ArticleBMC pediatrics2026
Association between the systemic immune-inflammation index within 1 h after birth and the risk of neonatal respiratory distress syndrome in preterm infants.
Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeonatal respiratory distress syndrome (NRDS) is a common and potentially life-threatening complication in preterm infants. Current diagnosis relies largely on imaging modalities such as chest X-ray and lung ultrasound, which may not be immediately available after birth. Therefore, accessible biomarkers for early risk stratification are clinically needed. This study investigated the association between the systemic immune-inflammation index (SII), derived from routine complete blood count within 1 h after birth, and the risk of NRDS in preterm infants.
methodsThis retrospective study reviewed clinical data from 451 preterm infants admitted to a tertiary maternal and child health-care hospital in eastern China between January and December 2024. Infants were classified into NRDS and non-NRDS groups. Variables associated with NRDS were screened using univariate analysis and entered into multivariate logistic regression to identify independent predictors, with particular emphasis on SII as a predictive biomarker rather than a direct risk factor. Predictive models incorporating SII with established clinical predictors-gestational age (GA) and birth weight (BW)-were constructed, and their performance was evaluated using receiver operating characteristic (ROC) curve analysis. Gestational age-stratified analyses were further performed (28-32, 32-34, and 34-36 weeks). In infants born at 28-32 weeks, the modifying effect of infection-related factors was explored using premature rupture of membranes (PROM > 18 h).
resultsA total of 403 preterm infants met the inclusion criteria. Multivariate analysis identified GA, peripheral blood glucose, mild asphyxia, HDP, and SII as independent predictors of NRDS (P < 0.05). The combined model including GA, BW, and SII demonstrated the best predictive performance (AUC = 0.809). Gestational age-stratified analysis showed that SII had the highest predictive value in infants born at 28-32 weeks (AUC = 0.771), with declining performance at higher gestational ages. In this subgroup, SII levels and the incidence of premature rupture of membranes (PROM) differed significantly between NRDS and non-NRDS infants, indicating gestational age-specific effects.
conclusionSII is independently associated with NRDS in preterm infants and serves as a valuable predictive biomarker, with its predictive value predominantly observed in those born at 28-32 weeks of gestation. Incorporating SII with gestational age and birth weight improves early risk stratification for NRDS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.