Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective:To retrieve, evaluate, and summarize the evidence on fertility management for cervical cancer patients of childbearing age, providing a basis for clinical medical and nursing staff to carry out fertility management for cervical cancer patients.Methods:The evidence on fertility in cervical cancer patients included clinical decision-making, guidelines, summary of evidence, expert consensus, and systematic review, which were systematically searched on domestic and international evidence-based medicine databases, clinical decision-making systems, guideline websites, professional association websites, medical literature service websites, and databases such as UpToDate, Cochrane Library, British Medical Journal (BMJ) Best Practice, China Guidelines Network, China National Knowledge Infrastructure, WanFang Med Online, China Biology Medicine disc, and VIP. The search period was from database establishment to March 1, 2023. Two researchers who received evidence-based nursing knowledge training independently conducted literature screening and quality evaluation, and jointly discussed with clinical experts on the literature that met the requirements to complete evidence extraction and summary.Results:A total of 11 articles were included, including three clinical decision-making, four guidelines, three expert consensus, and one systematic review. A total of 30 pieces of best evidence were summarized from six aspects, including fertility assessment and safety, fertility preservation methods, fertility preservation surgery and anti-tumor treatment, fertility timing, pregnancy management and follow-up, and special treatment for pregnancy with cervical cancer.Conclusions:The evidence on fertility management for cervical cancer patients of childbearing age provides a basis for clinical medical and nursing staff to provide fertility guidance for cervical cancer patients. In clinical application, factors such as patient willingness and condition should be fully considered, and personalized treatment plans should be provided to maximize patient benefits.

Objective To investigate the clinical effect of remimazolam combined with remifentanil in patients undergoing laryngoscope vocal cord surgery under general anesthesia.Methods A total of 180 patients undergoing laryngoscope vocal cord surgery under general anesthesia from January to August 2022,77 males and 103 females,aged 18-64 years,BMI 18-30 kg/m2,ASA physical status Ⅰ-Ⅲ were select-ed.The patients were divided into four groups using a random number table method:propofol group(group C),remimazolam 1.0 mg·kg-1·h-1 group(group R1),remimazolam 1.5 mg·kg-1·h-1 group(group R2),and remimazolam 2.0 mg·kg-1·h-1 group(group R3),45 patients in each group.Group C main-tained by intravenous infusion of propofol 5 mg·kg-1·h-1,groups R1,R2,and R3 were maintained by intravenous infusion of remimazolam 1.0,1.5,and 2.0 mg·kg-1·h-1,respectively.All patients were combined with remifentanil 0.2 μg·kg-1·min-1.HR,MAP,and BIS were recorded before anesthesia in-duction(T1),immediately after laryngoscope insertion(T2),immediately at the end of anesthesia mainte-nance(T3),and at tracheal extubation(T4).The onset time of sedation,awakening time,sedation-agita-tion score at extubation and Ramsay score 5 minutes after extubation were recorded.The intraoperative use of ephedrine and nitroglycerin were recorded.The number of injection pain and remedy sedations were recor-ded,the occurrence of adverse reactions such as nausea and vomiting,respiratory depression within 1 hour after extubation,and intraoperative awareness were recorded.Results Compared with group C,MAP at T3,BIS at T2 and T3 were significantly increased,MAP at T4 was significantly decreased,the onset time of sedation was significantly prolonged,the use of ephedrine and the incidence of injection pain were signifi-cantly decreased in group R1(P＜0.05),HR and MAP were significantly decreased at T2 and T4,MAP was significantly increased at T3,the onset time of sedation,awakening time,extubation time were signifi-cantly prolonged,the use of ephedrine and the incidence of injection pain were significantly reduced in group R2(P＜0.05),HR and MAP were significantly decreased at T2 and T4,the onset time of sedation,awakening time,extubation time were significantly prolonged,Ramsay score was significantly increased in group R3(P＜0.05).Compared with group R1,HR and MAP were significantly decreased at T2 and T4,BIS was significantly decreased at T2 and T3,the awakening time and extubation time were significantly pro-longed in group R2(P＜0.05),HR at T2 and T4,MAP at T2-T4,BIS at T2 and T3 were significantly de-creased,the awakening time and extubation time were significantly prolonged,Ramsay score was significant-ly increased in group R3(P＜0.05).Compared with group R2,MAP at T3 was significantly decreased and Ramsay score was significantly increased in group R3(P＜0.05).There were no significantly differences between the rates of nitroglycerin usage,rescue sedation,nausea and vomiting,and respiratory depression in the four groups.Conclusion Remimazolam can be safely used for anesthesia induction and maintenance in laryngoscope vocal cord surgery.The maintenance of remimazolam 1.5 mg·kg-1·h-1 combined with remifentanil can better maintain the hemodynamics stability during the surgery than remimazolam 1.0 and 2.0 mg·kg-1·h-1.

Objective:To understand the potential categories of self-efficacy in stress injury management of nurses in operating room and analyze the characteristics of different categories of nurses.Methods:A cross-sectional survey was conducted from June to August 2022. A total of 469 operating room nurses from 12 Grade A hospitals in Guangxi, Sichuan, Guizhou, Yunnan, Shanxi, Xinjiang and Chongqing were selected by convenient sampling method as subjects. General data questionnaire, proactive personality Inventory, Caring behavior Inventory, transformational leadership inventory, nursing clinical Decision scale and nurses stress injury management self-efficacy scale were used to investigate. Potential profile was used to analyze nurses' self-efficacy in stress injury management, and multiple Logistic regression was used to analyze different potential factors.Results:The self-efficacy of nurses in the management of stress injury in operating room could be divided into three potential profiles: poor self-efficacy group (23.9%, 112/469), medium self-efficacy group (33.0%, 155/469) and good self-efficacy group (43.1%, 202/469). Proactive personality, caring behavior, transformational leadership, nursing clinical decision-making and educational background were the factors influencing self-efficacy of operating room nurses in stress injury management (all P<0.05). Conclusions:There are three potential profiles of self-efficacy in the management of stress injury in operating room nurses. Nursing managers can give targeted intervention strategies according to different characteristics of nurses to improve their self-efficacy.

Objective:To develop dynamic management strategies for intraoperative acquired pressure injuries (IAPI) in neurosurgery patients and evaluate their implementation effects, so as to provide constructive suggestions for the management of IAPI.Methods:This study was conducted by a non-synchronous before and after control study. From January 2021 to December 2022, 220 patients undergoing neurosurgery in the Second Affiliated Hospital of Guilin Medical College were conveniently selected as the study objects, and divided into the control group and the observation group with 110 patients in each group according to the time of operation. The control group was given routine nursing measures to prevent IAPI, and the observation group was given dynamic management program based on timing theory on bisis of routine nursing. The score of preoperative stress injury,incidence of IAPI and the self-efficacy scores of nurses in the management of stress injury in operating room were compared between the two groups.Results:Before intervention, the scores of preoperative stress injury in control group and observation group were (14.69 ± 2.93) points and (14.78 ± 2.89) points, respectively, with no statistical significance ( t=-0.23, P>0.05).After the intervention, the incidence of IAPI was 3.64%(4/110) in the control group and 0 in the observation group, and the difference was statistically significant ( χ2=4.07, P<0.05). The self-efficacy scores of nurses in the management of stress injury before and after intervention were (29.13 ± 4.87) and (36.41 ± 5.83), respectively, and the difference was statistically significant ( t=-6.21, P<0.05). Conclusions:The implementation of dynamic management strategy of IAPI can effectively reduce the incidence of IAPI in neurosurgery patients and improve the self-efficacy of nurses in operating room.

Feature extraction methods and classifier selection are two critical steps in heart sound classification. To capture the pathological features of heart sound signals, this paper introduces a feature extraction method that combines mel-frequency cepstral coefficients (MFCC) and power spectral density (PSD). Unlike conventional classifiers, the adaptive neuro-fuzzy inference system (ANFIS) was chosen as the classifier for this study. In terms of experimental design, we compared different PSDs across various time intervals and frequency ranges, selecting the characteristics with the most effective classification outcomes. We compared four statistical properties, including mean PSD, standard deviation PSD, variance PSD, and median PSD. Through experimental comparisons, we found that combining the features of median PSD and MFCC with heart sound systolic period of 100-300 Hz yielded the best results. The accuracy, precision, sensitivity, specificity, and F1 score were determined to be 96.50%, 99.27%, 93.35%, 99.60%, and 96.35%, respectively. These results demonstrate the algorithm's significant potential for aiding in the diagnosis of congenital heart disease.
Humans ; Heart Sounds ; Neural Networks, Computer ; Algorithms ; Heart Defects, Congenital

Heart sound analysis is significant for early diagnosis of congenital heart disease. A novel method of heart sound classification was proposed in this paper, in which the traditional mel frequency cepstral coefficient (MFCC) method was improved by using the Fisher discriminant half raised-sine function (F-HRSF) and an integrated decision network was used as classifier. It does not rely on segmentation of the cardiac cycle. Firstly, the heart sound signals were framed and windowed. Then, the features of heart sounds were extracted by using improved MFCC, in which the F-HRSF was used to weight sub-band components of MFCC according to the Fisher discriminant ratio of each sub-band component and the raised half sine function. Three classification networks, convolutional neural network (CNN), long and short-term memory network (LSTM), and gated recurrent unit (GRU) were combined as integrated decision network. Finally, the two-category classification results were obtained through the majority voting algorithm. An accuracy of 92.15%, sensitivity of 91.43%, specificity of 92.83%, corrected accuracy of 92.01%, and F score of 92.13% were achieved using the novel signal processing techniques. It shows that the algorithm has great potential in early diagnosis of congenital heart disease.
Humans ; Heart Sounds ; Algorithms ; Neural Networks, Computer ; Heart Defects, Congenital/diagnosis* ; Signal Processing, Computer-Assisted

Automatic classification of heart sounds plays an important role in the early diagnosis of congenital heart disease. A kind of heart sound classification algorithms based on sub-band envelope feature and convolution neural network was proposed in this paper, which did not need to segment the heart sounds according to cardiac cycle accurately. Firstly, the heart sound signal was divided into some frames. Then, the frame level heart sound signal was filtered with Gammatone filter bank to obtain the sub-band signals. Next, the sub-band envelope was extracted by Hilbert transform. After that, the sub-band envelope was stacked into a feature map. Finally, type Ⅰ and type Ⅱ convolution neural network were selected as classifier. The result shown that the sub-band envelope feature was better in type Ⅰ than type Ⅱ. The algorithm is tested with 1 000 heart sound samples. The test results show that the overall performance of the algorithm proposed in this paper is significantly improved compared with other similar algorithms, which provides a new method for automatic classification of congenital heart disease, and speeds up the process of automatic classification of heart sounds applied to the actual screening.
Algorithms ; Heart ; Heart Defects, Congenital/diagnosis* ; Heart Sounds ; Humans ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

Heart sound segmentation is a key step before heart sound classification. It refers to the processing of the acquired heart sound signal that separates the cardiac cycle into systolic and diastolic, etc. To solve the accuracy limitation of heart sound segmentation without relying on electrocardiogram, an algorithm based on the duration hidden Markov model (DHMM) was proposed. Firstly, the heart sound samples were positionally labeled. Then autocorrelation estimation method was used to estimate cardiac cycle duration, and Gaussian mixture distribution was used to model the duration of sample-state. Next, the hidden Markov model (HMM) was optimized in the training set and the DHMM was established. Finally, the Viterbi algorithm was used to track back the state of heart sounds to obtain S
Algorithms ; Electrocardiography ; Heart Sounds ; Markov Chains ; Normal Distribution

Objective:To explore the clinical effect of multidisciplinary cooperative intervention in improving self-management and improving fluid retention in the elderly patients with chronic heart failure.Methods:Totally 130 cases of the elderly patients with chronic heart failure from January to December 2018 were enrolled and were divided into control group and observation group with 65 cases randomly. The control group received routine nursing instruction and telephone follow-up. The observation group was given multidisciplinary team guidance to patients self-management in addition to routine nursing instruction and telephone follow-up. After 3 months, the self-management and fluid retention of the two groups were compared.Results:After 3 months of intervention, the scores and total scores of the observation group in the four dimensions of drug management, diet management, psychological and social adaptation management, symptom management were 19.43±0.71,11.51±0.59,19.07±0.65,25.24±1.31, 72.65±7.16, the control group was 11.09±3.40, 6.05±1.71, 12.73±2.49, 15.72±4.18, 46.35±7.83. The scores and total scores of the observation group were better than those of the control group ( t value was 4.835-13.727, all P < 0.05).After intervention for 3 months, the proportion of severe edema, moderate edema and mild edema in the observation group was 4.61% (3/65), 13.85% (9/65), 81.54% (53/65), respectively, and the control group was 38.46% (25/65), 52.31% (34/65) and 9.23% (6/65) respectively. The degree of fluid retention in the observation group was better than that in the control group ( Z value was -2.373, all P < 0.05). Conclusion:Multidisciplinary cooperative intervention can improve self-management and improve fluid retention in elderly patients with chronic heart failure.