Changes in metabolic acidosis following birth in intensive care unit neonates.

BACKGROUND: Little is known about how and why metabolic acidosis changes within the first six hours of life in intensive care unit neonates. OBJECTIVE: To determine changes in pH and base excess between paired umbilical cord arterial and neonatal arterial blood samples during the first 6 h of life, to identify factors associated with the direction and magnitude of change, and to examine morbidity and mortality in newborns with acidosis at birth or as neonates. STUDY DESIGN: Retrospective cohort study of all deliveries from a single institution between 2016-2020 with paired umbilical cord arterial and neonatal arterial samples obtained within 6 h of life meeting rigorous criteria to ensure sample integrity. The primary outcomes were the direction and magnitude of change of pH and base excess. Multiple factors were assessed for possible correlation with pH and base excess change. The secondary outcome was the association between a composite outcome of death or cerebral palsy and pathologic acidosis (pH ≤ 7.1) at birth or as a neonate. RESULTS: 102 patients met inclusion criteria. Newborn arterial gasses were obtained at a median of 1.5 h (74 % < 2 h). pH improved in 71 % of cases and worsened in 29 %, and base excess improved in 52 % and worsened in 48 %, with wide observed ranges in both parameters. The paired pH and base excess values were moderately (r = 0.38) and strongly (r = 0.63) positively correlated, respectively, but were not correlated with time since birth (r = 0.14). Low birth weight, prematurity or respiratory failure were associated with worsening or less improvement, while worse initial acidosis was associated with greater improvement. Death or survival with cerebral palsy was more common with pathologic acidosis in either cord or newborn sample as compared with those without acidosis (27.3 % vs 3.7 %, p = 0.003), and was more common in those with isolated neonatal acidosis as compared to those without acidosis (50 % vs 3.7 %, p = 0.016). CONCLUSIONS: Changes in pH and base excess occurred over a wide range between delivery and the first newborn blood gas in the first 6 h of life, and we identified several factors associated with direction of change. Metabolic acidosis at birth cannot reliably be inferred from neonatal arterial values. Neonatal acidosis, including acidosis following a normal pH and base excess at birth, was associated with morbidity and mortality.

Initiation Patterns and Transitions Among Adults Using Stimulant Drugs: Latent Transition Analysis.

BACKGROUND: The fourth wave of the drug overdose epidemic in the United States includes increasing rates of stimulant-involved overdose. Recent studies of transitions leading to stimulant misuse have shown complex patterns that are not universally applicable because they have isolated individual populations or individual behaviors. A comprehensive analysis of transitions between behaviors and the associations with present-day problematic drug use has not been conducted. OBJECTIVE: This study aims to determine whether adults from the general population who use stimulants initiate use through a heterogeneous combination of behaviors and quantify the association between these typologies with present-day problematic drug use. METHODS: Individuals who have reported use of any stimulant in their lifetime were recruited from the 2021 Survey of Nonmedical Use of Prescription Drugs Program, a nationally representative web-based survey on drug use, to participate in a rapid follow-up survey about their past stimulant use. Individuals were asked which stimulants they used, the reasons for use, the routes of administration, and the sources of the stimulant. For each stimulant-related behavior, they were asked at what age, between 6 and 30 years, they initiated each behavior in a 6-year time window. A latent transition analysis was used to characterize heterogeneity in initiation typologies. Mutually exclusive pathways of initiation were identified manually by the researchers. The association of these pathways with present-day problematic drug use was calculated using logistic regression adjusted by the current age of the respondent. RESULTS: From a total of 1329 participants, 740 (55.7%) reported lifetime prescription stimulant use and 1077 (81%) reported lifetime illicit stimulant use. Three typologies were identified. The first typology was characterized by illicit stimulant initiation to get high, usually via oral or snorting routes and acquisition from friends or family or a dealer (illicit experimentation). The second typology was characterized by low, but approximately equal probabilities of initiating 1-2 new behaviors in a time window, but no singular set of behaviors characterized the typology (conservative initiation). The third was characterized by a high probability of initiating many diverse combinations of behaviors (nondiscriminatory experimentation). The choice of drug initiated was not a strong differentiator. Categorization of pathways showed those who were only in an illicit experimentation status (reference) had the lowest odds of having severe present-day problematic drug use. Odds were higher for a conservative initiation-only status (odds ratio [OR] 1.84, 95% CI 1.14-2.94), which is higher still for those moving from illicit experimentation to conservative initiation (OR 3.50, 95% CI 2.13-5.74), and highest for a nondiscriminatory experimentation status (OR 5.45, 95% CI 3.39-8.77). CONCLUSIONS: Initiation of stimulant-related use behaviors occurred across many time windows, indicating that multiple intervention opportunities are presented. Screening should be continued throughout adulthood to address unhealthy drug use before developing into full substance use disorders.

Differing Behaviors Around Adult Nonmedical Use of Prescription Stimulants and Opioids: Latent Class Analysis.

BACKGROUND: The availability of central nervous system stimulants has risen in recent years, along with increased dispensing of stimulants for treatment of, for example, parent-reported attention-deficit/hyperactivity disorder in children and new diagnoses during adulthood. Typologies of drug use, as has been done with opioids, fail to include a sufficient range of behavioral factors to contextualize person-centric circumstances surrounding drug use. Understanding these patterns across drug classes would bring public health and regulatory practices toward precision public health. OBJECTIVE: The objective of this study was to quantitatively delineate the unique behavioral profiles of adults who currently nonmedically use stimulants and opioids using a latent class analysis and to contrast the differences in findings by class. We further evaluated whether the subgroups identified were associated with an increased Drug Abuse Screening Test-10 (DAST-10) score, which is an indicator of average problematic drug use. METHODS: This study used a national cross-sectional web-based survey, using 3 survey launches from 2019 to 2020 (before the COVID-19 pandemic). Data from adults who reported nonmedical use of prescription stimulants (n=2083) or prescription opioids (n=6127) in the last 12 months were analyzed. A weighted latent class analysis was used to identify the patterns of use. Drug types, motivations, and behaviors were factors in the model, which characterized unique classes of behavior. RESULTS: Five stimulant nonmedical use classes were identified: amphetamine self-medication, network-sourced stimulant for alertness, nonamphetamine performance use, recreational use, and nondiscriminatory behaviors. The drug used nonmedically, acquisition through a friend or family member, and use to get high were strong differentiators among the stimulant classes. The latter 4 classes had significantly higher DAST-10 scores than amphetamine self-medication (P<.001). In addition, 4 opioid nonmedical use classes were identified: moderate pain with low mental health burden, high pain with higher mental health burden, risky behaviors with diverse motivations, and nondiscriminatory behaviors. There was a progressive and significant increase in DAST-10 scores across classes (P<.001). The potency of the opioid, pain history, the routes of administration, and psychoactive effect behaviors were strong differentiators among the opioid classes. CONCLUSIONS: A more precise understanding of how behaviors tend to co-occur would improve efficacy and efficiency in developing interventions and supporting the overall health of those who use drugs, and it would improve communication with, and connection to, those at risk for severe drug outcomes.

Clustering patterns in polysubstance mortality in the United States in 2017: a multiple correspondence analysis of death certificate data.

PURPOSE: The main goal of this analysis was to identify mortality patterns apparent when many drug classes are analyzed together. METHODS: The Drug Involved Mortality database is a registry of drug terms mentioned on death certificates of all drug-related deaths in the United States. Means of total number of drugs involved and percentages of specific drug combinations were calculated. Dimensionality reduction using multiple correspondence analysis and hierarchical clustering identified clusters of drugs listed on death certificates. RESULTS: An average of 2.4 specific drugs were listed on death certificates in 2017. For 9 of the top 10 drugs involved, over 80% of deaths involved at least one other drug. As expected, opioid drugs and psychostimulants clustered together, but other psychoactive substances (non-opioid analgesics, sedatives, antidepressants, antipsychotics) clustered together into multi-class groups. Other drugs (e.g., acetaminophen, oxymorphone) were frequently involved in polysubstance death, but did not cluster with any other specific drug. Deaths involving illicit drugs listed fewer drugs than deaths involving prescription drugs. CONCLUSIONS: While individual drug substances might contribute to many deaths (e.g., fentanyl), polysubstance mortality is more common than single substance mortality. Multidimensional analyses integrating all drugs involved are useful to identify uncommon patterns of overdose and changing trends.

Maternal opioid exposure, neonatal abstinence syndrome, and infant healthcare utilization: A retrospective cohort analysis.

BACKGROUND: We sought to describe healthcare utilization of infants by maternal opioid exposure and neonatal abstinence syndrome (NAS) status. METHODS: A longitudinal cohort of 81,833 maternal-infant dyads were identified from Oregon's 2008-2012 linked birth certificate and Medicaid eligibility and claims data. Chi-square tests compared term infants (≥37 weeks of gestational age) by maternal opioid exposure, defined using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes or prescription fills, and NAS, defined using ICD-9-CM codes, such that infants were categorized as Opioid+/ NAS+, Opioid+/NAS-, Opioid-/NAS+, and Opioid-/NAS-. Modified Poisson regression was used to calculate adjusted risk ratios (aRR) and 95 % confidence intervals (CI) for healthcare utilization for each infant group compared to Opioid-/NAS- infants. RESULTS: The prevalence of documented maternal opioid exposure was 123.1 per 1000 dyads and NAS incidence was 5.8 per 1000 dyads. Compared to Opioid-/NAS- infants, infants with maternal opioid exposures were more likely to be hospitalized within 4 weeks (Opioid+/ NAS+: [aRR: 4.7; 95 % CI: 4.3-5.1]; Opioid+/ NAS-: [aRR: 3.7; 95 %CI: 3.1-4.5]) and a year after birth (Opioid+/ NAS+: [aRR: 3.7; 95 %CI: 3.4-4.0]; Opioid+/ NAS-: [aRR: 2.8; 95 %CI: 2.3-3.4]). Infants with maternal opioid exposure and/or NAS were more likely than Opioid-/NAS- infants to have ≥2 sick visits and any ED visits in the year after birth. CONCLUSIONS: Infants with NAS and/or maternal opioid exposure had greater healthcare utilization than infants without NAS or opioid exposure. Efforts to mitigate future hospitalization risk and encourage participation in preventative services within the first year of life may improve outcomes.

Biochemically confirmed smoking cessation and gestational weight gain.

BACKGROUND: Prenatal smoking cessation has substantial health benefits for mothers and offspring, but concerns about weight gain may be a barrier to quitting. We quantified gestational weight gain associated with biochemically confirmed smoking cessation. METHODS: Data originated from a randomized controlled cessation trial: Smoking Cessation in Pregnancy project (1987-1991). We calculated gestational weight gain using self-reported prepregnancy weight and measured weight at 30-34 weeks of gestation. We used linear regression to estimate adjusted mean differences in gain for quitters versus continuing smokers by the last trimester. The effects of quitting earlier (by 2nd trimester) versus later (by 3rd trimester) were calculated. We assessed the percentages who gained weight according to Institute of Medicine (IOM) recommendations within 2 weeks of a full-term delivery. RESULTS: At 30-34 weeks, nulliparous and multiparous quitters gained an average of 3.0 pounds (95% CI 0.9-5.1 pounds) (1.4 kg [0.4-2.3 kg]) and 6.6 pounds (95% CI 4.3-8.9 pounds) (3.0 kg [1.9-4.0 kg]) more, respectively, than continuing smokers. Weight gain in early quitters did not differ significantly from that in late quitters. Quitters were more likely than continuing smokers to gain above current guidelines (60.3% vs 46.3%) and were less likely to gain below guidelines (11.5% vs 21.6%) (P = 0.002). CONCLUSIONS: Although quitters had modest additional weight gain by 30-34 weeks compared to continuing smokers, a high proportion in both groups gained in excess of IOM recommendations. Both quitters and continuing smokers may need support to achieve optimal gestational weight gain.

Trends in Postpartum Depressive Symptoms - 27 States, 2004, 2008, and 2012.

Postpartum depression is common and associated with adverse infant and maternal outcomes (e.g., lower breastfeeding initiation and duration and poor maternal and infant bonding) (1-3). A developmental Healthy People 2020 objective is to decrease the proportion of women delivering a live birth who experience postpartum depressive symptoms (PDS).* To provide a baseline for this objective, CDC sought to describe self-reported PDS overall, by reporting state, and by selected sociodemographic factors, using 2004, 2008, and 2012 data from the Pregnancy Risk Assessment Monitoring System (PRAMS). A decline in the prevalence of PDS was observed from 2004 (14.8%) to 2012 (9.8%) among 13 states with data for all three periods (p<0.01). Statistically significant (p<0.05) declines in PDS prevalence were observed for eight states, and no significant changes were observed for five states. In 2012, the overall PDS prevalence was 11.5% for 27 states and ranged from 8.0% (Georgia) to 20.1% (Arkansas). By selected characteristics, PDS prevalence was highest among new mothers who 1) were aged ≤19 years or 20-24 years, 2) were of American Indian/Alaska Native or Asian/Pacific Islander race/ethnicity, 3) had ≤12 years of education, 4) were unmarried, 5) were postpartum smokers, 6) had three or more stressful life events in the year before birth, 7) gave birth to term, low-birthweight infants, and 8) had infants requiring neonatal intensive care unit admission at birth. Although the study did not investigate reasons for the decline, better recognition of risk factors for depression and improved screening and treatment before and during pregnancy, including increased use of antidepressants, might have contributed to the decline. However, more efforts are needed to reduce PDS prevalence in certain states and subpopulations of women. Ongoing surveillance and activities to promote appropriate screening, referral, and treatment are needed to reduce PDS among U.S. women.

Risks of Preterm Delivery and Small for Gestational Age Infants: Effects of Nondaily and Low-Intensity Daily Smoking During Pregnancy.

BACKGROUND: Few studies have examined the effects of nondaily smoking or low-intensity daily smoking and infant outcomes. We examined the associations between preterm delivery and small for gestational age (SGA) infants in relation to both nondaily and daily smoking. METHODS: We used population-based data on women who delivered live singleton infants using the 2009-11 Pregnancy Risk Assessment Monitoring System. Women's smoking status in the last 3 months of pregnancy was categorised as nonsmokers, quitters, nondaily smokers (<1 cigarette/day), and daily smokers. Controlling for maternal age, maternal race/ethnicity, education, marital status, prepregnancy body mass index (BMI), trimester of prenatal care entry, parity, and alcohol use, we estimated adjusted prevalence ratios (PR) for the outcomes of preterm delivery (<37 weeks' gestation) and SGA. RESULTS: Of the 88 933 women, 13.1%, 1.7%, and 9.6% of the sample were quitters, nondaily smokers, and daily smokers, respectively, in the last 3 months of pregnancy. While nondaily smoking was not associated with preterm delivery, daily smoking was. However, we found no dose-response relationship with the number of cigarettes smoked per day. Risk of delivering a SGA infant was increased for both nondaily and daily smokers (PR 1.4, 95% CI 1.1, 1.8 and PR 2.0, 95% CI 1.9, 2.2 respectively). CONCLUSIONS: Nondaily smoking in the last 3 months of pregnancy was associated with an increased risk of delivering a SGA infant. Pregnant women should be counselled that smoking, including nondaily and daily smoking, can adversely affect birth outcomes.

Nondaily Smokers' Characteristics and Likelihood of Prenatal Cessation and Postpartum Relapse.

INTRODUCTION: This study aimed to calculate the prevalence of pre-pregnancy nondaily smoking (<1 cigarette/day), risk factors, and report of prenatal provider smoking education; and assess the likelihood of prenatal cessation and postpartum relapse for nondaily smokers. METHODS: We analyzed data from 2009 to 2011 among women with live-born infants participating in the Pregnancy Risk Assessment Monitoring System. We compared characteristics of pre-pregnancy daily smokers (≥1 cigarette/day), nondaily smokers, and nonsmokers (chi-square adjusted p < .025). Between nondaily and daily smokers, we compared proportions of prenatal cessation, postpartum relapse (average 4 months postpartum), and reported provider education. Multivariable logistic regression calculated adjusted prevalence ratios (APR) for prenatal cessation among pre-pregnancy smokers (n = 27 360) and postpartum relapse among quitters (n = 13 577). RESULTS: Nondaily smokers (11% of smokers) were more similar to nonsmokers and differed from daily smokers on characteristics examined (p ≤ .001 for all). Fewer nondaily smokers reported provider education than daily smokers (71.1%, 86.3%; p < .001). A higher proportion of nondaily compared to daily smokers quit during pregnancy (89.7%, 49.0%; p < .001), and a lower proportion relapsed postpartum (22.2%, 48.6%; p < .001). After adjustment, nondaily compared to daily smokers were more likely to quit (APR: 1.65; 95% confidence interval [CI]: 1.58-1.71) and less likely to relapse postpartum (APR: 0.55; 95% CI: 0.48-0.62). CONCLUSIONS: Nondaily smokers were more likely to quit smoking during pregnancy, less likely to relapse postpartum, and less likely to report provider education than daily smokers. Providers should educate all women, regardless of frequency of use, about the harms of tobacco during pregnancy, provide effective cessation interventions, and encourage women to be tobacco free postpartum and beyond. IMPLICATION: Nondaily smoking (<1 cigarette/day) is increasing among US smokers and carries a significant risk of disease. However, smoking patterns surrounding pregnancy among nondaily smokers are unknown. Using 2009-2011 data from the Pregnancy Risk Assessment Monitoring System, we found pre-pregnancy nondaily smokers compared to daily smokers were 65% more likely to quit smoking during pregnancy and almost half as likely to relapse postpartum. Providers should educate all women, regardless of frequency of use, about the harms of tobacco during pregnancy, provide effective cessation interventions, and encourage women to be tobacco free postpartum and beyond.

Postpartum Smoking Relapse After Quitting During Pregnancy: Pregnancy Risk Assessment Monitoring System, 2000-2011.

BACKGROUND: Relapsing to smoking postpartum jeopardizes a woman's health and her infant's health. Our study estimated the proportion and identified characteristics associated with postpartum relapse using a large population-based sample. MATERIALS AND METHODS: We analyzed Pregnancy Risk Assessment Monitoring System data among women with live births. Relapse was defined as smoking at survey completion among those who quit by the last 3 months of pregnancy. We assessed linear trends for relapse during 2000-2011 in 40 sites overall and individually using logistic regression. Adjusted prevalence ratios (aPRs) were calculated to assess characteristics associated with relapse during 2009-2011 (n = 13,076). RESULTS: During 2000-2011, the proportion of women who relapsed postpartum remained unchanged overall (p = 0.84) and by site (p ≥ 0.05 for each), ranging in 2011 from 30.8% to 52.2% (Wyoming-Arkansas). Characteristics associated with relapse compared with reference groups were prepregnancy daily smoking (aPR = 1.80; 95% confidence interval (CI): 1.59-2.04); age <20 years (aPR = 1.51; 1.24-1.84), 20-24 years (aPR = 1.39; 1.17-1.65), or 25-34 years (aPR = 1.26; 1.07-1.48); not initiating breastfeeding (aPR = 1.34; 1.24-1.44); not having a complete home smoking ban (aPR = 1.27; 1.14-1.42); being black non-Hispanic (aPR = 1.25; 1.14-1.38); being multiparous (aPR = 1.20; 1.11-1.28); experiencing 3-5 stressors during pregnancy (aPR = 1.12; 1.01-1.24); having an unintended pregnancy (aPR = 1.11; 1.03-1.19); and having 12 years of education (aPR = 1.09; 1.01-1.17). CONCLUSIONS: There was no change in the proportion of women relapsing postpartum during 2000-2011. In 2011, nearly half (42%) of women relapsed after quitting smoking during pregnancy. Disparities exist by site and by maternal characteristics. A comprehensive approach maximizing tobacco control efforts and developing effective clinical interventions delivered across sectors is necessary for long-term tobacco abstinence among women.

Trends in smoking before, during, and after pregnancy--Pregnancy Risk Assessment Monitoring System, United States, 40 sites, 2000-2010.

PROBLEM: Smoking during pregnancy increases the risk for complications such as fetal growth restriction, preterm delivery, and infant death. In 2002, 5%-8% of preterm deliveries, 13%-19% of term infants with growth restriction, 5%-7% of preterm-related deaths, and 23%-34% of deaths from sudden infant death syndrome were attributable to prenatal smoking in the United States. REPORTING PERIOD COVERED: 2000-2010. DESCRIPTION OF SYSTEM: The Pregnancy Risk Assessment Monitoring System (PRAMS) was initiated in 1987 and is an ongoing state- and population-based surveillance system designed to monitor selected maternal behaviors and experiences that occur before, during, and after pregnancy among females who deliver live-born infants in the United States. Self-reported questionnaire data are linked to selected birth certificate data and are weighted to represent all women delivering live infants in the state. Self-reported smoking data were obtained from the PRAMS questionnaire and birth certificates. This report provides data on trends (aggregated and site-specific estimates) in smoking before, during, and after pregnancy from 40 PRAMS sites during 2000-2010. RESULTS: For the majority of sites, smoking prevalence before, during, or after pregnancy did not change over time. During 2000-2010, smoking prevalence decreased in three sites (Minnesota, New York state, and Utah) for all three measures and in eight sites (Colorado, Illinois, New Jersey, New Mexico, New York City, Washington, Wisconsin and Wyoming) for one or two of the measures. Smoking prevalence increased for all three measures in three sites (Louisiana, Mississippi, and West Virginia); an increase in prevalence before pregnancy (only) occurred in Oklahoma, and an increase during and after pregnancy occurred in Maine. For a subgroup of 10 sites for which data were available for the entire 11-year study period (Alaska, Arkansas, Colorado, Hawaii, Maine, Nebraska, Oklahoma, Utah, Washington, and West Virginia), the prevalence of smoking before pregnancy remained unchanged, with approximately one in five women reporting smoking before pregnancy (23.6% in 2000 to 24.7% in 2010). The prevalence of smoking during pregnancy decreased (p = 0.04; linear trend assessed with logistic regression) from 13.3% in 2000 to 12.3% in 2010, and the prevalence of smoking after delivery decreased (p<0.01) from 18.6% in 2000 to 17.2% in 2010. INTERPRETATION: The results indicate that efforts to reduce smoking prevalence among female smokers before pregnancy have not been effective; however, tobacco-control efforts have been minimally effective in reducing smoking prevalence during and after pregnancy. Current tobacco-control efforts in most sites might be insufficient to reach national objectives related to reducing prevalence of smoking during pregnancy. PUBLIC HEALTH ACTION: States with no change in or increasing smoking prevalence before, during, and after pregnancy can help reduce prevalence through sustained and comprehensive tobacco-control efforts (e.g., mass media campaigns, coverage of tobacco cessation, 100% smoke-free policies, and tobacco excise taxes).