Heart failure with preserved ejection fraction diagnostic scores in an Asian population Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.1002/ejhf.1851
Heart failure with preserved ejection fraction (HFpEF) is a global epidemic, with increasing prevalence especially in aging societies such as Asia.1 Non-invasive diagnosis of HFpEF is especially challenging and currently relies on a combination of symptoms and signs, increased natriuretic peptides as well as structural and/or functional alterations on echocardiography signifying increased left ventricular filling pressures.2 Recently, the H2FPEF score3 and a novel algorithm by the Heart Failure Association of the European Society of Cardiology (HFA-PEFF)4 have been proposed for the diagnosis of HFpEF. The H2FPEF score includes a combination of clinical characteristic [age, obesity and atrial fibrillation (AF)] and echocardiographic parameters, while the new HFA-PEFF score includes echocardiographic characteristics such as left atrial enlargement combined with natriuretic peptide elevation. Asian patients with HFpEF are almost a decade younger than their western counterparts, have a lower prevalence of obesity and AF, and generally have smaller heart sizes with less concomitant left atrial enlargement.1 Thus, we hypothesized that both scores may be less sensitive for the diagnosis of HFpEF in Asian patients with HFpEF. Accordingly, we aimed to test the ability of the HFA-PEFF and H2FPEF scores to distinguish HFpEF from hypertensive controls in an Asian population. We assessed the utility of the HFA-PEFF and H2FPEF to distinguish 233 patients with HFpEF from 273 hypertensive controls in the Singapore Heart failure Outcomes and Phenotypes (SHOP) study.5 In brief, HFpEF cases were Asian adults with a clinical diagnosis of heart failure independently established by a cardiologist and left ventricular ejection fraction ≥50%. Patients with severe valve disease were excluded. Hypertensive controls without heart failure were asymptomatic free adults, randomly sampled within five districts in the southeastern region of Singapore by a door-to-door census,5 who either had an established diagnosis of hypertension, on anti-hypertensive medications or systolic blood pressure >140 mmHg. We provided additional validation in a separate cohort recruited as part of the Asian neTwork for Translational Research and Cardiovascular Trials (ATTRaCT) study (https://www.a-star.edu.sg/attract), which prospectively included 122 patients with HFpEF and 57 hypertensive controls with similar inclusion and exclusion criteria as the SHOP study. We compared sensitivity, specificity, positive and negative predictive value (PPV/NPV), and area under the receiver-operating characteristic curve (AUC) of the HFA-PEFF and H2FPEF scores in both the SHOP and ATTRaCT cohorts. According to the HFA-PEFF and H2FPEF scores, the diagnosis was determined by a sum score ≥5 out of a total of 6 and ≥6 out of 9, respectively. Median percentage of missing variables (25th and 75th percentile) in SHOP data was 2% (1.2–3.2%) and 3% (2.5–9.3%) in ATTRaCT. To account for missing data, we generated five imputed datasets using multichain Monte Carlo methods with Gibbs sampling, and calculated the HFA-PEFF and H2FPEF scores in these datasets separately. The diagnosis of HFpEF was determined by majority rule for each score. In SHOP, patients with HFpEF had a mean age of 68 ± 11.7 years, 52% were women, 26% were obese (body mass index ≥ 30 kg/m2), 31% had a history of AF, 86% had N-terminal pro-B-type natriuretic peptide (NT-proBNP) > 125 pg/mL, 98% had increased filling pressures (E/e′ ≥ 13 or e′ septal and lateral wall 125 pg/mL, and 90% had increased filling pressures. Hypertensive controls were 60 ± 14.8 years old and 56% were female. Sensitivity for distinguishing HFpEF from hypertensive controls was higher for HFA-PEFF score (73.8%), and lower for the H2FPEF score (24.9%), with corresponding specificities of 81.3% and 87.9%, respectively. In the ATTRaCT cohort, the sensitivities were lower, but specificities higher, compared to the SHOP cohort, with similar patterns comparing the HFA-PEFF and H2FPEF scores. The best discrimination of HFpEF from controls was achieved using HFA-PEFF in SHOP [AUC 0.776; 95% confidence interval (CI) 0.739–0.776]. Discrimination was better using continuous values than the cutoff for clinical diagnosis. All scores had prognostic properties, with hazard ratios for 1-year mortality in SHOP of 2.88 (95% CI 1.57–5.28; P = 0.0007) and 1.42 (95% CI 1.13–1.79; P = 0.0028) per point increase for HFA-PEFF and H2FpEF, respectively. Figure 1 shows the prevalence of patients with HFpEF that fulfilled each component of the various diagnostic algorithms. For the H2FPEF score, the components most frequently fulfilled were hypertension and increased filling pressures, whereas the least frequently satisfied components were AF, obesity and pulmonary hypertension. We included the 2016 European Society of Cardiology (ESC) sub-criteria in this figure. The biomarker and structural heart disease criteria of ESC 2016 were most frequently satisfied; for the HFA-PEFF score, the biomarker and morphological domains were similarly most frequently fulfilled. This suggests that the H2FPEF score was disadvantaged in our Asian population by not including a natriuretic peptide criterion and by including the AF and obesity criteria – given the high prevalence of raised natriuretic peptide levels, and low prevalence of AF and obesity in our Asian HFpEF population.1, 6-8 Lowering the obesity cutoff from 30 to 27 kg/m2 increased sensitivity (from 24.9% to 30.9%), while maintaining the same specificity in SHOP for the H2FPEF score. Conversely, the lack of gold standard invasive exercise haemodynamics for diagnosing HFpEF and potential clinical use of natriuretic peptides in identifying patients with HFpEF, might have led to a relative overestimation of diagnostic accuracy of the HFA-PEFF score, which are also largely based on increased natriuretic peptides, increased atrial size and filling pressures (E/e′). In secondary analyses stratified by ethnicity, the AUC for the H2FPEF score was lowest in Malay (0.64) compared to Chinese (0.74) and Indian (0.71) participants. The AUC for the HFA-PEFF score was lowest in Indian (0.57) compared to Chinese (0.77) and Malay (0.75) participants. Lastly, we optimized the Youden index for our cohorts, and found that the optimal cutoffs were 3 and 5 for both SHOP and ATTRaCT for H2FPEF and HFA-PEFF, respectively. This increased sensitivity, but decreased specificity, as compared to the original diagnostic cutoffs (Table 1). Our study shows that the H2FPEF and HFA-PEFF scores have reasonable specificities, but limited sensitivities for the diagnosis of HFpEF in an Asian population. Two recent studies independently validated the H2FPEF score and HFA-PEFF score in predominantly Caucasian and western populations.9, 10 However, like the current study, these prior studies did not definitively ascertain HFpEF or non-HFpEF status using invasive testing. Both studies showed that the scores were good at identifying patients with HFpEF, but poor at ruling out HFpEF. Our data extend upon this previous work by showing that both the HFA-PEFF and H2FPEF scores may have lower diagnostic performance in Asian populations with HFpEF compared to western populations. Possible reasons include younger age and lower prevalence of obesity and AF, despite high natriuretic peptide levels, in Asian patients with HFpEF. We acknowledge that HFpEF diagnostic criteria are best tested in patient populations presenting with general dyspnoea, all of whom also undergo gold standard testing with exercise invasive haemodynamics; however, in the absence of such data we attempted to get as close as possible to the comparison of clinical interest by including hypertensive controls rather than healthy controls. The performance of diagnostic scores might also be different in populations with lower NT-proBNP levels. Strengths of our approach included prospective recruitment of HFpEF cases and controls from the same nationwide population, with standardized echocardiographic and blood sampling protocols. Our data suggest that the application of existing diagnostic criteria and scores to Asian populations may miss some cases with HFpEF. Potential ethnic differences and need to recalibrate diagnostic cutoffs in Asians deserve further study. Conflict of interest: none declared.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ejhf.1851
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1851
- OA Status
- bronze
- Cited By
- 21
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3022139708
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https://openalex.org/W3022139708Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/ejhf.1851Digital Object Identifier
- Title
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Heart failure with preserved ejection fraction diagnostic scores in an Asian populationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-05-06Full publication date if available
- Authors
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Wouter Ouwerkerk, Jasper Tromp, Xuanyi Jin, Fazlur Jaufeerally, Poh Shuan Daniel Yeo, Kui Toh Gerard Leong, Hean Yee Ong, Lieng Hsi Ling, Seet Yoong Loh, David Sim, Lee Sheldon, Dinna Soon, Calvin Chin, Mark Richards, Carolyn S.P. LamList of authors in order
- Landing page
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https://doi.org/10.1002/ejhf.1851Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1851Direct link to full text PDF
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- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1851Direct OA link when available
- Concepts
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Medicine, Heart failure, Ejection fraction, Cardiology, Internal medicine, Heart failure with preserved ejection fraction, Population, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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21Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | European Journal of Heart Failure |
| best_oa_location.landing_page_url | https://doi.org/10.1002/ejhf.1851 |
| primary_location.id | doi:10.1002/ejhf.1851 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S87609158 |
| primary_location.source.issn | 1388-9842, 1879-0844 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1388-9842 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | European Journal of Heart Failure |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.license | |
| primary_location.pdf_url | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ejhf.1851 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | European Journal of Heart Failure |
| primary_location.landing_page_url | https://doi.org/10.1002/ejhf.1851 |
| publication_date | 2020-05-06 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2886419215, https://openalex.org/W6753363155, https://openalex.org/W4293860347, https://openalex.org/W2804511116, https://openalex.org/W2971111962, https://openalex.org/W2171069751, https://openalex.org/W2891664574, https://openalex.org/W2792397491, https://openalex.org/W2968398558, https://openalex.org/W6767163330, https://openalex.org/W2970087176, https://openalex.org/W2944378578, https://openalex.org/W2427094903 |
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| abstract_inverted_index.1 | 717 |
| abstract_inverted_index.3 | 992 |
| abstract_inverted_index.5 | 994 |
| abstract_inverted_index.6 | 395 |
| abstract_inverted_index.= | 698, 706 |
| abstract_inverted_index.> | 502, 573 |
| abstract_inverted_index.P | 697, 705 |
| abstract_inverted_index.a | 8, 32, 61, 88, 126, 134, 233, 242, 278, 303, 386, 392, 469, 491, 526, 566, 817, 906 |
| abstract_inverted_index.10 | 1061 |
| abstract_inverted_index.13 | 512 |
| abstract_inverted_index.2% | 415 |
| abstract_inverted_index.27 | 859 |
| abstract_inverted_index.3% | 418 |
| abstract_inverted_index.30 | 487, 857 |
| abstract_inverted_index.57 | 330 |
| abstract_inverted_index.60 | 553, 585 |
| abstract_inverted_index.62 | 539 |
| abstract_inverted_index.68 | 473 |
| abstract_inverted_index.9, | 400 |
| abstract_inverted_index.<9 | 519 |
| abstract_inverted_index.AF | 825, 843 |
| abstract_inverted_index.CI | 695, 703 |
| abstract_inverted_index.In | 225, 463, 547, 622, 932 |
| abstract_inverted_index.To | 422 |
| abstract_inverted_index.We | 196, 298, 343, 761, 1152 |
| abstract_inverted_index.an | 193, 284, 530, 1041 |
| abstract_inverted_index.as | 19, 41, 43, 111, 307, 339, 1011, 1191, 1193 |
| abstract_inverted_index.at | 1089, 1096 |
| abstract_inverted_index.be | 160, 1216 |
| abstract_inverted_index.by | 64, 241, 277, 385, 457, 814, 822, 936, 1107, 1201 |
| abstract_inverted_index.in | 15, 168, 192, 215, 271, 302, 367, 411, 420, 447, 658, 690, 771, 810, 846, 872, 897, 946, 965, 1040, 1055, 1121, 1147, 1161, 1181, 1218, 1278 |
| abstract_inverted_index.is | 7, 25 |
| abstract_inverted_index.of | 23, 34, 69, 73, 82, 90, 137, 166, 180, 200, 236, 275, 287, 309, 361, 391, 394, 399, 404, 453, 472, 493, 523, 535, 568, 617, 650, 692, 721, 729, 767, 781, 834, 842, 881, 894, 909, 912, 1038, 1138, 1169, 1184, 1198, 1211, 1225, 1231, 1254, 1284 |
| abstract_inverted_index.on | 31, 48, 289, 921 |
| abstract_inverted_index.or | 292, 513, 1075 |
| abstract_inverted_index.to | 176, 186, 205, 375, 634, 858, 865, 905, 950, 969, 1013, 1127, 1189, 1195, 1260, 1274 |
| abstract_inverted_index.we | 154, 174, 427, 977, 1187 |
| abstract_inverted_index.± | 474, 540, 554, 586 |
| abstract_inverted_index.1). | 1019 |
| abstract_inverted_index.122 | 325 |
| abstract_inverted_index.125 | 503, 574 |
| abstract_inverted_index.23% | 522 |
| abstract_inverted_index.233 | 207 |
| abstract_inverted_index.26% | 480 |
| abstract_inverted_index.273 | 212 |
| abstract_inverted_index.29% | 564 |
| abstract_inverted_index.31% | 489, 558 |
| abstract_inverted_index.41% | 561 |
| abstract_inverted_index.42% | 529 |
| abstract_inverted_index.52% | 477, 544 |
| abstract_inverted_index.56% | 591 |
| abstract_inverted_index.6-8 | 851 |
| abstract_inverted_index.71% | 570 |
| abstract_inverted_index.86% | 495 |
| abstract_inverted_index.9.8 | 541 |
| abstract_inverted_index.90% | 577 |
| abstract_inverted_index.95% | 662 |
| abstract_inverted_index.98% | 505 |
| abstract_inverted_index.AF, | 140, 494, 569, 756, 1141 |
| abstract_inverted_index.AUC | 939, 958 |
| abstract_inverted_index.All | 679 |
| abstract_inverted_index.ESC | 782 |
| abstract_inverted_index.For | 734 |
| abstract_inverted_index.Our | 1020, 1100, 1248 |
| abstract_inverted_index.The | 84, 451, 647, 774, 957, 1209 |
| abstract_inverted_index.Two | 1044 |
| abstract_inverted_index.age | 471, 534, 1134 |
| abstract_inverted_index.all | 1168 |
| abstract_inverted_index.and | 28, 36, 60, 95, 99, 139, 141, 183, 203, 221, 244, 316, 329, 336, 348, 353, 364, 371, 378, 396, 408, 417, 440, 444, 516, 521, 528, 543, 576, 590, 607, 619, 644, 700, 713, 745, 758, 776, 794, 821, 826, 839, 844, 890, 928, 953, 972, 985, 993, 998, 1002, 1026, 1052, 1058, 1113, 1135, 1140, 1234, 1244, 1258, 1272 |
| abstract_inverted_index.are | 124, 917, 1158 |
| abstract_inverted_index.but | 630, 1008, 1032, 1094 |
| abstract_inverted_index.did | 1070 |
| abstract_inverted_index.for | 79, 163, 313, 424, 460, 595, 603, 609, 676, 687, 711, 788, 874, 887, 940, 959, 982, 995, 1000, 1035 |
| abstract_inverted_index.get | 1190 |
| abstract_inverted_index.had | 283, 468, 490, 496, 506, 525, 565, 571, 578, 681 |
| abstract_inverted_index.led | 904 |
| abstract_inverted_index.low | 840 |
| abstract_inverted_index.may | 159, 1116, 1263 |
| abstract_inverted_index.new | 104 |
| abstract_inverted_index.not | 815, 1071 |
| abstract_inverted_index.old | 589 |
| abstract_inverted_index.our | 811, 847, 983, 1226 |
| abstract_inverted_index.out | 390, 398, 1098 |
| abstract_inverted_index.per | 708 |
| abstract_inverted_index.sum | 387 |
| abstract_inverted_index.the | 57, 65, 70, 80, 103, 164, 178, 181, 198, 201, 216, 272, 310, 340, 356, 362, 369, 376, 381, 442, 610, 623, 626, 635, 642, 674, 719, 730, 735, 738, 750, 763, 789, 792, 805, 824, 831, 853, 869, 875, 879, 913, 938, 941, 960, 979, 988, 1014, 1024, 1036, 1049, 1064, 1085, 1111, 1182, 1196, 1237, 1252 |
| abstract_inverted_index.use | 893 |
| abstract_inverted_index.was | 383, 414, 455, 538, 601, 654, 668, 808, 944, 963 |
| abstract_inverted_index.who | 281 |
| abstract_inverted_index.– | 829 |
| abstract_inverted_index.≥ | 486, 511 |
| abstract_inverted_index.(95% | 694, 702 |
| abstract_inverted_index.(CI) | 665 |
| abstract_inverted_index.1.42 | 701 |
| abstract_inverted_index.11.7 | 475 |
| abstract_inverted_index.14.8 | 555, 587 |
| abstract_inverted_index.2.88 | 693 |
| abstract_inverted_index.2016 | 764, 783 |
| abstract_inverted_index.75th | 409 |
| abstract_inverted_index.>140 | 296 |
| abstract_inverted_index.Both | 1081 |
| abstract_inverted_index.Mean | 533 |
| abstract_inverted_index.SHOP | 341, 370, 412, 636, 659, 691, 873, 997 |
| abstract_inverted_index.This | 802, 1005 |
| abstract_inverted_index.[AUC | 660 |
| abstract_inverted_index.also | 918, 1171, 1215 |
| abstract_inverted_index.area | 354 |
| abstract_inverted_index.been | 77 |
| abstract_inverted_index.best | 648, 1159 |
| abstract_inverted_index.both | 157, 368, 996, 1110 |
| abstract_inverted_index.data | 413, 1101, 1186, 1249 |
| abstract_inverted_index.each | 461, 727 |
| abstract_inverted_index.e′ | 514 |
| abstract_inverted_index.five | 269, 429 |
| abstract_inverted_index.free | 264 |
| abstract_inverted_index.from | 189, 211, 598, 652, 856, 1236 |
| abstract_inverted_index.gold | 882, 1173 |
| abstract_inverted_index.good | 1088 |
| abstract_inverted_index.have | 76, 133, 143, 903, 1029, 1117 |
| abstract_inverted_index.high | 832, 1143 |
| abstract_inverted_index.lack | 880 |
| abstract_inverted_index.left | 52, 112, 150, 245 |
| abstract_inverted_index.less | 148, 161 |
| abstract_inverted_index.like | 1063 |
| abstract_inverted_index.mass | 484 |
| abstract_inverted_index.mean | 470 |
| abstract_inverted_index.miss | 1264 |
| abstract_inverted_index.most | 740, 785, 799 |
| abstract_inverted_index.need | 1273 |
| abstract_inverted_index.none | 1286 |
| abstract_inverted_index.old, | 557 |
| abstract_inverted_index.part | 308 |
| abstract_inverted_index.poor | 1095 |
| abstract_inverted_index.rule | 459 |
| abstract_inverted_index.same | 870, 1238 |
| abstract_inverted_index.size | 927 |
| abstract_inverted_index.some | 1265 |
| abstract_inverted_index.such | 18, 110, 1185 |
| abstract_inverted_index.test | 177 |
| abstract_inverted_index.than | 129, 673, 1206 |
| abstract_inverted_index.that | 156, 725, 804, 987, 1023, 1084, 1109, 1154, 1251 |
| abstract_inverted_index.this | 772, 1104 |
| abstract_inverted_index.upon | 1103 |
| abstract_inverted_index.wall | 518 |
| abstract_inverted_index.well | 42 |
| abstract_inverted_index.were | 229, 255, 262, 478, 481, 545, 552, 559, 562, 584, 592, 628, 743, 755, 784, 797, 991, 1087 |
| abstract_inverted_index.whom | 1170 |
| abstract_inverted_index.with | 2, 11, 116, 122, 147, 171, 209, 232, 251, 327, 333, 437, 466, 550, 614, 638, 684, 723, 900, 1092, 1124, 1150, 1165, 1176, 1220, 1241, 1267 |
| abstract_inverted_index.work | 1106 |
| abstract_inverted_index.≥5 | 389 |
| abstract_inverted_index.≥6 | 397 |
| abstract_inverted_index.(25th | 407 |
| abstract_inverted_index.(AF)] | 98 |
| abstract_inverted_index.(AUC) | 360 |
| abstract_inverted_index.(ESC) | 769 |
| abstract_inverted_index.(body | 483 |
| abstract_inverted_index.(from | 863 |
| abstract_inverted_index.24.9% | 864 |
| abstract_inverted_index.81.3% | 618 |
| abstract_inverted_index.Asian | 120, 169, 194, 230, 311, 812, 848, 1042, 1122, 1148, 1261 |
| abstract_inverted_index.Carlo | 435 |
| abstract_inverted_index.Gibbs | 438 |
| abstract_inverted_index.HFpEF | 24, 123, 167, 188, 210, 227, 328, 454, 467, 551, 597, 651, 724, 849, 889, 1039, 1074, 1125, 1155, 1232 |
| abstract_inverted_index.Heart | 0, 66, 218 |
| abstract_inverted_index.Malay | 947, 973 |
| abstract_inverted_index.Monte | 434 |
| abstract_inverted_index.SHOP, | 464 |
| abstract_inverted_index.Thus, | 153 |
| abstract_inverted_index.[age, | 93 |
| abstract_inverted_index.aging | 16 |
| abstract_inverted_index.aimed | 175 |
| abstract_inverted_index.based | 920 |
| abstract_inverted_index.blood | 294, 1245 |
| abstract_inverted_index.cases | 228, 1233, 1266 |
| abstract_inverted_index.close | 1192 |
| abstract_inverted_index.cm/s) | 520 |
| abstract_inverted_index.curve | 359 |
| abstract_inverted_index.data, | 426 |
| abstract_inverted_index.found | 986 |
| abstract_inverted_index.given | 830 |
| abstract_inverted_index.heart | 145, 237, 260, 778 |
| abstract_inverted_index.index | 485, 981 |
| abstract_inverted_index.kg/m2 | 860 |
| abstract_inverted_index.least | 751 |
| abstract_inverted_index.lower | 135, 608, 1118, 1136, 1221 |
| abstract_inverted_index.might | 902, 1214 |
| abstract_inverted_index.mmHg. | 297 |
| abstract_inverted_index.novel | 62 |
| abstract_inverted_index.obese | 482 |
| abstract_inverted_index.point | 709 |
| abstract_inverted_index.prior | 1068 |
| abstract_inverted_index.score | 86, 106, 388, 605, 612, 807, 943, 962, 1051, 1054 |
| abstract_inverted_index.shows | 718, 1022 |
| abstract_inverted_index.sizes | 146 |
| abstract_inverted_index.study | 320, 1021 |
| abstract_inverted_index.their | 130 |
| abstract_inverted_index.these | 448, 1067 |
| abstract_inverted_index.total | 393 |
| abstract_inverted_index.under | 355 |
| abstract_inverted_index.using | 432, 656, 670, 1078 |
| abstract_inverted_index.value | 351 |
| abstract_inverted_index.valve | 253 |
| abstract_inverted_index.which | 322, 916 |
| abstract_inverted_index.while | 102, 867 |
| abstract_inverted_index.years | 542, 556, 588 |
| abstract_inverted_index.(0.57) | 967 |
| abstract_inverted_index.(0.64) | 948 |
| abstract_inverted_index.(0.71) | 955 |
| abstract_inverted_index.(0.74) | 952 |
| abstract_inverted_index.(0.75) | 974 |
| abstract_inverted_index.(0.77) | 971 |
| abstract_inverted_index.(SHOP) | 223 |
| abstract_inverted_index.(Table | 1018 |
| abstract_inverted_index.0.776; | 661 |
| abstract_inverted_index.1-year | 688 |
| abstract_inverted_index.87.9%, | 620 |
| abstract_inverted_index.Asia.1 | 20 |
| abstract_inverted_index.Asians | 1279 |
| abstract_inverted_index.Figure | 716 |
| abstract_inverted_index.H2FPEF | 58, 85, 184, 204, 365, 379, 445, 611, 645, 736, 806, 876, 942, 1001, 1025, 1050, 1114 |
| abstract_inverted_index.HFpEF, | 901, 1093 |
| abstract_inverted_index.HFpEF. | 83, 172, 1099, 1151, 1268 |
| abstract_inverted_index.Indian | 954, 966 |
| abstract_inverted_index.Median | 402 |
| abstract_inverted_index.Trials | 318 |
| abstract_inverted_index.Youden | 980 |
| abstract_inverted_index.adults | 231 |
| abstract_inverted_index.almost | 125 |
| abstract_inverted_index.and/or | 45 |
| abstract_inverted_index.atrial | 96, 113, 151, 926 |
| abstract_inverted_index.better | 669 |
| abstract_inverted_index.brief, | 226 |
| abstract_inverted_index.cohort | 305 |
| abstract_inverted_index.cutoff | 675, 855 |
| abstract_inverted_index.decade | 127 |
| abstract_inverted_index.either | 282 |
| abstract_inverted_index.ethnic | 1270 |
| abstract_inverted_index.extend | 1102 |
| abstract_inverted_index.global | 9 |
| abstract_inverted_index.hazard | 685 |
| abstract_inverted_index.higher | 602 |
| abstract_inverted_index.lower, | 629 |
| abstract_inverted_index.lowest | 945, 964 |
| abstract_inverted_index.obese, | 563 |
| abstract_inverted_index.pg/mL, | 504, 575 |
| abstract_inverted_index.raised | 835 |
| abstract_inverted_index.rather | 1205 |
| abstract_inverted_index.ratios | 686 |
| abstract_inverted_index.recent | 1045 |
| abstract_inverted_index.region | 274 |
| abstract_inverted_index.relies | 30 |
| abstract_inverted_index.ruling | 1097 |
| abstract_inverted_index.score, | 737, 791, 915 |
| abstract_inverted_index.score. | 462, 877 |
| abstract_inverted_index.score3 | 59 |
| abstract_inverted_index.scores | 158, 185, 366, 446, 680, 1028, 1086, 1115, 1213, 1259 |
| abstract_inverted_index.septal | 515 |
| abstract_inverted_index.severe | 252 |
| abstract_inverted_index.showed | 1083 |
| abstract_inverted_index.signs, | 37 |
| abstract_inverted_index.status | 1077 |
| abstract_inverted_index.study, | 1066 |
| abstract_inverted_index.study. | 342, 1282 |
| abstract_inverted_index.tested | 1160 |
| abstract_inverted_index.values | 672 |
| abstract_inverted_index.within | 268 |
| abstract_inverted_index.women, | 479 |
| abstract_inverted_index.women. | 546 |
| abstract_inverted_index.years, | 476 |
| abstract_inverted_index.(E/e′ | 510 |
| abstract_inverted_index.(HFpEF) | 6 |
| abstract_inverted_index.0.0007) | 699 |
| abstract_inverted_index.0.0028) | 707 |
| abstract_inverted_index.30.9%), | 866 |
| abstract_inverted_index.ATTRaCT | 372, 624, 999 |
| abstract_inverted_index.Chinese | 951, 970 |
| abstract_inverted_index.Failure | 67 |
| abstract_inverted_index.H2FpEF, | 714 |
| abstract_inverted_index.Lastly, | 976 |
| abstract_inverted_index.Society | 72, 766 |
| abstract_inverted_index.ability | 179 |
| abstract_inverted_index.absence | 1183 |
| abstract_inverted_index.account | 423 |
| abstract_inverted_index.adults, | 265 |
| abstract_inverted_index.cohort, | 625, 637 |
| abstract_inverted_index.current | 1065 |
| abstract_inverted_index.cutoffs | 990, 1017, 1277 |
| abstract_inverted_index.deserve | 1280 |
| abstract_inverted_index.despite | 1142 |
| abstract_inverted_index.disease | 254, 779 |
| abstract_inverted_index.domains | 796 |
| abstract_inverted_index.failure | 1, 219, 238, 261 |
| abstract_inverted_index.female, | 560 |
| abstract_inverted_index.female. | 593 |
| abstract_inverted_index.figure. | 773 |
| abstract_inverted_index.filling | 54, 508, 580, 747, 929 |
| abstract_inverted_index.further | 1281 |
| abstract_inverted_index.general | 1166 |
| abstract_inverted_index.healthy | 1207 |
| abstract_inverted_index.higher, | 632 |
| abstract_inverted_index.history | 492, 567 |
| abstract_inverted_index.imputed | 430 |
| abstract_inverted_index.include | 1132 |
| abstract_inverted_index.kg/m2), | 488 |
| abstract_inverted_index.largely | 919 |
| abstract_inverted_index.lateral | 517 |
| abstract_inverted_index.levels, | 838, 1146 |
| abstract_inverted_index.levels. | 1223 |
| abstract_inverted_index.limited | 1033 |
| abstract_inverted_index.methods | 436 |
| abstract_inverted_index.missing | 405, 425 |
| abstract_inverted_index.neTwork | 312 |
| abstract_inverted_index.obesity | 94, 138, 757, 827, 845, 854, 1139 |
| abstract_inverted_index.optimal | 989 |
| abstract_inverted_index.patient | 1162 |
| abstract_inverted_index.peptide | 118, 500, 819, 837, 1145 |
| abstract_inverted_index.reasons | 1131 |
| abstract_inverted_index.sampled | 267 |
| abstract_inverted_index.scores, | 380 |
| abstract_inverted_index.scores. | 646 |
| abstract_inverted_index.showing | 1108 |
| abstract_inverted_index.similar | 334, 639 |
| abstract_inverted_index.smaller | 144 |
| abstract_inverted_index.studies | 1046, 1069, 1082 |
| abstract_inverted_index.study.5 | 224 |
| abstract_inverted_index.suggest | 1250 |
| abstract_inverted_index.testing | 1175 |
| abstract_inverted_index.undergo | 1172 |
| abstract_inverted_index.utility | 199 |
| abstract_inverted_index.various | 731 |
| abstract_inverted_index.western | 131, 1059, 1128 |
| abstract_inverted_index.whereas | 749 |
| abstract_inverted_index.without | 259 |
| abstract_inverted_index.younger | 128, 1133 |
| abstract_inverted_index.≥50%. | 249 |
| abstract_inverted_index.(24.9%), | 613 |
| abstract_inverted_index.(73.8%), | 606 |
| abstract_inverted_index.ATTRaCT, | 548 |
| abstract_inverted_index.ATTRaCT. | 421 |
| abstract_inverted_index.Conflict | 1283 |
| abstract_inverted_index.European | 71, 765 |
| abstract_inverted_index.HFA-PEFF | 105, 182, 202, 363, 377, 443, 604, 643, 657, 712, 790, 914, 961, 1027, 1053, 1112 |
| abstract_inverted_index.However, | 1062 |
| abstract_inverted_index.Lowering | 852 |
| abstract_inverted_index.Outcomes | 220 |
| abstract_inverted_index.Patients | 250 |
| abstract_inverted_index.Possible | 1130 |
| abstract_inverted_index.Research | 315 |
| abstract_inverted_index.accuracy | 911 |
| abstract_inverted_index.achieved | 655 |
| abstract_inverted_index.analyses | 934 |
| abstract_inverted_index.approach | 1227 |
| abstract_inverted_index.assessed | 197 |
| abstract_inverted_index.census,5 | 280 |
| abstract_inverted_index.clinical | 91, 234, 677, 892, 1199 |
| abstract_inverted_index.cohorts, | 984 |
| abstract_inverted_index.cohorts. | 373 |
| abstract_inverted_index.combined | 115 |
| abstract_inverted_index.compared | 344, 633, 949, 968, 1012, 1126 |
| abstract_inverted_index.controls | 191, 214, 258, 332, 537, 583, 600, 653, 1204, 1235 |
| abstract_inverted_index.criteria | 338, 780, 828, 1157, 1257 |
| abstract_inverted_index.datasets | 431, 449 |
| abstract_inverted_index.ejection | 4, 247 |
| abstract_inverted_index.exercise | 885, 1177 |
| abstract_inverted_index.existing | 1255 |
| abstract_inverted_index.fraction | 5, 248 |
| abstract_inverted_index.however, | 1180 |
| abstract_inverted_index.included | 324, 762, 1228 |
| abstract_inverted_index.includes | 87, 107 |
| abstract_inverted_index.increase | 710 |
| abstract_inverted_index.interest | 1200 |
| abstract_inverted_index.interval | 664 |
| abstract_inverted_index.invasive | 884, 1079, 1178 |
| abstract_inverted_index.majority | 458 |
| abstract_inverted_index.negative | 349 |
| abstract_inverted_index.original | 1015 |
| abstract_inverted_index.patients | 121, 170, 208, 326, 465, 524, 549, 722, 899, 1091, 1149 |
| abstract_inverted_index.patterns | 640 |
| abstract_inverted_index.peptides | 40, 896 |
| abstract_inverted_index.positive | 347 |
| abstract_inverted_index.possible | 1194 |
| abstract_inverted_index.pressure | 295 |
| abstract_inverted_index.previous | 1105 |
| abstract_inverted_index.proposed | 78 |
| abstract_inverted_index.provided | 299 |
| abstract_inverted_index.randomly | 266 |
| abstract_inverted_index.relative | 907 |
| abstract_inverted_index.sampling | 1246 |
| abstract_inverted_index.separate | 304 |
| abstract_inverted_index.standard | 883, 1174 |
| abstract_inverted_index.suggests | 803 |
| abstract_inverted_index.symptoms | 35 |
| abstract_inverted_index.systolic | 293 |
| abstract_inverted_index.testing. | 1080 |
| abstract_inverted_index.(ATTRaCT) | 319 |
| abstract_inverted_index.(E/e′). | 931 |
| abstract_inverted_index.According | 374 |
| abstract_inverted_index.Caucasian | 1057 |
| abstract_inverted_index.HFA-PEFF, | 1003 |
| abstract_inverted_index.NT-proBNP | 572, 1222 |
| abstract_inverted_index.Potential | 1269 |
| abstract_inverted_index.Recently, | 56 |
| abstract_inverted_index.Singapore | 217, 276 |
| abstract_inverted_index.Strengths | 1224 |
| abstract_inverted_index.algorithm | 63 |
| abstract_inverted_index.ascertain | 1073 |
| abstract_inverted_index.attempted | 1188 |
| abstract_inverted_index.biomarker | 775, 793 |
| abstract_inverted_index.comparing | 641 |
| abstract_inverted_index.component | 728 |
| abstract_inverted_index.controls. | 1208 |
| abstract_inverted_index.criterion | 820 |
| abstract_inverted_index.currently | 29 |
| abstract_inverted_index.declared. | 1287 |
| abstract_inverted_index.decreased | 1009 |
| abstract_inverted_index.diagnosis | 22, 81, 165, 235, 286, 382, 452, 1037 |
| abstract_inverted_index.different | 1217 |
| abstract_inverted_index.districts | 270 |
| abstract_inverted_index.dyspnoea, | 1167 |
| abstract_inverted_index.epidemic, | 10 |
| abstract_inverted_index.excluded. | 256 |
| abstract_inverted_index.exclusion | 337 |
| abstract_inverted_index.fulfilled | 726, 742 |
| abstract_inverted_index.generally | 142 |
| abstract_inverted_index.generated | 428 |
| abstract_inverted_index.including | 816, 823, 1202 |
| abstract_inverted_index.inclusion | 335 |
| abstract_inverted_index.increased | 38, 51, 507, 579, 746, 861, 922, 925, 1006 |
| abstract_inverted_index.interest: | 1285 |
| abstract_inverted_index.ischaemic | 531 |
| abstract_inverted_index.mortality | 689 |
| abstract_inverted_index.non-HFpEF | 1076 |
| abstract_inverted_index.optimized | 978 |
| abstract_inverted_index.peptides, | 924 |
| abstract_inverted_index.potential | 891 |
| abstract_inverted_index.preserved | 3 |
| abstract_inverted_index.pressures | 509, 930 |
| abstract_inverted_index.pulmonary | 759 |
| abstract_inverted_index.recruited | 306 |
| abstract_inverted_index.sampling, | 439 |
| abstract_inverted_index.satisfied | 753 |
| abstract_inverted_index.secondary | 933 |
| abstract_inverted_index.sensitive | 162 |
| abstract_inverted_index.similarly | 798 |
| abstract_inverted_index.societies | 17 |
| abstract_inverted_index.validated | 1048 |
| abstract_inverted_index.variables | 406 |
| abstract_inverted_index.(PPV/NPV), | 352 |
| abstract_inverted_index.Cardiology | 74, 768 |
| abstract_inverted_index.N-terminal | 497 |
| abstract_inverted_index.Phenotypes | 222 |
| abstract_inverted_index.additional | 300 |
| abstract_inverted_index.aetiology. | 532 |
| abstract_inverted_index.calculated | 441 |
| abstract_inverted_index.comparison | 1197 |
| abstract_inverted_index.components | 739, 754 |
| abstract_inverted_index.confidence | 663 |
| abstract_inverted_index.continuous | 671 |
| abstract_inverted_index.determined | 384, 456 |
| abstract_inverted_index.diagnosing | 888 |
| abstract_inverted_index.diagnosis. | 678 |
| abstract_inverted_index.diagnostic | 732, 910, 1016, 1119, 1156, 1212, 1256, 1276 |
| abstract_inverted_index.elevation. | 119 |
| abstract_inverted_index.especially | 14, 26 |
| abstract_inverted_index.ethnicity, | 937 |
| abstract_inverted_index.frequently | 741, 752, 786, 800 |
| abstract_inverted_index.fulfilled. | 801 |
| abstract_inverted_index.functional | 46 |
| abstract_inverted_index.increasing | 12 |
| abstract_inverted_index.multichain | 433 |
| abstract_inverted_index.nationwide | 1239 |
| abstract_inverted_index.percentage | 403 |
| abstract_inverted_index.population | 813 |
| abstract_inverted_index.predictive | 350 |
| abstract_inverted_index.presenting | 1164 |
| abstract_inverted_index.pressures, | 748 |
| abstract_inverted_index.pressures. | 581 |
| abstract_inverted_index.prevalence | 13, 136, 720, 833, 841, 1137 |
| abstract_inverted_index.pro-B-type | 498 |
| abstract_inverted_index.prognostic | 682 |
| abstract_inverted_index.protocols. | 1247 |
| abstract_inverted_index.reasonable | 1030 |
| abstract_inverted_index.satisfied; | 787 |
| abstract_inverted_index.signifying | 50 |
| abstract_inverted_index.stratified | 935 |
| abstract_inverted_index.structural | 44, 777 |
| abstract_inverted_index.validation | 301 |
| abstract_inverted_index.(HFA-PEFF)4 | 75 |
| abstract_inverted_index.(NT-proBNP) | 501 |
| abstract_inverted_index.Association | 68 |
| abstract_inverted_index.Conversely, | 878 |
| abstract_inverted_index.Sensitivity | 594 |
| abstract_inverted_index.acknowledge | 1153 |
| abstract_inverted_index.algorithms. | 733 |
| abstract_inverted_index.alterations | 47 |
| abstract_inverted_index.application | 1253 |
| abstract_inverted_index.challenging | 27 |
| abstract_inverted_index.combination | 33, 89 |
| abstract_inverted_index.concomitant | 149 |
| abstract_inverted_index.differences | 1271 |
| abstract_inverted_index.distinguish | 187, 206 |
| abstract_inverted_index.enlargement | 114 |
| abstract_inverted_index.established | 240, 285 |
| abstract_inverted_index.identifying | 898, 1090 |
| abstract_inverted_index.maintaining | 868 |
| abstract_inverted_index.medications | 291 |
| abstract_inverted_index.natriuretic | 39, 117, 499, 818, 836, 895, 923, 1144 |
| abstract_inverted_index.parameters, | 101 |
| abstract_inverted_index.percentile) | 410 |
| abstract_inverted_index.performance | 1120, 1210 |
| abstract_inverted_index.population, | 1240 |
| abstract_inverted_index.population. | 195, 1043 |
| abstract_inverted_index.populations | 1123, 1163, 1219, 1262 |
| abstract_inverted_index.pressures.2 | 55 |
| abstract_inverted_index.properties, | 683 |
| abstract_inverted_index.prospective | 1229 |
| abstract_inverted_index.recalibrate | 1275 |
| abstract_inverted_index.recruitment | 1230 |
| abstract_inverted_index.sensitivity | 862 |
| abstract_inverted_index.separately. | 450 |
| abstract_inverted_index.specificity | 871 |
| abstract_inverted_index.ventricular | 53, 246 |
| abstract_inverted_index.(1.2–3.2%) | 416 |
| abstract_inverted_index.(2.5–9.3%) | 419 |
| abstract_inverted_index.1.13–1.79; | 704 |
| abstract_inverted_index.1.57–5.28; | 696 |
| abstract_inverted_index.Accordingly, | 173 |
| abstract_inverted_index.Hypertensive | 257, 582 |
| abstract_inverted_index.Non-invasive | 21 |
| abstract_inverted_index.asymptomatic | 263 |
| abstract_inverted_index.cardiologist | 243 |
| abstract_inverted_index.definitively | 1072 |
| abstract_inverted_index.door-to-door | 279 |
| abstract_inverted_index.fibrillation | 97 |
| abstract_inverted_index.hypertension | 744 |
| abstract_inverted_index.hypertensive | 190, 213, 331, 527, 536, 599, 1203 |
| abstract_inverted_index.hypothesized | 155 |
| abstract_inverted_index.populations. | 1129 |
| abstract_inverted_index.sensitivity, | 345, 1007 |
| abstract_inverted_index.southeastern | 273 |
| abstract_inverted_index.specificity, | 346, 1010 |
| abstract_inverted_index.standardized | 1242 |
| abstract_inverted_index.sub-criteria | 770 |
| abstract_inverted_index.Translational | 314 |
| abstract_inverted_index.corresponding | 615 |
| abstract_inverted_index.counterparts, | 132 |
| abstract_inverted_index.disadvantaged | 809 |
| abstract_inverted_index.enlargement.1 | 152 |
| abstract_inverted_index.haemodynamics | 886 |
| abstract_inverted_index.hypertension, | 288 |
| abstract_inverted_index.hypertension. | 760 |
| abstract_inverted_index.independently | 239, 1047 |
| abstract_inverted_index.morphological | 795 |
| abstract_inverted_index.participants. | 956, 975 |
| abstract_inverted_index.population.1, | 850 |
| abstract_inverted_index.predominantly | 1056 |
| abstract_inverted_index.prospectively | 323 |
| abstract_inverted_index.respectively. | 401, 621, 715, 1004 |
| abstract_inverted_index.sensitivities | 627, 1034 |
| abstract_inverted_index.specificities | 616, 631 |
| abstract_inverted_index.Cardiovascular | 317 |
| abstract_inverted_index.Discrimination | 667 |
| abstract_inverted_index.characteristic | 92, 358 |
| abstract_inverted_index.discrimination | 649 |
| abstract_inverted_index.distinguishing | 596 |
| abstract_inverted_index.haemodynamics; | 1179 |
| abstract_inverted_index.overestimation | 908 |
| abstract_inverted_index.populations.9, | 1060 |
| abstract_inverted_index.specificities, | 1031 |
| abstract_inverted_index.0.739–0.776]. | 666 |
| abstract_inverted_index.characteristics | 109 |
| abstract_inverted_index.echocardiography | 49 |
| abstract_inverted_index.anti-hypertensive | 290 |
| abstract_inverted_index.echocardiographic | 100, 108, 1243 |
| abstract_inverted_index.receiver-operating | 357 |
| abstract_inverted_index.(https://www.a-star.edu.sg/attract), | 321 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5067422552 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 15 |
| corresponding_institution_ids | https://openalex.org/I1334415907, https://openalex.org/I169381384, https://openalex.org/I4210126319, https://openalex.org/I4210147238 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.88154432 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |