Literature DB >> 31308839

Value of a comprehensive geriatric assessment for predicting one-year outcomes in patients undergoing transcatheter aortic valve implantation: results from the CGA-TAVI multicentre registry.

Martijn S van Mourik1, Nathalie van der Velde2, Giulio Mannarino3, Marie-Pierre Thibodeau4, Jean-Bernard Masson4, Gennaro Santoro3, Jan Baan1, Sofie Jansen2, Jana Kurucova5, Martin Thoenes6, Cornelia Deutsch7, Andreas W Schoenenberger8, Andrea Ungar3, Peter Bramlage7, M Marije Vis1.   

Abstract

BACKGROUND: In a three-month report from the CGA-TAVI registry, we found the Multidimensional Prognostic Index (MPI) and Short Physical Performance Battery (SPPB) to be of value for predicting short-term outcomes in elderly patients undergoing transcatheter aortic valve implantation (TAVI). In the present analysis, we examined the association of these tools with outcomes up to one year post-TAVI.
METHODS: CGA-TAVI is an international, observational registry of geriatric patients undergoing TAVI. Patients were assessed using the MPI and SPPB. Efficacy of baseline values and any postoperative change for predicting outcome were established using logistic regression. Kaplan-Meier analysis was carried out for each comprehensive geriatric assessment tool, with survival stratified by risk category.
RESULTS: One year after TAVI, 14.1% of patients deceased, while 17.4% met the combined endpoint of death and/or non-fatal stroke, and 37.7% the combined endpoint of death and/or hospitalisation and/or non-fatal stroke. A high-risk MPI score was associated with an increased risk of all-cause mortality (aOR = 36.13, 95% CI: 2.77-470.78, P = 0.006) and death and/or non-fatal stroke (aOR = 10.10, 95% CI: 1.48-68.75, P = 0.018). No significant associations were found between a high-risk SPPB score and mortality or two main combined endpoints. In contrast to a worsening SPPB, an aggravating MPI score at three months post-TAVI was associated with an increased risk of death and/or non-fatal stoke at one year (aOR = 95.16, 95% CI: 3.41-2657.01).
CONCLUSIONS: The MPI showed value for predicting the likelihood of death and a combination of death and/or non-fatal stroke by one year after TAVI in elderly patients.

Entities:  

Keywords:  Comprehensive geriatric assessment; Multidimensional prognostic index; Short physical performance battery; Silver code; Transcatheter aortic valve implantation

Year:  2019        PMID: 31308839      PMCID: PMC6612614          DOI: 10.11909/j.issn.1671-5411.2019.06.001

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


Introduction

It has been suggested that performing a comprehensive geriatric assessment (CGA) which includes variables related to frailty, mental and physical status, social support, and overall health prior to transcatheter aortic valve implantation (TAVI) may provide valuable information to aid candidate selection among elderly patients.[1],[2] Recent evidence from a single-centre observational study suggests that the Multidimensional Prognostic Index (MPI), which was originally developed to assess mortality after hospitalisation of elderly patients,[3] can accurately predict outcomes for up to twelve months post-procedure in geriatric patients undergoing TAVI.[4] Similarly, in a previous analysis of the present registry (CGA-TAVI), we found a higher MPI to be predictive of death/stroke by three months post-TAVI.[5] In that previous analysis, we also assessed the Silver Code (SC) and Short Physical Performance Battery (SPPB) tools,[6],[7] and found the latter to also have some predictive value for short-term outcomes in elderly patients post-TAVI.[5] In the present manuscript, we analysed the CGA-TAVI registry data with the aim of assessing the value of the two principal CGA tools (MPI and SPPB) from the previous analysis for predicting outcomes in the year following TAVI.

Methods

The design and rationale of the prospective, international, multicentre, observational CGA-TAVI registry has been previously described.[8] Consequently, only a brief overview is included herein. Elderly patients with severe aortic stenosis (AS) were enrolled at one of three hospitals or medical centres in Italy, the Netherlands and Canada between August 2013 and December 2015. The study was approved by the responsible ethics committee at each participating site. All subjects gave their written informed consent to participate.

Inclusion/exclusion criteria

Patients meeting the following criteria were eligible for inclusion: severe, symptomatic, and calcific AS; age ≥ 80 years; scheduled to undergo transapical- or transfemoral-TAVI; adequate time to perform CGA prior to the procedure (i.e., not an emergency); and ability to participate in follow-up examinations.

Baseline assessment

At baseline, details of patient demographics, comorbidities, prior cardiovascular interventions, cardiac characteristics, and surgical risk were documented. A geriatrician also carried out the CGA, with each patient evaluated using three assessment tools: the MPI (a mean of eight different components);[5],[8] the SPPB (consisting of repeated chair stands, balance testing, and walking 2.44 meters);[7] and the SC (an algorithm based on administrative data).[6] For the MPI and SC, a lower score indicates a better prognosis; while the inverse is true for the SPPB. Data for the SC are not included in the current analysis, because it did not show any predictive ability in the prior analysis of short-term outcomes in the study population.[5]

Follow-up

Patients were followed-up at thirty days and three months (data previously published),[5] and again at one year by either telephone or outpatient clinic visit. Recorded outcomes at one year were death, non-fatal stroke, hospitalisation for valve-related symptoms or worsening congestive heart failure, major vascular complications, repeat procedure for valve dysfunction, valve thrombosis, and thrombo-embolic events (all as defined by the Valve Academic Research Consortium-2 criteria),[9] and selected combinations thereof. These data were used to identify any associations between baseline MPI and SPPB scores (or postoperative change in scores) and clinical outcomes at one year. The main endpoints of interest for the current analysis were all-cause mortality and a composite endpoint of death and/or non-fatal stroke.

Statistical analysis

Data are presented using descriptive statistics, with absolute values and percentages given for categorical variables and means ± SD for continuous variables. For the purposes of assessing survival, Kaplan-Meier analysis was carried out, with patients stratified into good and poor prognosis groups based on their scores in each of the GCA tools (MPI: mean of 0.0–0.33 and 0.34–1.0, respectively; and SPPB: 7–12 and 0–6 points, respectively). The value of each CGA tool and each of their components for predicting primary and secondary outcomes at one year was assessed using logistic regression. Regression results are presented as odds ratio (OR) with 95% confidence intervals (CI) and P-values. Data were analysed using IBM SPSS statistics version 24 (IBM corporation, Amonk, New York, USA). In all cases, significance was determined by a P-value < 0.05.

Results

Baseline patient characteristics

The baseline characteristics of the 71 patients included in the analysis have been described before.[5] In short, the mean ± SD age of the study population was 85.4 ± 2.9 years, patients had a body mass index of 24.7 ± 3.7 kg/m2, the most common comorbidities were hypertension (83.1%) and coronary artery disease (53.5%), and more than 80% of patients were in New York Heart Association (NYHA) class III or IV. AS-related symptoms included class III angina (10%), dizziness on exertion (7.0%) and syncope (7.0%); the mean aortic valve gradient was 50.5 ±14.1 mmHg and mean left ventricular ejection fraction was 50.9% ± 12.0%. In terms of surgical risk, mean ± SD values for the log EuroSCORE I and Society of Thoracic Surgeons score were 22.5 ± 13.2 and 5.8 ± 3.9, respectively.

Outcomes at one year

Outcomes at one year (mortality, non-fatal complications and combined endpoints) are summarised in Table 1 and were available for 70 patients (98.6%). By one year after TAVI, 10 of 70 (14.1%) patients had died, while 12 of 69 (17.4%) had met the combined endpoint of death and/or non-fatal stroke, and 26 of 69 (37.7%) had met the combined endpoint of death and/or re-hospitalisation and/or non-fatal stroke.
Table 1.

Outcomes within one year after TAVI by MPI/SPPB score, and association between MPI/SPPB score and outcomes (logistic regression analysis).

MPI scoreTotalHigh risk (0.34 to 1.00)Low risk (0 to 0.33)Univariable
Multivariable*
OR (95% CI)P-valueOR (95% CI)P-value
All-cause mortality10/70 (14.1%)7/28 (25.0%)3/42 (7.1%)4.33 (1.01–18.53)0.04836.13 (2.77–470.78)0.006
Combined endpoint
Death and/or re-hospitalisation25/69 (36.2%)13/28 (46.4%)12/41 (29.3%)2.09 (0.77–5.71)0.153.66 (1.01–13.33)0.049
Death and/or non-fatal stroke12/69 (17.4%)7/28 (25.0%)5/41 (12.2%)2.40 (0.68–8.53)0.1810.10 (1.48–68.75)0.018
Death, re-hospitalisation and/or stroke26/69 (37.7%)13/28 (46.4%)13/41 (31.7%)1.87 (0.69–5.03)0.222.65 (0.79–8.92)0.11
Death, re-hospitalisation, stroke, AKI, MVC, repeat procedure, MI, PPI33/69 (47.8%)15/28 (53.6%)18/41 (43.9%)1.47 (0.56–3.87)0.431.49 (0.50–4.49)0.47
Non-fatal complications
Non-valve related re-hospitalization14/69 (20.3%)6/28 (21.4%)8/41 (19.5%)1.13 (0.34–3.69)0.851.48 (0.36–6.15)0.59
Valve-related re-hospitalisation6/69 (8.7%)3/28 (10.7%)3/41 (7.3%)1.52 (0.28–8.14)0.630.78 (0.09–6.78)0.82
Non-fatal stroke2/69 (2.9%)0/28 (0%)2/41 (4.9%)----
Acute kidney injury (stage 2 or 3)4/69 (5.8%)3/28 (10.7%)1/41 (2.4%)4.80 (0.47–48.73)0.1913.00 (0.31–540.14)0.18
Major vascular complication2/69 (2.9%)2/28 (7.1%)0/41 (0%)----
Repeat procedure for valve dysfunction1/69 (1.4%)1/28 (3.6%)0/41 (0%)----
Myocardial infarction2/69 (2.9%)0/28 (0%)2/41 (4.9%)----
PPI11/69 (15.9%)4/28 (14.3%)7/41 (17.1%)0.81 (0.21–3.08)0.760.44 (0.09–2.10)0.30

SPPB-scoreTotalHigh risk (0 to 6)Low risk (7 to12)Univariable
Multivariable*
OR (95% CI)P-valueOR (95% CI)P-value

All-cause mortality10/70 (14.1%)9/39 (23.1%)1/31 (3.2%)9.00 (1.07–75.51)0.0437.09 (0.70–71.89)0.097
Combined endpoint
Death and/or re-hospitalisation25/69 (36.2%)16/38 (42.1%)9/31 (29.0%)1.78 (0.65–4.87)0.261.37 (0.41–4.53)0.61
Death and/or non-fatal stroke12/69 (17.4%)10/38 (26.3%)2/31 (6.5%)5.18 (1.04–25.77)0.0458.79 (0.93–83.34)0.058
Death, re-hospitalisation and/or stroke26/69 (37.7%)17/38 (44.7%)9/31 (29.0%)1.98 (0.72–5.41)0.181.62 (0.50–5.19)0.42
Death, re-hospitalisation, stroke, AKI, MVC, repeat procedure, MI, PPI33/69 (47.8%)23/38 (60.5%)10/31 (32.3%)3.22 (1.19–8.71)0.0213.19 (1.03–9.89)0.045
Non-fatal complications
Non-valve related re-hospitalization14/69 (20.3%)8/38 (21.1%)6/31 (19.4%)1.11 (0.34–3.63)0.860.94 (0.21–4.09)0.93
Valve-related re-hospitalisation6/69 (8.7%)3/38 (7.9%)3/31 (9.7%)0.80 (0.15–4.27)0.790.53 (0.08–3.55)0.52
Non-fatal stroke2/69 (2.9%)1/38 (2.6%)1/31 (3.2%)0.81 (0.049–13.51)0.88--
Acute kidney injury (stage 2 or 3)4/69 (5.8%)3/38 (7.9%)1/31 (3.2%)2.57 (0.25–26.04)0.421.09 (0.07–17.86)0.95
Major vascular complication2/69 (2.9%)2/38 (5.3%)0/31 (0%)----
Repeat procedure for valve dysfunction1/69 (1.4%)0/38 (0%)1/31 (3.2%)----
Myocardial infarction2/69 (2.9%)0/38 (0%)2/31 (6.5%)----
PPI11/69 (15.9%)9/38 (23.7%)2/31 (6.5%)4.50 (0.89–22.66)0.074.07 (0.72–22.94)0.11

Data are presented as n /N (%) unless other indicated. *Adjusted for age, gender, NYHA class and surgical risk (EuroScore). n /N refers the ratio of number of patients with outcome to number of patients at risk. AKI: acute kidney injury; MI: myocardial infarction; MPI: multidimensional prognostic index; MVC: major vascular complication; OR: odds ratio; PPI: permanent pacemaker implantation; SPPB: short physical performance battery; TAVI: transcatheter aortic valve implantation.

Data are presented as n /N (%) unless other indicated. *Adjusted for age, gender, NYHA class and surgical risk (EuroScore). n /N refers the ratio of number of patients with outcome to number of patients at risk. AKI: acute kidney injury; MI: myocardial infarction; MPI: multidimensional prognostic index; MVC: major vascular complication; OR: odds ratio; PPI: permanent pacemaker implantation; SPPB: short physical performance battery; TAVI: transcatheter aortic valve implantation.

Association of MPI and SPPB with one-year outcomes

Outcomes within one year after TAVI for patients stratified into high- and low-risk groups according to MPI score are summarised in Table 1, together with the results of logistic regression analysis evaluating the relationship between baseline MPI score and outcomes. After adjustment for other baseline characteristics (including age, gender, NYHA class, and EuroScore surgical risk score), a high-risk MPI score was associated with an increased risk of all-cause mortality (adjusted OR = 36.13, 95% CI: 2.77–470.78, P = 0.006) and the combined endpoint of death and/or non-fatal stroke (aOR = 10.10, 95% CI: 1.48–68.75, P = 0.018). Kaplan-Meier analysis curves stratified by MPI risk group are shown for survival (Figure 1A), freedom from death and/or non-fatal stroke (Figure 1C) and freedom from death/hospitalisation/stroke (Figure 1E).
Figure 1.

Kaplan-Meier survival analysis stratified by MPI group (A), SPPB group (B) and score & Kaplan-Meier analysis for the freedom from death and stroke stratified by MPI group (C), SPPB group (D) and score & Kaplan-Meier analysis for the freedom from death, re-hospitalization and stroke stratified by MPI group (E), SPPB group (F) and score.

MPI: multidimensional prognostic index; SPPB: short physical performance battery.

Kaplan-Meier survival analysis stratified by MPI group (A), SPPB group (B) and score & Kaplan-Meier analysis for the freedom from death and stroke stratified by MPI group (C), SPPB group (D) and score & Kaplan-Meier analysis for the freedom from death, re-hospitalization and stroke stratified by MPI group (E), SPPB group (F) and score.

MPI: multidimensional prognostic index; SPPB: short physical performance battery. Outcomes within one year after TAVI for patients stratified by SPPB risk, and the results of the analysis of the relationship between baseline SPPB score and outcomes, are summarised in Table 1. After adjustment for other baseline characteristics, no significant associations were found between a high-risk SPPB score and mortality, or the combined endpoints of death and/or non-fatal stroke, or death/hospitalisation/stroke. However, a high-risk SPPB score was independently associated with an increased risk of a composite endpoint comprising all fatal and non-fatal endpoints evaluated (i.e., death/hospitalisation/non-fatal stroke/acute kidney injury/major vascular complication/repeated procedure/myocardial infarction/permanent pacemaker implantation, aOR = 3.19, 95% CI: 1.03–9.89, P = 0.045). Kaplan-Meier analysis curves stratified by SPPB risk group are shown for survival (Figure 1B), freedom from death and/or non-fatal stroke (Figure 1D) and freedom from death/re-hospitalization/stroke (Figure 1F).

Association of MPI and SPPB components with one-year outcomes

Associations between components of the MPI and SPPB and key combined outcomes at one year are summarised in Table 2 (association with death and/or re-hospitalization and/or stroke and association with death and/or stroke). After adjusting for baseline characteristics, the only MPI components associated with the combined endpoint of death and/or stroke at one year were worse Activities of Daily Living (ADL) score (aOR = 13.21, 95% CI: 1.54–113.72, P = 0.019) and worse Exton-Smith Scale (ESS) score (aOR = 9.30, 95% CI: 1.63–53.19, P = 0.012). The only MPI components associated with an increased risk of the combined endpoint of death and/or re-hospitalization and/or stroke at one year were worse Mini Nutritional Assessment (MNA) score (aOR = 3.42, 95% CI: 1.04–11.18, P = 0.042) and worse ESS score (aOR = 13.72, 95% CI: 1.64–115.06, P = 0.016). No SPPB components were significantly associated with either of these outcomes in the adjusted analysis.
Table 2.

Association of MPI and SPPB components with combined outcome of mortality and/or re-hospitalization and/or stroke and association of MPI and SPPB components with combined outcome of mortality and/or stroke at one year after TAVI.

Mortality, any re-hospitalization, or stroke
Univariable Events in high vs. low risk
Multivariable* Events in high vs. low risk
High risk (MPI = 0.34 to 1 or components = 0.5 to 1)Low risk (MPI = 0 to 0.33 or components = 0)OR (95% CI)P-valueOR (95% CI)P-value
MPI13/28 (46.4%)13/41 (31.7%)1.87 (0.69–5.03)0.222.65 (0.79–8.92)0.11
Co-habitation status11/29 (37.9%)15/40 (37.5%)1.02 (0.38–2.73)0.971.45 (0.43–4.90)0.55
Current medication use25/68 (36.8%)1/1 (100%)----
ADL score5/7 (71.4%)21/62 (33.9%)4.88 (0.87–27.32)0.0714.26 (0.67–27.18)0.13
IADL score8/17 (47.1%)18/52 (34.6%)1.68 (0.55–5.10)0.361.377 (0.38–5.03)0.63
SPMSQ score1/1 (100%)25/68 (36.8%)----
CIRS CI25/67 (37.3%)1/2 (50.0%)0.60 (0.04–9.94)0.720.65 (0.03–14.32)0.65
MNA score16/35 (45.7%)10/34 (29.4%)2.02 (0.75–5.46)0.173.42 (1.04–11.18)0.042
ESS7/9 (77.8%)19/60 (31.7%)7.55 (1.43–39.84)0.01713.72 (1.64–115.06)0.016

(SPPB = 0 to 6 or components = 0 to 2)(SPPB = 7 to 12 or components = 3 to 4)OR (95% CI)P-valueOR (95% CI)P-value

SPPB17/38 (44.7%)9/31 (29.0%)1.98 (0.72–5.41)0.181.62 (0.50–5.19)0.42
Repeated Chair Stands21/58 (36.2%)5/11 (45.5%)0.68 (0.19–2.50)0.560.45 (0.09–2.16)0.32
Balance Testing15/31 (48.4%)11/38 (28.9%)2.30 (0.85–6.22)0.101.97 (0.67–5.81)0.22
Eight-foot walk21/45 (46.7%)5/24 (20.8%)3.33 (1.06–10.46)0.0403.40 (0.93–12.46)0.064

Mortality and stroke
Univariable Events in high vs. low risk
Multivariable* Events in high vs. low risk
High risk (MPI = 0.34 to 1 or components = 0.5 to 1)Low risk (MPI = 0 to 0.33 or components = 0)OR (95% CI)P-valueOR (95% CI)P-value

MPI7/28 (25.0%)5/41 (12.2%)2.40 (0.68–8.53)0.1810.10 (1.48–68.75)0.018
Co-habitation status5/29 (17.2%)7/40 (17.5%)0.98 (0.28–3.47)0.981.88 (0.40–8.76)0.42
Current medication use12/68 (17.6%)0/1 (0%)----
ADL score3/7 (42.9%)9/62 (14.5%)4.42 (0.84–23.12)0.0813.21 (1.54–113.72)0.019
IADL score3/17 (17.6%)9/52 (17.3%)1.02 (0.24–4.32)0.971.10 (0.22–5.63)0.91
SPMSQ score0/1 (0%)12/68 (17.6%)----
CIRS CI12/67 (17.9%)0/2 (0%)----
MNA score7/35 (20.0%)5/34 (14.7%)1.45 (0.41–5.11)0.562.40 (0.51–11.37)0.27
ESS5/9 (55.6%)7/60 (11.7%)9.46 (2.04–43.84)0.0049.30 (1.63–53.19)0.012

(SPPB = 0 to 6 or components = 0 to 2)(SPPB = 7 to 12 or components = 3 to 4)OR (95% CI)P-valueOR (95% CI)P-value

SPPB10/38 (26.3%)2/31 (6.5%)5.18 (1.04–25.77)0.0458.79 (0.93–83.34)0.058
Repeated Chair Stands10/58 (17.2%)2/11 (18.2%)0.94 (0.18–5.01)0.940.91 (0.12–7.14)0.93
Balance Testing9/31 (29.0%)3/38 (7.9%)4.77 (1.16–19.57)0.034.44 (0.95–20.73)0.058
Eight-foot walk11/45 (24.4%)1/24 (4.2%)7.44 (0.90–61.65)0.06--

Data are presented as n /N (%) unless other indicated. *Adjusted for age, gender, NYHA class and surgical risk (EuroScore). n /N refers the ratio of number of patients with outcome to number of patients at risk. ADL: activities of daily living; CIRS: cumulative illness rating scale; ESS: exton-smith scale; IADL: instrumental activities of daily living; MNA: mini nutritional assessment; MPI: multidimensional prognostic index; OR: odds ratio; SPMSQ: short portable mental status questionnaire; SPPB: short physical performance battery.

Data are presented as n /N (%) unless other indicated. *Adjusted for age, gender, NYHA class and surgical risk (EuroScore). n /N refers the ratio of number of patients with outcome to number of patients at risk. ADL: activities of daily living; CIRS: cumulative illness rating scale; ESS: exton-smith scale; IADL: instrumental activities of daily living; MNA: mini nutritional assessment; MPI: multidimensional prognostic index; OR: odds ratio; SPMSQ: short portable mental status questionnaire; SPPB: short physical performance battery.

Association of 3-month changes in MPI or SPPB with one-year outcomes

The relationship between a worsening MPI or SPPB score within three months after TAVI and outcomes at one year is summarised in Table 3. A worsening (increasing) MPI score at three months post-TAVI was associated with an increased risk of the combined endpoint of death and/or non-fatal stoke at one year in the adjusted analysis (aOR = 95.16, 95% CI: 3.41–2657.01). No significant independent relationships were found between worsening SSPB and one-year outcomes.
Table 3.

Outcomes at one year with respect to worsening of MPI or SPPB within three months after TAVI.

TotalScore components availableIncreasing MPI (n = 17)
Decreasing SPPB (n = 5)
TotalUnivariable OR (95% CI)Multivariable* OR (95% CI)TotalUnivariable OR (95% CI)Multivariable* OR (95% CI)
All-cause mortality10/70 (14.1%)4/56 (7.1%)4/17 (23.5%)--0/5 (0%)--
Combined endpoint
Death and/or hospitalisation25/69 (36.2%)17/55 (30.9%)6/17 (35.3%)1.34 (0.40–4.52)1.10 (0.27–4.56)1/5 (20.0%)0.53 (0.06–5.14)0.46 (0.04–5.66)
Death and/or non-fatal stroke12/69 (17.4%)6/55 (10.9%)5/17 (29.4%)15.42 (1.64–145.34)95.16 (3.41–2657.01)1/5 (20.0%)2.25 (0.21–24.27)3.38 (0.25–44.91)
Death, hospitalisation and/or stroke26/69 (37.7%)18/55 (32.7%)7/17 (41.2%)1.72 (0.52–5.67)1.69 (0.41–6.95)2/5 (40.0%)1.42 (0.22–9.33)1.72 (0.22–13.68)
Death, hospitalisation, stroke, AKI, MVC, repeat procedure, MI, PPI33/69 (47.8%)23/55 (41.8%)9/17 (52.9%)1.93 (0.61–6.14)2.02 (0.54–7.62)2/5 (40.0%)0.92 (0.14–6.01)0.96 (0.13–7.07)
Non-fatal complications
Non-valve related re-hospitalization14/69 (20.3%)12/55 (21.8%)4/17 (23.5%)1.15 (0.30–4.52)0.86 (0.16–4.54)0/5 (0%)--
Valve-related hospitalisation6/69 (8.7%)4/55 (7.3%)1/17 (5.9%)0.73 (0.07–7.56)1.32 (0.12–14.86)1/5 (20.0%)3.92 (0.33–46.90)2.52 (0.20–32.32)
Non-fatal stroke2/69 (2.9%)2/55 (3.6%)1/17 (5.9%)2.31 (0.14–39.31)19.61 (0.47–812.40)1/5 (20.0%)12.25 (0.64–234.81)51.99 (0.88–3060.37)
Acute kidney injury (stage 2 or 3)4/69 (5.8%)2/55 (3.6%)0/17 (0%)--1/5 (20.0%)12.25 (0.64–234.81)10.57 (0.30–378.98)
Major vascular complication2/69 (2.9%)0/55 (0%)0/17 (0%)--0/5 (0%)--
Repeat procedure for valve dysfunction1/69 (1.4%)1/55 (1.8%)0/17 (0%)--1/5 (20.0%)--
Myocardial infarction2/69 (2.9%)1/55 (1.8%)0/17 (0%)--0/5 (0%)--
PPI11/69 (15.9%)7/55 (12.7%)2/17 (11.8%)0.88 (0.15–5.06)0.44 (0.05–3.70)0/5 (0%)--

Data are presented as n /N (%) unless other indicated. *Adjusted for age, gender, NYHA class and surgical risk (EuroScore). n /N refers the ratio of number of patients with outcome to number of patients at risk. AKI: acute kidney injury; MI: myocardial infarction; MPI: multidimensional prognostic index; MVC: major vascular complication; OR: odds ratio; PPI: permanent pacemaker implantation; SPPB: short physical performance battery; TAVI: transcatheter aortic valve implantation.

Data are presented as n /N (%) unless other indicated. *Adjusted for age, gender, NYHA class and surgical risk (EuroScore). n /N refers the ratio of number of patients with outcome to number of patients at risk. AKI: acute kidney injury; MI: myocardial infarction; MPI: multidimensional prognostic index; MVC: major vascular complication; OR: odds ratio; PPI: permanent pacemaker implantation; SPPB: short physical performance battery; TAVI: transcatheter aortic valve implantation.

Discussion

This analysis of the CGA-TAVI registry data found that the MPI, but not the SPPB, showed value for predicting the likelihood of death and a combination of death and/or non-fatal stroke by one year after TAVI in elderly patients. The rate of all-cause mortality at one year after TAVI (14.1%) in the CGA-TAVI registry was consistent with rates reported in large studies of elderly patients (mean age > 80 years) with a similar level of surgical risk (12.5%–17.1%).[10]–[14] The incidence of non-fatal stroke at one year (2.9%) was also within the range reported for other studies (2.2%–4.3%).[10],[11],[13],[14] The current analysis reported rates of valve-related and non-valve–related re-hospitalisation of 8.7% and 20.3%, respectively. Although not directly comparable because of the different definitions used, other studies have reported rates of 3.2%–8.1% for rehospitalisation related to the valve or heart failure[13],[14] and 17.1% for any rehospitalisation.[11] The incorporation of CGA measures into the clinical assessment of AS candidates for TAVI may improve the assessment of procedural risk and/or risk of adverse outcome at follow-up in this generally elderly population.[8],[15] Studies have shown the potential of various multi-component tools for predicting morbidity and mortality outcomes after elective cardiac surgical procedures[16] and specifically after TAVI.[15], [17]–[21] The MPI is derived from a standard CGA that includes clinical, functional, cognitive, nutritional, and social parameters.[3] Studies have shown that higher MPI scores are associated with higher rates of mortality and other adverse outcomes in older hospitalised patients,[3],[22],[23] including those with heart failure[24] or transient ischemic attack[25]. Limited information on its role specifically in TAVI patients is available. A prospective, single-centre, observational study involving 116 patients (mean age 86 years, mean EuroSCORE 19.2%) found that the MPI was able to predict the risk of mortality at six and twelve months after TAVI.[4] In addition, a previous analysis of data from our CGA-TAVI registry found that the MPI had value for predicting the likelihood of a composite of death and/or hospitalisation and a composite of death and/or non-fatal stroke within the first three months after TAVI.[5] The current analysis assessed the value of the MPI for predicting outcomes up to one year after TAVI and found that, after adjusting for baseline characteristics, MPI score was predictive for all-cause mortality and the combination of death and/or non-fatal stroke at this timepoint, but not for the composite of death and/or hospitalisation. Thus, based on CGA-TAVI registry data, the MPI was predictive of death and/or non-fatal stroke at both three months and one year after TAVI. However, its predictive value for death and/or hospitalisation in the short term was not maintained through to one year. The previous analysis did not evaluate the relationship specifically with all-cause mortality at three months. The SPPB involves physical performance tests that assess lower extremity function.[7] Lower scores on the SPPB have been shown to be predictive of an increased risk of death and/or rehospitalisation in older adults with acute illness,[26] death in older patients hospitalised with heart failure,[27] and poor functional survival after cardiac surgery.[28] Few data on its predictive role in the setting of TAVI are available. A retrospective single-centre study (155 patients with severe AS, mean age 84 years) found that SPPB score was independently associated with the likelihood of unplanned readmission following TAVI, and that the addition of the SPPB to predictive clinical models increased discriminatory performance for predicting unplanned readmission and all-cause death.[29] A previous analysis of the CGA-TAVI registry found that the SPPB had value for predicting the likelihood of a composite of death and/or hospitalisation and a composite of death and/or non-fatal stroke within the first three months after TAVI.[5] In contrast, the current analysis did not find that SPPB score was an independent predictor of these outcomes at one year, although it did find it was predictive of a composite endpoint comprising all fatal and non-fatal complications. A high-risk SPPB score was associated with an increased likelihood of all-cause mortality and the composite of death and/or non-fatal stroke in univariate analysis, but significance was lost after adjustment for baseline characteristics in multivariate analysis, although the result for death and/or non-fatal stroke approached significance (P = 0.058). The MPI is a multidimensional tool comprising eight different assessments. As part of the current study, we sought to identify whether there were clear associations between any individual components of the MPI and two composite outcomes at one year after TAVI. The only MPI components independently associated with the combined endpoint of death and/or stroke at one year were worse ADL score and worse ESS score, and the only components associated with the composite of death and/or re-hospitalization and/or stroke at one year were worse MNA score and worse ESS score. Few other studies have specifically reported on individual MPI components in TAVI patients. One study found that a low ADL score was independently predictive of long-term all-cause mortality after TAVI in elderly patients,[30] while two others found univariate associations between ADL score or MNA score and morbidity and mortality after TAVI.[15],[17] The SPPB comprises balance testing, repeated chair stands, and time to walk eight feet.[7] In patients undergoing TAVI, slow gait speed has been shown to be associated with an increased risk of short- and mid-term mortality[31],[32] and with unplanned readmission[29]. Another study reported that a “timed get up and go” test had good predictive ability for mortality and major morbidity during the first year after TAVI.[15] The current study did not find any significant independent associations between individual components of the SPPB and composite endpoints comprising death and/or stroke or death and/or hospitalisation and/or stroke at one year, although the eight-foot walk was associated with both endpoints in univariate analysis. The previous analysis of CGA-TAVI data found there was no significant changes in mean MPI score between baseline and three months, whereas mean SPPB score improved significantly.[5] In the current study, a worsening (increasing) MPI score at three months post-TAVI was associated with an increased risk of the composite endpoint of death and/or non-fatal stoke at one year in the adjusted analysis. No significant relationships between worsening SPPB and one-year outcome were found. Little information has been published about the relevance of changes in MPI score over time and no other studies evaluating changes in MPI score over time in TAVI patients were identified. One study involving elderly patients admitted to hospital with an acute illness or a relapse of chronic disease reported that changes in MPI score might be helpful for monitoring the evolution of a patient's clinical condition during a hospital stay.[33]

Limitations

This registry analysis provides useful data from a real-world perspective. Despite advanced age and high-risk status for aortic valve replacement, patients with low-risk results on either MPI or SPPB enjoyed excellent short-term and one-year outcomes. This can be particularly helpful with respect to very elderly patients, as this population is often excluded from clinical trials. However, the observational nature of the study means there is a greater risk of missing data. In addition, the number of patients enrolled was modest, limiting the statistical power of the analysis and the generalisability of the data. Additional studies involving a larger number of participants would be helpful to confirm and expand on the results. The findings of this study are applicable to elderly patients at higher levels of surgical risk; additional evaluation of CGA and its components in other groups of elderly patients may be helpful, given the current shift towards performing TAVI in lower risk patients than in the past.

Conclusions

Baseline MPI score was an independent predictor of all-cause mortality and a composite of death and/or non-fatal stroke at one year after TAVI in elderly patients. A worsening MPI score at three months post-TAVI was also associated with an increased risk of death and/or non-fatal stoke at one year. SPPB score was not found to be an independent predictor of one-year post-TAVI outcomes. These findings need to be confirmed in a larger sample of TAVI patients.
  32 in total

1.  Clinical outcomes of patients with severe aortic stenosis at increased surgical risk according to treatment modality.

Authors:  Peter Wenaweser; Thomas Pilgrim; Alexander Kadner; Christoph Huber; Stefan Stortecky; Lutz Buellesfeld; Ahmed A Khattab; Fabienne Meuli; Nadja Roth; Balthasar Eberle; Gabor Erdös; Henriette Brinks; Bindu Kalesan; Bernhard Meier; Peter Jüni; Thierry Carrel; Stephan Windecker
Journal:  J Am Coll Cardiol       Date:  2011-11-15       Impact factor: 24.094

2.  Development and validation of a multidimensional prognostic index for one-year mortality from comprehensive geriatric assessment in hospitalized older patients.

Authors:  Alberto Pilotto; Luigi Ferrucci; Marilisa Franceschi; Luigi P D'Ambrosio; Carlo Scarcelli; Leandro Cascavilla; Francesco Paris; Giuliana Placentino; Davide Seripa; Bruno Dallapiccola; Gioacchino Leandro
Journal:  Rejuvenation Res       Date:  2008-02       Impact factor: 4.663

3.  Lower extremity performance measures predict long-term prognosis in older patients hospitalized for heart failure.

Authors:  Daniela Chiarantini; Stefano Volpato; Fotini Sioulis; Francesca Bartalucci; Laura Del Bianco; Irene Mangani; Giuseppe Pepe; Francesca Tarantini; Andrea Berni; Niccolo Marchionni; Mauro Di Bari
Journal:  J Card Fail       Date:  2010-03-03       Impact factor: 5.712

4.  A Multidimensional Prognostic Index (MPI) based on a comprehensive geriatric assessment predicts short- and long-term all-cause mortality in older hospitalized patients with transient ischemic attack.

Authors:  Daniele Sancarlo; Andrea Pilotto; Francesco Panza; Massimiliano Copetti; Maria Grazia Longo; Piero D'Ambrosio; Grazia D'Onofrio; Luigi Ferrucci; Alberto Pilotto
Journal:  J Neurol       Date:  2011-09-23       Impact factor: 4.849

5.  Predictive value of the Short Physical Performance Battery following hospitalization in older patients.

Authors:  Stefano Volpato; Margherita Cavalieri; Fotini Sioulis; Gianluca Guerra; Cinzia Maraldi; Giovanni Zuliani; Renato Fellin; Jack M Guralnik
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-09-22       Impact factor: 6.053

6.  One-year follow-up of patients undergoing elective cardiac surgery assessed with the Comprehensive Assessment of Frailty test and its simplified form.

Authors:  Simon Sündermann; Anika Dademasch; Ardawan Rastan; Julian Praetorius; Héctor Rodriguez; Thomas Walther; Friedrich-Wilhelm Mohr; Volkmar Falk
Journal:  Interact Cardiovasc Thorac Surg       Date:  2011-03-04

Review 7.  Comprehensive geriatric assessment for older hospital patients.

Authors:  Graham Ellis; Peter Langhorne
Journal:  Br Med Bull       Date:  2005-01-31       Impact factor: 4.291

8.  Multidimensional Prognostic Index based on a comprehensive geriatric assessment predicts short-term mortality in older patients with heart failure.

Authors:  Alberto Pilotto; Filomena Addante; Marilisa Franceschi; Gioacchino Leandro; Giuseppe Rengo; Piero D'Ambrosio; Maria Grazia Longo; Franco Rengo; Fabio Pellegrini; Bruno Dallapiccola; Luigi Ferrucci
Journal:  Circ Heart Fail       Date:  2009-10-22       Impact factor: 8.790

9.  Prognostic stratification of older persons based on simple administrative data: development and validation of the "Silver Code," to be used in emergency department triage.

Authors:  Mauro Di Bari; Daniela Balzi; Anna T Roberts; Alessandro Barchielli; Stefano Fumagalli; Andrea Ungar; Stefania Bandinelli; Walter De Alfieri; Luciano Gabbani; Niccolò Marchionni
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-04-06       Impact factor: 6.053

10.  Comparing the prognostic accuracy for all-cause mortality of frailty instruments: a multicentre 1-year follow-up in hospitalized older patients.

Authors:  Alberto Pilotto; Franco Rengo; Niccolò Marchionni; Daniele Sancarlo; Andrea Fontana; Francesco Panza; Luigi Ferrucci
Journal:  PLoS One       Date:  2012-01-11       Impact factor: 3.240

View more
  8 in total

1.  Short physical performance battery as a predictor of mortality in community-dwelling older adults: a longitudinal study in the Brazilian Amazon region.

Authors:  Caroline de Fátima Ribeiro Silva; Daniela Gonçalves Ohara; Areolino Pena Matos; Ana Carolina Pereira Nunes Pinto; Maycon Sousa Pegorari
Journal:  PeerJ       Date:  2022-07-12       Impact factor: 3.061

Review 2.  Biomarkers of aging in real life: three questions on aging and the comprehensive geriatric assessment.

Authors:  Marta Zampino; M Cristina Polidori; Manfred Gogol; Laurence Rubenstein; Luigi Ferrucci; Desmond O'Neill; Alberto Pilotto
Journal:  Geroscience       Date:  2022-07-07       Impact factor: 7.581

Review 3.  A multidimensional approach to frailty in older people.

Authors:  Alberto Pilotto; Carlo Custodero; Stefania Maggi; Maria Cristina Polidori; Nicola Veronese; Luigi Ferrucci
Journal:  Ageing Res Rev       Date:  2020-03-21       Impact factor: 10.895

Review 4.  Using the Multidimensional Prognostic Index (MPI) to improve cost-effectiveness of interventions in multimorbid frail older persons: results and final recommendations from the MPI_AGE European Project.

Authors:  Alfonso J Cruz-Jentoft; Julia Daragjati; Laura Fratiglioni; Stefania Maggi; Arduino A Mangoni; Francesco Mattace-Raso; Marc Paccalin; Maria Cristina Polidori; Eva Topinkova; Luigi Ferrucci; Alberto Pilotto
Journal:  Aging Clin Exp Res       Date:  2020-03-16       Impact factor: 3.636

5.  Validation of methods for effective orifice area measurement of prosthetic valves by two-dimensional and Doppler echocardiography following transcatheter self-expanding aortic valve implantation.

Authors:  Ming-Hu Xiao; Yong-Jian Wu; Jing-Jin Wang; Guang-Yuan Song; Jian-De Wang; Zhen-Hui Zhu; Xu Wang; Zhen-Yan Zhao; Hao Wang
Journal:  J Geriatr Cardiol       Date:  2020-12-28       Impact factor: 3.327

6.  The challenge of the multifaceted prognosis in the older people and the Multidimensional Prognostic Index.

Authors:  Francesco Mattace-Raso; Alberto Pilotto
Journal:  Eur Geriatr Med       Date:  2021-04       Impact factor: 1.710

7.  Multidimensional frailty and quality of life: data from the English Longitudinal Study of Ageing.

Authors:  Nicola Veronese; Marianna Noale; Alberto Cella; Carlo Custodero; Lee Smith; Marina Barbagelata; Stefania Maggi; Mario Barbagallo; Carlo Sabbà; Luigi Ferrucci; Alberto Pilotto
Journal:  Qual Life Res       Date:  2022-05-17       Impact factor: 3.440

8.  Preprocedural muscle strength and physical performance and the association with functional decline or mortality in frail older patients after transcatheter aortic valve implementation: a systematic review and meta-analysis.

Authors:  Dennis van Erck; Christine D Dolman; Jacqueline Limpens; Wilma J M Scholte Op Reimer; José P Henriques; Ronak Delewi; Josje D Schoufour
Journal:  Age Ageing       Date:  2022-09-02       Impact factor: 12.782

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.