Age-Stratified Sex Differences in Heart Failure With Preserved Ejection Fraction Among Adult Hospitalizations.

BACKGROUND: There is evidence that heart failure with preserved ejection fraction (HFpEF)-related hospitalizations are increasing in the United States. However, there is a lack of knowledge about HFpEF-related hospitalizations among younger adults. OBJECTIVE: The aims of this study were to perform a retrospective analysis using the Nationwide Inpatient Sample and to examine age-stratified sex differences in the prevalence, correlates, and outcomes of HFpEF-related hospitalization across the adult life span. METHOD: Using the Nationwide Inpatient Sample (2002-2014), patient and hospital characteristics were determined. Joinpoint regression was used to describe age-stratified sex differences in the annual average percent change of hospitalizations with HFpEF. Survey logistic regression was used to estimate adjusted odds ratios representing the association of sex with HFpEF-related hospitalization and in-hospital mortality. RESULTS: There were 8 599 717 HFpEF-related hospitalizations (2.43% of all hospitalizations). Women represented the majority (5 459 422 [63.48%]) of HFpEF-related adult hospitalizations, compared with men (3 140 295 [36.52%]). Compared with men younger than 50 years, women within the same age group were 6% to 28% less likely to experience HFpEF-related hospitalization. Comorbidities such as hypertensive heart disease, renal disease, hypertension, obstructive sleep apnea, atrial fibrillation, obesity, anemia, and pulmonary edema explained a greater proportion of the risk of HFpEF-related hospitalization in adults younger than 50 years than in adults 50 years or older. CONCLUSION: Before the age of 50 years, women exhibit lower HFpEF-related hospitalization than men, a pattern that reverses with advancing age. Understanding and addressing the factors contributing to these sex-specific differences can have several potential implications for improving women's cardiovascular health.

Pregnancy-associated takotsubo cardiomyopathy hospitalizations in the United States.

Takotsubo cardiomyopathy (TCM) is most common not only in postmenopausal women aged ≥50 yr but also in pregnant individuals. However, there are no national estimates on the prevalence, timing of occurrence, correlates, and outcomes of pregnancy-associated TCM. Using the Nationwide Inpatient Sample (NIS: 2016-2020), we describe rates of pregnancy-associated TCM hospitalizations among 13- to 49-yr-old pregnant individuals in the United States by selected demographic, behavioral, hospital, and clinical characteristics. Joinpoint regression was used to describe the annual average percent change of pregnancy-associated TCM hospitalizations. Survey logistic regression was used to measure the association of pregnancy-associated TCM hospitalizations with maternal outcomes. Of the 19,754,535 pregnancy-associated hospitalizations, 590 were TCM associated. The overall trend in pregnancy-associated TCM hospitalizations remained stable during the study period. The majority of TCM occurred during the postpartum, followed by antepartum and delivery-associated hospitalizations. When compared with pregnancy hospitalizations without TCM, those with TCM were more likely to be over the age of 35 yr and use tobacco and opioids. Comorbidities during TCM-associated pregnancy hospitalizations included heart failure, coronary artery disease, hemorrhagic stroke, and hypertension. After controlling for potential confounders, the odds of pregnancy-associated TCM hospitalizations were 98.7 times [adjusted odds ratio (aOR) = 98.66, 95% confidence interval (CI) 31.23-311.64] and 14.7 times (aOR = 14.75, 95% CI 9.99-21.76) higher for experiencing in-hospital mortality and a prolonged hospital stay, respectively, than those without TCM. Although rare, pregnancy-associated TCM hospitalization is more likely to occur during the postpartum period and is associated with in-hospital mortality and prolonged hospital stay.NEW & NOTEWORTHY Although rare, pregnancy-associated takotsubo cardiomyopathy hospitalizations are more likely to occur during the postpartum period and are associated with in-hospital mortality and prolonged hospital stay.

A Mother-Child Dyadic Approach to Evaluating Subclinical Cardiovascular Disease in Young Children: A Feasibility Study.

BACKGROUND: Cardiovascular (CV) risk factors can be transmitted from mothers to their children. However, it is challenging to measure and identify subclinical CV risk in young children using traditional CV risk methods and metrics. OBJECTIVE: The purpose of this study was to determine the feasibility of recruiting mother-child dyads and measuring arterial stiffness (pulse wave velocity, augmentation index/pressure), blood pressure (BP), BP circadian pattern, specifically nocturnal BP dipping, and CV health metrics in mothers and in children aged 1 to 5 years. METHODS: All BP and arterial stiffness measures were obtained using the noninvasive automated oscillometric Mobil-O-Graph device. Also measured were blood cholesterol level; glucose level; body mass index (BMI); and smoking, diet, and physical activity history. Descriptive statistics were used for assessing recruitment feasibility and Pearson correlations for mother-child associations. RESULTS: Thirty-five mother-child dyads completed the protocol. Recruitment reach was 89% and retention rate was 80%. Mothers were 34.3 ± 5.4 years old with a mean systolic BP (SBP) of 114.6 ± 9.5 mm Hg and BMI of 26.0 ± 6.5. Children were 3 ± 1.4 years old with a mean SBP of 103.3 ± 9.4 mm Hg and BMI z-scores of -0.3 ± 1.5. Arterial stiffness parameters were within normal ranges for mothers and children. Twenty-three percent of mothers did not exhibit nocturnal dipping (<10% decrease between day and nighttime SBP). Maternal SBP was positively correlated with child BMI z-scores (r = 0.42, P = .022) as well as mother-child augmentation pressure (r = 0.51, P = .010). CONCLUSIONS: Our findings support using a mother-child approach and novel noninvasive approaches to assess and target CV risk in mothers and their young children.

Pregnancy Associated Heart Failure With Preserved Ejection Fraction: Risk Factors and Maternal Morbidity.

BACKGROUND: Cardiovascular conditions are leading contributors to increasing maternal morbidity and mortality. Heart failure with preserved ejection fraction (HFpEF) results in the majority of HF admissions in women, yet its impact in pregnancy is unknown. We examined the prevalence rates, risk factors and adverse pregnancy outcomes in women with HFpEF during pregnancy-related hospitalizations in the United States. METHODS AND RESULTS: We conducted a cross-sectional analysis of pregnancy-related hospitalizations from 2002 through 2014 using the National Inpatient Sample. HFpEF cases were identified using the 428.3 International Classification of Diseases, 9th edition, Clinical Modification code. Weighting variables were used to provide national estimates, unconditional survey logistic regression to generate odds ratios and 95% confidence intervals (CI) representing adjusted associations with adverse pregnancy outcomes and Joinpoint regression to estimate temporal trends. Among 58,732,977 hospitalizations, there were 3840 HFpEF cases, an overall rate of 7 cases per 100,000 pregnancy-related hospitalizations; 56% occurred postpartum, 27% during delivery, and 17% antepartum. The temporal trend for hospitalization increased throughout the timeframe by 19.4% (95% CI 13.9-25.1). HFpEF hospitalizations were more common for Black, older, or poor women. Risk factors included hypertension (chronic hypertension and hypertensive disorders of pregnancy), anemia, obesity, diabetes, renal disease and coronary atherosclerosis; all known risk factors for HFpEF. Women with HFpEF were 2.61-6.47 times more likely to experience adverse pregnancy outcomes. CONCLUSIONS: The pregnancy-related HFpEF hospitalization prevalence has increased and is associated with adverse pregnancy outcomes. Risk factors resemble those outside pregnancy, emphasizing the need for screening and monitoring women with risk factors during pregnancy for HFpEF.

Maternal Cardiovascular Health and Adverse Childbirth Outcomes in the United States: Analysis of the Pregnancy Risk Assessment Monitoring System.

BACKGROUND: Cardiovascular-related adverse childbirth outcomes have been increasing in the United States, with widening racial and ethnic disparities. OBJECTIVE: We examined the association between maternal cardiovascular health (CVH) and childbirth outcomes among US births. METHODS: We analyzed data from the Pregnancy Risk Assessment Monitoring System. Ideal CVH was defined as a composite of 4 cardiovascular disease (CVD) risk factors: absence of a medical diagnosis of diabetes, hypertension, history of cigarette smoking before or during pregnancy, and a pre-pregnancy body mass index of 18.5 to 24.9 kg/m2. Childbirth outcomes examined were preterm birth, low birthweight, and mode of birth. Survey logistic regression was used for multivariate analyses. RESULTS: A total of 34 918 women were included in our study, and most (61%) had more than 1 CVD risk factor. Clustering of CVD risk factors was more likely among women with an annual income of less than $40 000 and not college educated and found among non-Hispanic Black, Hispanic, and American Indian/Alaska Natives (P < .001). The odds of an adverse childbirth outcome increased with each additional CVD risk factor. Hypertension was highest among non-Hispanic Black women (20%) and the strongest predictor of having a low-birth-weight infant (odds ratio [OR], 3.16; 95% confidence interval [CI], 2.86-3.48), preterm birth (OR, 2.72; 95% CI, 2.40-3.07), and cesarean birth (OR, 1.68; 95% CI, 1.52-1.87). CONCLUSION: Clustering of maternal CVD risk factors was significantly associated with adverse childbirth outcomes. Unfavorable CVH and its association with adverse childbirth outcomes were most common in women of color, calling for special attention to this group.

Twenty-Four-Hour Ambulatory Blood Pressure Monitoring Parameters During Pregnancy: A Pilot Study.

Introduction: Maternal blood pressure (BP) is a critical cardiovascular marker with profound implications for maternal and fetal well-being, particularly in the detection of hypertensive disorders during pregnancy. Although conventional clinic-based BP (CBP) measurements have traditionvally been used, monitoring 24-hour ambulatory BP (ABP) has emerged as a more reliable method for assessing BP levels and diagnosing conditions such as gestational hypertension and preeclampsia/eclampsia. This study aimed to assess the feasibility and acceptability of 24-hour ABP monitoring in pregnant women and report on various ABP parameters, including ambulatory blood pressure variability (ABPV). Method: A prospective cross-sectional study design was employed, involving 55 multipara pregnant women with and without prior adverse pregnancy outcomes (APOs). The participants underwent baseline assessments, including anthropometrics, resting CBP measurements, and the placement of ABP and actigraphy devices. Following a 24-hour period with these devices, participants shared their experiences to gauge device acceptability. Pregnancy outcomes were collected postpartum. Results: Twenty-four-hour ABP monitoring before 20 weeks of gestation is feasible for women with and without prior APOs. Although some inconvenience was noted, the majority of participants wore the ABP monitoring device for the entire 24-hour period. Pregnant women who later experienced APOs exhibited higher 24-hour ABP and ABPV values in the early stages of pregnancy. Conclusion: The study highlights the potential benefits of 24-hour ABP monitoring as a valuable tool in prenatal care, emphasizing the need for further research in this area.

Association of Parental Cardiovascular Health With Disability-Adjusted Life Years in the Offspring: Results From the Framingham Heart Study.

BACKGROUND: Disability-adjusted life years (DALYs) are used to evaluate the relative burden of diseases in populations to help set prevention or treatment priorities. The impact of parental cardiovascular health (CVH) on healthy life years lost from cardiovascular disease (CVD) in adult offspring is unknown. We compared parent-offspring CVD DALYs trends over the life course and examined the association of parental CVH with offspring CVD DALYs. METHODS: Using data from the Framingham Heart Study, 4814 offspring-mother-father trios were matched for age at selected baseline exams. CVH score was computed from the number of CVH metrics attained at recommended levels: poor (0-2), intermediate (3-4), and ideal (5-7). CVD DALYs were defined as the sum of years of life lost and years lived with CVD. Age-sex-standardized life expectancy and disability weights were derived from the actuarial life tables and Global Burden of Disease study, respectively. Multivariable-adjusted linear regression was used to investigate the association of parental CVH with offspring CVD DALYs. RESULTS: Over an equal 47-year follow-up, parents lost nearly twice the number of CVD DALYs compared to their offspring (23 234 versus 12 217). However, age-adjusted CVD DALYs were higher at younger ages and similar along the life course for parents and offspring. One-unit increase in parental CVH was associated with 5 healthy life months saved in offspring. Offspring of mothers with ideal versus poor CVH had 3 healthy life years saved (ß=-3.0 DALYs [95% CI, -5.6 to -0.3]). No statistically significant association was found between paternal CVH categories and offspring CVD DALYs. CONCLUSIONS: Higher maternal and paternal CVH were associated with increased healthy life years in offspring; however, the association was strongest between mothers and offspring. Investment in CVH promotion along the life course has the potential to reduce the burden of CVD in the current and future generation of adults.

Parental cardiovascular health predicts time to onset of cardiovascular disease in offspring.

BACKGROUND: Cardiovascular disease (CVD) risk factors are transmitted from parents to children. We prospectively examined the association between parental cardiovascular health (CVH) and time to onset of CVD in the offspring. METHODS AND RESULTS: The study consisted of a total of 5967 offspring-mother-father trios derived from the Framingham Heart Study. Cardiovascular health score was defined using the seven American Heart Association's CVH metrics attained at ideal levels: poor (0-2), intermediate (3-4), and ideal CVH (5-7). Multivariable-adjusted Cox proportional hazards regression models, Kaplan-Meier plots, and Irwin's restricted mean were used to examine the association and sex-specific differences between parental CVH and offspring's CVD-free survival. In a total of 71 974 person-years of follow-up among the offspring, 718 incident CVD events occurred. The overall CVD incidence rate was 10 per 1000 person-years [95% confidence interval (CI) 9.3-10.7]. Offspring of mothers with ideal CVH lived 9 more years free of CVD than offspring of mothers with poor CVH (P < 0.001). Maternal poor CVH was associated with twice as high hazard of early onset of CVD compared with maternal ideal CVH (adjusted Hazard Ratio 2.09, 95% CI 1.50-2.92). No statistically significant association was observed in the hazards of CVD-free survival by paternal CVH categories. CONCLUSIONS: We found that offspring of parents with ideal CVH had a greater CVD-free survival. Maternal CVH was a more robust predictor of offspring's CVD-free survival than paternal CVH, underscoring the need for clinical and policy interventions that involve mothers to break the intergenerational cycle of CVD-related morbidity and mortality.

Temporal Trends and Familial Clustering of Ideal Cardiovascular Health in Parents and Offspring Over the Life Course: An Investigation Using The Framingham Heart Study.

Background Evidence suggests familial aggregation and intergenerational associations for individual cardiovascular health (CVH) metrics. Over a 53-year life course, we examined trends and association of CVH between parents and their offspring at similar mean ages. Methods and Results We conducted a series of cross-sectional analyses of the FHS (Framingham Heart Study). Parent-offspring pairs were assessed at exams where their mean age distributions were similar. Ideal CVH was defined using 5 CVH metrics: blood pressure (<120/<80 mm Hg), fasting blood glucose (<100 mg/dL), blood cholesterol (<200 mg/dL), body mass index (<25 kg/m2), and non-smoking. Joinpoint regression and Chi-squared test were used to assess linear trend; proportional-odds regression was used to examine the association between parents and offspring CVH. A total of 2637 parents were paired with 3119 biological offspring throughout 6 exam cycles. Similar patterns of declining ideal CVH with advancing age were observed in parents and offspring. Small proportions of parents (4%) and offspring (17%) achieved 5 CVH metrics at ideal levels (P-trend <0.001). Offspring of parents with poor CVH had more than twice the odds of having poor CVH (pooled odds ratio, 2.59; 95% CI, 1.98-3.40). Over time, elevated glucose levels and obesity doubled among the offspring and were the main drivers for declining ideal CVH trends. Conclusions Parental CVH was positively associated with offspring CVH. However, intergenerational CVH gains from declining smoking rates, cholesterol, and blood pressure were offset by rising offspring obesity and elevated glucose levels. This suggests an intergenerational phenotypic shift of risk factors and the need for a family-centered approach to cardiovascular care.

A Review of Methodological Approaches for Developing Diagnostic Algorithms for Diabetes Screening.

BACKGROUND AND PURPOSE: Diagnostic algorithms are invaluable tools for screening diabetes. This review aimed to evaluate and identify the most robust methodological approaches for developing diagnostic algorithms for screening diabetes. METHODS: Following a literature search, methodological quality of algorithm development studies was evaluated using the TRIPOD guidelines (Collins, Reitsma, Altman, & Moons, 2015). RESULTS: Methods used for developing the algorithms included logistic regression models, classification and regression trees, Random Forest and TreeNet, Artificial Neural Networks, and Naïve Bayes. Methodological issues for algorithm development studies were related to handling of missing values, reporting recruitment methods, categorization of continuous variables, and statistical controls. CONCLUSIONS: Most studies exhibited critical methodological flaws and poor adherence to reporting standards. Diabetes screening algorithms can easily be availed electronically and utilized by nurses at minimal cost even in underserved areas.