Abstract
Background
Patients undergoing transcatheter aortic valve implantation (TAVI) often have multiple comorbidities, such as anaemia and chronic inflammatory disorders. We sought to investigate the association between preoperative and postoperative haematological parameters and clinical outcomes in TAVI patients at mid-term follow-up.
Methods
In the present study, consecutive patients (N=908) who underwent TAVI at the Cleveland Clinic between 2017 and 2019 with available complete blood counts were studied. Data were collected on preoperative and postoperative anaemia and elevations in neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). Survival analysis was used to study the association of haematologic parameters with all-cause mortality and major adverse cardiac and cerebrovascular events (MACCE).
Results
We found that preoperative anaemia and elevated NLR were significantly associated with a higher risk of all-cause mortality (aHR=1.6 (95% CI: 1.1 to 2.0) and 1.4 (95% CI: 1.1 to 1.6), respectively) and MACCE (aHR=1.9 (95% CI: 1.3 to 2.8) and 1.6 (95% CI: 1.1 to 2.4), respectively). While an elevated preoperative PLR was not associated with increased mortality risk, it had a significant association with MACCE risk (aHR: 1.6 (95% CI: 1.1 to 2.4)). Further, postoperative anaemia, elevated NLR and PLR were associated with increased risks of all-cause mortality and MACCE.
Conclusion
Pathological alterations in haematological parameters were associated with higher risks of post-TAVI mortality and MACCE at mid-term follow-up. Our findings advocate for further incorporating haematological parameters in the preoperative evaluation of TAVI candidates.
Keywords: Aortic Valve Stenosis, Heart Valve Diseases, Heart Valve Prosthesis
WHAT IS ALREADY KNOWN ON THIS TOPIC.
Inflammation plays a role in the pathogenesis of calcific aortic valve disease and has been linked to worse outcomes after transcatheter aortic valve implantation (TAVI).
WHAT THIS STUDY ADDS
The study explores the relationship between pathological alterations in haematological parameters and poor TAVI outcomes at 4-year of follow-up.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
The study advocates for a larger role for haematological parameters in the preoperative evaluation of TAVI candidates.
Introduction
Since its introduction, transcatheter aortic valve implantation (TAVI) has changed the approach to the management of patients with severe aortic stenosis (AS).1 Patients undergoing TAVI are generally of advanced age with multiple comorbidities, such as anaemia, diabetes mellitus and chronic kidney disease. Several studies have been undertaken to understand the prognostic value of different comorbidities and biomarkers on TAVI outcomes.2 3 For instance, former studies have shown that preoperative anaemia is associated with an increased risk of post-TAVI mortality and adverse clinical outcomes.4 5
As inflammation plays a pivotal role in the pathogenesis and outcomes of calcific aortic valve disease,6–8 markers reflecting high inflammatory states have been studied in patients undergoing TAVI. Earlier studies have reported that proinflammatory markers as C-reactive protein and interleukin-16 as well as lower Th2 cell counts can predict the risk of mortality after TAVI. These markers, however, are not routinely measured in the preoperative evaluation and can be expensive to quantify.9 10 Emerging markers of proinflammatory responses that can be calculated from routine preoperative tests such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been recently evaluated in TAVI patients.11–13 Previous studies have suggested possible roles for neutrophils in the pathogenesis of AS. These include the release of elastase enzymes and neutrophil extracellular traps, promoting inflammation, calcification and apoptosis of endothelial cells.14–17 In addition, platelets have long been considered as an acute phase reactant of inflammatory responses. Therefore, elevated neutrophils and platelet counts may contribute to or signify an underlying inflammatory process, supporting the rationale behind measuring those markers.
However, the prognostic role of these markers is not yet established, as the studies on their association with TAVI outcomes have shown inconsistent results.18–20 Moreover, data on their prognostic utility beyond 1-year of follow-up are limited. The present study was conducted to assess the prognostic role of preoperative and postoperative haematological parameters, including anaemia, and elevated NLR and PLR, in patients undergoing TAVI at mid-term follow-up; figure 1.
Figure 1.
A central illustration of the main findings in the present study. MACCE, major adverse cardiovascular and cerebrovascular events; NLR, neutrophil-to-lymphocyte ratio.
Methods
Study population
We analysed data of 908 consecutive patients who underwent TAVI at the Cleveland Clinic Foundation (Cleveland, Ohio) between 2017 and 2019. Data on the baseline variables, haematological parameters, mortality and clinical outcomes were collected through a comprehensive chart review. The methods and results of this study are reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist.
Measurement of haematological parameters
We collected complete blood counts (CBC) with differential data from blood samples, withdrawn within the 72 hours before the procedure (preoperative) and at 48 hours immediately after the procedure (postoperative). The haematological parameters of interest included haemoglobin (Hb) (g/dL), platelet counts (cells/mL), neutrophil and lymphocyte cell counts (cells/mL) (measured using Coulter LH 750 Hematology Analyzer, Beckman Coulter, Brea, California, USA). We used the WHO definition for anaemia as Hb<12 g/dL in non-pregnant women and <13 g/dL in men. We used a cut-off of 150 x 109/L to define thrombocytopaenia. Regarding the cut-off for NLR and PLR, the median values for preoperative and postoperative data were used; patients were divided into two groups with values above and below the median NLR and PLR values.
Outcome definitions
The primary outcomes were all-cause mortality and major adverse cardiovascular and cerebrovascular events (MACCE). MACCE was defined as a composite of myocardial infarction, stroke (ischaemic or haemorrhagic) and heart failure rehospitalisation. The secondary outcomes included in-hospital and rehospitalisation for major/life-threatening bleeding (defined as overt bleeding that requires transfusion of ≥2 units of whole-blood/packaged red blood cells, associated with a Hb drop≥3 g/dL, causing severe hypotension, or requiring reintervention) and aortic valve reintervention. Four independent coauthors adjudicated the reported clinical outcomes, using the Valve Academic Research Consortium-3 endpoint definitions.21 The follow-up of each patient was censored at the date of death or last follow-up in our medical records. The median follow-up period for the study patients was 2.5 years (IQR: 2–4 years).
Statistical analysis
All analysis undertaken in the present study was prespecified in our protocol. Patients with normal Hb and platelet counts served as the control group in each respective comparison. The associations of different haematologic parameters with the study outcomes were assessed through survival analyses with the Kaplan-Meier non-parametric method. In order to adjust for differences in baseline characteristics and calculate survival estimates, a multivariable Cox proportional hazard model was employed after confirming the proportional hazards assumption. The analysis was adjusted for age, gender, body mass index (BMI), comorbidities (hypertension, diabetes, coronary artery disease, congestive heart failure, atrial fibrillation), left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) class, serum creatinine and urgent status. All analyses were conducted with STATA V.13.0 (StataCorp, College Station, Texas, USA).
Results
Anaemic versus non-anaemic patients
Preoperatively, 46% of the study cohort had anaemia. Anaemic patients were more likely (p<0.05) than non-anaemic patients to be older, females, have a lower BMI, lower LVEF, higher Society of Thoracic Surgeons (STS) risk scores, higher international normalized ratio (INR) and creatinine values and more frequent comorbidities (diabetes mellitus, atrial fibrillation and higher NYHA class). Out of 149 patients with available iron studies, 81 (54.4%) had iron deficiency anaemia.
Kaplan-Meier survival curves showed that over the follow-up period, having anaemia before or after TAVI was associated with higher risks of all-cause mortality and MACCE (p<0.001 for both); online supplemental figure 1. Regression analysis showed that preoperative and postoperative anaemia were significantly associated with all-cause mortality (aHR: 1.6, 95% CI: 1.1 to 2.0; p=0.01 and aHR: 1.5, 95% CI: 1.04 to 2.5; p=0.04, respectively) and MACCE (aHR: 1.9, 95% CI: 1.3 to 2.8; p=0.002 and aHR: 2.6, 95% CI: 1.4 to 4.9; p=0.003, respectively); table 1.
Table 1.
Results of multivariable Cox proportional hazard model testing the association between haematological parameters and clinical outcomes
| Unadjusted | Multivariable-adjusted model* | |||
| HR (95% CI) | P value | HR (95% CI) | P value | |
| All-cause mortality | ||||
| Preoperative anaemia | 1.8 (1.3 to 2.5) | <0.001 | 1.6 (1.1 to 2.0) | 0.01 |
| Postoperative anaemia | 1.9 (1.3 to 3.0) | 0.002 | 1.5 (1.04 to 2.5) | 0.048 |
| Preoperative haemoglobin† | 1.1 (1.08 to 1.2) | <0.001 | 1.1 (1.02 to 1.2) | 0.01 |
| Postoperative haemoglobin | 1.2 (1.1 to 1.3) | <0.001 | 1.2 (1.1 to 1.3) | 0.002 |
| Preoperative thrombocytopaenia | 1.7 (1.2 to 2.3) | 0.001 | 1.4 (1.01 to 2.0) | 0.03 |
| Postoperative thrombocytopaenia | 1.3 (0.9 to 1.7) | 0.12 | 1.1 (0.8 to 1.5) | 0.56 |
| Preoperative NLR>3.2 | 1.7 (1.2 to 2.3) | 0.001 | 1.4 (1.01 to 2.0) | 0.03 |
| Postoperative NLR>5 | 1.8 (1.2 to 2.6) | 0.002 | 1.6 (1.1 to 2.4) | 0.01 |
| Preoperative PLR>140 | 1.2 (0.9 to 1.6) | 0.2 | 1.1 (0.8 to 1.5) | 0.5 |
| Postoperative PLR>137 | 1.7 (1.2 to 2.6) | 0.002 | 1.6 (1.1 to 2.3) | 0.01 |
| MACCE | ||||
| Preoperative anaemia | 2.1 (1.4 to 2.9) | <0.001 | 1.9 (1.3 to 2.8) | 0.002 |
| Postoperative anaemia | 3.0 (1.7 to 5.4) | <0.001 | 2.6 (1.4 to 4.9) | 0.003 |
| Preoperative haemoglobin | 1.2 (1.1 to 1.3) | <0.001 | 1.1 (1.05 to 1.2) | 0.002 |
| Postoperative haemoglobin | 1.3 (1.1 to 1.4) | <0.001 | 1.2 (1.1 to 1.3) | 0.003 |
| Preoperative thrombocytopaenia | 0.9 (0.6 to 1.6) | 0.99 | 1.04 (0.6 to 1.7) | 0.85 |
| Postoperative thrombocytopaenia | 0.7 (0.5 to 1.0) | 0.08 | 0.7 (0.4 to 1.0) | 0.07 |
| Preoperative NLR>3.2 | 1.8 (1.2 to 2.6) | 0.002 | 1.6 (1.1 to 2.4) | 0.01 |
| Postoperative NLR>5 | 1.7 (1.2 to 2.6) | 0.005 | 1.7 (1.1 to 2.6) | 0.01 |
| Preoperative PLR>140 | 1.7 (1.1 to 2.4) | 0.006 | 1.6 (1.1 to 2.4) | 0.01 |
| Postoperative PLR>137 | 2.2 (1.5 to 3.3) | <0.001 | 2.1 (1.3 to 3.2) | 0.001 |
Anaemia is defined as haemoglobin <12 g/dL in females and <13 g/dL in males. Thrombocytopaenia is defined as platelet count <150 x 109/L.
*Adjusted for age, gender, body mass index, comorbidities (hypertension, diabetes, coronary artery disease, congestive heart failure, atrial fibrillation), left ventricular ejection fraction, New York Heart Association class, serum creatinine and urgent status.
†Per 1 unit decrease.
MACCE, major adverse cardiovascular and cerebrovascular events; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio.
openhrt-2022-002108supp001.pdf (259.4KB, pdf)
To quantify this association, we show that over the follow-up period, every reduction in Hb levels by 1 g/dL before TAVI was associated with an 11% increased risk of all-cause mortality (aHR: 1.11, 95% CI: 1.02 to 1.21; p=0.01) and 10% increased risk of MACCE (aHR: 1.1, 95% CI: 1.05 to 1.2, p=0.002). Similarly, every reduction in Hb levels by 1 g/dL after TAVI was associated with 17% increased risk of all-cause mortality (aHR: 1.17, 95% CI: 1.06 to 1.29; p=0.002) and 20% increased risk of MACCE (aHR: 1.2, 95% CI: 1.1 to 1.3; p=0.003).
On the other hand, having preoperative or postoperative thrombocytopaenia were not associated with either outcome. For other outcomes, anaemic patients at baseline were more likely to have major bleeding (7% vs 3%, p=0.03) and aortic valve reintervention (1.5% vs 0.3%, p=0.02).
Patients with high versus low PLR
Kaplan-Meier survival curves showed that over the follow-up period, patients with higher PLR before or after TAVI were at higher risks of all-cause mortality and MACCE (p<0.001 for both). Regression analysis showed that preoperative PLR was not associated with a significant increase in all-cause mortality (aHR: 1.1, 95% CI 0.8 to 1.5; p=0.5), but it was associated with increased risk of MACCE (aHR: 1.6, 95% CI: 1.1 to 2.4; p=0.01). Postoperative PLR was significantly associated with all-cause mortality (aHR: 1.6, 95% CI: 1.1 to 2.3; p=0.01) and MACCE (aHR: 2.1, 95% CI: 1.3 to 3.2; p=0.001); table 1 (Online supplemental figure 2).
Patients with high versus low NLR
Kaplan-Meier survival curves showed that over the follow-up period, patients with higher NLR before or after TAVI were at higher risks of all-cause mortality and MACCE (p<0.001 for both). Regression analysis showed that preoperative and postoperative higher NLR were significantly associated with all-cause mortality (aHR: 1.4, 95% CI: 1.1 to 1.6; p=0.03 and aHR: 1.6, 95% CI: 1.1 to 2.4; p=0.01, respectively) and MACCE (aHR: 1.6, 95% CI: 1.1 to 2.4; p=0.01 and aHR: 1.7, 95% CI: 1.1 to 2.6; p=0.01, respectively); table 1 (Online supplemental figure 3).
Discussion
In the present study, we analyzed the prognostic utility of haematological parameters in predicting all-cause mortality and clinical outcomes following TAVI, using a large contemporary cohort of patients from a tertiary medical centre. Our analysis shows that nearly half of patients undergoing TAVI had anaemia preoperatively, consistent with results from prior reports.22–24 In line with former studies, iron deficiency was reported as the cause in more than half of anaemic patients, undergoing TAVI.25 26 Other authors attributed anaemia in patients with severe AS to shear stress-dependent intravascular haemolysis.27 Our study also showed that preoperative and postoperative anaemia were strongly associated with all-cause mortality and MACCE in adjusted regression analyses. Whether the treatment of preoperative anaemia can improve TAVI outcomes remains under investigation. To date, two small studies investigated the efficacy of treatment strategies for anaemia before TAVI, showing mixed results. The Erythropoietin plus Iron Therapy for Anemic Patients Undergoing Aortic Valve Replacement (EPICURE) randomised trial failed to show a reduction in blood transfusion rates in TAVI patients, randomised to preoperative erythropoietin and iron therapy.28 On the other hand, another observational study showed that anaemic patients who received preoperative iron and erythropoietin had significant reductions in blood transfusion rates.26
In line with previous studies, the number of anaemic patients increased significantly following TAVI. This is probably attributed to blood loss during the procedure, haemodilution with procedural fluids and acute stress during the TAVI procedure.22 29 We attempted to identify the predictors of anaemia post-TAVI. Our analysis demonstrated that patients with urgent TAVI, higher STS risk score, creatinine and NT proBNB had an increased vulnerability to anaemia following TAVI. These associations make sense as they indicate a worse general condition; the higher creatinine for example may indicate an underlying renal dysfunction and inability to respond to bleeding during/after TAVI by increasing erythropoietin levels. These patients may require more attention by serial monitoring of Hb levels and adequate interventions to correct the predisposing factors for anaemia.
Another marker that was investigated in prior TAVI studies is NLR. A higher NLR is an established marker of subclinical inflammatory states and it reflects the dynamic relationship between the innate and adaptive immune responses. It has been shown to be a strong prognostic marker in several conditions as cancer, sepsis and atherosclerosis. Some even suggested that changes in NLR can precede the clinical condition and may serve as an early warning sign of clinical deterioration.30 31 Our study adds to the accumulating evidence indicating that high NLR is a prognostic marker of poor outcomes after TAVI.18 32 Most studies used a pathological cut-off of NLR around 3, which is similar to our preoperative cut-off value that is more specific to our population. The median value for postoperative NLR was quite higher and it might reflect a subclinical inflammatory response following the procedure. We confirm the available evidence on NLR in TAVI and show that elevations in both preoperative and postoperative NLR were associated with all-cause mortality and MACCE, further highlighting the importance of inflammation in predicting outcomes post-TAVI. What makes NLR a good biomarker is that how easy and cheap it is to measure neutrophil and lymphocyte counts using a complete blood count. However, PLR did not perform as good as NLR in predicting outcomes, as elevated preoperative PLR was not associated with increased risk of all-cause mortality. While most studies support a prognostic role for NLR after TAVI, the literature on PLR has been inconsistent. One study by Condado et al showed that elevated NLR and PLR were associated with worse 30-day outcomes, but only NLR was associated with 1-year readmission and survival.18 A recent study by Navani et al showed that high PLR before TAVI was not associated with 30-day major adverse cardiovascular events,19 while another study by Tabata et al showed that PLR was associated with worse TAVI outcomes in both patients with cancer and non-cancer.20
The most commonly used risk assessment scores in TAVI patients are the STS score and Euroscore II, which were both developed to predict outcomes after cardiac surgery.33 The STS score does include measurements of Hb and platelet count in addition to a myriad of clinical characteristics, highlighting that these blood markers are important prognostic tools in the preoperative workup. Based on our findings, we believe that adding NLR to the current predictive scores can enhance their clinical use and prognostic utility.
Our study is not without limitations. First, our study is retrospective in nature and thus subject to the intrinsic limitations of selection bias and lack of causality. Despite its relatively large sample size, it remains a single-centre study and as such, generalisability of the results might be limited. Yet, our centre is a tertiary referral centre and treats a population of patients from all over the world. Second, while we adjusted for multiple factors in our analysis, it is difficult to account for all potential confounders. Third, the cut-offs for NLR and PLR dichotomous comparisons have been estimated differently in different studies due to the lack of a universal cut-off value. Future studies should work out standardised cut-off points for both values. In addition, the efficacy of normalising haematological parameters in improving long-term mortality, clinical and functional outcomes should be thoroughly investigated.
In conclusion, our analysis shows that preoperative and postoperative anaemia and NLR elevations are associated with adverse clinical outcomes after TAVI at mid-term follow-up. Future studies should assess the value of adding these parameters to the existing risk scores used in the preoperative evaluation of TAVI patients.
Footnotes
Twitter: @shoukmed, @EssaHariri, @AbdelfattahMD, @GrantReedMD, @tavrkapadia
AA, AA and EH contributed equally.
Contributors: Idea conception: AIA and SK. Data collection and quality control: AIA, AA, EH, ID, TK, AS, OA, OB, CJ and MF. Data analysis: AIA and EH. Writing and revision: AIA, SCH, RP, GWR, AK, JY and SK. SK is responsible for the overall content as guarantor.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data are available upon reasonable request.
Ethics statements
Patient consent for publication
Not applicable.
Ethics approval
Our study protocol was approved by the institutional review board at the Cleveland Clinic Foundation.
References
- 1.Otto CM, Nishimura RA, Bonow RO, et al. 2020 ACC/AHA guideline for the management of patients with valvular heart disease. J Am Coll Cardiol 2021;77:e25–197. 10.1016/j.jacc.2020.11.018 [DOI] [PubMed] [Google Scholar]
- 2.Goel R, Power D, Tchetche D, et al. Impact of diabetes mellitus on short term vascular complications after TAVR: results from the BRAVO-3 randomized trial. Int J Cardiol 2019;297:22–9. 10.1016/j.ijcard.2019.09.063 [DOI] [PubMed] [Google Scholar]
- 3.Abushouk AI, Abdelfattah OM, Hassanein M, et al. Transcatheter aortic valve implantation outcomes in chronic kidney disease versus end-stage kidney disease. Am J Cardiol 2021;143:165–7. 10.1016/j.amjcard.2021.01.002 [DOI] [PubMed] [Google Scholar]
- 4.Razuk V, Camaj A, Cao D, et al. Impact of anemia on short-term outcomes after TAVR: a subgroup analysis from the BRAVO-3 randomized trial. Catheter Cardiovasc Interv 2021;98:E870–80. 10.1002/ccd.29753 [DOI] [PubMed] [Google Scholar]
- 5.Nicolas J, Claessen BE, Cao D, et al. Preprocedural anemia in females undergoing transcatheter aortic valve implantation: insights from the WIN-TAVI registry. Catheter Cardiovasc Interv 2021;97:E704–15. 10.1002/ccd.29276 [DOI] [PubMed] [Google Scholar]
- 6.Coté N, Mahmut A, Bosse Y, et al. Inflammation is associated with the remodeling of calcific aortic valve disease. Inflammation 2013;36:573–81. 10.1007/s10753-012-9579-6 [DOI] [PubMed] [Google Scholar]
- 7.Uhle F, Castrup C, Necaev A-M, et al. Inflammation and its consequences after surgical versus transcatheter aortic valve replacement. Artif Organs 2018;42:E1–12. 10.1111/aor.13051 [DOI] [PubMed] [Google Scholar]
- 8.Lindman BR, Goldstein JS, Nassif ME, et al. Systemic inflammatory response syndrome after transcatheter or surgical aortic valve replacement. Heart 2015;101:537–45. 10.1136/heartjnl-2014-307057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jeevanantham V, Singh N, Izuora K, et al. Correlation of high sensitivity C-reactive protein and calcific aortic valve disease. Mayo Clin Proc 2007;82:171–4. 10.1016/S0025-6196(11)60994-4 [DOI] [PubMed] [Google Scholar]
- 10.Patsalis PC, Aweimer A, Scharkowski H, et al. Incidence and impact of routine inflammatory parameters on outcome after transcatheter aortic valve replacement. J Interv Cardiol 2021;2021:1–5. 10.1155/2021/6628405 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Balta S, Ozturk C. The platelet-lymphocyte ratio: a simple, inexpensive and rapid prognostic marker for cardiovascular events. Platelets 2015;26:680–1. 10.3109/09537104.2014.979340 [DOI] [PubMed] [Google Scholar]
- 12.Kurtul A, Ornek E. Platelet to lymphocyte ratio in cardiovascular diseases: a systematic review. Angiology 2019;70:802–18. 10.1177/0003319719845186 [DOI] [PubMed] [Google Scholar]
- 13.Afari ME, Bhat T. Neutrophil to lymphocyte ratio (NLR) and cardiovascular diseases: an update. Expert Rev Cardiovasc Ther 2016;14:573–7. 10.1586/14779072.2016.1154788 [DOI] [PubMed] [Google Scholar]
- 14.Kopytek M, Kolasa-Trela R, Ząbczyk M, et al. Netosis is associated with the severity of aortic stenosis: links with inflammation. Int J Cardiol 2019;286:121–6. 10.1016/j.ijcard.2019.03.047 [DOI] [PubMed] [Google Scholar]
- 15.Liu Y, Jiang P, An L, et al. The role of neutrophil elastase in aortic valve calcification. J Transl Med 2022;20:1–16. 10.1186/s12967-022-03363-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Urbanowicz T, Michalak M, Olasińska-Wiśniewska A, et al. Neutrophil counts, neutrophil-to-lymphocyte ratio, and systemic inflammatory response index (SIRI) predict mortality after off-pump coronary artery bypass surgery. Cells 2022;11:1124. 10.3390/cells11071124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kaya H, Ertaş F, İslamoğlu Y, et al. Association between neutrophil to lymphocyte ratio and severity of coronary artery disease. Clin Appl Thromb Hemost 2014;20:50–4. 10.1177/1076029612452116 [DOI] [PubMed] [Google Scholar]
- 18.Condado JF, Junpaparp P, Binongo JN, et al. Neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) can risk stratify patients in transcatheter aortic-valve replacement (TAVR). Int J Cardiol 2016;223:444–9. 10.1016/j.ijcard.2016.08.260 [DOI] [PubMed] [Google Scholar]
- 19.Navani RV, Quine EJ, Duffy SJ, et al. Relation of preprocedure platelet-to-lymphocyte ratio and major adverse cardiovascular events following transcatheter aortic valve implantation for aortic stenosis. Am J Cardiol 2022;163:65–70. 10.1016/j.amjcard.2021.10.008 [DOI] [PubMed] [Google Scholar]
- 20.Tabata N, Al-Kassou B, Sugiura A, et al. Predictive value of the platelet-to-lymphocyte ratio in cancer patients undergoing transcatheter aortic valve replacement. JACC CardioOncol 2019;1:159–69. 10.1016/j.jaccao.2019.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.VARC-3 WRITING COMMITTEE, Généreux P, Piazza N, et al. Valve academic research Consortium 3: updated endpoint definitions for aortic valve clinical research. Eur Heart J 2021;42:1825–57. 10.1093/eurheartj/ehaa799 [DOI] [PubMed] [Google Scholar]
- 22.De Larochellière H, Puri R, Eikelboom JW, et al. Blood disorders in patients undergoing transcatheter aortic valve replacement: a review. JACC Cardiovasc Interv 2019;12:1–11. 10.1016/j.jcin.2018.09.041 [DOI] [PubMed] [Google Scholar]
- 23.Seiffert M, Conradi L, Terstesse AC, et al. Blood transfusion is associated with impaired outcome after transcatheter aortic valve implantation. Catheter Cardiovasc Interv 2015;85:460–7. 10.1002/ccd.25691 [DOI] [PubMed] [Google Scholar]
- 24.Rheude T, Pellegrini C, Michel J, et al. Prognostic impact of anemia and iron-deficiency anemia in a contemporary cohort of patients undergoing transcatheter aortic valve implantation. Int J Cardiol 2017;244:93–9. 10.1016/j.ijcard.2017.06.024 [DOI] [PubMed] [Google Scholar]
- 25.DeLarochellière H, Urena M, Amat-Santos IJ, et al. Effect on outcomes and exercise performance of anemia in patients with aortic stenosis who underwent transcatheter aortic valve replacement. Am J Cardiol 2015;115:472–9. 10.1016/j.amjcard.2014.11.033 [DOI] [PubMed] [Google Scholar]
- 26.Shuvy M, Mewa J, Wolff R, et al. Preprocedure anemia management decreases transfusion rates in patients undergoing transcatheter aortic valve implantation. Can J Cardiol 2016;32:732–8. 10.1016/j.cjca.2015.08.018 [DOI] [PubMed] [Google Scholar]
- 27.Tsuji A, Tanabe M, Onishi K, et al. Intravascular hemolysis in aortic stenosis. Intern Med 2004;43:935–8. 10.2169/internalmedicine.43.935 [DOI] [PubMed] [Google Scholar]
- 28.Urena M, Del Trigo M, Altisent OA-J, et al. Combined erythropoietin and iron therapy for anaemic patients undergoing transcatheter aortic valve implantation: the EPICure randomised clinical trial. EuroIntervention 2017;13:44–52. 10.4244/EIJ-D-16-00591 [DOI] [PubMed] [Google Scholar]
- 29.Rodés-Cabau J, Dauerman HL, Cohen MG, et al. Antithrombotic treatment in transcatheter aortic valve implantation: insights for cerebrovascular and bleeding events. J Am Coll Cardiol 2013;62:2349–59. 10.1016/j.jacc.2013.03.029 [DOI] [PubMed] [Google Scholar]
- 30.Balta S, Ozturk C, Balta I, et al. The neutrophil-lymphocyte ratio and inflammation. Angiology 2016;67:298–9. 10.1177/0003319715615252 [DOI] [PubMed] [Google Scholar]
- 31.Wilmanski JM, Petnicki-Ocwieja T, Kobayashi KS. NLR proteins: integral members of innate immunity and mediators of inflammatory diseases. J Leukoc Biol 2008;83:13–30. 10.1189/jlb.0607402 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Khalil C, Pham M, Sawant AC, et al. Neutrophil-to-lymphocyte ratio predicts heart failure readmissions and outcomes in patients undergoing transcatheter aortic valve replacement. Indian Heart J 2018;70 Suppl 3:S313–8. 10.1016/j.ihj.2018.08.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Nashef SAM, Roques F, Michel P, et al. European system for cardiac operative risk evaluation (EuroSCORE). Eur J cardio-thoracic Surg 1999;16:9–13. 10.1016/S1010-7940(99)00134-7 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
openhrt-2022-002108supp001.pdf (259.4KB, pdf)
Data Availability Statement
Data are available upon reasonable request.

