Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma

Background Prognosis of low-grade glioma are currently determined by genetic markers that are limited in some countries. This study aimed to use clinical parameters to develop a nomogram to predict survival of patients with diffuse astrocytoma (DA) which is the most common type of low-grade glioma....

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Main Authors: Thara Tunthanathip, Sanguansin Ratanalert, Sakchai Sae-heng, Thakul Oearsakul, Ittichai Sakaruncchai, Anukoon Kaewborisutsakul, Thirachit Chotsampancharoen, Utcharee Intusoma, Amnat Kitkhuandee, Tanat Vaniyapong
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2020-01-01
Series:Journal of Neurosciences in Rural Practice
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-3403446
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spelling doaj-5cdc62648b014b1d9c409317219625662021-02-02T04:40:03ZengThieme Medical and Scientific Publishers Pvt. Ltd.Journal of Neurosciences in Rural Practice0976-31470976-31552020-01-01110113514310.1055/s-0039-3403446Prognostic Factors and Nomogram Predicting Survival in Diffuse AstrocytomaThara Tunthanathip0Sanguansin Ratanalert1Sakchai Sae-heng2Thakul Oearsakul3Ittichai Sakaruncchai4Anukoon Kaewborisutsakul5Thirachit Chotsampancharoen6Utcharee Intusoma7Amnat Kitkhuandee8Tanat Vaniyapong9Division of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandSchool of Medicine, Mae Fah Luang University, Chiang Rai, ThailandDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandDivision of Hematology/Oncology, Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandDivision of Pediatric Neurology, Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla, ThailandDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, ThailandDivision of Neurosurgery, Department of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai, ThailandBackground Prognosis of low-grade glioma are currently determined by genetic markers that are limited in some countries. This study aimed to use clinical parameters to develop a nomogram to predict survival of patients with diffuse astrocytoma (DA) which is the most common type of low-grade glioma. Materials and Methods Retrospective data of adult patients with DA from three university hospitals in Thailand were analyzed. Collected data included clinical characteristics, neuroimaging findings, treatment, and outcomes. Cox’s regression analyses were performed to determine associated factors. Significant associated factors from the Cox regression model were subsequently used to develop a nomogram for survival prediction. Performance of the nomogram was then tested for its accuracy. Results There were 64 patients with DA with a median age of 39.5 (interquartile range [IQR] = 20.2) years. Mean follow-up time of patients was 42 months (standard deviation [SD] = 34.3). After adjusted for three significant factors associated with survival were age ≥60 years (hazard ratio [HR] = 5.8; 95% confidence interval [CI]: 2.09–15.91), motor response score of Glasgow coma scale < 6 (HR = 75.5; 95% CI: 4.15–1,369.4), and biopsy (HR = 0.45; 95% CI: 0.21–0.92). To predict 1-year mortality, sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the curve our nomogram was 1.0, 0.50, 0.45, 1.0, 0.64, and 0.75, respectively. Conclusions This study provided a nomogram predicting prognosis of DA. The nomogram showed an acceptable performance for predicting 1-year mortality.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-3403446diffuse astrocytomanomogramsurvival analysis
collection DOAJ
language English
format Article
sources DOAJ
author Thara Tunthanathip
Sanguansin Ratanalert
Sakchai Sae-heng
Thakul Oearsakul
Ittichai Sakaruncchai
Anukoon Kaewborisutsakul
Thirachit Chotsampancharoen
Utcharee Intusoma
Amnat Kitkhuandee
Tanat Vaniyapong
spellingShingle Thara Tunthanathip
Sanguansin Ratanalert
Sakchai Sae-heng
Thakul Oearsakul
Ittichai Sakaruncchai
Anukoon Kaewborisutsakul
Thirachit Chotsampancharoen
Utcharee Intusoma
Amnat Kitkhuandee
Tanat Vaniyapong
Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma
Journal of Neurosciences in Rural Practice
diffuse astrocytoma
nomogram
survival analysis
author_facet Thara Tunthanathip
Sanguansin Ratanalert
Sakchai Sae-heng
Thakul Oearsakul
Ittichai Sakaruncchai
Anukoon Kaewborisutsakul
Thirachit Chotsampancharoen
Utcharee Intusoma
Amnat Kitkhuandee
Tanat Vaniyapong
author_sort Thara Tunthanathip
title Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma
title_short Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma
title_full Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma
title_fullStr Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma
title_full_unstemmed Prognostic Factors and Nomogram Predicting Survival in Diffuse Astrocytoma
title_sort prognostic factors and nomogram predicting survival in diffuse astrocytoma
publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
series Journal of Neurosciences in Rural Practice
issn 0976-3147
0976-3155
publishDate 2020-01-01
description Background Prognosis of low-grade glioma are currently determined by genetic markers that are limited in some countries. This study aimed to use clinical parameters to develop a nomogram to predict survival of patients with diffuse astrocytoma (DA) which is the most common type of low-grade glioma. Materials and Methods Retrospective data of adult patients with DA from three university hospitals in Thailand were analyzed. Collected data included clinical characteristics, neuroimaging findings, treatment, and outcomes. Cox’s regression analyses were performed to determine associated factors. Significant associated factors from the Cox regression model were subsequently used to develop a nomogram for survival prediction. Performance of the nomogram was then tested for its accuracy. Results There were 64 patients with DA with a median age of 39.5 (interquartile range [IQR] = 20.2) years. Mean follow-up time of patients was 42 months (standard deviation [SD] = 34.3). After adjusted for three significant factors associated with survival were age ≥60 years (hazard ratio [HR] = 5.8; 95% confidence interval [CI]: 2.09–15.91), motor response score of Glasgow coma scale < 6 (HR = 75.5; 95% CI: 4.15–1,369.4), and biopsy (HR = 0.45; 95% CI: 0.21–0.92). To predict 1-year mortality, sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the curve our nomogram was 1.0, 0.50, 0.45, 1.0, 0.64, and 0.75, respectively. Conclusions This study provided a nomogram predicting prognosis of DA. The nomogram showed an acceptable performance for predicting 1-year mortality.
topic diffuse astrocytoma
nomogram
survival analysis
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-3403446
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