Literature DB >> 32882243

Development and Validation of an Abridged Version of the REVEAL 2.0 Risk Score Calculator, REVEAL Lite 2, for Use in Patients With Pulmonary Arterial Hypertension.

Raymond L Benza1, Manreet K Kanwar2, Amresh Raina2, Jacqueline V Scott3, Carol L Zhao4, Mona Selej4, C Greg Elliott5, Harrison W Farber6.   

Abstract

BACKGROUND: Achievement of low-risk status is a treatment goal in pulmonary arterial hypertension (PAH). Risk assessment often is performed using multiparameter tools, such as the Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) risk calculator. Risk calculators that assess fewer variables without compromising validity may expedite risk assessment in the routine clinic setting. We describe the development and validation of REVEAL Lite 2, an abridged version of REVEAL 2.0. RESEARCH QUESTION: Can a simplified version of the REVEAL 2.0 risk assessment calculator for patients with PAH be developed and validated? STUDY DESIGN AND METHODS: REVEAL Lite 2 includes six noninvasive variables-functional class (FC), vital signs (systolic BP [SBP] and heart rate), 6-min walk distance (6MWD), brain natriuretic peptide (BNP)/N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and renal insufficiency (by estimated glomerular filtration rate [eGFR])-and was validated in a series of analyses (Kaplan-Meier, concordance index, Cox proportional hazard model, and multivariate analysis).
RESULTS: REVEAL Lite 2 approximates REVEAL 2.0 at discriminating low, intermediate, and high risk for 1-year mortality in patients in the REVEAL registry. The model indicated that the most highly predictive REVEAL Lite 2 parameter was BNP/NT-proBNP, followed by 6MWD and FC. Even if multiple, less predictive variables (heart rate, SBP, eGFR) were missing, REVEAL Lite 2 still discriminated among risk groups.
INTERPRETATION: REVEAL Lite 2, an abridged version of REVEAL 2.0, provides a simplified method of risk assessment that can be implemented routinely in daily clinical practice. REVEAL Lite 2 is a robust tool that provides discrimination among patients at low, intermediate, and high risk of 1-year mortality. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT00370214; URL: www.clinicaltrials.gov.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  calculator; pulmonary arterial hypertension; risk; risk score

Year:  2020        PMID: 32882243      PMCID: PMC7462639          DOI: 10.1016/j.chest.2020.08.2069

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


Despite advances in the treatment of pulmonary arterial hypertension (PAH; World Health Organization [WHO] group 1 pulmonary hypertension), no cure exists for this progressive and ultimately fatal disease. However, with timely and effective clinical intervention, clinical status and survival are improved. The current goal of PAH treatment is to enable patients to achieve a low mortality risk status, which has been associated with improved outcomes.1, 2, 3, 4, 5 To enable such outcomes, assessments of mortality risk should be made at PAH diagnosis and at regular intervals during follow-up. The results of these assessments should be used to guide management, including proactive adjustment of treatment if a low mortality risk status is not achieved. , Study Question: To develop and validate a simplified version of the REVEAL 2.0 risk assessment calculator for patients with PAH. Results: REVEAL Lite 2, an abridged version of REVEAL 2.0 that uses six rather than 13 variables, approximates REVEAL 2.0 at discriminating low, intermediate, and high risk for 1-year mortality in patients in the REVEAL Registry. Interpretation: REVEAL Lite 2 provides a simplified and robust method of risk assessment for implementation in routine clinical practice. FOR EDITORIAL COMMENT, SEE PAGE 14 Current best practice is for risk assessments to be made using multiparameter risk assessment tools, such as the Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) risk calculator versions 1.0 or 2.0, , the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) method, the Swedish PAH Register method, the French Pulmonary Hypertension Registry (FPHR) method, and the Bologna strategy. REVEAL 1.0 and 2.0 estimate PAH mortality risk by assigning scores using up to 12 or 13 variables, respectively. The scores are used to categorize patients into specific risk strata. , REVEAL 2.0 incorporates new variables and expanded thresholds from REVEAL 1.0 to improve risk discrimination. The COMPERA, FPHR, and Bologna methods use data from up to six variables and assign mortality risk based on thresholds published in the European Society of Cardiology/European Respiratory Society (ESC/ERS) pulmonary hypertension guidelines. , , Of clinical importance, REVEAL 2.0, when compared with COMPERA and FPHR, showed greater risk discrimination than either of the two ESC/ERS-based risk assessment strategies. The need for timely and regular risk assessment in PAH is acknowledged widely , , , , ; however, real-world evidence indicates that risk assessment in the clinical setting is suboptimal. Several barriers to practical implementation have been documented, including the complexity of tools, the number of parameters that need to be included (with a reported 41% of patients excluded from risk calculation analysis because of insufficient measurements), and a desire to avoid potentially unnecessary invasive procedures. To expedite risk assessment in the clinic, where comprehensive data for all patients may be lacking and time constrained, risk assessment tools using fewer variables may be preferable. To this end, we developed two simplified risk calculators, REVEAL Lite 1 and REVEAL Lite 2. Both are based on the recently developed and validated REVEAL 2.0 risk calculator, , , but in an abridged format. REVEAL Lite 1 uses only nine noninvasive variables, whereas REVEAL Lite 2 uses only six modifiable and noninvasive variables. Herein, we present results from analyses conducted during development and internal validation of REVEAL Lite 2.

Methods

Patient Characteristics

REVEAL Lite 2 was developed using data from patients enrolled in the REVEAL (final database lock, February 4, 2013). The same patient population used for REVEAL 2.0 development was used for the current REVEAL Lite 2 analysis. Patients enrolled in REVEAL were eligible if they were 18 years of age or older at diagnosis, met hemodynamic criteria for PAH (ie, pulmonary capillary wedge pressure ≤ 15 mm Hg), and had ≥ 12 months of follow-up data available. This enabled the capture of all-cause hospitalization data from the previous 6 months for development of the REVEAL 2.0 tool. One year after enrollment was considered baseline for these analyses. Patients were excluded from the analyses if they were participating in a blinded clinical trial at enrollment or if they received a lung transplant within 1 year of enrollment (e-Appendix 1; e-Fig 1).

Risk Assessment Tools

The relevant parameters and variables and associated scoring included in the REVEAL 2.0 and REVEAL Lite 2 risk calculators are presented in Table 1 . REVEAL Lite 2 is based on REVEAL 2.0, but includes only six noninvasive and modifiable parameters: New York Heart Association (NYHA) or WHO functional class (FC), vital signs (systolic BP [SBP] and heart rate), 6-min walk distance (6MWD), brain natriuretic peptide (BNP)/N-terminal prohormone of brain natriuretic peptide (NT-proBNP), renal insufficiency (if estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m2 or reported as “renal insufficiency,” as assessed by the principal investigator when eGFR was unavailable). For both REVEAL 2.0 and REVEAL Lite 2, patients were grouped into three risk categories according to ESC/ERS guidelines. , For the REVEAL 2.0 assessment, and based on the 1-year mortality outcomes in the REVEAL derivation data (with scores ranging from 0 to 23), a score between 0 and 6 was considered low risk, a score of 7 or 8 was considered intermediate risk, and a score of 9 or higher was considered high risk. For the REVEAL Lite 2 assessment (with scores ranging from 1 to 14), a score between 1 and 5 was considered low risk, a score of 6 or 7 was considered intermediate risk, and a score of 8 or higher was considered high risk. Risk was calculated for both risk calculators using data from a subpopulation of the REVEAL who had survived ≥ 1 year after enrollment. To provide proper reference for REVEAL Lite 2 to REVEAL 2.0, the same dataset used for REVEAL 2.0 was also used for REVEAL Lite 2. REVEAL Lite 2 scores at time of enrollment were recalculated for patients included in this analysis. A correction factor of 6 was used for REVEAL Lite 2 calculations.
Table 1

Variables Included in the REVEAL 2.0 and REVEAL Lite 2 Risk Calculators and Associated Risk Scores

ParameterREVEAL 2.0 (13 Variables)REVEAL Lite 2 (6 Variables)
CauseConnective tissue disease: +1Portopulmonary hypertension: +3Heritable: +2
DemographicsMen > 60 y: +2
Renal insufficiencyeGFR < 60 mL/min/1.73 m2 or defined by clinical judgment if eGFR is not available: +1
NYHA or WHO FCFC I: −1FC III: +1FC IV: +2
All-cause hospitalization within the previous 6 mo+1
Vital signsSBP < 110 mm Hg: +1HR > 96 bpm: +1
6MWD≥ 440 min: −2320-< 440 min: −1< 165 min: +1
BNP/NT-proBNPBNP < 50 pg/mL OR NT-proBNP < 300 pg/mL: −2BNP 200-< 800 pg/mL: +1BNP ≥800 pg/mL OR NT-proBNP ≥1100 pg/mL: +2
EchocardiogramPericardial effusion: +1
Pulmonary function test% predicted Dlco < 40%: +1
RHC within 1 ymRAP > 20 mm Hg: +1PVR < 5 Wood units: −1
Total scoreSum of above scores +6Sum of above scores +6

Em dashes denote parameter not included in REVEAL Lite 2.

6MWD = 6-min walk distance; BNP = brain natriuretic peptide; bpm = beats per minute; Dlco = diffusing capacity of the lungs for carbon monoxide; eGFR = estimated glomerular filtration rate; FC = functional class; HR = heart rate; mRAP = mean right atrial pressure; NT-proBNP = N-terminal prohormone of brain natriuretic peptide; NYHA = New York Heart Association; PAH = pulmonary arterial hypertension; PVR = pulmonary vascular resistance; REVEAL = Registry to Evaluate Early and Long-Term PAH Disease Management; RHC = right heart catheterization; SBP = systolic BP; WHO = World Health Organization.

Variables Included in the REVEAL 2.0 and REVEAL Lite 2 Risk Calculators and Associated Risk Scores Em dashes denote parameter not included in REVEAL Lite 2. 6MWD = 6-min walk distance; BNP = brain natriuretic peptide; bpm = beats per minute; Dlco = diffusing capacity of the lungs for carbon monoxide; eGFR = estimated glomerular filtration rate; FC = functional class; HR = heart rate; mRAP = mean right atrial pressure; NT-proBNP = N-terminal prohormone of brain natriuretic peptide; NYHA = New York Heart Association; PAH = pulmonary arterial hypertension; PVR = pulmonary vascular resistance; REVEAL = Registry to Evaluate Early and Long-Term PAH Disease Management; RHC = right heart catheterization; SBP = systolic BP; WHO = World Health Organization.

Statistical Methods

REVEAL Lite 2 is based on earlier versions of the REVEAL risk assessment tools 1.0 and 2.0. Detailed descriptions of the statistical methods used in their development have been described previously for REVEAL 1.06 and REVEAL 2.0. Patient data, definitions, and algorithm of derivations from the development of REVEAL 2.0 were used in the current analysis, in which baseline risk was calculated based on the last available assessment at 12 months’ follow-up or an earlier time point, starting from enrollment. A score of zero was assigned for missing individual assessments. The six noninvasive and modifiable parameters were classified onto categorical values according to the REVEAL 2.0 risk calculator: NYHA FC (−2, 0, 1, 2), SBP (0, 1), heart rate (0, 1), 6MWD (−2, −1, 0, 1), BNP/NT-proBNP (−2, 0, 1, 2), renal insufficiency (0, 1). The Cox proportional hazard model with the six parameters as independent variables and survival time as the dependent variable was used to derive the prognostic equation, in which stepwise selection was used to rank the impact of these prognostic parameters. The Cox proportional hazard model was used to compare the survival rate between risk groups, Harrell’s concordance statistic (c-index) was used as a goodness-of-fit measure, and the associated 95% CIs were used to evaluate the discrimination of the risk assessment tools. The Kaplan-Meier method was used to estimate 1-year survival from baseline for each of the risk score groups for both risk calculators (REVEAL 2.0 and REVEAL Lite 2). Simple κ values were calculated to examine the agreement between REVEAL 2.0 and REVEAL Lite 2 on risk group classifications. C-indexes were used to evaluate the impact of missing factors when one or more individual factors were missing from the model on the discrimination of REVEAL Lite 2. All analyses were conducted using SAS version 9.4 software (SAS Institute).

Results

In total, 2,529 of the 3,515 patients enrolled in REVEAL Registry were eligible for inclusion in our analyses (e-Fig 1). Proportions of patients with available data for each variable and handling of missing data were reported previously. Patient demographics and clinical characteristics for these patients at 1 year after enrollment are presented in Table 2 . Approximately 50% of patients had idiopathic PAH (IPAH) and 25% had connective tissue-associated PAH (CTD-PAH). Most patients (approximately 87%) were classified as NYHA FC II/III.
Table 2

Patient Demographics and Clinical Characteristics at 1 Year After Enrollment

CharacteristicPatients With 1 y of Follow-up (N = 2,529)
Age, mean (SD), y53.6 (14.3)
Sex, No. (%)
 Male505 (20.0)
 Female2,024 (80.0)
Race, No. (%)
 White1,809 (71.5)
 Black330 (13.0)
 Hispanic228 (9.0)
 Asian or Pacific Islander85 (3.4)
 Native American or Native Alaskan16 (0.6)
 Other22 (0.9)
 Unknown39 (1.5)
WHO group I PAH subgroup, No. (%)
 Idiopathic1,171 (46.3)
 Heritablea74 (2.9)
 Other18 (0.7)
PAH associated with
 Connective tissue disease649 (25.7)
 Congenital heart disease244 (9.6)
 Portal hypertension139 (5.5)
 HIV48 (1.9)
 Other186 (7.4)
Modified NYHA or WHO FC, No. (%)b
 I203 (8.4)
 II1,003 (41.3)
 III1,116 (45.9)
 IV108 (4.4)

FC = functional class; NYHA = New York Heart Association; PAH = pulmonary arterial hypertension; WHO = World Health Organization.

Some, but not all, had confirmed BMPR2 or ALK1 mutations.

Data were missing for 99 patients.

Patient Demographics and Clinical Characteristics at 1 Year After Enrollment FC = functional class; NYHA = New York Heart Association; PAH = pulmonary arterial hypertension; WHO = World Health Organization. Some, but not all, had confirmed BMPR2 or ALK1 mutations. Data were missing for 99 patients.

Estimation of 1-Year Mortality

Kaplan-Meier survival curves to 5 years by REVEAL 2.0 and REVEAL Lite 2 are shown in Figure 1A and 1B , respectively. Both demonstrate clear separation of risk between each risk stratum. The results of the Kaplan-Meier, hazard ratio, and c-index calculations for 1-year survival are presented in Table 3 . These data show that REVEAL Lite 2 approximates the “parent” REVEAL 2.0 risk calculator at discriminating among patients at low, intermediate, or high risk for 1-year mortality (based on c-index). This was the case regardless of whether the data were compared using categorical or numerical values. The c-indexes using categorical values were 0.73 (95% CI, 0.71-0.75) and 0.70 (95% CI, 0.68-0.72) for REVEAL 2.0 and REVEAL Lite 2, respectively. The c-indexes, using the original numerical values, were 0.76 (95% CI, 0.74-0.78) and 0.73 (95% CI, 0.71-0.75) for REVEAL 2.0 and REVEAL Lite 2, respectively. Because REVEAL 2.0 was developed based on data at 12 months of follow-up (as baseline), we also examined whether REVEAL Lite 2 provides consistent discrimination at the time of enrollment. When we applied REVEAL Lite 2 to value at enrollment (N = 3,046 PAH patients), the c-index was 0.71 (95% CI, 0.69-0.73), indicating good discrimination. We calculated the c-index for IPAH (n = 1,171) and CTD-PAH (n = 649) subgroups separately using REVEAL Lite 2. C-indexes, using the original numerical values, were 0.74 (95% CI, 0.71-0.77) and 0.76 (95% CI, 0.73-0.79) and, using categorical values, were 0.71 (95% CI, 0.68-0.74) and 0.72 (95% CI, 0.69-0.75) for IPAH and CTD-PAH, respectively.
Figure 1

A, B, Kaplan-Meier survival curves obtained after baseline for Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) 2.0 (A) and REVEAL Lite 2 (B). HR = hazard ratio vs low-risk group; int = intermediate; PCWP = pulmonary capillary wedge pressure.

Table 3

Hazard Ratios and Concordance Indexes for Estimation of 1-Year Mortality

Risk Assessment Strategy and Risk GroupNo. of Patients (%)Kaplan-Meier Estimated Mortality at 1 y, % (95% CI)HR (95% CI) Compared With Low-Risk GroupC-Index (95% CI), Three-Category/Original
REVEAL 2.0 (N = 2,529)
 Low (score, ≤ 6)1,073 (42.4)1.9 (1.1-2.7)NA0.73 (0.71-0.75)/0.76 (0.74-0.78)
 Intermediate (score, 7-8)692 (27.4)6.5 (4.7-8.4)2.73 (2.2-3.4)
 High (score, ≥ 9)764 (30.2)25.8 (22.7-28.9)8.09 (6.6-9.9)
REVEAL Lite 2 (N = 2,529)
 Low (score, ≤ 5)960 (38.0)2.9 (1.8-3.9)NA0.70 (0.68-0.72)/0.73 (0.71-0.75)
 Intermediate (score, 6-7)883 (34.9)7.1 (5.4-8.8)2.27 (1.8-2.8)
 High (score, ≥ 8)686 (27.1)25.1 (21.9-28.4)6.35 (5.2-7.8)

c-index = Harrell’s concordance statistic; HR, hazard ratio; NA = not applicable. See Table 1 legend for expansion of other abbreviation.

A, B, Kaplan-Meier survival curves obtained after baseline for Registry to Evaluate Early and Long-Term PAH Disease Management (REVEAL) 2.0 (A) and REVEAL Lite 2 (B). HR = hazard ratio vs low-risk group; int = intermediate; PCWP = pulmonary capillary wedge pressure. Hazard Ratios and Concordance Indexes for Estimation of 1-Year Mortality c-index = Harrell’s concordance statistic; HR, hazard ratio; NA = not applicable. See Table 1 legend for expansion of other abbreviation.

Prognostic Equation

Cox proportional hazard multivariate analysis showed that all variables and scores were independent prognosticators of survival and that higher risk score was associated with higher risk of death (e-Table 1). Predicted 1-year survival was computed as follows: S0(1)exp(, where S0(1) is the baseline survivor function (0.925), Z′β is the linear component, and γ is the shrinkage coefficient (0.976). The core of the prognostic equation is Z, the linear component of the Cox model (e-Table 2). All parameters were found to be highly predictive (based on χ 2 value for individual variables), with the exceptions of heart rate and NYHA or WHO FC I (e-Table 1). However, it is important to note that only 203 patients (8.4%) in the analysis sample had NYHA or WHO FC I disease. The model indicated that the most highly predictive parameter was BNP/NT-proBNP (χ 2 value for high level, 56.4254; P < .0001), followed by 6MWD (χ 2 value for ≥ 440 m, 48.1825; P < .0001), and NYHA or WHO FC IV (χ 2 value, 38.0737; P < .0001).

Agreement Between Risk Calculators

Agreement between REVEAL 2.0 and REVEAL Lite 2 was examined using the simple κ method and is presented in Table 4 . With all patients included and missing variables scored as zero (analysis 1; N = 2,529), the agreement between the two methods using the simple κ method was good at 0.62 (good, 0.61-0.80). When risk scores were calculated based on patients without missing BNP/NT-proBNP or 6MWD values (analysis 2; n = 1,505), the κ value improved to 0.67 (and the lower boundary of the CI increased to 0.64). With either analysis 1 or 2, no patient was assessed as low risk using REVEAL 2.0 who was found to be at high risk using REVEAL Lite 2.
Table 4

Effect of Missing Values on Agreement Between REVEAL 2.0 and REVEAL Lite 2

AnalysisREVEAL Lite 2
Simple κ Value (95% CI)
LowIntermediateHigh
Analysis 1a
 REVEAL 2.0
 Low8442290
 Intermediate1024771130.62 (0.60-0.65)
 High14177573
Analysis 2b
 REVEAL 2.0
 Low5651020
 Intermediate61242580.67 (0.64-0.71)
 High792378

See Table 1 legend for expansion of abbreviations.

All patients included (n = 2,529); missing values counted as 0.

Only patients with all values present for both BNP/NT-proBNP and 6MWD included (n = 1,505).

Effect of Missing Values on Agreement Between REVEAL 2.0 and REVEAL Lite 2 See Table 1 legend for expansion of abbreviations. All patients included (n = 2,529); missing values counted as 0. Only patients with all values present for both BNP/NT-proBNP and 6MWD included (n = 1,505).

Handling of Missing Values

The impact of missing variables was evaluated using c-index. Scenarios of missing one, two, and three variables were used. The results are presented in Table 5 . REVEAL Lite 2 provided good discrimination between risk groups missing any one variable. As presented in the earlier section on prognostic equation, not all variables within REVEAL Lite 2 are of equal prognostic value; the three variables of most prognostic value are BNP/NT-proBNP, 6MWD, and NYHA or WHO FC. At baseline, BNP/NT-proBNP was missing in 797 patients, 6MWD was missing in 317 patients, and NYHA or WHO FC was missing in 99 patients (Table 5). When any one of six variables were missing, the c-index was ≥ 0.70, indicating good discrimination. Missing one of the variables having higher prognostic value was associated with greater reduction in discrimination. When one to three variables from the three least important variables were missing (ie, eGFR, SBP, heart rate, or a combination thereof), REVEAL Lite 2 still provided good discrimination between risk groups. However, when two variables from the top three variables (BNP/NT-proBNP, 6MWD, and NYHA or WHO FC) were missing, the c-index would be < 0.70, which is below the threshold for good discrimination.
Table 5

Effect of Missing Values on Risk Discrimination Using REVEAL Lite 2a

Lite 2 Model DescriptionVariables Included in the Model (N = 2,529; Missing Value Assumed of 0 Risk Score)C-Index (95% CI)
All 6 parameters/variables includedBNP/NT-proBNP, 6MWD, NYHA or WHO FC, SBP < 110 mm Hg, HR >96 bpm, renal insufficiency0.73 (0.71-0.75)
Missing 1 parameter/variable
 No BNP/NT-proBNP6MWD, NYHA/WHO FC, SBP <110 mm Hg, HR > 96 bpm, renal insufficiency0.70 (0.68-0.72)
 No 6MWDBNP/NT-proBNP, NYHA or WHO FC, SBP < 110 mm Hg, HR > 96 bpm, renal insufficiency0.71 (0.69-0.73)
 No NYHA or WHO FCBNP/NT-proBNP, 6MWD, SBP < 110 mm Hg, HR > 96 bpm, renal insufficiency0.72 (0.70-0.74)
 No HRBNP/NT-proBNP, 6MWD, NYHA or WHO FC, SBP < 110 mm Hg, renal insufficiency0.73 (0.71-0.75)
 No renal insufficiencyBNP/NT-proBNP, 6MWD, NYHA or WHO FC, SBP < 110 mm Hg, HR > 96 bpm0.73 (0.71-0.75)
 No SBPBNP/NT-proBNP, 6MWD, NYHA or WHO FC, HR > 96 bpm, renal insufficiency0.73 (0.71-0.75)
Missing 2 parameters from top 3 parameters or variables BNP/NT-proBNP, 6MWD, and NYHA or WHO FC
 Lite 2 (no BNP and 6MWD)NYHA/WHO FC, SBP < 110 mm Hg, HR > 96, renal insufficiency0.67 (0.65-0.69)
 Lite 2 (no NYHA and 6MWD)BNP, SBP < 110 mm Hg, HR > 96, renal insufficiency0.68 (0.66-0.70)
 Lite 2 (no NYHA and BNP)6MWD, SBP < 110 mm Hg, HR > 96, renal insufficiency0.69 (0.67-0.71)
Missing 2 parameters or variables from SBP, renal insufficiency, and HR
 Missing SBP and renal insufficiencyBNP/NT-proBNP, 6MWD, NYHA or WHO FC, HR > 96 bpm0.72 (0.70-0.74)
 Missing HR and SBPBNP/NT-proBNP, 6MWD, NYHA or WHO FC, renal insufficiency0.73 (0.71-0.75)
 Missing HR and renal insufficiencyBNP/NT-proBNP, 6MWD, NYHA or WHO FC, SBP < 110 mm Hg0.72 (0.70-0.74)
Missing SBP, renal insufficiency, and HR (3 parameters or variables)BNP/NT-proBNP, 6MWD, NYHA or WHO FC0.72 (0.70-0.74)

See Tables 1, 2, and 3 legends for expansion of abbreviations.

No. of patients with missing variables at baseline: BNP/NT-proBNP, n = 797; 6MWD, n = 317; NYHA or WHO FC, n = 99; HR, n = 6; renal insufficiency, n = 0; SBP, n = 8.

Effect of Missing Values on Risk Discrimination Using REVEAL Lite 2a See Tables 1, 2, and 3 legends for expansion of abbreviations. No. of patients with missing variables at baseline: BNP/NT-proBNP, n = 797; 6MWD, n = 317; NYHA or WHO FC, n = 99; HR, n = 6; renal insufficiency, n = 0; SBP, n = 8.

Discussion

REVEAL Lite 2 is a multiparameter risk assessment tool for patients with PAH that provides a simplified and robust risk calculator for routine clinical implementation. It is an abridged version of the REVEAL 2.0 risk calculator that uses six (rather than 13) exclusively noninvasive and modifiable variables. REVEAL Lite 2 closely approximates REVEAL 2.0 at discriminating among patients in the REVEAL Registry at low, intermediate, and high risk for 1-year mortality (based on the c-index), using either categorical values (low, intermediate, or high risk) or the original numerical values (risk scores). The model indicated that the most highly predictive parameter included in REVEAL Lite 2 (based on the χ 2 value) was BNP/NT-proBNP, followed by 6MWD and NYHA or WHO FC. Assessment of the level of agreement between REVEAL Lite 2 and REVEAL 2.0 was found to be good (when missing variables were scored as zero); agreement increased when recalculated using data only from patients without missing BNP/NT-proBNP or 6MWD values. During the development of REVEAL Lite 2, we conducted a series of rigorous analyses to validate the results obtained using this abridged risk calculator by comparing them with those produced by the parent risk calculator, REVEAL 2.0. In the analysis of agreement between REVEAL 2.0 and REVEAL Lite 2, using data from all patients in the REVEAL cohort, including those with missing values, one of the most important findings was that no patients assessed as being at low risk using REVEAL 2.0 were found to be at high risk using REVEAL Lite 2; furthermore, only a small number of patients found to be at low risk using REVEAL 2.0 were assessed as being at intermediate risk using REVEAL Lite 2 (n = 229). Therefore, REVEAL Lite 2 has clinical usefulness in screening patients because it can be used as a relatively quick and simple method for accurately identifying patients predicted to have a low risk for 1 year of mortality. Risk discrimination of patients enrolled in REVEAL using REVEAL Lite 2 seems more accurate than that obtained using risk assessment methods based on ESC/ERS guidelines thresholds. For example, when two versions of the FPHR method (four-variable and three-variable formats) were used to assess risk in the same subpopulation of patients from REVEAL, the c-indexes obtained were 0.61 (95% CI, 0.59-0.63) and 0.67 (95% CI, 0.65-0.68); these are both lower than the c-index obtained using REVEAL Lite 2 (0.70 [95% CI, 0.68-0.72]) (e-Table 3). This improved discrimination may be because REVEAL Lite 2 variables are weighted. In addition, neither the FPHR nor COMPERA method fully account for missing data: the FPHR method cannot be used if one variable is missing, whereas COMPERA takes the average for missing variables. In general, REVEAL Lite 2 provides the highest discrimination when all six variables are measured. When missing values exist, REVEAL Lite 2 still provides good discrimination if ≥ 50% of six variables are measured, including at least two variables from the three top prognostic variables. Missing variables are imputed as zero when calculating REVEAL Lite 2 risk score. The finding that having the three least discriminating variables missing still allows REVEAL Lite 2 to assess risk in patients is consistent with the FPHR approach (ie, having only FC, 6MWD, and BNP/NT-proBNP is sufficient); however, REVEAL Lite 2 also provides the possibility to discriminate among low, intermediate, and high risk. Another notable finding from our analyses is that the c-index for risk discrimination obtained using REVEAL Lite 2 was good when based on the three risk categories (low, intermediate, and high), but was equally robust when the risk scores were used. Our findings also should prompt discussion around how risk categories are assigned and whether any additional categories are needed to represent patients with risk scores that do not fall into existing categories. Although categorizing risk can provide clearer guidance to associate treatment with risk and change in risk, the increase in the 1-year death rate between intermediate-risk and high-risk groups from 7.1% to 25.1% suggests that more risk groups have yet to be identified or that using continuous variables (ie, risk scores) rather than risk category should be strongly considered. In clinical settings, limitations in data availability, as well as time constraints, may make a risk assessment strategy that assesses fewer variables (such as REVEAL Lite 2) more practical than existing methods. In our analyses, we looked at the impact of missing data on REVEAL Lite 2 and found that even if all three of the variables classed as least valuable were missing (ie, heart rate, SBP, and eGFR), REVEAL Lite 2 still provided good discrimination among risk groups. However, in clinical practice it would be very rare for patients to be missing many of the six variables used in REVEAL Lite 2. Furthermore, REVEAL Lite 2 achieved good discrimination when applied at enrollment, demonstrating that it can be used at the appropriate time point in routine clinical practice when patients begin therapy. Another potential advantage of using REVEAL Lite 2 is that like its parent risk calculator (REVEAL 2.0), REVEAL Lite 2 uses weighting of variables. Weighting is achieved by assigning an integer score to a risk factor; this score is proportional to its contribution to the overall risk rating. The use of weighting improves the degree of agreement between predicted and observed risk. Other risk assessment tools, such as the FPHR, COMPERA, and Bologna methods,8, 9, 10 either do not use weighting of variables (FPHR and Bologna) or use only equal weighting (COMPERA), rather than assigning different weight based on predictive value and performance by statistical model incorporated in the REVEAL risk assessment tool, thus impacting their ability to assign risk accurately. Previous analyses conducted in a subpopulation of patients in the REVEAL Registry demonstrated that the parent risk calculator REVEAL 2.0 has greater discrimination than COMPERA and FHPR and that REVEAL Lite 2 has greater discrimination than both FPHR and Bologna risk assessment strategies. In the clinical setting, we recommend that the full REVEAL 2.0 score be used for baseline, 4- to 6-month, and yearly evaluations in treatment-naïve patients. The abridged REVEAL Lite 2 form could be used in between these time points to project a trajectory using a simpler three-component system. In established patients, the full score should be used for yearly assessments and the abridged three-component score should be used in between to monitor trajectory and to ensure that patients remain in the low-risk category. We further recommend that if the abridged three-component score indicates an increase in risk status, a full REVEAL 2.0 score should be completed, additional studies should be completed (ie, imaging), or both. REVEAL Lite 2 is intended to complement rather than replace REVEAL 2, and our recommendations aim to facilitate appropriate incorporation of REVEAL Lite 2 into routine clinical practice. Our analyses do have some limitations. Because we used a derivative cohort (ie, a REVEAL cohort) to confirm our findings, REVEAL Lite 2 must be validated in a nonderivative cohort and as needed in other WHO group populations. In subgroup analysis, the discrimination applied in IPAH and CTD-PAH causes were as consistent as in the overall patient population with c-indexes of more than 0.7. Patients in REVEAL were treated at specialized PAH centers within the United States; therefore, our results (using data exclusively from REVEAL patients) may not be applicable to PAH patients who receive treatment in different clinical settings. The results of the present study may be subject to survival bias because we used data from patients in REVEAL who had survived for ≥ 1 year from enrollment (to account for all-cause hospitalization data in the previous 6 months). Although the time frame for enrollment in REVEAL was limited to a population from 2013, the parent REVEAL 2.0 risk calculator has been tested in large randomized trials of the four agents approved for PAH since 201319, 20, 21, 22 and registries. , C-indexes were 0.7 or more in these analyses, indicating good discrimination of the REVEAL 2.0 risk calculator in contemporary trials and registries. A potential and timely advantage of REVEAL Lite 2 is its applicability to remote telehealth, especially in the current coronavirus disease 2019 environment. Efforts to improve further the usability of REVEAL Lite 2 are ongoing, including potential incorporation of the tool into electronic medical records.

Conclusions

REVEAL Lite 2 is an abridged version of REVEAL 2.0 that was developed to provide clinicians with a simplified method of risk calculation that can be implemented routinely in clinical practice. When compared with REVEAL 2.0, REVEAL Lite 2 is robust, providing good discrimination between patients at low, intermediate, and high 1-year mortality risk. After being validated independently, REVEAL Lite 2 could be used for screening patients with PAH because it readily discriminates between patients at low risk compared with those not at low risk. A detailed analysis of the six variables used in the REVEAL Lite 2 risk calculator found that they were not equally valuable. Ideally, missing values should be avoided whenever possible. However, assessment of 1-year mortality risk based on at least three REVEAL Lite 2 variables (including at least two of the three most valuable variables [ie, BNP/NT-proBNP, 6MWD, and WHO FC]) seems to be accurate.
  19 in total

1.  Mortality in pulmonary arterial hypertension: prediction by the 2015 European pulmonary hypertension guidelines risk stratification model.

Authors:  Marius M Hoeper; Tilmann Kramer; Zixuan Pan; Christina A Eichstaedt; Jens Spiesshoefer; Nicola Benjamin; Karen M Olsson; Katrin Meyer; Carmine Dario Vizza; Anton Vonk-Noordegraaf; Oliver Distler; Christian Opitz; J Simon R Gibbs; Marion Delcroix; H Ardeschir Ghofrani; Doerte Huscher; David Pittrow; Stephan Rosenkranz; Ekkehard Grünig
Journal:  Eur Respir J       Date:  2017-08-03       Impact factor: 16.671

2.  Risk assessment, prognosis and guideline implementation in pulmonary arterial hypertension.

Authors:  Athénaïs Boucly; Jason Weatherald; Laurent Savale; Xavier Jaïs; Vincent Cottin; Grégoire Prevot; François Picard; Pascal de Groote; Mitja Jevnikar; Emmanuel Bergot; Ari Chaouat; Céline Chabanne; Arnaud Bourdin; Florence Parent; David Montani; Gérald Simonneau; Marc Humbert; Olivier Sitbon
Journal:  Eur Respir J       Date:  2017-08-03       Impact factor: 16.671

3.  The REVEAL Registry risk score calculator in patients newly diagnosed with pulmonary arterial hypertension.

Authors:  Raymond L Benza; Mardi Gomberg-Maitland; Dave P Miller; Adaani Frost; Robert P Frantz; Aimee J Foreman; David B Badesch; Michael D McGoon
Journal:  Chest       Date:  2011-06-16       Impact factor: 9.410

4.  Assessing risk in pulmonary arterial hypertension: what we know, what we don't.

Authors:  Raymond L Benza; Harrison W Farber; Mona Selej; Mardi Gomberg-Maitland
Journal:  Eur Respir J       Date:  2017-08-03       Impact factor: 16.671

Review 5.  The Low-Risk Profile in Pulmonary Arterial Hypertension. Time for a Paradigm Shift to Goal-oriented Clinical Trial Endpoints?

Authors:  Jason Weatherald; Athénaïs Boucly; Sandeep Sahay; Marc Humbert; Olivier Sitbon
Journal:  Am J Respir Crit Care Med       Date:  2018-04-01       Impact factor: 21.405

6.  Riociguat for the treatment of pulmonary arterial hypertension.

Authors:  Hossein-Ardeschir Ghofrani; Nazzareno Galiè; Friedrich Grimminger; Ekkehard Grünig; Marc Humbert; Zhi-Cheng Jing; Anne M Keogh; David Langleben; Michael Ochan Kilama; Arno Fritsch; Dieter Neuser; Lewis J Rubin
Journal:  N Engl J Med       Date:  2013-07-25       Impact factor: 91.245

Review 7.  Risk assessment in pulmonary arterial hypertension.

Authors:  Amresh Raina; Marc Humbert
Journal:  Eur Respir Rev       Date:  2016-12

8.  A comprehensive risk stratification at early follow-up determines prognosis in pulmonary arterial hypertension.

Authors:  David Kylhammar; Barbro Kjellström; Clara Hjalmarsson; Kjell Jansson; Magnus Nisell; Stefan Söderberg; Gerhard Wikström; Göran Rådegran
Journal:  Eur Heart J       Date:  2018-12-14       Impact factor: 29.983

9.  2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT).

Authors:  Nazzareno Galiè; Marc Humbert; Jean-Luc Vachiery; Simon Gibbs; Irene Lang; Adam Torbicki; Gérald Simonneau; Andrew Peacock; Anton Vonk Noordegraaf; Maurice Beghetti; Ardeschir Ghofrani; Miguel Angel Gomez Sanchez; Georg Hansmann; Walter Klepetko; Patrizio Lancellotti; Marco Matucci; Theresa McDonagh; Luc A Pierard; Pedro T Trindade; Maurizio Zompatori; Marius Hoeper
Journal:  Eur Heart J       Date:  2015-08-29       Impact factor: 29.983

10.  Combination Therapy with Oral Treprostinil for Pulmonary Arterial Hypertension. A Double-Blind Placebo-controlled Clinical Trial.

Authors:  R James White; Carlos Jerjes-Sanchez; Gisela Martina Bohns Meyer; Tomas Pulido; Pablo Sepulveda; Kuo Yang Wang; Ekkehard Grünig; Shirish Hiremath; Zaixin Yu; Zhang Gangcheng; Wei Luen James Yip; Shuyang Zhang; Akram Khan; C Q Deng; Rob Grover; Victor F Tapson
Journal:  Am J Respir Crit Care Med       Date:  2020-03-15       Impact factor: 21.405

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  20 in total

1.  Plasma Cell-Free DNA Predicts Survival and Maps Specific Sources of Injury in Pulmonary Arterial Hypertension.

Authors:  Sean Agbor-Enoh; Michael A Solomon; Samuel B Brusca; Jason M Elinoff; Yvette Zou; Moon Kyoo Jang; Hyesik Kong; Cumhur Y Demirkale; Junfeng Sun; Fayaz Seifuddin; Mehdi Pirooznia; Hannah A Valantine; Carl Tanba; Abhishek Chaturvedi; Grace M Graninger; Bonnie Harper; Li-Yuan Chen; Justine Cole; Manreet Kanwar; Raymond L Benza; Ioana R Preston
Journal:  Circulation       Date:  2022-08-25       Impact factor: 39.918

2.  Real-world treatment patterns, healthcare resource utilization, and cost among adults with pulmonary arterial hypertension in the United States.

Authors:  Lia N Pizzicato; Vijay R Nadipelli; Samuel Governor; Jianbin Mao; Stephan Lanes; John Butler; Rebecca S Pepe; Hemant Phatak; Karim El-Kersh
Journal:  Pulm Circ       Date:  2022-06-08       Impact factor: 2.886

Review 3.  Harnessing Big Data to Advance Treatment and Understanding of Pulmonary Hypertension.

Authors:  Christopher J Rhodes; Andrew J Sweatt; Bradley A Maron
Journal:  Circ Res       Date:  2022-04-28       Impact factor: 23.213

Review 4.  Regular Risk Assessment in Pulmonary Arterial Hypertension - A Whistleblower for Hidden Disease Progression.

Authors:  Shu-Hao Wu; Yih-Jer Wu
Journal:  Acta Cardiol Sin       Date:  2022-03       Impact factor: 2.672

5.  Pulmonary Arterial Hypertension: Diagnosis, Treatment, and Novel Advances.

Authors:  Bradley A Maron; Steven H Abman; C Greg Elliott; Robert P Frantz; Rachel K Hopper; Evelyn M Horn; Mark R Nicolls; Oksana A Shlobin; Sanjiv J Shah; Gabor Kovacs; Horst Olschewski; Erika B Rosenzweig
Journal:  Am J Respir Crit Care Med       Date:  2021-06-15       Impact factor: 30.528

6.  Mortality in Pulmonary Arterial Hypertension in the Modern Era: Early Insights From the Pulmonary Hypertension Association Registry.

Authors:  Kevin Y Chang; Sue Duval; David B Badesch; Todd M Bull; Murali M Chakinala; Teresa De Marco; Robert P Frantz; Anna Hemnes; Stephen C Mathai; Erika Berman Rosenzweig; John J Ryan; Thenappan Thenappan
Journal:  J Am Heart Assoc       Date:  2022-04-27       Impact factor: 6.106

7.  Novel composite clinical endpoints and risk scores used in clinical trials in pulmonary arterial hypertension.

Authors:  Olivier Sitbon; Sylvia Nikkho; Raymond Benza; Chunqin Cq Deng; Harrison W Farber; Mardi G Maitland; Paul Hassoun; Christian Meier; Joanna Pepke-Zaba; Krishna Prasad; Werner Seeger; Paul A Corris
Journal:  Pulm Circ       Date:  2020-11-18       Impact factor: 3.017

8.  The Evolution of Risk Assessment in Pulmonary Arterial Hypertension.

Authors:  Sandhya Murthy; Raymond Benza
Journal:  Methodist Debakey Cardiovasc J       Date:  2021-07-01

9.  When "AMBITION" Isn't Good Enough: Risk Status and Dual Oral Therapy in Pulmonary Arterial Hypertension.

Authors:  Noah C Schoenberg; Harrison W Farber
Journal:  Am J Respir Crit Care Med       Date:  2021-02-15       Impact factor: 21.405

10.  Short-Term Impact of Iron Deficiency in Different Subsets of Patients with Precapillary Pulmonary Hypertension from an Eastern European Pulmonary Hypertension Referral Center.

Authors:  Ioan Tilea; Dorina Nastasia Petra; Razvan Constantin Serban; Manuela Rozalia Gabor; Mariana Cornelia Tilinca; Leonard Azamfirei; Andreea Varga
Journal:  Int J Gen Med       Date:  2021-07-12
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