Almost half of nulliparous women transfer Further analyses will investigate outcomes for women and their babies in more detail

What’s next? Data collection for Severe Obesity Study continuing until 31st December 2016 Last report request for Severe Obesity Study on 1st January 2017 Big effort to get all monthly reports in and data on cases and controls entered Checking missing data and queries Analysis, write-up & publication Next study starting…

Thank you! Any questions or comments? ukmidss@npeu.ox.ac.uk https://www.npeu.ox.ac.uk/ukmidss @NPEU_UKMidSS This is independent research arising from a National Institute for Health Research (NIHR) Post Doctoral Fellowship awarded to Rachel Rowe (PDF-2014-07-006). The views expressed are those of the author and not necessarily those of the NHS, the NIHR or the Department of Health.