Previously submitted to: JMIR Medical Informatics (no longer under consideration since Jun 22, 2021)
Date Submitted: Mar 29, 2020
Wireless Sensor Technology to Monitor Patients with Bacterial Infections: Clinical Trials
Background:
Despite the rapid development of computer information technology, sensing technology, and communication technology, traditional medical monitoring systems in use usually need to connect many cables to a patient for monitoring.
Objective:
Our research aimed to explore the application of wireless information medical data monitoring based on ZigBee technology in the postchemotherapy monitoring of patients with blood tumor burden. We aimed to determine the diagnostic value of the expression level of neutrophil CD64 (nCD64) on the neutrophil surface during bacterial infection.
Methods:
We selected a total of 128 patients with blood tumor burden who were undergoing chemotherapy in our hospital from October 2016 to October 2018 as research subjects and divided them into 2 groups: a group with bacterial infection and a noninfected group. The wireless sensor network system based on ZigBee technology was adopted to monitor the physiological indicators of patients; patients with no fever and long hospitalization time were dynamically monitored and were divided into dynamic monitoring point 1, dynamic monitoring point 2, dynamic monitoring point 3, and a control group. The expression level of nCD64 was determined by flow cytometry. The expressions of nCD64, procalcitonin (PCT), and C-reactive protein (CRP) 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 (ROC) curve.
Results:
The body temperature, heart rate, and blood pressure of the group with bacterial infection were significantly higher than those of the noninfected group (P=.02, P=.01, and P=.02, respectively). The nCD64 level of the infected group was significantly higher than that of the noninfected group (increase group versus increase group, P=.08; normal group versus normal group, P=.058; lack group versus lack group, P=.09; decrease group versus decrease group, P=.13). The nCD64 levels of dynamic monitoring point 1 were significantly higher than those of the control group, the noninfected group, and dynamic monitoring point 2 (P=.005, P=.001, and P=.003, respectively). The nCD64 levels of dynamic monitoring point 3 was significantly higher than those of the control group, the noninfected group, and dynamic monitoring point 2 (P=.01, P=.009, and P=.006, respectively). The PCT and CRP values of the infected group were significantly higher than those of the noninfected group (P=.02 and P=.02, respectively). The sensitivity and specificity of nCD64 in the infected group and the dynamic monitoring group in the diagnosis of bacterial infection were 90.4% and 86.7%, and 79.6%, and 79.6%, respectively, which were higher than the PCT and CRP.
Conclusions:
The combination of wireless information medical monitoring and nCD64 levels based on ZigBee technology can effectively diagnose the bacterial infection of patients with blood tumor burden after chemotherapy.
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