• Nu S-Au Găsit Rezultate

View of Evaluation of Etiology and Treatment of Jaundice in Neonates Pursuit Phototherapy in a Tertiary Care Rreferral Hospital - A Prospective Cohort Study.

N/A
N/A
Protected

Academic year: 2022

Share "View of Evaluation of Etiology and Treatment of Jaundice in Neonates Pursuit Phototherapy in a Tertiary Care Rreferral Hospital - A Prospective Cohort Study."

Copied!
12
0
0

Text complet

(1)

Evaluation of Etiology and Treatment of Jaundice in Neonates Pursuit Phototherapy in a Tertiary Care Rreferral Hospital - A Prospective Cohort

Study.

T. Balasubramanian *, R. Monika, M. Ramsheed, M. Rafih, M. Salman and P. Balan

Al Shifa College of Pharmacy, Poonthavanam P.O., Kizhattur, Perinthalmanna, Malappuram Dt., Kerala 679325, India

ABSTRACT

Aim: Neonatal jaundice, affects one in two infants globally, is a major cause of hospital admissions during the neonatal period. The aim of this study was to recognize the causes of jaundice in neonate’s and to identify the efficacy of phototherapy.

Methods: A prospective cohort study was carried out among 495 new-borns with jaundice aged up to 7 days, both term and preterm in the department of neonatology for a period of 9 months. A data collection form was designed to collect the information. Neonatal and maternal assessments were done to assess the possible etiology of jaundice. Effectiveness of different treatments and phototherapy using different light sources was assessed.

Results: In our study as per the neonatal assessment, factors like low breast feeding (p=0.000), sepsis (p

=0.006), hypoxia (p =0.003) and Glucose 6 phosphate dehydronase (p=0.000) are found to highly significant to the incidence of jaundice. According to the maternal assessment, factors like maternal ethnicity (p=0.000), thyroid status (p =0.000), history of neonatal jaundice (p =0.000), use of oxytocin infusion (p =0.004) and bruising during delivery (p =0.000,) are highly significant. This study shows that the most effective treatment was found to be exchange transfusion. Phototherapy was given in 78 % of the neonates.

Conclusion: Our study results conclude that there is highly significant relationship between low breast feeding and occurrence of neonatal jaundice. We believe that highly linked factor ‘maternal history of neonatal jaundice’ will bring up new treatment, prevention trends and early diagnosis for neonatal jaundice.

Keywords: Neonatal jaundice, Etiologies, Treatment options, Phototherapy 1. Introduction

Neonatal Jaundice is observed during the first weeks of life in approximately 60% of term infants and 80% of preterm infants.1, 2 An imbalance between bilirubin production and conjugation is the main mechanism of jaundice, which leads to an increase in bilirubin levels. This imbalance often occurs due to the immature liver and the rapid breakdown of red blood cells, which may be involved with several factors.3, 4 Nevertheless, diagnosis of new born jaundice and its management will play an important role in the health of new born.5 Most new born babies have physiological jaundice. It is most noticeable when the baby is 2-4 days old. 6 Identification of predisposing factors in the management of the disease is important. Thus present study aims to recognize the causes of jaundice in neonate’s pursuit phototherapy, the factors that place an infant’s at risk for developing hyperbilirubinemia and to identify the efficacy of phototherapy.

2. Material and methods 2.1 Study design

A Prospective observational cohort study was carried out from 1st November 2019 to 1st May 2020 in the department of neonatology, Kims Al Shifa multispecialty hospital, Kerala for a period of 9 months with the

(2)

aim to determine the Etiology and treatment of jaundice in neonates pursuits phototherapy. The study was approved by the ethics committee of Kim’s Al Shifa hospital (KAS/ADMN/AC/EC/154/216).

2.2 Procedure

A total of 495 new-born patients in Neonatal department diagnosed with jaundice were selected based on inclusion and exclusion criteria. The nature, type or intention of the study was explained to the patients by direct patient interaction. Participants (parents) were then given time to decide whether or not to participate. If they decided to participate, written consent was obtained. A data collection form was designed to collect the information necessary for the study. The form consists of the details: Patient demographics, Neonatal assessment, Feeding pattern, Maternal assessment and Laboratory results. Sources of Data were Patients case record, Patient’s prescription and Direct interactions with physician. Demographic profiles, details of disease and medications were collected from patient’s case records. The severity of symptoms of Treatments measured using assessment of severity of symptom.ms threshold table. Careful clinical neonatal and maternal assessments were done to assess the possible etiology of jaundice. Effectiveness of the different treatment options, and phototherapy using different light sources, colours and emission spectrum was also evaluated in given population.

2.3 Statistical Analysis

The collected data for the study were compiled and analysed using SPSS version19. Chi-square test, student t test were used wherever found suitable and necessary interpretations were made. P value <0.05 was considered as significant.

3. Results

In our study as per the neonatal assessment many factors are significantly linked to the occurrence of jaundice and some factors are not. Factors like low breast feeding (26.5%, p =0.000, df=1), sepsis (7.8%, p =0.006, df=1), hypoxia (9.3%, p =0.003, df=1), G6PD (13.5%, p =0.000, df=1) and blood group incompatibilities (14.7%, p=0.000,df=1) are found to highly significant to the incidence of jaundice, and factors like gestational age (93.7%, p =0.015, df= 1), and cephalohematoma (4.4%, p=0.043, df=1) are significantly linked to the occurrence of neonatal jaundice. It is also observed that factors like UTI (1.2 %. p =0.298, df=1), gender (82.2%, p =0.298, df=1), Gilbert syndrome (6%, p =0.463, df=1), Dubin-Johnson syndrome (4%, p =0.549, df=1) are not significantly associated with neonatal jaundice (Figure 1, Table 1).

According to the maternal assessment, factors like maternal ethnicity (62.2%, p =0.000, df=2), thyroid status (8.1%, p=0.000, df=1),history of neonatal jaundice (71.1%, p =0.000, df=1), use of oxytocin infusion (8.7%, p =0.004, df=1), mode of delivery (61.4%), bruising during delivery (14.7%) and history of anemia (1.4%) are highly significant (p =0.000) to the occurrence of neonatal jaundice and factors like Maternal Hb count (2.4%, p =0.138, df=1), platelet count (2%, p =0.177, df=1), reticulocyte count (2%, p =0.672, df=1), maternal age (4%, p =0.549, df=1), gestational DM (11.1%, p =0.352, df=1), Number of delivery (3.2%, p

=0.086, df=1), delayed cord cutting (1.6%, p =228, df=1), History of abortion(2%, p =0.672, df=1) and history of thalassemia (1.8%, p =0.298, df=1) are not linked to the incidence of neonatal jaundice (Figure 2, Table 1).

Our study shows that the most effective treatment was found to be exchange transfusion, then IV immunoglobulin, phototherapy, breast feed correction, and antibiotic therapy in the same order (Figure. 3, Table 2). In phototherapy the most effective light source was found to be LED, then FT and Halo spot light [Fig. 4, Table 2]. The most effective colour ( used in phototherapy light) was found to be green than blue as per our study (Figure 5, Table 3), and we are not able to find the effective emission spectrum used in phototherapy as all of them receive the same emission spectrum (350-550nm) and nothing to be compared with (Table 2, and 3).

(3)

Item Category

Before treatment (micromol / liter in infants aged 96 hours or more )

Total

Pearson chi square test

Pvalue df

>350 >450 1. Gestational Age

34 to 37 weeks 31 (6.3%) 0 (0%)

495 5.906a 0.015 1 38-42 weeks 389

(93.7%) 75 (100%)

2.Maternal ethnicity

Black 109 (26%) 0 (0%)

495 53.667a 0 2

White 78 (18.6%) 0 (0%)

Asian 233

(55.5%) 75 (100%)

3. Gender Male 344

(81.9%) 63 (84%)

495 .191a 0.662 1 Female 76 (18.1%) 12 (16%)

4. Term

Term babies 131 (31.2%)

47 (62.7%)

495 27.378a 0 1

Pre Term babies 289 (68.8%)

28 (37.3%) 5. Breast feeding

pattern

Low breast feeding

131

(31.2%) 0 (0%)

495 31.812a 0 1

Normal breast feeding

289

(68.8%) 75 (100%) 6.

Cephalohematoma

with

cephalohematoma 22 (5.2%) 0 (0%)

495 4.111a 0.043 1 without

cephalohematoma 398

(94.8%) 75 (100%) 7. Sepsis

With Sepsis 39 (9.3%) 0 (0%)

495 7.560a 0.006 1 Without Sepsis 381

(90.7%) 75 (100%) 8. Hypoxia With Hypoxia 46 (11%) 0 (0%)

495 9.056a 0.003 1 Without Hypoxia 374 (89%) 75 (100%)

9. G6PD With G6PD 67 (16%) 0 (0%)

495 13.837a 0 1

Without G6PD 353 (84%) 75 (100%) 10. Gillbert

syndrome

With Gillbert

syndrome 3 (0.7%) 0 (0%)

495 0.539a 0.463 1 Without Gillbert

syndrome

417

(99.3%) 75 (100%)

11. Dubin johnson syndrome

With Dubin johnson

syndrome

2 (0.5%) 0 (0%)

495 0.359a 0.549 1 without Dubin

johnson syndrome

418

(99.5%) 75 (100%) 12. Blood group

incompatibility

With Blood

group 0 (0%) 73

(97.3%) 495 479.517a 0 1

(4)

incompatibility Without Blood group

incompatibility

420 (100%) 2 (2.7%)

13.Urinary tract infection

With UTI 6 (1.4%) 0 (0%)

495 1.085a 0.298 1 Without UTI 414

(98.6%) 75 (100%) 14. High Hb count

High Hb 12 (2.9%) 0 (0%)

495 2.196a 0.138 1

Normal Hb 408

(97.1%) 75 (100%) 15. Platelet count

High Platelet

count 10 (2.4%) 0 (0%)

495 1.823a 0.177 1

Normal 410

(97.6%) 75 (100%) 16. MCV

Abnormal 2 (0.5%) 0 (0%)

495 0.359a 0.549 1

Normal 418

(99.5%) 75 (100%) 17. Hct

High 10 (2.4%) 0 (0%)

495 1.823a 0.177 1

Normal 410

(97.6%) 75 (100%) 18. WBC

High 10 (2.4%) 0 (0%)

495 1.823a 0.177 1

Normal 410

(97.6%) 75 (100%) 19. Reticulocyte

count

Abnormal 1 (0.2%) 0 (0%)

495 0.179a 0.672 1

Normal 419

(99.8%) 75 (100%) 20. Maternal weight

Abnormal 2 (0.5%) 0 (0%)

495 0.359a 0.549 1

Normal 418

(99.5%) 75 (100%) 21. Maternal age

Abnormal 2 (0.5%) 0 (0%)

495 0.359a 0.549 1

Normal 418

(99.5%) 75 (100%) 22. Gestational

diabetesmellitus

With Gestational

diabetesmellitus 49 (11.7%) 6 (8%)

495 0.866a 0.351 1 Without

Gestational DM

371

(88.3%) 96 (92%) 23. Maternal thyroid

status

Abnormal 0 (0%) 40

(53.3%)

495 243.692a 0 1

Normal 420 (100%) 35

(46.7%) 24. Maternal H/o of

neonatal jaundice

had jaundice 277 (66%) 75 (100%)

495 35.910a 0 1

Do not had

jaundice 143 (34%) 0 (100%)

25. Number of Non primi mother 404 75 (100%) 495 2.953a 0.086 1

(5)

Table 1-Cross tabulation of different etiological factors and bilirubin level before treatment

delivery (96.2%)

primi mother 16 (3.8%) 0 (0%) 26. Use of oxytocin

infusion

Those use 43 (10.2%) 0 (0%)

495 8.409a 0.004 1 Those not use 377

(89.8%) 75 (100%) 27. Mode of delivery

Normal 284

(67.6%)

20 (26.7%)

495 45.037a 0 1

Caesarean 136

(32.4%)

55 (38.6%) 28. Bruising during

delivery

Suffered 73 (17.4%) 0 (0%)

495 15.291a 0 1

Not suffered 347

(82.6%) 75 (100%) 29. Delayed cord

cutting

Delayed cutting 8 (1.9%) 0 (0%)

495 1.452a 0.228 1 Normal cutting 412

(98.1%) 75 (100%) 30. PROM

Had rupture 1 (0.2%) 0 (0%)

495 0.179a 0.67 1 Had no rupture 419

(99.8%) 75 (100%) 31. History of

abortion

Had history of

abortion 1 (0.2%) 0 (0%)

495 0.179a 0.67 1 No history of

abortion

419

(99.8%) 75 (100%) 32. Drug taken by

mother during pregnancy / delivery

Taken 141

(33.6%) 0 (0%)

495 35.207a 0 1

Not taken 279

(66.4%) 75 (100%) 33. Maternal history

anaemia

Had history 0 (0%) 7 (9.3%)

495 39.762a 0 1

Had no history 420 (100%) 68 (90.7%) 34. Maternal history

of thalassemia

Had history 6 (1.4%) 0 (0%)

495 1.085a 0.29 1 Had no history 414

(98.6%) 75 (100%)

Types of

Therapy Number

Serum Bilirubin

Mean Std deviation

Mean differenc e

Std devia tion

P value

t value

Confidence interval level

Lowe r limit

Upper limit 1. Breast feed

correction 131

Before

treatment 396.7 28.59

291.49 39.02 0.00 85.48 284.7

5 298.24

after

treatment 105.2 22.23 2 Antibiotic

therapy 45

Before

treatment 365.4 11.66

287.6 14.44 0.00 133.5 283.2

5 291.94

after

treatment 77.8 8.1

(6)

Table 2 -Effectiveness of different treatment options.

Table 3- Descriptive statistics for light source used in phototherapy.

Parameter Number Mean Std.

Deviation Std.

Error

95% Confidence Interval for Mean

Min. Max.

Lower Bound

Upper Bound Serum

bilirubin (Before)

LED 180 414 54.68 4.07 405.99 422.07 350 548

FT 180 365 9.71 0.72 363.61 366.47 350 399

HALO SPOT LIGHT 18 364.3 12.46 2.93 358.07 370.47 350 389

Total 378 388.3 45.53 2.34 383.73 392.94 350 548

3 Phototherapy 378

Before

treatment 387.9 45.26

295.62 57.31 0.00 100 289.8

1 301.43

after

treatment 92.27 39.68 4 Exchange

transfusion 73

Before

treatment 474.3 16.87

379.02 50.54 0.00 64.07 367.2

3 390.82

after

treatment 95.26 58.09

5. IV.

Immunoglobulin 10

Before

treatment 488.3 31.55

335.7 115.6 0.00 9.18 253 418.39 after

treatment 152.6 140.33 6. Phototherapy

using LED 180

Before

treatment 414 54.68

327.58 57.05 0.00 77.03 319.1

9 335.98

after

treatment 86.44 38.29 7. Phototherapy

using FT 180

Before

treatment 365 9.71

270.97 40.52 0.00 89.71 265.0

2 276.93

after

treatment 94.06 40.407 8. Phototherapy

using Halo spot light

18

Before

treatment 364.3 12.46

231.83 12.77 0.00 76.96 225.4

7 238.18

after

treatment 132.4 4.04 9.Phototherapy

using blue light 310

Before

treatment 369.9 24.32

275.54 39.72 0.00 122.1 271.1 279.98 after

treatment 94.31 42.81 10.

Phototherapy using green light

68

Before

treatment 472.6 12.64

389.63 22.01 0.00 146 384.3 394.96 after

treatment 82.92 15.95

(7)

Serum bilirubin (After)

LED 180 86.44 38.29 2.85 80.81 92.07 67 436

FT 180 94.06 40.4 3.01 88.12 100 64 239

HALO SPOT LIGHT 18 132.4 4.047 0.95 130.43 134.45 125 137

Total 378 92.26 39.58 2.03 88.26 96.26 64 436

Differenc

e in

Serum Bilirubin

LED 180 327.6 57.05 4.25 319.19 335.98 94 426

FT 180 271 40.52 3.02 265.01 276.93 143 324

HALO SPOT LIGHT 18 231.8 12.77 3.01 225.47 238.18 213 259

Total 378 296.1 57.48 2.95 290.25 301.88 94 426

0 100 200 300 400 500 600

factors

Figure 1- Neonatal Assessment.

(8)

Figure 2 - Maternal Assessments.

0 50 100 150 200 250 300 350

400 mean…

Figure 3 -Effectiveness of different treatments on given population.

(9)

0 50 100 150 200 250 300 350

LED(no:180) FT(no:180) Halo spot light(18)

mean difference

Figure 4 -Effectiveness of light source used in phototherapy

0 100 200 300 400

Blue color(310) green color(68)

mean difference

Figure 5- Effectiveness of light colour used in phototherapy.

4. Discussion

In our study, 93.7 % were having gestational age between 38-42 weeks and 6.3% were between 34-37 weeks.

Study conducted by Sarici SU et al has described that risk of hyperbilirubinemia significantly increases with decreasing gestational age [7,8]. Our study results conclude that there is highly significant relationship between low breast feeding and occurrence of neonatal jaundice (p =0.000, df=1). A study conducted by Ying-Juang Chen et al reveals that increased breast feeding and shorter hospital stays were suggested as contributing factors to the significant rate of hyperbilirubinemia and the reemergence of kernicterus. 9, 10 Our study results shows that cephalohematoma (p =0.043, df=1), sepsis (p =0.006, df=1) and hypoxia (p =0.003, df=1) are highly significant with the occurrence of neonatal jaundice. In our study G6PD is found in 13.5% of neonates, which means G6PD is a leading cause of neonatal jaundice. A study conducted by Ching-shan

(10)

Huang et al describes that Glucose-6-phosphate dehydrogenase is the most common human genetic enzymopathy, which is closely associated with neonatal hyperbilirubinemia.11 In our study 6% of newborn have Gilbert syndrome (GS). A study conducted by John D. Bancroft et al proves that the newborn infants with the molecular markers for Gilbert syndrome have an accelerated increase in neonatal jaundice during the first 2 days of life.12 Our study describes that blood group incompatibility was highly significant with the occurrence of neonatal jaundice especially ABO incompatibility (p =0.000,df=1). Our research describes that maternal thyroid status was highly significant with the occurrence of neonatal jaundice (p =0.000, DF=1). In our study 71.1% had a history of neonatal jaundice. To the best of our knowledge, this is the first study focus on the factor maternal history of neonatal jaundice and found a positive relationship like this. Our study describes that use of oxytocin during delivery was highly significant with the occurrence of neonatal jaundice (p =0.004, df=1). Oxytocin also increases RBC lysis while passing through the vessels, thus leading to hyperbilirubinemia.13,14,15,16

Out of the total of 495, 304 baby born by normal delivery and rest of 191 born by cesarean. Our study concludes that baby born by normal delivery was highly significant with the occurrence of neonatal jaundice (p =0.000,df=1). A study conducted by Ehsan Garosi et al shows that the mean total bilirubin levels was significantly higher in newborns delivered vaginally compared to cases born by cesarean section [15].Out of the total 495, 14.7% neonates had suffered bruising during their delivery. This results shows that bruising during delivery is a source of development of jaundice. A study conducted by S.W.D’souza et al describes that, in the neonatal period, babies had excessive scalp bruising surrounding an area of skin damage and subcutaneous necrosis where the spiral electrode had been applied.17

We observed that there is highly significant correlation between steroid drug taken by mother before or during pregnancy and neonatal jaundice (p =0.000, df=1). Our study shows that maternal history of anaemia was highly significant with the occurrence of neonatal jaundice (p =0.000, df=1).Study conducted by Audrey K. Brown have a different opinion that infants born to women with sickle cell disease are at greater risk of neonatal jaundice.18 Breast feed correction is given for those neonates who develop jaundice as a result of abnormal feeding patter or low breast feeding, that is low breast feeding is found in 26.5% of neonates. The one of the main limitation, in finding the effectiveness of different treatment is that same individual receives multiple therapies and the exposure group is different in receiving different treatments. Phototherapy is a safe, effective method for decreasing or preventing the rise of serum unconjugated bilirubin levels and reduces the need for exchange transfusion in neonates. Phototherapy was given in 378 neonates. A study conducted by Michael W et al has proved that phototherapy was 85% effective in preventing TSB≥25mg/Dl.19

5. Conclusion

Our study results conclude that there is highly significant relationship between low breast feeding and occurrence of neonatal jaundice. So, we suggest the 10 steps put forward by WHO to successful breast feeding. To the best of our knowledge, this is the first study focus on the factor maternal history of neonatal jaundice and found a positive relationship like this. We believe that highly linked factor ‘maternal history of neonatal jaundice’ will bring up new treatment, prevention trends and early diagnosis for neonatal jaundice.

Our study concludes that the most effective treatment was found to be exchange transfusion, then IV immunoglobulin, phototherapy, breast feed correction and antibiotic therapy in the same order. In phototherapy the most effective light source was found to be LED, then FT and Halo spot light. Due to high incidence of G6PD deficiency, it is recommended to introduce qualitative test of this enzyme as a routine laboratory investigation for all icteric neonates so as to get an early diagnosis and to avoid complications.

Conflicts of interest

The authors declare no relevant conflicts of interest.

(11)

Acknowledgements

We acknowledge the valuable comments and suggestions by Dr Moideen Babu, Consultant Neonatologist, during this project. The authors would like to thank the staff, Department of Nephrology, Al Shifa Hospital, and Department of Pharmacy Practice, Al Shifa College of pharmacy for supporting this work.

Funding Source

Funding for the research project was provided by Al ShifaCollege of Pharmacy, Shifa Institute of Medical Sciences, Shifa Medicare Trust, Perinthalmanna, Kerala.

REFERENCES

1. Ullah S, Rahman K, Hedayati M. Hyperbilirubinemia in Neonates: Types, Causes, Clinical Examinations, Preventive Measures and Treatments: A Narrative Review Article. Iran J Public Healt. 2016;45(5):558–568. PMID: 27398328; PMCID: PMC4935699.

2. Kliegman RM, Behrnan RE, Jensen HB, Stranton B. Nelson Textbook of Pediatrics: Jaundice and huperbilirubinemia in the newborn. 19th ed. Philadelphia: Saunders; 2012.

3. IAP-NNF National Task Force 2006 on guidelines for level II neonatal care. IAP-NNF guidelines 2006 on level II neonatal care. Jaundice in newborn; p. 187–210

4. Sayed YM, Anahita I, Golnar S, et al. Risk Factors Associated with Neonatal Jaundice: A Cross- Sectional Study From Iran. Open Access Maced J Med Sci. 2018;6(8):1387– 1393.

PMCID: PMC6108787 DOI: 10.3889/oamjms.2018.319

5. Fanaroff AA, Martin RJ. Neonatal-perinatal medicine: diseases of the fetus and infant. Arch Dis Child Fetal Neonatal Ed 2006:91(6); F468.

6. Kleigman R, Bonita S, Richard E, Joseph St. Nelson text book of paediatrics: Translation by Nurozi E, Mohammadpor M. and Fallah R. 3rd ed. Tehran: Andisheh Rafi; 2007.

7. Newman TB, Xiong B, Gonzales VM, et al. Prediction and prevention of extreme neonatal hyperbilirubinemia in a mature health maintenance organization. Arch Pediatr Adolesc Me.

2000;154(11):1140–1147.

8. Sarici SU, Serdae MA, Korkmaz A, et.al. Incidence, course and prediction of hyperbilirubinemia in near-term and term newborns. Pediatrics. 2004;113(4):775–780.

9. Ying-Juang C, Wei-Chuan C, Chung-Ming C. Risk factors for hyperbilirubinemia in breastfed term neonates. Eur J Pediatr. 2012: 171(1); 167–171. 10.1007/s00431-011-1512-8

10. Iyer NP, Srinivasan R, Evans K, et al. Impact of an early weighing policy on neonatal hypernatremic dehydration and breast feeding. Arch Dis Child. 2008; 93:297–-299.

11. Chin S H, Kun L H, May JH, et al. Neonatal Jaundice and Molecular Mutations in Glucose-6- Phosphate Dehydrogenase Deficient Newborn Infants. Am. J. Hematol. 1996;51:19–25.

12. John D, Glenn R, Bill K. Gilbert syndrome accelerates development of neonatal jaundice. J Pediatr. 1998;132:656-60.

13. Litvinov RI, Weisel JW. Role of red blood cells in haemostasis and thrombosis. ISBT science series. 2017;12(1):;176–183. https://doi.org/10.1111/voxs.12331

14. Chang PF, Lin YC, Liu K, et al. Risk of hyperbilirubinemia in breast fed infants. J Pediatr.

2011;159(4):561–565.

15. Hannam S, McDonnell M, Rennie JM. Ivestigation of prolonged neonatal jaundice. Acta Pediatr.

2000; 89(6):;694–697.

16. Mereena G, Betsy T, Sreenivasan VK . Incidence of Hyperbilirubinemia in Neonates of Parturients Undergoing Augmentation of Labor With Oxytocin: A Prospective Cohort Study.

(12)

Indian J Obstet Gynecol. 2019;7 (4) (Part-II): 579–593. DOI:

http://dx.doi.org/10.21088/ijog.2321.1636.7419.3

17. Souza SWD, Patricia B, Macfarlane T. Fetal scalp damage and neonatal jaundice: a risk of routine fetal scalp electrode monitoring. J Obstet Gynaecol. 1982; 2(3):161–164.

18. Audrey KB, Lynn AS, Charles HP, et al. The Influence of infant and maternal sickle cell Disease on Birth Outcome and Neonatal Course. Arch Pediatr Adolesc Med. 1994;148:1156-1162

19. Michael WK, Gabriel JE, Soora W, et al. Risk Factors for Severe Hyperbilirubinemia among infants with Borderline Levelss: A Nested Case–Control Study. J Pediatr. 2008; 153(2): 234–

240.

Referințe

DOCUMENTE SIMILARE

Our results demonstrate that there is a significant transmission of shocks and volatility between the Dow Jones stock index and bond indices of the emerging

A study over determinants of Jordanian Islamic banks‟ profitability revealed that there are significant and positive relationship between Return on Assets and Provision

There is another reason that explains the significant increase in the weights of hot and cold carcasses, due to the presence of a highly significant positive correlation

The finding of the current study showed that there was as a highly statistically significant difference between mean score of nursing students’ knowledge

Conclusion: Finally we concluded that, Major factors associated with stillbirths were hypertension, antepartum hemorrhage, IUGR in our study although these are

In conclusion, the findings of our study concluded that the DWIBS sequence can has a positive effect on the characterization of the suspicious breast lesions and

The findings of the study proved that there is a highly significant effectiveness of the module on knowledge regarding relaxation technique used in bronchial

Purpose: The purpose of the study was to look for the clinical profile &amp; complications in babies born to diabetic mothers and to compare various complications seen in babies