Correlation of neutrophil-to-lymphocyte ratio with the prognosis of non-ST-segment elevation in patients with acute coronary syndrome undergoing selective percutaneous coronary intervention

The Prognostic Value of the Advanced Lung Cancer Inflammation Index for Major Cardiovascular and Cerebrovascular Events in Patients with Non-ST Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

Objectives: Our aim was to investigate whether admission advanced lung cancer inflammation index (ALI) values have a prognostic role on one-year major adverse cardiovascular and cerebrovascular events (MACCEs) in non-ST elevation myocardial infarction (NSTEMI) patients undergoing percutaneous coronary intervention (PCI). Methods: Our study consisted of 1173 consecutive patients aged 61.9 ± 12.5 years. The study population was divided into two groups according to the occurrence of MACCEs. BMI (body mass index), serum albumin levels and NLR (neutrophil to lymphocyte ratio) of patients were collected from hospital records, and ALI was calculated based on the following formula: BMI × serum albumin/NLR. We also calculated neutrophil to lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CAR) and uric acid to albumin ratio (UAR) and investigated the association of these inflammation-based biomarkers with one-year MACCEs. Results: During the 12-month follow-up period, 158 (13.5%) patients had MACCEs, 55 (4.7%) of whom had all-cause mortality, 96 (8.2%) had nonfatal MI and 7 (0.6%) had nonfatal stroke. Patients with MACCEs had significantly lower ALI (p < 0.001), and also ALI (area under the curve [AUC] = 0.658, p < 0.001) had better discriminatory power and predictive accuracy in determining one-year MACCEs compared to albumin (AUC = 0.594, p < 0.001), NLR (AUC = 0.631, p < 0.001), CAR (AUC = 0.595, p < 0.001) and UAR (AUC = 0.577, p = 0.001) in the ROC analysis. Individuals with an ALI value lower than 43.9 were at greater risk of developing MACCEs (p < 0.001) due to the Delong test. Conclusions: Determining the level of ALI may have the potential to improve risk prognostication in NSTEMI patients undergoing revascularization therapy.

Predictive value of peripheral neutrophil count on admission for young patients with acute coronary syndrome

OBJECTIVE

The present study aimed to explore the relationship between neutrophil count on admission and major adverse cardiovascular and cerebrovascular events (MACCE) and left ventricular ejection fraction (LVEF) during hospitalization in young ACS patients, which have rarely been investigated in previous studies.

METHODS

This study included 400 young ACS patients (<45 years old) who underwent coronary angiography. According to the median neutrophil count at admission, the patients were divided into two groups. The relationship between neutrophil count and MACCE and LVEF during hospitalization was analyzed by regression analysis. The receiver operating characteristic (ROC) curve and the Youden index was used to determine the optimal cut-off value of neutrophil count.

RESULTS

Neutrophil count at admission was an independent risk factor of in-hospital MACCE (OR: 1.33, 95% CI: 1.13-1.56, P<0.001) and LVEF <50% (OR: 1.28, 95% CI: 1.12-1.47, P<0.001) in young ACS patients.The cutoff value of neutrophil count for predicting the occurrence of in-hospital MACCE was 6.935 × 10^9/L with a sensitivity of 92.1%, specificity of 59.4%, and AUC is 0.820 (95% CI: 0.7587-0.8804, P<0.001), and for identifying the LVEF <50% was 8.660 × 10^9/L with a sensitivity of 69.8%, specificity of 76.8%, and AUC is 0.775 (95% CI: 0.6997-0.8505, P<0.001).

CONCLUSION

The neutrophil count upon admission is an independent predictor of in-hospital MACCE and LVEF in young ACS patients, giving important information for predicting the poor prognosis of young ACS patients.

Advanced Lung Cancer Inflammation Index as Predictor of All-Cause Mortality in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

Background: The advanced lung cancer inflammation index (ALI) is an independent prognostic biomarker used to assess inflammation and nutritional status in various cancers, heart failure, and acute coronary syndromes. This study investigates the prognostic significance of ALI in patients experiencing ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI), comparing its predictive abilities with the established Neutrophil-Lymphocyte Ratio (NLR). Methods: We conducted a retrospective analysis of 1171 patients from the Matrix Registry, encompassing demographic and clinical data for STEMI cases treated with pPCI, and ALI was determined using the formula [serum albumin (g/dL) × body mass index (kg/m2)]/NLR at the time of hospital admission. The primary outcome was all-cause mortality. Results: Of the 1171 patients, 86 died during the follow-up period. Univariate analysis identified age, female gender, smoking, hypertension, diabetes, prior myocardial infarction (PMI), lower left ventricular ejection fraction (LVEF), and reduced ALI as factors associated with mortality. Multivariate analysis confirmed age (HR: 1.1, 95% CI: 1.05-1.11, p < 0.001) and PMI (HR: 2.4, 95% CI: 1.4-4.3, p = 0.001) as prominent independent predictors, alongside ALI (HR: 0.95, 95% CI: 0.92-0.97, p < 0.001) and LVEF (HR: 0.98, 95% CI: 0.97-0.99, p = 0.04). An ALI cut-off of ≤10 indicated a higher mortality risk (HR: 2.3, 95% CI: 1.5-3.7, p < 0.001). The area under the curve for ALI (0.732) surpassed that for NLR (0.685), demonstrating ALI's superior predictive capability. Conclusions: ALI is an independent prognostic factor for all-cause mortality in STEMI patients undergoing pPCI, showing greater discriminatory power than NLR, particularly in patients with ALI values ≤ 10, who face a 2.3-fold higher mortality risk.

The combination of CYP2C19 polymorphism and inflammatory cell ratios in prognosis cardiac adverse events after acute coronary syndrome

Background

CYP2C19 gene polymorphism combination with inflammatory cell ratios was significant in the prognosis of coronary heart disease.

Materials and methods

A cross-sectional analysis study, with 6 months follow-up on 142 patients with acute coronary syndrome. Patients were analyzed for CYP2C19 gene polymorphisms by real-time polymerase chain reaction (PCR) and complete blood count to determine inflammatory cell ratios and recorded cardiovascular events (CEs) after following up to 6 months.

Results

For 90-day CEs, CYP2C19 gene polymorphism (Hazard Ratio (HR): 1.965, 95 % Confidence Interval (CI): 1.012-3.814), the combination of a neutrophil and lymphocyte ratio (NLR) ≥ 2.982 (HR: 13.001, 95 % CI: 1.37-97.304) or a platelet to lymphocyte ratio (PLR) ≥ 162.42 (HR: 2.878, 95 % CI: 1.212-6.835) was independent predictors of CEs. For 180-day CEs, CYP2C19 gene polymorphism combination with NLR ≥3.02 (HR: 13.946, 95 % CI: 1.833-106.121) or PLR ≥160.38 (HR: 5.349, 95 % CI: 1.379-20.745) or monocyte to lymphocyte ratio (MLR) ≥ 0.3 (HR: 4.699, 95 % CI: 1.032-31.393) were independent predictors of CEs.

Conclusion

NLR, PLR or MLR combined with CYP2C19 gene polymorphism were stronger independent predictors of cardiovascular events in patients with acute coronary syndromes compared to CYP2C19 gene polymorphism and inflammatory cell ratios separately. CYP2C19 polymorphism and high NLR was the strongest predictor of both CEs at 90 days and 180 days.

Association between the neutrophil-to-lymphocyte ratio and risk of in-hospital heart failure and arrhythmia in patients with acute myocardial infarction

Background

This study was to probe into the relationship between the neutrophil-to-lymphocyte ratio (NLR) and both in-hospital and long-term heart failure risk in patients with acute myocardial infarction (AMI).

Methods

990 patients with AMI, including 386 with non-ST-segment elevation myocardial infarction (NSTEMI) and 604 with segment elevation myocardial infarction (STEMI) were recruited between January 2019 and March 2022. The in-hospital acute heart failure (AHF) and arrhythmia events were recorded.

Results

The NLR was significantly greater in the AHF group in STEMI and NSTEMI patients, with a higher frequency of arrhythmia in comparison to the non-AHF group. A high NLR was related to a high level of myocardial injury markers, accompanied with more AHF and arrhythmia events. Multivariate logistic regression analyses revealed that high NLR is independently linked with increased in-hospital AHF and arrhythmia risk. Receiver operating characteristic curve analyses revealed that the prognostic value of NLR for in-hospital AHF was 0.704 in STEMI patients and 0.766 in NSTEMI patients. However, during a median follow-up of 28 months with 32 heart failure patients, there was no significant difference between the low NLR group (n = 18) and the high NLR group (n = 14). Further analysis showed that the two groups did not significantly differ in the occurrence of heart failure within 12 months of discharge.

Conclusion

Our results indicate that NLR is an independent risk factor of in-hospital AHF in AMI patients. However, NLR has no value in predicting long-term heart failure.

The Role of Neutrophil to Lymphocyte Ratio and its Common Clinical Outcomes Among Patients with Non-ST Elevation Acute Coronary Syndrome

OBJECTIVES

To evaluate the admission neutrophil-to-lymphocyte ratio (NLR) for risk stratification for in-hospital outcomes and complications in non-ST-elevation acute coronary syndrome (non-ST-ACS) patients.

METHODS

We recruited consecutive patients with non-ST-ACS. The NLR was obtained and stratified as low, intermediate, and high-risk based on <3.0, 3.0-6.0, and >6.0, respectively. The new ST-T changes, arrhythmias, contrast-induced nephropathy (CIN), and mortality were recorded.

RESULTS

Median NLR was 3 [2.1-5.3] for 346 patients with 19.9% and 30.6% in high- and intermediate-risk group. New ST-T changes were observed in 3.5% (12) out of which 8, 3, and 1 patient in low, intermediate, and high-risk group (p = 0.424), respectively. Arrhythmias were observed in 5.8% (20) with 7, 5, and 8 patients in low, intermediate, and high-risk group (p = 0.067), respectively. CIN was observed in 4.9% (17) with 5, 5, and 7 in low, intermediate, and high-risk group (p = 0.064), respectively. In-hospital mortality was recorded in 1.4% (5) with 2 and 3 patients in high and low-risk group (p = 0.260), respectively.

CONCLUSION

A significant number of non-ST-ACS patients fall in the high-risk category of NLR. Although, the association between NLR and in-hospital mortality and adverse events was not statistically significant but relatively higher rates of events were observed in high risk group.

The Predictive Value of Different Nutritional Indices Combined with the GRACE Score in Predicting the Risk of Long-Term Death in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Nutritional status is associated with prognosis in acute coronary syndrome (ACS) patients. Although the Global Registry of Acute Coronary Events (GRACE) risk score is regarded as a relevant risk predictor for the prognosis of ACS patients, nutritional variables are not included in the GRACE score. This study aimed to compare the prognostic ability of the Geriatric Nutritional Risk Index (GNRI) and Prognostic Nutritional Index (PNI) in predicting long-term all-cause death in ACS patients undergoing percutaneous coronary intervention (PCI) and to determine whether the GNRI or PNI could improve the predictive value of the GRACE score. A total of 799 patients with ACS who underwent PCI from May 2018 to December 2019 were included and regularly followed up. The performance of the PNI in predicting all-cause death was better than that of the GNRI [C-index, 0.677 vs. 0.638, p = 0.038]. The addition of the PNI significantly improved the predictive value of the GRACE score for all-cause death [increase in C-index from 0.722 to 0.740; IDI 0.006; NRI 0.095; p < 0.05]. The PNI was superior to the GNRI in predicting long-term all-cause death in ACS patients undergoing PCI. The addition of the PNI to the GRACE score could significantly improve the prediction of long-term all-cause death.

Risk factors and a nomogram model for postoperative delirium in elderly gastric cancer patients after laparoscopic gastrectomy

Background

To evaluate the risk factors of postoperative delirium (POD) in elderly gastric cancer (GC) patients after laparoscopic gastrectomy and construct a predictive model.

Methods

Elderly GC patients undergoing laparoscopic gastrectomy were enrolled and grouped based on the status of POD development within postoperative 7 days. Independent risk factors were selected out by univariate and multivariate logistic regression analyses and then enrolled in the nomogram prediction model.

Results

A total of 270 elderly GC patients were enrolled, and POD occurred in 74 (27.4%) patients within postoperative 7 days. The results of multivariate regression analysis indicated that age (OR: 3.30, 95% CI: 1.41–6.85, P < 0.001), sleeping pills (OR: 1.87, 95% CI: 1.12–3.09, P = 0.012), duration of ICU stay (OR: 1.55, 95% CI: 1.02–2.37, P = 0.029), albumin/fibrinogen ratio (AFR) (OR: 1.74, 95% CI: 1.03–2.76, P = 0.019), and neutrophils/lymphocytes ratio (NLR) (OR: 2.12, 95% CI: 1.11–4.01, P = 0.016) were five independent risk factors for POD in elderly GC patients. The AUC of the constructed nomogram model based on these five factors was 0.807.

Conclusions

This study highlighted that age, AFR, NLR, sleeping pills taking, and duration of ICU stay were independent risk factors for POD, and the nomogram model based on these factors could effectively predict POD in elderly GC patients.

The uric acid to albumin ratio: a novel predictor of long-term cardiac mortality in patients with unstable angina pectoris after percutaneous coronary intervention

The prognosis of unstable angina pectoris (UAP) differs from non-ST-segment elevation myocardial infarction, and percutaneous coronary intervention (PCI) is considered to improve outcomes of UAP. This study aimed to assess the prognostic value of uric acid to albumin ratio (UAR) for long-term mortality in UAP patients after PCI. Our study retrospectively enrolled 2298 patients hospitalized because of UAP in a tertiary hospital. Divided by medium UAR, the patients were classified into two groups. Baseline demographics, clinical features and laboratory characteristics were obtained from medical records. Post-discharge follow-up was performed either in outdoor clinic or through phone call. The primary endpoint in this study was cardiac death, while all-cause death and rehospitalization were designated as the secondary endpoints. The median follow-up time was 672 days. Among all patients, 58 (2.5%) died, 28 of which died of cardiac deaths (1.2%), and 467 were re-hospitalized (20.3%). Cardiac mortality and all-cause mortality were found to be significantly higher in the high UAR group than in the low UAR group (p = 0.007, p < 0.001), and Kaplan-Meier analysis showed patients with higher UAR may suffer from worse outcomes (p = 0.020). UAR, PCI history, and age were identified as independent predictors of cardiac mortality by multivariate Cox regression. A UAR value of >8.35 was demonstrated as an ideal cut-off point to predict post-PCI cardiac mortality (p <0.001). Overall, it is indicated that baseline UAR was independently correlated with long-term cardiac mortality in patients with UAP treated by PCI.

Neutrophil Counts, Neutrophil-to-Lymphocyte Ratio, and Systemic Inflammatory Response Index (SIRI) Predict Mortality after Off-Pump Coronary Artery Bypass Surgery

Background: Several perioperative inflammatory markers are postulated to be significant factors for long-term survival after off-pump coronary artery bypass surgery (OPCAB). Hematological parameters, whether single or combined as indices, provide higher predictive values. Methods: The study group comprised 538 consecutive patients (125 (23%) females and 413 (77%) males) with a mean age of 65 ± 9 years, who underwent OPCAB with a mean follow-up time of 4.7 ± 1.7 years. This single-center retrospective analysis included perioperative inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), aggregate index of systemic inflammation (AISI), and systemic inflammatory index (SII). Results: Multivariable analysis identified levels of neutrophils above 4.3 × 109/L (HR 13.44, 95% CI 1.05−3.68, p = 0.037), values of SIRI above 5.4 (HR 0.29, 95% CI 0.09−0.92, p = 0.036) and values of NLR above 3.5 (HR 2.21, 95% CI 1.48−3.32, p < 0.001) as being significant predictors of long-term mortality. The multifactorial models revealed the possibility of strong prediction by combining preoperative factors (COPD, stroke, PAD, and preoperative PLR) and postoperative neutrophil counts (p = 0.0136) or NLR (p = 0.0136) or SIRI (p = 0.0136). Conclusions: Among the postoperative inflammatory indices, the levels of neutrophils, NLR, and SIRI are the most prominent markers for long-term survival after off-pump coronary artery bypass surgery, when combined with preoperative characteristics.

Dietary and Physiological Effects of Zinc on the Immune System

Evidence for the importance of zinc for all immune cells and for mounting an efficient and balanced immune response to various environmental stressors has been accumulating in recent years. This article describes the role of zinc in fundamental biological processes and summarizes our current knowledge of zinc's effect on hematopoiesis, including differentiation into immune cell subtypes. In addition, the important role of zinc during activation and function of immune cells is detailed and associated with the specific immune responses to bacteria, parasites, and viruses. The association of zinc with autoimmune reactions and cancers as diseases with increased or decreased immune responses is also discussed. This article provides a broad overview of the manifold roles that zinc, or its deficiency, plays in physiology and during various diseases. Consequently, we discuss why zinc supplementation should be considered, especially for people at risk of deficiency. Expected final online publication date for the Annual Review of Nutrition, Volume 41 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Predictive value of neutrophil to lymphocyte ratio and red cell distribution width on death for ST segment elevation myocardial infarction

There are many clinical scoring criteria for predicting the risk of death in patients with acute ST-segment elevation myocardial infarction (STEMI), but most of the indicators are complex to calculate and are not suitable for use in primary hospitals. Neutrophil to lymphocyte ratio (NLR) and red cell distribution width (RDW) are blood routine indicators that are easy to obtain and may help primary hospitals to evaluate the risk of death in patients with STEMI. Our aim was to explore the predictive value of NLR combined with RDW in the long-term prognosis of patients with STEMI after emergency percutaneous coronary intervention (PCI). A total of 181 patients with STEMI who underwent emergency PCI in the Affiliated Hospital of Pu-tian University from January 2017 to August 2018 were selected. Clinical profile, prognosis of all patients were collected. P value < 0.05 was considered significant. In all patients, cardiovascular death during the follow-up period was defined as cardiovascular death group, and surviving during the follow-up period was defined as survival group. There were no significant differences in demography and comorbidities between the two groups. The differences between the two groups in NLR, RDW, C-reactive protein, N-terminal-pro B type natriuretic peptide were statistically significant (P < 0.01). Binary logistic regression analysis showed that NLR (OR = 1.122, 95% CI 1.041 ~ 1.210, P = 0.003) and RDW (OR = 1.288, 95% CI 1.126 ~ 1.472, P = 0.0005) were important predictors of mortality in patients with STEMI (P < 0.05). Kaplan-Meier analysis showed that as the NLR increased, the risk of death increased (P < 0.001). In conclusion, NLR and RDW are independent predictors of cardiovascular death in patients with STEMI, and they have a certain predictive value.