Prediksi Prognosis Penderita Trauma Kapitis Berdasarkan Gambaran CT scan Kepala

Authors

  • Kurniawati Husnah Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin http://orcid.org/0000-0002-4790-8089
  • Bachtiar Murtala Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin
  • Sri Asriyani Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin
  • Andi Alfian Zainuddin Departemen Ilmu Kesehatan Masyarakat/Ilmu Kedokteran Keluarga Fakultas Kedokteran Universitas Hasanuddin
  • Nasrullah Mustamir Departemen Ilmu Bedah Saraf Fakultas Kedokteran Universitas Hasanuddin
  • Nikmatia Latief Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

DOI:

https://doi.org/10.21776/ub.jkb.2019.030.04.12

Keywords:

CT, Marshall, , mortalitas, Rotterdam, trauma kapitis

Abstract

Trauma kapitis memiliki penyebab, patologi, tingkat keparahan dan prognosis yang berbeda-beda sehingga diperlukan prediktor terpercaya untuk menilai luaran pasien. CT scan berperan penting dalam mengevaluasi kerusakan struktural pada fase akut trauma kapitis. Penelitian ini bertujuan menilai gambaran CT scan kepala dalam memprediksi prognosis penderita trauma kapitis. Penelitian ini merupakan penelitian retrospektif terhadap 444 penderita trauma kapitis ringan sampai berat yang dilakukan pemeriksaan CT scan kepala di RSUP Dr. Wahidin Sudirohusodo Makassar selama periode Januari-Juni 2018. Peneliti mengidentifikasi gambaran CT scan yang berpengaruh terhadap mortalitas pasien. Hasil penelitian menunjukkan bahwa status sisterna basalis (compressed, OR=31.690, absent, OR=11.092, p<0.0001), midline shift (OR=2.889, p<0.0001), dan pendarahan subarachnoid atau intraventrikel (OR=6,977, p<0.0001) merupakan prediktor independen mortalitas penderita trauma kapitis.

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Author Biographies

Kurniawati Husnah, Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Bachtiar Murtala, Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Sri Asriyani, Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Andi Alfian Zainuddin, Departemen Ilmu Kesehatan Masyarakat/Ilmu Kedokteran Keluarga Fakultas Kedokteran Universitas Hasanuddin

Departemen Ilmu Kesehatan Masyarakat/Ilmu Kedokteran Keluarga Fakultas Kedokteran Universitas Hasanuddin

Nasrullah Mustamir, Departemen Ilmu Bedah Saraf Fakultas Kedokteran Universitas Hasanuddin

Departemen Ilmu Bedah Saraf Fakultas Kedokteran Universitas Hasanuddin

Nikmatia Latief, Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

Departemen Radiologi Fakultas Kedokteran Universitas Hasanuddin

References

Prins M, Greco T, Alexander D, and Giza CC. The Pathophysiology of Traumatic Brain Injury at a Glance. Disease Models & Mechanisms. 2013; 6(6): 1307-1315.

Raj R. Prognostic Models in Traumatic Brain Injury. [Disertasi]. University of Helsinki, Helsinki. 2014.

Badan Penelitian dan Pengembangan Kesehatan Kementerian Kesehatan Republik Indonesia. Riset Kesehatan Dasar (Riskesdas). Jakarta: Badan Penelitian dan Pengembangan Kesehatan Kementerian Kesehatan RI: 2013; hal. 101-102.

Zainuddin SZ, Kwandou L, Akbar M, Muis A, Kaelan C, dan Patellongi I. Hubungan Amnesia Post Trauma Kepala dengan Gangguan Neurobehavior pada Penderita Cedera Kepala Ringan dan Sedang. (Online) 2015. http://repository.unhas.ac.id/handle/123456789/9622 [diakses tanggal 11 September 2018].

Hutson CB, Lazo CR, Mortazavi F, Giza CC, Hovda D, and Chesselet MF. Traumatic Brain Injury in Adult Rats Causes Progressive Nigrostriatal Dopaminergic Cell Loss and Enhanced Vulnerability to the Pesticide Paraquat. Journal of Neurotrauma. 2011; 28(9): 1783-1801.

Maas AIR, Hukkelhoven CWPM, Marshall LF, and Steyerberg EW. Prediction of Outcome in Traumatic Brain Injury with Computed Tomographic Characteristics: A Comparison between the Computed Tomographic Classification and Combinations of Computed Tomographic Predictors. Neurosurgery. 2005; 57(6): 1173-1182.

Munakomi S. A Comparative Study Between Marshall and Rotterdam CT Scores in Predicting Early Deaths in Patients with Traumatic Brain Injury in a Major Tertiary Care Hospital in Nepal. Chinese Journal of Traumatology. 2016; 19(1): 25-27.

Deepika A, Prabhuraj AR, Saikia A, and Shukla D. Comparison of Predictability of Marshall and Rotterdam CT Scan Scoring System in Determining Early Mortality after Traumatic Brain Injury. Acta Neurochirurgica. 2015; 157(11): 2033-2038.

Mata-Mbemba D, Mugikura S, Nakagawa A, et al. Early CT Findings to Predict Early Death in Patients with Traumatic Brain Injury: Marshall and Rotterdam CT Scoring Systems Compared in the Major Academic Tertiary Care Hospital in Northeastern Japan. Academic Radiology. 2014; 21(5): 605-611.

Jacobs B, Beems T, van der Vliet TM, Borm GF, and Vos PE. The Status of the Fourth Ventricle and Ambient Cisterns Predict Outcome in Moderate and Severe Traumatic Brain Injury. Journal of Neurotrauma. 2010; 27(2): 331-340.

Yılmaz A, Avcil M, Kızılay Z, Özdener KM, Çırak B, and Tahta K. Evaluation of the Relationship of Intracranial Pressure with the Levels of Hypothalamic-Pituitary-Gonadal Axis Hormones on Prognosis in Severe Brain Injury. Meandros Medical and Dental Journal. 2017; 18: 13-19.

Kouvarellis AJ, Rohlwink UK, Sood V, Van Breda B, Gowen MJ, and Figaji AA. The Relationship between Basal Cisterns on CT and Time-Linked Intracranial Pressure in Paediatric Head Injury. Child's Nervous System. 2011; 27(7): 1139-1144.

Modi NJ, Agrawal M, and Sinha VD. Post-Traumatic Subarachnoid Hemorrhage: A Review. Neurology India. 2016; 64 Suppl: S8-S13

Liao CC, Chen YF, and Xiao F. Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms. International Journal of Biomedical Imaging. 2018; 2018: 1-13.

Chesnut RM, Ghajar J, Maas AIR, et al. Guidelines for the Management and Prognosis of Severe Traumatic Brain Injury Part II: Early Indicators of Prognosis in Severe Traumatic Brain Injury. Journal Neurotrauma. 2000; 17(6): 555-627.

Thelin EP, Nelson DW, VehvilainenJ, et al. Evaluation of Novel Computerized Tomography Scoring Systems in Human Traumatic Brain Injury: An Observational, Multicenter Study. PLoS Medicine. 2017; 14(8): 1-19.

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Published

2019-08-30

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Section

Research Article