Association of serum five heavy metals level with all-cause and cause-specific mortality: a large population-based cohort study.

The study aimed to explore the association between five heavy metals exposure (Cadmium, Lead, Mercury, Manganese, and Selenium) and mortality [all-cause, cardiovascular disease (CVD), and cancer-related]. We integrated the data into the National Health and Nutrition Examination Survey from 2011 to 2018 years. A total of 16,092 participants were recruited. The link between heavy metals exposure and mortality was analyzed by constructing a restricted cubic spline (RCS) curve, Cox proportional hazard regression model, and subgroup analysis. The RCS curve was used to show a positive linear relationship between Cadmium, Lead, and all-cause mortality. In contrast, there was a negative linear correlation between Mercury and all-cause mortality. Additionally, Manganese and Selenium also had a J-shaped and L-shaped link with all-cause mortality. The positive linear, positive linear, negative liner, J-shaped, and L-shaped relationships were observed for Cadmium, Lead, Mercury, Manganese, and Selenium and CVD mortality, respectively. Cadmium, Lead, Mercury, and Selenium were observed to exhibit positive linear, U-shaped, negative linear, and L-shaped relationships with cancer-related mortality, respectively. There was an increase and then a decrease in the link between Manganese and cancer-related morality. This study revealed the correlation between the content of different elements and different types of mortality in the U.S. general population.

Risk factors for peripheral artery disease and diabetic peripheral neuropathy among patients with type 2 diabetes.

AIMS: To investigate the prevalence of peripheral artery disease (PAD) and diabetic peripheral neuropathy (DPN) and the associated risk factors among Chinese patients with type 2 diabetes mellitus. METHODS: A cross-sectional study was conducted using data between November 1, 2018, and December 31, 2022. PAD was defined as ABI ≤ 0.9. DPN diagnosis involved specialized physician assessments using questionnaires and vibration perception threshold tests. Logistic regression analysis was used to identify related factors. We also evaluated the association between the clustering of risk factors and disease incidence. RESULTS: The study population comprised 13,315 patients (mean age: 63.3 years). 4.9 % of the patients had PAD and 43.9 % had DPN. Multivariate regression analysis revealed advanced age, smoking, hypertension, coronary heart disease, dyslipidemia, elevated HbA1c, and uric acid levels as independent risk factors for PAD. For DPN, independent risk factors included advanced age, female gender, hypertension, coronary heart disease, elevated total cholesterol, triglycerides, lipoprotein(a), fasting plasma glucose, HbA1c, alkaline phosphatase, cystatin C, albumin-to-creatinine ratio, and elevated homocysteine levels, whereas apolipoprotein A was a protective factor. The clustering of risk factors was prevalent and associated with higher disease risk. CONCLUSIONS: Our study contributed to identifying high-risk individuals and improving lower limb health among diabetic individuals.

Development and Validation of a Nomogram for Predicting All-Cause Mortality in Patients with Hemodialysis Having Pulmonary Hypertension.

INTRODUCTION: Patients with end-stage renal disease receiving hemodialysis (HD) have a high morbidity and mortality rate associated with pulmonary hypertension (PH). A nomogram was developed to predict all-cause mortality in HD patients with PH. In this study, we aimed to validate the usefulness of this nomogram. METHODS: A total of 274 HD patients with PH were hospitalized at the Affiliated Hospital of Xuzhou Medical University between January 2014 and June 2019 and followed up for 3 years. Echocardiography detected PH when the peak tricuspid regurgitation velocity (TRV) was more than 2.8 m/s. To evaluate the all-cause mortality for long-term HD patients with PH, Cox regression analysis was performed to determine the factors of mortality that were included in the prediction model. Next, the area under the receiver-operating characteristic curve (AUC-ROC) was used to assess the predictive power of the model. Calibration plots and decision curve analysis (DCA) were used to assess the accuracy of the prediction results and the clinical utility of the model. RESULTS: The all-cause mortality rate was 29.20% throughout the follow-up period. The nomogram comprised six commonly available predictors: age, diabetes mellitus, cardiovascular disease, hemoglobin, left ventricular ejection fraction, and TRV. The 1-year, 2-year, and 3-year AUC-ROC values were 0.842, 0.800, and 0.781, respectively. The calibration curves revealed excellent agreement with the nomogram, while the DCA demonstrated favorable clinical practicability. CONCLUSION: The first developed nomogram for predicting all-cause mortality in HD patients with PH could guide clinical decision-making and intervention planning.

Efficacy and safety of PCSK9 inhibitors in patients with diabetes: A systematic review and meta-analysis.

AIMS: Individuals with diabetes have increased cardiovascular risk. Although PCSK9 inhibitors bring about a wide reduction in lipids, there is uncertainty about the effects for diabetic patients. We conducted a systematic review and meta-analysis to assess the efficacy and safety of PCSK9 inhibitors for diabetes. DATA SYNTHESIS: We performed a meta-analysis comparing treatment with PCSK9 inhibitors versus controls up to July 2022. Primary efficacy endpoints were percentage changes in lipid profile parameters. We used random effects meta-analyses to combine data. Subgroups of diabetic patients (by diabetes type, baseline LDL-C, baseline HbA1c and follow-up time) were also compared. We included 12 RCTs comprising 14,702 patients. Mean reductions in LDL-C were 48.20% (95% CI: 35.23%, 61.17%) in patients with diabetes. Reductions observed with PCSK9 inhibitors were 45.23% (95% CI: 39.43%, 51.02%) for non-HDL-cholesterol, 30.39% (95% CI: 24.61%, 36.17%) for total cholesterol, 11.96% (95% CI: 6.73%, 17.19%) for triglycerides, 27.87% (95% CI: 22.500%, 33.17%) for lipoprotein(a), 42.43% (95% CI: 36.81%, 48.06%) for apolipoprotein B; increases in HDL-C of 5.97% (95% CI: 4.59%, 7.35%) were also observed. There was no significant difference in fasting plasma glucose (FPG) (WMD: 2.02 mg/mL; 95% CI: -1.83, 5.87) and HbA1c (WMD: 1.82%; 95% CI: -0.63, 4.27). Use of a PCSK9 inhibitor was not associated with increased risk of treatment-emergent adverse event (TEAE) (p = 0.542), serious adverse event (SAE) (p = 0.529) and discontinuations due to AEs (p = 0.897). CONCLUSIONS: PCSK9 inhibitor therapy should be considered for all diabetic individuals at high risk of atherosclerotic cardiovascular disease. REGISTRATION CODE IN PROSPERO: CRD42022339785.

Trends in lipid profiles and control of LDL-C among adults with diabetes in the United States: An analysis of NHANES 2007-2018.

BACKGROUND AND AIM: To determine trends in lipid profiles and lipid control in US adults with diabetes and assess variation in these trends across sex and race/ethnicity from 2007 to 2018. METHODS AND RESULTS: Serial cross-sectional analysis of data from diabetic adults participating in the National Health and Nutrition Examination Survey (NHANES; 2007-2008 to 2017-2018). Among the 6116 participants included (weighted mean age, 61.0 years; 50.7% men), age-adjusted TC (p for trend < 0.001), LDL-C (p for trend < 0.001), TG (p for trend = 0.006), TG/HDL-C (p for trend = 0.014) and VLDL-C (p for trend = 0.015) decreased significantly. Age-adjusted LDL-C levels were consistently higher in women than in men over the study period. Age-adjusted LDL-C improved significantly for diabetic whites and blacks but did not change significantly for the other races/ethnicity. Lipid parameters improved for non-coronary heart disease (CHD) diabetic adults, except for HDL-C, while no lipid parameter significantly changed for diabetic adults with concomitant CHD. Among diabetic adults receiving statin therapy, age-adjusted lipid control remained unchanged from 2007 to 2018, as did adults with concomitant CHD. However, age-adjusted lipid control improved significantly for men (p for trend < 0.01) and diabetic Mexican Americans (p for trend < 0.01). In 2015-2018, female diabetic participants receiving statins had lower odds of achieving lipid control (OR: 0.55; 95% CI: 0.35-0.84; P = 0.006) than men. Differences in lipid control across different races/ethnicities no longer existed. CONCLUSIONS: Lipid profiles improved in the US adults with diabetes from 2007 to 2018. Although rates of lipid control did not improve nationally in adults receiving statins, these patterns varied by sex and race/ethnicity.

Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study.

Objective: Our research was designed to investigate the relationship between systemic immune inflammation (SII) index and all-cause, cardiovascular disease (CVD), and cancer-related mortality in patients with CVD. Methods: We used the National Health and Nutrition Examination Survey data from 1999 to 2018 to conduct this study. The association between SII index and all-cause, CVD, and cancer-related mortality in patients with CVD was examined using restricted cubic splines (RCS), Cox proportional hazard models, and subgroup analysis, respectively. CVD was defined as a composite of five outcomes of CVD, including coronary heart disease (CHD), congestive heart failure (CHF), angina pectoris, myocardial infarction, and stroke. Additionally, the link between SII index and all-cause, CVD, and cancer-related mortality in patients with a composite of five outcomes of CVD was also explored. Results: In total, 5329 participants were included. The RCS also showed a U-curve correlation between SII index and the all-cause, CVD, and cancer-related mortality in patients with CVD. As compared with the individuals with lowest quartile of SII index, hazard ratios with 95% confidence intervals for all-cause, CVD, and cancer-related mortality across the quartiles were (1.202 (0.981, 1.474), 1.184 (0.967, 1.450), and 1.365 (1.115, 1.672)), (1.116 (0.815, 1.527), 1.017 (0.740, 1.398), and 1.220 (0.891, 1.670)), and (1.202 (0.981, 1.474), 1.184 (0.967, 1.450), and 1.365 (1.115, 1.672)), respectively, in the full-adjusted model. The SII index also had a U-shaped relationship with all-cause, CVD, and cancer-related mortality in patients with CHD, angina, and myocardial infarction. Additionally, the U-shaped relationship between SII index and all-cause, and cancer-related mortality also exists in CHF, and stroke. However, there was a positive linear correlation between SII index and CVD mortality in patients with CHF, and stroke. Conclusion: In the United States general population, the correlation between SII index and all-cause, CVD, and cancer-related mortality showed a U-shaped curve in patients with CVD.

Preliminary assessment of cardiotoxicity in chimeric antigen receptor T cell therapy: a systematic review and meta-analysis.

As a novel anticancer therapy, chimeric antigen receptor T (CAR T) cell therapy may lead to cardiotoxic reactions. However, the exact incidence remains unclear. Our study aimed to preliminarily assess the prevalence of cardiotoxicity after CAR T cell treatment using a systematic review and meta-analysis. PubMed, Embase, Web of Science, and Cochrane databases were searched for potentially relevant studies. All types of relevant clinical studies were screened and assessed for risk bias. In most instances, random-effect models were used for data analysis, and heterogeneity between studies was evaluated. Standard quality assessment tools were used to assess quality. The study was registered with PROSPERO (CRD42022304611). Eight eligible studies comprising 3567 patients, including seven observational studies and one controlled study, were identified. The incidence of cardiovascular events was 16.7% [95% confidence interval (CI) 0.138-0.200, P < 0.01)]. Arrhythmia was the most common disorder, with an incidence of 6.5% (95% CI 0.029-0.115, P < 0.01). The occurrence of cardiotoxicity was associated with cytokine release syndrome (CRS), with a prevalence of 18.7% (95% CI 0.107-0.315, P < 0.01). Moreover, such adverse reactions were more common when CRS > 2 (OR = 0.07, 95% CI 0.02-0.29, P < 0.01). The risk of cardiotoxicity was not notably higher in patients receiving CAR T cell therapy than in those receiving traditional anticancer treatment. However, sufficient attention should be paid to this. And further evidence from large-scale clinical trials are needed.

Association of Systemic Immune Inflammation Index with Estimated Pulse Wave Velocity, Atherogenic Index of Plasma, Triglyceride-Glucose Index, and Cardiovascular Disease: A Large Cross-Sectional Study.

In the U.S. general population, there is a lack of understanding regarding the association between the systemic immune inflammation (SII) index and estimated pulse wave velocity (ePWV), atherogenic index of plasma (AIP), and triglyceride-glucose (TyG) index and cardiovascular disease (CVD). As a result, the objective of our research was to investigate the association between the SII index and ePWV, AIP, and TyG index and incident CVD. We used the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018 to conduct this study. The correlation between the SII index and ePWV, AIP, and TyG index was examined using generalized additive models with smooth functions. In addition, the association between SII index and triglyceride (TC), high-density lipoprotein cholesterol (HDL-C), and fast glucose (FBG) also were explored. Finally, we further performed multivariable logistic regression analysis, restricted cubic spline (RCS) plots, and subgroup analysis to study the connection between the SII index and CVD. Our analysis included 17389 subjects from the NHANES database. A substantial positive association existed between SII, WV, and the TyG index. In addition, with the increase of the SII index, AIP showed a trend of decreasing first, then rising, and then decreasing. The SII index was inversely and linearly associated with triglyceride (TG), while positively and linearly associated with fast glucose (FBG). However, high-density lipoprotein cholesterol (HDL-C) had a tendency of first declining, then climbing, and finally falling with the rise in the SII index. After adjusting for potential confounders, compared with the lowest quartiles, the odds ratios with 95% confidence intervals for CVD across the quartiles were 0.914 (0.777, 1.074), 0.935 (0.779, 1.096), and 1.112 (0.956, 1.293) for SII index. The RCS plot showed an inverse U-shaped curve relationship between the SII index and CVD. Overall, this study found a strong correlation between a higher SII index and ePWV and the TyG index. Additionally, these cross-sectional data also revealed a U-shaped connection between the SII index and CVD.

Diagnostic value of parameters derived from planar MUGA for detecting HFpEF in coronary artery disease patients.

BACKGROUND: In recent years, heart failure with preserved ejection fraction (HFpEF) has received increasing clinical attention. To investigate the diagnostic value of diastolic function parameters derived from planar gated blood-pool imaging (MUGA) for detecting HFpEF in coronary atherosclerotic heart disease (coronary artery disease, CAD) patients. METHODS: Ninety-seven CAD patients with left ventricular ejection fraction ≥ 50% were included in the study. Based on the left ventricular end-diastolic pressure (LVEDP), the patients were divided into the HFpEF group (LVEDP ≥ 16 mmHg, 47 cases) and the normal LV diastolic function group (LVEDP < 16 mmHg, 50 cases). Diastolic function parameters obtained by planar MUGA include peak filling rate (PFR), filling fraction during the first third of diastole (1/3FF), filling rate during the first third of diastole (1/3FR), mean filling rate during diastole (MFR), and peak filling time (TPF). Echocardiographic parameters include left atrial volume index (LAVI), peak tricuspid regurgitation velocity (peak TR velocity), transmitral diastolic early peak inflow velocity (E), average early diastolic velocities of mitral annulars (average e'), average E/e' ratio. The diastolic function parameters obtained by planar MUGA were compared with those obtained by echocardiography to explore the clinical value of planar MUGA for detecting HFpEF. RESULTS: The Receiver-operating characteristic curve analysis of diastolic function parameters obtained from planar MUGA and echocardiography to detect HFpEF showed that: among the parameters examined by planar MUGA, the area under the curve (AUC) of PFR, 1/3FF, 1/3FR, MFR and TPF were 0.827, 0.662, 0.653, 0.663 and 0.809, respectively. Among the echocardiographic parameters, the AUCs for average e', average E/e' ratio, peak TR velocity, and LAVI values were 0.747, 0.706, 0.735, and 0.633. The combination of PFR and TPF showed an AUC of 0.856. PFR combined with TPF value demonstrated better predictive value than average e' (Z = 2.020, P = 0.043). CONCLUSION: Diastolic function parameters obtained by planar MUGA can be used to diagnose HFpEF in CAD patients. PFR combined with TPF was superior to the parameters obtained by echocardiography and showed good sensitivity and predictive power for detecting HFpEF.

Effects of Remote Ischemic Preconditioning on Decreasing Troponin Release in Patients Not Taking Sulfonylureas After Cardiac Surgery - A Meta-Analysis.

INTRODUCTION: Remote ischemic preconditioning (RIPC) is a new noninvasive myocardial protection strategy that uses blood pressure cuf inflation to simulate transient non-fatal ischemia to protect the myocardium and reduce ischemia-reperfusion injury. Sulfonylureas may mask the effects of RIPC due to their cardioprotec-tive effect. This meta-analysis aimed to evaluate whether RIPC, in the absence of sulfonylureas, reduces troponin release in patients undergoing cardiac surgery. METHODS: We conducted a meta-analysis of randomized controlled clinical trials to determine whether RIPC can reduce postoperative troponin release in cardiac surgery patients undergoing cardiopulmonary bypass without treatment with sulfonylureas. The data were normalized to equivalent units prior to the analysis. A random-effects model was used to provide more conservative estimate of the effects in the presence of known or unknown heterogeneity. RESULTS: Six studies with a total of 570 participants were included. The analysis showed that troponin release was lower in the RIPC group than in the control group at six hours (test of standardized mean differences = 0, Z=3.64, P<0.001) and 48 hours (Z=2.72, P=0.007) postoperatively. When the mean of cross-clamping time was > 60 minutes, RIPC reduced troponin release at six hours (Z=2.84, P=0.005), 24 hours (Z=2.64, P=0.008), and 48 hours (Z=2.87, P=0.004) postoperatively. CONCLUSION: In cardiac surgery patients who are not taking sulfonylureas, RIPC can reduce troponin release at six and 48 hours postoperatively; hence, RIPC may serve significant benefits in certain cardiac surgery patients.

Association of lipoprotein(a) with left ventricular hypertrophy in patients with new-onset acute myocardial infarction: A large cross-sectional study.

BACKGROUND: The association of lipoprotein(a) [Lp(a)] with echocardiography-estimated left ventricular hypertrophy (LVH) in high-risk population remains uncertain, so we assessed the association between Lp(a) with echocardiography-derived LVH in patients with new-onset acute myocardial infarction (AMI). METHODS: In this large, single-center, cross-sectional observational study, we enrolled 2,096 patients with new-onset AMI. Lp(a) was used as the independent variable and LVH was used as the dependent variable. Logistic regression, subgroup and sensitivity analysis were performed to test the association of Lp(a) with LVH. RESULTS: The concentration of Lp(a) was higher in LVH group compared with the non-LVH group (P < 0.001). Multivariate logistic regression analysis showed that higher Lp(a) was strongly associated with higher risk of LVH, independently of traditional cardiovascular risk factors (Fully adjusted model, Q4 vs Q1, OR: 1.941, 95% CI: 1.343-2.803, P < 0.001). Subgroup analysis showed that the association of Lp(a) with LVH persisted in the subgroups of age (<60 and ≥60 years), sex (male and female), smoking (yes and no), diabetes (yes), hypertension (yes), hyperlipidemia (yes), and chronic kidney diseases (yes and no). Further sensitivity analysis indicated that Lp(a) remained significantly associated with LVH after further adjusting for high-sensitivity C-reactive protein or excluding patients with estimated glomerular filtration rate < 30 ml/min/1.73 m2 or dividing Lp(a) into multiple dichotomous variables. CONCLUSION: Lp(a) was closely associated with LVH in patients with new-onset AMI.

Association of lipoprotein(a) with coronary severity in patients with new-onset acute myocardial infarction: A large cross-sectional study.

BACKGROUND: Although current evidence suggests a causal association between lipoprotein(a) [Lp(a)] and cardiovascular disease, there is still no consensus on its association with coronary severity in new-onset acute myocardial infarction (AMI). We explored the association of Lp(a) with coronary severity. METHODS: In this large cross-sectional study, we enrolled 2,740 patients with new-onset AMI from the Zhongda Hospital affiliated to Southeast University. Lp(a) was considered as an exposure variable. Gensini score, left main disease and three-vessel disease were used to assess coronary severity. Multivariate logistic regression, restricted cubic spline (RCS) models and threshold effects were used to analyze the association of Lp(a) with coronary severity. RESULTS: Multivariate adjusted models showed that Lp(a) was independently associated with Gensini score (≥100), left main disease and three-vessel disease [Q4 vs Q1, OR (95 % CI), P value: 2.301 (1.770, 2.992), P < 0.001; 1.743 (1.174, 2.587), P = 0.006; 1.431 (1.128, 1.816), P = 0.003; respectively], and the associations persisted in sensitivity analyses and most subgroups (P < 0.05). Additionally, the RCS showed that Lp(a) was nonlinearly associated with Gensini score (continuous variable), Gensini score (≥100) and three-vessel disease (P for nonlinearity < 0.05). Threshold effects analysis showed that Lp(a) above the inflection point was positively associated with Gensini score (continuous variable) as well as the risk of Gensini score (≥100) and three-vessel disease. CONCLUSION: Lp(a) was closely associated with coronary severity represented by Gensini score, left main disease and three-vessel disease in patients with new-onset AMI.

Intakes of omega-3 fatty acids and risks of all-cause and cause-specific mortality in people with diabetes: a cohort study based on NHANES 1999-2014.

AIMS: Intake of omega-3 fatty acids is associated with several health benefits, but the specific benefits in populations with diabetes have yet to be elucidated. Therefore, this study aimed to explore the relationship between intake of omega-3 fatty acids and mortality in people with diabetes. METHODS: This was a prospective cohort study and included 4854 participants with diabetes (mean age, 57.92 years; 50.9% male) from the National Health and Nutrition Examination Survey (1999-2014). Eicosapentaenoic (EPA) and docosahexaenoic (DHA) acid intake were used as alternative markers of omega-3 fatty acids intake and calculated based on the sum of the 24-h dietary recall interviews and dietary supplements. Mortality data were ascertained by linkage to National Death Index records by December 31, 2015. Cox proportional hazard models and restricted cubic spline were used to assess the relationship between EPA and DHA intake and all-cause and cause-specific mortality. Statistical analyses were performed using R 4.2.0 software. RESULTS: Compared with participants with a lower EPA + DHA intake, participants who had a higher EPA + DHA intake tended to be Non-Hispanic Black; were more likely to be obese; and had higher daily energy intake and family income. During 34,386 person-years of follow-up, 1102 deaths were documented, including 266 cardiovascular disease deaths and 152 cancer deaths. In multivariable regression analyses with adjustment of confounding factors, higher EPA + DHA intake was significantly and linearly related to lower all-cause mortality: there was a 25% reduced risk of all-cause mortality. CONCLUSIONS: Higher omega-3 fatty acid intake was independently related to lower all-cause mortality in individuals with diabetes, suggesting an adequate intake of omega-3 fatty acids may prevent premature death among the population with diabetes.

Development and validation of a risk nomogram model for predicting pulmonary hypertension in patients with stage 3-5 chronic kidney disease.

OBJECTIVES: The occurrence of pulmonary arterial hypertension (PAH) can greatly affect the prognosis of patients with chronic kidney disease (CKD). We aimed to construct a nomogram to predict the probability of PAH development in patients with stage 3-5 CKD to guide early intervention and to improve prognosis. METHODS: From August 2018 to December 2021, we collected the data of 1258 patients with stage 3-5 CKD hospitalized at the Affiliated Hospital of Xuzhou Medical University as a training set and 389 patients hospitalized at Zhongda Hospital as a validation set. These patients were divided into PAH and N-PAH groups with pulmonary arterial systolic pressure ≥ 35 mmHg as the cutoff. The results of univariate and multivariate logistic regression analyses were used to establish the nomogram. Then, areas under the receiver operating characteristic curve (AUC-ROCs), a calibration plot, and decision curve analysis (DCA) were used to validate the nomogram. RESULTS: The nomogram included nine variables: age, diabetes mellitus, hemoglobin, platelet count, serum creatinine, left ventricular end-diastolic diameter, left atrial diameter, main pulmonary artery diameter and left ventricular ejection fraction. The AUC-ROCs of the training set and validation set were 0.801 (95% confidence interval (CI) 0.771-0.830) and 0.760 (95% CI 0.699-0.818), respectively, which showed good discriminative ability of the nomogram. The calibration diagram showed good agreement between the predicted and observed results. DCA also demonstrated that the nomogram could be clinically useful. CONCLUSION: The evaluation of the nomogram model for predicting PAH in patients with CKD based on risk factors showed its ideal efficacy. Thus, the nomogram can be used to screen for patients at high risk for PAH and has guiding value for the subsequent formulation of prevention strategies and clinical treatment.

Correlation analysis between the static and the changed neutrophil-to-lymphocyte ratio and in-hospital mortality in critical patients with acute heart failure.

OBJECTIVE: Association between neutrophil-to-lymphocyte ratio (NLR) on admission and poor prognosis in patients with acute heart failure (AHF) has been well established. However, the relationship between dynamic changes in NLR and in-hospital mortality in AHF patients has not been studied. Our purpose was to determine if an early change in NLR within the first week after AHF patients was admitted to intensive care unit (ICU) was associated with in-hospital mortality. METHODS: Data from the medical information mart for intensive care IV (the MIMIC-IV) database was analyzed. The effect of baseline NLR on in-hospital mortality in critical patients with AHF was evaluated utilizing smooth curve fitting and multivariable logistic regression analysis. Moreover, comparison of the dynamic change in NLR among survivors and non-survivors was performed using the generalized additive mixed model (GAMM). RESULTS: There were 1169 participants who took part in the present study, 986 of whom were in-hospital survivors and 183 of whom were in-hospital non-survivors. The smooth curve fitting revealed a positive relationship between baseline NLR and in-hospital mortality, and multivariable logistic regression analysis indicated that baseline NLR was an independent risk factor for in-hospital mortality (OR 1.04, 95% CI 1.02,1.07, P-value = 0.001). After adjusting for confounders, GAMM showed that the difference in NLR between survivors and non-survivors grew gradually during the first week after ICU admission, and the difference grew by an average of 0.51 per day (ß = 0.51, 95% CI 0.45-0.56, P-value <0.001). CONCLUSIONS: Baseline NLR was associated with poor prognosis in critical patients with AHF. Early rises in NLR were linked to higher in-hospital mortality, which suggests that keeping track of how NLR early changes might help identify short-term prognosis of critical patients with AHF.

Effects of Remote Ischemic Preconditioning on Decreasing Troponin Release in Patients Not Taking Sulfonylureas After Cardiac Surgery - A Meta-Analysis

ABSTRACT Introduction: Remote ischemic preconditioning (RIPC) is a new noninvasive myocardial protection strategy that uses blood pressure cuf inflation to simulate transient non-fatal ischemia to protect the myocardium and reduce ischemia-reperfusion injury. Sulfonylureas may mask the effects of RIPC due to their cardioprotec-tive effect. This meta-analysis aimed to evaluate whether RIPC, in the absence of sulfonylureas, reduces troponin release in patients undergoing cardiac surgery. Methods: We conducted a meta-analysis of randomized controlled clinical trials to determine whether RIPC can reduce postoperative troponin release in cardiac surgery patients undergoing cardiopulmonary bypass without treatment with sulfonylureas. The data were normalized to equivalent units prior to the analysis. A random-effects model was used to provide more conservative estimate of the effects in the presence of known or unknown heterogeneity. Results: Six studies with a total of 570 participants were included. The analysis showed that troponin release was lower in the RIPC group than in the control group at six hours (test of standardized mean differences = 0, Z=3.64, P<0.001) and 48 hours (Z=2.72, P=0.007) postoperatively. When the mean of cross-clamping time was > 60 minutes, RIPC reduced troponin release at six hours (Z=2.84, P=0.005), 24 hours (Z=2.64, P=0.008), and 48 hours (Z=2.87, P=0.004) postoperatively. Conclusion: In cardiac surgery patients who are not taking sulfonylureas, RIPC can reduce troponin release at six and 48 hours postoperatively; hence, RIPC may serve significant benefits in certain cardiac surgery patients.

Association between iron metabolism and non-alcoholic fatty liver disease: results from the National Health and Nutrition Examination Survey (NHANES 2017-2018) and a controlled animal study.

BACKGROUND: Iron metabolism may be involved in the pathogenesis of the non-alcoholic fatty liver disease (NAFLD). The relationship between iron metabolism and NAFLD has not been clearly established. This study aimed to clarify the relationship between biomarkers of iron metabolism and NAFLD. METHODS: Based on the National Health and Nutrition Examination Survey (NHANES), restricted cubic spline models and multivariable logistic regression were used to examine the association between iron metabolism [serum iron (SI), serum ferritin (SF), transferrin saturation (TSAT), and soluble transferrin receptor (sTfR)] and the risk for NAFLD. In addition, stratified subgroup analysis was performed for the association between TSAT and NAFLD. Moreover, serum TSAT levels were determined in male mice with NAFLD. The expression of hepcidin and ferroportin, vital regulators of iron metabolism, were analyzed in the livers of mice by quantitative real-time PCR (qRT-PCR) and patients with NAFLD by microarray collected from the GEO data repository. RESULTS: Patients with NAFLD showed decreased SI, SF, and TSAT levels and increased STfR levels based on the NHANES. After adjusting for confounding factors, TSAT was significantly negatively correlated with NAFLD. Of note, the relationship between TSAT and NAFLD differed in the four subgroups of age, sex, race, and BMI (P for interaction < 0.05). Consistently, mice with NAFLD exhibited decreased serum TSAT levels. Decreased hepcidin and increased ferroportin gene expression were observed in the livers of patients and mice with NAFLD. CONCLUSION: Serum TSAT levels and hepatic hepcidin expression were decreased in both patients and mice with NAFLD. Among multiple biomarkers of iron metabolism, lower TSAT levels were significantly associated with a higher risk of NAFLD in the U.S. general population. These findings might provide new ideas for the prediction, diagnosis, and mechanistic exploration of NAFLD.

Immune-associated pivotal biomarkers identification and competing endogenous RNA network construction in post-operative atrial fibrillation by comprehensive bioinformatics and machine learning strategies.

Background: Atrial fibrillation (AF) is the most common arrhythmia. Previous studies mainly focused on identifying potential diagnostic biomarkers and treatment strategies for AF, while few studies concentrated on post-operative AF (POAF), particularly using bioinformatics analysis and machine learning algorithms. Therefore, our study aimed to identify immune-associated genes and provide the competing endogenous RNA (ceRNA) network for POAF. Methods: Three GSE datasets were downloaded from the GEO database, and we used a variety of bioinformatics strategies and machine learning algorithms to discover candidate hub genes. These techniques included identifying differentially expressed genes (DEGs) and circRNAs (DECs), building protein-protein interaction networks, selecting common genes, and filtering candidate hub genes via three machine learning algorithms. To assess the diagnostic value, we then created the nomogram and receiver operating curve (ROC). MiRNAs targeting DEGs and DECs were predicted using five tools and the competing endogenous RNA (ceRNA) network was built. Moreover, we performed the immune cell infiltration analysis to better elucidate the regulation of immune cells in POAF. Results: We identified 234 DEGs (82 up-regulated and 152 down-regulated) of POAF via Limma, 75 node genes were visualized via PPI network, which were mainly enriched in immune regulation. 15 common genes were selected using three CytoHubba algorithms. Following machine learning selection, the nomogram was created based on the four candidate hub genes. The area under curve (AUC) of the nomogram and individual gene were all over 0.75, showing the ideal diagnostic value. The dysregulation of macrophages may be critical in POAF pathogenesis. A novel circ_0007738 was discovered in POAF and the ceRNA network was eventually built. Conclusion: We identified four immune-associated candidate hub genes (C1QA, C1R, MET, and SDC4) for POAF diagnosis through the creation of a nomogram and evaluation of its diagnostic value. The modulation of macrophages and the ceRNA network may represent further therapy methods.

A Clinical Nomogram Based on the Triglyceride-Glucose Index to Predict Contrast-Induced Acute Kidney Injury after Percutaneous Intervention in Patients with Acute Coronary Syndrome with Diabetes Mellitus.

The aim of the study was to investigate the factors influencing contrast-induced acute kidney injury (CI-AKI) after percutaneous intervention (PCI) in patients with acute coronary syndrome (ACS) with diabetes mellitus (DM). A total of 1073 patients with ACS combined with DM who underwent PCI at the Affiliated Hospital of Xuzhou Medical University were included in this study. We divided the patients into the CI-AKI and non-CI-AKI groups according to whether CI-AKI occurred or not. The patients were then randomly assigned to the training and validation sets at a proportion of 7 : 3. Based on the results of the LASSO regression and multivariate analyses, we determined that the subtypes of ACS, age, multivessel coronary artery disease, hyperuricemia, low-density lipoprotein cholesterol, triglyceride-glucose index, and estimated glomerular filtration rate were independent predictors on CI-AKI after PCI in patients with ACS combined with DM. Using the above indicators to develop the nomogram, the AUC-ROC of the training and validation sets were calculated to be 0.811 (95% confidence interval (CI): 0.766-0.844) and 0.773 (95% CI: 0.712-0.829), respectively, indicating high prediction efficiency. After verification by the Bootstrap internal verification, we found that the calibration curves showed good agreement between the nomogram predicted and observed values. And the DCA results showed that the nomogram had a high clinical application. In conclusion, we constructed and validated the nomogram to predict CI-AKI risk after PCI in patients with ACS and DM. The model can provide a scientific reference for predicting the occurrence of CI-AKI and improving the prognosis of patients.

Novel grading system for ischemia‒reperfusion injury manifestations in patients with acute ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

To establish a simple myocardial ischemia‒reperfusion injury (MIRI) manifestation grading system based on clinical manifestations and coronary angiography during primary percutaneous coronary intervention (PPCI). All STEMI patients treated with PPCI from June 2018 to November 2019 were included. According to the MIRI manifestation grade, patients were divided into four grades (I-IV). Laboratory and clinical indicators of the patients and the occurrence of major adverse cardiac events (MACEs) within one year of follow-up were analyzed. A total of 300 patients were included. The higher the MIRI manifestation grade, the lower was the high-density lipoprotein cholesterol (HDL-C); the higher were the C-reactive protein (CRP), lipoprotein(a) [LP(a)], and peak levels of high-sensitivity troponin T (hs-cTnT), creatine kinase (CK-MB), and N-terminal pro-B-type natriuretic peptide (NT-proBNP); and the higher were the proportions of right coronary artery (RCA) and multivessel lesions (P < 0.05). The left ventricular end-diastolic dimension (LVEDD) and E/e' values of patients with higher grades were significantly increased, while the LVEF, left ventricular short-axis functional shortening (LVFS) and E/A values were significantly decreased (P < 0.05). The one-year cumulative incidence of major adverse cardiac events (MACEs) in patients with grade I-IV disease was 7.7% vs. 26.9% vs. 48.4% vs. 93.3%, respectively, P < 0.05. The higher the MIRI manifestation grade, the more obvious is the impact on diastolic and systolic function and the higher is the cumulative incidence of MACEs within one year, especially in patients with multivessel disease, low HDL-C, high CRP, high LP(a) levels, and the RCA as the infarction-related artery.