A novel simplified thrombo-inflammatory score portends poor outcome in diabetic patients following myocardial infarction

The Simplified Thrombo-Inflammatory Score as a Novel Predictor of All-Cause Mortality in Patients with Heart Failure: A Retrospective Cohort Study

Background

The simplified thrombo-inflammatory score (sTIPS) has recently emerged as a novel prognostic score. Hence, we investigated the prognostic value of sTIPS for predicting long-term mortality in patients with heart failure (HF).

Methods

A total of 3741 patients were analyzed in this study. The sTIPS was calculated based on the white blood cell count (WBC) and the mean platelet volume to platelet count (MPV/PC) ratio at admission. The mean follow-up time was 22.75 months. Multivariable Cox regression analyses were used to investigate the associations between the sTIPS and all-cause mortality (ACM).

Results

In the whole study population, multivariate Cox regression analysis showed that patients in both the sTIPS 2 and sTIPS 1 groups had significantly increased risk of ACM as compared with patients in the sTIPS 0 group (hazard ratio [HR]=1.706, 95% confidence interval [CI]: 1.405-2.072, P<0.001 and HR = 1.431, 95% CI 1.270-1.612, P<0.001). The same significant trend was observed in heart failure with preserved ejection fraction (HFpEF) patients (sTIPS1 vs sTIPS0: HR = 1.366, 95% CI 1.100-1.697, P = 0.005; sTIPS2 vs sTIPS0: HR = 1.995, 95% CI 1.460-2.725, P<0.001). However, only sTIPS 1 group had a significantly increased the risk of ACM compared to the sTIPS 0 group among patients with HFmrEF (sTIPS1 vs sTIPS0: HR = 1.648, 95% CI 1.238-2.194, P = 0.001) and HFrEF (sTIPS1 vs sTIPS0: HR = 1.322, 95% CI 1.021-1.712, P = 0.035).

Conclusion

sTIPS is useful in predicting risk for long-term mortality in patients with HF.

Inflammatory cell response following ST-elevation myocardial infarction treated with primary percutaneous coronary intervention and its impact on cardiovascular outcomes: A systematic review and meta-analysis

BACKGROUND

Inflammatory responses post STEMI may mediate major adverse cardiovascular events (MACE). This is the first systematic review to map leukocyte response following a STEMI and its association with outcomes.

METHODS

We systematically searched EMBASE and Medline for studies of STEMIs undergoing primary PCI. Eligible studies reported leukocytes or its subtype plus either 30-day and/or 1-year MACE. Random effects model for pooled proportions was used to estimate 30-day and 1-year mortality and MACE. Meta-regression was used to estimate the effect of leukocyte counts on cardiovascular outcomes. Publication bias was assessed using Egger's regression-based test. The review was registered with PROSPERO (CRD42019124991).

RESULTS

Of the 3,813 studies meeting the preliminary search criteria, 24 cohort studies were eligible for inclusion, representing 19,074 persons [76.4% male (n = 14,539); mean age 61.6 years]. Leukocytes had a mean of 10.5x10⁹ (SD 4.7) on admission and 11.1x10⁹ (SD 3.3) at day one post STEMI. Neutrophils increased day one post STEMI, while lymphocytes decreased. There was limited data on other leukocyte subtypes and beyond day one. Estimated 30-day and 1-year all-cause mortality were 6.5% (95% CI 4.8-8.2, p <0.001) and 9.7% (95% CI 5.6-13.8, p <0.001), while the estimated 30-day and 1-year MACE were 14.9% (95% CI 5.3-24.4, p < 0.001) and 15.2% (95% CI 7.2-23.2, p < 0.001). The meta-analysis was limited by a high degree of heterogeneity between studies.

CONCLUSIONS

This review highlights the urgent need to better characterise inflammation post STEMI to identify mediators for the persistently high mortality and morbidity associated with STEMI.

Platelet-Neutrophil Interaction and Thromboinflammation in Diabetes: Considerations for Novel Therapeutic Approaches

Thromboinflammation has become a topic of key interest in cardiovascular disease and the prevention of diabetes complications because of the interplay between thrombosis and inflammation in diabetes. Specifically, the significant risk of vascular thrombotic disease in diabetes highlights the need for new and better therapeutic targets to help manage and prevent vascular thrombo-occlusive disease in this condition. Similarly, the prominent role of inflammation in diabetes has sparked interest in anti-inflammatory agents to better prevent and control vascular disease. Investigations on the effects of anticoagulation and antiplatelet interventions in patients with diabetes and cardiovascular disease show a potential role for these agents in decreasing morbidity and mortality. Neutrophils and platelets are key players in inflammation and wound-healing response, respectively. The interaction between neutrophils and platelets is thought to be an important driver of thromboinflammation. Therefore, this review describes the mechanisms involved in platelet-neutrophil interactions that contribute to the development or exacerbation of thromboinflammation in the context of diabetes and its associated comorbidities. The effects observed by the antithrombotic/antidiabetic treatments and physical activity/dietary interventions on attenuating thromboinflammation are discussed. These data suggest that mechanisms involved in platelet-neutrophil interaction, platelet activation/aggregation, and the recruitment of neutrophils have a promising potential to become therapeutic targets to decrease thromboinflammation in patients with diabetes.

Thrombo-Inflammatory Prognostic Scores Improve BISAP-Based Risk Stratification in Acute Pancreatitis Patients: A Retrospective Cohort Study

Purpose

The thrombo-inflammatory prognostic score (TIPS) and the bedside index for severity in acute pancreatitis (BISAP) are both scoring systems that enable the rapid prognostic assessment of early-stage acute pancreatitis (AP) patients, but the overall prognostic utility of these individual systems is limited. This study was thus developed to explore whether a combination of TIPS and BISAP scores would offer better insight to facilitate the risk stratification of AP patients.

Methods

This single-center retrospective cohort research evaluated AP cases referred to the emergency department from January 1, 2017 to September 30, 2017. The ability of TIPS scores to improve BISAP-based AP patient risk stratification was appraised employing the curves of receiver-operating characteristic (ROC) and decision curve analysis (DCA) approaches. The initial endpoint for this research was 28-day mortality, while secondary endpoints comprised intensive care unit admission (AICU) and mechanical ventilation (MV) over a 28-day follow-up period.

Results

Totally, 440 cases enrolled in the current study were divided at a ratio of 1:1 to derivation and validation cohorts. When estimating 28-day mortality, the combination of TIPS and BISAP (T-BISAP) improved the area under the curve (AUC) value in the derivation group from 0.809 to 0.903 (P < 0.05), in addition to similarly improving this AUC value from 0.709 to 0.853 (P < 0.05) in the validation cohort. Moreover, T-BISAP significantly improved the AUC values for 28-day AICU from 0.751 to 0.824 (P < 0.05) and the AUC values for 28-day MV from 0.755 to 0.808 (P < 0.05). A DCA approach revealed T-BISAP to exhibit higher net benefit when used for patient risk stratification as compared to BISAP alone.

Conclusion

The addition of TIPS scores to BISAP scores can enable prediction of 28-day adverse clinical outcomes with AP patients in the ED.