Predicting risk of postpartum haemorrhage during the intrapartum period in a general obstetric population

Effect of the smartphone application on caesarean section in women with overweight and obesity: a randomized controlled trial in China

“…Nine additional variables were likely its associated factors, such as Hispanic ethnicity, nulliparity, hypertensive diseases of pregnancy, multiple gestation, chorioamnionitis, uterine rupture, predelivery oxytocin exposure, induction of labor, and instrumented vaginal delivery [ 29 ]. However, CS is also included in some risk prediction models of postpartum hemorrhage [ 30 , 31 ]. As some of the risk factors analyzed are interactive with each other, such as prolonged labor with CS, and GWG and obesity with GDM, we are not sure whether the reduction of the rate of postpartum hemorrhage may result from lower CS rate or less GWG.…”

From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)

“…Over time, nomogram is no longer limited to the study of oncology, but more applied to the study of diagnosis and prediction of non-tumor-related diseases. For example, nomograms were used to analyze the correlation between factors in genomics or proteomics and the development and progression of diseases ( 32 – 34 ); Nomograms were used to predict adverse outcomes in obstetrics or reproductive medicine ( 35 – 38 ); it can also be combined with radiomics to analyze the relationship between different image features or image segmentation factors and disease diagnosis ( 39 , 40 ), predict chronic disease incidence in orthopedics ( 41 – 43 ), or analyze and detect the incidence of chronic diseases combined with metabolomics ( 37 ). In addition, the display modes of nomogram are gradually diversified.…”

Obstetric Haemorrhage as a Contributing Factor of Maternal Death

“…Women with personal factors (multipara, history of uterine atony, and older age), as well as contributing factors (lack of access to a facility within a reasonable distance, poor road condition, transposition, and knowledge of obstetric complications), are more likely to be impacted by the negative outcome of obstetric hemorrhage, as was demonstrated in a study conducted in Ethiopia [2]. Four routinely recorded characteristics (parity, fetal macrosomia, mode of delivery, and history of Postpartum Hemorrhage (PPH)) were found to be predictive of PPH in a general obstetric Irish population of singleton pregnancies, according to a hospital-based study conducted in Irish [3]. In addition to risk factors, geographical barriers can make it diffi cult for some people to access health care facilities, which delays the delivery of much-needed medical care to mothers who have suff ered obstetric hemorrhages, which could fastly progress into a deterioration maternal condition.…”

“…Screening for risk factors was one of several initiatives taken to reduce the prevalence of obstetric hemorrhage. In one of the maternity hospitals in Ireland, Maher, et al used normograms to help with individualized risk assessment of PPH and informed clinical decision-making, allowing those at highest risk of PPH to be actively managed [3]. Guidelines for the anticipation and control of obstetric hemorrhage have rapidly improved and developed, starting from conservative treatment, such the use of intrauterine balloon tamponade, to progressive treatment, like hysterectomies.…”