Risk Factors for Poor Prognosis in Neonatal Necrotizing Enterocolitis
NCT ID: NCT07249697
Last Updated: 2025-12-03
Study Results
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Basic Information
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COMPLETED
118 participants
OBSERVATIONAL
2017-07-01
2025-06-30
Brief Summary
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Purpose of the study: NEC can lead to severe conditions like bowel perforation or even death, and it's hard for doctors to spot high-risk babies early with current tools. This study aims to analyze the babies' clinical information (e.g., birth weight, symptoms like belly swelling or bloody stools), blood test results (e.g., lactate levels, white blood cell counts), and organ function scores (nSOFA scores) to find indicators that can predict whether NEC will get worse or cause death.
Questions the study tries to answer: Can combining metabolic indicators (like lactate), blood test parameters, and organ function scores better predict if a newborn with NEC will develop perforated NEC (a more severe form where the bowel has holes) or die during hospitalization? Are these combined indicators more reliable than single indicators alone? Study hypothesis: We guess that integrating metabolic markers (such as lactate), blood routine parameters, and nSOFA scores will be more accurate than using any single indicator to predict the progression of NEC and the risk of death in affected newborns.
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Detailed Description
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NEC pathophysiology involves intestinal ischemia-reperfusion injury, excessive immune activation, and microbial dysbiosis. Serum lactate (a marker of hypoperfusion/anaerobic metabolism) correlates with NEC severity but lacks specificity; peripheral blood cell (CBC) indices are accessible but understudied in combination with lactate. The Neonatal Sequential Organ Failure Assessment (nSOFA) score predicts overall NEC mortality but fails to stratify risk for perforated NEC (PNEC), a high-risk subtype. This study aims to address gaps by integrating metabolic (lactate), hematologic (CBC), and organ dysfunction (nSOFA) metrics for NEC prognosis.
2. Study Design and Conduct This is a retrospective cohort study conducted at the Guangzhou Women and Children's Medical Center, approved by the institutional ethics committee and compliant with the Helsinki Declaration. The study period is January 2017 and December 2022; eligible participants are identified via retrospective review of electronic medical records (EMRs), with data extracted in a structured manner.
3. Data Collection
Structured EMR extraction captures key variables:
Neonatal history: Sex, gestational age, birth weight, birth asphyxia (Apgar scores), small for gestational age (SGA) status, preterm complications (e.g., patent ductus arteriosus \[PDA\], respiratory distress syndrome \[RDS\]), feeding pattern, mechanical ventilation use.
Maternal history: Delivery mode, chorioamnionitis, premature rupture of membranes.
NEC-related parameters: Bell's staging, clinical manifestations (e.g., abdominal distension, pneumoperitoneum), complications (sepsis, shock), therapeutic interventions (surgery), in-hospital mortality.
Laboratory/organ dysfunction indicators: Serum lactate (at NEC onset), CBC parameters (WBC, neutrophils, lymphocytes, platelets) and derived inflammatory indices, nSOFA score (at NEC onset).
4. Statistical Analysis
Analyses use SPSS 26.0 and GraphPad Prism 9.0:
Data expression: Normally distributed variables (mean ± SD), skewed variables (median \[IQR\]), categorical variables (frequency %).
Intergroup comparisons: Chi-square/Fisher's exact test (categorical), t-test/Mann-Whitney U test (continuous).
Multivariate logistic regression: Includes variables with p\<0.05 from univariate analysis to identify independent predictors.
Mediation analysis (PROCESS macro 4.1, 1000 bootstraps): Decomposes total effects into direct/indirect paths.
ROC curve analysis: Evaluates predictive performance of single/combined biomarkers (AUC as metric). All tests are two-tailed; p\<0.05 is significant.
5. Study Objectives Primary: Identify indicators predicting NEC progression and in-hospital mortality via analysis of clinical, metabolic, and laboratory data.
Secondary: Explore integrated biomarkers for NEC severity stratification (e.g., Bell's staging, surgical need) to optimize clinical decision-making.
6. Participant Protection All data are de-identified before analysis and stored in a password-protected database (accessible only to the study team). Informed consent is obtained from participants' legal representatives, who are informed of the right to withdraw at any time without penalty.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Mild NEC group
Bell's stage I and IIa
Observational retrospective cohort study
Observational retrospective cohort study, data collection was performed via structured extraction from electronic medical records: Includingclinical characteristics, metabolic indicators, laboratory parameters, prognosis, and outcomes.
Severe NEC group
Bell's stage IIb and III
Observational retrospective cohort study
Observational retrospective cohort study, data collection was performed via structured extraction from electronic medical records: Includingclinical characteristics, metabolic indicators, laboratory parameters, prognosis, and outcomes.
Surgical group
Patients with NEC who underwent surgical treatment
Observational retrospective cohort study
Observational retrospective cohort study, data collection was performed via structured extraction from electronic medical records: Includingclinical characteristics, metabolic indicators, laboratory parameters, prognosis, and outcomes.
Non-surgical group
Patients with NEC who did not undergo surgical treatment but opted for conservative treatment
Observational retrospective cohort study
Observational retrospective cohort study, data collection was performed via structured extraction from electronic medical records: Includingclinical characteristics, metabolic indicators, laboratory parameters, prognosis, and outcomes.
Interventions
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Observational retrospective cohort study
Observational retrospective cohort study, data collection was performed via structured extraction from electronic medical records: Includingclinical characteristics, metabolic indicators, laboratory parameters, prognosis, and outcomes.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
2. Hereditary metabolic disorders;
3. refusal of participation.
1 Day
3 Months
ALL
Yes
Sponsors
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Guangzhou Women and Children's Medical Center
OTHER
Responsible Party
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Wei Zhou
Principal Investigator
Locations
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Guangzhou Women and Children's Medical Center
Guangdong, Guangdong, China
Countries
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References
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Clyman RI, Jin C, Hills NK. A role for neonatal bacteremia in deaths due to intestinal perforation: spontaneous intestinal perforation compared with perforated necrotizing enterocolitis. J Perinatol. 2020 Nov;40(11):1662-1670. doi: 10.1038/s41372-020-0691-4. Epub 2020 May 20.
Kim JH, Sampath V, Canvasser J. Challenges in diagnosing necrotizing enterocolitis. Pediatr Res. 2020 Aug;88(Suppl 1):16-20. doi: 10.1038/s41390-020-1090-4.
Roberts AG, Younge N, Greenberg RG. Neonatal Necrotizing Enterocolitis: An Update on Pathophysiology, Treatment, and Prevention. Paediatr Drugs. 2024 May;26(3):259-275. doi: 10.1007/s40272-024-00626-w. Epub 2024 Apr 2.
Wang Y, Lai L, Zhang Q, Zheng L. Lactate acid level and prognosis of neonatal necrotizing enterocolitis: a retrospective cohort study based on pediatric-specific critical care database. J Pediatr (Rio J). 2023 May-Jun;99(3):278-283. doi: 10.1016/j.jped.2022.11.005. Epub 2022 Dec 16.
Kislal FM, Polat CC, Ergul E, Acikalin AA, Guven D, Gundogan E, Sarici D. Can lactate be valuable in early diagnosis and prognosis of neonatal sepsis? Niger J Clin Pract. 2023 Sep;26(9):1319-1325. doi: 10.4103/njcp.njcp_54_23.
El-Abd Ahmed A, Hassan MH, Abo-Halawa N, Abdel-Razik GM, Moubarak FA, Sakhr HM. Lactate and intestinal fatty acid binding protein as essential biomarkers in neonates with necrotizing enterocolitis: ultrasonographic and surgical considerations. Pediatr Neonatol. 2020 Oct;61(5):481-489. doi: 10.1016/j.pedneo.2020.03.015. Epub 2020 Apr 5.
Li B, Chen Y, Yang Z, Sun X, Tian C, Liu J, Yuan L, Dai K. Lactate/albumin ratio as a prognostic biomarker for in-hospital mortality in pediatric patients with necrotizing enterocolitis. BMC Pediatr. 2025 Feb 4;25(1):93. doi: 10.1186/s12887-025-05439-5.
Lewis AN, de la Cruz D, Wynn JL, Frazer LC, Yakah W, Martin CR, Yang H, Itriago E, Unger J, Hair AB, Miele J, Sullivan BA, Husain A, Good M. Evaluation of the Neonatal Sequential Organ Failure Assessment and Mortality Risk in Preterm Infants with Necrotizing Enterocolitis. Neonatology. 2022;119(3):334-344. doi: 10.1159/000522560. Epub 2022 Mar 21.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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EK-NEC20240705
Identifier Type: -
Identifier Source: org_study_id
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