Automated regional citrate anticoagulation based on online monitoring of ionized calcium concentration: Proof of concept.

closed-loop control system continuous renal replacement therapy ion-selective electrode ionized calcium regional citrate anticoagulation

Journal

Artificial organs
ISSN: 1525-1594
Titre abrégé: Artif Organs
Pays: United States
ID NLM: 7802778

Informations de publication

Date de publication:
Nov 2022
Historique:
revised: 03 06 2022
received: 27 04 2022
accepted: 08 06 2022
pubmed: 15 6 2022
medline: 2 11 2022
entrez: 14 6 2022
Statut: ppublish

Résumé

Regional citrate anticoagulation (RCA), a complex and effective technique, is recommended as the anticoagulation of choice for continuous renal replacement therapy. One of its key objectives is to keep the ionized calcium in the targeted range. In this study, we aimed to develop an automated RCA based on online monitoring of the ionized calcium concentration and closed-loop feedback. We constructed calcium-selective electrodes with liquid inner contact, which measured a potentiometric signal as the output. We tested the responses, stability, and selectivity of the electrodes in flowing fluid containing calcium chloride. We compared the measurement accuracy between the electrodes and an i-STAT system in vivo. Moreover, we established closed-loop feedback using a proportional-integral-derivative controller model. We performed simulated automated RCA both in vivo and in vitro. The electrode gave a Nernstian response to the variation of ionized calcium concentration. It showed high stability and a relatively short response time. Changes in the fluid flow rate, solution PH, and addition of metal ions including Mg We successfully trialed automated RCA, which may help simplify the complexities of RCA in the future.

Sections du résumé

BACKGROUND BACKGROUND
Regional citrate anticoagulation (RCA), a complex and effective technique, is recommended as the anticoagulation of choice for continuous renal replacement therapy. One of its key objectives is to keep the ionized calcium in the targeted range. In this study, we aimed to develop an automated RCA based on online monitoring of the ionized calcium concentration and closed-loop feedback.
METHODS METHODS
We constructed calcium-selective electrodes with liquid inner contact, which measured a potentiometric signal as the output. We tested the responses, stability, and selectivity of the electrodes in flowing fluid containing calcium chloride. We compared the measurement accuracy between the electrodes and an i-STAT system in vivo. Moreover, we established closed-loop feedback using a proportional-integral-derivative controller model. We performed simulated automated RCA both in vivo and in vitro.
RESULTS RESULTS
The electrode gave a Nernstian response to the variation of ionized calcium concentration. It showed high stability and a relatively short response time. Changes in the fluid flow rate, solution PH, and addition of metal ions including Mg
CONCLUSIONS CONCLUSIONS
We successfully trialed automated RCA, which may help simplify the complexities of RCA in the future.

Identifiants

pubmed: 35699387
doi: 10.1111/aor.14335
doi:

Substances chimiques

Citric Acid 2968PHW8QP
Calcium SY7Q814VUP
Anticoagulants 0
Citrates 0
Ions 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2191-2200

Subventions

Organisme : Shanghai Ninth People's Hospital Clinical Research Program
ID : JYLJ007
Organisme : National Natural Science Foundation of China
ID : 81470990
Organisme : National Natural Science Foundation of China
ID : 81870462
Organisme : Science & Technology Innovation fund of Shanghai Ninth People's Hospital
ID : CK2019010
Organisme : Science and Technology Commission of the Shanghai Municipality
ID : 17441904200
Organisme : Science and Technology Commission of the Shanghai Municipality
ID : 19441909300

Informations de copyright

© 2022 International Center for Artificial Organ and Transplantation (ICAOT) and Wiley Periodicals LLC.

Références

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Auteurs

Xiao Bi (X)

Division of Nephrology & Critical Care Nephrology Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Tissue Engineering, Shanghai, China.

Qi Zhang (Q)

Division of Nephrology & Critical Care Nephrology Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Tissue Engineering, Shanghai, China.

Damin Ding (D)

School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Tao Zhang (T)

Shanghai Shuiyi Technology Co., Ltd., Shanghai, China.

Jianxin Lu (J)

Division of Nephrology & Critical Care Nephrology Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Tissue Engineering, Shanghai, China.

Zhenkai Wu (Z)

Division of Nephrology & Critical Care Nephrology Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Tissue Engineering, Shanghai, China.

Jiaolun Li (J)

Division of Nephrology & Critical Care Nephrology Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Tissue Engineering, Shanghai, China.

Feng Ding (F)

Division of Nephrology & Critical Care Nephrology Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University, School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Tissue Engineering, Shanghai, China.

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Classifications MeSH