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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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 |
work_keys_str_mv |
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