The patterns and causes of neonatal mortality at a tertiary hospital in oman

The Impact of Sociodemographic, Macroeconomic, and Health Status and Resources on Infant Mortality Rates in Oman: Evidence from 1980 to 2022

BACKGROUND

The infant mortality rate (IMR) is an important reflection of the well-being of infants and the overall health of the population. This study aims to examine the macroeconomic (ME), sociodemographic (SD), and health status and resources (HSR) effects on IMR, as well as how they may interact with each other.

METHODS

A retrospective time-series study using yearly data for Oman from 1980 to 2022. Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to develop the exploratory model of the determinants of IMR.

RESULTS

The model indicates that HSR determinants directly, but negatively, affect IMR (β = -0.617, p < 0.001). SD directly and positively affects IMR (β = 0.447, p < 0.001). ME only indirectly affects IMR (β = -0.854, p < 0.001). ME determinants also exert some direct influences on both HSR (β = 0.722, p < 0.001) and SD (β = -0.916, p < 0.001) determinants.

CONCLUSIONS

This study has indicated that IMR is a multi-faceted issue. It also highlighted the interplay of numerous variables and their influence on IMR, particularly the role that social status, the health sector, and the wealth of the country and its population play in reducing IMR. These findings indicate that an integrated policy that addresses socioeconomic and health-related factors and the overall ME environment is necessary for the health and well-being of the children and the population overall in Oman.

Association of maternal history of neonatal death with subsequent neonatal death across 56 low- and middle-income countries

Early identification of high-risk pregnancies can reduce global neonatal mortality rate. Using the most recent Demographic and Health Surveys from 56 low- and middle-income countries, we examined the proportion of mothers with history of neonatal deaths. Logistic regression models were used to assess the association between maternal history of neonatal death and subsequent neonatal mortality. The adjusted models controlled for socioeconomic, child, and pregnancy-related factors. Country-specific analyses were performed to assess heterogeneity in this association across countries. Among the 437,049 live births included in the study, 6910 resulted in neonatal deaths. In general, 22.4% (1549) occurred to mothers with previous history of neonatal death; at the country-level, this proportion ranged from 1.2% (95% confidence interval [CI] 0.0, 2.6) in Dominican Republic to 38.1% (95% CI 26.0, 50.1) in Niger. Maternal history of neonatal death was significantly associated with subsequent neonatal death in both the pooled and the subgroup analyses. In the fully adjusted model, history of neonatal death was associated with 2.1 (95% CI 1.9, 2.4) times higher odds of subsequent neonatal mortality in the pooled analysis. We observed large variation in the associations across countries ranging from fully adjusted odds ratio (FAOR) of 0.4 (95% CI 0.0, 4.0) in Dominican Republic to 16.1 (95% CI 3.6, 42.0) in South Africa. Our study suggests that maternal history of neonatal death could be an effective early identifier of high-risk pregnancies in resource-poor countries. However, country-specific contexts must be considered in national policy discussions.

Factors associated with neonatal mortality in a tertiary hospital in Phnom Penh, Cambodia

This study aimed to identify hospital neonatal mortality rate (NMR) and the causes of neonatal deaths, and to understand risk factors associated with neonatal mortality in a national tertiary hospital in Cambodia. The study included all newborn infants, aged 0-28 days old, hospitalized in the Pediatrics department of Khmer-Soviet Friendship Hospital between January 2016 and December 2017. In total, 925 infants were included in the study. The mean gestational age was 35.9 weeks (range, 24-42 weeks). Preterm infants and low birth weight accounted for 47.5% and 56.7%, respectively. With respect to payment methods, the government (53.5%) and non-governmental organizations (NGO) (13.7%) paid the fees as the families were not in a financial position to do so. The hospital NMR at the Pediatrics department was 9.3%. Respiratory distress syndrome (37.2%) was the main cause of deaths followed by hypoxic-ischemic encephalopathy (31.4%) and neonatal infection (21.0%). Factors associated with neonatal mortality were Apgar score at 5th minute <7 (adjusted odds ratio (AOR) = 3.57), payment by the government or NGO (AOR = 11.32), admission due to respiratory distress (AOR = 11.94), and hypothermia on admission (AOR = 9.41). The hospital NMR in the Pediatrics department was 9.3% (95% confidence interval 7.50-11.35) at Khmer-Soviet Friendship Hospital; prematurity and respiratory distress syndrome were the major causes of neonatal mortality. Introducing continuous positive airway pressure machine for respiratory distress syndrome and creating neonatal resuscitation guidelines and preventing hypothermia in delivery rooms are required to reduce the high NMR.

Neutrophil-to-Lymphocyte Ratio as an Alternative Marker of Neonatal Sepsis in Developing Countries

Objectives

We sought to analyze the neutrophil-to-lymphocyte ratio (NLR) as an alternative marker of neonatal sepsis.

Methods

In this cross-sectional study, we undertook consecutive sampling in all inborn neonates admitted to the Neonatal Intensive Care Unit with clinical manifestations of neonatal sepsis. Neonates with congenital anomalies and referred neonates were excluded. Complete blood count, C-reactive protein (CRP), and blood culture were carried out as the septic workup examinations based on the local Clinical Practical Guidelines. NLR is obtained by dividing the absolute count of neutrophils from lymphocytes manually. A cut-off value of NLR is obtained using a receiver operating characteristic curve.

Results

The median NLR value of the 104 neonates who met the inclusion and exclusion criteria was 3.63 (2.39–6.12). Neonates with NLR of 2.12 have the area under the curve of 0.630 (95% confidence interval (CI): 0.528–0.741) and 0.725 (95% CI: 0.636–0.814) when combined with CRP = 2.70 mg/dL. Neonates with NLR ≥ 2.12 in clinical neotnatal sepsis had almost double the risk of providing positive blood culture results (relative risk = 1.867, 95% CI: 1.077–3.235; p = 0.011).

Conclusions

NLR, calculated from complete blood count, can be used as an alternative marker of easy and relatively inexpensive neonatal sepsis, especially in developing countries, and detection of proven neonatal sepsis to be better when combined with CRP.

Morbidities & outcomes of a neonatal intensive care unit in a complex humanitarian conflict setting, Hajjah Yemen: 2017-2018

BACKGROUND

The protracted conflict in Yemen has taken a massive toll on the health system, negatively impacting the health of children, especially the most vulnerable age group; the newborns.

METHODS

A 2-year retrospective study of admissions into the Neonatal Intensive Care Unit (NICU) in Al-Gomhoury Hospital Hajjah, Northwest Yemen was conducted. Data was analyzed with IBM SPSS® version 25.0 statistical software using descriptive/inferential statistics.

RESULTS

A total of 976 newborns were eligible and included in this study; 506 preterm newborns (51.8%) and 470 term newborns (48.2%). Over half, 549 (56.3%) newborns were admitted within 24 h after birth and 681 (69.8%) newborns travelled for over 60 min to arrive at the NICU. The most common admission diagnoses were complications of prematurity (341; 34.9%), perinatal asphyxia (336; 34.4%), neonatal jaundice (187; 18.8%), and neonatal sepsis (157, 16.1%). The median length of stay in the NICU was 4 days. There were 213 neonatal deaths (Facility neonatal mortality rate was 218 neonatal deaths per 1000 livebirths); 192 (90.1%) were preterm newborns, while 177 (83.1%) were amongst newborns that travelled for more 60 min to reach the NICU. Significant predictors of neonatal deaths are preterm birth (aOR = 3.09, 95% CI: 1.26-7.59, p = 0.014 for moderate preterm neonates; aOR = 6.18, 95% CI: 2.12-18.01, p = 0.001 for very preterm neonates; and aOR = 44.59, 95% CI: 9.18-216.61, p <  0.001 for extreme preterm neonates); low birth weight (aOR = 3.67, 95% CI: 1.16-12.07, p = 0.032 for very low birth weight neonates; and aOR = 17.42, 95% CI: 2.97-102.08, p = 0.002 for extreme low birth weight neonates); and traveling for more than 60 min to arrive at the NICU (aOR = 2.32, 95% CI: 1.07-5.04, p = 0.033). Neonates delivered by Caesarean section had lower odds of death (aOR = 0.38, 95% CI 0.20-0.73, p = 0.004) than those delivered by vaginal birth.

CONCLUSIONS

Preterm newborns bear disproportionate burden of neonatal morbidity and mortality in this setting which is aggravated by difficulties in accessing early neonatal care. Community-based model of providing basic obstetric and neonatal care could augment existing health system to improve neonatal survival in Yemen.

Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea

BACKGROUND

Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries.

OBJECTIVE

To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea.

METHODS

Medical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model's estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant.

RESULTS

Of the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97-10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80-63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34-6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09-4.76, in 5 min AOR = 2.07, 95% CI, 1.02-4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59-9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11-0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study.

CONCLUSIONS

Low birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths.

Classification systems for causes of stillbirth and neonatal death, 2009-2014: an assessment of alignment with characteristics for an effective global system

Background

To reduce the burden of 5.3 million stillbirths and neonatal deaths annually, an understanding of causes of deaths is critical. A systematic review identified 81 systems for classification of causes of stillbirth (SB) and neonatal death (NND) between 2009 and 2014. The large number of systems hampers efforts to understand and prevent these deaths. This study aimed to assess the alignment of current classification systems with expert-identified characteristics for a globally effective classification system.

Methods

Eighty-one classification systems were assessed for alignment with 17 characteristics previously identified through expert consensus as necessary for an effective global system. Data were extracted independently by two authors. Systems were assessed against each characteristic and weighted and unweighted scores assigned to each. Subgroup analyses were undertaken by system use, setting, type of death included and type of characteristic.

Results

None of the 81 systems were aligned with more than 9 of the 17 characteristics; most (82 %) were aligned with four or fewer. On average, systems were aligned with 19 % of characteristics. The most aligned system (Frøen 2009-Codac) still had an unweighted score of only 9/17. Alignment with individual characteristics ranged from 0 to 49 %. Alignment was somewhat higher for widely used as compared to less used systems (22 % v 17 %), systems used only in high income countries as compared to only in low and middle income countries (20 % vs 16 %), and systems including both SB and NND (23 %) as compared to NND-only (15 %) and SB-only systems (13 %). Alignment was higher with characteristics assessing structure (23 %) than function (15 %).

Conclusions

There is an unmet need for a system exhibiting all the characteristics of a globally effective system as defined by experts in the use of systems, as none of the 81 contemporary classification systems assessed was highly aligned with these characteristics. A particular concern in terms of global effectiveness is the lack of alignment with “ease of use” among all systems, including even the most-aligned. A system which meets the needs of users would have the potential to become the first truly globally effective classification system.

Electronic supplementary material

The online version of this article (doi:10.1186/s12884-016-1040-7) contains supplementary material, which is available to authorized users.

Changing Survival Rate of Infants Born Before 26 Gestational Weeks: Single-centre study

OBJECTIVES

This study aimed to evaluate the changing survival rate and morbidities among infants born before 26 gestational weeks at the Sultan Qaboos University Hospital (SQUH) in Muscat, Oman.

METHODS

This retrospective study assessed the mortality and morbidities of all premature infants born alive at 23-26 gestational weeks at SQUH between June 2006 and May 2013. Infants referred to SQUH within 72 hours of birth during this period were also included. Electronic records were reviewed for gestational age, gender, birth weight, maternal age, mode and place of delivery, antenatal steroid administration, morbidity and outcome. The survival rate was calculated and findings were then compared with those of a previous study conducted in the same hospital from 1991 to 1998. Rates of major morbidities were also calculated.

RESULTS

A total of 81 infants between 23-26 gestational weeks were admitted to the neonatal unit during the study period. Of these, 58.0% were male and 42.0% were female. Median gestational age was 25 weeks and mean birth weight was 770 ± 150 g. Of the 81 infants, 49 survived. The overall survival rate was 60.5% compared to 41% reported in the previous study. Respiratory distress syndrome (100.0%), retinopathy of prematurity (51.9%), bronchopulmonary dysplasia (34.6%), intraventricular haemorrhage (30.9%) and patent ductus arteriosus (28.4%) were the most common morbidities.

CONCLUSION

The overall survival rate of infants between 23-26 gestational weeks during the study period had significantly improved in comparison to that found at the same hospital from 1991 to 1998. There is a need for the long-term neurodevelopmental follow-up of premature infants.

Nosocomial transmission of group B streptococci proven by positive environmental culture

OBJECTIVE

Neonates usually acquire Group B streptococcal infection vertically from the maternal birth canal during delivery. In January 2010, a Group B streptococcal outbreak investigation was conducted in response to an increased number of clinical specimens from our neonatal intensive care unit.

METHODS

Microbiology laboratory records were reviewed to identify Group B streptococcal from specimens originating from the neonatal intensive care unit during December 2009 and January 2010. Patients from whom these specimens were collected were identified and their charts reviewed. Environmental samples to screen for Group B streptococcal were collected from the unit, clinical and environmental isolates were compared by pulsed field gel electrophoresis. Point prevalence screening was conducted twice before declaring the outbreak over.

RESULTS

Pulsed field gel electrophoresis patterns of three clinical strains from six patients were indistinguishable. One environmental strain was isolated from one of the patients monitor, and had identical pulsed field gel electrophoresis pattern to that of the three clinical strains. Infection control measures were implemented in the neonatal intensive care unit and follow-up point prevalence screening identified no new cases.

CONCLUSIONS

Although poor infection control practice has been implicated in previous reports of nosocomial outbreaks of Group B streptococcal infection in neonatal intensive care units, our finding provides unique evidence that the environment can act as a reservoir of Group B streptococcal and play a key role in nosocomial transmission.