American journal of perinatology最新文献

Objective:  To characterize the relationship between gut microbiota and neonatal acute kidney injury biomarkers based on the gut-kidney axis.

Study design:  The Pubmed database was primarily searched to include relevant literature on gut microbiota and neonatal acute kidney injury biomarkers, which was subsequently organized and analyzed and a manuscript was written.

Results:  Gut microbiota was associated with neonatal acute kidney injury biomarkers. These biomarkers included TIMP-2, IGFBP-7, VEGF, calbindin, GST, B2MG, ghrelin, and clusterin.

Conclusion:  The gut microbiota is strongly associated with neonatal acute kidney injury biomarkers, and controlling the gut microbiota may be a potential target for ameliorating neonatal acute kidney injury.

Key points: · There is a bidirectional association between gut microbiota and AKI.. · Gut microbiota is closely associated with biomarkers of nAKI.. · Manipulation of gut microbiota may improve nAKI..

Gestational metabolic diseases adversely impact the health of pregnant persons and their offspring. Pregnant persons of color are impacted disproportionately by gestational metabolic disease, highlighting the need to identify additional risk factors contributing to racial-ethnic pregnancy-related health disparities. Trauma exposure and posttraumatic stress disorder (PTSD) are associated with increased risk for cardiometabolic disorders in nonpregnant persons, making them important factors to consider when identifying contributors to gestational metabolic morbidity and mortality health disparities. Here, we review current literature investigating trauma exposure and posttraumatic stress disorder as psychosocial risk factors for gestational metabolic disorders, inclusive of gestational diabetes, low birth weight and fetal growth restriction, gestational hypertension, and preeclampsia. We also discuss the physiological mechanisms by which trauma and PTSD may contribute to gestational metabolic disorders. Ultimately, understanding the biological underpinnings of how trauma and PTSD, which disproportionately impact people of color, influence risk for gestational metabolic dysfunction is critical to developing therapeutic interventions that reduce complications arising from gestational metabolic disease. KEY POINTS: · Gestational metabolic diseases disproportionately impact the health of pregnant persons of color.. · Trauma and PTSD are associated with increased risk for cardiometabolic disorders in nonpregnant per.. · Trauma and PTSD impact physiological cardiometabolic mechanisms implicated in gestational metabolic..

Objective:  Resilience is associated with mental and somatic health benefits. Given the social, physical, and mental health toll of the coronavirus disease 2019 (COVID-19) pandemic, we examined whether the COVID-19 pandemic was associated with population-level changes in resilience among pregnant people.

Study design:  Secondary analysis of a prospective cohort of nulliparous pregnant people <20 weeks' gestation from a single hospital. Participants completed baseline assessments of resilience characteristics, including dispositional optimism (DO), mindfulness, and proactive coping. For this analysis, participants recruited before the COVID-19 pandemic were compared with those recruited during the pandemic. The primary outcome was DO, assessed as a continuous score on the validated Revised Life Orientation Test. Secondary outcomes included continuous scores on mindfulness and proactive coping assessments. Bivariable analyses were completed using chi-squared and Mann-Whitney U tests. Multivariable linear regression compared resilience scores by recruitment time frame, controlling for confounders selected a priori: maternal age, education, and marital status.

Results:  Of the 300 participants, 152 (50.7%) were recruited prior to the pandemic. Demographic and pregnancy characteristics differed between groups: the during-pandemic group was older, had higher levels of education, and were more likely to be married/partnered. There were no significant differences in any of the resilience characteristics before versus during the pandemic in bivariable or multivariable analyses.

Conclusion:  In this cohort, there were no differences in early pregnancy resilience characteristics before versus during the COVID-19 pandemic. This affirms that on a population level, resilience is a stable metric, even in the setting of a global pandemic.

Key points: · Resilience is associated with mental and somatic health benefits.. · No difference in early-pregnancy resilience in those recruited before versus during the pandemic.. · Consistent with conceptualization of resilience as an innate characteristic..

Objective:  Our objective was to describe infant mortality within 1 year of life according to gestational age and birth weight percentile in infants delivered between 22 and 28 weeks of gestation.

Study design:  This study was a retrospective cohort study based on publicly available U.S. birth certificate data linked to infant death data between 2014 and 2020. Maternal-neonate pairs of singleton live births between 22^0/7 and 28^6/7 weeks' gestation (vaginal or cesarean) were evaluated. We excluded infants with major fetal anomalies, chromosomal disorders, and birth weight outliers. Our primary outcome was infant mortality within 1 year of life. Individuals were categorized into eight sex-specific birth weight percentiles categories: less than the 3rd, 3rd-less than the 10th, 10th-less than the 25th, 25th-to less than the 50th, 50th-less than the 75th, 75th-to less than the 90th, 90th-less than the 97th, and 97th or higher.

Results:  Of 27,014,444 individuals with live births from January 2014 to December 2020, 151,677 individuals who gave birth at 22 to 28 weeks of gestation were included in the study population. The mortality rate ranged from 4.2% for the 50th-less than the 75th percentiles at 28 weeks to 80.3% for the 3rd-less than the 10th percentile at 22 weeks. Using the 50th-less than the 75th birth weight percentile at each gestational age as a reference group, birth weight less than the 50th percentile was associated with increased mortality at all gestational ages in a dose-dependent manner. From 22 to 25 weeks of gestation, higher birth weight percentiles were associated with lower mortality, while the 97th or higher birth weight percentile was associated with increased mortality compared with the 50th-less than the 75th birth weight percentile at 26 to 28 weeks of gestation.

Conclusion:  The lower birth weight percentiles were associated with higher mortality across all gestational ages, but the association between higher birth weight percentiles and infant mortality exhibited an opposite pattern at 22 to 25 weeks as compared to later gestational age.

Key points: · Birth weight ≥97th percentile was associated with increased infant mortality at 26 to 28 weeks.. · Higher birth weight percentiles were associated with a lower risk of mortality at 22 to 25 weeks.. · Lower birth weight percentiles were associated with a higher risk of mortality at 22 to 28 weeks..

Objective:  This study aimed to evaluate trends, risk factors, and outcomes associated with infections and sepsis during delivery hospitalizations in the United States.

Study design:  The 2000-2020 National Inpatient Sample was used for this repeated cross-sectional analysis. Delivery hospitalizations of patients aged 15 to 54 with and without infection and sepsis were identified. Common infection diagnoses during delivery hospitalizations analyzed included (i) pyelonephritis, (ii) pneumonia/influenza, (iii) endometritis, (iv) cholecystitis, (v) chorioamnionitis, and (vi) wound infection. Temporal trends in sepsis and infection during delivery hospitalizations were analyzed. The associations between sepsis and infection and common chronic health conditions including asthma, chronic hypertension, pregestational diabetes, and obesity were analyzed. The associations between clinical, demographic, and hospital characteristics, and infection and sepsis were determined with unadjusted and adjusted logistic regression models with unadjusted odds ratio (OR) and adjusted odds ratios with 95% confidence intervals as measures of association.

Results:  An estimated 80,158,622 delivery hospitalizations were identified and included in the analysis, of which 2,766,947 (3.5%) had an infection diagnosis and 32,614 had a sepsis diagnosis (4.1 per 10,000). The most common infection diagnosis was chorioamnionitis (2.7% of deliveries) followed by endometritis (0.4%), and wound infections (0.3%). Infection and sepsis were more common in the setting of chronic health conditions. Evaluating trends in individual infection diagnoses, endometritis and wound infection decreased over the study period both for patients with and without chronic conditions, while risk for pyelonephritis and pneumonia/influenza increased. Sepsis increased over the study period for deliveries with and without chronic condition diagnoses. Risks for adverse outcomes including mortality, severe maternal morbidity, the critical care composite, and acute renal failure were all significantly increased in the presence of sepsis and infection.

Conclusion:  Endometritis and wound infections decreased over the study period while risk for sepsis increased. Infection and sepsis were associated with chronic health conditions and accounted for a significant proportion of adverse obstetric outcomes including severe maternal morbidity.

Key points: · Sepsis increased over the study period for deliveries with and without chronic condition diagnoses.. · Endometritis and wound infection decreased over the study period.. · Infection and sepsis accounted for a significant proportion of adverse obstetric outcomes..

Objective:  This study aimed to determine the prevalence of partner violence and depression in neonatal intensive care unit (NICU) mothers.

Study design:  This was a descriptive study. Mothers were screened in a safe room away from their partner with the Edinburgh Postnatal Depression Scale (EPDS) and the Abuse Assessment Screen Tool (AAS) within 2 days of the newborn's admission. The EPDS was administered again 2 weeks later and then at discharge.

Results:  Nearly 20% of mothers reported on the AAS that they had experienced physical abuse since pregnancy. Abuse significantly predicted baseline depression 48 hours after delivery. A significant relationship emerged between depression and past year partner violence, with 100% experiencing abuse in the past year after pregnancy. Regular hospital intake questions underreported NICU mothers' partner violence experience and feelings of depression.

Conclusion:  There was a marked difference between what mothers reported in their health history at admission versus evidence-based surveys in a private setting. These results challenge assumptions that accurate screening happens at hospital admission. It is imperative to use evidence-based scales after delivery to improve outcomes.

Key points: · Intake questions undermeasure partner violence and depression.. · Clinical depression emerges by 2 weeks postdelivery.. · Screening is optimal postdelivery, rather than at admission..

Objective:  Studies have suggested an association between prenatal care (PNC) and preterm birth (PTB). We evaluated trends in PTB and association of PNC and PTB.

Study design:  This was a retrospective cohort study of singleton, viable nonanomalous deliveries from 1991 to 2018. PNC utilization was defined by World Health Organization using number of visits: adequate (≥8), suboptimal (5-7), and inadequate (<5). Primary outcome was PTB. Tests of trend were used to assess changes in PTB over time. Baseline characteristics and outcomes were compared. Logistic regression estimated the association of PNC and PTB. We evaluated for effect modification by year of birth.

Results:  Of 92,294 patients, 14,057 (15%) had PTB. Inadequate and suboptimal PNC were associated with higher odds of PTB compared to adequate PNC (adjusted odds ratios = [aOR 6.21], 95% confidence interval [CI]: 5.84-6.60; aOR = 3.57, 95% CI: 3.36-3.79). Inadequate PNC was associated with higher odds of PTB over time (effect modification p < 0.0001). Inadequate PNC was associated with 5.4 times higher odds of PTB in 1998, 7.0 times in 2008, and 9.1 times in 2018.

Conclusion:  Despite an increase in adequate PNC, there was a rise in PTB associated with inadequate and suboptimal PNC. PNC utilization was a stronger risk factor in recent years with higher PTB in patients who attended more than five PNC visits.

Key points: · PNC utilization is associated with the risk of PTB.. · Despite an increase in PNC utilization, PTB rates have increased.. · There is an even stronger association between PNC utilization and PTB over time..

Objective:  The Italian Association of Preeclampsia (AIPE) and the Italian Society of Perinatal Medicine (SIMP) developed clinical questions on maternal hemodynamics state of the art.

Study design:  AIPE and SIMP experts were divided in small groups and were invited to propose an overview of the existing literature on specific topics related to the clinical questions proposed, developing, wherever possible, clinical and/or research recommendations based on available evidence, expert opinion, and clinical importance. Draft recommendations with a clinical rationale were submitted to 8th AIPE and SIMP Consensus Expert Panel for consideration and approval, with at least 75% agreement required for individual recommendations to be included in the final version.

Results:  More and more evidence in literature underlines the relationship between maternal and fetal hemodynamics, as well as the relationship between maternal cardiovascular profile and fetal-maternal adverse outcomes such as fetal growth restriction and hypertensive disorders of pregnancy. Experts agreed on proposing a classification of pregnancy hypertension, complications, and cardiovascular states based on three different hemodynamic profiles depending on total peripheral vascular resistance values: hypodynamic (>1,300 dynes·s·cm^-5), normo-dynamic, and hyperdynamic (<800 dynes·s·cm^-5) circulation. This differentiation implies different therapeutical strategies, based drugs' characteristics, and maternal cardiovascular profile. Finally, the cardiovascular characteristics of the women may be useful for a rational approach to an appropriate follow-up, due to the increased cardiovascular risk later in life.

Conclusion:  Although the evidence might not be conclusive, given the lack of large randomized trials, maternal hemodynamics might have great importance in helping clinicians in understanding the pathophysiology and chose a rational treatment of patients with or at risk for pregnancy complications.

Key points: · Altered maternal hemodynamics is associated to fetal growth restriction.. · Altered maternal hemodynamics is associated to complicated hypertensive disorders of pregnancy.. · Maternal hemodynamics might help choosing a rational treatment during hypertensive disorders..

Objective:  This study aimed to examine the temporal trends of severe maternal morbidity (SMM) in the U.S. population in relation to trends in maternal comorbidity.

Study design:  We performed a repeated cross-sectional analysis of data from individuals at 20 weeks' gestation or greater using U.S. birth certificate data from 2011 to 2021. Our primary outcome was SMM defined as the occurrence of intensive care unit admission, eclampsia, hysterectomy, uterine rupture, and blood product transfusion. We also examined the proportions of maternal comorbidity. Outcomes of the adjusted incidence rate ratio (IRR) with 99% confidence intervals (99% CIs) for 2021 m12 compared with 2011 m1 were calculated using negative binomial regression, controlling for predefined confounders.

Results:  There were 42,504,125 births included in the analysis. From 2011 m1 to 2021 m12, there was a significant increase in the prevalence of advanced maternal age (35-39 [45%], 40-44 [29%], and ≥45 [43%] years), morbid obesity (body mass index 40-49.9 [66%], 50-59.9 [91%], and 60-69.9 [98%]), previous cesarean delivery (14%), chronic hypertension (104%), pregestational diabetes (64%), pregnancy-associated hypertension (240%), gestational diabetes (74%), and preterm delivery at 34 to 36 weeks (12%). There was a significant decrease in the incidence of multiple gestation (9%), preterm delivery at 22 to 27 weeks (9%), and preterm delivery at 20 to 21 weeks (22%). From 2011 m1 to 2021 m12, the incidence of SMM increased from 0.7 to 1.0% (crude IRR 1.60 [99% CI 1.54-1.66]). However, the trend was no longer statistically significant after controlling for confounders (adjusted IRR 1.01 [95% CI 0.81-1.27]). The main comorbidity that was associated with the increase in SMM was pregnancy-associated hypertension.

Conclusion:  The rise in the prevalence of comorbidity in pregnancy seems to fuel the rise in SMM. Interventions to prevent SMM should include the management and prevention of pregnancy-associated hypertension.

Key points: · The rise in maternal mortality is related to morbidity.. · Pregnancy-associated hypertension increases morbidity.. · There were increasing trends in age, body mass index, and medical conditions..

Objective:  This proof-of-concept study assessed how confidently an artificial intelligence (AI) model can determine the sex of a fetus from an ultrasound image.

Study design:  Analysis was performed using 19,212 ultrasound image slices from a high-volume fetal sex determination practice. This dataset was split into a training set (11,769) and test set (7,443). A computer vision model was trained using a transfer learning approach with EfficientNetB4 architecture as base. The performance of the computer vision model was evaluated on the hold out test set. Accuracy, Cohen's Kappa and Multiclass Receiver Operating Characteristic area under the curve (AUC) were used to evaluate the performance of the model.

Results:  The AI model achieved an Accuracy of 88.27% on the holdout test set and a Cohen's Kappa score 0.843. The ROC AUC score for Male was calculated to be 0.896, for Female a score of 0.897, for Unable to Assess a score of 0.916, and for Text Added a score of 0.981 was achieved.

Conclusion:  This novel AI model proved to have a high rate of fetal sex capture that could be of significant use in areas where ultrasound expertise is not readily available.

Key points: · This is the first proof-of-concept AI model to determine fetal sex.. · This study adds to the growing research in ultrasound AI.. · Our findings demonstrate AI integration into obstetric care..