1.Impact of different treatment attitudes on survival and risk factors for poor clinical outcomes in extremely preterm infants: a retrospective real-world study.
Meng-Meng LI ; Shu-Shu LI ; Miao QIAN ; Min ZHANG ; Shu-Ping HAN
Chinese Journal of Contemporary Pediatrics 2025;27(3):269-278
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
2.Factors influencing very preterm birth at less than 32 weeks of gestation: a multicenter retrospective study.
Hong-Juan WANG ; Rena MAIMAITI ; Yan-Ping ZHU ; Yu-Jun ZHANG ; Hai-Li LI ; Areziguli ABUDULA ; Ying LI
Chinese Journal of Contemporary Pediatrics 2025;27(9):1050-1056
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
3.Preterm birth trends and risk factors in a multi-ethnic Asian population: A retrospective study from 2017 to 2023, can we screen and predict this?
Rachel Phoy Cheng CHUN ; Hiu Gwan CHAN ; Gilbert Yong San LIM ; Devendra KANAGALINGAM ; Pamela PARTANA ; Kok Hian TAN ; Tiong Ghee TEOH ; Ilka TAN
Annals of the Academy of Medicine, Singapore 2025;54(5):296-304
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
4.Preterm birth research in Southeast Asia and its association with socioeconomic determinants and burden of disease: A bibliometric analysis.
Koleen C. Pasamba ; Jean Anne B. Toral
Acta Medica Philippina 2024;58(11):72-80
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
5.Analysis of treatment outcomes of extremely preterm infants in a real-world single center.
Lei XIA ; Jia-Wen ZHAO ; Hui-Juan WANG ; Qing QIAO ; Tian-Bo WU ; Hui-Jie WU
Chinese Journal of Contemporary Pediatrics 2024;26(12):1335-1340
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*
6.Association of insulin signaling pathway -related gene polymorphisms and gene -gene interactions with MAFLD in obese children.
Xiang XIAO ; Junxia YAN ; Ning'an XU ; Rutong KANG ; Jiayou LUO ; Yan ZHONG
Journal of Central South University(Medical Sciences) 2023;48(4):516-525
OBJECTIVES:
Insulin signaling pathway plays an important role in metabolic associated fatty liver disease (MAFLD), however, the association between polymorphisms of genes related to insulin signaling pathway and MAFLD remains unclear. This study aims to investigate the association between insulin signaling pathway-related gene polymorphisms and gene-gene interactions with MAFLD susceptibility in obese children so as to provide scientific basis for further study of genetic mechanism.
METHODS:
A total of 502 obese children with MAFLD who admitted to Hunan Provincial Children's Hospital from September 2019 to October 2021, were recruited as a case group, and 421 obese children with non-MAFLD admitted during the same period were recruited as a control group. Socio-demographic information, preterm birth history, eating habits, and exercise status of the subjects were collected by inquiry survey, and anthropometric information was collected by physical measurement. At the same time, 2 mL of venous blood was collected to extract DNA, and the polymorphism of insulin signaling pathway-related genes (5 representative candidate genes, 12 variants) was detected. Multivariate Logistic regression analysis was used to investigate the association between insulin signaling pathway-related gene polymorphisms and MAFLD in obese children.
RESULTS:
After adjusting for confounder factors, INS rs3842748 was significantly associated with the risk of MAFLD in obese children in allele, heterozygous, and dominant models [OR and 95% CI 1.749 (1.053 to 2.905), 1.909 (1.115 to 3.267), 1.862 (1.098 to 3.157), all P<0.05]; INS rs3842752 was significantly associated with the risk of MAFLD in obese children in heterozygous and dominant models [OR and 95% CI 1.736 (1.028 to 2.932), 1.700 (1.015 to 2.846), all P<0.05]. NR1H3 rs3758674 was significantly correlated with the risk of MAFLD in obese children in allele model [OR and 95% CI 0.716 (0.514 to 0.997), P<0.05]. SREBP-1c rs2297508 was significantly associated with the risk of MAFLD in obese children in allele and dominant models [OR and 95% CI 0.772 (0.602 to 0.991) and 0.743 (0.557 to 0.991), all P<0.05]. SREBP-1c rs8066560 was significantly associated with the risk of MAFLD in obese children in allele, heterozygous, and dominant models [OR and 95% CI 0.759 (0.589 to 0.980), 0.733 (0.541 to 0.992), 0.727 (0.543 to 0.974), all P<0.05]. NR1H3 rs3758674 mutant C and SREBP-1c rs2297508 mutant G had interaction in the development of MAFLD in obese children [OR and 95% CI 0.407 (0.173 to 0.954), P<0.05].
CONCLUSIONS
The INS, NR1H3, and SREBP-1c gene polymorphisms in the insulin signaling pathway are associated with the susceptibility of MAFLD in obese children, but the functions and mechanisms of these genes need to be further studied.
Child
;
Infant, Newborn
;
Humans
;
Female
;
Pediatric Obesity/genetics*
;
Sterol Regulatory Element Binding Protein 1
;
Premature Birth
;
Non-alcoholic Fatty Liver Disease
;
Signal Transduction/genetics*
;
Insulins
7.Risk factors for progression to severe pneumonia in children visiting the emergency department with pneumonia.
Yuanyuan CAO ; Li ZHAO ; Hongjun MIAO
Chinese Critical Care Medicine 2023;35(5):528-532
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
8.Clinical factors in predicting extreme preterm birth after cerclage.
Xuping YE ; Yuezhou YANG ; Jun LI ; Kaikai CHANG ; Huan XU
Chinese Medical Journal 2023;136(3):370-372
9.Status of fungal sepsis among preterm infants in 25 neonatal intensive care units of tertiary hospitals in China.
Xin Cheng CAO ; Si Yuan JIANG ; Shu Juan LI ; Jun Yan HAN ; Qi ZHOU ; Meng Meng LI ; Rui Miao BAI ; Shi Wen XIA ; Zu Ming YANG ; Jian Fang GE ; Bao Quan ZHANG ; Chuan Zhong YANG ; Jing YUAN ; Dan Dan PAN ; Jing Yun SHI ; Xue Feng HU ; Zhen Lang LIN ; Yang WANG ; Li Chun ZENG ; Yan Ping ZHU ; Qiu Fang WEI ; Yan GUO ; Ling CHEN ; Cui Qing LIU ; Shan Yu JIANG ; Xiao Ying LI ; Hui Qing SUN ; Yu Jie QI ; Ming Yan HEI ; Yun CAO
Chinese Journal of Pediatrics 2023;61(1):29-35
Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34+0 weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant
;
Infant, Newborn
;
Humans
;
Birth Weight
;
Intensive Care Units, Neonatal
;
Retrospective Studies
;
Tertiary Care Centers
;
Infant, Extremely Low Birth Weight
;
Gestational Age
;
Infant, Extremely Premature
;
Sepsis/epidemiology*
;
Retinopathy of Prematurity/epidemiology*
;
Bronchopulmonary Dysplasia/epidemiology*
10.Management and prognosis of extremely preterm infants with gestational age ≤25+6 weeks.
Yan Liang YU ; Hui Feng ZHONG ; Chun CHEN ; Wen Tao GONG ; Yi Chu HUANG ; Bing Chun LIN ; Zhi Feng HUANG ; Chuan Zhong YANG
Chinese Journal of Pediatrics 2023;61(1):36-42
Objective: To investigate the outcomes including major complications and prognosis of extremely preterm infants with gestational age ≤25+6 weeks. Methods: The cross-sectional study enrolled 233 extremely preterm infants with gestational age ≤25+6 weeks who were admitted to the Department of Neonatology of Shenzhen Maternity and Child Healthcare Hospital from January 2015 to December 2021. The clinical data including perinatal factors, treatments, complications, and prognosis were extracted and analyzed. These extremely preterm infants were also grouped according to gestational age and year of admission to further analyze their survival rate, major complications, causes of death, and long-term outcomes. The comparisons between the groups were performed with Chi-square test and Kruskal-Wallis. Results: Among these 233 extremely preterm infants, 134 (57.5%) were males and 99 (42.5%) females. The gestational age was (24.6±0.9) weeks, the birth weight was 710.0 (605.0,784.5) g, and the overall survival rate was 61.8% (144/233). Among the surviving extremely preterm infants, the earliest gestational age was 22+2 weeks and the lowest birth weight was 390 g. There were 17.6% (41/233) of extremely preterm infants had treatment withdrawn and were discharged in line with the will of guardians. Among the rest 192 extremely preterm infants managed with aggressive treatments, 14 (7.3%) died in hospital and 34 (17.7%) had treatment withdrawn later due to severe complications. Of the 192 extremely preterm infants, 144 (75.0%) survived, and the survival rate increased year by year (χ2=26.28, P<0.001) while the mortality decreased year by year (χ2=14.09, P=0.027). Among the survivors, 20.8%(30/144) had no major complications, and the incidence of complications was also negatively related with the gestational age (χ2=7.24, P=0.044), and the length of invasive ventilation was negatively related to the gestational age (χ2=29.14, P<0.001). In the group of less than 23+6 weeks, all extremely preterm infants had one or more major complications. The follow-up were completed in 122 infants and revealed that delayed motor development, language retardation, and hearing and vision impairment accounted for 17.2% (21/122), 8.2% (10/122) and 17.2% (21/122), respectively. Conclusions: Extremely preterm infants with gestational age ≤25+6 weeks are difficult to treat, but the survival rate of infants undergoing aggressive treatments increases year by year. Although the prevalence of major complications is still high, most extremely preterm infants have acceptable prognosis during follow-up.
Female
;
Humans
;
Infant
;
Infant, Newborn
;
Male
;
Pregnancy
;
Birth Weight
;
Cross-Sectional Studies
;
Gestational Age
;
Infant, Extremely Premature
;
Prognosis
;
Retrospective Studies


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