Association between SARS-CoV-2 Infection and Adverse Perinatal Outcomes by Race/Ethnicity in a Large Integrated Health Care System.

OBJECTIVE: Recent studies have reported associations between severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection during pregnancy and adverse perinatal outcomes but the extent to which these associations vary by race/ethnicity remains uncertain. Therefore, we examined how the association between prenatal SARS-CoV-2 infection and adverse perinatal outcomes may be modified by race/ethnicity. STUDY DESIGN: A retrospective cohort study was performed using data on 67,986 pregnant women extracted from the Kaiser Permanente Southern California electronic health records between April 6, 2020, and December 31, 2021. Upon admission to labor and delivery, all women were routinely tested for coronavirus disease 2019 (COVID-19) using real-time reverse-transcriptase polymerase chain reaction test. Adjusted odds ratios (aORs) were used to estimate associations. RESULTS: During the study period, COVID-19 was diagnosed in 4,960 (7%) of singleton pregnancies, with the highest rates observed among Hispanics (9.4%) and non-Hispanic Blacks (6.2%). Compared with non-Hispanic Whites, Hispanics (aOR: 1.12, 95% CI: 1.03, 1.21) with SARS-CoV-2 infection had the highest odds of a pregnancy associated with nonreassuring fetal heart rate tracing. Neonates of all races/ethnicities, except for non-Hispanic Blacks, showed significantly increased odds of SARS-CoV-2 infection, with the highest risk observed among Asians/Pacific Islanders (aOR: 10.88, 95% CI: 1.33, 89.04). Non-Hispanic White mothers who tested positive were admitted to intensive care unit (ICU) at a higher rate at delivery and within 7 days of delivery (aOR: 34.77, 95% CI: 11.3, 107.04; aOR: 26.48, 95% CI: 9.55, 73.46, respectively). Hispanics were also at a significantly higher odds of admission to ICU (aOR: 4.62, 95% CI: 2.69, 7.94; aOR: 4.42, 95% CI: 2.58, 7.56, respectively). Non-Hispanic Black, Hispanic, and Asian/Pacific Islander mothers who tested positive for SARS-CoV-2 prenatally, were at increased risk for preeclampsia/eclampsia, and preterm birth as compared to non-Hispanic White mothers. CONCLUSION: The findings highlight racial/ethnic disparities in the association between SARS-CoV-2 infection and adverse perinatal outcomes. The risk of neonatal SARS-CoV-2 infection was highest for Asian/Pacific Islanders. We also observed a remarkably high risk of ICU admission for non-Hispanic White mothers infected with SARS-CoV-2. KEY POINTS: · Race/ethnicity influences perinatal outcomes in pregnancies impacted by SARS-CoV-2.. · The risk of neonatal SARS-CoV-2 infection was highest for Asian/Pacific Islanders.. · White mothers had a notably high risk of ICU admission at delivery following SARS-CoV-2 infection..

Rising Trends of Childhood Attention-Deficit/Hyperactivity Disorder in a Large Integrated Healthcare Delivery System in Southern California, 2010-2021.

OBJECTIVE: To evaluate trends of attention-deficit/hyperactivity disorder (ADHD) diagnosis rates among children aged 5-17 years over the past decade (2010-2021) and to investigate whether there have been differences in temporal changes based on race and ethnicity, sex, or income. STUDY DESIGN: Childhood ADHD diagnosis was ascertained from electronic health records using International Classification of Diseases ninth revision (314.xx) and International Classification of Diseases tenth revision (F90.x) codes. Data were stratified by child's sex, race and ethnicity, and household income, and rates of ADHD were estimated before and after adjustment for potential confounders. RESULTS: The overall ADHD diagnosis rates increased from 3.5% in 2010 to 4.0% in 2021. ADHD diagnosis was most prevalent among White children (6.1%), then Black (4.6%), Other/multiple (3.7%), Hispanic (3.1%), and Asian/Pacific Islander (PI) (1.7%). ADHD was also highly prevalent among boys (73.3%) or family income≥$70,000 (50.0%). ADHD diagnosis increased among Black (4.2% to 5.1%), Hispanic (2.8% to 3.6%), and Asian/PI children (1.5% to 2.0%) but remained stable for White (6.2% to 6.1%) and Other/multiple race/ethnic children (3.7% to 3.7%). Increases in the prevalence among girls were also observed. CONCLUSION: The prevalence of ADHD in children has risen with the largest increases observed for Black, Hispanic, and Asian/PI children. Rates among less affluent families and girls have also been increasing, narrowing the gaps in diagnosis rates previously observed. These increases may reflect improvements in screening and provision of care among demographics where ADHD has been historically underdiagnosed.

Risk of Feeding Problems Among Infants With Neonatal Abstinence Syndrome: A Retrospective Cohort Study.

BACKGROUND: The rate of infants born with neonatal abstinence syndrome (NAS) increased by more than 500% between 2004 and 2016. Although feeding problems among infants diagnosed with NAS have been documented, the risk of feeding problems among infants diagnosed with NAS has not been estimated. PURPOSE: This study evaluates the extent to which feeding problems among infants diagnosed with NAS differ from thise in infants without an NAS diagnosis. METHODS/SEARCH STRATEGY: A matched retrospective cohort study (2008-2017) of infants diagnosed with NAS in the United States was conducted using hospital admission data from the Cerner Health Facts Database. Multivariable logistic regressions controlling for confounders were used to assess whether an NAS diagnosis is associated with hospital admission due to feeding problems. FINDINGS/RESULTS: Infants with NAS were nearly 3 times as likely (OR = 2.81; 95% CI, 2.68-2.95) to have feeding problems compared with infants without NAS after adjusting for infant and hospital characteristics. Lower birth weight, higher infant age, Hispanic ethnicity, and hospital location in the Midwest region were also associated with higher odds of feeding problems. Infants diagnosed with NAS who had feeding problems had slightly lower odds of being offered lactation services than infants without NAS who had feeding problems. IMPLICATIONS FOR PRACTICE: These findings suggest the need for targeted feeding interventions. IMPLICATIONS FOR RESEARCH: Future research on infants with NAS may build on these findings by assessing the role of maternal factors such as nutrition and substance use to understand how parental characteristics also influence the risk for hospitalization.

Examining recent trends in spontaneous and iatrogenic preterm birth across race and ethnicity in a large managed care population.

BACKGROUND: For the past several decades, epidemiological studies originating from the United States have consistently reported increasing rates of preterm birth (PTB). Despite the implementation of several clinical and public health interventions to reduce PTB rates, it remains the leading cause of infant morbidity and mortality in the United States and around the world. OBJECTIVE: This study aimed to examine recent trends in preterm birth and its clinical subtypes by maternal race and ethnicity among singleton births. STUDY DESIGN: Kaiser Permanente Southern California electronic health records for all singleton births between 2009 and 2020 (n=427,698) were used to examine preterm birth trends and their subtypes (spontaneous and iatrogenic preterm births). Data on preterm labor triage extracted from electronic health records using natural language processing were used to define preterm birth subtypes. Maternal race and ethnicity are categorized as non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian or Pacific Islander. Multiple logistic regression was used to quantify the linear trend for preterm birth and its subtypes. Racial and ethnic trends were further examined by considering statistical interactions and stratifications. RESULTS: From 2009 to 2020, the overall preterm birth rate decreased by 9.12% (from 8.04% to 7.31%; P<.001). The rates decreased by 19.29% among non-Hispanic Whites (from 7.23% to 5.83%; P<.001), 6.15% among Hispanics (from 7.82% to 7.34%; P=.036), and 12.60% among non-Hispanic Asian or Pacific Islanders (from 8.90% to 7.78%; P<.001), whereas a nonsignificantly increased preterm birth rate (8.45%) was observed among non-Hispanic Blacks (from 9.91% to 10.75%; P=.103). Between 2009 and 2020, overall spontaneous preterm birth rates decreased by 28.85% (from 5.75% to 4.09%; P<.001). However, overall iatrogenic preterm birth rates increased by 40.45% (from 2.29% to 3.22%; p<.001). Spontaneous preterm birth rates decreased by 34.73% among non-Hispanic Whites (from 5.44% to 3.55%; P<.001), 19.75% among non-Hispanic Blacks (from 6.82% to 5.47%; P<.001), 22.96% among Hispanics (from 5.55% to 4.28%; P<.001), and 28.19% among non-Hispanic Asian or Pacific Islanders (from 6.50% to 4.67%; P<.001). Iatrogenic preterm birth rates increased by 52.42% among non-Hispanic Whites (from 1.88% to 2.61%; P<.001), 107.89% among non-Hispanic Blacks (from 3.18% to 6.13%; P<.001), 46.88% among Hispanics (from 2.29% to 3.26%; P<.001), and 42.21% among non-Hispanic Asian or Pacific Islanders (from 2.45% to 3.44%; P<.001). CONCLUSION: The overall preterm birth rate decreased over time and was driven by a decrease in the spontaneous preterm birth rate. There is racial and ethnic variability in the rates of spontaneous preterm birth and iatrogenic preterm birth. The observed increase in iatrogenic preterm birth among all racial and ethnic groups, especially non-Hispanic Blacks, is disconcerting and needs further investigation.

Identification of Preterm Labor Evaluation Visits and Extraction of Cervical Length Measures from Electronic Health Records Within a Large Integrated Health Care System: Algorithm Development and Validation.

BACKGROUND: Preterm birth (PTB) represents a significant public health problem in the United States and throughout the world. Accurate identification of preterm labor (PTL) evaluation visits is the first step in conducting PTB-related research. OBJECTIVE: We aimed to develop a validated computerized algorithm to identify PTL evaluation visits and extract cervical length (CL) measures from electronic health records (EHRs) within a large integrated health care system. METHODS: We used data extracted from the EHRs at Kaiser Permanente Southern California between 2009 and 2020. First, we identified triage and hospital encounters with fetal fibronectin (fFN) tests, transvaginal ultrasound (TVUS) procedures, PTL medications, or PTL diagnosis codes within 240/7-346/7 gestational weeks. Second, clinical notes associated with triage and hospital encounters within 240/7-346/7 gestational weeks were extracted from EHRs. A computerized algorithm and an automated process were developed and refined by multiple iterations of chart review and adjudication to search the following PTL indicators: fFN tests, TVUS procedures, abdominal pain, uterine contractions, PTL medications, and descriptions of PTL evaluations. An additional process was constructed to extract the CLs from the corresponding clinical notes of these identified PTL evaluation visits. RESULTS: A total of 441,673 live birth pregnancies were identified between 2009 and 2020. Of these, 103,139 pregnancies (23.35%) had documented PTL evaluation visits identified by the computerized algorithm. The trend of pregnancies with PTL evaluation visits slightly decreased from 24.41% (2009) to 17.42% (2020). Of the first 103,139 PTL visits, 19,439 (18.85%) and 44,423 (43.97%) had an fFN test and a TVUS, respectively. The percentage of first PTL visits with an fFN test decreased from 18.06% at 240/7 gestational weeks to 2.32% at 346/7 gestational weeks, and TVUS from 54.67% at 240/7 gestational weeks to 12.05% in 346/7 gestational weeks. The mean (SD) of the CL was 3.66 (0.99) cm with a mean range of 3.61-3.69 cm that remained stable across the study period. Of the pregnancies with PTL evaluation visits, the rate of PTB remained stable over time (20,399, 19.78%). Validation of the computerized algorithms against 100 randomly selected records from these potential PTL visits showed positive predictive values of 97%, 94.44%, 100%, and 96.43% for the PTL evaluation visits, fFN tests, TVUS, and CL, respectively, along with sensitivity values of 100%, 90%, and 90%, and specificity values of 98.8%, 100%, and 98.6% for the fFN test, TVUS, and CL, respectively. CONCLUSIONS: The developed computerized algorithm effectively identified PTL evaluation visits and extracted the corresponding CL measures from the EHRs. Validation against this algorithm achieved a high level of accuracy. This computerized algorithm can be used for conducting PTL- or PTB-related pharmacoepidemiologic studies and patient care reviews.

Epidemiological trends in opioid-only and opioid/polysubstance-related death rates among American Indian/Alaska Native populations from 1999 to 2019: a retrospective longitudinal ecological study.

OBJECTIVES: The rate of drug overdose deaths in the USA has more than tripled since the turn of the century, and rates are disproportionately high among the American Indian/Alaska Native (AI/AN) population. Little is known about the overall historical trends in AI/AN opioid-only and opioid/polysubstance-related mortality. This study will address this gap. DESIGN: This is a retrospective longitudinal ecological study. SETTING: US death records from 1999 to 2019 using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. PARTICIPANTS: US non-Hispanic AI/AN people age 12 years and older. MEASURES: The primary outcomes, identified via the 10th revision of the International Statistical Classification of Diseases and Related Health Problems codes, included overdose deaths due to (1) opioids only, opioids in combination with any other substance, all-opioid related overdoses; (2) combinations of opioids and alcohol, opioids and methamphetamine, opioids and cocaine, opioids and benzodiazepines; and (3) specific types of opioids. RESULTS: From 1999 to 2019, opioid-only mortality rates increased from 2.8 to 15.8 per 100 000 (p<0.001) for AI/AN women and 4.6 to 25.6 per 100 000 (p<0.001) for AI/AN men. All opioid-related mortality rates increased significantly (p<0.001) from 5.2 to 33.9 per 100 000 AI/AN persons, 3.9 to 26.1 for women and 6.5 to 42.1 for men. AI/AN also exhibited significant increases in mortality rates due to opioids and alcohol, opioids and benzodiazepines, opioids and methamphetamine, and AI/AN men experienced substantial increases in mortality due to opioids and cocaine. Mortality rates by individual opioid types increased significantly over time for heroin, natural and semi-synthetic (prescription), and synthetic opioids (fentanyl/fentanyl analogues) other than methadone. CONCLUSIONS: These findings highlight magnification over time in opioid-related deaths and may point to broader systemic factors that may disproportionately affect members of AI/AN communities and drive inequities.

Associations between discrimination and adverse mental health symptoms and disorder diagnoses among college students in the United States.

BACKGROUND: Mental health disorders are prevalent among college students in the US. Perceived discrimination is a known risk factor for adverse mental health and is widespread on college campuses. METHODS: We estimated the association between perceived discrimination and mental health among US college students using the American College Health Association-National College Health Assessment (ACHA-NCHA), a large national cross-sectional survey of college students. RESULTS: 7.9% of students reported experiences of discrimination, and that discrimination was more common among minority students. Perceived discrimination was associated with 86 excess cases of students reporting being too depressed to function per 1000 students, and 27 excess cases of students reporting seriously considering suicide per 1000 students. Students who experienced discrimination had a 37% increase in the number of mental health symptoms (IRR 1.37 [95% CI 1.35, 1.39], P < .0001) compared to non-discriminated students, and a 94% increase in the number of mental health diagnoses (IRR 1.94 [95% CI 1.89, 1.99], P < .0001). Discrimination was positively associated with all mental health symptoms and diagnoses. This pattern was largely held across sub-analyses by race/ethnicity, gender, and sexual orientation, but with varying magnitudes. LIMITATIONS: Inability to distinguish between the forms of discrimination experienced, whether involving gender, sexual orientation, or race/ethnicity. CONCLUSIONS: Consequences of perceived discrimination are of clinical relevance for healthcare providers in general and mental health providers in particular. This study confirms the association between perceived discrimination and adverse mental health in college students. Efforts to reduce discrimination and bias in college campuses may improve the mental health of students.

Associations between discrimination and substance use among college students in the United States from 2015 to 2019.

Discrimination has been associated with adverse health behaviors and outcomes, including substance use. Higher rates of substance use are reported among some marginalized groups, such as lesbian, gay, and bisexual populations, and have been partially attributed to discrimination. This study uses 2015-2019 National College Health Assessment data to determine whether college students reporting discrimination due to sexual orientation, race/ethnicity, gender, or age report greater substance use than their peers who do not report such experiences. Additionally, we assess exploratory questions regarding whether substance choices differ among students who reported facing discrimination. Over time, about 8.0% of students reported experiencing discrimination in the past year. After applying inverse probability treatment weights (IPTWs), exposure to discrimination was associated with an excess of 44 cases of marijuana use per 1000 students, an excess of 39 cases of alcohol use per 1000 students, and an excess of 11 cases of prescription painkiller use per 1000 students. Multivariable logistic regression models with IPTW demonstrated that students who experienced discrimination were more than twice as likely to use inhalants and methamphetamine. These students were also significantly more likely to use other drugs, including opiates, non-prescribed painkillers, marijuana, alcohol, hallucinogens, cocaine, and cigarettes; however, the differences with peers were smaller in magnitude. Students who experienced discrimination did not differ from peers who reported non-prescribed antidepressants use and were significantly less likely to use e-cigarettes and smokeless tobacco. Associations between discrimination and substance use vary by race, gender, sexual orientation, and age. These findings indicate that discrimination has significant associations with many kinds of substance use; however, the magnitude varies by substance type. More institutional efforts to address sources of discrimination affecting college students are needed.

Trends in the Use of Naltrexone for Addiction Treatment among Alcohol Use Disorder Admissions in U.S. Substance Use Treatment Facilities.

BACKGROUND: Naltrexone, a medication for addiction treatment (MAT), is an FDA-approved medication recommended for the treatment of alcohol use disorder (AUD). Despite the high prevalence of AUD and efficacy of naltrexone, only a small percentage of individuals with AUD receive treatment. OBJECTIVES: To identify trends for the prescription of naltrexone in AUD admissions in substance use treatment centers across the U.S. METHODS: Data from the 2000-2018 U.S. Treatment Episode Data Set: Admissions (TEDS-A) were used in temporal trend analysis of naltrexone prescription in admissions that only used alcohol. Data from the 2019 National Survey of Substance Abuse Treatment Services (N-SSATS) were also used to characterize medication use among AUD clients across different treatment service settings. RESULTS: Treatment of AUD with naltrexone was 0.49% in 2000 and tripled from 0.53% in 2015 to 1.64% in 2018 in AUD admissions (p < 0.0001 for the Cochran-Armitage trend test). Women, middle-aged adults, and admissions for clients living in the Northeast U.S. were more likely to be prescribed naltrexone than their respective counterparts, as were admissions with prior treatment episodes and referrals through alcohol/drug use care providers, who paid for treatment primarily through private insurance, used alcohol daily in the month prior to admission, and waited 1-7 days to enter treatment. Naltrexone was more commonly prescribed by AUD admissions compared to acamprosate and disulfiram and was more frequently prescribed in residential and outpatient services as opposed to hospital inpatient services. CONCLUSIONS: Naltrexone remains underutilized for AUD, and factors that influence prescription of medication are multifaceted. This study may contribute to the creation of effective interventions aimed at reducing naltrexone disparities for AUD.

Racial disparities in COVID-19 outcomes exist despite comparable Elixhauser comorbidity indices between Blacks, Hispanics, Native Americans, and Whites.

Factors contributing to racial inequities in outcomes from coronavirus disease 2019 (COVID-19) remain poorly understood. We compared by race the risk of 4 COVID-19 health outcomes--maximum length of hospital stay (LOS), invasive ventilation, hospitalization exceeding 24 h, and death--stratified by Elixhauser comorbidity index (ECI) ranking. Outcomes and ECI scores were constructed from retrospective data obtained from the Cerner COVID-19 De-Identified Data cohort. We hypothesized that racial disparities in COVID-19 outcomes would exist despite comparable ECI scores among non-Hispanic (NH) Blacks, Hispanics, American Indians/Alaska Natives (AI/ANs), and NH Whites. Compared with NH Whites, NH Blacks had longer hospital LOS, higher rates of ventilator dependence, and a higher mortality rate; AI/ANs, higher odds of hospitalization for ECI = 0 but lower for ECI ≥ 5, longer LOS for ECI = 0, a higher risk of death across all ECI categories except ECI ≥ 5, and higher odds of ventilator dependence; Hispanics, a lower risk of death across all ECI categories except ECI = 0, lower odds of hospitalization, shorter LOS for ECI ≥ 5, and higher odds of ventilator dependence for ECI = 0 but lower for ECI = 1-4. Our findings contest arguments that higher comorbidity levels explain elevated COVID-19 death rates among NH Blacks and AI/ANs compared with Hispanics and NH Whites.

The risk of clinical complications and death among pregnant women with COVID-19 in the Cerner COVID-19 cohort: a retrospective analysis.

BACKGROUND: Pregnant women are potentially a high-risk population during infectious disease outbreaks such as COVID-19, because of physiologic immune suppression in pregnancy. However, data on the morbidity and mortality of COVID-19 among pregnant women, compared to nonpregnant women, are sparse and inconclusive. We sought to assess the impact of pregnancy on COVID-19 associated morbidity and mortality, with particular attention to the impact of pre-existing comorbidity. METHODS: We used retrospective data from January through June 2020 on female patients aged 18-44 years old utilizing the Cerner COVID-19 de-identified cohort. We used mixed-effects logistic and exponential regression models to evaluate the risk of hospitalization, maximum hospital length of stay (LOS), moderate ventilation, invasive ventilation, and death for pregnant women while adjusting for age, race/ethnicity, insurance, Elixhauser AHRQ weighted Comorbidity Index, diabetes history, medication, and accounting for clustering of results in similar zip-code regions. RESULTS: Out of 22,493 female patients with associated COVID-19, 7.2% (n = 1609) were pregnant. Crude results indicate that pregnant women, compared to non-pregnant women, had higher rates of hospitalization (60.5% vs. 17.0%, P < 0.001), higher mean maximum LOS (0.15 day vs. 0.08 day, P < 0.001) among those who stayed < 1 day, lower mean maximum LOS (2.55 days vs. 3.32 days, P < 0.001) among those who stayed ≥1 day, and higher moderate ventilation use (1.7% vs. 0.7%, P < 0.001) but showed no significant differences in rates of invasive ventilation or death. After adjusting for potentially confounding variables, pregnant women, compared to non-pregnant women, saw higher odds in hospitalization (aOR: 12.26; 95% CI (10.69, 14.06)), moderate ventilation (aOR: 2.35; 95% CI (1.48, 3.74)), higher maximum LOS among those who stayed < 1 day, and lower maximum LOS among those who stayed ≥1 day. No significant associations were found with invasive ventilation or death. For moderate ventilation, differences were seen among age and race/ethnicity groups. CONCLUSIONS: Among women with COVID-19 disease, pregnancy confers substantial additional risk of morbidity, but no difference in mortality. Knowing these variabilities in the risk is essential to inform decision-makers and guide clinical recommendations for the management of COVID-19 in pregnant women.

The Baby-Friendly Hospital Initiative (BFHI): An Early Cross-Sectional Analysis of PRAMS Phase 8 Data on Hospital Practices and Breastfeeding Outcomes in Utah and Wyoming.

INTRODUCTION: Breastfeeding has immediate and long-term benefits for both maternal and child health. This study examines the association between Baby-Friendly Hospital Initiative (BFHI) experiences and breastfeeding outcomes in the Mountain West region. METHODS: A cross-sectional (retrospective secondary data analysis) was performed using the 2016 Pregnancy Risk Assessment Monitoring System (PRAMS) data. The participants were derived from a stratified random sample of 2,013 women living in Utah and Wyoming who recently had a live birth and who were surveyed on BFHI practices. The association between BFHI experiences and breastfeeding duration were assessed using crude and adjusted Poisson regression models, controlling for other BHFI experiences and maternal age, pre-pregnancy BMI, household income, smoking, alcohol, delivery method, and number of days spent in the hospital post delivery. RESULTS: 82.4% and 82.3% of women from Utah and Wyoming, respectively, reported breastfeeding for 2 months or longer. After controlling for other BFHI experiences and potential confounders, the one shared BFHI experience that was associated with breastfeeding for 2 months or longer vs less than 2 months was starting breastfeeding in the hospital (adjusted prevalence ratio [aPR]=1.49, 95% CI (1.12, 1.98) in Utah and aPR=2.03, 95% CI (1.13, 3.64) in Wyoming. Among women in Utah and Wyoming, only 5 of 7 BFHI steps were significant for breastfeeding duration in at least one state. CONCLUSION: There is substantial epidemiological support for health benefits to both mother and infant for exclusive breastfeeding to 6 months and prolonged breastfeeding until at least 1-year. Our findings suggest that women who initiate breastfeeding in the hospital may be more likely to breastfeed for a longer duration.