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Objectives: Sickle cell disease (SCD), which disproportionately affects minorities, increases complications during pregnancy. Severe maternal mortality is increased in women with SCD, including morbidity related to the disease and other nondisease-related complications. It also can have devastating complications for fetuses, with increases in premature birth and low birth weight.

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Background: Ovarian cancer (OC) represents a common neoplasm within the female reproductive tract. The prognosis for patients diagnosed at advanced stages is unfavorable, primarily attributable to the absence of reliable screening markers for early detection. An elevated neutrophil-to-lymphocyte ratio (NLR) serves as an indicator of host inflammatory response and has been linked to poorer overall survival (OS) across various cancer types; however, its examination in OC remains limited.

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Technical aspects of neuraxial analgesia during labor and maternity care: an updated overview.

J Anesth Analg Crit Care

January 2025

Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", via Sergio Pansini 5, Naples, 80100, Italy.

Labor analgesia is increasingly widespread throughout the world with a rate ranging from 10 to 60%. The benefits regarding clinical and non-clinical maternal-fetal outcomes are currently discussed in international scientific literature. Even stage of labor needs a different and appropriate approach to control the pain; however, different techniques are reported in literature.

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Background: No study has assessed the impact of flavor capsule cigarettes (FCCs) on smoking cessation. Thus, the purpose of this exploratory study was to assess (1) the sociodemographic and smoking-related characteristics associated with using FCCs, and (2) the preliminary impact of FCCs on smoking cessation.

Methods: This study is a secondary data analysis of a single-arm study with 100 individuals living in Mexico who smoked and received a smoking cessation mHealth intervention and pharmacotherapy support.

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Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.

Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.

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