High neutrophil to lymphocyte ratio with type 2 diabetes mellitus predicts poor prognosis in patients undergoing percutaneous coronary intervention: a large-scale cohort study

Evaluation and comparison of inflammatory and insulin resistance indicators on recurrent cardiovascular events in patients undergoing percutaneous coronary intervention: a single center retrospective observational study

BACKGROUND

The aim of this study was to evaluate and compare the usefulness of the C-reactive protein (CRP)-triglyceride glucose (TyG) index (CTI) and other insulin resistance (IR) or inflammatory indexes for predicting recurrent cardiovascular events in percutaneous coronary intervention (PCI)-treated patients. In addition, the mediating effects of systemic inflammation, represented by high-sensitive CRP (hs-CRP), on TyG index-associated adverse cardiovascular events across different subgroups were also evaluated.

METHODS

The formula for calculating the CTI was 0.412 × ln [high-sensitivity CRP (mg/L)] + ln [triglyceride (mg/dl) × fasting glucose (mg/dl)/2]. The primary endpoint was defined as the incidence of major adverse cerebrovascular and cardiovascular events (MACCEs), including cardiovascular death, nonfatal acute myocardial infarction (AMI), nonfatal ischemic stroke and repeat coronary revascularization.

RESULTS

Among the 2383 PCI-treated patients, 413 experienced MACCEs during a median of 34 months follow-up. Correlation analysis showed CTI was significantly associated with cardiometabolic factors. The CTI was the strongest predictor for MACCEs (adjusted HR 1.85, 95% CI 1.44-2.38) among the inflammatory and IR indicators. CTI had an incremental effect on the predictive ability of the prognostic model for MACCEs (NRI: 0.220, p < 0.001; IDI: 0.009, p < 0.001). Subgroup analysis revealed that the prognostic value of the CTI remained significant across all subgroups (all p < 0.05) whereas the predictive abilities of other IR or inflammatory indicators were more or less influenced by the metabolic abnormalities. Finally, mediation analysis revealed that the effects of systemic inflammation on TyG index-associated MACCEs were more prominent in patients with metabolic disorders.

CONCLUSIONS

CTI was a practical indicator for evaluating cardiometabolic diseases. Among the IR and inflammatory indicators, CTI was the most promising index for predicting recurrent cardiovascular risks in PCI-treated patients. TyG index-associated cardiovascular risks were partially mediated by systemic inflammation in patients with metabolic abnormalities.

Association between mild renal insufficiency, inflammatory status on initial admission, and 1-year mortality following ST-segment elevation myocardial infarction

The systemic inflammation tends to increase progressively as kidney function deteriorates. However, it remains unknown whether mild renal insufficiency affects inflammatory response at admission and subsequent clinical outcomes following ST-segment elevation myocardial infarction (STEMI). This study aimed to evaluate the joint, interactive, and mediating effects of estimated glomerular filtration rate (eGFR) and neutrophil-lymphocyte ratio (NLR) at admission on 1-year mortality in STEMI patients. Data were collected from 5,594 consecutive STEMI patients at seven centers (NCT04996901). Mildly reduced eGFR (60-89 mL/min/1.73m2) was associated with both elevated NLR and increased 1-year mortality (β 0.55, 95%CI [0.07-1.02], P = 0.024; HR 2.18, 95%CI [1.55-3.08], P < 0.001; respectively). Inflammation at admission mediated a small but significant proportion of the association between mildly reduced eGFR and mortality risk (1.7%, P = 0.030). Incorporating eGFR and NLR into a predictive model significantly improved mortality prediction following STEMI compared with clinical risk factors alone (C-index, 0.799 vs. 0.730, P < 0.001; net reclassification index 0.334, P < 0.001). These findings support the identification of patients at risk who may benefit from intensive kidney function monitoring and early adjuvant intervention, while also highlighting the need for developing anti-inflammatory therapies for STEMI patients with renal insufficiency.

Combined impact of neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) and cognitive function on all-cause mortality in older adults: a population-based study

BACKGROUND

The neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) has emerged as a potential biomarker for chronic disease outcomes. Cognitive impairment is a major contributor to mortality in older adults. However, the combined effect of NHR and cognitive function on all-cause mortality remains unclear. This study aims to investigate the joint impact of NHR and cognitive impairment on all-cause mortality in this population.

METHODS

We analyzed participants in the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2014. Participants were grouped according to NHR levels, DSST scores, and the combined NHR and DSST. Weighted Cox regression models assessed the association between NHR, cognitive impairment, and all-cause mortality. Weighted Kaplan-Meier curves estimated survival probabilities.

RESULTS

The study involved 1,486 participants (weighted sample was 54,078,084) aged 60 years and older, of whom 81.76% (n = 1,180) survived and 18.24% (n = 306) died by the end of follow-up. The median follow-up time was 78 months (IQR: 68-94). Weighted multivariable Cox regression revealed that high NHR (HR = 1.82, 95% CI: 1.21-2.74; P = 0.004), cognitive impairment (HR = 1.87, 95% CI: 1.25-2.79; P = 0.002), and the combination of high NHR and cognitive impairment (HR = 2.98, 95% CI: 1.45-6.14; P = 0.003) were independently associated with higher all-cause mortality, after full adjustment in model 3. Kaplan-Meier curves revealed significant survival differences, with the highest survival rate in the NHR Low & Normal cognition and the lowest in the NHR High & Cognitive impairment (P < 0.001).

CONCLUSIONS

High NHR and cognitive impairment in aged 60 years and older have an increased risk of all-cause mortality. These findings underscore the importance of integrating both NHR and cognitive assessments in mortality risk evaluations, offering a potential strategy for early intervention in aging populations.

Association of Systemic Inflammatory Response Index with the cardiometabolic multimorbidity among US adults: A population-based study

BACKGROUND

Chronic inflammation plays an essential role in the occurrence and progression of cardiometabolic diseases (CMDs). We aim to examine the association between a novel inflammatory biomarker Systemic Inflammatory Response Index (SIRI) and different cardiometabolic multimorbidity (CMM) statuses.

METHODS

This was a cross-sectional study that includes general participants of the National Health and Nutrition Examination Survey database from 1999 to 2018. SIRI was calculated as neutrophil count × lymphocyte count/monocyte count. The CMDs were defined as a series of diseases including diabetes mellitus (DM), heart disease (HD), and stroke. We explored the association of SIRI with outcomes with weighted multivariable logistic regression models weighted restricted cubic spline. The diagnostic value of SIRI was evaluated using weighted receiver operating characteristic (ROC) curves.

RESULTS

A total of 43,345 participants were enrolled with a mean age of 45.86 years. The weighted prevalence of CMD and CMM was 17.14% and 2.94%, respectively. Compared to those without CMD, the adjusted odds ratios (95% confidence interval) for each unit increase in SIRI were 1.14 (1.09-1.19) for DM, 1.13 (1.07-1.19) for HD, 1.11 (1.04-1.19) for stroke, 1.17 (1.12-1.22) for CMD, and 1.16 (1.10-1.23) for CMM, according to the weighted multivariable logistic regression. Elevated SIRI level was independently associated with increased CMM. There was no interaction found in subgroup analysis. According to the ROC analysis, SIRI had a superior diagnostic ability to neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and monocyte-lymphocyte ratio for CMD (area under the curve [AUC] =0.581) and CMM (AUC = 0.633).

CONCLUSIONS

Elevated level of SIRI was positively associated with the prevalence of DM, coronary artery disease, stroke, CMD, and CMM, suggesting that SIRI could be a potential noninvasive biomarker for CMD and CMM.

Predictive value of system immune-inflammation index for the severity of coronary stenosis in patients with coronary heart disease and diabetes mellitus

Coronary heart disease (CHD) has been recognized as a chronic progressive inflammatory disorder, and Diabetes mellitus (DM) is an independent risk factor for the pathogenesis of CHD. Recent research has underscored the systemic immune-inflammation index (SII) as a potent prognostic indicator for individuals suffering from acute coronary syndrome (ACS). This study aimed to delve into the relationship between SII and the degree of coronary atherosclerotic stenosis in non-acute myocardial infarction patients with or without DM. We enrolled a total of 2760 patients with cardiovascular disease between November 2023 and May 2024. All eligible participants were divided into the CHD group and the DM & CHD group according to the existence of comorbid DM. Our study revealed that the SII values were significantly higher in diabetic patients with CHD compared to those with CHD alone (P < 0.05). Furthermore, among patients with both CHD and DM, higher SII values were associated with a greater likelihood of developing complex, triple-branch coronary artery lesions, while the opposite trend was observed in CHD populations (P < 0.05). In the regression model completely adjusted for potential confounders, the correlation between high SII levels and co-existing DM status in CHD patients persisted as statistically significant even after attaining guideline-recommended LDL-C and TG goals (P < 0.05). Moreover, our findings demonstrated a significant link between SII levels and the severity of coronary artery stenosis as assessed by coronary angiography, particularly in the DM and CHD patient cohorts (P < 0.05). Further stratified analysis revealed a novel finding that SII levels in DM and CHD patients maintained a positive linear relationship with coronary plaque burden even under stringent glycemic control (P < 0.01, r = 0.37), whereas this correlation was absent in CHD patients who had FBG of 7 mmol/L or lower upon admission (P < 0.01, r < 0.30). These important findings underscore the SII as an independent predictor of the severity of coronary plaque burden in diabetic patients with CHD, offering valuable insights that can aid clinicians in refining risk stratification and implementing personalized management strategies for those at elevated risk.

Clinical characteristics of adrenal crisis in 371 adult patients with glucocorticoid-induced adrenal insufficiency

Background

Glucocorticoid-induced adrenal insufficiency (GIAI) is a hypothalamic-pituitary-adrenal (HPA) axis dysfunction caused by long-term use of exogenous steroids. Adrenal crisis (AC) is an acute complication of GIAI and one of the reasons for the increased risk of death. This study aims to analyze the clinical characteristics of GIAI patients with AC and explore the related risk factors.

Methods

Clinical data of adult GIAI patients treated at our hospital between January 1, 2014, and December 31, 2023 were included. The demographic characteristics, clinical characteristics, laboratory tests and comorbidities of the patients were collected. Univariate and multivariate regression analyses were used to explore the variables related to the occurrence of AC, and prediction models were constructed.

Results

51 patients (13.75%) developed AC during hospitalization. Mortality was significantly higher in patients with AC than in those without AC. Multivariate logistic regression analysis showed that infection, psychiatric symptoms, serum sodium, albumin, neutrophil-lymphocyte ratio (NLR) and eosinophil-lymphocyte ratio (ELR) were independent risk factors for AC. Among the prediction models constructed by machine learning algorithms, logistic regression model had the best prediction effect.

Conclusion

This study investigated the clinical characteristics of AC in GIAI patients. NLR and ELR may be effective predictors of AC in GIAI patients, and combined with other clinically significant indicators, an effective prediction model was constructed. Logistic regression model had the best performance in predicting AC in GIAI patients.

Molecular-Genetic Biomarkers of Diabetic Macular Edema

Background: Diabetic macular edema (DME) is a leading cause of vision impairment and blindness among diabetic patients, requiring effective diagnostic and monitoring strategies. This systematic review aims to synthesize current knowledge on molecular biomarkers associated with DME, focusing on their potential to improve diagnostic accuracy and disease management. Methods: A comprehensive search was conducted in PubMed, Embase, Medline, and the Cochrane Central Register of Controlled Trials, covering literature from 2004 to 2023. Out of 1074 articles initially identified, 48 relevant articles were included in this systematic review. Results: We found that molecules involved in several cellular processes, such as neuroinflammation, oxidative stress, vascular dysfunction, apoptosis, and cell-to-cell communication, exhibit differential expression profiles in various biological fluids when comparing diabetic individuals with or without macular edema. Conclusions: The study of these molecules could lead to the proper identification of specific biomarkers that may improve the diagnosis, prognosis, and therapeutic management of DME patients.

Association of neutrophil-to-lymphocyte ratio with all-cause and cardiovascular mortality in CVD patients with diabetes or pre-diabetes

The neutrophil-to-lymphocyte ratio (NLR), a simple marker of systemic inflammation, is crucial in the progression of cardiovascular diseases (CVD). Its predictive value for all-cause and cardiovascular mortality in CVD patients with diabetes or pre-diabetes remains unclear. We analyzed 3,780 CVD patients with diabetes or pre-diabetes from the National Health and Nutrition Examination Survey (2001-2018). Kaplan-Meier survival curves, weighted Cox proportional hazards models, and restricted cubic spline (RCS) analyses were used to assess the relationship between NLR and mortality risk. RCS revealed a U-shaped association between NLR and all-cause mortality, with an inflection point at 1.776. For NLR < 1.776, the risk of all-cause mortality decreased by 13% per unit increase in NLR (HR: 0.87, 95% CI: 0.76-0.98). For NLR ≥ 1.776, the risk increased by 15% per unit increase (HR: 1.15, 95% CI: 1.10-1.26). A positive linear association was found between NLR and cardiovascular mortality, with a 17% increase in risk per unit increase in NLR (HR: 1.17, 95% CI: 1.10-1.25). No significant interactions were observed in stratified analyses. Our study revealed the U-shaped relationship between NLR and all-cause mortality, and a positive linear relationship with cardiovascular mortality in CVD patients with diabetes or pre-diabetes.

The biomarkers associated with non-dipper pattern in patients with type 2 diabetes with hypertension

Background and aims

The non-dipper pattern is present in about 50 percent of patients with type 2 diabetes (T2D) and hypertension, a status associated with more frequent cardiovascular complications and restrained prognosis. This study aimed to identify simple biomarkers that can be used for the classification of dipper and non-dipper individuals with type 2 diabetes and hypertension.

Method

138 consecutive patients with type 2 diabetes mellitus (DM) and hypertension underwent 24-hour ambulatory blood pressure monitoring (ABPM), 54 (39.1%) dippers and 84 (60.9%) non-dippers; CBC and determinations of different biomarkers, as well as their ratio was also performed, for comparing the two dipper profiles. The different dipper profiles were established by ABPM, which highlights the mean arterial pressure (MAP), the mean heart rate (MHR), and the mean pulse pressure (MPP). The area under the receiver operating characteristic curve (AUC) was used to evaluate the ability of biomarkers to differentiate dippers from non-dippers.

Results

The study included 54 dipper and 84 non-dipper patients. The median age was 64 years (interquartile range 58-74), ranging from 24 to 85 years. The comparison between dipper and non-dipper in patients with type 2 diabetes and hypertension concerning different biomarkers found only two that were statistically significant: triglycerides to hemoglobin A1c (HbA1c) ratio and triglycerides to glucose ratio. For both biomarkers, the dippers had higher values than non-dippers. The best AUCs were found for triglycerides (Trig) to glucose ratio of 0.774 (95% confidence interval 0.601 - 0.92), statistically significant, followed at a distance by lymphocytes, platelets-lymphocytes ratio (PLR), platelet distribution width (PDW-SD), mean platelet volume (MPV) /Lymphocytes, and others, none of them being statistically significant.

Conclusions

This study offers valuable insights into the classification of dipper and non-dipper individuals with type 2 diabetes and hypertension using several biomarkers. Notably, the triglyceride-to-glucose ratio appeared as a significant marker with considerable discriminative capacity, indicating its potential therapeutic value in risk stratification and personalized treatment strategies.

Assessment of neutrophil/lymphocyte ratio and mean platelet volume values in patients with diabetes mellitus diagnosis: A case-control study

Diabetes mellitus, fundamentally characterized by hyperglycemia, leads to significant metabolic disturbances. Type 2 diabetes mellitus is a chronic, inflammatory, preventable metabolic disease that is a significant health issue globally. The neutrophil-to-lymphocyte ratio (NLR) is an essential marker of systemic inflammation. We aimed to reveal the relationship between long-term glucose control and NLR, mean platelet volume (MPV), and red blood cell width in patients with type 2 diabetes. This was a retrospective case-control study. A total of 3532 applications in 2 years time were identified. Age, gender, medical history, white blood cell (WBC), hemoglobin, mean corpuscular volume (MCV), MPV, red blood cell width, NLR, hematocrit, platelet, C-reactive protein, Haemoglobin A1C data of the patients were analyzed. 1790 patients were included. A significant positive correlation was found between HbA1c and age, white blood cell, hematocrit, MCV, red blood cell width, NLR, and CRP. A statistically significant negative correlation was found between HbA1c and MCV. The results showed statistically significant differences between NLR, MPV, WBC, MCV, age, and HbA1c levels. Increased HbA1c levels are usually associated with an increase in these parameters. This is important for determining the risk of complications and protecting target organs in diabetic patients. A significant decrease in MCV levels was found as HbA1c levels increased. This suggests that evaluating red blood cells in routine controls of diabetic patients may indicate glycemic control. These findings may be valuable in early diagnosis of complications.

Association of triglyceride-glucose index with adverse cardiovascular events in patients with established coronary artery disease according to different inflammatory status

BACKGROUND AND AIMS

This study aimed to investigate the association of the triglyceride-glucose (TyG) index, a simple-but-reliable indicator of insulin resistance, with risk of cardiovascular (CV) events in coronary artery disease (CAD) patients with different inflammation status.

METHODS AND RESULTS

We consecutively recruited 20,518 patients with angiograph-proven-CAD from 2017 to 2018 at Fuwai Hospital. Patients were categorized according to baseline TyG index tertiles (T) (tertile 1: ≤8.624; T2: 8.624-9.902 and T3: >9.902) and further assigned into 6 groups by high-sensitivity C-reactive protein (hsCRP) medians. The primary endpoint was CV events including CV death, nonfatal myocardial infarction and nonfatal stroke. During the 3.1-year-follow-up, 618 (3.0%) CV events were recorded. Overall, patients with high TyG index levels (T2 or T3) showed significantly increased risk of CV events (hazard ratio [HR]: 1.24; 95% confidence interval [CI]: 1.01-1.53; HR: 1.33; 95%CI: 1.05-1.68, respectively) compared with those with lowest Tyg index (T1) after adjusting for confounding factors. Upon stratification by hsCRP levels, elevated TyG index was associated with increased risk of CV events only in patients with hsCRP levels > median (per-1-unit-increase HR: 1.39; 95%CI: 1.11-1.74), rather than in those with hsCRP levels ≤ median. Furthermore, adding the TyG index to the predicting model led to a significant improvement in patients with hsCRP > median rather than in those with hsCRP ≤ median.

CONCLUSIONS

We firstly found that elevated TyG index levels were associated with increased risk of CV events in CAD patients, especially in those with increased inflammatory status, suggesting that it could help in risk stratification and prognosis in this population.

The relationship between advanced lung cancer inflammation index and high SYNTAX score in patients with non-ST-elevation myocardial infarction

Introduction

The advanced lung cancer inflammation index (ALI) is an independent prognostic biomarker of inflammation and nutrition in various types of cancer, acute heart failure and acute coronary syndrome. The SYNTAX (Synergy between Percutaneous Coronary Intervention with TAXUS and Cardiac Surgery) score (SXscore) is an angiographic scoring tool used to determine the extent and severity of coronary artery disease.

Aim

To investigate the relationship between ALI and coronary artery lesion complexity assessed using the SXscore in patients with non-ST-segment elevation myocardial infarction (NSTEMI).

Material and methods

Between February and November 2020, a total of 284 patients with NSTEMI were included consecutively. ALI was calculated with the formula body mass index (BMI) × serum albumin concentration/neutrophil-to-lymphocyte ratio (NLR). SXscore was calculated using the online calculator and divided into two groups - low (< 32) and high (≥ 33) - and then analyzed.

Results

Patients with a high SXscore had lower ALI (22.4 ±7.3 vs. 58.5 ±44.3, p = 0.016). In the univariable analysis, age (p = 0.046), BMI (p = 0.021), C-reactive protein (p = 0.002), peak troponin I (p = 0.009), NLR (p = 0.025), serum albumin (p = 0.003) and ALI (p < 0.001) were significantly associated with a high SXscore. ALI emerged as an independent predictor of a high SXscore in multivariable analysis (95% CI: 0.931-0.984, p = 0.002).

Conclusions

The ALI may be useful as a simple tool for predicting high SXscore in patients with NSTEMI. To our knowledge, this is the first study to examine the relationship between ALI and severity of CAD.

Neutrophil-to-lymphocyte ratio as a predictor of all-cause and cardiovascular mortality in coronary heart disease and hypertensive patients: a retrospective cohort study

Background

To date, no studies have investigated the correlation between the neutrophil-to-lymphocyte ratio (NLR) and the long-term risk of mortality in individuals with both coronary heart disease (CHD) and hypertension. This study aims to evaluate the association between NLR and all-cause and cardiovascular mortality among this patient population.

Methods

National Death Index (NDI) and National Health and Nutrition Examination Survey (NHANES 2001-2018) were the data sources. A nonlinear association between the NLR and mortality risk was shown by restricted cubic spline (RCS) analysis. Using a weighted Cox proportional hazards model, we quantitatively evaluated the effect of NLR on mortality risk.The capacity of NLR to forecast survival was assessed by evaluating time-dependent receiver operating characteristic (ROC) curves. A mediating influence analysis was conducted to assess the influence of NLR on mortality through eGFR as a mediator.

Results

The study involved a total of 2136 individuals. During the median follow-up interval of 76.0 months, 801 deaths were recorded. The RCS analysis showed NLR and mortality risk to have a nonlinear relationship. Two groups were established based on the participants' NLR levels: a group with high NLR (NLR > 2.65) and a group with low NLR (NLR < 2.65). After adjusting for potential confounding factors, the Cox proportional hazards model revealed that participants with an increased NLR faced a significantly higher risk of cardiovascular mortality. (HR 1.58, 95% CI 1.33-1.82, p < 0.0001) and all-cause mortality (HR 1.46, 95% CI 1.30-1.62, p < 0.0001). An analysis of interactions and data stratification corroborated the validity of our findings. eGFR was identified as a partial mediator in the association between NLR and mortality rates, contributing 12.17% and 9.66% of the variance in all-cause and cardiovascular mortality, respectively. The predictive performance for cardiovascular mortality was quantified using ROC curves, with respective AUC values of 0.67, 0.65, and 0.64 for predictions over 3, 5, and 10 years. The AUC values for all-cause mortality were 0.66, 0.64, and 0.63 for the same time frames.

Conclusion

For patients with CHD and hypertension, an elevated NLR serves as an independent prognostic indicator for both all-cause and cardiovascular mortality.

Correlation between Neutrophil-to-Lymphocyte Ratio and Diabetic Neuropathy in Chinese Adults with Type 2 Diabetes Mellitus Using Machine Learning Methods

Objective

One of the most frequent consequences of diabetes mellitus has been identified as diabetic peripheral neuropathy (DPN), and numerous inflammatory disorders, including diabetes, have been documented to be reflected by the neutrophil-to-lymphocyte ratio (NLR). This study aimed to explore the correlation between peripheral blood NLR and DPN, and to evaluate whether NLR could be utilized as a novel marker for early diagnosis of DPN among those with type 2 Diabetes Mellitus (T2DM).

Methods

We reviewed the medical records of 1154 diabetic patients treated at Tongji Hospital Affiliated to Tongji University from January 2022 to March 2023. These patients did not have evidence of acute infections, chronic inflammatory status within the past three months. The information included the clinical, laboratory, and demographic characteristics of the patient. Finally, a total of 442 T2DM individuals with reliable, complete, and accessible medical records were recruited, including 216 T2DM patients without complications (DM group) and 226 T2DM patients with complications of DPN (DPN group). One-way ANOVA and multivariate logistic regression were applied to analyze data from the two groups, including peripheral blood NLR values and other biomedical indices. The cohort was divided in a 7 : 3 ratio into training and internal validation datasets following feature selection and data balancing. Based on machine learning, training was conducted using extreme gradient boosting (XGBoost) and support vector machine (SVM) methods. K-fold cross-validation was applied for model assessment, and accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUC) were used to validate the models' discrimination and clinical applicability. Using Shapley Additive Explanations (SHAP), the top-performing model was interpreted.

Results

The values of 24-hour urine volume (24H UV), lower limb arterial plaque thickness (LLAB thickness), carotid plaque thickness (CP thickness), D-dimer and onset time were significantly higher in the DPN group compared to the DM group, whereas the values of urine creatinine (UCr), total cholesterol (TC), low-density lipoprotein (LDL), alpha-fetoprotein (AFP), fasting c-peptide (FCP), and nerve conduction velocity and wave magnitude of motor and sensory nerve shown in electromyogram (EMG) were considerably lower than those in the DM group (P < 0.05, respectively). NLR values were significantly higher in the DPN group compared to the DM group (2.60 ± 4.82 versus 1.85 ± 0.98, P < 0.05). Multivariate logistic regression analysis revealed that NLR (P = 0.008, C = 0.003) was a risk factor for DPN. The multivariate logistic regression model scores were 0.6241 for accuracy, 0.6111 for precision, 0.6667 for recall, 0.6377 for F1, and 0.6379 for AUC. Machine learning methods, XGBoost and SVM, built prediction models, showing that NLR can predict the onset of DPN. XGBoost achieved an accuracy of 0.6541, a precision of 0.6316, a recall of 0.7273, a F1 value of 0.6761, and an AUC value of 0.690. SVM scored an accuracy of 0.5789, a precision of 0.5610, a recall of 0.6970, an F1 value of 0.6216, and an AUC value of 0.6170.

Conclusions

Our findings demonstrated that NLR is highly correlated with DPN and is an independent risk factor for DPN. NLR might be a novel indicator for the early diagnosis of DPN. XGBoost and SVM models have great predictive performance and could be reliable tools for the early prediction of DPN in T2DM patients. This trial is registered with ChiCTR2400087019.

Aggravated Systemic Inflammation and Atherogenicity in African Patients Living With Type 2 Diabetes and Hypertension Comorbidity

Objective

To explore routinely measured markers of systemic inflammation in hypertension (HTN) and type 2 diabetes (T2D) comorbidity, and their association with atherogenicity.

Methods

This study included a total of 70 patients with T2D which were categorised into 2 groups, that is with T2D and with HTN comorbidity (T2D + HTN) (n = 35/group). All measured laboratory parameters were determined using standardised methods.

Results

The neutrophil/lymphocyte ratio (NLR) was elevated in patients with T2D + HTN when compared to those with T2D (P = .0494). This was also the case with C-reactive protein (CRP) levels (P < .0001) and systemic immune-inflammation (SII) index (P = .0298). Notably, the majority of patients with T2D + HTN [63% (n = 22)] were classified as having an intermediate or high atherogenic index of plasma (AIP). The correlation analysis of systemic inflammation showed significant associations between CRP and age (r = .24, P = .0477); CRP and red blood cell count (r = -.4, P = .0455), and SII and systolic blood pressure (SBP) (r = .33, P = .0056). However, there was no association between inflammatory profiles and lipograms (P > .05). We further assessed predictors for an elevated AIP using mutivariable regression model adjusted for age, SBP, CRP and SII. Only NLR was a significant predictor of AIP (β = .287, SE: 0.1, P = .0046).

Conclusion

HTN comorbidity in T2D is associated with exacerbated levels of inflammation and atherogenicity. NLR is a significant independent risk factor for increased atherogenicity in patients with T2D. Therefore, the use of therapeutic strategies that target and alleviate inflammation in patients with T2D and HTN comorbidity is imperative in reducing the initiating and progression of cardiovascular events (CVEs).

INFLA score: a novel inflammatory marker for assessing cardiometabolic disease risk in obese individuals

BACKGROUND

The low-grade inflammation score (INFLA-score) is a composite index that assesses chronic inflammatory status using multiple inflammatory markers. However, its correlation with cardiometabolic diseases (CMDs) in obese populations remains unclear.

METHODS

We conducted a prospective cohort study involving 79,160 participants with obesity (BMI ≥ 30 kg/m2) from the UK Biobank. The INFLA-score was calculated based on high-sensitivity C-reactive protein, leukocyte count, platelet count and granulocyte/lymphocyte ratio. We employed Kaplan-Meier survival curves, multivariable Cox regression, restricted cubic splines and accelerated time-to-failure models to analyse the association between the INFLA-score and CMDs risk, including coronary heart disease (CAD), stroke and type 2 diabetes mellitus (T2DM).

RESULTS

Over a median follow-up of 161.41 months, we recorded 14,903 CMDs events, comprising 7184 CAD cases, 1914 strokes and 7924 T2DM cases. Cox regression analysis revealed that each unit increase in the INFLA-score corresponded to a 1.5%, 1.1%, 1.2% and 2.4% increase CMDs risk (HR: 1.015, 95% CI 1.013-1.018), CAD risk (HR: 1.011, 95% CI 1.007-1.015), stroke risk (HR: 1.012, 95% CI 1.004-1.020) and T2DM risk (HR: 1.024, 95% CI 1.020-1.028), respectively. Restricted cubic spline analysis indicated a non-linear relationship between cumulative INFLA-score and CMDs risk (P = 0.044). Subgroup analysis revealed interactions between sex, age, history of lipid-lowering drug use, and INFLA-score regarding CMDs risk. Sensitivity analysis corroborated the main findings.

CONCLUSION

Our findings strongly support the close association between INFLA-score and CMDs risk, particularly notable in women, those aged < 55, and individuals with a history of lipid-lowering drug use. These findings offer new insights into the role of inflammation in obesity-related CMDs, suggesting potential applications for prevention and identification of high-risk populations.

Association Between Systemic Immune Inflammation Index and Diabetes Mellitus in the NHANES 2003-2018 Population

Objects

This study aimed to explore the association between the Systemic Immune-Inflammation Index (SII) and diabetes mellitus (DM) and to assess its influence on the prognosis of the DM and no-DM groups.

Methods

The study used data from the National Health and Nutrition Examination Survey; 9643 participants were included. Logistic regression analysis was employed to evaluate connections between SII and DM. We used the Cox proportional hazards model, restricted cubic spline, and Kaplan-Meier curve to analyze the relationship between SII and mortality.

Results

The logistic regression analysis indicated that a significant increase in the likelihood of developing DM with higher SII levels (odds ratio, 1.31; 95% CI, 1.09-1.57, P = .003). The Cox model showed that there is a positive association between increased SII and higher all-cause mortality. The hazard ratios for SII were 1.53 (1.31, 1.78), 1.61 (1.31, 1.98), and 1.41 (1.12, 1.78) in the total, DM and non-DM groups, respectively. We observed a linear correlation between SII and all-cause mortality in DM participants, whereas non-DM participants and the total population showed a nonlinear correlation.

Conclusion

Elevated SII levels are linked to an augmented risk of DM. Those with DM and higher SII levels demonstrated an elevated risk of mortality.

Relationship of neutrophil-to-lymphocyte ratio, in addition to C-reactive protein, with cardiovascular events in patients with type 2 diabetes

AIM

To quantify the relationship of neutrophil-to-lymphocyte ratio (NLR) with cardiovascular events and all-cause mortality in patients with type 2 diabetes (T2D), independent of C-reactive protein (CRP).

METHODS

Patients with T2D from the UCC-SMART-cohort were studied using multivariable-adjusted Cox regression. The relationship of NLR and CRP with vascular events (cerebrovascular events, myocardial infarction and vascular death) and all-cause mortality was quantified.

RESULTS

During 10,833 person-years, 232 vascular events and 302 deaths occurred in 1,239 patients with T2D. Risk of vascular events and all-cause mortality increased per standard deviation (SD) in NLR (hazard ratio (HR) 1.27; 95 % confidence interval (CI):1.11-1.46) and 1.15; 95 % CI:1.02-1.30) after adjustment for CRP. CRP was not associated with vascular events after adjustment for NLR, (HR per SD 1.03; 95 % CI: 0.90-1.19), but was associated with all-cause mortality (HR per SD 1.18; 95 % CI: 1.04-1.33). Notably, NLR was related to vascular events in patients with CRP < 2 mg/L (HR per unit 1.45; 95 % CI: 1.19-1.77).

CONCLUSION

In patients with T2D, NLR is related to higher risk of CVD and all-cause mortality, independently from CRP. NLR is related to CVD even when CRP is low, indicating that NLR is a marker of CVD-risk in addition to CRP. Both NLR and CRP are independently related to all-cause mortality in T2D patients.

Morphological Changes of Peri-Coronary Adipose Tissue Together with Elevated NLR in Acute Myocardial Infarction Patients in-Hospital

Background

Inflammation triggers atherosclerotic plaque rupture, leading to acute myocardial infarction (AMI). Following AMI, peri-coronary adipose tissue (PCAT) undergoes a transition from lipid-rich to hydrophilic characteristics due to vascular inflammation. This study investigates PCAT changes and neutrophil-to-lymphocyte ratio levels during AMI.

Patients and Methods

60 AMI patients undergoing coronary computed tomography angiography and angiography (Jan 2020-Jun 2022) were studied 60 age, gender, BMI-matched stable angina, and 60 non-coronary artery disease patients were included. Siemens VB20.0 measured PCAT-volume and fat attenuation index (FAI). Neutrophil-to-lymphocyte ratio levels were calculated by peripheral blood tests.

Results

The PCAT volume and PCAT-FAI gradually increased across the control, stable angina, and AMI groups, with a corresponding gradual rise in NLR. NLR exhibited weak positive correlation with PCAT-FAI (r=0.35) and PCAT-volume (r=0.24). Multivariable logistic regression identified increased PCAT-volume, PCAT-FAI and neutrophil-to-lymphocyte ratio as possible independent AMI risk factors. No significant PCAT-volume difference was observed between infarct-related artery (IRA) and non-IRA for all three coronary arteries. Only PCAT-FAI around IRA-LAD was higher than non-IRA-LAD (-74.84±6.93 HU vs -79.04±8.68 HU). PCAT-FAI around culprit vessels in AMI was higher than corresponding lesion related vessel in SA. PCAT-volume around narrowed non-IRA in AMI was higher than that of corresponding LRV in SA. PCAT-FAI of narrowed non-IRA-LADs and non-IRA-LCXs in AMI were elevated compared to LADs (-78.46±8.56HU vs -83.13±8.34 HU) and LCXs (-73.83±10.63 HU vs -81.38±7.88 HU) of lesion related vessel in stable angina.

Conclusion

We found an association between AMI and inflammation in the coronary perivascular adipose tissue and systemic inflammatory response.

Identification of a unique stress response state of T cells-related gene signature in patients with gastric cancer

Gastric cancer (GC), the third most lethal cancer worldwide, is often diagnosed at an advanced stage, leaving limited therapeutic options. Given the diverse outcomes among GC patients with similar AJCC/UICC-TNM characteristics, there is a pressing need for more reliable prognostic tools. Recent advances in targeted therapy and immunotherapy have underscored this necessity. In this context, our study focused on a novel stress response state of T cells, termed TSTR, identified across multiple cancers, which is associated with resistance to immunotherapy. We aimed to develop a predictive gene signature for the TSTR phenotype within the tumor microenvironment (TME) of GC patients. By categorizing GC patients into high and low TSTR groups based on the infiltration states of TME TSTR cells, we observed significant differences in clinical prognosis and characteristics between the groups. Through a multi-step bioinformatics approach, we established an eight-gene signature based on genes differentially expressed between these groups. We conducted functional validations for the signature gene PDGFRL in GC cells. This gene signature effectively stratifies GC patients into high and low-risk categories, demonstrating robustness in predicting clinical outcomes. Furthermore, these risk groups exhibited distinct immune profiles, somatic mutations, and drug susceptibilities, highlighting the potential of our gene signature to enhance personalized treatment strategies in clinical practice.

Impact of Relative Improvement in Quantitative Flow Ratio on Clinical Outcomes After Percutaneous Coronary Intervention - A Subanalysis of the PANDA III Trial

BACKGROUND

The clinical impact of relative improvements in coronary physiology in patients receiving percutaneous coronary intervention (PCI) for coronary artery disease (CAD) remains undetermined.

METHODS AND RESULTS

The quantitative flow ratio (QFR) recovery ratio (QRR) was calculated in 1,424 vessels in the PANDA III trial as (post-PCI QFR-pre-PCI QFR)/(1-pre-PCI QFR). The primary endpoint was the 2-year vessel-oriented composite endpoint (VOCE; a composite of vessel-related cardiac death, vessel-related non-procedural myocardial infarction, and ischemia-driven target vessel revascularization). Study vessels were dichotomously stratified according to the optimal QRR cut-off value. During the 2-year follow-up, 41 (2.9%) VOCEs occurred. Low (<0.86) QRR was associated with significantly higher rates of 2-year VOCEs than high (≥0.86) QRR (6.6% vs. 1.4%; adjusted hazard ratio [aHR] 5.05; 95% confidence interval [CI] 2.53-10.08; P<0.001). Notably, among vessels with satisfactory post-procedural physiological results (post-PCI QFR >0.89), low QRR also conferred an increased risk of 2-year VOCEs (3.7% vs. 1.4%; aHR 3.01; 95% CI 1.30-6.94; P=0.010). Significantly better discriminant and reclassification performance was observed after integrating risk stratification by QRR and post-PCI QFR to clinical risk factors (area under the curve 0.80 vs. 0.71 [P=0.010]; integrated discrimination improvement 0.05 [P<0.001]; net reclassification index 0.64 [P<0.001]).

CONCLUSIONS

Relative improvement of coronary physiology assessed by QRR showed applicability in prognostication. Categorical classification of coronary physiology could provide information for risk stratification of CAD patients.

The Neutrophil to Lymphocyte Ratio Modifies Lipoprotein (a)-Related Poor Prognosis in Patients After Percutaneous Coronary Intervention

Lipoprotein (a) [Lp(a)] could contribute to coronary artery disease (CAD) through proinflammatory effects. The neutrophil to lymphocyte ratio (NLR) is an inflammatory biomarker. We consecutively enrolled 7,922 CAD patients to investigate the synergistic association of Lp(a) and NLR with prognosis in patients undergoing percutaneous coronary intervention (PCI). NLR was calculated as the neutrophil count divided by the lymphocyte count. Cutoff for NLR was a median of 2.07. The threshold value was set at 30 mg/dL for Lp(a). The primary endpoint was major adverse cardiac events (MACEs), including all-cause mortality and myocardial infarction. During 2 years follow-up, 111 (1.40%) MACEs occurred. Lp(a) > 30 mg/dL was associated with an increased MACE risk in participants with NLR ≥2.07 [adjusted hazard ratio (HR), 1.84; 95% CI, 1.12-3.03], but not in participants with NLR <2.07 (adjusted HR, 0.74; 95% CI, 0.38-1.45) (Pinteraction = 0.021). Subgroup analysis demonstrated that the synergistic association of Lp(a) and NLR with prognosis was more pronounced in female patients (Pinteraction = 0.028). This study suggested that combining Lp(a) and NLR may be useful for risk stratification in CAD population.

Circulating miR-423-5p levels are associated with carotid atherosclerosis in patients with chronic kidney disease

BACKGROUND AND AIMS

Carotid atherosclerosis is associated with an elevated risk of stroke in patients with chronic kidney disease. However, the molecular basis for the incidence of carotid atherosclerosis in patients with CKD is poorly understood. Here, we investigated whether circulating miR-423-5p is a crucial link between CKD and carotid atherosclerosis.

METHODS AND RESULTS

We recruited 375 participants for a cross-sectional study to examine the occurrence of carotid plaque and plaque thicknesses. Levels of miR-423-5p were determined by qPCR analysis. We found that non-dialysis CKD patients had higher circulating exosomal and plasma miR-423-5p levels, and dialysis-dependent patients had lower miR-423-5p levels than non-dialysis CKD patients. After excluding for the influence of dialysis patients, linear regression analysis indicated that levels of circulating miR-423-5p are negatively correlated with eGFR (P < 0.001). Higher plasma miR-423-5p levels were associated with the incidence and severity of carotid plaques. In parallel, we constructed a murine model of CKD with a 5/6 nephrectomy protocol and performed RNA sequencing studies of aortic tissues. Consistent with these findings in CKD patients, circulating exosomal miR-423-5p levels in CKD mice were elevated. Furthermore, our RNA-seq studies indicated that the putative target genes of miR-423-5p were related to oxidative stress functions for aorta of CKD mice.

CONCLUSION

Levels of miR-423-5p are associated with the presence and severity of carotid plaque in CKD. Data from our mouse model suggests that miR-423-5p likely influences gene expression programs related to oxidative stress in aorta of CKD mice.

Association between the C-Reactive Protein-Albumin-Lymphocyte (CALLY) Index and Adverse Clinical Outcomes in CAD Patients after PCI: Findings of a Real-World Study

Background

The C-reactive protein-albumin-lymphocyte (CALLY) index is a novel inflammatory biomarker, and its association with the prognosis of coronary artery disease (CAD) after percutaneous coronary intervention (PCI) has not previously been studied. Therefore, this study aimed to investigate the effect of using the CALLY index on adverse outcomes in CAD patients undergoing PCI.

Methods

From December 2016 to October 2021, we consecutively enrolled 15,250 CAD patients and performed follow-ups for primary endpoints consisting of all-cause mortality (ACM) and cardiac mortality (CM). The CALLY index was computed using the following formula: (albumin × lymphocyte)/(C-reactive protein (CRP) × 10 4 ). The average duration of the follow-up was 24 months.

Results

A total of 3799 CAD patients who had undergone PCI were ultimately enrolled in the present study. The patients were divided into four groups according to the CALLY index quartiles: Q1 ( ≤ 0.69, n = 950), Q2 (0.69-2.44, n = 950), Q3 (2.44-9.52, n = 950), and Q4 ( > 9.52, n = 949). The low-Q1 group had a significantly higher prevalence of ACM (p < 0.001), CM (p < 0.001), major adverse cardiac events (MACEs) (p = 0.002), and major adverse cardiac and cerebrovascular events (MACCEs) (p = 0.002). Kaplan-Meier analysis revealed that a low CALLY index was significantly linked with adverse outcomes. After univariate and multivariate Cox regression analysis, the risk of ACM, CM, MACEs, and MACCEs decreased by 73.7% (adjust hazard risk [HR] = 0.263, 95% CI: 0.147-0.468, p < 0.001), 70.6% (adjust HR = 0.294, 95% CI: 0.150-0.579, p < 0. 001), 37.4% (adjust HR = 0.626, 95% CI: 0.422-0.929, p = 0.010), and 41.5% (adjust HR = 0.585, 95% CI: 0.401-0.856, p = 0.006), respectively, in the Q4 quartiles compared with the Q1 quartiles.

Conclusions

This study revealed that a decreased CALLY index was associated with worse prognoses for CAD patients after PCI. The categorization of patients with a decreased CALLY index could provide valuable evidence for the risk stratification of adverse outcomes in CAD patients after PCI.

Clinical Trial Registration

The details are available at http://www.chictr.org.cn (Identifier: NCT05174143).

Lipoprotein(a) is associated with recurrent cardiovascular events in patients with coronary artery disease and prediabetes or diabetes

PURPOSE

Elevated lipoprotein(a) [Lp(a)] and diabetes mellitus (DM) are both associated with adverse events in high-risk patients with established coronary artery disease (CAD). Currently, the association between Lp(a) levels and recurrent cardiovascular (CV) events (CVEs) remained undetermined in patients with different glucose status. Therefore, this study aimed to investigate the prognostic significance of Lp(a) levels for recurrent CVEs in high-risk CAD patients who suffered from first CVEs according to different glycemic metabolism.

METHODS

We recruited 5257 consecutive patients with prior CVEs and followed up for recurrent CVEs, including CV death, non-fatal myocardial infarction (MI), and non-fatal stroke. Patients were assigned to low, medium, and high groups according to Lp(a) levels and further stratified by glucose status.

RESULTS

During a median 37-month follow-up, 225 (4.28%) recurrent CVEs occurred. High Lp(a) was independently associated with recurrent CVEs [adjusted Hazard Ratio (HR), 1.57; 95% confidence interval (CI) 1.12-2.19; P = 0.008]. When participants were classified according to Lp(a) levels and glycemic status, high Lp(a) levels were associated with an increased risk of recurrent CVEs in pre-DM (adjusted HR, 2.96; 95% CI 1.24-7.05; P = 0.014). Meanwhile, medium and high Lp(a) levels were both associated with an increased risk for recurrent CVEs in DM (adjusted HR, 3.09; 95% CI 1.30-7.34; P = 0.010 and adjusted HR, 3.13, 95% CI 1.30-7.53; P = 0.011, respectively).

CONCLUSIONS

This study demonstrated that elevated Lp(a) levels were associated with an increased recurrent CVE risk in patients with CAD, particularly among those with pre-DM and DM, indicating that Lp(a) may provide incremental value in risk stratification in this population.

The value of neutrophil-to-lymphocyte ratio in predicting severity of coronary involvement and long-term outcome of percutaneous coronary intervention in patients with acute coronary syndrome: a systematic review and meta-analysis

BACKGROUND

The value of counting inflammatory cells and especially their counting ratio in predicting adverse clinical outcomes in patients with acute coronary syndrome (ACS) undergoing revascularization has been shown, but the results of studies have been very diverse and paradoxical. The aim of the current study was to systematically review the studies that investigated the role of increased neutrophil-to-lymphocyte ratio (NLR) in predicting long-term clinical outcomes in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).

METHODS

Data abstraction was independently performed by both un-blinded reviewers on deeply assessing Medline, Web of Knowledge, Google Scholar, Scopus, and Cochrane Central Register of Controlled Trials and using the relevant keywords. The risk of bias for each study was assessed using the criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions and the QUADAS-2 tool. Statistical analysis was performed using the Stata software. Overall, 14 articles published between 2010 and 2021 were eligible for the final analysis.

RESULTS

A total of 20,846 ACS patients undergoing PCI were included. Higher values of NLR were associated with higher numbers of involved coronaries (RR: 1.175, 95%CI 1.021-1.353, P = 0.024). Increasing the value of NLR was associated with a 3.4 times increase in long-term death (RR: 3.424, 95%CI 2.325-5.025, P = 0.001). Similarly, higher values of NLR were significantly associated with a higher likelihood of long-term MACE (RR: 2.604, 95%CI 1.736-3.906, P = 0.001).

CONCLUSIONS

NLR has a high value in predicting both the severity of coronary artery involvement and long-term adverse clinical outcomes following the PCI procedure.

Association of platelet-to-lymphocyte ratio levels with the risk of cardiac adverse events in people with type 2 diabetes undergoing percutaneous coronary intervention: A large-scale prospective cohort study

BACKGROUND

The platelet-to-lymphocyte ratio (PLR), a promising inflammatory biomarker, contributes to the development of atherosclerosis and type 2 diabetes (T2D). Therefore, this study aimed to elucidate the importance of PLR in predicting adverse events in people undergoing percutaneous coronary intervention (PCI) with T2D.

METHODS

We consecutively enrolled 8831 people who underwent PCI and divided them into four groups according to PLR and glycemic metabolic status (PLR-Low/High without T2D, PLR-Low/High with T2D). The endpoints were major adverse cardiovascular and cerebrovascular events (MACCE) and stent thrombosis. A multivariate Cox regression analysis was performed to determine this association.

RESULTS

During the 2.4-year follow-up, 663 (7.5%) MACCE and 75 (0.85%) stent thromboses were recorded. The risk of MACCE (hazard ratio [HR]: 1.30, 95% confidence interval [CI]: 1.10-1.53, P = 0.002) and stent thrombosis (HR: 2.32, 95% CI: 1.38-3.90, P = 0.002) was significantly higher in people with high PLR levels than in those with low PLR. Among people with T2D, the PLR-High group showed a significantly higher risk of MACCE (HR: 1.59, 95% CI: 1.21-2.09, P = 0.001) and stent thrombosis (HR: 3.15, 95% CI: 1.32-7.52, P = 0.010). However, these associations were not significant in people without T2D.

CONCLUSIONS

PLR has been originally documented as a significant predictor of poor prognosis and a high incidence of stent thrombosis in people undergoing PCI, especially in those with T2D.

SLC25A17 inhibits autophagy to promote triple-negative breast cancer tumorigenesis by ROS-mediated JAK2/STAT3 signaling pathway

BACKGROUND

SLC25A17, a peroxisomal solute carrier, has been implicated in various physiological and pathological processes. However, its precise roles and underlying mechanisms in triple-negative breast cancer (TNBC) remain incompletely understood.

METHODS

The expression and survival data of breast cancer were derived from TCGA and GEO databases. A variety of in vitro assays were conducted, including proliferation, apoptosis, cell cycle, migration, and invasion. Reactive oxygen species (ROS) were measured by immunofluorescence microscopy and flow cytometry. The levels of autophagy were assessed by mRFP-GFP-LC3 confocal microscopy scanning, western blotting, and electron microscopy.

RESULTS

SLC25A17 was highly expressed in breast cancer tissues, which was found to be associated with unfavorable prognosis. Functional assays demonstrated that SLC25A17 knockdown suppressed proliferation, epithelial-mesenchymal transition (EMT), migration, and invasion. Moreover, it prompted apoptosis and autophagy. On the other hand, SLC25A17 knockdown promoted autophagy through triggering ROS accumulation, which was counteracted by N-acetyl-l-cysteine (NAC). Furthermore, the pro-apoptotic effect of SLC25A17 knockdown was reversed when treated with autophagy inhibitor 3-MA in TNBC cells, suggesting that SLC25A17 knockdown-induced autophagic cell death. Mechanistically, SLC25A17 performed its function through regulation JAK2/STAT3 signaling in TNBC. In a nude mice xenograft study, SLC25A17 knockdown markedly decreased breast tumor growth and metastasis.

CONCLUSION

SLC25A17 up-regulation may be a critical factor driving TNBC progression by modulating ROS production and autophagy. Consequently, targeting SLC25A17 could be an effective therapeutic strategy against TNBC.

Triglyceride-glucose index as a suitable non-insulin-based insulin resistance marker to predict cardiovascular events in patients undergoing complex coronary artery intervention: a large-scale cohort study

BACKGROUND

Insulin resistance (IR), a hallmark of proceeding diabetes and cardiovascular (CV) disease, has been shown to predict prognosis in patients undergoing percutaneous coronary intervention (PCI). The triglyceride-glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and metabolic score for insulin resistance (METS-IR) have been shown to be simple and reliable non-insulin-based surrogates for IR. However, limited studies have determined the associations between distinct non-insulin-based IR markers and CV outcomes in patients undergoing complex PCI who are at higher risk of CV events after PCI. Therefore, this study aimed to investigate and compare the prognostic value of these markers in patients undergoing complex PCI.

METHODS

This was a descriptive cohort study. From January 2017 to December 2018, a total of 9514 patients undergoing complex PCI at Fuwai Hospital were consecutively enrolled in this study. The 3 IR indices were estimated from the included patients. The primary study endpoint was CV events, defined as a composite of CV death, nonfatal myocardial infarction and nonfatal stroke.

RESULTS

During a median follow-up of 3.1 years, 324 (3.5%) CV events occurred. Multivariable Cox regression models showed per-unit increase in the TyG index (hazard ratio [HR], 1.42; 95% confidence interval [CI] 1.13-1.77), rather than per-unit elevation in either Ln(TG/HDL-C ratio) (HR, 1.18; 95%CI 0.96-1.45) or METS-IR (HR, 1.00; 95%CI 0.98-1.02), was associated with increased risk of CV events. Meanwhile, adding the TyG index to the original model led to a significant improvement in C-statistics (0.618 vs. 0.627, P < 0.001), NRI (0.12, P = 0.031) and IDI (0.14%, P = 0.003), whereas no significant improvements were observed when adding Ln (TG/HDL-C ratio) or METS-IR (both P > 0.05) to the original model.

CONCLUSIONS

The TyG index, not TG/HDL-C ratio and METS-IR, was positively associated with worse CV outcomes in patients undergoing complex PCI. Our study, for the first time, demonstrated that the TyG index can serve as the suitable non-insulin-based IR marker to help in risk stratification and prognosis in this population.

Glycemic control and cardiovascular outcomes in patients with diabetes and coronary artery disease according to triglyceride-glucose index: a large-scale cohort study

BACKGROUND

The role of triglyceride-glucose (TyG) index, an insulin resistance indicator, in glycemic management for diabetic patients with coronary artery disease (CAD) was still unknown. Therefore, we aimed to explore the association between glycemic control and cardiovascular (CV) outcomes in patients with diabetes and CAD according to different TyG index levels.

METHODS

A total of 9996 diabetic patients with angiograph-proven CAD were consecutively recruited from 2017 to 2018 at Fuwai Hospital. Patients were assigned into 3 groups according to TyG index tertiles (T) (T1: <8.895; T2: 8.895-9.400; T3: ≥9.400). According to American Diabetes Association guidelines, controlled glycemia was defined as targeting glycosylated hemoglobin Alc (HbA1c) < 7%. The primary endpoint was CV events including CV death, nonfatal myocardial infarction, and nonfatal stroke.

RESULTS

During a median 3-year follow-up, 381 (3.8%) CV events occurred. Overall, high TyG index (T3) was associated with increased risk of CV events (hazard ratio [HR]: 1.40; 95% confidence interval [CI]: 1.02-1.94) compared with the lowest TyG index (T1) after multivariable adjustment. Upon stratification by the TyG index, in fully adjusted models, controlled glycemia was associated with reduced risk of CV events in the high TyG index (T3) subgroup (HR: 0.64; 95%CI: 0.42-0.96) but not in the low (T1; HR: 0.79; 95%CI: 0.53-1.16) and moderate (T2; HR: 0.84; 95%CI: 0.56-1.25) TyG index subgroups.

CONCLUSIONS

Controlled glycemia was associated with improved CV outcomes in patients with diabetes and established CAD, especially in those with high TyG index levels. Our study, for the first time, provided valuable information that TyG index could help making risk stratification on the glycemic management in diabetic patients with CAD.

The Combined Effect of Systemic Immune-Inflammation Index and Type 2 Diabetes Mellitus on the Prognosis of Patients Undergoing Percutaneous Coronary Intervention: A Large-Scale Cohort Study

Background

Chronic low-grade inflammation is the common mechanism of both atherosclerosis and type 2 diabetes mellitus (T2DM), and systemic immune-inflammation index (SII) has been emerged as a novel and simple inflammatory biomarker. However, the association between SII and glycemic metabolism and their synergetic effect on the prognosis of coronary artery disease (CAD) patients remains unclear.

Methods

A total of 8602 patients hospitalized for percutaneous coronary intervention (PCI) were included. The primary endpoint was major adverse cardiovascular events (MACE), including all-cause death, myocardial infarction (MI), and target vessel revascularization. According to the optimal cut-off value of SII for MACEs, patients were grouped into higher levels of SII (SII-H) and lower levels of SII (SII-L) and further divided by the concomitance of T2DM into four groups: SII-H/T2DM, SII-H/Non-T2DM, SII-L/T2DM, SII-L/Non-T2DM.

Results

During a median 2.4-year follow-up, 522 MACEs occurred. The optimal cut-off value of SII for MACEs was 502.5. A 1-unit increase of SII (transformed by natural logarithm) was associated with a 29% increase of MACE risks in the T2DM cohort [adjusted hazard ratio (HR): 1.29, 95% confidence interval (CI): 1.03 to 1.61, P = 0.024], while had no effect in the non-T2DM cohort (HR: 1.03, 95% CI: 0.80 to 1.34, P = 0.800). Compared to those in SII-H/T2DM group, patients in SII-H/Non-T2DM, SII-L/T2DM, SII-L/Non-T2DM had significantly decreased risk of MACEs [adjusted HR: 0.77, 95% CI: 0.61 to 0.98, P = 0.036; adjusted HR: 0.66, 95% CI: 0.50 to 0.87, P = 0.003; adjusted HR: 0.58, 95% CI: 0.45 to 0.74, P < 0.001; respectively]. Multivariable Cox regression analysis also indicated the highest risk in T2DM patients with higher levels of SII than others (P for trend < 0.001).

Conclusion

In this large-scale real-world study, diabetic patients with elevated SII levels were associated with worse clinical outcomes after PCI.

Discordance Between Neutrophil to Lymphocyte Ratio and High Sensitivity C-Reactive Protein to Predict Clinical Events in Patients with Stable Coronary Artery Disease: A Large-Scale Cohort Study

PURPOSE

Neutrophil to lymphocyte ratio (NLR), a novel inflammatory biomarker, has been shown to positively predict prognosis independent of high-sensitivity C-reactive protein (hsCRP) in patients with coronary artery disease (CAD). This study aimed to use discordance analysis to evaluate the effectiveness of NLR and hsCRP to predict adverse events in patients with stable CAD.

PATIENTS AND METHODS

This observational cohort study included 7827 consecutive CAD patients at Fuwai Hospital from March 2011 to April 2017. Discordant NLR with hsCRP was defined by the highest quartiles and medians. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs), including cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, and unplanned revascularization.

RESULTS

During a median 36-month follow-up, 624 (8.0%) MACCEs occurred. Compared with the lowest NLR quartile, a significantly higher risk of MACCEs was observed in the highest NLR quartile after adjusting for confounding factors (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.09-1.71). High NLR and low hsCRP discordance were also associated with an increased risk of MACCEs in the fully adjusted model (HR, 1.39; 95% CI, 1.05-1.84).

CONCLUSION

This study demonstrated that discordantly elevated NLR levels were associated with a greater risk of adverse clinical events in patients with stable CAD, suggesting the potential clinical significance of NLR as a goal of inflammatory risk management.

Prognostic significance of cyclin D1 expression pattern in HPV-negative oral and oropharyngeal carcinoma: A deep-learning approach

BACKGROUND

We aimed to establish image recognition and survival prediction models using a novel scoring system of cyclin D1 expression pattern in patients with human papillomavirus-negative oral or oropharyngeal squamous cell carcinoma.

METHODS

The clinicopathological data of 610 patients with human papillomavirus-negative oral/oropharyngeal squamous cell carcinoma were analyzed retrospectively. Cox univariate and multivariate risk regression analyses were performed to compare cyclin D1 expression pattern scoring with the traditional scoring method-cyclin D1 expression level scoring-in relation to patients' overall and progression-free survival. An image recognition model employing the cyclin D1 expression pattern scoring system was established by YOLOv5 algorithms. From this model, two independent survival prediction models were established using the DeepHit and DeepSurv algorithms.

RESULTS

Cyclin D1 had three expression patterns in oral and oropharyngeal squamous cell carcinoma cancer nests. Superior to cyclin D1 expression level scoring, cyclin D1 expression pattern scoring was significantly correlated with the prognosis of patients with oral squamous cell carcinoma (p < 0.0001) and oropharyngeal squamous cell carcinoma (p < 0.05). Moreover, it was an independent prognostic risk factor in both oral squamous cell carcinoma (p < 0.0001) and oropharyngeal squamous cell carcinoma (p < 0.05). The cyclin D1 expression pattern-derived image recognition model showed an average test set accuracy of 78.48% ± 4.31%. In the overall survival prediction models, the average concordance indices of the test sets established by DeepSurv and DeepHit were 0.71 ± 0.02 and 0.70 ± 0.01, respectively.

CONCLUSION

Combined with the image recognition model of the cyclin D1 expression pattern, the survival prediction model had a relatively good prediction effect on the overall survival prognosis of patients with human papillomavirus-negative oral or oropharyngeal squamous cell carcinoma.

Fibrinogen-to-Albumin Ratio and Long-Term Mortality in Coronary Artery Disease Patients with Different Glucose Metabolism Status

Background

Abnormal glucose metabolism is present in most patients with coronary artery disease (CAD). Inflammation is considered to be a common risk factor for CAD and diabetes. Fibrinogen-to-albumin ratio (FAR), a novel inflammation biomarker, has been proposed as a predictor for cardiovascular disease. However, the relationship between the level of FAR and long-term mortality including all-cause, cardiovascular and cancer mortality, remains unknown in CAD patients, especially those with prediabetes.

Methods

We enrolled 66,761 CAD patients from 2007 to 2020 from a multi-center registry cohort study. The primary outcomes were the all-cause, cardiovascular and cancer mortality. FAR was calculated using the following formula: Fibrinogen (g/L)/Albumin (g/L). Patients were divided into three groups by FAR tertile (low FAR (FAR-L), median FAR (FAR-M), high FAR (FAR-H)), and further categorized into 9 groups according to FAR and glucose metabolism status (normal glucose regulation (NGR), prediabetes mellitus (PreDM), diabetes mellitus (DM)). Cox regression models and competing risk models were used to examine the relationships between FAR and clinical outcomes.

Results

66,761 patients (63.1 ± 11.0 years, 75.3% male) were enrolled. During the follow-up, 10,534 patients died, including 4991 cardiovascular deaths and 1092 cancer deaths. After adjusting for confounders, higher FAR was associated with increased risk of all-cause and cause-specific mortality in CAD patients with NGR, PreDM and DM. The risk of all-cause and cardiovascular mortality was highest in FAR-H with DM (HR (95% CI) = 1.71 (1.58-1.86), 2.11 (1.86-2.38), respectively; p < 0.001). FAR-H with PreDM was significantly associated with the highest risk of cancer mortality (HR (95% CI) = 2.27 (1.70-3.02), p < 0.001). Adding FAR to the original model significantly improved the prediction of long-term mortality.

Conclusions

Increased FAR was significantly associated with higher risk of all-cause and cause-specific mortality in CAD patients with NGR, PreDM and DM. Abnormal glucose metabolism augments the relationship between FAR and mortality.

Clinical Trial Registration

ClinicalTrials.gov NCT05050877.

High triglyceride-glucose index predicts cardiovascular events in patients with coronary bifurcation lesions: a large-scale cohort study

BACKGROUND

Coronary bifurcation lesion, as a complex coronary lesion, is associated with higher risk of long-term poor prognosis than non-bifurcation lesions. The triglyceride-glucose (TyG) index has been shown to predict cardiovascular (CV) events in patients with coronary artery disease (CAD). However, the prognostic value of the TyG index in patients with bifurcation lesions who are at high risk of CV events remains undetermined. Therefore, this study aimed to investigate the association between the TyG index and CV events in patients with bifurcation lesions.

METHODS

A total of 4530 consecutive patients with angiography-proven CAD and bifurcation lesions were included in this study from January 2017 to December 2018. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting plasma glucose (mg/dL)/2]. Patients were assigned into 3 groups according to TyG tertiles (T) (T1: <8.633; T2: 8.633-9.096 and T3: ≥9.096). The primary endpoint was CV events, including CV death, nonfatal myocardial infarction and nonfatal stroke at 3-year follow-up. Restricted cubic spline (RCS) analysis, Kaplan-Meier curves and Cox proportional hazard models were used to investigate the associations between the TyG index and study endpoints.

RESULTS

During a median follow-up of 3.1 years, 141 (3.1%) CV events occurred. RCS analysis demonstrated a linear relationship between the TyG index and events after adjusting for age and male sex (non-linear P = 0.262). After multivariable adjustments, elevated TyG index (both T2 and T3) was significantly associated with the risk of CV events (hazard ratio [HR], 1.68; 95% confidence interval [CI],1.06-2.65; HR, 2.10; 95%CI, 1.28-3.47, respectively). When study patients were further stratified according to glycemic status, higher TyG index was associated with significantly higher risk of CV events in diabetic patients after adjusting for confounding factors (T3 vs. T1; HR, 2.68; 95%CI, 1.17-6.11). In addition, subgroup analysis revealed consistent associations of the TyG index with 3-year CV events across various subgroups. Furthermore, adding the TyG index to the original model significantly improved the predictive performance.

CONCLUSIONS

High TyG index was associated with CV events in patients with bifurcation lesions, suggesting the TyG index could help in risk stratification and prognosis in this population.

Uric Acid Levels, Number of Standard Modifiable Cardiovascular Risk Factors, and Prognosis in Patients With Coronary Artery Disease: A Large Cohort Study in Asia

Background Serum uric acid (UA) is correlated closely with traditional cardiovascular risk factors, which might interfere with the action of UA, in patients with coronary artery disease. We performed this study to evaluate the prognostic effect of UA levels in individuals with different numbers of standard modifiable cardiovascular risk factors (SMuRFs). Methods and Results In this prospective study, we consecutively enrolled 10 486 patients with coronary artery disease. They were stratified into 3 groups according to the tertiles of UA concentrations and, within each UA tertile, further classified into 3 groups by the number of SMuRFs (0-1 versus 2-3 versus 4). The primary end point was major adverse cardiovascular and cerebrovascular events (MACCEs), including death, myocardial infarction, stroke, and unplanned revascularization. Over a median follow-up of 2.4 years, 1233 (11.8%) MACCEs were recorded. Patients with high UA levels developed significantly higher risk of MACCEs than those with low UA levels. In addition, UA levels were positively associated with MACCEs as a continuous variable. More importantly, in patients with 0 to 1 SMuRF, the risks of MACCEs were significantly higher in the high-UA-level group (adjusted hazard ratio [HR], 1.469 [95% CI, 1.197-1.804]) and medium-UA-level group (adjusted HR, 1.478 [95% CI, 1.012-2.160]), compared with the low-UA-level group, whereas no significant association was found between UA levels and the risk of MACCEs in participants with 2 to 3 or 4 SMuRFs. Conclusions In patients with coronary artery disease who received evidence-based secondary prevention therapies, elevated UA levels might affect the prognosis of individuals with 0 to 1 SMuRF but not that of individuals with ≥2 SMuRFs.

Association Between Systemic Immune Inflammation Level and Poor Prognosis Across Different Glucose Metabolism Status in Coronary Artery Disease Patients

Background

Blood glucose levels significantly affect the clinical prognosis of patients with coronary artery disease (CAD), and systemic immune inflammation is a common risk factor for both CAD and diabetes. However, the relationship between immune inflammation levels and poor prognosis in patients with CAD with different glucose metabolic statuses remains unclear.

Methods

Between January 2007 and December 2020, we recruited 84,645 patients with CAD. The systemic immune inflammation index (SII) was used to comprehensively reflect the immune and inflammatory levels of patients and was calculated using the following formula: neutrophils × platelets/lymphocytes. The patients were classified into nine groups according to their glucose metabolism status (diabetes mellitus [DM], pre-diabetes mellitus [pre-DM], and normal glucose regulation [NGR]). Cox regression models and competing risk Fine and Gray models were used to investigate the association between SII and clinical outcomes.

Results

During the follow-up period, 12,578 patients died, including 5857 cardiovascular-related and 1251 cancer-related deaths. The risk of all-cause and cause-specific mortality increased with increasing SII tertiles in CAD patients with NGR, pre-DM, and DM. When considering glucose metabolism status, the multivariate cox regression revealed that CAD patients with DM and SII-H levels had the highest risk of all-cause mortality (1.69 [1.56-1.83]), cardiovascular mortality (2.29 [2.02-2.59]), and cancer mortality (1.29 [1.01-1.66]). Moreover, incorporating the SII into traditional risk factor models significantly improved the C-index for predicting all-cause and cardiovascular mortality.

Conclusion

Systemic immune inflammation levels on admission were correlated with a higher risk of all-cause and cause-specific mortality in patients with CAD, particularly in those with DM.

Diabetes Mellitus with Mild or Moderate Kidney Dysfunction is Associated with Poor Prognosis in Patients with Coronary Artery Disease: A Large-Scale Cohort Study

AIM

Both kidney dysfunction and diabetes mellitus (DM) predict long-term poor prognosis in patients with coronary artery disease (CAD). We aimed to evaluate the clinical outcomes according to the combined status of DM and different stages of kidney dysfunction in CAD patients.

METHODS

From January 2013 to December 2013, 9293 eligible patients hospitalized for percutaneous coronary intervention (PCI) at Fuwai hospital were followed up for major adverse cardiovascular and cerebrovascular events (MACCEs), a composite of all-cause mortality, myocardial infarction and stroke. Baseline kidney function was considered as stage I: normal or high kidney function; stage II: mild dysfunction and stage III: moderate dysfunction according to estimated glomerular filtration rate (eGFR). Upon baseline kidney function, diabetic and non-diabetic patients were divided into six groups.

RESULTS

During a median follow-up of 2.4 years, 326 (3.5%) MACCEs occurred. Compared to patients in the stage I/non-DM group, patients in the stage II/DM and stage III/DM groups had significantly increased MACCE risk [adjusted hazard ratio (aHR), 1.53; 95% confidence interval (CI), 1.09-2.15; P = 0.014; aHR, 3.00; 95%CI, 1.74-5.18; P<0.002, respectively]. Additionally, there were J-shaped associations of eGFR with MACCE risk regardless of glycemic metabolism status after adjusted for confounders. Furthermore, moderate kidney dysfunction conferred an increased MACCE risk in diabetic patients with uncontrolled glycemia (aHR, 2.93; 95%CI, 1.48-5.78; P=0.002).

CONCLUSIONS

DM with mild or moderate kidney dysfunction is associated with poor prognosis in CAD patients. Categorical classification of patients with DM and kidney dysfunction could provide prognostic information for risk stratification of CAD patients.

High absolute neutrophil count with type 2 diabetes is associated with adverse outcome in patients with coronary artery disease: A large-scale cohort study

Background

Inflammatory processes crucially modulate the development, progression, and outcomes of coronary artery disease (CAD). Since hyperglycemia could alter inflammatory responses, this study aimed to investigate the effect of ANC, a novel and rapidly available inflammatory biomarker, on the prognosis of patients undergoing PCI with or without type 2 diabetes (T2D).

Methods

A total of 7,826 patients with CAD hospitalized for PCI at Fuwai Hospital were consecutively recruited. According to the median ANC value, patients were stratified as having high ANC (ANC-H) or low ANC (ANC-L) and were further classified into four groups by T2D. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs), including all-cause mortality, myocardial infarction, stroke, and target vessel revascularization.

Results

During a median follow-up of 2.4 years, 509 (6.5%) MACCEs were documented. Diabetic patients with increased ANC were at significantly higher risk of MACCEs (aHR, 1.55; 95% CI, 1.21-1.99; P = 0.001) compared to those in the ANC-L/non-T2D group (P for interaction between T2D and ANC categories = 0.044). Meanwhile, multivariable regression analysis demonstrated the highest MACCE risk in diabetic patients with a higher level of ANC than others (P for trend <0.001).

Conclusion

This study suggests that stratification of patients with elevated ANC and T2D could provide prognostic information for CAD patients undergoing PCI.