Analysis of Risk Factors for Chemotherapy Induced Myelosuppression and Construction of Prediction Models for Myelosuppression Based on Logistic Regression Analysis in Cancer Patients

Dongyan LIU; Yan LIU; Zhiming REN; Feng WANG; Yong WANG

doi:10.12259/j.issn.2095-610X.S20250808

Article Contents

Article Navigation > Journal of Kunming Medical University > 2025 > Corrected proof

Dongyan LIU, Yan LIU, Zhiming REN, Feng WANG, Yong WANG. Analysis of Risk Factors for Chemotherapy Induced Myelosuppression and Construction of Prediction Models for Myelosuppression Based on Logistic Regression Analysis in Cancer Patients[J]. Journal of Kunming Medical University. doi: 10.12259/j.issn.2095-610X.S20250808

Citation:

Dongyan LIU, Yan LIU, Zhiming REN, Feng WANG, Yong WANG. Analysis of Risk Factors for Chemotherapy Induced Myelosuppression and Construction of Prediction Models for Myelosuppression Based on Logistic Regression Analysis in Cancer Patients[J]. Journal of Kunming Medical University. doi: 10.12259/j.issn.2095-610X.S20250808

Citation:

Dongyan LIU, Yan LIU, Zhiming REN, Feng WANG, Yong WANG. Analysis of Risk Factors for Chemotherapy Induced Myelosuppression and Construction of Prediction Models for Myelosuppression Based on Logistic Regression Analysis in Cancer Patients[J]. Journal of Kunming Medical University. doi: 10.12259/j.issn.2095-610X.S20250808

PDF( 651 KB)

Analysis of Risk Factors for Chemotherapy Induced Myelosuppression and Construction of Prediction Models for Myelosuppression Based on Logistic Regression Analysis in Cancer Patients

doi: 10.12259/j.issn.2095-610X.S20250808

Department of Radiation oncology，The First Affiliated Hospital of Kunming Medical University，Kunming Yunnan 650032，China

Received Date: 2024-10-19
Available Online: 2025-04-05

Abstract

Abstract

Objective To study the risk factors of myelosuppression after the chemotherapy in patients with malignant tumors, and to construct a Logistic regression prediction model based on the risk factors. Methods Clinical information of 80 chemotherapy patients from the First Affiliated Hospital of Kunming Medical University during 2021.01-2022.12 was anonymously collected, and the obtained clinical data were used for Logistic regression univariate analysis with the use of SPSS19.0 software to identify the risk factors related to chemotherapy induced myelosuppression. The risk factors were tested in Logistic multi-factor regression analysis and the Logistic regression analysis prediction models were constructed. In addition, clinical information of 40 patients was collected to test the prediction model, then the ROC curve, AUC value and Youden index were obtained. Results Univariate Logistic regression analysis showed that age, bone metastases, alanine aminotransferase （ALT）, aspartate aminotransferase （AST）, serum creatinine clearance （CCr）, serum creatinine （Cr）, concurrent radiotherapy （CRT）, concurrent immunotherapy （IO）, and the recent surgery were associated with the bone marrow suppression after the chemotherapy （P < 0.05）. The AUC values of the ROC curves of the corresponding models were 0.745, 0.755 and 0.791, respectively, indicating that the risk of bone marrow suppression was higher when the predictive model p-value was greater than the above values. The Youden indices of the corresponding models were 0.677, 0.713 and 0.769, respectively, indicating that the prediction performance of the model was better. Conclusion Age, serum creatinine clearance, liver function, the recent surgery, bone metastasis, concurrent radiotherapy/immunotherapy, and serum creatinine clearance are related to the incidence of chemotherapy induced myelosuppression. When p≥0.745 （leukocytes）, p≥0.755 （platelets）, and p≥0.791 （anemia） through the predictive model calculations, the risk of leukocyte, platelets, and the anemia-related myelosuppression are significantly increased （≥95%）, and appropriate preventive measures are recommended.
- Chemotherapy,
- Myelosuppression,
- High risk factors,
- Prediction model,
- Logistic regression analysisy

FullText(HTML)

References(13)

References

[1]	白建红. 不同时机营养干预对Ⅳ度骨髓抑制肿瘤患者的影响分析[J]. 临床研究,2019,27(4):19-20.
[2]	Zhang Q L,Wu T T,Han Y,et al. Chemotherapy-induced myelosuppression in esophageal cancer patients: Risks and suggestions for its management[J]. Curr Med Sci,2022,42(3):530-537. doi: 10.1007/s11596-022-2587-3
[3]	Boccia R,Glaspy J,Crawford J,Aapro M. Chemotherapy-induced neutropenia and febrile neutropenia in the US: A beast of burden that needs to be tamed?[J]Oncologist,2022,27(1): 625-636.
[4]	高艳,江启安,李敬国,等. 实体瘤化疗引起Ⅳ度骨髓抑制的临床分析[J]. 现代肿瘤医学,2019,27(1):111-116
[5]	张龙. 乳腺癌术后化疗诱发重度骨髓抑制相关影响因素探讨[J]. 中外医研究,2014,12(26):42-43.
[6]	郭艳霞,于成宝,刘秋菊. 化疗后骨髓抑制预测性模型的建立[J]. 吉林医学,2005,12(26):1257-1258.
[7]	Wang X F,Huang W F,Nie J,et al. Toxicity of chemotherapy regimens in advanced and metastatic pancreatic cancer therapy: A network meta-analysis[J]. J Cell Biochem,2018,119(7):5082-5103. doi: 10.1002/jcb.26266
[8]	朱蓓琳,骨肿瘤化疗致骨髓抑制的风险因素分析及药学监护模式探索[D]. 上海: 上海交通大学,2020.
[9]	Li R,Zhang T,Yan S_H,et al. Chinese medicine combined with adjuvant chemotherapy for improving myelosuppression in colorectal cancer patients: A systematic review and network meta-analysis[J]. Chin J Integr Med,2024,30(7):643-652. doi: 10.1007/s11655-023-3558-7
[10]	中国临床肿瘤学会指南工作委员会. 中国临床肿瘤学会(CSCO)肿瘤化疗相关中性粒细胞减少症规范化管理指南(2021)[J]. 临床肿瘤学杂志,2021,26(7):638-648. doi: 10.3969/j.issn.1009-0460.2021.07.011
[11]	Friberg L E,Henningsson A,Maas H,et al. Model of chemotherapy-induced myelosuppression with parameter consistency across drugs[J]. J Clin Oncol,2002,20(24):4713-4721. doi: 10.1200/JCO.2002.02.140
[12]	Li M,Wang Q,Lu P,et al. Development of a machine learning-based prediction model for chemotherapy-induced myelosuppression in children with wilms' tumor[J]. Cancers(Basel),2023,15(4):1-19.
[13]	Dong Y,Hu C,Liu J,et al. Construction of an auxiliary scoring model for myelosuppression in patients with lung cancer chemotherapy based on random forest algorithm[J]. Am J Transl Res,2023,15(6):4155-4163.

Relative Articles(20)

Relative Articles

[1]	Junqiang WANG, Ying CHEN, Fengchen GAO, Wenxiu ZHAO, Shuxuan CAO, Yixi LI, Limei HE, Zexing YANG. The Construction of A Predictive Model for Clinical Pregnancy Outcome in Frozen-thawed Embryo Transfer Cycles in Women with Advanced Maternal Age. Journal of Kunming Medical University,
[2]	Yuanzhen WANG, Hongyan WEI, Renhai TIAN, Yongzhen Chen, Danqing XU, Yingyuan ZHANG, Lixian CHANG, Chunyun LIU, Li LIU. Establishment and Evaluation of a Risk Prediction Model for Chronic Liver Failure Complicated by Primary Hepatocellular Carcinoma Before Intervention. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250321
[3]	Jun DENG, Jun WANG, Xi WANG, Change GAO, Xiao CHEN, Mingxia SHI. Prediction Model and Its Value of IrAEs Based on Peripheral Blood Markers. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250408
[4]	Chunyan LIU, Bingqing CHANG, Chao LI, Xin REN, Xiaoqin LIU. Correlations between CD4⁺CD25⁺Treg，sCD30 and Clinical Characteristics of Lymphoma and Their Value in Predicting Infection after Chemotherapy. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250121
[5]	Taishan WANG, Guiyang JIA, Guoyue LIU, Erqin SONG, Guizhen YIN. Research Progress on Early Risk Prediction Model of Acute Respiratory Distress Syndrome. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250517
[6]	Huijuan ZENG, Bo TIAN, Hongling YUAN, Jie HE, Guanxi LI, Guojia RU, Min XU, Dong ZHAN. Predictive Modeling of Chronic Kidney Disease with Hypertension or Diabetes Based on Machine Learning Algorithms. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240315
[7]	Caini ZHANG, Ya LI. A Meta-analysis of the Efficacy and Safety of Camrelizumab Combined with Chemotherapy in the Treatment of Non-small Cell Lung Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240610
[8]	Yanmei JI, Wenjun LI, Qingyun LI, Ni GUO, Ni MENG, Dan ZHOU, Qiuyu LI, Xingfang JIN. The Analysis of Related Factors of Cognitive Impairment after the Acute Ischemic Stroke and Construction of Nomogram Model. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240511
[9]	Ji JIA, Siming TAO. Development of A Plasma Osmolality Prediction Model for the Risk of In-hospital Death in Critically Ill Patients with Acute ST-segment Elevation Myocardial Infarction. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20221212
[10]	Min ZHOU, Zhihui MA, Jiayan LI, Jianhua FAN, Ling LIN, Tingying YU, Huifang ZHANG, Li LIU. Predictive Model of Risk Factors for the Recurrence of Liver Cirrhosis with Pleural Effusion. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20220524
[11]	Hong WANG, Dexing YANG, Qiang WANG, Weiyu ZHOU, Jiefu TANG, Zhenfang WANG, Kai FU, Shengzhe LIU, Rong LIU. Risk Factors Analysis and Prediction Model Establishment of Refeeding Syndrome in ICU Patients with Sepsis. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20221102
[12]	Guimei ZHANG, Shu CHEN, Yunhua SONG, Yang WU, Hongyuan ZHOU. Risk Factors of Readmission in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease and Establishment of Risk Prediction Model. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20220830
[13]	Xing LIU, Yuan LIU, Xiang-fang LIU, Jie CHEN, Yong-gang CHEN, Hui SUN, Ling MA. Adverse Reactions Analysis and Prediction Model of Cefoperazone Sodium Sulbactam Sodium. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20210622
[14]	Ling ZHOU, Feng-di HU, Rong LI, Ye-dan LIAO, Zheng-qin GENG, Jia-dai TANG, Xue-qi ZHANG, Lin XIE, Zuo-zhang YANG. A Clinical Scoring System Predicting the Osteosarcoma Chemotherapy Drug Resistance. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20210144
[15]	Jing-rong DAI, Jie LI, Xu HE, Yang LI, Yan LI. Risk Factors Analysis and Risk Prediction Model Construction of Depression in Inpatients of Geriatrics Department of a Hospital in Yunnan. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20211104
[16]	Zhang Xi Li , Meng Wen , Li Qing Ye , Wang Guo Liang , Li Yan Lin , Zhang Xiao Mei . Prevention of Postherpetic Neuralgia by Nerve Block and Analysis of Risk Factors. Journal of Kunming Medical University,
[17]	Wang Yuan Yuan . . Journal of Kunming Medical University,
[18]	Rao Yan . . Journal of Kunming Medical University,
[19]	Li Chong Yang . . Journal of Kunming Medical University,
[20]	Ling Kai Jian . . Journal of Kunming Medical University,