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The ubiquitous presence of phthalate compounds in cosmetics, personal care products and plastics commonly used in toys, food packaging or household products, results in human exposure with adverse effects on reproductive health and fetal development. Following the PRISMA methodology, this systematic review analyzes the effect of prenatal phthalate exposure on major pregnancy complications, such as gestational diabetes, pregnancy-induced hypertension, fetal growth restriction and preterm birth, and its role in fetal neurodevelopment. This review includes >100 articles published in the last 10 years, showing an association between maternal exposure to phthalates and the risk of developing pregnancy complications. Phthalates are negatively associated with motor skills and memory, and also increase the risk of delayed language acquisition, autism spectrum disorder traits, and behavioral deficits, such as attention deficit hyperactivity disorder in children prenatally exposed to phthalates. Di (2-ethylhexyl) phthalate and its metabolites (mono(2-ethylhexyl) phthalate, mono(3-carboxypropyl) phthalate, mono(2-ethyl-5-hydroxyhexyl) phthalate, mono(2-ethyl-5-oxohexyl) phthalate) are the main compounds associated with the above-mentioned pregnancy complications and fetal neurodevelopmental disorders. In addition, this review discusses the molecular mechanisms responsible for various pregnancy complications and neurodevelopmental disorders, and the critical window of exposure, in order to clarify these aspects. Globally, the most common molecular mechanisms involved in the effects of phthalates are endocrine disruption, oxidative stress induction, intrauterine inflammation, and DNA methylation disorders. In general, the critical window of exposure varies depending on the pathophysiology of the complication being studied, although the first trimester is considered an important period because some of the most vulnerable processes (embryogenesis and placentation) begin early in pregnancy. Future research should aim to understand the specific mechanism of the disruptive effect of each component and to establish the toxic dose of phthalates, as well as to elucidate the most critical period of pregnancy for exposure and the long-term consequences for human health.
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Understanding the mechanisms underlying alcohol metabolism and its regulation, including the effect of polymorphisms in alcohol-metabolizing enzymes, is crucial for research on Fetal Alcohol Spectrum Disorders. The aim of this study was to identify specific single nucleotide polymorphisms in key alcohol-metabolizing enzymes in a cohort of 71 children, including children with fetal alcohol syndrome, children prenatally exposed to ethanol but without fetal alcohol spectrum disorder, and controls. We hypothesized that certain genetic variants related to alcohol metabolism may be fixed in these populations, giving them a particular alcohol metabolism profile. In addition, the difference in certain isoforms of these enzymes determines their affinity for alcohol, which also affects the metabolism of retinoic acid, which is key to the proper development of the central nervous system. Our results showed that children prenatally exposed to ethanol without fetal alcohol spectrum disorder traits had a higher frequency of the ADH1B*3 and ADH1C*1 alleles, which are associated with increased alcohol metabolism and therefore a protective factor against circulating alcohol in the fetus after maternal drinking, compared to FAS children who had an allele with a lower affinity for alcohol. This study also revealed the presence of an ADH4 variant in the FAS population that binds weakly to the teratogen, allowing increased circulation of the toxic agent and direct induction of developmental abnormalities in the fetus. However, both groups showed dysregulation in the expression of genes related to the retinoic acid pathway, such as retinoic acid receptor and retinoid X receptor, which are involved in the development, regeneration, and maintenance of the nervous system. These findings highlight the importance of understanding the interplay between alcohol metabolism, the retinoic acid pathway and genetic factors in the development of fetal alcohol syndrome.
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Álcool Desidrogenase , Transtornos do Espectro Alcoólico Fetal , Polimorfismo de Nucleotídeo Único , Receptores do Ácido Retinoico , Humanos , Transtornos do Espectro Alcoólico Fetal/genética , Transtornos do Espectro Alcoólico Fetal/metabolismo , Estudos de Casos e Controles , Feminino , Álcool Desidrogenase/genética , Álcool Desidrogenase/metabolismo , Masculino , Receptores do Ácido Retinoico/genética , Receptores do Ácido Retinoico/metabolismo , Criança , Etanol/metabolismo , Gravidez , Pré-Escolar , AlelosRESUMO
BACKGROUND: The use of psychoactive substances (PSs) during pregnancy is a major public health concern because of their increasing prevalence worldwide. This study examined the understudied issue of gestational PS consumption in a cohort of Argentine delivering mothers. METHODS: A cross-sectional pilot study involving 51 women receiving delivery care was conducted at the Santa Rosa Hospital in La Pampa, Argentina. Information on maternal sociodemographic characteristics, pregnancy history, and drug use was obtained through standardized interviews. Maternal hair samples were analyzed for alcohol, tobacco, licit, illicit, and prescription substance biomarkers using ultra-high-performance liquid chromatography high-resolution mass spectrometry and gas chromatography mass spectrometry. RESULTS: During pregnancy, 49.0% of participants reported alcohol consumption, 25.5% reported tobacco use, and 23.5% reported cannabis use. Hair samples from 56.9% of the women were positive for illicit PSs, with the most frequent being cocaine (41.2%) and cannabis (15.7%). Among the women, 47.1% consumed alcohol during pregnancy. Of the 24 women with hair ethyl glucuronide ≥5 pg/mg, 33.3% drank until the end of gestation and 58.3% started a social drinking habit in the second half. The analysis also detected prescription substances (anticonvulsants, antidepressants, methadone, opioids, antihistamines, antiemetics, and analgesics), caffeine (70.6%), lidocaine, and levamisole, some of which were cocaine or opioid adulterants. CONCLUSIONS: This is the first study to objectively assess the consumption of licit and illicit PSs during pregnancy in Argentina. In contrast to most nearby countries, cocaine was the most detected illicit PS in this cohort of Argentine delivering women. This finding highlights the importance of regular monitoring of local trends in PS use during pregnancy.
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Cabelo , Psicotrópicos , Detecção do Abuso de Substâncias , Humanos , Feminino , Gravidez , Argentina/epidemiologia , Projetos Piloto , Adulto , Cabelo/química , Psicotrópicos/análise , Estudos Transversais , Prevalência , Detecção do Abuso de Substâncias/métodos , Adulto Jovem , Consumo de Bebidas Alcoólicas/epidemiologia , Complicações na Gravidez/epidemiologia , Transtornos Relacionados ao Uso de Substâncias/epidemiologiaRESUMO
Introduction: Fetal alcohol spectrum disorders include a variety of physical and neurocognitive disorders caused by prenatal alcohol exposure. Although their overall prevalence is around 0.77%, FASD remains underdiagnosed and little known, partly due to the complexity of their diagnosis, which shares some symptoms with other pathologies such as autism spectrum, depression or hyperactivity disorders. Methods: This study included 73 control and 158 patients diagnosed with FASD. Variables selected were based on IOM classification from 2016, including sociodemographic, clinical, and psychological characteristics. Statistical analysis included Kruskal-Wallis test for quantitative factors, Chi-square test for qualitative variables, and Machine Learning (ML) algorithms for predictions. Results: This study explores the application ML in diagnosing FASD and its subtypes: Fetal Alcohol Syndrome (FAS), partial FAS (pFAS), and Alcohol-Related Neurodevelopmental Disorder (ARND). ML constructed a profile for FASD based on socio-demographic, clinical, and psychological data from children with FASD compared to a control group. Random Forest (RF) model was the most efficient for predicting FASD, achieving the highest metrics in accuracy (0.92), precision (0.96), sensitivity (0.92), F1 Score (0.94), specificity (0.92), and AUC (0.92). For FAS, XGBoost model obtained the highest accuracy (0.94), precision (0.91), sensitivity (0.91), F1 Score (0.91), specificity (0.96), and AUC (0.93). In the case of pFAS, RF model showed its effectiveness, with high levels of accuracy (0.90), precision (0.86), sensitivity (0.96), F1 Score (0.91), specificity (0.83), and AUC (0.90). For ARND, RF model obtained the best levels of accuracy (0.87), precision (0.76), sensitivity (0.93), F1 Score (0.84), specificity (0.83), and AUC (0.88). Our study identified key variables for efficient FASD screening, including traditional clinical characteristics like maternal alcohol consumption, lip-philtrum, microcephaly, height and weight impairment, as well as neuropsychological variables such as the Working Memory Index (WMI), aggressive behavior, IQ, somatic complaints, and depressive problems. Discussion: Our findings emphasize the importance of ML analyses for early diagnoses of FASD, allowing a better understanding of FASD subtypes to potentially improve clinical practice and avoid misdiagnosis.
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INTRODUCTION: Our aim was to determine which foetal or neonatal growth curves discriminate the probability of dying of newborns with low birth weight for their gestational age (small for gestational age, SGA) and sex (weight < 10th percentile) and to establish the curves that are presumably most useful for monitoring growth through age 10 years. MATERIAL AND METHODS: The analysis included every neonate (15 122) managed in our hospital (2013-2022) and all neonates born preterm before 32 weeks (6913) registered in the SEN1500 database (2019-2022). We considered most useful those curves with the highest likelihood ratio (LR) for dying with or without a history of SGA in each subgroup of gestational ages. Theoretically, the optimal curves for monitoring growth would be those with a higher R2 in the quantile regression formulas for the 50th percentile. RESULTS: The growth curves exhibiting the strongest association between SGA and hospital mortality are the Intergrowth fetal curves and the Fenton neonatal curves in infants born preterm before 32 weeks. However, the optimal curves for premature babies and neonates overall were those of Olsen and Intergrowth. The most useful curves to monitor anthropometric values alone until age 10 years of age are the longitudinal Intergrowth curves followed by the WHO standards, but if a single reference is desired from birth through age 10 years, the best option is the Fenton curves followed by the WHO standards. CONCLUSIONS: The Intergrowth reference provides the most discriminating foetal growth curves. In neonatal clinical practice, the optimal references are the Fenton followed by the WHO charts.
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Desenvolvimento Fetal , Gráficos de Crescimento , Recém-Nascido Pequeno para a Idade Gestacional , Humanos , Recém-Nascido , Feminino , Masculino , Desenvolvimento Fetal/fisiologia , Idade Gestacional , Recém-Nascido Prematuro/crescimento & desenvolvimento , Lactente , Criança , Mortalidade Hospitalar , Recém-Nascido de Baixo PesoRESUMO
Prenatal exposure to alcohol can cause Fetal Alcohol Spectrum Disorders (FASDs) after birth, encompassing a spectrum of physical, cognitive, and behavioral abnormalities. FASD represents a severe non-genetic disability avoidable through alcohol abstinence during pregnancy and when planning it. Clinical severity depends on alcohol impact, symptomatology, and resulting disabilities. FASD is a permanent disability with no recognized specific medical care. Conversely, secondary FASD-related disabilities can be symptomatically treated. This integrative review aims to provide information about the novel pharmacological treatments of FASD-associated comorbidities by selecting the last ten years of studies carried out on animals and humans. PRISMA guidelines were followed to search human/animal model studies of pharmacological interventions on FASD comorbidities, using different databases (PubMed, Cochrane, etc.). From 1348 articles, 44 met the criteria after full-text analysis. Firstly, all the reported studies point out that early diagnosis and tailored interventions are the principal tools to reduce FASD-related secondary disabilities, due to the fact that there is currently no approved pharmacological treatment for the tissue damage which produces FASD. Despite limitations in study designs and small sample sizes, these review results highlight how the treatment strategies of children with FASD have changed. In the past, studies focused on treating symptoms, but in the last years, researchers have turned their attention to the prevention targeting central nervous system embryogenesis. Novel treatments like choline and natural antioxidants and nutritional supplements are the most investigated treatments in humans with promising results. More follow-up studies need to be performed, to confirm and generalize reported efficacy to a wide sample size.
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Numerous factors concerning early breastfeeding abandonment have been described, including health literacy (HL). This study's objective was to analyze factors related to early breastfeeding abandonment (<6 months). This prospective multicentric study examined the duration of breastfeeding at 6 months postpartum and was conducted in four different regions of Spain from January 2021 to January 2023. A total of 275 women participated in this study, which focused on maternal HL and obstetric practices. A decrease in the breastfeeding rate was observed from hospital discharge (n = 224, 81.5%) to the sixth month postpartum (n = 117, 42.5%). A Cox regression analysis revealed that inadequate HL levels, lack of mobilization during labour, and induced labour were significantly associated with early breastfeeding cessation (p = 0.022, p = 0.019, and p = 0.010, respectively). The results highlight that women with adequate HL had a 32% lower risk of early breastfeeding abandonment. In comparison, mobilization during labour and induction of labour were linked to a 32.4% reduction and a 53.8% increase in this risk, respectively. These findings emphasize the importance of considering obstetric and HL factors when addressing the breastfeeding duration, indicating opportunities for educational and perinatal care interventions.
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Letramento em Saúde , Trabalho de Parto , Gravidez , Feminino , Humanos , Aleitamento Materno , Estudos Prospectivos , Período Pós-Parto , MãesRESUMO
BACKGROUND: Infant crying is the first attempt babies use to communicate during their initial months of life. A misunderstanding of the cry message can compromise infant care and future neurodevelopmental process. METHODS: An exploratory study collecting multimodal data (i.e., crying, electroencephalography (EEG), near-infrared spectroscopy (NIRS), facial expressions, and body movements) from 38 healthy full-term newborns was conducted. Cry types were defined based on different conditions (i.e., hunger, sleepiness, fussiness, need to burp, and distress). Statistical analysis, Machine Learning (ML), and Deep Learning (DL) techniques were used to identify relevant features for cry type classification and to evaluate a robust DL algorithm named Acoustic MultiStage Interpreter (AMSI). RESULTS: Significant differences were found across cry types based on acoustics, EEG, NIRS, facial expressions, and body movements. Acoustics and body language were identified as the most relevant ML features to support the cause of crying. The DL AMSI algorithm achieved an accuracy rate of 92%. CONCLUSIONS: This study set a precedent for cry analysis research by highlighting the complexity of newborn cry expression and strengthening the potential use of infant cry analysis as an objective, reliable, accessible, and non-invasive tool for cry interpretation, improving the infant-parent relationship and ensuring family well-being.
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Algoritmos , Choro , Humanos , Recém-Nascido , Lactente , Acústica , Encéfalo/diagnóstico por imagem , CinésicaRESUMO
(1) Background: Alcohol consumption during pregnancy is a major concern, particularly in Europe and North America. Its prevalence has so far been under-researched. In most studies, the determination of this consumption may be underestimated, as it is based on the information obtained from questionnaires rather than from biomarkers, which will provide a much more reliable approach. The main objective of this study was to compare the prevalence of consumption during pregnancy as assessed by a questionnaire and a hair biomarker. (2) Method: A cross-sectional study with a random sample of 425 pregnant women treated in public hospital consultations in Seville (Spain) and in the 20th week of their pregnancy, orally interviewed using an elaborated ad hoc questionnaire that evaluated variables of sociodemographic, obstetric, and alcohol consumption. Furthermore, the ethyl glucuronide metabolite (EtG) was tested on a hair sample in 252 pregnant women who agreed to facilitate it. Once the data obtained through the questionnaire and hair test were analyzed, the level of metabolites and self-reported alcohol consumption were compared. (3) Results: The prevalence of self-reported alcohol consumption (questionnaire) was 20.7%, and the real consumption (metabolite analysis) was 20.2%. In 16.8% of pregnant women who declared not consuming alcohol during their pregnancy, noticeable consumption was detected according to the metabolite test. No relevant level of variability in estimated alcohol consumption was detected in the biomarker with respect to the sociodemographic and obstetric variables studied. (4) Conclusions: The prevalence of alcohol consumption during pregnancy obtained through both questionnaires and metabolite analyses was similar and high. There is no association between consumption and sociodemographic factors in this sample. The determination of consumption through biomarkers allows for a more accurate approximation of the prevalence of consumption than estimated through questionnaires. Larger sample-sized studies are needed to determine consumption patterns and thus guide the adoption of more precise policies fostering abstinence from alcohol consumption since the preconception period.
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Introduction: Even though infant crying is a common phenomenon in humans' early life, it is still a challenge for researchers to properly understand it as a reflection of complex neurophysiological functions. Our study aims to determine the association between neonatal cry acoustics with neurophysiological signals and behavioral features according to different cry distress levels of newborns. Methods: Multimodal data from 25 healthy term newborns were collected simultaneously recording infant cry vocalizations, electroencephalography (EEG), near-infrared spectroscopy (NIRS) and videos of facial expressions and body movements. Statistical analysis was conducted on this dataset to identify correlations among variables during three different infant conditions (i.e., resting, cry, and distress). A Deep Learning (DL) algorithm was used to objectively and automatically evaluate the level of cry distress in infants. Results: We found correlations between most of the features extracted from the signals depending on the infant's arousal state, among them: fundamental frequency (F0), brain activity (delta, theta, and alpha frequency bands), cerebral and body oxygenation, heart rate, facial tension, and body rigidity. Additionally, these associations reinforce that what is occurring at an acoustic level can be characterized by behavioral and neurophysiological patterns. Finally, the DL audio model developed was able to classify the different levels of distress achieving 93% accuracy. Conclusion: Our findings strengthen the potential of crying as a biomarker evidencing the physical, emotional and health status of the infant becoming a crucial tool for caregivers and clinicians.
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Introducción. El consumo de sustancias psicoactivas ilegales en el embarazo constituye un problema creciente. En pocas maternidades latinoamericanas se aplica una estrategia de detección y los datos publicados son escasos. Objetivos. Comparar dos quinquenios de resultados de una estrategia de detección de sustancias psicoactivas ilegales implementada en el posparto. Población y métodos. Estudio de corte transversal. Detección por inmunoensayo en orinas de binomios madre-hijo/a, en un hospital público argentino entre 2009 y 2018. Resultados. En 76/191 binomios se detectaron sustancias en 10 años. El criterio de detección más frecuente fue la comunicación o antecedente de uso de drogas: 25/37 y 32/39 en cada quinquenio. Predominaron cannabis (21/37 y 26/39) y cocaína (19/37 y 16/39) en ambos períodos. No hubo diferencias en datos demográficos, ginecológicos, del embarazo ni neonatales en los quinquenios comparados. Conclusiones. No se encontraron diferencias en la frecuencia ni en el tipo de sustancias detectadas a lo largo de 10 años.
Introduction. The use of illicit psychoactive substances during pregnancy is a growing problem. Few Latin American maternity centers implement a screening strategy, and published data are scarce. Objectives. To compare the outcomes of 2 five-year periods of a postpartum strategy to screen for illicit psychoactive drugs. Population and methods. This was a cross-sectional study. Immunoassay detection in urine of mothernewborn infant dyads in an Argentine public hospital between 2009 and 2018. Results. Substances were detected in 76/191 dyads over 10 years. The most frequent detection criterion was reporting or history of drug use: 25/37 and 32/39 in each five-year period. Cannabis (21/37 and 26/39) and cocaine (19/37 and 16/39) predominated in both periods. No differences were observed in demographic, gynecological, pregnancy, or neonatal data between both five-year periods. Conclusions. No differences were found in the frequency or type of substances detected over 10 years
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Humanos , Feminino , Gravidez , Recém-Nascido , Drogas Ilícitas , Transtornos Relacionados ao Uso de Substâncias/diagnóstico , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Fármacos do Sistema Nervoso Central , Estudos Transversais , MãesRESUMO
There are no studies that have utilized both biomarkers and self-reported data to evaluate maternal alcohol use during pregnancy in Mexico. Therefore, we aimed to describe the prevalence of alcohol consumption in a cohort of 300 Mexican pregnant women. We used a validated ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method to measure hair ethyl glucuronide (EtG) in hair segments that corresponded to the first and second half of pregnancy. We compared the hair EtG values to a self-reported questionnaire on maternal drinking habits and evaluated whether the gestational alcohol use was associated with psychotropic drug use. Based on the EtG measurements, 263 women (87.7%) were alcohol-abstinent during the entire pregnancy, while 37 (12.3%) had used alcohol at least once during the pregnancy. Of these, only two women were found to have problematic alcoholic behavior during the entire pregnancy. No significant differences in sociodemographic characteristics were observed between alcohol-abstinent women and women with drinking habits. The self-reporting data and hair EtG gave heterogeneous results: although 37 women had self-reported alcohol use during pregnancy, only 54.1% of these women tested positive for hair EtG. Of the women who tested positive for hair EtG, 54.1% tested positive for psychoactive substances. In our cohort, the use of drugs of abuse was independent of gestational drinking. This study provided the first objective evidence of prenatal ethanol consumption in a cohort of Mexican pregnant women.
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Gestantes , Espectrometria de Massas em Tandem , Humanos , Feminino , Gravidez , Espectrometria de Massas em Tandem/métodos , México/epidemiologia , Consumo de Bebidas Alcoólicas/epidemiologia , Glucuronatos/análise , Etanol/análise , Cabelo/química , Biomarcadores/análiseRESUMO
Probiotics have shown a benefit in reducing necrotising enterocolitis in the premature infant, however the study of their effect on premature neonates' neurodevelopment is limited. The aim of our study was to elucidate whether the effect of Bifidobacterium bifidum NCDO 2203 combined with Lactobacillus acidophilus NCDO 1748 could positively impact the neurodevelopment of the preterm neonates. Quasi-experimental comparative study with a combined treatment of probiotics in premature infants < 32 weeks and < 1500 g birth weight, cared for at a level III neonatal unit. The probiotic combination was administered orally to neonates surviving beyond 7 days of life, until 34 weeks postmenstrual age or discharge. Globally, neurodevelopment was evaluated at 24 months corrected age. A total of 233 neonates were recruited, 109 in the probiotic group and 124 in the non-probiotic group. In those neonates receiving probiotics, there was a significant reduction in neurodevelopment impairment at 2 years of age RR 0.30 [0.16-0.58], and a reduction in the degree of impairment (normal-mild vs moderate-severe, RR 0.22 [0.07-0.73]). Additionally, there was a significant reduction in late-onset sepsis (RR 0.45 [0.21-0.99]). The prophylactic use of this probiotic combination contributed to improving neurodevelopmental outcome and reduced sepsis in neonates born at < 32 weeks and < 1500 g.Per style, a structured abstract is not allowed so we have changed the structured abstract to an unstructured abstract. Please check and confirm.Accepted.
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Bifidobacterium bifidum , Enterocolite Necrosante , Doenças do Prematuro , Probióticos , Sepse , Lactente , Recém-Nascido , Humanos , Recém-Nascido Prematuro , Recém-Nascido de muito Baixo Peso , Peso ao Nascer , Doenças do Prematuro/prevenção & controle , Probióticos/uso terapêutico , Enterocolite Necrosante/prevenção & controle , Sepse/prevenção & controleRESUMO
Prenatal alcohol exposure affects the cardiovascular health of the offspring. Epigallocatechin-3-gallate (EGCG) may be a protective agent against it, but no data are available regarding its impact on cardiac dysfunction. We investigated the presence of cardiac alterations in mice prenatally exposed to alcohol and the effect of postnatal EGCG treatment on cardiac function and related biochemical pathways. C57BL/6J pregnant mice received 1.5 g/kg/day (Mediterranean pattern), 4.5 g/kg/day (binge pattern) of ethanol, or maltodextrin until Day 19 of pregnancy. Post-delivery, treatment groups received EGCG-supplemented water. At post-natal Day 60, functional echocardiographies were performed. Heart biomarkers of apoptosis, oxidative stress, and cardiac damage were analyzed by Western blot. BNP and Hif1α increased and Nrf2 decreased in mice prenatally exposed to the Mediterranean alcohol pattern. Bcl-2 was downregulated in the binge PAE drinking pattern. Troponin I, glutathione peroxidase, and Bax increased in both ethanol exposure patterns. Prenatal alcohol exposure led to cardiac dysfunction in exposed mice, evidenced by a reduced ejection fraction, left ventricle posterior wall thickness at diastole, and Tei index. EGCG postnatal therapy restored the physiological levels of these biomarkers and improved cardiac dysfunction. These findings suggest that postnatal EGCG treatment attenuates the cardiac damage caused by prenatal alcohol exposure in the offspring.
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Introduction. The use of illicit psychoactive substances during pregnancy is a growing problem. Few Latin American maternity centers implement a screening strategy, and published data are scarce. Objectives. To compare the outcomes of 2 five-year periods of a postpartum strategy to screen for illicit psychoactive drugs. Population and methods. This was a cross-sectional study. Immunoassay detection in urine of mother-newborn infant dyads in an Argentine public hospital between 2009 and 2018. Results. Substances were detected in 76/191 dyads over 10 years. The most frequent detection criterion was reporting or history of drug use: 25/37 and 32/39 in each five-year period. Cannabis (21/37 and 26/39) and cocaine (19/37 and 16/39) predominated in both periods. No differences were observed in demographic, gynecological, pregnancy, or neonatal data between both five-year periods. Conclusions. No differences were found in the frequency or type of substances detected over 10 years.
Introducción. El consumo de sustancias psicoactivas ilegales en el embarazo constituye un problema creciente. En pocas maternidades latinoamericanas se aplica una estrategia de detección y los datos publicados son escasos. Objetivos. Comparar dos quinquenios de resultados de una estrategia de detección de sustancias psicoactivas ilegales implementada en el posparto. Población y métodos. Estudio de corte transversal. Detección por inmunoensayo en orinas de binomios madre-hijo/a, en un hospital público argentino entre 2009 y 2018. Resultados. En 76/191 binomios se detectaron sustancias en 10 años. El criterio de detección más frecuente fue la comunicación o antecedente de uso de drogas: 25/37 y 32/39 en cada quinquenio. Predominaron cannabis (21/37 y 26/39) y cocaína (19/37 y 16/39) en ambos períodos. No hubo diferencias en datos demográficos, ginecológicos, del embarazo ni neonatales en los quinquenios comparados. Conclusiones. No se encontraron diferencias en la frecuencia ni en el tipo de sustancias detectadas a lo largo de 10 años.
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Drogas Ilícitas , Transtornos Relacionados ao Uso de Substâncias , Recém-Nascido , Humanos , Lactente , Feminino , Gravidez , Mães , Estudos Transversais , Transtornos Relacionados ao Uso de Substâncias/diagnóstico , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Fármacos do Sistema Nervoso CentralRESUMO
The demand for long-term care is expected to increase due to the rising life expectancy and the increased prevalence of long-term illnesses. Nursing home residents are at an increased risk of suffering adverse drug events due to inadequate prescriptions. The main objective of this systematic review is to collect and analyze the prevalence of potentially inadequate prescriptions based on the new version of STOPP/START criteria in this specific population. Databases (PubMed, Web of Science and Cochrane) were searched for inappropriate prescription use in nursing homes according to the second version of STOPP/START criteria. The risk of bias was assessed with the STROBE checklist. A total of 35 articles were assessed for eligibility. One hundred and forty nursing homes and more than 6900 residents were evaluated through the analysis of 13 studies of the last eight years. The reviewed literature returned prevalence ranges between 67.8% and 87.7% according to the STOPP criteria, according to START criteria prevalence ranged from 39.5% to 99.7%. The main factors associated with the presence of inappropriate prescriptions were age, comorbidities, and polypharmacy. These data highlight that, although the STOPP/START criteria were initially developed for community-dwelling older adults, its use in nursing homes may be a starting point to help detect more efficiently inappropriate prescriptions in institutionalized patients. We hope that this review will help to draw attention to the need for medication monitoring systems in this vulnerable population.
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BACKGROUND: Passive exposure to the aerosols of electronic cigarettes (e-cigarettes) has been little studied. We assessed this exposure in late pregnancy in a woman and her 3-year-old child, exposed through e-cigarette use by another household member. METHODS: This prospective longitudinal case study involved a family unit consisting of an e-cigarette user, a pregnant woman who delivered an infant during the study, and the couple's older 3-year-old son. At 31, 36, and 40 weeks of the pregnancy, we measured biomarkers (nicotine metabolites, tobacco-specific nitrosamines, propanediols, glycerol, and metals) in the urine and hair of all three participants and in the saliva of the adults, in cord blood at delivery, and in the breast milk at the postpartum period. RESULTS: Samples from the e-cigarette user showed quantifiable concentrations of all analytes assessed (maximum urinary cotinine concentration, 4.9 ng/mL). Among samples taken from the mother, nicotine and its metabolites were found mainly in urine and also in saliva and hair, but not in cord blood. During the postpartum period, we found cotinine concentrations of 2.2 ng/mL in the mother's urine and 0.22 ng/mL in breast milk; 1,2-propanediol was generally detected in urine and saliva, but not in cord blood or breast milk. The maximum urinary cotinine concentration in the 3-year-old child was 2.6 ng/mL and propanediols also were detected in his urine. Nitrosamines were not detected in samples taken from the mother or the 3-year-old. Metals found in the refill liquid were detected at low levels in both the mother and the 3-year-old. CONCLUSIONS: We detected low but not negligible concentrations of e-cigarette-related analytes (including cord blood and breast milk) in an exposed pregnant non-user and in a 3-year-old child also living in the home. Passive exposure to e-cigarette aerosols cannot be disregarded and should be assessed in larger observational studies.