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 inInternational journal of gynecology and obstetrics Vol. 130; no. 1; pp. 19 - 22
Main Authors Swenson, Carolyn W, Lanham, Michael S, Morgan, Daniel M, Berger, Mitchell B
Format Journal Article
LanguageEnglish
Published United States 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.
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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CitedBy_id crossref_primary_10_1093_milmed_usae325
crossref_primary_10_1002_ijgo_13422
crossref_primary_10_1055_s_0041_1739414
crossref_primary_10_1016_j_ajog_2018_04_059
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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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Keywords Postoperative hematocrit
Hysterectomy
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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
Volume 130
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