1.CT Guided Interventional Treatment of Intracranial Hematoma
Maoqing HOU ; Lixiang HE ; Nanxing CHEN ; Yiyong DUAN ; Hao PENG
Journal of Practical Radiology 1992;0(11):-
Objective To investigate the value of CT guided interventional treatment in intracranial hematoma.Methods There were 108 cases with intracranial hematoma(30~100 ml,average of 50 ml) in our hospital from 2000~2003.Among them,58 cases were located in putamen,6 cases in subcortial,4 cases in thalamus,4 cases in cerebella,12 cases were traumatic eprdural hematoma and 12 cases were subdural hematoma.The table distance of the aspirated slice was the sum of table distance at the slice of the maximum hematoma and half slice thickness.It was considered successful for CT guided aspiration if the distance between the front of aspiration needle and the center ofthe biggest hematoma was not more than 1mm and it was regarded effective,when the patients' lives were saved and their life quality was improved.Results The success rate of CT guided aspiration was 99.8%.The effective rate of hypertensive intracerebralhemorrhage located in putamen,subcortial and thalamus was 94.3%.The effective rate of CT guided interventional treatment for cerebellar hypertensive intracerebral hemorrhage above 30ml was 0,the cure rate of traumatic epidural and subdural hematoma was 97.2%.Conclusion The effect of CT guided interventional treatment of intracranial hematoma is well except for cerebellar hematoma.
2.Effects of insulin resistance on coronary arterial lesion in diabetic patients with coronary heart disease
Luxiang CHI ; Guoxiang HE ; Zhiyuan SONG ; Maoqing SHU ;
Journal of Third Military Medical University 1988;0(05):-
50% and types 2 and 3 of plaque morphology) and mild lesion group (MG, narrowness of luminal diameter
3.Efficacy and safety of ipragliflozin treatment for type 2 diabetes:a Meta-analysis
Zhiqiong HE ; li Yan WANG ; Maoqing HU ; Lin ZHANG
The Journal of Practical Medicine 2017;33(19):3299-3303
Objective To assess the efficacy and safety of ipragliflozin ,a sodium glucose cotransporter 2 (SGLT2)inhibitor,for the treatment of type 2 diabetes. Methods Pubmed,the Cochrane Library,EMbase,CBM and CNKI databases was searched to identify randomized controlled trials(RCTs)pertinent to of ipragliflozin. The risk of bias of the included RCTs was assessed according to the Cochrane Handbook for Systematic Reviews of Inter-ventions Version 5.1.The RevMan 5.3 software was used for Meta-analysis. Results Ten RCTs with 2,390 partici-pants were included,Meta analysis showed that ipragliflozin was more effective than placebo in improving HbA1c level,and could concurrently reduce body weight,blood pressure,and the fasting plasma glucose(FPG)but not increase the risk of hypoglycemia. There were no statistically significant differences in the occurrence of urinary tract infection and genital infection as well as serious adverse events. Conclusion As a safe method ,ipragliflozin can effectively improve the HbA1c level in type 2 diabetes,help patients lose weight and reduce blood pressure.
4.Design and preliminary validation of a ubiquitous and wearable physiological monitoring system.
Desen CAO ; Deyu LI ; Zhengbo ZHANG ; Xiaoli LIU ; Hong LIANG ; Maoqing HE ; Mengsun YU
Journal of Biomedical Engineering 2019;36(1):121-130
To achieve continuously physiological monitoring on hospital inpatients, a ubiquitous and wearable physiological monitoring system SensEcho was developed. The whole system consists of three parts: a wearable physiological monitoring unit, a wireless network and communication unit and a central monitoring system. The wearable physiological monitoring unit is an elastic shirt with respiratory inductive plethysmography sensor and textile electrocardiogram (ECG) electrodes embedded in, to collect physiological signals of ECG, respiration and posture/activity continuously and ubiquitously. The wireless network and communication unit is based on WiFi networking technology to transmit data from each physiological monitoring unit to the central monitoring system. A protocol of multiple data re-transmission and data integrity verification was implemented to reduce packet dropouts during the wireless communication. The central monitoring system displays data collected by the wearable system from each inpatient and monitors the status of each patient. An architecture of data server and algorithm server was established, supporting further data mining and analysis for big medical data. The performance of the whole system was validated. Three kinds of tests were conducted: validation of physiological monitoring algorithms, reliability of the monitoring system on volunteers, and reliability of data transmission. The results show that the whole system can achieve good performance in both physiological monitoring and wireless data transmission. The application of this system in clinical settings has the potential to establish a new model for individualized hospital inpatients monitoring, and provide more precision medicine to the patients with information derived from the continuously collected physiological parameters.
5.Investigation on new paradigm of clinical physiological monitoring by using wearable devices.
Zhao WANG ; Hong LIANG ; Jiachen WANG ; Yaning ZANG ; Haoran XU ; Ke LAN ; Maoqing HE ; Wei YAN ; Desen CAO ; Muyang YAN ; Zhengbo ZHANG
Journal of Biomedical Engineering 2021;38(4):753-763
As a low-load physiological monitoring technology, wearable devices can provide new methods for monitoring, evaluating and managing chronic diseases, which is a direction for the future development of monitoring technology. However, as a new type of monitoring technology, its clinical application mode and value are still unclear and need to be further explored. In this study, a central monitoring system based on wearable devices was built in the general ward (non-ICU ward) of PLA General Hospital, the value points of clinical application of wearable physiological monitoring technology were analyzed, and the system was combined with the treatment process and applied to clinical monitoring. The system is able to effectively collect data such as electrocardiogram, respiration, blood oxygen, pulse rate, and body position/movement to achieve real-time monitoring, prediction and early warning, and condition assessment. And since its operation from March 2018, 1 268 people (657 patients) have undergone wearable continuous physiological monitoring until January 2020, with data from a total of 1 198 people (632 cases) screened for signals through signal quality algorithms and manual interpretation were available for analysis, accounting for 94.48 % (96.19%) of the total. Through continuous physiological data analysis and manual correction, sleep apnea event, nocturnal hypoxemia, tachycardia, and ventricular premature beats were detected in 232 (36.65%), 58 (9.16%), 30 (4.74%), and 42 (6.64%) of the total patients, while the number of these abnormal events recorded in the archives was 4 (0.63%), 0 (0.00%), 24 (3.80%), and 15 (2.37%) cases. The statistical analysis of sleep apnea event outcomes revealed that patients with chronic diseases were more likely to have sleep apnea events than healthy individuals, and the incidence was higher in men (62.93%) than in women (37.07%). The results indicate that wearable physiological monitoring technology can provide a new monitoring mode for inpatients, capturing more abnormal events and provide richer information for clinical diagnosis and treatment through continuous physiological parameter analysis, and can be effectively integrated into existing medical processes. We will continue to explore the applicability of this new monitoring mode in different clinical scenarios to further enrich the clinical application of wearable technology and provide richer tools and methods for the monitoring, evaluation and management of chronic diseases.
Heart Rate
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Humans
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Monitoring, Physiologic
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Movement
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Sleep Apnea Syndromes
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Wearable Electronic Devices