Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015

Objective This study was designed to identify the prevalence and risk factors for preterm birth in HUSM in year 2014 to 2015 This study looked into the risk factors of preterm birth according to maternal socio – demographic, previous pregnancy and reproductive characteristics, and current maternal...

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Main Author: Alias, Nurrul Satiah
Format: Thesis
Language:English
Published: 2017
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Online Access:http://eprints.usm.my/45439/1/Dr.%20Nurrul%20Satiah%20Aliias-24%20pages.pdf
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spelling my-usm-ep.454392020-10-22T03:03:13Z Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015 2017 Alias, Nurrul Satiah RG Gynecology and obstetrics Objective This study was designed to identify the prevalence and risk factors for preterm birth in HUSM in year 2014 to 2015 This study looked into the risk factors of preterm birth according to maternal socio – demographic, previous pregnancy and reproductive characteristics, and current maternal and prenatal pregnancy status. Methodology This retrospective case control study was conducted in HUSM for period from 2014 to 2015. The study included 418 preterm birth and 418 term birth who delivered in HUSM. All their medical record were reviewed and related information were entered in a standard data collection form. Chi –square is use to compare distribution of variables between groups. Univariable analysis used to evaluate association between independent variables and preterm birth. Multivariable analysis will be use and all the variable displaying significant relationship with preterm birth in the univariable analysis will be employed to calculate odd ratio (OR) of potential risk factor associate with preterm birth.Results There were 418 preterm birth and 418 term birth cases involved in this study. The prevalence of preterm birth was 6.8%. The majority of patient was Malay which is 98.1% and the rest was Chinese (1.9%). Spontaneous preterm birth (SPTB) give raised to 52.2% of the delivery, preterm pre-labour rupture of membrane (PPROM) was 31.6% and medically indicated preterm birth (MIPTB) birth was 16.3%. Base on gestational age, mild preterm (32 weeks till < 37 weeks) occur the most 90.2%, followed by late preterm (28 weeks – 32 weeks) 8.1% and extremely preterm (less than 28 weeks) 1.7%. Multipara patient was lower the chance to have preterm labor by 39% compared to patient with nulliparous. Patients that had previous preterm birth increased the risk of preterm by 10.83 compared to those who had no history of preterm birth before (CI: 0.62-25.40, p-value <0.001). Meanwhile, patient with hypertension and DM had 2.75 odds and 2.00 odds of preterm birth compared to those who had no Hypertension and DM as comorbid (CI:1.56-4.86, p-value <0.001) (CI:1.27-3.18, p-value=0.003). Working patient increased the odds of getting preterm birth by 3.40 when comparing to not working patient (CI:2.40-4.82, p-value <0.001). Lastly, patient with baby boy had 70% odds of exposing to preterm birth compared to patient with baby girl (CI:1.24-2.29, p-value=0.001). Conclusion Early detection and treatment of disease or disorder among pregnant patient especially hypertension, diabetes, and started preventive measure for those with previous history of preterm birth can improve the outcome for preterm birth and will reduce the preterm prevalence rate. 2017 Thesis http://eprints.usm.my/45439/ http://eprints.usm.my/45439/1/Dr.%20Nurrul%20Satiah%20Aliias-24%20pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Perubatan
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic RG Gynecology and obstetrics
spellingShingle RG Gynecology and obstetrics
Alias, Nurrul Satiah
Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015
description Objective This study was designed to identify the prevalence and risk factors for preterm birth in HUSM in year 2014 to 2015 This study looked into the risk factors of preterm birth according to maternal socio – demographic, previous pregnancy and reproductive characteristics, and current maternal and prenatal pregnancy status. Methodology This retrospective case control study was conducted in HUSM for period from 2014 to 2015. The study included 418 preterm birth and 418 term birth who delivered in HUSM. All their medical record were reviewed and related information were entered in a standard data collection form. Chi –square is use to compare distribution of variables between groups. Univariable analysis used to evaluate association between independent variables and preterm birth. Multivariable analysis will be use and all the variable displaying significant relationship with preterm birth in the univariable analysis will be employed to calculate odd ratio (OR) of potential risk factor associate with preterm birth.Results There were 418 preterm birth and 418 term birth cases involved in this study. The prevalence of preterm birth was 6.8%. The majority of patient was Malay which is 98.1% and the rest was Chinese (1.9%). Spontaneous preterm birth (SPTB) give raised to 52.2% of the delivery, preterm pre-labour rupture of membrane (PPROM) was 31.6% and medically indicated preterm birth (MIPTB) birth was 16.3%. Base on gestational age, mild preterm (32 weeks till < 37 weeks) occur the most 90.2%, followed by late preterm (28 weeks – 32 weeks) 8.1% and extremely preterm (less than 28 weeks) 1.7%. Multipara patient was lower the chance to have preterm labor by 39% compared to patient with nulliparous. Patients that had previous preterm birth increased the risk of preterm by 10.83 compared to those who had no history of preterm birth before (CI: 0.62-25.40, p-value <0.001). Meanwhile, patient with hypertension and DM had 2.75 odds and 2.00 odds of preterm birth compared to those who had no Hypertension and DM as comorbid (CI:1.56-4.86, p-value <0.001) (CI:1.27-3.18, p-value=0.003). Working patient increased the odds of getting preterm birth by 3.40 when comparing to not working patient (CI:2.40-4.82, p-value <0.001). Lastly, patient with baby boy had 70% odds of exposing to preterm birth compared to patient with baby girl (CI:1.24-2.29, p-value=0.001). Conclusion Early detection and treatment of disease or disorder among pregnant patient especially hypertension, diabetes, and started preventive measure for those with previous history of preterm birth can improve the outcome for preterm birth and will reduce the preterm prevalence rate.
format Thesis
qualification_level Master's degree
author Alias, Nurrul Satiah
author_facet Alias, Nurrul Satiah
author_sort Alias, Nurrul Satiah
title Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015
title_short Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015
title_full Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015
title_fullStr Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015
title_full_unstemmed Prevalence and risk factors of preterm birth in HUSM case-control study from January 2014-December 2015
title_sort prevalence and risk factors of preterm birth in husm case-control study from january 2014-december 2015
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Perubatan
publishDate 2017
url http://eprints.usm.my/45439/1/Dr.%20Nurrul%20Satiah%20Aliias-24%20pages.pdf
_version_ 1747821510601474048