Echocardiographic Differences in Women Across Subtypes of Hypertensive Disorders of Pregnancy.

Background: Hypertensive disorders of pregnancy (HDP) can be classified into gestational hypertension, preeclampsia (PRE), and chronic hypertension with superimposed preeclampsia (SPE). Objectives: The purpose of this study was to retrospectively examine the echocardiographic differences in biventricular structure and function in 3 HDP groups of women in comparison to normotensive pregnant controls. Methods: Women with an echocardiogram during or within the first year of pregnancy were identified within our integrated health network. Exclusion criteria included age <18 years, diagnosis of pulmonary embolism, malignancy, autoimmune disease, and structural heart disease. Results: We identified a total of 706 subjects (cases: n = 427, normotensive controls: n = 279). Cases were divided into 3 groups: gestational hypertension (n = 57), PRE (n = 291), and SPE (n = 79). In adjusted analyses, echocardiographic parameters demonstrated a graded difference in left ventricular (LV) mass index, relative wall thickness, mitral inflow E, mitral inflow A, septal e', lateral e', E/e', left atrial volume index, tricuspid velocity, and lateral e' velocities with the most profound findings noted in the SPE group. Specifically, adjusted LV mass index (adjusted ß = 14.45, 95% CI: 9.00-19.90) and E/e' (adjusted ß = 2.97, 95% CI: 2.27-3.68) was highest in the SPE group in comparison to controls (P < 0.001). Conclusions: LV remodeling and diastolic filling abnormalities are more common in HDP and are most evident in SPE and PRE. Echocardiography during or immediately after pregnancy may be useful in these high-risk women to identify these abnormalities. The long-term implications of these echocardiographic abnormalities require further study.

Overview of the Alaskan Layered Pollution and Chemical Analysis (ALPACA) Field Experiment.

The Alaskan Layered Pollution And Chemical Analysis (ALPACA) field experiment was a collaborative study designed to improve understanding of pollution sources and chemical processes during winter (cold climate and low-photochemical activity), to investigate indoor pollution, and to study dispersion of pollution as affected by frequent temperature inversions. A number of the research goals were motivated by questions raised by residents of Fairbanks, Alaska, where the study was held. This paper describes the measurement strategies and the conditions encountered during the January and February 2022 field experiment, and reports early examples of how the measurements addressed research goals, particularly those of interest to the residents. Outdoor air measurements showed high concentrations of particulate matter and pollutant gases including volatile organic carbon species. During pollution events, low winds and extremely stable atmospheric conditions trapped pollution below 73 m, an extremely shallow vertical scale. Tethered-balloon-based measurements intercepted plumes aloft, which were associated with power plant point sources through transport modeling. Because cold climate residents spend much of their time indoors, the study included an indoor air quality component, where measurements were made inside and outside a house to study infiltration and indoor sources. In the absence of indoor activities such as cooking and/or heating with a pellet stove, indoor particulate matter concentrations were lower than outdoors; however, cooking and pellet stove burns often caused higher indoor particulate matter concentrations than outdoors. The mass-normalized particulate matter oxidative potential, a health-relevant property measured here by the reactivity with dithiothreiol, of indoor particles varied by source, with cooking particles having less oxidative potential per mass than pellet stove particles.

Association between diseases of despair and atherosclerotic cardiovascular disease among insured adults in the USA: a retrospective cohort study from 2017 to 2021.

OBJECTIVES: To assess associations between diseases of despair (DoD) and incident atherosclerotic cardiovascular disease (ASCVD) among insured adults in the USA. DESIGN: Retrospective cohort study. SETTING: Highmark insurance claims data in the USA from 2017 to 2021. PARTICIPANTS: Adults with at least 10 months of continuous insurance enrolment, no record of ASCVD in the 2016 baseline year and no missing data on study variables. PRIMARY AND SECONDARY OUTCOME MEASURES: Cox proportional hazard regression was used to calculate crude and adjusted hazard ratios (HR) and 95% confidence intervals (CI) to assess risk of ASCVD (composite of ischaemic cardiomyopathy, non-fatal ischaemic stroke, peripheral arterial disease or non-fatal acute myocardial infarction) by baseline DoD overall, and by the component conditions comprising DoD (alcohol-related disorders, substance-related disorders, suicidality) individually and in combination. RESULTS: The DoD-exposed group had an age-adjusted rate of 20.5 ASCVD events per 1000 person-years, compared with 11.7 among the unexposed. In adjusted models, overall DoD was associated with increased risk of incident ASCVD (HR 1.42, 95% CI 1.36 to 1.47). Individually and in combination, component conditions of DoD were associated with higher risk for ASCVD relative to no DoD. Substance-related disorders were associated with 50% higher risk of incident ASCVD (HR 1.5, 95% CI 1.41 to 1.59), alcohol-related disorders and suicidality/intentional self-harm were associated with 33% and 30% higher risk, respectively (HR 1.33, 95% CI 1.26 to 1.41; HR 1.30, 95% CI 1.11 to 1.52). Co-occurring DoD components conferred higher risk still. The highest risk combination was substance-related disorders+suicidality (HR 2.01, 95% CI 1.44 to 2.82). CONCLUSIONS: Among this cohort of insured adults, documented DoD was associated with increased ASCVD risk. Further research to understand and address cardiovascular disease prevention in those with DoD could reduce costs, morbidity and mortality. Further examination of overlapping structural factors that may be contributing to concurrent rises in ASCVD and DoD in the USA is needed.

A multicenter virome analysis of blood, feces, and saliva in myalgic encephalomyelitis/chronic fatigue syndrome.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is estimated to affect 0.4%-2.5% of the global population. Most cases are unexplained; however, some patients describe an antecedent viral infection or response to antiviral medications. We report here a multicenter study for the presence of viral nucleic acid in blood, feces, and saliva of patients with ME/CFS using polymerase chain reaction and high-throughput sequencing. We found no consistent group-specific differences other than a lower prevalence of anelloviruses in cases compared to healthy controls. Our findings suggest that future investigations into viral infections in ME/CFS should focus on adaptive immune responses rather than surveillance for viral gene products.

Temporal trends in cardiovascular outcomes and costs among patients with type 2 diabetes.

BACKGROUND: Type 2 diabetes (T2D) is a strong risk factor for cardiovascular (CV) disease. CV outcomes in T2D have generally been improving over time but recent data from the US suggest attenuation of trends in older adults with reversal of trends in younger adults. However, published data are only reported through 2015. OBJECTIVES: To quantify trends over time in CV outcomes from 2001 to 2018, and describe changes over time in health care costs in T2D. METHODS: This retrospective cohort study incorporated data from a regional health insurance plan. Study outcomes included acute myocardial infarction (AMI), ischemic stroke, hemorrhagic stroke, heart failure hospitalization (HFH), percutaneous coronary intervention, coronary artery bypass surgery, and all-cause mortality. Poisson regression estimated rate ratios across the entire 17-year study period (RR17). RESULTS: Among 79,392 T2D members tracked on average 4.1 years, overall trends in AMI (RR17 = 0.69; 95% CI: 0.64, 0.74), HFH (RR17 = 0.82; 0.79, 0.86), and all-cause mortality (RR17 = 0.87; 0.84, 0.91) improved while ischemic stroke (RR17 = 2.36; 2.16, 2.57) worsened. For AMI, HFH, and all-cause mortality, trends in older age groups were significantly better than in younger age groups (interaction P-values < .001). Health care costs related to pharmaceuticals (+15%/year) and emergency department (ED) visits (>15%/year) increased at faster rates than other utilization metrics (+10%/year). CONCLUSIONS: In T2D, overall trends in most CV outcomes improved but smaller improvements or worsening trends were observed in younger patients. Health care costs accelerated at faster rates for medications and ED visits.

Association between the diagnostic classification of newly diagnosed coronary artery disease and future heart failure development.

OBJECTIVE: The first clinical manifestation of coronary artery disease (CAD) varies widely from unheralded myocardial infarction (MI) to mild, incidentally detected disease. The primary objective of this study was to quantify the association between different initial CAD diagnostic classifications and future heart failure. METHODS: This retrospective study incorporated the electronic health record of a single integrated health care system. Newly diagnosed CAD was classified into a mutually exclusive hierarchy as MI, CAD with coronary artery bypass graft (CABG), CAD with percutaneous coronary intervention, CAD only, unstable angina, and stable angina. An acute CAD presentation was defined when the diagnosis was associated with a hospital admission. New heart failure was identified after the CAD diagnosis. RESULTS: Among 28 693 newly diagnosed CAD patients, initial presentation was acute in 47% and manifested as MI in 26%. Within 30 days of CAD diagnosis, MI [hazard ratio (HR) = 5.1; 95% confidence interval: 4.1-6.5] and unstable angina (3.2; 2.4-4.4) classifications were associated with the highest heart failure risk (compared to stable angina), as was acute presentation (2.9; 2.7-3.2). Among stable, heart failure-free CAD patients followed on average 7.4 years, initial MI (adjusted HR = 1.6; 1.4-1.7) and CAD with CABG (1.5; 1.2-1.8) were associated with higher long-term heart failure risk, but an initial acute presentation was not (1.0; 0.9-1.0). CONCLUSION: Nearly 50% of initial CAD diagnoses are associated with hospitalization, and these patients are at high risk of early heart failure. Among stable CAD patients, MI remained the diagnostic classification associated with the highest long-term heart failure risk, however, having an initial acute CAD presentation was not associated with long-term heart failure.

Implementation of a Biopsychosocial History and Physical Exam Template in the Electronic Health Record: Mixed Methods Study.

BACKGROUND: Patients' perspectives and social contexts are critical for prevention of hospital readmissions; however, neither is routinely assessed using the traditional history and physical (H&P) examination nor commonly documented in the electronic health record (EHR). The H&P 360 is a revised H&P template that integrates routine assessment of patient perspectives and goals, mental health, and an expanded social history (behavioral health, social support, living environment and resources, function). Although the H&P 360 has shown promise in increasing psychosocial documentation in focused teaching contexts, its uptake and impact in routine clinical settings are unknown. OBJECTIVE: The aim of this study was to assess the feasibility, acceptability, and impact on care planning of implementing an inpatient H&P 360 template in the EHR for use by fourth-year medical students. METHODS: A mixed methods study design was used. Fourth-year medical students on internal medicine subinternship (subI) services were given a brief training on the H&P 360 and access to EHR-based H&P 360 templates. Students not working in the intensive care unit (ICU) were asked to use the templates at least once per call cycle, whereas use by ICU students was elective. An EHR query was used to identify all H&P 360 and traditional H&P admission notes authored by non-ICU students at University of Chicago (UC) Medicine. Of these notes, all H&P 360 notes and a sample of traditional H&P notes were reviewed by two researchers for the presence of H&P 360 domains and impact on patient care. A postcourse survey was administered to query all students for their perspectives on the H&P 360. RESULTS: Of the 13 non-ICU subIs at UC Medicine, 6 (46%) used the H&P 360 templates at least once, which accounted for 14%-92% of their authored admission notes (median 56%). Content analysis was performed with 45 H&P 360 notes and 54 traditional H&P notes. Psychosocial documentation across all H&P 360 domains (patient perspectives and goals, mental health, expanded social history elements) was more common in H&P 360 compared with traditional notes. Related to impact on patient care, H&P 360 notes more commonly identified needs (20% H&P 360; 9% H&P) and described interdisciplinary coordination (78% H&P 360; 41% H&P). Of the 11 subIs completing surveys, the vast majority (n=10, 91%) felt the H&P 360 helped them understand patient goals and improved the patient-provider relationship. Most students (n=8, 73%) felt the H&P 360 took an appropriate amount of time. CONCLUSIONS: Students who applied the H&P 360 using templated notes in the EHR found it feasible and helpful. These students wrote notes reflecting enhanced assessment of goals and perspectives for patient-engaged care and contextual factors important to preventing rehospitalization. Reasons some students did not use the templated H&P 360 should be examined in future studies. Uptake may be enhanced through earlier and repeated exposure and greater engagement by residents and attendings. Larger-scale implementation studies can help further elucidate the complexities of implementing nonbiomedical information within EHRs.

Deficient butyrate-producing capacity in the gut microbiome is associated with bacterial network disturbances and fatigue symptoms in ME/CFS.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is characterized by unexplained debilitating fatigue, cognitive dysfunction, gastrointestinal disturbances, and orthostatic intolerance. Here, we report a multi-omic analysis of a geographically diverse cohort of 106 cases and 91 healthy controls that revealed differences in gut microbiome diversity, abundances, functional pathways, and interactions. Faecalibacterium prausnitzii and Eubacterium rectale, which are both recognized as abundant, health-promoting butyrate producers in the human gut, were reduced in ME/CFS. Functional metagenomics, qPCR, and metabolomics of fecal short-chain fatty acids confirmed a deficient microbial capacity for butyrate synthesis. Microbiome-based machine learning classifier models were robust to geographic variation and generalizable in a validation cohort. The abundance of Faecalibacterium prausnitzii was inversely associated with fatigue severity. These findings demonstrate the functional nature of gut dysbiosis and the underlying microbial network disturbance in ME/CFS, providing possible targets for disease classification and therapeutic trials.

A 7-Domain Framework That Can Bridge Clinical Care, Health Systems Science, and Health Equity: Lessons From the H&P 360.

The H&P 360 is a reconceptualized history and physical (H&P), which clinical medical students have reported reveals clinically relevant information not elicited by the traditional H&P, informs care planning, promotes interprofessional team care, and enhances patient rapport. In addition to the traditional checklist focused on patients' medical conditions, the H&P 360 includes prompts for gathering limited but critical information in 6 other domains directly relevant to patients' overall health-patient values, goals, and priorities; mental health; behavioral health; social support; living environment and resources; and function. Clinicians are thus reminded to elicit relevant information from each domain appropriate to the context of each clinical encounter. As health systems explore ways to identify and address social drivers of health, medical schools are rapidly expanding curricula beyond biomedical conditions, as reflected in the multifaceted health systems science curriculum. Many of today's medical students struggle to find connections among the core tasks of mastering biomedical clinical medicine, their evolving professional identity and career trajectory, and addressing systemic and societal barriers to population health. The authors argue that the 7-domain framework can serve as a conceptual bridge that links the care of individual patients with topics in the health systems science curriculum to promote health equity. The authors provide illustrative examples of the 7 domains as an organizing lens that can promote curiosity and understanding of seemingly disparate topics, such as interpersonal violence, social drivers of health, and structural racism, as well as help students expand and define their professional identities as physicians beyond diagnosis and treatment of biomedical conditions. The authors invite discussion and experimentation around the use of the 7-domain framework in teaching, assessment, and curriculum development and point to resources for clinical educators for teaching and measuring the effects of the H&P 360 on learners, preceptors, and patients.

Partitioning of reactive oxygen species from indoor surfaces to indoor aerosols.

Reactive oxygen species (ROS) are among the species thought to be responsible for the adverse health effects of particulate matter (PM) inhalation. Field studies suggest that indoor sources of ROS contribute to measured ROS on PM in indoor air. We hypothesize that ozone reacts on indoor surfaces to form semi-volatile ROS, in particular organic peroxides (OPX), which partition to airborne particles. To test this hypothesis, we modeled ozone-induced formation of OPX, its decay and its partitioning to PM in a residential building and compared the results to field measurements. Simulations indicate that, while ROS of outdoor origin is the primary contributor to indoor ROS (in PM), a substantial fraction of ROS present in indoor PM is from ozone-surface chemistry. At an air change rate equal to 1/h, and an outdoor ozone mixing ratio of 35 ppb, 25% of the ROS concentration in air is due to indoor formation and partitioning of OPX to PM. For the same conditions, but with a modest indoor source of PM (1.5 mg h-1), 44% of indoor ROS on PM is of indoor origin. An indoor source of ozone, such as an electrostatic air cleaner, also increases OPX present in indoor PM. The results of the simulations support the hypothesis that ozone-induced formation of OPX on indoor surfaces, and subsequent partitioning to aerosols, is sufficient to explain field observations. Therefore, indoor sourced ROS could contribute meaningfully to total inhaled PM-ROS.

Amine Volatilization from Herbicide Salts: Implications for Herbicide Formulations and Atmospheric Chemistry.

Amines are frequently included in formulations of the herbicides glyphosate, 2,4-D, and dicamba to increase herbicide solubility and reduce herbicide volatilization by producing herbicide-amine salts. Amines, which typically have higher vapor pressures than the corresponding herbicides, could potentially volatilize from these salts and enter the atmosphere, where they may impact atmospheric chemistry, human health, and climate. Amine volatilization from herbicide-amine salts may additionally contribute to volatilization of dicamba and 2,4-D. In this study, we established that amines applied in herbicide-amine salt formulations undergo extensive volatilization. Both dimethylamine and isopropylamine volatilized when aqueous salt solutions were dried to a residue at ∼20 °C, while lower-vapor pressure amines like diglycolamine and n,n-bis-(3-aminopropyl)methylamine did not. However, all four amines volatilized from salt residues at 40-80 °C. Because amine loss typically exceeded herbicide loss, we proposed that neutral amines dominated volatilization and that higher temperatures altered their protonation state and vapor pressure. Due to an estimated 4.0 Gg N/yr applied as amines to major U.S. crops, amine emissions from herbicide-amine salts may be important on regional scales. Further characterization of worldwide herbicide-amine use would enable this contribution to be compared to the 285 Gg N/yr of methylamines emitted globally.

Quantifying the climate benefits of a virtual versus an in-person format for an international conference.

BACKGROUND: Academic institutions across the globe routinely sponsor large conferences. During the COVID-19 pandemic, many conferences have used all- or partially virtual formats. The conversion of the 2021 Consortium of Universities for Global Health (CUGH) conference, originally planned in-person for Houston, TX USA to an all-virtual format provided an opportunity to quantify the climate-related impacts of in-person versus virtual conferences. METHODS: From the 2021 CUGH conference registration data, we determined each registrant's distance from Houston. Using widely available, open-source formulas, we calculated the carbon footprint of each registrant's round-trip drive or flight had they traveled to Houston. We assumed that registrants traveling more than 300 miles would have flown, with the remainder traveling by automobile. RESULTS: Of 1909 registrants, 1447 would have traveled less than 4000 miles, and 389 would have traveled more than 10,000 miles round trip. Total travel-related carbon emissions were estimated at 2436 metric tons of CO2, equivalent to the conservation of 2994 acres of forest for a year. CONCLUSIONS: Organizations can now readily quantify the climate cost of annual conferences. CUGH's annual international conference, when held in-person, contributes significantly to carbon emissions. With its focus on promoting global health equity, CUGH may play a lead role in understanding the pros and cons for planetary health of in-person versus virtual conferences. CUGH and other organizations could routinely measure and publish the climate costs of their annual conferences.

Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations.

Cardiovascular disease surveillance involves quantifying the evolving population-level burden of cardiovascular outcomes and risk factors as a data-driven initial step followed by the implementation of interventional strategies designed to alleviate this burden in the target population. Despite widespread acknowledgement of its potential value, a national surveillance system dedicated specifically to cardiovascular disease does not currently exist in the United States. Routinely collected health care data such as from electronic health records (EHRs) are a possible means of achieving national surveillance. Accordingly, this article elaborates on some key strengths and limitations of using EHR data for establishing a national cardiovascular disease surveillance system. Key strengths discussed include the: (1) ubiquity of EHRs and consequent ability to create a more "national" surveillance system, (2) existence of a common data infrastructure underlying the health care enterprise with respect to data domains and the nomenclature by which these data are expressed, (3) longitudinal length and detail that define EHR data when individuals repeatedly patronize a health care organization, and (4) breadth of outcomes capable of being surveilled with EHRs. Key limitations discussed include the: (1) incomplete ascertainment of health information related to health care-seeking behavior and the disconnect of health care data generated at separate health care organizations, (2) suspect data quality resulting from the default information-gathering processes within the clinical enterprise, (3) questionable ability to surveil patients through EHRs in the absence of documented interactions, and (4) the challenge in interpreting temporal trends in health metrics, which can be obscured by changing clinical and administrative processes.

Changes over time in the cardiovascular risk profile of type 2 diabetes from 2007 to 2020: A community-based study.

AIMS: To quantify changes over time in cardiovascular (CV) risk factor control and in the uptake of glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 (SGLT2) inhibitors from 2007 to 2020 in a real-world community-based cohort of type 2 diabetes (T2D) patients. MATERIALS AND METHODS: This study identified 95 461 T2D patients, who were followed for an average of 6.4 years through a single healthcare organization's electronic health record. The primary outcome was global risk factor control according to four factors ("ABCS"): glycated haemoglobin (HbA1c [<8%]); Blood pressure (systolic/diastolic <140/90 mmHg); Cholesterol (non-HDL cholesterol <130 mg/dL); and Smoking (not). Concomitant presence of microvascular complications and commonly used medication classes were tracked. RESULTS: According to the ABCS metric, global risk factor control did not appreciably change over time; in 2020, 40.9% (95% confidence interval 40.2, 41.5) of patients had all four factors controlled. Among individual components, HbA1c control (<8%) worsened over time from 84% in 2007 to 78% in 2020, while lipid control (non-HDL cholesterol <130 mg/dL) improved from 59% to 72%. Coexisting microvascular complications were more prevalent over time; for example, neuropathy prevalence increased from 21% (2007) to 35% (2020). Use of thiazolidinediones and sulphonylureas decreased over time while metformin, insulin, dipeptidyl peptidase-4 inhibitor, GLP-1RA and SGLT2 inhibitor use increased. In 2020, GLP-1RAs and SGLT2 inhibitors were each used by 13% of T2D patients. CONCLUSIONS: In this community-based study, global CV risk factor control in T2D did not improve, although glycaemic control worsened and lipid control improved. Given increased uptake of GLP-1RAs and SGLT2 inhibitors, the collective effect of these changes on CV outcomes warrants evaluation.

Tailoring complex care to patients' needs: myths, realities, and best next steps.

The authors of this editorial highlight some of the myths surrounding complex care management, identify areas where research could be most informative, and recommend best next steps in developing effective and efficient complex care management programs.

Air Quality Monitoring During High-Level Biocontainment Ground Transport: Observations From Two Operational Exercises.

OBJECTIVE: Stretcher transport isolators provide mobile, high-level biocontainment outside the hospital for patients with highly infectious diseases, such as Ebola virus disease. Air quality within this confined space may pose human health risks. METHODS: Ambient air temperature, relative humidity, and CO2 concentration were monitored within an isolator during 2 operational exercises with healthy volunteers, including a ground transport exercise of approximately 257 miles. In addition, failure of the blower unit providing ambient air to the isolator was simulated. A simple compartmental model was developed to predict CO2 and H2O concentrations within the isolator. RESULTS: In both exercises, CO2 and H2O concentrations were elevated inside the isolator, reaching steady-state values of 4434 ± 1013 ppm CO2 and 22 ± 2 mbar H2O in the first exercise and 3038 ± 269 ppm CO2 and 20 ± 1 mbar H2O in the second exercise. When blower failure was simulated, CO2 concentration exceeded 10 000 ppm within 8 minutes. A simple compartmental model predicted CO2 and H2O concentrations by accounting for human emissions and blower air exchange. CONCLUSIONS: Attention to air quality within stretcher transport isolators (including adequate ventilation to prevent accumulation of CO2 and other bioeffluents) is needed to optimize patient safety.

Constructing Epidemiologic Cohorts from Electronic Health Record Data.

In the United States, electronic health records (EHR) are increasingly being incorporated into healthcare organizations to document patient health and services rendered. EHRs serve as a vast repository of demographic, diagnostic, procedural, therapeutic, and laboratory test data generated during the routine provision of health care. The appeal of using EHR data for epidemiologic research is clear: EHRs generate large datasets on real-world patient populations in an easily retrievable form permitting the cost-efficient execution of epidemiologic studies on a wide array of topics. Constructing epidemiologic cohorts from EHR data involves as a defining feature the development of data machinery, which transforms raw EHR data into an epidemiologic dataset from which appropriate inference can be drawn. Though data machinery includes many features, the current report focuses on three aspects of machinery development of high salience to EHR-based epidemiology: (1) selecting study participants; (2) defining "baseline" and assembly of baseline characteristics; and (3) follow-up for future outcomes. For each, the defining features and unique challenges with respect to EHR-based epidemiology are discussed. An ongoing example illustrates key points. EHR-based epidemiology will become more prominent as EHR data sources continue to proliferate. Epidemiologists must continue to improve the methods of EHR-based epidemiology given the relevance of EHRs in today's healthcare ecosystem.

Burden and Predictors of Chest Pain-Related Health-Care Utilization Following Percutaneous Coronary Intervention.

Chest pain (CP) has been reported in 20% to 40% of patients 1 year after percutaneous coronary intervention (PCI), though rates of post-PCI health-care utilization (HCU) for CP in nonclinical trial populations are unknown. Furthermore, the contribution of noncardiac factors - such as pulmonary, gastrointestinal, and psychological - to post-PCI CP HCU is unclear. Accordingly, the objectives of this study were to describe long-term trajectories and identify predictors of post-PCI CP-related HCU in real-world patients undergoing PCI for any indication. This retrospective cohort study included patients receiving PCI for any indication from 2003 to 2017 through a single integrated health-care system. Post-PCI CP-related HCU tracked through electronic medical records included (1) office visits, (2) emergency department (ED) visits, and (3) hospital admissions with CP or angina as the primary diagnosis. The strongest predictors of CP-related HCU were identified from >100 candidate variables. Among 6386 patients followed an average of 6.7 years after PCI, 73% received PCI for acute coronary syndrome (ACS), 19% for stable angina, and 8% for other indications. Post-PCI CP-related HCU was common with 26%, 16%, and 5% of patients having ≥1 office visits, ED visits, and hospital admissions for CP within 2 years of PCI. The following factors were significant predictors of all 3 CP outcomes: ACS presentation, documented CP >7 days prior to the index PCI, anxiety, depression, and syncope. In conclusion, CP-related HCU following PCI was common, especially within the first 2 years. The strongest predictors of CP-related HCU included coronary disease attributes and psychological factors.

Herbicide Drift from Genetically Engineered Herbicide-Tolerant Crops.

In recent years, off-target herbicide drift has been increasingly reported to lead to damage to nontarget vegetation in the U.S. These reports have coincided with the widespread adoption of genetically modified crops with new herbicide-tolerance traits. Planting crops with these traits may indirectly lead to increased drift both by increasing the use of the corresponding herbicides and by facilitating their use as postemergence herbicides later in the season. While extensive efforts have aimed to reduce herbicide drift, critical uncertainties remain regarding the physiochemical phenomena that drive the entry of herbicides into the atmosphere as well as the atmospheric processes that may influence short- and long-range transport. Resolving these uncertainties will support the development of effective approaches to reduce herbicide drift.