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The article focuses on the application of wearable digital health technologies in cardiovascular medicine, presenting a clinical vignette illustrating remote monitoring in the care of a patient with cardiovascular disease. Topics include the utilization of a remote patient monitoring program, the role of wearable devices in managing hypertension and atrial fibrillation, and the potential benefits of continuous monitoring for disease progression and treatment adjustments.

Background The prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection. Methods This was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms. Results Among 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months. Conclusions We identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized. Clinical Trials Registration.  NCT04610515. [ABSTRACT FROM AUTHOR]

Background Long-term symptoms following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are a major concern, yet their prevalence is poorly understood. Methods We conducted a prospective cohort study comparing adults with SARS-CoV-2 infection (coronavirus disease-positive [COVID+]) with adults who tested negative (COVID−), enrolled within 28 days of a Food and Drug Administration (FDA)-approved SARS-CoV-2 test result for active symptoms. Sociodemographic characteristics, symptoms of SARS-CoV-2 infection (assessed with the Centers for Disease Control and Prevention [CDC] Person Under Investigation Symptom List), and symptoms of post-infectious syndromes (ie, fatigue, sleep quality, muscle/joint pains, unrefreshing sleep, and dizziness/fainting, assessed with CDC Short Symptom Screener for myalgic encephalomyelitis/chronic fatigue syndrome) were assessed at baseline and 3 months via electronic surveys sent via text or email. Results Among the first 1000 participants, 722 were COVID+ and 278 were COVID−. Mean age was 41.5 (SD 15.2); 66.3% were female, 13.4% were Black, and 15.3% were Hispanic. At baseline, SARS-CoV-2 symptoms were more common in the COVID+ group than the COVID− group. At 3 months, SARS-CoV-2 symptoms declined in both groups, although were more prevalent in the COVID+ group: upper respiratory symptoms/head/eyes/ears/nose/throat (HEENT; 37.3% vs 20.9%), constitutional (28.8% vs 19.4%), musculoskeletal (19.5% vs 14.7%), pulmonary (17.6% vs 12.2%), cardiovascular (10.0% vs 7.2%), and gastrointestinal (8.7% vs 8.3%); only 50.2% and 73.3% reported no symptoms at all. Symptoms of post-infectious syndromes were similarly prevalent among the COVID+ and COVID− groups at 3 months. Conclusions Approximately half of COVID+ participants, as compared with one-quarter of COVID− participants, had at least 1 SARS-CoV-2 symptom at 3 months, highlighting the need for future work to distinguish long COVID. Clinical Trials Registration NCT04610515. [ABSTRACT FROM AUTHOR]

Background: The environment in which a patient lives influences their health outcomes. However, the degree to which community factors are associated with readmissions is uncertain. Objective: To estimate the influence of community factors on the Centers for Medicare & Medicaid Services risk-standardized hospital-wide readmission measure (HWR)–a quality performance measure in the U.S. Research design: We assessed 71 community variables in 6 domains related to health outcomes: clinical care; health behaviors; social and economic factors; the physical environment; demographics; and social capital. Subjects: Medicare fee-for-service patients eligible for the HWR measure between July 2014-June 2015 (n = 6,790,723). Patients were linked to community variables using their 5-digit zip code of residence. Methods: We used a random forest algorithm to rank variables for their importance in predicting HWR scores. Variables were entered into 6 domain-specific multivariable regression models in order of decreasing importance. Variables with P-values <0.10 were retained for a final model, after eliminating any that were collinear. Results: Among 71 community variables, 19 were retained in the 6 domain models and in the final model. Domains which explained the most to least variance in HWR were: physical environment (R2 = 15%); clinical care (R2 = 12%); demographics (R2 = 11%); social and economic environment (R2 = 7%); health behaviors (R2 = 9%); and social capital (R2 = 8%). In the final model, the 19 variables explained more than a quarter of the variance in readmission rates (R2 = 27%). Conclusions: Readmissions for a wide range of clinical conditions are influenced by factors relating to the communities in which patients reside. These findings can be used to target efforts to keep patients out of the hospital. [ABSTRACT FROM AUTHOR]

Background: Nurse practitioners care for patients with cardiovascular disease, particularly those from racial and ethnic minority groups, and can help assure equitable health outcomes. Yet, nurse practitioners practice in challenging care environments, which limits their ability to care for patients. Objective: To determine whether primary care nurse practitioner care environments are associated with racial and ethnic disparities in hospitalizations among older adults with coronary heart disease. Design: In this observational study, a cross-sectional survey was conducted among primary care nurse practitioners in 2018–2019 who completed a valid measure of care environment. The data was merged with 2018 Medicare claims data for patients with coronary heart disease. Participants: A total of 1244 primary care nurse practitioners and 180,216 Medicare beneficiaries 65 and older with coronary heart disease were included. Main Measures: All-cause and ambulatory care sensitive condition hospitalizations in 2018. Key Results: There were 50,233 hospitalizations, 9068 for ambulatory care sensitive conditions. About 28% of patients had at least one hospitalization. Hospitalizations varied by race, being highest among Black patients (33.5%). Care environment moderated the relationship between race (Black versus White) and hospitalization (OR 0.93; 95% CI, 0.88–0.98). The lowest care environment was associated with greater hospitalization among Black (odds ratio=1.34; 95% CI, 1.20–1.49) compared to White beneficiaries. Practices with the highest care environment had no racial differences in hospitalizations. There was no interaction effect between care environment and race for ambulatory care sensitive condition hospitalizations. Nurse practitioner care environment had a protective effect on these hospitalizations (OR, 0.96; 95% CI, 0.92–0.99) for all beneficiaries. Conclusions: Unfavorable care environments were associated with higher hospitalization rates among Black than among White beneficiaries with coronary heart disease. Racial disparities in hospitalization rates were not detected in practices with high-quality care environments, suggesting that improving nurse practitioner care environments could reduce racial disparities in hospitalizations. [ABSTRACT FROM AUTHOR]

Background: Little is known about the factors that influence physicians' admission decisions, especially among lower acuity patients. For the purpose of our study, non-medical refers to all of the factors-other than the patient's clinical condition-that could potentially influence admission decisions.Objective: To describe the influence of non-medical factors on physicians' decisions to admit non-critically ill patients presenting to the ED.Design: Cross-sectional study of hospital admissions at a single academic medical center.Participants: Non-critically ill adult patients admitted to the hospital (n = 297) and the admitting emergency medicine physicians (n = 34).Main Measures: A patient survey assessed non-medical factors, including primary care access and utilization. A physician survey assessed clinical and non-medical factors influencing the decision to admit. Based on physician responses, admissions were characterized as "strongly acuity-driven," "moderately acuity-driven," or "weakly acuity-driven." Among these admission types, we compared length of stay, cost, and readmission within 30 days to the hospital or ED.Key Results: Based on the admitting physician's assessment, we categorized the motivation for admission as strongly acuity-driven in 185 (62 %) admissions, moderately acuity-driven in 92 (31 %), and weakly acuity-driven in 20 (7 %). Per the physician surveys, 51 % of hospitalizations were strongly or moderately influenced by one or more non-medical factors, including lack of information about baseline conditions (23 %); inadequate access to outpatient specialty care (14 %); need for a diagnostic testing or procedure (12 %); a recent ED visit (11 %); and inadequate access to primary care (10 %). Compared with strongly-acuity driven admissions, admissions that were moderately or weakly acuity-driven were shorter and less costly but were associated with similar rates of ED (35 %) and hospital (27 %) readmission.Conclusions: Non-medical factors are influential in the admission decisions for many patients presenting to the emergency department. Moderately and weakly acuity-driven admissions may represent a feasible target for alternative care pathways. [ABSTRACT FROM AUTHOR]

Objectives To evaluate home health agency quality performance. Design Observational study. Setting Home health agencies. Participants All Medicare-certified agencies with at least 6 months of data from 2011 to 2015. Measurements Twenty-two quality indicators, five patient survey indicators, and their composite scores. Results The study included 11,462 Medicare-certified home health agencies that served 92.4% of all ZIP codes nationwide, accounting for 315.2 million people. The mean composite scores were 409.1 ± 22.7 out of 500 with the patient survey indicators and 492.3 ± 21.7 out of 600 without the patient survey indicators. Home health agency performance on 27 quality indicators varied, with the coefficients of dispersion ranging from 4.9 to 62.8. Categorization of agencies into performance quartiles revealed that 3,179 (27.7%) were in the low-performing group (below 25th percentile) at least one time during the period from 2011-12 to 2014-15 and that 493 were in the low-performing group throughout the study period. Geographic variation in agency performance was observed. Agencies with longer Medicare-certified years were more likely to have high-performing scores; agencies providing partial services, with proprietary ownership, and those with long travel distances to reach patients had lower performance. Agencies serving low-income counties and counties with lower proportions of women and senior residences and greater proportions of Hispanic residents were more likely to attain lower performance scores. Conclusion Home health agency performance on several quality indicators varied, and many agencies were persistently in the lowest quartile of performance. Still, there is a need to improve the quality of care of all agencies. Many parts of the United States, particularly lower-income areas and areas with more Hispanic residents, are more likely to receive lower quality home health care. [ABSTRACT FROM AUTHOR]

Geographic disparities in life expectancy are substantial and not fully explained by differences in race and socioeconomic status. To develop policies that address these inequalities, it is essential to identify other factors that account for this variation. In this study we investigated whether population well-being--a comprehensive measure of physical, mental, and social health--helps explain geographic variation in life expectancy. At the county level, we found that for every 1-standard-deviation (4.2-point) increase in the well-being score, life expectancy was 1.9 years higher for females and 2.6 years higher for males. Life expectancy and well-being remained positively associated, even after race, poverty, and education were controlled for. In addition, well-being partially mediated the established associations of race, poverty, and education with life expectancy. These findings highlight well-being as an important metric of a population's health and longevity and as a promising focus for intervention. [ABSTRACT FROM AUTHOR]

An editorial is presented on the impact of financial uncertainty on individuals health. Topics discussed include poverty as the cause of hypertension, diabetes mellitus, obesity, heart attacks, and strokes; income volatility and other financial hardships occur may modify the impact on cardiovascular outcomes; and role of health delivery systems that affects person's health and well-being and the effect on health insurance and access to healthcare services.

Background: In the past 2 decades, hypertension control in the US population has not improved and there are widening disparities. Little is known about progress in reducing hospitalizations for acute hypertension.Methods: We conducted serial cross-sectional analysis of Medicare fee-for-service beneficiaries age 65 years or older between 1999 and 2019 using Medicare denominator and inpatient files. We evaluated trends in national hospitalization rates for acute hypertension overall and by demographic and geographical subgroups. We identified all beneficiaries admitted with a primary discharge diagnosis of acute hypertension on the basis of International Classification of Diseases codes. We then used a mixed effects model with a Poisson link function and state-specific random intercepts, adjusting for age, sex, race and ethnicity, and dual-eligible status, to evaluate trends in hospitalizations.Results: The sample consisted of 397 238 individual Medicare fee-for-service beneficiaries. From 1999 through 2019, the annual hospitalization rates for acute hypertension increased significantly, from 51.5 to 125.9 per 100 000 beneficiary-years; the absolute increase was most pronounced among the following subgroups: adults ≥85 years (66.8-274.1), females (64.9-160.1), Black people (144.4-369.5), and Medicare/Medicaid insured (dual-eligible, 93.1-270.0). Across all subgroups, Black adults had the highest hospitalization rate in 2019, and there was a significant increase in the differences in hospitalizations between Black and White people from 1999 to 2019. Marked geographic variation was also present, with the highest hospitalization rates in the South. Among patients hospitalized for acute hypertension, the observed 30-day and 90-day all-cause mortality rates (95% CI) decreased from 2.6% (2.27-2.83) and 5.6% (5.18-5.99) to 1.7% (1.53-1.80) and 3.7% (3.45-3.84) and 30-day and 90-day all-cause readmission rates decreased from 15.7% (15.1-16.4) and 29.4% (28.6-30.2) to 11.8% (11.5-12.1) and 24.0% (23.5-24.6).Conclusions: Among Medicare fee-for-service beneficiaries age 65 years or older, hospitalization rates for acute hypertension increased substantially and significantly from 1999 to 2019. Black adults had the highest hospitalization rate in 2019 across age, sex, race and ethnicity, and dual-eligible strata. There was significant national variation, with the highest rates generally in the South. [ABSTRACT FROM AUTHOR]

Background: Current classification schemes for acute myocardial infarction (AMI) may not accommodate the breadth of clinical phenotypes in young women.Methods and Results: We developed a novel taxonomy among young adults (≤55 years) with AMI enrolled in the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study. We first classified a subset of patients (n=600) according to the Third Universal Definition of MI using a structured abstraction tool. There was heterogeneity within type 2 AMI, and 54 patients (9%; including 51 of 412 women) were unclassified. Using an inductive approach, we iteratively grouped patients with shared clinical characteristics, with the aims of developing a more inclusive taxonomy that could distinguish unique clinical phenotypes. The final VIRGO taxonomy classified 2802 study participants as follows: class 1, plaque-mediated culprit lesion (82.5% of women; 94.9% of men); class 2, obstructive coronary artery disease with supply-demand mismatch (2a: 1.4% women; 0.9% men) and without supply-demand mismatch (2b: 2.4% women; 1.1% men); class 3, nonobstructive coronary artery disease with supply-demand mismatch (3a: 4.3% women; 0.8% men) and without supply-demand mismatch (3b: 7.0% women; 1.9% men); class 4, other identifiable mechanism (spontaneous dissection, vasospasm, embolism; 1.5% women, 0.2% men); and class 5, undetermined classification (0.8% women, 0.2% men).Conclusions: Approximately 1 in 8 young women with AMI is unclassified by the Universal Definition of MI. We propose a more inclusive taxonomy that could serve as a framework for understanding biological disease mechanisms, therapeutic efficacy, and prognosis in this population. [ABSTRACT FROM AUTHOR]

An editorial is presented on medication nonadherence for patients who were discharged after hospitalization for acute myocardial infarction (AMI). Topics discussed include role of quality of the clinician-patient relationship, hospital-associated differences, and making electronic health records for patients.

Background: The quality of the relationship between a patient and their usual source of care may impact outcomes, especially after an acute clinical event requiring regular follow-up. Objective: To examine the association between the presence and strength of a usual source of care with mortality and readmission after hospitalization for acute myocardial infarction (AMI). Design: Prospective Registry Evaluating Myocardial Infarction: Event and Recovery (PREMIER), an observational, 19-center study. Patients: AMI patients discharged between January 2003 and June 2004. Main Measures: The strength of the usual source of care was categorized as none, weak, or strong based upon the duration and familiarity of the relationship. Main outcome measures were readmissions and mortality at 6 months and 12 months post-AMI, examined in multivariable analysis adjusting for socio-demographic characteristics, access and barriers to care, financial status, baseline risk factors, and AMI severity. Key Results: Among 2,454 AMI patients, 441 (18.0 %) reported no usual source of care, whereas 247 (10.0 %) and 1,766 (72.0 %) reported weak and strong usual sources of care, respectively. When compared with a strong usual source of care, adults with no usual source of care had higher 6-month mortality rates [adjusted hazard ratio (aHR) = 3.15, 95 % CI, 1.79-5.52; p < 0.001] and 12-month mortality rates (aHR = 1.92, 95 % CI, 1.19-3.12; p = 0.01); adults with a weak usual source of care trended toward higher mortality at 6 months (aHR = 1.95, 95 % CI, 0.98-3.88; p = 0.06), but not 12 months ( p = 0.23). We found no association between the usual source of care and readmissions. Conclusions: Adults with no or weak usual sources of care have an increased risk for mortality following AMI, but not for readmission. [ABSTRACT FROM AUTHOR]

Objective To describe core principles and processes in the implementation of a navigated care program to improve specialty care access for the uninsured. Study Setting Academic researchers, safety-net providers, and specialty physicians, partnered with hospitals and advocates for the underserved to establish Project Access- New Haven ( PA- NH). PA- NH expands access to specialty care for the uninsured and coordinates care through patient navigation. Study Design Case study to describe elements of implementation that may be relevant for other communities seeking to improve access for vulnerable populations. Principal Findings Implementation relied on the application of core principles from community-based participatory research ( CBPR). Effective partnerships were achieved by involving all stakeholders and by addressing barriers in each phase of development, including (1) assessment of the problem; (2) development of goals; (3) engagement of key stakeholders; (4) establishment of the research agenda; and (5) dissemination of research findings. Conclusions Including safety-net providers, specialty physicians, hospitals, and community stakeholders in all steps of development allowed us to respond to potential barriers and implement a navigated care model for the uninsured. This process, whereby we integrated principles from CBPR, may be relevant for future capacity-building efforts to accommodate the specialty care needs of other vulnerable populations. [ABSTRACT FROM AUTHOR]

Background: Mortality rates for patients with acute myocardial infarction (AMI) vary substantially across hospitals, even when adjusted for patient severity; however, little is known about hospital factors that may influence this variation. Objective: To identify factors that may be related to better performance in AMI care, as measured by risk-standardized mortality rates. Design: Qualitative study that used site visits and in-depth interviews. Setting: Eleven U.S. hospitals that ranked in either the top or the bottom 5% in risk-standardized mortality rates for 2 recent years of data from the Centers for Medicare & Medicaid Services (2005 to 2006 and 2006 to 2007), with diversity among hospitals in key characteristics. Participants: 158 members of hospital staff, all of whom were involved with AMI care at the 11 hospitals. Measurements: Site visits and in-depth interviews conducted with hospital staff during 2009. A multidisciplinary team performed analyses by using the constant comparative method. Bradley, PhD Background: Mortality rates for patients with acute myocardial infarction (AMI) vary substantially across hospitals, even when adjusted for patient severity; however, little is known about hospital factors that may influence this variation. Objective: To identify factors that may be related to better performance in AMI care, as measured by risk-standardized mortality rates. Design: Qualitative study that used site visits and in-depth interviews. Setting: Eleven U.S. hospitals that ranked in either the top or the bottom 5% in risk-standardized mortality rates for 2 recent years of data from the Centers for Medicare & Medicaid Services (2005 to 2006 and 2006 to 2007), with diversity among hospitals in key characteristics. Participants: 158 members of hospital staff, all of whom were involved with AMI care at the 11 hospitals. Measurements: Site visits and in-depth interviews conducted with hospital staff during 2009. A multidisciplinary team performed analyses by using the constant comparative method. Results: Hospitals in the high-performing and low-performing groups differed substantially in the domains of organizational values and goals, senior management involvement, broad staff presence and expertise in AMI care, communication and coordination among groups, and problem solving and learning. Participants described diverse protocols or processes for AMI care (such as rapid response teams, clinical guidelines, use of hospitalists, and medication reconciliation); however, these did not systematically differentiate highperforming from low-performing hospitals. Limitation: The qualitative design informed the generation of hypotheses, and statistical associations could not be assessed. Conclusion: High-performing hospitals were characterized by an organizational culture that supported efforts to improve AMI care across the hospital. Evidence-based protocols and processes, although important, may not be sufficient for achieving high hospital performance in care for patients with AMI. [ABSTRACT FROM AUTHOR]

Background: Atrioventricular (AV) node ablation with implantation of a permanent pacemaker is an established mode of therapy in the treatment of atrial fibrillation. However, concern exists regarding subsequent dependency on an entirely paced rhythm and the possible sequela of unheralded pacemaker failure. Data regarding escape rhythm lability, an important feature of pacemaker dependency, are limited. Aims and Methods: The purpose of this study was twofold: (1) to determine the characteristics of escape rhythms at predefined serial time intervals following AV node ablation and pacemaker implantation, and (2) to identify risk factors predictive of unstable escape rhythms. Patients undergoing AV node ablation and pacemaker implantation were assessed for the presence or absence of an escape rhythm during pacemaker interrogation at five predetermined serial time points. Baseline demographics and comorbid conditions were evaluated as potential predictors of those with labile escape rhythms. Results: Seventy-nine percent of the 96 patients studied had an underlying escape rhythm (≥30 beats per minute) immediately postablation. Although the percentage of patients with an escape rhythm increased at each follow-up interval, the number of patients who consistently demonstrated an escape rhythm declined with each follow-up, with 28% of patients lacking an escape rhythm at some time point, i.e., labile escape rhythm. There were no significant predictors of a labile escape rhythm. Conclusion: Among patients who have undergone AV node ablation and pacemaker implantation, 72% have a stable escape rhythm over time, but others are at risk for pacemaker dependency, as predicted by an underlying absent or labile escape rhythm. (PACE 2010; 939–944) [ABSTRACT FROM AUTHOR]

The author claims that modern-day informed consent document may not achieve its intended purpose of supporting individuals in the decision-making process. Topics discussed include consequence if informed consent document is poorly executed, and how consent for medical procedures often takes place in the clinical setting.

The need for cross-cultural training (CCT) increases as physicians encounter more culturally diverse patients. However, most medical schools relegate this topic to non-clinical years, hindering skills development. Some residency programs have successfully addressed this deficit by teaching cross-cultural communication skills in a teaching objective structured clinical examination (tOSCE) context. The authors developed and evaluated a CCT workshop designed to teach cross-cultural communication skills to third-year medical students using a tOSCE approach. A 1½-day workshop incorporating didactic, group discussion and tOSCE components taught medical students cross-cultural awareness, interviewing skills, working with an interpreter, attention to complementary treatments, and consideration of culture in treatment and prevention. Six standardized patient cases introduced various clinical scenarios and the practical and ethical aspects of cross-cultural care. Student evaluation of the workshop was positive concerning educational value, skills advancement and pertinence to their clinical activities. Survey of students before and after the workshop demonstrated improvement in students' abilities to assess the culture and health beliefs of patients and negotiate issues regarding treatment. CCT in the context of medical student clinical training can be carried out effectively and efficiently using a dedicated multi-modal workshop including standardized patients. [ABSTRACT FROM AUTHOR]

Explores the dimensions of the complex relationship between cardiovascular disease and affective disorder. Details of a study on sudden cardiac death and depression; Influence of depression on the prognosis of cardiac disease; Pathophysiology of increased cardiac mortality in patients with depression.

Although statins have served as the cornerstone for pharmacological lowering of lipid levels in atherosclerotic cardiovascular disease (ASCVD) risk reduction, many patients are unable to achieve target doses of statin medication due to side effects or target levels of cholesterol reduction on statin monotherapy. The landscape of lipid-lowering strategies has expanded in recent years, with the emergence of therapies that make use of small interfering RNA (siRNA) and antisense oligonucleotides, in addition to traditional small-molecule agents. Non-statin therapies that have shown promising results in randomized controlled trials include adenosine triphosphate-citrate lyase inhibitors, proprotein convertase subtilisin/kexin 9 (PCSK9)-inhibiting antibodies and siRNA, omega-3 polyunsaturated fatty acids, and lipoprotein(a) gene-inhibiting siRNA and ASOs, in addition to older therapies such as ezetimibe. In contrast, cholesteryl ester transfer protein (CETP) inhibitors have shown less promising results in randomized trials. The purpose of this narrative review is to summarize the evidence for these medications, with a focus on phase III randomized trials. [ABSTRACT FROM AUTHOR]

The article focuses on the option of shared decision making offered to patients instead of the earlier conventional consent procedures, particularly for hip replacement and knee osteoarthritis. It discusses how the physician reviews the options, also informing the patients about the risks involved in the treatment option. It also talks about the legislative route by Washington State encouraging shared decision making.

A response from the authors to their article "Change in Body Mass Index Associated With Lowest Mortality in Denmark," which appeared in a 2016 issue is presented.

Introduction: Despite evidence supporting the benefits of marriage on cardiovascular health, the impact of marital/partner status on the long-term readmission of young acute myocardial infarction (AMI) survivors is less clear. We examined the association between marital/partner status and 1-year all-cause readmission and explored sex differences among young AMI survivors. Methods: Data were from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled young adults aged 18–55 years with AMI (2008–2012). The primary end point was all-cause readmission within 1 year of hospital discharge, obtained from medical records and patient interviews and adjudicated by a physician panel. We performed Cox proportional hazards models with sequential adjustment for demographic, socioeconomic, clinical, and psychosocial factors. Sex-marital/partner status interaction was also tested. Results: Of the 2,979 adults with AMI (2002 women [67.2%]; mean age 48 [interquartile range, 44–52] years), unpartnered individuals were more likely to experience all-cause readmissions compared with married/partnered individuals within the first year after hospital discharge (34.6% versus 27.2%, hazard ratio [HR] = 1.31; 95% confidence interval [CI], 1.15–1.49). The association attenuated but remained significant after adjustment for demographic and socioeconomic factors (adjusted HR, 1.16; 95% CI, 1.01–1.34), and it was not significant after further adjusting for clinical factors and psychosocial factors (adjusted HR, 1.10; 95%CI, 0.94–1.28). A sex-marital/partner status interaction was not significant (p = 0.69). Sensitivity analysis using data with multiple imputation and restricting outcomes to cardiac readmission yielded comparable results. Conclusions: In a cohort of young adults aged 18–55 years, unpartnered status was associated with 1.3-fold increased risk of all-cause readmission within 1 year of AMI discharge. Further adjustment for demographic, socioeconomic, clinical, and psychosocial factors attenuated the association, suggesting that these factors may explain disparities in readmission between married/partnered versus unpartnered young adults. Whereas young women experienced more readmission compared to similar-aged men, the association between marital/partner status and 1-year readmission did not vary by sex. [ABSTRACT FROM AUTHOR]

The article discusses the need to revitalize reasonable-patient standards for informed consent through shared decision making. Topics include policy initiatives to advance informed consent with the reasonable-patient standard, informed consent and high-value patient-centered care, and the importance of implementing value-based payment models that recognize high-quality informed consent practices.

Background: Digital health technology is becoming central to health care. A better understanding of the trends and predictors of its use could reflect how people engage with the health care system and manage their health care needs.Methods: Using data from the National Health Interview Survey for years 2011 to 2018, we assessed the use of digital health technology among individuals aged ≥18 years in the United States across 2 domains: 1) search for health information online and 2) interaction with health care providers (eg, fill a prescription, schedule a medical appointment, or communicate with health care providers).Results: Our study included 253,829 individuals; representing nearly 237 million adults in the United States annually; mean age 49.6 years (SD 18.4); 51.8% women; and 65.9% non-Hispanic white individuals. Overall, 49.2% of individuals reported searching for health information online and 18.5% reported at least 1 technology-based interaction with the health care system. Between 2011 and 2018, the proportion who searched for health information online increased from 46.5% to 55.3% (P < .001), whereas the proportion who used technology to interact with the health care system increased from 12.5% to 27.4% (P < .001). Although technology-based interaction with the health care system increased across most subgroups, there were significant disparities in the extent of increase across clinical and sociodemographic subgroups.Conclusions: The use of digital health technologies increased between 2011 and 2018, however, the uptake of these technologies has been unequal across subgroups. Future innovations and strategies should focus on expanding the reach of digital heath technology across all subgroups of society to ensure that its expansion does not exacerbate the existing health inequalities. [ABSTRACT FROM AUTHOR]

Patient-reported difficulties in affording health care and their association with health status outcomes in peripheral artery disease (PAD) have never been studied. We sought to determine whether financial barriers affected PAD symptoms at presentation, treatment patterns, and patient-reported health status in the year following presentation. A total of 797 United States (US) patients with PAD were identified from the Patient-centered Outcomes Related to TReatment Practices in Peripheral Arterial Disease: Investigating Trajectories (PORTRAIT) study, a prospective, multicenter registry of patients presenting to vascular specialty clinics with PAD. Financial barriers were defined as a composite of no insurance and underinsurance. Disease-specific health status was measured by Peripheral Artery Questionnaire (PAQ) and general health-related quality of life was measured by EuroQol 5 (EQ5D) dimensions at presentation and at 3, 6, and 12 months of follow-up. Among 797 US patients, 21% (n = 165) of patients reported financial barriers. Patients with financial barriers presented at an earlier age (64 ± 9.5 vs 70 ± 9.4 years), with longer duration of symptoms (59% vs 49%) (all p ⩽ 0.05), were more depressed and had higher levels of perceived stress and anxiety. After multivariable adjustment, health status was worse at presentation in patients with financial barriers (PAQ: –7.0 [–10.7, –3.4]; p < 0.001 and EQ5D: –9.2 [–12.74, –5.8]; p < 0.001) as well as through 12 months of follow-up (PAQ: –8.4 [–13.0, –3.8]; p < 0.001 and EQ5D: –9.7 [–13.2, –6.2]; p < 0.001). In conclusion, financial barriers are associated with later presentation as well as poorer health status at presentation and at 12 months. ClinicalTrials.gov Identifier: NCT01419080 [ABSTRACT FROM AUTHOR]

Shared decision-making is increasingly embraced in health care and recommended in cardiovascular guidelines. Patient involvement in health care decisions, patient-clinician communication, and models of patient-centered care are critical to improve health outcomes and to promote equity, but formal models and evaluation in cardiovascular care are nascent. Shared decision-making promotes equity by involving clinicians and patients, sharing the best available evidence, and recognizing the needs, values, and experiences of individuals and their families when faced with the task of making decisions. Broad endorsement of shared decision-making as a critical component of high-quality, value-based care has raised our awareness, although uptake in clinical practice remains suboptimal for a range of patient, clinician, and system issues. Strategies effective in promoting shared decision-making include educating clinicians on communication techniques, engaging multidisciplinary medical teams, incorporating trained decision coaches, and using tools (ie, patient decision aids) at appropriate literacy and numeracy levels to support patients in their cardiovascular decisions. This scientific statement shines a light on the limited but growing body of evidence of the impact of shared decision-making on cardiovascular outcomes and the potential of shared decision-making as a driver of health equity so that everyone has just opportunities. Multilevel solutions must align to address challenges in policies and reimbursement, system-level leadership and infrastructure, clinician training, access to decision aids, and patient engagement to fully support patients and clinicians to engage in the shared decision-making process and to drive equity and improvement in cardiovascular outcomes. [ABSTRACT FROM AUTHOR]

To further the understanding of post-COVID conditions, and provide a more nuanced description of symptom progression, resolution, emergence, and reemergence after SARS-CoV-2 infection or COVID-like illness, analysts examined data from the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), a prospective multicenter cohort study. This report includes analysis of data on self-reported symptoms collected from 1,296 adults with COVID-like illness who were tested for SARS-CoV-2 using a Food and Drug Administration-approved polymerase chain reaction or antigen test at the time of enrollment and reported symptoms at 3-month intervals for 12 months. Prevalence of any symptom decreased substantially between baseline and the 3-month follow-up, from 98.4% to 48.2% for persons who received a positive SARS-CoV-2 test results (COVID test-positive participants) and from 88.2% to 36.6% for persons who received negative SARS-CoV-2 test results (COVID test-negative participants). Persistent symptoms decreased through 12 months; no difference between the groups was observed at 12 months (prevalence among COVID test-positive and COVID test-negative participants = 18.3% and 16.1%, respectively; p>0.05). Both groups reported symptoms that emerged or reemerged at 6, 9, and 12 months. Thus, these symptoms are not unique to COVID-19 or to post-COVID conditions. Awareness that symptoms might persist for up to 12 months, and that many symptoms might emerge or reemerge in the year after COVID-like illness, can assist health care providers in understanding the clinical signs and symptoms associated with post-COVID-like conditions. [ABSTRACT FROM AUTHOR]

BACKGROUND: Consumer-reported patient-provider communication (PPC) assessed by Consumer Assessment of Health Plans Survey in ambulatory settings is incorporated as a complementary value metric for patient-centered care of chronic conditions in pay-for-performance programs. In this study, we examine the relationship of PPC with select indicators of patient-centered care in a nationally representative US adult population with established atherosclerotic cardiovascular disease. METHODS AND RESULTS: The study population consisted of a nationally representative sample of 6810 individuals (aged ≥18 years), representing 18.3 million adults with established atherosclerotic cardiovascular disease (self-reported or International Classification of Diseases, Ninth Edition diagnosis) reporting a usual source of care in the 2010 to 2013 pooled Medical Expenditure Panel Survey cohort. Participants responded to questions from Consumer Assessment of Health Plans Survey that assessed PPC, and we developed a weighted PPC composite score using their responses, categorized as 1 (poor), 2 (average), and 3 (optimal). Outcomes of interest were (1) patient-reported outcomes: 12-item Short Form physical/mental health status, (2) quality of care measures: statin and ASA use, (3) healthcare resource utilization: emergency room visits and hospital stays, and (4) total annual and out-of-pocket healthcare expenditures. Atherosclerotic cardiovascular disease patients reporting poor versus optimal were over 2-fold more likely to report poor outcomes; 52% and 26% more likely to report that they are not on statin and aspirin, respectively, had a significantly greater utilization of health resources (odds ratio≥2 emergency room visit, 1.41 [95% confidence interval, 1.09-1.81]; odds ratio≥2 hospitalization, 1.36 [95% confidence interval, 1.04-1.79]), as well as an estimated $1243 ($127-$2359) higher annual healthcare expenditure. CONCLUSIONS: This study reveals a strong relationship between PPC and patient-reported outcomes, utilization of evidence-based therapies, healthcare resource utilization, and expenditures among those with established atherosclerotic cardiovascular disease. [ABSTRACT FROM AUTHOR]

Background: Disparities in health outcome exist among patients according to socioeconomic status. However, little is known regarding the differences in healthcare experiences across the various levels of income of patients. In a nationally representative US adult population, we evaluate the differences in healthcare experiences based on patient level of income.Objectives: To evaluate the differences in patient healthcare experiences based on level of income.Patients and Methods: We identified 68,447 individuals (mean age, 48 ± 18 years; 55% female) representing 176.8 million US adults, who had an established healthcare provider in the 2010-2013 Medical Expenditure Panel Survey cohort. This retrospective study examined the differences in all five patient-reported healthcare experience measures (access to care, provider responsiveness, patient-provider communication, shared decision-making, and patient satisfaction) under the Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey. We examined the relationship between patient income and their healthcare experience.Results: Overall, 32% of the study participants were high-income earners while 23% had very-low income. Lower income was consistently associated with poor patient report on healthcare experience. Compared with those with high income, very-low-income-earning participants had 1.63 times greater odds (OR 1.63, 95% CI 1.45-1.82) of experiencing difficulty accessing care, had 1.34 times higher odds (OR 1.34, 95% CI 1.25-1.45) of experiencing poor communication, had higher odds (OR 1.68, 95% CI 1.46-1.92) of experiencing delays in healthcare delivery, and were more likely to report poor provider satisfaction (OR 1.48, 95% CI 1.37-1.61).Conclusion: Lower income-earning patients have poorer healthcare experience in all aspects of access and quality of care. Targeted policies focusing on improving communication, engagement, and satisfaction are needed to enhance patient healthcare experience for this vulnerable population. [ABSTRACT FROM AUTHOR]

Background: The IRIS trial (Insulin Resistance Intervention After Stroke) demonstrated that pioglitazone reduced the risk for both cardiovascular events and diabetes mellitus in insulin-resistant patients. However, concern remains that pioglitazone may increase the risk for heart failure (HF) in susceptible individuals.Methods: In IRIS, patients with insulin resistance but without diabetes mellitus were randomized to pioglitazone or placebo (1:1) within 180 days of an ischemic stroke or transient ischemic attack and followed for ≤5 years. To identify patients at higher HF risk with pioglitazone, we performed a secondary analysis of IRIS participants without HF history at entry. HF episodes were adjudicated by an external review, and treatment effects were analyzed using time-to-event methods. A baseline HF risk score was constructed from a Cox model estimated using stepwise selection. Baseline patient features (individually and summarized in risk score) and postrandomization events were examined as possible modifiers of the effect of pioglitazone. Net cardiovascular benefit was estimated for the composite of stroke, myocardial infarction, and hospitalized HF.Results: Among 3851 patients, the mean age was 63 years, and 65% were male. The 5-year HF risk did not differ by treatment (4.1% pioglitazone, 4.2% placebo). Risk for hospitalized HF was low and not significantly greater in pioglitazone compared with placebo groups (2.9% versus 2.3%, P=0.36). Older age, atrial fibrillation, hypertension, obesity, edema, high C-reactive protein, and smoking were risk factors for HF. However, the effect of pioglitazone did not differ across levels of baseline HF risk (hazard ratio [95% CI] for pioglitazone versus placebo for patients at low, moderate, and high risk: 1.03 [0.61-1.73], 1.10 [0.56-2.15], and 1.08 [0.58-2.01]; interaction P value=0.98). HF risk was increased in patients with versus those without incident myocardial infarction in both groups (pioglitazone: 31.4% versus 2.7%; placebo: 25.7% versus 2.4%; P<0.0001). Edema, dyspnea, and weight gain in the trial did not predict HF hospitalization but led to more study drug dose reduction with a lower mean dose of pioglitazone versus placebo (29±17 mg versus 33±15 mg, P<0.0001). Pioglitazone reduced the composite outcome of stroke, myocardial infarction, or hospitalized HF (hazard ratio, 0.78; P=0.007).Conclusions: In IRIS, with surveillance and dose adjustments, pioglitazone did not increase the risk of HF and conferred net cardiovascular benefit in patients with insulin resistance and cerebrovascular disease. The risk of HF with pioglitazone was not modified by baseline HF risk. The IRIS experience may be instructive for maximizing the net benefit of this therapy.Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT00091949. [ABSTRACT FROM AUTHOR]

The authors discuss some measures that physicians can adopt both at the bedside and in the community to help reform the U.S. health care system and achieve their moral and professional responsibilities to the public. The consideration and adoption of new ways to measuring and improving the quality of care are encouraged. The authors also address the concerns over costs of medical care. Other areas that the authors believe needed improvement are communication, involvement in community-based programs and payment reform solutions.

Background While prior work examining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern focused on hospitalization and death, less is known about differences in clinical presentation. We compared the prevalence of acute symptoms across pre-Delta, Delta, and Omicron. Methods We conducted an analysis of the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), a cohort study enrolling symptomatic SARS-CoV-2-positive participants. We determined the association between the pre-Delta, Delta, and Omicron time periods and the prevalence of 21 coronavirus disease 2019 (COVID-19) acute symptoms. Results We enrolled 4113 participants from December 2020 to June 2022. Pre-Delta vs Delta vs Omicron participants had increasing sore throat (40.9%, 54.6%, 70.6%; P <.001), cough (50.9%, 63.3%, 66.7%; P <.001), and runny noses (48.9%, 71.3%, 72.9%; P <.001). We observed reductions during Omicron in chest pain (31.1%, 24.2%, 20.9%; P <.001), shortness of breath (42.7%, 29.5%, 27.5%; P <.001), loss of taste (47.1%, 61.8%, 19.2%; P <.001), and loss of smell (47.5%, 55.6%, 20.0%; P <.001). After adjustment, those infected during Omicron had significantly higher odds of sore throat vs pre-Delta (odds ratio [OR], 2.76; 95% CI, 2.26–3.35) and Delta (OR, 1.96; 95% CI, 1.69–2.28). Conclusions Participants infected during Omicron were more likely to report symptoms of common respiratory viruses, such as sore throat, and less likely to report loss of smell and taste. Trial registration NCT04610515. [ABSTRACT FROM AUTHOR]

Background Most research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants focuses on initial symptomatology with limited longer-term data. We characterized prevalences of prolonged symptoms 3 months post–SARS-CoV-2 infection across 3 variant time-periods (pre-Delta, Delta, and Omicron). Methods This multicenter prospective cohort study of adults with acute illness tested for SARS-CoV-2 compared fatigue severity, fatigue symptoms, organ system–based symptoms, and ≥3 symptoms across variants among participants with a positive ("COVID-positive") or negative SARS-CoV-2 test ("COVID-negative") at 3 months after SARS-CoV-2 testing. Variant periods were defined by dates with ≥50% dominant strain. We performed multivariable logistic regression modeling to estimate independent effects of variants adjusting for sociodemographics, baseline health, and vaccine status. Results The study included 2402 COVID-positive and 821 COVID-negative participants. Among COVID-positives, 463 (19.3%) were pre-Delta, 1198 (49.9%) Delta, and 741 (30.8%) Omicron. The pre-Delta COVID-positive cohort exhibited more prolonged severe fatigue (16.7% vs 11.5% vs 12.3%; P =.017) and presence of ≥3 prolonged symptoms (28.4% vs 21.7% vs 16.0%; P <.001) compared with the Delta and Omicron cohorts. No differences were seen in the COVID-negatives across time-periods. In multivariable models adjusted for vaccination, severe fatigue and odds of having ≥3 symptoms were no longer significant across variants. Conclusions Prolonged symptoms following SARS-CoV-2 infection were more common among participants infected during pre-Delta than with Delta and Omicron; however, these differences were no longer significant after adjusting for vaccination status, suggesting a beneficial effect of vaccination on risk of long-term symptoms. Clinical Trials Registration. NCT04610515. [ABSTRACT FROM AUTHOR]

Younger women experience worse health status than men after their index episode of acute myocardial infarction (AMI). However, whether women have a higher risk for cardiovascular and noncardiovascular hospitalizations in the year after discharge is unknown. The aim of this study was to determine sex differences in causes and timing of 1-year outcomes after AMI in people aged 18 to 55 years. Data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young patients with AMI across 103 U.S. hospitals, were used. Sex differences in all-cause and cause-specific hospitalizations were compared by calculating incidence rates ([IRs] per 1,000 person-years) and IR ratios with 95% CIs. We then performed sequential modeling to evaluate the sex difference by calculating subdistribution HRs (SHRs) accounting for deaths. Among 2,979 patients, at least 1 hospitalization occurred among 905 patients (30.4%) in the year after discharge. The leading causes of hospitalization were coronary related (IR: 171.8 [95% CI: 153.6-192.2] among women vs 117.8 [95% CI: 97.3-142.6] among men), followed by noncardiac hospitalization (IR: 145.8 [95% CI: 129.2-164.5] among women vs 69.6 [95% CI: 54.5-88.9] among men). Furthermore, a sex difference was present for coronary-related hospitalizations (SHR: 1.33; 95% CI: 1.04-1.70; P = 0.02) and noncardiac hospitalizations (SHR: 1.51; 95% CI: 1.13-2.07; P = 0.01). Young women with AMI experience more adverse outcomes than men in the year after discharge. Coronary-related hospitalizations were most common, but noncardiac hospitalizations showed the most significant sex disparity. [Display omitted] [ABSTRACT FROM AUTHOR]