Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records.

BACKGROUND: The digital transformation of medical data enables health systems to leverage real-world data from electronic health records to gain actionable insights for improving hypertension care. METHODS AND RESULTS: We performed a serial cross-sectional analysis of outpatients of a large regional health system from 2010 to 2021. Hypertension was defined by systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or recorded treatment with antihypertension medications. We evaluated 4 methods of using blood pressure measurements in the electronic health record to define hypertension. The primary outcomes were age-adjusted prevalence rates and age-adjusted control rates. Hypertension prevalence varied depending on the definition used, ranging from 36.5% to 50.9% initially and increasing over time by ≈5%, regardless of the definition used. Control rates ranged from 61.2% to 71.3% initially, increased during 2018 to 2019, and decreased during 2020 to 2021. The proportion of patients with a hypertension diagnosis ranged from 45.5% to 60.2% initially and improved during the study period. Non-Hispanic Black patients represented 25% of our regional population and consistently had higher prevalence rates, higher mean systolic and diastolic blood pressure, and lower control rates compared with other racial and ethnic groups. CONCLUSIONS: In a large regional health system, we leveraged the electronic health record to provide real-world insights. The findings largely reflected national trends but showed distinctive regional demographics and findings, with prevalence increasing, one-quarter of the patients not controlled, and marked disparities. This approach could be emulated by regional health systems seeking to improve hypertension care.

Concentric Cardiac Remodeling and Hypertrophy in Pregnant Individuals with Chronic Hypertension.

OBJECTIVE: This study aimed to evaluate rates of superimposed preeclampsia in pregnant individuals with echocardiography-diagnosed cardiac geometric changes in the setting of chronic hypertension. STUDY DESIGN: This was a retrospective study of pregnant individuals with chronic hypertension who delivered singleton pregnancies at 20 weeks' gestation or greater at a tertiary care center. Analyses were limited to individuals who had an echocardiogram during any trimester. Cardiac changes were categorized as normal morphology, concentric remodeling, eccentric hypertrophy, and concentric hypertrophy according to the American Society of Echocardiography guidelines. Our primary outcome was early-onset superimposed preeclampsia defined as delivery at less than 34 weeks' gestation. Other secondary outcomes were also examined. Adjusted odds ratios (aORs) with 95% confidence intervals (95% CIs) were calculated, controlling for prespecified covariates. RESULTS: Of the 168 individuals who delivered from 2010 to 2020, 57 (33.9%) had normal morphology, 54 (32.1%) had concentric remodeling, 9 (5.4%) had eccentric hypertrophy, and 48 (28.6%) had concentric hypertrophy. Non-Hispanic black individuals presented over 76% of the cohort. Rates of the primary outcome in individuals with normal morphology, concentric remodeling, eccentric hypertrophy, and concentric hypertrophy were 15.8, 37.0, 22.2, and 41.7%, respectively (p = 0.01). Compared with individuals with normal morphology, individuals with concentric remodeling were more likely to have the primary outcome (aOR: 3.28; 95% CI: 1.28-8.39), fetal growth restriction (crude OR: 2.98; 95% CI: 1.05-8.43), and iatrogenic preterm delivery <34 weeks' gestation (aOR: 2.72; 95% CI: 1.15-6.40). Compared with individuals with normal morphology, individuals with concentric hypertrophy were more likely to have the primary outcome (aOR: 4.16; 95% CI: 1.57-10.97), superimposed preeclampsia with severe features at any gestational age (aOR: 4.75; 95% CI: 1.94-11.62), iatrogenic preterm delivery <34 weeks' gestation (aOR: 3.60; 95% CI: 1.47-8.81), and neonatal intensive care unit admission (aOR: 4.82; 95% CI: 1.90-12.21). CONCLUSION: Concentric remodeling and concentric hypertrophy were associated with increased odds of early-onset superimposed preeclampsia. KEY POINTS: · Concentric remodeling and concentric hypertrophy were associated with an increased risk of superimposed preeclampsia.. · Concentric hypertrophy was associated with an increased risk of delivery at less than 34 weeks.. · Two-thirds of the individuals in our study had concentric hypertrophy and concentric remodeling..

Sex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction.

Greater symptom complexity in women than in men could slow acute ST-elevation myocardial infarction (STEMI) recognition and delay door-to-balloon (D2B) times. We sought to determine the sex differences in symptom complexity and their relation to D2B times in 1,677 young and older patients with STEMI using data from the VIRGO and SILVER-AMI studies. Symptom complexity was defined by the number of symptom patterns or phenotypes and average number of symptoms. The numbers of symptom phenotypes were compared in women and men using the Monte Carlo permutation testing. Groups were also compared using the generalized linear regression and logistic regression. The number of symptom phenotypes (244 vs 171, p = 0.02), mean number of symptoms (4.7 vs 4.2, p <0.001), and mean D2B time (114.6 vs 97.8 minutes, p = 0.004) were greater in young women than in young men but were not significantly different in older women compared with older men. The regression analysis did not show a relation between symptom complexity and D2B time overall; although, chest pain was a significant predictor of D2B times, and young women were more likely to report symptoms other than chest pain. Among patients with STEMI, 36% did not receive percutaneous coronary intervention (PCI), which was associated with presentation delay >6 hours. In patients with STEMI with either D2B time ≥90 minutes or no PCI, women had significantly more symptom phenotypes overall and in VIRGO but not in SILVER-AMI. In conclusion, the markers of symptom complexity were not associated with D2B time overall, but more symptom phenotypes in young women were associated with prolonged D2B time or no PCI. In addition, greater frequency of nonchest pain symptoms in young women may have also slowed the recognition of STEMI and D2B times in young women. Further research on symptoms clusters is needed to improve the recognition of STEMIs to improve the D2B times in young women.

Diagnostic reasoning in cardiovascular medicine.

Research in cognitive psychology shows that expert clinicians make a medical diagnosis through a two step process of hypothesis generation and hypothesis testing. Experts generate a list of possible diagnoses quickly and intuitively, drawing on previous experience. Experts remember specific examples of various disease categories as exemplars, which enables rapid access to diagnostic possibilities and gives them an intuitive sense of the base rates of various diagnoses. After generating diagnostic hypotheses, clinicians then test the hypotheses and subjectively estimate the probability of each diagnostic possibility by using a heuristic called anchoring and adjusting. Although both novices and experts use this two step diagnostic process, experts distinguish themselves as better diagnosticians through their ability to mobilize experiential knowledge in a manner that is content specific. Experience is clearly the best teacher, but some educational strategies have been shown to modestly improve diagnostic accuracy. Increased knowledge about the cognitive psychology of the diagnostic process and the pitfalls inherent in the process may inform clinical teachers and help learners and clinicians to improve the accuracy of diagnostic reasoning. This article reviews the literature on the cognitive psychology of diagnostic reasoning in the context of cardiovascular disease.

Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction.

BACKGROUND: Clinicians make a medical diagnosis by recognizing diagnostic possibilities, often using memories of prior examples. These memories, called "exemplars," reflect specific symptom combinations in individual patients, yet most clinical studies report how symptoms aggregate in populations. We studied how symptoms of acute myocardial infarction combine in individuals as symptom phenotypes and how symptom phenotypes are distributed in women and men. METHODS: In this analysis of the SILVER-AMI Study, we studied 3041 patients (1346 women and 1645 men) 75 years of age or older with acute myocardial infarction. Each patient had a standardized in-person interview during the acute myocardial infarction admission to document the presenting symptoms, which enabled a thorough examination of symptom combinations in individuals. Specific symptom combinations defined symptom phenotypes and distributions of symptom phenotypes were compared in women and men using Monte Carlo permutation testing and repeated subsampling. RESULTS: There were 1469 unique symptom phenotypes in the entire SILVER-AMI cohort of patients with acute myocardial infarction. There were 831 unique symptom phenotypes in women, as compared with 819 in men, which was highly significant, given the larger number of men than women in the study (P < .0001). Women had significantly more symptom phenotypes than men in almost all acute myocardial infarction subgroups. CONCLUSIONS: Older patients with acute myocardial infarction have enormous variation in symptom phenotypes. Women reported more symptoms and had significantly more symptom phenotypes than men. Appreciation of the diversity of symptom phenotypes may help clinicians recognize the less common phenotypes that occur more often in women.

Maintenance of Competence in Cardiovascular Training and Practices: Worth the Effort?

Americans expect their doctors to have the competence to deliver high-quality care and expect safeguards to be in place that assure their doctors are competent. However, competence requires knowledge, and people have trouble assessing their own knowledge and level of competence. Because external assessment is required, several organizations have taken on the roles of defining and assuring medical competence. For example, professional organizations such as the American College of Cardiology (ACC) have developed consensus documents that define core competencies for cardiologists. External organizations such as the Accreditation Council for Graduate Medical Education and the American Board of Internal Medicine (ABIM) have defined training requirements for cardiologists, and the ABIM has developed a process to certify that physicians maintain their competence, although the process has generated considerable criticism from the profession. Recently, the ACC and ABIM have worked together to make the certification process less onerous and more meaningful. This paper provides a brief summary of the history and ongoing efforts to assure the competence of cardiologists.

Risk Model for Decline in Activities of Daily Living Among Older Adults Hospitalized With Acute Myocardial Infarction: The SILVER-AMI Study.

Background Functional decline (ie, a decrement in ability to perform everyday activities necessary to live independently) is common after acute myocardial infarction (AMI) and associated with poor long-term outcomes; yet, we do not have a tool to identify older AMI survivors at risk for this important patient-centered outcome. Methods and Results We used data from the prospective SILVER-AMI (Comprehensive Evaluation of Risk Factors in Older Patients With Acute Myocardial Infarction) study of 3041 patients with AMI, aged ≥75 years, recruited from 94 US hospitals. Participants were assessed during hospitalization and at 6 months to collect data on demographics, geriatric impairments, psychosocial factors, and activities of daily living. Clinical variables were abstracted from the medical record. Functional decline was defined as a decrement in ability to independently perform essential activities of daily living (ie, bathing, dressing, transferring, and ambulation) from baseline to 6 months postdischarge. The mean age of the sample was 82±5 years; 57% were men, 90% were White, and 13% reported activity of daily living decline at 6 months postdischarge. The model identified older age, longer hospital stay, mobility impairment during hospitalization, preadmission physical activity, and depression as risk factors for decline. Revascularization during AMI hospitalization and ability to walk a quarter mile before AMI were associated with decreased risk. Model discrimination (c=0.78) and calibration were good. Conclusions We identified a parsimonious model that predicts risk of activity of daily living decline among older patients with AMI. This tool may aid in identifying older patients with AMI who may benefit from restorative therapies to optimize function after AMI.

Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction.

BACKGROUND: The diagnosis of acute myocardial infarction (AMI) is missed more frequently in young women than men, which may be related to the cognitive psychology of the diagnostic process. Physicians start the diagnostic process by intuitively recognizing familiar symptom phenotypes, but little is known about how symptoms combine in individuals as unique symptom phenotypes. We examined how symptoms of AMI combine as unique symptom phenotypes in individual patients to compare the distribution of symptom phenotypes in women versus men. METHODS AND RESULTS: The VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) was a multicenter, observational cohort study of 3501 young adults hospitalized with AMI. Data were collected on presenting symptoms with standardized interviews and from medical record abstraction. The number and distribution of unique symptom phenotypes were compared between women and men. Because of the 2:1 female-to-male enrollment ratio, women and men were compared with permutation testing and repeated subsampling. There were 426 interview-symptom phenotypes in women and 280 in men. The observed difference between women and men of 146 phenotypes was significant, even allowing for the greater enrollment of women (permutation P=0.004, median difference 110 under the null hypothesis of no association between sex and phenotype). The repeated subsample analysis also showed significantly more interview-symptom phenotypes in women than men (206.8±7.3 versus 188.6±6.0, P<0.001). Women were more broadly distributed among symptom phenotype subgroups than men (P<0.001). Similar findings were observed in the analysis of symptoms abstracted from the medical record. CONCLUSIONS: Women exhibited substantially more variation in unique symptom phenotypes than men, regardless of whether the symptoms were derived from structured interviews or abstracted from the medical record. These findings may provide an explanation for the higher missed diagnosis rate in young women with AMI and may have important implications for teaching and improving clinicians' ability to recognize the diagnosis of AMI in women.

Effect of Teaching Bayesian Methods Using Learning by Concept vs Learning by Example on Medical Students' Ability to Estimate Probability of a Diagnosis: A Randomized Clinical Trial.

Importance: Clinicians use probability estimates to make a diagnosis. Teaching students to make more accurate probability estimates could improve the diagnostic process and, ultimately, the quality of medical care. Objective: To test whether novice clinicians can be taught to make more accurate bayesian revisions of diagnostic probabilities using teaching methods that apply either explicit conceptual instruction or repeated examples. Design, Setting, and Participants: A randomized clinical trial of 2 methods for teaching bayesian updating and diagnostic reasoning was performed. A web-based platform was used for consent, randomization, intervention, and testing of the effect of the intervention. Participants included 61 medical students at McMaster University and Eastern Virginia Medical School recruited from May 1 to September 30, 2018. Interventions: Students were randomized to (1) receive explicit conceptual instruction regarding diagnostic testing and bayesian revision (concept group), (2) exposure to repeated examples of cases with feedback regarding posttest probability (experience group), or (3) a control condition with no conceptual instruction or repeated examples. Main Outcomes and Measures: Students in all 3 groups were tested on their ability to update the probability of a diagnosis based on either negative or positive test results. Their probability revisions were compared with posttest probability revisions that were calculated using the Bayes rule and known test sensitivity and specificity. Results: Of the 61 participants, 22 were assigned to the concept group, 20 to the experience group, and 19 to the control group. Approximate age was 25 years. Two participants were first-year; 37, second-year; 12, third-year; and 10, fourth-year students. Mean (SE) probability estimates of students in the concept group were statistically significantly closer to calculated bayesian probability than the other 2 groups (concept, 0.4%; [0.7%]; experience, 3.5% [0.7%]; control, 4.3% [0.7%]; P < .001). Although statistically significant, the differences between groups were relatively modest, and students in all groups performed better than expected, based on prior reports in the literature. Conclusions and Relevance: The study showed a modest advantage for students who received theoretical instruction on bayesian concepts. All participants' probability estimates were, on average, close to the bayesian calculation. These findings have implications for how to teach diagnostic reasoning to novice clinicians. Trial Registration: ClinicalTrials.gov identifier: NCT04130607.

Effect of Diabetes Mellitus on Complication Rates of Coronary Artery Bypass Grafting.

Previous studies have shown that diabetes mellitus (DM) is a risk factor for postoperative coronary artery bypass grafting (CABG) complications. More contemporary studies are needed to guide revascularization decisions in DM patients. We performed a single-center study of patients who underwent CABG. Patients with no DM were compared with patients with DM, subgrouped according to whether or not DM was treated with insulin before admission (Insulin and No Insulin Groups). Multivariable logistic regression was used to determine whether DM was a significant predictor of mortality, combined postoperative events, and specific postoperative complications after controlling for other predictive clinical variables. Of 11,590 consecutive patients who underwent CABG, 5,013 (43%) had DM and 6,577 (57%) had no DM. Of the patients with DM, 3,433 (68%) were not treated with insulin and 1,580 (32%) were treated with insulin before admission. Multivariable logistic regression analyses showed that DM was not significantly associated with in-hospital mortality or combined postoperative events after considering other clinical variables. The No Insulin Group was significantly associated with stroke, and the Insulin Group was significantly associated with surgical site infection and new renal failure. In conclusion, this study of consecutively treated CABG patients shows that DM is not a predictor of in-hospital mortality or combined in-hospital postoperative events after adjusting for other clinical factors. DM is a predictor of permanent stroke, surgical site infection, and new renal failure. These findings may help with case selection and management of DM patients undergoing CABG.

How Expert Clinicians Intuitively Recognize a Medical Diagnosis.

Research has shown that expert clinicians make a medical diagnosis through a process of hypothesis generation and verification. Experts begin the diagnostic process by generating a list of diagnostic hypotheses using intuitive, nonanalytic reasoning. Analytic reasoning then allows the clinician to test and verify or reject each hypothesis, leading to a diagnostic conclusion. In this article, we focus on the initial step of hypothesis generation and review how expert clinicians use experiential knowledge to intuitively recognize a medical diagnosis.

Perceived Stress After Acute Myocardial Infarction: A Comparison Between Young and Middle-Aged Women Versus Men.

OBJECTIVE: The aim of the study was to examine how psychological stress changes over time in young and middle-aged patients after experiencing an acute myocardial infarction (AMI) and whether these changes differ between men and women. METHODS: We analyzed data obtained from 2358 women and 1151 men aged 18 to 55 years hospitalized for AMI. Psychological stress was measured using the 14-item Perceived Stress Scale (PSS-14) at initial hospitalization and at 1 month and 12 months after AMI. We used linear mixed-effects models to examine changes in PSS-14 scores over time and sex differences in these changes, while adjusting for patient characteristics and accounting for correlation among repeated observations within patients. RESULTS: Overall, patients' perceived stress decreased over time, especially during the first month after AMI. Women had higher levels of perceived stress than men throughout the 12-month period (difference in PSS-14 score = 3.63, 95% confidence interval = 3.08 to 4.18, p < .001), but they did not differ in how stress changed over time. Adjustment for patient characteristics did not alter the overall pattern of sex difference in changes of perceived stress over time other than attenuating the magnitude of sex difference in PSS-14 score (difference between women and men = 1.74, 95% confidence interval = 1.32 to 2.16, p < .001). The magnitude of sex differences in perceived stress was similar in patients with versus without post-AMI angina, even though patients with angina experienced less improvement in PSS-14 score than those without angina. CONCLUSIONS: In young and middle-aged patients with AMI, women reported higher levels of perceived stress than men throughout the first 12 months of recovery. However, women and men had a similar pattern in how perceived stress changed over time.