Previously submitted to: JMIR Medical Informatics (no longer under consideration since Jun 22, 2021)
Date Submitted: Mar 29, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Adoption of Wireless Information Medical Data Monitoring Under Zigbee Technology in Bacterial Infection Detection of Patients
ABSTRACT
Objective:
the research aimed to explore the application of wireless information medical data monitoring based on ZigBee technology in the post-chemotherapy monitoring of blood tumor patients and the diagnostic value of neutrophil CD64 (nCD64) expression level on bacterial infection.
Methods:
a total of 128 cases of blood tumor patients undergoing chemotherapy in our hospital from October 2016 to October 2018 were selected as the research objects and divided into the bacterial infected group and the uninfected group. The wireless sensor network system based on ZigBee technology was adopted to monitor the physiological indicators of patients, and patients with no fever and long hospitalization time were dynamically monitored. The expression level of nCD64 was determined by flow cytometry. The expressions of nCD64, PCT (procalcitonin), and CRP (C-reactive protein) in each group were compared, and the critical value, sensitivity, and specificity of PCT, CRP, and nCD64 in the diagnosis of bacterial infection were determined according to the Receiver Operating Characteristic Curve (ROC).
Results:
the nCD64 level of subgroups of neutrophil granulocyte (increase group, normal group, decrease group, lack group) of the infected group was significantly higher than that of the uninfected group (P<0.05); the nCD64 level of dynamic monitoring sites 1 and 3 was significantly higher than that of the control group, the non-infected group, and the dynamic monitoring point 2 (P<0.05); PCT and CRP values of the infected group were significantly higher than those of the non-infected group (P<0.05); the sensitivity and specificity of nCD64 (infected group and dynamic monitoring group) in the diagnosis of bacterial infection were 90.4 and 86.7, 79.6, and 79.6, respectively, which were higher than PCT and CRP. Conclusion: the combination of wireless information medical monitoring and nCD64 based on ZigBee technology can effectively diagnose the bacterial infection of patients with blood tumor after chemotherapy.
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