Objective To investigate the hot topics of research on evidence-based medicine in 2002. Method To search MEDLINE for papers on evidence-based medicine published in 2002, identify high-frequency subject headings related to research on evidence-based medicine, and cluster the high-frequency subject headings according to rates they appeared in common papers. Results 545 papers, 1 554 subject headings, 30 high-frequency subject headings on evidence-based medicine, and nine clustering categories of high-frequency subject headings were identified through search. Conclusions Both high-frequency subject headings and their clustering categories suggested that “evidence-based practice guidelines and their innovation”, “evidence-based health research and health policy”, “methodology on systematic reviews and randomized clinical trials”, “method of evidence-based decision making and its application in various subjects”, were the hot topics of evidence-based medicine. They provided useful references for Chinese medical professionals to practice evidence-based medicine.
ObjectiveTo evaluate the value of high-frequency color Doppler ultrasonography in the diagnosis of femoral hernia. MethodsThe ultrasonographic features of 39 femoral hernias in 37 patients treated between March 2008 and October 2013 were retrospectively analyzed, and the results were confirmed by surgery. ResultsThirty-nine femoral hernias were diagnosed by surgery, including 19 in the right side, 16 in the left side, and 2 with double-side hernias. Thirty-seven femoral hernias were diagnosed with ultrasonography. Two femoral hernias were misdiagnosed as lipoma in one, and as enlarged lymph nodes in one, respectively. Ultrasound diagnosis accurate rate was 94.9% (37/39). Hernia content could be seen through surgery in 28 cases, and the ultrasound accurate rate in assessing the hernia content was 85.7% (24/28). ConclusionUltrasonography is the first choice for improving the diagnosis efficacy of femoral hernia.
ObjectiveTo summarize the characteristics, diagnosis, and treatment of acral glomus tumor in order to improve the level of diagnosis and treatment. MethodsThe clinical data from 70 cases of acral glomus tumor treated between June 2004 and October 2013 were analyzed retrospectively. There were 11 males and 59 females with an average age of 41 years (range, 18-67 years). The disease duration ranged from 4 months to 30 years, with a median duration of 5 years. Sixty-nine cases had solitary tumors and only 1 patient had more than 1 lesion. The tumors were located on the finger in 66 patients (67 fingers) and the toe in 4 patients (4 toes); among them, the subungual glomus tumor happened in 44 patients (44 fingers and 1 toe). All patients suffered from paroxysmal pain and pinpoint pain with positive Love's pin test, and 29 patients (28 fingers and 1 toe) had positive cold sensitivity. Fifty-two patients (48 fingers and 4 toes) were found to have glomus tumor according to the high-frequency color doppler ultrasonography. X-ray films revealed depression on the phalanx in 16 patients (14 fingers and 2 toes). ResultsNo patient suffered from delayed incision healing, and infection after surgical treatment. The follow-up time was from 1 month to 9 years and 2 months with a median follow-up time of 20 months. The clinical symptoms disappeared after surgery with no dysfunction or recurrence. ConclusionThe diagnosis of acral glomus tumor is easy because of the typical symptoms:paroxysmal pain, pinpoint pain, and cold sensitivity. High-frequency color doppler ultrasonography may play an important role in the preoperative assessment of glomus tumors with accurate localization.
Objective To compare the effect of high-frequency chest wall oscillation (HFCWO) expectoration and mechanical vibration (MV) expectoration in elderly patients with pulmonary infection. Methods Thirty elderly patients with pulmonary infection were randomly divided into a HFCWO group and a MV group with 15 patients in each group. On the basis of routine treatment, the HFCWO group was treated with HFCWO vest to help expectoration, and the MV group underwent traditional mechanical vibration to help expectoration. The respiratory rate, peripheral oxygen saturation (SpO2), activities of daily living (ADL) score were measured before treatment (D1), 7 days (D7), and 14 days (D14) after treatment. Results Except ADL score had no difference between D7 and D14 in the MV group, there were significant differences in daily amount of sputum, respiratory rate, SpO2, ADL score between D1, D7, and D14 in both groups (P<0.05). There were no significant differences in daily amount of sputum between two groups on D1, D7, or D14. SpO2 and ADL score were significantly higher in the HFCWO group on D7 and D14 compared with the MV group (P<0.05). Conclusions Both high-frequency chest wall oscillation and mechanical vibration are effective in improving expectoration. The HFCWO vest is superior in improving blood oxygen and relieving shortness of breath than mechanical vibration expectoration.
ObjectiveTo observe the accuracy of location and operation of traditional blind acupotomy lysis in the treatment of scapulohumeral periarthritis by using the high-frequency ultrasound.MethodsForty-two patients with scapulohumeral periarthritis diagnosed in the First Affiliated Hospital of Xinjiang Medical University and Urumqi Hospital of Traditional Chinese Medicine from February to April 2018 were selected. Four common sites of needle knife in the treatment of scapulohumeral periarthritis were operated blindly, and the process of the needle insertion points location and needle perform were both observed by high-frequency ultrasound.ResultsUsing high-frequency ultrasound to observe and confirm the bare-handed positioning point and needle-knife operating point, we found that the accuracy rate of bare-handed positioning needle-point was 100.0% (42/42). In the process of needling, the accuracies of needle insertion at the point of small tubercle of humerus and the point of bursa of deltoid muscle were high, which was 95.2% (40/42) and 100.0% (42/42), respectively. However, because of the deviation of the needle depth and direction, the accuracies of needle insertion at the coracoid point and the sulcus point between the humeral tubercles were low, which was 45.2% (19/42) and 4.8% (2/42), respectively.ConclusionsTraditional acupotomy lysis is a commonly used method of needle knife treatment. Using high-frequency ultrasound, it is found that even by experienced needle knife doctors, there may still be positioning deviation when using blind method to insert needles. Because the visualization of clinical needle knife is difficult to be carried out universally due to the limitations of time and technology, it is suggested that high-frequency ultrasound could be used as a visualization teaching tool in the training of needle knife operation to assist the training of blind needle knife operation technology, which may improve the accuracy of blind needle knife operation.
Coding with high-frequency stimuli could alleviate the visual fatigue of users generated by the brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP). It would improve the comfort and safety of the system and has promising applications. However, most of the current advanced SSVEP decoding algorithms were compared and verified on low-frequency SSVEP datasets, and their recognition performance on high-frequency SSVEPs was still unknown. To address the aforementioned issue, electroencephalogram (EEG) data from 20 subjects were collected utilizing a high-frequency SSVEP paradigm. Then, the state-of-the-art SSVEP algorithms were compared, including 2 canonical correlation analysis algorithms, 3 task-related component analysis algorithms, and 1 task discriminant component analysis algorithm. The results indicated that they all could effectively decode high-frequency SSVEPs. Besides, there were differences in the classification performance and algorithms' speed under different conditions. This paper provides a basis for the selection of algorithms for high-frequency SSVEP-BCI, demonstrating its potential utility in developing user-friendly BCI.
Objective To investigate the clinical application of high-frequency color Doppler ultrasound (HFCDU) in detecting perforators in the deep adipose layers for harvesting super-thin anterolateral thigh flap (ALTF). Methods Between August 2019 and January 2023, 45 patients (46 sides) with skin and soft tissue defects in the foot and ankle were treated, including 29 males and 16 females, aged from 22 to 62 years, with an average of 46.7 years. The body mass index ranged from 19.6 to 36.2 kg/m2, with an average of 23.62 kg/m2. The causes of injury included traffic accident injury in 15 cases, heavy object crush injury in 20 cases, mechanical injury in 8 cases, heat crush injury in 1 case, and chronic infection in 1 case. There were 20 cases on the left side, 24 cases on the right side, and 1 case on both sides. After thorough debridement, the wound size ranged from 5 cm×4 cm to 17 cm×11 cm. All patients underwent free super-thin ALTF transplantation repair. HFCDU was used to detect the location of the perforators piercing the deep and superficial fascia, as well as the direction and branches of the perforators within the deep adipose layers before operation. According to the preoperative HFCDU findings, the dimensions of the super-thin ALTF ranged from 6 cm×4 cm to 18 cm×12 cm. The donor sites of the flaps were directly sutured. Results A total of 55 perforators were detected by HFCDU before operation, but 1 was not found during operation. During operation, a total of 56 perforators were found, and 2 perforators were not detected by HFCDU. The positive predictive value of HFCDU for identifying perforator vessels was 98.2%, and the sensitivity was 96.4%. Among the 54 perforators accurately located by HFCDU, the orientation of the perforators in the deep adipose layers was confirmed during operation. There were 21 perforators (38.9%) traveled laterally and inferiorly, 12 (22.2%) traveled medially and inferiorly, 14 (25.9%) traveled laterally and superiorly, 5 (9.3%) traveled medially and superiorly, and 2 (3.7%) ran almost vertically to the body surface. Among the 54 perforators accurately located by HFCDU, 35 were identified as type 1 perforators and 12 as type 2 perforators (HFCDU misidentified 7 type 2 perforators as type 1 perforators). The sensitivity of HFCDU in identifying type 1 perforators was 100%, with a positive predictive value of 83.3%. For type 2 perforators, the sensitivity was 63.2%, and the positive predictive value was 100%. The surgeries were successfully completed. The super-thin ALTF had a thickness ranging from 2 to 6 mm, with an average of 3.56 mm. All super-thin ALTF survived, however, 1 flap experienced a venous crisis at 1 day after operation, but it survived after emergency exploration and re-anastomosis of the veins; 1 flap developed venous crisis at 3 days after operation but survived after bleeding with several small incisions; 3 flaps had necrosis at the distal edge of the epidermis, which healed after undergoing dressing changes. All 45 patients were followed up 6-18 months (mean, 13.6 months). Three flaps required secondary defatting procedures, while the rest had the appropriate thickness, and the overall appearance was satisfactory. Conclusion Preoperative application of HFCDU to detect the perforator in the deep adipose layers can improve the success and safety of the procedure by facilitating the harvest of super-thin ALTF.
Aiming at the problems of obscure clinical auscultation features of pulmonary hypertension associated with congenital heart disease and the complexity of existing machine-aided diagnostic algorithms, an algorithm based on the statistical characteristics of the high-frequency components of the second heart sound signal is proposed. Firstly, an endpoint detection adaptive segmentation method is employed to extract the second heart sounds. Subsequently, the high-frequency component of the heart sound is decomposed using the discrete wavelet transform. Statistical features including the Hurst exponent, Lempel-Ziv information and sample entropy are extracted from this component. Finally, the extracted features are utilized to train an extreme gradient boosting algorithm (XGBoost) classifier, which achieves an accuracy of 80.45% in triple classification. Notably, this method eliminates the need for a noise reduction algorithm, allows for swift feature extraction, and achieves effective multi-classification using only three features. It is promising for early screening of pulmonary hypertension associated with congenital heart disease.