Association of C-Reactive Protein Velocity with Early Left Ventricular Dysfunction in Patients with First ST-Elevation Myocardial Infarction Article Swipe
Magdalena Holzknecht
,
Christina Tiller
,
Martin Reindl
,
Ivan Lechner
,
Priscilla Fink
,
Patrick Lunger
,
Agnes Mayr
,
Benjamin Henninger
,
Christoph Brenner
,
Gert Klug
,
Axel Bauer
,
Bernhard Metzler
,
Sebastian J. Reinstadler
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/jcm10235494
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/jcm10235494
C-reactive protein velocity (CRPv) has been proposed as a very early and sensitive risk predictor in patients with ST-elevation myocardial infarction (STEMI). However, the association of CRPv with early left ventricular (LV) dysfunction after STEMI is unknown. The aim of this study was to investigate the relationship between CRPv and early LV dysfunction, either before or at hospital discharge, in patients with first STEMI. This analysis evaluated 432 STEMI patients that were included in the prospective MARINA-STEMI (Magnetic Resonance Imaging In Acute ST-elevation Myocardial Infarction. ClinicalTrials.gov Identifier: NCT04113356) cohort study. The difference of CRP 24 ± 8 h and CRP at hospital admission divided by the time (in h) that elapsed during the two examinations was defined as CRPv. Cardiac magnetic resonance (CMR) imaging was conducted at a median of 3 (IQR 2–4) days after primary percutaneous coronary intervention (PCI) for the determination of LV function and myocardial infarct characteristics. The association of CRPv with the CMR-derived LV ejection fraction (LVEF) was investigated. The median CRPv was 0.42 (IQR 0.21–0.76) mg/l/h and was correlated with LVEF (rS = −0.397, p < 0.001). In multivariable linear as well as binary logistic regression analysis (adjustment for biomarkers and clinical and angiographical parameters), CRPv was independently associated with LVEF (β: 0.161, p = 0.004) and LVEF ≤ 40% (OR: 1.71, 95% CI: 1.19–2.45; p = 0.004), respectively. The combined predictive value of peak cardiac troponin T (cTnT) and CRPv for LVEF ≤ 40% (AUC: 0.81, 95% CI 0.77–0.85, p < 0.001) was higher than it was for peak cTnT alone (AUC difference: 0.04, p = 0.009). CRPv was independently associated with early LV dysfunction, as measured by the CMR-determined LVEF, revealing an additive predictive value over cTnT after acute STEMI treated with primary PCI.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jcm10235494
- https://www.mdpi.com/2077-0383/10/23/5494/pdf?version=1637747441
- OA Status
- gold
- Cited By
- 12
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3217782556
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3217782556Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jcm10235494Digital Object Identifier
- Title
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Association of C-Reactive Protein Velocity with Early Left Ventricular Dysfunction in Patients with First ST-Elevation Myocardial InfarctionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-24Full publication date if available
- Authors
-
Magdalena Holzknecht, Christina Tiller, Martin Reindl, Ivan Lechner, Priscilla Fink, Patrick Lunger, Agnes Mayr, Benjamin Henninger, Christoph Brenner, Gert Klug, Axel Bauer, Bernhard Metzler, Sebastian J. ReinstadlerList of authors in order
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https://doi.org/10.3390/jcm10235494Publisher landing page
- PDF URL
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https://www.mdpi.com/2077-0383/10/23/5494/pdf?version=1637747441Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2077-0383/10/23/5494/pdf?version=1637747441Direct OA link when available
- Concepts
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Medicine, Cardiology, Internal medicine, Myocardial infarction, Association (psychology), Philosophy, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 2, 2022: 7Per-year citation counts (last 5 years)
- References (count)
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52Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(IQR | 131, 168 |
| abstract_inverted_index.(LV) | 31 |
| abstract_inverted_index.(OR: | 215 |
| abstract_inverted_index.(β: | 206 |
| abstract_inverted_index.0.42 | 167 |
| abstract_inverted_index.CRPv | 26, 48, 153, 165, 200, 235, 263 |
| abstract_inverted_index.LVEF | 175, 205, 212, 237 |
| abstract_inverted_index.PCI. | 290 |
| abstract_inverted_index.This | 64 |
| abstract_inverted_index.been | 5 |
| abstract_inverted_index.cTnT | 255, 283 |
| abstract_inverted_index.days | 133 |
| abstract_inverted_index.left | 29 |
| abstract_inverted_index.over | 282 |
| abstract_inverted_index.peak | 229, 254 |
| abstract_inverted_index.risk | 13 |
| abstract_inverted_index.than | 250 |
| abstract_inverted_index.that | 70, 109 |
| abstract_inverted_index.this | 40 |
| abstract_inverted_index.time | 106 |
| abstract_inverted_index.very | 9 |
| abstract_inverted_index.well | 186 |
| abstract_inverted_index.were | 71 |
| abstract_inverted_index.with | 17, 27, 61, 154, 174, 204, 267, 288 |
| abstract_inverted_index.(AUC: | 240 |
| abstract_inverted_index.(CMR) | 122 |
| abstract_inverted_index.(PCI) | 139 |
| abstract_inverted_index.0.04, | 259 |
| abstract_inverted_index.0.81, | 241 |
| abstract_inverted_index.1.71, | 216 |
| abstract_inverted_index.Acute | 81 |
| abstract_inverted_index.CRPv. | 118 |
| abstract_inverted_index.LVEF, | 276 |
| abstract_inverted_index.STEMI | 34, 68, 286 |
| abstract_inverted_index.acute | 285 |
| abstract_inverted_index.after | 33, 134, 284 |
| abstract_inverted_index.alone | 256 |
| abstract_inverted_index.early | 10, 28, 50, 268 |
| abstract_inverted_index.first | 62 |
| abstract_inverted_index.study | 41 |
| abstract_inverted_index.value | 227, 281 |
| abstract_inverted_index.(CRPv) | 3 |
| abstract_inverted_index.(LVEF) | 160 |
| abstract_inverted_index.(cTnT) | 233 |
| abstract_inverted_index.0.001) | 247 |
| abstract_inverted_index.0.004) | 210 |
| abstract_inverted_index.0.161, | 207 |
| abstract_inverted_index.2–4) | 132 |
| abstract_inverted_index.STEMI. | 63 |
| abstract_inverted_index.before | 54 |
| abstract_inverted_index.binary | 188 |
| abstract_inverted_index.cohort | 88 |
| abstract_inverted_index.during | 111 |
| abstract_inverted_index.either | 53 |
| abstract_inverted_index.higher | 249 |
| abstract_inverted_index.linear | 184 |
| abstract_inverted_index.median | 128, 164 |
| abstract_inverted_index.mg/l/h | 170 |
| abstract_inverted_index.study. | 89 |
| abstract_inverted_index.0.001). | 181 |
| abstract_inverted_index.0.004), | 222 |
| abstract_inverted_index.0.009). | 262 |
| abstract_inverted_index.Cardiac | 119 |
| abstract_inverted_index.Imaging | 79 |
| abstract_inverted_index.between | 47 |
| abstract_inverted_index.cardiac | 230 |
| abstract_inverted_index.defined | 116 |
| abstract_inverted_index.divided | 103 |
| abstract_inverted_index.elapsed | 110 |
| abstract_inverted_index.imaging | 123 |
| abstract_inverted_index.infarct | 148 |
| abstract_inverted_index.primary | 135, 289 |
| abstract_inverted_index.protein | 1 |
| abstract_inverted_index.treated | 287 |
| abstract_inverted_index.(STEMI). | 21 |
| abstract_inverted_index.However, | 22 |
| abstract_inverted_index.additive | 279 |
| abstract_inverted_index.analysis | 65, 191 |
| abstract_inverted_index.clinical | 196 |
| abstract_inverted_index.combined | 225 |
| abstract_inverted_index.coronary | 137 |
| abstract_inverted_index.ejection | 158 |
| abstract_inverted_index.fraction | 159 |
| abstract_inverted_index.function | 145 |
| abstract_inverted_index.hospital | 57, 101 |
| abstract_inverted_index.included | 72 |
| abstract_inverted_index.logistic | 189 |
| abstract_inverted_index.magnetic | 120 |
| abstract_inverted_index.measured | 272 |
| abstract_inverted_index.patients | 16, 60, 69 |
| abstract_inverted_index.proposed | 6 |
| abstract_inverted_index.troponin | 231 |
| abstract_inverted_index.unknown. | 36 |
| abstract_inverted_index.velocity | 2 |
| abstract_inverted_index.(Magnetic | 77 |
| abstract_inverted_index.Resonance | 78 |
| abstract_inverted_index.admission | 102 |
| abstract_inverted_index.conducted | 125 |
| abstract_inverted_index.evaluated | 66 |
| abstract_inverted_index.predictor | 14 |
| abstract_inverted_index.resonance | 121 |
| abstract_inverted_index.revealing | 277 |
| abstract_inverted_index.sensitive | 12 |
| abstract_inverted_index.−0.397, | 178 |
| abstract_inverted_index.C-reactive | 0 |
| abstract_inverted_index.Myocardial | 83 |
| abstract_inverted_index.associated | 203, 266 |
| abstract_inverted_index.biomarkers | 194 |
| abstract_inverted_index.correlated | 173 |
| abstract_inverted_index.difference | 91 |
| abstract_inverted_index.discharge, | 58 |
| abstract_inverted_index.infarction | 20 |
| abstract_inverted_index.myocardial | 19, 147 |
| abstract_inverted_index.predictive | 226, 280 |
| abstract_inverted_index.regression | 190 |
| abstract_inverted_index.(adjustment | 192 |
| abstract_inverted_index.CMR-derived | 156 |
| abstract_inverted_index.Identifier: | 86 |
| abstract_inverted_index.Infarction. | 84 |
| abstract_inverted_index.association | 24, 151 |
| abstract_inverted_index.difference: | 258 |
| abstract_inverted_index.dysfunction | 32 |
| abstract_inverted_index.investigate | 44 |
| abstract_inverted_index.prospective | 75 |
| abstract_inverted_index.ventricular | 30 |
| abstract_inverted_index.0.21–0.76) | 169 |
| abstract_inverted_index.0.77–0.85, | 244 |
| abstract_inverted_index.1.19–2.45; | 219 |
| abstract_inverted_index.MARINA-STEMI | 76 |
| abstract_inverted_index.NCT04113356) | 87 |
| abstract_inverted_index.ST-elevation | 18, 82 |
| abstract_inverted_index.dysfunction, | 52, 270 |
| abstract_inverted_index.examinations | 114 |
| abstract_inverted_index.intervention | 138 |
| abstract_inverted_index.parameters), | 199 |
| abstract_inverted_index.percutaneous | 136 |
| abstract_inverted_index.relationship | 46 |
| abstract_inverted_index.determination | 142 |
| abstract_inverted_index.independently | 202, 265 |
| abstract_inverted_index.investigated. | 162 |
| abstract_inverted_index.multivariable | 183 |
| abstract_inverted_index.respectively. | 223 |
| abstract_inverted_index.CMR-determined | 275 |
| abstract_inverted_index.angiographical | 198 |
| abstract_inverted_index.characteristics. | 149 |
| abstract_inverted_index.ClinicalTrials.gov | 85 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5040412372 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I143397708, https://openalex.org/I190249584 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.85171321 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |