Evaluating Iowa Severe Maternal Morbidity Trends and Maternal Risk Factors: 2009–2014

Placenta praevia is one of the most serious obstetric emergencies, which continues to be an important contributor to perinatal mortality and is responsible for leading maternal and infant morbidity. Very few data on etiology of placenta praevia are available till now. This study aims to explore the maternal risk factors related to occurrence of placenta praevia and its effects on maternal and fetal outcome. This cross-sectional observational study was carried out among 3279 obstetrics patients admitted in labour ward in the Department of Obstetrics and Gynecology, Sher-e-Bangla Medical College Hospital from January to December 2006. Out of 3279 obstetrics patients 93 placenta praevia cases were identified purposively as study subjects. The patients of placenta praevia were selected either diagnosed clinically by painless antepartum haemorrhage or asymptomatic placenta praevia diagnosed by ultrasonography irrespective of age, gestational age, parity, booking status. Pregnant woman admitted with painful antepartum haemorrhage were excluded from the study. With the ethical approval from the Institutional Ethical Committee (IEC), patients were selected after taking their written consent. A structured questionnaire and a chick list were designed with considering all the variables of interest. Out of 93 respondents, 73.88% were associated with risk factors in addition to advanced maternal age and high parity. Among them 24.73%, 33.33% and 7.52% had history of previous caesarean section (CS), MR and abortion and both CS & abortion previously. Patients aged above 30 years were 47% and 35.48% were in their 5th gravid and more; whereas, 31.18% patients were asymptomatic, 68.82% patients presented with varying degree of vaginal bleeding, among them 12.08% were in shock. Active management at presentation was done on 76.34% patients and 23.66% were managed expectantly. CS was done o 82.79% patients and only 17.2% were delivered vaginally. Case fatality rate was 1.07% and about 22% perinatal death was recorded, majority belonged to low birth weight (<1500 gm). About 10% patients required caesarean hysterectomy, 3.22% required bladder repair. Advanced maternal age, high parity, history of previous CS and abortion found to be common with the subsequent development of placenta praevia. Proper diagnosis, early referral and expectant management of patients will reduce prematurity, thereby improvised foetal outcome but to improve maternal outcome rate of primary CS have to be reduced and increase practice of contraception among women of reproductive age. Bangladesh Med J. 2019 May; 48 (2): 7-12

Download Full-text

Methodology for sampling women at high maternal risk in administrative data

10.21203/rs.2.11606/v2 ◽

2019 ◽

Author(s):

Jennifer Vanderlaan ◽

Anne Dunlop ◽

Roger Rochat ◽

Bryan Williams ◽

Susan E. Shapiro

Keyword(s):

Risk Factors ◽

Administrative Data ◽

Conventional Method ◽

Maternal Morbidity ◽

Sample Selection ◽

Population Level ◽

Risk Identification ◽

Net Benefit ◽

Maternal Risk ◽

Risk Scoring

Abstract Background In population level studies, the conventional practice of categorizing women into low and high maternal risk samples relies upon ascertaining the presence of various comorbid conditions in administrative data. Two problems with the conventional method include variability in the recommended comorbidities to consider and inability to distinguish between maternal and fetal risks. High maternal risk sample selection may be improved by using the Obstetric Comorbidity Index (OCI), a system of risk scoring based on weighting comorbidities associated with maternal end organ damage. The purpose of this study was to compare the net benefit of using OCI risk scoring vs the conventional risk identification method to identify a sample of women at high maternal risk in administrative data. Methods This was a net benefit analysis using linked delivery hospitalization discharge and vital records data for women experiencing singleton births in Georgia from 2008-2012. We compared the value identifying a sample of women at high maternal risk using the OCI score to the conventional method of dichotomous identification of any comorbidities. Value was measured by the ability to select a sample of women designated as high maternal risk who experienced severe maternal morbidity or mortality. Results The high maternal risk sample created with the OCI had a small but positive net benefit (+ 0.6), while the conventionally derived sample had a negative net benefit indicating the sample selection performed worse than identifying no woman as high maternal risk. Conclusions The OCI can be used to select women at high maternal risk in administrative data. The OCI provides a consistent method of identification for women at risk of maternal morbidity and mortality and avoids confounding all obstetric risk factors with specific maternal risk factors. Using the OCI may help reduce misclassification as high maternal risk and improve the consistency in identifying women at high maternal risk in administrative data.

Download Full-text