Literature DB >> 20230998

Good mortality prediction by Glasgow Coma Scale for neurosurgical patients.

Hsien-Wei Ting1, Ming-Shung Chen, Yueh-Chun Hsieh, Chien-Lung Chan.   

Abstract

BACKGROUND: How to effectively use the finite resources of an intensive care unit (ICU) for neurosurgical patients is a critical decision-making process. Mortality prediction models are effective tools for allocating facilities. This study intended to distinguish the prediction power of the Acute Physiology and Chronic Health Evaluation II (APACHE II), the Simplified Acute Physiology Score II (SAPS II), and the Glasgow Coma Scale (GCS) for neurosurgical patients.
METHODS: According to the definitions of the APACHE II, this study recorded both APACHE II and SAPS II scores of 154 neurosurgical patients in the ICU of a 600-bed general hospital. Linear regression models of GCS (GCS-mr) were constructed. The t test, receiver operating characteristic (ROC) curve and Wilcoxon signed rank test were used as the statistical evaluation methods.
RESULTS: There were 50 (32.5%) females and 104 (67.5%) males in this study. Among them, 108 patients survived and 46 patients died. The areas under the ROC curves (AUC) of SAPS II and APACHE II were 0.872 and 0.846, respectively. The AUC of GCS-mr was 0.866, and the R(2) was 0.389. The evaluation powers of SAPS II, GCS-mr and APACHE II were the same (p > 0.05). Patients with GCS <or= 5 or motor component of GCS (GCS-M) <or= 3 had a higher probability of mortality than patients with GCS > 5 or GCS-M > 3 (p < 0.01).
CONCLUSION: The predictive powers of SAPS II, APACHE II and GCS-mr were the same. The GCS-mr is more convenient for predicting mortality in neurosurgical patients. Both GCS <or= 5 and GCS-M <or= 3 are good indicators of mortality in these patients. Copyright 2010 Elsevier. Published by Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20230998     DOI: 10.1016/S1726-4901(10)70028-9

Source DB:  PubMed          Journal:  J Chin Med Assoc        ISSN: 1726-4901            Impact factor:   2.743


  10 in total

1.  Effect of the modified Glasgow Coma Scale score criteria for mild traumatic brain injury on mortality prediction: comparing classic and modified Glasgow Coma Scale score model scores of 13.

Authors:  Jorge Humberto Mena; Alvaro Ignacio Sanchez; Andres M Rubiano; Andrew B Peitzman; Jason L Sperry; Maria Isabel Gutierrez; Juan Carlos Puyana
Journal:  J Trauma       Date:  2011-11

2.  Longer Time Before Acute Rehabilitation Therapy Worsens Disability After Intracerebral Hemorrhage.

Authors:  Carmen E Capo-Lugo; Robert L Askew; Kathryn Muldoon; Matthew Maas; Eric Liotta; Shyam Prabhakaran; Andrew Naidech
Journal:  Arch Phys Med Rehabil       Date:  2019-12-23       Impact factor: 3.966

3.  Preoperative serum lactate cannot predict in-hospital mortality after decompressive craniectomy in traumatic brain injury.

Authors:  Youn Yi Jo; Ji Young Kim; Jung Ju Choi; Wol Seon Jung; Yong Beom Kim; Hyun Jeong Kwak
Journal:  J Anesth       Date:  2016-04-04       Impact factor: 2.078

4.  Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients.

Authors:  Ali Khajeh; Afshin Fayyazi; Ghasem Miri-Aliabad; Hasan Askari; Noormohammad Noori; Behrouz Khajeh
Journal:  Iran J Pediatr       Date:  2014-09-12       Impact factor: 0.364

5.  The ability of two scoring systems to predict in-hospital mortality of patients with moderate and severe traumatic brain injuries in a Moroccan intensive care unit.

Authors:  Hicham Nejmi; Houssam Rebahi; Aziz Ejlaidi; Taoufik Abouelhassan; Mohamed Abdenasser Samkaoui
Journal:  Indian J Crit Care Med       Date:  2014-06

6.  The use of SAPS 3, SOFA, and Glasgow Coma Scale to predict mortality in patients with subarachnoid hemorrhage: A retrospective cohort study.

Authors:  Anibal Basile-Filho; Alessandra Fabiane Lago; Mayra Gonçalves Menegueti; Edson Antonio Nicolini; Roosevelt Santos Nunes; Silas Lucena de Lima; João Paulo Uvera Ferreira; Marcus Antonio Feres
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

7.  Estimated incidence and case fatality rate of traumatic brain injury among children (0-18 years) in Sub-Saharan Africa. A systematic review and meta-analysis.

Authors:  Martin Ackah; Mohammed Gazali Salifu; Cynthia Osei Yeboah
Journal:  PLoS One       Date:  2021-12-30       Impact factor: 3.240

8.  Clinical Characteristics and Outcomes of Critically Ill Neurological Patients with COVID-19 Infection in Neuro-intensive Care Unit: A Retrospective Study.

Authors:  Rohini M Surve; Rajeeb K Mishra; Soumya R Malla; Sriganesh Kamath; Dhritiman R Chakrabarti; Karthik Kulanthaivelu; Mahendranath Musunuru
Journal:  Indian J Crit Care Med       Date:  2021-10

Review 9.  State of the Art of Machine Learning-Enabled Clinical Decision Support in Intensive Care Units: Literature Review.

Authors:  Na Hong; Chun Liu; Jianwei Gao; Lin Han; Fengxiang Chang; Mengchun Gong; Longxiang Su
Journal:  JMIR Med Inform       Date:  2022-03-03

10.  Modified Revised Trauma-Marshall score as a proposed tool in predicting the outcome of moderate and severe traumatic brain injury.

Authors:  Tjokorda Gde Bagus Mahadewa; Nyoman Golden; Anne Saputra; Christopher Ryalino
Journal:  Open Access Emerg Med       Date:  2018-10-08
  10 in total

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