Objective To explore the factors associated with clinic follow-up of old patients with colorectal cancer and provide more evidence to improve the efficiency and quality of clinic follow-up after sugery. Methods The data of 253 patients who were underwent sugery because of old colorectal cancer in our hospital from January 2009 to May 2010 were reviewed. Data about the rate and times of clinic follow-up within 6 months after operation were collected via Hospital Information Systerm, then the follow-up rate was calculated, and to analyse the possible factors associated with follow-up times and rate. Results The total follow-up rate was 84.2%（213/253）, and the total times of follow-up was between 0 to 24 times per one, （4.08±0.03）times on average. On the times of follow-up, patients inside the city was higher than that outside, patients with medical or postoperative complications were higher than those without, and patients with a stoma was lower than that without, and the differences were statistically significant （P＜0.05）.While on the follow-up rate, patients underwent a radical sugery or with a stoma were lower than those not or without, and the differences were statistically significant （P＜0.05）. Conclusions The clinic follow-up of old colorectal cancer patients is not satisfactory, and the possible factors associated with follow-up times or rate are the distance between residence and hospital, have medical complications or not, have postoperative complications or not, radical sugery or not, and with a stoma or without.
Power supply plays a key role in ensuring animal robots to obtain effective stimulation. To extending the stimulating time, there is a need to apply photovoltaic cells and monitor their parameter variations, which can help operators to obtain the optimal stimulation strategy. In this paper, an online monitoring system of photovoltaic cells for animal robot stimulators was presented. It was composed of battery information sampling circuit, multi-channel neural signal generator, power module and human-computer interaction interface. When the signal generator was working, remote navigation control of animal robot could be achieved, and the battery voltage, current, temperature and electricity information was collected through the battery information sampling circuit and displayed on the human-computer interaction system in real time. If there was any abnormal status, alarm would be activated. The battery parameters were obtained by charging and discharging test. The battery life under different light intensity and the stimulation effect of neural signal generator were tested. Results showed that the sampling errors of battery voltage, current and electric quantity were less than 15 mV, 5 mA and 6 mAh, respectively. Compared with the system without photovoltaic cells, the battery life was extended by 148% at the light intensity of 78 320 lx, solving the battery life problem to some extent. When animal robot was stimulated with this system, left and right turns could be controlled to complete with the success rate more than 80%. It will help researchers to optimize animal robot control strategies through the parameters obtained in this system.
In order to conduct surface monitoring of the three-dimensional spine morphology of the human body in daily life, a spine morphology measuring method using "single camera, multi-view" to construct stereo vision is proposed. The images of the back of the human body with landmarks of spinous process are captured from multiple angles by moving a single camera, and based on the "Zhang Zhengyou calibration method" and the triangulation principle of binocular stereo vision, the spatial conversion matrices corresponding to each other between all images and the 3D coordinates of the landmarks are calculated. Then the spine evaluation angle used to evaluate the spine morphology is further calculated. The tests’ results showed that the spine evaluation angle error of this method is within ±3°, and the correlation between the results and the X-ray film Cobb angles is 0.871. The visual detection algorithm used in this paper is non-radioactive, and because only one camera is used in the measurement process and there is no need to pre-set the camera's shooting pose, the operation is simple. The research results of this article can be used in a mobile phone-based intelligent detection system, which will be suitable for the group survey of scoliosis in communities, schools, families and other occasions, as well as for the long-term follow-up of confirmed patients. This will provide a reference for doctors to diagnose the condition, predict the development trend of the condition, and formulate treatment plans.
ObjectiveTo investigate the incidence of nosocomial infection and device-related infection in the Intensive Care Unit (ICU), analyze its related risk factors, and search for effective measures to prevent and control nosocomial infection. MethodsBy prospective objective monitoring method, we surveyed 294 patients hospitalized in the ICU for at least 48 hours between January and December 2012. The doctor in charge filled in relevant information of the patients to complete the questionnaires, and hospital infection management staff was responsible for tracking, judging, and statistical analysis. ResultsIn the 294 patients, 61 had hospital infections, and there were 78 cases. The hospital infection rate was 20.75%, and the case infection rate was 26.53%. The day incidence of patient infection was 16.01‰, and day infection rate was 20.47‰ for infection cases. After average severity of illness score adjustment, the day case infection rate was 7.48%, ventilator associated pneumonia (VAP) infection rate was 27.27‰, central venous catheter associated bloodstream infection rate was 6.58‰, and catheter associated urinary tract infection rate was 3.15‰. ConclusionICU has a high risk of hospital infection. In the device related infections, VAP infection rate is the highest. Continuous improvement can be achieved through monitoring and discovering problems, strengthening hospital infection management training for the medical personnel of the hospital, close communication between doctors and hospital infection management staff, and strict implementation of hospital infection management measures.
Venous pressure monitoring is an important indicator for the arteriovenous fistula evaluation. Direct static venous pressure monitoring is recognized as the most accurate way of venous pressure monitoring, which is widely used in the functional monitoring, functional evaluation of arteriovenous fistula, the diagnosis of complications and the evaluation of surgical efficacy. Venous pressure monitoring has obvious advantages and disadvantages, so it is necessary to improve relevant knowledge to correctly guide clinical diagnosis and treatment. In this paper, the study of static venous pressure monitoring of arteriovenous fistula was summarized, in order to improve the understanding of the significance and clinical application of static venous pressure monitoring of arteriovenous fistula.
The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches.
Objective To summarize application effect and clinical experience of multimodal intraoperative neurophysiological monitoring (IONM) technology in the surgery of neurofibromatosis type 1 (NF1) related peripheral nerve tumors. Methods A retrospective study was conducted on NF1 patients, who admitted between January 2019 and December 2023 and treated with peripheral nerve tumor resection surgery assisted by multimodal IONM technology. There were 49 males and 45 females. The age ranged from 5 to 78 years, with an average of 33.7 years. Tumor morphological classification included 71 cases of nodular type, 13 cases of diffuse type, and 10 cases of mixed type. Target tumors were distributed in craniofacial region (47 cases), neck (11 cases), trunk (12 cases), and limbs (24 cases). Preoperatively, 44 cases had no obvious neurological symptoms, while the remaining patients had neurological symptoms, including 15 cases of visual impairment, 5 cases of hearing impairment, 16 cases of somatic movement disorders, and 31 cases of somatic sensory disorders, of which 7 cases had more than one symptom. IONM plans were selected based on the relevant nerves and adjacent important structures of the target tumor, including visual evoked potential (17 cases), somatosensory evoked potential (44 cases), motor evoked potential (88 cases), and electromyogram (94 cases).Results All surgeries were successfully completed. Ninety-three patients underwent total/near total resection and 1 patient underwent palliative resection. Pathological examination showed 80 cases of neurofibroma and 14 cases of malignant peripheral nerve sheath tumors. Complications included 2 cases of hematoma and 3 cases of incision infection. All patients were followed up 3-61 months (median, 15 months). During follow-up, no significant changes in neurological symptoms or tumor recurrence were found. Among the patients with preoperative visual impairment, there were 14 cases with no improvement in symptoms and 1 with improvement after surgery. Among the patients with somatic movement disorders, there were 11 cases with no improvement in symptoms, 3 cases with improvement, 2 cases with aggravation, 4 newly onset cases, and 1 case with significant impact on daily life after surgery. Among the patients with somatic sensory disorders, there were 17 cases with no improvement in symptoms, 14 cases with improvement, and 13 newly onset cases. The patients with hearing impairment showed improvement after surgery. Conclusion The clinical manifestations of NF1 related peripheral nerve tumors are complex. Multimodal IONM technology can provide real-time detection of nerve provocation and damage. Surgical treatment with multimodal IONM technology is safe and can reduce complications.
Objective To compare administration of incidence reporting systems for healthcare risk management in the United Kingdom, the United States, Canada, Australia, and Taiwan, and to provide evidence and recommendations for healthcare risk management policy in China. Methods We searched the official websites of the healthcare risk management agencies of the four countries and one district for laws, regulatory documents, research reports, reviews, and evaluation forms concerned with healthcare risk management and assessment. Descriptive comparative analysis was performed on relevant documents. Results (1) A total of 142 documents were included in this study. The United States had the most relevant documents (68). (2) The type of incidents from reporting systems has expanded from medication errors and hospital-acquired infections to near-misses, and now includes all patient safety incidents. (3) The incidence-reporting systems can be grouped into two models: government-led and legal/regulatory/NGO-collaborative. (4) In two cases, reporting systems were established for specific incident types: One for death or serious injury events (the sentinel events database in Britain, SIRL), and one for healthcare-associated infections (NHSN in America). (5) Compared to the four countries, Taiwan’s system put more emphasis on public welfare, confidentiality, and information sharing. The contents of reporting there covered every aspect of risk management to create a more secure environment. Conclusion (1) Britain’s national reporting and learning system was representative of a government-led model; (2) The United States was the earliest country to have a reporting system, which included a limited range of incident types. Management of incidents became more reliable with increased application of laws, regulations, and guidances; (3) Both the Canadian and the Australian systems drew from the American experience and are still developing; (4) The Taiwanese system was comprehensive and is an instructional case.
Medical nitric oxide (NO) flow control system plays an important role in lowering pulmonary hypertension. The design requirements, overall scheme, delivery system and hardware circuits of a medical NO flow control system were introduced in this paper. Particularly, we proposed the design of NO delivery system and hardware circuits in detail. To deliver nitric oxide of a variable concentration, the designed system needs to work with a ventilator. The system can adjust and monitor the inhaled nitric oxide concentrations and send out sound and light alarms when the inhaled nitric oxide concentrations are out of the set range. To validate reliability and efficacy, we measured specifications such as linearity, stability and response time of the proposed NO flow control system by continuously administering nitric oxide into inspiratory circuit to deliver nitric oxide of variable concentrations to a test lung. The experiments showed that these specifications can meet the desired requirements.
In recent years, wearable devices have seen a booming development, and the integration of wearable devices with clinical settings is an important direction in the development of wearable devices. The purpose of this study is to establish a prediction model for postoperative pulmonary complications (PPCs) by continuously monitoring respiratory physiological parameters of cardiac valve surgery patients during the preoperative 6-Minute Walk Test (6MWT) with a wearable device. By enrolling 53 patients with cardiac valve diseases in the Department of Cardiovascular Surgery, West China Hospital, Sichuan University, the grouping was based on the presence or absence of PPCs in the postoperative period. The 6MWT continuous respiratory physiological parameters collected by the SensEcho wearable device were analyzed, and the group differences in respiratory parameters and oxygen saturation parameters were calculated, and a prediction model was constructed. The results showed that continuous monitoring of respiratory physiological parameters in 6MWT using a wearable device had a better predictive trend for PPCs in cardiac valve surgery patients, providing a novel reference model for integrating wearable devices with the clinic.