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A rapid spread of HIV type 1 was identified in a community in Indiana and was found to be related to injection use of oxymorphone. The epidemic of prescription opioid analgesic use and abuse in the United States over the past two decades 1 has led to a marked increase in the incidence of death from opioid analgesic poisoning, with a quadrupling of the incidence from 1999 through 2011. 2 In 2009, for the first time, deaths from drug overdose (37,004 deaths, of which 60% were related to the use of opioids) outnumbered deaths from motor vehicle accidents in the United States. 3 , 4 This epidemic of prescription opioid analgesic abuse has led to increases in the numbers of persons who inject drugs, as persons transition from oral . . .

In January 2015, an outbreak of undiagnosed human immunodeficiency virus (HIV) infections among persons who inject drugs (PWID) was recognized in rural Indiana. By September 2016, 205 persons in this community of approximately 4400 had received a diagnosis of HIV infection. We report results of new approaches to analyzing epidemiologic and laboratory data to understand transmission during this outbreak. HIV genetic distances were calculated using the polymerase region. Networks were generated using data about reported high-risk contacts, viral genetic similarity, and their most parsimonious combinations. Sample collection dates and recency assay results were used to infer dates of infection. Epidemiologic and laboratory data each generated large and dense networks. Integration of these data revealed subgroups with epidemiologic and genetic commonalities, one of which appeared to contain the earliest infections. Predicted infection dates suggest that transmission began in 2011, underwent explosive growth in mid-2014, and slowed after the declaration of a public health emergency. Results from this phylodynamic analysis suggest that the majority of infections had likely already occurred when the investigation began and that early transmission may have been associated with sexual activity and injection drug use. Early and sustained efforts are needed to detect infections and prevent or interrupt rapid transmission within networks of uninfected PWID.

Background Severe maternal morbidity (SMM) is broadly defined as an unexpected and potentially life-threatening event associated with labor and delivery. The Centers for Disease Control and Prevention (CDC) produced 21 different indicators based on International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) hospital diagnostic and procedure codes to identify cases of SMM. Objectives To examine existing SMM indicators and determine which indicators identified the most in-hospital mortality at delivery hospitalization. Methods Data from the 1993-2015 and 2017-2019 Healthcare Cost and Utilization Project's National Inpatient Sample were used to report SMM indicator-specific prevalences, in-hospital mortality rates, and population attributable fractions (PAF) of mortality. We hierarchically ranked indicators by their overall PAF of in-hospital mortality. Predictive modeling determined if SMM prevalence remained comparable after transition to ICD-10-CM coding. Results The study population consisted of 18,198,934 hospitalizations representing 87,864,173 US delivery hospitalizations. The 15 top ranked indicators identified 80% of in-hospital mortality; the proportion identified by the remaining indicators was negligible (2%). The top 15 indicators were: restoration of cardiac rhythm; cardiac arrest; mechanical ventilation; tracheostomy; amniotic fluid embolism; aneurysm; acute respiratory distress syndrome; acute myocardial infarction; shock; thromboembolism, pulmonary embolism; cerebrovascular disorders; sepsis; both DIC and blood transfusion; acute renal failure; and hysterectomy. The overall prevalence of the top 15 ranked SMM indicators (~22,000 SMM cases per year) was comparable after transition to ICD-10-CM coding. Conclusions We determined the 15 indicators that identified the most in-hospital mortality at delivery hospitalization in the US. Continued testing of SMM indicators can improve measurement and surveillance of the most severe maternal complications at the population level.

Severe coronavirus disease in neonates is rare. We analyzed clinical, laboratory, and autopsy findings from a neonate in the United States who was delivered at 25 weeks of gestation and died 4 days after birth; the mother had asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and preeclampsia. We observed severe diffuse alveolar damage and localized SARS-CoV-2 by immunohistochemistry, in situ hybridization, and electron microscopy of the lungs of the neonate. We localized SARS-CoV-2 RNA in neonatal heart and liver vascular endothelium by using in situ hybridization and detected SARS-CoV-2 RNA in neonatal and placental tissues by using reverse transcription PCR. Subgenomic reverse transcription PCR suggested viral replication in lung/airway, heart, and liver. These findings indicate that in utero SARS-CoV-2 transmission contributed to this neonatal death.

The objective of this analysis was to assess the associations between pandemic-related stressors and feeling more anxious/depressed, among women with a live birth. We analyzed data from the Pregnancy Risk Assessment Monitoring System (PRAMS) COVID-19 maternal experiences supplement, implemented in 29 U.S. jurisdictions from October 2020–June 2021, among women with a live birth during April–December 2020. We examined stressors by type (economic, housing, childcare, food insecurity, partner, COVID-19 illness) and score (number of stressor types experienced [none, 1–2, 3–4, or 5–6]). Outcomes were feeling 1) more anxious and 2) more depressed than usual due to the pandemic. We calculated adjusted prevalence ratios estimating associations between stressors and outcomes. Among 12,525 respondents, half reported feeling more anxious and 28% more depressed than usual. The prevalence of stressor types was 50% economic, 41% childcare, 18% partner, 17% food insecurity, 12% housing, and 10% COVID-19 illness. Respondents who experienced partner stressors (anxious aPR: 1.81, 95% CI: 1.73–1.90; depressed aPR: 3.01, 95% CI: 2.78–3.25) and food insecurity (anxious aPR: 1.79, 95% CI: 1.71–1.88; depressed aPR: 2.32, 95% CI: 2.13–2.53) had the largest associations with feeling more anxious and depressed than usual. As stressor scores increased, so did the aPRs for feeling more anxious and more depressed due to the pandemic. COVID-19 stressors, not COVID-19 illness, were found to be significantly associated with feeling more anxious and depressed. Pregnant and postpartum women might benefit from access to supports and services to address pandemic-related stressors/social-determinants and feelings of anxiety and depression.

Background The prevalence and severity of disasters triggered by natural hazards has increased over the last 20 years. Women of reproductive age may encounter unique reproductive health challenges following a disaster. In this scoping review we identify gaps in literature to inform future research and search for potential associations between disasters by natural hazards and post-disaster fertility and contraception among women of reproductive age. Methods Medline (OVID), Embase (OVID), PsycInfo (OVID), CINAHL (Ebsco), Scopus, Environmental Science Collection (ProQuest Central), and Sociological Abstracts (ProQuest Central) were searched for articles published from 1980 through March 3, 2022 in English or Spanish language. Search terms were related to fertility, contraception, and disasters. We included original research that described a discrete natural hazard exposure, a population of women of reproductive age (15–49 years), and outcomes of fertility or contraception use or access, with pre- and post-disaster measures. Results Among 9788 citations, after initial exclusion 5121 remained for title and abstract review. One hundred and eighteen citations underwent full-text review and 26 articles met the inclusion criteria. Following critical appraisal, 20 articles were included in this review. Eighteen articles described outcomes related to fertility, five articles described contraception access, and three articles described contraception use. Conclusions Clearly defined exposure measures, robust analyses, and methodical post-disaster assessment periods, may address the current gaps within disaster research on fertility and contraception among women of reproductive age. Consistent patterns in fertility following a disaster triggered by natural hazards were not identified between or within disaster types. Studies that assessed contraception found no change in use, while some studies found a decrease in contraceptive access overall. Plain English Summary Natural disasters are becoming more frequent and severe. In this scoping review, we explore published literature from 1980 to March 3, 2022 on the impacts of natural disasters for women of reproductive age, 15–49 years. We assess gaps in the literature and search for possible trends in fertility and contraception use and access after a disaster. A targeted literature search in multiple databases resulted in 9,788 citations. Systematic methods were used to identify relevant articles for this scoping review. Of the 20 articles included, we identify several gaps. Future research may benefit from improved disaster exposure measurements, comparing exposed samples to a similar unexposed sample, and measuring outcomes at purposeful post-disaster time points. No consistent patterns were identified among studies assessing post-disaster fertility. Contraception use did not appear to change following disasters, while contraception access generally decreased.

The Surveillance for Emerging Threats to Mothers and Babies Network conducts longitudinal surveillance of pregnant persons in the United States with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection during pregnancy. Of 6,551 infected pregnant persons in this analysis, 142 (2.2%) had positive RNA tests >90 days and up to 416 days after infection.

Background Cesarean delivery rates have increased globally resulting in a public health concern. We estimate rates of cesarean deliveries among Thai women using the World Health Organization (WHO) Robson Classification system and compare rates by Robson group to the Robson guideline for acceptable rates to identify groups that might benefit most from interventions for rate reduction. Methods In 2017 and 2018, we established cohorts of pregnant women aged ≥ 18 years seeking prenatal care at two tertiary Thai hospitals and followed them until 6–8 weeks postpartum. Three in-person interviews (enrollment, end of pregnancy, and postpartum) were conducted using structured questionnaires to obtain demographic characteristics, health history, and delivery information. Cesarean delivery indication was classified based on core obstetric variables (parity, previous cesarean delivery, number of fetuses, fetal presentation, gestational week, and onset of labor) assigned to 10 groups according to the Robson Classification. Logistic regression was used to identify factors associated with cesarean delivery among nulliparous women with singleton, cephalic, term pregnancies. Results Of 2,137 participants, 970 (45%) had cesarean deliveries. The median maternal age at delivery was 29 years (interquartile range, 25–35); 271 (13%) participants had existing medical conditions; and 446 (21%) had pregnancy complications. The cesarean delivery rate varied by Robson group. Multiparous women with > 1 previous uterine scar, with a single cephalic pregnancy, ≥ 37 weeks gestation (group 5) contributed the most (14%) to the overall cesarean rate, whereas those with a single pregnancy with a transverse or oblique lie, including women with previous uterine scars (group 9) contributed the least (< 1%). Factors independently associated with cesarean delivery included age ≥ 25 years, pre-pregnancy obesity, new/worsen medical condition during pregnancy, fetal distress, abnormal labor, infant size for gestational age ≥ 50 th percentiles, and self-pay for delivery fees. Women with existing blood conditions were less likely to have cesarean delivery. Conclusions Almost one in two pregnancies among women in our cohorts resulted in cesarean deliveries. Compared to WHO guidelines, cesarean delivery rates were elevated in selected Robson groups indicating that tailored interventions to minimize non-clinically indicated cesarean delivery for specific groups of pregnancies may be warranted.

As of June 16, 2020, the coronavirus disease 2019 (COVID-19) pandemic has resulted in 2,104,346 cases and 116,140 deaths in the United States.* During pregnancy, women experience immunologic and physiologic changes that could increase their risk for more severe illness from respiratory infections (1,2). To date, data to assess the prevalence and severity of COVID-19 among pregnant U.S. women and determine whether signs and symptoms differ among pregnant and nonpregnant women are limited. During January 22-June 7, as part of COVID-19 surveillance, CDC received reports of 326,335 women of reproductive age (15-44 years) who had positive test results for SARS-CoV-2, the virus that causes COVID-19. Data on pregnancy status were available for 91,412 (28.0%) women with laboratory-confirmed infections; among these, 8,207 (9.0%) were pregnant. Symptomatic pregnant and nonpregnant women with COVID-19 reported similar frequencies of cough (>50%) and shortness of breath (30%), but pregnant women less frequently reported headache, muscle aches, fever, chills, and diarrhea. Chronic lung disease, diabetes mellitus, and cardiovascular disease were more commonly reported among pregnant women than among nonpregnant women. Among women with COVID-19, approximately one third (31.5%) of pregnant women were reported to have been hospitalized compared with 5.8% of nonpregnant women. After adjusting for age, presence of underlying medical conditions, and race/ethnicity, pregnant women were significantly more likely to be admitted to the intensive care unit (ICU) (aRR = 1.5, 95% confidence interval [CI] = 1.2-1.8) and receive mechanical ventilation (aRR = 1.7, 95% CI = 1.2-2.4). Sixteen (0.2%) COVID-19-related deaths were reported among pregnant women aged 15-44 years, and 208 (0.2%) such deaths were reported among nonpregnant women (aRR = 0.9, 95% CI = 0.5-1.5). These findings suggest that among women of reproductive age with COVID-19, pregnant women are more likely to be hospitalized and at increased risk for ICU admission and receipt of mechanical ventilation compared with nonpregnant women, but their risk for death is similar. To reduce occurrence of severe illness from COVID-19, pregnant women should be counseled about the potential risk for severe illness from COVID-19, and measures to prevent infection with SARS-CoV-2 should be emphasized for pregnant women and their families.

As the worldwide COVID-19 pandemic unfolded, the clinical and public health community raced to understand SARS-CoV-2 infection and develop life-saving vaccines. Pregnant persons were disproportionately impacted, experiencing more severe illness and adverse pregnancy outcomes. And yet, when COVID-19 vaccines became available in late 2020, safety and efficacy data were not available to inform their use during pregnancy because pregnant persons were excluded from pre-authorization clinical trials. Concerns about vaccine safety during pregnancy and misinformation linking vaccination and infertility circulated widely, creating a lack of vaccine confidence. Many pregnant people initially chose not to get vaccinated, and while vaccination rates rose after safety and effectiveness data became available, COVID-19 vaccine acceptance was suboptimal and varied across racial and ethnic distribution of the pregnant population. The COVID-19 pandemic experience provided valuable insights that can inform current and future approaches to maternal vaccination against.