Correlation risk analysis of serum Ang1-7 levels, ALBI scores and cardiac function in patients with heart failure Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5937/jomb0-61358
Objective: To explore the relationships between the serum angiotensin 1‒7 (Ang1‒7) and albumin‒bilirubin (ALBI) scores and cardiac function and short-term prognosis in patients with acute decompensated heart failure (ADHF). Methods: A total of 128 patients with ADHF admitted to our hospital from October 2022 to October 2024 composed the ADHF group, and the control group was made up of 79 healthy volunteers who had physical examinations at our hospital's physical examination facility during the same time period. The serum Ang1-7 levels of all research subjects were detected, and the ALBI score was calculated on the basis of the baseline albumin and bilirubin levels. Patients with ADHF were monitored for six months following their release. To analyze the correlations between serum Ang1-7 levels and ALBI scores in patients with ADHF and cardiac function parameters, To investigate the factors influencing the short-term prognosis of ADHF patients, multivariate logistic regression was employed. When forecasting the short-term outlook for ADHF patients, the value of serum Ang-1-7 in conjunction with the ALBI score was examined using ROC curve. Results: The ADHF group had a lower serum Ang1-7 level than the control group, and their ALBI score was greater (P<0.05) than the control group's. 1 patient was lost to follow-up, 54 patients had a poor prognosis, and 73 patients had a good prognosis. The group with a poor prognosis had a lower serum Ang1-7 level than the group with a good prognosis, and the ALBI score was higher than that of the group with a favorable prognosis (P<0.05). The ALBI score had a positive correlation with LAD and LVDd (P<0.05) and a negative correlation with LVEF (P<0.05). A high ALBI score, NYHA grade IV, and high BNP level are risk factors for poor short-term prognosis in patients with ADHF (P<0.05), whereas high Ang1-7 levels are protective factors for poor short-term prognosis in patients with ADHF (P<0.05). The ADHF patients' area under the curve (AUC) for forecasting a bad short-term prognosis by combining serum Ang-1-7 with the ALBI score was 0.911 (95% CI: 0.848–0.954), This exceeded the AUC estimated by the ALBI score and serum Ang-7 alone [0.814 (95% CI: 0.735–0.878), 0.819 (95% CI: 0.741–0.882)], and the differences were statistically significant (Z=3.003, 2.553; P=0.01, 0.019). Conclusion: ADHF patients having a dismal prognosis in the short term have a higher ALBI score and lower serum Ang-1-7 levels, which are related to a decline in cardiac function.
Related Topics
- Type
- article
- Landing Page
- https://doi.org/10.5937/jomb0-61358
- OA Status
- diamond
- OpenAlex ID
- https://openalex.org/W4416848220
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4416848220Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5937/jomb0-61358Digital Object Identifier
- Title
-
Correlation risk analysis of serum Ang1-7 levels, ALBI scores and cardiac function in patients with heart failureWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-29Full publication date if available
- Authors
-
Jianhua Shen, Junyang Chen, Yiyong Liu, Mingchuan ZhangList of authors in order
- Landing page
-
https://doi.org/10.5937/jomb0-61358Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5937/jomb0-61358Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4416848220 |
|---|---|
| doi | https://doi.org/10.5937/jomb0-61358 |
| ids.doi | https://doi.org/10.5937/jomb0-61358 |
| ids.openalex | https://openalex.org/W4416848220 |
| fwci | |
| type | article |
| title | Correlation risk analysis of serum Ang1-7 levels, ALBI scores and cardiac function in patients with heart failure |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| is_xpac | False |
| apc_list.value | 58000 |
| apc_list.currency | RSD |
| apc_list.value_usd | |
| apc_paid | |
| language | |
| locations[0].id | doi:10.5937/jomb0-61358 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S142815329 |
| locations[0].source.issn | 1452-8258, 1452-8266 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1452-8258 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Journal of Medical Biochemistry |
| locations[0].source.host_organization | https://openalex.org/P4310313990 |
| locations[0].source.host_organization_name | De Gruyter |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310313990 |
| locations[0].source.host_organization_lineage_names | De Gruyter |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Medical Biochemistry |
| locations[0].landing_page_url | https://doi.org/10.5937/jomb0-61358 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5051396251 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2013-325X |
| authorships[0].author.display_name | Jianhua Shen |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210137355 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Cardiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University |
| authorships[0].institutions[0].id | https://openalex.org/I4210137355 |
| authorships[0].institutions[0].ror | https://ror.org/04gz17b59 |
| authorships[0].institutions[0].type | healthcare |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210137355 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Northern Jiangsu People's Hospital |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jianhua Shen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Cardiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University |
| authorships[1].author.id | https://openalex.org/A5100713117 |
| authorships[1].author.orcid | https://orcid.org/0009-0002-4724-1090 |
| authorships[1].author.display_name | Junyang Chen |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I182386381 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Cardiology, Zunyi Medical University |
| authorships[1].institutions[0].id | https://openalex.org/I182386381 |
| authorships[1].institutions[0].ror | https://ror.org/00g5b0g93 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I182386381 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Zunyi Medical University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Junyang Chen |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Cardiology, Zunyi Medical University |
| authorships[2].author.id | https://openalex.org/A5001195635 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5112-2871 |
| authorships[2].author.display_name | Yiyong Liu |
| authorships[2].countries | CN, GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1302978242, https://openalex.org/I200296433 |
| authorships[2].affiliations[0].raw_affiliation_string | Fuwai Hospital, Chinese Academy of Medical Sciences |
| authorships[2].institutions[0].id | https://openalex.org/I200296433 |
| authorships[2].institutions[0].ror | https://ror.org/02drdmm93 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I200296433 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Chinese Academy of Medical Sciences & Peking Union Medical College |
| authorships[2].institutions[1].id | https://openalex.org/I1302978242 |
| authorships[2].institutions[1].ror | https://ror.org/00c489v88 |
| authorships[2].institutions[1].type | nonprofit |
| authorships[2].institutions[1].lineage | https://openalex.org/I1302978242 |
| authorships[2].institutions[1].country_code | GB |
| authorships[2].institutions[1].display_name | Academy of Medical Sciences |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yiyong Liu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Fuwai Hospital, Chinese Academy of Medical Sciences |
| authorships[3].author.id | https://openalex.org/A5050498157 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1589-2737 |
| authorships[3].author.display_name | Mingchuan Zhang |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Cardiovascular Medicine, The People's Hospital of Shuangqiao Economic-Technological Development Zone, Chongqing |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Mingchuan Zhang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Cardiovascular Medicine, The People's Hospital of Shuangqiao Economic-Technological Development Zone, Chongqing |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5937/jomb0-61358 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-12-01T00:00:00 |
| display_name | Correlation risk analysis of serum Ang1-7 levels, ALBI scores and cardiac function in patients with heart failure |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-01T21:07:22.586516 |
| primary_topic | |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5937/jomb0-61358 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S142815329 |
| best_oa_location.source.issn | 1452-8258, 1452-8266 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1452-8258 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Journal of Medical Biochemistry |
| best_oa_location.source.host_organization | https://openalex.org/P4310313990 |
| best_oa_location.source.host_organization_name | De Gruyter |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310313990 |
| best_oa_location.source.host_organization_lineage_names | De Gruyter |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Medical Biochemistry |
| best_oa_location.landing_page_url | https://doi.org/10.5937/jomb0-61358 |
| primary_location.id | doi:10.5937/jomb0-61358 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S142815329 |
| primary_location.source.issn | 1452-8258, 1452-8266 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1452-8258 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Journal of Medical Biochemistry |
| primary_location.source.host_organization | https://openalex.org/P4310313990 |
| primary_location.source.host_organization_name | De Gruyter |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310313990 |
| primary_location.source.host_organization_lineage_names | De Gruyter |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Medical Biochemistry |
| primary_location.landing_page_url | https://doi.org/10.5937/jomb0-61358 |
| publication_date | 2025-11-29 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.1 | 198 |
| abstract_inverted_index.A | 30, 271 |
| abstract_inverted_index.a | 178, 207, 214, 220, 224, 233, 248, 256, 265, 320, 372, 380, 393 |
| abstract_inverted_index.54 | 204 |
| abstract_inverted_index.73 | 211 |
| abstract_inverted_index.79 | 59 |
| abstract_inverted_index.To | 1, 114, 133 |
| abstract_inverted_index.at | 66 |
| abstract_inverted_index.by | 324, 342 |
| abstract_inverted_index.in | 21, 125, 162, 289, 305, 375, 395 |
| abstract_inverted_index.of | 32, 58, 81, 96, 141, 159, 244 |
| abstract_inverted_index.on | 93 |
| abstract_inverted_index.to | 38, 44, 202, 392 |
| abstract_inverted_index.up | 57 |
| abstract_inverted_index.128 | 33 |
| abstract_inverted_index.AUC | 340 |
| abstract_inverted_index.BNP | 280 |
| abstract_inverted_index.CI: | 335, 352, 356 |
| abstract_inverted_index.IV, | 277 |
| abstract_inverted_index.LAD | 260 |
| abstract_inverted_index.ROC | 171 |
| abstract_inverted_index.The | 77, 174, 217, 252, 310 |
| abstract_inverted_index.all | 82 |
| abstract_inverted_index.and | 11, 15, 18, 51, 87, 100, 122, 129, 187, 210, 236, 261, 264, 278, 346, 358, 384 |
| abstract_inverted_index.are | 282, 298, 390 |
| abstract_inverted_index.bad | 321 |
| abstract_inverted_index.for | 108, 154, 285, 301, 318 |
| abstract_inverted_index.had | 63, 177, 206, 213, 223, 255 |
| abstract_inverted_index.our | 39, 67 |
| abstract_inverted_index.six | 109 |
| abstract_inverted_index.the | 3, 6, 48, 52, 73, 88, 94, 97, 116, 135, 138, 151, 157, 165, 184, 195, 230, 237, 245, 315, 329, 339, 343, 359, 376 |
| abstract_inverted_index.was | 55, 91, 147, 168, 191, 200, 240, 332 |
| abstract_inverted_index.who | 62 |
| abstract_inverted_index.(95% | 334, 351, 355 |
| abstract_inverted_index.2022 | 43 |
| abstract_inverted_index.2024 | 46 |
| abstract_inverted_index.ADHF | 36, 49, 105, 128, 142, 155, 175, 292, 308, 311, 369 |
| abstract_inverted_index.ALBI | 89, 123, 166, 189, 238, 253, 273, 330, 344, 382 |
| abstract_inverted_index.LVDd | 262 |
| abstract_inverted_index.LVEF | 269 |
| abstract_inverted_index.NYHA | 275 |
| abstract_inverted_index.This | 337 |
| abstract_inverted_index.When | 149 |
| abstract_inverted_index.area | 313 |
| abstract_inverted_index.from | 41 |
| abstract_inverted_index.good | 215, 234 |
| abstract_inverted_index.have | 379 |
| abstract_inverted_index.high | 272, 279, 295 |
| abstract_inverted_index.lost | 201 |
| abstract_inverted_index.made | 56 |
| abstract_inverted_index.poor | 208, 221, 286, 302 |
| abstract_inverted_index.risk | 283 |
| abstract_inverted_index.same | 74 |
| abstract_inverted_index.term | 378 |
| abstract_inverted_index.than | 183, 194, 229, 242 |
| abstract_inverted_index.that | 243 |
| abstract_inverted_index.time | 75 |
| abstract_inverted_index.were | 85, 106, 361 |
| abstract_inverted_index.with | 23, 35, 104, 127, 164, 219, 232, 247, 259, 268, 291, 307, 328 |
| abstract_inverted_index.(AUC) | 317 |
| abstract_inverted_index.0.819 | 354 |
| abstract_inverted_index.0.911 | 333 |
| abstract_inverted_index.1‒7 | 9 |
| abstract_inverted_index.Ang-7 | 348 |
| abstract_inverted_index.acute | 24 |
| abstract_inverted_index.alone | 349 |
| abstract_inverted_index.basis | 95 |
| abstract_inverted_index.curve | 316 |
| abstract_inverted_index.grade | 276 |
| abstract_inverted_index.group | 54, 176, 218, 231, 246 |
| abstract_inverted_index.heart | 26 |
| abstract_inverted_index.level | 182, 228, 281 |
| abstract_inverted_index.lower | 179, 225, 385 |
| abstract_inverted_index.score | 90, 167, 190, 239, 254, 331, 345, 383 |
| abstract_inverted_index.serum | 7, 78, 119, 160, 180, 226, 326, 347, 386 |
| abstract_inverted_index.short | 377 |
| abstract_inverted_index.their | 112, 188 |
| abstract_inverted_index.total | 31 |
| abstract_inverted_index.under | 314 |
| abstract_inverted_index.using | 170 |
| abstract_inverted_index.value | 158 |
| abstract_inverted_index.which | 389 |
| abstract_inverted_index.(ALBI) | 13 |
| abstract_inverted_index.2.553; | 365 |
| abstract_inverted_index.Ang1-7 | 79, 120, 181, 227, 296 |
| abstract_inverted_index.[0.814 | 350 |
| abstract_inverted_index.curve. | 172 |
| abstract_inverted_index.dismal | 373 |
| abstract_inverted_index.during | 72 |
| abstract_inverted_index.group, | 50, 186 |
| abstract_inverted_index.having | 371 |
| abstract_inverted_index.higher | 241, 381 |
| abstract_inverted_index.levels | 80, 121, 297 |
| abstract_inverted_index.months | 110 |
| abstract_inverted_index.score, | 274 |
| abstract_inverted_index.scores | 14, 124 |
| abstract_inverted_index.(ADHF). | 28 |
| abstract_inverted_index.0.019). | 367 |
| abstract_inverted_index.Ang-1-7 | 161, 327, 387 |
| abstract_inverted_index.October | 42, 45 |
| abstract_inverted_index.P=0.01, | 366 |
| abstract_inverted_index.albumin | 99 |
| abstract_inverted_index.analyze | 115 |
| abstract_inverted_index.between | 5, 118 |
| abstract_inverted_index.cardiac | 16, 130, 396 |
| abstract_inverted_index.control | 53, 185, 196 |
| abstract_inverted_index.decline | 394 |
| abstract_inverted_index.explore | 2 |
| abstract_inverted_index.factors | 136, 284, 300 |
| abstract_inverted_index.failure | 27 |
| abstract_inverted_index.greater | 192 |
| abstract_inverted_index.healthy | 60 |
| abstract_inverted_index.levels, | 388 |
| abstract_inverted_index.levels. | 102 |
| abstract_inverted_index.outlook | 153 |
| abstract_inverted_index.patient | 199 |
| abstract_inverted_index.period. | 76 |
| abstract_inverted_index.related | 391 |
| abstract_inverted_index.whereas | 294 |
| abstract_inverted_index.Methods: | 29 |
| abstract_inverted_index.Patients | 103 |
| abstract_inverted_index.Results: | 173 |
| abstract_inverted_index.admitted | 37 |
| abstract_inverted_index.baseline | 98 |
| abstract_inverted_index.composed | 47 |
| abstract_inverted_index.examined | 169 |
| abstract_inverted_index.exceeded | 338 |
| abstract_inverted_index.facility | 71 |
| abstract_inverted_index.function | 17, 131 |
| abstract_inverted_index.group's. | 197 |
| abstract_inverted_index.hospital | 40 |
| abstract_inverted_index.logistic | 145 |
| abstract_inverted_index.negative | 266 |
| abstract_inverted_index.patients | 22, 34, 126, 205, 212, 290, 306, 370 |
| abstract_inverted_index.physical | 64, 69 |
| abstract_inverted_index.positive | 257 |
| abstract_inverted_index.release. | 113 |
| abstract_inverted_index.research | 83 |
| abstract_inverted_index.subjects | 84 |
| abstract_inverted_index.(Z=3.003, | 364 |
| abstract_inverted_index.bilirubin | 101 |
| abstract_inverted_index.combining | 325 |
| abstract_inverted_index.detected, | 86 |
| abstract_inverted_index.employed. | 148 |
| abstract_inverted_index.estimated | 341 |
| abstract_inverted_index.favorable | 249 |
| abstract_inverted_index.following | 111 |
| abstract_inverted_index.function. | 397 |
| abstract_inverted_index.monitored | 107 |
| abstract_inverted_index.patients' | 312 |
| abstract_inverted_index.patients, | 143, 156 |
| abstract_inverted_index.prognosis | 20, 140, 222, 250, 288, 304, 323, 374 |
| abstract_inverted_index.(Ang1‒7) | 10 |
| abstract_inverted_index.Objective: | 0 |
| abstract_inverted_index.calculated | 92 |
| abstract_inverted_index.follow-up, | 203 |
| abstract_inverted_index.hospital's | 68 |
| abstract_inverted_index.prognosis, | 209, 235 |
| abstract_inverted_index.prognosis. | 216 |
| abstract_inverted_index.protective | 299 |
| abstract_inverted_index.regression | 146 |
| abstract_inverted_index.short-term | 19, 139, 152, 287, 303, 322 |
| abstract_inverted_index.volunteers | 61 |
| abstract_inverted_index.(P<0.05) | 193, 263 |
| abstract_inverted_index.Conclusion: | 368 |
| abstract_inverted_index.angiotensin | 8 |
| abstract_inverted_index.conjunction | 163 |
| abstract_inverted_index.correlation | 258, 267 |
| abstract_inverted_index.differences | 360 |
| abstract_inverted_index.examination | 70 |
| abstract_inverted_index.forecasting | 150, 319 |
| abstract_inverted_index.influencing | 137 |
| abstract_inverted_index.investigate | 134 |
| abstract_inverted_index.parameters, | 132 |
| abstract_inverted_index.significant | 363 |
| abstract_inverted_index.(P<0.05), | 293 |
| abstract_inverted_index.(P<0.05). | 251, 270, 309 |
| abstract_inverted_index.correlations | 117 |
| abstract_inverted_index.examinations | 65 |
| abstract_inverted_index.multivariate | 144 |
| abstract_inverted_index.decompensated | 25 |
| abstract_inverted_index.relationships | 4 |
| abstract_inverted_index.statistically | 362 |
| abstract_inverted_index.0.735–0.878), | 353 |
| abstract_inverted_index.0.848–0.954), | 336 |
| abstract_inverted_index.0.741–0.882)], | 357 |
| abstract_inverted_index.albumin‒bilirubin | 12 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile |