scholarly journals Risk Factors for Early Preterm Birth at King Salman Armed Force Hospital in 2010

2017 ◽  
Vol 5 (7) ◽  
pp. 1016-1020 ◽  
Author(s):  
Badriah Ali Alansi ◽  
Hytham Bahaeldin Mukhtar ◽  
Maher Ahmad Alazizi ◽  
Amjad Ahmad Zuiran ◽  
Areej Mohammed AL-Atawi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Placental Abruption ◽  
Statistical Significance ◽  
Preterm Births ◽  
Prior History ◽  
P Value ◽  
Multiple Gestations ◽  
History Of ◽  
Early Preterm Birth

AIM: To investigate risk factors for early preterm birth.METHODS AND MATERIAL: A retrospective comparative study was conducted at Tabuk, Kingdom of Saudi Arabia during the period from January to December 2010. Five hundred and ninety-five patient's files and delivery registry logbooks were reviewed, the following information was collected; demographic data, current and past obstetric histories. Then the early and late preterm births were compared for various risk factors. The Statistical Package for Social Sciences (SPSS version 22) was used. The Chi-square and t-test were used to test the statistical significance and a P-value<0.05 considered significant.RESULTS: Prevalence of early preterm birth was found to be 2.5% in our study group. Women at risk for early preterm birth were: primigravidas (33.7% vs. 26.2% for control), P-value 0.039, OR 1.429 and 95% CI 0.982 - 2.079); multiple gestations (87.7% vs. 95.1% for control, P-value 0.002, OR 0.368 and 95% CI 0.196 - 0.688); and patients with a prior history of placental abruption (3.7% vs. 1.0% for control, P-value 0.027, OR3.928 and 95% CI 1.1360 - 13.586).CONCLUSIONS: Current study indicated that early preterm births differed from preterm as a whole; primigravida, multiple gestations and a history of placental abruption are independent risk factors for them.

scholarly journals Risk factors of early and late preterm birth

2021 ◽  
Vol 23 (2) ◽  
pp. 179-184
Author(s):  
Upanish Oli ◽  
Radhika Upreti ◽  
Neebha Ojha ◽  
Meeta Singh
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Previous History ◽  
Preterm Births ◽  
Cross Sectional Study ◽  
P Value ◽  
Cross Sectional ◽  
Positive History ◽  
History Of ◽  
Associated Risk Factors

Preterm birth (PTB) is one of the major causes of morbidity in newborn. The aim of this study was to estimate the prevalence and to compare the associated risk factors of early and late PTB. This was a hospital-based cross sectional study conducted in 2016/2017. Women, 271, having PTB at 28-33+6 weeks period of gestation was taken as early PTB and 34-36+6 were taken as late PTB. Data was collected using semi-structured questionnaire, patients’ record book, adopting face- to - face interview technique and clinical examination. The annual prevalence of PTB was 7.25% of which 11% were <28+0 weeks, early PTB was 32% and late PTB was 57%. Mother with school education were 2.0 times more likely to have early preterm births than those having higher education (P-value: 0.005, COR: 2.061,95% CI:1.234-3.441). Mothers with positive history of PTB in any of previous pregnancy was 10.7 times more likely to have early PTB in current pregnancy (P-value: <0.001, COR: 10.677, 95% CI: 2.792 – 40.746). Both variables were found to have independent risk on early PTB in logistic regression analysis (education: P-value: 0.027, aOR: 2.973, 95% CI: 1.132- 3.047; previous history of PTB: P-value: 0.002, aOR: 9.191, 95% CI: 2.308 - 36.596). Early and late PTB have differential risk factors. Mothers with positive history of PTB and having lower level of education were more likely to have early PTB.

scholarly journals Clinical Phenotypes Associated With Preterm Births at Jaramogi Oginga Odinga Teaching and Referral Hospital in Kisumu County, Kenya

2019 ◽  
Vol 3 (III) ◽  
pp. 175-186
Author(s):  
Edwin Omondi Juma ◽  
Margaret Keraka ◽  
Anthony Wanyoro
Keyword(s):  
Preterm Birth ◽  
Neonatal Mortality ◽  
Statistical Significance ◽  
Preterm Births ◽  
Bivariate Analysis ◽  
P Value ◽  
Multiple Gestation ◽  
Under Five ◽  
Clinical Phenotypes ◽  
Multiple Gestations

Preterm birth is a global health problem. It is the leading cause of child and neonatal mortality globally including Kenya. Preterm birth is the birth occurring before 37 completed weeks of gestation. In Kenya, preterm birth is the leading cause of neonatal mortality as it contributes to 35% of deaths among the neonates while Kisumu County is among the county’s leading with child under-five mortality rate at 133 deaths per 1000 live births. The main objective of this study was to identify the clinical phenotypes associated with preterm birth in JOOTRH in Kisumu County. It was a cross sectional study based on women who had a preterm birth alive or stillbirth at JOORTH in Kisumu County. Purposive sampling technique was used to select 178 respondents who met the inclusion criteria. Interviewer administered questionnaire was used to collect both qualitative and quantitative data. Data was analyzed by computer software SPSS version 23; descriptive statistics was used together with inferential statistics (Chi-square and Fisher’s Exact test) to help in the identification of the statistical significance of any association between the variables. A p value of < 0.05 was used. Bivariate analysis was utilized to measure the strength of associations. Data presented by use of frequency tables and narrative description. Ethical clearance was sought from Kenyatta University Ethics and Review Committee, permit sought from NACOSTI, consent and assent from the respondents. Results showed that maternal age (p=0.011) to be statistical significant with preterm births. Clinical phenotypes based on maternal, fetal and placental conditions; preeclampsia/eclampsia (p=0.016), extrauterine infections which includes malaria, UTI and HIV (p=0.030), severe maternal conditions that includes DM, anaemia, cardiac disease, hypertension prior to pregnancy and TB (p=0.001), multiple gestations (p=0.013), fetal anomaly (0.048), IUGR (p=0.049), antepartum stillbirth (p=0.046) and APH/early bleeding that include placenta previa and placenta abruption (p=0.025) were all significantly associated with preterm births. On bivariate analysis between clinical phenotypes and preterm births, all except multiple gestation (p=0.416) and APH (p=0.660) remained statistically significant. All clinical phenotypes (maternal, fetal and placental conditions) were significantly associated with preterm births. All clinical phenotypes except multiple gestations and APH/early bleeding remained statistically significant after bivariate analysis. The study recommends the use of Barro’s classifications system of clinical phenotypes to phenotype all preterm births in JOOTRH. Early identification of maternal, fetal and placental conditions identified in this study to be associated with preterm births by adopting Barros’ phenotyping of preterm births as a strategy to help prevent the occurrence of PTBs and eventually reduce neonatal deaths and under-five mortality.

scholarly journals Preterm Delivery; Who Is at Risk?

2021 ◽  
Vol 10 (11) ◽  
pp. 2279
Author(s):  
Dvora Kluwgant ◽  
Tamar Wainstock ◽  
Eyal Sheiner ◽  
Gali Pariente
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Prenatal Care ◽  
Recurrent Pregnancy Loss ◽  
Placental Abruption ◽  
Placenta Previa ◽  
Population Based ◽  
Perinatal Morbidity ◽  
Multiple Gestations ◽  
Extremely Preterm

Preterm birth (PTB) is the leading cause of perinatal morbidity and mortality. Adverse effects of preterm birth have a direct correlation with the degree of prematurity, in which infants who are born extremely preterm (24–28 weeks gestation) have the worst outcomes. We sought to determine prominent risk factors for extreme PTB and whether these factors varied between various sub-populations with known risk factors such as previous PTB and multiple gestations. A population-based retrospective cohort study was conducted. Risk factors were examined in cases of extreme PTB in the general population, as well as various sub-groups: singleton and multiple gestations, women with a previous PTB, and women with indicated or induced PTB. A total of 334,415 deliveries were included, of which 1155 (0.35%) were in the extreme PTB group. Placenta previa (OR = 5.8, 95%CI 4.14–8.34, p < 0.001), multiple gestations (OR = 7.7, 95% CI 6.58–9.04, p < 0.001), and placental abruption (OR = 20.6, 95%CI 17.00–24.96, p < 0.001) were the strongest risk factors for extreme PTB. In sub-populations (multiple gestations, women with previous PTB and indicated PTBs), risk factors included placental abruption and previa, lack of prenatal care, and recurrent pregnancy loss. Singleton extreme PTB risk factors included nulliparity, lack of prenatal care, and placental abruption. Placental abruption was the strongest risk factor for extreme preterm birth in all groups, and risk factors did not differ significantly between sub-populations.

scholarly journals Do Successive Preterm Births Increase the Risk of Postpartum Depressive Symptoms?

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Timothy O. Ihongbe ◽  
Saba W. Masho
Keyword(s):  
Depressive Symptoms ◽  
Preterm Birth ◽  
Preterm Births ◽  
Prior History ◽  
Pregnancy Risk ◽  
High Risk Women ◽  
Postpartum Depressive Symptoms ◽  
Increased Risk ◽  
Multiparous Women ◽  
History Of

Background. Postpartum depression and preterm birth (PTB) are major problems affecting women’s health. PTB has been associated with increased risk of postpartum depressive symptoms (PDS). However, it is unclear if PTB in women with a prior history of PTB is associated with an incremental risk of PDS. This study aims to determine if PTB in women with a prior history of PTB is associated with an incremental risk of PDS. Methods. Data come from the 2009–2011 national Pregnancy Risk Assessment Monitoring System. Study sample included 55,681 multiparous women with singleton live births in the index delivery. Multiple logistic regression was used to examine the association between PTB and PDS. Results. The risk of PDS was 55% higher in women with PTB in both deliveries (aRR = 1.55; 95% CI = 1.28–1.88) and 74% higher in women with PTB in the index delivery only (aRR = 1.74; 95% CI = 1.49–2.05), compared to women with term deliveries. Conclusions. Preterm birth is a risk factor for PDS. PTB in women with a prior history of PTB is not associated with an incremental risk of PDS. Routine screening for PDS should be conducted for all women and closer monitoring should be done for high risk women with PTB.

Assessment of risk factors associated with pre-term labour in Tertiary care Hospitals, Lahore

2021 ◽  
Vol 15 (1) ◽  
pp. 13-17
Author(s):  
Tanzeela Zafar ◽  
Iram Manzoor ◽  
Fariha Farooq
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Cesarean Section ◽  
Preterm Births ◽  
Intrauterine Death ◽  
Singleton Pregnancy ◽  
Factors Associated ◽  
History Of ◽  
Tract Infections ◽  
Inter Pregnancy Interval

Background: Pakistan has one of the highest rates of preterm births, nearly 16 for every 100 babies born. Around 4% of these premature babies, are at highest likelihood of death. The objective of this study was to assess association of multiple risk factors with preterm birth in Pakistani women. Patients and methods:  An analytical cross-sectional study was carried out in Obstetrics and Gynecology Department of Akhtar Saeed Trust Hospital and Farooq Hospital, West Wood Branch, Lahore from October 2018 to December 2019. Total 116 pregnant females who gave birth to preterm babies with gestational age between 20-37 weeks were included. Data about patients’ socio-demographic profile, previous obstetric history and current gestational profile was collected using closed ended structured questionnaire. Variables were presented in the form of frequency tables. Chi-square and Fisher exact test were applied to establish association of various risk factors and preterm presentation of patients’ in hospital. A p-value ≤ 0.05 was taken as significant. Results: Out of 116 participants, 49 (42.2%) were aged between 20-25 years, 47 (40.5%) were illiterate. Of the total sample 60 (51.7 %) participants were obese (BMI >30). Eighty-two (70.7%) patients were multigravida and 65 (56.1%) gave the history of previous cesarean section. Significant association was found between preterm birth and multi-parity (p=0.001), previous history of abortion (p=0.000), intrauterine death (p=0.001), infertility (p=0.04), cesarean-section (p=0.000), and inter-pregnancy interval of less than 24 months (p=0.007). Other significant factors associated with preterm labour were urinary tract infections (p=0.001), documented fever more than 101oF (p=0.000), anemia (p=0.000), singleton pregnancy (p=0.000) and cephalic fetal presentation (p=0.002), during current pregnancy. Conclusion: Multi-gravidity, history of abortion, intrauterine death, previous infertility, cesarean-section, inter-pregnancy interval of less than 24 months, UTI, genital tract infection, anemia, singleton pregnancy and cephalic fetal presentation during current pregnancy were observed to be significantly associated with preterm births.

scholarly journals Risk Factors and Outcome of Preterm Labour in Tertiary Health Centre

2020 ◽  
Vol 32 (2) ◽  
pp. 90-93
Author(s):  
Mst Afroza Khanum ◽  
Salma Lavereen ◽  
Moniruzzaman ◽  
Romana
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Preterm Birth ◽  
Preterm Delivery ◽  
Preterm Labour ◽  
Health Centre ◽  
Preterm Births ◽  
Neonatal Morbidity ◽  
Vaginal Infection ◽  
History Of

Background: Currently preterm labour is one of the most challenging problems confronting the obstetricians and perinatologists. This unfortunate episode accounts for 50-75% of the perinatal mortality. Methods: A cross sectional study was conducted on 210 pregnant women with preterm labour admitted in Monno Medical College Hospital, Manikganj from June 2014 to December 2015, to study the causes and outcome of preterm birth in Tertiary health centre of Manikganj. Results: Occurence of preterm birth was 13.82%; 47.14% occured between 34-37 weeks of gestation; 33.80% occured 31-33 weeks of gestation and occurred in 28-30 weeks 19.04%. About 22% patients presenting with preterm labour had a past history of abortions and 14.3% had a history of preterm delivery. Premature rupture of membranes was found to be the most common risk factor related with preterm labour in the present pregnancy. Genitourinary tract infection was the next important risk factor of preterm labour; 24.8% (86) patients had either vaginal infection (19.5%) or urinary infection (21.4%) or both. Another important risk factor identified in this study was antepartum haemorrage which was cause in 11.4 % cases. Preterm babies commonly suffered from various complications like jaundice (32.1%), respiratory distress syndrome (22.6%), asphyxia (13.5%), sepsis, hypoglycemia and coagulopathy. Conclusion: Most of the preterm births occured between 34-37 weeks of gestation. Most common risk factors of preterm births are history of abortion and preterm delivery in previous pregnancy; PROM UTI vaginal infection, PIH and APH in correct pregnancy. Newborn jaundice, RDS and birth asphyxia are the common neonatal morbidity in preterm labour. Identifying risk factors to prevent the onset of preterm labour and advanced neonatal care unit can help decrease neonatal morbidity and mortality. Bangladesh J Obstet Gynaecol, 2017; Vol. 32(2) : 90-93

scholarly journals A retrospective analytical study of the epidemiology and causes of preterm birth

2017 ◽  
Vol 6 (12) ◽  
pp. 5453 ◽  
Author(s):  
Shehla Jamal ◽  
Ruchi Srivastava
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Preterm Birth ◽  
Antenatal Care ◽  
Analytical Study ◽  
Preterm Births ◽  
Hypertensive Disorders Of Pregnancy ◽  
Live Births ◽  
Hypertensive Disorders ◽  
History Of

Background: Preterm birth is the leading cause of perinatal morbidity and mortality. The incidence of preterm birth in India is 7-9%, and the rates are constantly rising. The main cited reasons for this trend are increasing indicated preterm births and rising rates of artificially conceived pregnancies. Major causes for indicated preterm births are hypertensive disorders of pregnancy, foetal growth restriction, antepartum haemorrhage and PPROM. Risk factors for spontaneous preterm birth include obstetrical complications like multifetal gestation, malpresentations and infections, poor antenatal care, having history of previous preterm delivery, and history of bleeding in the index pregnancy.Methods: This is a retrospective analytical study, done in the department of Obstetrics and Gynecology over a period of two years (January 2015-December 2016). All singleton preterm live births were included in the study. The records of all the included patients were studied from the medical records department of the hospital, after obtaining permission for the same. The results were analysed and obtained by percentage method.Results: A total of 2564 pregnancies were analysed in present study. The number of preterm deliveries was 436 in two years. Out of 2564, the number of live births was 2365, making an incidence of 18.4%. Maximum preterm deliveries were observed in the teenage group (27%) and elderly gravidas (23.9%), both the groups falling into high risk categories for preterm birth. Multiparity was an independent risk factor observed in our study and was found to be associated with 47.5% cases. Level of antenatal care received was also directly related to the number of preterm deliveries. As high as 58.4% of the females landed into preterm birth, who never sought antenatal care, the commonest risk factor for preterm birth was PPROM (26.6%) followed by hypertensive disorders of pregnancy (18.6%). We observed a labor induction rate of 23.4% and Caesarean delivery was performed in 146 (33.5%) cases, thus indicating a high induction and caesarean rates in such pregnancies.Conclusions: Preterm birth continues to challenge obstetricians despite much efforts being executed at all levels. Many of the risk factors are identifiable and can be addressed with a specialised antenatal care program. Screening of genitourinary infections and initiation of treatment can cut down the rates. Early referral and NICU equipped institutional delivery should be promoted to prevent neonatal morbidity and mortality.

scholarly journals Risk factors associated with preterm birth in the Dominican Republic: a case-control study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e045399
Author(s):  
Agustín Díaz-Rodríguez ◽  
Leandro Feliz-Matos ◽  
Carlos Bienvenido Ruiz Matuk
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Dominican Republic ◽  
Case Control Study ◽  
Preterm Births ◽  
Case Control ◽  
Premature Births ◽  
Factors Associated ◽  
History Of ◽  
Control Study

ObjectivesThis study aimed to identify the risk factors associated with preterm birth, and to determine the prevalence of preterm births in the Dominican Republic.DesignCase-control study.SettingsSeven National Reference Hospitals from different regions of the Dominican Republic.ParticipantsA probabilistic sampling of both cases and controls was performed with a ratio of 2.92:1, and a power analysis was performed with α=0.05, P1=0.5, P2=0.6, and β=0.08, to yield a distribution of 394 cases and 1150 controls. Estimation of gestational age was based on neonatologist reports.Primary outcome measuresA protocol was created to obtain maternal and obstetric information.ResultsThe main risk factors were a family history of premature births (p<0.001, OR: 14.95, 95% CI 8.50 to 26.29), previous preterm birth (p=0.005, OR: 20.00; 95% CI 12.13 to 32.96), advanced maternal age (over 35 years; p<0.001, OR: 2.21; 95% CI 1.57 to 3.09), smoking (p<0.001, OR: 6.65, 95% CI 3.13 to 13.46), drug consumption (p=0.004, OR: 2.43, 95% CI 1.37 to 4.30), premature rupture of membranes (p<0.001, OR: 2.5) and reduced attendance at prenatal consultations (95% CI 6 to 7, Z=−10.294, p<0.001).ConclusionMaternal age greater than 35 years, previous preterm birth, family history of preterm births and prelabour rupture of membranes were independent risk factors for preterm birth. Adolescence, pregnancy weight gain and prenatal consultations, on the other hand, were protective factors for preterm birth. Although the prevalence of premature births in this study was 25%, this could have been biased.

Patterns of Preterm Birth among Women of Native Hawaiian and Pacific Islander Descent

2018 ◽  
Vol 36 (12) ◽  
pp. 1256-1263 ◽  
Author(s):  
Molly R. Altman ◽  
Rebecca J. Baer ◽  
Laura L. Jelliffe-Pawlowski
Keyword(s):  
Preterm Birth ◽  
Illicit Drugs ◽  
Pacific Islander ◽  
Preterm Births ◽  
Population Based ◽  
Late Preterm Birth ◽  
History Of ◽  
Early Preterm Birth ◽  
Pacific Islander Women ◽  
Prenatal Visits

Objective To describe the characteristics and risk factors for preterm birth in Hawaiian and Pacific Islander women. Study Design Retrospective cohort study of 10,470 women of Hawaiian or Pacific Islander descent drawn from a population-based birth cohort dataset in California. Variables were examined across preterm birth subtype (spontaneous, provider initiated) and by gestational age grouping (early preterm birth and late preterm birth) and all preterm births. Results Hawaiian/Pacific Islander women were at higher risk for preterm birth when they had fewer than three prenatal visits; were underweight, reported tobacco, alcohol, or illicit drugs use in pregnancy; had a diagnosis of anemia, gestational diabetes, preexisting diabetes, or hypertension with or without pre-eclampsia; or had a history of previous preterm birth. Obesity was found to be protective for preterm birth. Conclusion Women of Hawaiian and Pacific Islander descent demonstrate a similar yet unique constellation of risk and protective factors for preterm birth as compared with other groups at high risk for preterm birth. Interventions aimed to prevent preterm birth need to support the specific needs of this population.

scholarly journals Study of risk factors for preterm deliveries in a tertiary hospital

2020 ◽  
Vol 9 (7) ◽  
pp. 3032
Author(s):  
Sapna D. Berry ◽  
Rajeev Sood ◽  
Kalpna Negi ◽  
Naveen Kumar
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Early Identification ◽  
Preterm Labour ◽  
Economic Status ◽  
Significant Risk ◽  
Preterm Births ◽  
Tertiary Hospital ◽  
Unintended Pregnancies ◽  
History Of

Background: Preterm labour and preterm deliveries are very challenging obstetric complications. Early identification of risk factors may help identify women at risk for preterm deliveries.Methods: A one-year observational study was conducted in the department of obstetrics and gynecology, IGMC Shimla, Himachal Pradesh from 1st August 2017 to 31st July 2018. All mothers who delivered between 24 to 37 weeks were subjected to a detailed history with respect to age, parity, previous pregnancy outcomes and to identify the presence of any risk factors. A thorough obstetric and systemic examination was done. Parametric and non-parametric test of significance were used to find the association between different quantitative and qualitative variable.Results: Incidence of preterm deliveries was 11.4%. Maximum cases were of age group 25-30 years. 71.7% belonged to lower socio-economic status. 54% cases were seen in multigravida. History of previous abortion was seen in 18.4% and 9.7% had history of preterm deliveries. 12% cases had history of 1st trimester bleeding.  Spontaneous onset of preterm labour was seen in 55.1%. The significant risk factors associated were PIH and genitourinary infections.Conclusions: The risk factors of preterm birth to a large extent can be identified in antenatal period. Adolescent health education including good nutrition, good hygiene, counselling for contraception to reduce unintended pregnancies and birth spacing can lower the preterm birth rate. Better prenatal care, early identification of risk factors and complicated cases, regular follow up and proper management can help us in reducing preterm births.

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