DAFTAR PUSTAKA. [internet]. Jakarta; Salemba Medika. 2009: 56. [cited 2015 Jan 20. Available from:

53

DAFTAR PUSTAKA

1. Stroke Association. Stroke of The Nation: Stroke Statistics [internet]. 2015 [updated 2015

Jan;

cited

2015

Jan

20].

Available

from:

http://www.stroke.org.uk/sites/default/files/State%20of%20the%20Nation_2015_0.p df. 2. Rahayu S. Hubungan Frekuensi Stroke dengan Fungsi Kognitif di RSUD Arifin Achmad [dissertation]. Program Studi Ilmu Keperawatan Universitas Riau; 2014. 3. Batticaca F. Asuhan Keperawatan Klien dengan Gangguan Sistem Persarafan [internet]. Jakarta; Salemba Medika. 2009: 56. [cited 2015 Jan 20. Available from: https://books.google.co.id/books?id=AKDNoVXFVnEC&pg=PA183&dq=batticaca+ stroke+adalah&hl=en&sa=X&ei=fpLpVNXSB82KuATlhYDYAw&ved=0CBsQ6A EwAA#v=onepage&q=batticaca%20-%20stroke%20adalah&f=false. 4. Hacke W, Kaste M, Bogousslavsky J, Brainin M, Chamorro A, Lees K et al.. Ischemic

Stroke

Prophylaxis

and

Treatment-European

Stroke

Initiative

Recommendations [internet]. 2003;16:311-337 [cited 2014 Nov 23]. Available from: http://www.congrex-switzerland.com/fileadmin/files/2013/esostroke/pdf/EUSI2003_Cerebrovasc_Dis.pdf. 5. Zazulia A. Critical Care Management of Acute Ischemic Stroke [internet]. 2009:15 [cited 2015 Jan 20]. Available from: American Academy of Neurology. 6. Indonesian Society of Intensive Care Medicine. Pedoman Penyelenggaraan Intensive Care Unit (ICU) di Rumah Sakit [internet]. 2014 [cited 2015 Jan 20]. Available from: http://perdici.org/pedoman-icu/

54

7. Misbach J, Ali W. Stroke in Indonesia: A First Large Prospective Hospital-Based Study of Acute Stroke in 28 Hospitals in Indonesia [internet]. 2001 [cited 2015 Feb 23]. 8(3): 245. Available from: Journal of Clinical Neuroscience. 8. Garland A, Fransoo R, Olafson K, et al. The Epidemiology and Outcomes of Critical Illness in Manitoba. Manitoba Centre for Health Policy, University of Manitoba. 2012 [updated 2012 Apr; cited 2014 Feb 23]. Available from: http://mchpappserv.cpe.umanitoba.ca/deliverablesList.html. 9. Farid S. Rerata Waktu Penggunaan Ventilator pada Pasien Surgical ICU RSUP Dr. Kariadi pada bulan Januari 2010-Januari 2011 [dissertation]. Semarang (Indonesia): Universitas Diponegoro; 2011. 10. Norris J, Hachinski V. Intensive Care Management of Stroke Patients. 2015 [cited 2015 Feb 23]. Available from: http://stroke.ahajournals.org/ 11. Muttaqin A. Pengantar Asuhan Keperawatan dengan Gangguan Sistem Persarafan. Jakarta: Salemba Medika; 2008;128. 12. Badan Penelitian dan Pengembangan Kesehatan Kementerian Kesehatan RI. Riset Kesehatan Dasar 2013 [internet]. 2013 [cited 2014 Dec 3]. Available from: http://www.depkes.go.id/resources/download/general/Hasil%20Riskesdas%202013.p df. 13. Dinata CA, Safrita Y, Sastri S. Gambaran Faktor Risiko dan Tipe Stroke pada Pasien Rawat Inap di Bagian Penyakit Dalam RSUD Kabupaten Solok Selatan Periode 1 Januari 2010-31 Juni 2012. Jurnal Kesehatan Andalas. 2013; 2(2). 14. Sidharta P. Neurologi Klinis dalam Praktek Umum. Jakarta: Dian Rakyat, 2009: 260261. 15. Harsono. Kapita Selekta Neurologi, ed. 2. Yogyakarta: Gajah Mada University, 2005: 402.

55

16. Lumbantobing SM. Neurogeriatri. Jakarta: Balai Penerbit FKUI, 2004: 177. 17. Rambe AS. Stroke: Sekilas tentang Definisi, Penyebab, Efek, dan Faktor Risiko [dissertation]. Departemen Neurologi. Medan (Indonesia): Universitas Sumatera Utara, 2010. 18. Price S, Wilson L. Patofisiologi: Konsep Klinis Proses-Proses Penyakit, ed. 6. Jakarta: EGC, 2005; 2(3):1117. 19. World Health Organization. Cardio Vascular Disease, Risk Factors for Stroke [internet].

2009

[cited

2015

Feb

1].

Available

from:

http://www.who.int/cardiovascular_diseases/en/cvd_atlas_03_risk_factors.pdf. 20. American Stroke Association. Let’s Talk about Stroke: Risk Factors for Stroke [internet].

2003

[cited

2015

Feb

1].

Available

from:

http://www.rorc.research.va.gov/rescue/prevention/RFP_LTA_Stroke_Risk_Factors. pdf. 21. Sariningsih. Hubungan Jumlah Neutrofil Absolut dengan Mortalitas pada Stroke Iskemik Akut dengan Komplikasi Pneumonia [dissertation]. Departemen Ilmu Penyakit Saraf. Semarang (Indonesia): Universitas Diponegoro, 2011. 22. Setyopranoto I. Manajemen Stroke Akut [internet]. 2010 [cited 2015 Jan 20]. Available from:

http://www.slideshare.net/hawk888/manajemen-stroke-akut-dr-

ismail-setyopranoto-sp-s. 23. Rathore JA. Predictors of Mortality after Acute Stroke-A Prospective Hospital Based Study

[internet].

2011

[cited

2015

Feb

1];

1-2.

Available

from:

http://www.ayubmed.edu.pk/JAMC/23-2/Rathore.pdf. 24. Harvey RL. Deep Vein Thrombosis in Stroke [internet]. 2015 [cited 2015 Feb 3]. Available from: American Heart Association.

56

25. Bambang M. Pencegahan Stroke dan Jantung pada Usia Muda. Jakarta: Balai Pustaka FKUI, 2003: 272. 26. Vashishth I. Intensive Care Unit Utilization [internet]. 2010 [cited 2015 Feb 3]. Available

from:

https://www.sctimst.ac.in/Conferences/resources/FOCUS_2010/Dr.%20Indu%20%20INTENSIVE%20CARE%20UNIT%20UTILIZATION.pdf. 27. Arabi Y. A Prospective Study of Prolonged Stay in the Intensive Care Unit: Predictors and Impact on Resource Utilization [internet]. 2002 [cited 2015 Feb 3]. Available from: Oxford University Press. 28. American Thoracic Society. Mechanical Ventilation [internet]. 2013 [cited 2015 Feb 3].

Available

from:

http://patients.thoracic.org/information-

series/en/resources/mechanical-ventilation.pdf. 29. Sumardjo D. Pengantar Kimia: Buku Panduan Kuliah Mahasiswa Kedokteran dan Program Strata I Fakultas Bioeksakta. Jakarta: EGC, 2009: 423. 30. MG Ian, WM Jos. Antibiotic Policies: Theory and Practice. New York: Springer Science & Business Media, 2006: 261. 31. RY Jose, F Gyorgy. The 5-Minute ICU Consult. Philadelphia: Lippincott Williams & Wilkins, 2012: 38. 32. F Gyorgy, DU Richard. Pocket ICU. China: Lippincott Williams % Wilkins, 2012: IDSSSG 10-4. 33. MG Ian, WM Jos. Antibiotic Policies: Fighting Resistance. New York: Springer Science & Business Media, 2007: 211. 34. R Moussa, S Frida, S Ghassan, et al. Prediction of The Survival and Functional Ability of Severe Stroke Patients after ICU Therapeutic Intervention [internet]. 2008

57

[cited

2015

June

26].

Available

from:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443378/ 35. KU Tobi, NQ Okojie. Characteristic and Outcome of Stroke Patients with Cerebrovascular Accident at The Intensive Care Unit of A Tertiary Hospital in Nigeria

[internet].

2013

[cited

2015

June

26].

Available

from:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228813/ 36. Setiati S dkk. Proses Menua dan Implikasi Klinisnya. Dalam: Sudoyo AW dkk, editor. Buku Ajar Ilmu Penyakit Dalam. Jilid I. Edisi V. Jakarta: Interna Publishing; 2009. h. 760. 37. Rachmawati F. Gambaran Status Fungsional Pasien Stroke Saat Masuk Rawat Inap RSUD Arifin Achmad Pekanbaru [dissertation]. Program Studi Ilmu Keperawatan. Pekanbaru (Indonesia): Universitas Riau, 2013. 38. R Allyson. Critical Care Management of Acute Ischemic Stroke [internet]. 2009 [cited

2015

June

26].

Available

from:

https://residents.lsuhsc.edu/no/neurology/docs/critical%20care%20management%20o f%20acute%20stroke%20-%20zazulia.pdf 39. Martono H dkk. Stroke dan Penatalaksanaannya oleh Internis. Dalam: Sudoyo AW dkk, editor. Buku Ajar Ilmu Penyakit Dalam. Jilid I. Edisi V. Jakarta: Interna Publishing; 2009. 40. Ganong WF. Buku Ajar Fisiologi Kedokteran. Edisi 22. Jakarta: EGC; 2008. h. 325. 41. ES Ali, S Pawan, B Erkan, et al. Morbid Obesity in The Medical ICU [internet]. 2001 [cited

2015

June

26].

Available

from:

http://

http://journal.publications.chestnet.org/article.aspx?articleid=1080185 42. I Hiroyasu, R David, W Deborah. et al. Serum Cholesterol Levels and Six-Year Mortality from Stroke in 350,977 Men Screened for the Multiple Risk Factor

58

Intervention

Trial

[internet].

2015

[cited

June

27].

Available

from:

http://www.nejm.org/doi/pdf/10.1056/NEJM198904063201405 43. Ganong WF. Buku Ajar Fisiologi Kedokteran. Edisi 22. Jakarta: EGC; 2008. h. 320321. 44. MG David, EF Susan, LR Nancy, et al. Impact of Fever on Outcome in Patients With Stroke and Neurologic Injury: A Comprehensive Meta-Analysis [internet]. 2008 [cited

2015

June

27].

Available

from:

http://stroke.ahajournals.org/content/39/11/3029.full 45. FW Willeke, JN Paul, V Jan-Dirk, et al. Post-Stroke Infection: A Systematic Review and Meta-Analysis [internet]. 2011 [cited 2015 June 27]. Available from: http://www.biomedcentral.com/1471-2377/11/110/ 46. Anwar R. Meta Analisis [internet]. 2005 [cited 2015 July 9]. Available from: http://pustaka.unpad.ac.id/wp-content/uploads/2010/05/meta_analisis.pdf 47. M Fanshawe, B Venkatesh, RJ Boots. Outcome of Stroke Patients Admitted to Intensive Care: Experience from an Australian Teaching Hospital [internet]. 2002 [cited

2015

June

27].

Available

from:

http://www.ncbi.nlm.nih.gov/pubmed/12413265?report=abstract 48. JC Deborah, AC Mark, OM Maureen. Prevalence, Incidence, and Risk Factors for Venous Thromboembolism in Medical-Surgical Intensive Care Unit Patients [internet].

2005

[cited

2015

June

28].

Available

from:

http://www.sciencedirect.com/science/article/pii/S0883944105000869 49. Nederkoorn P. Antibiotics Reduce Infection But Don't Alter Stroke Outcome [internet].

2014

[cited

2015

June

http://www.medscape.com/viewarticle/833992#vp_2

28].

Available

from:

59

50. E Andreas, A Antonio, F Fernando, et al. Characteristics and Outcomes in Adult Patients Receiving Mechanical VentilationA 28-Day International Study [internet]. 2002

[cited

2015

June

28].

Available

from:

http://www.medscape.com/viewarticle/833992#vp_2 51. TA William, et al. Effect of Length of Stay in Intensive Care Unit on Hospital and Long-Term Mortality of Critically Ill Adult Patients [internet]. 2010 [cited 2015 June 28]. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20185517 52. Tobi KU, Amadasun FE. Prolonged Stay in the Intensive Care Unit of A Tertiary Hospital in Nigeria: Predisposing Factors and Outcome [internet]. 2015 [cited 2015 July

8].

Available

from:

http://www.ajmhs.org/article.asp?issn=2384-

5589;year=2015;volume=14;issue=1;spage=56;epage=60;aulast=Tobi

60

Lampiran 1. Lembar Kuesioner Penelitian

KUESIONER PENELITIAN Faktor - Faktor Yang Berhubungan dengan Outcome Pasien Stroke yang Dirawat di ICU RSUP Dr. Kariadi Semarang No.

Data Pasien

1.

No. CM

2.

Nama

3.

Alamat

4.

Jenis Kelamin: 1. Laki - laki Usia: 1. <50 tahun

5.

6.

7.

8.

Jenis Stroke: 1. Stroke Iskemik

Nilai

1

2

2. Perempuan 2. ≥50 tahun

Nilai : .......... 1 2

1

2

a. Hipertensi 1. Ya 2. Tidak

1

2

b. Diabetes Mellitus (DM) 1. Ya 2. Tidak

1

2

c. Penyakit Jantung 1. Ya 2. Tidak

1

2

d. Obesitas 1. Ya

1

2

e. Hiperkolesterolemia 1. Ya 2. Tidak

1

2

Pasien mengalami komplikasi Gagal Nafas: 1. Ya 2. Tidak

1

2

2. Stroke Hemoragik

Penyakit Komorbid:

2. Tidak

61

10.

Pasien disertai dengan Demam: 1. Ya 2. Tidak

1

2

11.

Pasien mengalami komplikasi Pneumonia: 1. Ya 2. Tidak

1

2

12.

Pasien mengalami komplikasi Infeksi Saluran Kemih (ISK): 1. Ya 2. Tidak

1

2

13.

Pasien mengalami komplikasi Edema Serebri: 1. Ya 2. Tidak

1

2

14.

Penurunan Kesadaran dengan Glasgow Coma Scale (GCS): 1. Ringan (GCS 13 - 15) 2. Sedang (GCS 9 - 12) 3. Berat (GCS 3 – 8)

Nilai: ........... 1 2

15.

Pasien mengalami komplikasi Deep Vein Thrombosis (DVT): 1. Ya 2. Tidak

1

16.

Pemakaian Antibiotik: 1. Ya 2. Tidak

Nilai: ................................. 1

17.

Pemeriksaan Kultur: 1. Ya 2. Tidak

3

2

2

Nilai: ................................. 1

2

18.

Lama Pemakaian Ventilator Mekanik

........... hari

19.

Lama Perawatan

.......... hari

20.

Outcome : 1. Hidup

1 2. Mati

2

62 Lampiran 2. Ethical Clearance

63

Lampiran 3. Surat Izin Penelitian

64

Lampiran 4. Hasil Analisis Frequency Table Jenis Kelamin

Valid

Laki-laki Perempuan Total

Frequency 13 13 26

Percent 50.0 50.0 100.0

Valid Percent 50.0 50.0 100.0

Cumulative Percent 50.0 100.0

Usia

Valid

< 50 >= 50 Total

Frequency 5 21 26

Percent 19.2 80.8 100.0



Diagnosis Stroke

Valid

Hemoragik Iskemik Total

Frequency 9 17 26

Percent 34.6 65.4 100.0



Hipertensi

Valid

Ya Tidak Total

Frequency 17 9 26

Percent 65.4 34.6 100.0



Diabetes Mellitus

Valid

Ya Tidak Total

Frequency 11 15 26

Percent 42.3 57.7 100.0



65

Penyakit Jantung

Valid

Ya Tidak Total

Frequency 3 23 26

Percent 11.5 88.5 100.0



Obesitas

Valid

Ya Tidak Total

Frequency 1 25 26

Percent 3.8 96.2 100.0



Hiperkolesterolemia

Valid

Ya Tidak Total

Frequency 1 25 26

Percent 3.8 96.2 100.0



Gagal Nafas

Valid

Ya Tidak Total

Frequency 16 10 26

Percent 61.5 38.5 100.0



Demam

Valid

Ya Tidak Total

Frequency 13 13 26

Percent 50.0 50.0 100.0



Pneumonia

Valid

Ya Tidak Total

Frequency 15 11 26

Percent 57.7 42.3 100.0



66

Infeksi Saluran Kemih

Valid

Ya Tidak Total

Frequency 2 24 26

Percent 7.7 92.3 100.0



Edema Serebri

Valid

Ya Tidak Total

Frequency 1 25 26

Percent 3.8 96.2 100.0



GCS

Valid

Berat Sedang Ringan Total

Frequency 14 8 4 26

Percent 53.8 30.8 15.4 100.0

Valid Percent 53.8 30.8 15.4 100.0

Cumulative Percent 53.8 84.6 100.0

Deep Vein Thrombosis

Valid

Ya Tidak Total

Frequency 1 25 26

Percent 3.8 96.2 100.0



Antibiotik

Valid

Ya Tidak Total

Frequency 24 2 26

Percent 92.3 7.7 100.0



Kultur

Valid

Ya Tidak Total

Frequency 16 10 26

Percent 61.5 38.5 100.0



67


Valid

> 24 jam <= 24 jam Total

Frequency 16 10 26

Percent 61.5 38.5 100.0



Lama Perawatan

Valid

> 7 hari <= 7 hari Total

Frequency 9 17 26

Percent 34.6 65.4 100.0



Outcome

Valid

Mati Hidup Total

Frequency 22 4 26

Percent 84.6 15.4 100.0



68

Crosstabs

Usia * Outcome Crosstab

Usia

< 50

>= 50

Total

Outcome Mati Hidup 4 1 4.2 .8 18.2% 25.0% 15.4% 3.8% 18 3 17.8 3.2 81.8% 75.0% 69.2% 11.5% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%

Count Expected Count % within Outcome % of Total Count Expected Count % within Outcome % of Total Count Expected Count % within Outcome % of Total

Total 5 5.0 19.2% 19.2% 21 21.0 80.8% 80.8% 26 26.0 100.0% 100.0%

Chi-Square Tests

Pearson Chi-Square Continuity Correctiona Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases

Value .101b .000 .096

df 1 1 1

.097

Asymp. Sig. (2-sided) .750 1.000 .757

1

Exact Sig. (2-sided)


1.000

.600

.755

26

a. Computed only for a 2x2 table b. 3 cells (75.0%) have expected count less than 5. The minimum expected count is . 77.

Risk Estimate

Value Odds Ratio for Usia (< 50 / >= 50) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases

95% Confidence Interval Lower Upper

.667

.054

8.196

.933

.582

1.496

1.400

.182

10.791

26

69

Jenis Kelamin * Outcome Crosstab

Jenis Kelamin

Laki-laki

Perempuan

Total

Outcome Mati Hidup 9 4 11.0 2.0 40.9% 100.0% 34.6% 15.4% 13 0 11.0 2.0 59.1% .0% 50.0% .0% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%


Total 13 13.0 50.0% 50.0% 13 13.0 50.0% 50.0% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value 4.727b 2.659 6.277

df 1 1 1

4.545

Asymp. Sig. (2-sided) .030 .103 .012

1



.096

.048

.033

26

a. Computed only for a 2x2 table b. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 2. 00.

Risk Estimate

Value For cohort Outcome = Mati N of Valid Cases

.692 26

95% Confidence Interval Lower Upper .482

.995

70

Diagnosis Stroke * Outcome Crosstab

Diagnosis Stroke

Hemoragik

Iskemik

Total


Outcome Mati Hidup 7 2 7.6 1.4 31.8% 50.0% 26.9% 7.7% 15 2 14.4 2.6 68.2% 50.0% 57.7% 7.7% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%

Total 9 9.0 34.6% 34.6% 17 17.0 65.4% 65.4% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .494b .017 .475

.475

df 1 1 1

1

Asymp. Sig. (2-sided) .482 .895 .491



.591

.431

.491

26


Risk Estimate

Value Odds Ratio for Diagnosis Stroke (Hemoragik / Iskemik) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


.467

.054

4.029

.881

.597

1.302

1.889

.317

11.265

26

71

Hipertensi * Outcome Crosstab

Hipertensi

Ya

Tidak

Total



Total 17 17.0 65.4% 65.4% 9 9.0 34.6% 34.6% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .193b .000 .202

.186

df 1 1 1

1

Asymp. Sig. (2-sided) .660 1.000 .653



1.000

.569

.667

26


Risk Estimate

Value Odds Ratio for Hipertensi (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


.583

.052

6.587

.926

.673

1.275

1.588

.192

13.153

26

72

Diabetes Mellitus * Outcome Crosstab

Diabetes Mellitus

Ya

Tidak

Total



Total 11 11.0 42.3% 42.3% 15 15.0 57.7% 57.7% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .580b .045 .611

df 1 1 1

.558

Asymp. Sig. (2-sided) .446 .832 .435

1



.614

.426

.455

26


Risk Estimate

Value Odds Ratio for Diabetes Mellitus (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


2.500

.224

27.940

1.136

.830

1.556

.455

.054

3.807

26

73

Penyakit Jantung * Outcome Crosstab

Penyakit Jantung

Ya

Tidak

Total

Outcome Mati Hidup 2 1 2.5 .5 9.1% 25.0% 7.7% 3.8% 20 3 19.5 3.5 90.9% 75.0% 76.9% 11.5% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%


Total 3 3.0 11.5% 11.5% 23 23.0 88.5% 88.5% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .839b .004 .694

.807

df 1 1 1

1

Asymp. Sig. (2-sided) .360 .948 .405



.408

.408

.369

26


Risk Estimate

Value Odds Ratio for Penyakit Jantung (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


.300

.020

4.418

.767

.339

1.733

2.556

.376

17.377

26

74

Obesitas * Outcome Crosstab

Obesitas

Ya

Tidak

Total

Outcome Mati Hidup 1 0 .8 .2 4.5% .0% 3.8% .0% 21 4 21.2 3.8 95.5% 100.0% 80.8% 15.4% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%


Total 1 1.0 3.8% 3.8% 25 25.0 96.2% 96.2% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .189b .000 .341

df 1 1 1

.182

Asymp. Sig. (2-sided) .664 1.000 .559

1



1.000

.846

.670

26


Risk Estimate


1.190 26

95% Confidence Interval Lower Upper 1.003

1.413

75

Hiperkolesterolemia * Outcome Crosstab

Hiperkolesterolemia

Ya


Tidak

Total


Total 1 1.0 3.8% 3.8% 25 25.0 96.2% 96.2% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .189b .000 .341

df 1 1 1

.182

Asymp. Sig. (2-sided) .664 1.000 .559

1



1.000

.846

.670

26


Risk Estimate


1.190 26


1.413

76

Gagal Nafas * Outcome Crosstab

Gagal Nafas

Ya

Tidak

Total



Total 16 16.0 61.5% 61.5% 10 10.0 38.5% 38.5% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .266b .000 .260

.256

df 1 1 1

Asymp. Sig. (2-sided) .606 1.000 .610

1



.625

.504

.613

26


Risk Estimate

Value Odds Ratio for Gagal Nafas (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


1.750

.205

14.931

1.094

.762

1.569

.625

.104

3.757

26

77

Demam * Outcome Crosstab

Demam

Ya

Tidak

Total



Total 13 13.0 50.0% 50.0% 13 13.0 50.0% 50.0% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value 1.182b .295 1.229

1.136

df 1 1 1

Asymp. Sig. (2-sided) .277 .587 .268

1



.593

.297

.286

26


Risk Estimate

Value Odds Ratio for Demam (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


3.600

.322

40.233

1.200

.857

1.680

.333

.040

2.801

26

78

Pneumonia * Outcome Crosstab

Pneumonia

Ya

Tidak

Total



Total 15 15.0 57.7% 57.7% 11 11.0 42.3% 42.3% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .580b .045 .611

.558

df 1 1 1

1

Asymp. Sig. (2-sided) .446 .832 .435



.614

.426

.455

26


Risk Estimate

Value Odds Ratio for Pneumonia (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


.400

.036

4.470

.880

.642

1.205

2.200

.263

18.425

26

79

Infeksi Saluran Kemih * Outcome Crosstab

Infeksi Saluran Kemih

Ya

Tidak

Total

Outcome Mati Hidup 2 0 1.7 .3 9.1% .0% 7.7% .0% 20 4 20.3 3.7 90.9% 100.0% 76.9% 15.4% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%


Total 2 2.0 7.7% 7.7% 24 24.0 92.3% 92.3% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .394b .000 .698

df 1 1 1

.379

Asymp. Sig. (2-sided) .530 1.000 .404

1



1.000

.711

.538

26


Risk Estimate


1.200 26


1.435

80

Edema Serebri * Outcome Crosstab

Edema Serebri

Ya

Tidak

Total



Total 1 1.0 3.8% 3.8% 25 25.0 96.2% 96.2% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .189b .000 .341

df 1 1 1

.182

Asymp. Sig. (2-sided) .664 1.000 .559

1



1.000

.846

.670

26


Risk Estimate


1.190 26


1.413

81

GCS * Outcome Crosstab

GCS

Berat

Sedang

Ringan

Total

Outcome Mati Hidup 13 1 11.8 2.2 59.1% 25.0% 50.0% 3.8% 7 1 6.8 1.2 31.8% 25.0% 26.9% 3.8% 2 2 3.4 .6 9.1% 50.0% 7.7% 7.7% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%

Count Expected Count % within Outcome % of Total Count Expected Count % within Outcome % of Total Count Expected Count % within Outcome % of Total Count Expected Count % within Outcome % of Total

Chi-Square Tests

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

Value 4.463a 3.546 3.363

2 2

Asymp. Sig. (2-sided) .107 .170

1

.067

df

26

a. 4 cells (66.7%) have expected count less than 5. The minimum expected count is .62.

NPar Tests

Two-Sample Kolmogorov-Smirnov Test Frequencies GCS

Outcome Mati Hidup Total

N 22 4 26

Total 14 14.0 53.8% 53.8% 8 8.0 30.8% 30.8% 4 4.0 15.4% 15.4% 26 26.0 100.0% 100.0%

82

Test Statisticsa Most Extreme Differences

GCS .409 .409 .000 .753 .623

Absolute Positive Negative

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed) a. Grouping Variable: Outcome

Deep Vein Thrombosis * Outcome Crosstab

Deep Vein Thrombosis

Ya

Tidak

Total



Total 1 1.0 3.8% 3.8% 25 25.0 96.2% 96.2% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .189b .000 .341

.182

df 1 1 1

1

Asymp. Sig. (2-sided) .664 1.000 .559



1.000

.846

.670

26


83

Risk Estimate 95% Confidence Interval Lower Upper


1.190

1.003

1.413

26

Antibiotik * Outcome Crosstab

Antibiotik

Ya

Tidak

Total

Outcome Mati Hidup 21 3 20.3 3.7 95.5% 75.0% 80.8% 11.5% 1 1 1.7 .3 4.5% 25.0% 3.8% 3.8% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%


Total 24 24.0 92.3% 92.3% 2 2.0 7.7% 7.7% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value 1.994b .154 1.467

1.918

df 1 1 1

1

Asymp. Sig. (2-sided) .158 .695 .226



.289

.289

.166

26


84


Value Odds Ratio for Antibiotik (Ya / Tidak) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases

7.000

.340

144.056

1.750

.434

7.055

.250

.044

1.430

26

Kultur * Outcome Crosstab

Kultur

Ya

Tidak

Total


Outcome Mati Hidup 12 4 13.5 2.5 54.5% 100.0% 46.2% 15.4% 10 0 8.5 1.5 45.5% .0% 38.5% .0% 22 4 22.0 4.0 100.0% 100.0% 84.6% 15.4%

Total 16 16.0 61.5% 61.5% 10 10.0 38.5% 38.5% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value 2.955b 1.346 4.330

2.841

df 1 1 1

1

Asymp. Sig. (2-sided) .086 .246 .037



.136

.122

.092

26


85



.750

.565

.995

26

Lama Pemakaian Ventilator Mekanik * Outcome Crosstab


> 24 jam

<= 24 jam

Total



Total 16 16.0 61.5% 61.5% 10 10.0 38.5% 38.5% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .266b .000 .260

.256

df 1 1 1

1

Asymp. Sig. (2-sided) .606 1.000 .610



.625

.504

.613

26


86


Value Odds Ratio for Lama Pemakaian Ventilator Mekanik (> 24 jam / <= 24 jam) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases

1.750

.205

14.931

1.094

.762

1.569

.625

.104

3.757

26

Lama Perawatan * Outcome Crosstab

Lama Perawatan

> 7 hari

<= 7 hari

Total



Total 9 9.0 34.6% 34.6% 17 17.0 65.4% 65.4% 26 26.0 100.0% 100.0%

Chi-Square Tests


Value .494b .017 .475

.475

df 1 1 1

1

Asymp. Sig. (2-sided) .482 .895 .491



.591

.431

.491

26


87

Risk Estimate

Value Odds Ratio for Lama Perawatan (> 7 hari / <= 7 hari) For cohort Outcome = Mati For cohort Outcome = Hidup N of Valid Cases


.467

.054

4.029

.881

.597

1.302

1.889

.317

11.265

26

88

Logistic Regression Variables in the Equation

Step a 1

Step a 2

Step a 3

Step a 4

Usia Dx_stroke Hipertensi DM Jantung Gagal_nafas Demam Pneumonia ISK Edema GCS DVT Antibiotik Constant Usia Dx_stroke DM Jantung Gagal_nafas Demam Pneumonia ISK Edema GCS DVT Antibiotik Constant Usia Dx_stroke DM Jantung Gagal_nafas Demam Pneumonia ISK Edema GCS Antibiotik Constant Usia Dx_stroke DM Jantung Gagal_nafas Demam Pneumonia ISK Edema GCS Constant

B -2.777 -2.240 .022 -.121 -3.680 1.581 4.109 -2.324 18.718 13.791 1.156 11.489 .100 -82.415 -2.766 -2.236 -.114 -3.669 1.575 4.103 -2.311 18.727 13.804 1.163 11.493 .086 -82.492 -2.767 -2.236 -.114 -3.669 1.576 4.104 -2.311 18.729 13.802 1.163 .086 -59.506 -2.771 -2.230 -.119 -3.719 1.587 4.118 -2.309 18.729 13.776 1.173 -59.331

S.E. 3.603 2.008 3.020 2.533 4.782 2.195 3.868 2.601 27787.441 40192.984 1.798 40192.985 4.465 126540.0 3.260 1.949 2.336 4.476 2.050 3.746 1.820 27923.769 40192.974 1.489 40192.974 3.967 126660.0 3.259 1.949 2.336 4.476 2.049 3.744 1.820 27960.454 40192.934 1.489 3.967 97923.614 3.258 1.927 2.327 3.824 1.985 3.684 1.818 27940.276 40192.953 1.413 97900.618

Wald .594 1.243 .000 .002 .592 .518 1.128 .798 .000 .000 .413 .000 .001 .000 .720 1.316 .002 .672 .590 1.200 1.611 .000 .000 .610 .000 .000 .000 .721 1.316 .002 .672 .591 1.201 1.612 .000 .000 .610 .000 .000 .723 1.340 .003 .946 .639 1.250 1.612 .000 .000 .690 .000

df 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Sig. .441 .265 .994 .962 .442 .472 .288 .372 .999 1.000 .521 1.000 .982 .999 .396 .251 .961 .412 .442 .273 .204 .999 1.000 .435 1.000 .983 .999 .396 .251 .961 .412 .442 .273 .204 .999 1.000 .435 .983 1.000 .395 .247 .959 .331 .424 .264 .204 .999 1.000 .406 1.000

Exp(B) .062 .107 1.022 .886 .025 4.859 60.909 .098 1E+008 976015.7 3.176 97629.045 1.106 .000 .063 .107 .892 .026 4.831 60.493 .099 1E+008 988486.5 3.199 98052.743 1.090 .000 .063 .107 .892 .025 4.833 60.557 .099 1E+008 986895.5 3.200 1.089 .000 .063 .108 .888 .024 4.888 61.466 .099 1E+008 961620.0 3.232 .000

95.0% C.I.for EXP(B) Lower Upper .000 72.527 .002 5.457 .003 380.258 .006 126.998 .000 296.720 .066 359.173 .031 119526.1 .001 16.020 .000 . .000 . .094 107.798 .000 . .000 6989.097 .000 .002 .009 .000 .087 .039 .003 .000 .000 .173 .000 .000

37.438 4.877 86.909 164.804 268.459 93316.549 3.516 . . 59.251 . 2592.891

.000 .002 .009 .000 .087 .039 .003 .000 .000 .173 .000

37.355 4.874 86.931 164.566 268.378 93184.722 3.513 . . 59.262 2595.411

.000 .002 .009 .000 .100 .045 .003 .000 .000 .203

37.176 4.693 84.886 43.663 238.953 84013.473 3.507 . . 51.517

a. Variable(s) entered on step 1: Usia, Dx_stroke, Hipertensi, DM, Jantung, Gagal_nafas, Demam, Pneumonia, ISK, Edema, GCS, DVT, Antibiotik.

89

Variables in the Equation

Step a 5

Step a 6

Step a 7

Step a 8

Step a 9

Step a 10

Step a 11

Step a 12 Step a 13

Usia Dx_stroke DM Jantung Gagal_nafas Demam Pneumonia ISK GCS Constant Usia Dx_stroke Jantung Gagal_nafas Demam Pneumonia ISK GCS Constant Usia Dx_stroke Jantung Gagal_nafas Demam Pneumonia GCS Constant Dx_stroke Jantung Gagal_nafas Demam Pneumonia GCS Constant Dx_stroke Jantung Demam Pneumonia GCS Constant Dx_stroke Jantung Demam GCS Constant Dx_stroke Demam GCS Constant Demam GCS Constant GCS Constant

B -2.777 -2.232 -.121 -3.725 1.590 4.127 -2.310 18.729 1.175 -31.771 -2.790 -2.265 -3.680 1.549 4.168 -2.323 18.682 1.129 -31.792 -2.931 -2.439 -4.020 1.773 4.385 -2.372 1.184 5.879 -2.610 -3.618 2.188 2.339 -2.420 1.453 2.520 -2.302 -2.016 1.945 -1.224 1.294 1.735 -1.755 -1.779 1.947 1.423 -1.466 -1.532 1.877 1.511 -5.207 1.320 1.352 -6.364 1.304 -4.130

S.E. 3.254 1.926 2.328 3.825 1.983 3.677 1.818 27960.380 1.412 55920.760 3.269 1.835 3.681 1.805 3.627 1.803 27980.981 1.081 55961.964 3.611 1.848 3.828 1.816 3.992 1.845 1.115 9.240 1.847 3.244 1.863 1.757 1.993 1.150 7.501 1.716 2.119 1.554 1.657 .971 6.424 1.460 1.940 1.520 .908 4.515 1.384 1.504 .909 3.317 1.330 .820 3.087 .766 1.701

Wald .728 1.342 .003 .949 .643 1.260 1.614 .000 .692 .000 .729 1.523 .999 .736 1.321 1.659 .000 1.090 .000 .659 1.741 1.103 .954 1.207 1.652 1.128 .405 1.996 1.244 1.380 1.771 1.475 1.597 .113 1.798 .906 1.567 .546 1.776 .073 1.444 .841 1.641 2.457 .105 1.226 1.557 2.765 2.463 .985 2.719 4.251 2.902 5.894

df 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Sig. .393 .247 .959 .330 .423 .262 .204 .999 .405 1.000 .393 .217 .318 .391 .250 .198 .999 .297 1.000 .417 .187 .294 .329 .272 .199 .288 .525 .158 .265 .240 .183 .225 .206 .737 .180 .341 .211 .460 .183 .787 .229 .359 .200 .117 .745 .268 .212 .096 .117 .321 .099 .039 .088 .015

Exp(B) .062 .107 .886 .024 4.903 61.985 .099 1E+008 3.239 .000 .061 .104 .025 4.707 64.611 .098 1E+008 3.092 .000 .053 .087 .018 5.891 80.270 .093 3.268 357.502 .074 .027 8.920 10.371 .089 4.276 12.430 .100 .133 6.992 .294 3.647 5.670 .173 .169 7.008 4.150 .231 .216 6.536 4.531 .005 3.743 3.864 .002 3.684 .016

95.0% C.I.for EXP(B) Lower Upper .000 36.617 .002 4.682 .009 84.955 .000 43.436 .101 238.988 .046 83590.360 .003 3.502 .000 . .203 51.588 .000 .003 .000 .137 .053 .003 .000 .371

37.236 3.787 34.324 162.001 79055.665 3.361 . 25.741

.000 .002 .000 .168 .032 .003 .367

63.236 3.268 32.543 206.840 200629.9 3.474 29.082

.002 .000 .232 .331 .002 .449

2.747 15.478 343.467 324.944 4.416 40.729

.003 .002 .333 .011 .544

2.893 8.467 146.888 7.561 24.453

.010 .004 .356 .700

3.025 7.565 137.860 24.589

.014 .343 .763

3.255 124.706 26.896

.276 .775

50.746 19.267

.822

16.520

a. Variable(s) entered on step 1: Usia, Dx_stroke, Hipertensi, DM, Jantung, Gagal_nafas, Demam, Pneumonia, ISK, Edema, GCS, DVT, Antibiotik.

90

Lampiran 5. Biodata Mahasiswa

Identitas Nama

: Mellisa Hidayah

NIM

: 22010111110113

Tempat/tanggal lahir : Samarinda/5 Oktober 1992 Jenis kelamin

: Perempuan

Alamat

: Prima Selatan No. E8/E Perum. Graha Estetika Tembalang Semarang

Nomor Telpon

: 02476917132

Nomor HP

: 085250335288

E-mail

: [email protected]

Riwayat Pendidikan Formal 1. TK

: TK Alkautsar Samarinda

2. SD

: SD Muhammadiyah 1 Samarinda

Lulus tahun : 2004

3. SMP

: SMP Negeri 1 Samarinda

Lulus tahun : 2007

4. SMA

: SMA Negeri 1 Samarinda

Pindah tahun: 2009

MA Al-Hamidiyah Depok

Lulus tahun : 2011

5. FK UNDIP

: Masuk tahun : 2011

DAFTAR PUSTAKA. [internet]. Jakarta; Salemba Medika. 2009: 56. [cited 2015 Jan 20. Available from:

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