Housing instability patterns among low-income, urban Black young adults in California and associations with mental health outcomes: baseline data from a randomized waitlist-controlled trial.

BACKGROUND: Deep-rooted racial residential segregation and housing discrimination have given rise to housing disparities among low-income Black young adults in the US. Most studies have focused on single dimensions of housing instability, and thus provide a partial view of how Black young adults experience multiple, and perhaps overlapping, experiences of housing instability including homelessness, frequent moves, unaffordability, or evictions. We aimed to illuminate the multiple forms of housing instability that Black young adults contend with and examine relationships between housing instability and mental health outcomes. METHODS: Using baseline data from the Black Economic Equity Movement (BEEM) guaranteed income trial with 300 urban low-income Black young adults (aged 18-24), we conducted a three-stage latent class analysis using nine housing instability indicators. We identified distinct patterns by using fit indices and theory to determine the optimal number of latent classes. We then used multinomial logistic regression to identify subpopulations disproportionately represented within unstable housing patterns. Finally, we estimated associations between housing experience patterns and mental health outcomes: depression, anxiety, and hope. RESULTS: We found high prevalence of housing instability with 27.3% of participants reporting experiences of homelessness in the prior year and 39.0% of participants reporting multiple measures of housing instability. We found the 4-class solution to be the best fitting model for the data based on fit indices and theory. Latent classes were characterized as four housing experience patterns: 1) more stably housed, 2) unaffordable and overcrowded housing, 3) mainly unhoused, and 4) multiple dimensions of housing instability. Those experiencing unaffordable and overcrowded housing and being mainly unhoused were more than four times as likely to have symptoms of depression (Unaffordable: aOR = 4.57, 95% CI: 1.64, 12.72; Unhoused: aOR = 4.67, 95% CI:1.18, 18.48) and more than twice as likely to report anxiety (Unaffordable: aOR = 2.28, 95% CI: 1.03, 5.04; Unhoused: aOR = 3.36, 95% CI: 1.12, 10.05) compared to the more stably housed pattern. We found that hope scores were similarly high across patterns. CONCLUSIONS: High prevalence of housing instability and mental health challenges among low-income Black young adults demands tailored interventions to reduce instability, given widening racial disparities and implications for future well-being into adulthood.

Deep learning models map rapid plant species changes from citizen science and remote sensing data.

Anthropogenic habitat destruction and climate change are reshaping the geographic distribution of plants worldwide. However, we are still unable to map species shifts at high spatial, temporal, and taxonomic resolution. Here, we develop a deep learning model trained using remote sensing images from California paired with half a million citizen science observations that can map the distribution of over 2,000 plant species. Our model-Deepbiosphere-not only outperforms many common species distribution modeling approaches (AUC 0.95 vs. 0.88) but can map species at up to a few meters resolution and finely delineate plant communities with high accuracy, including the pristine and clear-cut forests of Redwood National Park. These fine-scale predictions can further be used to map the intensity of habitat fragmentation and sharp ecosystem transitions across human-altered landscapes. In addition, from frequent collections of remote sensing data, Deepbiosphere can detect the rapid effects of severe wildfire on plant community composition across a 2-y time period. These findings demonstrate that integrating public earth observations and citizen science with deep learning can pave the way toward automated systems for monitoring biodiversity change in real-time worldwide.

Epidural Analgesia During Labor and Neonatal Hypoxic-Ischemic Encephalopathy.

Importance: Epidural analgesia is used by approximately 70% of birthing persons in the US to alleviate labor pain and is a common cause of elevated temperature in the birthing parent during labor, which, in turn, is associated with adverse neonatal outcomes such as hypoxic-ischemic encephalopathy (HIE). Objective: To determine whether epidural analgesia is associated with increased risk of HIE after adjusting for the birthing person's maximal temperature before epidural placement and for the propensity to get an epidural. Design, Setting, and Participants: This retrospective, population-based cohort study was conducted at 15 Kaiser Permanente Northern California hospitals. Participants included singleton neonates born at 35 weeks' or later gestational age between 2012 and 2019. Elective cesarean deliveries and deliveries within 2 hours of hospital admission were excluded. Data analysis was performed from November 2022 to June 2024. Exposure: The primary exposure was epidural analgesia during labor. Main Outcomes and Measures: The primary outcome was HIE, defined as the presence of both neonatal acidosis (ie, pH <7 or base deficit ≥10) and encephalopathy. The presence and timing of epidural analgesia and demographic, pregnancy, and labor characteristics were extracted from electronic medical records. A propensity score for receiving epidural analgesia was created including demographic variables and comorbidities predating epidural placement. Logistic regression was used to evaluate the association between epidural analgesia and HIE, adjusting for maximal birthing parent's temperature before epidural placement and the propensity for receiving an epidural. Results: Among 233 056 infants born at 35 weeks' or later gestational age by vaginal or unplanned cesarean delivery after at least 2 hours of in-hospital labor, 177 603 (76%) were exposed to epidural analgesia and 439 (0.19%) had HIE. On unadjusted analysis, epidural analgesia was associated with an increased risk of maximal temperature greater than 38 °C during labor (risk ratio [RR], 8.58; 95% CI, 8.06-9.14). Each degree increase in maximal temperature during labor was associated with nearly triple the odds of HIE (odds ratio [OR], 2.82; 95% CI, 2.51-3.17). However, there was no significant association between epidural analgesia and the risk of HIE either on crude (RR, 1.21; 95% CI, 0.96-1.53) or adjusted (adjusted OR, 0.93; 95% CI, 0.73-1.17) analyses. Conclusions and Relevance: In this cohort study including more than 230 000 parent-infant dyads, epidural analgesia was associated with increased maximal temperature during labor, a known risk factor for HIE. However, epidural analgesia was not associated with increased odds of HIE.

A machine-learning prediction model to identify risk of firearm injury using electronic health records data.

IMPORTANCE: Firearm injuries constitute a public health crisis. At the healthcare encounter level, they are, however, rare events. OBJECTIVE: To develop a predictive model to identify healthcare encounters of adult patients at increased risk of firearm injury to target screening and prevention efforts. MATERIALS AND METHODS: Electronic health records data from Kaiser Permanente Southern California (KPSC) were used to identify healthcare encounters of patients with fatal and non-fatal firearm injuries, as well as healthcare visits of a sample of matched controls during 2010-2018. More than 170 predictors, including diagnoses, healthcare utilization, and neighborhood characteristics were identified. Extreme gradient boosting (XGBoost) and a split sample design were used to train and test a model that predicted risk of firearm injury within the next 3 years at the encounter level. RESULTS: A total of 3879 firearm injuries were identified among 5 288 529 KPSC adult members. Prevalence at the healthcare encounter level was 0.01%. The 15 most important predictors included demographics, healthcare utilization, and neighborhood-level socio-economic factors. The sensitivity and specificity of the final model were 0.83 and 0.56, respectively. A very high-risk group (top 1% of predicted risk) yielded a positive predictive value of 0.14% and sensitivity of 13%. This high-risk group potentially reduces screening burden by a factor of 11.7, compared to universal screening. Results for alternative probability cutoffs are presented. DISCUSSION: Our model can support more targeted screening in healthcare settings, resulting in improved efficiency of firearm injury risk assessment and prevention efforts.

A Mixed Methods Evaluation of Pharmacists' Readiness to Provide Long-Acting Injectable HIV Pre-exposure Prophylaxis in California.

BACKGROUND: Pre-exposure prophylaxis (PrEP) uptake remains low among people who could benefit, some of whom may prefer alternatives to oral PrEP, such as long-acting injectable pre-exposure prophylaxis (LAI-PrEP). We evaluated the potential for LAI-PrEP provision in pharmacies through a mixed methods study of pharmacists in California, where Senate Bill 159 enables pharmacists to independently provide oral PrEP. METHODS: In 2022-2023, we conducted an online cross-sectional survey of California pharmacists and pharmacy students (n = 919) and in-depth interviews with pharmacists (n = 30), both of which included modules assessing attitudes about PrEP provision. Using log-binomial regression, we estimated prevalence ratios (PRs) comparing survey participants' willingness to provide LAI-PrEP by pharmacy- and individual-level characteristics. Qualitative interview data were analyzed using Rapid Qualitative Analysis to identify factors that may affect pharmacists' provision of LAI-PrEP. RESULTS: Half of the survey participants (53%) indicated that they would be willing to administer LAI-PrEP using gluteal injection in their pharmacy. Willingness was higher among participants who worked in pharmacies that provided vaccinations or other injections (56% vs. 46%; PR: 1.2; 95% confidence interval: 1.0-1.4) and/or oral PrEP under Senate Bill 159 (65% vs. 51%; PR: 1.3; 95% confidence interval: 1.1-1.5) than among participants whose pharmacies did not. Interviewed participants reported barriers to LAI-PrEP provision, including the need for increased training and staffing, a private room for gluteal injections, better medication access, and payment for services. CONCLUSION: Pharmacies offer a promising setting for increased LAI-PrEP access. However, pharmacists may require additional training, resources, and policy changes to make implementation feasible.

Risk of Gastric and Small Intestinal Cancer in Patients With Lynch Syndrome: Data From a Large, Community-Based US Population.

INTRODUCTION: Risk of gastric and small intestinal cancer in Lynch syndrome (LS) remains poorly understood. We investigated the risk of gastric and small intestinal cancer in patients with LS in a large, community-based population. METHODS: This retrospective cohort study included all patients diagnosed with LS between January 1, 1997, and December 31, 2020, at Kaiser Permanente Northern California. Cumulative incidence of gastric cancer and small intestinal cancer was calculated using competing risk methodology. RESULTS: Among 1,106 patients with LS with a median follow-up of 19.3 years (interquartile range [IQR] 9.4-24.0 years), 11 developed gastric cancer (8 MSH2 , 2 MLH1 and 1 PMS2 ) with a median diagnosis age of 56 years (IQR 42-63 years) and 11 developed small intestinal cancer (6 MSH2 , 3 MLH1 , 1 MSH6 and 1 PMS2 ) with a median diagnosis age of 57 years (IQR 50-66 years). Cumulative incidence by age 80 years was 7.26% (95% confidence internal [CI], 1.80-18.03%) for men and 3.43% (95% CI, 0.50-11.71%) for women for gastric cancer and 7.28% (95% CI, 3.19-13.63%) for men and 2.21% (95% CI, 0.23-9.19%) for women for small intestinal cancer. Pathogenic variant carriers of MSH2 and MLH1 had the highest risk of gastric and small intestinal cancer. History of Helicobacter pylori infection was associated with increased risk of gastric cancer (adjusted odds ratio 5.52; 95% CI, 1.72-17.75). DISCUSSION: Patients with LS, particularly MSH2 and MLH1 pathogenic variant carriers, had significantly increased lifetime risk of gastric and small intestinal cancer. Testing and treatment of H. pylori infection should be considered for all patients with LS.

Does Marijuana Smoking Increase the Odds of Surgical Site Infection After Orthopaedic Surgery? A Retrospective Cohort Study.

OBJECTIVES: Does marijuana smoking increase the risk of surgical site infection (SSI) after open reduction and internal fixation of fractures? DESIGN: Retrospective. SETTING: Single academic level 1 trauma center in Southern California. PATIENT SELECTION CRITERIA: Adult patients who underwent open treatment for closed fractures between January 2009 and December 2021, had hardware placed, and had at least 6 months of postoperative follow-up. OUTCOME MEASURES AND COMPARISONS: Risk factors associated with the development of SSI were compared between current inhalational marijuana users and nonmarijuana users. RESULTS: Complete data were available on 4802 patients after exclusion of 82 who did not have a complete variable set. At the time of surgery, 24% (1133 patients) were current users of marijuana. At the final follow-up (minimum 6 months), there was a 1.6% infection rate (75 patients). The average age of the infection-free group was 46.1 ± 23.1 years, and the average age of the SSI group was 47.0 ± 20.3 (P = 0.73) years. In total, 2703 patients (57%) in the infection-free group were male compared with 48 (64%) in the SSI group (P = 0.49). On multivariate analysis, longer operative times (OR 1.002 [95% CI, 1.001-1.004]), diabetic status (OR 2.084 [95% CI, 1.225-3.547]), and current tobacco use (OR 2.493 [95% CI, 1.514-4.106]) (P < 0.01 for all) were associated with an increased risk of SSI; however, current marijuana use was not (OR 0.678 [95% CI, 0.228-2.013], P = 0.48). CONCLUSIONS: Tobacco use, diabetes, and longer operative times were associated with the development of SSI after open reduction and internal fixation of fractures; however, marijuana smoking was not shown to be associated with the development of SSI. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Drowning Among Children 1-4 Years of Age in California, 2017-2021.

Background and Objectives: Drowning, the leading cause of unintentional injury death among California children less than five years of age, averaged 49 annual fatalities for the years 2010-2021. The California Pool Safety Act aims to reduce fatalities by requiring safety measures around residential pools. This study was designed to analyze annual fatality rates and drowning incidents in California among children 1-4 years of age from 2017-2021. Methods: We identified fatalities, injury hospitalizations, and emergency department (ED) visits from California state vital statistics death data and state hospital and ED discharge data using the EpiCenter California Injury Data Online website. Results: Over the five-year study period, 4,166 drowning incidents were identified: 234 were fatalities, 846 were hospitalizations, and 3,086 were ED visits. The observed difference in fatality rates from 2017 to 2021 failed to achieve statistical significance (P = 0.88). Location-based analysis of the 234 fatal drowning incidents revealed that pools were the most common injury site, accounting for 65% of the cases. Conclusion: Drowning remains the leading cause of unintentional, injury-related death among California children 1-4 years of age, as the annual rate of fatality over the five-year study period did not decline. While the EpiCenter California Injury Data Online website is excellent for analyzing annual rates of drowning incidents among California residents over time, it is limited in providing insight into modifiable risk factors and event circumstances that can further inform prevention. The development of robust integrated fatal and non-fatal local, state, and national systematic data collection systems could aid in moving the needle in decreasing pool fatalities among young children.

Historical Redlining, Contemporary Gentrification, and Severe Maternal Morbidity in California, 2005-2018.

Importance: Historically redlined neighborhoods may experience disinvestment, influencing their likelihood of gentrification, a process of neighborhood (re-)development that unequally distributes harms and benefits by race and class. Understanding the combined outcomes of redlining and gentrification informs how the mutually constitutive systems of structural racism and racial capitalism affect pregnancy outcomes. Objective: To examine if historical redlining and contemporary gentrification is associated with increased severe maternal morbidity (SMM) odds. Design, Setting, and Participants: This cross-sectional study used data from a statewide population-based sample of all live hospital births at 20 weeks' gestation or more between 2005 and 2018 in California. Analysis was conducted from March 2023 to January 2024. Exposure: Redlining (as characterized by the federal Home Owners' Loan Corporation mortgage security maps) and displacement (using present-day sociodemographic and housing market information). Main Outcomes and Measures: Mixed-effects logistic regression models were used to assess the association of census tract-level exposure to historical redlining and contemporary gentrification with increased SMM odds, adjusting for sociodemographic and pregnancy related factors. Outcome classification was based on the Centers for Disease Control and Prevention SMM index, which defines SMM as having any of the 21 procedures and diagnoses based on the International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Results: The study sample included 1 554 837 births (median [SD] maternal age, 29.0 [6.4] years; 3464 American Indian or Alaskan Native [0.2%], 224 774 Asian [14.5%], 132 240 Black [8.5%], 880 104 Hispanic [56.6%], 312 490 White [20.1%]), with 22 993 cases of SMM (1.4%). Residents in historically redlined neighborhoods that were undergoing gentrification or displacement were more likely to be Black, Hispanic, and American Indian or Alaskan Native. Independent of individual-level characteristics, SMM odds were greater for individuals living in redlined neighborhoods that experienced displacement (OR, 1.21; 95% CI, 1.14-1.28) and in redlined neighborhoods undergoing gentrification (OR, 1.21; 95% CI, 1.13-1.29) compared with those in continuously advantaged neighborhoods. Conclusions and Relevance: Findings from this cross-sectional study demonstrate that the legacies of redlining, intertwined with current dynamics of displacement and gentrification, affect SMM. Place-based sociopolitical mechanisms that inequitably distribute resources may be important intervention points to address structural drivers of adverse pregnancy outcomes and their racial inequities.

Outcomes by Race and Ethnicity Following a Medicare Bundled Payment Program for Joint Replacement.

Importance: The Comprehensive Care for Joint Replacement (CJR) model, a traditional Medicare bundled payment program for lower-extremity joint replacement, is associated with care for patients outside traditional Medicare. Whether CJR model outcomes have differed by patient race or ethnicity outside of traditional Medicare is unclear. Objective: To evaluate outcomes associated with the CJR model among Hispanic patients not enrolled in traditional Medicare. Design, Setting, and Participants: This cohort study used hospitalization data from California's Patient Discharge Dataset for all patients who underwent lower-extremity joint replacement in California between January 1, 2014, and December 31, 2017. In California, 3 metropolitan statistical areas (MSAs) were randomly selected to participate in CJR in April 2016. Hospitals not participating in other Medicare Alternative Payment Models were included in the treated group if they were in these 3 MSAs and in the control group if they were in the remaining 23 MSAs. The data analysis was performed between October 1 and December 31, 2023. Exposure: Comprehensive Care for Joint Replacement program implementation. Main Outcomes and Measures: The main outcomes were hospital length of stay and home discharge rates by race and ethnicity. Home discharge status included self-care, the use of home health services, and hospice care at home. Event study, difference-in-differences, and triple differences models were used to estimate differential changes in health care service use by race and ethnicity for patients in the treated MSAs compared with the control MSAs before vs after CJR implementation. Results: Of 309 834 hospitalizations (patient mean [SD] age, 68.3 [11.3] years; 60.6% women; 14.8% Hispanic; 72.4% non-Hispanic White), 48.0% were in treated MSAs and 52.0% in control MSAs. The CJR program was associated with an increase in home discharge rates for patients without traditional Medicare coverage; however, the increase differed by patient race and ethnicity. The increase was 0.05 (95% CI, 0.02-0.08) percentage points higher for Hispanic patients with Medicare Advantage and 0.03 (95% CI, 0.01-0.04) percentage points higher for Hispanic patients without Medicare compared with their non-Hispanic White counterparts. Conclusions and Relevance: This cohort study shows that CJR program outcomes differed by race and ethnicity for patients covered outside traditional Medicare, with home discharge rates increasing more for Hispanic compared with non-Hispanic White patients. These findings suggest the importance of considering differential outcomes of Medicare payment policies for racial and ethnic minority patient populations beyond the initially targeted groups.

Bacterial diversity of cantaloupes and soil from Arizona and California commercial fields at the point of harvest.

Across the United States, melons are a high demand crop reaching a net production of 2.7 million tons in 2020 with an economic value of $915 million dollars. The goal of this study was to characterize the bacterial diversity of cantaloupe rinds and soil from commercial melon fields at the point of harvest from two major production regions, Arizona, and California. Cantaloupes and composite soil samples were collected from three different commercial production fields, including Imperial Valley, CA, Central Valley, CA, and Yuma Valley, AZ, at the point of harvest over a three-month period, and 16S rRNA gene amplicon sequencing was used to assess bacterial diversity and community structure. The Shannon Diversity Index showed higher diversity among soil compared to the cantaloupe rind regardless of the sampling location. Regional diversity of soil differed significantly, whereas there was no difference in diversity on cantaloupe surfaces. Bray-Curtis Principal Coordinate Analysis (PCoA) dissimilarity distance matrix found the samples clustered by soil and melon individually, and then clustered tighter by region for the soil samples compared to the cantaloupe samples. Taxonomic analysis found total families among the regions to be 52 for the soil samples and 12 among cantaloupes from all three locations, but composition and abundance did vary between the three locations. Core microbiome analysis identified two taxa shared among soil and cantaloupe which were Bacillaceae and Micrococcaceae. This study lays the foundation for characterizing the cantaloupe microbiome at the point of harvest that provides the cantaloupe industry with those bacterial families that are potentially present entering post-harvest processing, which could assist in improving cantaloupe safety, shelf-life, cantaloupe quality and other critical aspects of cantaloupe post-harvest practices.

Risk and Protective Factors for Preterm Birth Among Racial, Ethnic, and Socioeconomic Groups in California.

Importance: Preterm birth (PTB) (gestational age <37 weeks) is a major cause of infant mortality and morbidity in the US and is marked by racial and ethnic and socioeconomic inequities. Further research is needed to elucidate the association of risk and protective factors with trends in PTB rates and with related inequities. Objective: To describe the association of PTB rates with inequities as well as related risk and protective factors over the past decade in a US population-based cohort. Design, Setting, and Participants: This retrospective cohort study of singleton live births in California from January 1, 2011, to December 31, 2022, was conducted using vital statistics records and hospital records. The cohort included births with a gestational age of 22 to 44 weeks. Main Outcomes and Measures: Preterm birth rates by racial and ethnic group and by public and nonpublic insurance (considered as a proxy for socioeconomic status) were studied across years. Log-linear regression (relative risks with 95% CIs) was used to evaluate risk and protective factors within groups. Associations of PTB rates with risk and protective factors were assessed. Results: This study included 5 431 018 singleton live births to individuals who identified as American Indian or Alaska Native (0.3%), Asian (14.2%), Black (4.9%), Hispanic (47.8%), or White (27.0%). A total of 43.1% of births were to individuals with public health insurance. From 2011 to 2022, the overall PTB rate increased from 6.8% to 7.5% (change [SE], 10.6% [0.6%]; z score of 18.5; P < .001). Differences in PTB rates and associated changes were observed for racial and ethnic groups and insurance groups. For example, 2022 PTB rates ranged from 5.8% among White individuals with nonpublic insurance to 11.3% among Black individuals with public health insurance. From 2011 to 2022, PTB rates decreased from 9.1% to 8.8% (change [SE], -3.5% [4.2]; z score of -0.8; P = .42) among Black individuals with nonpublic insurance, whereas they increased from 6.4% to 9.5% (change [SE], 49.8% [16.0%]; z score of 3.1; P = .002) among American Indian or Alaska Native individuals with nonpublic insurance. Increases in some risk factors (eg, preexisting diabetes, sexually transmitted infections, mental health conditions) were observed in most groups, and decreases in some protective factors (eg, participation in the California Women, Infants, and Children program) (P for trend < .001 from 2011 to 2021) were observed mostly in low-income groups. Conclusions and Relevance: In this cohort study of singleton live births in California, PTB rates increased in many groups. Persistent racial and ethnic and socioeconomic inequities were also observed. Changes in risk and protective factors provided clues to patterns of PTB. These data point to an urgent need to address factors associated with PTB at both the individual and population levels.

Social Risks and Health Care Use in Medically Complex Patients.

Importance: Integrated health care systems have initiated major investments to identify and address social risks, particularly for patients with multiple medical conditions. Objective: To evaluate the association of social risks with health care use among patients with complex multimorbidity. Design, Setting, and Participants: This longitudinal cohort study assessed Kaiser Permanente Northern California (KPNC) patients with (1) moderate medical complexity (defined by high comorbidity score, high risk of hospitalization, and/or prior emergency department [ED] admissions) and (2) high medical complexity (eg, meeting additional criteria, such as ≥7 medications and laboratory evidence of poor disease control). Exposure: Social risks (eg, requiring medical financial assistance and self-reported social barriers to care). Main Outcomes and Measures: Inpatient and outpatient health care use during 12 months of follow-up (January 15, 2023, to January 14, 2024). Results: The sample included 97 252 KPNC patients (mean [SD] age, 69.5 [16] years; 52.1% female; 10.6% Asian, 11.1% Black, 18.3% Hispanic, 54.6% White, and 5.5% other race or ethnicity [eg, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, multiracial, or unknown race]; and 8.8% insured by Medicaid), including 27 827 with moderate medical complexity (5074 [18.2%] with social risks) and 69 425 with high medical complexity (17 343 [25.0%] with social risks). In fully adjusted models, for moderate medical complexity, social risks were associated with higher odds of inpatient admissions (odds ratio [OR], 1.2; 95% CI, 1.1-1.4), ED visits (OR, 1.2; 95% CI, 1.1-1.3), and mental health visits (OR, 1.2; 95% CI, 1.1-1.3) vs individuals without social risks. Among individuals with high medical complexity, social risks were associated with higher odds of inpatient admissions (OR, 1.2; 95% CI, 1.1-1.2), ED visits (OR, 1.2; 95% CI, 1.1-1.2), and 30-day readmissions (OR, 1.2; 95% CI, 1.1-1.3) and higher odds of mental health visits (OR, 1.3; 95% CI, 1.2-1.3) vs individuals without social risks. Conclusions and relevance: In this cohort study of individuals with medical complexity, coexisting social risks were associated with substantial downstream health care use. Efforts to reduce use in individuals with complex medical comorbidity could include concurrent efforts to identify and reduce social risks.

"We Need to Know These Things": Use Cases for Combined Social and Clinical Data Among Primary Care-Based Clinical and Social Care Providers.

INTRODUCTION/OBJECTIVES: Primary care organizations are increasingly collecting data on patients' social risks, bringing forth an unprecedented opportunity to present combined health and social data that clinical and social care providers could leverage to improve patient care and outcomes. Little is known, however, about how these data could be used and what combinations of specific data elements are most helpful. We explored how primary care staff who provide clinical or social care services view potential benefits of and use cases for combined patient-level clinical and social data. METHODS: We conducted qualitative interviews or focus groups with 39 social and clinical care providers representing 6 healthcare organizations in San Diego County, California. Interviews were transcribed and analyzed using a deductive thematic analysis approach. RESULTS: Overall, both clinical and social care providers noted the value of access to both types of data. Participants highlighted 3 benefits from integrating social and clinical data. The data could: (1) offer providers a more holistic view of patients' circumstances; (2) strengthen their ability to tailor care to patients' medical and social conditions concurrently; and (3) enhance coordination across care team members. Interviewees cited specific examples of ways social and clinical data could be paired to improve care. CONCLUSIONS: Social and clinical care providers alike envisioned multiple uses and benefits of accessing combined individual-level clinical and social data, highlighting the potential for practice and policy innovations to facilitate access and uptake of combined data. Future research should focus on ways to increase accessibility of cross-sector data and evaluate the impact of care informed by combined data on patient social and health outcomes.

Molecular forecasting of domoic acid during a pervasive toxic diatom bloom.

In 2015, the largest recorded harmful algal bloom (HAB) occurred in the Northeast Pacific, causing nearly 100 million dollars in damages to fisheries and killing many protected marine mammals. Dominated by the toxic diatom Pseudo-nitzschia australis, this bloom produced high levels of the neurotoxin domoic acid (DA). Through molecular and transcriptional characterization of 52 near-weekly phytoplankton net-tow samples collected at a bloom hotspot in Monterey Bay, California, we identified active transcription of known DA biosynthesis (dab) genes from the three identified toxigenic species, including P. australis as the primary origin of toxicity. Elevated expression of silicon transporters (sit1) during the bloom supports the previously hypothesized role of dissolved silica (Si) exhaustion in contributing to bloom physiology and toxicity. We find that coexpression of the dabA and sit1 genes serves as a robust predictor of DA one week in advance, potentially enabling the forecasting of DA-producing HABs. We additionally present evidence that low levels of iron could have colimited the diatom population along with low Si. Iron limitation represents an overlooked driver of both toxin production and ecological success of the low-iron-adapted Pseudo-nitzschia genus during the 2015 bloom, and increasing pervasiveness of iron limitation may fuel the escalating magnitude and frequency of toxic Pseudo-nitzschia blooms globally. Our results advance understanding of bloom physiology underlying toxin production, bloom prediction, and the impact of global change on toxic blooms.

Impact of COVID-19 on myalgic encephalomyelitis/chronic fatigue syndrome-like illness prevalence: A cross-sectional survey.

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) can be triggered by infectious agents including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the impact of the coronavirus disease 2019 (COVID-19) pandemic on ME/CFS prevalence is not well characterized. METHODS: In this population-based cross-sectional study, we enrolled a stratified random sample of 9,825 adult participants in the Kaiser Permanente Northern California (KPNC) integrated health system from July to October 2022 to assess overall ME/CFS-like illness prevalence and the proportion that were identified following COVID-19 illness. We used medical record and survey data to estimate the prevalence of ME/CFS-like illness based on self-reported symptoms congruent with the 2015 Institute of Medicine ME/CFS criteria. History of COVID-19 was based on a positive SARS-CoV-2 nucleic acid amplification test or ICD-10 diagnosis code in the medical record, or self-report of prior COVID-19 on a survey. RESULTS: Of 2,745,374 adults in the eligible population, an estimated 45,892 (95% confidence interval [CI]: 32,869, 58,914) or 1.67% (CI 1.20%, 2.15%) had ME/CFS-like illness. Among those with ME/CFS-like illness, an estimated 14.12% (CI 3.64%, 24.6%) developed the illness after COVID-19. Among persons who had COVID-19, those with ME/CFS-like illness after COVID-19 were more likely to be unvaccinated and to have had COVID-19 before June 1, 2021. All persons with ME/CFS-like illness had significant impairment in physical, mental, emotional, social, and occupational functioning compared to persons without ME/CFS-like illness. CONCLUSIONS: In a large, integrated health system, 1.67% of adults had ME/CFS-like illness and 14.12% of all persons with ME/CFS-like illness developed it after COVID-19. Though COVID-19 did not substantially increase ME/CFS-like illness in the KPNC population during the study time period, ME/CFS-like illness nevertheless affects a notable portion of this population and is consistent with estimates of ME/CFS prevalence in other populations. Additional attention is needed to improve awareness, diagnosis, and treatment of ME/CFS.

Novel evidence that elk were historically native to the Sierra Nevada, and recent range expansions into the region.

Elk (Cervus canadensis) have been considered non-native to the Sierra Nevada mountain range of California and Nevada. However, elk have steadily increased their range southward from the Cascade Range into the northern Sierra Nevada over the last century. Recent reports also reveal Rocky Mountain elk moving northwards into the southern Sierra Nevada. Dispersals of lone bull elk from 2019-2022 have occurred to the central Sierra Nevada south of Lake Tahoe. These recent range expansions of elk herds and long-distance dispersals of individual elk raised questions about the possible historical presence of elk throughout this mountain range. Herein we conducted a broad investigation into historical newspaper accounts and other early explorer and naturalist observer records, museum specimens, Late Holocene zooarchaeological records, and indirect evidence including toponomastic references and Native American ethnographic and ethnolinguistic information. Taken in total, a variety of data sources suggest elk inhabited portions of the Sierra Nevada and the adjacent northwest Great Basin from the Late Holocene through historical times. Positive records were not numerous, suggesting that historically elk were not abundant, and nearly extirpated during the California Fur Rush of the early nineteenth century.

Predictors of Pediatric Asthma Management: Identifying Actionable Results With Geographic Determinants.

BACKGROUND: Pediatric asthma remains one of the most prominent chronic health conditions among US youth. Geographic determinants such as air pollutants have been identified as playing a role in asthma development and exacerbation. The purpose of this study was to determine geospatial predictors of pediatric asthma exacerbation events and to prioritize housing remediation resources. METHODS: Electronic medical records were abstracted from a health plan in Southern California. The inclusion criteria that created a sample of 51 557 members were those aged 21 years and younger, who had at least 1 asthma-related encounter between January 2019 and December 2021. Diagnoses, age, number of clinic and emergency department visits, and home addresses were included. The air quality index from the closest monitoring station during the study period, residential distance from a primary roadway, and residential distance from manufacturing sites were included in the spatial analysis. RESULTS: The average number of asthma-related clinic visits was 2 across the sample. Individuals with more asthma-related clinic visits residing in public housing were more likely to live within 4 km of industrial manufacturing locations ( P < .001), reside closer to a major roadway ( P < .001), and experience a higher number of poor air quality days ( P < .001). Modeling results show these factors were also significantly predictive of an increase of asthma-related health care encounters. CONCLUSIONS: The findings of this study were consistent with previous studies linking asthma and poor air quality and further highlighted some of the additive and potentially exponential challenges that public housing, major roadways, and manufacturing sites provide communities in their proximity. This research can guide environmental interventions, including the frequency of public housing inspections, community outreach, and the development of communication strategies, to reduce asthma-related experiences across neighborhoods.

Life course financial mobility and later-life memory function and decline by gender, and race and ethnicity: an intersectional analysis of the US KHANDLE and STAR cohort studies.

BACKGROUND: Intersectionality has rarely been considered in research studies of cognitive ageing. We investigated whether life-course financial mobility is differentially associated with later-life memory function and decline across intersectional identities defined by gender, and race and ethnicity. METHODS: Data were from two harmonised multiethnic cohorts (the Kaiser Healthy Aging and Diverse Life Experiences cohort and the Study of Healthy Aging in African Americans cohort) in northern California, USA (n=2340). Life-course financial mobility, measured using a combination of self-reported financial capital measures in childhood (from birth to age 16 years) and later adulthood (at the cohort baseline) was defined as consistently high, upwardly mobile, downwardly mobile, or consistently low. We clustered individuals into 32 strata representing intersectional identities defined by life-course financial mobility combined with gender, and race and ethnicity. Verbal episodic memory was assessed using the Spanish and English Neuropsychological Assessment Scales over four waves from 2017 to 2023. Adjusted mixed-effects linear regression models were estimated with and without fixed effects of gender, race and ethnicity, and financial mobility, to evaluate whether the random effects of the intersectional identity strata contributed variance to memory beyond individual fixed effects. FINDINGS: Mean age was 73·6 years (SD 8·1). Of 2340 individuals, 1460 (62·4%) were women, 880 (37·6%) were men, 388 (16·6%) were Asian, 1136 (48·5%) were Black, 334 (14·3%) were Latinx, and 482 (20·6%) were White. Consistently low and downwardly mobile financial capital were strongly negatively associated with later-life memory at baseline (-0·162 SD units [95% CI -0·273 to -0·051] for consistently low and -0·171 [-0·250 to -0·092] for downwardly mobile), but not rate of change over time. Intersectional identities contributed 0·2% of memory variance after accounting for the fixed effects of gender, race and ethnicity, and financial mobility. INTERPRETATION: Consistently low and downward life-course financial mobility are associated with lower later-life memory function. Intersectional identities defined by financial mobility in addition to gender, and race and ethnicity, contribute negligible additional variance to later-life memory in this study setting. FUNDING: US National Institute on Aging, US National Institutes of Health.

Bone lead measurements of live condors in field to assess cumulative lead exposure.

Lead poisoning remains the leading cause of diagnosed death for critically endangered California condors, which are annually monitored for lead exposure via blood tests. Blood tests are generally reflective of acute lead exposure. Since condors are victims to both chronic and acute lead exposure, measuring bone, which in humans is reflective of years to decades worth of exposure, is a valuable biomarker. In this study, we measured bone Pb of the tibiotarsus of 64 condors in vivo using a portable x-ray fluorescence device. The average uncertainty for measurements, typically reflective of how effective the device performed, was found to be 3.8 ± 2.2 µg/g bone mineral. The average bone lead level was found to be 26.7 ± 24.5 µg/g bone mineral. Bone lead correlated significantly with a sum of all blood lead measures over the lifetime of each condor. In the future, bone lead can potentially be used to inform treatment planning and address the chronic health implications of lead in the species.