Incidence and risk factors for recurrent spontaneous preterm birth: A retrospective cohort study in Japan

2015 ◽  
Vol 41 (11) ◽  
pp. 1708-1714 ◽  
Author(s):  
Michiko Yamashita ◽  
Shusaku Hayashi ◽  
Masayuki Endo ◽  
Kentaro Okuno ◽  
On Fukui ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Preterm Birth ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Spontaneous Preterm Birth

The Effect of Interpregnancy Interval on the Recurrence Rate of Spontaneous Preterm Birth: A Retrospective Cohort Study

2016 ◽  
Vol 34 (02) ◽  
pp. 174-182 ◽  
Author(s):  
Esme Kamphuis ◽  
Michel Hof ◽  
Sarah Robertson ◽  
Eva Pajkrt ◽  
Christianne de Groot ◽  
...  
Keyword(s):  
Cohort Study ◽  
Preterm Birth ◽  
Recurrence Rate ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Interpregnancy Interval ◽  
Spontaneous Preterm Birth

scholarly journals Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037266
Author(s):  
Rui Ma ◽  
Yali Luo ◽  
Jun Wang ◽  
Yanxia Zhou ◽  
Haiyang Sun ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Preterm Birth ◽  
Prenatal Care ◽  
Retrospective Cohort Study ◽  
Time Trends ◽  
Retrospective Cohort ◽  
Birth Rate ◽  
Live Births ◽  
Preterm Birth Rate

ObjectivesTo investigate time trends of preterm birth and estimate the contributions of risk factors to the changes in preterm birth rates over a decade (2009–2018) of transitional period in Shenzhen, China.DesignRetrospective cohort study between 2009 and 2018.SettingAll births in Baoan during January 2009 and December 2018 registered in the Shenzhen Birth Registry Database.Participants478 044 live births were included with sociodemographic and medical records for both women and infants.Outcome measuresThe incidence rate of preterm birth stratified by different maternal and infant characteristics. Multiple logistic regression was used to identify significant risk factors associated with preterm birth. The population attributable risk fraction of each factor was calculated to estimate its contribution to variations of preterm birth rate over the 10 years.ResultsA total of 27 829 preterm births from 478 044 (5.8%) live births were recorded and the preterm birth rate increased from 5.5% in 2009 to 6.2% in 2018. Medically induced preterm birth rate increased from 2.0% in 2009 to 3.4% in 2018 while spontaneous preterm labour rate decreased from 3.3% to 2.7% over the decade years. Risk factors including multiple pregnancy (0.28% increase) drove the rise of preterm birth rate, whereas changes in maternal educational attainment (0.22% reduction) and prenatal care utilisation (0.45% reduction) had contributed to the decline in preterm birth rate.ConclusionsAn uptrend of preterm birth rate was observed in an area under rapid sociodemographic transitions during 2009–2018 and the changes were associated with these sociodemographic transitions. Continued investments in girls’ education and prenatal care have the potential of reducing preterm birth rate.

An Analysis of Dental Implants Survival and Success

2018 ◽  
Vol 69 (9) ◽  
pp. 2465-2466
Author(s):  
Iustin Olariu ◽  
Roxana Radu ◽  
Teodora Olariu ◽  
Andrada Christine Serafim ◽  
Ramona Amina Popovici ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Medical History ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Demographic Data ◽  
Kaplan Meier ◽  
Number Of Patients ◽  
Health Related

Osseointegration of a dental implant may encounter a variety of problems caused by various factors, as prior health-related problems, patients� habits and the technique of the implant inserting. Retrospective cohort study of 70 patients who received implants between January 2011- April 2016 in one dental unit, with Kaplan-Meier method to calculate the probability of implants�s survival at 60 months. The analysis included demographic data, age, gender, medical history, behavior risk factors, type and location of the implant. For this cohort the implants�survival for the first 6 months was 92.86% compared to the number of patients and 97.56% compared to the number of total implants performed, with a cumulative failure rate of 2.43% after 60 months. Failures were focused exclusively on posterior mandible implants, on the percentage of 6.17%, odds ratio (OR) for these failures being 16.76 (P = 0.05) compared with other localisations of implants, exclusively in men with median age of 42 years.

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