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Classification Results and Statistics

CHAPTER 5: Classifier Design

5.4 Classification Results and Statistics

Table III: Maternal socio-demographic characteristics vs preterm delivery

Parameter Babies studied OR (95% CI) p value

Age (years)

<20 20-34

≥35

Preterm (%) 5(16.7) 137(10.9)

43(18.9)

Term (%) 25(83.3) 1125(89.1)

185(81.1)

1.64 (0.48-4.46)$ 1.91 (1.29-2.82)&

0.002*

S

Body Mass Index (Kg/m2) Low(<19.9)

High(≥19.9)

5(15.2) 15(7.8)

28(84.8) 178(92.2)

2.12 (0.56-6.75) 0.184#

NS Social Class

Low(III,IV,V) High(I and II)

103(15.7) 80(9.3)

551(84.3) 780(90.7)

1.82 (1.32-2.52) 0.000*

S Marital Status

Single Married

5(15.2) 180(12.1)

28(84.8) 1309(87.9)

1.30 (0.39-3.47) 0.588#

NS Parity

0 1-4

≥5

5(7.7) 154(11.5)

26(23.0)

60(92.3) 1184(88.5)

87(77.0)

0.64 (0.20-1.62)^

2.30 (1.40-3.76)@

0.001*

S

* Chi square test

# Fisher’s’s Exact test S Significant

NS not significant

$ Odds ratio and 95% confidence interval for low maternal age

& Odds ratio and 95% confidence interval for high maternal age

^ Odds ratio and 95% confidence interval for primiparity

@ Odds ratio and 95% confidence interval for high parity

Relationship between maternal antenatal factors and preterm delivery

A number of antenatal factors were evaluated to determine their relationship to preterm deliveries. Those characteristics significant as determinants of preterm delivery were previous preterm delivery, febrile illness, antepartum haemorrhage, prolonged rupture of membrane and premature rupture of membrane. Others include urinary tract infection chorioamnionitis, pregnancy induced hypertension, type of labour and booking status as shown in Table IV.

Table IV: Maternal antenatal and delivery characteristics vs preterm delivery

Parameter Babies studied OR (95% CI) p value

Packed cell volume (%) Preterm (%) Term (%)

<30

≥30

19(8.2) 62(7.6)

212(91.8) 756(92.4)

1.09 (0.62-1.92) 0.745*

NS Previous abortion

Yes No

53(13.2) 131(11.7)

350(86.8) 987(88.3)

1.14 (0.80-1.63) 0.449*

NS Previous uterine curettage

Yes No

31(12.9) 153(11.9)

209(87.1) 1128(88.1)

1.09 (0.71-1.68) 0.671*

NS Previous preterm delivery

Yes No

13(31.7) 171(11.6)

28(68.3) 1309(88.4)

3.55 (1.71-7.30) 0.001#

S Febrile illness

Yes No

11(22.9) 174(11.8)

37(77.1) 1300(88.2)

2.22 (1.05-4.62) 0.020*

S Antepartum haemorrhage

Yes No

16(53.3) 169(11.3)

14(46.7) 1323(88.7)

8.95 (4.06-19.78) 0.000#

S Prolonged rupture of membrane

Yes No

43(43.0) 142(10.0)

57(57.0) 1280(90.0)

6.80 (4.32-10.71) 0.000*

S Premature rupture of membrane

Yes No

56(40.0) 129(9.3)

84(60.0) 1253(90.7)

6.48 (4.33-9.67) 0.000*

S Urinary tract infection

Yes No

4(44.4) 181(12.0)

5(55.6) 1332(88.0)

5.89 (1.16-27.57) 0.016#

S Chorioamnionitis

Yes No

6(42.9) 179(11.9)

8(57.1) 1329(88.1)

5.57 (1.57-18.50) 0.004#

S Pregnancy induced hypertension

Yes No

37(27.8) 148(10.7)

96(72.2) 1241(89.3)

3.23 (2.09-4.99) 0.000*

S Type of labour

Medically induced Spontaneous

66(38.4) 119(8.8)

106(61.6) 1231(91.2)

6.44 (4.42-9.38) 0.000*

S Booking status

Elsewhere UITH

84(29.4) 101(8.2)

202(70.6) 1135(91.8)

4.67 (3.33-6.56) 0.000*

S

* Chi square test

# Fisher’s Exact test

S Significant NS not significant

Analysis to exclude confounders of the determinants of preterm delivery

To exclude confounders, factors identified above to be significantly associated with preterm delivery were included in a linear regression model. A logistic regression analysis was thereafter carried out to exclude their relative contribution listwise. Table V shows that after regression analysis, socio-economic class, previous preterm delivery, antepartum haemorrhage, premature rupture of fetal membranes, urinary tract infection, pregnancy induced hypertension, type of labour and booking status remained significant. The model accounted for 19.6% of preterm deliveries.

The goodness of fit for the model gave an F-value of 28.047; df: 13, p=0.000.

Booking status was the strongest determinant of preterm delivery.

Table V: Linear logistic regression of maternal socio-demographic and antenatal variables on preterm deliveries

Beta Coefficients t p value

Maternal age -.033 -1.360 .174

Socio-economic class -.057 -2.412 .016

Parity -.029 -1.188 .235

previous preterm delivery .081 3.488 .001

Febrile illness .026 1.017 .309

antepartum haemorrhage .102 4.240 .000

prolonged rupture of membranes .051 1.285 .199

premature rupture of membranes .153 3.931 .000

urinary tract infection .066 2.746 .006

Chorioamnionitis .013 .480 .632

hypertension in pregnancy .068 2.702 .007

Type of labour -.167 -6.408 .000

booking status -.172 -7.144 .000

Comparison between determinants of early versus late preterm deliveries

Maternal socio-demographic variables were compared between early and late preterm deliveries. Table VI illustrates that none of the factors studied was significantly associated with timing of preterm delivery.

Table VI: maternal socio-demographic variables vs early and late preterm deliveries

Parameter Babies studied OR (95% CI) P value

Age (years)

<20 20-34

≥35

Early preterm (%) 0

38(27.9) 12(27.9)

Late preterm (%) 5(100.0) 98(72.1) 31(72.1)

0.00 (0.00-2.95)$ 1.00 (0.43-2.28)&

0.383*

NS

Body Mass Index (Kg/m2) Low(<19.9)

High(≥19.9)

3(25.0) 11(12.5)

9(75.0) 77(87.5)

2.33 (0.35-11.34) 0.222#

NS Social Class

Low(III,IV,V) High(I and II)

31(30.1) 18(22.8)

72(69.9) 61(77.2)

1.46 (0.71-3.03) 0.270*

NS Marital Status

Single Married

0 50(27.9)

5(100.0) 129(72.1)

0.00 (0.00-2.92) 0.201#

NS Parity

0 1-4

≥5

1(20.0) 42(26.9)

9(33.3)

4(80.0) 114(73.1)

18(66.7)

0.68 (0.01-7.13)^

1.36 (0.52-3.51)@

0.732*

NS

* Chi square test

# Fisher’s Exact test S Significant

NS not significant

$ Odds ratio and 95% confidence interval for low maternal age

& Odds ratio and 95% confidence interval for high maternal age

^ Odds ratio and 95% confidence interval for primiparity

@ Odds ratio and 95% confidence interval for high parity

Maternal antenatal and delivery characteristics were compared between early and late preterm deliveries. Factors significantly associated with early preterm delivery were prolonged rupture of membrane, premature rupture of membrane, chorioamnionitis and booking status as depicted in Table VII.

Table VII: Maternal antenatal and delivery characteristics vs early and late preterm delivery

Parameter Babies studied OR (95% CI) P value

Packed cell volume (%) Early preterm (%) Late preterm (%)

<30

≥30

4(22.2) 11(17.7)

14(77.8) 51(82.3)

1.32 (0.27-5.41) 0.450#

NS Previous abortion

Yes No

17(32.1) 32(24.6)

36(67.9) 98(75.4)

1.45 (0.68-3.08) 0.301*

NS Previous uterine curettage

Yes No

8(25.8) 41(27.0)

23(74.2) 111(73.0)

0.94 (0.35-2.44) 0.894*

NS Previous preterm delivery

Yes No

4(30.8) 45(26.5)

9(69.2) 125(73.5)

1.23 (0.26-4.69) 0.477#

NS Febrile illness

Yes No

5(45.5) 45(26.0)

6(54.5) 128(74.0)

2.37 (0.54-9.78) 0.146#

NS Antepartum haemorrhage

Yes No

5(31.3) 45(26.8)

11(68.8) 123(73.2)

1.24 (0.32-4.14) 0.450#

NS Prolonged rupture of membrane

Yes No

19(44.2) 31(22.0)

24(55.8) 110(78.0)

2.81 (1.28-6.15) 0.004*

S Premature rupture of membrane

Yes No

24(42.9) 26(20.3)

32(57.1) 102(79.7)

2.94 (1.41-6.16) 0.002*

S Urinary tract infection

Yes No

1(25.0) 49(27.2)

3(75.0) 131(72.8)

0.89 (0.02-11.41) 0.702#

NS Chorioamnionitis

Yes No

5(83.3) 45(25.3)

1(16.7) 133(74.7)

14.78 (1.57-703.99) 0.006#

S Pregnancy induced hypertension

Yes No

8(21.6) 42(28.6)

29(78.4) 105(71.4)

0.69 (0.27-1.74) 0.396*

NS Type of labour

Medically induced Spontaneous

18(27.3) 32(27.1)

48(72.7) 86(72.9)

1.01 (0.48-2.09) 0.982*

NS Booking status

Elsewhere UITH

33(39.3) 17(17.0)

51(60.7) 83(83.0)

3.16 (1.52-6.62) 0.001*

S

* Chi square test

# Fisher’s Exact test S Significant NS not significant

After linear logistic regression analysis, chorioamnionitis and booking status remained significantly associated with early preterm delivery. The model could only account for 14% of early preterm delivery. The goodness of fit for the model gave an F-value of 7.383; df: 4, p=0.000. Booking status was the strongest determinant of early preterm delivery as shown in Table VIII.

Table VIII: Linear logistic regression of maternal socio-demographic and antenatal variables on early preterm deliveries

Beta Coefficients T p value

Prolonged rupture of membrane -0.018 -0.138 0.890

Premature rupture of membrane 0.162 1.283 0.201

Chorioamnionitis 0.213 2.955 0.004

Booking status -0.234 -3.304 0.001

Mortality outcome of the deliveries

Twenty two (11.9%) out of the 185 recruited babies delivered preterm died compared to 17 (1.3%) out of 1337 recruited babies delivered at term. This difference was statistically significant with Fisher’s’s Exact test= 0.000.

Outcome by gestational age

Three (75%) of the 4 babies delivered before 28 completed weeks of gestation died while 15(32.6%) of 46 babies delivered between 28 weeks and 33 weeks died.

Mortality rates for those between 34-36 weeks and 37-42 weeks were 3% and 1.3%

respectively as shown in Figure 2. These differences were significant with p value = 0.000.

0 200 400 600 800 1000 1200 1400 1600

<28 28-33 34-36 37-42 Gestational age (weeks)

Number of babies

0 10 20 30 40 50 60 70 80

percentage mortality

Total Dead (%)

Figure 2: Outcome by gestational age

One hundred percent mortality was observed among babies delivered at 24, 26, 28 and 29 weeks gestational age as shown in Table IX. All the deliveries below 28 weeks recorded were livebirths.

Table IX: Distribution of mortality by specific gestational age

GA (weeks) Died (%) Alive (%) Total

24 1(100) - 1

26 1(100) - 1

27 1(50) 1(50) 2

28 3(100) - 3

29 1(100) - 1

30 4(57.1) 3(42.9) 7

31 3(42.9) 4(57.1) 7

32 - 13(100) 13

33 4(26.7) 11(73.3) 15

34 2(6.1) 31(93.9) 33

35 2(4.8) 40(95.2) 42

36 - 59(100) 59

37 4(3.2) 120(96.8) 124

38 1(0.4) 249(99.6) 250

39 2(0.5) 370(99.5) 372

40 5(1.3) 380(98.7) 385

41 5(2.5) 193(97.5) 198

42 - 9(100) 9

Total 39 1483 1522

Outcome by birthweight

Seventy five percent of 4 babies weighing less than 1000g at delivery and 52.6% of those between 1000 and 1499g died. Mortality rates for those between 1500-2499g, 2500-3500g and greater than 3500g were 6%, 1.4% and 0.4% respectively as shown in Figure 3. These differences were significant with p value = 0.000.

0 200 400 600 800 1000 1200

<1000 1000-1499

1500-2499

2500-3500

>3500

birth weight (grammes)

Number of babies

0 10 20 30 40 50 60 70 80

percentage mortality

Total Dead (%)

Figure 3: Outcome by birthweight Outcome of all preterm babies

Three percent of late preterm babies died compared to 36% of early preterm babies. The difference was statistically significant as shown in Table X.

Table X: Outcome of early preterm vs late preterm babies

Gestation age Dead (%) Alive (%) Total

Early preterm 18(36.0) 32(64.0) 50

Late preterm 4(3.0) 130(97.0) 134

Total 22 162 184

χ2 at 1 df= 37.703; p value= 0.000; OR = 18.28; 95% CI = 5.41-77.74 Duration on admission before death

Fifteen percent of mortality among all recruited subjects took place within 6 hours of birth. More than two thirds of the mortalities (74.4%) took place within 72 hrs of birth and less than one third of all death (25.6%) took place after 72 hours as illustrated in Figure 4.

6

23 10

<6hrs 6hrs to 72hrs

>72hrs

Figure 4: Duration on admission before death among all babies

Fourteen percent of mortality among all recruited preterm subjects took place within 6 hours of birth. More than two thirds of the mortalities (72.7%) took place within 72 hrs of birth. Less than one third of all death (27.3%) took place after 72 hours as illustrated in Figure 5.

3

13 6

<6hrs 6hrs to 72hrs

>72hrs

Figure 5: Duration on admission before death among preterm babies

Duration of admission among babies admitted and discharged home alive

Table XI illustrates the mean duration of admission among the various categories of babies. The mean duration of admission for preterm babies discharged home alive was 8.5 ± 7.5 days while that for term babies was 4.3 ± 2.9 days. The mean duration of admission among early preterm babies discharged home alive was 10.8 ± 10.0 days compared to that for late preterm babies which was 7.0 ± 5.0 days.

The differences between these various categories were statistically significant with a p value < 0.05.

Table XI: Mean duration of admission among babies admitted and discharged home alive

Category of Baby n Mean ± S D (days) Significance * Preterm

Term

64 121

8.5 ± 7.5 4.3 ± 2.9

0.000 S Early Preterm

Term

25 121

10.8 ± 10.0 4.3 ± 2.9

0.000 S Early Preterm

Late Preterm

25 39

10.8 ± 10.0 7.0 ± 5.0

0.016 S

* = Mann-Whitney U S Significant

Duration of admission among babies that died

Mean duration of admission among preterm babies that died was 2.0 ± 2.3 days while that for term babies was 2.1 ± 2.7 days. The mean duration of admission among early preterm babies that died was 1.7 ± 2.2 days compared to late preterm babies; 3.5

± 2.4 days. None of the differences between these various means was statistically significant with p values > 0.05 as shown in Table XII.

Table XII: Mean duration of admission among babies that died

Category of Baby n Mean ± S D (days) Significance * Preterm

Term

22 17

2.0 ± 2.3 2.1 ± 2.7

0.954 NS Early Preterm

Term

18 17

1.7 ± 2.2 2.1 ± 2.7

0.641 NS Early Preterm

Late Preterm

18 4

1.7 ± 2.2 3.5 ± 2.4

0.094 NS

* = Mann-Whitney U NS not significant

Pattern of morbidities among the babies

Table XIII shows the morbidities encountered by preterm and term babies. All listed morbidities (except polycythaemia, anaemia and hypoglycaemia) occurred significantly more frequently in preterm than term babies.

Table XIII: Morbidities encountered by subjects

Morbidity Yes (%) No (%) OR (95% CI) P value

Severe perinatal asphyxia Preterm

Term

23(12.5) 39(2.9)

161(87.5) 1294(97.1)

4.74 (2.67-8.40) 0.000*

S Sepsis

Preterm Term

19(10.3) 21(1.6)

165(89.7) 1311(98.4)

7.19 (3.62-14.27) 0.000#

S Apnoea

Preterm Term

12(6.5) 7(0.5)

172(93.5) 1325(99.5)

13.21 (4.76-37.63) 0.000#

S Polycythaemia

Preterm Term

2(1.1) 3(0.2)

182(98.9) 1329(99.8)

4.87 (0.40-42.72) 0.114#

NS Anaemia

Preterm Term

- 4(0.3)

184(100.0) 1328(99.7)

0.00 (0.00-11.00) 0.596#

NS Respiratory distress

Preterm Term

66(35.9) 73(5.5)

118(64.1) 1259(94.5)

9.65 (6.46-14.40) 0.000*

S Jaundice

Preterm Term

32(17.4) 15(1.1)

152(82.6) 1317(98.9)

18.48 (9.41-36.68) 0.000*

S Hypoglycaemia

Preterm Term

2(1.1) 9(0.7)

182((98.9) 1323(99.3)

1.62 (0.17-7.82) 0.633#

NS Necrotizing enterocolitis

Preterm Term

3(1.6) 1(0.1)

181(98.4) 1331(99.9)

22.06 (1.75-1158.93)

0.006#

S

* Chi square test

# Fisher’s Exact test S Significant

NS not significant

Similarly, all listed morbidities (except polycythaemia, necrotizing entero-colitis and hypoglycaemia) occurred significantly more frequently in early preterm than late term babies. This is illustrated in table XIV.

Table XIV: Frequency of occurrence of morbidities in early and late preterm babies

Morbidity Yes(%) No(%) OR (95% CI) P value

Severe perinatal asphyxia Early Preterm

Late Preterm

17(34) 6(4.5)

33(66.0) 127(95.5)

10.90 (3.68-35.92) 0.000*

S Sepsis

Early Preterm Late Preterm

9(18.0) 10(7.5)

41(82.0) 123(92.5)

2.70 (0.93-7.83) 0.038*

S Apnoea

Early Preterm Late Preterm

11(22.0) 1(0.8)

39(78.0) 132(99.2)

37.23 (5.02-1614.07)

0.000#

S Polycythaemia

Early Preterm Late Preterm

1(2.0) 1(0.8)

49(98.0) 132(99.2)

2.69 (0.03-213.03) 0.473#

NS Respiratory distress

Early Preterm Late Preterm

38(76.0) 28(21.1)

12(24.0) 105(78.9)

11.88 (5.17-27.79) 0.000*

S Jaundice

Early Preterm Late Preterm

19(38.0) 13(9.8)

31(62.0) 120(90.2)

5.66 (2.35-13.76) 0.000*

S Hypoglycaemia

Early Preterm Late Preterm

0 2(1.5)

50(100.0) 131(98.5)

0.00 (0.00-14.22) 0.527#

NS Necrotizing enterocolitis

Early Preterm Late Preterm

2(4.0) 1(0.8)

48(96.0) 132(99.2)

5.50 (0.28-326.87) 0.182#

NS

* Chi square test

# Fisher’s’s Exact test S Significant

NS not significant

Determinants of Mortality

Maternal socio-demographic determinants of mortality among preterm babies When outcome among preterm babies was analysed with respect to maternal socio-demographic variables as shown in Table XV, no variable was statistically significant.

Table XV: Maternal socio-demographic variables vs outcome among preterm babies

Parameter outcome OR (95% CI) P value

Marital status Dead (%) Alive (%) Single

Married

0 (0) 22(12.2)

5(100) 158(87.8)

0.00 (0.00-8.33) 0.527#

NS Maternal age

<20 20-34

≥35

0 (0) 18(13.1)

4(9.3)

5(100) 119(86.9)

39(90.7)

0.00 (0.00-7.79)$ 0.68 (0.16-2.24)&

0.562*

NS

Body mass index (Kg/m2)

<19.9

≥19.9

0(0) 2(1.0)

33(100.0) 191(99.0)

0.00 (0.00-31.45) 0.729#

NS Socioeconomic class

Low(3, 4, 5) High(1 & 2)

11(10.7) 10(12.5)

92(89.3) 70(87.5)

0.84 (0.31-2.28) 0.702*

NS Parity

0 1-4

≥5

1(20.0) 21(13.6)

0 (0)

4(80.0) 133(86.4)

26 (100)

1.58 (0.03-17.00)^

0.00 (0.00-1.07)@

0.118*

NS

* Chi square test

# Fisher’s Exact test S Significant

NS not significant

$ Odd ratio and 95% confidence interval for low maternal age

& Odd ratio and 95% confidence interval for high maternal age

^ Odd ratio and 95% confidence interval for primiparity

@ Odd ratio and 95% confidence interval for high parity

Maternal antenatal determinants of mortality among preterm babies

The booking status was significant as a determinant of mortality when maternal antenatal factors were analysed against outcome among preterm babies as illustrated in Table XVI.

Table XVI: Maternal antenatal factors vs outcome among preterm babies

Parameter Outcome OR (95% CI) p value

Booking status Elsewhere UITH

Dead(%) 15(17.9) 7(6.9)

Alive(%) 69(82.1) 94(93.1)

2.92 (1.04-8.41) 0.022*

Previous abortion Yes

No

9(17.0) 13(9.9)

44(83.0) 188(90.1)

2.96 (1.08-7.99) 0.181*

NS Previous preterm delivery

Yes No

2(15.4) 20(11.7)

11(84.6) 151(88.3)

1.37 (0.14-7.00) 0.477#

NS Febrile Illness

Yes No

3(27.3) 19(10.9)

8(72.7) 155(89.1)

3.06 (0.48-14.10) 0.128#

NS Antepartum haemorrhage

Yes No

4(25.0) 18(10.7)

12(75.0) 151(89.3)

2.80 (0.59-10.51) 0.104#

NS Prolonged rupture of membrane

Yes No

3(7.0) 19(13.4)

40(93.0) 123(86.6)

0.49 (0.09-1.78) 0.256#

NS Premature rupture of membrane

Yes No

6(10.7) 16(12.4)

50(89.3) 113(87.6)

0.85 (0.26-2.45) 0.744#

NS Urinary tract infection

Yes No

1(25.0) 21(11.6)

3(75.0) 160(88.4)

2.54 (0.05-33.10) 0.400#

NS Chorioamnionitis

Yes No

2(33.3) 20(11.2)

4(66.7) 159(88.8)

3.97 (0.34-29.49) 0.151#

NS Pregnancy induced hypertension

Yes No

5(13.5) 17(11.5)

32(86.5) 131(88.5)

1.20 (0.32-3.74) 0.460#

NS Type of Labour

Medically induced Spontaneous

9(13.6) 13(10.9)

57(86.4) 106(89.1)

1.29 (0.47-3.45) 0.585*

NS Packed cell volume (%)

<30

≥30

4(21.1) 5(8.1)

15(78.9) 57(91.9)

3.04 (0.53-15.90) 0.125#

NS

* Chi square test

# Fisher’s Exact test S Significant NS not significant

Delivery factors as determinants of mortality among preterm babies

None of the delivery factors studied was significant as a determinant of mortality among recruited preterm babies as shown in Table XVII.

Table XVII: Delivery factors vs outcome among preterm babies

Parameter Outcome OR (95% CI) p value

Labour duration

>12hrs

≤12hrs

Dead (%) 2(22.2)

6(7.0)

Alive(%) 7(77.8) 80(93.0)

3.81 (0.31-26.92) 0.166#

NS Mode of delivery

Operative Vaginal

8(15.4) 14(10.5)

44(84.6) 19(89.5)

0.25 (0.08-0.76) 0.359*

NS

* Chi square test

# Fisher’s Exact test NS not significant

Neonatal factors as determinants of mortality among preterm babies

Table XVIII show those neonatal factors that were significant as determinants of mortality among preterm babies. These were severe perinatal asphyxia, sepsis, apnoea, respiratory distress, necrotizing enterocolitis and duration of resuscitation.

Table XVIII: Neonatal factors vs outcome among preterm babies

Parameter Outcome OR (95% CI) p value

Gender Male Female

Dead (%) 10(12.3) 11(10.7)

Alive (%) 71(87.7) 92(89.3)

1.18 (0.43-3.19) 0.724*

NS

Class SGA AGA LGA

2(33.3) 18(10.6)

0

4(66.7) 152(89.4)

7(100.0)

4.22 (0.35-31.52)$ 0.00 (0.00-6.38)&

0.137*

NS

Severe perinatal asphyxia Yes

No

16(69.6) 5(3.1)

7(30.4) 156(96.9)

71.31 (17.63-308.24) 0.000#

S

Sepsis Yes No

5(26.3) 16(9.7)

14(73.7) 149(90.3)

3.33 (0.82-11.43) 0.047#

S

Apnoea Yes No

11(91.7) 10(5.8)

1(8.3) 162(94.2)

178.20 (20.64-7709.02) 0.000#

S

Polycythaemia Yes

No

0 21(11.5)

2(100.0) 161(88.5)

0.00 (0.00-42.03) 0.784#

NS

Respiratory distress Yes

No

18(27.3) 3(2.5)

48(72.7) 115(97.5)

14.38 (3.88-78.46) 0.000*

S

Jaundice Yes No

3(9.4) 18(11.8)

29(90.6) 134(88.2)

0.77 (0.14-2.91) 0.484#

NS

Hypoglycaemia Yes

No

0 21(11.5)

2(100.0) 161(88.5)

0.00 (0.00-42.03) 0.784#

NS

Necrotizing enterocolitis Yes

No

3(100.0) 18(9.9)

0 163(90.1)

Undefined 0.001#

S

Resuscitation duration

>5min

≤5min 14(40.0)

6(11.1)

21(60.0) 48(88.9)

5.33 (1.62-19.02) 0.003##

S

* Chi square test

# Fisher’s Exact test

## Chi square with Yates correction S Significant

NS not significant

$ Odd ratio and 95% confidence interval for SGA babies

Analysis to exclude confounders of the determinants of mortality among preterm babies

After linear regression analysis, severe perinatal asphyxia, apnoea, necrotizing enterocolitis and duration of resuscitation remained significant. The model accounted for 66.8% of mortality among preterm babies. The goodness of fit for the model gave an F-value of 23.008; df: 7, p=0.000. The strongest determinant of mortality was apnoea followed by severe perinatal asphyxia as shown in Table XIX.

Table XIX: Linear logistic regression of determinants of mortality

Beta Coefficients T p value

Severe perinatal asphyxia -0.416 -4.312 0.000

Sepsis -0.093 -1.399 0.166

Apnoea -0.536 -6.182 0.000

Respiratory distress -0.035 -0.468 0.641

Necrotizing enterocolitis -0.236 -3.345 0.001

Resuscitation duration -0.184 -2.207 0.030

Booking status -0.027 -0.394 0.695

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