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Metra M, Radulescu CI, Cersosimo A, Massussi M, Laurito A, Chioncel O, Adamo M. Quality of life in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation: tools and evidence. J Cardiovasc Med (Hagerstown) 2024; 25:259-270. [PMID: 38488063 DOI: 10.2459/jcm.0000000000001591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Aortic stenosis is the most prevalent valvular heart disease requiring intervention, especially in the elderly population. Surgical aortic valve replacement and transcatheter aortic valve implantation (TAVI) are well established treatment options for symptomatic patients with severe aortic stenosis, as they provide a significant survival benefit. Aortic stenosis may have an important impact on patients' quality of life (QoL). However, advanced age, comorbidities and frailty may limit the beneficial effect of aortic stenosis interventions in terms of QoL. Current guidelines mention the importance of frailty and avoiding the futility of interventions, but lack specific indications about decision-making. Also, there are limited data on how to specifically assess QoL in aortic stenosis patients since the most used questionnaires are validated in different populations (i.e. heart failure). The aim of this review is to summarize all the available tools for QoL assessment in patients with aortic stenosis; to report current evidence on the impact of TAVI on QoL; and to discuss the role of frailty and comorbidities in this setting.
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Affiliation(s)
- Marco Metra
- ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Crina-Ioana Radulescu
- ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
- University of Medicine and Pharmacy Carol Davila
| | - Angelica Cersosimo
- ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Mauro Massussi
- ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Andrea Laurito
- ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Ovidiu Chioncel
- University of Medicine and Pharmacy Carol Davila
- Emergency Institute for Cardiovascular Diseases 'Prof. C.C. Iliescu', Bucharest, Romania
| | - Marianna Adamo
- ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
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Kambič T, Hansen D, Harber MP. Resistance Training in Cardiac Rehabilitation: PAST, PRESENT, AND FUTURE. J Cardiopulm Rehabil Prev 2024; 44:79-82. [PMID: 38407806 DOI: 10.1097/hcr.0000000000000851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Affiliation(s)
- Tim Kambič
- Department of Medical Sciences in Sport, Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia (Dr Kambič); Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium (Dr Hansen); BIOMED (Biomedical Research Institute) and REVAL (Rehabilitation Research Centre) (REVAL/BIOMED), Hasselt University, Diepenbeek, Belgium (Dr Hansen); and Clinical Exercise Physiology Program, Human Performance Laboratory, Ball State University, Muncie, Indiana (Dr Harber)
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Zisiopoulou M, Berkowitsch A, Redlich L, Walther T, Fichtlscherer S, Leistner DM. Personalised preinterventional risk stratification of mortality, length of stay and hospitalisation costs in transcatheter aortic valve implantation using a machine learning algorithm: a pilot trial. Open Heart 2024; 11:e002540. [PMID: 38388188 PMCID: PMC10884198 DOI: 10.1136/openhrt-2023-002540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/20/2024] [Indexed: 02/24/2024] Open
Abstract
INTRODUCTION Risk stratification based on Euroscore II (ESII) is used in some centres to assist decisions to perform transcatheter aortic valve implant (TAVI) procedures. ESII is a generic, non-TAVI-specific metric, and its performance fades for mortality at follow-up longer than 30 days. We investigated if a TAVI-specific predictive model could achieve improved predictive preinterventional accuracy of 1-year mortality compared with ESII. PATIENTS AND METHODS In this prospective pilot study, 284 participants with severe symptomatic aortic valve stenosis who underwent TAVI were enrolled. Standard clinical metrics (American Society of Anesthesiology (ASA), New York Heart Association and ESII) and patient-reported outcome measures (EuroQol-5 Dimension-Visual Analogue Scale, Kansas City Cardiomyopathy Questionnaire and Clinical Frailty Scale (CFS)) were assessed 1 day before TAVI. Using these data, we tested predictive models (logistic regression and decision tree algorithm (DTA)) with 1-year mortality as the dependent variable. RESULTS Logistic regression yielded the best prediction, with ASA and CFS as the strongest predictors of 1-year mortality. Our logistic regression model score showed significantly better prediction accuracy than ESII (area under the curve=0.659 vs 0.800; p=0.002). By translating our results to a DTA, cut-off score values regarding 1-year mortality risk emerged for low, intermediate and high risk. Treatment costs and length of stay (LoS) significantly increased in high-risk patients. CONCLUSIONS AND SIGNIFICANCE A novel TAVI-specific model predicts 1-year mortality, LoS and costs after TAVI using simple, established, transparent and inexpensive metrics before implantation. Based on this preliminary evidence, TAVI team members and patients can make informed decisions based on a few key metrics. Validation of this score in larger patient cohorts is needed.
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Affiliation(s)
- Maria Zisiopoulou
- Cardiology and Vascular Medicine Department, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
- German Center of Cardiovascular Research (DZHK), Partner Site Rhine/Main, Frankfurt am Main, Germany
| | - Alexander Berkowitsch
- Cardiology and Vascular Medicine Department, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - Leonard Redlich
- Cardiology and Vascular Medicine Department, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - Thomas Walther
- German Center of Cardiovascular Research (DZHK), Partner Site Rhine/Main, Frankfurt am Main, Germany
- Department of Cardiothoracic Surgery, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - Stephan Fichtlscherer
- Cardiology and Vascular Medicine Department, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - David M Leistner
- Cardiology and Vascular Medicine Department, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
- German Center of Cardiovascular Research (DZHK), Partner Site Rhine/Main, Frankfurt am Main, Germany
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Sluka M, Hutyra M, Nykl R, Ostransky J, Furst T, Petrova P, Precek J, Hudec S, Taborsky M. Risk stratification using growth differentiation factor 15 in patients undergoing transcatheter aortic valve implantation. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2023; 167:263-271. [PMID: 35416185 DOI: 10.5507/bp.2022.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/24/2022] [Indexed: 11/23/2022] Open
Abstract
AIMS Growth differentiation factor 15 (GDF15) shows potential predictive value in various cardiac conditions. We investigated relationships between GDF15 and clinical or procedural outcomes in patients with severe aortic stenosis undergoing transcatheter aortic valve implantation (TAVI) in order to propose clinically useful predictive risk stratification model. METHODS This prospective single-center registry enrolled 88 consecutive patients with severe symptomatic aortic stenosis treated with TAVI. Clinical parameters were collected and biomarkers including GDF-15 were measured within 24 h before TAVI. All relevant clinical outcomes according to the Valve Academic Research Consortium-2 were collected over the follow-up period. RESULTS The cohort included 52.3% of females. The mean age of study participants was 81 years; the mean Society of Thoracic Surgeons (STS) score and logistic EuroSCORE were 3.6% and 15.4%, respectively. The mortality over the entire follow-up period was 10.2%; no death was observed within the first 30 days following TAVI. Univariate analysis showed significant associations between GDF15 and mortality (P=0.0006), bleeding (P=0.0416) and acute kidney injury (P=0.0399). A standard multivariate logistic regression model showed GDF-15 as the only significant predictor of mortality (P=0.003); the odds ratio corresponding to an increase in GDF15 of 1000 pg/mL was 1.22. However, incremental predictive value was not observed when the STS score was combined with GDF15 in this predictive model. CONCLUSIONS Based on our observations, preprocedural elevated GDF15 levels are associated with increased mortality and demonstrate their additional value in predicting adverse clinical outcomes in a TAVI population.
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Affiliation(s)
- Martin Sluka
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Martin Hutyra
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Radomir Nykl
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Jiri Ostransky
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Tomas Furst
- Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University Olomouc, Czech Republic
| | - Pavla Petrova
- Department of Clinical Biochemistry, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Jan Precek
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Stepan Hudec
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
| | - Milos Taborsky
- Department of Internal Medicine I - Cardiology, University Hospital Olomouc, I. P. Pavlova 6, 779 00, Czech Republic
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Prendiville T, Leahy A, Gabr A, Ahmad F, Afilalo J, Martin GP, Mamas M, Casserly IP, Mohamed A, Saleh A, Shanahan E, O'Connor M, Galvin R. Clinical Frailty Scale as a predictor of adverse outcomes following aortic valve replacement: a systematic review and meta-analysis. Open Heart 2023; 10:e002354. [PMID: 37567604 PMCID: PMC10423827 DOI: 10.1136/openhrt-2023-002354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 07/03/2023] [Indexed: 08/13/2023] Open
Abstract
OBJECTIVES Assessment of frailty prior to aortic valve intervention is recommended in European and North American valvular heart disease guidelines. However, there is a lack of consensus on how it is best measured. The Clinical Frailty Scale (CFS) is a well-validated measure of frailty that is relatively quick to calculate. This meta-analysis sought to examine whether the CFS predicts mortality and morbidity following either transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement (SAVR). METHODS Nine electronic databases were searched systematically for data on clinical outcomes post-TAVI/SAVR, where patients had undergone preoperative frailty assessment using the CFS. The primary endpoint was 12-month mortality. TAVI and SAVR data were assessed and reported separately. For each individual study, the incidence of adverse outcomes was extracted according to a CFS score of 5-9 (ie, frail) versus 1-4 (ie, non-frail), with meta-analysis performed using a random effects model. RESULTS Of 2612 records screened, nine were included in the review (five TAVI, three SAVR and one which included both interventions). Among 4923 TAVI patients, meta-analysis showed 12-month mortality rates of 19.1% for the frail cohort versus 9.8% for the non-frail cohort (RR 2.53 (1.63 to 3.95), p<0.001, I2=83%). For the smaller cohort of SAVR patients (n=454), mortality rates were 20.3% versus 3.9% for the frail and non-frail cohorts, respectively (RR 5.08 (2.31 to 11.15), p<0.001, I2=5%). CONCLUSIONS Frailty, as determined by the CFS, was associated with an increased mortality risk in the 12 months following either TAVI or SAVR. These data would support its use in the preoperative assessment of elderly patients undergoing aortic valve interventions.
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Affiliation(s)
| | - Aoife Leahy
- Department of Ageing and Therapeutics, University Hospital Limerick, Limerick, Ireland
| | - Ahmed Gabr
- Department of Ageing and Therapeutics, University Hospital Limerick, Limerick, Ireland
| | - Fayeza Ahmad
- Division of Cardiology and Centre of Clinical Epidemiology, Jewish General Hospital, McGill University, Montreal, Québec, Canada
| | - Jonathan Afilalo
- Division of Cardiology and Centre of Clinical Epidemiology, Jewish General Hospital, McGill University, Montreal, Québec, Canada
| | - Glen Philip Martin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Mamas Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, UK
| | - Ivan P Casserly
- Department of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Abdirahman Mohamed
- Department of Ageing and Therapeutics, University Hospital Limerick, Limerick, Ireland
| | - Anastasia Saleh
- Department of Ageing and Therapeutics, University Hospital Limerick, Limerick, Ireland
| | - Elaine Shanahan
- Department of Ageing and Therapeutics, University Hospital Limerick, Limerick, Ireland
| | - Margaret O'Connor
- Department of Ageing and Therapeutics, University Hospital Limerick, Limerick, Ireland
| | - Rose Galvin
- School of Allied Health, Faculty of Education and Health Sciences, Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland
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Li Z, Messika-Zeitoun D, Petrich W, Edwards J. Comparison of transcatheter and surgical aortic valve replacement long-term outcomes: a retrospective cohort study with overlap propensity score weighting. Open Heart 2023; 10:openhrt-2022-002205. [PMID: 37105684 PMCID: PMC10152047 DOI: 10.1136/openhrt-2022-002205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/15/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND AND AIMS Randomised controlled trials comparing transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) were performed in highly selected populations and data regarding long-term secondary complications beyond mortality are scarce. This study used data from Ontario, Canada to compare mid-term and long-term clinical outcomes in a representative real-world cohort of patients who underwent TAVR and SAVR from 2007 to 2016. METHODS A novel overlap weighting propensity score method was used to match patients undergoing TAVR or SAVR. Primary outcomes were all-cause, cardiovascular and non-cardiovascular mortality either in-hospital or at 1, 3 and 5 years postdischarge. Secondary outcomes included adverse outcomes and readmission. Long-term primary and secondary outcomes were compared using a weighted competing risks subdistribution proportional hazards model. RESULTS The study included 9355 SAVR and 2641 TAVR patients. All-cause mortality at 1 year (HR 1.21; 95% CI 1.02 to 1.43), 3 years (HR 1.45; 95% CI 1.28 to 1.64) and 5 years (HR 1.48; 95% CI 1.33 to 1.65) was significantly higher among patients underwent TAVR compared with SAVR, with both cardiovascular mortality at 3 and 5 years and non-cardiovascular mortality at 1, 3 and 5 years significantly higher for TAVR. Hazards of myocardial infarction and readmission for angina at 1, 3 and 5 years were significantly greater for TAVR. CONCLUSIONS In this overlap weighted cohort, both cardiac and non-cardiac mortality rates were increased in TAVR patients. Residual or unmeasured confounding may have contributed to these findings. More studies are needed to identify factors predictive of long-term outcomes in real-world cohorts.
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Affiliation(s)
- Zhe Li
- University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - David Messika-Zeitoun
- Division of Cardiology, Univeristy of Ottawa Heart Institue, Ottawa, Ontario, Canada
| | | | - Jodi Edwards
- University of Ottawa Heart Institute, Ottawa, Ontario, Canada
- ICES, Ottawa, Ontario, Canada
- School of Epidemiology and Biostatistics, University of Ottawa, Ottawa, Ontario, Canada
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Pedone C, De Vincentis A, Quarata F, Bandinelli S, Ferrucci L, Antonelli Incalzi R. Predicting risk of declining functional ability in community-dwelling older people. Arch Gerontol Geriatr 2023; 106:104882. [PMID: 36470178 PMCID: PMC10866326 DOI: 10.1016/j.archger.2022.104882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/23/2022] [Accepted: 11/27/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The frailty phenotype (FP) proposed by Fried and colleagues has been shown to be strongly associated with incident disability, but its discriminative capacities remain suboptimal, with good specificity but a sensitivity of only 10-20%. The objective of the present study was to evaluate whether the addition to the FP of other biological and social variables may improve the prediction of declining functional ability in community-dwelling older people. DESIGN Prospective observational study. SETTING AND PARTICIPANTS Community-dwelling older subjects. METHODS We used data from the InChianti (N 897) and the SHARE (N 444) studies to derive and validate a scoring system consisting of FP components along with age, perceived health status and markers of socio-economic disadvantage. Backward stepwise logistic regressions were used to obtain a parsimonious model, able to predict the loss of ability to perform instrumental or basic activities of daily living over time. RESULTS A scoring system derived from a model only including age, low physical activity level, exhaustion and perceived health status had an area under the receiver operating characteristic curve (AUROC) of 0.846 in the training cohort (InChianti), and 0.745 in the testing cohort (SHARE). By applying the cut-off of 33 and 25 in the InChianti and SHARE, respectively, sensitivity raised to 0.70 and 0.62 with specificity of 0.83 and 0.70, respectively. CONCLUSIONS AND IMPLICATIONS A simple score based on anamnestic variables may be more sensitive than the FP towards worsening functional ability, while retaining good specificity. Further studies are needed to confirm its performance.
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Affiliation(s)
- Claudio Pedone
- Unit of Geriatrics, Campus Bio-Medico University of Rome, Rome, Italy
| | | | - Federica Quarata
- Unit of Geriatrics, Campus Bio-Medico University of Rome, Rome, Italy
| | | | - Luigi Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, Maryland
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Wang L, Liu Y, Gao H, Zhang B, Zhou S, Xie M, Sun X. Comparison of Safety and Effectiveness of Local or General Anesthesia after Transcatheter Aortic Valve Implantation: A Systematic Review and Meta-Analysis. J Clin Med 2023; 12:jcm12020508. [PMID: 36675437 PMCID: PMC9866516 DOI: 10.3390/jcm12020508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/26/2022] [Accepted: 12/31/2022] [Indexed: 01/11/2023] Open
Abstract
It remains controversial to choose anesthesia for transcatheter aortic valve implantation (TAVI). A meta-analysis of cohort studies was conducted to assess the efficacy and safety of local anesthesia (LA) compared to general anesthesia (GA) in TAVI. All relevant studies published from 1 January 2002, to 31 June 2022, were searched in Ovid, PubMed, Embase, Web of Science, and Cochrane Library. A total of 34 studies involving 23,480 patients were included in the meta-analysis. TAVI with LA was associated with a significant reduction in hospital stay [WMD = −2.48, 95% CI (−2.80, −2.16), p < 0.00001], operative [WMD = −12.25, 95% CI (−13.73, −10.78), p < 0.00001] and fluoroscopy time [WMD = −3.30, 95% CI (−5.40, −1.19), p = 0.002], and an increased risk of acute kidney injury [OR = 1.31, 95% CI (1.01, 1.69), p = 0.04] and a reduced incidence of major bleeding [OR = 0.59, 95% CI (0.46, 0.75), p < 0.0001] and the use of cardiovascular drugs [OR = 0.17, 95% CI (0.05, 0.57), p = 0.004]. No differences were found between LA and GA for 30-day mortality, procedural success rate, myocardial infarction, permanent pacemaker implantation, paravalvular leak, shock, and cerebrovascular events. Overall, 4.4% of LA converted to GA. Based on current evidence, our results suggested that LA strategies reduced hospital stay, operative time, fluoroscopy time, cardiovascular drug consumption, and major bleeding rates in patients undergoing TAVI but led to increased acute kidney injury rates. Further studies and randomized trials are required to verify the presented findings and to identify patients who might benefit from LA.
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Performance of administrative database frailty instruments in predicting clinical outcomes and cost for patients undergoing transcatheter aortic valve implantation: a historical cohort study. Can J Anaesth 2023; 70:116-129. [PMID: 36577891 DOI: 10.1007/s12630-022-02354-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 06/11/2022] [Accepted: 07/07/2022] [Indexed: 12/29/2022] Open
Abstract
PURPOSE Frailty instruments may improve prognostic estimates for patients undergoing transcatheter aortic valve implantation (TAVI). Few studies have evaluated and compared the performance of administrative database frailty instruments for patients undergoing TAVI. This study aimed to examine the performance of administrative database frailty instruments in predicting clinical outcomes and costs in patients who underwent TAVI. METHODS We conducted a historical cohort study of 3,848 patients aged 66 yr or older who underwent a TAVI procedure in Ontario, Canada from 1 April 2012 to 31 March 2018. We used the Johns Hopkins Adjusted Clinical Group (ACG) frailty indicator and the Hospital Frailty Risk Score (HFRS) to assign frailty status. Outcomes of interest were in-hospital mortality, one-year mortality, rehospitalization, and healthcare costs. We compared the performance of the two frailty instruments with that of a reference model that adjusted baseline covariates and procedural characteristics. Accuracy measures included c-statistics, Akaike information criterion (AIC), Bayesian information criterion (BIC), integrated discrimination improvement (IDI), net reclassification index (NRI), bias, and accuracy of cost estimates. RESULTS A total of 863 patients (22.4%) were identified as frail using the Johns Hopkins ACG frailty indicator and 865 (22.5%) were identified as frail using the HFRS. Although agreement between the frailty instruments was fair (Kappa statistic = 0.322), each instrument classified different subgroups as frail. Both the Johns Hopkins ACG frailty indicator (rate ratio [RR], 1.13; 95% confidence interval [CI], 1.06 to 1.20) and the HFRS (RR, 1.14; 95% CI, 1.07 to 1.21) were significantly associated with increased one-year costs. Compared with the reference model, both the Johns Hopkins ACG frailty indicator and HFRS significantly improved NRI for one-year mortality (Johns Hopkins ACG frailty indicator: NRI, 0.160; P < 0.001; HFRS: NRI, 0.146; P = 0.001) and rehospitalization (Johns Hopkins ACG frailty indicator: NRI, 0.201; P < 0.001; HFRS: NRI, 0.141; P = 0.001). These improvements in NRI largely resulted from classification improvement among those who did not experience the event. With one-year mortality, there was a significant improvement in IDI (IDI, 0.003; P < 0.001) with the Johns Hopkins ACG frailty indicator. This improvement in performance resulted from an increase in the mean probability of the event among those with the event. CONCLUSION Preoperative frailty assessment may add some predictive value for TAVI outcomes. Use of administrative database frailty instruments may provide small but significant improvements in case-mix adjustment when profiling hospitals for certain outcomes.
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Resistance Training in Patients With Coronary Artery Disease, Heart Failure, and Valvular Heart Disease: A REVIEW WITH SPECIAL EMPHASIS ON OLD AGE, FRAILTY, AND PHYSICAL LIMITATIONS. J Cardiopulm Rehabil Prev 2022; 42:304-315. [PMID: 36044760 DOI: 10.1097/hcr.0000000000000730] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PURPOSE Current guidelines recommend individually adapted resistance training (RT) as a part of the exercise regime in patients with cardiovascular diseases. The aim of this review was to provide insights into current knowledge and understanding of how useful, feasible, safe, and effective RT is in patients with coronary artery disease (CAD), heart failure (HF), and valvular heart disease (VHD), with particular emphasis on the role of RT in elderly and/or frail patients. REVIEW METHODS A review based on an intensive literature search: systematic reviews and meta-analyses published in 2010 or later; recent studies not integrated into meta-analyses or systematic reviews; additional manual searches. SUMMARY The results highlight the evaluation of effects and safety of RT in patients with CAD and HF with reduced ejection fraction (HFrEF) in numerous meta-analyses. In contrast, few studies have focused on RT in patients with HF with preserved ejection fraction (HFpEF) or VHD. Furthermore, few studies have addressed the feasibility and impact of RT in elderly cardiac patients, and data on the efficacy and safety of RT in frail elderly patients are limited. The review results underscore the high prevalence of age-related sarcopenia, disease-related skeletal muscle deconditioning, physical limitations, and frailty in older patients with cardiovascular diseases (CVD). They underline the need for individually tailored exercise concepts, including RT, aimed at improving functional status, mobility, physical performance and muscle strength in older patients. Furthermore, the importance of the use of assessment tools to diagnose frailty, mobility/functional capacity, and physical performance in the elderly admitted to cardiac rehabilitation is emphasized.
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Zisiopoulou M, Berkowitsch A, Neuber R, Gouveris H, Fichtlscherer S, Walther T, Vasa-Nicotera M, Seppelt P. Personalized Preoperative Prediction of the Length of Hospital Stay after TAVI Using a Dedicated Decision Tree Algorithm. J Pers Med 2022; 12:jpm12030346. [PMID: 35330346 PMCID: PMC8950279 DOI: 10.3390/jpm12030346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The aim of this study was to identify pre-operative parameters able to predict length of stay (LoS) based on clinical data and patient-reported outcome measures (PROMs) from a scorecard database in patients with significant aortic stenosis who underwent TAVI (transfemoral aortic valve implantation). Methods: 302 participants (51.7% males, age range 78.2−84.2 years.) were prospectively recruited. After computing the median LoS value (=6 days, range = 5−8 days), we implemented a decision tree algorithm by setting dichotomized values at median LoS as the dependent variable and assessed baseline clinical variables and PROMs (Clinical Frailty Scale (CFS), EuroQol-5 Dimension-5 Levels (EQ-5D) and Kansas City Cardiomyopathy Questionnaire (KCCQ)) as potential predictors. Results: Among clinical parameters, only peripheral arterial disease (p = 0.029, HR = 1.826) and glomerular filtration rate (GFR, cut-off < 33 mL/min/1.73 m2, p = 0.003, HR = 2.252) were predictive of LoS. Additionally, two PROMs (CFS; cut-off = 3, p < 0.001, HR = 1.324 and KCCQ; cut-off = 30, p = 0.003, HR = 2.274) were strong predictors. Further, a risk score for LoS (RS_LoS) was calculated based on these predictors. Patients with RS_LoS = 0 had a median LoS of 5 days; patients RS_LoS ≥ 3 had a median LoS of 8 days. Conclusions: based on the pre-operative values of the above four predictors, a personalized prediction of LoS after TAVI can be achieved.
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Affiliation(s)
- Maria Zisiopoulou
- Department of Cardiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany; (A.B.); (R.N.); (S.F.); (M.V.-N.); (P.S.)
- Correspondence: ; Tel.: +49-69-6301-832-90
| | - Alexander Berkowitsch
- Department of Cardiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany; (A.B.); (R.N.); (S.F.); (M.V.-N.); (P.S.)
| | - Ralf Neuber
- Department of Cardiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany; (A.B.); (R.N.); (S.F.); (M.V.-N.); (P.S.)
| | - Haralampos Gouveris
- Quality Management, Department of Otorhinolaryngology, University Medical Center Mainz, 55131 Mainz, Germany;
| | - Stephan Fichtlscherer
- Department of Cardiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany; (A.B.); (R.N.); (S.F.); (M.V.-N.); (P.S.)
| | - Thomas Walther
- Department of Cardiothoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany;
| | - Mariuca Vasa-Nicotera
- Department of Cardiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany; (A.B.); (R.N.); (S.F.); (M.V.-N.); (P.S.)
| | - Philipp Seppelt
- Department of Cardiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, 60590 Frankfurt am Main, Germany; (A.B.); (R.N.); (S.F.); (M.V.-N.); (P.S.)
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12
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Patel KP, Treibel TA, Scully PR, Fertleman M, Searle S, Davis D, Moon JC, Mullen MJ. Futility in Transcatheter Aortic Valve Implantation: A Search for Clarity. Interv Cardiol 2022; 17:e01. [PMID: 35111240 PMCID: PMC8790725 DOI: 10.15420/icr.2021.15] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 10/05/2021] [Indexed: 12/12/2022] Open
Abstract
Although transcatheter aortic valve implantation (TAVI) has revolutionised the landscape of treatment for aortic stenosis, there exists a cohort of patients where TAVI is deemed futile. Among the pivotal high-risk trials, one-third to half of patients either died or received no symptomatic benefit from the procedure at 1 year. Futility of TAVI results in the unnecessary exposure of risk for patients and inefficient resource utilisation for healthcare services. Several cardiac and extra-cardiac conditions and frailty increase the risk of mortality despite TAVI. Among the survivors, these comorbidities can inhibit improvements in symptoms and quality of life. However, certain conditions are reversible with TAVI (e.g. functional mitral regurgitation), attenuating the risk and improving outcomes. Quantification of disease severity, identification of reversible factors and a systematic evaluation of frailty can substantially improve risk stratification and outcomes. This review examines the contribution of pre-existing comorbidities towards futility in TAVI and suggests a systematic approach to guide patient evaluation.
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Affiliation(s)
- Kush P Patel
- Institute of Cardiovascular Sciences, University College London London, UK.,Barts Heart Centre, St Bartholomew's Hospital London, UK
| | - Thomas A Treibel
- Institute of Cardiovascular Sciences, University College London London, UK.,Barts Heart Centre, St Bartholomew's Hospital London, UK
| | - Paul R Scully
- Institute of Cardiovascular Sciences, University College London London, UK.,Barts Heart Centre, St Bartholomew's Hospital London, UK
| | - Michael Fertleman
- Cutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College London London, UK
| | - Samuel Searle
- MRC Unit for Lifelong Health and Ageing, University College London London, UK
| | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing, University College London London, UK
| | - James C Moon
- Institute of Cardiovascular Sciences, University College London London, UK.,Barts Heart Centre, St Bartholomew's Hospital London, UK
| | - Michael J Mullen
- Institute of Cardiovascular Sciences, University College London London, UK.,Barts Heart Centre, St Bartholomew's Hospital London, UK
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13
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Massussi M, Metra M, Adamo M. Sarcopenia detected by computed tomography: a simple tool for screening transcatheter aortic valve implantation candidates. J Cardiovasc Med (Hagerstown) 2022; 23:69-70. [PMID: 34874338 DOI: 10.2459/jcm.0000000000001240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Mauro Massussi
- Cardiac Catheterization Laboratory and Cardiology, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia.,Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua Medical School, Padua, Italy
| | - Marco Metra
- Cardiac Catheterization Laboratory and Cardiology, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia
| | - Marianna Adamo
- Cardiac Catheterization Laboratory and Cardiology, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia
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14
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Schwaab B, Bjarnason-Wehrens B, Meng K, Albus C, Salzwedel A, Schmid JP, Benzer W, Metz M, Jensen K, Rauch B, Bönner G, Brzoska P, Buhr-Schinner H, Charrier A, Cordes C, Dörr G, Eichler S, Exner AK, Fromm B, Gielen S, Glatz J, Gohlke H, Grilli M, Gysan D, Härtel U, Hahmann H, Herrmann-Lingen C, Karger G, Karoff M, Kiwus U, Knoglinger E, Krusch CW, Langheim E, Mann J, Max R, Metzendorf MI, Nebel R, Niebauer J, Predel HG, Preßler A, Razum O, Reiss N, Saure D, von Schacky C, Schütt M, Schultz K, Skoda EM, Steube D, Streibelt M, Stüttgen M, Stüttgen M, Teufel M, Tschanz H, Völler H, Vogel H, Westphal R. Cardiac Rehabilitation in German Speaking Countries of Europe-Evidence-Based Guidelines from Germany, Austria and Switzerland LLKardReha-DACH-Part 2. J Clin Med 2021; 10:jcm10143071. [PMID: 34300237 PMCID: PMC8306118 DOI: 10.3390/jcm10143071] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/29/2021] [Accepted: 07/05/2021] [Indexed: 02/08/2023] Open
Abstract
Background: Scientific guidelines have been developed to update and harmonize exercise based cardiac rehabilitation (ebCR) in German speaking countries. Key recommendations for ebCR indications have recently been published in part 1 of this journal. The present part 2 updates the evidence with respect to contents and delivery of ebCR in clinical practice, focusing on exercise training (ET), psychological interventions (PI), patient education (PE). In addition, special patients’ groups and new developments, such as telemedical (Tele) or home-based ebCR, are discussed as well. Methods: Generation of evidence and search of literature have been described in part 1. Results: Well documented evidence confirms the prognostic significance of ET in patients with coronary artery disease. Positive clinical effects of ET are described in patients with congestive heart failure, heart valve surgery or intervention, adults with congenital heart disease, and peripheral arterial disease. Specific recommendations for risk stratification and adequate exercise prescription for continuous-, interval-, and strength training are given in detail. PI when added to ebCR did not show significant positive effects in general. There was a positive trend towards reduction in depressive symptoms for “distress management” and “lifestyle changes”. PE is able to increase patients’ knowledge and motivation, as well as behavior changes, regarding physical activity, dietary habits, and smoking cessation. The evidence for distinct ebCR programs in special patients’ groups is less clear. Studies on Tele-CR predominantly included low-risk patients. Hence, it is questionable, whether clinical results derived from studies in conventional ebCR may be transferred to Tele-CR. Conclusions: ET is the cornerstone of ebCR. Additional PI should be included, adjusted to the needs of the individual patient. PE is able to promote patients self-management, empowerment, and motivation. Diversity-sensitive structures should be established to interact with the needs of special patient groups and gender issues. Tele-CR should be further investigated as a valuable tool to implement ebCR more widely and effectively.
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Affiliation(s)
- Bernhard Schwaab
- Curschmann Klinik, D-23669 Timmendorfer Strand, Germany
- Medizinische Fakultät, Universität zu Lübeck, D-23562 Lübeck, Germany
- Correspondence:
| | - Birna Bjarnason-Wehrens
- Institute for Cardiology and Sports Medicine, Department of Preventive and Rehabilitative Sport- and Exercise Medicine, German Sportuniversity Cologne, D-50933 Köln, Germany; (B.B.-W.); (H.-G.P.)
| | - Karin Meng
- Institute for Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, D-97080 Würzburg, Germany;
| | - Christian Albus
- Department of Psychosomatics and Psychotherapy, Faculty of Medicine, University Hospital, D-50937 Köln, Germany;
| | - Annett Salzwedel
- Department of Rehabilitation Medicine, Faculty of Health Sciences Brandenburg, University of Potsdam, D-14469 Potsdam, Germany; (A.S.); (S.E.); or (H.V.)
| | | | | | - Matthes Metz
- Institute of Medical Biometry and Informatics (IMBI), University of Heidelberg, D-69120 Heidelberg, Germany; (M.M.); (K.J.); (D.S.)
| | - Katrin Jensen
- Institute of Medical Biometry and Informatics (IMBI), University of Heidelberg, D-69120 Heidelberg, Germany; (M.M.); (K.J.); (D.S.)
| | - Bernhard Rauch
- Institut für Herzinfarktforschung Ludwigshafen, IHF, D-67063 Ludwigshafen am Rhein, Germany;
- Zentrum für ambulante Rehabilitation, ZAR Trier GmbH, D-54292 Trier, Germany
| | - Gerd Bönner
- Medizinische Fakultät, Albert-Ludwigs-Universität zu Freiburg, D-79104 Freiburg, Germany;
| | - Patrick Brzoska
- Fakultät für Gesundheit, Universität Witten/Herdecke, Lehrstuhl für Versorgungsforschung, D-58448 Witten, Germany;
| | | | | | - Carsten Cordes
- Gollwitzer-Meier-Klinik, D-32545 Bad Oeynhausen, Germany;
| | - Gesine Dörr
- Alexianer St. Josefs-Krankenhaus Potsdam, D-14472 Potsdam, Germany;
| | - Sarah Eichler
- Department of Rehabilitation Medicine, Faculty of Health Sciences Brandenburg, University of Potsdam, D-14469 Potsdam, Germany; (A.S.); (S.E.); or (H.V.)
| | - Anne-Kathrin Exner
- Klinikum Lippe GmbH, Standort Detmold, D-32756 Detmold, Germany; (A.-K.E.); (S.G.)
| | - Bernd Fromm
- REHA-Klinik Sigmund Weil, D-76669 Bad Schönborn, Germany;
| | - Stephan Gielen
- Klinikum Lippe GmbH, Standort Detmold, D-32756 Detmold, Germany; (A.-K.E.); (S.G.)
| | - Johannes Glatz
- Reha-Zentrum Seehof der Deutschen Rentenversicherung Bund, D-14513 Teltow, Germany; (J.G.); (E.L.)
| | - Helmut Gohlke
- Private Practice, D-79282 Ballrechten-Dottingen, Germany;
| | - Maurizio Grilli
- Library Department, University Medical Centre Mannheim, D-68167 Mannheim, Germany;
| | - Detlef Gysan
- Department für Humanmedizin, Private Universität Witten/Herdecke GmbH, D-58455 Witten, Germany;
| | - Ursula Härtel
- LMU München, Institut für Medizinische Psychologie, D-80336 München, Germany;
| | | | - Christoph Herrmann-Lingen
- Department of Psychosomatic Medicine and Psychotherapy, University of Göttingen Medical Center and German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, D-37075 Göttingen, Germany;
| | | | | | | | | | | | - Eike Langheim
- Reha-Zentrum Seehof der Deutschen Rentenversicherung Bund, D-14513 Teltow, Germany; (J.G.); (E.L.)
| | | | - Regina Max
- Zentrum für Rheumatologie, Drs. Dornacher/Schmitt/Max/Lutz, D-69115 Heidelberg, Germany;
| | - Maria-Inti Metzendorf
- Cochrane Metabolic and Endocrine Disorders Group, Institute of General Practice, Medical Faculty of the Heinrich-Heine University, D-40225 Düsseldorf, Germany;
| | - Roland Nebel
- Hermann-Albrecht-Klinik METTNAU, Reha-Einrichtungen der Stadt Radolfzell, D-7385 Radolfzell, Germany;
| | - Josef Niebauer
- Universitätsinstitut für Präventive und Rehabilitative Sportmedizin, Uniklinikum Salzburg, Paracelsus Medizinische Privatuniversität, A-5020 Salzburg, Austria;
| | - Hans-Georg Predel
- Institute for Cardiology and Sports Medicine, Department of Preventive and Rehabilitative Sport- and Exercise Medicine, German Sportuniversity Cologne, D-50933 Köln, Germany; (B.B.-W.); (H.-G.P.)
| | - Axel Preßler
- Privatpraxis für Kardiologie, Sportmedizin, Prävention, Rehabilitation, D-81675 München, Germany;
| | - Oliver Razum
- Epidemiologie und International Public Health, Fakultät für Gesundheitswissenschaften, Universität Bielefeld, D-33615 Bielefeld, Germany;
| | - Nils Reiss
- Schüchtermann-Schiller’sche Kliniken, D-49214 Bad Rothenfelde, Germany;
| | - Daniel Saure
- Institute of Medical Biometry and Informatics (IMBI), University of Heidelberg, D-69120 Heidelberg, Germany; (M.M.); (K.J.); (D.S.)
| | | | - Morten Schütt
- Diabetologische Schwerpunktpraxis, D-23552 Lübeck, Germany;
| | - Konrad Schultz
- Klinik Bad Reichenhall, Zentrum für Rehabilitation, Pneumologie und Orthopädie, D-83435 Bad Reichenhall, Germany;
| | - Eva-Maria Skoda
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR University Hospital, University of Duisburg-Essen, D-45147 Essen, Germany; (E.-M.S.); (M.T.)
| | | | - Marco Streibelt
- Department for Rehabilitation Research, German Federal Pension Insurance, D-10704 Berlin, Germany;
| | | | | | - Martin Teufel
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR University Hospital, University of Duisburg-Essen, D-45147 Essen, Germany; (E.-M.S.); (M.T.)
| | | | - Heinz Völler
- Department of Rehabilitation Medicine, Faculty of Health Sciences Brandenburg, University of Potsdam, D-14469 Potsdam, Germany; (A.S.); (S.E.); or (H.V.)
- Klinik am See, D-15562 Rüdersdorf, Germany
| | - Heiner Vogel
- Abteilung für Medizinische Psychologie und Psychotherapie, Medizinische Soziologie und Rehabilitationswissenschaften, Universität Würzburg, D-97070 Würzburg, Germany;
| | - Ronja Westphal
- Herzzentrum Segeberger Kliniken, D-23795 Bad Segeberg, Germany;
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