Literature DB >> 32021551

Risk Factors of Birth Asphyxia Among Neonates Born in Public Hospitals of Tigray, Northern Ethiopia.

Yodit Zewdie Berhe1, Abel Gidey Kebedom2, Letekirstos Gebregziabher1, Natnael Etsay Assefa3, Lidya Zewdie Berhe4, Sumeya Ahmed Mohammednur1, Tsegay Wellay1, Gebregziabher Berihu1, Alemtsehay Tewele Welearegay1, Mengistu Mitiku1, Hareya Gebremedhin Teka1.   

Abstract

INTRODUCTION: Birth asphyxia is defined by the World Health Organization as not initiating and maintaining default breathing at birth. Approximately 24% of neonatal deaths occurred annually worldwide due to birth asphyxia. About 3% of the 120 million neonates born each year acquire asphyxia in third world countries. Long-term survivors may experience cerebral palsy, delay in growth, vision, hearing and intellectual deficiency, epilepsy, difficulties with communication and behavior. Thus, this study aims to determine the risk factors of birth asphyxia among neonates who were delivered at public hospitals of Tigray, Ethiopia.
MATERIALS AND METHODS: Hospital-based unmatched case-control study design was implemented on 390 samples from January to February 2018. Data were collected by interviews using a structured questionnaire and checklist. The collected data were coded and entered using EpiData version 3.1 statistical software and transported to statistical package for social science (SPSS) version 20 software for analysis. Cross-tabulation and odds ratio with 95% confidence interval were computed. Bivariate logistic regression and multivariable logistic regression were done. Multicollinearity was checked. Goodness of fit was checked by the Hosmer-Lemeshow test.
RESULTS: A total of 260 controls and 130 cases were enrolled in the study. Multivariable logistic regression showed that Primi-parity [AOR 5.5 (CI: 2.5, 12.3)], pre-eclamcia/pregnancy-induced hypertension [AOR12.4 (CI: 4.17, 37.15)], post-term pregnancy [AOR 2.73 (CI: 1.00, 7.55)] meconium-stained liquor [AOR 29.2 (CI: 12.0, 71.1)], cord entangled [AOR 5.67 (CI: 1.66,19.3)] and non-vertex presentation [AOR 5.49 (CI: 2.20,13.7)] were found to be risk factors for perinatal birth asphyxia. CONCLUSION AND RECOMMENDATIONS: Intrapartum factors and neonatal factors in the index pregnancy have an association with perinatal birth asphyxia. The research finding suggests effective antenatal care follow-up and follow-up of labor progress using partograph after labor initiation.
© 2020 Berhe et al.

Entities:  

Keywords:  Tigray; antepartum; intrapartum; neonates; perinatal asphyxia

Year:  2020        PMID: 32021551      PMCID: PMC6955612          DOI: 10.2147/PHMT.S231290

Source DB:  PubMed          Journal:  Pediatric Health Med Ther        ISSN: 1179-9927


Introduction

Birth asphyxia is one of the leading causes of newborn death.1,2 Many developing countries have experienced significant declines in deaths below five, though neonatal deaths, with an estimated 3 million annual neonatal deaths, remained stagnant.3,4 According to the Millennium Development Goal (MDG) 4, which has not been met due to the lack of significant reductions in neonatal mortality, neonatal death has gained prominence on the international child survival policy agenda over the past decade. It was projected that a two-thirds reduction in child mortality by 2015, as mandated by the MDG, requires a reduction of at least 50% in neonatal mortality.5 The World Health Organization (WHO) defines birth asphyxia as a failure to trigger and sustain breathing automatically at birth.6 It is a disease that results in hypoxemia (lack of oxygen) and hypercapnia (accumulation of carbon dioxide) when there is a loss of blood-gas exchange.7 High maternal and perinatal mortality occurs in sub-Saharan Africa. Ethiopia is one of the high perinatal mortality countries in Sub-Sahara, accounting for 4% of the world’s perinatal mortality.8 Birth asphyxia in this area is the leading cause of early neonatal death due to poor obstetric care.9 Neonatal mortality rates in Ethiopia were 29 per 1000 live births according to the 2016 Ethiopian Demographic Health Survey (EDHS). Neonatal mortality in Tigray (where this study is conducted) is 34 per 1,000 live births.10 This study was conducted to identify factors that lead to birth asphyxia in the study area. Identification of risk factors and early initiation of therapy thereby can decrease neonatal mortality and morbidity.

Materials and Methods

Study Setting and Period

The study was conducted from March to June, 2018, at four public general and tertiary hospitals of Tigray. Tigray Region is the northernmost of the nine regions of Ethiopia and its capital is Mek’ele. Tigray is bordered by north by Eritrea, west by Sudan, east by the Afar region and south and southwest by the Amhara region. The region is divided administratively into 7 zones including Mekelle, a special zone. It has 52 Woredas (34 rural and 18 urban areas) and 799 Kebelles/Tabias (722 rural and 77 Urban areas). The region has an estimated population of 5.055.999 based on the 2007 census conducted by the Central Statistical Agency of Ethiopia (CSA). Public health services are provided in Tigray through one specialist hospital, one referral hospital, 15 general hospitals, 22 primary hospitals, 213 health centers and 712 police posts. Through investing in primary health care units or PHCU (health post, health center, and primary hospital) services, the area has demonstrated its focus on disease prevention and health promotion, achieving primary health care coverage of 91.7% on average. More than 500 private health facilities, including two general hospitals, offer additional curative care.

Study Design

Hospital-based unmatched case-control study.

Study Population

All neonates with their mothers who were born at the selected hospitals during the data collection period were study population. Cases were neonates who were diagnosed with birth asphyxia by the attending physician. Diagnostic criteria for asphyxia were no breathing, gasping, cyanosis and Breathing with difficulty APGAR score of <7 at 1 min. Controls were neonates who were born normal (without asphyxia) confirmed by the attending physician who cry, breath without difficulty and no gasping APGAR score ≥7 at 1 min. An exclusion criterion was newborns who were born with congenital malformation incompatible with life.

Sample Size and Sampling Technique

The sample size was calculated using EPI INFO version 3.5.1 StatCalc statistical software using the Double population formula for unmatched case-control study by considering the proportion of non-vertex presentation in control group 82.9% with OR 2.96 from a study done at Pakistan. With assumption of 95% CI, 80% power, control to case ratio 2:1 the sample size will be 371. By adding 5% non-response rate, the total sample size becomes 390 (260 controls and 130 cases). Hospitals were selected randomly and the sample size was allocated proportionally based on a case flow.

Data Quality Control

Structured questionnaire and checklists were used. Data collectors were trained. Data collection was supervised. The questionnaire was written in English and translated into Tigrigna, which is the study area’s local language. Language experts then translated it back to English to see its consistency. Senior researchers updated the questionnaire and suggestions implemented accordingly. The tool has also been tested in the hospital with similar status.

Data Management and Analysis

The collected data were coded, entered and cleaned using EpiData version 3.1 statistical software. Then, it was transported to SPSS version 20 statistical software for analysis. Tables and text were used for descriptive statistics. Frequency and percentage were used for the categorical variable. Median and interquartile range was computed. Cross-tabulation was performed to see the distribution of the independent variables in relation to the dependent variable. Odds ratio with 95% confidence interval was used to measure the strength of association. The bivariate logistic regression model was used to see the association between the independent variables and the dependent variable. Variables with a P< 0.25 at the bivariate regression were exported to the multivariable logistic regression model to control confounding factors and to see the independent predictor of Asphyxia. Statistical significance was declared at P< 0.05. Goodness of fit will be checked by Hosmer–Lemeshowthe test. Multicollinearity was checked.

Ethical Considerations

Ethical approval was received from Mekelle University College of Health Sciences institutional review board. After briefing on the study’s intent and protocol, mothers were asked if they and their newborn were willing to participate and written and signed consent was obtained. Data collectors respected their right not to participate, not to answer any or all of the questions and to withdraw from the interview whenever they wanted. Participants were told that the information obtained from them would be kept confidential.

Results

Socio-Demographic Characteristics

A total of 130 asphyxiated neonates with their mothers and 260 non-asphyxiated neonates with their mothers were included. The median age of the mothers for the case and control was 25 (IQR=8) and 26 (IQR=7) respectively. Slightly more than two-thirds of cases 90 (69.2%) had no formal education as compared to about two-thirds of controls 170 (65.4%) were more than secondary or higher education. Regarding mothers' occupation, 46 (35%) of cases and 123 (47.3%) of controls were housewives. The proportion of participants earning <1000 Ethiopian birr was higher in the cases than controls (Table 1).
Table 1

Socio-Demographic Characteristics of Cases and Controls Attending at Public Hospitals of Tigray, Ethiopia 2017/2018

VariablesCategoryCase N=130(%)Control N=260(%)Total N=390(%)
Age18–1955(42.3)99(38.1)154(39.5)
20–3437(28.5)81(31.2)118(30.3)
35–4938(29.2)80(30.8)118(30.3)
Educational levelNo formal education90(69.2)24(9.2)114(29.2)
Primary education12(9.2)66(25.4)78(20.0)
Secondary and above28(21.5)170(65.4)198(50.8)
Mothers' occupationHousewife46(35.4)123(47.3)169(43.3)
Merchant17(13.1)30(11.5)47(12.1)
Daily laborer5(3.8)2(0.8)7(1.8)
Employee21(16.2)64(24.6)85(21.8)
Farmer32(24.6)28(10.8)60(15.4)
Student9(6.9)13(5.0)22(5.6)
Place of residencyUrban90(69.2)214(82.3)304(77.9)
Rural40(30.8)46(17.7)86(22.1)
Marital statusMarried123(94.6)246(94.6)369(94.6)
Single7(5.4)12(4.6)19(4.9)
Divorced0(0.0)2(0.8)2(0.5)
EthnicityTigray126(96.9)247(95.0)373(95.6)
Non-Tigray4(3.1)13(5.0)17(4.4)
Partner educational levelNo formal education30(23.1)31(11.9)61(15.6)
Primary education25(19.2)42(16.2)67(17.2)
Secondary and above75(57.7)187(71.9)262(67.2)
Occupation of partnerUnemployed9(6.9)9(3.5)18(4.6)
Merchant20(15.4)53(20.4)73(18.7)
Daily laborer16(12.3)27(10.4)43(11.0)
Employee49(37.7)136(52.3)185(47.4)
Farmer31(23.8)29(11.2)60(15.4)
Student5(3.8)6(2.3)11(2.8)
Monthly income*<100049(37.7)49(18.8)98(25.1)
1001–200033(25.4)79(30.4)112(28.7)
2001–300023(17.7)60(23.1)83(21.3)
>300025(19.2)72(27.7)97(24.9)

Note: *= Ethiopian birr= 25 UDS.

Socio-Demographic Characteristics of Cases and Controls Attending at Public Hospitals of Tigray, Ethiopia 2017/2018 Note: *= Ethiopian birr= 25 UDS.

Antepartum Characteristics

Half of the mothers in cases 66 (50.8%) were prim-gravida while about two-thirds of control 159 (61.2%) were prim-gravida. A majority of cases 101 (82.8%) and control 226 (87.9%) had ANC follow-up. Nearly one-fifths of the 25 (19.2%) cases were also found to be pre-eclamptic, while only 8 (3.1%) of controls were pre-eclamptic. Fourteen (10.8%) of cases had multiple births, while only 10 (3.8%) of controls had multiple births. The proportions of history of abortion and previous neonatal death in controls were slightly higher than the cases. Regarding the history of stillbirth, only 4 (3.1%) of cases and 3 (1.2%) of controls experienced stillbirth (Table 2).
Table 2

Antepartum-Related Characteristics of Women Among Cases and Controls Attending at Public Hospitals of Tigray, Ethiopia 2017/2018

VariablesCategoryCaseN=130(%)Control N=260(%)Total N=390(%)
GravidityPrimgravida66(50.8)101(38.8)167(42.8)
Multigravida64(49.2)159(61.2)223(57.2)
ANC follow-upYes122(93.8)257(98.8)379(97.2)
Number of ANC12(1.6)1(0.4)3(0.8)
219(15.6)30(11.7)49(12.9)
>2101(82.8)226(87.9)327(86.3)
Pregnancy smokingYes1(0.4)1(0.3)
Drinking alcoholNo96(73.8)228(87.7)324(83.1)
<2 glass27(20.8)20(7.7)47(12.1)
>2 glass7(5.4)12(4.6)19(4.9)
Multiple birthYes14(10.8)10(3.8)24(6.2)
OligohydraminousYes5(3.8)3(1.2)8(2.1)
MalariaYes1(0.8)4(1.5)5(1.3)
HIVYes3(2.3)7(2.7)10(2.6)
AnemiaYes14(10.8)13(5.0)27(6.9)
Placenta previaYes1(0.8)2(0.8)3(0.8)
Abruptio placentaeYes12(9.2)4(1.5)16(4.1)
PARITYPremi-parity100(76.9)104(40.0)204(52.3)
Multi-parity30(23.1)156(60.0)186(47.7)
History of abortionYes22(16.9)55(21.2)77(19.7)
Type of abortionSpontaneous16(72.7)46(83.6)62(80.5)
Induced6(27.3)9(16.4)15(19.5)
Number of abortions117(77.3)41(74.5)58(75.3)
25(22.7)13(23.6)18(23.4)
3-1(1.8)1(1.3)
History of stillbirthYes4(3.1)3(1.2)7(1.8)
Previous neonatal deathYes2(1.5)7(2.7)9(2.3)

Abbreviations: ANC, antenatal care; HIV, human immunodeficiency virus.

Antepartum-Related Characteristics of Women Among Cases and Controls Attending at Public Hospitals of Tigray, Ethiopia 2017/2018 Abbreviations: ANC, antenatal care; HIV, human immunodeficiency virus.

Intrapartum-Related Characteristics

In majority of cases [113 (86.9%)] and controls [344 (88.2%)], the labor was started spontaneously without medication. Regarding the duration of labor, 48 (36.9%) of cases and 76 (29.2%) of controls had greater than 18 hrs duration of labor. Fifty-nine (45.4%) cases involving mother and 68 (26.2%) cases involving non-cases involving mother birth by caesarian delivery. Sixty-nine (53.1%) of cases and 13 (5%) of control had meconium-stained liquor (Table 3).
Table 3

Intrapartum-Related Characteristics (Risks) of Women Among Cases and Controls Attending at Public Hospitals of Tigray, Ethiopia 2017/2018

VariablesCategoryCase N=130(%)Control N=260(%)Total N=390(%)
PROMNo97(74.6)195(75.0)292(74.9)
Yes33(25.4)65(25.0)98(25.1)
Type of laborSpontaneous without medication113(86.9)231(88.8)344(88.2)
Induced with medicine17(13.1)29(11.2)46(11.8)
Duration of labor in hour<345(34.6)104(40.0)149(38.2)
4–1837(28.5)80(30.8)117(30.0)
>1848(36.9)76(29.2)124(31.8)
Mode of deliverySVD69(53.1)184(70.8)253(64.9)
CS59(45.4)68(26.2)127(32.6)
Instrumental assisted delivery2(1.5)8(3.1)10(2.6)
Color of liquorPure61(46.9)247(95.0)308(79.0)
Meconium stained69(53.1)13(5.0)82(21.0)
Meconium gradeGrade 121(30.4)9(69.2)30(36.6)
Grade 233(47.8)2(15.4)35(42.7)
Grade 315(21.7)2(15.4)17(20.7)
Augmentation of laborNo118(90.8)232(89.2)350(89.7)
Yes12(9.2)28(10.8)40(10.3)
ChorioamnionitisNo126(96.9)260(100.0)386(99.0)
Yes4(3.1)4(1.0)
Obstructed laborNo124(95.4)259(99.6)383(98.2)
Yes6(4.6)1(0.4)7(1.8)

Abbreviations: PROM, premature rupture of membrane; SVD, spontaneous vaginal delivery; CS, caesarian section.

Intrapartum-Related Characteristics (Risks) of Women Among Cases and Controls Attending at Public Hospitals of Tigray, Ethiopia 2017/2018 Abbreviations: PROM, premature rupture of membrane; SVD, spontaneous vaginal delivery; CS, caesarian section.

Neonatal Characteristics

Eighteen (16.1%) of case neonates and around one-quarter of control [57 (24.4%)] neonates were under normal gestational age interval. Almost half of the study participants were preterm. More than three-quarters of 102 (78.5%) cases and more than two-thirds of 80 (30.8%) neonates were not under normal birth weight interval. Regarding nuchal cord, 15 (11.5%) of case neonate and 16 (6.2%) of controls had entangled cord around their neck (Table 4).
Table 4

Neonate-Related Characteristics of Neonates Among Cases and Controls Born in Public Hospitals of Tigray, Ethiopia 2017/2018

VariablesCategoryCase N=130(%)Control N=260(%)Total N=390(%)
Gestational age in weeks<3765(58.0)100(42.7)165(47.7)
37–4218(16.1)57(24.4)75(21.7)
>4229(25.9)77(32.9)106(30.6)
SexMale75(57.7)152(58.5)227(58.2)
Female55(42.3)108(41.5)163(41.8)
PresentationVertex89(68.5)243(93.5)332(85.1)
Non vertex41(31.5)17(6.5)58(14.9)
Neonates weight in kg<2.571(54.6)81(31.2)152(39.0)
2.5–4.028(21.5)80(30.8)108(27.7)
>4.031(23.9)99(38)130(33.3)
Nuchal cordYes15(11.5)16(6.2)31(7.9)
No115(81.5)244(93.8)359(92.1)
Neonate-Related Characteristics of Neonates Among Cases and Controls Born in Public Hospitals of Tigray, Ethiopia 2017/2018

Risk Factors of Birth Asphyxia (Bivariate and Multivariate Analysis)

The risk of birth asphyxia among neonates born of primiparous mothers was 5.5 times higher [AOR 5.5 (CI: 2.5, 12.3)] relative to neonates born of multi-parous mothers. Post-term neonates were 2.73 times [AOR 2.73 (CI: 1.00, 7.55)] more likely to develop asphyxia than term-born neonates. The odds of developing birth asphyxia for neonates born to mothers with hypertension was 12.4 times higher than neonates born to mothers without hypertension [AOR 12.4 (CI: 4.17, 37.15)]. Neonates born with meconium-stained amniotic fluid were 29.2 times [AOR 29.2 (CI: 12.0, 71.1)] as likely to have asphyxia as those born without meconium-stained amniotic fluid. Neonates entangled in a cord are 5.67 times [AOR 5.67 (CI: 1.66, 19.3)] as likely to be asphyxiated as compared with their counterparts. Neonates with non-vertex presentation had a 5.49-fold higher risk of developing birth asphyxia than those born with normal presentation [AOR 5.49 (CI: 2.20, 13.7)] (Table 5).
Table 5

Final Regression Model of Risk Factors of Birth Asphyxia in Public Hospitals of Tigray, 2017/2018

VariableCategoryCOR(95% CI)AOR(95% CI)
ResidenceUrban11
Rural2.068(1.267,3.375)1.015(0.371,2.776)
Monthly income<10000.347(0.190,0.635)0.521(0.170,1.591)
1001–20000.831(0.452,1.530)1.207(0.430,3.391)
2001–30000.906(0.467,1.756)1.374(0.480,3.938)
>300011
ParityPrimi-parity0.200(0.124,0.322)5.5(2.5, 12.3)*
Multi-parity11
PROMYes1.021(0.629,1.657)1.714(0.734, 4.0)
Duration of labor in hour, s<31.069(0.633,1.804)0.908(0.37,2.227)
4–1811
>180.732(0.430,1.246)1.155(0.450, 2.963)
AnemiaYes0.436(0.199,0.958)0.426(0.111,1.63)
Multiple birthYes0.331(0.143,0.768)0.515(0.126,2.104)
Pre-eclamcia/PIHYes0.133(0.058,0.305)12.4(4.17, 37.15)*
Mode of deliverySVD11
CS0.432(0.277,0.675)0.841(0.387,1.828)
Instrumental assisted delivery1.5(0.311,7.239)6.845(0.381,122.952)
Obstructed laborYes0.080(0.010,0.670)0.049(0.002,1.181)
Gestational age in weeks<370.486(0.263,0.899)0.788(0.315,1.969)
37–4211
>420.838(0.425,1.656)2.73(1.00,7.55)*
Neonates weight in kg<2.50.399(0.234,0.682)0.58(0.26,1.31)
2.5–4.011
>4.01.118(0.620,2.016)0.572(0.219,1.493)
PresentationVertex11
Non-vertex**0.152(0.082,0.281)5.49(2.20,13.7)*
Nuchal cordYes0.503(0.240,1.052)5.67(1.66,19.3)*
Color of liquorPure11
Meconium stained0.047(0.024,0.090)29.2(12.0,71.1)*

Notes: **= breech, eyebrow and face *Significant association.

Abbreviation: PIH, pregnancy induced hypertension.

Final Regression Model of Risk Factors of Birth Asphyxia in Public Hospitals of Tigray, 2017/2018 Notes: **= breech, eyebrow and face *Significant association. Abbreviation: PIH, pregnancy induced hypertension.

Discussion

Parity had a significant association with birth asphyxia in this study. Those who were primiparous mothers were 5.5 times higher than those who were multiparous mothers. This finding is consistent with the study conducted in Nigeria, India, Pakistan and the central Tigray zone.11–14 This may be due to the fact that prim-parous individuals are often unaware of the demands of pregnancy and often lack routine antenatal care. This may result in complications that lead to asphyxia. The consistency of the results could be attributed to the socio-economic and cultural similarity between the areas of study. In the mothers of cases in the study, pre-eclampsia/pregnancy-induced hypertension (PHI) was also identified as a significant complication of pregnancy. Pre-eclampsia/pregnancy-induced hypertension was also previously reported as a risk factor for birth asphyxia.7,12,13,15–17 Preeclampsia/PIH, if persistent, linked to lower blood supply, nutrients and oxygen to the fetus, results in intrauterine growth restriction. This condition can alone be connected with asphyxia. Post-term pregnancy results in placental insufficiency which occurs when the placenta does not provide the fetus with enough oxygen and nutrients. The placenta reaches its maximum size after 37 weeks of pregnancy and its functions begin to decline afterward. The longer a fetus goes without adequate nutrition or oxygen, the greater the risk to a range of health complications, including oxygen deprivation, which may also lead to perinatal asphyxia accompanied by cerebral palsy and intellectual problems.18 This study’s result revealed that post-term neonates were 2.73 times more likely than term-born neonates to experience asphyxia. There was a significant association between meconium-colored liquor and birth asphyxia. Those who had stained meconium were 29.2 times more at risk of asphyxia than those who did not have stained liquor with meconium. This study is consistent with other previous studies conducted in India hospital, Pakistan in Karachi Tertiary Hospital, Phramongkutklao Hospital in Thailand, Nigeria Delta Tertiary Institute, Mulago Hospital in Uganda, Cameron Yaounde Tertiary Hospital, Gondar University Referral Hospital and Tigray Central Zone Public Hospitals in Ethiopia.7,11–15,17,19 The possible explanation could be that meconium-stained AF leads to peripartum inhalation of meconium-stained amniotic fluid, resulting in chemical pneumonitis including inflammation of the pulmonary tissue, mechanical narrowing of the airways and pulmonary air leakage, ending in hypoxia.20 As for the presentation of neonates, those with non-vertex presentation show a significant association with neonatal birth asphyxia. This finding is comparable to studies conducted at Acharya Vinobha Bhave rural hospital in India, Pakistan tertiary hospital in Karachi, Mululago hospital in Uganda, and Phramongkutklao hospital in Thailand.7,13,15,17,21 This might be attributable to the fact that the non-vertex presentation had an increased risk of umbilical cord prolapse, head entrapment and birth injury which result in oxygen deprivation.22 In our research, neonates entangled in the cord are 5.67 times more likely to develop asphyxia than those not entangled in the cord. This result was consistent with the study done in different parts of the world.16,23,24 This is due to the fact that umbilical cord is responsible for providing the fetus with oxygen-rich, nutrient-rich blood and for carrying deoxygenated, nutrient-depleted blood back to the placenta. If the nuchal cord interferes with these processes by compressing the umbilical cord, or blocks the arteries and veins in the fetal neck this can cause a loss of fetal oxygen.25

Conclusion and Recommendations

Birth asphyxia is one of the neonate problems of the world. In this research, intrapartum and neonatal factors in the index pregnancy were associated with birth asphyxia. The study findings suggest proper antenatal care follow-up and using partograph after the initiation of labor is crucial.
  10 in total

1.  Antenatal and intrapartum risk factors for birth asphyxia among emergency obstetric referrals in Mulago Hospital, Kampala, Uganda.

Authors:  D Kaye
Journal:  East Afr Med J       Date:  2003-03

Review 2.  The burden of disease from neonatal mortality: a review of South Asia and Sub-Saharan Africa.

Authors:  Adnan A Hyder; Salman A Wali; Jeffery McGuckin
Journal:  BJOG       Date:  2003-10       Impact factor: 6.531

3.  Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data.

Authors:  Alan D Lopez; Colin D Mathers; Majid Ezzati; Dean T Jamison; Christopher J L Murray
Journal:  Lancet       Date:  2006-05-27       Impact factor: 79.321

Review 4.  Measuring the global burden of disease and epidemiological transitions: 2002-2030.

Authors:  A D Lopez; C D Mathers
Journal:  Ann Trop Med Parasitol       Date:  2006 Jul-Sep

Review 5.  Meconium aspiration syndrome: do we know?

Authors:  Murat Yurdakök
Journal:  Turk J Pediatr       Date:  2011 Mar-Apr       Impact factor: 0.552

Review 6.  Every Newborn: progress, priorities, and potential beyond survival.

Authors:  Joy E Lawn; Hannah Blencowe; Shefali Oza; Danzhen You; Anne C C Lee; Peter Waiswa; Marek Lalli; Zulfiqar Bhutta; Aluisio J D Barros; Parul Christian; Colin Mathers; Simon N Cousens
Journal:  Lancet       Date:  2014-05-19       Impact factor: 79.321

7.  "Risk factors of birth asphyxia".

Authors:  Hafiz Muhammad Aslam; Shafaq Saleem; Rafia Afzal; Umair Iqbal; Sehrish Muhammad Saleem; Muhammad Waqas Abid Shaikh; Nazish Shahid
Journal:  Ital J Pediatr       Date:  2014-12-20       Impact factor: 2.638

8.  Risk factors of birth asphyxia among newborns in public hospitals of Central Zone, Tigray, Ethiopia 2018.

Authors:  Hagos Tasew; Micheal Zemicheal; Girmay Teklay; Teklewoini Mariye; Ebud Ayele
Journal:  BMC Res Notes       Date:  2018-07-20

9.  Determinants of birth asphyxia among live birth newborns in University of Gondar referral hospital, northwest Ethiopia: A case-control study.

Authors:  Lisanu Wosenu; Abebaw Gebeyehu Worku; Destaw Fetene Teshome; Abebaw Addis Gelagay
Journal:  PLoS One       Date:  2018-09-07       Impact factor: 3.240

10.  Risk factors for birth asphyxia in an urban health facility in cameroon.

Authors:  Andreas Chiabi; Seraphin Nguefack; Evelyne Mah; Sostenne Nodem; Lawrence Mbuagbaw; Elie Mbonda; Pierre-Fernand Tchokoteu; Anderson Doh Frcog
Journal:  Iran J Child Neurol       Date:  2013
  10 in total
  4 in total

1.  The effect of gestational age, low birth weight and parity on birth asphyxia among neonates in sub-Saharan Africa: systematic review and meta-analysis: 2021.

Authors:  Masresha Asmare Techane; Tewodros Getaneh Alemu; Chalachew Adugna Wubneh; Getaneh Mulualem Belay; Tadesse Tarik Tamir; Addis Bilal Muhye; Destaye Guadie Kassie; Amare Wondim; Bewuketu Terefe; Bethelihem Tigabu Tarekegn; Mohammed Seid Ali; Beletech Fentie; Almaz Tefera Gonete; Berhan Tekeba; Selam Fisiha Kassa; Bogale Kassahun Desta; Amare Demsie Ayele; Melkamu Tilahun Dessie; Kendalem Asmare Atalell; Nega Tezera Assimamaw
Journal:  Ital J Pediatr       Date:  2022-07-15       Impact factor: 3.288

2.  Determinants of birth asphyxia among newborn live births in public hospitals of Gamo and Gofa zones, Southern Ethiopia.

Authors:  Kebebew Lemma; Direslgne Misker; Mekidim Kassa; Hanan Abdulkadir; Kusse Otayto
Journal:  BMC Pediatr       Date:  2022-05-13       Impact factor: 2.567

3.  Perinatal maternal characteristics predict a high risk of neonatal asphyxia: A multi-center retrospective cohort study in China.

Authors:  Yi Yu; Jinsong Gao; Juntao Liu; Yabing Tang; Mei Zhong; Jing He; Shixiu Liao; Xietong Wang; Xinghui Liu; Yinli Cao; Caixia Liu; Jingxia Sun
Journal:  Front Med (Lausanne)       Date:  2022-08-08

4.  Predictors of mortality among newborns admitted with perinatal asphyxia at public hospitals in Ethiopia: a prospective cohort study.

Authors:  Samuel Dessu; Zinabu Dawit; Abebe Timerga; Muluken Bafa
Journal:  BMC Pediatr       Date:  2021-07-07       Impact factor: 2.125

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.