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Surgical risk assessment for gynecological oncologic patients

OBJECTIVE: Preoperative surgical risk assessment is important in terms of postoperative morbidity and mortality. Therefore, it is necessary to evaluate the efficacy and safety of these surgeries via an ideal risk assessment model, and reduce risks via applying some findings (for instance, perioperat...

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Autores principales: Biçer, Çağlayan, Raoufi, Jalal, İşcan, Serhan Can, Güney, Mehmet, Erdemoğlu, Evrim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792055/
https://www.ncbi.nlm.nih.gov/pubmed/31673467
http://dx.doi.org/10.4274/tjod.galenos.2019.93584
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author Biçer, Çağlayan
Raoufi, Jalal
İşcan, Serhan Can
Güney, Mehmet
Erdemoğlu, Evrim
author_facet Biçer, Çağlayan
Raoufi, Jalal
İşcan, Serhan Can
Güney, Mehmet
Erdemoğlu, Evrim
author_sort Biçer, Çağlayan
collection PubMed
description OBJECTIVE: Preoperative surgical risk assessment is important in terms of postoperative morbidity and mortality. Therefore, it is necessary to evaluate the efficacy and safety of these surgeries via an ideal risk assessment model, and reduce risks via applying some findings (for instance, perioperative beta-blockers). There are some risk assessment systems, but these have generally not been verified for patients with gynecologic cancer. The aim of this study was to assess the risk of surgery for gynecological oncologic patients and suggest an easy risk assessment model and risk reduction by applying our findings. MATERIALS AND METHODS: We retrospectively analyzed 258 gynecologic patients with cancer. Age, diagnosis, staging, performance scale, metoprolol use, heart, renal diabetes, Chronic Obstructive Pulmonary disease, diabetes, operation type and length, carcinoma antigen 125, ascites, albumin, surgical procedure, hospitalization length, and complications were recorded. RESULTS: Of the 258 patients, 173 patients (67.1%) had no complications, 43 patients (16.7%) had one and 42 patients (16.3%) had two or more complications. The most common complication was the acid-base imbalance (14%), followed by urinary tract infection (9.7%). Parameters associated with complications were performance status, ascites, operating length, metoprolol use, and upper abdominal surgery. In our proposed scoring model with a total score range 0-23, cut-off value points for both the presence and rate of complications was found as >5. CONCLUSION: In gynecological patients with cancer, the addition of metoprolol use and upper abdominal surgery within preoperative risk assessment evaluation parameters are significantly effective in predicting the rate and severity of complications. Moreover, we have suggested a simple, practical, and convenient scoring model for this evaluation.
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spelling pubmed-67920552019-10-31 Surgical risk assessment for gynecological oncologic patients Biçer, Çağlayan Raoufi, Jalal İşcan, Serhan Can Güney, Mehmet Erdemoğlu, Evrim Turk J Obstet Gynecol Clinical Investigation OBJECTIVE: Preoperative surgical risk assessment is important in terms of postoperative morbidity and mortality. Therefore, it is necessary to evaluate the efficacy and safety of these surgeries via an ideal risk assessment model, and reduce risks via applying some findings (for instance, perioperative beta-blockers). There are some risk assessment systems, but these have generally not been verified for patients with gynecologic cancer. The aim of this study was to assess the risk of surgery for gynecological oncologic patients and suggest an easy risk assessment model and risk reduction by applying our findings. MATERIALS AND METHODS: We retrospectively analyzed 258 gynecologic patients with cancer. Age, diagnosis, staging, performance scale, metoprolol use, heart, renal diabetes, Chronic Obstructive Pulmonary disease, diabetes, operation type and length, carcinoma antigen 125, ascites, albumin, surgical procedure, hospitalization length, and complications were recorded. RESULTS: Of the 258 patients, 173 patients (67.1%) had no complications, 43 patients (16.7%) had one and 42 patients (16.3%) had two or more complications. The most common complication was the acid-base imbalance (14%), followed by urinary tract infection (9.7%). Parameters associated with complications were performance status, ascites, operating length, metoprolol use, and upper abdominal surgery. In our proposed scoring model with a total score range 0-23, cut-off value points for both the presence and rate of complications was found as >5. CONCLUSION: In gynecological patients with cancer, the addition of metoprolol use and upper abdominal surgery within preoperative risk assessment evaluation parameters are significantly effective in predicting the rate and severity of complications. Moreover, we have suggested a simple, practical, and convenient scoring model for this evaluation. Galenos Publishing 2019-09 2019-10-10 /pmc/articles/PMC6792055/ /pubmed/31673467 http://dx.doi.org/10.4274/tjod.galenos.2019.93584 Text en ©Copyright 2019 by Turkish Society of Obstetrics and Gynecology | Turkish Journal of Obstetrics and Gynecology published by Galenos Publishing House. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Investigation
Biçer, Çağlayan
Raoufi, Jalal
İşcan, Serhan Can
Güney, Mehmet
Erdemoğlu, Evrim
Surgical risk assessment for gynecological oncologic patients
title Surgical risk assessment for gynecological oncologic patients
title_full Surgical risk assessment for gynecological oncologic patients
title_fullStr Surgical risk assessment for gynecological oncologic patients
title_full_unstemmed Surgical risk assessment for gynecological oncologic patients
title_short Surgical risk assessment for gynecological oncologic patients
title_sort surgical risk assessment for gynecological oncologic patients
topic Clinical Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792055/
https://www.ncbi.nlm.nih.gov/pubmed/31673467
http://dx.doi.org/10.4274/tjod.galenos.2019.93584
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