Prognostic Value of Neutrophil to Lymphocyte Ratio for In-hospital Mortality in Elderly Patients with Acute Myocardial Infarction

Neutrophil to platelet ratio predicts in-hospital mortality in patients with acute myocardial infarction

Acute myocardial infarction (AMI) is a critical medical emergency worldwide and a leading cause of mortality. This study aims to investigate the predictive utility of the neutrophil-to-platelet ratio (NPR) in identifying AMI patients at an increased risk of in-hospital mortality. We enrolled 664 patients, including 421 with ST-elevation myocardial infarction (STEMI) and 243 with non-ST-elevation myocardial infarction (NSTEMI), at Zhongshan Hospital, Fudan University, from January 2020 to September 2023. NPR was calculated as the neutrophil count divided by the platelet count. The primary outcome was defined as in-hospital mortality. The overall in-hospital mortality among AMI patients was 6.78%. Mortality was notably higher in the high NPR group compared to the low NPR group. Univariate analysis identified several variables significantly associated with in-hospital mortality, including age, left ventricular ejection fraction (LVEF), neutrophil-to-lymphocyte ratio (NLR), and NPR. NPR demonstrated a strong independent association with in-hospital mortality following adjustment for potential confounders. Receiver operating characteristic (ROC) curve analyses were performed to assess the discriminative power of NPR and NLR in predicting in-hospital mortality. NPR exhibited an area under the curve (AUC) of 0.755 (95% CI, 0.682-0.829, p < 0.001), indicating good discriminative ability. Similarly, NLR showed a discriminative AUC of 0.674 (95% CI, 0.586-0.762, p < 0.001). The optimal cutoff values for predicting mortality were determined as 0.042 for NPR (sensitivity 80%, specificity 62.2%) and 8.02 for NLR (sensitivity 62.2%, specificity 67.5%). Bootstrap validation with 1000 iterations confirmed the robustness of these findings, with validated AUCs of 0.755 (95% CI, 0.681-0.826) for NPR and 0.674 (95% CI, 0.587-0.766) for NLR. This study identifies NPR as an independent and valuable predictor of in-hospital mortality among AMI patients, The findings underscore NPR's potential utility in clinical practice for risk stratification and early intervention strategies aimed at reducing mortality rates in this high-risk patient population.

Prognostic value of inflammatory markers for all-cause mortality in patients with acute myocardial infarction in the coronary care unit: a retrospective study based on MIMIC-IV database

Background

Acute myocardial infarction (AMI) is prevalent and perilous, leading to mortality and disability in the coronary care unit (CCU). This paper was to verify the correlation of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and systemic inflammation response index (SIRI) with all-cause mortality for AMI patients in the CCU.

Methods

Adult patients diagnosed with AMI and admitted to CCU were selected from the MIMIC-IV database. Various clinical and laboratory data were extracted. Logistic regression models were employed to determine the correlation between NLR and in-hospital mortality, 30-day mortality, and 90-day mortality. Confounding factors were adjusted to validate the result robustness. Restricted cubic spline (RCS) curves were adopted to analyze the potential correlation between NLR and all-cause mortality. Meanwhile, the area under the receiver operating characteristic (ROC) curve (AUC) was utilized to compare the prediction ability of NLR, SII, PLR, and SIRI in all-cause mortality. Subsequently, subgroup analyses of gender and comorbidities were performed.

Results

1,386 AMI patients in the CCU were enrolled. The NLR was non-linearly and positively associated with in-hospital mortality [Q4: OR (95%CI) 2.61; (1.261-5.626), p = 0.012], 30-day mortality [Q4: OR (95%CI) 2.005; (1.048-3.925); p = 0.038], 90-day mortality [Q4: OR (95%CI) 2.191; (1.235-3.948); p = 0.008] with Q1 as the reference group. The NLR had the highest AUC for in-hospital mortality, 30-day mortality, and 90-day mortality among four inflammatory markers (NLR, SII, PLR, SIRI). Stratified analyses based on gender and comorbidities showed that the risk of death was significantly increased in male and female patients, with or without diabetes, without cerebral infarction, chronic obstructive pulmonary disease, liver disease, and renal disease in the Q4 group when compared to the Q1 group.

Conclusions

NLR is nonlinearly and positively associated with all-cause mortality of AMI patients in the CCU. The predictive ability of NLR in in-hospital mortality, 30-day mortality, and 90-day mortality is superior to that of SII, PLR, and SIRI.

Association between neutrophil-to-lymphocyte ratio and short-term all-cause mortality in patients with cerebrovascular disease admitted to the intensive care unit-a study based on the MIMIC-IV database

BACKGROUND

Inflammation plays a crucial role in cerebrovascular disease (CVD) progression. Neutrophil-to-lymphocyte ratio (NLR) is an important inflammatory marker, though its diagnostic role in CVD is still under investigation. This study evaluates the relationship between NLR and short-term all-cause mortality in patients with CVD admitted to the intensive care unit (ICU).

METHODS

We conducted a retrospective study using data from the Medical Information Mart for Intensive Care (MIMIC-IV) (v2.2) database, including 4,327 adult ICU-admitted CVD patients. NLR values at admission were analyzed alongside various mortality variables. Multivariate Cox proportional hazards regression models and Kaplan-Meier (K-M) survival curves assessed the relationship between NLR and short-term all-cause mortality. Predictive power, sensitivity, specificity, and area under the curve (AUC) of NLR for short-term mortality were investigated using Receiver Operating Characteristic (ROC) analysis. Additionally, restricted cubic spline (RCS) curves and subgroup analyses were conducted.

RESULTS

Among the 4,327 patients, 3,600 survived (survival group) and 727 died (non-survival group) within 28 days of admission (mortality rate: 16.8%). A multivariate Cox regression analysis identified NLR as an independent predictor of 28-day all-cause mortality (hazard ratio: 1.013; 95% confidence interval: 1.0086-1.0188; p < 0.001). The predictive model, incorporating NLR, age, gender, BMI, Charlson comorbidity index (CCI), WBC counts, Platelet, INR, and CRP, achieved an AUC of 0.686 (95% confidence interval: 0.665-0.70). While platelet-to-lymphocyte ratio was also analyzed, its predictive efficiency was less pronounced compared to NLR. A best NLR threshold of 6.19 was determined, distinguishing survivors from non-survivors. Kaplan-Meier survival curves showed that patients with NLR ≥ 6.19 had significantly lower survival rates at 7-, 14-, 21-, and 28-days. Subgroup analyses indicated that NLR did not significantly interact with most subgroups.

CONCLUSION

NLR may serve as an independent predictor for short-term all-cause mortality in ICU-admitted CVD patients, enhancing our understanding of the association between inflammatory biomarkers and CVD prognosis.

Association between Systemic Immune-Inflammation Index (SII) and New-Onset In-Hospital Heart Failure in Patients with STEMI after Primary PCI

BACKGROUND

The systemic immune-inflammation index (SII) is a proven, reliable inflammatory marker of the atherosclerotic process. Additionally, inflammation is one of the most important mechanisms of heart failure (HF) after myocardial infarction (MI). However, it is not clear whether SII is related to the risk of in-hospital HF in patients with MI. Thus, we aimed to explore the relationship between SII and the risk of new-onset in-hospital HF in ST-segment elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI).

METHODS

A total of 5586 patients with STEMI underwent pPCI at seven clinical sites in China from January 2015 to August 2021. The patients were divided into two groups based on the SII values. The association between SII and new-onset in-hospital HF in STEMI patients was assessed using logistic regression analysis.

RESULTS

Ultimately, 3808 STEMI patients with Killip class I who were treated with pPCI were included. All included patients were divided into two groups based on the calculated SII (Q1 SII: <1707.31 (×109/L), Q2 SII: ≥1707.31 (×109/L)). After unadjusted and multivariate adjustment for age, gender, vital signs, smoking, hypertension, diabetes mellitus, etc., the odds ratio (OR) of the in-hospital HF risk in Q2 was 1.378-1.427 times the Q1 in the calibration Models 1 to 5. Subgroup analysis showed that the OR of Q2 was 1.505-fold higher of Q1 in males and 1.525-fold in older people (≥60 years). Sensitivity analysis showed that after excluding patients who had previously experienced HF, MI, or underwent PCI, elevated SII was still associated with a significant increase in the risk of in-hospital HF.

CONCLUSIONS

Elevated SII is associated with an increased risk of in-hospital HF in STEMI patients treated with pPCI, particularly in male and older patients.

CLINICAL TRIAL REGISTRATION

The Chinese STEMI pPCI Registry was registered with ClinicalTrials.gov (NCT04996901, https://www.clinicaltrials.gov/study/NCT04996901?cond=NCT04996901&rank=1).

The Prognostic Value of Advanced Lung Cancer Inflammation Index in Elderly Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

This study aimed to investigate the predictive value of advanced lung cancer inflammation index (ALI) for major adverse cardiovascular events (MACEs) in elderly patients with acute coronary syndrome (ACS).A total of 586 ACS patients undergoing percutaneous coronary intervention (PCI) over 65 years old between January 2017 and December 2018 were retrospectively collected. The patients were divided into two groups by the optimal cutoff value of ALI. Spearman rank correlation coefficient was used to evaluate the correlation between ALI and the Global Registry of Acute Coronary Events (GRACE). Time-dependent receiver operating characteristic (ROC) curves, Cox survival analysis, and Kaplan Meier curves were used to assess the predictive value of ALI for MACEs.Spearman's nonparametric test revealed a moderate correlation between ALI and the GRACE (r: -0.417, P < 0.001). Time-dependent ROC curves showed that the area under the curve for ALI was 0.751 (95% CI, 0.699-0.798) in predicting MACEs, higher than Geriatric Nutritional Risk Index (0.531, 95% CI 0.435-0.627) and Prognostic Nutritional Index (0.590, 95% CI 0.505-0.676), and for combined diagnostic models (ALI + GRACE) was 0.913, (95% CI 0.875 - 0.942, P < 0.001). Multivariate Cox analysis demonstrated that ALI (HR: 0.974, 95% CI: 0.952-0.996, P = 0.017) was an independent risk factor for MACEs. Kaplan Meier survival analysis showed that the cumulative incidence of MACEs was significantly higher in elderly ACS patients with lower ALI (log-rank test, P < 0.001).ALI could be a nutrition-inflammation indicator with independent predictive value for long-term MACEs of elderly ACS patients after PCI.

The isolation of VCAM-1+ endothelial cell-derived extracellular vesicles using microfluidics

Background: Vascular cell adhesion molecule-1 (VCAM-1+) endothelial cell-derived extracellular vesicles (EC-EVs) are augmented in cardiovascular disease, where they can signal the deployment of immune cells from the splenic reserve. Endothelial cells in culture activated with pro-inflammatory tumor necrosis factor-α (TNF-a) also release VCAM-1+ EC-EVs. However, isolating VCAM-1+ EC-EVs from conditioned cell culture media for subsequent in-depth analysis remains challenging. Aim: We utilized the extracellular vesicles (EV) microfluidics herringbone chip (EVHB-Chip), coated with anti-VCAM-1 antibodies, for selective capture of VCAM-1+ cells and EC-EVs. Methods and Results: Engineered EA.hy926 endothelial cells overexpressing VCAM-1 (P < 0.001 versus control) showed increased binding to the VCAM-1- EVHB-Chip versus an IgG device. TNF-α-stimulated human umbilical cord vein endothelial cells (HUVECs) exhibited elevated VCAM-1 protein levels (P < 0.001) and preferential binding to the VCAM-1- EVHB-Chip versus the IgG device. HUVECs stimulated with TNF-α showed differential gene expression of intercellular adhesion molecule-1 (ICAM-1) (P < 0.001) and VCAM-1 (P < 0.001) by digital droplet PCR versus control cells. HUVEC-derived EC-EVs were positive for CD9, CD63, HSP70, and ALIX and had a modal size of 83.5 nm. Control and TNF-α-stimulated HUVEC-derived EC-EV cultures were captured on the VCAM-1- EVHB-Chip, demonstrating selective capture. VCAM-1+ EC-EV were significantly enriched for ICAM-1 (P < 0.001) mRNA transcripts. Conclusion: This study presents a novel approach using the EVHB-Chip, coated with anti-VCAM-1 antibodies and digital droplet PCR for the study of VCAM-1+ EC-EVs. Isolation of VCAM-1+ EC-EV from heterogeneous sources such as conditioned cell culture media holds promise for subsequent detailed characterization, and may facilitate the study of VCAM-1+ EC-EVs in cardiovascular and metabolic diseases, for disease monitoring and therapeutic insights.

Rapid neutrophil mobilization by VCAM-1+ endothelial cell-derived extracellular vesicles

AIMS

Acute myocardial infarction rapidly increases blood neutrophils (<2 h). Release from bone marrow, in response to chemokine elevation, has been considered their source, but chemokine levels peak up to 24 h after injury, and after neutrophil elevation. This suggests that additional non-chemokine-dependent processes may be involved. Endothelial cell (EC) activation promotes the rapid (<30 min) release of extracellular vesicles (EVs), which have emerged as an important means of cell-cell signalling and are thus a potential mechanism for communicating with remote tissues.

METHODS AND RESULTS

Here, we show that injury to the myocardium rapidly mobilizes neutrophils from the spleen to peripheral blood and induces their transcriptional activation prior to arrival at the injured tissue. Time course analysis of plasma-EV composition revealed a rapid and selective increase in EVs bearing VCAM-1. These EVs, which were also enriched for miRNA-126, accumulated preferentially in the spleen where they induced local inflammatory gene and chemokine protein expression, and mobilized splenic-neutrophils to peripheral blood. Using CRISPR/Cas9 genome editing, we generated VCAM-1-deficient EC-EVs and showed that its deletion removed the ability of EC-EVs to provoke the mobilization of neutrophils. Furthermore, inhibition of miRNA-126 in vivo reduced myocardial infarction size in a mouse model.

CONCLUSIONS

Our findings show a novel EV-dependent mechanism for the rapid mobilization of neutrophils to peripheral blood from a splenic reserve and establish a proof of concept for functional manipulation of EV-communications through genetic alteration of parent cells.

Association of the Systemic Immune-Inflammation Index with Outcomes in Acute Coronary Syndrome Patients with Chronic Kidney Disease

Background

The systemic immune-inflammation index (SII; neutrophil × platelet/lymphocyte) is a novel marker for immune and inflammatory status and is associated with adverse prognosis in cardiovascular disease.

Methods

In total, 744 patients diagnosed with acute coronary syndrome (ACS) and chronic kidney disease (CKD) were included in our study, received standard therapies, and were followed up. Patients were divided into high and low SII groups according to the baseline SII. The primary endpoint was major cardiovascular events (MACEs), defined as cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During a median follow-up of 2.5 years, a total of 185 (24.9%) MACEs were recorded. Analysis of the ROC curve revealed that the best cutoff value of SII was 1159.84×10⁹/L for predicting MACEs. The Kaplan-Meier analysis showed that those patients in the low SII group had higher survival rates than those in the high SII group (p < 0.001). Compared to those in the low SII group, patients in the high SII group were at significantly higher risk of MACEs (134 (38.8%) vs 51 (12.8%), p < 0.001). Univariate and multivariable Cox regression analyses revealed that a high SII level was independently associated with MACEs in ACS patients with CKD (adjusted hazard ratio [HR]: 1.865, 95% confidence interval [CI]: 1.197-2.907, p = 0.006).

Conclusion

The present study showed that an elevated SII is associated with adverse cardiovascular outcomes in ACS with CKD patients, suggesting that SII may be a valuable predictor of poor prognosis in ACS with CKD patients. Further studies are needed to confirm our findings.

Relationship between the neutrophil to high-density lipoprotein cholesterol ratio and severity of coronary artery disease in patients with stable coronary artery disease

Objective

To evaluate the link between the neutrophil to HDL-C ratio (NHR) and the degree of coronary stenosis in patients with stable coronary artery disease (CAD).

Materials and methods

Totally 766 individuals who attended our clinic for coronary angiography between January 2019 and January 2021 were included in this study. The participants were divided into two groups, including the CAD group and control group. Spearman correlation analysis was used to investigate the association between NHR and Gensini score and logistic regression analysis was performed to determine the influence of NHR on CAD and severe CAD. Receiver operating characteristic (ROC) curve was constructed to analyze the predictive value of NHR for severe CAD.

Results

The CAD group had a substantially higher median NHR than the control group (3.7 vs. 3.2, P < 0.01). There was a positive correlation between NHR and Gensini score, as well as the frequency of coronary artery plaques. Logistic regression demonstrated that NHR was an independent contributor for CAD and severe CAD. In ROC analysis, the area under the ROC curve (AUC) for NHR was larger than that for neutrophil, HDL-C or LDL-C/HDL-C, and the differences were statistically significant (all P < 0.05). The NHR limit that offered the most accurate prediction of severe CAD according to the greatest possible value of the Youden index, was 3.88, with a sensitivity of 62.6% and a specificity of 66.2%.

Conclusion

NHR was not only associated with the occurrence and seriousness of CAD, but also a better predictor of severe CAD than neutrophil, HDL-C or LDL-C/HDL-C.

Neutrophil-to-lymphocyte ratio as a predictor for cardiovascular diseases: a cohort study in Tianjin, China

Based on a cohort in Tianjin, China, we explore the relationship between neutrophils-to-lymphocyte ratio (NLR) and the risk of cardiovascular diseases (CVDs). From January 2010 to December 2019, 4667 eligible participants aged more than 40 years old, CVDs-free, and registered in two community health service centers were recruited and followed up. The values of NLR collected at baseline were included in Cox proportional hazards model to evaluate its association with the incidence risk of CVDs. Hazard ratio (HR) and 95% confidence interval (CI) were calculated before and after adjustment for potential confounding factors selected by LASSO regression. During a total of 13,691 person-years of follow-up among all participants (median, 2.0 years; interquartile range, 1.7-2.5), 150 (3.42%) newly diagnosed CVDs events occurred, with the incidence density of CVDs of 10.96/1000 person-year. The incidence density in subgroups categorized by tertiles of baseline NLR was 8.08/1000, 11.74/1000, and 13.24/1000, respectively (p trend = 0.019). COX models revealed that after adjustment for potential confounders, NLR (as a continuous variable) was significantly related to the risk of total CVDs (HR 1.10, 95% CI: 1.04, 1.17), myocardial infarction (HR 1.12, 95% CI: 1.05, 1.20), and ischemic stroke (HR 1.21, 95% CI: 1.10, 1.33). When NLR was categorized into tertiles, participants in the top tertile had a significantly higher risk of CVDs (HR 1.61, 95% CI: 1.06, 2.44) and myocardial infarction (HR 1.88, 95% CI: 1.09, 3.27) relative to those in the bottom tertile.

Systematic Bioinformatics Analysis Based on Public and Second-Generation Sequencing Transcriptome Data: A Study on the Diagnostic Value and Potential Mechanisms of Immune-Related Genes in Acute Myocardial Infarction

Acute myocardial infarction (AMI) is one of the most serious cardiovascular diseases worldwide. Advances in genomics have provided new ideas for the development of novel molecular biomarkers of potential clinical value for AMI.

Long-term Prognosis after Treatment of Total Occluded Coronary Artery is well Predicted by Neutrophil to High-Density Lipoprotein Ratio: a Comparison Study

Aim    Mortality prediction is very important for more effective treatment of patients with acute coronary syndrome. Hematological and lipid parameters have been used for this purpose, as this approach is non-invasive and cost effective. In this study, our aim was to evaluate which parameter predicts mortality most accurately.Material and Methods    Data of 554 patients with at least one total coronary artery occlusion were collected retrospectively. Receiver operating characteristic curves were used to determine the optimal cut-off points of Neu / HDL, Neu / Lym, Mono / HDL, Trig / HDL, HDL / LDL, Plt / Lym and Lym / HDL according to long-term cardiovascular survival. Median follow-up time was 520 days, and 30 patients died.Results    The mean age was 60.96±0.50 yrs. The area under the curve (AUC) for Neu / HDL was 0.830 (p&lt;0.001, 95 % confidence interval [CI]: 0.753 to 0.908). The cut-off point was 0.269, with a sensitivity of 74.2 % and a specificity of 74.2 %. The AUC for Neu / Lym was 0.688 (p&lt;0.001, 95 % CI: 0.586 to 0.790). The cut-off point was 5.322, with a sensitivity of 67.7 % and a specificity of 67.1 %. The Neu / HDL (hazard ratio, HR [confidence interval, CI]: 0.202 [0.075-0.545], p=0.002) and Neu / Lym (0.306 [0.120-0.777], p=0.013) were associated with increased risk of death according to multivariate Cox regression analysis.Conclusions    Neu / HDL offers a better long-term mortality prediction than Neu / Lym, Mono / HDL, Trig / HDL, HDL / LDL, Plt / Lym, or Lym / HDL after treatment of total coronary artery occlusion.

Correlations and Prognostic Roles of the Nutritional Status and Neutrophil-to-lymphocyte Ratio in Elderly Patients with Acute Myocardial Infarction Undergoing Primary Coronary Intervention

The prognostic capacities of nutritional status and inflammation in patients with acute myocardial infarction (AMI) have attracted increasing interest. However, the combined usefulness of the Controlling Nutritional Status (CONUT) score and neutrophil-to-lymphocyte ratio (NLR) in predicting adverse outcomes has not been investigated. The aim of our study was to investigate the relationship between the CONUT score and the NLR in patients with AMI and assessing the potential of these factors as prognostic markers.In this retrospective study, we reviewed the medical records of consecutive patients aged 65 years or older who were diagnosed with AMI and who underwent primary coronary intervention. We assessed the nutritional and inflammatory statuses using the CONUT score and the NLR, respectively. The NLR and CONUT score in the major adverse cardiovascular event (MACE) (+) patients were significantly higher than those in the MACE (-) patients. The areas under the receiver operating characteristic curves of the NLR and CONUT score were 0.71 and 0.77, respectively. The Kaplan-Meier analysis showed that patients with a high NLR (≥6.07) and CONUT score (≥3.5) had the worst prognoses. The multivariate Cox proportional hazards analyses suggested that the CONUT score was an independent predictor.The CONUT score was proven to be a significant prognostic factor of clinical outcomes in patients with AMI. However, further research in this area is needed to more fully understand the relationship among nutritional status, inflammation, and cardiovascular diseases, which might help reduce MACEs in patients with AMI.

Clinical features predicting mortality risk in older patients with COVID-19

BACKGROUND

Since December 2019, the cumulative number of coronavirus disease 2019 (COVID-19) deaths worldwide has reached 1,013,100 and continues to increase as of writing. Of these deaths, more than 90% are people aged 60 and older. Therefore, there is a need for an easy-to-use clinically predictive tool for predicting mortality risk in older individuals with COVID-19.

OBJECTIVE

To explore an easy-to-use clinically predictive tool that may be utilized in predicting mortality risk in older patients with COVID-19.

METHODS

A retrospective analysis of 118 older patients with COVID-19 admitted to the Union Dongxihu Hospital, Huazhong University of Science and Technology, Wuhan, China from 12 January to 26 February 2020. The main results of epidemiological, demographic, clinical and laboratory tests on admission were collected and compared between dying and discharged patients.

RESULTS

No difference in major symptoms was observed between dying and discharged patients. Among the results of laboratory tests, neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase, albumin, urea nitrogen and D-dimer (NLAUD) show greater differences and have better regression coefficients (β) when using hierarchical comparisons in a multivariate logistic regression model. Predictors of mortality based on better regression coefficients (β) included NLR (OR = 31.2, 95% CI 6.7-144.5, p < .0001), lactate dehydrogenase (OR = 73.4, 95% CI 11.8-456.8, p < .0001), albumin (OR < 0.1, 95% CI <0.1-0.2, p < .0001), urea nitrogen (OR = 12.0, 95% CI 3.0-48.4, p = .0005), and D-dimer (OR = 13.6, 95% CI 3.4-54.9, p = .0003). According to the above indicators, a predictive NLAUD score was calculated on the basis of a multivariate logistic regression model to predict mortality. This model showed a sensitivity of 0.889, specificity of 0.984 and a better predictive ability than CURB-65 (AUROC = 0.955 vs. 0.703, p < .001). Bootstrap validation generated the similar sensitivity and specificity.

CONCLUSIONS

We designed an easy-to-use clinically predictive tool for early identification and stratified treatment of older patients with severe COVID-19.

Can the neutrophil-lymphocyte ratio predict type 1 hereditary angioedema attacks?

The neutrophil-lymphocyte ratio is a simple and easily used parameter for the assessment of inflammation. We aimed to determine the predictive potential of the neutrophil-lymphocyte ratio regarding episode occurrence in patients with hereditary angioedema. Sixty-six patients with Type 1 hereditary angioedema and 60 healthy controls were included in the study. The laboratory results of the patients in their episode-free periods were similar to those of the healthy controls. The median of neutrophil-lymphocyte ratio was higher during episodes when compared to normal periods (3.5 versus 2.0, p < .001). A significant positive correlation was present between the episode count and the neutrophil-lymphocyte ratio calculated during the episodes (r = 0.557, p < .001). We can conclude that the neutrophil-lymphocyte ratio, which is cheap and easy to calculate, can be used by clinicians as a predictive parameter for prediction of the episode count in patients with hereditary angioedema.

The predictive value of lymphocyte-to-monocyte ratio in the prognosis of acute coronary syndrome patients: a systematic review and meta-analysis

Background

The association between the lymphocyte-to-monocyte ratio (LMR) and prognosis in the patients with acute coronary syndrome (ACS) is not fully understood. We performed this systematic review and meta-analysis to evaluate the correlation between LMR and mortality or major adverse cardiac events (MACE) in patients with ACS.

Methods

A systematic search was performed in PubMed, MEDLINE, EMBASE, the Cochrane Library, Scopus, and Web of science. The association between LMR and mortality/MACE was analyzed in patients with ACS. The search was updated to April 15, 2020.

Results

A total of 5 studies comprising 4343 patients were included in this meta-analysis. The results showed that lower LMR predicted higher short-term mortality/MACE (hazard ratio [HR] = 3.44, 95% confidence interval [CI]: 1.46–8.14, P <  0.05) and long-term mortality/MACE (HR = 1.70, 95% CI: 1.36–2.13, P <  0.05). In the subgroup analysis, there was still statistical significance of long-term mortality/MACE in all subgroups.

Conclusions

This study suggested that lower LMR value might be associated with higher short-term and long-term mortality/MACE in ACS patients. Especially for younger ACS patients, low LMR was more closely associated with poor prognosis.

Neutrophil to high-density lipoprotein ratio has a superior prognostic value in elderly patients with acute myocardial infarction: a comparison study

Background

The importance of the lipid-related biomarkers has been implicated in the pathological process and prognosis of acute myocardial infarction (AMI). Our work was conducted to discuss and compare the predictive ability of the neutrophil to high-density lipoprotein cholesterol (HDL-C) ratio (NHR) with other existing prognostic indices, for instance, the monocyte to HDL-C ratio (MHR) and the low-density lipoprotein cholesterol (LDL-C) to HDL-C ratio (LDL-C/HDL-C) in elderly patients with AMI.

Methods

Our population was 528 consecutive elderly AMI patients (65–85 years) who were enrolled from Tongji Hospital and grouped according to the cutoff points which were depicted by the receiver operating characteristic (ROC). The Kaplan-Meier curves were plotted with the survival data from the follow-up to investigate the difference between cutoff point-determined groups. Moreover, we assessed the impact of NHR, MHR, LDL-C/HDL-C on the long-term mortality and recurrent myocardial infarction (RMI) with Cox proportional hazard models.

Results

Mean duration of follow-up was 673.85 ± 14.32 days (median 679.50 days). According to ROC curve analysis, NHR ≥ 5.74, MHR ≥ 0.67, LDL-C/HDL-C ≥ 3.57 were regarded as high-risk groups. Kaplan-Meier analysis resulted that the high-NHR, high-MHR and high-LDL-C/HDL-C groups presented higher mortality and RMI rate than the corresponding low-risk groups in predicting the long-term clinical outcomes (log-rank test: all P < 0.050). In multivariate analysis, compared with MHR and LDL-C/HDL-C, only NHR was still recognized as a latent predictor for long-term mortality (harzard ratio [HR]: 1.96, 95% confidence interval [CI]: 1.02 to 3.75, P = 0.044) and long-term RMI (HR: 2.23, 95% CI: 1.04 to 4.79, P = 0.040). Furthermore, the positive correlation between NHR and Gensini score (r = 0.15, P < 0.001) indicated that NHR was relevant to the severity of coronary artery to some extent.

Conclusions

NHR, a novel laboratory marker, might be a predictor of the long-term clinical outcomes of elderly patients with AMI, which was superior to MHR and LDL-C/HDL-C.

Systemic Immune-Inflammatory Index Predicts Clinical Outcomes for Elderly Patients with Acute Myocardial Infarction Receiving Percutaneous Coronary Intervention

BACKGROUND We assessed the utility of the systemic immune-inflammatory index (SII) in estimating the in-hospital and long-term prognosis of elderly patients with acute myocardial infarction (AMI) who received percutaneous coronary intervention (PCI). MATERIAL AND METHODS Our study evaluated 711 consecutive elderly patients (age 65-85 years) from January 2015 to December 2017. The correlation between clinical outcomes and SII was analyzed through the stepwise Cox regression analysis and the Kaplan-Meier approach. The clinical endpoints were all-cause mortality and major adverse cardiovascular and cerebrovascular events (MACCE) in-hospital and during 3-year follow-up. RESULTS The study enrolled 711 elderly patients with AMI (66.95% male, 71.99±0.19 years). Kaplan-Meier analysis showed a lower survival rate in patients with higher SII scores, which also predicted in-hospital and long-term (≤3 years) outcomes. In multivariate analyses, SII showed an independent predictive value for in-hospital mortality (hazard ratio (HR), 3.32; 95% confidence interval (CI), 1.55-7.10; p<0.01), in-hospital MACCE (HR, 1.43; 95%CI, 1.02-2.00; p=0.04), long-term mortality (HR, 1.95; 95%CI, 1.23-3.09; p<0.01), along with long-term MACCE (HR, 1.72; 95%CI, 1.23-2.40; p<0.01). Moreover, SII showed a weak but significant positive relationship with the Gensini score among patients developing non-ST-segment elevation myocardial infarction (r=0.18; p<0.01). CONCLUSIONS SII, a readily available laboratory marker, is a potential indicator to predict the clinical endpoints for elderly patients with AMI undergoing PCI.

Prognostic nutritional index may not be a good prognostic indicator for acute myocardial infarction

The prognostic nutritional index (PNI) has been applied in acute myocardial infarction (AMI) recently.However, the application of PNI in AMI needs verification. This was a prospective cohort study. Patients diagnosed with AMI were enrolled. PNI was calculated as (serum albumin (SA in g/L)) + (5 × total lymphocyte count (TLC) × 10⁹/L). Modified PNI (mPNI) was analyzed by logistic regression analysis to reset the proportion of SA and TLC. The primary outcome was all-cause death. A total of 598 patients were enrolled; 73 patients died during follow-up. The coefficient of SA and TLC in the mPNI formula was approximately 2:1. The area under the receiver operating characteristic curve of SA, TLC, PNI, mPNI and GRACE in predicting death for patients with AMI was 0.718, 0.540, 0.636, 0.721 and 0.825, respectively. Net reclassification improvement (NRI) between PNI and mPNI was 0.230 (p < 0.001). Integrated discrimination improvement (IDI) was 0.042 (p = 0.001). Decision curve analysis revealed that mPNI had better prognostic value for patients with AMI than PNI; however, it was not superior to SA. Thus, PNI may not a reliable prognostic predictor of AMI; after resetting the formula, the value of PNI in predicting prognosis of AMI is almost entirely due to SA.