| Literature DB >> 31840834 |
Christos Galatas1, Jonathan Afilalo1.
Abstract
As the population ages, clinicians will encounter a growing number of nonagenarians suffering from severe aortic stenosis who may be candidates for transcatheter aortic valve replacement (TAVR). By virtue of a healthy survivor effect or a referral bias, these patients may paradoxically have greater resilience and fewer comorbidities than their octogenarian counterparts. They tend to, on average, tolerate the TAVR procedure quite well with low in-hospital and 1-year mortality rates of 5.5% and 23%, respectively. Appropriate patient selection should consider individualized estimates of procedural risk, potential for functional recovery and for improved quantity and quality of life. Frailty is much more revealing than chronological age, and it can be measured by brief tools such as the Essential Frailty Toolset. Ultimately, the process of shared decision-making is paramount to ensure that the course of action is patient-centered and balances the procedure's expected risks and benefits with the nonagenarian's preferences and values.Entities:
Keywords: aging and the cardiovascular system; valvular < surgery/adult; valvular heart disease
Mesh:
Year: 2019 PMID: 31840834 PMCID: PMC7021650 DOI: 10.1002/clc.23310
Source DB: PubMed Journal: Clin Cardiol ISSN: 0160-9289 Impact factor: 2.882
Reviewed studies
| Study | Design | N (%) 90+ | STS‐PROM | Procedural success | Major vascular | Major bleed | Stroke | 30‐d mortality | 1‐y mortality |
|---|---|---|---|---|---|---|---|---|---|
| Barth 2019 | MC, P | 68 (7) | NA | 84% | 17.6% | 11.8% | NA | 10.3% | NA |
| Stehli 2019 | MC, P | 71 (12) | 5.7% | 96% | 7.0% | 0.0% | 1.4% | 0.0% | 11.4% |
| Vlastra 2019 | MC, P | 882 (7) | 9.9% | NA | NA | 8.1% | 3.0% | 9.9% | NA |
| Yokoyama 2019 | MC, P | 94 (12) | 8.3% | NA | 19.1% | 4.0% | 6.4% | 2.1% | NA |
| Stamou 2019 | SC, R | 148 (100) | NA | NA | 8.8% | 37.2% (T) | 2.7% | 6.8% (H) | 19.0% |
| Scholtz 2018 | SC, P | 82 (8) | 8.5% | 98% | 4.9% | NA | 3.6% | 9.8% | 30.9% |
| Vendrik 2018 | SC, P | 47 (8) | 8.0% | 79% | 10.6% | 6.4% | 6.4% | 2.1% (H) | NA |
| Ichimoto 2018 | SC, R | 17 (20) | 12.3% | NA | 11.8% | 5.9% | 0.0% | 0.0% | NA |
| Doshi 2018 | MC, R | 1163 (33) | NA | NA | 4.5% | 35.0% (T) | 3.4% | 6.0% (H) | NA |
| Elgendy 2018 | MC, R | 5840 (100) | NA | NA | 3.3% | 28.3% (T) | 3.3% | 6.6% (H) | NA |
| Miura 2017 | SC, P | 25 (22) | 10.0% | 96% | 8.0% | 4.0% | 4.0% | 0.0% | 8.4% |
| Okoh 2017 | SC, R | 75 (100) | 9.6% | NA | NA | NA | 0.0% | 6.7% | NA |
| McNeely 2017 | MC, R | 3531(19) | NA | NA | NA | 34.2% | 1.8% | 8.4% | 25.4% |
| Mendiz 2017 | MC, R | 33 (100) | 11.1% | 97% | 9.1% | 18.2% | 0.0% | 9.1% | NA |
| De Biasi 2017 | SC, P | 25 (100) | 10.2% | NA | 0.0% | 36.0% | 0.0% | 0.0% | 17.0% |
| Biancari 2017 | MC, P | 80 (100) | NA | NA | 3.8% | 27.5% (T) | 0.0% | 6.3% | NA |
| Zack 2017 | MC, R | 695 (100) | NA | NA | 11.9% | 33.7% (T) | 3.6% | 6.5% (H) | NA |
| Penkalla 2016 | SC, R | 40 (100) | 24.2% | NA | 5.0% | 10.0% | 7.5% | 10.0% | 41.4% |
| Escarcega 2016 | SC, R | 107 (16) | 12.1% | NA | 13.1% | 13.1% | 1.9% | 5.7% (H) | 25.0% |
| Arsalan 2016 | MC, P | 3773 (16) | 9.2% | NA | 1.0% | 8.1% | 2.7% | 8.8% | 24.8% |
| Greason 2015 | SC, R | 46 (100) | NA | NA | 21.7% | NA | 2.2% | 4.7% (H) | 15.4% |
| Kayatta 2015 | SC, R | 95 (100) | 14.5% | NA | NA | 2.1% | 2.0% | 3.2% | 24.5% |
| Thourani 2015 | MC, P | 531 (100) | NA | 75% | 6.2% | NA | 2.1% | 7.2% | NA |
| Abramowitz 2015 | SC, R | 136 (19) | 11.0% | 93% | 4.4% | 5.9% | 2.9% | 2.9% | NA |
| Mack 2015 | MC, R | 90 (100) | 11.6% | NA | NA | NA | 2.2% | 11.1% | 30.0% |
| Murashita 2014 | SC, R | 26 (100) | 10.3% | NA | 23.1% | NA | 3.9% | 3.9% | NA |
| Pascual 2014 | MC, R | 19 (100) | NA | NA | 10.5% | NA | NA | 5.3% (H) | NA |
| Yamamoto 2014 | MC, P | 346 (15) | NA | 97% | 5.8% | 5.5% | 4.0% | 11.3% | NA |
| Noble 2014 | SC, P | 23 (100) | 8.7% | 74% | 0.0% | 13.0% | 4.3% | 8.7% | NA |
| Verouhis 2014 | SC, R | 29 (100) | 6.2% | 100% | 0.0% | 0.0% | 3.4% | 0.0% | 10.7% |
| Akin 2012 | SC, R | 11 (100) | 25.3% | 100% | 9.1% | 18.2% | 18.2% | 27.3% | NA |
| Yamamoto 2012 | SC, P | 26 (19) | 13.4% | 100% | 19.2% | 34.6% | 3.8% | 15.4% | NA |
Denotes studies that reported an increased risk in patients ≥90 years of age compared to <90 years of age (not tested in all studies).
Abbreviations: H, in‐hospital; MC, multicenter; NA, not available; P, prospective; R, retrospective; STS‐PROM, Society of Thoracic Surgeons Predicted Risk of Mortality; SC, single center; T, transfusion of packed red blood cells.
Figure 1Meta‐analysis of 30‐d mortality in nonagenarians undergoing TAVR
Figure 2Meta‐analysis of 1‐y mortality in nonagenarians undergoing TAVR
Patient selection
| Key question | Red flags | |
|---|---|---|
| Short‐term risks | Is the patient at risk for a major procedural complication? |
High TAVR risk score Comorbidity‐complication dyads Technically complex procedure |
| Mid‐term recovery | Is the patient likely to return home and recover function following TAVR? |
Physical frailty Poor social support Active depression |
| Long‐term benefits | Is the patient likely to gain meaningful longevity and quality of life from TAVR? |
Advanced dementia Bedbound Cachexia or severe sarcopenia Disability for all or most ADLs End‐stage kidney, liver, lung disease |
| Patient preference | Does the patient understand the expected benefits/risks and want to proceed? |
Limited comprehension Unrealistic expectations External pressure to proceed |