Epidemiology of postpartum hemorrhages in the Umbrian population in the years 2006-2017.

• Published in: Recenti progressi in medicina Vol. 110; no. 9; p. 412
• Main Authors: Abraha, Iosief, Montedori, Alessandro, Giovannini, Gianni, Cozzolino, Francesco, Orso, Massimiliano, De Giorgi, Marcello, Franchini, David, Di Renzo, Gian Carlo, Angelozzi, Patrizio, Micheli, Marta, Germani, Antonella, Carloni, Danilo, Scaccetti, Augusto, Palmieri, Gianluca, Casali, Marta, Nenz, Chiara Maria Grazia, Gargano, Elisabetta, Pazzaglia, Michela, Agea, Elisabetta, Moscetti, Claudia, Berchicci, Laura, Tesoro, Simonetta, Albi, Nicola, Epicoco, Giorgio, Marchesi, Mauro
• Format: Journal Article
• Language: Italian
• Published: Italy 01-09-2019
• Subjects: Adult; Blood Transfusion - statistics & numerical data; Cesarean Section - statistics & numerical data; Delivery, Obstetric - statistics & numerical data; Female; Humans; Incidence; Italy - epidemiology; Postpartum Hemorrhage - epidemiology; Pregnancy; Risk Factors; Young Adult; Italy
• ISSN: 2038-1840
• DOI: 10.1701/3215.31934

Postpartum haemorrhage (PPH) is one of the main causes of mortality and severe maternal morbidity and its incidence is increasing also in Western countries. Aim of this study is to estimate the incidence and the trend of PPH in the Umbrian population using the validated Umbrian health database and to identify possible determinants for the development of PPH.
The source of the data was the regional Healthcare Database of the Umbria Region. The population of interest was represented by women who gave birth in Umbria between 2006 and 2017. The PPH was identified from the hospital data using the ICD-9-CM 666.x codes. Demographic data, principal and secondary diagnoses and data on maternal morbidity and blood component transfusion were collected. The incidence of PPH was calculated taking into account cases of PPH over the total number of births. The determinants of PPH, the associated morbidity and the variation in the severity of the PPH over time have been identified by logistic regression models.
In Umbria, between 2006 and 2017, 93,403 births were registered (69% by vaginal delivery and 31% by caesarean section) and the rate of caesarean sections decreased by about 4%. The incidence of PPH increased three-fold during this period with an increase (p<0.001) of women with PPH who received transfusions. Regarding the caesarean sections, the PPH trend increased by 53% (p=0.3), while in the vaginal deliveries the PPHs increased by 233% (p<0.001). Logistic regression analysis showed that possible risk factors for the occurrence of PPH are maternal morbidity (OR 22.8, 95% CI 18.5-30.0), twin birth (OR 2.0, 95% CI 1.3-3.2) and antepartum haemorrhage (OR 5.7, 95% CI 3.1-10.4).
The incidence of PPH has increased in recent years, while the morbidity associated with PPH has remained substantially unchanged. The study identified several risk factors responsible for PPH that can be used in the monitoring of pregnant women and for planning prevention strategies such as Patient Blood Management.