60
1.
Cuningham FG, Mac Donald PC, Gant NF, et al. Hypertensive Disorders in Pregnancy
William Obstetrics
. 20th ed. Conecticut : Appleton
& Lange; 1997.
2.
Simanjuntak JR. Evaluasi Kematian Maternal Penderita Preeklampsia Berat di RSUD
Dr. Pirngadi Medan Tahun 1993
–
1997. 1999.
3.
Miller DA. Hypertension in Pregnancy. Current di. (De Cherney AHL, N. Goodwin T,
eds.). New York: McGraw Hill. p.; 2007.
4.
Sofoewan S. Pregnancy Outcome of Women with Severe Preeclampsia With and
Without HELLP Syndrome. 2001.
5.
Depkes RI. Survei Kesehatan Rumah Tangga tahun 2001. In: Jakarta: Departement
Kesehatan RI; 2001.
6.
Sibai BM. The HELLP Syndrome (hemolysis, elevated liver enzymes and low trombosit
counts). In:
Much Ado About Nothing ?
. ; 1990:;162 : 311
-316.
7.
Siregar MF. Luaran Janin dan Ibu pada Penderita Preeklampsiaa di RSUD Dr. Pirngadi
Medan. 1997.
8.
Sarwono P WH.
Ilmu Kebidanan. Jakarta: PT Bina Pustaka Sarwono Prawirohardjo;
2010.
9.
Djamhoer Martaadisoebrata HW, Firman F. Wirakusumah, Dinan S. Bratakoesoema,
Sofie R. Krisnadi,Johanes C. Mose.
Obstetri Patologi. (Sulaiman Sastrawinata DM,
Firman F. Wirakusumah, ed.). Jakarta: Penerbit Buku Kedokteran EGC; 2004.
10.
Kaaja R, Laivuori H, Laakso, M, Tikkanen MJ YO.
Evidence of a State of Increased
Insulin Resistance in Preeclampsia.; 1999.
11.
William C. Mabie BMS.
Hypertensive States of Pregnancy. Current Ob. (MLP AHD,
ed.). Houston: Appleton & Lange; 1994.
13.
C.H. Backes KM, Pamela Moorehead, Leandro Cordero, C.A. Nankervis PJG. Maternal
Preeclampsia and Neonatal Outcomes. 2011.
14.
Konimusliha P, Dewantiningrum J HR. Hubungan antara Frekuensi Perawatan
Antenatal dengan Kejadian Preeklampsia Berat di RSUP Dr. Kariadi Tahun 2010. 2011.
15.
Granger JP, Alexander BT, Llinas MT, Bennett WA KR.
Pathophysiology of
Hypertension During Preeclampsia Linking Placental Ischemia with Endothelial
Dysfunction.Hypertension.; 2001.
16.
Duckitt K HD.
Risk Factors for Pre-Eclampsia at Antenatal Booking: Systematic
Review of Controlled Studies. BMJ; 2005.
17.
Sibai BM, Hauth J, Caritis S, Lindheimer MD, MacPherson C, Klebanoff M, et al.
Hypertensive disorders in twin versus singleton gestations.
Am J Obs Gynecol.
2000;;182::938-942.
18.
Chappell LC, Enve S, Seed P, Briley Pregnancy, Lucilla Poston, Shennan AH. Adverse
Perinatal Outcomes and Risk Factors for Preeclampsia in Women With Chronic
Hypertension: A Prospective Study. Hypertensi.; 2008.
19.
Dekker G, Robillard PY. The birth interval hypothesis-does it really indicate the end of
praternity hypothesis? J Reprod Immunol. 2003;;59::245-251.
20.
Conde-Agudelo A, Villar J LM. World health organization systematic review of
screening tests for preeclampsia. Obs Gynecol. 2004;;104::1367-1391.
21.
Lisonkova S, Joseph K. Incidence of Preeclampsia: Risk Factors and Outcomes
Associated with Early-Versus Late-Onset Disease.
Am J Obstet Gynecol.
2013:209(6):544. e1 - . e12.
22.
Dekker GA, Sibai BM. Etiology and Pathogenesis of Preeclampsia: Current Concepts.
Am J Obstet Gynecol. 1998:179(5):1359-1375.
24.
Indonesia KKR, ed. Buku Saku Pelayanan Kesehatan Ibu Di Fasilitas Kesehatan Dasar
Dan Rujukan. Jakarta; 2013.
25.
Wagner LK. Diagnosis and Management of Preeclampsia.
Am Fam Physician.
2004:;70(12):2317-2324.
26.
Hohllagschwandtner M, Todesca DB. HELLP (hemolysis, elevated liver enzymes and
low trombosit counts) Needs Help. AmJ Obs Gynecol. 1
991:; 164 : 1500
-1513.
27.
Lockwood CJ, Paidas MJ.
Preeclampsia and Hypertensive Disorders. In : Cohen WR.
Complication in Pregnancy
. 5th ed. Philadelphia : Lippicott Williams & Wilkins; 2000.
28.
Churchill D, Beevers DG. Hypetension in Pregnancy. London: BMJ Books; 1999.
29.
Arbogast BW, Taylor RN. Molecular Mechanism of Preeclampsia.
Springer-Verlag.
1996.
30.
Martin JN, Rinehart BK, May WL, et al. The Spectrum of Severe Preeclampsia :
Comparative Analysis by HELLP (hemolysis, elevated liver enzymes and low trombosit
counts) Syndrome Classification. AmJ Obs Gynecol
. 1999:; 180 : 1373
-1384.
31.
Arias F. Practical Guide to Highrisk Pregnancy and Delivary
. 2nd ed. St. Louis : Mosby
Year Book; 1999.
32.
Walker J.
Current Toughts on the Pathophysiology of Preeclampsia /Eclampsia.
Progress i. (Studd J, ed.). : Churchill Livingstone; 1999.
33.
Barton JR, Riely CA, Adamec TA, et al. Hepatic Hispatologic in Condition does not
Correlate with Laboratory Abnormalities in HELLP Syndrome (hemolysis, elevated
liver enzymes and low trombosit counts). AmJ Obs Gynecol
. 1992:; 167 : 1538
-1543.
34.
Oesterhof H, Voorhoeve P, Arnodudse JG. Enhancement of Hepatic Artery Resistence
to Blood Fflow in Preeclampia in ppresence or Absence of HELLP Syndrome. AmJ Obs
Gynecol.
1994:4; 171 : 526
-530.
Partial HELLP Syndrome. AUFOG Accredit Ultrasound Work. 2001.
37.
Martin JN, May WL, Magann EF, et al. Early risk assesment of severe preeclampsia:
admission baterry of symptom and laboratory test to predict likelihood of subsequent
significant maternal morbidity. AmJ Obs Gynecol
. 1999:; 180 : 1407
-1414.
38.
Dekker GA WJ.
Maternal Assesment in Pregnancy Induced Hypertensive Disorder :
Special Investigation and Their Pathophysiological Basis. London: Chapman&Hall;
1997.
39.
Sibai BM, Taslimi MM, El-Nazer A et al. Maternal and Perinatal Outcome Associated
with the Syndrome of hemolysis, elevated liver enzymes and low trombosit counts in
Severe Preeclampsia. AmJ Obs Gynecol. 1986:; 155
: 501-509.
40.
Martin JN, Blakes PG, Perry KG, et al. The Natural Hystory of HELLP Syndrome :
Patern of Disease Progression and Regression.
AmJ Obs Gynecol
. 1991:; 164 : 1500
-1513.
41.
Ghulmiyyah L, Sibai B, ed. Maternal Mortality from Preeclampsia/Eclampsia. In:
Seminars in Perinatology; 2012.
42.
Wahdi SA, Praptohardjo U. Kematian Maternal di RSUP Dr. Kariadi Semarang tahun
1996-1998. Maj Obstet dan Ginekol Indones POGI. 2000::65-70.
43.
Leveno KJ. Cunningham. In: Obstetri Williams. ; 2009.
44.
Duley L, ed. The Global Impact of Preeclampsia and Eclampsia. In: Seminars in
Perinatology; 2009.
45.
SARAH DYAANGGARI AKIP. LUARAN MATERNAL DAN PERINATAL PADA
IBU HAMIL DENGAN PREEKLAMPSIA BERAT (Analisis Perbedaan Faktor Risiko
dengan dan Tanpa Riwayat Preeklampsia). eprints.undip. 2015.
46.
Gandhi S, Sun D, Park AL. The Pulmonary Edema Preeclampsia Evaluation (PEPE)
Study. J Obs Gynaecol Can. 2014;;36(12)::1065-1070.
Diponegoro Univ. 2013.
48.
auf Altenstadt JFvS, Hukkelhoven CW, van Roosmalen J, Bloemenkamp KW.
Pre-Eclampsia Increases the Risk of Postpartum Haemorrhage. A Nationwide Cohort Study
Netherlands. 2013.
49.
Redman, Borzychowski A, Sargent I C, ed. Inflammation and Preeclampsia. In:
Seminars in Fetal and Neonatal Medicine; 2006.
50.
Sari LPA, Harahap M. Perbedaan Mortalitas antara Pasien Sepsis dan Sepsis Komplikasi
Disseminted Intravascular Coagulation di ICU RSUP Dr. Kariadi. Fac Med Diponegoro
Univ. 2013.
51.
Acosta CD, Knight M, Lee HC, Kurinczuk JJ, Gould JB, Lyndon A. The Continuum of
Maternal Sepsis Severity: Incidence and Risk Factors in a Population-Based Cohort
Study. PLoS One. 2013;;8(7)::e67175.
52.
Thachill J, Toh CH,. Disseminated intravascular coagulation in obstetric disorders and
its acute haematological management. Blood Reveiw. 2009:;167-176.
53.
Ngoc NTN, Merialdi M, Abdel-Aleem H, Carroli G, Purwar M, Zavaleta N, et al,, Ngoc
NTN, Merialdi M, Abdel-Aleem H, Carroli G, Purwar M, Zavaleta N, et al,. Causes of
Stillbirths and Early Neonatal Deaths: Data from 7993 Pregnancies in Six Developing
Countries. Causes Stillbirths Early Neonatal Deaths Data from 7993 Pregnancies Six
Dev Ctries. 2006:;84(9):699-705.
54.
Knight M. Eclampsia in the United kingdom 2005.
BJOG An Int J Obstet Gynaecol.
2007;;114(9)::1072-1078.
55.
Group TETC. Which Anticonvulsant for Women with Eclampsia? Evidence from the
Collaborative Eclampsia Trial. Lancet. 1995;;345(8963)::1455-1463.
56.
Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and Causes of Preterm
Birth. Lancet. 2008;;371(9606)::75-84.
58.
Wati LK. Hubungan antara Preeklampsia/Eklampsia dengan Kejadian Berat Badan
Lahir Rendah (BBLR) Di RSUD Dokter Soedarso Pontianak Tahun 2012. J Mhs PSPD
FK Univ Tanjungpura. 2013;;3(1).
59.
Carolan M, Frankowska D. Advanced Maternal Age and Adverse Perinatal Outcome: A
Revies of the Evidence. Midwifery. 2010:: 1-8.
60.
Giurgescu C, Sanguanklin N, Engeland CG, White-Traut RC, Park C, Mathews HL, et
al,. Relationships Among Psychosocial Factors, Biomarkers, Preeclampsia, and Preterm
Birth in African American Women: A pilot. Appl Nurs Res. 2014.
61.
Heinonen S SS. Reproductive Risk Factors of Fetal Asphyxia at Delivery: A Population
Based Analysis. J Clin Epidemiol. 2001;;54(4)::407-410.
62.
Kosim MS, Yunanto A, Dewi R, Sarosa G and Usman A,.
Buku Ajar Neonatologi.
Pertama. Jakarta: Ikatan Dokter Anak Indonesia; 2008.
63.
Prawirohardjo S. Ilmu Kandungan. Yayasan Bina Pustaka Jakarta; 2002.
64.
Constance Sinclair.
Buku Saku Kebidanan. Jakarta: Penerbit Buku Kedokteran EGC;
2003.
65.
Sibai BM, Ramadan MK, Usta I, Salama M, Mercer BM, Friedman SA. Maternal
morbidity and mortality in 442 pregnancies with hemolysis, elevated liver enzymes, and
low platelets (HELLP syndrome).
Am J Obstet Gynecol. 1993;169(4):1000-1006.
doi:10.1016/0002-9378(93)90043-I.
66.
Audibert F, Friedman S a, Frangieh a Y, Sibai BM. Clinical utility of strict diagnostic
criteria for the HELLP (hemolysis, elevated liver enzymes, and low platelets) syndrome.
Am J Obstet Gynecol. 1996;175:460-464. doi:10.1016/S0002-9378(96)70162-X.
67.
Hatsari Siahaan. Luaran Ibu dan Anak pada Penderita Preeklamosia Berat Usia
Kehamilan <37 Minggu dengan Penanganan secara Ekspetatif dan Aktif. 2011.
68.
Haddad B, Barton JR, Livingston JC, Chahine R, Sibai BM. HELLP (hemolysis,
elevated liver enzymes, and low platelet count) syndrome versus severe preeclampsia:
69.
Afessa B, Green B, Delke I, Koch K. Systemic inflammatory response syndrome, organ
failure, and outcome in critically ill obstetric patients treated in an ICU.
Chest.
2001;120(4):1271-1277. doi:10.1378/chest.120.4.1271.
70.
Abramovici D, Friedman SA, Mercer BM, Audibert F, Kao L, Sibai BM. Neonatal
outcome in severe preeclampsia at 24 to 36 weeks’ gestation: Does the HELLP
(hemolysis, elevated liver enzymes, and low platelet count) syndrome matter?
Am J
Obstet Gynecol. 1999;180(1 I):221-225. doi:10.1016/S0002-9378(99)70178-X.
71.
Aslan H, Gul A, Cebeci A. Neonatal outcome in pregnancies after preterm delivery for
HELLP syndrome. Gynecol Obs Invest. 2004;58(2):96-99. doi:10.1159/000078679.
72.
Raval DS, Co S, Reid MA, Pildes R. Maternal and neonatal outcome of pregnancies
complicated with maternal HELLP syndrome.
J Perinatol. 1997;17(4):266-269.
http://www.ncbi.nlm.nih.gov/pubmed/9280089.
73.
Audibert F, Benchimol Y, Benattar C, Champagne C, Frydman R. Prediction of
preeclampsia or intrauterine growth restriction by second trimester serum screening and
uterine
Doppler
velocimetry.
Fetal
Diagn
Ther.
2005;20(1):48-53.
doi:10.1159/000081369.
LAMPIRAN 3
Frequencies
Frequency Table
Diagnosis
34 44.7 44.7 44.7
42 55.3 55.3 100.0
76 100.0 100.0
Parsial HELLP Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Mortalitas maternal
6 7.9 7.9 7.9
70 92.1 92.1 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
DIC
1 1.3 1.3 1.3
75 98.7 98.7 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Gagal ginjal akut
18 23.7 23.7 23.7
58 76.3 76.3 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Gangguan pengl ihatan
13 17.1 17.1 17.1
63 82.9 82.9 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Edema paru
17 22.4 22.4 22.4
59 77.6 77.6 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Eklampsia
18 23.7 23.7 23.7
58 76.3 76.3 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
SI RS
4 5.3 5.3 5.3
72 94.7 94.7 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Perawatan ICU
41 53.9 53.9 53.9
35 46.1 46.1 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Sepsis
3 3.9 3.9 3.9
73 96.1 96.1 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Perdarahan post partum
4 5.3 5.3 5.3
72 94.7 94.7 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Mortalitas perinatal
14 18.4 18.4 18.4
62 81.6 81.6 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
IUGR
64 84.2 84.2 84.2
12 15.8 15.8 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
IUFD
15 19.7 19.7 19.7
61 80.3 80.3 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Asfiksia
36 47.4 47.4 47.4
40 52.6 52.6 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Gawat janin
18 23.7 23.7 23.7
58 76.3 76.3 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Kelahiran prematur
61 80.3 80.3 80.3
15 19.7 19.7 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Cumulat iv e Percent
Kelainan Doppler
28 36.8 36.8 36.8
48 63.2 63.2 100.0
76 100.0 100.0
Y a Tidak Total Valid
Frequency Percent Valid Percent
Crosstabs
Mortalitas maternal * Diagnosis
Crosstab
3 3 6
2.7 3.3 6.0
8.8% 7.1% 7.9%
31 39 70
31.3 38.7 70.0
91.2% 92.9% 92.1%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Ya
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
2 cells (50.0%) hav e expect ed count less than 5. The minimum expected count is 2. 68.
b.
Risk Esti mate
1.258 .237 6.672
1.129 .486 2.621
.897 .393 2.052
76 Odds Rat io f or Mortalitas
maternal (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
DIC * Diagnosis
33.6 41.4 75.0
97.1% 100.0% 98.7%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
2 cells (50.0%) hav e expect ed count less than 5. The minimum expected count is . 45.
b.
Risk Estimate
2.273 1.761 2.934
76 For cohort
Diagnosis = Parsial N of Valid Cases
Value Lower Upper
Gagal ginjal akut * Diagnosis
Crosstab
9 9 18
8.1 9.9 18.0
26.5% 21.4% 23.7%
25 33 58
25.9 32.1 58.0
73.5% 78.6% 76.3%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Tidak Gagal ginjal
akut
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 8. 05.
b.
Risk Esti mate
1.320 .457 3.810
1.160 .670 2.008
.879 .526 1.468
76 Odds Rat io f or Gagal
ginjal akut (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Gangguan penglihatan * Diagnosis
Crosstab
8 5 13
5.8 7.2 13.0
23.5% 11.9% 17.1%
26 37 63
28.2 34.8 63.0
76.5% 88.1% 82.9%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Tidak Gangguan penglihatan
Total
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 5. 82.
b.
Risk Esti mate
2.277 .669 7.749
1.491 .886 2.511
.655 .319 1.343
76 Odds Rat io f or Gangguan
penglihatan (Ya / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Edema paru * Diagnosis
Crosstab
6 11 17
7.6 9.4 17.0
17.6% 26.2% 22.4%
28 31 59
26.4 32.6 59.0
82.4% 73.8% 77.6%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 7. 61.
b.
Risk Esti mate
.604 .197 1.848
.744 .370 1.494
1.231 .804 1.887
76 Odds Rat io f or Edema
paru (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Eklampsia * Diagnosis
Crosstab
8 10 18
8.1 9.9 18.0
23.5% 23.8% 23.7%
26 32 58
25.9 32.1 58.0
76.5% 76.2% 76.3%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 8. 05.
b.
Risk Esti mate
.985 .340 2.853
.991 .550 1.789
1.007 .627 1.617
76 Odds Rat io f or
Eklampsia (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
SIRS * Diagnosis
32.2 39.8 72.0
94.1% 95.2% 94.7%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
2 cells (50.0%) hav e expect ed count less than 5. The minimum expected count is 1. 79.
b.
Risk Estimate
1.250 .167 9.370
1.125 .408 3.099
.900 .331 2.450
76 Odds Ratio f or SI RS
(Y a / Tidak) For cohort
Diagnosis = Parsial For cohort
Diagnosis = HELLP N of Valid Cases
Value Lower Upper
Perawatan ICU * Diagnosis
Crosstab
19 22 41
18.3 22.7 41.0
55.9% 52.4% 53.9%
15 20 35
15.7 19.3 35.0
44.1% 47.6% 46.1%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 15. 66.
b.
Risk Esti mate
1.152 .464 2.856
1.081 .653 1.791
.939 .627 1.407
76 Odds Rat io f or Perawatan
ICU (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Sepsis * Diagnosis
32.7 40.3 73.0
94.1% 97.6% 96.1%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
2 cells (50.0%) hav e expect ed count less than 5. The minimum expected count is 1. 34.
b.
Risk Estimate
2.563 .222 29.534
1.521 .656 3.527
.593 .118 2.978
76 Odds Ratio f or
Sepsis (Y a / Tidak) For cohort
Diagnosis = Parsial For cohort
Diagnosis = HELLP N of Valid Cases
Value Lower Upper
Perdarahan post partum * Diagnosis
32.2 39.8 72.0
94.1% 95.2% 94.7%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
2 cells (50.0%) hav e expect ed count less than 5. The minimum expected count is 1. 79.
b.
Risk Estimate
1.250 .167 9.370
1.125 .408 3.099
.900 .331 2.450
76 Odds Ratio f or
Perdarahan post partum (Ya / Tidak) For cohort
Diagnosis = Parsial For cohort
Diagnosis = HELLP N of Valid Cases
Value Lower Upper
Mortalitas perinatal * Diagnosis
Crosstab
5 9 14
6.3 7.7 14.0
14.7% 21.4% 18.4%
29 33 62
27.7 34.3 62.0
85.3% 78.6% 81.6%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 6. 26.
b.
Risk Esti mate
.632 .190 2.102
.764 .360 1.618
1.208 .766 1.903
76 Odds Rat io f or Mortalitas
perinatal (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
IUGR * Diagnosis
Crosstab
26 38 64
28.6 35.4 64.0
76.5% 90.5% 84.2%
8 4 12
5.4 6.6 12.0
23.5% 9.5% 15.8%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 5. 37.
b.
Risk Estimate
.342 .093 1.255
.609 .370 1.002
1.781 .780 4.066
76 Odds Ratio f or IUGR
(Y a / Tidak) For cohort
Diagnosis = Parsial For cohort
Diagnosis = HELLP N of Valid Cases
Value Lower Upper
IUFD * Diagnosis
Crosstab
7 8 15
6.7 8.3 15.0
20.6% 19.0% 19.7%
27 34 61
27.3 33.7 61.0
79.4% 81.0% 80.3%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 6. 71.
b.
Risk Estimate
1.102 .355 3.422
1.054 .573 1.940
.957 .567 1.615
76 Odds Ratio f or IUFD
(Y a / Tidak) For cohort
Diagnosis = Parsial For cohort
Diagnosis = HELLP N of Valid Cases
Value Lower Upper
Asfiksia * Diagnosis
Crosstab
18 18 36
16.1 19.9 36.0
52.9% 42.9% 47.4%
16 24 40
17.9 22.1 40.0
47.1% 57.1% 52.6%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 16. 11.
b.
Risk Estimate
1.500 .604 3.724
1.250 .758 2.062
.833 .551 1.260
76 Odds Ratio f or
Asf iksia (Y a / Tidak) For cohort
Diagnosis = Parsial For cohort
Diagnosis = HELLP N of Valid Cases
Value Lower Upper
Gawat janin * Diagnosis
Crosstab
9 9 18
8.1 9.9 18.0
26.5% 21.4% 23.7%
25 33 58
25.9 32.1 58.0
73.5% 78.6% 76.3%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 8. 05.
b.
Risk Esti mate
1.320 .457 3.810
1.160 .670 2.008
.879 .526 1.468
76 Odds Rat io f or Gawat
janin (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Kelahiran prematur * Diagnosis
Crosstab
26 35 61
27.3 33.7 61.0
76.5% 83.3% 80.3%
8 7 15
6.7 8.3 15.0
23.5% 16.7% 19.7%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Ya
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 6. 71.
b.
Risk Esti mate
.650 .209 2.021
.799 .458 1.393
1.230 .687 2.202
76 Odds Rat io f or Kelahiran
prematur (Y a / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Kelainan Doppler * Diagnosis
Crosstab
11 17 28
12.5 15.5 28.0
32.4% 40.5% 36.8%
23 25 48
21.5 26.5 48.0
67.6% 59.5% 63.2%
34 42 76
34.0 42.0 76.0
100.0% 100.0% 100.0% Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Count
Expected Count % wit hin Diagnosis Y a
Continuity Correctiona
Likelihood Ratio Fisher's Exact Test Linear-by -Linear
Computed only f or a 2x2 table a.
0 cells (.0%) hav e expected count less than 5. The minimum expected count is 12. 53.
b.
Risk Esti mate
.703 .273 1.812
.820 .475 1.417
1.166 .779 1.744
76 Odds Rat io f or Kelainan
Doppler (Ya / Tidak) For cohort Diagnosis = Parsial
For cohort Diagnosis = HELLP
N of Valid Cases
Value Lower Upper
Logistic Regression
Block 1: Method = Backward Stepwise (Likelihood Ratio)
Classificati on Tablea
15 19 44.1
9 33 78.6
63.2
8 26 23.5
4 38 90.5
60.5 Observ ed
Parsial HELLP Diagnosis
Ov erall Percentage
Parsial HELLP Diagnosis
Ov erall Percentage St ep 1
St ep 2
Parsial HELLP
Diagnosis Percent age Correct Predicted
The cut v alue is . 500 a.
Variables in the Equation
.961 .638 2.273 1 .132 2.615 .749 9.122
-1.193 .674 3.133 1 .077 .303 .081 1.136
-.163 1.333 .015 1 .903 .850
-1.073 .663 2.616 1 .106 .342 .093 1.255
1.452 .796 3.325 1 .068 4.272
Gangguan_penglihatan IUGR
Constant Step
1a
IUGR Constant Step
2a
B S.E. Wald df Sig. Exp(B) Lower Upper
95.0% C.I.for EXP(B)
Tabel Frekuensi Data
Variabel
F
%
Diagnosis
HELLP
42
30,9
Parsial
34
25
Mortalitas maternal
6
7,9
DIC
1
1,3
Gagal ginjal akut
18
23,7
Gangguan penglihatan
13
17,1
Edema paru
17
22,4
Eklampsia
18
23,7
SIRS
4
5,3
Perawatan ICU
41
53,9
Sepsis
3
3,9
Perdarahan post partum
4
5,3
Mortalitas perinatal
14
18,4
IUGR
64
84,2
IUFD
15
19,7
Asfiksia
36
47,4
Gawat janin
18
23,7
Kelahiran prematur
61
80,3
Kelainan Doppler
28
36,8
Tabel hasil uji chi square antar diagnosis Parsial dan HELLP
Variabel
Diagnosis
Bivariat
Multivariat
Parsial
HELLP
p
OR (IK95%)
p
OR
(IK95%)
Mortalitas maternal 3 8,8 3 7,1 1,000‡ 1,26 (0,24-6,67)
Gangguan penglihatan 8 23,
5 5
Mortalitas perinatal 5 14,
7 9
Kelahiran prematur 26 76,
5 35
83,
3 0,455
§ 0,65 (0,21-2,02)
Kelainan Doppler 11 32,
4 17
40,
5 0,465
§ 0,7 (0,27-1,81)
