Postpartum Management of Hypertensive Disorders of Pregnancy in Six Large U.S. Hospital Systems: Descriptive Review and Identification of Clinical and Research Gaps.

Hypertensive disorders of pregnancy (HDPs) are a key contributor to maternal morbidity and mortality. Several gaps in knowledge remain regarding best practices in the postpartum management of HDPs. In this review, we describe postpartum HDPs management among six large academic U.S. hospital systems: Medical College of Wisconsin, University of Pittsburgh, University of Wisconsin-Madison, Northwestern University, University of Minnesota, and Boston Medical Center. We identified that all six health systems discharge patients with HDPs diagnosed with a blood pressure (BP) cuff and use the same two antihypertensive medications, nifedipine and labetalol, as first- and second-line treatment of HDPs. Northwestern University routinely adds oral furosemide for 5 days for patients with BP that exceeds 150/100 mm Hg. Most hospital systems administer magnesium sulfate routinely when readmission for HDPs occurs. In contrast, there was variation in BP threshold for antihypertensive treatment initiation, use of remote BP monitoring program, use of a transition clinic, delivery or lack of education on long-term cardiovascular disease risk, and BP management through the first 6 weeks postpartum and beyond. Based on the clinical review, we identified clinical gaps and formulated considerations for research priorities in the field of postpartum HDPs management. KEY POINTS: · Several gaps in knowledge remain regarding best practices in postpartum management of HDPs.. · There is a variation in the BP threshold for antihypertensive treatment initiation.. · Data are lacking on the reduction in severe maternal morbidity (SMM) and racial disparities in SMM with remote monitoring..

Proteomic Risk Score of Increased Respiratory Susceptibility: A Multi-Cohort Study.

RATIONALE: Accelerated decline in lung function is associated with incident COPD, hospitalizations and death. However, identifying this trajectory with longitudinal spirometry measurements is challenging in clinical practice. OBJECTIVE: To determine whether a proteomic risk score trained on accelerated decline in lung function can assess risk of future respiratory disease and mortality. METHODS: In CARDIA, a population-based cohort starting in young adulthood, longitudinal measurements of FEV1 percent predicted (up to six timepoints over 30 years) were used to identify accelerated and normal decline trajectories. Protein aptamers associated with an accelerated decline trajectory were identified with multivariable logistic regression followed by LASSO regression. The proteomic respiratory susceptibility score was derived based on these circulating proteins and applied to the UK Biobank and COPDGene studies to examine associations with future respiratory morbidity and mortality. MEASUREMENTS AND RESULTS: Higher susceptibility score was independently associated with all-cause mortality (UKBB: HR 1.56, 95%CI 1.50-1.61; COPDGene: HR 1.75, 95%CI 1.63-1.88), respiratory mortality (UKBB: HR 2.39, 95% CI 2.16-2.64; COPDGene: HR 1.83, 95%CI 1.33-2.51), incident COPD (UKBB: HR 1.84, 95%CI 1.71-1.98), incident respiratory exacerbation (COPDGene: OR 1.11, 95%CI 1.03-1.20), and incident exacerbation requiring hospitalization (COPDGene: OR 1.18, 95%CI 1.08-1.28). CONCLUSIONS: A proteomic signature of increased respiratory susceptibility identifies people at risk of respiratory death, incident COPD, and respiratory exacerbations. This susceptibility score is comprised of proteins with well-known and novel associations with lung health and holds promise for the early detection of lung disease without requiring years of spirometry measurements.

Cardiovascular Disease Mortality Trends, 2010-2022: An Update with Final Data.

INTRODUCTION: Age-adjusted mortality rates (AAMR) for cardiovascular diseases (CVD) increased in 2020 and 2021, and provisional data indicated an increase in 2022, resulting in substantial excess CVD deaths during the COVID-19 pandemic. Updated estimates using final data for 2022 are needed. METHODS: The National Vital Statistics System's final Multiple Cause of Death files were analyzed in 2024 to calculate AAMR from 2010 to 2022 and excess deaths from 2020 to 2022 for U.S. adults aged ≥35 years, with CVD as the underlying cause of death. RESULTS: The CVD AAMR among adults aged ≥35 years in 2022 was 434.6 deaths per 100,000 (95% CI=433.8, 435.5), which was lower than in 2021 (451.8 deaths per 100,000; 95% CI=450.9, 452.7). The most recent year with a similarly high CVD AAMR as in 2022 was 2012 (434.7 deaths per 100,000 population, 95% CI=433.8, 435.7). The CVD AAMR for 2022 calculated using provisional data overestimated the AAMR calculated using final data by 4.6% (95% CI=4.3%, 4.9%) or 19.9 (95% CI=18.6, 21.2) deaths per 100,000 population. From 2020 to 2022, an estimated 190,661 (95% CI=158,139, 223,325) excess CVD deaths occurred. CONCLUSIONS: In 2022, the CVD AAMR among adults aged ≥35 years did not increase, but rather declined from a peak in 2021, signaling improvements in adverse mortality trends that began in 2020, amid the COVID-19 pandemic. However, the 2022 CVD AAMR remains higher than observed before the COVID-19 pandemic, indicating an ongoing need for CVD prevention, detection, and management.

Clinical-transcriptional prioritization of the circulating proteome in human heart failure.

Given expanding studies in epidemiology and disease-oriented human studies offering hundreds of associations between the human "ome" and disease, prioritizing molecules relevant to disease mechanisms among this growing breadth is important. Here, we link the circulating proteome to human heart failure (HF) propensity (via echocardiographic phenotyping and clinical outcomes) across the lifespan, demonstrating key pathways of fibrosis, inflammation, metabolism, and hypertrophy. We observe a broad array of genes encoding proteins linked to HF phenotypes and outcomes in clinical populations dynamically expressed at a transcriptional level in human myocardium during HF and cardiac recovery (several in a cell-specific fashion). Many identified targets do not have wide precedent in large-scale genomic discovery or human studies, highlighting the complementary roles for proteomic and tissue transcriptomic discovery to focus epidemiological targets to those relevant in human myocardium for further interrogation.

Prediction of Cumulative Exposure to Atherogenic Lipids During Early Adulthood.

BACKGROUND: The ability of a 1-time measurement of non-high-density lipoprotein cholesterol (non-HDL-C) or low-density lipoprotein cholesterol (LDL-C) to predict the cumulative exposure to these lipids during early adulthood (age 18-40 years) and the associated atherosclerotic cardiovascular disease (ASCVD) risk after age 40 years is not clear. OBJECTIVES: The objectives of this study were to evaluate whether a 1-time measurement of non-HDL-C or LDL-C in a young adult can predict cumulative exposure to these lipids during early adulthood, and to quantify the association between cumulative exposure to non-HDL-C or LDL-C during early adulthood and the risk of ASCVD after age 40 years. METHODS: We included CARDIA (Coronary Artery Risk Development in Young Adults Study) participants who were free of cardiovascular disease before age 40 years, were not taking lipid-lowering medications, and had ≥3 measurements of LDL-C and non-HDL-C before age 40 years. First, we assessed the ability of a 1-time measurement of LDL-C or non-HDL-C obtained between age 18 and 30 years to predict the quartile of cumulative lipid exposure from ages 18 to 40 years. Second, we assessed the associations between quartiles of cumulative lipid exposure from ages 18 to 40 years with ASCVD events (fatal and nonfatal myocardial infarction and stroke) after age 40 years. RESULTS: Of 4,104 CARDIA participants who had multiple lipid measurements before and after age 30 years, 3,995 participants met our inclusion criteria and were in the final analysis set. A 1-time measure of non-HDL-C and LDL-C had excellent discrimination for predicting membership in the top or bottom quartiles of cumulative exposure (AUC: 0.93 for the 4 models). The absolute values of non-HDL-C and LDL-C that predicted membership in the top quartiles with the highest simultaneous sensitivity and specificity (highest Youden's Index) were >135 mg/dL for non-HDL-C and >118 mg/dL for LDL-C; the values that predicted membership in the bottom quartiles were <107 mg/dL for non-HDL-C and <96 mg/dL for LDL-C. Individuals in the top quartile of non-HDL-C and LDL-C exposure had demographic-adjusted HRs of 4.6 (95% CI: 2.84-7.29) and 4.0 (95% CI: 2.50-6.33) for ASCVD events after age 40 years, respectively, when compared with each bottom quartile. CONCLUSIONS: Single measures of non-HDL-C and LDL-C obtained between ages 18 and 30 years are highly predictive of cumulative exposure before age 40 years, which in turn strongly predicts later-life ASCVD events.

Myocardial Infarction Quality of Care and Outcomes in Asian Ethnic Groups in the United States.

BACKGROUND: National-level differences in myocardial infarction (MI) quality of care among Asian patients in the United States are unclear. We assessed the quality of MI care in the 6 largest US Asian ethnic groups. METHODS: Patients aged ≥18 years with ST-segment-elevation MI or non-ST-segment-elevation MI in the Get With The Guidelines-Coronary Artery Disease registry (711 US hospitals, 2015-2021) were assessed. The odds of MI-related quality of care and process outcomes were evaluated in Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, and other Asian adults compared with non-Hispanic White adults. Sex-stratified logistic regression models were adjusted for age and clinical characteristics. RESULTS: There were 5691 Asian patients (1520 Asian Indian, 422 Chinese, 430 Filipino, 114 Japanese, 283 Korean, 553 Vietnamese, and 2369 other Asian) and 141 271 non-Hispanic White patients, overall 30% female, and mean age of 66.5 years. Relative to non-Hispanic White adults, among patients with ST-segment-elevation MI, door-to-ECG time ≤10 minutes was less likely in Asian Indian (adjusted odds ratio [aOR], 0.64 [95% CI, 0.50-0.82]), Chinese (aOR, 0.65 [95% CI, 0.46-0.93]), and Korean (aOR, 0.57 [95% CI, 0.33-0.97]) men and in other Asian women (aOR, 0.61 [95% CI, 0.41-0.90]). Door-to-balloon time ≤90 minutes was less likely in Asian Indian men (aOR, 0.71 [95% CI, 0.56-0.90]) and Filipina women (aOR, 0.48 [95% CI, 0.24-0.98]). In patients with ST-segment-elevation MI or non-ST-segment-elevation MI, optimal medical therapy for MI was less likely in Korean men (aOR, 0.65 [95% CI, 0.47-0.90]) and more likely in Asian Indian men (aOR, 1.22 [95% CI, 1.06-1.40]) and women (aOR, 1.32 [95% CI, 1.04-1.67]) and Filipina women (aOR, 1.84 [95% CI, 1.27-2.67]). CONCLUSIONS: MI quality of care varies among US Asian patients with ST-segment-elevation MI and non-ST-segment-elevation MI. Quality improvement programs must identify and address the factors that result in suboptimal MI quality of care among US Asian patients.

Elevated Blood Pressure in Pregnancy and Long-Term Cardiometabolic Health Outcomes.

OBJECTIVE: To examine the association between elevated blood pressure (BP) in the early third trimester and cardiometabolic health 10-14 years after delivery. METHODS: This is a secondary analysis from the prospective HAPO FUS (Hyperglycemia and Adverse Pregnancy Outcome Follow-Up Study). Blood pressure in the early third trimester was categorized per American College of Cardiology/American Heart Association thresholds for: normal BP below 120/80 mm Hg (reference), elevated BP 120-129/below 80 mm Hg, stage 1 hypertension 130-139/80-89 mm Hg, and stage 2 hypertension 140/90 mm Hg or higher. Cardiometabolic outcomes assessed 10-14 years after the index pregnancy were type 2 diabetes mellitus and measures of dyslipidemia, including low-density lipoprotein (LDL) cholesterol 130 mg/dL or higher, total cholesterol 200 mg/dL or higher, high-density lipoprotein (HDL) cholesterol 40 mg/dL or lower, and triglycerides 200 mg/dL or higher. Adjusted analysis was performed with the following covariates: study field center, follow-up duration, age, body mass index (BMI), height, family history of hypertension and diabetes, smoking and alcohol use, parity, and oral glucose tolerance test glucose z score. RESULTS: Among 4,692 pregnant individuals at a median gestational age of 27.9 weeks (interquartile range 26.6-28.9 weeks), 8.5% (n=399) had elevated BP, 14.9% (n=701) had stage 1 hypertension, and 6.4% (n=302) had stage 2 hypertension. At a median follow-up of 11.6 years, among individuals with elevated BP, there was a higher frequency of diabetes (elevated BP: adjusted relative risk [aRR] 1.88, 95% CI, 1.06-3.35; stage 1 hypertension: aRR 2.58, 95% CI, 1.62-4.10; stage 2 hypertension: aRR 2.83, 95% CI, 1.65-4.95) compared with those with normal BP. Among individuals with elevated BP, there was a higher frequency of elevated LDL cholesterol (elevated BP: aRR 1.27, 95% CI, 1.03-1.57; stage 1 hypertension: aRR 1.22, 95% CI, 1.02-1.45, and stage 2 hypertension: aRR 1.38, 95% CI, 1.10-1.74), elevated total cholesterol (elevated BP: aRR 1.27, 95% CI, 1.07-1.52; stage 1 hypertension: aRR 1.16, 95% CI, 1.00-1.35; stage 2 hypertension: aRR 1.41 95% CI, 1.16-1.71), and elevated triglycerides (elevated BP: aRR 2.24, 95% CI, 1.42-3.53; stage 1 hypertension: aRR 2.15, 95% CI, 1.46-3.17; stage 2 hypertension: aRR 3.24, 95% CI, 2.05-5.11) but not of low HDL cholesterol. CONCLUSION: The frequency of adverse cardiometabolic outcomes at 10-14 years after delivery was progressively higher among pregnant individuals with BP greater than 120/80 in the early third trimester.

A Research Agenda to Improve Outcomes in Patients with Chronic Obstructive Pulmonary Disease and Cardiovascular Disease: An Official American Thoracic Society Research Statement.

Background: Individuals with chronic obstructive pulmonary disease (COPD) are often at risk for or have comorbid cardiovascular disease and are likely to die of cardiovascular-related causes. Objectives: To prioritize a list of research topics related to the diagnosis and management of patients with COPD and comorbid cardiovascular diseases (heart failure, atherosclerotic vascular disease, and atrial fibrillation) by summarizing existing evidence and using consensus-based methods. Methods: A literature search was performed. References were reviewed by committee co-chairs. An international, multidisciplinary committee, including a patient advocate, met virtually to review evidence and identify research topics. A modified Delphi approach was used to prioritize topics in real time on the basis of their potential for advancing the field. Results: Gaps spanned the translational science spectrum from basic science to implementation: 1) disease mechanisms; 2) epidemiology; 3) subphenotyping; 4) diagnosis and management; 5) clinical trials; 6) care delivery; 7) medication access, adherence, and side effects; 8) risk factor mitigation; 9) cardiac and pulmonary rehabilitation; and 10) health equity. Seventeen experts participated, and quorum was achieved for all votes (>80%). Of 17 topics, ≥70% agreement was achieved for 12 topics after two rounds of voting. The range of summative Likert scores was -15 to 25. The highest priority was "Conduct pragmatic clinical trials with patient-centered outcomes that collect both pulmonary and cardiac data elements." Health equity was identified as an important topic that should be embedded within all research. Conclusions: We propose a prioritized research agenda with the purpose of stimulating high-impact research that will hopefully improve outcomes among people with COPD and cardiovascular disease.

"I don't think people should die young": perspectives of parents with children diagnosed with familial hypercholesterolemia.

Familial Hypercholesterolemia (FH) is an inherited disorder that significantly increases an individual's risk of developing premature cardiovascular disease (CVD). Early intervention involving lifestyle modification and medication is crucial in preventing CVD. Prior studies have shown that lipid-lowering therapy in children is safe and effective. Despite FH being a treatable and manageable condition, the condition is still underdiagnosed and undertreated. Universal lipid screening (ULS) in children has been recommended by some medical experts in the United States as a strategy to identify cases of FH and maximize the benefits of early invention. However, lipid screening is not routinely offered in pediatric clinics. This study aimed to explore parental experience with FH diagnosis in their children, identify key facilitators and barriers in children's diagnosis and care, and examine parental perspectives on ULS in children in the United States. A total of fourteen semi-structured interviews were conducted with participants recruited through the Family Heart Foundation. Thematic analysis identified three key themes: role of family history in facilitating child's FH diagnosis, barriers and challenges in post-diagnosis care, and attitudes towards ULS in children. All participants supported ULS in children and emphasized the value of early diagnosis and treatment for FH. However, a lack of guidance or referral after the child's diagnosis was a concern raised by many participants. This underscores the need for accessible and comprehensive care amid ongoing efforts to increase pediatric diagnosis of FH.

Statins for Primary Prevention of Cardiovascular Disease-With PREVENT, What's a Clinician to Do?

This Viewpoint explores decision thresholds and the evidence that informs them as well as how clinicians may respond to an updated risk estimation model, such as the Predicting Risk of cardiovascular disease EVENTs equations.

Large-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy.

Importance: There is no consensus regarding the best method for prediction of hypertensive disorders of pregnancy (HDP), including gestational hypertension and preeclampsia. Objective: To determine predictive ability in early pregnancy of large-scale proteomics for prediction of HDP. Design, Setting, and Participants: This was a nested case-control study, conducted in 2022 to 2023, using clinical data and plasma samples collected between 2010 and 2013 during the first trimester, with follow-up until pregnancy outcome. This multicenter observational study took place at 8 academic medical centers in the US. Nulliparous individuals during first-trimester clinical visits were included. Participants with HDP were selected as cases; controls were selected from those who delivered at or after 37 weeks without any HDP, preterm birth, or small-for-gestational-age infant. Age, self-reported race and ethnicity, body mass index, diabetes, health insurance, and fetal sex were available covariates. Exposures: Proteomics using an aptamer-based assay that included 6481 unique human proteins was performed on stored plasma. Covariates were used in predictive models. Main Outcomes and Measures: Prediction models were developed using the elastic net, and analyses were performed on a randomly partitioned training dataset comprising 80% of study participants, with the remaining 20% used as an independent testing dataset. Primary measure of predictive performance was area under the receiver operating characteristic curve (AUC). Results: This study included 753 HDP cases and 1097 controls with a mean (SD) age of 26.9 (5.5) years. Maternal race and ethnicity were 51 Asian (2.8%), 275 non-Hispanic Black (14.9%), 275 Hispanic (14.9%), 1161 non-Hispanic White (62.8% ), and 88 recorded as other (4.8%), which included those who did not identify according to these designations. The elastic net model, allowing for forced inclusion of prespecified covariates, was used to adjust protein-based models for clinical and demographic variables. Under this approach, no proteins were selected to augment the clinical and demographic covariates. The predictive performance of the resulting model was modest, with a training set AUC of 0.64 (95% CI, 0.61-0.67) and a test set AUC of 0.62 (95% CI, 0.56-0.68). Further adjustment for study site yielded only minimal changes in AUCs. Conclusions and Relevance: In this case-control study with detailed clinical data and stored plasma samples available in the first trimester, an aptamer-based proteomics panel did not meaningfully add to predictive utility over and above clinical and demographic factors that are routinely available.

Clusters of multidimensional exercise response patterns and estimated heart failure risk in the Framingham Heart Study.

AIMS: New tools are needed to identify heart failure (HF) risk earlier in its course. We evaluated the association of multidimensional cardiopulmonary exercise testing (CPET) phenotypes with subclinical risk markers and predicted long-term HF risk in a large community-based cohort. METHODS AND RESULTS: We studied 2532 Framingham Heart Study participants [age 53 ± 9 years, 52% women, body mass index (BMI) 28.0 ± 5.3 kg/m2, peak oxygen uptake (VO2) 21.1 ± 5.9 kg/m2 in women, 26.4 ± 6.7 kg/m2 in men] who underwent maximum effort CPET and were not taking atrioventricular nodal blocking agents. Higher peak VO2 was associated with a lower estimated HF risk score (Spearman correlation r: -0.60 in men and -0.55 in women, P < 0.0001), with an observed overlap of estimated risk across peak VO2 categories. Hierarchical clustering of 26 separate CPET phenotypes (values residualized on age, sex, and BMI to provide uniformity across these variables) identified three clusters with distinct exercise physiologies: Cluster 1-impaired oxygen kinetics; Cluster 2-impaired vascular; and Cluster 3-favourable exercise response. These clusters were similar in age, sex distribution, and BMI but displayed distinct associations with relevant subclinical phenotypes [Cluster 1-higher subcutaneous and visceral fat and lower pulmonary function; Cluster 2-higher carotid-femoral pulse wave velocity (CFPWV); and Cluster 3-lower CFPWV, C-reactive protein, fat volumes, and higher lung function; all false discovery rate < 5%]. Cluster membership provided incremental variance explained (adjusted R2 increment of 0.10 in women and men, P < 0.0001 for both) when compared with peak VO2 alone in association with predicted HF risk. CONCLUSIONS: Integrated CPET response patterns identify physiologically relevant profiles with distinct associations to subclinical phenotypes that are largely independent of standard risk factor-based assessment, which may suggest alternate pathways for prevention.

Proteomic analysis of cardiorespiratory fitness for prediction of mortality and multisystem disease risks.

Despite the wide effects of cardiorespiratory fitness (CRF) on metabolic, cardiovascular, pulmonary and neurological health, challenges in the feasibility and reproducibility of CRF measurements have impeded its use for clinical decision-making. Here we link proteomic profiles to CRF in 14,145 individuals across four international cohorts with diverse CRF ascertainment methods to establish, validate and characterize a proteomic CRF score. In a cohort of around 22,000 individuals in the UK Biobank, a proteomic CRF score was associated with a reduced risk of all-cause mortality (unadjusted hazard ratio 0.50 (95% confidence interval 0.48-0.52) per 1 s.d. increase). The proteomic CRF score was also associated with multisystem disease risk and provided risk reclassification and discrimination beyond clinical risk factors, as well as modulating high polygenic risk of certain diseases. Finally, we observed dynamicity of the proteomic CRF score in individuals who undertook a 20-week exercise training program and an association of the score with the degree of the effect of training on CRF, suggesting potential use of the score for personalization of exercise recommendations. These results indicate that population-based proteomics provides biologically relevant molecular readouts of CRF that are additive to genetic risk, potentially modifiable and clinically translatable.