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A real-world study for safety evaluation and risk assessment of disposable hemoperfusion devices

Published on Oct. 29, 2025Total Views: 99 times Total Downloads: 16 times Download Mobile

Author: LI Kaili 1# FU Yuanfeng 2# ZENG Baoqi 1, 3, 4 ZHANG Yunxian 2 SUN Feng 1, 3, 5, 6, 7

Affiliation: 1. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China 2. Guangdong Provincial Center for Drug Adverse Reaction Monitoring, Guangzhou 510080, China 3. Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China 4. Central Laboratory, Tianjin Fiſth Central Hospital (Binhai Hospital of Peking University), Tianjin 300450, China 5. Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, China 6. School of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830017, China 7. School of Medicine, Shihezi University, Shihezi 832000, Xinjiang Uygur Autonomous Region, China

Keywords: Disposable hemoperfusion devices Adverse events Hypotension Hemoperfusion occlusion Influencing factors

DOI: 10.12173/j.issn.1005-0698.202506008

Reference: LI Kaili, FU Yuanfeng, ZENG Baoqi, ZHANG Yunxian, SUN Feng. A real-world study for safety evaluation and risk assessment of disposable hemoperfusion devices[J]. Yaowu Liuxingbingxue Zazhi, 2025, 34(10): 1159-1168. DOI: 10.12173/j.issn.1005-0698.202506008.[Article in Chinese]

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Abstract

Objective  To analyze the characteristics of adverse events of disposable hemoperfusion devices in real-world clinical practice using multicenter data, and to investigate the influencing factors of hypotension, providing evidence for the safe clinical use of these devices.

Methods  An observational study was conducted involving patients who received disposable hemoperfusion therapy across 17 sentinel hospitals in China from June 2022 to July 2024. Device-related adverse events were monitored and analyzed. Descriptive statistics, Firth's Logistic regression model, and balanced random forest model were applied to systematically evaluate the manifestations of adverse events and the risk factors for the occurrence of hypotension.

Results  A total of 17,824 usage records were included. In the sentinel hospital data, hypotension [0.19%, 95%CI (0.14%, 0.27%)] and hemoperfusion occlusion [0.13%, 95%CI (0.09%, 0.19%)] occupied the highest incidence rate. The Firth's Logistic regression analysis revealed that end-stage renal disease with comorbidities significantly increased hypotension risk (OR=77.324), while no prior medical history was protective (OR=0.061). Stepwise blood purification modalities (hemoperfusion alone or sequential hemoperfusion-hemodialysis) significantly reduced the hypotension risk compared with simultaneous hemoperfusion and hemodialysis (OR=0.003). The random forest model further confirmed that blood purification modality was the strongest influencing factor for hypotension.

Conclusion  In real-world clinical settings, hypotension and device occlusion were the predominant adverse events, with blood purification modality critically influencing hypotension risk. Stepwise blood purification is recommended to mitigate this risk. Enhancing clinical operating procedures and device design is essential to improve overall treatment safety.

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References

1.左力. 血液净化模式选择专家共识[J]. 中国血液净化, 2019, 18(7): 442-472. [Zuo L. Consensus by experts about the choice of blood purification modality[J]. Chinese Journal of Blood Purification, 2019, 18(7): 442-472.] DOI: 10.3969/j.issn.1671-4091.2019.07.002.

2.Ronco C, Bellomo R. Hemoperfusion: technical aspects and state of the art[J]. Crit Care, 2022, 26(1): 135. DOI: 10.1186/s13054-022-04009-w.

3.国家市场监督管理总局. 医疗器械分类规则[R/OL]. (2015-07-14) [2025-09-28]. https://www.samr.gov.cn/zw/zfxxgk/fdzdgknr/bgt/art/2023/art_24dbff6e15494c9cb112ea15ed158001.html.

4.O'brien R, Ishwaran H. A random forests quantile classifier for class imbalanced data[J]. Pattern Recognit, 2019, 90: 232-249. DOI: 10.1016/j.patcog.2019.01.036.

5.Onwudiwe NC, Charter R, Gingles B, et al. Generating appropriate and reliable evidence for value assessment of medical devices: an ISPOR medical devices and diagnostics special interest group report[J]. J Med Devices, 2022, 16(3): 034701 (10 pages). https://doi.org/10.1115/1.4053928.

6.国家药品监督管理局. 国家药监局关于发布医疗器械注册人开展不良事件监测工作指南的通告(2020年第25号)[R/OL]. (2020-04-03) [2025-09-28]. https://www.nmpa.gov.cn/xxgk/ggtg/ylqxggtg/ylqxqtggtg/20200410153001855.html.

7.陈梓杭. Logistic回归中的变量选择方法比较分析[D]. 长春: 东北师范大学, 2022.

8.Heinze G, Schemper M. A solution to the problem of separation in logistic regression[J]. Stat Med, 2002, 21(16): 2409-2419. DOI: 10.1002/sim.1047.

9.Zhang Z, Seibold H, Vettore MV, et al. Subgroup identification in clinical trials: an overview of available methods and their implementations with R[J]. Ann Transl Med, 2018, 6(7): 122. DOI: 10.21037/atm.2018.03.07.

10.Habas E, Rayani A, Habas A, et al. Intradialytic hypotension pathophysiology and therapy update: review and update[J/OL]. Blood Press, 2025, 27: 1-18. DOI: 10.1080/08037051. 2025.2469260.

11.姜振华, 任玉卿, 史官茂, 等. 维持性血液透析患者透析过程中发生有效血容量不足时血压波动特征及其与透析开始时血压的比较[J]. 中国综合临床, 2020, 36(1): 40-45. [Jiang ZH, Ren YQ, Shi GM, et al. Characteristics of blood pressure fluctuation in hemodialysis patients with insufficient effective blood volume and comparison with blood pressure at the beginning of hemodialysis[J]. Clinical Medicine of China, 2020, 36(1): 40-45.] DOI: 10.3760/cma.j.issn.1008-6315.2020.01.010.

12.Gräfe C, Weidhase L, Liebchen U, et al. Hemoperfusion in anesthesia and intensive care medicine: benefits, risks, and evidence for different systems[J]. Anaesthesiologie, 2023, 72(12): 843-851. DOI: 10.1007/s00101-023-01341-w.

13.Lsq NN, Larizza C, Nocera A, et al. A comparative study of the definitions of intradialytic hypotension correlated with increased mortality to identify universal predictors[J]. Int J Med Inform, 2023, 173(1): 104975. DOI: 10.1016/j.ijmedinf.2022.104975.

14.Rodrigues FSC, Faria M. Adsorption-and displacement-based approaches for the removal of protein-bound uremic toxins[J]. Toxins (Basel), 2023, 15(2): 110. DOI: 10.3390/toxins15020110.

15.马志芳, 向晶, 夏京华, 等. 组合式血液灌流联合血液透析治疗专科护理操作专家共识[J]. 中国血液净化, 2023, 22(5): 364-368, 380. [Ma ZF, Xiang J, Xia JH, et al. Expert consensus on the specialized nursing operation of hemoperfusion combined with hemodialysis[J]. Chinese Journal of Blood Purification, 2023, 22(5): 364-368, 380.] DOI: 10.3969/j.issn.1671-4091. 2023.05.010.

16.U.S. Food and Drug Administration. Class 2 device recall MARS treatment Kit[EB/OL]. (2018-01-24) [2025-09-28]. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfres/res.cfm?id=160660.

17.Zhang Y, Su S, Chen Z, et al. Prediction of intradialytic hypotension based on heart rate variability and skin sympathetic nerve activity using LASSO-enabled feature selection: a two-center study[J]. Ren Fail, 2025, 47(1): 2478487. DOI: 10.1080/0886022x.2025.2478487.

18.Mansournia MA, Geroldinger A, Greenland S, et al. Separation in logistic regression: causes, consequences, and control[J]. Am J Epidemiol, 2018, 187(4): 864-870. DOI: 10.1093/aje/kwx299.

19.Geroldinger A, Blagus R, Ogden H, et al. An investigation of penalization and data augmentation to improve convergence of generalized estimating equations for clustered binary outcomes[J]. BMC Med Res Methodol, 2022, 22(1): 168. DOI: 10.1186/s12874-022-01641-6.

20.Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons[J]. Stat Methods Med Res, 2024, 33(4): 669-680. DOI: 10.1177/09622802241236933.

21.袁移安, 李向东. 低温透析避免低血压发生的机制[J]. 医学新知, 2008, 18(1): 33-34, 37. [Yuan YA, Li XD. Initial study on low temperature dialysis in treating hypotension[J]. New Medicine, 2008, 18(1): 33-34, 37.] DOI: 10.3969/j.issn.1004-5511. 2008.01.012.

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