Low serum albumin: A neglected predictor in patients with cardiovascular disease

The correlation between protein energy wasting and the incidence of main adverse cardiovascular events in adult maintenance hemodialysis patients: a single-center retrospective cohort study

BACKGROUND

Protein energy wasting (PEW) is prevalent in adult maintenance hemodialysis (MHD) patients. Concurrently, cardiovascular diseases (CVD) remain a leading cause of mortality in MHD patients. However, the relationship between PEW and CVD in MHD patients remains unclear.

METHODS

We conducted a retrospective cohort study at Shanghai East Hospital. According to the inclusion and exclusion criteria, a total of 210 adult MHD patients were finally enrolled. Patients were categorized into two groups based on PEW diagnostic criteria, including 122 patients (58.1%) with PEW and 88 patients (41.9%) without PEW. We further analyzed the incidence of major adverse cardiovascular events (MACE) and all-cause mortality in one year, along with their risk factors.

RESULTS

MACE incidence was significantly higher in the PEW group compared with the non-PEW group (p = 0.015). Multivariate Cox regression showed PEW, CVD, high N-terminal pro-B-type natriuretic peptide (NT-proBNP) and low Kt/V urea were the risk factors of MACE. Age ≥ 65 years and high NT-proBNP were the risk factors of all-cause death. Among patients aged ≥ 65 years, PEW was associated with a higher risk of all-cause death (p = 0.043). Total cholesterol < 3.4 mmol/L, albumin < 38 g/L and prealbumin < 280 mg/L were the thresholds for MACE incidence in MHD patients with PEW.

CONCLUSION

Adult MHD patients with PEW had an increased risk of MACE and all-cause mortality. Strategies aimed at optimizing total cholesterol, albumin, and prealbumin levels may improve cardiovascular outcomes in adult MHD patients with PEW.

Transport and action of sesame protein-derived ACE inhibitory peptides ITAPHW and IRPNGL

Vascular endothelial dysfunction is an important pathogenic factor in hypertension, in which angiotensin-converting enzyme (ACE) plays an important role. Peptides that bind to ACE may attenuate vascular endothelial dysfunction by altering the structure of ACE. This study demonstrated that ITAPHW and IRPNGL were resistant to simulated gastrointestinal fluid and were transported across the Caco-2 monolayer via the intercellular space, with ITAPHW showing a high apparent permeability coefficient of (1.44 ± 0.01) × 10-5 cm/s. Subsequently, multispectral analysis and molecular dynamic simulation revealed the stability, conformation changes, and potential binding sites of ITAPHW- and IRPNGL-ACE complex. Furthermore, ITAPHW and IRPNGL alleviated endothelial dysfunction in the angiotensin I-induced human umbilical vein endothelial cells (HUVECs) by reducing ACE activity and the concentrations of angiotensin II and endothelin-1 (ET-1), while promoting the level of nitric oxide (NO), endothelial nitric oxide synthase (eNOS), cyclic guanosine 3', 5'-monophosphate (cGMP), and ACE2.

Liver biomarkers as predictors of prognosis in heart failure with preserved ejection fraction: a systematic review and meta-analysis

BACKGROUND

Heart failure with preserved ejection fraction (HFpEF) accounts for 50% of heart failure cases, with increasing prevalence due to aging and risk factors such as hypertension and obesity. Liver dysfunction is common in HFpEF and may impact prognosis. This systematic review and meta-analysis aimed to evaluate the prognostic value of liver function markers (albumin, bilirubin, AST, ALT, ALP) in HFpEF patients.

METHODS

A systematic search of PubMed, Embase, Web of Science, and Scopus was conducted for studies assessing the association of liver markers with adverse outcomes in HFpEF. The primary outcome was a composite of heart failure-related hospitalization or death. Hazard ratios (HR) were pooled using a random-effects model, and heterogeneity was assessed using the I² statistic.

RESULTS

Twenty studies involving 30,623 patients were included. Serum albumin, the main marker of our study, was significantly associated with a reduced risk of adverse outcomes in a meta-analysis of 16 studies (HR 0.71, 95% CI: 0.61-0.83; I² = 87%). After excluding outliers, heterogeneity decreased (I² = 23%), and the association remained significant (HR 0.75, 95% CI: 0.69-0.82). Although no significant associations were found for AST, ALT, ALP, or bilirubin with adverse outcomes, the limited number of studies for these markers may have contributed to the lack of statistical significance.

CONCLUSION

Higher serum albumin levels predict better outcomes in HFpEF, while other liver function markers showed limited prognostic utility. Serum albumin may serve as a valuable marker for risk stratification in HFpEF.

Factors Associated With Sacubitril/Valsartan Continuation and the Methods of Combining Heart Failure Medications in Patients With Heart Failure

BACKGROUND

Sacubitril/valsartan (SV) is recommended for patients with heart failure (HF). In addition, a combination of 4 HF medications, including SV, is recommended in patients with HF with reduced ejection fraction (HFrEF). However, evidence on the characteristics of patients who could continue SV and its initiation methods is limited.

OBJECTIVE

To investigate the factors associated with SV continuation and methods of combining HF medications.

METHODS

This retrospective cohort study included HF patients who initiated with SV at our institution. The endpoint was SV continuation for 6 months after its initiation. Multivariate analysis was used to extract factors associated with SV continuation. The relationship between the methods of combining HF medications (renin-angiotensin system inhibitors, beta-blockers, mineralocorticoid receptor antagonists, or sodium-glucose cotransporter 2 inhibitors), including the number of HF medications, their combination patterns, and the timing of their initiation, and SV continuation was examined in patients with HFrEF.

RESULTS

Of 186 eligible patients, 68.8% had HFrEF, and 79.0% continued SV for 6 months. Significant factors associated with SV continuation were albumin ≥ 3.5 g/dL (odds ratio, 4.81; 95% confidence interval, 2.19-10.59), body mass index (BMI) ≥ 18.5 kg/m2 (4.17; 1.10-15.85), and systolic blood pressure (SBP) ≥ 110 mmHg (2.66; 1.12-6.28). In patients with HFrEF, the proportion of HF medications not initiated simultaneously with SV was significantly higher in the continuation group than in the discontinuation group (67.3% vs 33.3%, P = 0.002). The number of HF medications and their combination patterns were not significantly associated with SV continuation.

CONCLUSION AND RELEVANCE

Albumin, BMI, and SBP are useful indicators for selecting patients who are likely to continue SV. In addition, initiating only SV without simultaneously initiating other HF medications in patients with HFrEF may lead to SV continuation.

Long-term prognostic value of CRP-albumin-lymphocyte index in elderly patients with heart failure with preserved ejection fraction

BACKGROUND

Heart failure with preserved ejection fraction (HFpEF) is a complex and heterogeneous clinical condition characterized by the interplay of malnutrition and immune inflammation, especially in elderly patients. The CRP-Albumin-Lymphocyte (CALLY) index, a novel composite indicator reflecting immune inflammation and nutritional status, has not yet been validated as a prognostic tool in elderly patients with HFpEF.

METHODS

This retrospective study included 320 elderly patients hospitalized at the Air Force Medical Center from October 2016 to April 2019 due to HFpEF. Patients were stratified into the all-cause mortality and the survival groups according to follow-up outcomes. Kaplan-Meier analysis and Cox regression were performed to identify risk factors associated with poor prognosis. Additionally, we constructed and evaluated a nomogram based on the CALLY index to predict survival rates.

RESULTS

During the follow-up period, 137 cases (42.81 %) of patients experienced all-cause mortality. Kaplan-Meier survival curves and Cox regression analysis revealed that a lower CALLY index (HR 0.811, 95 % CI 0.714-0.921, P = 0.001) was independently associated with adverse prognosis in elderly patients with HFpEF. The nomogram incorporating the CALLY index exhibited robust predictive performance for predicting 1-year, 3-year, and 5-year survival outcomes.

CONCLUSION

Our findings demonstrate that the CALLY index is an independent predictor of long-term mortality in elderly patients with HFpEF. The developed nomogram incorporating the CALLY index could effectively predict survival probabilities.

A novel indicator of all-cause mortality in acute coronary syndrome: the CALLY index

AIMS

This study aimed to identify the prognostic significance of the C-reactive protein-albumin-lymphocyte (CALLY) index for predicting all-cause mortality in acute coronary syndrome (ACS) patients who have undergone primary percutaneous coronary intervention (pPCI) for revascularization.

MATERIALS AND METHODS

505 patients who presented with ACS and underwent pPCI were retrospectively included in this single center study. CALLY index and other five prognostic scores were calculated. The median follow-up was 40 months. All-cause mortality was defined as the primary endpoint.

RESULTS

The median age of the patients was 59 years, 23.4% were female. The CALLY index was categorized into low (<0.7) and high (≥0.7). Age (p = 0.038), concomitant atrial fibrillation (p = 0.023), previous CABG (p = 0.001), ACE-I/ARB/ARNI use (p = 0.015), diuretic use (p = 0.021), and a low-CALLY index (p < 0.001) were identified as independent predictors of all-cause mortality in multivariate cox regression analysis. When compared to other prognostic scores according to AUC in ROC analysis, the CALLY index demonstrated the best ability to predict all-cause mortality. Additionally, patients with a high-CALLY index exhibited significantly better survival outcomes compared to those with a low-CALLY index (log-rank:p < 0.001).

CONCLUSIONS

CALLY index can be utilized as a novel prognostic score for predicting all-cause mortality in ACS patients who have undergone pPCI.

Predictive value of uric acid to albumin ratio for carotid atherosclerosis in type 2 diabetes mellitus: A retrospective study

BACKGROUND

This study aims to evaluate the correlation between the uric acid (UA) to albumin (ALB) ratio (UAR) and carotid atherosclerosis (CAS) in patients with type 2 diabetes mellitus (T2DM), as well as to assess the predictive value of UAR for CAS.

METHODS

A cross-sectional, single-center study was conducted, retrospectively analyzing hematological parameters from 259 T2DM patients with CAS (T2DM-CAS) and 131 T2DM patients without CAS (T2DM-WCAS). Carotid intima-media thickness (IMT) and carotid plaques (CAP) were measured using Doppler ultrasound.

RESULTS

The UAR level in the T2DM-CAS group was significantly higher than that in the T2DM-WCAS group (P <  0.001). Multivariate logistic regression analysis revealed that UAR is an independent risk factor for T2DM-CAS (P <  0.001). The area under the ROC curve (AUC) for UAR in predicting T2DM-CAS was 0.712, with a Youden index of 0.278.

CONCLUSION

High levels of UAR are closely associated with the occurrence of T2DM-CAS and may serve as a useful biomarker for predicting T2DM-CAS.

Associations of Naples prognostic score with stroke in adults and all cause mortality among stroke patients

This study seeks to assess the associations of Naples Prognostic Score with stroke in adults and all cause mortality among stroke patients. We analyzed data from 44,601 participants in the 2005-2018 National Health and Nutrition Examination Survey (NHANES). The Naples Prognostic Score (NPS) was derived from total cholesterol, serum albumin, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR). Participants were classified into three groups based on their NPS. Stroke incidence was determined through self-reported questionnaires, and mortality data were diligently tracked using the National Death Index. We investigated the relationship between NPS and stroke prevalence using multiple logistic regression analysis. To explore the association between NPS and all cause mortality in stroke survivors, we applied Kaplan-Meier survival analysis and Cox proportional hazards models. Furthermore, we conducted a detailed subgroup analysis to assess interaction effects on all cause mortality risk within this population. The median age of the participants was 50.00 years [interquartile range: 35.00-64.00], with males comprising 49.36% of the study. The overall stroke prevalence was 3.93%. Participants were categorized into three groups based on their NPS: 6,328 (18.1%) in Group 0 (NPS 0), 24,015 (68.8%) in Group 1 (NPS 1 or 2), and 4,580 (13.1%) in Group 2 (NPS 3 or 4). After adjusting for covariates, individuals in Group 2 exhibited a significantly higher stroke prevalence compared to Group 0, with an odds ratio (OR) of 1.82 [95% confidence interval: 1.48-2.23]. Among the 1372 patients with a history of stroke, with a median follow-up duration of 5.94 years, we utilized Cox proportional hazards models to assess the relationship between NPS and all cause mortality risk. The analysis revealed that, after adjusting for covariates, stroke patients in Group 2 faced a significantly elevated risk of all cause mortality (hazard ratio [HR] = 2.21 [95% confidence interval: 1.44-3.11]) compared to those in Group 0. Subsequent subgroup analyses to explore interaction effects on all cause mortality risk among stroke patients shown no significant interactions (p for interaction > 0.05). This study indicate a positive correlation between NPS and the risk of stroke in adults, as well as all cause mortality in stroke patients.

Plant-based diets and all-cause and cause-specific mortality among patients with cardiovascular disease: a population-based cohort study

The role of plant-based diets in preventing premature death among patients with cardiovascular disease (CVD) has remained unknown. We aim to explore the association of plant-based dietary patterns with all-cause and cause-specific mortality among patients with CVD. A total of 10 824 participants with CVD at the baseline were followed up in the UK Biobank. We constructed three types of plant-based diet indexes [an overall plant-based diet index (PDI), a healthful PDI (hPDI), and an unhealthful PDI (uPDI)] by assigning different weights to various food groups from web-based 24 h dietary recall questionnaires. The national death registry documented the primary causes of death. The Cox proportional hazards regression models were utilized to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. Over a median of 9.5 years follow-up, 1273 death cases were ascertained. After multivariable adjustment, PDI had an inverse correlation with all-cause mortality [HRT3 vs. T1: 0.81 (0.70-0.94), Ptrend = 0.005] and marginal inverse association with CVD mortality [HRT3 vs. T1: 0.78 (0.61-0.99), Ptrend = 0.038], while uPDI displayed a positive correlation with all-cause mortality [HRT3 vs. T1: 1.33 (1.16-1.53), Ptrend < 0.001], CVD, and cancer mortality. Additionally, in mediation analyses, serum concentration of C-reactive protein (CRP) accounted for 6.2%, 4.0%, and 5.1% of the relationship between uPDI and all-cause, CVD, and cancer mortality, respectively. No significant associations were detected between hPDI and mortality. Our findings support dietary guidelines that recommend limiting the consumption of unhealthy plant-based foods.

Predictive model development combining CT-FFR and SYNTAX score for major adverse cardiovascular events in complex coronary artery disease

Patients with complex coronary artery disease (CAD) often have poor clinical outcomes. This study aimed to develop a predictive model for assessing the 1-year risk of major adverse cardiovascular events (MACE) in patients with stable complex CAD, using retrospective data collected from January 2020 to September 2023 at Guangzhou Red Cross Hospital. The goal was to enable early risk stratification and intervention to improve clinical outcomes. A total of 369 patients were included and randomly divided into a training set (70%) for model development and a validation set (30%) for performance evaluation. Predictive factors were selected using least absolute shrinkage and selection operator (LASSO) regression, followed by logistic regression to construct the model and create a nomogram. Seven independent predictors were identified: functional SYNTAX score (OR 1.257, 95% CI 1.159-1.375), low-density lipoprotein cholesterol (LDL-C, OR 1.487, 95% CI 1.147-1.963, /1mmol/L), left ventricular ejection fraction (LVEF, OR 0.934, 95% CI 0.882-0.985, /1%), albumin (OR 0.889, 95% CI 0.809-0.974, /1g/L), pulse pressure ≥ 72 mmHg (OR 3.358, 95% CI 1.621-7.118), angiotensin-converting enzyme 2 (ACE2) ≥ 27.5 U/L (OR 2.503, 95% CI 1.290-5.014), and diabetes (OR 2.261, 95% CI 1.186-4.397). Among these, the functional SYNTAX score was the strongest predictor. The area under the receiver operating characteristic curve (AUC) was 0.843 for the training set and 0.844 for the validation set, with Youden indices of 0.561 and 0.601, respectively. Calibration curves and decision curve analysis demonstrated good predictive accuracy and clinical utility of the model. These findings suggest that the developed model has strong predictive performance for 1-year MACE risk in patients with complex CAD, and early risk stratification and intervention based on this model may improve clinical outcomes.

Construction of a prediction model for coronary heart disease in type 2 diabetes mellitus: a cross-sectional study

Type 2 diabetes mellitus (T2DM), as a globally prevalent metabolic disorder, is continuously rising in prevalence and significantly increases the risk of developing coronary heart disease (CHD). Studies have shown that the risk of CHD is higher in T2DM patients compared to those without diabetes, making early identification and prevention essential. Therefore, establishing an effective prediction model to identify high-risk individuals for CHD among T2DM patients is crucial. This study aims to develop and validate a prediction model for coronary heart disease in patients with type 2 diabetes mellitus, accurately identifying high-risk individuals to support early intervention and personalized treatment. The study included 423 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in the endocrinology department of a tertiary hospital in Anhui Province between February 1, 2023, and February 1, 2024. Based on the presence of hypertension, patients were divided into a T2DM with coronary heart disease (CHD) group (193 patients) and a T2DM group (230 patients). Data were collected through questionnaires and clinical indicators. Univariate and multivariate logistic regression analyses were used to identify significant predictors, and the model was validated. Model performance was evaluated using the ROC curve and AUC value. Hypertension, smoking, neuropathy, vascular complications, cerebral infarction, bilateral lower extremity arteriosclerosis, microalbuminuria, and elevated uric acid levels. were identified as significant predictors for T2DM with hypertension. The AUC of the prediction model was 0.83, indicating good predictive performance. The prediction model developed in this study effectively identifies high-risk patients with T2DM and CHD, providing a reliable tool for clinical use. This model facilitates early intervention and personalized treatment for hypertension, smoking, neuropathy, vascular complications, cerebral infarction, bilateral lower extremity arteriosclerosis, microalbuminuria, and elevated uric acid levels, improving overall health outcomes for patient.

Hs-CRP/ALB Levels Are Associated With Poor Long-term Prognosis in Patients With STEMI Undergoing Percutaneous Coronary Intervention

Research has explored the relationship between inflammatory biomarkers and cardiovascular diseases, highlighting the potential prognostic significance of the high-sensitivity C-reactive protein (hs-CRP)/albumin (ALB) ratio. However, it remains unclear whether this ratio is associated with adverse prognosis in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI). This retrospective cohort study included 752 STEMI patients undergoing PCI at Tianjin Chest Hospital between January 2017 and December 2018. During a median follow-up of 52 months, 183 cases (24.0%) experienced major adverse cardiovascular events (MACE) events and 75 cases (10.0%) died. Cox regression analysis demonstrated that hs-CRP/ALB was independently associated with MACE as both a continuous (hazard ratio [HR] 1.152, 95% CI 1.097-1.210, P < .001) and categorical variable (HR 1.257, 95% CI 1.084-1.458, P = .027). Similar findings were observed for all-cause mortality (HR 1.119, 95% CI 1.058-1.183, P < .001; HR 2.228, 95% CI 1.009-4.920, P = .032). The receiver operating characteristic (ROC) curve indicated that hs-CRP/ALB levels have predictive capability for overall mortality in patients (the area under the curve [AUC] = 0.68). hs-CRP/ALB levels independently correlate with poor long-term prognosis in STEMI patients with prior PCI.

Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study

Background

Elderly type 2 diabetes mellitus (T2DM) patients complicated with heart failure (HF) exhibit a high rate of 30-day readmission. Predictive models have been suggested as tools for identifying high-risk patients. Thus, we aimed to develop and validate a predictive model using multicenter electronic medical records (EMRs) data to estimate the risk of 30-day readmission in elderly T2DM patients complicated with HF.

Methods

EMRs data of elderly T2DM patients complicated with HF from five tertiary hospitals, spanning 2012 to 2023, were utilized to develop and validate the 30-day readmission model. The model were evaluated using holdout data with the area under the receiver operating characteristic curve (AUROC), calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC).

Results

A total of 1899 patients were included, with 955, 409, and 535 in the derivation, internal validation, and external validation cohorts, respectively. Pulmonary infections (odds ratio [OR]: 3.816, 95% confidence interval [CI]: 2.377-6.128, P < 0.001), anti-hypertensive drug use (OR: 5.536, 95% CI: 1.658-18.486, P = 0.005), and neutrophil percentage-to-albumin ratio (NPAR) (OR: 1.144, 95% CI: 1.093-1.197, P < 0.001) were independent predictors of 30-day readmission risk. AUROC in the derivation, internal validation, and external validation cohorts were 0.782 (95% CI: 0.737-0.826), 0.746 (95% CI: 0.654-0.838), and 0.753 (95% CI: 0.684-0.813), respectively. The calibration curve, DCA results, and CIC results indicated that the model also possessed good predictive power. Additionally, an operation interface on a web page (https://cqykdxtjt.shinyapps.io/readmission/) was created for clinical practitioners to apply.

Conclusion

A 30-day readmission risk prediction model was developed and externally validated. This model facilitates the targeting of interventions for elderly T2DM patients complicated with HF who are at high risk of an early readmission.

Prognostic Nutritional Index as a Predictor of Recurrence in Patients Undergoing Pericardiocentesis: A Retrospective Analysis

Objective: Recurrence of pericardial effusion is possible despite the successful completion of pericardiocentesis and initiation of treatment. Predicting recurrence is important for determining treatment strategies. This study aimed to examine the factors that influence the recurrence of effusion in patients who had undergone pericardiocentesis. Method: A total of 113 patients with the evidence of tamponade or pericardial effusion over 10 mm were included in the study. The mean follow-up period was 49 months. Patients with and without recurrent effusion were divided into two groups. PNI calculation (PNI = 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (mm3) formula was used. Results: Recurrent pericardial effusion was observed in 30 patients during the follow-up period. There was no difference in age, gender, hypertension, LVEF%, hypertension, and appearance of fluid when the two groups were compared. There was a difference in PNI score and presence of malignancy between the two groups (p: 0.031 and 0.042, respectively). Multivariate logistic regression showed that malignancy and PNI score were independent predictors of recurrence in patients undergoing pericardiocentesis (p: 0.015 and p: 0.014, respectively). In the ROC analysis, PNI < 40.75 predicts recurrent pericardial effusion with 75% sensitivity and 58% specificity (AUC: 0.626, 95% CI: 0.509-0.742, and p=0.042). Conclusion: Predictors of recurrence in patients undergoing pericardiocentesis are important for patient follow-up. PNI is a simple and useful score that can be used to predict recurrent pericardial effusion.

The Naples prognostic score as a new predictive index of severe abdominal aortic calcification: a population-based study

Purpose

Abdominal aortic calcification (AAC) is related to inflammation and nutritional status. The Naples prognostic score (NPS) is an innovative biological marker capable of reflecting systemic inflammation and nutritional status. This research seeks to investigate the correlation of NPS with severe abdominal aortic calcification (SAAC).

Methods

The research evaluated data obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2013 and 2014. The variables were filtered utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Weighted logistic regression models were employed to examine the association of NPS with SAAC. The predictive value of NPS for the risk of SAAC was assessed utilizing the receiver operating characteristic (ROC) curve. A subgroup analysis was conducted to assess the strength and reliability of the research findings.

Results

The research encompassed 2,854 participants, among whom 303 (11.87%) exhibited SAAC. The outcomes of multivariate weighted logistic regression revealed that participants with a NPS of 3-4 points was positively correlated with SAAC in comparison to the control group [odds ratio (OR) = 2.07, 95% confidence interval (95%CI): 1.17-3.67]. The area under the curve (AUC) for predicting the risk of SAAC using NPS was 0.635. The subgroup analysis results indicated that there was no significant difference noted in the association of NPS with SAAC across various population subgroups.

Conclusion

A positive association of NPS with SAAC has been observed in this research. This study offers valuable insights into the prevention and diagnosis of SAAC. Future longitudinal studies are warranted to confirm causative relationships and assess the role of NPS in clinical decision-making for SAAC.

Association of body composition with left ventricular remodeling and outcomes in diabetic heart failure with reduced ejection fraction: assessment of sarcopenic obesity using cardiac MRI

BACKGROUND

Obesity is common in the heart failure (HF) population and is regarded as an important risk factor for developing HF. Greater skeletal muscle mass has shown to be the underlying protective factor against cardiac failure. Since diabetic mellitus (DM) can impair muscle protein metabolism, leading to skeletal muscle wasting, accompanied by adipose tissue accumulation, sarcopenic obesity (SO) may be a high-risk phenotype with poor outcomes in this specific population, especially in HF with reduced ejection fraction (HFrEF). Thus, the aim of this study was to clarify the clinical profiles, left ventricular (LV) remodeling, and prognostic implications of SO in patients with HFrEF and DM.

METHODS

A total of 283 patients who underwent cardiac MRI were included. Thoracic skeletal muscle index (SMI) was served as a surrogate of skeletal muscle mass. Patients were stratified according to the median thoracic SMI (42.75 cm2/m2) and body mass index (25 kg/m2). Obesity in conjunction with a SMI lower than the median is referred to as SO. The LV volume and function, as well as the systolic strain, were measured. The clinical characteristics and cardiovascular outcomes (heart failure readmission, cardiovascular mortality and heart transplantation) were recorded.

RESULTS

Patients with SO had a greater level of amino-terminal pro-B-type natriuretic peptide and were more likely than nonsarcopenic patients with obesity to present with hypoproteinemia. Among patients with obesity, those with sarcopenia displayed greater LV expansion and more profound LV dysfunction, together with an increase in LV mass. During a median follow-up duration of 35.1 months, a total of 73 (25.8%) subjects reached the composite endpoint, with a worst outcome in the group of patients with SO (log-rank P = 0.04). Multivariable Cox analysis revealed that patients with SO had an approximately 3-fold greater risk of experiencing adverse outcomes than did those with neither sarcopenia nor obesity (hazard ratio: 3.03, 95% confidence interval: 1.39 to 6.63; P = 0.005).

CONCLUSIONS

SO is a potentially high-risk phenotype with adverse LV remodeling and poor clinical outcomes in diabetic patients with HFrEF that may require more attention.

Associations of prognostic nutritional index with cardiovascular all-cause mortality among CVD patients with diabetes or prediabetes: evidence from the NHANES 2005-2018

Background

Immunonutritional status is linked to the prognosis of cardiovascular disease (CVD) and diabetes, but the relationship between immunonutritional disorders and clinical outcomes in CVD patients with diabetes is unclear. This study aims to investigate the association of the novel immunonutritional indicator of prognostic nutritional index (PNI) with all-cause and CVD mortality in diabetic and prediabetic CVD patients.

Method

This is an open-cohort study involving 1,509 CVD patients with diabetes or prediabetes collected from The National Health and Nutrition Examination Survey (NHANES) and initially interviewed between 2005 and 2018. Subjects were followed up until on December 31, 2019. Mortality outcomes and causes of death were obtained from National Death Index (NDI) records. We used restricted cubic spline (RCS) and maximally selected rank statistics method (MSRSM) to assess the nonlinearity of the PNI-mortality association and determine the optimal PNI cutoff for survival outcomes. Additionally, weighted multivariable Cox regression models, subgroup analyses, and interaction tests were employed to examine the relationship between PNI and all-cause and CVD mortality. The predictive accuracy of PNI for survival outcomes was evaluated using time-dependent receiver operating characteristic curve (ROC) analysis.

Results

During a median follow-up of 61 months (interquartile range, 33-103 months), 507 of the 1509 (33.60%) diabetic or prediabetic CVD patients died. A negative and nonlinear association between PNI and all-cause/CVD mortality was identified by RCS analysis in all patients. In the fully-adjusted Cox regression model, in the entire cohort, higher PNI (≥46.5) was significantly associated with reduced risks for all-cause and CVD mortality. A consistent association between PNI and all-cause/CVD mortality was observed in diabetic CVD patients, but not in prediabetic CVD patients. No significant interaction between PNI and other covariates was observed (all P interaction >0.05). Time-dependent ROC curve revealed that the areas under the curve (AUC) of PNI for 1-, 3-, 5-, and 10-year survival rates were 0.66, 0.66, 0.66, and 0.67 for all-cause mortality, and 0.72, 0.70, 0.72, and 0.69 for CVD mortality, respectively.

Conclusion

Increased PNI is significantly associated with reduced risks for all-cause and CVD mortality in diabetic or prediabetic CVD patients, especially for diabetic CVD patients.

Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP

BACKGROUND

Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older population. The prognosis for older patients who experience AIS subsequent to hip fracture is frequently unfavorable.

METHODS

Patients were categorized into the AIS group and the non-AIS group. A predictive model was developed using six different machine learning algorithms. The SHapley Additive exPlanations (SHAP) method was then utilized to provide both local and global explanations. We performed adjusted mediation analyses. Furthermore, a nomogram was created to present the outcomes obtained from the LASSO regression examination. The main objective was to ascertain influential elements that can predict the occurrence of AIS. To alleviate the influence of confounding variables, propensity score matching was utilized to compare the occurrence of additional complications. Survival was compared by Kaplan-Meier methods.

RESULTS

The AUC of 6 ML models ranged from 0.73 to 0.87. The SVM model exhibited the greatest efficacy in forecasting AIS among older individuals with hip fractures. The leading 6 variables in the support vector machines (SVM) model were identified as systemic inflammatory response index (SIRI), carotid atherosclerosis, prior stroke, C-reactive protein (CRP), fibrinogen (FIB), and hypertension. The leading 2 variables in SHAP were identified as FIB at admission and SIRI index. There wasn't potential mediating effect of admission FIB between the SIRI index and AIS. There were statistically significant differences between the two groups in survival (P=0.003).

CONCLUSIONS

The model displayed good performance for prediction of AIS after hip fracture in patients 65 years and older, which might facilitate to establishment of a better clinical assessment plan.

The relationship between neutrophil percentage-to-albumin ratio and slow and normal coronary flow phenomenon

BACKGROUND

The relationship between several inflammatory biomarkers and slow coronary flow phenomenon(SCFP) has been reported. However, the correlation between neutrophil percentage-to-albumin ratio (NPAR) and SCFP is lacking. In this study, we aimed to assess the relationship between NPAR and SCFP.

METHODS

A total of 228 patients were enrolled in this study according to the diagnostic and exclusion criteria. 76 patients were included in the SCFP group, and 152 age-matched patients were included in the normal coronary flow (NCF) group. The baseline data, laboratory parameters and coronary angiography were recorded and compared.

RESULTS

The values of NPAR were significantly higher in the SCFP group than those in the NCF group (1.78[1.58,1.88] vs. 1.42[1.24,1.66], P < 0.001). NPAR elevated as the number of vessels involved SCFP increased. In the multiple logistic regression tests, NPAR was an independent predictor of SCFP (OR: 1.239, 95%CI: 1.124-1.367, p < 0.001). The receiver operating characteristic curve analysis showed that the cutoff value of NPAR for predicting SCFP was > 1.57 with a 76.3% sensitivity and 67.1% specificity [the area under the curve (AUC) = 0.727, 95%CI: 0.659-0.795, p < 0.001]. NPAR had a better predictive value of SCFP than neutrophil percentage, but not albumin.

CONCLUSION

Elevated NPAR may be an independent and valuable predictor of SCFP.

Assessing the Predictive Impact of Preoperative Lactate Dehydrogenase to Albumin Ratio on Outcomes Following Coronary Artery Bypass Graft Surgery

Background: The lactate dehydrogenase to albumin ratio (LAR) is a novel inflammatory marker and a potential predictor of mortality in various conditions. No research has yet examined LAR's impact on mortality in cardiac surgery patients. This study evaluated LAR's role in predicting mortality and complications in isolated coronary artery bypass grafting (CABG) patients. Methods: A retrospective analysis of 377 CABG patients (93 women, 24.7%; 284 men, 75.3%; mean age 65.9 years) from 2020 to 2024 was conducted. Data included demographics, preoperative characteristics, surgical details, and postoperative outcomes, along with ICU and hospital length of stay (LOS). Results: In-hospital mortality was 6.1% (n = 23). Independent predictors were low preoperative ejection fraction (EF) (OR: 0.96, p = 0.024), baseline LAR (OR: 1.08, p = 0.000), LOS-ICU (OR: 1.1, p = 0.000), postoperative ventricular tachycardia (OR: 37.9, p = 0.006), and acute renal failure (OR: 12.1, p = 0.000). Mortality cases had a higher median LAR than survivors (8.6 vs. 5.2, p = 0.000). Elevated LAR correlated with lower preoperative EF (r = -0.227, p = 0.000), longer LOS-ICU (r = 0.17, p = 0.001), and longer LOS-hospital (r = 0.208, p = 0.000). A LAR cut-off of 7.097 predicted mortality (AUC: 0.823, sensitivity 78.3%, specificity 77.1%). Elevated LAR values were observed in all groups with postoperative complications (p < 0.05), indicating its consistent association with negative outcomes. Conclusions: LAR is a valuable predictor of in-hospital mortality and postoperative complications in CABG patients. Elevated LAR is associated with longer ICU/hospital stays and poorer outcomes. Preoperative LAR assessment can guide risk stratification, forecast mortality, and inform surgical planning and treatment strategies.

Association between preoperative serum albumin levels and length of stay in elderly patients with hip fractures: A nonlinear relationship

Previous studies have provided relatively limited evidence in examining the impact of preoperative serum albumin levels on the length of hospital stay (LOS) in patients with hip fractures. This study aimed to elucidate the association between preoperative serum albumin levels and LOS in elderly patients with hip fractures. This retrospective cohort study included 1444 elderly patients undergoing surgical treatment for hip fractures at the Second People's Hospital of Shenzhen from January 2012 to December 2021. The main exposure variable was serum albumin level, and the outcome variable was LOS. A generalized additive model was used to identify the nonlinear relationship between serum albumin levels and LOS, and saturation effects were calculated using a two-piecewise linear regression model. Subgroup analysis was conducted using stratified logistic regression. The median LOS was 10 (8-15) days among all included patients. After adjusting for potential confounding factors (age, sex, comorbidities, hypertension, coronary heart disease, stroke, diabetes, duration of surgery, surgical method, intraoperative blood loss, red cell distribution width, estimated glomerular filtration rate, blood urea nitrogen, postoperative pneumonia, and transfer to ICU), a nonlinear relationship was found between serum albumin levels and LOS, with a turning point at 3.06. On the left side of the turning point, the effect size was not statistically significant (β = 1.84, 95% CI -1.00 to 4.68, P = .2042), while on the right side of the turning point, for every 1 g/dL increase in albumin, LOS decreased by 1.05 days (β = -1.05, 95% CI -1.90 to -0.20, P = .0162). A nonlinear relationship was observed between preoperative serum albumin levels and LOS in elderly patients with hip fractures. When albumin levels were >3.06 g/dL, they were negatively correlated with LOS. This has important implications for clinicians in the development of nutritional improvement strategies.

Antioxidant Properties of Albumin and Diseases Related to Obstetrics and Gynecology

Albumin, the most abundant protein, contributes significantly to various physiological processes, indicating its multifunctional properties. It has drawn the attention of scientists and physicians because of its primary role in maintaining osmotic pressure and involvement in transporting numerous small molecules, including hormones, fatty acids, and drugs. A growing body of evidence has recently illustrated an additional aspect of albumin's antioxidant properties. Therefore, based on recent research findings, this review article delves into the molecular and biochemical aspects of albumin's antioxidative capabilities. We highlight the multifaceted significance of proteins in oxidative stress and their relation to pathologies in obstetrics and gynecology. In particular, we focused on preeclampsia, in which oxidative stress is closely involved in the pathogenesis, and renal dysfunction leads to increased albumin excretion into the urine, resulting in hypoalbuminemia. In addition, we discussed the role of albumin in preeclampsia pathogenesis, diagnosis, and patient prognosis. Understanding the antioxidant properties of albumin opens new avenues for therapeutic intervention and sheds light on novel strategies for combating preeclampsia associated with oxidative damage. In this study, we employed the PubMed database to search for articles that assessed the antioxidant properties of albumin, with a specific focus on obstetric diseases, particularly preeclampsia. The last update of the search was conducted in November 2024.

Risk factors and characteristics of preoperative heart failure in elderly patients with hip fracture and the influence of anemia on prognosis

BACKGROUND

Patients with preoperative acute heart failure (AHF) after hip fracture in the elderly have a worse prognosis. We aim to investigate the characteristics, risk factors and postoperative complications of elderly patients with hip fracture complicated with preoperative AHF. We also looked at the effect of the severity of anemia at admission on the prognosis of the above people.

METHODS

A retrospective study of hip fracture patients (aged ≥ 65) admitted to the Department of Geriatric Orthopaedics, Third Hospital, Hebei Medical University, was conducted from January 2018 to October 2020. We used univariate and multivariate logistic regression to assess risk factors for preoperative AHF. The Kaplan-Meier survival curve shows the relationship between the severity of anemia on admission and all-cause mortality in elderly hip fracture patients with preoperative AHF.

RESULTS

Out of the 1092 patients, 503 had preoperative AHF and the incidence of it in hip fracture patients was 46.1%. Age, coronary artery disease, chronic atrial fibrillation, Age-Adjusted Charlson Comorbidity Index (ACCI), admission anemia, admission albumin < 40 g/dl, and admission C-reactive protein (CRP) were all significantly different between those with AHF and those without. Multivariate logistic regression analysis revealed that age ≥ 80 years (OR 1.740, 95% CI 1.309-2.313), coronary artery disease (OR 1.417, 95% CI 1.017-1.975), chronic atrial fibrillation (OR 4.010, 95% CI 1.757-9.152), admission anemia (OR 1.433, 95% CI 1.051-1.953) are the independent risk factors for preoperative AHF in elderly patients with hip fracture (p < 0.05). The HF group exhibited a higher incidence of postoperative complications, such as anemia, arrhythmia, NOAF (new-onset atrial fibrillation), AIS (acute ischemic stroke), electrolyte disturbance and hypoproteinemia. The moderate-to-severe anemia group had a higher incidence of postoperative complications, including deep vein thrombosis of the lower limbs, NOAF, and hypoproteinemia, as well as all-cause mortality.

CONCLUSION

Older patients combined with admission anemia, coronary artery disease, chronic atrial fibrillation are more likely to have preoperative AHF after hip fracture. For such patients, early and effective identification and strengthening perioperative management can avoid the occurrence of adverse events. For patients with moderate and severe anemia at admission, timely intervention is recommended to reduce postoperative complications and mortality.

Current Strategies for Atrial Fibrillation Prevention and Management: Taming the Commonest Cardiac Arrhythmia

Atrial fibrillation (AF) is the commonest cardiac arrhythmia, constituting a major cause of morbidity and mortality, with an age-dependent incidence and prevalence ranging from 1-2% in the general population to ~10% in persons aged >60 years. The global prevalence of AF is rapidly increasing, mostly due to the aging population. If not properly and timely managed, this arrhythmia adversely affects left ventricular function, increases the risk of stroke five-fold, impairs quality of life, and shortens longevity. There is a genetic, hence non-modifiable, predisposition to the arrhythmia, while several life-style and cardiometabolic inciting factors, such as hypertension, heart failure, coronary disease, metabolic syndrome, alcohol use, and thyroid disorders, can be addressed, attesting to the importance of a holistic approach to its management. Thromboembolism is a serious consequence of AF, which could lead to a disabling stroke or have a lethal outcome. The risk of a thromboembolic complication can be estimated as based on a scoring system that takes into consideration the patient's age, previous thromboembolic events, and clinical comorbidities. In addition, rapid AF could affect cardiac performance, leading to an elusive type of arrhythmia- induced cardiomyopathy and heart failure with grave consequences if undetected and untreated. Furthermore, AF may cause silent brain infarcts and/or its hemodynamic perturbations can account for a type of dementia that needs to be taken into account, emphasizing the need for AF screening and prevention strategies. All these issues are herein detailed, the causes of the arrhythmia are tabulated, and an algorithm illustrates our current approach to its management.

Clinical features and prognostic factors of cardiorenal anemia syndrome in China: a retrospective single-center study

BACKGROUND

There is little research on cardiorenal anemia syndrome (CRAS) in China. This study was to describe the characteristics of patients with CRAS and to explore risk factors of all-cause death.

METHODS

A total of 81,795 patients were hospitalized from August 2012 to August 2021 in the nephrology department and cardiology department, of which 820 patients with CRAS were recruited into this study. The 820 patients were divided into three groups based on New York Heart Association (NYHA) functional class: a NYHA Class II group (n = 124), a NYHA Class III group (n = 492), and a NYHA Class IV group (n = 204). Demographics and laboratory tests were collected and risk factors of all-cause death were analyzed. The primary endpoint of the study was all-cause death.

RESULTS

820 patients were included, with a median age of 65.00 (51.00-75.00) years and 61.2% were men. The median follow-up was 27.0 (13.0-51.0) months. 416 (50.7%) patients died during follow-up. Age, smoking history, cerebral infarction, NYHA functional class, albumin, serum creatinine (SCr), left ventricular end-diastolic diameter (LVEDD), and left ventricular ejection fraction (LVEF) remained independent predictors of all-cause mortality risk in patients with CRAS (P < 0.05) after adjusting to the potential confounders.

CONCLUSIONS

In patients with CRAS, older age, smoking history, and more advanced systolic heart failure and renal failure correlated with worse clinical outcomes at follow-up.

An inflammatory prognostic scoring system to predict the risk for adults with acute coronary syndrome undergoing percutaneous coronary intervention

BACKGROUND

This study aimed to investigate the value of the inflammatory prognostic score (IPS) system for predicting the risk of all-cause major adverse cardiovascular events (MACEs) and cardiac-related MACEs in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).

METHODS

Overall, 1384 patients with ACS who underwent PCI between January 2016 and December 2018 were consecutively enrolled. Demographic characteristics and related laboratory results for 11 inflammatory markers were collected. Least absolute shrinkage and selection operator (LASSO)-COX regression, Kaplan- Meier, restricted cubic spline (RCS), receiver operator characteristic curve (ROC), time-dependent ROC, and Cox hazard proportional regression were applied to explore the values of individual and IPS parameters.

RESULTS

Based on the LASSO analysis, albumin (ALB) and monocyte-to-lymphocyte ratio (MLR) were included in the construction of the IPS system. A higher IPS was associated with a significantly worse long-term prognosis in the Kaplan-Meier analysis (log-rank p < 0.001). The Cox proportional hazards model demonstrated that the IPS was an independent risk factor for patients with ACS undergoing PCI. In addition, the IPS remained an independent prognosticator compared to the lowest tertiles. The time-dependent ROC showed satisfactory values for the long-term prognosis of different MACEs. Additionally, RCS showed a linear association with IPS, all-cause MACEs, and cardiac-related MACEs.

CONCLUSIONS

A higher IPS level was associated with an increased risk in patients with ACS undergoing PCI, suggesting that the IPS may be a useful method for risk stratification in the assessment of the long-term prognosis of ACS.

Exploring the link between the Naples prognostic score and the cardio-ankle vascular index

Introduction

Background: the Naples Prognostic Score is a novel scoring system designed to provide a comprehensive assessment of patients' inflammation and nutritional status. Aim: our aim was to investigate the correlation between the Naples Prognostic Score and arterial stiffness, a factor known to be linked with heart failure and acute coronary syndrome. Materials and methods: this prospective study included 142 consecutive patients without a history of cardiovascular disease, inflammatory disease, immunological disease, malignancy, or comorbid conditions other than hypertension. Patients were categorized into two groups based on their Naples Prognostic Scores: Group 1 (score of 0-2) and Group 2 (score of 3 or 4). Arterial stiffness was assessed using the Cardio-Ankle Vascular Index (CAVI) measured with the VaSera VS-1000 device. CAVI values were compared between the groups. Results: the mean age of the patients was 54 ± 9 years. Group 1 comprised 114 (80.3 %) patients, while Group 2 comprised 28 (19.7 %) patients. There were no significant differences in demographic data between the groups (p > 0.005). Additionally, there were no statistically significant differences between Group 1 and Group 2 regarding left CAVI (7.92 ± 1.45 vs. 8.72 ± 1.85; p = 0.295), right CAVI (7.89 ± 1.52 vs. 8.67 ± 1.34; p = 0.332), or left or right ankle brachial index (p > 0.005). Conclusions: despite previous studies indicating a significant association between the Naples Prognostic Score and heart failure or acute coronary syndrome, our study did not observe a significant correlation between this score and arterial stiffness assessed by CAVI.

Postprocedural Contrast-Associated Acute Kidney Injury and Prognosis of Patients Undergoing Recanalization of Chronic Total Occlusions

Introduction: Percutaneous coronary intervention (PCI) for chronic total occlusions (CTOs) requires advanced techniques and prolonged procedural efforts, often necessitating high contrast volumes, which may increase the risk of contrast-associated acute kidney injury (CA-AKI). However, evidence suggests that factors beyond contrast exposure contribute to CA-AKI, though data specific to CTO PCI remain limited. Methods: Patients undergoing contemporary CTO PCI at our university-affiliated tertiary care center were enrolled. CA-AKI was defined according to KDIGO criteria, and patients were stratified based on the presence of postprocedural CA-AKI. Baseline and procedural characteristics, including osmotic factors, were compared between the groups. The primary outcome was all-cause mortality at one year, and the secondary outcome was all-cause mortality at three years. Results: A total of 145 patients were enrolled, with a mean age of 67 years, and 75% were male. Baseline creatinine levels, electrolytes, and osmotic factors did not differ significantly between groups. Lesion parameters and J-CTO scores were also comparable. The contrast volume and procedural duration were numerically higher in patients who developed CA-AKI. Patients with CA-AKI received a higher radiation dose (22.1 vs. 13.2 Gy·cm2, p = 0.041). CA-AKI emerged as an independent predictor of all-cause mortality at one year (adjusted HR 5.3, CI [1.52-18.51], p = 0.009) but not at three years. Conclusions: In this retrospective analysis, CA-AKI was an independent predictor of all-cause mortality at one year following CTO PCI but lost predictive value at three years. Baseline renal function and contrast volume alone did not predict CA-AKI. Instead, procedural complexity, reflected by higher radiation exposure, was associated with an elevated risk of CA-AKI.

Prognostic Value of Four Objective Nutritional Indices in Predicting Long-Term Prognosis in Elderly Patients with Atrial Fibrillation: A Retrospective Cohort Study

Background

Several objective and comprehensive nutritional assessment methods have been used for predicting adverse outcomes in elderly patients with various diseases. However, their predictive value for long-term adverse outcomes in elderly patients with atrial fibrillation (AF) is unclear. This study aimed to explore the prognostic significance of the four nutritional indices, namely Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), and High-Sensitivity Modified Glasgow Prognostic Score (HS-mGPS), in evaluating the long-term prognosis in elderly patients with AF.

Methods

This retrospective study was conducted at a single center and included a total of 261 elderly patients with AF from December 2015 to December 2021. Patients were divided into all-cause death and survival groups based on the follow-up results. Kaplan-Meier analysis and COX regression were conducted to explore the relationship between all-cause mortality and nutritional scores. In addition, Receiver Operating Characteristic (ROC) curves were used to compare the predictive value of the four nutritional screening tools for the endpoint event.

Results

During the follow-up period, 119 cases (45.59%) of all-cause mortality were recorded. The cumulative incidence of all-cause death was significantly higher in participants with a lower PNI, lower GNRI, higher CONUT, and higher HS-mGPS levels. And the low PNI (HR 1.325, 95% CI 1.032-2.857, P=0.025) and the high HS-mGPS (HR 2.166, 95% CI 1.281-4.326, P=0.023) groups were independently and significantly associated with increased risk of all-cause death analyzed by multivariate COX regression. Additionally, PNI showed the best area under the curve value (AUC: 0.696, 95% CI 0.632-0.760 P < 0.001) for the prediction of all-cause mortality compared with the other nutritional indices.

Conclusion

Among the four nutritional risk screening tools, PNI might be a simple and useful indicator in predicting the long-term prognosis of elderly patients with AF.

Is the hemoglobin, albumin, lymphocyte, and platelet (HALP) score a novel biomarker for predicting mortality in patients with middle cerebral artery infarctions undergoing mechanical thrombectomy?

BACKGROUND

The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, easily calculated parameter, indicating systemic inflammation and nutritional status INTRODUCTION: In this study, we used the HALP score in patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy (MT) to predict 90-day mortality.

METHOD

122 patients with AIS who underwent either MT or MT and tissue plasminogen activator (tPA) for middle cerebral artery (MCA) M1 occlusion. The HALP score was calculated, demographic data, modified Rankin Scale (mRS) score, and mortality status in retrospectively reviewed. The effectiveness of the HALP score in predicting mortality within 90 days was assessed using the receiver operating characteristic ( ROC) curves. The optimal cutoff value for HALP was 13.10.

RESULTS

A HALP score <13.10 increased the risk of death within 90 days and was associated with a higher incidence of large artery thrombosis. Cardioembolism and hyperlipidemia were more common in patients with high (>13) HALP scores. In addition to the HALP score, the length of hospital stay, 24-h National Institutes of Health Stroke Scale score (NIHSS), number of days of intubation, acute physiologic assessment and chronic health evaluation (APACHE) II score, and symptom-to-groin time were statistically significant risk factors for mortality within 90 days.

DISCUSSION

The HALP score is an easily calculated, inexpensive, and noninvasive parameter that can be used to predict mortality in patients with MCA M1 occlusion undergoing reperfusion therapy. Low HALP scores indicate a poor prognosis. Thus, there is a relationship between the HALP score and survival.

Serum Albumin-to-Creatinine Ratio: A Novel Predictor of Pulmonary Infection in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

AIM

In patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), a low serum albumin-to-creatinine ratio (sACR) is associated with elevated risk of poor short- and long-term outcomes. However, the relationship between sACR and pulmonary infection during hospitalization in patients with STEMI undergoing PCI remains unclear.

METHODS

A total of 4,507 patients with STEMI undergoing PCI were enrolled and divided into three groups according to sACR tertile. The primary outcome was pulmonary infection during hospitalization, and the secondary outcome was in-hospital major adverse cardiovascular events (MACE) including stroke, in-hospital mortality, target vessel revascularization, recurrent myocardial infarction, and all-cause mortality during follow-up.

RESULTS

Overall, 522 (11.6%) patients developed pulmonary infections, and 223 (4.9%) patients developed in-hospital MACE. Cubic spline models indicated a non-linear, L-shaped relationship between sACR and pulmonary infection (P=0.039). Receiver operating characteristic curve analysis indicated that sACR had good predictive value for both pulmonary infection (area under the ROC curve [AUC]=0.73, 95% CI=0.70-0.75, P＜0.001) and in-hospital MACE (AUC=0.72, 95% CI=0.69-0.76, P＜0.001). Kaplan-Meier survival analysis indicated that higher sACR tertiles were associated with a greater cumulative survival rate (P＜0.001). Cox regression analysis identified lower sACR as an independent predictor of long-term all-cause mortality (hazard ratio [HR]=0.96, 95% CI=0.95-0.98, P＜0.001).

CONCLUSIONS

A low sACR was significantly associated with elevated risk of pulmonary infection and MACE during hospitalization, as well as all-cause mortality during follow-up among patients with STEMI undergoing PCI. These findings highlighted sACR as an important prognostic marker in this patient population.

Impact of Baseline Hypoalbuminemia on Long-Term Survival Following Acute Myocardial Infarction According to Body Mass Index

Serum albumin and body mass index (BMI, kg/m2) have been associated with outcomes following acute myocardial infarction (AMI). Aiming to assess whether the mortality risk inflicted by hypoalbuminemia (<3.5 g/dL) in this context is influenced by BMI, we conducted a retrospective analysis of AMI survivors hospitalized during 2004-2017. Stratified by admission-time albumin level and BMI, eligible cases were evaluated for all-cause mortality up to 10 years after discharge. A total of 6283 individuals (74.1% males, mean age 64.1 ± 13.1 years, 44.3% with ST-elevation MI) were included. Of them, 22.7% had hypoalbuminemia and 1.2%, 41.0%, and 28.6% were underweight (BMI < 18.5), overweight (BMI 25-30), and obese (BMI ≥ 30), respectively. Over a median of 7.9 (IQR, 4.8-10.0) years of follow-up, 42.5% of patients died. Hypoalbuminemia was independently associated with a heightened mortality risk overall (AdjHR = 1.54, 95%CI 1.42-1.67, p < 0.001), accounted for by the normal weight (AdjHR = 1.73, 95%CI 1.50-1.99, p < 0.001), overweight (AdjHR = 1.55, 95%CI 1.35-1.79, p < 0.001), and class 1 obesity (BMI 30-35) (AdjHR = 1.37, 95%CI 1.12-1.68, p = 0.002) subgroups. Upon interaction analysis, the mortality risk imposed by hypoalbuminemia was most pronounced among individuals with normal BMI. In conclusion, hypoalbuminemia constituted a negative prognostic marker for long-term survival in AMI patients with normal or mildly elevated but not reduced or severely increased BMI. Pending further research, addressing hypoalbuminemia based on BMI range may prove beneficial.

Association of RDW-Albumin Ratio, TG-Glucose Index, and PIV with Coronary Artery Disease

Objectives: This study aimed to investigate the impact of the RDW-albumin ratio (RAR), Triglyceride-glucose index (TGI), and pan-immune-inflammation value (PIV) on predicting prognosis in patients with coronary artery disease (CAD) and to assess the potential use of these biomarkers in clinical decision-making. Materials and Methods: This retrospective study involved patients diagnosed and treated from 2020 to 2024. The study population included individuals diagnosed with CAD (n = 450) as well as a control group without CAD (n = 150). Results: The RAR, TGI, and PIV were significantly higher in the CAD group (p < 0.01 for all). Furthermore, a high RAR was found to be a risk factor for CAD (OR = 1.4, 95% CI: 1.2-1.7, p < 0.01), while elevated TGI was also linked to an increased risk of CAD (OR = 1.5, 95% CI: 1.3-1.8, p < 0.01). Similarly, a high PIV was strongly associated with CAD risk (OR = 2.0, 95% CI: 1.7-2.4, p < 0.01). The combined analysis of RAR, TGI, and PIV yielded an AUC value of 0.78 (0.75-0.81), indicating that these biomarkers collectively provide high diagnostic accuracy for CAD, with a sensitivity of 74% and specificity of 77% (p < 0.01). Conclusions: In conclusion, our study not only emphasizes the significance of traditional risk factors in CAD, but also highlights new biomarkers that could improve predictive accuracy. The combined use of biomarkers such as the RAR, TGI, and PIV offers greater accuracy in diagnosing CAD. Thus, our research presents an innovative approach with the potential to enhance the prediction and management of CAD risk.

Association between Serum Albumin-to-Creatinine Ratio and Readmission in Elderly Heart Failure Patients: A Retrospective Cohort Study

INTRODUCTION

This study aimed to investigate the relationship between the serum albumin-to-serum creatinine ratio (sACR) and readmission in elderly heart failure patients.

METHODS

We conducted a retrospective cohort study using data from the PhysioNet Restricted Health Data database. The exposure variable was sACR and the outcome variable readmission. Multivariate logistic regression and subgroup analyses were performed to assess the independent association between sACR and readmission. Smooth curve fits were applied to examine the nonlinear relationship. We employed multiple imputation and E-value sensitivity analyses to assess the robustness of our results.

RESULTS

Our study included 1,725 participants, of whom 40.6% were male, 59.2% were aged 60-79 years, and 40.8% were aged 80 years and older. After adjusting for potential confounders, we found that for each unit increase in sACR, the 28-day readmission rate decreased by 48% (odds ratio [OR] = 0.52, 95% CI: 0.29-0.95, p = 0.003). The 28-day readmission rate was significantly higher in the low sACR group (sACR <0.32) than in the high sACR group (sACR >0.51) (OR = 0.47, 95% CI: 0.3-0.76, p = 0.002). Similar results were observed for 3-month and 9-month readmission. Subgroup analysis showed no significant interactions. A nonlinear relationship was observed between the sACR and readmission. Sensitivity analyses have confirmed the robustness of our results.

CONCLUSION

There is a negative association between sACR and readmission in Chinese heart failure patients. Our study may offer novel insights into the management of heart failure readmissions.

Relationship Between Swallowing Function and Low Serum Albumin Levels in Older Japanese People Aged ≥ 75 Years

BACKGROUND/OBJECTIVES

This cross-sectional study aimed to investigate the relationship between swallowing function and low serum albumin levels in older Japanese people (aged ≥ 75 years).

METHODS

A total of 3258 participants (1325 males, 1933 females; mean age, 80.8 years) who had a dental checkup in Gifu City, Japan, between April 2020 and March 2021 were recruited. Swallowing function was assessed using the repetitive saliva swallow test, with poor swallowing function defined as swallowing fewer than three times in 30 s. A serum albumin level < 3.6 G/dL was considered low.

RESULTS

In total, 78 participants (2%) had a low serum albumin level. Furthermore, after adjusting for age, gender, circulatory disease, support/care-need certification, number of present teeth, and tongue and lip function, a low serum albumin level was positively associated with older (odds ratio [OR]: 1.115; 95% confidence interval [CI]: 1.064-1.169), male (OR: 2.208; 95% CI: 1.360-3.584), circulatory disease (OR: 1.829; 95% CI: 1.079-3.099), support/care-need certification (OR: 2.087; 95% CI: 1.208-3.606), and poor swallowing function (OR: 2.379; CI: 1.377-4.112).

CONCLUSIONS

These results indicate that poor swallowing function was associated with a low serum albumin level in older Japanese people aged ≥ 75 years.

Relationship between HALP and PNI score with 1-month mortality after CABG

Background

Coronary heart disease (CHD) is the most common cause of cardiovascular disease (CVD). CHD is among the most common causes of mortality and morbidity world wide. In addition, CHD is one of the most important causes of health expenditures world wide. Today, coronary artery bypass grafting (CABG) operations are a widely used surgical procedure and have an important place in the treatment of CHD. Many scoring systems have been evaluated to estimate the risk of mortality and morbidity. 30-day mortality rates after CABG have been reported as 1-4% in large-scale studies.

Objectives

The aim of our study was to evaluate the relationship between 1-month mortality in patients undergoing CABG and the Hemoglobin, albumin, lymphocyte, platelet index (HALP score) and Prognostic nutritional index (PNI) calculated using laboratory data in the preoperative period.

Methods and design

A total of 239 patients who underwent CABG were evaluated retrospectively. Preoperative biochemical and hemogram values, demographic characteristics, comorbidities, HALP score and PNI values of the patients were recorded. The patients were divided into two groups: Exitus group (n = 51) and survival group (n = 188). The data of the two groups were compared, mainly HALP score and PNI.

Results

It was observed that 51 of 239 patients (21.3%) developed exitus during the 30-day follow-up after CABG. When demographic data are compared; advanced age, female gender, history of DM (Diabetes Mellitus), history of HL (hyperlipidemia) and smoking were found to be associated with mortality. When laboratory data are compared; high troponin levels, low hemoglobin, low lymphocyte and low albumin levels were found to be associated with mortality. Low HALP score (p < 0.001) and low PNI (p < 0.001) were also found to be associated with mortality. In univariate and multivariate regression analysis; advanced age, history of DM, HALP score and PNI were found to be independent predictors of 30-day mortality after CABG. It was determined that a cut-off value of 0.29 for the HALP score and 39.1 for PNI had found, respectively, 81 and 79% sensitivity and 82 and 80% specificity.

Conclusion

Preoperatively measured HALP score and PNI can be used to predict 1-month mortality after CABG.

The Association Between the Fibrinogen-to-Albumin Ratio and Intracranial Arterial Stenosis in Patients With Acute Ischemic Stroke

The association between the fibrinogen-to-albumin ratio (FAR) and intracranial arterial stenosis (ICAS) in patients with acute ischemic stroke (AIS) has not yet been reported. In this large-scale investigation, 7894 AIS patients with ICAS-evaluation imaging data from the Third China National Stroke Registry were included. ICAS was defined as >50% stenosis of the intracranial arteries. We dichotomized the degree of ICAS into stenosis and occlusion. The number of ICAS lesions was the total number of intracranial stenotic arteries. Fibrinogen and albumin levels were assessed in the central laboratory of Beijing Tiantan Hospital. Univariate and multivariate analyses with logistic regression were used to determine the association between the FAR quartiles and ICAS. A total of 3900 (49.66%) patients had ICAS. Compared with those of the lowest FAR quartile, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of the highest FAR quartile were 1.26 (1.10-1.44), 1.15 (.99-1.33), and 1.19 (1.01-1.39) for ICAS, symptomatic ICAS, and asymptomatic ICAS, respectively. An elevated FAR was also associated with occlusion (adjusted OR: 1.28, 95% CI: 1.10-1.49) and lesion number ≥2 (adjusted OR: 1.25, 95% CI: 1.07-1.45).

Association between controlling nutritional status score and diabetic retinopathy: Data from National Health and Nutrition Examination Survey

ObjectiveThis study aimed to examine the association between controlling nutritional status (CONUT) score and diabetic retinopathy (DR) risk, as well as investigate the impact of CONUT score on mortality risk among DR patients.MethodsThis retrospective study included 5,256 patients with diabetes from National Health and Nutrition Examination Surveys. These participants were classified into two groups: the DR group (n = 641) and the non-DR group (n = 4,615). We used weighted univariate and multivariate logistic regression models to assess the correlation of CONUT score and DR risk. Weighted univariate and multivariate Cox models were adopted to explore the association of CONUT score with all-cause mortality and cardiovascular disease (CVD)-related mortality in patients with DR.Results305 patients diagnosed with DR had died by the end of the follow-up period, among whom 111 individuals died due to CVD. After adjusting all potential confounding factors, there was an association between CONUT score and DR development in patients with diabetes [odd ratio (OR) = 1.18, 95% confidence interval (CI): 1.05-1.33]. Additionally, CONUT score was found to be associated with all-cause mortality of patients with DR [hazard ratio (HR) = 1.11, 95%CI: 1.01-1.22, P= 0.041]. However, there was no significant difference in the CONUT score and CVD-related mortality of patients with DR.ConclusionsCONUT score may be a valuable tool for assessing the risk of developing DR, and predicting prognosis in patients with DR. However, as this was a cross-sectional study, we cannot infer the causality of CONUT score and DR risk.

Investigating nonlinear associations between neutrophil percentage to albumin ratio and cardiovascular disease: a nationally representative cross-sectional study

While the negative consequences of particular illnesses have been associated with the neutrophil percentage to albumin ratio (NPAR), its association with cardiovascular disease (CVD) is still lacking in the broader public. This study examines the relationship between NPAR and CVD prevalence using information from the National Health and Nutrition Examination Survey (NHANES), with particular attention to potential nonlinear associations. This analysis included 26,225 adults from NHANES 2011-2020. We investigated the association between NPAR levels and CVD using weighted generalized linear models, subgroup analysis, threshold effects, receiver operating characteristic (ROC) curves, and sensitivity analysis. Restricted cubic splines were used to assess potential nonlinearity in the NPAR-CVD association. Elevated NPAR levels were significantly associated with increased CVD prevalence (P < 0.001). In model 3, individuals in the highest NPAR quartile had a 46% greater CVD prevalence compared to those in the lowest quartile [OR: 1.46 (1.16, 1.83), P = 0.002], a finding consistent across unweighted logistic regression models. This association remained unchanged by various factors (P > 0.05). While restricted cubic spline analysis indicated potential nonlinearity, it did not significantly improve model fit over the linear model (P > 0.05). This study identifies a significant association between NPAR and CVD prevalence among the broader populace, suggesting the potential influence of inflammation on cardiovascular disease.

Clinical features and in-hospital mortality predictors of concurrent cardio-cerebral infarction: insights from a dual-center retrospective study

OBJECTIVE

This study aimed to enhance the understanding of cardio-cerebral infarction (CCI) clinical features and identify key prognostic factors, thereby providing an empirical foundation for advancing prevention and treatment strategies and ultimately improving clinical outcomes for CCI patients.

METHODS

We retrospectively analyzed 17,645 AIS and 7,584 AMI patients admitted to two hospitals from 2014 to 2023. Univariate analysis, Spearman correlation, and multivariate logistic regression were performed to identify independent risk factors. Receiver operating characteristic (ROC) curves were used to determine optimal cutoff values.

RESULTS

This study enrolled 85 patients with CCI, representing an overall CCI incidence of approximately 0.34%. Males comprised 64.71% of the cohort. ST-segment elevation myocardial infarction and cardiogenic cerebral infarction were the most predominant subtypes. The in-hospital mortality rate was 30.59%, with 65.38% of deaths attributed to cardiac causes. Multivariate logistic regression analysis identified three independent risk factors for in-hospital mortality: elevated neutrophil-to-lymphocyte ratio (NLR), decreased serum albumin, and increased peak N-terminal pro-B-type natriuretic peptide levels (NT-proBNP). ROC curve analysis demonstrated that the area under the curve (AUC) for the NLR, albumin concentration and peak NT-proBNP concentration were 0.863, 0.723, and 0.824, respectively. The optimal cutoff values were 6.914 for NLR, 33.80 g/L for albumin, and 9474.50 pg/mL for peak NT-proBNP. The AUC of the combined diagnostic model reached 0.959, significantly outperforming the individual indicators.

CONCLUSION

Elevated NLR, decreased serum albumin, and increased peak NT-proBNP levels independently predict in-hospital mortality in CCI patients. Combining these biomarkers enhances predictive capability for adverse outcomes.

Serum Free Fatty Acid Concentration Predicts ARDS after Off-Pump CABG: A Prospective Observational Study

BACKGROUND

Free fatty acids (FFAs) are established risk factors for various cardiovascular and metabolic disorders. Elevated FFAs can trigger inflammatory response, which may be associated with the occurrence of acute respiratory distress syndrome (ARDS) in cardiac surgery. In this prospective study, we aimed to investigate the association between circulating FFA and the incidence of ARDS, as well as the length of ICU stay, in patients undergoing off-pump coronary artery bypass grafting (CABG).

METHODS

We conducted a single-center, prospective, observational study among patients undergoing off-pump CABG. The primary endpoint was the occurrence of ARDS within 6 days after off-pump CABG. Serum FFA were measured at baseline and 24 h post-procedure, and the difference (Δ-FFA) was calculated.

RESULTS

A total of 180 patients were included in the primary analysis. The median FFA was 2.3 mmol/L (quartile 1 [Q1]-Q3, 1.4-3.2) at baseline and 1.5 mmol/L (Q1-Q3, 0.9-2.3) 24 h after CABG, with a Δ-FFA of 0.6 mmol/L (Q1-Q3, -0.1 to 1.6). Patients with elevated Δ-FFA levels had a significantly higher ARDS occurrence (55.6% vs. 22.2%; P < 0.001). Elevated Δ-FFA after off-pump CABG correlated with a significantly lower PaO2/FiO2 ratio, prolonged mechanical ventilation, and extended length of ICU stay. The area under the curve (AUC) of Δ-FFA for predicting ARDS (AUC, 0.758; 95% confidence interval, 0.686-0.831) significantly exceeded the AUC of postoperative FFA (AUC, 0.708; 95% CI 0.628-0.788; P < 0.001).

CONCLUSIONS

Elevated Δ-FFA levels correlated with ARDS following off-pump CABG. Monitoring FFA may assist in identifying high-risk patients for ARDS, facilitating timely interventions to improve clinical outcomes.

Associations between neutrophil-percentage-to-albumin ratio level and all-cause mortality and cardiovascular disease-cause mortality in general population: evidence from NHANES 1999-2010

Introduction

Chronic inflammation is a recognized independent risk factor for cardiovascular disease (CVD), highlighting the need for reliable inflammatory indicator to predict CVDs. As an inflammatory indicator which has been proved to have predictive value for prognosis of CVDs, neutrophil percentage-to-albumin ratio (NPAR) has obtained increasing attention, but further research is needed to confirm the relationship with mortality in the general population.

Method

This prospective cohort study included 21,317 individuals who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, where baseline characteristics and NPAR level were extracted. Data for CVD and all-cause mortality were acquired by linking the cohort database with the National Death Index through December 31, 2019. We employed restricted cubic spline analyses to examine the nonlinear association. Weighted Kaplan-Meier curves with log-rank tests were conducted to access cumulative survival differences across different NPAR results. Multivariable Cox proportional hazards regression models were used to compute hazard ratios and 95% CIs. Receiver Operating Characteristic (ROC) curves were used to compare predictive value of NPAR with systemic immune inflammation index (SII) and neutrophils percent.

Results

In this cohort study, during 270,014 person-years of follow-up, 4,074 all-cause deaths and 1,116 CVD-cause deaths were documented. NPAR levels exhibited significant nonlinear associations with both CVD-cause (P = 0.018 for nonlinearity) and all-cause mortality (P < 0.001 for nonlinearity). Participants in the highest NPAR tertile had a significantly increased risk of all-cause mortality (HR: 1.46, 95% CI: 1.33-1.61) and CVD-cause mortality (HR: 1.54, 95% CI: 1.32-1.80) compared to those in the lowest tertile in the fully adjusted model, while no association was detected for individuals in the middle tertile. Further ROC analysis confirmed that NPAR had higher predictive value than neutrophil percent segment and SII.

Conclusions

Elevated NPAR level was significantly associated with an increased risk of all-cause and CVD-cause mortality in general population. The high predictive value of NPAR, combined with the easy-to-calculate property, suggests that its potential as a novel inflammatory indicator is worthy of further investigation.

Prognostic value of red blood cell distribution width-to-albumin ratio in ICU patients with coronary heart disease and diabetes mellitus

Background

The red blood cell distribution width (RDW)-to-albumin ratio (RAR) has emerged as a potentially valuable prognostic indicator in diverse medical conditions. However, the prognostic significance of RAR in intensive care unit (ICU) patients with coronary heart disease (CHD) and diabetes mellitus (DM) remains uncertain and requires further investigation.

Methods

This study aims to investigate the prognostic significance of RAR in ICU patients with coexisting CHD and DM through a retrospective cohort analysis using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database (version 2.2). The study population included patients aged 18 years or older who were diagnosed with both CHD and DM. The primary endpoint was 1-year mortality, and the secondary endpoints included 30-day mortality, 90-day mortality, hospital length of stay (LOS), and ICU LOS.

Results

A total of 3416 patients, of whom 64.64% were male, were included in the study. The 30-day mortality, 90-day mortality, and 1-year mortality were 7.08%, 7.44%, and 7.49%, respectively. After adjusting for confounding factors, multivariate Cox proportional risk analysis demonstrated that high RAR levels were associated with an increased risk of 30-day mortality (HR, 1.53 [95% CI 1.17-2.07], P = 0.006), 90-day mortality (HR, 1.58 [95% CI 1.17-2.13], P = 0.003), and 1-year mortality (HR, 1.58 [95% CI 1.17-2.13], P = 0.003). Furthermore, the restricted cubic spline (RCS) model indicated a linear relationship between RAR and 1-year mortality.

Conclusion

The results suggest that RAR holds potential as a valuable prognostic biomarker in ICU patients with both CHD and DM. Elevated RAR levels were found to be significantly associated with increased mortality during hospitalization, facilitating the identification of individuals at higher risk of adverse outcomes. These findings underscore the importance of incorporating RAR into risk stratification and overall management strategies for ICU patients with coexisting CHD and DM.

The Combination Effect of the Red Blood Cell Distribution Width and Prognostic Nutrition Index on the Prognosis in Patients Undergoing PCI

BACKGROUND

Inflammation and malnutrition are related to adverse clinical outcomes in patients with coronary artery disease (CAD). However, it is unclear whether there is a relationship between the PNI (prognostic nutritional index) and RDW (red blood cell distribution width) regarding the impact on the prognosis in patients with CAD undergoing percutaneous coronary intervention (PCI).

METHODS

A total of 5605 consecutive CAD patients undergoing PCI were selected retrospectively. The patients were stratified into four groups according to the PNI [high PNI (H-PNI) and low PNI (L-PNI)] and RDW [high RDW (H-RDW) and low RDW (L-RDW)]. The cutoff values of RDW and PNI were calculated using receiver-operating characteristic curve analysis. The primary endpoint was 1-year all-cause mortality (ACM). The secondary endpoint was major adverse cardiac cerebrovascular events (MACCEs), the composite of cardiac death (CD), the recurrence of MI, target lesion revascularization (TLR), and stroke. A Cox proportional hazards model was used to evaluate the association between the PNI, RDW, and clinical endpoints.

RESULTS

During 1-year follow-up, 235 (4.19%) patients died. In multivariate regression analysis, the L-PNI/H-RDW group was found to have the highest risk of 1-year ACM [hazard ratio (HR) = 8.85, 95% confidence interval (CI): 5.96-13.15, p = 0.020] with the H-PNI/L-RDW group as a reference, followed by the L-PNI/L-RDW (HR = 3.96, 95% CI: 2.60-6.00, p < 0.001) and H-RDW/H-PNI groups (HR = 3.00, 95% CI: 1.99-4.50, p < 0.001). Nomograms were developed to predict the probability of 1-year ACM and MACCEs.

CONCLUSIONS

CAD patients with L-PNI and H-RDW experienced the worst prognosis. The combination of PNI and RDW was a strong predictor of 1-year ACM. The coexistence of PNI and RDW appears to have a synergistic effect, providing further information for the risk stratification of CAD patients.

Predictive Value of the Naples Prognostic Score for Cardiovascular Outcomes in Patients With Chronic Kidney Disease Receiving Percutaneous Coronary Intervention

The Naples prognostic score (NPS) is a novel multidimensional inflammatory and nutritional assessment system in cancer patients. However, its significance in patients with chronic kidney disease (CKD) after percutaneous coronary intervention (PCI) remains unclear. The study has a single-center, retrospective design and included 631 patients with CKD who underwent index PCI between 2019 and 2022. All participants were divided into 2 groups according to the NPS (Low-risk group: n = 209; High-risk group: n = 422) and followed up until November 2022. The primary endpoint was Major Adverse Cardiac Events (MACE). NPS predicted MACE events better than other scores, besides, high-risk NPS with severe renal dysfunction (RD) group (MODEL 2) had superior MACE diagnostic efficiency than NPS high-risk group lonely. (NPS: AUC: 0.605, P < .001; MODEL 2: AUC: 0.624, P < .001, respectively). Kaplan-Meier survival analysis of two groups showed that high-risk group had higher incidence of MACE (P < .001). Meanwhile, high-risk group had higher MACE events [adjusted Hazard Ratio (aHR) 2.013, 95% CI 1.294, 3.132; P = .002]. NPS is an independent prognostic factor for CKD patients undergoing index PCI before operation whose predictive value for survival prognosis is better than other nutritional and inflammatory indicators. Compared with low NPS, patients with high NPS have a relatively poor prognosis.

In Vitro Spectroscopic Investigation of Losartan and Glipizide Competitive Binding to Glycated Albumin: A Comparative Study

Understanding the interaction between pharmaceuticals and serum proteins is crucial for optimizing therapeutic strategies, especially in patients with coexisting chronic diseases. The primary goal of this study was to assess the potential changes in binding affinity and competition between glipizide (GLP, a second-generation sulfonylurea hypoglycemic drug) and losartan (LOS, a medication commonly prescribed for hypertension, particularly for patients with concurrent diabetes) with non-glycated (HSA) and glycated (gHSAGLC, gHSAFRC) human serum albumin using multiple spectroscopic techniques (fluorescence, UV-visible absorption, and circular dichroism spectroscopy). The results indicated that FRC is a more effective glycation agent for HSA than GLC, significantly altering the albumin structure and affecting the microenvironment around critical amino acid residues, Trp-214 and Tyr. These modifications reduce the binding affinity of LOS and GLP to gHSAGLC and gHSAFRC, compared to HSA, resulting in less stable drug-protein complexes. The study revealed that LOS and GLP interact nonspecifically with the hydrophobic regions of the albumin surface in both binary (ligand-albumin) and ternary systems (ligand-albumin-ligandconst) and specifically saturate the binding sites within the protein molecule. Furthermore, the presence of an additional drug (GLP in the LOS-albumin complex or LOS in the GLP-albumin complex) complicates the interactions, likely leading to competitive binding or displacement of the initially bound drug in both non-glycated and glycated albumins. Analysis of the CD spectra suggests mutual interactions between GLP and LOS, underscoring the importance of closely monitoring patients co-administered these drugs, to ensure optimal therapeutic efficacy and safety.

Evaluation of Naples Score for Long-Term Mortality in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

The Naples score (NS), which is a composite of cardiovascular adverse event predictors including neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, albumin, and total cholesterol, has emerged as a prognostic risk score in cancer patients. We aimed to investigate the predictive value of NS for long-term mortality in ST-segment elevation myocardial infarction patients (STEMI). A total of 1889 STEMI patients were enrolled in this study. The median duration of the study was 43 months (IQR: 32-78). Patients were divided into 2 groups according to NS as group 1 and group 2. We created 3 models as a baseline model, model 1 (baseline + NS in continuous), and model 2 (baseline + NS as categorical). Group 2 patients had higher long-term mortality rates than group 1 patients. The NS was independently associated with long-term mortality and adding NS to a baseline model improved the model performance for prediction and discrimination of long-term mortality. Decision curve analysis demonstrated that model 1 had a better net benefit probability for detecting mortality compared with the baseline model. NS had the highest contributive significant effect in the prediction model. An easily accessible and calculable NS might be used for risk stratification of long-term mortality in STEMI patients undergoing primary percutaneous coronary intervention.

Protective effect of chlorogenic acid on liver injury in heat-stressed meat rabbits

This study investigated the protective effects of chlorogenic acid (CGA) on production performance and liver function of rabbits under heat stress (HS) condition. A total of 120 healthy New Zealand weaned rabbits with similar initial body weight, were randomly divided into 3 treatments with 20 replicates per treatment and 2 weaned rabbits per replicate: control (CON) group (rabbits were housed at 25 ± 1°C and fed a basal diet), HS group (rabbits were housed at 35 ± 1°C and fed a basal diet), and HS + CGA group (rabbits were housed at 35 ± 1°C and fed a basal diet supplemented with 800 mg/kg CGA). The trial lasted for 28 days. The results showed that HS challenge decreased (p < 0.05) growth performance, induced oxidative stress and hepatic apoptosis, and caused liver damage in rabbits. However, dietary CGA supplementation increased (p < 0.05) body weight gain and feed efficiency, and enhanced (p < 0.05) antioxidative capacity in serum and liver in HS-challenged rabbits; attenuated HS-induced increases in urea nitrogen (p = 0.03), alanine aminotransferase (p = 0.03), aspartate aminotransferase (p = 0.01), caspase-8 (p = 0.02), and caspase-3 (p = 0.04) as well as decrease albumin (p = 0.04). Moreover, supplementation with CGA upregulated Nrf2/HO-1 pathway-related genes expressions, including Nrf2 (p = 0.009), HO-1 (p = 0.03) and SOD1 (p = 0.04) in HS-challenged rabbits. Our findings demonstrated that dietary CGA supplementation could alleviate HS-induced decline in growth performance, and protect against HS-induced liver damage partially through enhancing antioxidant capacity via acting Nrf2/HO-1 pathway and inhibiting hepatic apoptosis in rabbits.

The relationship between the new inflammatory markers and disease severity in patients with acute coronary syndrome

BACKGROUND

Inflammation plays a crucial role in the progression of acute coronary syndrome.

AIMS

The aim of this study was to investigate the relationship between the SYNTAX score and new inflammatory markers including albumin-globulin ratio (AGR), C-reactive protein-to-albumin ratio (CAR), fibrinogen-to-albumin ratio (FAR), neutrophil-to-albumin ratio (NAR), and neutrophil percentage-to-albumin ratio (NPAR) in STEMI and NSTEMI patients.

METHODS

The study involved 53 STEMI and 64 NSTEMI patients, and each patient group was evaluated separately. Multivariate linear regression analysis was utilised to identify independent risk factors associated with SYNTAX scores.

RESULTS

Out of the 64 NSTEMI patients, 42 had low SYNTAX score (65.6%), and 22 had high SYNTAX score (34.4%). Patients with high SYNTAX scores had significantly higher levels of age, glucose, fibrinogen, monocyte, and FAR, and lower levels of albumin and total protein. We found that FAR and monocyte levels were independent predictors of the high SYNTAX score. The study also determined that the cut-off value for FAR as 9.99, with a sensitivity of 81% and a specificity of 73% for predicting high SYNTAX score in NSTEMI patients. Out of the 53 STEMI patients, 42 had low SYNTAX score (79.2%), and 11 had high SYNTAX score (20.8%). Patients with high SYNTAX scores exhibited significantly higher total cholesterol, LDL, and glucose levels, and lower albumin and total protein levels.

CONCLUSIONS

The FAR level is significantly linked with the high SYNTAX score and can be a useful marker for predicting the severity of disease in NSTEMI patients.

Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning

INTRODUCTION

This study aims to construct a mortality prediction model for patients with non-variceal upper gastrointestinal bleeding (NVUGIB) in the intensive care unit (ICU), employing advanced machine learning algorithms. The goal is to identify high-risk populations early, contributing to a deeper understanding of patients with NVUGIB in the ICU.

METHODS

We extracted NVUGIB data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.2) database spanning from 2008 to 2019. Feature selection was conducted through LASSO regression, followed by training models using 11 machine learning methods. The best model was chosen based on the area under the curve (AUC). Subsequently, Shapley additive explanations (SHAP) was employed to elucidate how each factor influenced the model. Finally, a case was randomly selected, and the model was utilized to predict its mortality, demonstrating the practical application of the developed model.

RESULTS

In total, 2716 patients with NVUGIB were deemed eligible for participation. Following selection, 30 out of a total of 64 clinical parameters collected on day 1 after ICU admission remained associated with prognosis and were utilized for developing machine learning models. Among the 11 constructed models, the Gradient Boosting Decision Tree (GBDT) model demonstrated the best performance, achieving an AUC of 0.853 and an accuracy of 0.839 in the validation cohort. Feature importance analysis highlighted that shock, Glasgow Coma Scale (GCS), renal disease, age, albumin, and alanine aminotransferase (ALP) were the top six features of the GBDT model with the most significant impact. Furthermore, SHAP force analysis illustrated how the constructed model visualized the individualized prediction of death.

CONCLUSIONS

Patient data from the MIMIC database were leveraged to develop a robust prognostic model for patients with NVUGIB in the ICU. The analysis using SHAP also assisted clinicians in gaining a deeper understanding of the disease.