Prognostic Value of Blood Urea Nitrogen for Short-Term Mortality in Patients with Infective Endocarditis.

INTRODUCTION: Blood urea nitrogen (BUN) is a metabolic product validated to be an independent risk factor in the prognosis of several diseases. However, the prognostic value of BUN in patients with infective endocarditis (IE) remains unevaluated. METHODS: A total of 1371 patients with a diagnosis of IE were included and divided into four groups according to BUN (mmol/L) at admission: < 3.5 (n = 343), 3.5-4.8 (n = 343), 4.8-6.8 (n = 341), and ≥ 6.8 (n = 344). Restricted cubic spline was used to assess the association of BUN with in-hospital mortality. Multivariate analysis was performed to identify the independent risk factors for adverse outcomes. RESULTS: The in-hospital mortality reached 7.4%, while the 6-month mortality was 9.8%. The restricted cubic spline plot exhibited an approximately linear relationship between BUN and in-hospital mortality. Receiver operating characteristics curve analysis showed that the optimal cut-off of BUN for predicting in-hospital death was 6.8 mmol/L. Kaplan-Meier analysis showed that patients with BUN > 6.8 mmol/L had a higher 6-month mortality than other groups (log rank = 97.9, P < 0.001). Multivariate analysis indicated that BUN > 6.8 mmol/L was an independent predictor indicator for both in-hospital [adjusted odds ratio (aOR) = 2.365, 95% confidence interval (CI) 1.292-4.328, P = 0.005] and 6-month mortality [adjusted hazard ratio (aHR) = 2.171, 95% CI 1.355-3.479, P = 0.001]. CONCLUSIONS: BUN is suitable for independently predicting short-term mortality in patients with IE.

Optimal threshold of urinary albumin-to-creatinine ratio (UACR) for predicting long-term cardiovascular and noncardiovascular mortality.

PURPOSE: Traditional cutoff values of urinary albumin-to-creatinine ratio (UACR) for predicting mortality have recently been challenged. In this study, we investigated the optimal threshold of UACR for predicting long-term cardiovascular and non-cardiovascular mortality in the general population. METHODS: Data for 25,302 adults were extracted from the National Health and Nutrition Examination Survey (2005-2014). Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive value of UACR for cardiovascular and non-cardiovascular mortality. A Cox regression model was established to examine the association between UACR and cardiovascular and non-cardiovascular mortality. X-tile was used to estimate the optimal cutoff of UACR. RESULTS: The UACR had acceptable predictive value for both cardiovascular (AUC (95% CI) for 1-year, 3-year and 5-year mortality, respectively: 0.769 (0.711-0.828), 0.764 (0.722-0.805) and 0.763 (0.730-0.795)) and non-cardiovascular (AUC (95% CI) for 1-year, 3-year and 5-year mortality, respectively: 0.772 (0.681-0.764), 0.708 (0.686-0.731) and 0.708 (0.690-0.725)) mortality. The optimal cutoff values were 16 and 30 mg/g for predicting long-term cardiovascular and non-cardiovascular mortality, respectively. Both cutoffs of UACR had acceptable specificity (0.785-0.891) in predicting long-term mortality, while the new proposed cutoff (16 mg/g) had higher sensitivity. The adjusted hazard ratios of cardiovascular and non-cardiovascular mortality for the high-risk group were 2.50 (95% CI 1.96-3.18, P < 0.001) and 1.92 (95% CI 1.70-2.17, P < 0.001), respectively. CONCLUSIONS: Compared to the traditional cutoff value (30 mg/g), a UACR cutoff of 16 mg/g may be more sensitive for identifying patients at high risk for cardiovascular mortality in the general population.

Albumin-Bilirubin Score to Predict Outcomes in Patients with Idiopathic Dilated Cardiomyopathy. / Escore Albumina-Bilirrubina para Predizer Desfechos em Pacientes com Cardiomiopatia Dilatada Idiopática.

BACKGROUND: Liver dysfunction is a postulated variable for poor prognosis in dilated cardiomyopathy (DCM). OBJECTIVE: This study aimed to investigate the prognostic value of the albumin-bilirubin (ALBI) score, a relatively new model for evaluating liver function, in patients with idiopathic DCM. METHODS: A total of 1025 patients with idiopathic DCM were retrospectively included and divided into three groups based on ALBI scores: grade 1 (≤ -2.60, n = 113), grade 2 (-2.60 to -1.39, n = 835), and grade 3 (> -1.39, n = 77). The association of ALBI score with in-hospital major adverse clinical events (MACEs) and long-term mortality was analyzed. P-value less than 0.05 was considered statistically significant. RESULTS: The in-hospital MACEs rate was significantly higher in the grade 3 patients (2.7% versus 7.1% versus 24.7%, p < 0.001). Multivariate analysis showed that ALBI score was an independent predictor for in-hospital MACEs (adjusted odds ratio = 2.80, 95%CI: 1.63 - 4.80, p < 0.001). After a median 27-month follow-up, 146 (14.2%) patients died. The Kaplan-Meier curve indicated that the cumulative rate of long-term survival was significantly lower in patients with higher ALBI grade (log-rank = 45.50, p < 0.001). ALBI score was independently associated with long-term mortality (adjusted hazard ratio = 2.84, 95%CI: 1.95 - 4.13, p < 0.001). CONCLUSION: ALBI score as a simple risk model could be considered a risk-stratifying tool for patients with idiopathic DCM.

FUNDAMENTO: A disfunção hepática é uma variável postulada de prognóstico desfavorável na cardiomiopatia dilatada (CMD). OBJETIVO: Este estudo teve como objetivo investigar o valor prognóstico do escore albumina-bilirrubina (ALBI), um modelo relativamente novo para a avaliação da função hepática, em pacientes com CMD idiopática. MÉTODOS: Um total de 1.025 pacientes com CMD idiopática foram incluídos retrospectivamente e divididos em três grupos com base nos escores de ALBI: grau 1 (≤ −2,60, n = 113), grau 2 (−2,60 a −1,39, n = 835) e grau 3 (> −1,39, n = 77). Foi analisada a associação do escore ALBI com eventos clínicos adversos maiores (ECAM) intra-hospitalares e mortalidade a longo prazo. Valor de p inferior a 0,05 foi considerado estatisticamente significativo. RESULTADOS: A taxa de ECAM intra-hospitalares foi significativamente maior nos pacientes com grau 3 (2,7% versus 7,1% versus 24,7%, p < 0,001). A análise multivariada mostrou que o escore ALBI foi um preditor independente para ECAM intra-hospitalares (odds ratio ajustada = 2,80, IC 95%: 1,63 ­ 4,80, p < 0,001). Após seguimento mediano de 27 meses, 146 (14,2%) pacientes morreram. A curva de Kaplan-Meier indicou que a taxa cumulativa de sobrevida a longo prazo foi significativamente menor em pacientes com grau mais alto de ALBI (log-rank = 45,50, p < 0,001). O escore ALBI foi independentemente associado à mortalidade a longo prazo (hazard ratio ajustada = 2,84, IC 95%: 1,95 ­ 4,13, p < 0,001). CONCLUSÃO: O escore ALBI, como modelo de risco simples, pode ser considerado uma ferramenta de estratificação de risco para pacientes com CMD idiopática.

Estimated glomerular filtration rate derived from different formulas and prognosis in acute coronary syndrome: Findings from the improving care for cardiovascular disease in China-acute coronary syndrome project.

BACKGROUND: The optimal formula for the estimation of glomerular filtration rate (GFR) in patients with acute coronary syndrome (ACS) in terms of predicting in-hospital mortality and adverse events remains unclear. METHODS: A nationwide registry study, Improving CCC (Care for Cardiovascular Disease in China) ACS project, was launched in 2014 as a collaborative study of the American Heart Association and Chinese Society of Cardiology. The Cockcroft-Gault, modification of diet in renal disease (MDRD) formula for Chinese (C-MDRD), Mayo, and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas were used to calculate estimated GFR in 61,545 ACS patients (38,734 with ST-segment elevation myocardial infarction [STEMI] and 22,811 with non-ST-segment-elevation ACS [NSTE-ACS]). RESULTS: Prevalence of moderate to severe renal dysfunction was inconsistent among four formulas, ranging from 11.6% to 22.4% in NSTE-ACS and from 8.3% to 16.8% in STEMI, respectively. The in-hospital mortality rate in patients with ACS was inversely associated with estimated GFR. In STEMI, the Mayo-derived eGFR exhibited the highest predictive power for in-hospital death compared with the Cockcroft-Gault-derived eGFR (area under the curve [AUC]: 0.782 vs. 0.768, p=0.004), C-MDRD-derived eGFR (AUC: 0.782 vs. 0.740, p<0.001) and CKD-EPI-derived eGFR (AUC: 0.782 vs. 0.767, p<0.001). In NSTE-ACS, the Mayo-derived eGFR exhibited a similar predictive value with the Cockcroft-Gault (AUC: 0.781 vs. 0.787, p>0.05) and CKD-EPI-derived eGFR (AUC: 0.781 vs. 0.784, p>0.05). CONCLUSIONS: The Mayo formula was superior to Cockcroft-Gault, C-MDRD, and CKD-EPI formulas for predicting in-hospital mortality in ACS patients, especially for STEMI. The Mayo-derived eGFR may serve as a risk-stratification tool for in-hospital adverse events in ACS patients. CLINICAL TRIAL REGISTRATION: URL: http://www. CLINICALTRIALS: gov. Unique identifier: NCT02306616.

Escore Albumina-Bilirrubina para Predizer Desfechos em Pacientes com Cardiomiopatia Dilatada Idiopática / Albumin-Bilirubin Score to Predict Outcomes in Patients with Idiopathic Dilated Cardiomyopathy

Resumo Fundamento: A disfunção hepática é uma variável postulada de prognóstico desfavorável na cardiomiopatia dilatada (CMD). Objetivo: Este estudo teve como objetivo investigar o valor prognóstico do escore albumina-bilirrubina (ALBI), um modelo relativamente novo para a avaliação da função hepática, em pacientes com CMD idiopática. Métodos: Um total de 1.025 pacientes com CMD idiopática foram incluídos retrospectivamente e divididos em três grupos com base nos escores de ALBI: grau 1 (≤ −2,60, n = 113), grau 2 (−2,60 a −1,39, n = 835) e grau 3 (> −1,39, n = 77). Foi analisada a associação do escore ALBI com eventos clínicos adversos maiores (ECAM) intra-hospitalares e mortalidade a longo prazo. Valor de p inferior a 0,05 foi considerado estatisticamente significativo. Resultados: A taxa de ECAM intra-hospitalares foi significativamente maior nos pacientes com grau 3 (2,7% versus 7,1% versus 24,7%, p < 0,001). A análise multivariada mostrou que o escore ALBI foi um preditor independente para ECAM intra-hospitalares (odds ratio ajustada = 2,80, IC 95%: 1,63 - 4,80, p < 0,001). Após seguimento mediano de 27 meses, 146 (14,2%) pacientes morreram. A curva de Kaplan-Meier indicou que a taxa cumulativa de sobrevida a longo prazo foi significativamente menor em pacientes com grau mais alto de ALBI (log-rank = 45,50, p < 0,001). O escore ALBI foi independentemente associado à mortalidade a longo prazo (hazard ratio ajustada = 2,84, IC 95%: 1,95 - 4,13, p < 0,001). Conclusão: O escore ALBI, como modelo de risco simples, pode ser considerado uma ferramenta de estratificação de risco para pacientes com CMD idiopática.

Abstract Background: Liver dysfunction is a postulated variable for poor prognosis in dilated cardiomyopathy (DCM). Objective: This study aimed to investigate the prognostic value of the albumin-bilirubin (ALBI) score, a relatively new model for evaluating liver function, in patients with idiopathic DCM. Methods: A total of 1025 patients with idiopathic DCM were retrospectively included and divided into three groups based on ALBI scores: grade 1 (≤ −2.60, n = 113), grade 2 (−2.60 to −1.39, n = 835), and grade 3 (> −1.39, n = 77). The association of ALBI score with in-hospital major adverse clinical events (MACEs) and long-term mortality was analyzed. P-value less than 0.05 was considered statistically significant. Results: The in-hospital MACEs rate was significantly higher in the grade 3 patients (2.7% versus 7.1% versus 24.7%, p < 0.001). Multivariate analysis showed that ALBI score was an independent predictor for in-hospital MACEs (adjusted odds ratio = 2.80, 95%CI: 1.63 - 4.80, p < 0.001). After a median 27-month follow-up, 146 (14.2%) patients died. The Kaplan-Meier curve indicated that the cumulative rate of long-term survival was significantly lower in patients with higher ALBI grade (log-rank = 45.50, p < 0.001). ALBI score was independently associated with long-term mortality (adjusted hazard ratio = 2.84, 95%CI: 1.95 - 4.13, p < 0.001). Conclusion: ALBI score as a simple risk model could be considered a risk-stratifying tool for patients with idiopathic DCM.

A Risk Stratification Scheme for In-Hospital Cardiogenic Shock in Patients With Acute Myocardial Infarction.

Objective: Cardiogenic shock (CS) is the leading cause of death in patients with acute myocardial infarction (AMI) despite advances in care. This study aims to derive and validate a risk score for in-hospital development of CS in patients with AMI. Methods: In this study, we used the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) registry of 76,807 patients for model development and internal validation. These patients came from 158 tertiary hospitals and 82 secondary hospitals between 2014 and 2019, presenting AMI without CS upon admission. The eligible patients with AMI were randomly assigned to derivation (n = 53,790) and internal validation (n = 23,017) cohorts. Another cohort of 2,205 patients with AMI between 2014 and 2016 was used for external validation. Based on the identified predictors for in-hospital CS, a new point-based CS risk scheme, referred to as the CCC-ACS CS score, was developed and validated. Results: A total of 866 (1.1%) and 39 (1.8%) patients subsequently developed in-hospital CS in the CCC-ACS project and external validation cohort, respectively. The CCC-ACS CS score consists of seven variables, including age, acute heart failure upon admission, systolic blood pressure upon admission, heart rate, initial serum creatine kinase-MB level, estimated glomerular filtration rate, and mechanical complications. The area under the curve for in-hospital development of CS was 0.73, 0.71, and 0.85 in the derivation, internal validation and external validation cohorts, respectively. Conclusion: This newly developed CCC-ACS CS score can quantify the risk of in-hospital CS for patients with AMI, which may help in clinical decision making. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02306616.

Shock Index-C: An Updated and Simple Risk-Stratifying Tool in ST-Segment Elevation Myocardial Infarction.

Background: Shock index (heart rate/systolic blood pressure, SI) is a simple scale with prognostic value in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI). The present study introduces an updated version of SI that includes renal function. Methods: A total of 1,851 consecutive patients with STEMI undergoing PCI were retrospectively included at Cardiac Care Unit in Guangdong Provincial People's Hospital and divided into two groups according to their admission time: derivation database (from January 2010 to December 2013, n = 1,145) and validation database (from January 2014 to April 2016, n = 706). Shock Index-C (SIC) was calculated as (SI × 100)-estimated CCr. Calibration was evaluated using the Hosmer-Lemeshow statistic. The predictive power of SIC was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The predictive value and calibration of SIC for in-hospital death was excellent in derivation [area under the curve (AUC) = 0.877, p < 0.001; Hosmer-Lemeshow chi-square = 3.95, p = 0.861] and validation cohort (AUC = 0.868, p < 0.001; Hosmer-Lemeshow chi-square = 5.01, p = 0.756). SIC exhibited better predictive power for in-hospital events than SI (AUC: 0.874 vs. 0.759 for death; 0.837 vs. 0.651 for major adverse clinical events [MACEs]; 0.707 vs. 0.577 for contrast-induced acute kidney injury [CI-AKI]; and 0.732 vs. 0.590 for bleeding, all p < 0.001). Cumulative 1-year mortality was significantly higher in the upper SIC tertile (log-rank = 131.89, p < 0.001). Conclusion: SIC was an effective predictor of poor prognosis and may have potential as a novel and simple risk stratification tool for patients with STEMI undergoing PCI.

Prognostic value of D-dimer for adverse outcomes in patients with infective endocarditis: an observational study.

BACKGROUND: Increased D-dimer levels have been shown to correlate with adverse outcomes in various clinical conditions. However, few studies with a large sample size have been performed thus far to evaluate the prognostic value of D-dimer in patients with infective endocarditis (IE). METHODS: 613 patients with IE were included in the study and categorized into two groups according to the cut-off of D-dimer determined by receiver operating characteristic (ROC) curve analysis for in-hospital death: > 3.5 mg/L (n = 89) and ≤ 3.5 mg/L (n = 524). Multivariable regression analysis was used to determine the association of D-dimer with in-hospital adverse events and six-month death. RESULTS: In-hospital death (22.5% vs. 7.3%), embolism (33.7% vs 18.2%), and stroke (29.2% vs 15.8%) were significantly higher in patients with D-dimer > 3.5 mg/L than in those with D-dimer ≤ 3.5 mg/L. Multivariable analysis showed that D-dimer was an independent risk factor for in-hospital adverse events (odds ratio = 1.11, 95% CI 1.03-1.19, P = 0.005). In addition, the Kaplan-Meier curve showed that the cumulative 6-month mortality was significantly higher in patients with D-dimer > 3.5 mg/L than in those with D-dimer ≤ 3.5 mg/L (log-rank test = 39.19, P < 0.0001). Multivariable Cox regression analysis showed that D-dimer remained a significant predictor for six-month death (HR 1.11, 95% CI 1.05-1.18, P < 0.001). CONCLUSIONS: D-dimer is a reliable prognostic biomarker that independently associated with in-hospital adverse events and six-month mortality in patients with IE.

Melatonin alleviates lipopolysaccharide-induced myocardial injury by inhibiting inflammation and pyroptosis in cardiomyocytes.

BACKGROUND: Melatonin (MT) has been shown to protect against various cardiovascular diseases. However, the effect of MT on lipopolysaccharide (LPS)-induced myocardial injury is poorly understood. This study aims to evaluate the effects of MT on LPS-induced myocardial injury in vitro. METHODS: H9C2 cells were divided into a control group, MT group, LPS group, and MT + LPS group. The control group was treated with sterile saline solution, the LPS group received 8 µg/mL LPS for 24 h, MT + LPS cells were pretreated with 200 µmol/L MT for 2 h then with 8 µg/mL LPS for 24 h, and the MT group received only 200 µmol/L MT for 2 h. The CCK-8 assay and lactate dehydrogenase (LDH) activity assay were used to analyze cell viability and LDH release, respectively. Intracellular reactive oxygen species (ROS) and the rate of pyroptosis were measured using the fluorescent probe dichloro-dihydro-fluorescein diacetate (DCFH-DA) and propidium iodide (PI) staining, respectively. The cell supernatants were used to measure the levels of inflammatory cytokines, including IL-6, TNF-α, and IL-1ß by enzyme-linked immunosorbent assay (ELISA). The protein levels of iNOS, COX-2, NF-κB, p-NF-κB, NLRP3, caspase-1, and GSDMD were detected by western blot. RESULTS: MT pretreatment significantly improved LPS-induced myocardial injury by inhibiting inflammation and pyroptosis in H9C2 cells. Moreover, MT inhibited the activation of the NF-κB pathway, and reduced the expression of inflammation-related proteins (iNOS and COX-2), and pyroptosis-related proteins (NLRP3, caspase-1, and GSDMD). CONCLUSIONS: Our data suggests that MT can alleviate LPS-induced myocardial injury, providing novel insights into the treatment of sepsis-induced myocardial dysfunction.

Comparison of Prognostic Value Among 4 Risk Scores in Patients with Acute Coronary Syndrome: Findings from the Improving Care for Cardiovascular Disease in China-ACS (CCC-ACS) Project.

BACKGROUND Accurate risk assessment and prospective stratification are of great importance for treatment of acute coronary syndrome (ACS). However, the optimal risk evaluation systems for predicting different type of ACS adverse events in Chinese population have not been established. MATERIAL AND METHODS Our data were derived from the Improving Care for Cardiovascular Disease in China-ACS (CCC-ACS) Project, a multicenter registry program. We incorporated data on 44 750 patients in the study. We compared the performance of the following 4 different risk score systems with regard to prediction of in-hospital adverse events: the Global Registry for Acute Coronary Events (GRACE) risk score system; the age, creatinine and ejection fraction (ACEF) risk score system, and its modified version (AGEF), and the Canada Acute Coronary Syndrome (C-ACS) risk assessment system. RESULTS Admission AGEF risk score was a better prognosis index of potential for in-hospital mortality for patients with ST segment elevation myocardial infarction (STEMI) than GRACE risk score (AUC: 0.845 vs 0.819, P=0.012), ACEF (AUC: 0.845 vs 0.827, P=0.014), C-ACS (AUC: 0.845 vs 0.767, P<0.001). In patients with non-ST segment-elevation acute coronary syndrome (NSTE-ACS), there was no statistically significant difference between the GRACE risk scale and AGEF (AUC: 0.853 vs 0.832, P=0.140) for in-hospital death. CONCLUSIONS AGEF risk score showed a non-inferior utility compared with the other 3 scoring systems in estimating in-hospital mortality in ACS patients.

A risk score to predict in-hospital mortality in patients with acute coronary syndrome at early medical contact: results from the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) Project.

BACKGROUND: A number of models have been built to evaluate risk in patients with acute coronary syndrome (ACS). However, accurate prediction of mortality at early medical contact is difficult. This study sought to develop and validate a risk score to predict in-hospital mortality among patients with ACS using variables available at early medical contact. METHODS: A total of 62,546 unselected ACS patients from 150 tertiary hospitals who were admitted between 2014 and 2017 and enrolled in the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) project, were randomly assigned (at a ratio of 7:3) to a training dataset (n=43,774) and a validation dataset (n=18,772). Based on the identified predictors which were available prior to any blood test, a new point-based risk score for in-hospital death, CCC-ACS score, was derived and validated. The CCC-ACS score was then compared with Global Registry of Acute Coronary Events (GRACE) risk score. RESULTS: The in-hospital mortality rate was 1.9% in both the training and validation datasets. The CCC-ACS score, a new point-based risk score, was developed to predict in-hospital mortality using 7 variables that were available before any blood test including age, systolic blood pressure, cardiac arrest, insulin-treated diabetes mellitus, history of heart failure, severe clinical conditions (acute heart failure or cardiogenic shock), and electrocardiographic ST-segment deviation. This new risk score had an area under the curve (AUC) of 0.84 (P=0.10 for Hosmer-Lemeshow goodness-of-fit test) in the training dataset and 0.85 (P=0.13 for Hosmer-Lemeshow goodness-of-fit test) in the validation dataset. The CCC-ACS score was comparable to the Global Registry of Acute Coronary Events (GRACE) score in the prediction of in-hospital death in the validation dataset. CONCLUSIONS: The newly developed CCC-ACS score, which utilizes factors that are acquirable at early medical contact, may be able to stratify the risk of in-hospital death in patients with ACS. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT02306616.

Comparison of the preventive efficacy of rosuvastatin versus atorvastatin in post-contrast acute kidney injury in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

Statins have been shown to reduce the risk of post-contrast acute kidney injury (PC-AKI) in patients undergoing percutaneous coronary intervention (PCI). However, the preventive effect of rosuvastatin versus atorvastatin on PC-AKI in patients with ST-segment elevation myocardial infarction (STEMI) undergoing PCI remains unclear. Patients with STEMI undergoing PCI between January 2010 and May 2016 were consecutively enrolled. A total of 1300 included patients were divided into two groups according to the statin type (atorvastatin: n = 1040; rosuvastatin: n = 260). The primary endpoint was PC-AKI defined as an absolute increase of ≥ 0.5 mg/dL in the level of serum creatinine or an increase of ≥ 25 % over baseline within 48-72 h after contrast media exposure. In total, 245 (18.8 %) patients developed PC-AKI. The atorvastatin and rosuvastatin groups had similar rates of PC-AKI (19.1 % vs. 17.7 %, p = 0.595), in-hospital mortality (4.1 % vs. 3.8 %, p = 0.833), and major adverse clinical events (MACE). Multivariate logistic regression analysis revealed that rosuvastatin treatment had an effect similar to atorvastatin regarding PC-AKI (odds ratio [OR] = 0.97, 95 % confidence interval [CI], 0.66-1.43, p = 0.874). Propensity score analyses and subgroup analysis demonstrated similar results for PC-AKI. Kaplan-Meier survival curves and Cox proportional regression showed that the atorvastatin and rosuvastatin groups had no differences regarding follow-up mortality. Rosuvastatin exerted a similar preventive effect against PC-AKI and showed similar levels of in-hospital and follow-up all-cause mortality and in-hospital MACE compared with atorvastatin in patients with STEMI undergoing PCI.

The prognostic nutritional index might predict clinical outcomes in patients with idiopathic dilated cardiomyopathy.

BACKGROUND AND AIMS: The prognostic nutritional index (PNI) had been associated with adverse outcomes in numerous clinical conditions. However, its influence on idiopathic dilated cardiomyopathy (DCM) was not determined. This aim of this study was to determine the predictive ability of PNI in patients with idiopathic DCM. METHODS AND RESULTS: A total of 1021 consecutive patients with idiopathic DCM were retrospectively included and divided into three groups based on admission PNI tertiles: <41.7 (n = 339), 41.7-47.3 (n = 342), >47.3 (n = 340). The association of PNI with in-hospital major adverse clinical events (MACEs) and death during follow-up was evaluated. In-hospital mortality (2.9% vs. 1.5% vs. 0.0%, respectively; p = 0.006) and MACEs (13.6% vs. 6.7% vs. 3.5%, respectively; p < 0.001) decreased from the lowest to the highest PNI tertile. The optimal cut-off value of PNI to predict in-hospital MACEs was 44.0 (area under the curve: 0.689; 95% confidence interval [CI]: 0.626-0.753; p < 0.001). Multivariate analysis showed that a PNI≤44.0 was an independent risk factor of in-hospital MACEs (odd ratio: 2.86; 95% CI: 1.64-4.98; p < 0.001) and all-cause mortality at a median follow-up of 27 months (hazard ratio: 1.67; 95% CI: 1.11-2.49; p = 0.013). In addition, patients with a PNI≤44.0 had a lower cumulative survival rate during follow-up (log-rank: 35.62; p < 0.001). CONCLUSION: The PNI was an independent risk factor for in-hospital MACEs and all-cause mortality at a median follow-up of 27 months in patients with idiopathic DCM; hence, it may be considered a tool for risk assessment.

Incidence, Risk Factors and Subsequent Prognostic Impact of New-Onset Atrial Fibrillation in Infective Endocarditis.

BACKGROUND: Few studies with a large sample size have been performed to evaluate the incidence, risk factors and prognostic value of new-onset atrial fibrillation (AF) in patients with infective endocarditis (IE).Methods and Results:A total of 1,063 IE patients were included and 83 developed new AF. Compared with no-AF, the incidence of in-hospital death (6.0% vs. 22.9%, P<0.001) was higher in patients with new-onset AF. New-onset AF was independently associated with increased risk of in-hospital (adjusted odds ratio [OR]=3.92, P=0.001) and 1-year death (adjusted hazard ratio=2.91, P=0.001), while prior AF was not an independent factor. Kaplan-Meier curve analysis demonstrated new-onset AF mainly affected short-term death (180 days). Age (OR=1.04, P<0.001), rheumatic heart disease (OR=1.88, P=0.022), NYHA Class III or IV (OR=2.09, P=0.003), and left atrial diameter (LAD; OR=1.05, P=0.006) were independent risk factors for development of new AF. CONCLUSIONS: New-onset AF, not prior AF, was a prognostic factor in IE patients, which was mainly associated with increased risk of short-term death. Patients with concomitant rheumatic heart disease, poor cardiac function, and larger LAD had higher risk of developing new AF.

Effect of conjugated bilirubin on clinical outcomes in infective endocarditis.

Liver dysfunction is associated with adverse events in infective endocarditis (IE). However, few studies have explored the predictive value of conjugated bilirubin (CB) in IE. We aimed to investigate the nature of the link between CB and adverse prognosis in patients with IE. Consecutive patients with IE between January 2009 and July 2015 were enrolled. Multivariate analysis was performed to confirm whether CB was an independent risk factor for adverse outcomes. In all, 1010 patients were included and divided into two groups according to admission CB level (µmol/L): normal (≤ 7.0, n = 820) and elevated (> 7.0, n = 190) CB groups. In-hospital mortality (5.0% vs. 22.1%, p < 0.001) and major adverse cardiac events (16.8% vs. 36.3%, p < 0.001) were significantly higher in patients with increased CB. A possible J-shaped relationship was found between CB and in-hospital events. Further, CB had more predictive power than total bilirubin in predicting in-hospital death (AUC 0.715 vs. 0.674, p = 0.010). Elevated CB was an independent predictor of in-hospital death (adjusted OR = 2.62, 95%CI 1.40-4.91, p = 0.003). Moreover, CB (increment 1 µmol/L) was independently associated with higher long-term mortality. Kaplan-Meier curves indicated that patients with elevated CB were associated with higher cumulative rate of long-term death (log-rank = 21.47, p < 0.001). CB, a biomarker of liver function, was a relatively powerful predictor of in-hospital and long-term adverse prognosis of IE and could likely comprise a novel risk evaluation strategy.

Prognostic value of spot testing urine pH as a novel marker in patients with ST-segment elevation myocardial infarction.

Aim: To investigate the relationship between urinary pH (UpH) and clinical outcome in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention. Methods: Data of 2081 patients with ST-segment elevation myocardial infarction were analyzed, including UpH. Patients were divided into UpH <6.0, 6.0≤ UpH <7.0 and UpH ≥7.0 based on UpH level. The primary outcome was in-hospital all-cause mortality and major adverse clinical events. Results: The incidence of in-hospital clinical outcomes was significantly higher in low UpH group. Multivariate analysis found low UpH (<6.0) was an independent predictor of in-hospital all-cause mortality (OR: 2.85) and major adverse clinical events (OR: 2.39). A Kaplan-Meier analysis showed long-term all-cause mortality was also significantly higher in low UpH group. The multivariate cox analysis demonstrated that low UpH was an independent predictor of long-term all-cause mortality (HR: 2.57). Conclusion: Low UpH is a simple, accessible and powerful marker of poor clinical outcomes in such patients.

Apolipoprotein A-I: A favorable prognostic marker in infective endocarditis.

BACKGROUND: Decreased apolipoprotein A-I (apoA-I) and high-density lipoprotein cholesterol (HDL-C) are common in inflammation and sepsis. No study with a large sample size has been performed to investigate the prognostic value of apoA-I or HDL-C in infective endocarditis (IE). OBJECTIVE: The present study aimed to explore the prognostic value of apoA-I and HDL-C for adverse outcomes in IE patients. METHODS: Patients with a definite diagnosis of IE between January 2009 and July 2015 were enrolled and divided into 3 groups according to their apoA-I tertiles at admission. Univariate and multivariate analyses were performed to evaluate the relationship of apoA-I and HDL-C with clinical outcomes. RESULTS: Of the 593 included patients, 40 (6.7%) died in hospital. Patients with lower apoA-I experienced markedly higher rates of in-hospital mortality (10.7%, 7.0%, and 2.5% in tertiles 1-3, respectively; P = .006) and major adverse clinical events (32.5%, 24.1%, and 8.6% in tertiles 1-3, respectively; P < .001). ApoA-I (area under the curve, 0.671; P < .001) and HDL-C (area under the curve, 0.672; P < .001) had predictive values for in-hospital death. Multivariate logistic regression showed that apoA-I <0.90 g/L and HDL-C <0.78 mmol/L were independent risk predictors for in-hospital death. A multivariate Cox proportional hazard analysis revealed that apoA-I (increments of 1 g/L; hazard ratio, 0.36; 95% confidence interval, 0.15-0.87; P = .023) and HDL-C (increments of 1 mmol/L; hazard ratio, 0.38; 95% confidence interval, 0.18-0.83; P = .015) were independently associated with long-term mortality. CONCLUSIONS: ApoA-I and HDL-C were inversely associated with adverse IE prognosis.

Novel Risk Biomarker for Infective Endocarditis Patients With Normal Left Ventricular Ejection Fraction　- Monocyte to High-Density Lipoprotein Cholesterol Ratio.

BACKGROUND: The monocyte to high-density lipoprotein cholesterol ratio (MHR) appears to be a newly emerging inflammatory marker. However, its prognostic value in patients with infective endocarditis (IE) and normal left ventricular ejection fraction (LVEF) has been unclear.Methods and Results:We enrolled consecutive patients with IE and normal LVEF and divided into 3 groups based on the tertiles of MHR. Of 698 included patients, 44 (6.3%) died while in hospital. The occurrence of in-hospital death (3.9%, 4.3%, and 10.8%, P=0.003) and of major adverse clinical events (MACEs) (15.6%, 20.9%, and 30.6%, P<0.001) increased from the lowest to the highest MHR tertiles, respectively. Receiver-operating characteristic analysis demonstrated that MHR had good predictive value for in-hospital death (area under the curve [AUC] 0.670, 95% confidence interval [CI] 0.58-0.76, P<0.001) and was similar to C-reactive protein (AUC 0.670 vs. 0.702, P=0.444). Furthermore, MHR >21.3 had a sensitivity of 74.4% and specificity of 57.6% for predicting in-hospital death. Multiple analysis showed that MHR >21.3 was an independent predictor of both in-hospital (odds ratio 3.98, 95% CI 1.91-8.30, P<0.001) and long-term death (hazard ratio 2.29, 95% CI 1.44-3.64, P<0.001) after adjusting for age, female, diabetes mellitus, estimated glomerular filtration rate <90 mL/min/1.73 m2, and surgical treatment. Kaplan-Meier survival curves showed that patients with MHR >21.3 had an increased rate of long-term death compared to those without (P=0.002). CONCLUSIONS: Elevated MHR was independently associated with in-hospital and long-term death in patients with IE and normal LVEF.

[Relationship between hyperuricemia and adverse events in patients aged 40 years or older receiving rheumatic aortic valve replacement].

OBJECTIVE: To explore the prognostic value of hyperuricemia for adverse events in patients >40 years old receiving valve replacement surgery for rheumatic aortic valve disease. METHDS: Consecutive middle-aged and elderly patients receiving aortic valve replacement surgery for rheumatic aortic valve disease between March, 2009 and July, 2013 were recruited in this study. The patients were divided into hyperuricemic group and normouricemic group based on their serum levels of uric acid, and the clinical data and adverse events within 1 year after the surgery were compared between the 2 groups. RESULTS: A total of 632 consecutive patients were recruited, including 381 patients with hyperuricemia and 251 with normouricemia. The in-hospital mortality rate was significantly higher in hyperuricemic group than in normouricemic group (7.6% vs 2.0%, P=0.002). Serum uric acid levels were negatively correlated with eGFR (r=-0.421, P<0.001) and positively correlated with C-reactive protein level (r=0.093, P=0.025). Multivariate analysis showed that hyperuricemia was independently associated with the in-hospital mortality (OR=3.07, 95%CI: 1.13-8.37, P=0.028) and mortality at 1 year after the surgery (HR=3.14, 95%CI: 1.30-7.62, P=0.011) after adjusting for potential risk factors including age, NYHA III-IV and postoperative acute kidney injury (AKI). Kaplan-Meier analysis showed that the cumulative rate of 1-year mortality after surgery was significantly higher in patients with hyperuricemia (Log-rank=11.73, P=0.001). CONCLUSION: Hyperuricemia is a predictor of in-hospital and one-year mortality in middle-aged and elderly patients following aortic valve replacement surgery for rheumatic aortic valve disease.