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Learn more: PMC Disclaimer | PMC Copyright Notice Anatol J Cardiol . 2025 Dec 15;30(4):225–234. doi: 10.14744/AnatolJCardiol.2025.5749 Search in PMC Search in PubMed View in NLM Catalog Add to search Association Between Neutrophil Percentage-to-Albumin Ratio and 2-Year Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement Serkan Aslan Serkan Aslan 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Serkan Aslan 1, ✉ , Ali Rıza Demir Ali Rıza Demir 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Ali Rıza Demir 1 , Gökhan Demirci Gökhan Demirci 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Gökhan Demirci 1 , Ümit Bulut Ümit Bulut 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Ümit Bulut 1 , Emre Aydın Emre Aydın 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Emre Aydın 1 , Merve Yükselen Aydın Merve Yükselen Aydın 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Merve Yükselen Aydın 1 , Gizemnur Coşkun Gizemnur Coşkun 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Gizemnur Coşkun 1 , Mehmet Altunova Mehmet Altunova 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Mehmet Altunova 1 , Serkan Kahraman Serkan Kahraman 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Serkan Kahraman 1 , Ali Kemal Kalkan Ali Kemal Kalkan 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Ali Kemal Kalkan 1 , Mehmet Ertürk Mehmet Ertürk 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye Find articles by Mehmet Ertürk 1 Author information Article notes Copyright and License information 1 Department of Cardiology, University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Türkiye ✉ Corresponding author: Serkan Aslan ✉ [email protected] Cite this article as: Aslan S, Demir AR, Demirci G, et al. Association between neutrophil percentage-to-albumin ratio and 2-year mortality in patients undergoing transcatheter aortic valve replacement. Anatol J Cardiol. 2026; 30(4) :225-234. Received 2025 Aug 20; Accepted 2025 Oct 22; Collection date 2026 Apr. 2026 authors Content of this journal is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. PMC Copyright notice PMCID: PMC13071560 PMID: 41395690 Abstract Background: Transcatheter aortic valve replacement (TAVR) is the standard therapy for severe aortic stenosis, particularly in elderly patients with comorbidities. Simple biomarkers to predict mid-term mortality are still needed. This study evaluated the prognostic value of the preprocedural neutrophil percentage-to-albumin ratio (NPAR) for 2-year all-cause mortality after TAVR. Methods: A total of 618 patients undergoing TAVR between 2013 and 2023 were retrospectively analyzed. NPAR was calculated as neutrophil percentage × 100 / albumin (g/dL), and patients were classified into tertiles. The prognostic role of NPAR was assessed using Cox regression, Kaplan–Meier survival analysis, and receiver operating characteristic curves. Results: Baseline characteristics were similar across tertiles, but higher NPAR was associated with elevated inflammation and lower albumin levels. In multivariable Cox analysis, high NPAR independently predicted 2-year mortality (T3 vs. T1: hazard ratio [HR] 2.75, 95% CI 1.77-4.28; P < .001). In a model including both categorical NPAR and Society of Thoracic Surgeons Predicted Risk of Mortality (STS-PROM), tertile 3 of NPAR (HR 2.49, 95% CI 1.61-3.85; P < .001) and STS-PROM (HR 1.31, 95% CI 1.12-1.53; P = .001) remained independent predictors, indicating incremental prognostic value of NPAR beyond established surgical risk scores. Kaplan–Meier curves showed the lowest survival in the highest tertile (35.9% mortality at 2 years). Receiver operating characteristic analysis confirmed NPAR had the best discriminatory ability (area under the curve = 0.703). Conclusion: Preprocedural NPAR is an independent, low-cost, and readily available biomarker for predicting mid-term mortality after TAVR. Its integration into risk models may improve prediction accuracy and help guide patient management. Keywords: Inflammation, mortality, neutrophils, prognostic value, serum albumin, transcatheter aortic valve replacement Highlights Neutrophil percentage-to-albumin ratio (NPAR) provides a simple and low-cost biomarker for risk stratification in transcatheter aortic valve replacement (TAVR) patients. Higher NPAR levels are independently associated with increased all-cause mortality over 2 years. This study is the first to demonstrate the prognostic utility of NPAR in the TAVR population. Neutrophil percentage-to-albumin ratio offers incremental prognostic value beyond STS-PROM, supporting its integration into existing risk models. Introduction Transcatheter aortic valve replacement (TAVR) is increasingly being used as an alternative to surgery in patients with severe symptomatic aortic stenosis. While current guidelines recommend TAVR for intermediate- and high-risk patients, studies demonstrating similar efficacy to surgery in low-risk groups have made it applicable to all risk groups. 1 - 4 While short-term procedural success rates are high thanks to increasing clinical experience and technological advancements, the observed mortality risk in the mid- and long-term remains a clinically significant problem. 5 - 9 In this context, predicting mortality risk with readily available, inexpensive, and reliable biomarkers before the procedure can contribute to personalized medical decisions in patient management. In recent years, hematological and biochemical markers reflecting the relationship between systemic inflammation, nutritional status, and mortality have attracted attention. 10 - 12 Neutrophil percentage and serum albumin are 2 important parameters that provide information about inflammatory burden and nutritional reserve, respectively. The neutrophil percentage-to-albumin ratio (NPAR), combining these markers, has been proposed as a holistic indicator of inflammation and general health status, and has been associated with poor prognosis in cardiovascular conditions such as acute myocardial infarction, heart failure, and cardiogenic shock. 13 - 15 In contrast to the neutrophil-to-albumin ratio (NAR), which relies on the absolute neutrophil count, NPAR incorporates neutrophil percentage together with serum albumin. This distinct calculation may yield different prognostic insights. To the authors’ knowledge, its prognostic relevance has never been explored in TAVR populations, positioning this study as the first to investigate this relationship. Therefore, this study aimed to investigate the relationship between NPAR and 2-year all-cause mortality, and to evaluate the clinical utility of NPAR in predicting mortality after TAVR. Methods Study Design and Population A retrospective analysis was performed on consecutive patients who underwent TAVR at this institution, a tertiary cardiac center, from February 2013 to June 2023. The study was conducted in accordance with the Declaration of Helsinki and approved by the Local Ethics Committee (Date: August 19, 2025; Decision No.: 2025.07-75). Inclusion criteria were as follows: (1) TAVR was performed with a diagnosis of symptomatic severe aortic stenosis, (2) preprocedural complete blood count (CBC) and biochemistry data were available, and (3) at least 2 years of follow-up data were available. Exclusion criteria included active infection, malignancy, autoimmune disease, hematological malignancy, or use of immunosuppressive therapy, chronic liver disease, and patients referred to another center during follow-up or missing mortality data. Finally, a total of 618 eligible patients were included in the study ( Figure 1 ). Figure 1. Open in a new tab Flowchart of the study population. Data Collection and Definitions Study data were collected retrospectively through the hospital information system and patient follow-up files. Demographic characteristics (age, gender), comorbidities (hypertension, diabetes mellitus, coronary artery disease, peripheral artery disease, atrial fibrillation, stroke history), echocardiographic parameters (left ventricular ejection fraction [LVEF], aortic valve area, systolic pulmonary artery pressure [sPAP]), and preprocedure laboratory data (CBC, biochemistry, inflammatory markers) were systematically recorded. Laboratory Analysis and Neutrophil Percentage-to-Albumin Ratio Calculation All blood samples were collected within 24 hours before the TAVR procedure. Neutrophil percentage and serum albumin levels were measured from the same sample. Neutrophil percentage-to-albumin ratio, the ratio of these 2 variables, was calculated using the following formula: NPAR = Neutrophil percentage (%) × 100 / Albumin (g/dL). Neutrophil percentage-to-albumin ratio values were divided into 3 tertiles for use in statistical analyses in the study: low NPAR (Tertile 1), medium NPAR (Tertile 2), and high NPAR (Tertile 3). Transcatheter Aortic Valve Replacement Procedure All patients were thoroughly evaluated by a multidisciplinary cardiac team and considered candidates for TAVR after being determined to be at high risk for valve surgery. All TAVR procedures were performed in a fully equipped hybrid operating room using a transfemoral approach. The method of anesthesia (local or general) was made at the discretion of the operator and the anesthesiologist, considering the clinical indications. Valve type and size were determined according to manufacturer recommendations based on computed tomography and echocardiography findings. The following transcatheter valve designs were used: CoreValve Evolut R (Medtronic, Minneapolis, Minn, USA), Portico (St. Jude Medical, St. Paul, Minneapolis, Minn, USA), Acurate neo2 (Boston Scientific, Marlborough, MA, USA), Sapien XT/Sapien 3 (Edwards Lifesciences, Irvine, California, USA), and Myval (Meril Life Sciences Private Ltd., Gujarat, India). Predilation of the native aortic valve was performed at the operator’s discretion. Postdilation under rapid pacing was considered in cases of moderate or severe paravalvular aortic regurgitation and/or underdilatation of the prosthesis. A percutaneous closure system (Perclose ProGlide; Abbott Laboratories, Abbott Park, Illinois) was used to close the vascular access site. A temporary pacemaker was placed as a backup for high-degree atrioventricular (AV) block when necessary. Postprocedural care was conducted in accordance with current guidelines. 1 , 2 Follow-Up and Clinical Endpoints Patients were followed up at outpatient clinic visits and by telephone when necessary. Death information was verified with the National Death Notification System and hospital records. All clinical endpoints were defined according to Valve Academic Research Consortium-3 (VARC-3) criteria. 16 The primary endpoint was 2-year all-cause mortality after TAVR. Secondary endpoints included 30-day stroke, major vascular complications, bleeding, acute kidney injury, myocardial infarction, and new permanent pacemaker implantation. Statistical Analysis All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS) version 24 software package (SPSS Inc., Chicago, Illinois, USA). The normality of distribution of continuous variables was evaluated using both graphical (histograms) and numerical methods. Among numerical tests, both Kolmogorov–Smirnov and Shapiro–Wilk tests were performed to ensure robustness. As each group included more than 200 patients, the Kolmogorov–Smirnov test was considered more appropriate for evaluating normality. One-way ANOVA was used for normally distributed data, and the Kruskal–Wallis test was used for non-normally distributed data. Comparisons between categorical data were made using the Chi-square or Fisher’s exact test. Continuous variables are presented as mean ± SD or median and interquartile range. Categorical variables are expressed as numbers (percentages). The predictive power of NPAR, neutrophil percentage, and albumin levels for mortality was assessed using receiver operating characteristic (ROC) curve analysis. The area under the curve (AUC) for each parameter was calculated and reported with its 95% CI. The optimal cut-off value of NPAR for predicting 2-year all-cause mortality was determined using the Youden index. Comparisons between ROC curves were performed using the DeLong test. All-cause survival time was analyzed using the Kaplan–Meier method, and survival curves were plotted for the 3 NPAR groups. The difference between the groups was assessed using the log-rank test. Median survival time and event incidence rates were calculated separately for 30 days, 1 year, and 2 years. Cox proportional hazards regression analyses were performed to identify independent risk factors associated with 2-year mortality. Analyses were performed as follows: Univariable analysis for all available variables; Multivariable Model 1, including demographic, clinical, and laboratory variables with P < .10 in univariable analysis; and Multivariable Model 2, including Society of Thoracic Surgeons Predicted Risk of Mortality (STS-PROM) and categorical NPAR simultaneously to avoid multicollinearity with individual variables incorporated within STS-PROM. The model results are presented with hazard ratio (HR) and 95% CI. Statistical significance was set at P < .05. Results Demographic and Clinical Characteristics A total of 618 patients were included in this study. Demographic characteristics, comorbidities, laboratory, and echocardiographic parameters were compared among the 3 tertiles established according to NPAR ( Table 1 ). The mean age was 78.5 ± 7.0 years, and 41.9% of the patients were male. The most common comorbidities were hypertension (76.4%), coronary artery disease (69.1%), and diabetes mellitus (45.1%). Demographic data and comorbidities were similar between the groups ( P > .05). However, laboratory findings revealed that as NPAR increased, the neutrophil percentage increased, while albumin levels decreased ( P < .001 for both). White blood cell and neutrophil counts were highest in the T3 group ( P = .032 and P < .001), while the lymphocyte count was inversely proportional ( P < .001). Hemoglobin levels were lowest in the T3 group ( P < .001). The difference between groups for C-reactive protein (CRP) and creatinine was not statistically significant. Left ventricular ejection fraction and sPAP differed significantly with NPAR ( P = .001 and P = .041). Table 1. Baseline Characteristics According to Neutrophil Percentage-to-Albumin Ratio Tertiles Variables Neutrophil Percentage-to-Albumin Ratio P Total (n = 618) Tertile 1 ≤14 (n = 206) Tertile 2 14-20 (n = 206) Tertile 3 ≥20 (n = 206) Age (years) 78.50 ± 7.03 78.05 ± 7.46 78.39 ± 7.01 79.05 ± 6.61 .342 Sex (male), n (%) 259 (41.9) 87 (42.2) 83 (40.3) 89 (43.2) .830 Comorbidities, n (%) Hypertension 472 (76.4) 165 (80.1) 154 (74.8) 153 (74.3) .303 Diabetes mellitus 279 (45.1) 94 (45.6) 85 (41.3) 100 (48.5) .327 Coronary artery disease 427 (69.1) 149 (72.3) 138 (67.0) 140 (68.0) .458 Previous CABG 127 (20.6) 50 (24.3) 38 (18.4) 39 (18.9) .268 Peripheral artery disease 114 (18.4) 37 (18.0) 35 (17.0) 42 (20.4) .657 Chronic lung disease 196 (31.7) 59 (28.6) 66 (32.0) 71 (34.5) .443 Chronic kidney disease 169 (27.3) 50 (24.3) 55 (26.7) 64 (31.1) .292 Previous Stroke/TIA 35 (5.7) 13 (6.3) 9 (4.4) 13 (6.3) .616 Paroxysmal or persistent atrial fibrillation 118 (19.1) 31 (15.0) 39 (18.9) 48 (23.3) .103 Prior pacemaker 20 (3.2) 5 (2.4) 9 (4.4) 6 (2.9) .511 STS-PROM score: mortality (%) 6.22 ± 0.80 6.12 ± 0.76 6.18 ± 0.90 6.35 ± 0.71 .010 Laboratory parameters Neutrophil percentage, % 63.1 ± 10.4 53.1 ± 7.2 63.5 ± 5.7 72.6 ± 7.1 <.001 Albumin, g/dL 3.90 ± 0.41 4.14 ± 0.33 3.96 ± 0.33 3.61 ± 0.38 <.001 NPAR 16.38 ± 3.51 12.83 ± 1.54 16.04 ± 0.75 20.28 ± 2.51 <.001 White blood cell, 10 9 /L 7.54 ± 3.31 7.31 ± 2.52 7.28 ± 2.23 8.04 ± 4.62 .032 Hemoglobin, g/dL 11.35 ± 1.64 11.60 ± 1.57 11.54 ± 1.61 10.90 ± 1.66 <.001 Neutrophil, 10 9 /L 4.87 ± 2.98 4.28 ± 1.89 4.63 ± 1.49 5.69 ± 4.45 <.001 Lymphocyte, 10 9 /L 1.82 ± 1.23 2.17 ± 1.50 1.79 ± 1.28 1.49 ± 0.65 <.001 CRP, mg/L 6.5 (16.2) 4.0 (8.1) 6.0 (17.1) 11 (17.1) .314 Creatine, mg/dL 1.14 ± 0.65 1.10 ± 0.60 1.11 ± 0.77 1.21 ± 0.54 .138 Total cholesterol, mg/dL 156 ± 73 160 ± 73 150 ± 76 156 ± 69 .467 Echocardiographic parameters LVEF (%) 60 (14) 60 (10) 60 (10) 55 (20) .001 Aortic valve area (cm 2 ) 0.72 ± 0.16 0.73 ± 0.18 0.72 ± 0.14 0.70 ± 0.15 .268 Maximum aortic gradient (mm Hg) 77.27 ± 32.94 80.76 ± 47.60 76.71 ± 23.53 74.39 ± 20.74 .147 Mean aortic gradient (mm Hg) 48.12 ± 13.38 49.21 ± 13.49 47.73 ± 13.37 47.41 ± 13.27 .357 Aortic peak systolic velocity (m/s) 4.33 ± 0.61 4.37 ± 0.48 4.35 ± 0.68 4.27 ± 0.64 .362 Systolic pulmonary arterial pressure 42 ± 13.82 42.67 ± 14.25 40.72 ± 13.81 44.67 ± 13.26 .041 Open in a new tab Continuous variables are presented as mean ± SD or median (interquartile range). Categorical variables are presented as number (percentage). CABG, coronary artery bypass grafting; CRP, C-reactive protein; LVEF, left ventricular ejection fraction; NPAR, neutrophil-percentage-to-albumin ratio; STS, Society of Thoracic Surgeons; TIA, transient ischemic attack. Procedural Characteristics and Clinical Outcomes A total of 66.8% of patients underwent TAVR under conscious sedation, and these rates were similar between the groups. There were no significant differences in procedure time, contrast amount, or the intensive care unit stay ( P > .05). However, the length of hospitalization was longer in the high NPAR group (median 9 days; P = .024). No differences were observed between the groups in terms of valve type, size, or gradients. Clinical outcome data are summarized in Table 2 . Significant increases in 30-day, 1-year, and 2-year mortality rates were observed with increasing NPAR levels ( P = .006, P < .001, P < .001, respectively). Cardiovascular mortality was similarly associated with NPAR ( P = .006). There were no significant differences in secondary endpoints. Table 2. Procedural Characteristics and Primary/Secondary Clinical Outcomes According to Neutrophil Percentage-to-Albumin Ratio Tertiles Variables Neutrophil Percentage-to-Albumin Ratio P Total (n = 618) Tertile 1 ≤14 (n = 206) Tertile 2 14-20 (n = 206) Tertile 3 ≥20 (n = 206) Procedural characteristics, n (%) Conscious sedation 413 (66.8) 136 (66.0) 143 (69.4) 134 (65.0) .613 Procedure time*, min 71 (35) 73 (39) 72 (36) 70 (34) .573 Total contrast used (mL) 150 (90) 150 (88) 150 (94) 150 (90) .386 ICU stay, days 2 (3) 2 (3) 2 (3) 2 (4) .357 Discharge time, days 8 (7) 7 (5) 7 (6) 9 (5) .024 Valve type, self 273 (44.2) 91 (44.2) 82 (39.8) 100 (48.5) .203 Valve size 26.36 ± 2.82 26.41 ± 2.68 26.13 ± 2.83 26.56 ± 2.82 .283 Primary outcomes, n (%) 30-day mortality 46 (7.4) 9 (4.4) 12 (5.8) 25 (12.1) .006 1-year mortality 107 (17.3) 17 (8.3) 35 (17.0) 55 (26.7) <.001 2-year mortality 147 (23.8) 28 (13.6) 45 (21.8) 74 (35.9) <.001 Secondary outcomes, n (%) Cardiovascular mortality 76 (12.3) 16 (7.8) 23 (11.2) 37 (18.0) .006 All stroke 18 (2.9) 4 (1.9) 5 (2.4) 9 (4.4) .143 Bleeding and transfusions (≥Type 2) 138 (22.3) 51 (24.8) 47 (22.8) 40 (19.4) .420 Major vascular and access-related complications 48 (7.8) 21 (10.2) 13 (6.3) 14 (6.8) .276 Moderate or severe aortic regurgitation 20 (3.3) 7 (3.4) 5 (2.5) 8 (3.9) .708 Acute kidney injury stage 3 or 4 24 (3.9) 4 (1.9) 7 (3.4) 13 (6.3) .065 Myocardial infarction 6 (1.0) 2 (1.0) 1 (0.5) 3 (1.5) .616 New permanent pacemaker 105 (17.0) 36 (17.5) 38 (18.4) 31 (15.0) .639 Open in a new tab Continuous variables are presented as mean ± SD or median (interquartile range). Categorical variables are presented as number (percentage). ICU, intensive care unit. Predictors of Mortality In the multivariable Cox proportional hazards regression analysis, 2 separate models were constructed ( Table 3 ): Model 1: including demographic, clinical, and laboratory variables with P < .10 in univariable analysis (excluding STS-PROM). In this model, categorical NPAR remained an independent predictor of 2-year all-cause mortality. The risk of mortality was significantly higher in individuals in Tertile 3 compared to Tertile 1 (HR: 2.75; 95% CI: 1.77-4.28; P < .001). The increase in Tertile 2 showed borderline significance (HR: 1.59; 95% CI: 0.99-2.55; P = .055). Peripheral arterial disease (HR: 1.52; 95% CI: 1.03-2.25; P = .034) and serum creatinine level (HR: 1.26; 95% CI: 1.05-1.50; P = .011) were also independent factors increasing the risk of mortality. In contrast, previous CABG history was identified as an independent protective factor reducing mortality risk (HR: 0.52; 95% CI: 0.32-0.84; P = .009). Model 2: including both categorical NPAR and STS-PROM. In this model, STS-PROM was independently associated with 2-year mortality (HR: 1.31; 95% CI: 1.12-1.53; P = .001). Among the NPAR categories, patients in Tertile 3 had a significantly higher risk of 2-year mortality compared with Tertile 1 (HR: 2.49; 95% CI: 1.61-3.85; P < .001), while Tertile 2 showed only a borderline association (HR: 1.55; 95% CI: 0.96-2.49; P = .068). These findings indicate that NPAR provides incremental prognostic value beyond STS-PROM, primarily driven by the highest NPAR tertile. Table 3. Univariable and Multivariable Cox Proportional Hazards Regression Analyses of 2-Year All-Cause Mortality Variables Univariable analysis HR (95% CI) P Age (years) 1.01 (0.99-1.04) .131 Sex (male) 1.29 (0.93-1.78) .119 Hypertension 0.80 (0.55-1.15) .231 Diabetes mellitus 1.23 (0.89-1.70) .199 Coronary artery disease 0.83 (0.59-1.17) .304 Previous CABG 0.56 (0.35-0.90) .018 Peripheral artery disease 1.39 (0.94-2.04) .091 Chronic lung disease 1.17 (0.83-1.64) .365 Chronic kidney disease 1.84 (1.32-2.56) <.001 Previous Stroke/TIA 1.48 (0.82-2.68) .188 Paroxysmal or persistent atrial fibrillation 1.01 (0.67-1.52) .959 Prior pacemaker 0.37 (0.09-1.50) .164 STS-PROM score 1.33 (1.15-1.54) <.001 LVEF 0.98 (0.97-0.99) .007 Systolic pulmonary arterial pressure 1.01 (0.99-1.02) .137 Neutrophil percentage 1.04 (1.02-1.05) <.001 Albumin 0.27 (0.19-0.40) <.001 NPAR <.001 Tertile 1 1.0 (reference) Tertile 2 1.68 (1.05-2.70) .030 Tertile 3 3.08 (1.99-4.76) <.001 White blood cell 1.00 (0.95-1.05) .902 Hemoglobin 0.92 (0.83-1.01) .106 CRP 1.00 (1.00-1.01) .067 Creatine 1.32 (1.12-1.55) .001 Total cholesterol 1.00 (0.99-1.00) .946 Valve type, self 1.17 (0.85-1.62) .331 Conscious sedation 0.79 (0.56-1.10) .171 Variables Multivariable analysis Model 1 for NPAR and clinical variables Model 2 for NPAR and STS-PROM HR (95% CI) P HR (95% CI) P Previous CABG 0.52 (0.32-0.84) .009 Peripheral artery disease 1.52 (1.03-2.25) .034 LVEF 0.98 (0.97-1.00) .080 CRP 1.00 (0.99-1.01) .335 Creatine 1.26 (1.05-1.50) .011 NPAR, categorical <.001 <.001 Tertile 1 1.0 (reference) Tertile 2 1.59 (0.99-2.55) .055 1.55 (0.96-2.49) .068 Tertile 3 2.75 (1.77-4.28) <.001 2.49 (1.61-13.85) <.001 STS-PROM score 1.31 (1.12-1.53) .001 Open in a new tab CABG, coronary artery bypass grafting; CRP, C-reactive protein; HR, hazard ratio; LVEF, left ventricular ejection fraction; NPAR, neutrophil-percentage-to-albumin ratio; STS, Society of Thoracic Surgeons; TIA, transient ischemic attack. Survival Analysis Kaplan–Meier survival curves for 2-year all-cause mortality showed a significant difference in survival between NPAR tertiles ( Figure 2 ). Patients in the highest tertile (Tertile 3) had the lowest cumulative survival, while those in the lowest tertile (Tertile 1) had the highest probability of survival. Event rates at the end of follow-up were 13.6%, 21.8%, and 35.9% for Tertiles 1, 2, and 3, respectively. Median survival time decreased to 666.0 days (95% CI: 640.5-691.5) in Tertile 1, 617.2 days (95% CI: 584.7-649.7) in Tertile 2, and 535.5 days (95% CI: 495.4-575.5) in Tertile 3. According to the log-rank test, there was a statistically significant difference in survival distributions between NPAR tertiles ( P < .001). Figure 2. Open in a new tab Kaplan–Meier curves of 2-year all-cause mortality according to NPAR tertiles. NPAR, neutrophil percentage-to-albumin ratio. Receiver Operating Characteristic Curve Analysis The predictive power of NPAR, albumin, and neutrophil percentage for all-cause mortality was evaluated using ROC analyses. The ROC curves of the 3 variables are presented together in Figure 3 . Receiver operating characteristic analysis yielded an AUC of 0.703, with an optimal cut-off value of NPAR = 16.07 (sensitivity 75.5%, specificity 58.2%) for predicting 2-year all-cause mortality ( P < .001). The AUC for neutrophil percentage and albumin was 0.634 and 0.668, respectively, while NPAR showed the highest AUC (0.703) and was superior to both markers in predicting mortality (DeLong test, P < .05). These results indicate that NPAR provides moderate but superior discriminatory ability compared with traditional parameters. Figure 3. Open in a new tab Receiver operating characteristic curves showing the predictive value of NPAR, neutrophil percentage, and albumin for the prediction of 2-year all-cause mortality. AUC for NPAR = 0.703, 95% CI 0.655-0.751, P < .001; AUC for neutrophil percentage = 0.634, 95% CI 0.582-0.685, P < .001; AUC for albumin = 0.668, 95% CI 0.616-0.719, P < .001. AUC, area under the curve; NPAR, neutrophil percentage-to-albumin ratio. Discussion This is the first study to evaluate the relationship between preprocedural NPAR and all-cause mortality in patients undergoing TAVR. Mortality rates were observed to gradually increase with increasing NPAR values. Receiver operating characteristic curve analysis demonstrated that NPAR had a higher predictive value than albumin levels and neutrophil percentage. Multivariable Cox regression analysis demonstrated that elevated NPAR was independently associated with mortality. These results suggest that NPAR can be used as a simple, inexpensive, and accessible prognostic marker in TAVR patients. Neutrophil percentage is one of the main cellular components involved in the acute phase response to inflammation. Neutrophils are known to play a central role in the triggering of cardiovascular events and contribute to endothelial dysfunction and atherothrombotic processes. 17 - 20 A strong correlation has been demonstrated between elevated neutrophil percentage and mortality, particularly in conditions such as acute myocardial infarction, cardiogenic shock, and heart failure. 13 - 15 , 21 , 22 Excessive activation of neutrophils can increase myocardial damage through the release of inflammatory cytokines and procoagulant effects. On the other hand, serum albumin level is an important indicator of chronic inflammation, malnutrition, and liver function. Hypoalbuminemia has been associated with an increased risk of mortality in elderly patients and has been used as an independent prognostic marker in various cardiovascular conditions. 23 - 25 The antioxidant and anti-inflammatory properties of albumin play an important role in maintaining vascular integrity. Therefore, a decrease in albumin level may indicate advanced systemic inflammation and decreased physiological reserve. Neutrophil percentage-to-albumin ratio is the combination of these 2 parameters and is a composite biomarker that simultaneously reflects systemic inflammation, as indicated by neutrophil percentage, and nutritional/immune reserve, as indicated by albumin level. The patient group undergoing TAVR generally consists of individuals with advanced age, a high comorbidity burden, and increased frailty. In this patient group, postoperative outcomes and prognosis are closely related not only to the correction of valvular pathology but also to parameters such as systemic inflammatory burden and nutritional status. Previous studies have investigated the prognostic role of other inflammation-based indices in TAVR populations. For example, both the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio have been associated with increased mortality and adverse cardiovascular events after TAVR, suggesting that systemic inflammation plays a central role in determining outcomes. 10 , 26 Similarly, the C-reactive protein/albumin ratio has been linked with poor prognosis, emphasizing the combined importance of inflammatory burden and nutritional reserve. 27 Taken together, these findings support the utility of composite biomarkers that integrate different biological dimensions. The current results with NPAR are consistent with this line of evidence, reinforcing the prognostic significance of systemic inflammation and nutritional status in TAVR patients. It is important to distinguish NPAR from the NAR. While NAR uses the absolute neutrophil count, NPAR is derived from neutrophil percentage in combination with serum albumin. 28 This methodological difference may influence its prognostic implications, as percentage-based indices may better capture relative leukocyte distribution in systemic inflammation. To date, no study has evaluated NPAR in TAVR patients, making this work the first to address this gap in the literature. Importantly, in a dedicated model including both STS-PROM and NPAR, each variable remained independently associated with mortality, suggesting that NPAR provides incremental prognostic information beyond established surgical risk scores. This study showed that as NPAR levels increased, 30-day, 1-year, and 2-year mortality rates increased significantly. Furthermore, Kaplan–Meier survival analysis revealed significantly shorter survival in the higher NPAR tertile. These findings suggest that NPAR is a strong predictor of clinical outcomes after TAVR. Kaplan–Meier survival analysis further confirmed that high NPAR levels were associated with significantly increased 2-year all-cause mortality. The approximately 22% difference in mortality rates across tertiles and the median survival time exceeding 130 days suggest that NPAR is a strong predictor of clinical outcome after TAVR. In this study, patients with elevated NPAR experienced longer hospital stays following TAVR. This observation may reflect underlying biological mechanisms linking inflammation and frailty to adverse perioperative outcomes. Elevated systemic inflammation can impair wound healing and increase vulnerability to complications, while low albumin levels may signal impaired nutritional reserve and reduced physiological resilience. 23 - 25 Furthermore, frailty—a common feature in elderly TAVR candidates—may exacerbate these effects, contributing to delayed convalescence and extended hospitalization. Taken together, these findings suggest that NPAR not only predicts long-term mortality but may also be associated with short-term clinical trajectories, underscoring its potential relevance for perioperative management. In the ROC analysis, the AUC value for NPAR (0.703) indicates moderate predictive power, which is higher than its individual components, such as albumin (0.668) and neutrophil percentage (0.634). This finding suggests that composite markers such as NPAR may have stronger prognostic capacity than individual laboratory parameters, consistent with previous reports in patients with coronary artery disease and heart failure. 13 , 15 , 29 The ROC-derived threshold further supports the potential clinical applicability of NPAR, although its discriminatory ability remains moderate and should be interpreted with caution. While tertile-based categorization enabled exploratory risk stratification, the ROC cut-off provides a more practical benchmark for potential clinical use. In multivariable Cox regression analysis, elevated NPAR remained an independent predictor of 2-year all-cause mortality, even after adjusting for classical risk factors such as age, LVEF, creatinine, and peripheral artery disease. Patients in the Tertile 3 group, in particular, had a 2.75-fold higher risk of mortality compared to the reference group (HR: 2.75; 95% CI: 1.77-4.28; P < .001). This finding highlights the robustness of NPAR as a prognostic marker and supports its potential integration into existing risk scoring systems. Additionally, high creatinine levels and peripheral artery disease negatively impacted survival, indicating that systemic vascular health plays a decisive role in prognosis after TAVR. Interestingly, prior CABG has been identified as a protective factor in terms of mortality. This suggests that myocardial perfusion achieved through revascularization may have a favorable contribution to mid-term prognosis. Importantly, in the current analysis, STS-PROM emerged as a significant predictor of mortality, consistent with prior literature. 30 To account for potential multicollinearity, a dedicated model including both STS-PROM and categorical NPAR was constructed. In this model, each variable remained independently associated with 2-year mortality, suggesting that NPAR provides incremental prognostic information beyond STS-PROM. This finding highlights the potential value of incorporating NPAR alongside established surgical risk scores in clinical decision-making. Risk assessment in TAVR patients has traditionally relied on scores such as STS-PROM and EuroSCORE II, developed for surgical populations and currently widely used. 31 - 33 The STS-PROM score does include measurements of Hb, WBC, and platelet count in addition to a myriad of clinical characteristics, highlighting that these blood markers are important prognostic tools in the preoperative workup. In recent years, it has been demonstrated that inflammation-based indices such as NLR and platelet-to-lymphocyte ratio (PLR) can provide prognostic value equivalent to or even superior to established risk scores. 10 , 26 , 34 Consistent with these findings, the current study demonstrated that NPAR, which reflects both systemic inflammation and nutritional reserve, has prognostic value independent of STS-PROM. Neutrophil percentage-to-albumin ratio is an easily accessible and cost-effective indicator that can be calculated using standard biochemical parameters, providing an additional advantage in clinical practice. Integrating this parameter into risk models may contribute to more accurate identification and close monitoring of patients, particularly those with frailty or a high inflammatory burden. The prognostic value of NPAR has been previously demonstrated in acute myocardial infarction, congestive heart failure, cardiogenic shock, and intensive care populations, and the current study extends this knowledge specifically to TAVR patients. 14 , 21 , 22 , 35 , 36 In conclusion, these findings suggest that NPAR is an independent marker and may enhance the accuracy of prognostication in TAVR populations by complementing existing risk scores and clinical variables. Study Limitations This study has several limitations. First, due to its retrospective design, a causal relationship cannot be established. Second, it was conducted at a single center with a limited patient population, which may affect the generalizability of the results. In addition, the long inclusion period (2013-2023) coincided with significant advances in TAVR technology and practice that could have influenced outcomes. Moreover, other markers of inflammation [e.g., CRP, interleukin (IL)-6, tumor necrosis factor-α (TNF-α)] were not included, preventing a comprehensive evaluation of inflammatory processes. Finally, patients with malignancy or autoimmune disease were excluded, although they constituted only a relatively small subgroup. This exclusion was necessary to minimize potential confounding effects of systemic inflammation or cachexia on NPAR values and is therefore unlikely to have significantly impacted the overall findings. Nevertheless, the large patient number, mid-term follow-up period, and adjustment for numerous potential confounding factors represent important strengths of this study. Future Directions Future studies should aim to further evaluate the prognostic value of NPAR and support its integration into clinical decision-making. In particular, temporal changes in NPAR should be monitored, and their association with short- and mid-term outcomes after TAVR should be clarified. Moreover, randomized controlled trials assessing the impact of preoperative interventions targeting inflammation and nutritional optimization on survival in patients with high NPAR levels are warranted. Combining NPAR with existing risk scoring systems to develop novel prognostic models could further enhance individualized patient management. In conclusion, this study demonstrates that NPAR is an independent, accessible, and low-cost biomarker for predicting mid-term all-cause mortality in patients undergoing TAVR. Incorporating NPAR into routine clinical assessment could help refine risk stratification and guide postprocedural management in this growing patient population. Funding Statement The authors declare that this study received no financial support. Footnotes Ethics Committee Approval: The study protocol was approved by the University of Health Sciences İstanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital Ethics (Committee date: August 19, 2025; Decision no: 2025.07-75). Informed Consent: As this was a retrospective study, no informed consent was obtained from the patients. Peer-review: Externally peer-reviewed. Author Contributions: Concept – S.A., M.E.; Design – S.A., A.R.D., M.E.; Supervision – A.K.K., M.E.; Resources – S.A., G.D.; Materials – A.R.D., G.D.; Data Collection and/or Processing – E.A., M.Y.A., G.C.; Analysis and/or Interpretation – S.A., A.R.D., S.K.; Literature Search – S.A., Ü.B., M.A.; Writing – S.A.; Critical Review – S.K., M.E. Declaration of Interests: The authors have no conflicts of interest to declare. 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( 10.1155/2020/8137576) [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Articles from Anatolian Journal of Cardiology are provided here courtesy of Turkish Society of Cardiology ACTIONS View on publisher site PDF (960.2 KB) Cite Collections Permalink PERMALINK Copy RESOURCES Similar articles Cited by other articles Links to NCBI Databases Cite Copy Download .nbib .nbib Format: AMA APA MLA NLM Add to Collections Create a new collection Add to an existing collection Name your collection * Choose a collection Unable to load your collection due to an error Please try again Add Cancel Follow NCBI NCBI on X (formerly known as Twitter) NCBI on Facebook NCBI on LinkedIn NCBI on GitHub NCBI RSS feed Connect with NLM NLM on X (formerly known as Twitter) NLM on Facebook NLM on YouTube National Library of Medicine 8600 Rockville Pike Bethesda, MD 20894 Web Policies FOIA HHS Vulnerability Disclosure Help Accessibility Careers NLM NIH HHS USA.gov Back to Top