Predicting peripartum blood transfusion in women undergoing cesarean delivery: A risk prediction model
PLoS ONE, ISSN: 1932-6203, Vol: 13, Issue: 12, Page: e0208417
2018
- 30Citations
- 12Usage
- 82Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations30
- Citation Indexes30
- 30
- CrossRef5
- Usage12
- Abstract Views12
- Captures82
- Readers82
- 82
Article Description
Objective There has been an appreciable rise in postpartum hemorrhage requiring blood transfusions in the United States. Our objective is to better define patients at greatest risk for peripartum transfusion at the time of cesarean in order to identify cases for early intervention and monitoring. Methods Our study is a secondary analysis of a retrospective cohort study. Cases of intraoperative and immediate postpartum blood transfusion among women undergoing cesarean delivery were identified. Multivariable logistic regression models were used to identify antepartum and intrapartum risk factors that were independently associated with blood transfusion. A risk calculator was then developed to predict the need for transfusion. Results Of 56,967 women, 1488 (2.6%) required any blood transfusion. The strongest risk factors for peripartum blood transfusion included anemia (odds ratio [OR] 3.7, 95% CI 3.3–4.3), abruption on presentation (OR 3.3, CI 2.6–4.1), general anesthesia (OR 5.2, CI 4.4–6.1) and abnormal placentation (OR 92.0, CI 57.4–147.6). An antepartum (model 1) and combined antepartum plus intrapartum risk model (model 2) were developed (model 1 AUC = 0.77, model 2 AUC = 0.83) and internally validated. Conclusions Among women who required cesarean delivery, we were able to identify risk factors which predispose women to peripartum blood transfusion and developed a prediction model with good discrimination.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85059261732&origin=inward; http://dx.doi.org/10.1371/journal.pone.0208417; http://www.ncbi.nlm.nih.gov/pubmed/30551126; https://dx.plos.org/10.1371/journal.pone.0208417; https://hsrc.himmelfarb.gwu.edu/smhs_obgyn_facpubs/245; https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1245&context=smhs_obgyn_facpubs; https://dx.doi.org/10.1371/journal.pone.0208417; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208417
Public Library of Science (PLoS)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know