Trends in cardiovascular risk factor prevalence, treatment, and control among US adolescents aged 12 to 19 years, 2001 to March 2020.

BACKGROUND: Early-life cardiovascular risk factors (CVRFs) are known to be associated with target organ damage during adolescence and premature cardiovascular morbidity and mortality during adulthood. However, contemporary data describing whether the prevalence of CVRFs and treatment and control rates have changed are limited. This study aimed to examine the temporal trends in the prevalence, treatment, and control of CVRFs among US adolescents over the past 2 decades. METHODS: This is a serial cross-sectional study using data from nine National Health and Nutrition Examination Survey cycles (January 2001-March 2020). US adolescents (aged 12 to 19 years) with information regarding CVRFs (including hypertension, elevated blood pressure [BP], diabetes, prediabetes, hyperlipidemia, obesity, overweight, cigarette use, inactive physical activity, and poor diet quality) were included. Age-adjusted trends in CVRF prevalence, treatment, and control were examined. Joinpoint regression analysis was performed to estimate changes in the prevalence, treatment, and control over time. The variation by sociodemographic characteristics were also described. RESULTS: A total of 15,155 US adolescents aged 12 to 19 years (representing ≈ 32.4 million people) were included. From 2001 to March 2020, there was an increase in the prevalence of prediabetes (from 12.5% [95% confidence interval (CI), 10.2%-14.9%] to 37.6% [95% CI, 29.1%-46.2%]) and overweight/obesity (from 21.1% [95% CI, 19.3%-22.8%] to 24.8% [95% CI, 21.4%-28.2%]; from 16.0% [95% CI, 14.1%-17.9%] to 20.3% [95% CI, 17.9%-22.7%]; respectively), no improvement in the prevalence of elevated BP (from 10.4% [95% CI, 8.9%-11.8%] to 11.0% [95% CI, 8.7%-13.4%]), diabetes (from 0.7% [95% CI, 0.2%-1.2%] to 1.2% [95% CI, 0.3%-2.2%]), and poor diet quality (from 76.1% [95% CI, 74.0%-78.2%] to 71.7% [95% CI, 68.5%-74.9%]), and a decrease in the prevalence of hypertension (from 8.1% [95% CI, 6.9%-9.4%] to 5.5% [95% CI, 3.7%-7.3%]), hyperlipidemia (from 34.2% [95% CI, 30.9%-37.5%] to 22.8% [95% CI, 18.7%-26.8%]), cigarette use (from 18.0% [95% CI, 15.7%-20.3%] to 3.5% [95% CI, 2.0%-5.0%]), and inactive physical activity (from 83.0% [95% CI, 80.7%-85.3%] to 9.5% [95% CI, 4.2%-14.8%]). Sex and race/ethnicity affected the evolution of CVRF prevalence differently. Whilst treatment rates for hypertension and diabetes did not improve significantly (from 9.6% [95% CI, 3.5%-15.8%] to 6.0% [95% CI, 1.4%-10.6%]; from 51.0% [95% CI, 23.3%-78.7%] to 26.5% [95% CI, 0.0%-54.7%]; respectively), BP control was relatively stable (from 75.7% [95% CI, 56.8%-94.7%] to 73.5% [95% CI, 40.3%-100.0%]), while glycemic control improved to a certain extent, although it remained suboptimal (from 11.8% [95% CI, 0.0%-31.5%] to 62.7% [95% CI, 62.7%-62.7%]). CONCLUSIONS: From 2001 to March 2020, although prediabetes and overweight/obesity increased, hypertension, hyperlipidemia, cigarette use, and inactive physical activity decreased among US adolescents aged 12 to 19 years, whereas elevated BP, diabetes, and poor diet quality remained unchanged. There were disparities in CVRF prevalence and trends across sociodemographic subpopulations. While treatment and control rates for hypertension and diabetes plateaued, BP control were stable, and improved glycemic control was observed.

Construction of risk prediction model for hyponatremia in patients with acute decompensated heart failure.

BACKGROUND: Patients with Heart failure (HF) commonly have a water-electrolyte imbalance due to various reasons and mechanisms, and hyponatremia is one of the most common types. However, currently, there are very few local studies on hyponatremia risk assessment in patients with acute decompensated heart failure (ADHF), and there is a lack of specific screening tools. The aim of this study is to identify a prediction model of hyponatremia in patients with acute decompensated heart failure (ADHF) and verify the prediction effect of the model. METHODS: A total of 532 patients with ADHF were enrolled from March 2014 to December 2019. Univariate and multivariate logistic regression analyses were performed to investigate the independently associated risk factors of hyponatremia in patients with ADHF. The prediction model of hyponatremia in patients with ADHF was constructed by R software, and validation of the model was performed using the area under the receiver operating characteristic curve (AUC) and calibration curves. RESULTS: A total of 65 patients (12.2%) had hyponatremia in patients with ADHF. Multivariate logistic regression analysis demonstrated that NYHA cardiac function classification (NYHA III vs II, OR = 12.31, NYHA IV vs II, OR = 11.55), systolic blood pressure (OR = 0.978), serum urea nitrogen (OR = 1.046) and creatinine (OR = 1.006) were five independent prognostic factors for hyponatremia in patients with ADHF. The AUC was 0.757; The calibration curve was near the ideal curve, which showed that the model can accurately predict the occurrence of hyponatremia in patients with ADHF. CONCLUSIONS: The prediction model constructed in our study has good discrimination and accuracy and can be used to predict the occurrence of hyponatremia in patients with ADHF.

Low lean mass with obesity in older adults with hypertension: prevalence and association with mortality rate.

BACKGROUND: The influence of sarcopenic obesity (SO) on overall survival in older adults with hypertension has not been addressed. The aim of this study was to investigate the prevalence and mortality predictive value of various body composition phenotypes, focusing mainly on SO, in older adults with hypertension. METHODS: We included 1105 hypertensive patients aged ≥ 60 years from the National Health and Nutrition Examination Survey 1999-2004. Sarcopenia was broadly defined based on low lean mass (LLM; as measured by dual-energy X-ray absorptiometry), and was defined using appendicular lean mass (ALM) divided by height squared (ALM/height2), weight (ALM/weight), and body mass index (BMI; ALM/BMI), respectively. Obesity was defined as BMI ≥ 30 kg/m2, body fat percentage ≥ 30/42%, or waist circumference ≥ 102/88 cm. The prevalence of LLM with obesity was estimated according to each ALM index (ALMI). Multivariable Cox regression analysis and sensitivity analysis were used to examine the association between various body composition phenotypes and all-cause mortality. RESULTS: In older adults with hypertension, the prevalence of LLM with obesity by the ALM/height2 index (9.8%) was lower relative to the ALM/weight (11.7%) and ALM/BMI indexes (19.6%). After a median follow-up of 15.4 years, 642 deaths occurred. In the fully adjusted models, LLM with obesity was significantly associated with a higher risk of all-cause mortality (hazard ratio [HR] 1.69, 95% confidence interval [CI] 1.14-2.49, P = 0.008; HR 1.48, 95% CI 1.04-2.10, P = 0.028; HR 1.30, 95% CI 1.02-1.66, P = 0.037; respectively) compared with the normal body phenotype, with no statistical differences found in individuals with LLM or obesity alone. Sensitivity analysis confirmed the robustness of the results. CONCLUSIONS: The prevalence of LLM with obesity markedly differed in older adults with hypertension according to the 3 different ALMIs, varying from 9.8%, 11.7%, to 19.6%. Patients with both LLM and obesity had a higher risk of all-cause mortality. Further large, prospective, cohort studies are warranted to validate these findings and uncover underlying mechanisms.

Negative association between triglyceride glucose index and BMI-adjusted skeletal muscle mass index in hypertensive adults.

BACKGROUND: The triglyceride glucose (TyG) index, an indicator of insulin resistance, is often associated with adverse outcomes in various cardiovascular diseases, while hypertension is associated with an increased risk of cardiovascular diseases. As the loss of muscle mass in people with hypertension is poorly understood, the current study aimed to explore the relationship between TyG index and muscle mass in hypertensive population. METHODS: We analyzed data from hypertensive adult participants in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. The TyG index and body mass index (BMI)-adjusted skeletal muscle mass index (SMI) were calculated and the relationship between the two was evaluated using multivariable linear regression and restricted cubic spline (RCS) regression models. RESULTS: A total of 1633 participants in the dataset were included for the final analysis. In the multivariable regression analysis, the adjusted ß of SMI with a 95% confidence interval (CI) for the highest TyG index quartile was - 5.27 (- 9.79 to - 0.75), compared with the lowest quartile. A negative linear relationship between TyG index and SMI was plotted by RCS regression (nonlinear P = 0.128). Stratified models of non-smoking women of different ages also demonstrated that SMI decreased as TyG index increased (all P for trend < 0.05). CONCLUSION: This linear and negative correlation between TyG index and SMI in hypertensive patients suggests that insulin resistance adversely affects muscle mass.

Triglyceride glucose index was linearly associated with abdominal aortic calcification based on NHANES 2013-2014.

PURPOSE: To study the relationship between the TyG index and the risk of AAC. METHODS: We enrolled 1,486 participants from the National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated in the log-transformed of triglycerides multipled by glucose, and the presence of AAC was diagnosed as AAC score above than 0. RESULTS: Our suggested found that TyG level was positively correlated with the presence of AAC and log-transformed AAC score. After adjusted for other variables, comparing with the lowest quartile of TyG index, the highest quartile of TyG level was significantly associated with the presence of AAC (OR 2.12, 95%CI 1.05-4.35, p = 0.038) and severe AAC (OR 2.12, 95%CI 1.05-4.35, p = 0.038). CONCLUSIONS: TyG index was significantly associated with the risk of AAC and severe AAC, which could be a marker in clinical practice.

Prognostic value of integrative analysis of electrical and mechanical dyssynchrony in patients with acute heart failure.

BACKGROUND: Left ventricular mechanical dyssynchrony has been shown to provide significant clinical values for chronic heart failure (HF) and cardiac resynchronization therapy (CRT). The purpose of this study was to evaluate whether electrical dyssynchrony combined with mechanical dyssynchrony has an incremental benefit over electrical dyssynchrony or mechanical dyssynchrony alone to predict clinical events in patients with acute heart failure (AHF). METHODS: Ninety-six AHF patients who received standard 12-lead ECG, gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI), and echocardiography were enrolled. Thirty-two normal subjects were collected as the control group to get the normal database of mechanical dyssynchrony. The end point is the composite of all-cause death and heart transplantation. Electrical dyssynchrony was defined as QRS duration > 120 ms. Mechanical dyssynchrony was defined as > mean + 2 × SD phase standard deviation (PSD) or phase bandwidth (PBW) based on our normal database. RESULTS: During the follow-up of 28 ± 10 months, complete data were obtained in 92 patients. 26 (28.3%) Patients who reached the end point were classified into the event group. There were no significant differences in PSD or PBW between the event and non-event groups. However, PBW > 77.76° was independently associated with the end point in the univariate and multivariate analysis (hazard ratio 2.92, 95% confidence interval 1.00-8.47, P = .049; hazard ratio 3.89, 95% confidence interval 1.01-14.97, P = .048). The Kaplan-Meier curve with a log-rank test showed that the end point rate was significantly higher in the patients with PBW > 77.76° (log-rank P = .039). Moreover, the ROC curve analysis showed that the area under the curve (AUC) for predicting end point events by the integrative analysis of QRS > 120 ms and PBW > 77.76° was significantly improved compared to QRS duration > 120 ms (AUC: 0.75 vs 0.68, P = .001) or PBW > 77.76° (AUC: 0.75 vs 0.62, P = .049), respectively. The model of combined electrical and mechanical dyssynchrony yielded a further significantly improved risk prediction for adverse events in the global χ2. CONCLUSIONS: The combination of QRS duration > 120 ms and PBW > 77.76° was an independent predictor of all-cause death and heart transplantation in AHF patients. The integrative analysis of electrical and mechanical dyssynchrony provides incremental prognostic value for clinical use.

Prognostic value of the modified model for end-stage liver disease (MELD) score including albumin in acute heart failure.

BACKGROUND: Liver and renal function evaluated by the model for end-stage liver disease (MELD) score, the MELD excluding the international normalized ratio (MELD_XI) score and the MELD including sodium (MELD_sodium) score have been considered predictors of adverse events for patients with acute heart failure (AHF). However, the prognostic value of the MELD including albumin (MELD_albumin) score in patients with AHF has not been assessed. METHODS: A total of 466 patients with AHF were prospectively evaluated. We compared the accuracy of the 4 MELD score formulas using the time-dependent receiver operating characteristic (ROC) curve and corresponding areas under the curve (AUC). RESULTS: During a median follow-up period of 34 months, 196 deaths occurred. In the fully adjusted Cox regression model, standardized hazard ratios with 95% confidence interval expressing the risk of all-cause mortality were 1.22 (1.06-1.40), 1.20 (1.04-1.39), 1.23 (1.06-1.42) and 1.21 (1.05-1.41) for MELD, MELD_XI, MELD_sodium and MELD_albumin scores, respectively. The MELD_albumin score showed the best prognostic accuracy (AUC = 0.658) for the prediction of long-term all-cause mortality, followed by the MELD_sodium score (AUC = 0.590), the MELD score (AUC = 0.580), and the MELD_XI score (AUC = 0.544); the MELD_albumin score performs significantly more accurate than MELD and MELD_XI score for predicting the risk of all-cause mortality. Considering reclassification, MELD_albumin score increased the net reclassification improvement over and beyond MELD (13.1%, P = 0.003), MELD_XI (14.8%, P = 0.002), and MELD_sodium (11.9%, P = 0.006) scores for all-cause mortality. CONCLUSIONS: The MELD_albumin score increases risk stratification of all-cause mortality over and beyond the MELD score and the other modified MELD scores in patients with acute heart failure.

Association of urinary phthalate metabolites with cardiovascular disease among the general adult population.

OBJECTIVE: This study aims to explore the relationship between urinary phthalate metabolites and total and specific cardiovascular disease (CVD) among the general adult population. METHODS: This cross-sectional study analyzed 11 urinary phthalates in the general population from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) (n = 10,427). Multivariate logistic regression and weighted quantile sum (WQS) regression were applied to examine the relationship between phthalate metabolites and mixtures and the prevalence rates of total and specific CVD. RESULTS: Compared to the lowest quartile, mono-isobutyl phthalate (MiBP) (OR 1.37; 95% CI 1.03-1.83, P for trend = 0.032) and mono-benzyl phthalate (MBzP) (OR 1.44; 95% CI 1.10-1.88, P for trend = 0.013) in the highest quartile were independently associated with increased total CVD. The WQS index of phthalate mixtures was independently correlated with total CVD (adjusted OR 1.17; 95% CI 1.01-1.36, P = 0.039), and MBzP (weight = 0.392) was the most heavily weighted component. In addition, restricted cubic spline regression demonstrated that the MBzP level had a positive correlation and linear association with total CVD (P for nonlinearity = 0.182). CONCLUSIONS: Our findings suggest that high phthalate mixture levels are associated with an increased prevalence of CVD, with the greatest influence coming from MBzP.

Association of acrylamide hemoglobin biomarkers with serum lipid levels in general US population: NHANES 2013-2016.

The aim of present study was to investigate the association of acrylamide (AA) hemoglobin biomarkers and serum lipids level in a general population. Data set of our study were extracted from an open database - National Health and Nutrition Examination Surveys (NHANES) 2013-2016. In total 2899 participants were enrolled. The associations between AA hemoglobin parameters [hemoglobin adducts of AA (HbAA) and glycidamide (HbGA), total of HbAA and HbGA (HbAA+HbGA), and ratio of HbGA to HbAA (HbGA/HbAA)] and lipid levels [total cholesterol (TC), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C)] were analyzed. Generalized linear models and restricted cubic spline plots were conducted to address the relationship between lipid levels and acrylamide markers. Comparing the lowest quantiles, HbGA and HbGA/HbAA both remained a significant trend regardless of lipid types. Analyses using a generalized linear model with restricted cubic spline and validated with regression models, all 4 AA parameters demonstrated a linear association and positive correlation with TG. Furthermore, there were also opposite nonlinear association between HbGA/HbAA and LDL-C (positive correlation), and HbGA/HbAA and HDL-C (negative correlation). Further analysis with threshold effect analysis or regression analysis showed HbGA and HbGA/HbAA remained significant association with all TC, TG, LDL-C, and HDL-C. The hemoglobin adducts AA parameters as long-term exposure biomarkers are associated with the atherosclerotic lipid changes in a population of US adults.

The Prognosis Role of AST/ALT (De Ritis) Ratio in Patients with Adult Secondary Hemophagocytic Lymphohistiocytosis.

PURPOSE: Secondary hemophagocytic lymphohistiocytosis (sHLH) accompanied by liver involvement, characterized by hepatomegaly and increased liver enzymes, is usually associated with elevated mortality. However, the magnitude of these associations remains unknown. Our objective was to assess the associations of the aspartate transaminase/alanine transaminase (AST/ALT, De Ritis) ratio with overall survival among adult patients with sHLH. METHODS: A retrospective analysis was performed on 289 patients aged 18-86 years with complete serum transaminase data at diagnosis of sHLH. Multivariate Cox regression analyses and restricted cubic splines were conducted to address the association between the De Ritis ratio and the risk of mortality. RESULTS: The median De Ritis ratio for the entire study population was 1.34 (IQR: 0.84-2.29). After a median follow-up time of 60 (range 17-227.5) days, 205 deaths occurred. After fully adjusting for hepatomegaly, albumin, fibrinogen, EBV, ferritin, etiologies, and treatment strategies, the adjusted hazard ratios (HRs) with corresponding confidence intervals (CIs) of mortality for the 2 st tertile and 3 st tertile were 1.2 (0.8-1.7) and 1.6 (1.1-2.2), respectively (P < 0.01 for trends). Restricted cubic spline confirmed a linear association between the log2-transformed De Ritis ratio and the risk of mortality. Moreover, this trend persisted in subgroups with MHLH, hyperferrinaemia, sCD25 ≤ 20,000 ng/L, patients without EBV infection, and those received treatment. CONCLUSIONS: The De Ritis ratio is a strong and independent predictor for overall survival in patients with sHLH. As a readily available biomarker in routine clinical practice, it is used to identify patients with sHLH with inferior overall survival.

Association of aldehyde exposure with cardiovascular disease.

The effect of aldehyde exposure on the cardiovascular system remains unclear. The objective of this study was to determine whether aldehyde exposure is associated with the prevalence of cardiovascular disease (CVD). We analyzed associations between aldehydes and CVD using data from 1962 adult participants in the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2014. Multivariable logistic regression and restricted cubic spline models were used to examine the association between aldehydes and CVD. The prevalence of CVD was 10.3%. After adjusting for confounding factors, including age, sex, education level, race, diabetes mellitus, smoking, alcohol use, hypertension, body mass index, the poverty-income ratio, physical activity, energy intake, high-density cholesterol (HDL) and low-density cholesterol (LDL), compared with the lowest quartiles, the odds ratios (ORs) with 95% confidence intervals (CIs) for CVD across the quartiles were 0.52 (0.31, 0.87), 0.73 (0.43, 1.22), and 1.13 (0.68, 1.86) for benzaldehyde and 1.48 (0.87, 2.52), 1.70 (1.01, 2.92), and 2.13 (1.19, 3.86) for isopentanaldehyde. There was no significant association between other aldehydes and CVD. The restricted cubic spline plot showed a J-curve relationship between benzaldehyde and CVD. The inflection point for the curve was found at a benzaldehyde level of 0.98 ng/ml. The ORs (95% CIs) for CVD were 0.51 (0.31, 0.86) and 1.58 (1.15, 2.17) on the left and right sides of the inflection point, respectively. Our results demonstrate a J-curve relationship between benzaldehyde and CVD. Isopentanaldehyde is positively associated with CVD. Further study is warranted to verify this association and to elucidate its underlying mechanisms.

Association of aldehydes exposure with obesity in adults.

Environmental pollutants may play a role in the aetiology of obesity beyond conventional factors. The associations between environmental exposure to aldehydes and obesity remain unclear. The objective of this study is to determine whether aldehyde exposure is associated with obesity in adults. We analysed data from 1977 participants in the National Health and Nutrition Examination Survey (NHANES) 2013-2014 aged ≥ 18 years. Obesity was assessed through body mass index (BMI) measurements. Generalized linear regression and restricted cubic spline models were analysed to assess the association between aldehydes and outcomes. After multivariable adjustment, isopentanaldehyde was inversely associated with obesity, while no significant association was observed between any other aldehydes and obesity. Compared with the lowest quartile, the adjusted odds ratio (OR) of obesity with a 95% confidence interval (CI) for the highest quartile was 0.50 (0.35, 0.70) for isopentanaldehyde. Analyses using a restricted cubic spline indicated that the association between isopentanaldehyde and obesity is nonlinear. Threshold effect analysis demonstrated that the inflection point of isopentanaldehyde was 1.26 ng/ml. Each 1-fold increase in isopentanaldehyde exhibited an 18% decrease in the odds of obesity (OR 0.82, 95% CI 0.79-1.09) on the left side of the inflection point and an 81% decrease (OR 0.19, 95% CI 0.08-0.45) on the right side of the inflection point. Similar associations were also observed among isopentanaldehyde and abdominal obesity, BMI, and waist circumference. These cross-sectional results show a nonlinear and inverse association between isopentanaldehyde and obesity.

Association between perfluoroalkyl acids and the prevalence of hypertension among US adults.

The nonlinear associations of serum perfluoroalkyl acids (PFAAs) with hypertension and blood pressure have not been addressed. Cross-sectional data from 6967 adults (age ≥ 20 years) from the 2003-2012 National Health and Nutrition Examination Survey (NHANES) were analyzed. Hypertension was defined as an average systolic blood pressure above 140 mmHg, an average diastolic blood pressure above 90 mmHg or self-reported use of prescribed medicine for diagnosed hypertension. After multivariable adjustment, compared with the lowest tertile, the odds ratios (ORs) with 95% confidence intervals (CIs) of hypertension for the highest tertile of perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid (PFHxS) and perfluorononanoic acid (PFNA) were 1.32 (1.13, 1.54), 1.14 (0.97, 1.34), 1.16 (0.99, 1.36) and 1.18 (1.01, 1.37), respectively. PFOA and PFNA displayed a J-shaped relationship with the prevalence of hypertension. Furthermore, threshold effect analysis showed that the inflection point of PFOA was 1.80 ng/ml. Each 10-fold change in PFOA exhibited a 44% decrease (OR 0.56, 95%CI (0.32, 0.99)) in the odds of hypertension on the left side of the inflection point, and an 85% increase (OR 1.85, 95%CI (1.34, 2.54)) on the right side of the inflection point. Threshold effect analysis also indicated that the inflection point of PFNA was 0.53 ng/ml. Each 10-fold change in PFNA exhibited a 60% decrease (OR 0.40, 95%CI (0.18, 0.85)) in the odds of hypertension on the left side of the inflection point, and an 85% increase (OR 1.64, 95%CI (1.25, 2.14)) on the right side of the inflection point. These cross-sectional data showed a J-shaped association between perfluoroalkyl acids and hypertension.

The therapeutic effects of percutaneous kyphoplasty on osteoporotic vertebral compression fractures with or without intravertebral cleft.

PURPOSE: The purpose of this study was to investigate the clinical effects of percutaneous kyphoplasty (PKP) on osteoporotic vertebral compression fractures (OVCFs) with or without intravertebral cleft (IVC). METHODS: From 2010 to 2016, 309 OVCFs patients (43 males, 266 females) treated with PKP were included in our study. All patients were divided into no intravertebral cleft (NIVC) group and intravertebral cleft (IVC) group according to pre-operative magnetic resonance imaging. Anterior wall height (AWH), posterior wall height (PWH), and kyphotic angle (KA) of the injured vertebral body were evaluated pre-operatively, post-operatively, and at final follow-up. RESULTS: All patients were followed up for 12~34 months, with an average of 16.2 months. The incidence of IVC was associated with older age and lower bone mineral density (BMD). The anterior wall, posterior wall, and kyphotic angle of vertebral bodies of patients from both groups were significantly improved immediately after surgery. The visual analogue scale (VAS) and Oswestry Disability Index (ODI) also improved significantly without significant difference between the two groups. At the final follow-up, compared to that immediately after surgery, the anterior wall height decreased and kyphotic angle increased significantly in both groups. Compared to the NIVC group, the kyphotic angle in the IVC group increased more significantly within 1 year after surgery. The volume of bone cement injected in the IVC group was larger and consequent. The IVC group had higher incidence of bone cement leakage than the NIVC group, but there was no statistic difference between two groups. CONCLUSION: Our results suggested that unilateral PKP was a safe and reliable treatment for OVCFs with IVC. However, the IVC group had higher incidence of bone cement leakage during surgery and more severe KA rebound during the follow-up period. Therefore, to reduce the incidence of bone cement leakage, it is very important to evaluate the pre-operative imaging and inject the cement carefully and repetitiously. When cement leakages are found, injection should be stopped immediately. Longer rehabilitation interventions such as wearing suitable brace, doing exercise to strengthen low-back muscle, and replacing bending with squatting in ordinary living are essential to prevent KA rebound in patients with OVCFs with IVC. However, extended follow-up may be necessary for patients with OVCFs with IVC.

Association of flavonoid intake with coronary artery disease risk in the older population based on the National Health and Nutrition Examination Survey.

We investigated the association between flavonoid intake and coronary artery disease (CAD) risk in older adults. Data were extracted from the National Health and Nutrition Examination Survey (age ≥ 70 years; 2007-2010 and 2017-2018; n = 2 417). The total flavonoid and flavonoid subclass intake was calculated using validated food frequency questionnaires. The association between flavonoid intake and CAD risk was examined using generalized linear models with restricted cubic spline models. After multivariate adjustment, anthocyanin intake was positively associated with CAD risk; no significant associations were observed between other flavonoid subcategories and endpoint outcomes. Anthocyanins exhibited a non-linear association with CAD risk, and threshold effect analysis showed an inflection point of 15.8 mg/day for anthocyanins. Per unit increase in anthocyanins, the odds of CAD on the left of the inflection point decreased by 2%, while the odds on the right increased by 35.8%. Excessive flavonoid intake may increase CAD risk in the older population.

Deep learning prediction of survival in patients with heart failure using chest radiographs.

Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learning survival prediction models using chest radiographs in patients with heart failure is currently unclear. The aim of our study is to develop and validate a deep learning survival prediction model using chest X-ray (DLSPCXR) in patients with HF. The study retrospectively enrolled a cohort of 353 patients with HF who underwent chest X-ray (CXR) at our institution between March 2012 and March 2017. The dataset was randomly divided into training (n = 247) and validation (n = 106) datasets. Univariate and multivariate Cox analysis were conducted on the training dataset to develop clinical and imaging survival prediction models. The DLSPCXR was trained and the selected clinical parameters were incorporated into DLSPCXR to establish a new model called DLSPinteg. Discrimination performance was evaluated using the time-dependent area under the receiver operating characteristic curves (TD AUC) at 1, 3, and 5-years survival. Delong's test was employed for the comparison of differences between two AUCs of different models. The risk-discrimination capability of the optimal model was evaluated by the Kaplan-Meier curve. In multivariable Cox analysis, older age, higher N-terminal pro-B-type natriuretic peptide (NT-ProBNP), systolic pulmonary artery pressure (sPAP) > 50 mmHg, New York Heart Association (NYHA) functional class III-IV and cardiothoracic ratio (CTR) ≥ 0.62 in CXR were independent predictors of poor prognosis in patients with HF. Based on the receiver operating characteristic (ROC) curve analysis, DLSPCXR had better performance at predicting 5-year survival than the imaging Cox model in the validation cohort (AUC: 0.757 vs. 0.561, P = 0.01). DLSPinteg as the optimal model outperforms the clinical Cox model (AUC: 0.826 vs. 0.633, P = 0.03), imaging Cox model (AUC: 0.826 vs. 0.555, P < 0.001), and DLSPCXR (AUC: 0.826 vs. 0.767, P = 0.06). Deep learning models using chest radiographs can predict survival in patients with heart failure with acceptable accuracy.

Development and validation of a diagnostic nomogram in pulmonary hypertension due to left heart disease.

BACKGROUND: Pulmonary hypertension (pH) due to left heart disease (pH-LHD) is the most common form of pH in clinical practice. OBJECTIVES: The purpose of the study is to develop a diagnostic nomogram predictive model combining conventional noninvasive examination and detection indicators. METHODS: Our study retrospectively included 361 patients with left heart disease (LHD) who underwent right heart catheterization between 2013 and 2020. All patients were randomly divided into a training cohort (253, 70 %) and a validation cohort (108, 30 %). pH was defined as resting mean pulmonary arterial pressure (mPAP) ≥25 mmHg measured by RHC examination. Data dimension reduction and feature selection were used by Lasso regression model. The nomogram was constructed based on multivariable logistic regression. RESULTS: A total of 175 patients with LHD were diagnosed with pH during their hospitalization, representing 48.5 % of the cohort. The mean age of the overall group was 55.6 years, with 76.7 % being male patients. Excessive resting heart rate, elevated New York Heart Association functional class, increased red blood cell distribution width, right ventricular end-diastolic diameter, and pulmonary artery systolic pressure measured by echocardiography were independently associated with the prevalence of pH-LHD. The inclusion of these 5 variables in the nomogram showed good discrimination (AUC = 0.866 [95 % CI, 0.820-0.911]) and optimal calibration (Hosmer-Lemeshow test, P = 0.791) for the validation cohort. CONCLUSIONS: The noninvasive nomogram of pH-LHD developed in this study has excellent diagnostic value and clinical applicability, and can more accurately evaluate the presence risk of pH in patients with LHD.

Comparison of arterial stiffness indices measured by pulse wave velocity and pulse wave analysis for predicting cardiovascular and all-cause mortality in a Chinese population.

Arterial stiffness measured by pulse wave velocity and pulse wave analysis has been widely studied in different populations in terms of its correlation with cardiovascular events and all-cause mortality. It remains unknown which arterial stiffness index is better for risk stratification in the general population. We included 4129 participants from Gaoyou County, Jiangsu Province, China, with a median follow-up of 11 years. The primary endpoint was cardiovascular mortality, and the secondary endpoint was all-cause mortality. Harrell's C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) based on the Cox proportional hazards regression model were evaluated to assess predictive discrimination and accuracy. The associations between the 4 indices and cardiovascular mortality remained significant after adjusting for the Framingham Risk Score (FRS) and/or associated risk factors. Considering reclassification based on the newly integrated models (FRS model combined with the 4 indices), NRI for cardiovascular mortality showed that haPWV and baPWV had more significant improvement in reclassification compared with C1 and C2 [NRI with 95% CI: haPWV 0.410 (0.293, 0.523); baPWV 0.447 (0.330, 0.553); C1 0.312 (0.182, 0.454); C2 0.328 (0.159, 0.463); all P < 0.05]. This study showed that pulse wave velocity (haPWV and baPWV) provides better discrimination of long-term risk than arterial elasticity indices (C1 and C2) in the general population.

Correlation of ventricle epicardial fat volume and triglyceride-glucose index in patients with chronic heart failure.

To explore the association of ventricle epicardial fat volume (EFV) calculated by cardiac magnetic resonance (CMR) and the insulin resistance indicator of triglyceride-glucose (TyG) index in patients with chronic HF (CHF), this retrospective cohort study included adult CHF patients with confirmed diagnosis of heart failure from January 2018 to December 2020. All patients underwent 3.0T CMR, and EFV were measured under short-axis cine. Spearman correlation, multivariate linear regression, and restricted cubic spline (RCS) regression were used to analyze their association. There were 516 patients with CHF, of whom 69.8% were male. Median EFV was 57.14mL and mean TyG index was 8.48. Spearman correlation analysis showed that TyG index was significantly correlated with the EFV in CHF patients (r = 0.247, P < 0.001). Further analysis showed that TyG index levels were significantly associated with EFV as both continuous variables (Unstandardized ß = 6.556, P < 0.001) and across the increasing quartiles (ß = 7.50, 95% CI [1.41, 13.59], P < 0.05). RCS demonstrated there were a positive trend and linear association between EFV and TyG index in CHF patients (P for nonliearity = 0.941). In patients with CHF, the TyG index was positively and linearly associated with the EFV, which supports the metabolic roles of epicardial adipose tissue regarding insulin resistance.