Frequency of multi-vessel disease and its association with N Terminal-Pro Brain Natriuretic Peptide Levels among patients with First ST-Elevation Myocardial Infarction. Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.3126/nhj.v21i1.65664
Background and Aims: To determine the frequency of multi-vessel disease among patients with First ST-Elevation Myocardial Infarction and to identify the cutoff value of N Terminal-Pro Brain Natriuretic Peptide (NT-proBNP) for diagnosis of multi-vessel disease. Methodology: A descriptive cross-sectional study was conducted in the Department of Cardiology at a tertiary care hospital from September 2021 to February 2022. The study included 150 patients who presented to the emergency room with first ST-elevation myocardial infarction and preserved ejection fraction. NT-proBNP levels were tested within 12 hours of hospital admission. The severity of coronary artery disease was assessed by the number of vessels affected labeled, the luminal diameter narrowing and the syntax score. Results: The mean age of participants was 60.60±11.1 years. 76% were men, 53.3% of the participants had hypertension, 44% had type 2 diabetes, and 14% were smokers. The mean BMI of the patients was 27.86±3.86. The mean ejection fraction of the patients was 50±4.5.Single-vessel disease was present in 47 (31%) and 103 (69%) had multi-vessel disease. The mean NT-proBNP level in single-vessel disease was 561.34 pg/mL, and in multi-vessel disease, it was 1640.65 pg/mL. Raised levels of NT-proBNP were significantly associated with the severity of coronary artery disease. (P-value <0.05). The optimal cut-off value of NTpro-BNP for ruling out multiple vessel disease was 947.50 pg/mL at 81% of sensitivity.Conclusion: Pro-BNP is a valuable biomarker in assessing the severity of coronary artery disease in STEMI patients. Its levels have been shown to correlate with the degree of CAD severity including multi-vessel involvement.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3126/nhj.v21i1.65664
- https://www.nepjol.info/index.php/NHJ/article/download/65664/50357
- OA Status
- diamond
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399214846
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399214846Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3126/nhj.v21i1.65664Digital Object Identifier
- Title
-
Frequency of multi-vessel disease and its association with N Terminal-Pro Brain Natriuretic Peptide Levels among patients with First ST-Elevation Myocardial Infarction.Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-31Full publication date if available
- Authors
-
Kaleem Ullah Sheikh, Abeer Sarfaraz, Sana Sarfaraz, Aemon Zehra, Mohad Amir, Haad AmirList of authors in order
- Landing page
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https://doi.org/10.3126/nhj.v21i1.65664Publisher landing page
- PDF URL
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https://www.nepjol.info/index.php/NHJ/article/download/65664/50357Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.nepjol.info/index.php/NHJ/article/download/65664/50357Direct OA link when available
- Concepts
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Internal medicine, N-terminal pro-Brain Natriuretic Peptide, Association (psychology), Cardiology, Elevation (ballistics), Medicine, Myocardial infarction, Terminal (telecommunication), Brain natriuretic peptide, Natriuretic peptide, Psychology, Heart failure, Physics, Telecommunications, Computer science, Psychotherapist, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2024-05-31 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4392505655, https://openalex.org/W2981537929, https://openalex.org/W2990002436, https://openalex.org/W2768901393, https://openalex.org/W4320888332, https://openalex.org/W4293538905, https://openalex.org/W2899831112, https://openalex.org/W2805627560, https://openalex.org/W2954860393, https://openalex.org/W3034974302, https://openalex.org/W2097523487, https://openalex.org/W3203270195, https://openalex.org/W2012611754, https://openalex.org/W3153354171, https://openalex.org/W2907076708, https://openalex.org/W2899619088, https://openalex.org/W4327560938, https://openalex.org/W4322012333, https://openalex.org/W3126167614, https://openalex.org/W4391684294, https://openalex.org/W4249896096 |
| referenced_works_count | 21 |
| abstract_inverted_index.2 | 132 |
| abstract_inverted_index.A | 36 |
| abstract_inverted_index.N | 24 |
| abstract_inverted_index.a | 48, 222 |
| abstract_inverted_index.12 | 83 |
| abstract_inverted_index.47 | 159 |
| abstract_inverted_index.To | 3 |
| abstract_inverted_index.at | 47, 216 |
| abstract_inverted_index.by | 96 |
| abstract_inverted_index.in | 42, 158, 171, 178, 225, 233 |
| abstract_inverted_index.is | 221 |
| abstract_inverted_index.it | 181 |
| abstract_inverted_index.of | 7, 23, 32, 45, 85, 90, 99, 115, 124, 141, 150, 187, 195, 205, 218, 229, 246 |
| abstract_inverted_index.to | 18, 55, 65, 241 |
| abstract_inverted_index.103 | 162 |
| abstract_inverted_index.14% | 135 |
| abstract_inverted_index.150 | 61 |
| abstract_inverted_index.44% | 129 |
| abstract_inverted_index.76% | 120 |
| abstract_inverted_index.81% | 217 |
| abstract_inverted_index.BMI | 140 |
| abstract_inverted_index.CAD | 247 |
| abstract_inverted_index.Its | 236 |
| abstract_inverted_index.The | 58, 88, 112, 138, 146, 167, 201 |
| abstract_inverted_index.age | 114 |
| abstract_inverted_index.and | 1, 17, 74, 107, 134, 161, 177 |
| abstract_inverted_index.for | 30, 207 |
| abstract_inverted_index.had | 127, 130, 164 |
| abstract_inverted_index.out | 209 |
| abstract_inverted_index.the | 5, 20, 43, 66, 97, 103, 108, 125, 142, 151, 193, 227, 244 |
| abstract_inverted_index.was | 40, 94, 117, 144, 153, 156, 174, 182, 213 |
| abstract_inverted_index.who | 63 |
| abstract_inverted_index.2021 | 54 |
| abstract_inverted_index.been | 239 |
| abstract_inverted_index.care | 50 |
| abstract_inverted_index.from | 52 |
| abstract_inverted_index.have | 238 |
| abstract_inverted_index.mean | 113, 139, 147, 168 |
| abstract_inverted_index.men, | 122 |
| abstract_inverted_index.room | 68 |
| abstract_inverted_index.type | 131 |
| abstract_inverted_index.were | 80, 121, 136, 189 |
| abstract_inverted_index.with | 12, 69, 192, 243 |
| abstract_inverted_index.(31%) | 160 |
| abstract_inverted_index.(69%) | 163 |
| abstract_inverted_index.2022. | 57 |
| abstract_inverted_index.53.3% | 123 |
| abstract_inverted_index.Aims: | 2 |
| abstract_inverted_index.Brain | 26 |
| abstract_inverted_index.First | 13 |
| abstract_inverted_index.STEMI | 234 |
| abstract_inverted_index.among | 10 |
| abstract_inverted_index.first | 70 |
| abstract_inverted_index.hours | 84 |
| abstract_inverted_index.level | 170 |
| abstract_inverted_index.pg/mL | 215 |
| abstract_inverted_index.shown | 240 |
| abstract_inverted_index.study | 39, 59 |
| abstract_inverted_index.value | 22, 204 |
| abstract_inverted_index.561.34 | 175 |
| abstract_inverted_index.947.50 | 214 |
| abstract_inverted_index.Raised | 185 |
| abstract_inverted_index.artery | 92, 197, 231 |
| abstract_inverted_index.cutoff | 21 |
| abstract_inverted_index.degree | 245 |
| abstract_inverted_index.levels | 79, 186, 237 |
| abstract_inverted_index.number | 98 |
| abstract_inverted_index.pg/mL, | 176 |
| abstract_inverted_index.pg/mL. | 184 |
| abstract_inverted_index.ruling | 208 |
| abstract_inverted_index.score. | 110 |
| abstract_inverted_index.syntax | 109 |
| abstract_inverted_index.tested | 81 |
| abstract_inverted_index.vessel | 211 |
| abstract_inverted_index.within | 82 |
| abstract_inverted_index.years. | 119 |
| abstract_inverted_index.1640.65 | 183 |
| abstract_inverted_index.Peptide | 28 |
| abstract_inverted_index.Pro-BNP | 220 |
| abstract_inverted_index.cut-off | 203 |
| abstract_inverted_index.disease | 9, 93, 155, 173, 212, 232 |
| abstract_inverted_index.luminal | 104 |
| abstract_inverted_index.optimal | 202 |
| abstract_inverted_index.present | 157 |
| abstract_inverted_index.vessels | 100 |
| abstract_inverted_index.(P-value | 199 |
| abstract_inverted_index.February | 56 |
| abstract_inverted_index.Results: | 111 |
| abstract_inverted_index.affected | 101 |
| abstract_inverted_index.assessed | 95 |
| abstract_inverted_index.coronary | 91, 196, 230 |
| abstract_inverted_index.diameter | 105 |
| abstract_inverted_index.disease, | 180 |
| abstract_inverted_index.disease. | 34, 166, 198 |
| abstract_inverted_index.ejection | 76, 148 |
| abstract_inverted_index.fraction | 149 |
| abstract_inverted_index.hospital | 51, 86 |
| abstract_inverted_index.identify | 19 |
| abstract_inverted_index.included | 60 |
| abstract_inverted_index.labeled, | 102 |
| abstract_inverted_index.multiple | 210 |
| abstract_inverted_index.patients | 11, 62, 143, 152 |
| abstract_inverted_index.severity | 89, 194, 228, 248 |
| abstract_inverted_index.smokers. | 137 |
| abstract_inverted_index.tertiary | 49 |
| abstract_inverted_index.valuable | 223 |
| abstract_inverted_index.NT-proBNP | 78, 169, 188 |
| abstract_inverted_index.NTpro-BNP | 206 |
| abstract_inverted_index.September | 53 |
| abstract_inverted_index.assessing | 226 |
| abstract_inverted_index.biomarker | 224 |
| abstract_inverted_index.conducted | 41 |
| abstract_inverted_index.correlate | 242 |
| abstract_inverted_index.determine | 4 |
| abstract_inverted_index.diabetes, | 133 |
| abstract_inverted_index.diagnosis | 31 |
| abstract_inverted_index.emergency | 67 |
| abstract_inverted_index.fraction. | 77 |
| abstract_inverted_index.frequency | 6 |
| abstract_inverted_index.including | 249 |
| abstract_inverted_index.narrowing | 106 |
| abstract_inverted_index.patients. | 235 |
| abstract_inverted_index.presented | 64 |
| abstract_inverted_index.preserved | 75 |
| abstract_inverted_index.<0.05). | 200 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Cardiology | 46 |
| abstract_inverted_index.Department | 44 |
| abstract_inverted_index.Infarction | 16 |
| abstract_inverted_index.Myocardial | 15 |
| abstract_inverted_index.admission. | 87 |
| abstract_inverted_index.associated | 191 |
| abstract_inverted_index.infarction | 73 |
| abstract_inverted_index.myocardial | 72 |
| abstract_inverted_index.(NT-proBNP) | 29 |
| abstract_inverted_index.60.60±11.1 | 118 |
| abstract_inverted_index.Natriuretic | 27 |
| abstract_inverted_index.descriptive | 37 |
| abstract_inverted_index.27.86±3.86. | 145 |
| abstract_inverted_index.Methodology: | 35 |
| abstract_inverted_index.ST-Elevation | 14 |
| abstract_inverted_index.ST-elevation | 71 |
| abstract_inverted_index.Terminal-Pro | 25 |
| abstract_inverted_index.involvement. | 251 |
| abstract_inverted_index.multi-vessel | 8, 33, 165, 179, 250 |
| abstract_inverted_index.participants | 116, 126 |
| abstract_inverted_index.hypertension, | 128 |
| abstract_inverted_index.significantly | 190 |
| abstract_inverted_index.single-vessel | 172 |
| abstract_inverted_index.cross-sectional | 38 |
| abstract_inverted_index.50±4.5.Single-vessel | 154 |
| abstract_inverted_index.sensitivity.Conclusion: | 219 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.16061594 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |