Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"
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Impact of the systemic inflammatory indices on birth weight: A prospective observational study
No full textObjectives: Several studies explored the role of maternal systemic inflammation indices during pregnancy. Different conditions, such as gestational hypertension, preeclampsia, and gestational diabetes, are associated with abnormal systemic inflammation indices. However, there is a lack of research on the impact of systemic inflammation indices on fetal growth in physiological pregnancies. The objective of this study was to explore the potential associations between birth weight, length, and head circumference with a group of systemic inflammatory indices, namely, platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR), the mean platelet volume-to-lymphocyte ratio (MPVLR), monocyte-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI). Design: Full-term, physiological pregnancies admitted to a tertiary center from November 2019 until February 2021 were included in a prospective observational study. We excluded pregnancies affected by gestational or pregestational diabetes, chronic hypertension, gestational hypertension, pre-eclampsia/ eclampsia, fetal growth restriction, preterm delivery or premature rupture of membranes, multiple pregnancies, and malformed fetuses. Sociodemographic characteristics, clinical data, and complete blood count were recorded. Materials and Methods: Continuous variables were reported as either the means and standard deviation or median and interquartile ranges according to their distribution, as assessed by the Shapiro-Wilk normality test. Categorical variables were reported as percentages. To measure the linear association between continuous variables, the Pearson correlation test was used if variables had a normal distribution. Otherwise, Spearman's rank correlation test was calculated. To obtain an inflammatory latent score, a principal component analysis (PCA) was performed on NLR, PLR, MPVLR, MLR, SII, and SIRI. Results: Overall, 264 pregnant women came to our observation before the delivery. After the exclusion criteria, 199 pregnant were included. The Spearman's rank correlation test showed a high correlation among the indices. Then, a PCA was performed to a composite indicator of inflammatory score. The first principal component was selected, with a proportion of explained variance equal to 73.11%. The contributions of variables suggested excluding from the score the MLR index. From the linear regression models, results denoted that the inflammatory score negatively affects the birth weight (β = -42.60, 95%CI -76.91, -8.28) and the head circumference (β = -0.14, 95% CI -0.24, -0.04); however, the effect of the score on the birth length is not statistically significant at 5% (β = -0.12, 95% CI -0.27, 0.02). Limitations: This research's main limitation is the lack of data about the indirect inflammatory markers during the first and second trimesters of pregnancy. In addition, no neonatal outcomes were scheduled, such as NICU hospitalization for the different neonatal pathologies. Conclusion: The results of our study revealed a negative direct correlation between the composite indicator of inflammatory score and the birth weight and fetal head circumference. This novel finding prompts further evaluation of the role of indirect inflammatory markers on fetal growth and neonatal outcomes and highlights the need for additional research to clarify the complex relationship between inflammation and pregnancy
Un progetto per una nuova vita urbana. Un’architettura tra funzionalità e scenografia urbana.
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Artificial Intelligence and inclusive history teaching: a mixed-methods study in a middle school in Naples
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Advancing Survival Prediction with Functional Random Survival Forests for Time-to-Event Data
No full textThis paper proposes an improved way to handle survival learning for time-to-event
data by combining Functional Data Analysis (FDA) [1] with Random Survival Forests
(RSF) [2]. Traditional survival models often have trouble dealing with complex, irregular, and censored functional data. To fix this, we introduce Censored Functional Data
(CFD) [3], which captures each subject’s data only up to the earliest of the event or
censoring time, avoiding excessive interpolation and better representing the real data.
Using Functional Principal Component Analysis (FPCA) [4] and optimizing how time
is discretized, our Functional Random Survival Forest (FRSF) framework efficiently
models survival data that’s irregularly observed. We tested it through simulations
with different baseline hazard functions and found that the CFD-based FRSF outperforms traditional survival models, delivering better prediction accuracy measured
by Continuous Ranked Probability Score (CRPS) and Requested Performance Error
(RPE). Also, variable importance analysis shows that the CFD model uses a wider
range of principal components, which boosts interpretability and robustness. Overall,
our method offers a flexible, nonparametric approach for survival analysis with complex functional predictors, improving both predictive performance and understanding
of time-to-event data
The eco-sustainable renovation of knowledge buildings through a cross-border living lab
No full textSustainable building management requires creative interpretation of direct user needs, a skilful balance between technological innovation and applied research into the concept of “Possible Quality”. Med-EcoSuRe research project proposes a pragmatic approach to innovation, whereby experimentation involving the active engagement of end users is conducted with particular focus on human-environment centred design. The objective of this approach is to disseminate effective energy efficiency strategies in university buildings through a cross-border Living Lab. Physical and virtual tools were implemented to foster dialogue and collaboration between academics, decision-makers and stakeholders, and to support university energy managers in planning and implementing innovative energy measures. This paper, starting from a rapid illustration of the results of the research project, illustrates the value enhancing actions post-closure of the project, in progress and/or planned
Deliciae Fictiles VI. Architectural Terracottas in Ancient Italy. New discoveries, critical readings, review of findings, Proceedings of the Sixth International Conference on Architectural Terracottas and Decorative Roof Systems in Italy held at the National Archaeological Museum of Tarquinia
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