Clinical characteristics and risk factors of infection in initially treated patients with multiple myeloma during the induction period

被引:0
|
作者
Pan, Qianying [1 ,2 ]
Huang, Beihui [3 ]
Liu, Junru [3 ]
Chen, Meilan [3 ]
Gu, Jingli [3 ]
Kuang, Lifen [3 ]
Li, Xiaozhe [3 ]
Li, Juan [3 ]
机构
[1] Zhengzhou Univ, Dept Hematol, Affiliated Canc Hosp, Zhengzhou, Henan, Peoples R China
[2] Henan Canc Hosp, Zhengzhou, Henan, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Hematol, 58 Zhongshan Er Rd, Guangzhou 510080, Guangdong, Peoples R China
关键词
Infection; Multiple myeloma; Risk factors; Nomogram; STAGING SYSTEM; ERA; COMPLICATIONS;
D O I
10.1016/j.jiac.2024.11.012
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: Multiple myeloma (MM) is a common hematologic malignancy and immune dysfunction is a hallmark of the disease. It leads to an increased infection risk, which is still a major cause of mortality. The infection spectrum and characteristics have evolved with the introduction of novel agents. An understanding of risk factors that increasing susceptibility to infection is critical in fighting them. This retrospective study aimed to identify risk factors associated with infection and develop nomogram to qualify the risk of infection. Methods: We retrospectively reviewed the data of patients who were diagnosed with MM between April 1, 2018 and December 31, 2021 in our department. Independent predictors for infection were determined by the univariate and multivariate logistic regression analysis. Nomogram was established and evaluated by receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA). Results: A total of 230 MM patients who were diagnosed or treated in our department were included. Infections were identified in 37.4 % of MM patients in the first treatment course. The most common infection was the pulmonary infection. The first treatment course had the highest infection rate. With three or more comorbidities, anemia, high LDH level and high beta 2-MG level were independent risk factors for infection in MM patients during the induction period. The area under the curve (AUC) of nomogram was 0.746 (95 % CI: 0.679-0.814). The calibration curve and DCA indicated the good performance of the nomogram. Conclusion: Multiple myeloma patients with one or more of these mentioned risk factors should be monitored with particular care in order to decrease the incidence and severity of infective complications. Nomogram was established to predict the incidence of infection in MM patients. Nomogram has satisfactory accuracy, and clinical utility may benefit for clinical decision-making.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Risk Factors For The Development Of Severe Bacterial Infection In Patients With Multiple Myeloma During Chemotherapy With Bortezomib Containing Regimens
    Hyun, Shin Young
    Jang, Ji Eun
    Kim, Yundeok
    Hwang, Doh Yu
    Kim, Soo Jeong
    Kim, Yu Ri
    Cheong, June Won
    Min, Yoo Hong
    Kim, Jin Seok
    BLOOD, 2013, 122 (21)
  • [22] Study of Risk Factors for the Occurrence of Infection in Multiple Myeloma: Case-Control Study in Myeloma Patients
    Niang, Elhadji Daouda
    Sarr, Khadim
    Thiam, Amy
    Ciss, Modou Moustapha
    Thiam, Awa
    Niang, Adjaratou Thiane Diane
    Camara, Marieme Lolita
    Fall, Seynabou
    Ndiaye, Fatou Samba Diago
    INDIAN JOURNAL OF HEMATOLOGY AND BLOOD TRANSFUSION, 2025,
  • [23] Infection Risk in Patients with Multiple Myeloma during the Era of Monoclonal Antibody Therapy
    Hoffman, Stephanie
    Kandarpa, Malathi
    Ye, Jing Christine
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2018, 18 : S256 - S257
  • [24] Clinical characteristics of patients with relapsed multiple myeloma
    Dimopoulos, Meletios A.
    Terpos, Evangelos
    Niesvizky, Ruben
    Palumbo, Antonio
    CANCER TREATMENT REVIEWS, 2015, 41 (10) : 827 - 835
  • [25] Characteristics and Risk Factors of Ultra-High-Risk Patients with Newly Diagnosed Multiple Myeloma
    Geng, Chuanying
    Yang, Guangzhong
    Zhou, Huixing
    Wang, Huijuan
    Li, Yanchen
    Leng, Yun
    Zhang, Zhiyao
    Jian, Yuan
    Chen, Wenming
    JOURNAL OF PERSONALIZED MEDICINE, 2023, 13 (04):
  • [26] Characteristics of patients experiencing thromboembolic events during treatment for multiple myeloma: Aspirin may not be adequate thromboprophylaxis in patients with multiple risk factors.
    Wright, Jennifer A.
    Weber, Donna
    Thomas, Sheeba K.
    Wang, Michael
    Alexanian, Raymond
    Hawkins, Victoria E.
    Vadhan-Raj, Saroj
    BLOOD, 2007, 110 (11) : 557A - 557A
  • [27] Risk factors and characteristics of blood stream infections in patients with newly diagnosed multiple myeloma
    Huang, Chun-Teng
    Liu, Chia-Jen
    Ko, Po-Shen
    Liu, Han-Tsung
    Yu, Yuan-Bin
    Hsiao, Liang-Tsai
    Gau, Jyh-Pyng
    Tzeng, Cheng-Hwai
    Chiou, Tzeon-Jye
    Liu, Jin-Hwang
    Yang, Muh-Hwa
    Huang, Ling-Ju
    Liu, Chun-Yu
    BMC INFECTIOUS DISEASES, 2017, 17
  • [28] Risk factors and characteristics of blood stream infections in patients with newly diagnosed multiple myeloma
    Chun-Teng Huang
    Chia-Jen Liu
    Po-Shen Ko
    Han-Tsung Liu
    Yuan-Bin Yu
    Liang-Tsai Hsiao
    Jyh-Pyng Gau
    Cheng-Hwai Tzeng
    Tzeon-Jye Chiou
    Jin-Hwang Liu
    Muh-Hwa Yang
    Ling-Ju Huang
    Chun-Yu Liu
    BMC Infectious Diseases, 17
  • [29] Clinical characteristics and prognostic factors in multiple myeloma patients with light chain deposition disease
    Mohan, Meera
    Buros, Amy
    Mathur, Pankaj
    Gokden, Neriman
    Singh, Manisha
    Susanibar, Sandra
    Kamimoto, Jorge Jo
    Hoque, Shadiqul
    Radhakrishnan, Muthukumar
    Matin, Aasiya
    Davis, Cynthia
    Grazziutti, Monica
    Thanendrarajan, Sharmilan
    van Rhee, Frits
    Zangari, Maurizio
    Davies, Faith
    Morgan, Gareth
    Epstein, Joshua
    Barlogie, Bart
    Schinke, Carolina
    AMERICAN JOURNAL OF HEMATOLOGY, 2017, 92 (08) : 739 - 745
  • [30] Risk Factors and Risk Stratification of Thromboembolic Risk in Patients with Multiple Myeloma
    Chaireti, Roza
    Nahi, Hareth
    Mazzucato, Mario
    HEMATO, 2022, 3 (03): : 518 - 526