Predicting postoperative day 1 hematocrit levels after hysterectomy

American Journal of Obstetrics and Gynecology
Sara H RahmanJonathan P Shepherd

Abstract

The Swenson model was developed as a linear regression model to estimate postoperative day 1 hematocrit levels after benign hysterectomy. Predictive variables included preoperative hematocrit level, patient weight, estimated blood loss, intraoperative crystalloid volume, preoperative platelet count, and hysterectomy route that predicted postoperative day 1 hematocrit level at ±5% for 100% of patients who used an internal validation set. We aimed to validate externally the Swenson model using our hysterectomy population and to further validate the model in a cohort that included robotic-assisted cases. In a retrospective cohort, data were collected from benign hysterectomies from April 2014 through May 2016. Predicted postoperative day 1 hematocrit level was calculated with the use of the Swenson equation and compared with measured hematocrit values. We compared our results to the Swenson model results using chi-square or Fisher's exact test. We then restricted our analysis to those with actual postoperative day 1 hematocrit level of ≤30%, to determine whether the model performed accurately in this subgroup that may need intervention. We generated a receiver-operating characteristic curve with Louden Index to determine the best ...Continue Reading

Citations

Oct 16, 2020·International Journal of Gynaecology and Obstetrics : the Official Organ of the International Federation of Gynaecology and Obstetrics·Aparna KailasamJonathan P Shepherd

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