OBJECTIVE

Preterm birth is a major cause of complications leading to death of children under 5 years old. Infections are important to be identified because antimicrobial treatment may prevent or delay progression to preterm delivery. This study determined if routine screening tests of infections are useful in the clinical management of preterm labor.

A cross-sectional (descriptive) study was done involving 417 pregnant patients who had preterm labor and was subsequently admitted from 2015 to 2019 at a tertiary hospital in the Philippines, using review of past medical records, inpatient charts, and admission charts.

Majority of the patients delivered at less than 34 weeks, most of the culture results turned out negative, and urine tests were more commonly employed as screening tests for preterm labor. The endocervical and rectovaginal swab studies had no significant growths. Asymptomatic bacteriuria was diagnosed in 1 out of 10 patients and they were subsequently started on antibiotic treatment. Majority of the patients who were given antibiotics delivered within 48 hours from admission. 

The routine use of cultures in the assessment of preterm labor is costly and is unlikely to be helpful in the clinical management of patients in preterm labor.

INTRODUCTION: Preterm birth (PTB) remains a leading cause of perinatal morbidity and mortality worldwide. Understanding Singapore's PTB trends and associated risk factors can inform effective strategies for screening and intervention. This study analyses PTB trends in Singapore from 2017 to 2023, identifies risk factors in this multi-ethnic population and evaluates a predictive model for PTB. METHOD: A retrospective analysis of all PTBs between 22+0 and 36+6 weeks of gestation, from 1 January 2017 to 31 December 2023, was performed by extracting maternal and neonatal data from electronic medical records. These PTBs were taken from the registry of births for Singapore and SingHealth cluster data. Cochran- Armitage trend test and multinomial logistic regression were used. An extreme gradient boosting (XGBoost) model was developed to test and predict the risk of PTB. RESULTS: The PTB rate in Singapore did not show a significant change. However, there was modest downward trend in the SingHealth population from 11.3% to 10.2%, mainly in late spontaneous PTBs (sPTBs). sPTBs accounted for ∼60% of PTBs. Risk factors for very/extreme sPTB included Chinese ethnicity, age ≥35 years, body mass index (BMI) ≥23 kg/m², being unmarried, primiparity, twin pregnancy and maternal blood group AB. The XGBoost model achieved an area under the receiver operating characteristic curve of 0.75, indicating moderate ability to predict PTB. CONCLUSION The overall PTB rate in Singapore has not improved. This study underscores the importance of local factors, particularly advanced maternal age, BMI, primiparity, unmarried, Chinese ethnicity and maternal blood group AB influencing PTB risk. Artificial intelligence methods show promise in improving PTB risk stratification, ultimately supporting personalised care and intervention.
Humans ; Singapore/epidemiology* ; Retrospective Studies ; Female ; Risk Factors ; Premature Birth/ethnology* ; Pregnancy ; Adult ; Infant, Newborn ; Asian People/statistics & numerical data* ; Gestational Age ; Body Mass Index ; Maternal Age ; Logistic Models ; Ethnicity

OBJECTIVES: To explore the impact of different treatment attitudes on the survival status of extremely preterm infants (EPIs) and evaluate the mortality and occurrence of severe complications in actively treated infants, as well as their risk factors. METHODS: A retrospective analysis was conducted on perinatal data of EPIs born between January 1, 2016, and December 31, 2023, who were admitted to the neonatal intensive care unit of Nanjing Women and Children's Healthcare Hospital within 24 hours after birth. The analysis focused on the attributable risk of mortality associated with different treatment attitudes in EPIs of varying gestational ages and birth weights. A multivariate logistic regression model was used to analyze the risk factors for mortality and severe complications in the actively treated group. RESULTS: A total of 485 EPIs were included. As gestational age or birth weight increased, the attributable risk of mortality with care withdrawal increased. Active treatment significantly improved the survival status of EPIs born at a gestational age of ≥24 weeks. Multivariate logistic regression analysis indicated that lower gestational age and the need for mechanical ventilation within 72 hours after birth were independent risk factors for mortality or severe complications in EPIs (P<0.05). CONCLUSIONS Active treatment can significantly extend the survival time of EPIs born at a gestational age of ≥24 weeks. Lower gestational age and the need for mechanical ventilation within 72 hours after birth are closely associated with poor survival outcomes in EPIs.
Humans ; Retrospective Studies ; Infant, Extremely Premature ; Risk Factors ; Infant, Newborn ; Female ; Male ; Gestational Age ; Logistic Models ; Birth Weight

OBJECTIVES: To explore the influencing factors for very preterm birth at a gestational age of <32 weeks in the Xinjiang Uygur Autonomous Region. METHODS: Clinical data of women with preterm deliveries and their newborns admitted to five hospitals in Xinjiang from January 2023 to December 2024 were retrospectively collected. The subjects were divided by gestational age into very preterm (<32 weeks of gestation) and moderate/late preterm (32-36⁺⁶ weeks of gestation) groups. Risk factors associated with very preterm birth were analyzed. RESULTS: A total of 4 105 pregnant women with preterm deliveries were included, with 793 cases (19.32%) in the very preterm group and 3 312 cases (80.68%) in the moderate/late preterm group. The factors significantly associated with very preterm birth were as following: hypertensive disorders of pregnancy (OR=1.785, 95%CI: 1.492-2.135, P<0.05), excessive gestational weight gain (GWG, OR=2.002, 95%CI: 1.672-2.397, P<0.05), insufficient GWG (OR=1.746, 95%CI: 1.326-2.300, P<0.05), chorioamnionitis (OR=2.163, 95%CI: 1.694-2.763, P<0.05), premature rupture of membranes ≥18 hours (OR=2.158, 95%CI: 1.599-2.912, P<0.05), placental abruption (OR=2.228, 95%CI: 1.646-3.014, P<0.05), and ≤7 prenatal visits (OR=3.419, 95%CI: 2.882-4.055, P<0.05). CONCLUSIONS In the Xinjiang Uygur Autonomous Region, hypertensive disorders of pregnancy, excessive or insufficient GWG, chorioamnionitis, premature rupture of membranes ≥18 hours, placental abruption, and ≤7 prenatal visits are risk factors for very preterm birth. Strengthening high-risk pregnancy management is necessary for reducing the incidence of very preterm birth.
Humans ; Female ; Retrospective Studies ; Pregnancy ; Premature Birth/etiology* ; Gestational Age ; Adult ; Risk Factors ; Infant, Newborn ; Gestational Weight Gain

OBJECTIVE

Preterm birth is a major cause of complications leading to death of children under 5 years old. Infections are important to be identified because antimicrobial treatment may prevent or delay progression to preterm delivery. This study determined if routine screening tests of infections are useful in the clinical management of preterm labor.

A cross-sectional (descriptive) study was done involving 417 pregnant patients who had preterm labor and was subsequently admitted from 2015 to 2019 at a tertiary hospital in the Philippines, using review of past medical records, inpatient charts, and admission charts.

Majority of the patients delivered at less than 34 weeks, most of the culture results turned out negative, and urine tests were more commonly employed as screening tests for preterm labor. The endocervical and rectovaginal swab studies had no significant growths. Asymptomatic bacteriuria was diagnosed in 1 out of 10 patients and they were subsequently started on antibiotic treatment. Majority of the patients who were given antibiotics delivered within 48 hours from admission. 

The routine use of cultures in the assessment of preterm labor is costly and is unlikely to be helpful in the clinical management of patients in preterm labor.

Objective: The aim of this study was to assess research productivity on preterm birth (PTB) in Southeast Asian (SEA) countries and its correlation with socioeconomic characteristics and burden of disease. Methods: A systematic review of preterm birth publications by SEA authors indexed in Scopus, PubMed, ClinicalTrials. gov, and Cochrane was done. Case reports, cohorts, control trials, reviews and cost analysis studies done by SEA researches involving pathophysiology, diagnosis, management, and complications of preterm birth was included in the study while published letters to editors were excluded. The correlation of bibliometric indices, namely Scopus citations, and PlumX metrics indices (citations, usage, captures, mentions, and social media), with socioeconomic status and burden of preterm birth in SEA countries were analyzed by computing for the correlation coefficient (r) and p-value at an alpha of 0.05. Results: Thailand had the highest number of publications and the highest count across all bibliometric indices among all countries in SEA. The percent gross domestic product (GDP) per capita allotted for research and development (R & D) had direct correlation with publications and captures while crude birth rates had indirect correlation with publications, citations, and captures. Neonatal mortality had indirect correlation with publications and captures. Conclusion Support for research and development is essential to increase research productivity in SEA, which in turn may help in finding solutions to decrease the rate of preterm birth in the region.
Bibliometric Analysis ; Bibliometrics ; Preterm Birth ; Premature Birth ; Gross Domestic Product ; Asia, Southeastern

OBJECTIVES: To study the treatment outcomes of extremely preterm infants. METHODS: A retrospective analysis was performed for the clinical data of extremely preterm infants who were admitted to the neonatal intensive care unit of the Third Affiliated Hospital of Zhengzhou University from January 2016 to December 2022. The infants were divided into a non-in-hospital death group and a survival group. SPSS 29.0 was used for data analysis. RESULTS: A total of 422 extremely preterm infants were included, of which 155 were in the non-in-hospital death group and 267 in the survival group. The gestational age, birth weight, cesarean section rate, and proportion of mothers with premature rupture of membranes >18 hours in the non-in-hospital death group were all lower than those in the survival group (P<0.05). In contrast, the proportions of Apgar score ≤3 at 1 minute, intubation, neonatal respiratory distress syndrome, early-onset sepsis, periventricular-intraventricular hemorrhage (grades III-IV), and pneumorrhagia were higher in the non-in-hospital death group compared to the survival group (P<0.05). CONCLUSIONS Low gestational age, low birth weight, the history of birth asphyxia, severe intracranial hemorrhage, and pneumorrhagia may be the main causes of non-in-hospital death in extremely preterm infants, and therefore, perinatal health care should be enhanced to reduce the onset of asphyxia and severe diseases.
Humans ; Infant, Extremely Premature ; Infant, Newborn ; Female ; Retrospective Studies ; Male ; Treatment Outcome ; Gestational Age ; Apgar Score ; Birth Weight ; Respiratory Distress Syndrome, Newborn/mortality*

OBJECTIVE: To determine the risk factors for developing severe pneumonia in children under 5 years old with pneumonia. METHODS: A case-control study was conducted 246 children with pneumonia between 2 and 59 months old who were admitted to the department of emergency of the Children's Hospital of Nanjing Medical University from May 2019 to May 2021 were enrolled. The children with pneumonia were screened according to the diagnostic criteria of the World Health Organization (WHO). Case information of the children was reviewed to obtain relevant socio-demographic, nutritional status and potential risk factors. The independent risk factors for severe pneumonia were analyzed by univariate analysis and multivariate Logistic regression respectively. RESULTS: Among the 246 patients with pneumonia, 125 were male and 121 were female. The average age was (21.0±2.9) months, 184 children with severe pneumonia. The results of population epidemiological characteristics showed that there were no significant differences in gender, age and place of residence between the severe pneumonia group and the pneumonia group. Prematurity, low birth weight, congenital malformation, anemia, length of intensive care unit (ICU) stay, nutritional support, treatment delay, malnutrition, invasive treatment, history of respiratory infection were all related factors affecting the occurrence of severe pneumonia (severe pneumonia group vs. pneumonia group: the proportion of premature infants was 9.52% vs. 1.23%, low birth weight was 19.05% vs. 6.79%, congenital malformation was 22.62% vs. 9.26%, anemia was 27.38% vs. 16.05%, length of ICU stay < 48 hours was 63.10% vs. 38.89%, enteral nutritional support was 34.52% vs. 20.99%, treatment delay was 42.86% vs. 29.63%, malnutrition was 27.38% vs. 8.64%, invasive treatment was 9.52% vs. 1.85%, respiratory tract infection history was 67.86% vs. 40.74%, all P > 0.05). However, breastfeeding, type of infection, nebulization, use of hormones, use of antibiotics, etc. were not risk factors affecting severe pneumonia. Multivariate Logistic regression analysis showed that history of premature birth, low birth weight, congenital malformation, treatment delay, malnutrition, invasive treatment, and history of respiratory infection were independent risk factors for severe pneumonia [history of premature birth: odds ratio (OR) = 2.346, 95% confidence interval (95%CI) was 1.452-3.785; low birth weight: OR = 15.784, 95%CI was 5.201-47.946; congenital malformation: OR = 7.135, 95%CI was 1.519-33.681; treatment delay: OR = 11.541, 95%CI was 2.734-48.742; malnutrition: OR = 14.453, 95%CI was 4.264-49.018; invasive treatment: OR = 6.373, 95%CI was 1.542-26.343; history of respiratory infection: OR = 5.512, 95%CI was 1.891-16.101, all P < 0.05]. CONCLUSIONS Premature birth history, low birth weight, congenital malformation, delayed treatment, malnutrition, invasive treatment, and history of respiratory infection are independent risk factors for severe pneumonia in children under 5 years old.
Infant ; Pregnancy ; Humans ; Child ; Female ; Male ; Child, Preschool ; Case-Control Studies ; Premature Birth ; Pneumonia ; Respiratory Tract Infections ; Emergency Service, Hospital ; Malnutrition

Objective: To analyze the incidence of preterm birth based on pre-pregnancy body mass index (BMI) stratification and explore the associated factors of preterm birth among pregnant women at different BMI stratifications. Methods: From February 2018 to December 2020, pregnant women who participated in China Birth Cohort Study (CBCS) and gave birth at Beijing Obstetrics and Gynecology Hospital were enrolled as the study subjects. Electronic Data Capture System and standard structured questionnaires were used to collect data related to pre-pregnancy, pregnancy, and delivery for pregnant women. Pregnant women were divided into the low-weight group, normal-weight group and overweight group based on their pre-pregnancy BMI. A Cox proportional hazards model was used to analyze the associated factors of preterm birth among pregnant women with different BMI before pregnancy. Results: A total of 27 195 singleton pregnant women were included, with a preterm birth rate of 5.08% (1 381/27 195). The preterm birth rates in the low-weight group, normal-weight group and overweight group were 4.29% (138/3 219), 4.63% (852/18 390) and 7.00% (391/5 586) respectively (P<0.001). After adjusting for relevant factors, the Cox proportional hazards model showed that the risk of preterm birth in the overweight group was 1.457 times higher than that in the normal-weight group (95%CI: 1.292-1.643). Preeclampsia-eclampsia (HR=2.701, 95%CI: 1.318-5.537) was the associated factor for preterm birth in the low-weight group. Advanced maternal age (HR=1.232, 95%CI: 1.054-1.441), history of preterm birth (HR=4.647, 95%CI: 3.314-6.515), vaginal bleeding in early pregnancy (HR=1.613, 95%CI: 1.380-1.884), and preeclampsia-eclampsia (HR=3.553, 95%CI: 2.866-4.404) were associated factors for preterm birth in the normal-weight group. Advanced maternal age (HR=1.473, 95%CI: 1.193-1.818), history of preterm birth (HR=3.209, 95%CI: 1.960-5.253), vaginal bleeding in early pregnancy (HR=1.636, 95%CI: 1.301-2.058), preeclampsia-eclampsia (HR=2.873, 95%CI:2.265-3.643), and pre-gestational diabetes mellitus (HR=1.867, 95%CI: 1.283-2.717) were associated factors for preterm birth in the overweight group. Conclusion: Pre-pregnancy overweight is an associated factor for preterm birth, and there are significant differences in the associated factors of preterm birth among pregnant women with different BMI before pregnancy.
Pregnancy ; Infant, Newborn ; Female ; Humans ; Body Mass Index ; Overweight/epidemiology* ; Premature Birth/epidemiology* ; Pre-Eclampsia/epidemiology* ; Cohort Studies ; Eclampsia ; Incidence ; Risk Factors ; Thinness/epidemiology*

Objective: To investigate the association between gestational diabetes mellitus (GDM) and preterm birth subtypes. Methods: Based on the cohort of pregnant women in Anqing Prefectural Hospital, the pregnant women who received prenatal screening in the first or second trimesters were recruited into baseline cohorts; and followed up for them was conducted until delivery, and the information about their pregnancy status and outcomes were obtained through electronic medical record system and questionnaire surveys. The log-binomial regression model was used to explore the association between GDM and preterm birth [iatrogenic preterm birth, spontaneous preterm birth (preterm premature rupture of membranes and preterm labor)]. For multiple confounding factors, the propensity score correction model was used to compute the adjusted association. Results: Among the 2 031 pregnant women with a singleton delivery, the incidence of GDM and preterm birth were 10.0% (204 cases) and 4.4% (90 cases) respectively. The proportions of iatrogenic preterm birth and spontaneous preterm birth in the GDM group (n=204) were 1.5% and 5.9% respectively, while the proportions in non-GDM group (n=1 827) were 0.9% and 3.2% respectively, and the difference in the proportion of spontaneous preterm birth between the two groups was significant (P=0.048). Subtypes of spontaneous preterm were further analyzed, and the results showed that the proportions of preterm premature rupture of membranes and preterm labor in the GDM group were 4.9% and 1.0% respectively, while the proportions in the non-GDM group were 2.1% and 1.1% respectively. It showed that the risk of preterm premature rupture of membranes in GDM pregnant women was 2.34 times (aRR=2.34, 95%CI: 1.16-4.69) higher than that in non-GDM pregnant women. Conclusions: Our results showed that GDM might increase the risk of preterm premature rupture of membranes. No significant increase in the proportion of preterm labor in pregnant women with GDM was found.
Infant, Newborn ; Female ; Pregnancy ; Humans ; Premature Birth ; Diabetes, Gestational ; Obstetric Labor, Premature ; Hospitals ; Iatrogenic Disease