Vascular Inflammation in Cardiovascular Disease: Is Immune System Protective or Bystander?

The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

The aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte*platelet ratio (NLRP) are novel indices that simultaneously reflect the inflammatory and immune status. However, the role of these indices in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) remains unclear. We aimed to elucidate the predictive value of AISI, SIRI, and NLRP in patients with ACS undergoing PCI. A total of 1558 patients with ACS undergoing PCI were consecutively enrolled from January 2016 to December 2018. The AISI, SIRI, NLRP, systemic immune-inflammatory index, derived neutrophil-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio cutoff values for predicting major adverse cardiovascular events (MACE) were calculated using receiver-operating characteristic curves, and Spearman's test was used to analyze correlations between these indices. Kaplan-Meier curves and Cox regression models were used for survival analyses, and the endpoint was a MACE, which included all-cause mortality and rehospitalization for severe heart failure during the follow-up period. The Kaplan-Meier curves showed that higher AISI, SIRI, and NLRP values were associated with a higher risk of MACE (all P < .001). The association between AISI, SIRI, and NLRP and ACS prognosis was stable in various subgroups according to sex, age, smoking, dyslipidemia, hypertension, diabetes mellitus, history of stroke, and heart failure (P for interaction > .05). Increasing tertiles of AISI, SIRI, and NLRP significantly increased the MACE risk (P for trend < .05). AISI, SIRI, and NLRP may be suitable laboratory markers for identifying high-risk patients with ACS after PCI.

Association between Short-Term Exposure to Ozone and Heart Rate Variability: A Systematic Review and Meta-Analysis

At present, ambient air pollution poses a significant threat to patients with cardiovascular disease (CVD). The heart rate variability (HRV) is a marker of the cardiac autonomic nervous system, and it is related to air pollution and cardiovascular disease. There is, however, considerable disagreement in the literature regarding the association between ozone (O₃) and HRV. To further investigate the effects of short-term exposure to O₃ on HRV, we conducted the first meta-analysis of relevant studies. The percentage change of HRV indicator(s) is the effect estimate extracted for the quantitative analysis in this study. In our meta-analysis, per 10 ppb increase in O₃ was significantly associated with decreases in the time-domain measurements, for standard deviation of the normal-to-normal (NN) interval (SDNN) -1.11% (95%CI: -1.35%, -0.87%) and for root mean square of successive differences (RMSSD) -3.26% (95%CI: -5.42%, -1.09%); in the frequency-domain measurements, for high frequency (HF) -3.01% (95%CI: -4.66%, -1.35%) and for low frequency (LF) -2.14% (95%CI: -3.83%, -0.45%). This study showed short-term exposure to O₃ was associated with reduced HRV indicators in adults, which suggested that the cardiac autonomic nervous system might be affected after O₃ exposure, contributing to the association between O₃ exposure and CVD risk.

Association between ambient air pollution and hospital admissions, length of hospital stay and hospital cost for patients with cardiovascular diseases and comorbid diabetes mellitus: Base on 1,969,755 cases in Beijing, China, 2014-2019

BACKGROUND

Evidence on the effects of the air pollutants on the hospital admissions, hospital cost and length of stay (LOS) among patients with comorbidities remains limited in China, particularly for patients with cardiovascular diseases and comorbid diabetes mellitus (CVD-DM).

METHODS

We collected daily data on CVD-DM patients from 242 hospitals in Beijing between 2014 and 2019. Generalized additive model was employed to quantify the associations between admissions, LOS, and hospital cost for CVD-DM patients and air pollutants. We further evaluated the attributable risk posed by air pollutants to CVD-DM patients, using both Chinese and WHO air quality guidelines as reference.

RESULTS

Per 10 ug/m³ increase of particles with an aerodynamic diameter < 2.5 μm (PM_2.5), particles with an aerodynamic diameter < 10 μm (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbonic oxide (CO) and ozone (O₃) corresponded to a 0.64% (95% CI: 0.57 to 0.71), 0.52% (95% CI: 0.46 to 0.57), 0.93% (95% CI: 0.67 to 1.20), 0.98% (95% CI: 0.81 to 1.16), 1.66% (95% CI: 1.18 to 2.14) and 0.53% (95% CI: 0.45 to 0.61) increment for CVD-DM patients' admissions. Among the six pollutants, particulate pollutants (PM_2.5 and PM₁₀) in most lag days exhibited adverse effects on LOS and hospital cost. For every 10 ug/m³ increase in PM_2.5 and PM₁₀, the absolute increase with LOS will increase 62.08 days (95% CI: 28.93 to 95.23) and 51.77 days (95% CI:22.88 to 80.66), respectively. The absolute increase with hospital cost will increase 105.04 Chinese Yuan (CNY) (95% CI: 49.27 to 160.81) and 81.76 CNY (95% CI: 42.01 to 121.51) in PM_2.5 and PM₁₀, respectively. Given WHO 2021 air quality guideline as the reference, PM_2.5 had the maximum attributable fraction of 3.34% (95% CI: 2.94% to 3.75%), corresponding to an avoidable of 65,845 (95% CI: 57,953 to 73,812) patients with CVD-DM.

CONCLUSION

PM_2.5 and PM₁₀ are positively associated with hospital admissions, hospital cost and LOS for patients with CVD-DM. Policy changes to reduce air pollutants exposure may reduce CVD-DM admissions and substantial savings in health care spending and LOS.

Therapeutic Effect of Platinum Nanoparticles on Atherosclerosis Research Model Based on Microfluidics and Determination of Injury

The atherosclerosis (AS) microenvironment plays an important role in pathogenicity, including blood flow and blood pressure, high cholesterol, high blood sugar, angiotensin II, tumor necrosis factor, and the like. The AS microfluidic model was established, and the fluid shear stress and cyclic stretching were set to 5.07 Pa and 1.17 Hz to simulate normal blood flow, respectively. The effects of different biochemical environments on endothelial cells (ECs) and cardiomyocytes were analyzed. The results confirmed that different biochemical environments had significant damage to ECs and cardiomyocytes. Subsequently, the further effect of ECs on cardiomyocytes in AS microenvironment was studied, and the results proved that ECs caused further damage to cardiomyocytes under AS biochemical factors. We used Pt nanoparticles (Pt NPs) to study the anti-AS efficiency. The results showed that the addition of Pt NPs played a particular role in the AS treatment of ECs in the AS microenvironment, and the protection for myocardial cells was achieved.

The Prognostic Value of a Derived Neutrophil-Lymphocyte Ratio in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

The systemic immune-inflammatory index (SII) and derived neutrophil-lymphocyte ratio (dNLR) are novel indexes that simultaneously reflect the host inflammatory and immune status and have prognostic value in some cancers. SII was associated with major cardiovascular events in coronary artery disease patients who received percutaneous coronary intervention (PCI). However, dNLR correlations with clinical outcomes in acute coronary syndrome (ACS) patients undergoing PCI remain unclear. This study aimed to elucidate the predictive values of SII and dNLR on the long-term prognosis of patients with ACS undergoing PCI. In total, 1,553 ACS patients undergoing PCI were consecutively enrolled from January 2016 to December 2018. The subjects were divided into high and low SII and dNLR groups for comparison (high vs. low). The SII and dNLR cutoff values for predicting major adverse cardiovascular events (MACE) were calculated using receiver operating characteristic curves, and Kaplan-Meier curves and Cox regression models were used for survival analyses. The endpoint was a MACE, which included all-cause mortality and rehospitalization for severe heart failure during follow-up. The Kaplan-Meier curves showed that a higher SII or dNLR value was associated with a higher risk of MACE (all P < 0.001). Multivariate Cox regression models showed that SII (hazard ratio [HR]: 2.545; 95% confidence interval [CI]: 1.416-4.574; P = 0.002) and dNLR (HR: 2.610, 95% CI: 1.454-4.685, P = 0.001) were independent predictors for MACE. dNLR may be a suitable laboratory marker to identify high-risk ACS patients after PCI.