Screening for Ureaplasma urealyticum infections in the neonate and the association with prematurity

Kimpen, Jan L. L.; Bosmans, Eugène; Janssen, Jane; Lambrechts, Jos; Hoof, A. van; Gielen, Joris; Vandeput, H.; Waes, A. Van

doi:10.1016/0028-2243(86)90089-4

European Journal of Obstetrics & Gynecology and Reproductiv

1986

DOI: 10.1016/0028-2243(86)90089-4

|View full text |Cite

Screening for Ureaplasma urealyticum infections in the neonate and the association with prematurity

Jan L. L. Kimpen¹,

Eugène Bosmans²,

Jane Janssen³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

1991

2003

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because bacteria are thought to contribute to PTD, substances of bacterial origin thought to act as mediators of PTD have been sought. Organisms implicated in PTD include specific agents, such as Chlamydia trachomatis, Ureaplasma urealyticum, and Bacteroides and yeast species (13,30,32,33,54,55). A constellation of organisms representative of those associated with BV have also been cited as having the potential to produce inflammatory mediators, including phospholipases, leading to increased production of prostaglandins (9,11,16,18,22,28,56).…”

mentioning

confidence: 99%

Quantitative Microbiologic Models for Preterm Delivery

et al. 2003

View full text Add to dashboard Cite

Preterm delivery (PTD) is the leading cause of infant morbidity and mortality in the United States. An epidemiological association between PTD and various bacteria that are part of the vaginal microflora has been reported. No single bacterial species has been identified as being causally associated with PTD, suggesting a multifactorial etiology. Quantitative microbiologic cultures have been used previously to define normal vaginal microflora in a predictive model. These techniques have been applied to vaginal swab cultures from pregnant women in an effort to develop predictive microbiologic models for PTD. Logistic regression analysis with microbiologic information was performed for various risk groups, and the probability of a PTD was calculated for each subject. Four predictive models were generated by using the quantitative microbiologic data. The area under the curve (AUC) for the receiver operating curves ranged from 0.74 to 0.94, with confidence intervals (CI) ranging from 0.62 to 1. The model for the previous PTD risk group with the highest percentage of PTDs had an AUC of 0.91 (CI, 0.79 to 1). It may be possible to predict PTD by using microbiologic risk factors measured once the gestation period has reached the 20-week time point.The complex microflora of the human vagina is thought to play an important role in both health and disease. Although a great deal of quantitative and qualitative data describing the vaginal microflora are available, it is only recently that statistical models defining normal vaginal microflora have been developed (33). It has also been possible to predict, on the basis of these quantitative microbiologic models, when the vaginal microflora is abnormal (50, 51). Part of the modeling process is to identify microbial risk factors, such as an abnormal vaginal microflora (i.e., vaginal candidiasis or bacterial vaginosis [BV]), that are associated with a specific outcome. The application of these predictive statistical modeling techniques, using microbiologic data, to other outcomes such as preterm births is appealing because women at risk for adverse pregnancy outcomes might then be identified early during their pregnancies. Early identification of women at high risk for an adverse outcome would allow for interventional therapy to be directed only at such women.Preterm delivery (PTD) is the leading cause of infant morbidity and mortality in the United States (2, 12, 19). Preterm labor, premature rupture of membranes, and low birth weight have been associated with either specific maternal genital tract infections or an altered vaginal microflora during pregnancy (1,8,35,37,47,48). Because bacteria are thought to contribute to PTD, substances of bacterial origin thought to act as mediators of PTD have been sought. Organisms implicated in PTD include specific agents, such as Chlamydia trachomatis, Ureaplasma urealyticum, and Bacteroides and yeast species (13,30,32,33,54,55). A constellation of organisms representative of those associated with BV have also been cited as having the poten...

show abstract

mentioning

confidence: 99%

Quantitative Microbiologic Models for Preterm Delivery

et al. 2003

View full text Add to dashboard Cite

show abstract

C-reactive protein: A critical review

1991

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Screening for Ureaplasma urealyticum infections in the neonate and the association with prematurity

Cited by 2 publications

References 15 publications

Quantitative Microbiologic Models for Preterm Delivery

Quantitative Microbiologic Models for Preterm Delivery

C-reactive protein: A critical review

Contact Info

Product

Resources

About