AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia

Yaqun DINGXiangtao HUANGYanni SUNJia WANGuixian WUShuangnian XU( )
Center for Hematology, First Affiliated Hospital, Army Medical University(Third Military Medical University), Chongqing, 400038, China
Show Author Information

Abstract

Objective

To explore the prognostic value of serum albumin(ALB)level at admission in de novo non-M3 acute myeloid leukemia(AML).

Methods

A retrospective cohort study was conducted on the medical records of newly diagnosed non-M3 AML patients admitted to our center from January 2012 to July 2019. They were divided into a normal ALB group(n=196)and a low ALB group(n=52)based on the optimal cut-off value of 30.4 g/L generated by the X-Tile software. The clinical data were compared between the 2 groups, such as gender, age, white blood cell(WBC)count, hemoglobin(HB)level, platelet(PLT)count, lactate dehydrogenase(LDH)level, French American British(FAB)type, percentage of bone marrow blasts(BM blasts), risk stratification of the European Leukemia Network(ELN), and treatment regimens. All patients were followed up for their survival status. Kaplan-Meier survival curve and Cox regression model were used to compare the survival between the 2 groups. A prediction model was constructed based on the results of multivariate Cox regression analysis. Calibration curve and receiver operating characteristic(ROC)curve were plotted to evaluate the model, and Harrell's concordance index(C-index)and decision curve analysis(DCA)were performed to evaluate the incremental value of ALB's prediction model.

Results

The low ALB group had a significantly lower complete response(CR)rate after induction chemotherapy(28.8% vs 62.8%, P<0.001)and a higher mortality rate(63.4% vs 30.6%, P<0.001)than the normal ALB group. Survival analysis found that the overall survival time(OS)and disease-free survival time(DFS)were significantly shorter in the low ALB group than the normal ALB group(P<0.001). Multivariate analysis showed that ALB was an independent predictor of OS in AML prognosis(HR=4.352, 95%CI: 2.760~6.863, P<0.001). The AUC value of the model constructed based on Cox analysis results was 0.800(95%CI: 0.734~0.867)and 0.890(95%CI: 0.795~0.984), respectively, for predicting 1-year and 3-year survival rate. The calibration curve performed well between predicted survival and actual survival. Compared with traditional risk stratification and the model without ALB factor, our model that included ALB had a higher C-index(0.564 vs 0.671 vs 0.730). DCA also showed its higher clinical benefits.

Conclusion

ALB is an independent predictor of prognosis in non-M3 AML patients, which can significantly improve the clinical predictive ability and the attendant benefits of survival prediction models.

CLC number: R446.112;R730.7;R733.71 Document code: A

References

[1]
ZUCKERMAN T, GANZEL C, TALLMAN M S, et al. How I treat hematologic emergencies in adults with acute leukemia[J]. Blood, 2012, 12010): 1993-2002. DOI: 10.1182/blood-2012-04-424440.
[2]
DE KOUCHKOVSKY I, ABDUL-HAY M. ‘Acute myeloid leukemia: a comprehensive review and 2016 update'[J]. Blood Cancer J, 2016, 67): e441. DOI: 10.1038/bcj.2016.50.
[3]
SHAH A, ANDERSSON T M L, RACHET B, et al. Survival and cure of acute myeloid leukaemia in England, 1971-2006: a population-based study[J]. Br J Haematol, 2013, 1624): 509-516. DOI: 10.1111/bjh.12425.
[4]
SOETERS P B, WOLFE R R, SHENKIN A. Hypoalbuminemia: pathogenesis and clinical significance[J]. J Parenter Enter Nutr, 2019, 432): 181-193. DOI: 10.1002/jpen.1451.
[5]
GUPTA D, LIS C G. Pretreatment serum albumin as a predictor of cancer survival: a systematic review of the epidemiological literature[J]. Nutr J, 2010, 9: 69. DOI: 10.1186/1475-2891-9-69.
[6]
YOON H S, SHU X O, SHIDAL C, et al. Associations of pre-diagnostic serum levels of total bilirubin and albumin with lung cancer risk: results from the southern community cohort study[J]. Front Oncol, 2022, 12: 895479. DOI: 10.3389/fonc.2022.895479.
[7]
BAIREY O, SHACHAM-ABULAFIA A, SHPILBERG O, et al. Serum albumin level at diagnosis of diffuse large B-cell lymphoma: an important simple prognostic factor[J]. Hematol Oncol, 2016, 344): 184-192. DOI: 10.1002/hon.2233.
[8]
CHRISTINA N M, TJAHYANTO T, LIE J G, et al. Hypoalbuminemia and colorectal cancer patients: any correlation?: a systematic review and meta-analysis[J]. Medicine, 2023, 1028): e32938. DOI: 10.1097/MD.0000000000032938.
[9]
VARDIMAN J W, THIELE J, ARBER D A, et al. The 2008 revision of the World Health Organization(WHO)classification of myeloid neoplasms and acute leukemia: rationale and important changes[J]. Blood, 2009, 1145): 937-951. DOI: 10.1182/blood-2009-03-209262.
[10]
MOLICA M, BRECCIA M, FOA R, et al. Maintenance therapy in AML: the past, the present and the future[J]. Am J Hematol, 2019, 9411): 1254-1265. DOI: 10.1002/ajh.25620.
[11]
SIMONS A, SHAFFER L G, HASTINGS R J. Cytogenetic nomenclature: changes in the ISCN 2013 compared to the 2009 edition[J]. Cytogenet Genome Res, 2013, 1411): 1-6. DOI: 10.1159/000353118.
[12]
DÖHNER H, WEI A H, APPELBAUM F R, et al. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN[J]. Blood, 2022, 14012): 1345-1377. DOI: 10.1182/blood.2022016867.
[13]
POLLYEA D A, BIXBY D, PERL A, et al. NCCN guidelines insights: acute myeloid leukemia, version 2.2021[J]. J Natl Compr Canc Netw, 2021, 191): 16-27. DOI: 10.6004/jnccn.2021.0002.
[14]
CAMP R L, DOLLED-FILHART M, RIMM D L. X-Tsile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization[J]. Clin Cancer Res, 2004, 1021): 7252-7259. DOI: 10.1158/1078-0432.CCR-04-0713.
[15]
SHORT N J, RYTTING M E, CORTES J E. Acute myeloid leukaemia[J]. Lancet, 2018, 39210147): 593-606. DOI: 10.1016/S0140-6736(18)31041-9.
[16]
LIERSCH R, MÜLLER-TIDOW C, BERDEL W E, et al. Prognostic factors for acute myeloid leukaemia in adults—biological significance and clinical use[J]. Br J Haematol, 2014, 1651): 17-38. DOI: 10.1111/bjh.12750.
[17]
SEVINDIK O G, GUC Z, KAHRAMAN S, et al. Hypoalbuminemia is a surrogate biomarker of poor prognosis in myelodysplastic syndrome even when adjusting for comorbidities[J]. Leuk Lymphoma, 2015, 569): 2552-2555. DOI: 10.3109/10428194.2015.1014362.
[18]
YOKUŞ O, SUNGER E, CINLI T A, et al. Serum albumin and ferritin levels: a practical indicator of prognosis in acute myeloid leukemia over 50 years of age?[J]. Am J Blood Res, 2022, 123): 97-104.
[19]
SHI Y N, CAI J J, SHI C X, et al. Low serum albumin is associated with poor prognosis in patients receiving peritoneal dialysis treatment[J]. J Healthc Eng, 2022, 2022: 1-6. DOI: 10.1155/2022/7660806.
[20]
MARGARSON M P, SONI N. Serum albumin: touchstone or totem?[J]. Anaesthesia, 1998, 538): 789-803. DOI: 10.1046/j.1365-2044.1998.00438.x.
[21]
KIM S, MCCLAVE S A, MARTINDALE R G, et al. Hypoalbuminemia and clinical outcomes: what is the mechanism behind the relationship?[J]. Am Surg, 2017, 8311): 1220-1227. DOI: 10.1177/000313481708301123.
[22]
MCQUILTEN Z K, BUSIJA L, SEYMOUR J F, et al. Hemoglobin is a key determinant of quality of life before and during azacitidine-based therapy for myelodysplasia and low blast count acute myeloid leukemia[J]. Leuk Lymphoma, 2022, 633): 676-683. DOI: 10.1080/10428194.2021.2012664.
Journal of Army Medical University
Pages 2106-2112
Cite this article:
DING Y, HUANG X, SUN Y, et al. Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia. Journal of Army Medical University, 2023, 45(20): 2106-2112. https://doi.org/10.16016/j.2097-0927.202304067

49

Views

0

Downloads

0

Crossref

0

Scopus

0

CSCD

Altmetrics

Received: 14 April 2023
Revised: 14 June 2023
Published: 30 October 2023
© 2023 Journal of Army Medical University
Return