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Maternal near miss and mortality due to postpartum infection: a cross-sectional analysis from Rwanda

Overview of attention for article published in BMC Pregnancy and Childbirth, July 2016
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Title
Maternal near miss and mortality due to postpartum infection: a cross-sectional analysis from Rwanda
Published in
BMC Pregnancy and Childbirth, July 2016
DOI 10.1186/s12884-016-0951-7
Pubmed ID
Authors

Denis Rwabizi, Stephen Rulisa, Findlater Aidan, Maria Small

Abstract

The objective of this study is to evaluate 'near miss' and mortality in women with postpartum infections. We performed a retrospective review of all patients referred to the University Teaching Hospital of Kigali (CHUK) between January 2012 and December 2013. We identified 117 patients with postpartum infections. Demographic data, length of admission, location of referral, initial surgery and subsequent treatment modalities including antibiotic administration and secondary surgery were recorded. The primary outcome of interest was a composite of maternal mortality and "near miss" defined as more than one laparotomy with/without hysterectomy and prolonged hospitalization. Diagnoses at CHUK were: pelvic peritonitis (56 %), deep surgical site infection including fasciitis (17 %), and endometritis (15 %). The primary procedures performed prior to transfer were: cesarean section (81 %), septic abortion management (12 %), and vaginal delivery (7 %). Antibiotics were initiated prior to transfer in 66 % of women. Surgery was required in 73 % of patients. Hysterectomies were performed in 22 % of patients. Maternal death occurred in 5 % of the patient population. The primary outcome of severe maternal morbidity and mortality occurred in 90 patients (77 %). Peritonitis-primarily as a result of cesarean deliveries-is associated with significant morbidity and mortality in our population.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Student > Bachelor 16 12%
Researcher 11 8%
Student > Postgraduate 10 7%
Student > Doctoral Student 8 6%
Other 30 22%
Unknown 34 25%
Readers by discipline Count As %
Medicine and Dentistry 56 41%
Nursing and Health Professions 23 17%
Biochemistry, Genetics and Molecular Biology 2 1%
Agricultural and Biological Sciences 2 1%
Business, Management and Accounting 2 1%
Other 13 10%
Unknown 38 28%