apgar score

RETROSPECTIVE COHORT STUDY OF THE APGAR SCORE AT ONE MINUTE OF INFANT BORN ON PREECLAMPTIC WOMEN IN CIPTO MANGUNKUSUMO HOSPITAL

Adly Nanda Al Fattah, Sulaeman Andrianto Susilo, Karina Niken PratiwiDepartment of Obstetrics & Gynecology, Faculty of Medicine Universitas IndonesiaCipto Mangunkusumo Hospital, Jakarta Indonesia

AbstractBackgroundPreeclampsia is one of the common condition of unknown etiology which increase the risk of maternal and perinatal morbidity and mortality. Preeclampsia has great implication on adverse neonatal outcome. Apgar score at 1 minute is one of the indicators of physiologyc maturity of the infant. Therefore, we aim to see the correlation of Apgar score at 1 minute in preeclamptic women. MethodsData were collected during January to December 2013 with all preeclamptic women with singleton live pregnancies who delivered their babies in Cipto Mangunkusumo Hospital. The primary outcome was Apgar score at 1 minute. Age of gestation, maternal age, IUGR, ecclampsia, anemia, low birth weight, MAP, early or late, parity, leucocyte, thrombocyte, ANC, and severity of preeclampsia, were the variable studied. Binary logistic was used as multivariate analysis to see the correlation between independent factors and apgar score as the outcome.ResultOut of 450 preeclamptic women, 446 of them met the inclusion criteria. Low Apgar score was found in ..%(N/NN) of neonates. IUGR (Adjusted OR .., 95%CI ..-...), Age of gestation (Adjusted OR.. , 95%CI ..-..), dan lain lain were independent risk factors for having infant with low apgar score at 1 minute. Conclusion

Background

Preeclampsia is one of the common conditions of unknown etiology which increase the risk of maternal and perinatal morbidity and mortality. The exact etiology of preeclampsia remains unknown, factors that are currently more accepted include abnormal trophoblast invasion of uterine blood vessels, increased vasopressor response and vasospasm, immunological intolerance to the fetus and genetic abnormlities.1 Preeclampsia affects 3 5% of pregnancies, it is an important factor in fetal growth retardation as it is commonly associated with placental insufficiency.2 Preeclampsia has great implication on adverse neonatal outcome.3 The various complication seen are low Apgar score, IUGR, low birth weight, and increased need for admission to Neonatal Intensive Care Unit (NICU).4

The Apgar score, devised in 1952 by Dr. Virginia Apgar, is a quick method of assessing the clinical status of the newborn infant.5 The Apgar score comprises five components : heart rate, respiratory effort, muscle tone, reflex irritability, and color, each of which is given a score of 0,1, 0r 2. 6 It is important to recognize that elements of the apgar score are partially dependent on the physiologic maturity of the infant. 7

Some studies found that preeclamptic women tend to have infant with low apgar score than healthy women. Proteinuria and increased blood pressure in preeclampsia are associated with a lower fetal birth weight and a lower apgar score and an increased risk of adverse perinatal outcome.8 Gawde et al found that in severe cases of preeclampsia, the apgar score at 1 minute is 2- fold worse than in mild preeclampsia.9

Preeclampsia is frequently seen in Indonesia population. This study was conducted to correlate preeclampsia with to see the apgar score as the fetal outcome. 1. Usia Grup Ibu2. Klasifikasi Usia Kehamilan3. Anemia4. ANC Teratur5. IUGR6. Eklampsia7. Klasifikasi MAP8. Low Birth Weight

IUGR Ecclampsia Low Birth Weight MAP Early or Late Leucocyte Thrombocyte Severity Week of Gestation

ResultTable 1. All numeric variables were presented in median (range).GA,gestational age;BP,blood pressure;ANC,antenatal care; IUGR, intrauterine griwth restriction; SGA, small-for-gestational-age

VariablesNo.N= 446

Maternal age (yr)ParityWeeks of GA (weeks)Systolic BP (mmHg)Diastolic BP (mmHg)Thrombocyte count (x109/L )Type of Case Booked case, n(%) Non-Booked Case, n(%)ANC> 3 visits, n(%) 3 visit(s), n(%)Mode of Delivery Vaginal Delvery, n(%) Caesaran Delivery, n(%)IUGR Yes, n(%) No, n(%)Eclampsia Yes, n(%) No, n(%)Anemia (Hb < 11 g/dl) Yes, n(%) No, n(%)Preterm Delivery Yes, n(%) No, n(%)SGA Yes, n(%) Non, n(%)

31 (15-47)1 (0-6)37 (25-42)160 (90-270)100 (100-170)248

429 (96.2%)15 (3.4%)

361 (80.9%)85 (19.1%)

152 (34%)294 (65.9%)

29 (6.5%)417 (93.5%)

31 (7%)414 (92.8%)

58 (13%)367 (82.3%)

178 (39.9%)268 (60.1%)

86 (19.3%)360 (80.7%)

Table 2. VariablesSGA (n=86)Non-SGA (n=360)POR (95%CI)

Maternal Age (year)ParityWeeks of GA at birthBirtweight (gram)5th min Apgar ScoreSystolic Blood PressureDiastolic Blood PressureThrombocyte CountPrevious CD Yes No30 (16-42)1 (0-5)36 (25-41)1745 (500-2800)9 (00-10)160 (110-24)105 (100-140)217x109/L

10 (11.6%)76 (88.4%)31 (15-47)1 (0-6)28 (25-42)2850 (720-4935)9 (1-10)160 (90-270)100(60-270)256x109/L

43 (11.9%)317 (88.1 %)0.143*0.013*a0.007*a173500 / 3x)Count68293361

% within ANC teratur18.8%81.2%100.0%

% within ApgarNew79.1%81.4%80.9%

% of Total15.2%65.7%80.9%

tidak (1-3x)Count186785



% of Total4.0%15.0%19.1%

TotalCount86360446



% of Total19.3%80.7%100.0%

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)

Pearson Chi-Square.242a1.623

Continuity Correctionb.1151.734

Likelihood Ratio.2381.626

Fisher's Exact Test.647.361

Linear-by-Linear Association.2411.623

N of Valid Cases446

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 16.39.

b. Computed only for a 2x2 table

Risk Estimate

Value95% Confidence Interval

LowerUpper

Odds Ratio for ANC teratur (ya (>3x) / tidak (1-3x)).864.4821.548

For cohort ApgarNew = Low Apgar Score.890.5601.413

For cohort ApgarNew = Normal Apgar Score1.030.9121.162

N of Valid Cases446

CROSSTABS /TABLES=Severity BY ApgarNew /FORMAT=AVALUE TABLES /STATISTICS=CHISQ RISK /CELLS=COUNT ROW COLUMN TOTAL /COUNT ROUND CELL.

Crosstabs

Notes

Output Created09-JAN-2015 01:14:56

Comments

InputData/Users/saraswatigondotesna/Desktop/Magang dr Adly NA/SGA STudy/singleton live PEB 2013.sav

Active DatasetDataSet1

Filter

Weight

Split File

N of Rows in Working Data File446

Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.

Cases UsedStatistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

SyntaxCROSSTABS /TABLES=Severity BY ApgarNew /FORMAT=AVALUE TABLES /STATISTICS=CHISQ RISK /CELLS=COUNT ROW COLUMN TOTAL /COUNT ROUND CELL.

ResourcesProcessor Time00:00:00.01

Elapsed Time00:00:00.00

Dimensions Requested2

Cells Available131072

[DataSet1] /Users/saraswatigondotesna/Desktop/Magang dr Adly NA/SGA STudy/singleton live PEB 2013.sav

Case Processing Summary

Cases

ValidMissingTotal

NPercentNPercentNPercent

Severity * ApgarNew446100.0%00.0%446100.0%

Severity * ApgarNew Crosstabulation

ApgarNewTotal

Low Apgar ScoreNormal Apgar Score

SeveritySuperimposed PreeclampsiaCount6915

% within Severity40.0%60.0%100.0%


% of Total1.3%2.0%3.4%

Mild PreeclampsiaCount44448



% of Total0.9%9.9%10.8%

Severe PreeclampsiaCount54291345



% of Total12.1%65.2%77.4%

HELLP SyndromeCount221638



% of Total4.9%3.6%8.5%

TotalCount86360446



% of Total19.3%80.7%100.0%

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square47.155a3.000

Likelihood Ratio38.5263.000

Linear-by-Linear Association8.4651.004

N of Valid Cases446

a. 1 cells (12.5%) have expected count less than 5. The minimum expected count is 2.89.

Risk Estimate

Value

Odds Ratio for Severity (Superimposed Preeclampsia / Mild Preeclampsia)a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

RECODE minggukehamilan (Lowest thru 37=0) (38 thru 41=1) (42 thru Highest=2) INTO UsiaGestasi.VARIABLE LABELS UsiaGestasi 'UsiaGestasi'.EXECUTE.CROSSTABS /TABLES=UsiaGestasi BY ApgarNew /FORMAT=AVALUE TABLES /STATISTICS=CHISQ RISK /CELLS=COUNT ROW COLUMN TOTAL /COUNT ROUND CELL.

Crosstabs

Notes


Comments



Filter

Weight

Split File




SyntaxCROSSTABS /TABLES=UsiaGestasi BY ApgarNew /FORMAT=AVALUE TABLES /STATISTICS=CHISQ RISK /CELLS=COUNT ROW COLUMN TOTAL /COUNT ROUND CELL.







Cases

ValidMissingTotal


UsiaGestasi * ApgarNew446100.0%00.0%446100.0%

UsiaGestasi * ApgarNew Crosstabulation

ApgarNewTotal


UsiaGestasiPretermCount74151225

% within UsiaGestasi32.9%67.1%100.0%


% of Total16.6%33.9%50.4%

TermCount12207219



% of Total2.7%46.4%49.1%

PosttermCount022



% of Total0.0%0.4%0.4%

TotalCount86360446



% of Total19.3%80.7%100.0%

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)




N of Valid Cases446

a. 2 cells (33.3%) have expected count less than 5. The minimum expected count is .39.

Risk Estimate

Value

Odds Ratio for UsiaGestasi (Preterm / Term)a

a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.

LOGISTIC REGRESSION VARIABLES ApgarNew /METHOD=ENTER IUGR Eklampsia LBW klasifikasiMAP Earlyorlate KlasifikasiLeukoNew KlasifikasiTromboNew Severity UsiaGestasi /SAVE=PRED /PRINT=GOODFIT CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression

Notes


Comments



Filter

Weight

Split File


Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing

SyntaxLOGISTIC REGRESSION VARIABLES ApgarNew /METHOD=ENTER IUGR Eklampsia LBW klasifikasiMAP Earlyorlate KlasifikasiLeukoNew KlasifikasiTromboNew Severity UsiaGestasi /SAVE=PRED /PRINT=GOODFIT CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).



Variables Created or ModifiedPRE_24Predicted probability



Unweighted CasesaNPercent

Selected CasesIncluded in Analysis44599.8

Missing Cases1.2

Total446100.0

Unselected Cases0.0

Total446100.0

a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original ValueInternal Value

Low Apgar Score0

Normal Apgar Score1

Block 0: Beginning Block

Classification Tablea,b

ObservedPredicted

ApgarNewPercentage Correct


Step 0ApgarNewLow Apgar Score086.0

Normal Apgar Score0359100.0

Overall Percentage80.7

a. Constant is included in the model.

b. The cut value is .500

Variables in the Equation

BS.E.WalddfSig.Exp(B)

Step 0Constant1.429.120141.6711.0004.174

Variables not in the Equation

ScoredfSig.

Step 0VariablesIUGR9.6771.002

Eklampsia5.5801.018

LBW86.6661.000

klasifikasiMAP9.5091.002

Earlyorlate107.1951.000

KlasifikasiLeukoNew14.8401.000

KlasifikasiTromboNew32.6721.000

Severity8.3021.004

UsiaGestasi53.1501.000

Overall Statistics136.0229.000

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

Chi-squaredfSig.

Step 1Step130.1809.000

Block130.1809.000

Model130.1809.000

Model Summary

Step-2 Log likelihoodCox & Snell R SquareNagelkerke R Square

1306.733a.254.406

a. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001.

Hosmer and Lemeshow Test

StepChi-squaredfSig.

15.5488.698

Contingency Table for Hosmer and Lemeshow Test

ApgarNew = Low Apgar ScoreApgarNew = Normal Apgar ScoreTotal

ObservedExpectedObservedExpected

Step 112930.7901614.21045

22623.7012325.29949

31413.0443131.95645

455.9834241.01747

511.6181716.38218

655.2977675.70381

732.8975151.10354

81.6601616.34017

901.3365856.66458

102.6732930.32731

Classification Tablea

ObservedPredicted

ApgarNewPercentage Correct


Step 1ApgarNewLow Apgar Score434350.0

Normal Apgar Score2733292.5

Overall Percentage84.3

a. The cut value is .500

Variables in the Equation

BS.E.WalddfSig.Exp(B)95% C.I.for EXP(B)

LowerUpper

Step 1aIUGR.392.488.6431.4221.479.5683.852

Eklampsia.284.497.3281.5671.329.5023.518

LBW-.961.4983.7271.054.383.1441.015

klasifikasiMAP.059.349.0291.8651.061.5352.103

Earlyorlate-1.518.37916.0821.000.219.104.460

KlasifikasiLeukoNew1.088.31611.8501.0012.9671.5975.512

KlasifikasiTromboNew.866.4433.8261.0502.378.9985.667

Severity-.021.247.0071.934.980.6031.591

UsiaGestasi.639.4871.7211.1901.895.7294.927

Constant-.1371.691.0071.936.872

a. Variable(s) entered on step 1: IUGR, Eklampsia, LBW, klasifikasiMAP, Earlyorlate, KlasifikasiLeukoNew, KlasifikasiTromboNew, Severity, UsiaGestasi.

GET FILE='/Users/saraswatigondotesna/Desktop/Magang dr Adly NA/SGA STudy/singleton live PEB 2013.sav'.DATASET NAME DataSet1 WINDOW=FRONT.ROC Leuko BY ApgarNew (0) /PLOT=CURVE /CRITERIA=CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING=EXCLUDE.

ROC Curve

Notes


Comments



Filter

Weight

Split File



Cases UsedStatistics are based on all cases with valid data for all variables in the analysis.

SyntaxROC Leuko BY ApgarNew (0) /PLOT=CURVE /CRITERIA=CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING=EXCLUDE.





ApgarNewValid N (listwise)

Positivea86

Negative360

Larger values of the test result variable(s) indicate stronger evidence for a positive actual state.

a. The positive actual state is Low Apgar Score.

Area Under the Curve

Test Result Variable(s): Leuko

Area

.660

The test result variable(s): Leuko has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased.

ROC Leuko BY ApgarNew (0) /PLOT=CURVE(REFERENCE) /PRINT=SE COORDINATES /CRITERIA=CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING=EXCLUDE.

ROC Curve

Notes


Comments



Filter

Weight

Split File



Cases UsedStatistics are based on all cases with valid data for all variables in the analysis.

SyntaxROC Leuko BY ApgarNew (0) /PLOT=CURVE(REFERENCE) /PRINT=SE COORDINATES /CRITERIA=CUTOFF(INCLUDE) TESTPOS(LARGE) DISTRIBUTION(FREE) CI(95) /MISSING=EXCLUDE.





ApgarNewValid N (listwise)

Positivea86

Negative360

Larger values of the test result variable(s) indicate stronger evidence for a positive actual state.

a. The positive actual state is Low Apgar Score.

Area Under the Curve


AreaStd. ErroraAsymptotic Sig.bAsymptotic 95% Confidence Interval

Lower BoundUpper Bound

.660.031.000.599.722

The test result variable(s): Leuko has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased.

a. Under the nonparametric assumption

b. Null hypothesis: true area = 0.5

Coordinates of the Curve


Positive if Greater Than or Equal ToaSensitivity1 - Specificity

3869.001.0001.000

4695.001.000.997

5765.001.000.994

6305.001.000.992

6780.001.000.989

6980.001.000.986

7035.00.988.986

7140.00.988.983

7215.00.988.981

7225.00.988.975

7250.00.988.964

7280.00.988.961

7330.00.988.958

7390.00.988.956

7415.00.988.953

7440.00.988.950

7465.00.988.947

7480.00.988.942

7495.00.988.936

7525.00.988.931

7555.00.988.925

7565.00.988.922

7585.00.988.919

7615.00.988.914

7640.00.988.911

7655.00.988.908

7685.00.988.903

7720.00.988.900

7765.00.977.897

7820.00.977.894

7870.00.977.892

7915.00.977.889

7955.00.977.886

7995.00.977.883

8035.00.977.881

8080.00.977.878

8150.00.977.875

8320.00.977.872

8450.00.977.869

8465.00.977.867

8495.00.977.864

8580.00.965.864

8735.00.965.861

8850.00.965.856

8895.00.953.856

8930.00.953.853

8950.00.953.850

8975.00.953.847

9010.00.953.844

9095.00.953.842

9215.00.953.839

9290.00.953.836

9355.00.942.836

9445.00.942.833

9495.00.942.828

9535.00.942.822

9610.00.942.817

9675.00.942.814

9740.00.942.811

9790.00.942.808

9815.00.942.803

9860.00.942.800

9945.00.942.797

10025.00.942.792

10125.00.942.789

10210.00.942.772

10260.00.930.772

10350.00.930.764

10450.00.919.756

10550.00.907.733

10650.00.884.719

10750.00.884.708

10850.00.849.697

10950.00.849.686

11050.00.849.678

11150.00.849.667

11250.00.837.658

11350.00.837.653

11450.00.837.647

11550.00.837.636

11650.00.837.631

11750.00.837.619

11850.00.814.611

11950.00.814.603

12050.00.802.583

12150.00.802.569

12250.00.802.567

12400.00.791.547

12550.00.779.533

12650.00.767.517

12750.00.744.506

12850.00.733.503

12950.00.733.500

13050.00.721.492

13150.00.709.483

13250.00.698.481

13350.00.674.475

13450.00.674.464

13550.00.674.453

13650.00.674.442

13750.00.663.433

13850.00.628.422

13950.00.616.414

14050.00.616.406

14150.00.616.397

14250.00.605.394

14350.00.605.389

14450.00.605.383

14550.00.605.367

14650.00.593.361

14750.00.593.356

14850.00.581.356

14950.00.570.347

15050.00.570.336

15150.00.558.325

15250.00.558.317

15350.00.558.314

15450.00.558.303

15550.00.547.300

15650.00.535.289

15750.00.523.289

15850.00.512.289

15950.00.512.283

16050.00.512.269

16150.00.500.264

16250.00.488.258

16350.00.465.256

16450.00.465.253

16550.00.465.250

16650.00.465.244

16800.00.442.244

16950.00.430.236

17050.00.430.225

17150.00.419.214

17250.00.395.208

17350.00.372.206

17450.00.360.206

17600.00.360.200

17750.00.360.197

17850.00.349.194

17950.00.337.192

18050.00.326.186

18150.00.314.178

18250.00.314.172

18350.00.314.164

18450.00.314.161

18550.00.302.158

18650.00.302.156

18750.00.291.156

18850.00.279.153

18950.00.279.150

19050.00.267.144

19150.00.267.136

19300.00.267.128

19450.00.244.128

19550.00.233.128

19650.00.221.125

19800.00.221.119

19950.00.221.117

20050.00.209.114

20250.00.209.111

20450.00.209.106

20550.00.198.103

20650.00.186.103

20800.00.186.100

21050.00.186.097

21300.00.174.097

21450.00.174.092

21550.00.174.083

21650.00.174.078

21750.00.163.078

21850.00.151.075

21950.00.151.072

22050.00.151.069

22250.00.151.067

22450.00.151.064

22600.00.151.061

22750.00.151.058

23150.00.151.056

23600.00.140.056

23750.00.140.053

23850.00.140.050

23950.00.140.044

24050.00.140.042

24200.00.140.039

24350.00.140.036

24500.00.140.033

24800.00.140.031

25050.00.140.028

25250.00.128.028

25600.00.116.028

25900.00.105.028

26250.00.093.028

26550.00.093.025

26700.00.081.025

27000.00.070.019

27250.00.047.017

27450.00.047.014

27800.00.035.014

28150.00.035.011

28750.00.035.008

29950.00.035.006

30730.00.035.003

30880.00.023.003

31400.00.012.003

31900.00.000.003

32001.00.000.000

The test result variable(s): Leuko has at least one tie between the positive actual state group and the negative actual state group.

a. The smallest cutoff value is the minimum observed test value minus 1, and the largest cutoff value is the maximum observed test value plus 1. All the other cutoff values are the averages of two consecutive ordered observed test values.

RECODE Leuko (Lowest thru 12649=0) (12650 thru Highest=1) INTO LeukoApgar.VARIABLE LABELS LeukoApgar 'LeukoApgar'.EXECUTE.CROSSTABS /TABLES=LeukoApgar BY ApgarNew /FORMAT=AVALUE TABLES /STATISTICS=CHISQ RISK /CELLS=COUNT ROW COLUMN TOTAL /COUNT ROUND CELL.

Crosstabs

Notes


Comments



Filter

Weight

Split File




SyntaxCROSSTABS /TABLES=LeukoApgar BY ApgarNew /FORMAT=AVALUE TABLES /STATISTICS=CHISQ RISK /CELLS=COUNT ROW COLUMN TOTAL /COUNT ROUND CELL.







Cases

ValidMissingTotal


LeukoApgar * ApgarNew446100.0%00.0%446100.0%

LeukoApgar * ApgarNew Crosstabulation

ApgarNewTotal


LeukoApgar=12650Count66186252

% within LeukoApgar26.2%73.8%100.0%


% of Total14.8%41.7%56.5%

TotalCount86360446

% within LeukoApgar19.3%80.7%100.0%


% of Total19.3%80.7%100.0%

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)


Continuity Correctionb16.7571.000


Fisher's Exact Test.000.000


N of Valid Cases446

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 37.41.

b. Computed only for a 2x2 table

Risk Estimate

Value95% Confidence Interval

LowerUpper

Odds Ratio for LeukoApgar (=12650).324.189.557

For cohort ApgarNew = Low Apgar Score.394.248.626

For cohort ApgarNew = Normal Apgar Score1.2151.1131.327

N of Valid Cases446

LOGISTIC REGRESSION VARIABLES ApgarNew /METHOD=ENTER IUGR klasifikasiMAP Earlyorlate LeukoApgar LBW klasifikasitrombosit Severity UsiaGestasi Eklampsia /CONTRAST (IUGR)=Indicator /CONTRAST (klasifikasiMAP)=Indicator /CONTRAST (Earlyorlate)=Indicator /CONTRAST (LeukoApgar)=Indicator /CONTRAST (LBW)=Indicator /CONTRAST (klasifikasitrombosit)=Indicator /CONTRAST (Severity)=Indicator /CONTRAST (UsiaGestasi)=Indicator /CONTRAST (Eklampsia)=Indicator /SAVE=PRED /CLASSPLOT /PRINT=GOODFIT CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression

Notes


Comments



Filter

Weight

Split File


Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing

SyntaxLOGISTIC REGRESSION VARIABLES ApgarNew /METHOD=ENTER IUGR klasifikasiMAP Earlyorlate LeukoApgar LBW klasifikasitrombosit Severity UsiaGestasi Eklampsia /CONTRAST (IUGR)=Indicator /CONTRAST (klasifikasiMAP)=Indicator /CONTRAST (Earlyorlate)=Indicator /CONTRAST (LeukoApgar)=Indicator /CONTRAST (LBW)=Indicator /CONTRAST (klasifikasitrombosit)=Indicator /CONTRAST (Severity)=Indicator /CONTRAST (UsiaGestasi)=Indicator /CONTRAST (Eklampsia)=Indicator /SAVE=PRED /CLASSPLOT /PRINT=GOODFIT CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).



Variables Created or ModifiedPRE_25Predicted probability



Unweighted CasesaNPercent

Selected CasesIncluded in Analysis44599.8

Missing Cases1.2

Total446100.0

Unselected Cases0.0

Total446100.0

a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding

Original ValueInternal Value

Low Apgar Score0

Normal Apgar Score1

Categorical Variables Codings

FrequencyParameter coding

(1)(2)(3)

SeveritySuperimposed Preeclampsia151.000.000.000

Mild Preeclampsia47.0001.000.000

Severe Preeclampsia345.000.0001.000

HELLP Syndrome38.000.000.000

UsiaGestasiPreterm2251.000.000

Term218.0001.000

Postterm2.000.000

Eklampsia1311.000

2414.000

klasifikasi MAP=13587.000

Earlyorlatelate3461.000

early99.000

LeukoApgar=12650251.000

LBWNormo birtweight2731.000

LBW172.000

klasifikasitrombosit>1735003791.000

apgar score

Documents

low apgar score

lower apgar score

correlation of apgar

virginia apgar

minute of infant

preeclamptic women

severity of preeclampsia

low birth weight