Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia
Clinical Medicine|更新时间:2026-01-09
|
Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia
Journal of Army Medical UniversityVol. 45, Issue 20, Pages: 2106-2112(2023)
作者机构:
400038 重庆,陆军军医大学(第三军医大学)第一附属医院血液病中心
作者简介:
基金信息:
the Genernal Program of National Natural Science of China(82370174);the National Natural Science Foundation of China(82000169);Chongqing Natural Science Foundation of China(cstc2020jcyj-msxmX1058);Chongqing Science and Health Joint Project(2018QNXM045)
Yaqun DING, Xiangtao HUANG, Yanni SUN, et al. Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia[J]. Journal of Army Medical University, 2023, 45(20): 2106-2112.
DOI:
Yaqun DING, Xiangtao HUANG, Yanni SUN, et al. Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia[J]. Journal of Army Medical University, 2023, 45(20): 2106-2112. DOI: 10.16016/j.2097-0927.202304067.
Prognostic value of albumin in patients with de novo non-M3 acute myeloid leukemia
To explore the prognostic value of serum albumin (ALB) level at admission in
de novo
non-M3 acute myeloid leukemia (AML).
Methods
2
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 t
he 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
2
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
2
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.
关键词
Keywords
references
ZUCKERMAN T, GANZEL C, TALLMAN M S, et al . How I treat hematologic emergencies in adults with acute leukemia[J ] . Blood, 2012, 120(10): 1993-2002. DOI: 10.1182/blood-2012-04-424440.
DE KOUCHKOVSKY I, ABDUL-HAY M. 'Acute myeloidleukemia: a comprehensive review and 2016 update'[J]. Blood Cancer J, 2016, 6(7): e441. DOI: 10.1038/bcj.2016.50.
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, 162(4): 509-516. DOI: 10.1111/bjh.12425.
SOETERS P B, WOLFE R R,SHENKIN A. Hypoalbuminemia: pathogenesis and clinical significance[J]. J Parenter Enter Nutr, 2019, 43(2): 181-193. DOI: 10.1002/jpen.1451.
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.
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.
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, 34(4): 184-192. DOI: 10.1002/hon.2233.
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, 102(8): e32938. DOI: 10.1097/MD.0000000000032938.
VARDIMAN J W, THIELE J, ARBER D A, et al . The 2008 revision of the World Health Organiza tion (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes[J ] . Blood, 2009, 114(5): 937-951. DOI: 10.1182/blood-2009-03-209262.
MOLICA M, BRECCIA M, FOA R, et al . Maintenance therapy in AML: the past, the present and the future[J ] . Am J Hematol, 2019, 94(11): 1254-1265. DOI: 10.1002/ajh.25620.
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, 141(1): 1-6. DOI: 10.1159/000353118.
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, 140(12): 1345-1377. DOI: 10.1182/blood.2022016867.
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, 19(1): 16-27. DOI: 10.6004/jnccn.2021.0002.
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, 10(21): 7252-7259. DOI: 10.1158/1078-0432.CCR-04-0713.
SHORT N J, RYTTING M E, CORTES J E. Acute myeloid leukaemia[J]. Lancet, 2018, 392(10147): 593-606. DOI: 10.1016/S0140-6736(18)31041-9.
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, 165(1): 17-38. DOI: 10.1111/bjh.12750.
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, 56(9): 2552-2555. DOI: 10.3109/10428194.2015.1014362.
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, 12(3): 97-104.
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.
MARGARSON M P, SONI N. Serum albumin: touchstone or totem?[J]. Anaesthesia, 1998, 53(8): 789-803. DOI: 10.1046/j.1365-2044.1998.00438.x.
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, 83(11): 1220-1227. DOI: 10.1177/000313481708301123.
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, 63(3): 676-683. DOI: 10.1080/10428194.2021.2012664.
Expression of long non-coding RNA SFTA1P in lung adenocarcinoma and its predictive value for prognosis
A novel estrogen receptor expression stratification (low/moderate/high) based on Chinese population provides more accurate prognosis prediction for HR+/HER2- early breast cancer patients
Immunosuppressive microenvironment of TGIF1-overexpressing gastric cancers and its clinical significance
Related Author
DING Yaqun
HUANG Xiangtao
SUN Yanni
WAN Jia
WU Guixian
XU Shuangnian
Menglei CHEN
Shuai YUAN
Related Institution
Center for Hematology,First Affiliated Hospital,Army Medical University(Third Military Medical University)
Department of Epidemiology, School of Public Health, Guizhou Medical University
Department of Epidemiology, Faculty of Military Preventive Medicine, Army Medical University (Third Military Medical University)
Department of Thoracic Surgery, Second Affiliated Hospital, Army Medical University (Third Military Medical University)
Institute of Respiratory Diseases, Key Laboratory of Respiratory Diseases, Second Affiliated Hospital, Army Medical University (Third Military Medical University)