The Pan-Immune Inflammation Value at Admission Predicts Postoperative in-hospital Mortality in Patients with Acute Type A Aortic Dissection.

Purpose: The inflammatory response of the body is intimately linked to the quick onset and high in-hospital mortality of Acute Type A Aortic Dissection (ATAAD). The purpose of the study was to examine the connection between in-hospital mortality in patients with ATAAD upon admission and the Pan-Immune-Inflammation Value (PIV). Patients and Methods: 308 patients who were diagnosed with ATAAD between September 2018 and October 2021 at Fujian Provincial Center for Cardiovascular Medicine had their clinical data retrospectively examined. PIV was assessed at the time of study population admission, with in-hospital mortality serving as the main outcome measure. Patients were divided into two groups, the high PIV group (PIV > 1807.704) and the low PIV group (PIV < 1807.704), based on the PIV ROC curve and the best threshold of the Youden index. The clinical results of the two groups were then compared. Results: Among ATAAD patients, postoperative in-hospital mortality was higher in the high PIV group (54.7% vs 10.6%, P < 0.001), and the high PIV group had significantly higher rates of postoperative acute kidney injury, acute liver insufficiency, and gastrointestinal hemorrhage (P < 0.05). Additionally, the high PIV group's ICU stays lasted longer than the low PIV group's (P < 0.05). The results of multifactorial logistic regression analysis, which controlled for other variables, indicated that the mechanical ventilation time (OR = 1.860, 95% CI: 1.437, 2.408; P < 0.001), the high PIV group (> 1807.704) (OR = 1.939, 95% CI: 1.257, 2.990; P = 0.003), the cardiopulmonary bypass time (OR = 1.011, 95% CI: 1.004, 1.018; P = 0.002), and the white blood cell count (OR = 1.188, 95% CI: 1.054, 1.340; P = 0.005) were independent risk factors for postoperative in-hospital mortality in ATAAD patients. Conclusion: Postoperative death in ATAAD patients was independently predicted by high PIV levels at admission. Patients should be informed about their preoperative inflammatory status and actively participate in prompt clinical decision-making and treatment.

Predictive value of inflammatory prognostic index for contrast-induced nephropathy in patients undergoing coronary angiography and/or percutaneous coronary intervention.

The purpose of this study was to investigate the relationship between Inflammatory Prognostic Index (IPI) levels and Contrast-Induced Nephropathy (CIN) risk and postoperative clinical outcomes in patients undergoing coronary angiography (CAG) and/or percutaneous coronary intervention (PCI). A total of 3,340 consecutive patients who underwent CAG and/or PCI between May 2017 and December 2022 were enrolled in this study. Based on their baseline IPI levels, patients were categorized into four groups. Clinical characteristics and postoperative outcomes were compared among these groups. In-hospital outcomes focused on CIN risk, repeated revascularization, major bleeding, and major adverse cardiovascular events (MACEs), while the long-term outcome examined the all-cause readmission rate. Quartile analysis found a significant link between IPI levels and CIN risk, notably in the highest quartile (P < 0.001). Even after adjusting for baseline factors, this association remained significant, with an adjusted Odds Ratio (aOR) of 2.33 (95%CI 1.50-3.64; P = 0.001). Notably, baseline IPI level emerged as an independent predictor of severe arrhythmia, with aOR of 0.50 (95%CI 0.35-0.69; P < 0.001), particularly driven by the highest quartile. Furthermore, a significant correlation between IPI and acute myocardial infarction was observed (P < 0.001), which remained significant post-adjustment. For patients undergoing CAG and/or PCI, baseline IPI levels can independently predict clinical prognosis. As a comprehensive inflammation indicator, IPI effectively identifies high-risk patients post-procedure. This study underscores IPI's potential to assist medical professionals in making more precise clinical decisions, ultimately reducing mortality and readmission rates linked to cardiovascular disease (CVD).

The effect of prognostic nutritional index on diabetic patients with myocardial infarction.

BACKGROUND: The prognostic nutritional index (PNI), a simple and comprehensive predictor of nutritional and immunological health, is connected to cancer and cardiovascular disease. The effects of PNI on myocardial infarction (MI) in individuals with diabetes remain unclear. Thus, we aim to investigate the correlation of PNI with predictive outcomes in this specific population group to inform therapeutic decision-making. METHODS: This prospective observational study included 417 diabetic patients with MI who underwent coronary angiography intervention at Fujian Medical University Union Hospital from May 2017 to May 2020. We collected follow-up and prognostic data from these patients at 6, 12, 18, and 24 months post-procedure via outpatient visits or phone interviews. The main focus of the study was on major adverse cardiovascular events (MACE) in the two years after surgery. Based on the median PNI, patients were categorized into two groups: high PNI (H-PNI) and low PNI (L-PNI). Data were analyzed using IBM SPSS 25.0. Kalpan-Meier survival curves and Cox proportional hazards regression analysis were utilized to examine the associations between preoperative PNI and the prognosis of diabetic patients with MI. RESULTS: In the study, 417 participants were observed for two years. Of these patients, 159 (38.1%) had MACE. According to the Kaplan-Meier curves, patients in the L-PNI group had more MACE than those in the H-PNI group (log-rank p < 0.001) and had a heightened susceptibility to all categories of MACE. After adjusting for confounding variables, the corrected hazard ratio for developing unstable angina in the L-PNI group was 2.55 (95% CI 1.57-4.14, p < 0.001). CONCLUSION: Low PNI levels are associated with MACE after coronary angiography intervention in diabetic patients with myocardial infarction. This highlights the prognostic value of PNI and broadens its potential use in larger populations. TRIAL REGISTRATION: Not applicable.

Compilation of a self-management assessment scale for postoperative patients with aortic dissection.

Objective: The aim of this research was to compile a self-management assessment scale for patients with aortic dissection (AD). The questionnaire is useful in making the patient aware of the need for post-operative care in order to contribute to improving the outcome and quality of life. Methods: The initial version of the "postoperative self-management assessment scale for patients with aortic dissection" was developed using the Delphi expert consultation method based on qualitative research results, consultation of self-management-related literature, reference to the existing self-management scale, and self-efficacy theory, combined with the disease characteristics of AD. By using the convenience sampling method, a total of 201 patients with AD who had undergone surgery were selected as the research participants. The initial version of the scale was used for follow-up investigation, and the scale entries were evaluated and exploratory factor analysis carried out to form the formal version of the "postoperative self-management assessment scale for patients with aortic dissection." A total of 214 patients with AD after surgery were selected as the research participants. The formal version of the scale was used for follow-up investigation, and its reliability and validity were evaluated. Results: The formal version of the scale had 6 dimensions and 35 entries. The Cronbach's α coefficient for the total scale was 0.908, the split-half reliability was 0.790, and the test-retest reliability after 2 weeks was 0.471. The content validity index of the total scale was 0.963. Exploratory factor analysis yielded six common factors, and the cumulative contribution rate of variance was 66.303%. Confirmatory factor analysis showed that except for the incremental fit index, Tucker-Lewis index, and comparative fit index >0.85, slightly lower than 0.90, χ 2/df <3, root mean square of approximation <0.08, parsimonious goodness-of-fit index, and parsimonious normed fit index >0.50; all other model fitting requirements were satisfied, indicating that the model fitting was acceptable. Conclusion: We compiled the postoperative self-management assessment scale for patients with AD, which has demonstrated excellent reliability and validity and can be used as a tool to evaluate the postoperative self-management level in patients with aortic dissection.

Unconventional human CD61 pairing with CD103 promotes TCR signaling and antigen-specific T cell cytotoxicity.

Cancer remains one of the leading causes of mortality worldwide, leading to increased interest in utilizing immunotherapy strategies for better cancer treatments. In the past decade, CD103+ T cells have been associated with better clinical prognosis in patients with cancer. However, the specific immune mechanisms contributing toward CD103-mediated protective immunity remain unclear. Here, we show an unexpected and transient CD61 expression, which is paired with CD103 at the synaptic microclusters of T cells. CD61 colocalization with the T cell antigen receptor further modulates downstream T cell antigen receptor signaling, improving antitumor cytotoxicity and promoting physiological control of tumor growth. Clinically, the presence of CD61+ tumor-infiltrating T lymphocytes is associated with improved clinical outcomes, mediated through enhanced effector functions and phenotype with limited evidence of cellular exhaustion. In conclusion, this study identified an unconventional and transient CD61 expression and pairing with CD103 on human immune cells, which potentiates a new target for immune-based cellular therapies.

Association Between Remnant Cholesterol and Contrast-Induced Nephropathy in Patients Undergoing Coronary Angiography and/or Percutaneous Coronary Intervention.

Contrast-induced nephropathy (CIN) is an acute renal complication that can occur after the use of iodinated contrast media. Remnant cholesterol (RC) is one of the markers of atherosclerotic cardiovascular disease risk. We evaluated the impact of RC on CIN and clinical outcomes after coronary angiography (CAG) and/or percutaneous coronary intervention (PCI). Consecutive patients (n = 3332) undergoing CAG and/or PCI were assessed in this retrospective study. Patients were divided into four groups based on baseline RC levels. In the quartile analysis, RC were associated with a higher risk of CIN, especially when RC ≤0.20 or ≥0.38 mmol/L (P < .05). However, after adjustment, the association of RC with CIN was not significant. There was a significant correlation between RC and repeated revascularization in patients undergoing PCI (P < .001) and driven primarily by the highest quartile level. After adjustment, this remained statistically significant (adjusted odds ratio (aOR) 4.06; 95% CI 2.10-7.87; P < .001). This is the first large study to show a possible association between RC and the risk of CIN after CAG and/or PCI; however, this finding was not further confirmed after adjustment. The complex clinical risk profile of patients, rather than RC itself, may contribute to the risk of CIN in this high-risk subgroup.

Blood-urea-nitrogen-to-serum-albumin ratio in predicting the value of patients with contrast-induced nephropathy for coronary heart disease.

BACKGROUND: The blood-urea-nitrogen (BUN)-to-serum-albumin (ALB) ratio (BAR) has been identified as a novel indicator of both inflammatory and nutritional status, exhibiting a correlation with adverse cardiovascular outcomes. This study aims to investigate the potential predictive value of BAR levels at admission for the development of CIN in patients undergoing coronary angiography (CAG) or percutaneous coronary intervention (PCI). METHODS: Retrospective data were collected from patients who were admitted and underwent CAG or PCI between January 2018 and December 2022 at the Cardiac Medical Center of Union Hospital of Fujian Medical University, and the patients were divided into CIN and non-CIN groups. The BAR was computed by dividing the BUN count by the ALB count. Using multiple variable logistic regression, risk variables associated with the development of CIN were found. RESULTS: A total of 156 patients developed CIN (7.78%). The development of CIN was predicted by a BAR ratio > 4.340 with a sensitivity of 84.0% and a specificity of 70.2%, according to receiver operating characteristic (ROC) analysis. BAR, female gender, diuretic use, and statin medication use were found to be independent predictors of CIN using multifactorial analysis. CONCLUSIONS: When patients are receiving CAG/PCI, BAR is a simple-to-use marker that can be used independently to predict the presence of CIN.