| Literature DB >> 32079477 |
Kurt W Prins1, Rajat Kalra1, Lauren Rose1, Tufik R Assad2, Stephen L Archer3, Navkaranbir S Bajaj4, E Kenneth Weir1, Sasha Z Prisco1, Marc Pritzker1, Pamela L Lutsey5, Evan L Brittain6, Thenappan Thenappan1.
Abstract
Background Pulmonary arterial hypertension (PAH) is a lethal disease. In resource-limited countries PAH outcomes are worse because therapy costs are prohibitive. To improve global outcomes, noninvasive and widely available biomarkers that identify high-risk patients should be defined. Serum chloride is widely available and predicts mortality in left heart failure, but its prognostic utility in PAH requires further investigation. Methods and Results In this study 475 consecutive PAH patients evaluated at the University of Minnesota and Vanderbilt University PAH clinics were examined. Clinical characteristics were compared by tertiles of serum chloride. Both the Kaplan-Meier method and Cox regression analysis were used to assess survival and predictors of mortality, respectively. Categorical net reclassification improvement and relative integrated discrimination improvement compared prediction models. PAH patients in the lowest serum chloride tertile (≤101 mmol/L: hypochloremia) had the lowest 6-minute walk distance and highest right atrial pressure despite exhibiting no differences in pulmonary vascular disease severity. The 1-, 3-, and 5-year survival was reduced in hypochloremic patients when compared with the middle- and highest-tertile patients (86%/64%/44%, 95%/78%/59%, and, 91%/79%/66%). After adjustment for age, sex, diuretic use, serum sodium, bicarbonate, and creatinine, the hypochloremic patients had increased mortality when compared with the middle-tertile and highest-tertile patients. The Minnesota noninvasive model (functional class, 6-minute walk distance, and hypochloremia) was as effective as the French noninvasive model (functional class, 6-minute walk distance, and elevated brain natriuretic peptide or N-terminal pro-brain natriuretic peptide) for predicting mortality. Conclusions Hypochloremia (≤101 mmol/L) identifies high-risk PAH patients independent of serum sodium, renal function, and diuretic use.Entities:
Keywords: biomarkers; chloride; pulmonary arterial hypertension; right atrial pressure; right ventricular failure
Mesh:
Substances:
Year: 2020 PMID: 32079477 PMCID: PMC7335577 DOI: 10.1161/JAHA.119.015221
Source DB: PubMed Journal: J Am Heart Assoc ISSN: 2047-9980 Impact factor: 5.501
Figure 1Distribution of serum chloride levels in the study cohort.
Clinical Characteristics of Study Cohort by Tertiles of Serum Chloride Levels
| Characteristics | Total Cohort (n=475) | Lowest Tertile (n=120) | Middle Tertile (n=167) | Highest Tertile (n=188) |
|
|---|---|---|---|---|---|
| Age, y | 52±15 | 54±14 | 53±14 | 50±15 | 0.02 |
| Female, n (%) | 357 (75) | 96 (80) | 124 (74) | 137 (73) | 0.35 |
| Body mass index, kg/m2 | 28.7±6.9 | 28.7±7.0 | 28.9±7.3 | 28.6±6.6 | 0.92 |
| Medications, n (%) | |||||
| Diuretics | 265 (56) | 86 (72) | 102 (61) | 77 (41) | <0.001 |
| Calcium channel blockers | 84 (18) | 21 (18) | 30 (18) | 33 (18) | 0.99 |
| Phosphodiesterase‐5 inhibitors | 94 (20) | 23 (19) | 30 (18) | 41 (22) | 0.67 |
| Endothelin receptor antagonists | 71 (15) | 22 (18) | 22 (13) | 27 (14) | 0.46 |
| Prostacyclins | 80 (17) | 25 (21) | 28 (17) | 27 (14) | 0.34 |
| PAH‐specific treatment naive | 298 (63) | 66 (55) | 109 (65) | 123 (65) | 0.128 |
| Etiology of PAH, n (%) | 0.04 | ||||
| Idiopathic | 169 (35) | 55 (46) | 53 (32) | 61 (32) | |
| Heritable | 20 (4) | 1 (1) | 6 (3) | 13 (7) | |
| Drug‐induced (anorexigen or methamphetamine) | 15 (3) | 3 (3) | 5 (3) | 7 (4) | |
| Connective tissue disease | 151 (32) | 42 (35) | 55 (33) | 54 (28) | |
| Congenital heart disease | 51 (11) | 4 (3) | 25 (15) | 22 (12) | |
| Human immunodeficiency virus infection | 10 (2) | 2 (2) | 3 (2) | 5 (3) | |
| Portopulmonary hypertension | 56 (12) | 12 (10) | 20 (12) | 24 (13) | |
| Others | 3 (1) | 1 (1) | 0 (0) | 2 (1) | |
| 6‐minute walk test | |||||
| Distance, m (n=358) | 332±117 | 305±130 (n=84) | 339±110 (n=130) | 344±113 (n=144) | 0.04 |
| Laboratory values | |||||
| Serum sodium, mmol/L (n=473) | 138±4 | 136±5 | 139±3 | 140±3 | <0.001 |
| Serum chloride, mmol/L (n=475) | 104±5 | 97±4 | 103±1 | 108±2 | <0.001 |
| Serum bicarbonate, mmol/L (n=473) | 25±4 | 28±5 | 26±3 | 24±3 | <0.001 |
| Serum creatinine, mg/dL (n=475) | 1.1±0.8 | 1.2±1.0 | 1.0±0.9 | 1.0±0.3 | 0.06 |
| Serum BNP, pg/dL (n=240) | 513±752 | 835±1208 | 401±411 | 404±513 | 0.11 |
| Serum NT‐proBNP, pg/dL (n=152) | 3085±6371 | 5752±11 433 | 2692±3368 | 2137±4224 | 0.13 |
| Serum hemoglobin, g/dL (n=472) | 13.6±2.5 | 13.0±2.0 | 14.2±2.4 | 13.5±2.3 | <0.001 |
| Echocardiography | |||||
| Left ventricular EF, % (n=432) | 62±13 | 62±13 | 62±13 | 62±13 | 0.83 |
| Right ventricular enlargement (n=447) | 362 (81) | 98 (84) | 125 (80) | 139 (80) | 0.66 |
| Right ventricular dysfunction (n=443) | 316 (71) | 89 (77) | 113 (72) | 114 (67) | 0.20 |
| Hemodynamics | |||||
| Heart rate, beats/min (n=371) | 78±14 | 82±13 | 79±13 | 76±14 | 0.005 |
| Mean right atrial, mm Hg (n=454) | 8±5 | 10±6 | 8±6 | 8±5 | <0.001 |
| Mean PAP, mm Hg (n=459) | 48±13 | 47±12 | 50±15 | 48±12 | 0.35 |
| PCWP, mm Hg (n=475) | 9±4 | 9±4 | 9±4 | 9±3 | 0.24 |
| Cardiac output, L/min (n=442) | 4.4±1.5 | 4.4±1.6 | 4.5±1.5 | 4.3±1.4 | 0.51 |
| Cardiac index, L/min per m2 (n=394) | 2.4±0.7 | 2.4±0.8 | 2.5±0.8 | 2.3±0.7 | 0.15 |
| Pulmonary arterial saturation (n=406) | 64±9 | 61±9 | 65±9 | 64±9 | 0.006 |
| PVR, WU (n=427) | 10.3±5.5 | 10.0±5.7 | 10.6±6.1 | 10.3±5.0 | 0.50 |
| PAC, mL/mm Hg (n=332) | 1.4±0.8 | 1.3±0.7 | 1.4±0.9 | 1.4±0.7 | 0.94 |
BNP indicates brain natriuretic peptide; EF, ejection fraction; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; PAC, pulmonary arterial compliance; PAH, pulmonary arterial hypertension; PAP, pulmonary artery pressure; PCWP, pulmonary capillary wedge pressure; PVR, pulmonary vascular resistance.
Vanderbilt University Medical Center cohort only.
University of Minnesota cohort only.
Clinical Correlates of Serum Chloride in Pulmonary Artery Hypertension
| Variable | β‐Coefficient | 95% CI |
|
|---|---|---|---|
| Age, y | −0.038 | −0.07, −0.007 | 0.014 |
| Female sex | −0.20 | −1.25, 0.85 | 0.71 |
| Body mass index, kg/m2 | 0.025 | −0.042, 0.093 | 0.47 |
| Use of diuretics | −2.37 | −3.26, −1.48 | <0.001 |
| PDE‐5 inhibitor | 0.61 | −0.53, 1.75 | 0.29 |
| ERA | −0.37 | −1.65, 0.90 | 0.56 |
| 6MWD | 0.005 | 0.0006, 0.009 | 0.03 |
| Sodium, mmol/L | 0.78 | 0.67, 0.88 | <0.001 |
| Bicarbonate, mmol/L | −0.75 | −0.84, −0.65 | <0.001 |
| Creatinine, mg/dL | −0.76 | −1.35, −0.16 | 0.013 |
| BNP, pg/dL | −0.002 | −0.003, −0.0008 | <0.001 |
| NT‐proBNP, pg/dL | −0.00009 | −0.0002, 0.00002 | 0.11 |
| LVEF, % | 0.018 | −0.018, 0.054 | 0.317 |
| RV enlargement | −0.40 | −1.59, 0.80 | 0.517 |
| RV dysfunction | −1.53 | −2.57, −0.49 | 0.004 |
| Heart rate, beats per min | −0.047 | −0.086, −0.009 | 0.015 |
| RA pressure, mm Hg | −0.13 | −0.22, −0.047 | 0.003 |
| mPAP, mm Hg | 0.014 | −0.021, 0.049 | 0.429 |
| PCWP, mm Hg | −0.020 | −0.144, 0.105 | 0.755 |
| Cardiac output, L/min | −0.177 | −0.493, 0.139 | 0.272 |
| Cardiac index, L/min per m2 | −0.445 | −1.13, 0.238 | 0.201 |
| PA saturation, % | 0.057 | 0.005, 0.109 | 0.031 |
| PVR, Wood Units | 0.021 | −0.067, 0.108 | 0.643 |
| PAC, mL/mm Hg | −0.103 | −0.812, 0.605 | 0.775 |
6MWD indicates 6‐minute walk distance; BNP, brain natriuretic peptide; ERA, endothelin receptor antagonists; LVEF, left ventricular ejection fraction; mPAP, mean pulmonary artery pressure; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; PA, pulmonary artery saturation; PAC, pulmonary arterial compliance; PCWP, pulmonary capillary wedge pressure; PDE‐5 inhibitors, phosphodiesterase‐5 inhibitors; PVR, pulmonary vascular resistance; RA, right atrial; RV, right ventricle.
Vanderbilt University Medical Center cohort only.
University of Minnesota cohort only.
Figure 2Kaplan‐Meier curves depicting survival stratified by tertiles of serum chloride. Patients in the lowest chloride tertile have reduced survival compared with the middle and highest tertiles.
Unadjusted and Adjusted Cox Proportional Hazards Ratio for the Lowest Tertile of Serum Chloride Levels as a Predictor of Mortality in PAH
| Reference Group | Hazard Ratio (95% CI) |
|
|---|---|---|
| Total cohort (N=475) | ||
| Unadjusted | ||
| Middle tertile of serum chloride | 1.65 (1.20‐2.27) | 0.002 |
| Highest tertile of serum chloride | 1.83 (1.31‐2.55) | <0.001 |
| Adjusted | ||
| Middle tertile of serum chloride | 1.58 (1.14‐2.17) | 0.005 |
| Highest tertile of serum chloride | 1.65 (1.21‐2.25) | 0.004 |
| After excluding patients on diuretics (n=210) | ||
| Unadjusted | ||
| Middle tertile of serum chloride | 2.46 (1.39‐4.35) | 0.002 |
| Highest tertile of serum chloride | 2.64 (1.56‐4.48) | <0.001 |
| Adjusted | ||
| Middle tertile of serum chloride | 1.38 (0.67‐2.83) | 0.379 |
| Highest tertile of serum chloride | 2.18 (1.34‐3.54) | 0.002 |
| After excluding patients on PAH‐specific vasodilator therapy at the time of referral (n=298) | ||
| Unadjusted | ||
| Middle tertile of serum chloride | 1.78 (1.17‐2.70) | 0.007 |
| Highest tertile of serum chloride | 1.85 (1.21‐2.81) | 0.004 |
| Adjusted | ||
| Middle tertile of serum chloride | 1.46 (0.86‐2.48) | 0.159 |
| Highest tertile of serum chloride | 1.87 (1.27‐2.75) | <0.001 |
PAH indicates pulmonary artery hypertension.
Adjusted for age, sex, diuretic use, serum sodium, serum bicarbonate, and serum creatinine.
Figure 3Kaplan‐Meier curve depicting survival stratified by tertiles of serum chloride in PAH patients not on diuretics. Hypochloremic patients have reduced survival compared with the highest‐ tertile patients after multivariate correction. PAH indicates pulmonary arterial hypertension.
Figure 4Kaplan‐Meier curve depicting survival stratified by tertiles of serum chloride in PAH‐specific treatment–naïve patients. Hypochloremic patients have reduced survival as compared with the highest tertile patients. PAH indicates pulmonary arterial hypertension.
Characterization of French and Minnesota Noninvasive Prediction Models for Predicting Mortality
| Model | Chi‐Squared Likelihood Ratio | Akaike Information Criterion | Bayesian Information Criterion | Harrell C Statistic |
|---|---|---|---|---|
| French | 55.0 | 2038.9 | 2321.4 | 0.64 |
| Minnesota | 55.3 | 2038.6 | 2321.0 | 0.64 |
Comparison of French and Minnesota Models for Predicting Mortality
| Baseline Model | New Model | Summary of Continuous Net Reclassification Index (95% CI) | Continuous Event and Nonevent Net Reclassification Indices (95% CI) | Summary of Integrative Discrimination Improvement (95% CI) | Event and Nonevent Integrative Discrimination Improvement (95% CI) |
|---|---|---|---|---|---|
| French | Minnesota | 0.342 (0.177, 0.501) | Event −0.309 (−0.427, −0.181) Nonevent 0.651 (0.547, 0.740) | 0.025 (0.002, 0.062) |
Event 0.013 (0.001, 0.033) Nonevent 0.01 (0.001, 0.028) |