Predicting postoperative day 1 hematocrit levels after uncomplicated hysterectomy
Abstract Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non-emergent hysterectomies performed for benign indications among women age...
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Published in | International journal of gynecology and obstetrics Vol. 130; no. 1; pp. 19 - 22 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Elsevier Ireland Ltd
01.07.2015
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Abstract | Abstract Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non-emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses. Results The model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight ( B = 0.03222, P < 0.001), higher preoperative hematocrit ( B = 0.6587, P < 0.001), and non-vaginal hysterectomy ( B = 0.2815, P = 0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count ( B = − 0.00457, P < 0.001), greater estimated blood loss ( B = − 0.00652, P < 0.001), and larger intraoperative crystalloid volume ( B = − 0.3303, P < 0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set. Conclusion Use of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost-effective manner. |
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AbstractList | OBJECTIVETo develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy.METHODSIn a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non-emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses.RESULTSThe model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight (B=0.03222, P<0.001), higher preoperative hematocrit (B=0.6587, P<0.001), and non-vaginal hysterectomy (B=0.2815, P=0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count (B=-0.00457, P<0.001), greater estimated blood loss (B=-0.00652, P<0.001), and larger intraoperative crystalloid volume (B=-0.3303, P<0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set.CONCLUSIONUse of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost-effective manner. Abstract Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non‐emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses. Results The model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight ( B = 0.03222, P < 0.001), higher preoperative hematocrit ( B = 0.6587, P < 0.001), and non‐vaginal hysterectomy ( B = 0.2815, P = 0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count ( B = − 0.00457, P < 0.001), greater estimated blood loss ( B = − 0.00652, P < 0.001), and larger intraoperative crystalloid volume ( B = − 0.3303, P < 0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set. Conclusion Use of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost‐effective manner. Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non‐emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses. Results The model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight (B = 0.03222, P < 0.001), higher preoperative hematocrit (B = 0.6587, P < 0.001), and non‐vaginal hysterectomy (B = 0.2815, P = 0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count (B = − 0.00457, P < 0.001), greater estimated blood loss (B = − 0.00652, P < 0.001), and larger intraoperative crystalloid volume (B = − 0.3303, P < 0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set. Conclusion Use of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost‐effective manner. To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non-emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses. The model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight (B=0.03222, P<0.001), higher preoperative hematocrit (B=0.6587, P<0.001), and non-vaginal hysterectomy (B=0.2815, P=0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count (B=-0.00457, P<0.001), greater estimated blood loss (B=-0.00652, P<0.001), and larger intraoperative crystalloid volume (B=-0.3303, P<0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set. Use of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost-effective manner. Abstract Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non-emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses. Results The model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight ( B = 0.03222, P < 0.001), higher preoperative hematocrit ( B = 0.6587, P < 0.001), and non-vaginal hysterectomy ( B = 0.2815, P = 0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count ( B = − 0.00457, P < 0.001), greater estimated blood loss ( B = − 0.00652, P < 0.001), and larger intraoperative crystalloid volume ( B = − 0.3303, P < 0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set. Conclusion Use of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost-effective manner. To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. In a retrospective study, data were analyzed from the Michigan Surgery Quality Collaborative for non-emergent hysterectomies performed for benign indications among women aged at least 18 years between January 1, 2012, and April 4, 2014. Linear mixed models were used for univariate and multivariate analyses. The model was developed with data from 4747 hysterectomies and validated on 1184 cases. In the mixed multivariate analysis, higher postoperative day 1 (POD1) hematocrit levels were associated with higher weight (B=0.03222, P<0.001), higher preoperative hematocrit (B=0.6587, P<0.001), and non-vaginal hysterectomy (B=0.2815, P=0.0055). Lower POD1 hematocrit was associated with higher preoperative platelet count (B=−0.00457, P<0.001), greater estimated blood loss (B=−0.00652, P<0.001), and larger intraoperative crystalloid volume (B=−0.3303, P<0.001). The final model predicted POD1 hematocrit within 4% points of the actual value for 91.7% of cases in the validation set. Use of the model after uncomplicated hysterectomy might help to support the practice of selectively conducting postoperative hematocrit tests after hysterectomy in a clinically thoughtful and cost-effective manner. |
Author | Morgan, Daniel M. Berger, Mitchell B. Lanham, Michael S. Swenson, Carolyn W. |
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Cites_doi | 10.1097/01.AOG.0000285997.38553.4b 10.1016/j.ajog.2014.04.003 10.1097/AOG.0b013e3182841594 10.1111/j.1540-8191.2010.01143.x 10.1067/mob.2002.121255 10.1097/GME.0000000000000263 10.1016/j.amjsurg.2009.08.002 10.1016/j.ajog.2013.06.008 10.1111/j.1471-0528.2000.tb11652.x 10.1034/j.1600-0412.2003.00115.x 10.1177/107602960300900207 |
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Copyright | International Federation of Gynecology and Obstetrics 2015 International Federation of Gynecology and Obstetrics Copyright © 2015 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved. 2015 Published by Elsevier Ireland Ltd. 2015 |
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Snippet | Abstract Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data... To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. In a retrospective study, data were analyzed from the... Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data were... Abstract Objective To develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy. Methods In a retrospective study, data... OBJECTIVETo develop a model for predicting postoperative hematocrit levels after uncomplicated hysterectomy.METHODSIn a retrospective study, data were analyzed... |
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SubjectTerms | Adult Female Hematocrit - statistics & numerical data Humans Hysterectomy Hysterectomy, Vaginal - methods Laparoscopy Linear Models Middle Aged Multivariate Analysis Obstetrics and Gynecology Postoperative hematocrit Postoperative Period Prognosis Retrospective Studies |
Title | Predicting postoperative day 1 hematocrit levels after uncomplicated hysterectomy |
URI | https://www.clinicalkey.es/playcontent/1-s2.0-S0020729215001599 https://dx.doi.org/10.1016/j.ijgo.2015.01.014 https://onlinelibrary.wiley.com/doi/abs/10.1016%2Fj.ijgo.2015.01.014 https://www.ncbi.nlm.nih.gov/pubmed/25863540 https://search.proquest.com/docview/1686995625 https://pubmed.ncbi.nlm.nih.gov/PMC4461480 |
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