Introduction

A live birth that occurs before 37 weeks of pregnancy is referred to as a preterm birth. It can occur spontaneously or be medically induced through elective cesarean birth or labor induction [1,2,3].

A premature newborn’s death during the first 28 days of life is known as preterm neonatal mortality [4]. Preterm delivery is still a major global public health issue due to its substantial role in the morbidity and death of newborns [5].

Preterm infants are at high risk for both short- and long-term complications, such as low birth weight, increased caloric needs, feeding difficulties [6], immature digestion and impaired absorption of carbohydrates and lipids [7], breathing problems [8, 9], cerebral palsy, impaired brain function, developmental delay, poorer cognitive function [10,11,12], vision and hearing problems [8, 12], perinatal asphyxia, respiratory distress syndrome (RDS), increased risk of sudden infant death, problems controlling body temperature, heart problems, hypoglycemia, and infections [12, 13].

Preterm infants place a heavy financial burden on families and hospitals because they require specialized medical care in a neonatal intensive care unit (NICU) and are more likely to need a prolonged hospital stay (days to months) [14,15,16,17].

An estimated 15 million (11%) preterm births worldwide (or 1 in 10 deliveries) take place each year (at a pace of 29 newborns each minute). 90% of preterm deliveries take place in low- and middle-income nations. Sub-Saharan Africa and South Asia account for 12.7 million preterm births, or about 85% of all preterm birth [18, 19]. The majority of sub-Saharan countries are seeing an increase in preterm birth rates [20].

Various policies, and programs are implemented worldwide with the aim of preventing and treating preterm birth and lowering mortality rates [21, 22]. Even so, it remains the leading cause of neonatal mortality accounting for 35% of all neonatal deaths worldwide, and the second most frequent cause of death for children under five accounting for 18% of all deaths [22,23,24]. Preterm delivery and its complications cause 1 million deaths in children under the age of five every year [25]. The likelihood of survival for a preterm baby is primarily determined by their place of residence; in low-income nations, over 90% of extremely preterm babies pass away in the first few days of life. However, in high-income nations, the death rate is less than 10% [19]. 13% of under-five deaths in sub-Saharan Africa and 25.5% in South Asia are attributed to preterm birth mortality [26].

The mortality rate for children under five has significantly decreased, but the fall in neonatal mortality has been sluggish, particularly in many low-income nations. Regretfully, families and medical professionals in many nations continue to believe that any premature baby will eventually die [27].

The trend of newborn death rates in Ethiopia stayed largely unchanged. In 2005, it was 39; in 2011, it was 37; in 2016, it was 29, and in 2019, there were 30 mortalities per 1000 live births [28]. One-third of these deaths are caused by prematurity [29]. Due to the prolonged hospital stays and long-term complications on the newborn’s health, preterm deliveries place a strain on society’s healthcare resources [30].

Birth weight, gestational age, mode and place of delivery, HIV, exclusive breastfeeding (EBF), postnatal surfactant administration, presence of anomalies, multiple pregnancies, non-cephalic presentation, neonatal sepsis, respiratory distress, and a low APGAR score have all been found to be predictors of death in preterm neonatal deaths [14, 31,32,33,34,35,36].

Target #3.2 of Sustainable Development Goal 3 calls for ending all preventable deaths of newborns and children under the age of five by 2030, and addressing the problem of preterm birth is crucial to reaching this goal [37]. Well-designed, context-specific, representative cohort studies from low- and middle-income countries on preterm birth are therefore required to address data gaps on preterm birth, learn from successes, and adopt best fit models in low- and middle-income settings, as the majority of the evidence on care for preterm babies comes from high-income settings [5, 38].

In Ethiopia, a large number of preterm birth-related deaths are avoidable, particularly deaths of moderate-to late-preterm births (32–37 weeks) [39].

Ethiopia has adopted the target to lower preterm birth-related deaths by 2030 [40].

The country is implementing a number of policies and initiatives, such as an expanded Neonatal Intensive Care Unit (NICU), integrated management of neonatal and pediatric disorders, and a quality improvement program, to address newborn fatalities and accomplish the goal. Preterm infant mortality remains stubbornly high despite these measures.

Besides these efforts, preterm neonatal mortality is still persistently high [35, 41]. Every year, 320,000 premature births occur, and direct preterm problems result in the deaths of 23,100 children under the age of five [42].

Although some studies were done in Ethiopia on the incidence and predictors of preterm death, the risk factors were different across the studies. The majority of these studies used secondary data, which is prone to missing data and variables. There is no information about the incidence and predictors of preterm death in the study area.

Understanding the consequences of preterm births and the factors that increase their risk of death and morbidity affects how healthcare providers treat expectant mothers and their babies and facilitates the efficient use of available resources. It contributes to improving newborn care and lowering unfavorable outcomes in these kinds of difficult births. Estimating the incidence of mortality and its predictors among preterm neonates admitted to the NICU of NEMMCSH is the aim of this study.

Methods and materials

Study area and period

This study was carried out at NEMMCSH, which is located in Hossana town, Haddiya zone, from January to December 2022. Hossana Town, the capital of Central Ethiopia, is situated 230 km from Addis Ababa, the capital of Ethiopia. In addition to providing general and specialty medical care, NEMMCSH is a public hospital that serves as a teaching hospital for medical and other health science students. The neonatal Intensive Care Unit (NICU) offers newborn care services to both inborn and out born term and preterm neonates. A hospital-based prospective follow-up study was carried out.

Treatment protocols in NICU

The treatment protocol in a Neonatal Intensive Care Unit (NICU) varies depending on the specific medical conditions and needs of the newborn. NICUs are specialized units that provide intensive medical care for premature or ill newborns. Many premature infants have underdeveloped lungs and may require assistance with breathing. This can include mechanical ventilation and continuous positive airway pressure (CPAP). Premature babies often struggle to maintain their body temperature. Incubators or radiant warmers are used to keep the baby’s temperature stable. Continuous monitoring of vital signs such as heart rate, respiratory rate, and oxygen saturation is crucial in the NICU. This helps healthcare providers promptly address any changes in the baby’s condition. Neonates in the NICU are susceptible to infections, so strict infection control measures are implemented. This includes proper hand hygiene, aseptic techniques, and the judicious use of antibiotics. Many newborns experience jaundice, a yellowing of the skin and eyes due to elevated bilirubin levels. Phototherapy may be used to treat jaundice. NICUs often emphasize family-centered care, involving parents in the care of their newborns. This includes education on baby care, involvement in decision-making, and support for emotional well-being. Medications may be administered to address specific medical conditions or to support the baby’s physiological functions [43].

Population

All preterm neonates admitted to the NICU of NEMMCSH were the source population whereas all preterm neonates admitted to the NICU at NEMMCSH from January to November 2022 comprised the study population.

Inclusion and exclusion criteria

Preterm neonates admitted to the NICU during the time of data collection were included in the study. Preterm neonates of mothers who are unable to speak and those with no immediate caregiver were excluded from the study because there are some variables measured by interviewing either mothers or caregivers.

Sample size determination and sampling technique

Using Stata version 14, the sample size was calculated with respect to a hazard ratio of 2.186 for gestational age, a standard deviation of 0.186, a 95% confidence interval, a 5% probability of type I error, 80% power, and a 29.31% probability of success (death). Taking into account the aforementioned criteria, a total of 197 preterm neonates were included in the study [44].

Data collection tool and technique

Until the required sample size was attained, the study participants were consecutively recruited into the study. Interviewer administered questionnaire and checklist were used to collect the data. The aforementioned data collection tool were adapted from different studies. Upon admission, the data collectors recruited study subjects and continued to follow them throughout their stay in the facility, documenting all clinical events until the neonates die or censored. Data collection was done by trained nurses and supervision was done by two public health experts. Up until the neonatal death or censorship, newborn data were prospectively gathered from medical records. The neonates were followed for a maximum of 28 days from birth. To assure the quality of the data, the data collection tool was evaluated by pediatricians, and 1 day of training was given to the data collectors and supervisors about general research protocols. The Principal investigator reviewed the data before entering it to ensure it was consistent and complete.

Study variables

Dependent variable

Mortality of preterm neonates.

Independent variables

maternal age, place of residence, marital status, level of education, occupation, monthly income and sex of neonates, multiple pregnancy, parity, history of abortion and/or preterm birth, Birth interval, prolonged labour, ANC visits, human immunodeficiency virus (HIV) status, DM and place of delivery, mode of delivery, type of birth attendant, antenatal corticosteroid use, neonatal postnatal age at admission, anomalies, KMC, BMI, birth weight, 1 and 5-minute APGAR score and resuscitation history, gestational age, obstetric haemorrhage, eclampsia and preeclampsia, mal-presentation, feeding problem, asphyxia, neonatal sepsis, hypothermia, jaundice, HR, RR, SPO2, and hypoglycemia.

Data analysis

Data were entered into Epi-data for Windows and analyzed using Stata version 14. Percentages and frequencies were used to summarize categorical variables. The results were presented in tables, texts, and graphs based on the nature of the variables. The distribution of the continuous variables was checked by a box plot. Mean with standard deviation and median with interquartile range were used to summarize normally and non-normally distributed continuous variables, respectively. The Kaplan-Meier Survival and failure curve was used to describe the proportion of deaths over time and to compare groups.

Multivariable Cox proportional hazards regression

The independent effects of covariates on the hazard of death were analyzed using the multivariable Cox proportional hazards model. Variables with p-value < 0.25 in bivariable cox proportional hazards analysis were considered for multivariable cox proportional hazards analysis. Adjusted hazard ratios with their 95% confidence interval (CI) were estimated, and a p-value less than 0.05 was used to declare the presence of a significant association between predictors and preterm neonatal death.

Assessing model assumptions

The proportional hazard assumption states that the effect of the covariate is the same over time. It was tested using the global test running the estat phtest command in stata. The assumption was satisfied (p-value: 0.2042).

Operational definitions

Definitions of the terms are given in the table below (Table 1).

Table 1 Operational definition of the terms

Results

Socio-demographic characteristics of the study participants

More than half (51.27) of the neonates were males, and 82.23% were aged less than 24 h at admission. The median gestational age was 35 weeks (IQR: 34 weeks, 35.8 weeks), and 90.82% were born at or after 32 weeks of conception. 86.29% of the neonates were born at a health facility. The mean age of the mothers was 28.74 years (SD: 5.72 years), and more than half (55.33%) of them were from rural areas (Table 2).

Table 2 Frequency and percentage distribution of sociodemographic characteristics of the neonates and their mothers in NEMMHS, 2022

Maternal medical and obstetrics related characteristics

All mothers had ANC follow up and 66.33% of the neonates were born to mothers who had > = 3 ANC follow up. 31.98% of the women had multiple pregnancies, and 43.65% of the neonates were born to multipara mothers. More than three-fourths (77.66%) of the neonates were born to mothers who had not taken corticosteroids during pregnancy. More than half (21.32%) of the mothers had prolonged labor, and 3.55% of the mothers had obstetric hemorrhage. 22.34% of the neonates were born to mothers who had a history of abortion or preterm birth, and 13.71% and 9.64% of the women had preeclampsia and eclampsia, respectively (Table 3).

Table 3 Frequency and percentage distribution of maternal medical and obstetrics related characteristics in NEMMCSH, 2022

Neonatal admission diagnosis and treatment related characteristics

Nearly three-fourth (75.63%) of the neonates were hypothermic at admission and 74.62% of them had neonatal sepsis. More than one-third (38.58%) of the neonates had jaundice and hypoglycemia, and nearly one-fourth of them had asphyxia (24.87%). More than one-third (34.04%) of the neonates had received CPAP, and 83.25% were given early antibiotics. More than half (58.88%) of them had received KMC, and 29.44% were resuscitated (Table 4).

Table 4 Frequency and percentage distribution of neonatal admission diagnosis and treatment related characteristics in NEMMCSH, 2022

Incidence of mortality

The mean duration of admission was 9.42 days (SD = 6.64) and the mean time to death was 5.68 days (SD = 5.54). The total person-day observation was 1840 days. Out of 197 neonates, 48 of them died. The incidence of mortality was 26.08 (95% CI: 19.65, 34.61) per 1000 person days. The incidence of mortality was the highest (46.13 per 100 person days) within the first 24 h. Between 2nd to 7th, 8th to 14th, 15th to 21st, and 22nd to 28th, the incidence of mortality was 29.65, 24.39, 11.42, and 18.86 per 1000 person days, respectively. The cumulative probability of mortality within the first 7, 14, 21, and 28 days was 0.1715, 0.3077, 0.3569, and 0.4664, respectively. The Kaplan-Meir graph increases rapidly during the first 5 days and between the 8th and 14th days, showing most neonates died during these periods (Figs. 1 and 2).

Fig. 1
figure 1

Cumulative survival probability among preterm neonates in NEMMCSH, 2022

Fig. 2
figure 2

Cumulative probability of mortality among neonates admitted to NEMMCSH, 2022

The cumulative probability of deaths were higher among neonates who were born to mothers who had mal-presentation, eclampsia, and neonates who had not exclusively breast fed, were not resuscitated and neonates with 1 min APGAR score of 4–7(Figs. 3, 4, 5, 6 and 7).

Fig. 3
figure 3

Cumulative probability of mortality by mal-presentation among neonates admitted to NEMMCSH, 2022

Fig. 4
figure 4

Cumulative probability of mortality by one minute APGAR score among neonates admitted to NEMMCSH, 2022

Fig. 5
figure 5

Cumulative probability of mortality by eclamsia status of mothers among preterm neonates admitted to NEMMCSH, 2022

Fig. 6
figure 6

Cumulative probability of mortality by resuscitation among preterm neonates admitted to NEMMCSH, 2022

Fig. 7
figure 7

Cumulative probability of mortality by exclusive breastfeeding among preterm neonates admitted to NEMMCSH, 2022

Predictors of mortality

In a bivariable cox regression ANC, preeclampsia, eclampsia, malpresentation, KMC, hypoglycemia, and exclusive breast feeding were considered for multivariable cox regression. In multivariable Cox regression, eclampsia, exclusive breast feeding, and KMC were found to be significant predictors of death among preterm neonates.

Preterm neonates of mothers with Eclampsia had 3.03 times higher hazards of death as compared to neonates of mothers without Eclampsia (AHR = 3.03).

The hazards of death were 2.26 times higher for preterm neonates who have not received KMC as compared to those who have received the care (AHR = 2.26). Preterm neonates who have not exclusively breastfed had 4.4 times higher hazards of death as compared to neonates who have exclusively breastfed (AHR = 4.4) (Table 5).

Table 5 Predictors of mortality among preterm neonates in NEMMCSH, 2022

Discussion

Preterm neonates were followed for 1840 person-days. The mean time to death was 5.68 days (SD = 5.54). The incidence of mortality was 26.08 (95% CI: 19.65, 34.61) per 1000 person days. This is nearly similar to the incidence of death reported from studies in Addis Ababa, Ethiopia [45] and Northern Ethiopia [46].

KMC, exclusive breastfeeding, and Eclampsia were significant predictors of death among preterm neonates. The hazards of death were higher for preterm neonates who have not received KMC as compared to those who have received KMC. This finding is in line with the findings in studies done at Aksum Hospital [47], University of Gondar [48] and Addis Ababa public hospitals [45], and Southern Ethiopia [49].

The increased risk of mortality in preterm newborns who have not undergone Kangaroo Mother Care (KMC) could be attributed to inadequate control of body temperature and breathing. Premature babies frequently face challenges in regulating their body temperature, and without KMC, they may be at a higher risk of experiencing hypothermia or hyperthermia, both of which can lead to fatal outcomes [50, 51]. The physical contact with the mother’s chest can improve the infant’s respiratory rhythms, decreasing the likelihood of respiratory difficulties or issues. Premature babies who have not undergone Kangaroo Mother Care (KMC) are more susceptible to respiratory distress, which raises the chances of mortality [52, 53].

Inadequate nutrition, heightened susceptibility to infections, and elevated stress levels may also contribute to the elevated mortality risks in premature newborns who have not undergone Kangaroo Mother Care (KMC). Infants who have not experienced KMC are at a higher risk of malnutrition, increasing their vulnerability to infections and other health issues [54, 55]. Premature babies are at a higher risk of infections, and KMC has been linked to a decreased occurrence of infections. The soothing impact of KMC can alleviate stress in premature infants. Newborns who have not received KMC may experience heightened stress levels, which can impact their physiological functions and overall well-being [56, 57].

Preterm neonates who have not initiated exclusive breastfeeding have greater hazards of death as compared with those who have initiated exclusive breastfeeding. Similar findings were observed in studies done in Tanzania [58], Ghana [59], India [60] and two systematic reviews [61, 62].

The increased likelihood of infections resulting from weakened immunity could clarify the greater mortality risks in premature newborns who have not exclusively breastfed [63].

The hazards of death were higher among preterm neonates of mothers who have eclampsia compared to neonates of mothers without eclampsia. A similar finding was observed in a study done in Addis Ababa [64].

The insufficient blood supply to the placenta and challenges during labor and delivery could account for the higher risks of mortality among premature newborns. Babies born prematurely to mothers with Eclampsia may experience complications such as low birth weight, respiratory issues, and underdeveloped organs, increasing their chances of mortality. Additionally, inadequate placental blood flow can lead to intrauterine growth restriction (IUGR), which is linked to low birth weight and a heightened risk of neonatal death. Eclampsia can result in labor and delivery complications like placental abruption or fetal distress, further contributing to negative outcomes for the newborn [65].

Conclusion and recommendation

Preterm neonates were followed for 1840 person-days. The mean time to death was 5.68 days (SD = 5.54). The incidence of mortality was 26.08 (95% CI: 19.65, 34.61) per 1000 person days. Eclampsia, KMC, and exclusive breastfeeding were significant predictors of death among preterm neonates. Awareness should be created for parents and caregivers about the benefits and importance of KMC for preterm neonates. The role of KMC in reducing mortality rates and improving outcomes has to be emphasized for mothers and families. Caregivers have to ensure that mothers and families receive adequate support and resources to facilitate KMC, including access to lactation support, counseling, and assistance with practical aspects of caregiving. Early and thorough nutritional assessments for preterm neonates are essential to identify those who may face challenges with exclusive breastfeeding. Counseling and practical support to enhance breastfeeding initiation and continuation have to be strengthened. Special attention has to be given to the preterm neonates of mothers with eclampsia.