BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs) have been linked to adverse birth outcomes that have been reported to be induced by oxidative stress, but few epidemiological studies to date have evaluated associations between urinary PAH metabolites and oxidative stress biomarkers in pregnancy and identified critical periods for these outcomes and PAH exposures in pregnancy.
METHODS: A cohort of pregnant women was recruited early in pregnancy from antenatal clinics at the University of California Los Angeles during 2016-2019. We collected urine samples up to three times during pregnancy in a total of 159 women enrolled in the cohort. A total of 7 PAH metabolites and 2 oxidative stress biomarkers [malondialdehyde (MDA), 8-hydroxy-2\'-deoxyguanosine (8-OHdG)] were measured in all available urine samples. Using multiple linear regression models, we estimated the percentage change (%) and 95% confidence interval (CI) in 8-OHdG and MDA measured at each sample collection time per doubling of PAH metabolite concentrations. Furthermore, we used linear mixed models with a random intercept for participant to estimate the associations between PAH metabolite and oxidative stress biomarker concentrations across multiple time points in pregnancy.
RESULTS: Most PAH metabolites were positively associated with both urinary oxidative stress biomarkers, MDA and 8-OHdG, with stronger associations in early and late pregnancy. A doubling of each urinary PAH metabolite concentration increased MDA concentrations by 5.8-41.1% and 8-OHdG concentrations by 13.8-49.7%. Linear mixed model results were consistent with those from linear regression models for each gestational sampling period.
CONCLUSIONS: Urinary PAH metabolites are associated with increases in oxidative stress biomarkers during pregnancy, especially in early and late pregnancy.

Concentrations of pathogen genomes measured in wastewater have recently become available as a new data source to use when modeling the spread of infectious diseases. One promising use for this data source is inference of the effective reproduction number, the average number of individuals a newly infected person will infect. We propose a model where new infections arrive according to a time-varying immigration rate which can be interpreted as an average number of secondary infections produced by one infectious individual per unit time. This model allows us to estimate the effective reproduction number from concentrations of pathogen genomes, while avoiding difficulty to verify assumptions about the dynamics of the susceptible population. As a byproduct of our primary goal, we also produce a new model for estimating the effective reproduction number from case data using the same framework. We test this modeling framework in an agent-based simulation study with a realistic data generating mechanism which accounts for the time-varying dynamics of pathogen shedding. Finally, we apply our new model to estimating the effective reproduction number of SARS-CoV-2, the causative agent of COVID-19, in Los Angeles, CA, using pathogen RNA concentrations collected from a large wastewater treatment facility.

Objectives. To identify sociodemographic shifts among unsheltered Latino people experiencing homelessness (PEH) between 2020-2022. Methods. We examined differences in characteristics reported in demographic surveys for Latino PEH older than 25 years from 2020 (n = 1215) and 2022 (n = 1395) in Los Angeles County, California, using weighted bivariate χ2 tests. Results. From 2020 to 2022, there was a 25% increase in the number of unsheltered Latino individuals. The share of Latino PEH who were unemployed increased (57% to 67%). The increase in homelessness occurred largely among individuals living in vehicles (14% to 33%), rather than in tents or on sidewalks. Latino PEH were significantly less likely to report mental illness (24% vs 18%) and had higher rates of first entry into homelessness in the past 2 years than non-Latino respondents. Conclusions. Our results are consistent with the effects of increasing socioeconomic vulnerability, likely related to COVID-19, in driving the increase in Latino PEH. Policy Implications. The rise in homelessness among economically vulnerable yet healthy Latinos suggests a need to bolster social safety nets and increase homelessness prevention programs. (Am J Public Health. 2024;114(S6):S510-S514. https://doi.org/10.2105/AJPH.2024.307717) [Formula: see text].

BACKGROUND: Vulnerable populations across the United States are frequently exposed to extreme heat, which is becoming more intense due to a combination of climate change and urban-induced warming. Extreme heat can be particularly detrimental to the health and well-being of older citizens when it is combined with ozone. Although population-based studies have demonstrated associations between ozone, extreme heat, and human health, few studies focused on the role of social and behavioral factors that increase indoor risk and exposure among older adults.
METHODS: We conducted a household survey that aimed to understand how older adults are affected by extreme heat and ozone pollution inside and outside of their homes across Houston, Phoenix, and Los Angeles. We examine contributing factors to the risk of self-reported health effects using a generalized linear mixed-effects regression model of telephone survey data of 909 older adults in 2017.
RESULTS: We found an increased occurrence of self-reported symptoms for extreme heat with preexisting respiratory health conditions and a lack of air conditioning access; self-reported ozone symptoms were more likely with preexisting respiratory health conditions. The risk of heat-related symptoms was slightly higher in Los Angeles than Houston and Phoenix. We found several demographic, housing, and behavioral characteristics that influenced the risk of heat- and ozone-related symptoms.
CONCLUSIONS: The increased risk among older adults based on specific social and behavioral factors identified in this study can inform public health policy and help cities tailor their heat and ozone response plans to the specific needs of this vulnerable population.

OBJECTIVE: Early intervention services can improve outcomes for children with developmental delays. Health care providers, however, often struggle to ensure timely referrals and services. We tested the effectiveness of telephone-based early childhood developmental care coordination through 211 LA, a health and human services call center serving Los Angeles County, in increasing referral and enrollment in services.
METHODS: In partnership with 4 clinic systems, we recruited and randomly assigned children aged 12 to 42 months with upcoming well-child visits and without a known developmental delay, to intervention versus usual care. All children received developmental screening and usual clinic care. Intervention children also received telephone connection to a 211 LA early childhood care coordinator who made referrals and conducted follow-up. Primary outcomes at a 6-month follow-up included parent-reported referral and enrollment in developmental services. Secondary outcomes included referral and enrollment in early care and education (ECE). Logistic regression models were used to estimate the odds of outcomes, adjusted for key covariates.
RESULTS: Of 565 families (282 intervention, 283 control), 512 (90.6%) provided follow-up data. Among all participants, more intervention than control children were referred to (25% vs 16%, adjusted odds ratio [AOR] 2.25, P = .003) and enrolled in (15% vs 9%, AOR 2.35, P = .008) ≥1 service, and more intervention than control children were referred to (58% vs 15%, AOR 9.06, P < .001) and enrolled in (26% vs 10%, AOR 3.75, P < .001) ECE.
CONCLUSIONS: Telephone-based care coordination through 211 LA is effective in connecting young children to developmental services and ECE, offering a potentially scalable solution for gaps and disparities.

Treating patients with uncontrolled hypertension is a powerful intervention for reducing the risk of heart attack and stroke. Leveraging health information technology to identify patients with undiagnosed hypertension using algorithmic logic can be an effective approach for reaching hypertensive patients who may otherwise be overlooked. Despite evidence that this strategy can support favorable cardiovascular health outcomes in the safety-net healthcare setting, little is known about its implementation outside of targeted practice and research environments. In 2021-2022, Community Clinic Association of Los Angeles County and the Los Angeles County Department of Public Health collaborated on a mixed methods, organizational assessment of community health centers to better understand their practices and attitudes toward the use of algorithmic logic to identify patients with undiagnosed hypertension. Results from the assessment suggest that awareness and use of this approach are limited; numerous challenges are associated with its adoption and implementation.

OBJECTIVE: The aim of this study was to a) explore barriers and facilitators associated with medication-taking habit formation, and b) elicit feedback on the components of an intervention designed to help form strong habits for long-term medication adherence.
METHODS: The study design was qualitative; we conducted semistructured interviews between September 2021 and February 2022.
METHODS: The interviews were conducted online, with 27 participants recruited at the Cedars-Sinai Medical Center in Los Angeles, California.
METHODS: A purposive sample of 20 patients who were over 18 years of age, had been diagnosed with hypertensive disorder (or reported high blood pressure; >140/90 mm Hg) and who were prescribed antihypertensive therapy at the time of recruitment, along with seven providers were interviewed.
RESULTS: Contextual factors included frequent changes to prescription for regimen adjustment, and polypharmacy. Forgetfulness, perceived need for medication, and routine disruptions were identified as possible barriers to habit formation. Facilitators of habit formation included identification of stable routines for anchoring, planning, use of external reminders (including visual reminders) and pillboxes for prescription management, and extrinsic motivation for forming habits. Interestingly, experiencing medication side effects was identified as a possible barrier and a possible facilitator of habit formation. Feedback on study components included increasing text size, and visual appeal of the habit leaflet; and imparting variation in text message content and adjusting their frequency to once a day. Patients generally favoured the use of conditional financial incentives to support habit formation.
CONCLUSIONS: The study sheds light on some key considerations concerning the contextual factors for habit formation among people with hypertension. As such, future studies may evaluate the generalisability of our findings, consider the role of visual reminders in habit formation and sustenance, and explore possible disruptions to habits.
BACKGROUND: NCT04029883.

To this date, COVID-19 remains an unresolved pandemic, and the impairment of redox homeostasis dictates the severity of clinical outcomes. Here we examined initial UCLA cohort of 440 COVID-19 patients hospitalized between March 1st and April 1st, 2020, representing the first wave of the pandemic. The mean age was 58.88 ± 21.12, among which males were significantly more than females (55.5 % vs. 44.5 %), most distinctively in age group of 50-69. The age groups of 50-69 (33.6 %) and ≥70 (34.8 %) dominated. The racial composition was in general agreement with Census data with slight under-representation of Hispanics and Asians, and over-representation of Caucasians. Smoking was a significant factor (28.8 % vs. 11.0 % in LA population), likewise for obesity (BMI ≥30) (37.4 % vs. 27.7 % in LA population). Patients suffering from obesity or BMI<18.5 checked into ICU at a significantly higher rate. A 74.5 % of the patients had comorbidities including diabetes, chronic kidney disease, chronic pulmonary disease, congestive heart failure and peripheral vascular disease. The levels of d-dimer were drastically upregulated (1159.5 ng/mL), indicating hypercoagulative state. Upregulated LDH (328 IU/L) indicated significant tissue damages. A distorted redox hemeostasis is a common trait associated with these risk factors and clinical markers. A quarter of the patients received antivirals, among which Remdesivir most prescribed (23.6 %). Majority received antithrombotics (75 %), and antibiotics. Upon admission, 67 patients were intubated or received CPR; 177 patients eventually received intensive care (40.2 %). While 290 were discharged alive, 10 remained hospitalized, 73 were transferred, and 36 died with 3 palliatively discharged. In summary, our data fully characterized a Californian cohort of COVID-19 at the breaking phase of the pandemic, indicating that population demographics, biophysical characters, comorbidities and molecular pathological parameters have significant impacts on the evolvement of a pandemic. These provide critical insights into effective management of COVID-19, and future break from another pathogen.

OBJECTIVE: This study examines the association between changes in mental health before and during the COVID-19 pandemic and COVID-19 mortality across geographic areas and by race/ethnicity.
METHODS: A cross-sectional survey was conducted in Los Angeles County between April and May 2021. The study used the Patient Health Questionnaire-2 to assess major depression risk. Participants\' home ZIP codes were classified into low, middle, and high COVID-19 mortality impacted areas (CMIA).
RESULTS: While there were existing mental health disparities due to differences in demographics and social determinants of health across CMIA in 2018, the pandemic exacerbated the disparities, especially for residents living in high CMIA. Non-White residents in high CMIA reported the largest deterioration in mental health. Differences in mental health by CMIA persisted after controlling for resident characteristics.
CONCLUSIONS: Living in an area with higher COVID-19 mortality rates may have been associated with worse mental health, with Non-White residents reporting worse mental health outcomes in the high mortality area.
CONCLUSIONS: It is crucial to advocate for greater mental health resources in high COVID-19 mortality areas especially for racial/ethnic minorities.

BACKGROUND: Kaiser-Permanente Los Angeles Medical Center (LAMC) is a 560 licensed bed facility that provides regional cardiovascular services, including 1200 open heart surgeries annually. In 2021, LAMC explored alternative therapies to offset the impact of pandemic-driven cryo AHF shortages, and implemented Pathogen Reduced Cryoprecipitated Fibrinogen Complex (also known as INTERCEPT Fibrinogen Complex or IFC). IFC is approved to treat and control bleeding associated with fibrinogen deficiency. Unlike cryo AHF, IFC has 5-day post-thaw shelf life with potential operational and clinical benefits. The implementation steps and the operational advantages to the LAMC Blood Bank are described.
METHODS: Eighteen months post-implementation, the institution reviewed their product implementation experience and compared IFC with cryo AHF with a retrospective review of transfusion service and cardiac post-op data.
RESULTS: IFC significantly decreased product wastage rates and order-to-issue time. It did not significantly impact post-op product utilization or hospital length of stay (LOS) in cardiac surgery patients when compared with cryo AHF.
CONCLUSIONS: Implementation of IFC provides improved product supply stability, shorter turnaround times, and reduced wastage.