ANALISIS AKURASI GLASGOW COMA SCALE (GCS) DALAM MEMPREDIKSI MORTALITY PASIEN CEDERA KEPALA

Ristanto, Riki and Zakaria, Amin (2017) ANALISIS AKURASI GLASGOW COMA SCALE (GCS) DALAM MEMPREDIKSI MORTALITY PASIEN CEDERA KEPALA. In: Prosiding Seminar Nasional Hasil Penelitian Dan Pengabdian Kepada Masyarakat. Membangun Masyarakat Sehat Sejahtera Menuju Pencapaian SDGS (1). LPPM Stikes Majapahit Mojokerto, Mojokerto, pp. 95-99. ISBN 978-602-51139-0-1

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Abstract

Abstract Background. Measurement of severity and mortality predictions in cases of head injury is an important step to support appropriate, effective and efficient clinical decision-making. Glasgow Coma Score (GCS) is physiologycal scoring systems that can be used as predictors of mortality of head injury patients. The objective of the study was to know accuracy GCS as a predictor of mortality of head injured patients. Method. The observational analytic study with this retrospective cohort design approach was carried out at dr. Iskak Tulungagung on Medical Record. Data taken from all patient medical records from January 2016 to July 2017 amounted to 150 medical records. Variables used were GCS scores when patients were admitted to hospital IGD as well as patient mortality data within 7 days of treatment. The data obtained is then processed with SPSS 20 using Mann Whitney Test, logistic regression. Results. Based on Mann-Whitney test results, p value GCS = 0,000, based on multivariate logistic regression test, GCS has sensitivity 0.7586, specificity 0.7934, Positive Predictive Value (PPV) 0.468, and Negative Predictive Value (NPV) 0.932. Conclusion. GCS is a good predictor of mortality in cases of head trauma with sensitivity 0.7586, specificity 0.7934, PPV 0.468, and NPV 0.932. Keywords: Accuracy, GCS, Head Injury Patient, Mortality.

Item Type: Book Section
Contributors:
ContributionNameNIDN / NIDKEmail
ReviewerAhsan, .NIDN0014086412UNSPECIFIED
ReviewerPrasetyo, Yoyok BektiNIDN0714097502UNSPECIFIED
Uncontrolled Keywords: Accuracy, GCS, Head Injury Patient, Mortality.
Divisions: Nursing Study Program
Depositing User: Yacobus Sudaryono
Date Deposited: 10 Dec 2019 05:15
Last Modified: 24 Aug 2023 07:09
URI: http://repository.itsk-soepraoen.ac.id/id/eprint/376

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