Indian Journal of Clinical and Experimental Ophthalmology

Print ISSN: 2395-1443

Online ISSN: 2395-1451

CODEN : IJCEKF

Indian Journal of Clinical and Experimental Ophthalmology (IJCEO) is open access, a peer-reviewed medical journal, published quarterly, online, and in print, by the Innovative Education and Scientific Research Foundation (IESRF) since 2015. To fulfil our aim of rapid dissemination of knowledge, we publish articles ‘Ahead of Print’ on acceptance. In addition, the journal allows free access (Open Access) to its content, which is likely to attract more readers and citations of articles published in IJCEO. Manuscripts must be prepared in more...

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Get Permission Shaik and Chaitra M C: Prevalence, risk factors and severity of retinopathy of prematurity in preterm infants in a tertiary care hospital in rural Karnataka


Introduction

Across the globe, childhood blindness is a major health concern. Estimates of childhood blindness globally is around 1.42 million. Children suffering from moderate to severe visual impairment is 17.52 million.1 ROP is an abbreviation for retinopathy of prematurity, which is a vaso-proliferative disease that damages the developing retina of premature infants who were born with a low birth weight.2 The incidence of ROP in India ranges from 38 to 47%.3 ROP may develop in premature new-borns during the course of four to five weeks following delivery and is marked by an avascular or incompletely vascularized retina at birth.2 The course and presentation of ROP are determined by multiple risk factors which are interlinked with the pathogenesis of the development of the different stages of ROP.4

Prematurely born infants are the ones who are at risk of developing ROP. Other factors like, low birth weight (LBW), problems with oxygenation, Respiratory distress syndrome (RDS), multiple blood transfusions, Neonatal hyperbiluribinemia (NNHB), sepsis, multiple gestation and maternal factors like maternal anemia, pregnancy induced hypertension (PIH), gestational diabetes mellitus (GDM) have also been implicated in the causation of ROP.5

It is imperative that improved care for mothers and newborns, screening recommendations for ROP that are suitable for countries with middle-income levels, and broad prompt treatment be implemented immediately in order to contain this pandemic.6 The purpose of this study is to determine the prevalence of retinopathy of prematurity (ROP), as well as its risk factors and severity, among newborns who are going to be hospitalised and screened in a tertiary care institute that serves a rural population.

Materials and Methods

Study design

After obtaining institutional ethical clearance for start of study, a Cross-sectional observational study was conducted for a period of one year between June 2021 to May 2022 at R L Jalappa Hospital and Research Hospital attached to Sri Devaraj Urs Medical College, located in Tamaka, Kolar, a rural part of Karnataka. Sample size was estimated based on study by Dwivedi A et al., using open epi software version 3, with 6% error and 95% confidence interval.7

All preterm infants admitted to the hospital with a birth weight of less than 1500 g and/or less than 32 weeks of gestation were included in the study after informed consent was obtained. Babies with birth weights between 1500 and 2500 g and/or 33 to 35 weeks of gestation who were at a higher risk of developing ROP due to factors such as respiratory distress syndrome, sepsis, multiple blood transfusions, or multiple births were also included.

Babies born prematurely who were admitted to the NICU for critical illness and were already receiving treatment for ROP in another facility were not included in the study.

At either 32 weeks of gestation or 4 weeks of age, whichever came first, a first screening examination was performed. For this reason, the gestational age was determined using the date of the woman's most recent menstrual period, or with the assistance of first-trimester sonography in cases where the date of the woman's most recent menstrual period was unknown. In the case of neonates born exceedingly prematurely, the babies are often checked at an earlier age than usual.

The patient's demographic history as well as risk factors such as respiratory distress syndrome, multiple blood transfusions, sepsis, multiple deliveries, apneic episodes, and hyperoxygenation were taken into account.

The anterior segment of the eye was examined, and then the pupils were dilated using a mixture of phenylephrine 2.5% and tropicamide 0.5%. This solution was instilled topically into the eye three times, with a 10-minute break in between each instillation, approximately an hour before the scheduled inspection. As a precaution, any surplus eye drops were removed with sterile cotton, and the mother was warned not to feed the baby right before the examination for fear that the infant would throw up or aspirate any liquid that was consumed. An ophthalmologist utilising RetCam carried out the assessment in the NICU while taking all appropriate hygienic procedures. The RetCam procedure was carried out with extreme caution in order to avoid exerting an excessive amount of force on the globe. If the initial examination did not reveal any signs of ROP, the children were re-examined once every two weeks up until the point where vascularization was fully developed. If ROP was found, retinal examinations were carried out on a weekly basis for stage 1 and stage 2 of the disease, and on a more frequent basis for stage 3 of the disease, and this continued until the condition began to resolve itself or reached the threshold stage. Pre-plus, plus disease was not considered ROP group. Comparison is done based on stages of ROP. Babies who were making progress toward the threshold stage were given the necessary treatment, and those who appeared to be regressing were monitored until the vascularization process was finished. As the ophthalmologist had recommended, the newly discharged infants were contacted for a follow-up appointment.

Birth weight of preterm babies are classified as LBW -Low birth weight (<2500g), VLBW-Very low birth weight (<1500g) and ELBW- extremely low birth weight (<1000g).

Staging of ROP based on ICROP (International classification of retinopathy of prematurity).8

  1. Stage 1: Demarcation Line

  2. Stage 2: Ridge

  3. Stage 3: Extraretinal Fibrovascular Proliferation

  4. Stage 4: Partial Retinal Detachment

  5. Stage 5: Total Retinal Detachment.

Figure 1

ROP screening

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Figure 2

Showing 1. Stage 1 ROP, 2. Stage 2 ROP, Stage 3 ROP

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Statistical analysis

Descriptive analysis was depicted by mean and standard deviation for quantitative variables. Frequency and proportion for categorical variables was used.

For normally distributed quantitative parameters the mean values were compared between study groups using independent sample t- test (2 groups) / ANOVA test (> 2 groups). By using Cross tabulation and comparing the percentages, the association between explanatory variables and categorical outcomes was assessed. Statistical significance was tested by using Chi-square test. Univariate Binary logistic regression analysis was performed to test the association between the explanatory variables and outcome variables. With 95% Confidence interval, unadjusted Odds ratio is presented. Variables with statistical significance in univariate analysis were used to compute multivariate regression analysis. Adjusted odds ratio along with their 95% CI is presented.

P value < 0.05 was considered statistically significant. Data was analysed by using coGuide software, V.1.01(BDSS Corp. Released 2020. coGuide Statistics software, Version 1.0, India: BDSS corp).

Result

In the end, there were a total of 224 participants included in the analysis.

Table 1

Descriptive analysis of parameters in the study population

Parameter

Frequency (n=224)

Percentage %

Birth weight (kg)

1.59 ± 0.36 (ranged 0.88, 3.20)

Gestational age(weeks)

32.44 ± 2.00

Gender

Male

116

51.79

Female

108

48.21

LBW

131

58.48

VLBW

82

36.61

ELBW

4

1.79

RDS

147

65.63

Sepsis

83

37.05

NNHB

36

16.07

CHD

14

6.25

Blood transfusion

36

16.07

TWIN

47

20.98

Maternal anaemia

112

50

PIH

60

26.79

GDM

11

4.91

Hypothyroid

10

4.46

Diagnosed ROP

Stage 1

9

4.02

Stage 2

21

9.38

Stage 3

9

4.02

No ROP

185

82.59

The mean birth weight was 1.59 ± 0.36, ranged between 0.88 to 3.20 in the study population. The mean gestational age was 32.44 ± 2, ranged between 24 to 41 in the study population. The majority of babies (51.79%) were male. Among the study population 65.63% babies had respiratory distress syndrome (RDS), 58.48% LBW, 50% maternal anaemia, 37.05% sepsis and 36.61% had VLBW. Only 39 (17.41%) babies were diagnosed with ROP. (Table 1)

Table 2

Comparison of diagnosis (ROP) with parameters in the study population (N=224)

Parameter

Diagnosis (ROP)

Odds ratio (95% CI)

P Value

Yes

No

Birth weight (kg)

1.44 ± 0.39

1.62 ± 0.35

0.17 (0.05-0.57)

0.004

Gestational age (weeks)

31.05 ± 2.51

32.72 ± 1.76

0.65 (0.53-0.79)

<0.001

Gender

Male (N = 116)

18 (15.52%)

98 (84.48%)

0.808(0.40-1.62)

0.550

Female (N = 108)

20 (18.52%)

88 (81.48%)

Baseline

LBW

Yes (N = 131)

13 (9.92%)

118 (90.08%)

0.3 (0.14-0.62)

0.001

No (N = 93)

25 (26.88%)

68 (73.12%)

Baseline

VLBW

Yes (N = 82)

22 (26.83%)

60 (73.17%)

2.88 (1.41-5.89)

0.004

No (N = 142)

16 (11.27%)

126 (88.73%)

Baseline

ELBW

Yes (N = 4)

2 (50.00%)

2 (50.00%)

5.11 (0.69-37.47)

0.108

No (N = 220)

36 (16.36%)

184 (83.64%)

Baseline

RDS

Yes (N = 147)

34 (23.13%)

113 (76.87%)

5.49 (1.87-16.12)

0.002

No (N = 77)

4 (5.19%)

73 (94.81%)

Baseline

Sepsis

Yes (N = 83)

23 (27.71%)

60 (72.29%)

3.22 (1.56-6.61)

0.001

No (N = 141)

15 (10.64%)

126 (89.36%)

Baseline

NNHB

Yes (N = 36)

7 (19.44%)

29 (80.56%)

1.22 (0.49-3.04)

0.666

No (N = 188)

31 (16.49%)

157 (83.51%)

Baseline

CHD

Yes (N = 14)

3 (21.43%)

11 (78.57%)

1.36 (0.36-5.14)

0.647

No (N = 210)

35 (16.67%)

175 (83.33%)

Baseline

Blood transfusion

Yes (N = 36)

10 (27.78%)

26 (72.22%)

2.19 (0.95-5.05)

0.064

No (N = 188)

28 (14.89%)

160 (85.11%)

Baseline

TWIN

Yes (N = 47)

11 (23.40%)

36 (76.60%)

1.69 (0.77-3.74)

0.189

No (N = 177)

27 (15.25%)

150 (84.75%)

Baseline

Maternal anaemia

Yes (N = 112)

21 (18.75%)

91 (81.25%)

1.29 (0.64-2.6)

0.477

No (N = 112)

17 (15.18%)

95 (84.82%)

Baseline

PIH

Yes (N = 60)

11 (18.33%)

49 (81.67%)

1.13 (0.52-2.46)

0.741

No (N = 164)

27 (16.46%)

137 (83.54%)

Baseline

GDM

Yes (N = 11)

3 (27.27%)

8 (72.73%)

1.91 (0.48-7.54)

0.358

No (N = 213)

35 (16.43%)

178 (83.57%)

Baseline

Hypothyroid

Yes (N = 10)

3 (30.00%)

7 (70.00%)

2.19 (0.54-8.89)

0.272

No (N = 214)

35 (16.36%)

179 (83.64%)

Baseline

For each unit increase in birth weight, the odds of occurrence of ROP were 0.17 times (0.05 to 0.57). There was a statistically significant link between the two factors (P value less than 0.05).

For each unit increase in gestational age, the odds of occurrence of ROP were 0.65 times (0.53 to 0.79). There was a statistically significant link between the two factors (P value less than 0.05).

Compared to no LBW, the odds of occurrence of ROP were 0.3 times (0.14 to 0.62). There was a statistically significant link between the two factors (P value less than 0.05).

Compared to no VLBW, the odds of occurrence of ROP were 2.88 times (1.41 to 5.89) and There was a statistically significant link between the two factors (P value less than 0.05).

Compared to no RDS, the odds of occurrence of ROP were 5.49 times (1.87 to 16.12) and There was a statistically significant link between the two factors (P value less than 0.05).

Compared to no Sepsis, the odds of occurrence of ROP were 3.22 times (1.56 to 6.61) and There was a statistically significant link between the two factors (P value less than 0.05). (Table 2)

Graph 1

Error bar chart of comparison of Birth weight (kg) between diagnosis (ROP) in the study population (N=224)

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Graph 2

Error bar chart of comparison of Gestational age (weeks) between diagnosis (ROP) in the study population (N=224)

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Graph 3

Stacked bar chart of comparison of LBW between diagnosis (ROP) in the study population (N=224)

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Graph 4

Cluster bar chart of comparison of VLBW between diagnosis (ROP) in the study population (N=224)

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Graph 5

Stacked bar chart of comparison of RDS between diagnosis (ROP) in the study population (N=224)

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Graph 6

Cluster bar chart of comparison of Sepsis between diagnosis (ROP) in the study population (N=224)

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Table 3

Comparison of diagnosis (ROP) with parameters in the study population (n=224)

Parameter

Adjusted odds ratio

95% CI (Lower-Upper)

P Value

Birth weight (kg)

0.449

(0.122 - 1.655)

0.229

Gestational age (weeks)

0.692

(0.561 - 0.854)

0.001

LBW

0.359

(0.079 – 1.624)

0.183

VLBW

1.258

(0.284 – 5.58)

0.762

RDS

5.129

(1.696 – 15.506)

0.004

Sepsis

2.833

(1.324 – 6.059)

0.007

Table 4

Comparison of parameter with stages of ROP in the study population (N=224)

Parameter

Diagnosis

ANOVA P Value

Stage 1 (N=9)

Stage 2 (N=21)

Stage 3 (N=9)

No ROP (N=185)

Mean ± SD

Mean ± SD

Mean ± SD

Mean ± SD

Birth weight (kg)

1.47 ± 0.36

1.46 ± 0.42

1.29 ± 0.34

1.63 ± 0.35

0.0092

Gestational age (weeks)

31.11 ± 2.32

31.05 ± 2.29

31.00 ± 3.28

32.73 ± 1.76

<0.001

The mean difference of birth weight (kg) and gestational age (weeks) across the diagnosis was found statistically significant (P value < 0.05). (Table 4)

Table 5

Comparison of risk factors with diagnosis in the study population (n=224)

Risk factors

Diagnosis (%)

Chi square value

P value

Stage 1

Stage 2

Stage 3

No ROP

LBW

Yes (n = 131)

3.05

5.3

1.53

90.08

13.22

0.0042

No (n = 93)

5.4

15.05

7.5

72.04

VLBW

Yes (n=82)

6.1

14.6

7.3

71.9

10.49

0.0149

No (N = 142)

2.8

6.3

2.1

88.7

ELBW

Yes (n = 4)

0

25

25

50

*

*

No (n= 220)

4.09

9.09

3.6

83.1

RDS

Yes (n= 147)

5.4

12.9

4.8

76.9

10.19

0.0170

No (n = 77)

1.3

2.6

2.6

93.5

Sepsis

Yes (n = 83)

7.2

15.7

6.02

71.08

12.38

0.0062

No (n= 141)

2.1

5.7

2.8

89.4

NNHB

Yes (n = 36)

0

11.1

8.3

80.6

*

*

No (n= 188)

4.8

9.04

3.2

82.9

CHD

Yes (n = 14)

7.1

14.3

7.14

71.4

1.34

0.7208

No (n= 210)

3.8

9.05

3.8

83.3

Blood transfusion

Yes (N = 36)

8.3

19.4

2.8

69.4

7.69

0.0529

No (N = 188)

3.2

7.5

4.3

85.1

TWIN

Yes (n = 47)

8.5

10.6

4.3

76.6

3.36

0.3399

No (n = 177)

2.8

9.04

3.9

84.2

Maternal anaemia

Yes (n = 112)

3.6

10.7

5.4

80.4

1.67

0.6425

No (n = 112)

4.5

8.04

2.7

84.8

PIH

Yes (n = 60)

3.3

8.3

6.7

81.7

1.63

0.6526

No (n = 164)

4.3

9.8

3.05

82.9

GDM

Yes (n = 11)

9.09

9.09

9.09

72.7

1.62

0.6550

No (n = 213)

3.7

9.4

3.8

83.1

Hypothyroid

Yes (n = 10)

0

30

0

70

*

*

No (n = 214)

4.2

8.4

4.21

83.2

[i] *No statistical test was applied- due to 0 subjects in the cells

Parameters LBW, VLBW, RDS, and Sepsis are statistically significant with development of ROP but there was no correlation with stages of ROP.

ELBW though found statistically insignificant 25% had stage 2 and 25% had stage 3 ROP.

NNHB is more associated with stage 2 and stage 3. No cases in stage 1 had NNHB.

The difference in the proportion of diagnosis between parameters (CHD, Blood transfusion, TWIN, Maternal anaemia, PIH and GDM) was statistically not significant (P value > 0.05).

Maternal risk factors like maternal anaemia, PIH were found to be more in stage 2 and 3 compared to stage 1. There is no difference seen in between stage 1, 2, 3 of ROP (Table 5).

Graph 7

Cluster bar chart of comparison of LBW between diagnosis in the study population (N=224)

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Graph 8

Cluster bar chart of comparison of VLBW between diagnosis in the study population (N=224)

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Graph 9

Cluster bar chart of comparison of RDS between diagnosis in the study population (N=224)

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Graph 10

Cluster bar chart of comparison of Sepsis between diagnosis in the study population (N=224)

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/801e0a0c-7d8e-4d5d-b73f-9249b683f78b/image/846703ae-4adc-40d2-a586-d72321bb44dc-uimage.png

Discussion

The prevalence of ROP in our study was 17.41%. Among which stage 1 accounts for 4.02%, stage 2 accounts for 9.38% and stage 3 accounts for 4.02%. In the past, newborns did not go through routine screenings and were diagnosed with stages IV and V of ROP at a later age. Nowadays, however, newborns go through screenings on time, are diagnosed early, and receive treatment on time, therefore we have not identified any babies with stages IV and V of ROP.

Kumar et al., has reported the incidence of any stage of ROP was 11.9%.5 Vinekar A, et al., reported the incidence of any stage ROP was 22.39%.9 The prevalence of ROP was found to be 17.68% in Rizvi SA et al.10 51.72% of those diagnosed with ROP had stage 1, 31.03% had stage 2, 10.35% had stage 3, and 6.90% of infants had APROP. No infants developed ROP to the stage 4 or 5 level during this study. According to the research done by Nikhil R et al.6 the prevalence of ROP is 19.2%. Among ROP newborns, 40% were in stage 1, 40% were in stage 2 & 20% were in stage 3. There was no much difference in incidence of ROP among male and female babies in our study which is similar in other studies.10, 11, 12

The mean gestational age was 32.44 ± 2 weeks in this study and mean birth weight was 1.59 ± 0.36kg which co-related with the study by Dwivedi A et al reported Mean gestational age (GA) of 33.28 ± 0.105 and mean birth weight (BW) was 1.63 ± 0.015.7 And a study by Kumar et al. which showed mean birth weight and gestation of the infants screened for ROP as1335±351 g and 31±2.2 wks, respectively.6 The study conducted by Rizvi SA et al. found that the average gestational age of the newborns who participated was 32.43 weeks (2.18 weeks), and their average birth weight was 1.55 kg (0.39 kg).10 According to the statistics, the occurrence of ROP rose when both BW and GA decreased.13

According to research done by Rizvi SA et al., having a low birth weight is an additional important risk factor for the development of ROP. 10 The CRYO ROP study, which was a multicenter trial using cryotherapy, came to the conclusion that a higher risk of developing ROP was associated with a lower birth weight.14

According to the research carried out by Nikhil R et al., a lower birth weight was strongly associated with an increased incidence of ROP.6 Extremely low birth weight newborns, defined as those weighing less than 1000 grams at birth, had an incidence of ROP that was 48.0%, whereas very low birth weight babies, defined as those weighing between 1001 and 1500 grams at birth, had a 6.97% incidence. The chance of having ROP increases in proportion to the earlier in gestation the baby is born.

ROP is a condition that can be caused by a number of different reasons. In a study, researchers speculated that factors such as short gestational age, LBW, sepsis, oxygen therapy, RDS, and blood transfusion might play a role in the development of ROP.15 According to the findings of a number of studies, the most significant risk factors for the development of ROP were a low birth weight and a low gestational age at the time of delivery.16, 17, 18

In Azami M et al., study, ROP risk factors include the prevalence of blood transfusion, septicemia, weight < 1000 g, weight < 1500 g, frequency of phototherapy, respiratory distress syndrome (RDS), low gestational age, however, preeclampsia significantly decreases the prevalence of ROP.12

The research conducted by Rizvi SA et al. found that there was a strong relationship between the development of ROP and gestational age, LBW, multiple gestation, a history of blood transfusion, respiratory distress syndrome, and infection.10 However, we found that there is no significant association between ROP and sex, neonatal jaundice.

Respiratory disorders such as respiratory distress syndrome (RDS) in neonates, if left untreated, can lead to advanced stages of ROP. RDS if present along with low gestational age, it is associated with aggressive posterior ROP. The infants may require oxygen therapy and mechanical ventilation in RDS, both of which are risk factors for developing ROP.4 In the present study, compared to no RDS, the odds of occurrence of ROP were 5.49 times (1.87 to 16.12) and There was a statistically significant link between the two factors (P value less than 0.05).

On univariate analysis, the researchers Rizvi SA et al. observed that multiple gestation was statistically significant.10 According to the research conducted by Nikhil R et al. out of 78 newborns, 44 were singletons and 34 were twins. ROP was found in 8 of the singletons (out of a total of 44). Only seven of the 34 twins were diagnosed with ROP.6 In studies that were similar to ours, the researchers did not find a significant association between many pregnancies and ROP.

According to the findings of Hakeem AH et al., there was a statistically significant connection between the occurrence of ROP and gestational age, the presence of infection, and the number of times blood transfusions were received. On the other hand, there was not a significant association between the occurrence of ROP and the sex of the child, the manner of delivery, the birth weight, RDS, congenital heart problems, or phototherapy.19 In our study, we found that there is statistically significant for sepsis. In our study, the difference in the proportion of diagnosis between factors like (CHD, Blood transfusion, Maternal anaemia, PIH and GDM) was statistically not significant as observed in many other studies.

Conclusion

In this study the prevalence of Retinopathy of prematurity is 17.41%. The risk factors such as LBW, VLBW, RDS, Sepsis are found to be clinically significant. Few risk factors which are insignificant in our study, are seen as significant risk factors in other studies. So each and every risk factor should be carefully evaluated and managed. Severity is seen correlating with independent riskfactors such as LBW, VLBW, RDS, Sepsis. Hence, multidisciplinary approach of treating prematurely born child would decrease the burden of childhood blindness globally.

Source of Funding

None.

Conflict of Interest

None.

References

1 

M Wadhwani P Vashist SS Singh V Gupta N Gupta R Saxena Prevalence and causes of childhood blindness in India: A systematic reviewIndian J Ophthalmol20206823115

2 

D Austeng KB Källen UW Ewald PG Jakobsson GE Holmström Incidence of retinopathy of prematurity in infants born before 27 weeks' gestation in SwedenArch Ophthalmol20091271013159

3 

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Article type

Original Article


Article page

232-240


Authors Details

Raheemunnisa Shaik, Chaitra M C*


Article History

Received : 29-12-2022

Accepted : 14-02-2023


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