暂无摘要。

UNASSIGNED: To evaluate the effectiveness of monitoring and managing process quality control indicators in the prevention of constipation among hospitalized patients with acute coronary syndrome (ACS).
UNASSIGNED: A total of 512 hospitalized patients diagnosed with ACS between January and June 2022 were screened for inclusion in the study. Ultimately, 456 eligible participants were enrolled and divided into two groups based on the chronological order of admission: the control group and the observation group. Upon admission, both groups of patients received routine constipation prevention measures in the department. However, the observation group was subjected to targeted process quality control management, which included monitoring and managing five indicators related to constipation prevention: correctness of bowel movement recording; usage rate of laxatives; execution rate of physical interventions; implementation rate of constipation prevention education; completion rate of dietary structure and habit assessments. Data were analyzed using SPSS, with t tests and χ 2 tests for group comparisons.
UNASSIGNED: In comparison to the control group, the observation group demonstrated significant advantages in terms of constipation incidence, completion rates of the five process quality control indicators, occurrence rates of adverse cardiac events during defecation, and PHQ-9 scores before discharge. These disparities demonstrated statistical significance with a p value < 0.05.
UNASSIGNED: Target-oriented process quality control management is shown to be effective in reducing constipation incidence and adverse cardiac events during constipation episodes, as well as alleviating depressive symptoms among ACS patients, thus providing a safe and effective approach to constipation prevention.

BACKGROUND: Acute coronary syndrome (ACS) is one of the common causes of cardiovascular death. The related lncRNAs were novel approaches for early diagnosis and intervention. This paper focused on the clinical function of SNHG7 for patients after PCI.
METHODS: The expression of SNHG7 was assessed in ACS patients. The predictive roles of SNHG7 were unveiled by the ROC curve. The relationship between SNHG7 and Gensini scores was judged by Pearson analysis. One-year follow-up was conducted and all patients were catalogued into different groups based on the prognosis. The qRT-PCR, K-M curve, and Cox regression analysis were performed to document the prognostic significance of SNHG7.
RESULTS: SNHG7 was highly expressed in ACS and its three subtypes. SNHG7 showed a certain value in predicting ACS, UA, NSTEMI, and STEMI. Gensini is a closely correlated indicator of SNHG7. The declined expression of SNHG7 was observed in the non-MACE and survival groups. The risk of MACE and death was increased in the group with high expression of SNHG7. SNHG7 was an independent biomarker in patients with ACS after PCI.
CONCLUSIONS: SNHG7 might be a diagnostic and prognostic tool for ACS patients.

To investigate the impacts of circ_0069094 on acute coronary syndrome. Real-time polymerase chain reaction was used to detect the expression levels of circ_0069094, and its diagnostic performance was evaluated using ROC curve. Spearman\'s method was performed for correlation analysis. The levels of SOD, MDA, vWF in ACS rat models were assessed by commercial kits. The activities of H/R cell models were detected by CCK-8, Transwell, flow cytometry. The GO and KEGG were performed to analyze the function of targeted genes of miR-484. The concentration of circ_0069094 was decreased in patients with ACS, ACS rat models and H/R HUVEC models. The dysfunction of SOD, MDA, vWF, LVIDs, LVDD, and LVEF in the ACS models was regulated by the increase of circ_0069094. The viability, migration, apoptosis of the H/R models were regulated by circ_0069094. MiR-484 was a ceRNA of circ_0069094 and mediated the function of circ_0069094.

The atherogenic index of plasma (AIP) has been demonstrated to be significantly associated with the incidence of prediabetes and diabetes. This study aimed to investigate the association between the AIP and undiagnosed diabetes in acute coronary syndrome (ACS) patients.
Among 113,650 ACS patients treated with coronary angiography at 240 hospitals in the Improving Care for Cardiovascular Disease in China-ACS Project from 2014 to 2019, 11,221 patients with available clinical and surgical information were included. We analyzed these patients\' clinical characteristics after stratification according to AIP tertiles, body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) levels.
The AIP was independently associated with a greater incidence of undiagnosed diabetes. The undiagnosed diabetes was significantly greater in the T3 group than in the T1 group after adjustment for confounders [T3 OR 1.533 (1.199-1.959) p < 0.001]. This relationship was consistent within normal weight patients and patients with an LDL-C level ≥ 1.8 mmol/L. In overweight and obese patients, the AIP was significantly associated with the incidence of undiagnosed diabetes as a continuous variable after adjustment for age, sex, and BMI but not as a categorical variable. The area under the receiver operating characteristic curve (AUC) of the AIP score, triglyceride (TG) concentration, and HDL-C concentration was 0.601 (0.581-0.622; p < 0.001), 0.624 (0.603-0.645; p < 0.001), and 0.493 (0.472-0.514; p = 0.524), respectively. A nonlinear association was found between the AIP and the incidence of undiagnosed diabetes in ACS patients (p for nonlinearity < 0.001), and this trend remained consistent between males and females. The AIP may be a negative biomarker associated with undiagnosed diabetes ranging from 0.176 to 0.738.
The AIP was significantly associated with the incidence of undiagnosed diabetes in ACS patients, especially in those with normal weight or an LDL-C level ≥ 1.8 mmol/L. A nonlinear relationship was found between the AIP and the incidence of undiagnosed diabetes, and this trend was consistent between male and female patients. The AIP may be a negative biomarker associated with undiagnosed diabetes and ranges from 0.176 to 0.738.

UNASSIGNED: We aimed to establish and authenticate a clinical prognostic nomogram for predicting long-term Major Adverse Cardiovascular Events (MACEs) among high-risk patients who have undergone Percutaneous Coronary Intervention (PCI) in county-level health service.
UNASSIGNED: This prospective study included Acute Coronary Syndrome (ACS) patients treated with PCI at six county-level hospitals between September 2018 and August 2019, selected from both the original training set and external validation set. Least Absolute Shrinkage and Selection Operator (LASSO) regression techniques and logistic regression were used to assess potential risk factors and construct a risk predictive nomogram. Additionally, the potential non-linear relationships between continuous variables were tested using Restricted Cubic Splines (RCS). The performance of the nomogram was evaluated based on the Receiver Operating Characteristic (ROC) curve analysis, Calibration Curve, Decision Curve Analysis (DCA), and Clinical Impact Curve (CIC).
UNASSIGNED: The original training set and external validation set comprised 520 and 1,061 patients, respectively. The final nomogram was developed using nine clinical variables: Age, Killip functional classification III-IV, Hypertension, Hyperhomocysteinemia, Heart failure, Number of stents, Multivessel disease, Low-density Lipoprotein Cholesterol, and Left Ventricular Ejection Fraction. The AUC of the nomogram was 0.79 and 0.75 in the training set and external validation set, respectively. The DCA and CIC validated the clinical value of the constructed prognostic nomogram.
UNASSIGNED: We developed and validated a prognostic nomogram for predicting the probability of 3-year MACEs in ACS patients who underwent PCI at county-level hospitals. The nomogram could provide a precise risk assessment for secondary prevention in ACS patients receiving PCI.

UNASSIGNED: The majority of existing studies examining the association between anaemia and the prognosis of patients with acute coronary syndrome (ACS) have focused on all patients with ACS without further categorisation. As a result, there is a dearth of research specifically exploring the relationship between anaemia and the long-term prognosis of patients with non-ST segment elevation myocardial infarction (NSTEMI). To address this gap, this study aimed to investigate the correlation between anaemia and the long-term prognosis of NSTEMI patients.
UNASSIGNED: This study included 482 NSTEMI patients who underwent percutaneous coronary intervention (PCI) at the First Affiliated Hospital of Chongqing Medical University from September 1, 2016 to May 31, 2022, and the patients were classified into the major adverse cardiovascular events (MACE) group and non-MACEs group according to whether or not they had developed MACE as of February 28, 2023 at follow-up.COX regression analysis was used to assess whether anaemia was an independent factor influencing MACE occurrence in patients with NSTEMI. Receiver operating characteristic (ROC) curve analysis was conducted to determine if haemoglobin levels could enhance the predictive capacity of the Global Registry of Acute Coronary Events (GRACE) score for the prognosis of NSTEMI patients. Haemoglobin levels were categorised into two groups based on the optimal cut-off value and transformed into binary data. The log-rank test was performed to compare the two groups, and a risk function was plotted.
UNASSIGNED: During a median follow-up period of 31 months, 124 (25.7%) MACE were identified. Univariate and multivariate COX regression analyses revealed that sex, age, smoking history, diabetes, creatinine, erythrocyte count, and haemoglobin level were independent risk factors that significantly influenced survival time. Subsequently, ROC curve analysis was performed to evaluate the predictive accuracy of specific variables. When the cut-off value for the decline ratio of haemoglobin was set at 128.50, the area under the curve (AUC) was determined to be 0.604, with a sensitivity of 0.403 and a specificity of 0.771. Similarly, setting the cut-off value for the reduction ratio of the GRACE score at 141.5 yielded an AUC of 0.700, with a sensitivity of 0.645 and a specificity of 0.709. Furthermore, when the cut-off value for the predicted probability of haemoglobin combined with the GRACE score was 0.270, the AUC was calculated as 0.702, with a sensitivity of 0.677 and a specificity of 0.696.
UNASSIGNED: Haemoglobin levels were identified as an independent factor influencing the survival duration of patients with NSTEMI.

Acute coronary syndrome (ACS) and non-alcoholic fatty liver disease (NAFLD) are two clinically common disease entities that share numerous risk factors. This review aimed to discuss the impacts of NAFLD on ACS.
In an era of improved control of traditional risk factors, the substantial burden of cardiometabolic abnormalities has caused widespread concern. NAFLD is considered the hepatic component of metabolic syndrome, which can exert an impact on human health beyond the liver. Accumulating studies have demonstrated that NAFLD is closely related to cardiovascular disease, especially coronary artery disease. Interestingly, although recent data have suggested an association between NAFLD and the incidence and outcomes of ACS, the results are not consistent. In this review, we comprehensively summarized evidence and controversies regarding whether NAFLD is a contributor to either the development of ACS or worse outcomes in patients with ACS. The potential pathophysiological and molecular mechanisms involved in the impacts of NAFLD on ACS were also elucidated.

OBJECTIVE: To construct and validate a nomogram for predicting depression after acute coronary stent implantation for risk assessment.
METHODS: This study included 150 patients with acute coronary syndrome (ACS) who underwent stent implantation. Univariate analysis was performed to identify the predictors of postoperative depression among the 24 factors. Subsequently, multivariate logistic regression was performed to incorporate the significant predictors into the prediction model. The model was developed using the \"rms\" software package in R software, and internal validation was performed using the bootstrap method.
RESULTS: Of the 150 patients, 82 developed depressive symptoms after coronary stent implantation, resulting in an incidence of depression of 54.7%. Univariate analysis showed that sleep duration ≥7 h, baseline GAD-7 score, baseline PHQ-9 score, and postoperative GAD-7 score were associated with the occurrence of depression after stenting in ACS patients (all p < 0.05). Multivariate logistic regression analysis revealed that major life events in the past year (OR = 2.783,95%CI: 1.121-6.907, p = 0.027), GAD-7 score after operation (OR = 1.165, 95% CI: 1.275-2.097, p = 0.000), and baseline PHQ-9 score (OR = 3.221, 95%CI: 2.065-5.023, p = 0.000) were significant independent risk factors for ACS patients after stent implantation. Based on these results, a predictive nomogram was constructed. The model demonstrated good prediction ability, with an AUC of 0.857 (95% CI = 0.799-0.916). The correction curve showed a good correlation between the predicted results and the actual results (Brier score = 0.15). The decision curve analysis and prediction model curve had clinical practical value in the threshold probability range of 7 to 94%.
CONCLUSIONS: This nomogram can help to predict the incidence of depression and has good clinical application value. This trial is registered with ChiCTR2300071408.

UNASSIGNED: We investigated the hypothesis that MHR (monocyte-to-high density lipoprotein cholesterol ratio) is related to the severity of coronary artery in ACS (acute coronary syndrome).
UNASSIGNED: In this case-control study, we recruited 15,853 participants undergoing the first time percutaneous coronary intervention (PCI) including 4093 normal controls, 10,518 chronic coronary artery disease (CAD), and 1242 ACS cases. Examination of demographic clinical data and biochemical profiles, as well as MHR values, were performed before PCI. The relationship between MHR and severity of coronary artery lesion in ACS was analyzed. We also used a flow cytometric assay to distinguish CD14+/CD16- classical monocyte subsets in peripheral blood mononucleated cells from CAD patients.
UNASSIGNED: MHR was higher in patients with ACS compared with MHR in normal control and chronic CAD (normal control vs chronic CAD vs ACS: 0.46 ± 0.27 × 109/mmol vs 0.53 ± 0.29 × 109/mmol vs 0.73 ± 0.47 × 109/mmol, P < 0.001). MHR showed a significantly progressive increase as the angiographic severity of coronary lesions increased (single vessel lesion vs multi-vessel lesions in ACS: 0.54 ± 0.31 × 109/mmol vs 0.58 ± 0.35 × 109/mmol, P < 0.001), and classical monocyte subset to HDL-C ratio (CMHR) was increased in with CAD patients compared with control [4.69 (IQR, 1.06, 2.97) × 103/mmol vs 1.92 (IQR, 0.92, 3.04) × 103/mmol, P = 0.02]. Using a multivariate analysis, after adjusting for age, gender, body mass index (BMI), diabetes, and dyslipidemia, MHR was positively associated with multi-vessel lesions in ACS [OR (odds ratio): 1.28 (95% CI: 1.03-1.59, P = 0.029)].
UNASSIGNED: MHR level could be a potential predictor of coronary artery lesion severity in ACS.