daftar pustaka - core11. prayogo bw. hubungan antara faktor risiko sepsis dengan kejadian sepsis...

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53 DAFTAR PUSTAKA 1. National health service United Kingdom. Sepsis [Internet]. [cited 2013 des 3]. Available from: http://www.nhs.uk/Conditions/blood- poisoning/Pages/introduction.aspx 2. Ayudiatama SC. Uji diagnostik prokalsitonin dibanding kultur darah sebagai baku emas untuk diagnostis sepsis di RSUP dr. Kariadi. Semarang: Fakultas kedokteran Universitas Diponegoro; 2011. 3. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et al. Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock. 2012. 4. Martin GS. Sepsis, severe sepsis and septic shock: changes in incidence, pathogens and outcomes. Expert review of anti-infective therapy [Internet]. 2012 [cited 2013 dec 8]; 10(6):701-6. Available from: National center for biotechnology information 5. Vincent JL, Sakr Y, Sprung CL, et al. Sepsis in European intensive care units: results of the SOAP study. Crit. Care Med. 2006;34(2):344-53. 6. Danai P, Martin GS. Epidemiology of sepsis: recent advances. Curr. Infect. Dis. Rep. 2005;7(5):329-34.

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Page 1: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

53

DAFTAR PUSTAKA

1. National health service United Kingdom. Sepsis [Internet]. [cited 2013 des

3]. Available from: http://www.nhs.uk/Conditions/blood-

poisoning/Pages/introduction.aspx

2. Ayudiatama SC. Uji diagnostik prokalsitonin dibanding kultur darah

sebagai baku emas untuk diagnostis sepsis di RSUP dr. Kariadi.

Semarang: Fakultas kedokteran Universitas Diponegoro; 2011.

3. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et

al. Surviving Sepsis Campaign: International Guidelines for Management

of Severe Sepsis and Septic Shock. 2012.

4. Martin GS. Sepsis, severe sepsis and septic shock: changes in incidence,

pathogens and outcomes. Expert review of anti-infective therapy

[Internet]. 2012 [cited 2013 dec 8]; 10(6):701-6. Available from: National

center for biotechnology information

5. Vincent JL, Sakr Y, Sprung CL, et al. Sepsis in European intensive care

units: results of the SOAP study. Crit. Care Med. 2006;34(2):344-53.

6. Danai P, Martin GS. Epidemiology of sepsis: recent advances. Curr.

Infect. Dis. Rep. 2005;7(5):329-34.

Page 2: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

54

7. Global sepsis alliance. Sepsis facts [internet].[updated 2013; cited 2013

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day.org/?MET=SHOWCONTAINER&vPRIMNAVISELECT=3&vSEKN

AVISELECT=1&vCONTAINERID=

8. Phua J, Koh YS, Du B, Tang YQ, Divatia JV, Gomersall CD, et al.

Management of severe sepsis in patients admitted to Asian intensive care

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internal medicine Dr. Sardjito Hospital, Yogyakarta September-November

2008. M.Sc Thesis, Faculty of Pharmacy, Universitas Gadjah Mada,

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international symposium on intensive care and emergency medicine for

Latin America: Factors related to the mortality of patients with severe

sepsis and septic shock. Crit. Care Med [internet]. 2009 [cited 2013 Dec

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11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis

berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010

[updated 2012 Apr 17; cited 2013 Dec 10]. Available from:

http://rsudrsoetomo.jatimprov.go.id/id/index.php?option=com_content&vi

ew=article&id=554:hubungan-antara-faktor-risiko-sepsis-dengan-

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ginekologi&catid=57:abstrak-penelitian&Itemid=76

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dysfunction: a leading risk factor for hospital mortality in patients with

severe sepsis or septic shock. 28th

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USA: Saunders Elsevier; 2009. p. 644-9

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Binarupa Aksara Publisher; 2012

16. Melamed A, Sorvillo FJ. The burden of sepsis-associated mortality in the

United States from 1999 to 2005: an analysis of multiple-cause-of-death

data. Crit Care 2009, 13:R28

17. National health service United Kingdom. Sepsis [Internet]. [cited 2014 feb

7]. Available from: http://www.nhs.uk/Conditions/Blood-

poisoning/Pages/Causes.aspx

18. LaRosa SP. Cleveland Clinic disease management project: Sepsis.

[internet]. [updated 2013; cited 2014 Feb 7]. Available from:

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http://www.clevelandclinicmeded.com/medicalpubs/diseasemanagement/i

nfectious-disease/sepsis/

19. Burdette SD. Systemic inflammatory response syndrome [Internet].

[updated 2014; cited 2014 Feb 7]. Available from: Medscape

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role of infection and comorbidity: Factors that influence disparities in

sepsis. Crit Care Med 2006, 34:2576-82

21. James MT. Sepsis risk increased in chronic kidney disease without dialysis

and treatment. Arch Intern Med. 2008;168:2333-39. Available from:

http://www.medscape.org/viewarticle/584134

22. Hubacek JA, Strüber F, Fröhlich D, Book M, Wetegrove S, Ritter M,

Rothe G, Schmitz G. Gene variants of the bactericidal/permeability

increasing protein and lipopolysacchraride binding protein in sepsis

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2001, 29:557-61

23. Klein NC, Go CH, Cunha BA. Infections associated with steroid use.

Infect Dis Clin North Am. 2001 Jun;15(2):423-32

24. Poll TVD. Immunotherapy of sepsis. The Lancet Infectious Diseases. 2001

Oct;1(3):165-74

25. National health service United Kingdom. Chemotherapy [Internet]. [cited

2014 feb 18]. Available from:

http://www.nhs.uk/conditions/chemotherapy/Pages/Definition.aspx

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26. Centers for Disease Control and Prevention. Preventing infections in

cancer patients [internet]. [cited 2014 Feb 18]. Available from:

http://www.cdc.gov/cancer/preventinfections/

27. Penack O, Buchheidt D, Christopeit M, et al. Management of sepsis in

neutropenic patients: guidelines from the infectious diseases working party

of the German Society of Hematology and Oncology. Ann Oncol. 2010.

Available from : Oxford Journals

28. Henry W, Russell G, Suzanne J, et al. Obesity and risk of sepsis. Society

of Critical Care Medicine and Lippincott Williams & Wilkins. 2012.

Available from:

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and_Risk_of_Sepsis.697.aspx

29. Kuperman EF, Showalter JW, Lehman EB, et al. The impact of obesity on

sepsis mortality: a retrospective review. BMC Infectious Diseases. 2013.

13:377. Available from: http://www.biomedcentral.com/1471-2334/13/377

30. Prayogo et al. : Hubungan antara Faktor Risiko Sepsis Obstetri dengan

Kejadian Sepsis Berat dan Syok Sepsis. Journal Unair [internet]. 2011

[cited 2014 Feb]; 19(3). Available from:

http://journal.unair.ac.id/filerPDF/1109%20Budhy%20%28P%29%20-

%20Format%20MOG.pdf

31. Garna HH. Buku ajar divisi infeksi dan penyakit tropis Universitas

Padjajaran. Jakarta: Sagung Seto. 2012

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32. Leksana E. SIRS, sepsis, keseimbangan asam-basa, shock, dan terapi

cairan. Semarang: SMF/Bagian Anestesi dan Terapi Intensif RSUP Dr.

Kariadi/Fak. Kedokteran Universitas Diponegoro. 2006

33. Girard TD, Opal SM, Ely EW. Oxford Journals: Insights into Severe

Sepsis in Older Patients: From Epidemiology to Evidence-Based

Management. Clin Infect Dis. (2005) 40 (5): 719-727. doi:

10.1086/427876

34. Angele MK, Frantz MC, Chaudry IH. Gender and sex hormones influence

the response to trauma and sepsis – potential therapeutic approaches.

Clinics vol.61 no.5 São Paulo Oct. 2006. Available from:

http://www.scielo.br/scielo.php?pid=s1807-

59322006000500017&script=sci_arttext&tlng=en

35. Koh GCKW, Peacock SJ, Poll TVD, Wiersinga WJ. The impact of

diabetes on the pathogenesis of sepsis. Eur J Clin Microbiol Infect Dis.

Apr 2012; 31(4): 379–388. Available from:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303037/

36. Annane D. Corticosteroids for severe sepsis: an evidence-based guide for

physicians. Ann Intensive Care. 2011; 1: 7. Available from:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224490/

37. Nicholson JP, Wolmarans MR, Park GR. The role of albumin in critical

illness. Br. J. Anaesth. (2000) 85 (4): 599-610. Available from:

http://bja.oxfordjournals.org/content/85/4/599.full

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59

38. A Train Education. Sepsis: Immune System Meltdown. [internet]. [cited

2014 July 11]. Available from: https://www.atrainceu.com/course-

module/1884979-107_sepsis-module-05

39. Marik PE. Surviving sepsis: going beyond the guidelines. Annals of

Intensive Care 2011, 1:17. Available from:

http://www.annalsofintensivecare.com/content/1/1/17#

Page 8: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

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Lampiran1. Ethical Clerance

Page 9: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

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Lampiran 2. Permohonan ijin penelitian dan pengambilan data rekam medik

Page 10: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

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Lampiran 3. Surat ijin melaksanakan penelitian

Page 11: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

63

Lampiran 4. Data penelitian pasien sepsis

No No CM UmurTinggi

badan

Berat

Badan

jenis

kelamin

ICU/

Bangsal

Riw.

PGK

Riw

DM

Riw

HIV

Riw

alkoh

ol

Riw

kortiko

steroid

Riw

kemote

rapi

tanggal

masuk

Tanggal

keluarAlbumin Hemoglobin

1 C173722 33 (-) (-) P ICU (-) (-) (-) (-) (-) (-) 15-08-09 21-08-09 1,9 10,8

2 C190642 45 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 30-11-09 07-12-09 2,2 9,5

3 B442959 77 (-) 60 L ICU Ya (-) (-) (-) (-) (-) 14-06-09 18-06-09 1,6 9

4 C181409 32 (-) (-) L ICU (-) Ya (-) (-) (-) (-) 06-10-09 06-10-09 2,9 17,10

5 C173517 31 (-) (-) P ICU (-) (-) (-) (-) (-) (-) 14-08-09 18-08-09 1,7 6,10

6 C158526 54 160 60 L ICU (-) Ya (-) (-) (-) (-) 19-05-09 12-06-09 1,3 4,4

7 B400422 56 (-) (-) P ICU (-) Ya (-) (-) (-) (-) 15-08-09 18-08-09 2,9 11,6

8 C115573 69 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 31-12-09 08-01-09 2,2 11,7

9 C167593 61 (-) (-) L bangsal Ya (-) (-) (-) (-) (-) 12-07-09 22-07-09 2,4 9,10

10 C143661 67 (-) (-) P bangsal (-) (-) (-) (-) Ya (-) 23-02-09 18-03-09 2,2 8,2

11 C161168 24 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 04-06-09 05-06-09 1,3 5,8

12 B291065 38 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 04-01-09 11-01-09 1,9 10

13 C141020 60 167 65 L bangsal Ya (-) (-) (-) (-) (-) 07-02-09 14-02-09 2,4 10,8

14 C220154 22 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 09-05-10 24-05-10 1,9 7,9

15 C206947 45 (-) (-) L ICU (-) (-) (-) Ya (-) (-) 02-03-10 03-03-10 3,1 12,8

16 B089007 58 (-) (-) L ICU (-) Ya (-) (-) (-) (-) 04-04-10 04-05-10 2,7 8,8

17 C195880 62 (-) (-) L ICU Ya Ya (-) (-) (-) (-) 09-01-10 20-01-10 2,4 12,6

18 C224809 22 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 03-08-10 03-08-10 2 9,2

19 C198033 35 (-) (-) L bangsal (-) (-) (-) (-) Ya (-) 11-01-10 14-01-10 1,8 10,8

20 C204355 44 (-) (-) P bangsal Ya (-) (-) (-) (-) (-) 15-02-10 21-02-10 2,5 12,1

21 C241942 81 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 17-09-10 21-09-10 2 11,3

22 C232647 64 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 12-07-10 16-08-10 1,7 9

23 C250622 77 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 14-10-10 19-10-10 2,2 7,4

24 C259107 50 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 26-11-10 28-11-10 2,5 11,4

25 B319267 75 140 35 P bangsal (-) (-) (-) (-) (-) (-) 08-07-10 11-07-10 2,6 12,3

26 C322007 54 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 09-11-11 20-11-11 3,3 13

27 C317066 42 (-) (-) L ICU Ya (-) (-) (-) (-) (-) 12-10-11 12-10-11 3 15,7

28 C318646 47 165 60 L ICU (-) Ya (-) (-) (-) (-) 20-10-11 23-10-11 3,2 11

Page 12: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

64

29 C313416 17 (-) (-) P ICU (-) Ya (-) (-) (-) (-) 21-09-11 24-09-11 4,5 12

30 C286291 61 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 10-04-11 18-04-11 3 11,9

31 C316811 58 (-) (-) L bangsal (-) Ya (-) (-) (-) (-) 11-10-11 13-10-11 1,9 13,5

32 C303360 43 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 18-07-11 19-07-11 2 12,3

33 C319259 44 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 24-10-11 28-10-11 1,5 5,90

34 C306547 26 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 06-08-11 08-08-11 2,4 8

35 C311522 36 (-) (-) L bangsal (-) Ya (-) (-) (-) (-) 10-09-11 11-09-11 2,3 5,8

36 C311385 67 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 09-09-11 10-09-11 2 11,4

37 C229213 17 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 04-02-11 11-02-11 1,9 6,9

38 C332116 24 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 11-01-12 24-01-12 2,8 9,1

39 C341649 56 168 70 L ICU Ya (-) (-) (-) (-) (-) 29-02-12 02-03-12 1,6 11,53

40 C201649 53 (-) (-) L ICU (-) Ya (-) (-) (-) (-) 20-06-12 22-06-12 2,8 16,33

41 C204505 63 (-) (-) L ICU (-) Ya (-) (-) (-) (-) 22-01-12 23-01-12 2 10,6

42 C359354 68 (-) (-) P ICU Ya (-) (-) (-) (-) (-) 10-06-12 05-07-12 2,5 11,1

43 C378562 30 (-) (-) L ICU Ya (-) (-) (-) (-) (-) 01-10-12 04-10-12 3,4 9,3

44 C371506 62 170 50 L bangsal (-) (-) (-) (-) (-) (-) 21-08-12 03-09-12 3,1 10,8

45 C354079 69 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 03-07-12 18-07-12 1,6 11,1

46 C349515 57 (-) (-) L bangsal (-) Ya (-) (-) (-) (-) 14-04-12 14-04-12 2,5 13,79

47 C349284 26 (-) (-) L bangsal Ya (-) (-) (-) (-) (-) 12-04-12 17-04-12 3,1 11,2

48 C319461 63 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 16-10-12 18-10-12 3,4 11,8

49 C383490 50 (-) (-) P bangsal Ya (-) (-) (-) (-) (-) 31-10-12 01-11-12 1,8 11,31

Page 13: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

65

Lampiran 4.Data penelitian pasien infeksi

No No CM UmurTinggi

badan

Berat

Badan

jenis

kelamin

ICU/

Bangsal

Riw.

PGK

Riw.

DM

Riw.

HIV

Riw.

alkoh

ol

Riw.

Kortik

ostero

id

Riw.

kemot

erapi

tanggal

masuk

Tanggal

keluarAlbumin

Hemog

lobin

1 A562849 81 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 23-09-09 01-10-09 2,9 13,6

2 B406637 81 (-) (-) P ICU (-) Ya (-) (-) (-) (-) 12-10-09 28-10-09 2,9 11,3

3 B013144 51 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 29-07-09 02-08-09 3,6 11,9

4 C143194 74 (-) (-) P ICU (-) (-) (-) (-) (-) (-) 20-02-09 21-02-09 2,3 14,2

5 C091611 79 (-) (-) L ICU (-) (-) (-) (-) (-) (-) 24-08-09 29-08-09 2,3 10,1

6 B294823 54 (-) (-) L ICU (-) Ya (-) (-) (-) (-) 14-06-09 29-06-09 3,3 13,3

7 C172204 25 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 06-08-09 15-08-09 4,2 15,8

8 C194758 37 157 52 P bangsal (-) (-) Ya (-) (-) (-) 23-12-09 31-12-09 1,7 10,7

9 C189039 17 160 50 P bangsal (-) (-) (-) (-) (-) (-) 18-11-09 26-11-09 2,7 10,6

10 C185305 42 167 55 L bangsal (-) (-) (-) (-) (-) (-) 28-10-09 04-11-09 3,5 14,7

11 C191830 17 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 06-12-09 12-12-09 3,5 12,5

12 C193870 16 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 19-12-09 28-12-09 3,4 11,5

13 C258627 35 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 23-11-10 29-11-10 2,8 14

14 C206671 17 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 28-02-10 05-03-10 2,5 15,7

15 C224032 60 165 45 L bangsal (-) (-) (-) (-) (-) (-) 28-05-10 07-06-10 2,7 9,4

16 C201701 43 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 01-02-10 04-02-10 3,2 10,5

17 C212370 77 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 30-03-10 09-04-10 2,7 14,6

18 C212576 45 145 37 P bangsal (-) (-) (-) (-) (-) (-) 31-03-10 06-04-10 2,8 10,7

19 C228515 50 (-) (-) P bangsal (-) Ya (-) (-) (-) (-) 21-06-10 28-06-10 4 12,10

20 C242303 15 155 60 P bangsal (-) (-) (-) (-) (-) (-) 01-09-10 04-09-10 2,7 10,5

21 C362420 58 (-) (-) L bangsal (-) Ya (-) (-) (-) (-) 21-04-10 30-04-10 2,7 7,9

22 C224512 74 160 60 L bangsal (-) (-) (-) (-) (-) (-) 31-05-10 05-06-10 2,3 12,6

23 C243659 40 160 87 P bangsal (-) (-) (-) (-) (-) (-) 12-09-10 17-09-10 2,9 13

24 C205452 36 150 60 P bangsal (-) (-) (-) (-) (-) (-) 20-02-10 25-02-10 3,3 13,2

25 C203845 23 150 45 P bangsal (-) (-) (-) (-) (-) (-) 12-02-10 16-02-10 3,8 11,4

26 C286036 75 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 08-04-11 12-05-11 1,8 11

27 C327923 52 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 12-12-11 20-12-11 1,8 11,9

28 C309753 49 (-) (-) P bangsal (-) Ya (-) (-) (-) (-) 30-08-11 12-09-11 3 12

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66

29 C290354 55 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 02-05-11 04-05-11 3,1 9,8

30 C317601 51 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 14-10-11 18-10-11 2,1 11,6

31 B327067 72 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 26-11-11 30-11-11 3,7 14

32 C286355 40 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 11-04-11 25-04-11 2 7,40

33 C291331 71 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 06-05-11 11-05-11 2,7 12,9

34 B314238 45 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 27-01-11 07-02-11 3,3 11,8

35 C292003 21 155 50 P bangsal (-) (-) (-) (-) (-) (-) 10-05-11 18-05-11 3,6 12,5

36 C285568 65 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 06-04-11 14-04-11 2,3 10,7

37 C288246 29 (-) (-) L bangsal (-) Ya (-) (-) (-) (-) 19-04-11 25-04-11 3,5 13,6

38 C382459 33 (-) (-) P bangsal (-) (-) (-) (-) Ya (-) 10-11-12 27-11-12 2,4 12,6

39 C391905 18 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 19-12-12 28-12-12 4,1 13,2

40 C376031 47 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 17-09-12 06-10-12 2,9 10,9

41 C347373 18 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 09-12-12 14-12-12 3,9 17,10

42 C371406 28 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 20-08-12 25-08-12 2,6 9,76

43 C371377 32 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 20-08-12 25-08-12 3,2 13,6

44 C381427 15 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 17-10-12 24-10-12 3,1 13,4

45 C273358 66 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 11-04-12 17-04-12 2,8 9,4

46 C368848 41 170 60 L bangsal (-) (-) (-) (-) (-) (-) 02-08-12 07-08-12 3,3 12,6

47 C380429 31 (-) (-) P bangsal (-) (-) (-) (-) (-) (-) 12-10-12 19-10-12 4 13,1

48 C382010 50 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 21-10-12 27-10-12 3,2 13,6

49 C348286 22 (-) (-) L bangsal (-) (-) (-) (-) (-) (-) 09-04-12 11-04-12 4,2 13,84

Page 15: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

67

Lampiran 5. Hasil analisis SPSS

Umur

Descriptives

49,29 2,486

44,29

54,28

49,40

53,00

302,708

17,399

17

81

64

29

-,215 ,340

-,960 ,668

44,35 2,928

38,46

50,23

43,95

43,00

420,065

20,495

15

81

66

33

,245 ,340

-1,041 ,668

Mean

Lower Bound

Upper Bound

95% Conf idence

Interv al for Mean

5% Trimmed Mean

Median

Variance

Std. Dev iat ion

Minimum

Maximum

Range

Interquart ile Range

Skewness

Kurtosis

Mean

Lower Bound

Upper Bound

95% Conf idence

Interv al for Mean

5% Trimmed Mean

Median

Variance

Std. Dev iat ion

Minimum

Maximum

Range

Interquart ile Range

Skewness

Kurtosis

Kelompok

Sepsis

Inf eksi

Umur

Stat istic Std. Error

Tests of Normality

,099 49 ,200* ,962 49 ,117

,087 49 ,200* ,942 49 ,018

Kelompok

Sepsis

Inf eksi

Umur

Stat ist ic df Sig. Stat ist ic df Sig.

Kolmogorov -Smirnova

Shapiro-Wilk

This is a lower bound of the true signif icance.*.

Lillief ors Signif icance Correctiona.

Page 16: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

68

NPar Tests

Mann-Whitney Test

Ranks

49 53,55 2624,00

49 45,45 2227,00

98

Kelompok

Sepsis

Inf eksi

Total

Umur

N Mean Rank Sum of Ranks

Test Statisticsa

1002,000

2227,000

-1,411

,158

Mann-Whitney U

Wilcoxon W

Z

Asy mp. Sig. (2-tailed)

Umur

Grouping Variable: Kelompoka.

Page 17: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

69

Jenis kelamin * Kelompok

Crosstab

34 23 57

28,5 28,5 57,0

69,4% 46,9% 58,2%

34,7% 23,5% 58,2%

15 26 41

20,5 20,5 41,0

30,6% 53,1% 41,8%

15,3% 26,5% 41,8%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Laki-laki

Perempuan

Jenis kelamin

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

5,074b 1 ,024

4,193 1 ,041

5,124 1 ,024

,040 ,020

5,022 1 ,025

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

0 cells (,0%) hav e expected count less than 5. The minimum expected count is

20,50.

b.

Risk Estimate

2,562 1,121 5,858

1,630 1,033 2,573

,636 ,430 ,942

98

Odds Rat io f or Jenis

kelamin (Laki-laki /

Perempuan)

For cohort Kelompok

= Sepsis

For cohort Kelompok

= Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 18: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

70

ICU/Bangsal * Kelompok

Crosstab

23 6 29

14,5 14,5 29,0

46,9% 12,2% 29,6%

23,5% 6,1% 29,6%

26 43 69

34,5 34,5 69,0

53,1% 87,8% 70,4%

26,5% 43,9% 70,4%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

ICU

Bangsal

ICU/Bangsal

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

14,154b 1 ,000

12,538 1 ,000

14,865 1 ,000

,000 ,000

14,009 1 ,000

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

0 cells (,0%) hav e expected count less than 5. The minimum expected count is

14,50.

b.

Risk Estimate

6,340 2,282 17,615

2,105 1,475 3,004

,332 ,159 ,693

98

Odds Ratio f or

ICU/Bangsal (ICU /

Bangsal)

For cohort

Kelompok = Sepsis

For cohort

Kelompok = Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 19: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

71

GGK * Kelompok

Crosstab

11 0 11

5,5 5,5 11,0

22,4% ,0% 11,2%

11,2% ,0% 11,2%

38 49 87

43,5 43,5 87,0

77,6% 100,0% 88,8%

38,8% 50,0% 88,8%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Ya

Tidak

GGK

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

12,391b 1 ,000

10,240 1 ,001

16,644 1 ,000

,001 ,000

12,264 1 ,000

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

0 cells (,0%) hav e expected count less than 5. The minimum expected count is

5,50.

b.

Risk Estimate

2,289 1,803 2,906

98

For cohort

Kelompok = Sepsis

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 20: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

72

DM * Kelompok

Crosstab

12 6 18

9,0 9,0 18,0

24,5% 12,2% 18,4%

12,2% 6,1% 18,4%

37 43 80

40,0 40,0 80,0

75,5% 87,8% 81,6%

37,8% 43,9% 81,6%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Ya

Tidak

DM

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

2,450b 1 ,118

1,701 1 ,192

2,489 1 ,115

,191 ,096

2,425 1 ,119

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

0 cells (,0%) hav e expected count less than 5. The minimum expected count is

9,00.

b.

Risk Estimate

2,324 ,794 6,804

1,441 ,963 2,157

,620 ,313 1,229

98

Odds Ratio f or DM

(Ya / Tidak)

For cohort

Kelompok = Sepsis

For cohort

Kelompok = Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 21: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

73

HIV * Kelompok

Crosstab

0 1 1

,5 ,5 1,0

,0% 2,0% 1,0%

,0% 1,0% 1,0%

49 48 97

48,5 48,5 97,0

100,0% 98,0% 99,0%

50,0% 49,0% 99,0%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Ya

Tidak

HIV

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

1,010b 1 ,315

,000 1 1,000

1,397 1 ,237

1,000 ,500

1,000 1 ,317

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

2 cells (50,0%) hav e expected count less than 5. The minimum expected count is

,50.

b.

Risk Estimate

2,021 1,653 2,471

98

For cohort

Kelompok = Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 22: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

74

Alkohol * Kelompok

Crosstab

1 0 1

,5 ,5 1,0

2,0% ,0% 1,0%

1,0% ,0% 1,0%

48 49 97

48,5 48,5 97,0

98,0% 100,0% 99,0%

49,0% 50,0% 99,0%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Ya

Tidak

Alkohol

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

1,010b 1 ,315

,000 1 1,000

1,397 1 ,237

1,000 ,500

1,000 1 ,317

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

2 cells (50,0%) hav e expected count less than 5. The minimum expected count is

,50.

b.

Risk Estimate

2,021 1,653 2,471

98

For cohort

Kelompok = Sepsis

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 23: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

75

Kortikosteroid * Kelompok

Crosstab

2 1 3

1,5 1,5 3,0

4,1% 2,0% 3,1%

2,0% 1,0% 3,1%

47 48 95

47,5 47,5 95,0

95,9% 98,0% 96,9%

48,0% 49,0% 96,9%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Ya

Tidak

Kort ikosteroid

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

,344b 1 ,558

,000 1 1,000

,350 1 ,554

1,000 ,500

,340 1 ,560

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

2 cells (50,0%) hav e expected count less than 5. The minimum expected count is

1,50.

b.

Risk Estimate

2,043 ,179 23,292

1,348 ,590 3,077

,660 ,132 3,309

98

Odds Rat io for

Kort ikosteroid (Ya / Tidak)

For cohort Kelompok =

Sepsis

For cohort Kelompok =

Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 24: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

76

Kemoterapi * Kelompok

Crosstab

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

TidakKemoterapi

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

.a

98

Pearson Chi-Square

N of Valid Cases

Value

No statistics are computed

because Kemoterapi is a constant .

a.

Risk Estimate

.aOdds Rat io for

Kemoterapi (Tidak / .)

Value

No statistics are computed

because Kemoterapi is a constant .

a.

Page 25: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

77

Albumin * Kelompok

Crosstab

45 35 80

40,0 40,0 80,0

91,8% 71,4% 81,6%

45,9% 35,7% 81,6%

4 14 18

9,0 9,0 18,0

8,2% 28,6% 18,4%

4,1% 14,3% 18,4%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Tidak normal

Normal

Albumin

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

6,806b 1 ,009

5,513 1 ,019

7,137 1 ,008

,017 ,009

6,736 1 ,009

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

0 cells (,0%) hav e expected count less than 5. The minimum expected count is

9,00.

b.

Risk Estimate

4,500 1,361 14,878

2,531 1,044 6,137

,563 ,396 ,798

98

Odds Rat io f or Albumin

(Tidak normal / Normal)

For cohort Kelompok =

Sepsis

For cohort Kelompok =

Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 26: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

78

Hemoglobin * Kelompok

Crosstab

40 25 65

32,5 32,5 65,0

81,6% 51,0% 66,3%

40,8% 25,5% 66,3%

9 24 33

16,5 16,5 33,0

18,4% 49,0% 33,7%

9,2% 24,5% 33,7%

49 49 98

49,0 49,0 98,0

100,0% 100,0% 100,0%

50,0% 50,0% 100,0%

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Count

Expected Count

% within Kelompok

% of Total

Tidak normal

Normal

Hemoglobin

Total

Sepsis Inf eksi

Kelompok

Total

Chi-Square Tests

10,280b 1 ,001

8,955 1 ,003

10,568 1 ,001

,002 ,001

10,175 1 ,001

98

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear

Association

N of Valid Cases

Value df

Asy mp. Sig.

(2-sided)

Exact Sig.

(2-sided)

Exact Sig.

(1-sided)

Computed only f or a 2x2 tablea.

0 cells (,0%) hav e expected count less than 5. The minimum expected count is

16,50.

b.

Risk Estimate

4,267 1,709 10,649

2,256 1,252 4,068

,529 ,365 ,767

98

Odds Ratio f or

Hemoglobin (Tidak

normal / Normal)

For cohort

Kelompok = Sepsis

For cohort

Kelompok = Inf eksi

N of Valid Cases

Value Lower Upper

95% Conf idence

Interv al

Page 27: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

79

Logistic Regression

Block 0: Beginning Block

Dependent Variable Encoding

0

1

Original Value

Sepsis

Inf eksi

Internal Value

Classification Tablea,b

0 49 ,0

0 49 100,0

50,0

Observed

Sepsis

Inf eksi

Kelompok

Overall Percentage

Step 0

Sepsis Inf eksi

Kelompok Percentage

Correct

Predicted

Constant is included in the model.a.

The cut v alue is ,500b.

Variables in the Equation

,000 ,202 ,000 1 1,000 1,000ConstantStep 0

B S.E. Wald df Sig. Exp(B)

Variables not in the Equation

5,074 1 ,024

14,154 1 ,000

2,450 1 ,118

6,806 1 ,009

10,280 1 ,001

27,004 5 ,000

sex

ICU_Bangsal

DM

Albumin

Hemoglobin

Variables

Overall Stat istics

Step

0

Score df Sig.

Page 28: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

80

Block 1: Method = Backward Stepwise (Likelihood Ratio)

Omnibus Tests of Model Coefficients

30,836 5 ,000

30,836 5 ,000

30,836 5 ,000

-1,095 1 ,295

29,741 4 ,000

29,741 4 ,000

-2,104 1 ,147

27,636 3 ,000

27,636 3 ,000

-2,678 1 ,102

24,958 2 ,000

24,958 2 ,000

Step

Block

Model

Step

Block

Model

Step

Block

Model

Step

Block

Model

Step 1

Step 2a

Step 3a

Step 4a

Chi-square df Sig.

A negat iv e Chi-squares v alue indicates that the

Chi-squares value has decreased f rom the

prev ious step.

a.

Model Summary

105,021a ,270 ,360

106,116a ,262 ,349

108,221a ,246 ,328

110,899a ,225 ,300

Step

1

2

3

4

-2 Log

likelihood

Cox & Snell

R Square

Nagelkerke

R Square

Estimation terminated at iteration number 5 because

parameter est imates changed by less than ,001.

a.

Page 29: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

81

Classification Tablea

35 14 71,4

13 36 73,5

72,4

35 14 71,4

14 35 71,4

71,4

42 7 85,7

25 24 49,0

67,3

23 26 46,9

6 43 87,8

67,3

Observed

Sepsis

Inf eksi

Kelompok

Overall Percentage

Sepsis

Inf eksi

Kelompok

Overall Percentage

Sepsis

Inf eksi

Kelompok

Overall Percentage

Sepsis

Inf eksi

Kelompok

Overall Percentage

Step 1

Step 2

Step 3

Step 4

Sepsis Inf eksi

Kelompok Percentage

Correct

Predicted

The cut v alue is ,500a.

Variables in the Equation

,654 ,489 1,788 1 ,181 1,923 ,737 5,016

1,562 ,588 7,057 1 ,008 4,771 1,506 15,109

,764 ,741 1,061 1 ,303 2,146 ,502 9,172

1,077 ,699 2,373 1 ,123 2,936 ,746 11,556

1,536 ,573 7,181 1 ,007 4,644 1,511 14,277

-8,303 2,109 15,501 1 ,000 ,000

,701 ,485 2,089 1 ,148 2,016 ,779 5,215

1,719 ,573 9,015 1 ,003 5,581 1,817 17,146

1,091 ,705 2,392 1 ,122 2,977 ,747 11,866

1,377 ,539 6,521 1 ,011 3,963 1,377 11,400

-7,047 1,602 19,351 1 ,000 ,001

1,875 ,562 11,143 1 ,001 6,519 2,168 19,600

1,095 ,696 2,477 1 ,116 2,988 ,764 11,683

1,387 ,531 6,809 1 ,009 4,001 1,412 11,337

-6,337 1,503 17,780 1 ,000 ,002

1,935 ,559 11,969 1 ,001 6,922 2,313 20,714

1,549 ,516 8,993 1 ,003 4,705 1,710 12,948

-5,392 1,316 16,790 1 ,000 ,005

sex

ICU_Bangsal

DM

Albumin

Hemoglobin

Constant

Step

1a

sex

ICU_Bangsal

Albumin

Hemoglobin

Constant

Step

2a

ICU_Bangsal

Albumin

Hemoglobin

Constant

Step

3a

ICU_Bangsal

Hemoglobin

Constant

Step

4a

B S.E. Wald df Sig. Exp(B) Lower Upper

95,0% C.I. for EXP(B)

Variable(s) entered on step 1: sex, ICU_Bangsal, DM, Albumin, Hemoglobin.a.

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Model if Term Removed

-53,409 1,797 1 ,180

-56,437 7,853 1 ,005

-53,058 1,095 1 ,295

-53,787 2,554 1 ,110

-56,512 8,002 1 ,005

-54,110 2,104 1 ,147

-58,240 10,365 1 ,001

-54,351 2,585 1 ,108

-56,576 7,036 1 ,008

-60,734 13,247 1 ,000

-55,450 2,678 1 ,102

-57,803 7,385 1 ,007

-62,645 14,390 1 ,000

-60,496 10,093 1 ,001

Variable

sex

ICU_Bangsal

DM

Albumin

Hemoglobin

Step

1

sex

ICU_Bangsal

Albumin

Hemoglobin

Step

2

ICU_Bangsal

Albumin

Hemoglobin

Step

3

ICU_Bangsal

Hemoglobin

Step

4

Model Log

Likelihood

Change in

-2 Log

Likelihood df

Sig. of the

Change

Variables not in the Equation

1,082 1 ,298

1,082 1 ,298

2,119 1 ,145

1,393 1 ,238

3,188 2 ,203

2,207 1 ,137

1,412 1 ,235

2,604 1 ,107

5,744 3 ,125

DMVariables

Overall Statistics

Step 2a

sex

DM

Variables

Overall Statistics

Step 3b

sex

DM

Albumin

Variables

Overall Statistics

Step 4c

Score df Sig.

Variable(s) remov ed on step 2: DM.a.

Variable(s) remov ed on step 3: sex.b.

Variable(s) remov ed on step 4: Albumin.c.

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Tabel Sebaran Umur berdasarkan Sepsis dan Infeksi

Kelompok Mean SD Median (min – max) p‡

Sepsis 49,29 17,399 53 (17 – 81) 0,158

Infeksi 44,35 20,495 43 (15 – 81)

Keterangan : ‡ Mann Whitney Tabel Uji Chi Square berdasarkan Sepsi dan Infeksi

variabel Sepsis Infeksi

p OR CI 95%

n % n % Bawah Atas

Jenis kelamin

Laki-laki 34 69,4 23 46,9 0,024§ 2,562 1,121 5,858

Perempuan 15 30,6 26 53,1

ICU/Bangsal

ICU 23 46,9 6 12,2 0,000*§ 6,340 2,282 17,615

Bangsal 26 53,1 43 87,8

Riw. GGK

Ya 11 22,4 0 0 0,000*§ – – –

Tidak 38 77,6 49 100

Riw. DM

Ya 12 24,5 6 12,2 0,118§ 2,324 0,794 6,804

Tidak 37 75,5 43 87,8

Riw. HIV

Ya 0 0 1 2 1,000¤ – – –

Tidak 49 100 48 98

Riw. Alkohol

Ya 1 2 0 0 1,000¤ – – –

Tidak 48 98 49 100

Kortikosteroid

Ya 2 4,1 1 2 1,000¤ 2,043 0,179 23,292

Tidak 47 95,9 48 98

Kemoterapi

Ya 0 0 0 0 – – – –

Tidak 49 100 49 100

Albumin

Tidak normal 45 91,8 35 71,4 0,009*§ 4,500 1,361 14,878

Normal 4 8,2 14 28,6

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Hemoglobin

Tidak normal 40 81,6 25 51 0,001*§ 4,267 1,709 10,649

Normal 9 18,4 24 49

Keterangan :

* Signifikan p < 0,05

§ Pearson Chi-Square

¤ Fisher’s Exact

Tabel Regresi Logistik

Langkah Variabel p OR CI 95%

Bawah Atas

4 ICU/Bangsal 0,001* 6,922 2,313 20,714

Hemoglobin 0,003* 4,705 1,710 12,948

Keterangan :

* Signifikan p < 0,05

Dari tabel regresi logistik didapatkan pada langkah 4 variabel ICU/Bangsal dan

hemoglobin merupakan faktor yang berpengaruh terhadap kejadian Sepsis.

Page 33: DAFTAR PUSTAKA - CORE11. Prayogo BW. Hubungan antara faktor risiko sepsis dengan kejadian sepsis berat dan septik syok di dept/ SMF obstetri dan ginekologi [Internet]. 2010 [updated

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Lampiran 6. Biodata penulis

Nama : Yessica Putri H

NIM : 22010110120030

Tempat/tanggal lahir : 2 Agustus 1992

Jenis kelamin : Perempuan

Alamat : Jl. Katalia No. 65 komp : Cemara Asri, Medan

No Hp : 085325850807

Email : [email protected]

Riwayat Pendidikan Formal

1. SD : SD Sutomo 2 Lulus tahun : 2004

2. SMP : SMP Sutomo 2 Lulus tahun : 2007

3. SMA : SMA Sutomo 2 Lulus tahun : 2010

4. FK UNDIP :Masuk tahun : 2010