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A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma

PURPOSE: Surgery is the major treatment option for pheochromocytoma but carries potential risks, including hemorrhage and hemodynamic instability. Even with laparoscopic adrenalectomy, intraoperative blood transfusion happens from time to time, but few studies have investigated risk factors. For the...

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Autores principales: Guo, Ying, You, Lili, Hu, Huijun, Tong, Anli, Zhang, Xiaoyun, Yan, Li, Zhang, Shaoling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006300/
https://www.ncbi.nlm.nih.gov/pubmed/33790869
http://dx.doi.org/10.3389/fendo.2021.647610
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author Guo, Ying
You, Lili
Hu, Huijun
Tong, Anli
Zhang, Xiaoyun
Yan, Li
Zhang, Shaoling
author_facet Guo, Ying
You, Lili
Hu, Huijun
Tong, Anli
Zhang, Xiaoyun
Yan, Li
Zhang, Shaoling
author_sort Guo, Ying
collection PubMed
description PURPOSE: Surgery is the major treatment option for pheochromocytoma but carries potential risks, including hemorrhage and hemodynamic instability. Even with laparoscopic adrenalectomy, intraoperative blood transfusion happens from time to time, but few studies have investigated risk factors. For the first time we develop and validate a nomogram for prediction of red blood cell transfusion in pheochromocytoma surgery. METHODS: There were 246 patients in our center and 56 patients in Peking Union Medical College Hospital, who underwent pheochromocytoma surgery, enrolled in the study. We incorporated clinical and radiological risk factors, and presented this with a nomogram. Lasso regression model was used for feature selection. Logistic regression analysis was performed to identify the odd ratios. The performance of the nomogram was assessed with respect to its discrimination, calibration and clinical usefulness. RESULTS: Thirty-two features were reduced to five, which were phenoxybenzamine use, phenoxybenzamine treatment duration, preinduction heart rate, tumor diameter and surgical procedure. The model showed good discrimination (C-index, 0.857; 95% CI, 0.781–0.836) and application in the validation sets also gave good discrimination (internal validation: C-index, 0.831; 95% CI, 0.750–0.822; external validation: C-index, 0.924; 95% CI, 0.766–1.000). Calibration tested with the Hosmer-Lemeshow test yielded a good agreement between prediction and observation (training P=0.358; internal validation P=0.205; external validation P=0.395). Odd ratios of phenoxybenzamine use, phenoxybenzamine treatment duration, preinduction HR, tumor diameter and open surgery were 13.32 (95% CI, 1.48–197.38; P = 0.034), 1.04 (95% CI, 0.99–1.08; P = 0.092), 1.04 (95% CI, 1.01–1.08; P=0.006), 1.03 (95% CI, 1.02–1.06; P<0.001), 17.13 (95% CI, 5.18–78.79; P<0.001), respectively. Decision curve analysis demonstrated the clinical usefulness of the nomogram. CONCLUSIONS: This study presents a nomogram that may be used to facilitate the prediction of red blood cell transfusion in pheochromocytoma surgery and help to do the preoperative management more efficiently.
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spelling pubmed-80063002021-03-30 A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma Guo, Ying You, Lili Hu, Huijun Tong, Anli Zhang, Xiaoyun Yan, Li Zhang, Shaoling Front Endocrinol (Lausanne) Endocrinology PURPOSE: Surgery is the major treatment option for pheochromocytoma but carries potential risks, including hemorrhage and hemodynamic instability. Even with laparoscopic adrenalectomy, intraoperative blood transfusion happens from time to time, but few studies have investigated risk factors. For the first time we develop and validate a nomogram for prediction of red blood cell transfusion in pheochromocytoma surgery. METHODS: There were 246 patients in our center and 56 patients in Peking Union Medical College Hospital, who underwent pheochromocytoma surgery, enrolled in the study. We incorporated clinical and radiological risk factors, and presented this with a nomogram. Lasso regression model was used for feature selection. Logistic regression analysis was performed to identify the odd ratios. The performance of the nomogram was assessed with respect to its discrimination, calibration and clinical usefulness. RESULTS: Thirty-two features were reduced to five, which were phenoxybenzamine use, phenoxybenzamine treatment duration, preinduction heart rate, tumor diameter and surgical procedure. The model showed good discrimination (C-index, 0.857; 95% CI, 0.781–0.836) and application in the validation sets also gave good discrimination (internal validation: C-index, 0.831; 95% CI, 0.750–0.822; external validation: C-index, 0.924; 95% CI, 0.766–1.000). Calibration tested with the Hosmer-Lemeshow test yielded a good agreement between prediction and observation (training P=0.358; internal validation P=0.205; external validation P=0.395). Odd ratios of phenoxybenzamine use, phenoxybenzamine treatment duration, preinduction HR, tumor diameter and open surgery were 13.32 (95% CI, 1.48–197.38; P = 0.034), 1.04 (95% CI, 0.99–1.08; P = 0.092), 1.04 (95% CI, 1.01–1.08; P=0.006), 1.03 (95% CI, 1.02–1.06; P<0.001), 17.13 (95% CI, 5.18–78.79; P<0.001), respectively. Decision curve analysis demonstrated the clinical usefulness of the nomogram. CONCLUSIONS: This study presents a nomogram that may be used to facilitate the prediction of red blood cell transfusion in pheochromocytoma surgery and help to do the preoperative management more efficiently. Frontiers Media S.A. 2021-03-11 /pmc/articles/PMC8006300/ /pubmed/33790869 http://dx.doi.org/10.3389/fendo.2021.647610 Text en Copyright © 2021 Guo, You, Hu, Tong, Zhang, Yan and Zhang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Guo, Ying
You, Lili
Hu, Huijun
Tong, Anli
Zhang, Xiaoyun
Yan, Li
Zhang, Shaoling
A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma
title A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma
title_full A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma
title_fullStr A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma
title_full_unstemmed A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma
title_short A Predictive Nomogram for Red Blood Cell Transfusion in Pheochromocytoma Surgery: A Study on Improving the Preoperative Management of Pheochromocytoma
title_sort predictive nomogram for red blood cell transfusion in pheochromocytoma surgery: a study on improving the preoperative management of pheochromocytoma
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006300/
https://www.ncbi.nlm.nih.gov/pubmed/33790869
http://dx.doi.org/10.3389/fendo.2021.647610
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