Association between estimated plasma volume status and the risk of 30-day mortality in patients with severe acute pancreatitis: a retrospective study based on the MIMIC-IV database Article Swipe
Haibo Zhang
,
Jiebin Li
,
Dawei Wang
,
Jing Wang
,
Lijun Duan
,
Jing Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1186/s12876-025-03895-y
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1186/s12876-025-03895-y
Background Assessing plasma volume is important in the management and treatment of severe acute pancreatitis (SAP). Although it is an easy and rapid method for estimating the plasma volume, the association between estimated plasma volume status (ePVS) and the prognosis of SAP remains elusive. This study was aimed at assessing the relationship of ePVS with the risk of 30-day all-cause mortality (ACM) in SAP patients. Methods This study collected clinical data on SAP patients in the ICU from the MIMIC-IV database. LASSO regression was used to screen for relevant covariates. The nonlinear relationship of ePVS with the risk of 30-day ACM was assessed utilizing the restricted cubic spline (RCS) analysis, and then their association was assessed by a multivariate Cox regression model. 30-day survival across different groups was compared by a Kaplan-Meier survival curve. Results This study included 1036 patients, with a 30-day survival rate of 86.8%. They were assigned to four groups by quartiles of ePVS. The Kaplan-Meier survival curve showed that the high ePVS group was at a higher risk of 30-day ACM ( p = 0.007). Multivariate Cox regression analysis showed a positive association of ePVS as a continuous variable with the risk of 30-day ACM (HR = 1.09, 1.01–1.18, p = 0.035). The risk of 30-day ACM was higher in the Q4 group vs. the Q1 group with ePVS as a categorical variable (HR = 1.70, 95% CI: 1.03–2.80, p = 0.039). RCS analysis showed a linear relationship of ePVS with the risk of 30-day ACM ( p = 0.606), with a cut-off value of 6.23 dL/g. Subgroup analysis revealed significant associations between the two within specific subgroups, but ePVS did not interact with any of the subgroup variables. Conclusion Our findings showed a significant association of high ePVS values with an increased risk of 30-day ACM. This study helps to identify high-risk patients early and guide the development of personalized treatment strategies.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12876-025-03895-y
- https://bmcgastroenterol.biomedcentral.com/counter/pdf/10.1186/s12876-025-03895-y
- OA Status
- gold
- Cited By
- 1
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409945565
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409945565Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12876-025-03895-yDigital Object Identifier
- Title
-
Association between estimated plasma volume status and the risk of 30-day mortality in patients with severe acute pancreatitis: a retrospective study based on the MIMIC-IV databaseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-29Full publication date if available
- Authors
-
Haibo Zhang, Jiebin Li, Dawei Wang, Jing Wang, Lijun Duan, Jing ZhangList of authors in order
- Landing page
-
https://doi.org/10.1186/s12876-025-03895-yPublisher landing page
- PDF URL
-
https://bmcgastroenterol.biomedcentral.com/counter/pdf/10.1186/s12876-025-03895-yDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://bmcgastroenterol.biomedcentral.com/counter/pdf/10.1186/s12876-025-03895-yDirect OA link when available
- Concepts
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Medicine, Proportional hazards model, Internal medicine, Quartile, Multivariate statistics, Survival analysis, Multivariate analysis, Statistics, Confidence interval, MathematicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.analysis, | 110 |
| abstract_inverted_index.assessing | 50 |
| abstract_inverted_index.collected | 69 |
| abstract_inverted_index.database. | 81 |
| abstract_inverted_index.different | 126 |
| abstract_inverted_index.estimated | 33 |
| abstract_inverted_index.high-risk | 307 |
| abstract_inverted_index.important | 6 |
| abstract_inverted_index.increased | 297 |
| abstract_inverted_index.mortality | 61 |
| abstract_inverted_index.nonlinear | 92 |
| abstract_inverted_index.patients, | 140 |
| abstract_inverted_index.patients. | 65 |
| abstract_inverted_index.prognosis | 40 |
| abstract_inverted_index.quartiles | 155 |
| abstract_inverted_index.treatment | 11, 316 |
| abstract_inverted_index.utilizing | 104 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Conclusion | 284 |
| abstract_inverted_index.continuous | 192 |
| abstract_inverted_index.estimating | 26 |
| abstract_inverted_index.management | 9 |
| abstract_inverted_index.regression | 83, 121, 182 |
| abstract_inverted_index.restricted | 106 |
| abstract_inverted_index.subgroups, | 272 |
| abstract_inverted_index.variables. | 283 |
| abstract_inverted_index.association | 31, 114, 187, 290 |
| abstract_inverted_index.categorical | 226 |
| abstract_inverted_index.covariates. | 90 |
| abstract_inverted_index.development | 313 |
| abstract_inverted_index.significant | 265, 289 |
| abstract_inverted_index.strategies. | 317 |
| abstract_inverted_index.1.01–1.18, | 203 |
| abstract_inverted_index.1.03–2.80, | 233 |
| abstract_inverted_index.Kaplan-Meier | 132, 159 |
| abstract_inverted_index.Multivariate | 180 |
| abstract_inverted_index.associations | 266 |
| abstract_inverted_index.multivariate | 119 |
| abstract_inverted_index.pancreatitis | 15 |
| abstract_inverted_index.personalized | 315 |
| abstract_inverted_index.relationship | 52, 93, 242 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.90597404 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |