The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Hypoalbuminemia predicts the outcome of COVID‐19 independent of age and co‐morbidity
Open accessAbstract
The coronavirus disease 2019 (COVID‐19) has evolved into a pandemic rapidly. Most of the literature show that the elevated liver enzymes in COVID‐19 are of little clinical significance. Lower albumin level is seen in severe COVID‐19 and is not parallel to the changes in alanine aminotransferase and aspartate aminotransferase levels. We aimed to explore the impact of hypoalbuminemia in COVID‐19. This retrospective cohort study included adult patients with confirmed COVID‐19. The relationship between hypoalbuminemia and death was studied using binary logistic analysis. A total of 299 adult patients were included, 160 (53.5%) were males and the average age was 53.4 ± 16.7 years. The median time from the onset of illness to admission was 3 days (interquartile ranges, 2‐5). Approximately one‐third of the patients had comorbidities. Hypoalbuminemia (<35 g/L) was found in 106 (35.5%) patients. The difference in albumin was considerable between survivors and non‐survivors (37.6 ± 6.2 vs 30.5 ± 4.0, P < .001). Serum albumin level was inversely correlated to white blood cell (r = –.149, P = .01) and neutrophil to lymphocyte ratio (r = −.298, P < .001). Multivariate analysis showed the presence of comorbidities (OR, 6.816; 95% CI, 1.361‐34.133), lymphopenia (OR, 13.130; 95% CI, 1.632‐105.658) and hypoalbuminemia (OR, 6.394; 95% CI, 1.315‐31.092) were independent predictive factors for mortality. In conclusion, hypoalbuminemia is associated with the outcome of COVID‐19. The potential therapeutic value of albumin infusion in COVID‐19 should be further explored at the earliest.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
Chen, T., Wu, D., Chen, H., Yan, W., Yang, D., Chen, G., Ma, K., Xu, D., Yu, H., Wang, H., et al. (2020) · BMJ · doi:10.1136/bmj.m1091 · Cited by 3,903
Self-citationHypoalbuminemia: Pathogenesis and Clinical Significance
Soeters, P. B., Wolfe, R. R., & Shenkin, A. (2019) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1451 · Cited by 1,448 · cited 3×
“Inflammation has been shown to cause the escape of serum albumin into interstitial space due to increased capillary permeability, and eventually lead to increased volume distribution of albumin.(14) Thus, our study strongly implies that hypoalbuminemia might due to the systemic inflammation in COVID‐19.”
Background
Cited by
Predictors of COVID‐19 severity: A literature review
Gallo Marin, B., Aghagoli, G., Lavine, K., Yang, L., Siff, E. J., Chiang, S. S., Salazar‐Mather, T. P., Dumenco, L., Savaria, M. C., Aung, S. N., et al. (2021) · Reviews in Medical Virology · doi:10.1002/rmv.2146 · Cited by 819
Salman, E., Çelikbilek, N., Aydoğan, S., Özdem, B., Gökay, S., Kırca, F., Toyran, A., Bilici Salman, R., & Dinç, B. (2021) · Mikrobiyoloji Bulteni · doi:10.5578/mb.20219706 · Cited by 15
Metadata
- Authors
- Huang, J., Cheng, A., Kumar, R., Fang, Y., Chen, G., Zhu, Y., & Lin, S.
- Venue
- Journal of Medical Virology
- Publisher
- Wiley
- Published
- 2020-05-25
- Volume
- 92
- Issue
- 10
- Pages
- 2152-2158
- ISSN
- 0146-6615 (ISSN-L)
- 1096-9071
- OpenAlex
- W3024065428
- Cited by
- 335
- References
- 4
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hypoalbuminemia predicts the outcome of COVID‐19 independent of age and co‐morbidity. https://app.cochat.ai/papers/10.1002/jmv.26003
- The paper
- Huang, J., Cheng, A., Kumar, R., Fang, Y., Chen, G., Zhu, Y., & Lin, S. (2020). Hypoalbuminemia predicts the outcome of COVID‐19 independent of age and co‐morbidity. Journal of Medical Virology. https://doi.org/10.1002/jmv.26003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.