Dataset Information

Association between Neutrophil Percentage-to-Albumin Ratio and All-Cause Mortality in Critically Ill Patients with Coronary Artery Disease.

ABSTRACT:

Background

Neutrophil percentage-to-albumin ratio (NPAR) has been proved to be associated with clinical outcome of many diseases. This study was aimed at exploring the independent effect of NPAR on all-cause mortality of critically ill patients with coronary artery disease (CAD).

Method

NPAR was calculated as neutrophil percentage numerator divided by serum albumin concentration. Clinical endpoints were 30-day, 90-day, and 365-day all-cause mortality. Multivariable Cox proportional hazard models were performed to confirm the association between NPAR and all-cause mortality.

Result

3106 patients with CAD were enrolled. All-cause mortality rates of 30 days (P < 0.001), 90 days (P < 0.001), and 365 days (P < 0.001) increased as NPAR tertiles increased. And after adjusting for possible confounding variables, NPAR was still independently associated with 30-day (third tertile group versus first tertile group: HR, 95% CI: 1.924, 1.471-2.516; P for trend < 0.001), 90-day (third tertile group versus first tertile group: HR, 95% CI: 2.053, 1.646-2.560; P for trend < 0.001), and 365-day (third tertile group versus first tertile group: HR, 95% CI: 2.063, 1.717-2.480; P for trend < 0.001) all-cause mortality in patients with CAD. Subgroup analysis did not find obvious interaction in most subgroups.

Conclusion

NPAR was independently correlated with 30-day, 60-day, and 365-day all-cause mortality in critically ill patients with CAD.

SUBMITTER: Sun T

PROVIDER: S-EPMC7479485 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between Neutrophil Percentage-to-Albumin Ratio and All-Cause Mortality in Critically Ill Patients with Coronary Artery Disease.

Sun Tienan T Shen Hua H Guo Qianyun Q Yang Jiaqi J Zhai Guangyao G Zhang Jingrui J Zhang Biyang B Ding Yaodong Y Cai Chenghui C Zhou Yujie Y

BioMed research international 20200831

<h4>Background</h4>Neutrophil percentage-to-albumin ratio (NPAR) has been proved to be associated with clinical outcome of many diseases. This study was aimed at exploring the independent effect of NPAR on all-cause mortality of critically ill patients with coronary artery disease (CAD).<h4>Method</h4>NPAR was calculated as neutrophil percentage numerator divided by serum albumin concentration. Clinical endpoints were 30-day, 90-day, and 365-day all-cause mortality. Multivariable Cox proportiona ...[more]

PMID: 32934964

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Project description:BackgroundThe prevalence of type 2 diabetes mellitus (T2DM) remains high and biomarkers related to T2DM are needed to be investigated. This study aimed to investigate the association between neutrophil percentage-to-albumin ratio (NPAR) with all-cause mortality and the risk of cardiovascular disease (CVD) mortality in community-dwelling individuals with T2DM.MethodsThis prospective cohort study included 3602 adults aged 20 or above who were diagnosed with diabetes by the American Diabetes Association criteria in the US National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2016, and followed up until 2019. Multivariable Cox proportional hazards regression models were utilized to determine the relationship between NPAR with all-cause mortality and cardiovascular disease (CVD) mortality. Restricted cubic spline regression analyses were employed to explore the nonlinear relationship between NPAR and cardiovascular disease (CVD) mortality. The assessment of nonlinearity was conducted using the likelihood ratio test.ResultsAfter adjustment, the risk ratio for all-cause mortality in the highest NPAR group (≥ 15.40) compared to the lowest serum NPAR reference group (< 13.30) was 1.62 (95% CI, 1.36, 1.94) with P values < 0.001. Nevertheless, the risk ratio for cardiovascular disease (CVD) mortality in the highest NPAR group (≥ 15.40) versus the lowest serum NPAR reference group (< 13.30) was 1.41 (95% CI, 0.99, 2.00) with a P value of 0.06. Among patients with T2DM, serum NPAR levels exhibited a nonlinear correlation with both CVD mortality risk and all-cause mortality risk, with P values < 0.001 for both.ConclusionsThis study identified a significant association between elevated levels of the neutrophil percentage-to-albumin ratio (NPAR) and an increased risk of all-cause mortality among individuals with type 2 diabetes mellitus (T2DM). Conversely, no correlation was found between NPAR levels and CVD mortality.

Project description:IntroductionChronic inflammation is a recognized independent risk factor for cardiovascular disease (CVD), highlighting the need for reliable inflammatory indicator to predict CVDs. As an inflammatory indicator which has been proved to have predictive value for prognosis of CVDs, neutrophil percentage-to-albumin ratio (NPAR) has obtained increasing attention, but further research is needed to confirm the relationship with mortality in the general population.MethodThis prospective cohort study included 21,317 individuals who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, where baseline characteristics and NPAR level were extracted. Data for CVD and all-cause mortality were acquired by linking the cohort database with the National Death Index through December 31, 2019. We employed restricted cubic spline analyses to examine the nonlinear association. Weighted Kaplan-Meier curves with log-rank tests were conducted to access cumulative survival differences across different NPAR results. Multivariable Cox proportional hazards regression models were used to compute hazard ratios and 95% CIs. Receiver Operating Characteristic (ROC) curves were used to compare predictive value of NPAR with systemic immune inflammation index (SII) and neutrophils percent.ResultsIn this cohort study, during 270,014 person-years of follow-up, 4,074 all-cause deaths and 1,116 CVD-cause deaths were documented. NPAR levels exhibited significant nonlinear associations with both CVD-cause (P = 0.018 for nonlinearity) and all-cause mortality (P < 0.001 for nonlinearity). Participants in the highest NPAR tertile had a significantly increased risk of all-cause mortality (HR: 1.46, 95% CI: 1.33-1.61) and CVD-cause mortality (HR: 1.54, 95% CI: 1.32-1.80) compared to those in the lowest tertile in the fully adjusted model, while no association was detected for individuals in the middle tertile. Further ROC analysis confirmed that NPAR had higher predictive value than neutrophil percent segment and SII.ConclusionsElevated NPAR level was significantly associated with an increased risk of all-cause and CVD-cause mortality in general population. The high predictive value of NPAR, combined with the easy-to-calculate property, suggests that its potential as a novel inflammatory indicator is worthy of further investigation.

Project description:Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwide. Early identification of high-risk patients is crucial for timely interventions and improved outcomes. The lactate/albumin ratio (LAR) has been suggest as a significant correlate for assessing the risk of mortality in critically ill patients. This study aimed to utilize the American eICU Collaborative Research Database to explore the association between baseline LAR and all-cause mortality within 28 days in ICU of critically ill patients diagnosed with AMI. We conducted a retrospective cohort study of 989 AMI patients from the eICU Collaborative Research Database. Patients were included based on ICD-9 code 410 and the universal definition of AMI. LAR was calculated as the ratio of baseline lactate to albumin levels within the first 24 h of ICU admission. The outcome was all-cause mortality within 28 days after ICU admission. Multivariable logistic regression models were used to evaluate the independent association between LAR and the risk of death, adjusting for potential confounders including demographics, comorbidities, vital signs, and laboratory parameters. Subgroup analyses and nonlinear modeling were performed to further explore the relationship. Of the 989 AMI patients, 171 (17.3%) died within 28 days after ICU admission. Patients who died had significantly higher LAR compared to survivors (1.66 vs. 0.96, p < 0.001). Multivariable analysis showed that each unit increase in LAR was associated with a 2.15-fold higher risk of all-cause mortality within 28 days after ICU admission (95% CI: 1.64-2.83, p < 0.001). Subgroup analyses confirmed the consistent association across different patient characteristics. Nonlinear modeling revealed a threshold effect, where LAR above 2.15 was no longer significantly associated with mortality. Kaplan-Meier survival analysis demonstrated lower survival probabilities for patients with higher LAR(1.0526-5.8235). The findings suggest that a higher LAR was associated with an increased risk of 28-day all-cause mortality for critically ill patients with AMI after ICU admission.

Project description:There are no studies discussing the significance of neutrophil-to-lymphocyte ratio (NLR), neutrophil-percentage-to-albumin ratio (NPAR), and systemic immune-inflammation index (SII) in predicting poor prognosis in patients with metabolic dysfunction associated steatotic liver disease (MASLD); this study aimed to investigate the relationship between these three inflammatory markers and all-cause mortality and cardiovascular disease (CVD) mortality in patients with MASLD. Survival data for 3970 participants were obtained from National Death Index (NDI) records associated with the National Health and Nutrition Examination Survey (NHANES) dataset, the associations of NPAR, NLR, and SII with all-cause and CVD mortality were analyzed using multivariate COX regression modeling, restricted cubic spline (RCS) was used to explore nonlinear relationships and to determine the inflection point, regrouping was done according to the nonlinear inflection point, using multivariate COX regression modeling, subgroup analysis, and the Kaplan-Meier survival curves to evaluate differences in risk of death between the two groups. Time-dependent receiver operating characteristic curve (ROC) analysis was conducted to assess the predictive efficacy of NPAR, NLR, and SII on survival outcomes. Multivariate COX regression and RCS analyses revealed a positive linear correlation between NLR and all-cause and CVD mortality, whereas a nonlinear relationship was found between NPAR and SII and all-cause and CVD mortality. Further reclassified into two groups according to the inflection point, multivariate COX regression analyses showed a significant difference in the risk of death between the two NPAR groups (HR 1.37, 95% CI = (1.01, 1.86) for all-cause mortality and HR 2.03, 95% CI = (1.24, 3.32) for CVD mortality ) and no difference in the risk of death between the two SII groups (HR 1.11, 95% CI = (0.87, 1.42) for all-cause mortality and HR 1.35, 95% CI = (0.86, 2.12) for CVD mortality), and Kaplan-Meier survival curves showed that both all-cause and CVD mortality rates were higher in patients with MASLD above the NPAR inflection point (log-rank P < 0.05). Subgroup analyses showed that the associations between high levels of NPAR and all-cause mortality were generally consistent across populations (P interaction > 0.05). Also, COPD subgroups had a significant effect on the correlation between high levels of NPAR and CVD mortality (P interaction < 0.05). Time-dependent ROC show the predictive value of NPAR, NLR, and SII for all-cause and CVD mortality in MASLD patients. The correlation between NPAR and mortality was nonlinear, and NLR was linearly and positively correlated with mortality, Measuring NPAR and NLR may be useful in assessing risk and predicting prognosis in populations of patients with MASLD.

Dataset Information

Association between Neutrophil Percentage-to-Albumin Ratio and All-Cause Mortality in Critically Ill Patients with Coronary Artery Disease.

Background

Method

Result

Conclusion

Publications

Association between Neutrophil Percentage-to-Albumin Ratio and All-Cause Mortality in Critically Ill Patients with Coronary Artery Disease.

Similar Datasets

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