Relationship between hematological parameters and bronchopulmonary dysplasia in premature infants

Jiang, Junsheng; Mao, Yueyan; Wu, Jianhua; Zhou, Qian

doi:10.1177/03000605231187802

Cited by 5 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous research indicated that Many biomarkers, such as CRP, and PCT, could be used in the auxiliary diagnosis of sepsis, but their serum levels may be affected by many other stimulations other than infection. [ 22 – 24 ] therefore, compared with HDL and LDL, their predictive abilities appeared low. That’s consistent with our research.…”

Section: Discussionmentioning

confidence: 99%

The potential role of serum lipoprotein in children with sepsis

Wu,

Su,

Jiang

et al. 2023

Medicine

Self Cite

View full text Add to dashboard Cite

To determine whether serum lipoprotein is correlated with sepsis on the day of admission and help with early warning, identification, and intervention for sepsis. This retrospective study involved all children admitted to our pediatric intensive care unit from January 2021 to June 2023. Clinical data of involved patients were collected via inquiring databases of our hospital. The Pediatric Risk of Mortality and Pediatric Index of Mortality II scores were calculated, multivariate analysis was conducted to evaluate the independence of the association between serum lipoprotein and the risk of sepsis on the day of admission. This study involved 88 children (48 with sepsis, 40 non-sepsis). The sepsis group had a lower level of high-density lipoprotein (HDL), total cholesterol, and low-density lipoprotein (LDL). The CRP, white blood cell, and procalcitonin (PCT) were considerably higher than the non-sepsis group. After adjusting for covariates, logistic regression analysis suggested that the CRP, PCT, HDL, Pediatric Risk of Mortality score, Pediatric Index of Mortality II score and LDL were independent risk factors for sepsis. Moreover, the AUC of CRP, PCT, HDL, and LDL were 0.58, 0.76, 0.82, and 0.86, respectively. Our results may indicate that serum lipoprotein is correlated with sepsis on the day of admission and may help with early warning, identification, and intervention for sepsis.

show abstract

Section: Discussionmentioning

confidence: 99%

The potential role of serum lipoprotein in children with sepsis

Wu,

Su,

Jiang

et al. 2023

Medicine

Self Cite

View full text Add to dashboard Cite

show abstract

“…Summarizing the data obtained, it should be noted that the indicators of erythrocytes, hemoglobin, hematocrit and platelets were inversely correlated with the GW of newborns and had statistically signifi cantly lower values compared to control values (p<0. 0001), probably indicating a weak adaptive response to the combined eff ect of intra-and postnatal adverse factors against the background of severe combined somatic dysfunction, and also due to the suppression of hematopoietic activation under the conditions of hypoxia in MFD [25,26]. Levels of leukocytes, especially polymorphonuclear neutrophils (PMN), were statistically signifi cantly higher, which is characteristic of lower GA compared to controls (p<0.0001).…”

Section: Introductionmentioning

confidence: 98%

“…The hematopoietic system plays an important role in providing compensatory and adaptive mechanisms in conditions of premature birth, having certain characteristics in conditions of morphological and functional immaturity of the organism [25,26]. The analysis of the complete blood count (CBC) on the fi rst day of life in premature infants of the observation groups showed that the average values of most indicators diff er between groups of newborns and have a clear correlation with the general condition and GA, respectively.…”

Section: Introductionmentioning

confidence: 99%

Predictive Factors and Clinical and Paraclinical Features of Urinary Tract Dysfunction in Preterm Infants

Hodovanets,

Frunza

2023

Neonatol. hìr. perinat. med.

View full text Add to dashboard Cite

Acute kidney injury is a multifactorial clinical pathological syndrome that falls within the critical conditions of the early neonatal period and independently associates with high rates of morbidity and mortality. The frequency of acute kidney injury in critically ill preterm infants varies signifi cantly, ranging from 25 % to 77 % according to diff erent studies. Numerous scientifi c investigations describe an inversely proportional correlation between gestational age and birth weight. Of particular importance in terms of pathophysiology is the understanding of the concept of ‘functional acute kidney injury,’ clinically characterized by a reduction in glomerular fi ltration rate in the absence of markers of tubular damage. Consequently, it represents potentially reversible changes in renal function, sensitive to both the duration and depth of the alterations, which precede the development of injury.Aim of the study: To conduct an analysis of clinical characteristics, risk factors, and results of paraclinical examinationsin preterm infants with gestational ages of 25-31 and 32-33 weeks, who exhibited signs of severe functional disturbances in the urinary system during the early neonatal period as part of complex perinatal pathology.Materials and Methods: A comprehensive clinical and paraclinical examination was conducted on 93 preterm infants with severe perinatal pathology. Group I comprised 30 infants with gestational ages of 25-31 weeks, while Group II consisted of 32 infants with gestational ages of 32-33 weeks. Group III included 31 conditionally healthy preterm infants with gestational ages of 34-36 weeks. Verifi cation of the diagnosis of renal dysfunction was performed according to the recommended international classifi cation ‘Kidney Disease: Improving Global Outcomes’ with the modifi cation by J. G. Jetton and D. J. Askenazi (2015). The degree of severity of polyorgan defi ciency in perinatal pathology in newborns was assessed using the Neonatal Multiple Organ Dysfunction Score. The eff ectiveness of therapeutic interventions was evaluated using the Neonatal Therapeutic Intervention Scoring scale. The severity of the newborns’ condition during observation was assessed using the Score for Neonatal Acute Physiology scale. The research was conducted in accordance with the fundamental principles of Good Clinical Practice (GCP, 1996), the Council of Europe Convention on Human Rights and Biomedicine (April 4, 1997), the Helsinki Declaration of the World Medical Association on Ethical Principles for Medical Research Involving Human Subjects (1964-2008), as well as the Ministry of Health of Ukraine Order No. 690 dated September 23, 2009 (amended by the Ministry of Health of Ukraine Order No. 523 dated July 12, 2012).Statistical analysis of the obtained research results was performed using the software packages «Statistica 10» (StatSoft Inc.,USA, 2010) and MedCalc Software (Version 16.1), with calculations including the odds ratio excess coeffi cient (Chi-squared),odds ratio (OR), and 95 % confi dence interval (CI). Statistically signifi cant diff erences between groups were considered ata signifi cance level of p < 0.005. The dissertation work was conducted within the scientifi c focus of the Department of Pediatrics, Neonatology, and Perinatal Medicine at Bukovinian State Medical University. The research themes included: a research project on ‘Improvement of Prognostic, Diagnostic, and Therapeutic Approaches to Perinatal Pathology in Newborns and Infants, Optimization of Followup and Rehabilitation Schemes’ (State registration number 0115U002768, duration from 01.2015 to 12.2019); and a research project on ‘Chronobiological and Adaptive Aspects, as well as Features of Vegetative Regulation in Pathological Conditions in Children of Diff erent Age Groups’ (State registration number 0122U002245, duration from 01.2020 to 12.2024). Research Results: The obtained results demonstrated statistically signifi cant associations between the severity of perinatal pathology in preterm infants and the depth of dysfunction in the urinary system, as well as a complex set of factors complicating the course of pregnancy and childbirth in mothers, thereby infl uencing the postnatal adaptation of the child. Among the reasons for complicated pregnancies, notable factors included anemia, cardiovascular and urinary system pathology, TORCH infections, isthmocervical insuffi ciency, disturbances in fetal- placental blood fl ow, the threat of spontaneous abortion, and premature labor. Anomalies such as abnormal fetal presentation, fetal distress, premature rupture of membranes, and urgent cesarean section were more likely tooccur in women in this group. The course of perinatal pathology in newborns with gestational ages less than 33 weeks at birth was predominantly severe, with some children diagnosed with multiple organ dysfunction syndrome, one manifestation of which was acute kidney injury. Changes in the indicators of general and biochemical blood analysis in newborns refl ected low compensatory reserves of the neonatal organism in the context of experienced hypoxia and morpho- functional immaturity associated with premature birth.Conclusions: The formation of renal dysfunction in preterm infants in the early neonatal period has a complex polyetiological nature associated with a set of adverse factors during pregnancy and childbirth in mothers. Critically ill newborns represent a primary and challenging pediatric cohort in which this pathological syndrome is linked to high neonatal mortality rates and the development of functional and chronic pathology of the urinary system in later years, justifying the need for in-depth scientifi c research to consolidate perspectives on providing medical care to preterm infants.

show abstract

Construction and Application of Early Stratification Dynamic Prediction Model for Bronchopulmonary Dysplasia in Extremely Premature / Very Low Birth Weight Infants

An,

Yang,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

Objective To investigate the independent risk factors for Bronchopulmonary Dysplasia (BPD) at different time points within the first week in extremely premature/very low birth weight infants and to construct an early stratification dynamic prediction model for BPD through machine learning, aiming to achieve dynamic prediction of BPD for the early identification of high-risk groups and preemptive prevention. Methods A retrospective collection of clinical data was conducted on premature infants admitted to the Neonatology Department of the First Affiliated Hospital of Xinjiang Medical University from January 2017 to December 2022, with gestational age (GA) < 32 weeks or birth weight (BW) < 1500g. Eligible subjects were randomly divided into training and validation sets in a 7:3 ratio for model building and internal validation. Prospective clinical data from preterm infants admitted to six neonatal rescue centers in various districts of Xinjiang from January to October 2023 were independently collected to validate the practical application value of each model. Clinical parameters were collected, and study participants were divided into three groups: no BPD, mild BPD, and moderate to severe BPD (msBPD). Machine learning predictive models for BPD stratification employing logistic regression (LR), random forest (RF), XGBoost (XGB), and gradient boosting decision tree (GBDT) were constructed for postnatal days 1, 3, and 7. Comprehensive evaluation was performed to select the optimal model at each time point and proceed to external validation. Results The study retrospectively gathered data from 554 preterm infants (286 no BPD, 212 mild, and 56 msBPD cases). Prospectively, 387 preterm infants (208 no BPD, 138 mild, and 41 msBPD cases). On ordinal logistic regression, GA, BW, prenatal steroids, interruption of umbilical blood flow, severe preeclampsia, FIO2, CRP, RBC, systemic inflammatory response index (SIRI), prognostic nutritional index, platelet mass index, alveolar-arterial oxygen difference, and oxygenation index were independent risk factors for BPD severity at different times after birth. After comprehensive evaluation, the LR and XGB models were identified as better BPD stratification prediction models for postnatal days 1, 3, and 7 (AUC = 0.810,0.837 and 0.813 respectively). Conclusion Early stratification dynamic prediction machine learning models for BPD have been constructed for postnatal days 1, 3, and 7 in extremely premature/very low birth weight infants. These may serve as effective tools for the screening of high-risk BPD populations.

show abstract

Relationship between hematological parameters and bronchopulmonary dysplasia in premature infants

Cited by 5 publications

References 32 publications

The potential role of serum lipoprotein in children with sepsis

The potential role of serum lipoprotein in children with sepsis

Predictive Factors and Clinical and Paraclinical Features of Urinary Tract Dysfunction in Preterm Infants

Construction and Application of Early Stratification Dynamic Prediction Model for Bronchopulmonary Dysplasia in Extremely Premature / Very Low Birth Weight Infants

Contact Info

Product

Resources

About