Serum fibrinogen and cardiovascular events in Chinese patients with type 2 diabetes and stable coronary artery disease: a prospective observational study

Potentially causal association between immunoglobulin G N-glycans and cardiometabolic diseases: Bidirectional two-sample Mendelian randomization study

BACKGROUND

Observational studies support that altered immunoglobulin G (IgG) N-glycosylation and inflammatory factors are associated with cardiometabolic diseases (CMDs); nevertheless, the causality between them remains unclear.

METHODS

Two-sample Mendelian randomization (MR) analyses were conducted to systematically investigate the bidirectional causality between IgG N-glycans and nine CMDs in both East Asians and Europeans.

RESULTS

In the forward MR analysis, the univariable MR analysis presented suggestive causality of 14 and eight genetically instrumented IgG N-glycans with CMDs in East Asians and Europeans, respectively; the multivariable MR analysis showed that ten and 11 pairs of glycan-CMD associations were identified in East Asian and European populations, respectively. In the reverse MR analysis, based on East Asians and Europeans, the univariable MR analysis presented suggestive causality of seven and 12 genetically instrumented CMDs with IgG N-glycans, respectively; the multivariable MR analysis presented that six and five CMD-glycan causality were found in East Asian and Europeans, respectively.

CONCLUSIONS

The comprehensive MR analyses provide suggestive evidence of bidirectional causality between IgG N-glycans and CMDs. This work helps to understand the molecular mechanism of the occurrence/progression of CMDs, optimize existing and develop new strategies to prevent CMDs, and contribute to the early identification of high-risk groups of CMDs.

The association of inflammatory biomarkers and long-term clinical outcomes in older adults with non-ST elevation acute coronary syndrome

BACKGROUND

The prognostic significance of inflammatory markers on the long-term risk of major adverse cardiovascular and cerebrovascular events (MACCE) in older NSTEACS patients remains unclear.

METHODS

NSTEACS patients aged 75 and older were recruited to the multicentre cohort study Improve Cardiovascular Outcomes in High-Risk PatieNts with Acute Coronary Syndrome (ICON1). Inflammatory markers including interleukin-6 (IL-6), myeloperoxidase (MPO), high-sensitivity C-reactive protein (hsCRP), fibrinogen and tumor necrosis factor-alpha (TNF-α) were collected at baseline. Primary outcome was MACCE consisting of all-cause mortality, reinfarction, stroke/transient ischaemic attack, urgent revascularization, and significant bleeding at 5-year follow-up.

RESULTS

There were 230 patients with baseline IL-6 (median age 80.9 [interquartile range (IQR):78.2-83.9] years). High IL-6 was not associated with MACCE, but it was independently associated with all-cause mortality (adjusted hazard ratio [aHR]: 2.26 [95% Confidence Interval (CI):1.34-3.82]; P = 0.002). For patients with hsCRP (n = 260, median age 80.9 [IQR:77.9-84.1] years), higher levels were significantly associated with increased risk of MACCE (aHR:1.77 [95% CI:1.26-2.49], P = 0.001). In the cohort with MPO (230 patients, median age 80.9 [IQR:78.2-83.9] years), lower MPO was independently associated with the risk of MACCE (aHR: 0.67 [95%CI:0.46-0.96]; P = 0.029). There was no prognostic significance with fibrinogen and TNF-α.

CONCLUSION

Among older NSTEACS patients, elevated IL-6 and hsCRP were associated with increased risk of all-cause mortality and MACCE, respectively. Low MPO levels were associated with higher MACCE. Further studies are required to determine how these biomarkers should influence treatment strategy in this understudied subset.

CLINICAL TRIAL REGISTRATION

NCT01933581.

Diagnostic value of fibrinogen in lower extremity deep vein thrombosis caused by rib fracture: A retrospective study

Objectives: To investigate the diagnostic value of fibrinogen (FIB) in patients with rib fractures complicated by lower extremity deep venous thrombosis (DVT).Methods: Analyzing data from 493 patients at Shijiazhuang Third Hospital, FIB levels at 24, 48, and 72 h post-injury were compared between DVT and non-DVT groups.Results: DVT group had elevated FIB levels at all times (p < .001). FIB at 24 h showed highest AUC, particularly in patients with BMI <28.Conclusion: In conclusion, measuring FIB at 24 h post-injury enhances DVT detection in rib fracture patients, with potential BMI-related variations.

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D).

METHODS

We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.

RESULTS

Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort.

CONCLUSIONS

Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

The association between fibrinogen levels and severity of coronary artery disease and long-term prognosis following percutaneous coronary intervention in patients with type 2 diabetes mellitus

Background

Fibrinogen is a potential risk factor for the prognosis of CAD and is associated with the complexity of CAD. There is limited research specifically investigating the predictive role of fibrinogen in determining the severity of CAD among patients with T2DM, as well as its impact on the prognosis following PCI.

Methods

The study included 675 T2DM patients who underwent PCI at the Third People's Hospital of Chengdu between April 27, 2018, and February 5, 2021, with 540 of them remaining after exclusions. The complexity of CAD was assessed using the SYNTAX score. The primary endpoint of the study was the incidence of MACCEs.

Results

After adjusting for multiple confounding factors, fibrinogen remained a significant independent risk factor for mid/high SYNTAX scores (SYNTAX score > 22, OR 1.184, 95% CI 1.022-1.373, P = 0.025). Additionally, a dose-response relationship between fibrinogen and the risk of complicated CAD was observed (SYNTAX score > 22; nonlinear P = 0.0043). The area under the receiver operating characteristic curve(AUROC) of fibrinogen for predicting mid/high SYNTAX score was 0.610 (95% CI 0.567-0.651, P = 0.0002). The high fibrinogen group (fibrinogen > 3.79 g/L) had a higher incidence of calcified lesions and an elevated trend of more multivessel disease and chronic total occlusion. A total of 116 patients (21.5%) experienced MACCEs during the median follow-up time of 18.5 months. After adjustment, multivariate Cox regression analysis confirmed that fibrinogen (HR, 1.138; 95% CI 1.010-1.284, P = 0.034) remained a significant independent risk factor for MACCEs. The AUROC of fibrinogen for predicting MACCEs was 0.609 (95% CI 0.566-0.650, P = 0.0002). Individuals with high fibrinogen levels (fibrinogen > 4.28 g/L) had a higher incidence of acute myocardial infarction (P < 0.001), MACCEs (P < 0.001), all-cause death (P < 0.001), stroke (P = 0.030), and cardiac death (P = 0.002). Kaplan-Meier analysis revealed a higher incidence of MACCEs in the high fibrinogen group (Log-Rank test: P < 0.001).

Conclusions

Elevated fibrinogen levels were associated with increased coronary anatomical complexity (as quantified by the SYNTAX score) and a higher incidence of MACCEs after PCI in patients with T2DM.

Fibrinogen is Associated with Clinical Adverse Events in Patients with Psoriasis and Coronary Artery Disease

Purpose

The presence of elevated fibrinogen levels is associated with cardiovascular disease. However, whether fibrinogen level is associated with adverse clinical events in patients with psoriasis and coronary artery disease (CAD) is unknown. This study aimed to investigate the relationship between fibrinogen levels and cardiovascular adverse events in these patients.

Patients and Methods

This retrospective cohort study collected consecutive patients with psoriasis and CAD between January 2017 and May 2022 in our hospital. The clinical records were collected, and comparisons were made between groups. The Cox regression analysis and Kaplan-Meier survival analysis were used to evaluate the association between variables.

Results

Of the 267 participants, one hundred and forty-seven patients (55.1%) had elevated fibrinogen levels. Compared with patients in low fibrinogen group, white blood cell and platelet counts and high-sensitivity C-reactive protein levels were higher, whereas the left ventricular ejection fraction was lower in patients in high fibrinogen group. After a median follow-up of 35.5 months, the incidence of major adverse cardiovascular events (MACEs) was higher in patients in high fibrinogen group compared with patients in low fibrinogen group (31.4% vs 16.4%, p = 0.013). The Kaplan-Meier survival curves showed the same trend (log rank p = 0.020). Subgroup analysis revealed a positive association between elevated fibrinogen levels and MACEs in patients aged <60 years (log-rank p = 0.013), those with diabetes (log-rank p = 0.027), and those who were not admitted for acute cardiovascular syndrome (log-rank p = 0.015).

Conclusion

Elevated fibrinogen levels were associated with adverse clinical events in patients with psoriasis and CAD, especially among patients aged <60 years, those with diabetes, and those not admitted for acute cardiovascular syndrome.

Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis

Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Associations of Nutritional, Environmental, and Metabolic Biomarkers with Diabetes-Related Mortality in U.S. Adults: The Third National Health and Nutrition Examination Surveys between 1988-1994 and 2016

Background: Nutritional, environmental, and metabolic status may play a role in affecting the progression and prognosis of type 2 diabetes. However, results in identifying prognostic biomarkers among diabetic patients have been inconsistent and inconclusive. We aimed to evaluate the associations of nutritional, environmental, and metabolic status with disease progression and prognosis among diabetic patients. Methods: In a nationally representative sample in the NHANES III (The Third National Health and Nutrition Examination Survey, 1988−1994), we analyzed available data on 44 biomarkers among 2113 diabetic patients aged 20 to 90 years (mean age: 58.2 years) with mortality data followed up through 2016. A panel of 44 biomarkers from blood and urine specimens available from NHANES III were included in this study and the main outcomes as well as the measures are mortalities from all-causes. We performed weighted logistic regression analyses after controlling potential confounders. To assess incremental prognostic values of promising biomarkers beyond traditional risk factors, we compared c-statistics of the adjusted models with and without biomarkers, separately. Results: In total, 1387 (65.2%) deaths were documented between 1988 and 2016. We observed an increased risk of all-cause mortality associated with higher levels of serum C-reactive protein (p for trend = 0.0004), thyroid stimulating hormone (p for trend = 0.04), lactate dehydrogenase (p for trend = 0.02), gamma glutamyl transferase (p for trend = 0.02), and plasma fibrinogen (p for trend = 0.03), and urine albumin (p for trend < 0.0001). In contrast, higher levels of serum sodium (p for trend = 0.005), alpha carotene (p for trend = 0.006), and albumin (p for trend = 0.005) were associated with a decreased risk of all-cause mortality. In addition, these significant associations were not modified by age, sex, or race. Inclusion of thyroid stimulating hormone (p = 0.03), fibrinogen (p = 0.01), and urine albumin (p < 0.0001), separately, modestly improved the discriminatory ability for predicting all-cause mortality among diabetic patients. Conclusions: Our nationwide study findings provide strong evidence that some nutritional, environmental, and metabolic biomarkers were significant predictors of all-cause mortality among diabetic patients and may have potential clinical value for improving stratification of mortality risk.

Fibrinogen and Atherosclerotic Cardiovascular Diseases-Review of the Literature and Clinical Studies

Atherosclerotic cardiovascular diseases (ASCVD), including coronary artery disease, cerebrovascular disease, and peripheral arterial disease, represent a significant cause of premature death worldwide. Biomarkers, the evaluation of which would allow the detection of ASCVD at the earliest stage of development, are intensively sought. Moreover, from a clinical point of view, a valuable biomarker should also enable the assessment of the patient’s prognosis. It has been known for many years that the concentration of fibrinogen in plasma increases, inter alia, in patients with ASCVD. On the one hand, an increased plasma fibrinogen concentration may be the cause of the development of atherosclerotic lesions (increased risk of atherothrombosis); on the other hand, it may be a biomarker of ASCVD, as it is an acute phase protein. In addition, a number of genetic polymorphisms and post-translational modifications of fibrinogen were demonstrated that may contribute to the risk of ASCVD. This review summarizes the current data on the importance of fibrinogen as a biomarker of ASCVD, and also presents the relationship between molecular modifications of this protein in the context of ASCVD.

Comparison of prognostic significance between serum fibrinogen and Global Registry of Acute Coronary Events score for prognosis of patients with non-ST-elevation acute coronary syndromes undergoing percutaneous coronary intervention

OBJECTIVE

An elevated fibrinogen level has been demonstrated to be a predictor of adverse coronary heart disease outcome. This study aimed to assess whether fibrinogen is a useful marker to predict the prognosis of patients with non-ST-elevation acute coronary syndromes (NSTE-ACS) undergoing percutaneous coronary intervention (PCI). Additionally, the prognostic accuracy of fibrinogen level was compared with that of the Global Registry of Acute Coronary Events (GRACE) score.

METHODS

A total of 1211 patients with NSTE-ACS undergoing PCI were analyzed in a prospective cohort study. The enrolled patients were divided into a low fibrinogen group (n = 826, fibrinogen ≤ 3.49 mg/dl) and a high fibrinogen group (n = 385, fibrinogen > 3.49 mg/dl) based on a receiver operating characteristic (ROC) curve. The clinical endpoints were death and death/nonfatal reinfarction. An ROC curve analysis was performed and the area under the curve with a 95% confidence interval (CI) was derived and compared with those for the GRACE score to determine the diagnostic value of the serum fibrinogen level.

RESULTS

Multivariate analysis showed that an elevated baseline fibrinogen level was an independent predictor of death/nonfatal reinfarction (hazard ratio = 1.498, 95% CI: 1.030-2.181, P = 0.035). The prognostic performance of fibrinogen was equivalent to that of the GRACE system in predicting clinical endpoints (C-statistic: z = 1.486, P = 0.14).

CONCLUSION

Fibrinogen is an independent predictor of death/nonfatal reinfarction in patients with NSTE-ACS undergoing PCI, and its accuracy is similar to that of the GRACE system.

D-Dimer to Fibrinogen Ratio as a Novel Prognostic Marker in Patients After Undergoing Percutaneous Coronary Intervention: A Retrospective Cohort Study

The role of activation of the coagulation and fibrinolysis system in the pathogenesis and prognosis of cardiovascular diseases (CVDs) has drawn wide attention. Recently, the D-dimer to fibrinogen ratio (DFR) is considered as a useful biomarker for the diagnosis and prognosis of ischemic stroke and pulmonary embolism. However, few studies have explored the relationship between DFR and cardiovascular disease. In our study, patients were divided into 2 groups according to DFR value: the lower group (DFR < 0.52, n = 2123) and the higher group (DFR ≥ 0.52, n = 1073). The primary outcome was all-cause mortality (ACM) and cardiac mortality (CM). The average follow-up time was 37.59 ± 22.24 months. We found that there were significant differences between the 2 groups in term of ACM (2.4% vs 6.6%, P < 0.001) and CM (1.5% vs 4.0%, P < 0.001). Kaplan-Meier analyses showed that elevated DFR had higher incidences of ACM (log rank P < 0.001) and CM (log rank P < 0.001). Multivariate Cox regression analyses showed that DFR was an independent predictor of ACM (HR = 1.743, 95%CI: 1.187-2.559 P = 0.005) and CM (HR = 1.695, 95%CI: 1.033-2.781 P = 0.037). This study indicates that DFR is an independent and novel predictor of long-term ACM and CM in post-PCI patients with CAD.

Fibrinogen Level Predicts Outcomes in Critically Ill Patients with Acute Exacerbation of Chronic Heart Failure

Background

Heart failure (HF) is a common cardiovascular disease, which is related to systemic inflammation for decades. Fibrinogen (FIB) is a sign of thrombosis and inflammation, which is associated with the prognosis of many diseases. Nevertheless, the role of fibrinogen level in the prognosis of critically ill patients with acute exacerbation of chronic heart failure is unclear.

Methods

The data are from the Medical Information Mart for Intensive Care III (MIMIC III) database, which is a freely accessible critical care database. The primary outcome in our study was 90-day mortality. The prognostic value of fibrinogen was analyzed with receiver operating characteristic (ROC) curve analysis, Kaplan-Meier curve, and Cox model.

Results

A total of 554 patients were included. Patients were divided into two groups, low fibrinogen level (<284 mg/dl) and high fibrinogen level (≥284 mg/dl), through the cut-off value of the ROC curve. The area under the ROC curve of fibrinogen for predicting 90-day mortality was 0.65 (95% CI: 0.59-0.70). In the unadjusted Cox model, compared with the low fibrinogen level (<284 mg/dl), the 90-day mortality of the hazard ratio (HR) with 95% confidence intervals (CI) of the high fibrinogen level is 3.33 (95% CI 2.15-5.15). In different multivariable Cox models, compared with the low fibrinogen level (<284 mg/dl), the 90-day mortality of the hazard ratio of the high fibrinogen level is from 2.83 to 3.13. In subgroup analyses, significant interactions were observed only in age, chronic kidney disease (CKD), and APS III scores.

Conclusion

Our data suggest that high fibrinogen levels (≥284 mg/dl) independently predict mortality in critically ill patients with acute exacerbation of chronic heart failure. Our findings need to be further validated by large prospective studies and longer follow-up time.

Biomarker association with cardiovascular disease and mortality - The role of fibrinogen. A report from the NHANES study

BACKGROUND

While fibrinogen is a known cardiovascular disease (CVD) risk marker, its quantitative input to mortality risk is a topic of debate.

METHODS

We investigated the contribution of fibrinogen, among that of other biomarkers, to prevalent CVD and incident CVD mortality in 4487 participants of the US National Health and Nutrition Examination Survey (NHANES). Participants were observed for a median period of 14 years, resulting in more than 58,000 person-years.

RESULTS

At baseline 551 participants had CVD and during follow up, 1339 all-cause deaths occurred, 321 (24%) of which were due to CVD. Hierarchical cluster analysis and principal component analysis (PCA) were performed to derive clusters of association between biomarkers. Next, structural equation modelling was performed to investigate the association of these clusters with baseline CVD and all-cause and CVD mortality during follow-up. Mediation analysis was used to determine which biomarkers played a mediatory role between prevalent CVD and future mortality. Fibrinogen clustered with C-reactive protein only and was associated with CVD at baseline (p < 0.0001) and with all-cause (p < 0.001) and CVD (p < 0.001) mortality at follow-up. Only fibrinogen (4.7%), followed by gamma-glutamyl transferase (GGT) (3.5%) and uric acid (2.3%) were identified as possible mediators between CVD status and all-cause mortality, with fibrinogen (3.2%) and GGT (3.1%) the only mediators between CVD status and CVD mortality.

CONCLUSION

This data shows that fibrinogen is not only cross-sectionally associated with CVD, but also contributes to all-cause and CVD mortality at follow-up. It furthermore appears to mediate the association between prevalent CVD and both all-cause and CVD mortality.

Fibrinogen Levels and the Risk of Cerebrovascular Events in Older Adults With Both Depressive Symptoms and Cognitive Impairment: A Prospective Study

Depression and cognitive impairment have been identified as risk factors for cerebrovascular events (CVE), and one of their potential etiological pathways is inflammatory status. This prospective study aims to investigate the association between inflammatory markers and the risk of CVE in a population of 2659 older adults, enrolled in the Progetto Veneto Anziani (Pro.V.A.), with depressive symptoms, cognitive impairment, or both conditions. For each individual, we assessed at baseline the presence of depressive symptoms (defined as a Geriatric Depression Scale ≥11), cognitive impairment (defined as a Mini-Mental State Examination <24), and serum levels of fibrinogen, white blood cells (WBC), and erythrocyte sedimentation rate (ESR). During a 4.4-year follow-up, 188 (7.1%) participants had CVE. Among the inflammatory markers, high fibrinogen values were associated with a 50% higher risk of CVE in the whole sample, and with a 4-fold higher risk in individuals with both depressive symptoms and cognitive impairment (hazard ratio = 4.04, 95% confidence interval: 1.45-11.23). Elevated WBC were associated with a 5% higher risk of CVE in the whole sample and in those with both conditions. No significant association was observed with the ESR. In conclusion, our study found that high fibrinogen levels may predict the risk of CVE in older people with concomitant depressive symptoms and cognitive impairment. Therefore, fibrinogen could be considered as an easily accessible aging biomarker, which might estimate the chronic inflammatory status and its potential detrimental effects on the most vulnerable older adults.

Fibrinogen is associated with glucose metabolism and cardiovascular outcomes in patients with coronary artery disease

Background

The present cohort study aims to examine the relationship between fibrinogen (Fib) levels and glucose metabolism [fasting blood glucose (FBG) and hemoglobin A1c (HbA1c)] and investigate the impact of high Fib on cardiovascular outcomes in patients with stable CAD and pre-diabetes mellitus (pre-DM) or diabetes mellitus (DM).

Methods

This study included 5237 patients from March 2011 to December 2015. Patients were distributed into three groups according to Fib levels (low Fib, median Fib, high Fib) and further categorized by glucose metabolism status [normal glucose regulation (NGR), Pre-DM, DM]. All patients were followed up for the occurrences of major adverse cardiovascular events (MACEs), including cardiovascular mortality, nonfatal MI, stroke, and unplanned coronary revascularization.

Results

Linear regression analyses showed that FBG and HbA1c levels were positively associated with Fib in overall CAD participants, either with or without DM (all P < 0.001). During an average of 18,820 patient-years of follow-up, 476 MACEs occurred. High Fib was independently associated with MACEs after adjusting for confounding factors [Hazard Ratio (HR): 1.57, 95% confidence interval (CI) 1.26–1.97, P < 0.001]. Furthermore, DM but not pre-DM was a significant predictor of MACEs (P < 0.001 and P > 0.05, respectively). When patients were stratified by both glucose metabolism status and Fib levels, high Fib was associated with a higher risk of MACEs in pre-DM (HR 1.66, 95% CI 1.02–2.71, P < 0.05). Medium and high Fib levels were associated with an even higher risk of MACEs in DM (HR 1.86, 95% CI 1.14–3.05 and HR 2.28, 95% CI 1.42–3.66, all P < 0.05). After adding the combination of Fib and glucose status to the Cox model, the C-statistic was increased by 0.015 (0.001–0.026).

Conclusions

The present study suggested that Fib levels were associated with FBG and HbA1c in stable CAD patients. Moreover, elevated Fib was independently associated with MACEs in CAD patients, especially among those with pre-DM and DM, suggesting that Fib may provide incremental value in the cardiovascular risk stratification of pre-DM and DM patients.

Platelets as Potent Signaling Entities in Type 2 Diabetes Mellitus

Type 2 diabetes mellitus (T2DM) is a multifactorial disease with a dysregulated circulating inflammatory molecule tendency. T2DM is closely associated with systemic inflammation, endothelial dysfunction, cardiovascular risk, and increased clotting susceptibility. Platelets have fundamental roles in the development and propagation of inflammation and cardiovascular risk. They signal through membrane receptors, resulting in (hyper)activation and release of inflammatory molecules from platelet compartments. This review highlights how circulating inflammatory molecules, acting as platelet receptor ligands, interact with platelets, causing platelets to be potent drivers of systemic inflammation. We conclude by suggesting that focused platelet research in T2DM is an important avenue to pursue to identify novel therapeutic targets, and that platelets could be used as cellular activity sensors themselves.

Relationship between fibrinogen levels and cardiovascular events in patients receiving percutaneous coronary intervention: a large single-center study

Background:

It is currently unclear if fibrinogen is a risk factor for adverse events in patients receiving percutaneous coronary intervention (PCI) or merely serves as a marker of pre-existing comorbidities and other causal factors. We therefore investigated the association between fibrinogen levels and 2-year all-cause mortality, and compared the additional predictive value of adding fibrinogen to a basic model including traditional risk factors in patients receiving contemporary PCI.

Methods:

A total of 6293 patients undergoing PCI with measured baseline fibrinogen levels were enrolled from January to December 2013 in Fuwai Hospital. Patients were divided into three groups according to tertiles of baseline fibrinogen levels: low fibrinogen, <2.98 g/L; medium fibrinogen, 2.98 to 3.58 g/L; and high fibrinogen, ≥3.58 g/L. Independent predictors of 2-year clinical outcomes were determined by multivariate Cox proportional hazards regression modeling. The increased discriminative value of fibrinogen for predicting all-cause mortality was assessed using the C-statistic and integrated discrimination improvement (IDI).

Results:

The 2-year all-cause mortality rate was 1.2%. It was significantly higher in the high fibrinogen compared with the low and medium fibrinogen groups according to Kaplan-Meier analyses (1.7% vs. 0.9% and 1.7% vs. 1.0%, respectively; log-rank, P = 0.022). Fibrinogen was significantly associated with all-cause mortality according to multivariate Cox regression (hazard ratio 1.339, 95% confidence interval: 1.109–1.763, P = 0.005), together with traditional risk factors including age, sex, diabetes mellitus, left ventricular ejection fraction, creatinine clearance, and low-density lipoprotein cholesterol. The area under the curve for all-cause mortality in the basic model including traditional risk factors was 0.776, and this value increased to 0.787 when fibrinogen was added to the model (IDI = 0.003, Z = 0.140, P = 0.889).

Conclusions:

Fibrinogen is associated with 2-year all-cause mortality in patients receiving PCI, but provides no additional information over a model including traditional risk factors.

Baseline plasma fibrinogen is associated with haemoglobin A1c and 2-year major adverse cardiovascular events following percutaneous coronary intervention in patients with acute coronary syndrome: a single-centre, prospective cohort study

BACKGROUND

Despite revascularisation, a large proportion of acute coronary syndrome (ACS) patients continue to experience major adverse cardiovascular events (MACEs), which are worsened by diabetes mellitus (DM). Fibrinogen (FIB) is a risk factor for MACEs in coronary artery disease and often elevated in DM. However, the relationships between FIB, glucose metabolism (haemoglobin A1c [HbA1c] and fasting blood glucose [FBG]) and MACEs following percutaneous coronary intervention (PCI) in DM, non-DM or whole patients with ACS remains unknown.

METHODS

A total of 411 ACS patients undergoing PCI were enrolled in this study. We compared baseline FIB levels between DM (n = 103) and non-DM (n = 308) patients and divided participants into three groups according to FIB level, i.e. FIB-L, FIB-M and FIB-H, to compare baseline characteristics and MACEs. Linear regression analysis of the relationship between glucose metabolism and FIB, Cox regression, survival and landmark analyses of MACEs were also performed over a median of 27.55 months of follow-up.

RESULTS

Patients with DM had higher FIB levels than non-DM patients (3.56 ± 0.99 mg/dL vs. 3.34 ± 0.80 mg/dL, P < 0.05). HbA1c and FBG were significantly positively correlated with FIB in whole and DM patients but not in non-DM patients (all P < 0.05). Compared with the FIB-L group, the FIB-M (hazard ratio [HR] 1.797, 95% CI 1.117-2.892, P = 0.016) and FIB-H (HR 1.664, 95% CI 1.002-2.763, P = 0.049) groups were associated with higher MACEs in whole; the FIB-M (HR 7.783, 95% CI 1.012-59.854, P = 0.049) was associated with higher MACEs in DM patients. FIB was not associated with MACEs in non-DM patients. During landmark analysis, FIB showed better predictive value for MACEs after PCI in the first 30 months of follow up than in the subsequent period.

CONCLUSION

In this study from China, FIB was positively associated with glucose metabolism (HbA1c and FBG) in whole and DM populations with ACS. Moreover, elevated baseline FIB levels may be an important and independent predictor of MACEs following PCI, especially amongst those with DM. However, as the follow-up period increased, the baseline FIB levels lost their ability to predict MACEs.

Increased resistance to tissue plasminogen activator-induced fibrinolysis in healthy subjects from Thailand

: There is significant variability in blood coagulation among world populations. In particular, there may exist important differences in regulation of the fibrinolytic system in Asian populations that contribute to diseases of thrombosis and hemostasis. To investigate this issue, we compared fibrinogen concentration, plasma clot formation, and fibrinolytic resistance of healthy Asian subjects from Hat Yai, Songkhla, Thailand (Thai) vs. healthy North American subjects from Seattle, Washington, USA (SEA). Citrated plasma samples were obtained from healthy adult volunteers. Fibrinogen concentration was measured in plasma by the method of Clauss to examine for baseline differences of fibrinogen concentration. Samples were then standardized to 2.8 mg/ml fibrinogen using physiological buffer for each sample prior to fibrinolytic testing using rotational thromboelastometry (ROTEM) to examine for differences of clot lysis not attributable to fibrinogen concentration alone. Clot lysis was examined with ROTEM extrinsic pathway activation in the presence of 0, 0.5, and 1.0 μg/ml of tissue plasminogen activator (tPA). Two-way repeated measures analysis of variance was used to determine the effects of tPA and study group on ROTEM parameters. N = 49 Thai samples were compared with N = 58 SEA samples. Mean (SD) fibrinogen concentration was significantly increased for the Thai group at 4.03 (0.79) mg/ml vs. the SEA group at 3.66 (0.70) mg/ml (t test P = 0.014). After standardization of all samples to equivalent fibrinogen concentration, there were no differences in clot formation between groups without tPA. There was a significant effect of increasing tPA concentration on all ROTEM parameters except for clotting time. There were significant individual differences for amplitude at 10 min and lysis onset time, where amplitude at 10 min was significantly increased and lysis onset time was significantly prolonged for Thai vs. SEA at tPA concentrations of 0.5 and 1.0 μg/ml. Variability in thrombosis and hemostasis in Asians vs. other populations is likely to involve differences of fibrinogen concentration and regulation of clot lysis.

Modeling analysis of the relationship between atherosclerosis and related inflammatory factors

Objective: To establish early diagnosis model of inflammatory factors for atherosclerosis (AS), providing theoretical evidence for early detection of AS and development of plaques. Methods: Serum samples were collected to detect the inflammatory factors including CysC, Hcy, hs-CRP, UA, FIB, D-D, LP (a), IL-6, SAA, sCD40L and MDA. Using Logistic regression analysis, the inflammatory factors used for modeling were screened out, and then the AS early diagnosis models were established based on receiver operating characteristic (ROC) curve, support vector machine and BP neural network respectively. Results: No significant difference exists between the general materials of two groups. All 11 inflammatory factors had higher level in AS group than in control group. As shown in ROC curve, all inflammatory factors were helpful in AS diagnosis. In terms of sensitivity, UA ranked first (98) and FIB ranked last (55.5); in terms of specificity, UA ranked first (99) and FIB ranked last (78); in terms of area under the curve, UA and SAA ranked first (both were 0.995) and FIB ranked last (0.721). Based on Logistic regression equation, six factors were screened out, including Hcy, Hs-CRP, IL-6, D-D, CysC and MDA. According to classification, the final sixth steps had a prediction accuracy of 99%. When six inflammatory factors included in Logistic regression equation were detected jointly, the sensitivity, specificity and area under the curve were 57%, 97% and 0.821 respectively, while those of the model excluding D-D were 64%, 90% and 0.828, generally superior to results of joint detection including six factors. The ROC curve based on Hcy, Hs-CRP and MDA had a sensitivity of 87%, a specificity of 94% and an area under the curve of 0.869, being inferior to those of the ROC curve based on IL-6, D-D and Cys C, which were 87%, 92% and 0.936 respectively. The accuracy of SVM-AS diagnosis model and BP neural network model were 82.5% and 77.5% respectively. Conclusion: All 11 inflammatory factors are valuable in AS diagnosis. AS early diagnosis models based on Logistic regression analysis, ROC curve, support vector machine and BP neural network possess diagnostic value and can provide reference for clinical diagnosis.