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Analisis Survival Kecepatan Kekambuhan Stroke

Jurnal Biometrika dan Kependudukan · Vol. 6 No. 1 (2018) · hlm. 62–69

DOI
10.20473/jbk.v6i1.2017.62-69
ISSN
2540-8828, 2302-707X
Terbit
2018-10-30
Penerbit
Universitas Airlangga
Bahasa
eng

Abstrak

The objective of this study was to apply cox regression to factor analysis of stroke recurrence rate. This type of research was applied research on secondary data. The samples were 178 first stroke patients who are enrolled in inpatient period January to December 2011 and then made observations on the incidence of recurrent strokes up in February 2017 in medical record. Analysis techniques using Cox regression analysis on risk factors of stroke recurrence rate in RSAU dr. Esnawan Antariksa Halim Perdana Kusumah Jakarta. The analysis exhibited that the rate of recurrence of stroke has the same risk between categories of obesity. Stroke patients with a history of hypertension had a risk of a stroke recurrence rate of 5.594 times more likely than stroke patients with no history of hypertension, stroke patients with a history of diabetes mellitus had a risk of stroke recurrence rate of 1.912 times more likely than stroke patients with no history of diabetes mellitus, stroke patients with a history of dyslipidemia The risk of a recurrence rate of stroke was 2.153 times more likely than stroke patients without a history of dyslipidemia, and stroke patients with a history of heart abnormalities had a risk of recurrent stroke rates of 2.321 times more likely than stroke patients without a history of heart abnormalities. For stroke patients with a history of hypertension, diabetes mellitus, dyslipidemia and a history of cardiac abnormalities, need to do regular check-ups and controls every month to avoid recurrence of stroke.

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  • Universitas Airlangga
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Ririh YudhastutiAfiliasi tidak diketahui4
Kuntoro KuntoroAfiliasi tidak diketahui3
Lilis SulistyoriniAfiliasi tidak diketahui3
Rachmah IndawatiAfiliasi tidak diketahui2
Farapti FaraptiUniversitas Airlangga2
Khuliyah Candraning DiyanahUniversitas Airlangga2
Aditya Sukma PawitraUniversitas Airlangga2
Muhammad Rasyid RidhaAfiliasi tidak diketahui2
Rahmat DapariAfiliasi tidak diketahui2
Diva Alishya ShafwahAfiliasi tidak diketahui2
Babucarr JasseyAfiliasi tidak diketahui2
Nafi'atul IrbahAfiliasi tidak diketahui2
David Setyo BudiAfiliasi tidak diketahui1
Hotmauli SiahaanAfiliasi tidak diketahui1
Yudi Her OktavionoAfiliasi tidak diketahui1
Paulus Parholong SiahaanAfiliasi tidak diketahui1
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Dwi - KuswantoAfiliasi tidak diketahui1
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Diah RatnadewiAfiliasi tidak diketahui1
Atik Choirul HidajahAfiliasi tidak diketahui1
Ika Dewi AnaAfiliasi tidak diketahui1
Christofora Hanny WidjajaAfiliasi tidak diketahui1
Rizka Musdalifah AmsarAfiliasi tidak diketahui1
Triati Dewi Kencana WunguAfiliasi tidak diketahui1
Fedik Abdul RantamAfiliasi tidak diketahui1
Ferdiansyah FerdiansyahAfiliasi tidak diketahui1
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Damayanti TinduhAfiliasi tidak diketahui1
Dwikora Novembri UtomoAfiliasi tidak diketahui1
Heri SurotoAfiliasi tidak diketahui1
Mochammad Bagus QomaruddinUniversitas Airlangga1
Apik Indarty MoedjionoHasanuddin University1
Nursalam NursalamAfiliasi tidak diketahui1
Fery Agusman Motuho MendrofaAfiliasi tidak diketahui1
Chatarina U. WahyuniAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JBK/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Analisis Survival Kecepatan Kekambuhan Stroke</dc:title>
	<dc:creator>Pramudita, Karina</dc:creator>
	<dc:creator>Notobroto, Hari Basuki</dc:creator>
	<dc:subject xml:lang="en-US">cox regression</dc:subject>
	<dc:subject xml:lang="en-US">stroke recurrent rate</dc:subject>
	<dc:subject xml:lang="en-US">risk factors</dc:subject>
	<dc:description xml:lang="en-US">The objective of this study was to apply cox regression to factor analysis of stroke recurrence rate. This type of research was applied research on secondary data. The samples were 178 first stroke patients who are enrolled in inpatient period January to December 2011 and then made observations on the incidence of recurrent strokes up in February 2017 in medical record. Analysis techniques using Cox regression analysis on risk factors of stroke recurrence rate in RSAU dr. Esnawan Antariksa Halim Perdana Kusumah Jakarta. The analysis exhibited that the rate of recurrence of stroke has the same risk between categories of obesity. Stroke patients with a history of hypertension had a risk of a stroke recurrence rate of 5.594 times more likely than stroke patients with no history of hypertension, stroke patients with a history of diabetes mellitus had a risk of stroke recurrence rate of 1.912 times more likely than stroke patients with no history of diabetes mellitus, stroke patients with a history of dyslipidemia The risk of a recurrence rate of stroke was 2.153 times more likely than stroke patients without a history of dyslipidemia, and stroke patients with a history of heart abnormalities had a risk of recurrent stroke rates of 2.321 times more likely than stroke patients without a history of heart abnormalities. For stroke patients with a history of hypertension, diabetes mellitus, dyslipidemia and a history of cardiac abnormalities, need to do regular check-ups and controls every month to avoid recurrence of stroke.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2018-10-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JBK/article/view/4943</dc:identifier>
	<dc:identifier>10.20473/jbk.v6i1.2017.62-69</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Biometrika dan Kependudukan; Vol. 6 No. 1 (2017): JURNAL BIOMETRIKA DAN KEPENDUDUKAN; 62-69</dc:source>
	<dc:source>2540-8828</dc:source>
	<dc:source>2302-707X</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JBK/article/view/4943/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Jurnal Biometrika dan Kependudukan</dc:rights>
</oai_dc:dc>