Calculated plasma volume status and outcomes in patients undergoing transcatheter aortic valve replacement

Calculated plasma volume status in hemodialysis patients

BACKGROUND

Plasma volume (PV) calculated from hematocrit and body weight has applications in cardiovascular disease. The current study investigated the validity of the calculated PV for predicting volume overload and its prognostic utility in patients undergoing hemodialysis (HD).

PATIENTS AND METHODS

Fifty-four HD patients were prospectively enrolled, and their actual PV (aPV) and relative PV status (PVS) were calculated. Bioelectrical impedance analysis (BIA) with assessment of and total body water (TBW), intracellular water (ICW), extracellular water (ECW), and overhydration (OH) and routine blood examinations were performed before dialysis. A second cohort of 164 HD patients was retrospectively enrolled to evaluate the relationship between the calculated PVS and the outcome, with an endpoint of all-cause mortality.

RESULTS

aPV was significantly associated with TBW, ICW, ECW, OH, and ECW/TBW (all p < 0.001), and most strongly with ECW (r = 0.83). aPV predicted the extent of volume overload with an AUC of 0.770 (p < 0.001), but PVS did not (AUC = 0.617, p = 0.091). Median follow-up time was 53 months, during the course of which 60 (36.58%) patients died. Values for PVS (12.94 ± 10.87% vs. 7.45 ± 5.90%, p = 0.024) and time-averaged PVS (12.83 ± 11.20 vs. 6.78 ± 6.22%, p < 0.001) were significantly increased in patients who died relative to those who survived. A value of time-averaged PVS >8.72% was significantly associated with an increased incidence of all-cause mortality (HR = 2.48, p = 0.0023).

CONCLUSIONS

aPV was most strongly associated with ECW measured using BIA. HD patients with higher time-averaged PVS had a higher rate of all-cause mortality.

Prognostic relevance of pre-procedural plasma volume status estimation in patients undergoing transcatheter aortic valve implantation: A meta-analysis

BACKGROUND

To systematically evaluate the prognostic utility of estimated plasma volume status (ePVS) on the outcomes of patients undergoing transcatheter aortic valve implantation (TAVI).

METHODS

The exposure variable of interest was the ePVS, enumerating the percentage change of the actual plasma volume from the ideal plasma volume, and being calculated on the basis of weight and hematocrit using sex-specific constants. A random-effects meta-analysis was performed after a systematic literature search in PubMed, Scopus and Web Of Science.

RESULTS

The systematic literature search yielded 5 eligible observational cohort studies encompassing a total of 7,121 patients undergoing TAVI. The meta-analysis suggested that "high ePVS" status was independently associated with increased risk for 1-year all-cause mortality (pooled adjusted hazard ratio: 1.63, 95 % confidence intervals: 1.36-1.95) compared to "low ePVS". Also, the pooled unadjusted odds for 1-year mortality, 30-day mortality, peri-procedural stroke, major bleeding, and acute kidney injury were significantly increased in the "high ePVS" group of patients. Conversely, the unadjusted risk of pacemaker implantation and major vascular complications did not differ significantly between the 2 groups.

CONCLUSIONS

Plasma volume expansion appears to be linked with a worse peri-procedural and long-term prognostic course in TAVI. Its use in clinical practice could refine risk stratification and candidate selection practices.

Association between Remote Dielectric Sensing and Estimated Plasma Volume to Assess Body Fluid Distribution

Background: Pulmonary congestion is quantified by a remote dielectric sensing (ReDSTM) system, while systemic congestion is estimated by calculated plasma volume. The type of clinical patient profile as defined by the ReDS system and calculated plasma volume remains uncertain. Methods: Hospitalized patients with or without heart failure were included in this prospective study. On admission, ReDS values were measured and plasma volume status (PVS) was estimated using their body weight at the same time. Cutoffs of ReDS value and PVS were defined at 34% and −2.7%, respectively. The association between the two parameters was assessed. Results: A total of 482 patients (median 76 years, 288 men) were included. The median ReDS value was 28% (25%, 32%) and median PVS was −16.4% (−26.3%, −5.9%). Of the patients, 64 had high ReDS value (and low PVS) and 80 had high PVS (and low ReDS value). The high ReDS group had a higher prevalence of clinical heart failure with a more elevated echocardiographic E/e’ ratio, whereas the high PVS group had a higher prevalence of chronic kidney disease (p < 0.05 for all). Four out of a total of six patients with high ReDS value and high PVS had both heart failure and chronic kidney disease profiles. Conclusion: The combination of ReDS value and PVS was able to clinically stratify the types of body fluid distribution and patient profiles. Utilizing these tools may assist the clinician in constructing a therapeutic strategy for the at-risk hospitalized patient.

Deviations From the Ideal Plasma Volume and Isolated Tricuspid Valve Surgery—Paving the Way for New Risk Stratification Parameters

Background

Congestion and plasma volume expansion are important features of heart failure, whose prognostic significance has been investigated in a range of surgical and non-surgical settings. The aim of this study was to evaluate the value of the estimated plasma volume status (ePVS) in patients undergoing isolated tricuspid valve surgery.

Methods

This study included patients who underwent isolated tricuspid valve surgery at the Vienna General Hospital (Austria) between July 2008 and November 2018. The PVS cut-off was calculated using ROC analysis and Youden's Index.

Results

Eighty eight patients (median age: 58 [IQR: 35-70] years; 44.3% male; 75.6% NYHA III/IV; median EuroSCORE II 2.65 [IQR: 1.70-5.10]; 33.0% endocarditis-related regurgitation; 60.2% isolated repair; 39.8% isolated replacement) were included in this study. Patients who died within 1 year following surgery had significantly higher baseline ePVS values than survivors (median ePVS 5.29 [IQR: −1.55-13.55] vs. −3.68 [IQR: −10.92-4.22]; p = 0.005). During a median actuarial follow-up of 3.02 (IQR: 0.36-6.80) years, patients with a preoperative ePVS ≥ −4.17 had a significantly increased mortality (log-rank p = 0.006).

Conclusions

ePVS is an easily obtainable risk parameter for patients undergoing isolated tricuspid valve surgery capable of predicting mid- and long-term outcomes after isolated tricuspid valve surgery.

Prognostic Implications of a Modified Seattle Heart Failure Model Score Following Transcatheter Aortic Valve Replacement

Background: The Seattle heart failure model (SHFM) score is a well-known risk predictor of mortality in patients with heart failure. We validated this score in patients receiving transcatheter aortic valve replacement (TAVR) and aimed to generate further risk discrimination by adding invasive hemodynamics parameters. Methods: Patients who underwent TAVR at our institute between 2015 and 2020 were included and followed for 2 years from index discharge. Patients were randomly assigned to the derivation cohort or the validation cohort. In the derivation cohort, the original SHFM score was modified by adding baseline hemodynamics parameters to evaluate the primary outcomes: 2-year incidence of mortality or readmission from heart failure. The model performance of the modified SHFM score was evaluated in the validation cohort. Results: A total of 217 patients (median age: 86 (83, 88) years old, 64 (29%) men) were included. From the derivation cohort (N = 108), a novel modified SHFM score was constructed: 6 × (original SHFM score < 88.1%) + 5 × (pulmonary capillary wedge pressure > 14 mmHg) + 4 × (cardiac index < 2.26 L/min/m²), which had an improved discrimination compared with the original model (area under the curve: 0.887 vs. 0.679, p = 0.014). In the validation cohort (N = 109), the modified SHFM score showed accurate predictive discrimination of the 2-year cumulative incidence of the primary endpoint into three groups (a low score group with 0–5 points, 3%; an intermediate score group with 6–10 points, 12%; and a high score group with 11–15 points, 43%, p < 0.001). Conclusion: A modified SHFM score consisting of the original SHFM score and invasive hemodynamics parameters predicted mortality and morbidity following TAVR. Evaluation of the external validity of this score in other cohorts needs further investigation.

Predictive value of overt and non-overt volume overload in patients with high- or low-gradient aortic stenosis undergoing transcatheter aortic valve implantation

Background

The plasma volume status (PVS) is considered a marker of non-overt cardiac congestion and is of prognostic value. Patients with low-flow, low-gradient (LFLG) aortic stenosis (AS) suffer from impaired left ventricular function and show signs of heart failure (HF). We hypothesized that PVS might predict post-interventional rehospitalization and cardiovascular mortality in high-risk patients undergoing transcatheter aortic valve implantation (TAVI).

Methods

In this retrospective, observational analysis, PVS before transfemoral TAVI was calculated by a formula taking into account hematocrit and weight. The predictive performance of PVS was compared with that of prior cardiac decompensation (PCD).

Results

In the entire cohort of n=2,458 patients, PVS >-4% (high plasma volume) identified patients (n=1,013) with a higher post-interventional 1-year mortality rate than patients (n=1,445) with a PVS ≤-4% (low plasma volume). However, PVS lost prognostic independence when adjusted for anemia, whereas PCD did not. A high PVS and PCD were not correlated, and both parameters similarly revealed a low sensitivity and specificity but a high negative predictive value (NPV) for future HF events. PVS was not different between control patients (n=1,512) and those with intermediate (paradoxical LFLG-AS, n=327) or high risk scores (LFLG-AS, n=239). The accuracy of high PVS in predicting adverse events in these subpopulations was the same as in the study population overall. Kaplan-Maier analyses demonstrated similar prognostic impacts for PVS and PCD.

Conclusions

PVS and PCD represent two independent parameters of volume overload with unfavorable prognostic significance. Pre-interventional PVS does not appear to be suitable for predicting clinical outcomes in high-risk patients undergoing TAVI.

Calculated Plasma Volume Status Is Associated with Adverse Outcomes in Patients Undergoing Transcatheter Aortic Valve Implantation

Background: Calculated plasma volume status (PVS) reflects volume overload based on the deviation of the estimated plasma volume (ePV) from the ideal plasma volume (iPV). Calculated PVS is associated with prognosis in the context of heart failure. This single-center study investigated the prognostic impact of PVS in patients undergoing transcatheter aortic valve implantation (TAVI). Methods: A total of 859 TAVI patients had been prospectively enrolled in an observational study and were included in the analysis. An optimal cutoff for PVS of −5.4% was determined by receiver operating characteristic curve analysis. The primary endpoint was a composite of all-cause mortality or heart failure hospitalization within 1 year after TAVI. Results: A total of 324 patients had a PVS < −5.4% (no congestion), while 535 patients showed a PVS ≥ −5.4% (congestion). The primary endpoint occurred more frequently in patients with a PVS ≥ −5.4% compared to patients with PVS < −5.4% (22.6% vs. 13.0%, p < 0.001). After multivariable adjustment, PVS was confirmed as a significant predictor of the primary endpoint (HR 1.53, 95% CI 1.05–2.22, p = 0.026). Conclusions: Elevated PVS, as a marker of subclinical congestion, is significantly associated with all-cause mortality and heart failure hospitalization within 1 year after TAVI.

Calculated plasma volume status and outcomes in patients undergoing transcatheter aortic valve replacement

Aims

This study investigated the prognostic value of plasma volume status (PVS) in patients who underwent transcatheter aortic valve replacement (TAVR).

Methods and results

Plasma volume status was calculated in 2588 patients who underwent TAVR using data from the Japanese multicentre registry. All‐cause mortality and heart failure hospitalization (HFH) within 2 years of TAVR were compared among the PVS quartiles (Q1, PVS < 5.5%; Q2, PVS 5.5–13.5%; Q3, PVS 13.5–21.0%; and Q4, PVS ≥ 21.0%). Subgroups were stratified by the PVS cut‐off value combined with the New York Heart Association (NYHA) class as follows: low PVS with NYHA I/II (n = 959), low PVS with NYHA III/IV (n = 845), high PVS with NYHA I/II (n = 308), and high PVS with NYHA III/IV (n = 476). The cumulative all‐cause mortality and HFH within 2 years of TAVR significantly increased with increasing PVS quartiles [8.5%, 16.8%, 19.2%, and 27.0% (P < 0.001) and 5.8%, 8.7%, 10.3%, and 12.9% (P < 0.001), respectively]. The high‐PVS group regardless of the NYHA class had a higher all‐cause mortality and HFH [9.6%, 18.2%, 24.5%, and 30.4% (P < 0.001) and 6.1%, 10.4%, 14.1%, and 11.3% (P < 0.001)]. In a Cox regression multivariate analysis, the PVS values of Q3 and Q4 had independently increased all‐cause mortality [hazard ratio (HR), 1.50 and 1.64 (P = 0.017 and P = 0.008), respectively], and Q4 had independently increased HFH (HR, 1.98, P = 0.005). The low PVS with NYHA III/IV, high PVS with NYHA I/II, and high PVS with NYHA III/IV also had significantly increased all‐cause mortality [HR, 1.45, 1.73, and 1.86 (P = 0.006, P = 0.002, and P < 0.001), respectively] and HFH [HR, 1.52, 2.21, and 1.70 (P = 0.049, P = 0.002, and P = 0.031), respectively].

Conclusions

Plasma volume status is useful for predicting all‐cause mortality and HFH after TAVR.