ObjectiveTo explore the effectiveness of dynamic hip screw (DHS) and intralesional curettage via Watson-Jones approach in treatment of benign bone lesions of the proximal femur.MethodsBetween March 2012 and December 2016, 20 patients (21 lesions) with benign bone tumors or tumor like conditions of proximal femurs were treated with DHS and intralesional curettage via Watson-Jones approach. Their average age was 27.8 years (range, 11-51 years), including 13 males and 7 females. The pathological diagnosis were fibrous dysplasia in 11 cases, simple bone cyst in 2 cases, aneurysmal bone cyst in 2 cases, benign fibrous histocytoma in 2 cases, giant cell tumor in 2 cases, and chondroblastoma in 1 case, including 3 pathological fractures. According to the Enneking staging system, 18 patients were in stage S1, 3 patients with pathological fractures in stage S2. There was no varus deformity or valgus deformity. The operation time, intraoperative blood loss, and time of full weight-bearing were recorded. X-ray film and CT were used to observe the bone graft fusion and location of DHS. Complications were recorded. Visual analogue scale (VAS) and Musculoskeletal Tumor Society (MSTS) scoring were used to evaluate function of lower limbs.ResultsThe average operation time was 177.1 minutes (range, 110-265 minutes). The average intraoperative blood loss was 828.6 mL (range, 200-2 300 mL). There was superficial incision infection in 1 case, deep incision infection in 1 case, and hip discomfort in 1 case, respectively. All patients were followed up 6-63 months (mean, 27.4 months). The time of full weight-bearing was 2 days in 2 patients with giant cell tumor and 2 to 13 weeks with an average of 7.2 weeks in the other patients. At last follow-up, VAS and MSTS were 0.19±0.51 and 29.62±0.97 respectively, showing significant differences when compared with the values before operation (3.52±2.62 and 23.71±8.77) (t=5.565, P=0.000; t=–3.020, P=0.007 ). X-ray film showed the all bone grafts fusion with mean time of 8.2 months (range, 5-12 months). There was no pathological fracture of the femur, local tumor recurrence, chronic hip pain, dislocation, or femoral head necrosis during follow-up.ConclusionThe treatment of benign bone lesion of the proximal femur using DHS and intralesional curettage via Watson-Jones approach is a safe and effective method.
Objective To understand the sexual behavior statu of married migrant workers in Chongqing, so as to provide the government with foundation for formulating related social strategies. Methods A multi-stage stratified cluster random sampling method was applied to select respondents, and the face-to-face interview was performed to investigate by trained investigators. The date was analyzed by using SAS9.0 software. Results A total of 377 married migrant workers were investigated. Among them, 226 (59.95%) lived with their spouses, of whom 13.72% had extramarital sexual behaviors, with 48.39% commercial sexual behaviors; the other 151 (40.05%) didn’t live with their spouses, of whom 49.25% had no normal sexual life for at least three months and 28.48% had extramarital sexual behaviors, with 60.47% commercial sexual behaviors. 66.41% of male migrant workers and 46.28% of female migrant workers had sexual depression, and different genders between the migrant workers were statistically significant (Plt;0.05). Conclusion There is sexual depression among married migrant workers. The related measures should be taken according to the status of their sexual behaviors, so as to improve their status of sexual depression.
Objective To evaluate therapeutic efficacy and safety of recombinant human granulocyte-macrophage colony-stimulating factor (GM-CSF) inhalation in patients with recurrent pulmonarv alveolar proteinosis (PAP). Methods Three cases of recurrent PAP were treated by GM-CSF inhalation after whole lung lavage. The clinical data of the pulmonary function and SpO 2, the clinical symptoms and pulmonary lesions were compared before and after treatment. Results The pulmonary function and manifestations were improved obviously after GM-CSF inhalation. Also the ground-glass opacity was improved in high-resolution CT. The pulmonary function and SpO 2 increased obviously after received GM-CSF inhalation. There were no any adverse reactions in 3 cases. Conclusion GM-CSF inhalation therapy is effective and safe in recurrent PAP, but the long-term effect remains to be seen.
As a novel technology, wearable physiological parameter monitoring technology represents the future of monitoring technology. However, there are still many problems in the application of this kind of technology. In this paper, a pilot study was conducted to evaluate the quality of electrocardiogram (ECG) signals of the wearable physiological monitoring system (SensEcho-5B). Firstly, an evaluation algorithm of ECG signal quality was developed based on template matching method, which was used for automatic and quantitative evaluation of ECG signals. The algorithm performance was tested on a randomly selected 100 h dataset of ECG signals from 100 subjects (15 healthy subjects and 85 patients with cardiovascular diseases). On this basis, 24-hour ECG data of 30 subjects (7 healthy subjects and 23 patients with cardiovascular diseases) were collected synchronously by SensEcho-5B and ECG Holter. The evaluation algorithm was used to evaluate the quality of ECG signals recorded synchronously by the two systems. Algorithm validation results: sensitivity was 100%, specificity was 99.51%, and accuracy was 99.99%. Results of controlled test of 30 subjects: the median (Q1, Q3) of ECG signal detected by SensEcho-5B with poor signal quality time was 8.93 (0.84, 32.53) minutes, and the median (Q1, Q3) of ECG signal detected by Holter with poor signal quality time was 14.75 (4.39, 35.98) minutes (Rank sum test, P=0.133). The results show that the ECG signal quality algorithm proposed in this paper can effectively evaluate the ECG signal quality of the wearable physiological monitoring system. Compared with signal measured by Holter, the ECG signal measured by SensEcho-5B has the same ECG signal quality. Follow-up studies will further collect physiological data of large samples in real clinical environment, analyze and evaluate the quality of ECG signals, so as to continuously optimize the performance of the monitoring system.
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients’ cardiopulmonary function, and management of patients outside hospital.
Patients with acute heart failure (AHF) often experience dyspnea, and monitoring and quantifying their breathing patterns can provide reference information for disease and prognosis assessment. In this study, 39 AHF patients and 24 healthy subjects were included. Nighttime chest-abdominal respiratory signals were collected using wearable devices, and the differences in nocturnal breathing patterns between the two groups were quantitatively analyzed. Compared with the healthy group, the AHF group showed a higher mean breathing rate (BR_mean) [(21.03 ± 3.84) beat/min vs. (15.95 ± 3.08) beat/min, P < 0.001], and larger R_RSBI_cv [70.96% (54.34%–104.28)% vs. 58.48% (45.34%–65.95)%, P = 0.005], greater AB_ratio_cv [(22.52 ± 7.14)% vs. (17.10 ± 6.83)%, P = 0.004], and smaller SampEn (0.67 ± 0.37 vs. 1.01 ± 0.29, P < 0.001). Additionally, the mean inspiratory time (TI_mean) and expiration time (TE_mean) were shorter, TI_cv and TE_cv were greater. Furthermore, the LBI_cv was greater, while SD1 and SD2 on the Poincare plot were larger in the AHF group, all of which showed statistically significant differences. Logistic regression calibration revealed that the TI_mean reduction was a risk factor for AHF. The BR_ mean demonstrated the strongest ability to distinguish between the two groups, with an area under the curve (AUC) of 0.846. Parameters such as breathing period, amplitude, coordination, and nonlinear parameters effectively quantify abnormal breathing patterns in AHF patients. Specifically, the reduction in TI_mean serves as a risk factor for AHF, while the BR_mean distinguishes between the two groups. These findings have the potential to provide new information for the assessment of AHF patients.
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.