Impact of Baseline Anemia in Patients Undergoing Transcatheter Aortic Valve Replacement: A Prognostic Systematic Review and Meta-Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Inclusion and Exclusion Criteria
2.3. Risk of Bias Assessment
2.4. Endpoints
2.5. Statistical Analysis
3. Results
3.1. Search Results
3.2. Risk of Bias Assessment
3.3. Clinical Characteristics
3.4. Need for Transfusion
3.5. Acute Kidney Injury
3.6. Mortality
3.7. Rehospitalization
4. Discussion
4.1. Clinical Impact
4.2. Pre-TAVR Anemia Optimization
5. Limitations
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Study (Sample Size) | Follow-Up | Prevalence Anemia (%) 1 | Age, Yrs | Sex, Male (%) | Hb Level (g/dL) | 30-Day | Mid-Term | |||
---|---|---|---|---|---|---|---|---|---|---|
Transfusion | Acute Kidney Injury 2 | All-Cause Mortality | All Cause-Mortality | All-Cause Rehospitalization | ||||||
Nuis 2013 [10] (n = 1696) | 1 year | 969 (57%) | 81 ± 7 vs. 80 ± 7 (p < 0.001) | 56% vs. 47% (p < 0.001) | 11.0 ± 1.1 vs. 13.6 ± 1.0 (p < 0.001) | 54% vs. 26% (p < 0.001) | 18% vs. 16% (p = ns) | aOR: 1.72 (0.96–3.12) | 31% vs. 21% (p < 0.001) aHR: 1.42 (1.12–1.81) | - |
De Backer 2014 [19] (n = 253) | 2 years | 124 (49%) | 80 ± 7 vs. 79 ± 7 (p = 0.895) | 66% vs. 56% (p = 0.121) | 11.8 vs. 13.7 | 28% vs. 16% (p = 0.033) | 6% vs. 5% (p = 1.000) | - | 16% vs. 10% (p = ns) | OR: 1.75 (1.03–2.98) |
Arai 2015 [9] (n = 3472) | 1 year | 1335 (38.5%) | S 3 82.1 ± 8.8 M 82.7 ± 10.1 C 82.7 ± 7.7 (p = 0.30) | S 3 58% M 51% C 49% (p <0.01) | S 3 9.6 ± 0.7 M 11.1 ± 0.4 C 13.1 ± 1.1 (p <0.01) | S 3 26% M 21% C 15% (p < 0.01) | S 3 10% M 8% C 5% (p < 0.01) | S 3 10% M 7% C 6% (p = 0.02) | aHR: 1.44 (1.28–1.63) | - |
De Larochellière 2015 [6] (n = 438) | 6 months | 282 (64.4%) | 80 ± 8 vs. 78 ± 9 (p = 0.020) | 51.8% vs. 43.6% (p = 0.101) | 10.8 ± 1.1 vs. 13.4 ± 1.0 (p < 0.001) | 39.7% vs. 20.0% (p < 0.001) | 14.2 vs. 21% (p = ns) | 6% vs. 7.7% (p = ns) | - | - |
Hellhammer 2016 [20] (n = 376) | 1 year | 239 (63.6%) | 82 ± 6 vs. 81 ± 6 (p = 0.101) | 46.9% vs. 40.1% (p = 0.207) | 11.0 ± 1.1 vs. 13.6 ± 1.1 (p < 0.001) | - | 25.1% vs. 10.9% (p = 0.001) | 9.2% vs. 3.6% (p= 0.045) | - | - |
Seiffert 2017 [21] (n = 1201) | 3 years | 707 (59%) | 82 (76–86) vs. 82 (77–85) (p = 0.854) | 53.3% vs. 41.3% (p = 0.001) | - | 48.8% vs. 18.1% (p < 0.001) OR: 6.74 (4.8–9.6) | 9.6 vs. 4.9% (p = 0.003) | 9.5% vs. 8.8% (p = 0.626) HR: 1.50 (0.88–2.55) | 64.9 vs. 49.6% (p = 0.002) aHR: 1.43 (1.13–1.82) | - |
Rheude 2017 [18] (n = 549) | 1 year | 249 (45%) | 82 ± 6 vs. 80 ± 6 (p < 0.001) | 55% vs. 54% (p = 0.947) | 11.0 ± 1.1 vs. 13.6 ± 1.1 (p < 0.001) | 25% vs. 4% (p < 0.001) | 6% vs. 1% (p = 0.005) | - | 14% vs. 3% (p < 0.001) | 16% vs. 6% (p < 0.001) 6 |
Nicolas 2020 [15] (n = 877) | 1 year | 465 (53%) | S 4 83.1 ± 5.9 M 82.7 ± 6.3 C 82.1 ± 6.4 (p = 0.26) | 0% | S 4 9.0 ± 1.1 M 11.1 ± 0.6 C 13.2 ± 1.0 (p < 0.001) | S 4 17.9% M 5.2% C 3.5% (p < 0.001) | S 4 1.0% M 1.9% C 1.2% (p = ns) | S 4 3.9% M 3.9% C 3.2% (p = ns) | S 4 20.7% M 12.8% C 9.5%. (p = 0.002) | - |
Razuk 2021 [17] (n = 798) | 30 days | 427 (54%) | 82.7± 6.7 vs. 81.8 ± 6.3 (p = 0.070) | 54.1% vs. 48.0% (p = 0.085) | 11.2 ± 1.7 vs. 13.3 ± 1.8 (p = 0.001) | - | 20.4% vs. 12.1% (p= 0.001) OR: 1.74 (1.16–2.59) | - | - | - |
Bastug 2021 [22] (n = 340) | 2.5 years | 170 (50%) | 79 (73–84) vs. 78 (72–83) (p = 0.33) | 42.4% vs. 46.5% (p = 0.44) | 10.9 (10.2–11.6) vs. 13.4 (12.7–14.1) (p < 0.001) | - | - | - | 53.5% vs. 27.1% (p < 0.001) HR:2.58 (1.77–3.75) | - |
Onoda 2021 [16] (n = 2588) | 2 years | 1872 (72.3%) Onoda cut-off 5: 909 (35.1%) | 85.3 ± 5.2 vs. 83.9 ± 5.2 (p < 0.001) | 29.7% vs. 32.2% (p = 0.024) | 9.5 ± 0.8 vs. 12.2 ± 1.2 (p < 0.001) | 42.8% vs. 21.6% (p < 0.001) | 15.2% vs. 9.0% (p < 0.001) | 4.0% vs. 2.0% (p = 0. 004) | 17.9% vs. 13.2% (p < 0.001) HR: 1.77 (1.39–2.25) | - |
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Jiménez-Xarrié, E.; Asmarats, L.; Roqué-Figuls, M.; Millán, X.; Li, C.H.P.; Fernández-Peregrina, E.; Sánchez-Ceña, J.; Massó van Roessel, A.; Maestre Hittinger, M.L.; Paniagua, P.; et al. Impact of Baseline Anemia in Patients Undergoing Transcatheter Aortic Valve Replacement: A Prognostic Systematic Review and Meta-Analysis. J. Clin. Med. 2023, 12, 6025. https://doi.org/10.3390/jcm12186025
Jiménez-Xarrié E, Asmarats L, Roqué-Figuls M, Millán X, Li CHP, Fernández-Peregrina E, Sánchez-Ceña J, Massó van Roessel A, Maestre Hittinger ML, Paniagua P, et al. Impact of Baseline Anemia in Patients Undergoing Transcatheter Aortic Valve Replacement: A Prognostic Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 2023; 12(18):6025. https://doi.org/10.3390/jcm12186025
Chicago/Turabian StyleJiménez-Xarrié, Elena, Lluis Asmarats, Marta Roqué-Figuls, Xavier Millán, Chi Hion Pedro Li, Estefanía Fernández-Peregrina, Juan Sánchez-Ceña, Albert Massó van Roessel, M. Luz Maestre Hittinger, Pilar Paniagua, and et al. 2023. "Impact of Baseline Anemia in Patients Undergoing Transcatheter Aortic Valve Replacement: A Prognostic Systematic Review and Meta-Analysis" Journal of Clinical Medicine 12, no. 18: 6025. https://doi.org/10.3390/jcm12186025
APA StyleJiménez-Xarrié, E., Asmarats, L., Roqué-Figuls, M., Millán, X., Li, C. H. P., Fernández-Peregrina, E., Sánchez-Ceña, J., Massó van Roessel, A., Maestre Hittinger, M. L., Paniagua, P., & Arzamendi, D. (2023). Impact of Baseline Anemia in Patients Undergoing Transcatheter Aortic Valve Replacement: A Prognostic Systematic Review and Meta-Analysis. Journal of Clinical Medicine, 12(18), 6025. https://doi.org/10.3390/jcm12186025