The Glasgow prognostic score as a significant predictor of clinical outcomes in patients with acute coronary syndrome

Prognostic value of Glasgow Prognostic Score and its modified scores on 5-year outcome in patients with coronary heart disease undergoing percutaneous coronary intervention

Background

Glasgow Prognostic Score (GPS) and its modified counterparts, including the modified GPS (mGPS) and hsCRP-modified GPS (hs-mGPS), are widely used inflammatory indices in clinical settings. Inflammation has gained increased attention in the context of coronary heart disease (CHD); however, its long-term predictive value in patients with CHD remains uncertain.

Objective

This study aimed to assess the predictive values of GPS, mGPS, and hs-mGPS for long-term survival in patients following percutaneous coronary intervention (PCI).

Methods

Consecutive 10,724 PCI patients were enrolled in 2013. The primary endpoint was 5-year all-cause death.

Results

This study included 8,909 patients. Individuals with high GPS, mGPS, and hs-mGPS scores exhibited a significantly higher risk of all-cause death compared to those with low scores (all P < 0.05). All three indices (GPS, mGPS, and hs-mGPS) demonstrated predictive values for all-cause death, albeit with relatively low area under the curve values of 0.534, 0.522, and 0.545, respectively. Furthermore, we refined the hs-mGPS using cutoffs (hsCRP at 2 mg/L and albumin at 40 g/L) which are better suited for these patients, to establish the CHD-hs-mGPS. This modification significantly improved the prediction of all-cause death, outperformed the mGPS and demonstrated numerical superiority over both the GPS and hs-mGPS. Notably, only CHD-hs-mGPS exhibited a predictive value for both the ACS and non-ACS subgroups.

Conclusion

In patients with CHD who underwent PCI, GPS, mGPS, and hs-mGPS demonstrated significant long-term predictive values for all-cause death. Our parameter-adjusted score, the CHD-hs-mGPS, is applicable to a broad population and moderately enhances the predictive accuracy, facilitating the early identification of patients at high risk of long-term death.

CAR, mGPS and hs-mGPS: What is among them the best gero-biomarker for age-related diseases? And for what clinical application?

The identification of biomarkers linked to the onset, progression, and prevention of age-related diseases (ARD), in the era of personalized medicine, represents the best goal of geroscience. Geroscience has the fundamental role of exploring and identifying the biological mechanisms of aging to suggest interventions capable of stopping/delaying the many pathological conditions and disabilities related to age. Therefore, it has become its key priority, as well as that of clinical practice and research, based on identifying and validating a range of biomarkers, geromarkers, which can be used to diagnostic, prognostic, or predictive clinical purposes. Indeed, geromarkers have, the potential to predict ARD trajectories and facilitate targeted interventions to slow down the related disabilities. Here our attention is paid to the inflammatory indexes (CAR, mGPS, hs-mGPS) linked to the relationship between the plasma levels of two inflammatory analytes, the typical positive protein of the acute phase, and the negative one, i.e. c-reactive protein (CRP) and albumin, respectively. These indexes allow us to understand the magnitude of the two main mechanisms predicted to influence the aging process, including inflammation and immunosenescence, as well as the degree of ARD severity. Evidence on their relationship with ARD is widely reported and discussed, to understand which can represent the best ARD geromarker, and its clinical application.

Validation and Comparison of the Prognosis Predicting Ability of Inflammation-Based Scores Following Endovascular Treatment for Peripheral Artery Disease

We assessed the prognostic ability of several inflammation-based scores and compared their long-term outcomes in patients with peripheral artery disease (PAD) following endovascular treatment (EVT). We included 278 patients with PAD who underwent EVT and classified them according to their inflammation-based scores (Glasgow prognostic score [GPS], modified GPS [mGPS], platelet to lymphocyte ratio [PLR], prognostic index [PI], and prognostic nutritional index [PNI]). Major adverse cardiovascular events (MACE) at 5 years were examined, and C-statistics in each measure were calculated to compare their MACE predictive ability. During the follow-up period, 96 patients experienced MACE. Kaplan-Meier analysis showed that higher scores of all measures were associated with a higher MACE incidence. Multivariate Cox proportional hazard analysis showed that GPS 2, mGPS 2, PLR 1, and PNI 1, compared with GPS 0, mGPS 0, PLR 0, and PNI 0, were associated with an increased risk of MACE. C-statistics for MACE for PNI (.683) were greater than those for GPS (.635, P = .021), mGPS (.580, P = .019), PLR (.604, P = .024), and PI (.553, P < .001). PNI is associated with MACE risk and has a better prognosis-predicting ability than other inflammation-scoring models for patients with PAD following EVT.

Using inflammatory indices for assessing malnutrition among COVID-19 patients: A single-center retrospective study

BACKGROUND

Coronavirus disease 2019 (COVID-19) causes malnutrition in infected patients. This study aimed to investigate the use of systemic immune-inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), the Glasgow Prognostic Score (GPS), and neutrophil-to-lymphocyte ratio (NLR) for malnutrition assessment among COVID-19 inpatients.

METHODS

This is a single-center retrospective study on 108 hospitalized COVID-19 patients; 14 were admitted to the intensive care unit (ICU). Data were collected from patients' profiles while NLR, PLR, GPS, and SII were calculated. Inflammatory indices' predictive power was analyzed using the receiver operating characteristic curve (ROC). A P-value of < 0.05 was considered statistically significant.

RESULTS

Hospitalization days, neutrophils count, C-reactive protein (CRP), and serum urea levels were significantly higher in ICU patients. None of SII, PLR, and NLR were significantly different between ICU and non-ICU groups. Also, albumin and GPS showed a higher sensitivity level (100.0), followed by PLR and SII (78.57 and 71.34, respectively). Regarding ROC curves, even though NLR, PLR, and SII provided the largest area under the curve (AUC) (0.687, 0.682, 0.645; respectively), they have shown a poor discrimination ability, while GPS and albumin were ineffective in predicting malnutrition in COVID-19 patients.

CONCLUSION

NLR, SII, and PLR showed poor predicting ability for malnutrition among COVID-19 inpatients. Additional consideration should be taken for using inflammatory parameters (SII, PLR, GPS, and NLR) to predict malnutrition in COVID-19 inpatients.

Early Versus Late Administration of P2Y 12 Inhibitors in Non-ST Segment Elevation Myocardial Infarction and Delayed Cardiac Catheterization

ABSTRACT

Regardless of early invasive or ischemia-guided approaches to non-ST segment elevation myocardial infarction (NSTEMI) management, P2Y 12 inhibitors remain the backbone in therapy. The ideal timing of administration remains unclear. The purpose of this study was to determine the safety and effectiveness of early versus late administration of P2Y 12 inhibitors in patients presenting with an NSTEMI who go to the catheterization laboratory beyond 24 hours from presentation. We performed a single center, retrospective cohort study. Patients were classified into groups depending on whether they received early versus late administration of a P2Y 12 inhibitor. The primary outcome was the rate of major and clinically relevant, nonmajor bleeding (CRNMB). Secondary outcomes included troponin peak and length of stay after cardiac catheterization. Of the 121 patients included, 53 patients were in the early and 68 patients were in the late group. The number of bleeding events were similar between both groups ( P = 1.00). There were 3 (5.7%) major bleeding events in the early group and 5 (7.4%) bleeding events in the late group. There were 5 (9.4%) CRNMB events in the early group and 6 (8.8%) CRNMB events in the late group. There was a significant difference in troponin peak, 4.56 ng/mL in the early group and 1.77 ng/mL in the late group ( P = 0.02). The rate of bleeding did not differ between patients who received early or late administration of P2Y 12 inhibitors for NSTEMI management who undergo delayed cardiac catheterization.

Deferring stent optimization in stent thrombosis: A novel approach for STEMI management-Insights from a case series

Treatment of ST represents a challenge. The presence of large amounts of thrombus combined with stent optimization increase the risk of distal embolization. A two-step strategy of stent implantation and deferred stent optimization might be appropriated. We hereby present three clinical cases of ST successfully treated with a two-step approach.

Immune and Inflammation in Acute Coronary Syndrome: Molecular Mechanisms and Therapeutic Implications

Acute coronary syndrome (ACS) is a major cause of acute death worldwide. Both innate and adaptive immunity regulate atherosclerosis progression, plaque stability, and thrombus formation. Immune and inflammation dysfunction have been indicated in the pathogenesis of ACS. The imbalance in the proatherogenic and antiatherogenic immune networks promotes the transition of plaques from a stable to unstable state and results in the occurrence of acute coronary events. The residual inflammatory risk (RIR) has received increasing attention in recent years, and lowering RIR has been expected to improve the outcomes of ACS patients. The CANTOS, COLCOT, and LoDoCo trials verified the benefits of reducing cardiovascular events using anti-inflammation therapies; however, most of the other studies focusing on lowering RIR produced negative or contradicting results. Therefore, restoring the balance in autoimmune regulation is essential because proatherogenic and antiatherogenic immunomodulatory effects are equally important in the complex human immune network. In this review, we summarized the recent evidence of the roles of proatherogenic and antiatherogenic immune networks in the pathogenesis of ACS and discussed how immune and inflammation contribute to atherosclerosis progression, plaque instability, and adverse cardiovascular events. We also provide a “from bench to bedside” perspective of a novel and promising personalized strategy in RIR intervention and therapeutic approaches for the treatment of ACS.

Prognostic value of pre-treatment Naples prognostic score (NPS) in patients with osteosarcoma

BACKGROUND

This study aimed to evaluate the clinical significance of pre-treatment Naples prognostic score (NPS) in patients with osteosarcoma.

METHODS

The clinical data of 133 osteosarcoma patients between January 2011 and February 2018 in our hospital was retrospectively collected and analyzed. NPS was calculated from four parameters, including serum albumin level, serum total cholesterol (TC), lymphocyte-to-monocyte ratio (LMR), and neutrophil-to-lymphocyte ratio (NLR). Patients were divided into three groups (group 1-3) based on NPS. The relationships between NPS and clinical features, overall survival (OS), and progression-free survival (PFS) were analyzed. Two prediction models based on NPS and clinical parameters were developed: clinical parameters model (model A), and the combined model of NPS and clinical parameters (model B). Their predictive performances were further evaluated and compared.

RESULTS

The median follow-up time of this cohort was 46.0 (range, 5-75) months, while the median OS and PFS was 40 (range, 5-75) months and 36 (range, 5-71) months, respectively. NPS was significantly correlated with gender, tumor location, Enneking stage, pathological fracture, local recurrence, and metastasis (all P < 0.05). Variables of NPS, Enneking stage, local recurrence, metastasis, and NLR were confirmed as independent prognostic factors for OS and PFS by univariate and multivariate Cox analysis. Prediction model B obtained larger AUCs for OS and PFS and showed better consistency between nomogram-predicted and actual survival than that of model A at the follow-up time of 1-, 3-, and 5-year.

CONCLUSIONS

NPS was a novel, reliable, and multidimensional prognostic scoring system with favorable predictive performance for patients with osteosarcoma.