Correlation of perineal outcome at first and second vaginal deliveries

R Mahony1, C O'Herlihy, M E Foley

  • 1Department of Obstetrics and Gynaecology, University College Dublin, National Maternity Hospital, Holles St, Dublin.

Irish Medical Journal
|February 12, 2009
PubMed

Perineal outcome in 1000 consecutive term non instrumental second vaginal deliveries was correlated with first delivery method and perineal outcome. Our aim was to determine the relationship between perineal outcome at first and second vaginal deliveries. Overall 75% of first non instrumental vaginal deliveries required sutures. Sutures were required at second delivery in 12% (24 of 199) of cases not sutured at first delivery compared with 60.4% (485 of 801) of those sutured. The rate of second perineal repair correlated with method of first delivery and perineal outcome, instrumental delivery--66.2% (145 of 219), first episiotomy-68.4% (238 of 348) and first sutured tear--43.6% (102 of 234). The incidence of third /fourth degree tear at first delivery was 1.3% (13/1000) (one recurred at second forceps delivery), compared with 0.6% at second delivery. First delivery outcome should be considered when conducting a second delivery as sixty per cent of women require perineal repair following repair at first delivery.

Related Concept Videos

Correlation and Regression00:53

Correlation and Regression

In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a negative...
Drug Product Performance: In Vitro–In Vivo Correlation01:20

Drug Product Performance: In Vitro–In Vivo Correlation

In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while adhering...
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if: