02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

download 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

of 20

Transcript of 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    1/20

    Risk Factors of Pre-eclampsia slide 1

    A CASE CONTROL STUDY OF

    RISK FACTORS INFLUENCING

    PREECLAMPSIA AMONGST WOMENRECEIVING TREATMENT AT UNIVERSITI

    KEBANGSAAN MALAYSIA MEDICAL

    CENTRE (UKMMC)

    DR NORFAZILAH BINTI AHMAD

    P 36529

    Norfazilah, A.1 Azmi, M.T.1 Shamsuddin, K.1 Mahdy, A.Z.2

    1 Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia2Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    2/20

    Risk Factors of Pre-eclampsia slide 2

    INTRODUCTION

    Hypertension in pregnancy importantcause of maternal and perinatal morbidityand mortality

    Can be classified into:

    Gestational hypertension Preeclampsia and eclampsia

    Chronic hypertension Chronic hypertension with

    superimposed preeclampsia(Brown et al.2001)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    3/20

    Risk Factors of Pre-eclampsia slide 3

    INTRODUCTION

    Preeclampsia (PE):

    De novohypertension after 20 weeks ofgestation with properly documented proteinuria

    Chronic hypertension with superimposedpreeclampsia:

    Pregnant woman with chronic hypertensionthe appearance ofde novoproteinuria after 20weeks of gestation.( magnitude of blood pressure, proteinuria, thrombocytopenia abnormal liver enzymes)

    (Brown et al. 2001)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    4/20

    Risk Factors of Pre-eclampsia slide 4

    JUSTIFICATION

    Lack of published local studies regarding riskfactors for preeclampsia

    Useful information in identifying women at risk ofpre-eclampsia

    For screening and prophylaxis, as well as forrecruitment into relevant clinical studies.

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    5/20

    Risk Factors of Pre-eclampsia slide 5

    LITERATURE REVIEW

    Certain risk factors have stronger association thanothers..

    All play a role in identifying women at risk of

    preeclampsia

    Possessing a risk factor does not necessarily

    mean a woman will develop preeclampsia, neitherdoes the absence of any risk factor guarantee safety(Churchill & Beever 1999)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    6/20

    Risk Factors of Pre-eclampsia

    Obstetrics history

    Pre-pregnancy body

    mass index

    REPRODUCTIVE HISTORY

    Ethnic

    SOCIO-DEMOGRAPHIC FACTOR

    Chronic hypertension

    FAMILY HEALTH

    HISTORY

    CONCURRENT

    MATERNAL

    MEDICAL HISTORY

    Type 2 diabetes mellitus

    Gestational diabetes

    Type 2 diabetes mellitus

    Chronic hypertension

    Age

    MATERNAL AND

    PERINATAL

    MORTALITY/MORBIDITY

    PREECLAMPSIA

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    7/20Risk Factors of Pre-eclampsia slide 7

    OBJECTIVES

    1. To determine the socio-demographic characteristics

    of preeclamptic cases2. To determine the relationship between of the

    following risk factors and preeclampsia:

    i. Ethnicii. Ageiii. High pre-pregnancy body mass index

    iv. Obstetrics history (parity)v. Concurrent maternal medical illnessvi. Family health history of chronic hypertension and

    type 2 diabetes mellitus (either alone or combined)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    8/20Risk Factors of Pre-eclampsia slide 8

    METHODOLOGY

    BACKGROUNDUKMMC

    Case-Mix system

    Medical record department

    STUDY DESIGNA hospital based unmatched case control study

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    9/20Risk Factors of Pre-eclampsia slide 9

    METHODOLOGY

    SAMPLING METHOD

    Cases (2002-2007)

    Code: Hypertensivedisorder in pregnancyDefinition fulfilledReached the sample

    size required (355)

    Control

    Code: normotensivepregnant women

    Match by year to caseRandomly selected

    from the database

    Medical records: complete

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    10/20Risk Factors of Pre-eclampsia slide 10

    RESULT

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    11/20Risk Factors of Pre-eclampsia slide 11

    RESULT (DESCRIPTIVE)

    Ethnic: Malay (case 75.2%; control 68.7%)

    Age

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    12/20Risk Factors of Pre-eclampsia slide 12

    Table 1:ORs and 95% CI according to riskfactors for preeclampsia

    Risk factors Unadjusted *Adjusted

    OR (95% CI) OR (95% CI)

    Ethnic

    Non-Malay 1.0 (referent)

    Malay 0.79(0.99-1.92)

    Age (years)

    < 35 1.0 (referent) 1.0 (referent)

    35 2.70 (175-4.17) 2.10(1.19-3.70)

    Pre-pregnancy BMI Normal 1.0 (referent) 1.0 (referent)

    Underweight 0.56(0.35-0.88) 0.60(0.37-0.97)

    Overweight 7.87(4.41-14.07) 4.01(2.48-6.49)

    Obese 14.54(6.40-33.04) 6.40(2.92-14.00)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    13/20Risk Factors of Pre-eclampsia slide 13

    Table 1:ORs and 95% CI according to riskfactors for preeclampsia

    Risk factors Unadjusted *Adjusted

    OR (95% CI) OR (95% CI)

    Obstetrics history

    Others 1.0 (referent) 1.0 (referent) Primigravida 1.24(0.84-1.840) 2.25(1.43-3.56)

    Parity 2 2.24(1.48-3.39) 1.85(1.12-3.06)

    Nulliparity 2.47(1.39-4.39) 3.15(1.63-6.08)

    Concurrent medical history

    No 1.0 (referent) 1.0 (referent)

    Yes 7.22(3.21-16.24) 4.83(1.74-13.42)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    14/20Risk Factors of Pre-eclampsia slide 14

    * Backward Stepwise (Likelihood Ratio) Multiple Logistic Regression appliedModel adequacy was checked by using Hosmer and Lemeshow test (p = 0.352), overall correctly classifiedpercentage (69.5%) and area under the curve (0.77)No multicollinearity problem and interaction reportedNagelkerke R Square = 0.285

    Final model equation:Preeclampsia = -1.43 + 0.74(aged 35 years) + 1.39(overweight) + 1.86(obese) + 0.81(being primigravida)

    0.62(parity 2) + 1.15(nulliparity) + 1.58(having concurrent medical illness)+ 0.78(family history of chronic hypertension).

    Risk factors Unadjusted *Adjusted

    OR (95% CI) OR (95% CI)

    Family history of chronic hypertension

    No 1.0 (referent) 1.0 (referent) Yes 3.12(2.30-4.25) 2.18(1.55-3.09)

    Family history of Type 2 diabetes mellitus

    No 1.0 (referent)

    Yes 1.96(1.39-2.75)

    Family history of chronic hypertension andtype 2 diabetes mellitus

    No 1.0 (referent)

    Yes 3.18(2.34-4.33)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    15/20Risk Factors of Pre-eclampsia slide 15

    DISCUSSION

    ETHNIC:

    Hashimah et al. (2007) Loi et al. (2007)

    place HKL & UKMMC Singapore

    design case control cross-sectional

    n=75 cases

    HKL (72) UKMMC (3) 93 cases

    comparison Non-Malay to Malay Malay to Chinese

    aOR 2.4 (0.7 - 8.2) p = 0.001

    Malay to Indian

    p = 0.170Malay to Others

    p = 0.086

    Malay=majority late booker

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    16/20Risk Factors of Pre-eclampsia slide 16

    DISCUSSION

    AGE: Loi et al. (2007) Ustun et al. (2005)place Singapore Turkey

    design cross-sectional retrospective cohort

    35 years p = 0.01 p = 0.001

    Doherty et al. (2006) Bhattacharya et al. (2007)

    reference normal BMI normal BMI

    result overweight (aOR 1.45 [0.72-2.90]) overweight (aOR 1.6 [1.2-1.8])

    obese (aOR 3.74 [1.95-7.17]) obese (aOR 3.1 [2.8-3.5])

    morbidly obese (aOR 7.2 [4.7-11.2])

    PRE-PREGNANCY BMI: Increasing risk throughoutthe BMI distribution

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    17/20Risk Factors of Pre-eclampsia slide 17

    DISCUSSION

    OBSTETRICS HISTORY: nulliparityEskenazi et al.

    (1991)

    Anorlu et al.

    (2005) Conde-Agudelo et al. (2000)

    design case control case control cross-sectional

    n= 193 cases 128 casesreference multiparous > 1 1

    parity nulliparous nulliparous nulliparous

    aOR 5.4 (2.8-10.3)

    aOR 4.77

    (2.90-7.78) aRR 2.38 (2.28-2.49)

    CONCURRENT MATERNAL MEDICAL HISTORY:Eskenazi et al. (1991); Stone et al. (1994); Anorlu et al. (2005) &

    Gaugler-Senden et al. (2005)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    18/20Risk Factors of Pre-eclampsia slide 18

    DISCUSSIONFAMILY HEALTH HISTORY

    DISCUSSION

    Chronic hypertension Type 2 diabetes mellitus Combinedagreement X agreement X agreement X

    Ness et al.(2003) Eskenazi et al. Ness et al. Sanchez et al. Sanchez et al. Qiu et al. (2003)

    cohort (1991) (2003) (2003) (2003) aOR 1.9

    n=85/2211 (3.8%) aOR 1.7 (0.92-3.2) 1: aRR 1.3 aOR 3.4 (1.4-8.4) aOR 1.6 (1.3-2.9)

    1: aRR 1.5 (0.7-2.3) -more aware of (0.9-2.7)

    (0.1-2.5) Stone et al. (1994) parental history

    2: aRR 1.1 of diabetes

    2: aRR 2.2 case control (0.5-5.0) mellitus

    (1.1-4.5) n = 70 cases

    21% vs 19% Qiu et al. (2003)

    Qiu et al. (2003) aOR 1.8 (1.1-3.1)

    case control Sanchez et al.

    n = 190 (2003)

    aOR 2.0 (1.2-5.5) case control

    n = 169 cases

    aOR 1.2 (0.7-2.2)

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    19/20Risk Factors of Pre-eclampsia slide 19

    CONCLUSION

    o Difficult to conduct epidemiologicalstudies for preeclampsia in the absence of adatabase

    o UKMMC pioneered the case-mix systemin Malaysia

    o The accessibility of which facilitatedidentification of specific disease cases,including pre-eclampsia

  • 7/30/2019 02_Risk Factors Influencing Preeclampsia Amongst Women Receiving Treatment at UKMMC

    20/20

    THANK YOU