ObjectiveTo explore the application effect of standardized management on video-electroencephalogram (VEEG) monitoring.MethodsIn January 2018, a multidisciplinary standardized management team composed with doctors, technicians, and nurses was established. The standardized management plan for VEEG monitoring from outpatient, pre-hospital appointment, hospitalization and post-discharge follow-up was developed; the special quilt for epilepsy patients was designed and customized, braided for the patient instead of shaving head, standardized the work flow of the staff, standardized the health education of the patients and their families, and standardized the quality control of the implementation process. The standardized managemen effect carried out from January to December 2018 (after standardized managemen) was compared with the management effect from January to December 2017 (before standardized managemen).ResultsAfter standardized management, the average waiting time of patients decreased from (2.08±1.13) hours to (0.53±0.21) hours, and the average hospitalization days decreased from (6.63±2.54) days to (6.14±2.17) days. The pass rate of patient preparation increased from 63.14% to 90.09%. The capture rate of seizure onset increased from 73.37% to 97.08%. The accuracy of the record increased from 33.12% to 94.10%, the doctor’s satisfaction increased from 76.34±29.53 to 97.99±9.27, and the patient’s satisfaction increased from 90.04±18.97 to 99.03±6.51. The difference was statistically significant (P<0.05).ConclusionStandardization management is conducive to ensuring the homogeneity of clinical medical care, reducing the average waiting time and the average hospitalization days, improving the capture rate and accuracy of seizures, ensuring the quality of medical care and improving patient’s satisfaction.
Through collecting and synthesizing the paper concerning the method of dealing with heterogeneity in the meta analysis, to introduce the multi-levels statistical models, such as meta regression and baseline risk effect model based on random effects, and random effects model based on hierarchical bayes, and to introduce their application of controlling the meta analysis heterogeneity. The multi-levels statistical model will decompose the single random error in the traditional model to data structure hierarchical. Its fitting effect can not only make the meta-analysis result more robust and reasonable, but also guide clinical issues through the interpretation of association variable.
Objective
To establish a risk prediction model of diabetic retinopathy (DR) for type 2 diabetic patients (T2DM).
Methods
A total of 315 T2DM patients (600 eyes) were enrolled in the study. There were 132 males (264 eyes) and 183 females (366 eyes). The mean age was (67.28±12.17) years and the mean diabetes duration was (10.86±7.81) years. The subjects were randomly assigned to model group and check group, each had 252 patients (504 eyes) and 63 patients (126 eyes) respectively. Some basic information including gender, age, education degree and diabetes duration were collected. The probable risk factors of DR including height, weight, blood pressure, fasting glucose, glycosylated hemoglobin (HbA1c), blood urea, serum creatinine, uric acid, triglyceride, total cholesterol, high-density lipoprotein, low density lipoprotein cholesterol and urinary protein. The fundus photograph and the axial length were measured. Multivariate logistic regression was used to analyze the correlative factors of DR and establish the regression equation (risk model). Receiver operating characteristic (ROC) curves were used to determine the cut-off point for the score. The maximum Youden Index was used to determine the threshold of the equation. The check group was used to check the feasibility of the predictive model.
Results
Among 504 eyes in the model group, 170 eyes were DR and 334 eyes were not. Among 126 eyes in the check group, 45 eyes were DR and 81 eyes were not. Multivariate logistic regression analysis revealed that axial length [β=–0.196, odds ratio (OR)=0.822,P＜0.001], age (β=-0.079,OR=0.924,P＜0.001), diabetes duration (β=0.048,OR=1.049,P=0.001), HbA1c (β=0.184,OR=1.202,P=0.020), urinary protein (β=1.298,OR=3.661,P＜0.001) were correlated with DR significantly and the simplified calculation of the score of DR were as follows:P=7.018–0.196X1–0.079X2+0.048X3+0.148X4+1.298X5 (X1= axial length, X2=age, X3=diabetes duration, X4=glycosylated hemoglobin, X5= urinary protein). The area under the ROC curve for the score DR was 0.800 and the cut-off point of the score was -1.485. The elements of the check group were substituted into the equation to calculate the scores and the scores were compared with the diagnostic threshold to ensure the patients in high-risk of DR. The result of the score showed 84% sensitivity and 59% specificity. ROC curve for the score to predict DR was 0.756.
Conclusion
Axial length, age, diabetes duration, HbA1c and urinary protein have significant correlation with DR. The sensitivity and specificity of the risk model to predict DR are 84.0% and 59.0% respectively. The area under the ROC curve was 0.756.
ObjectiveTo explore the effect of different ventilation modes on pulmonary complications (PCs) after laparoscopic weight loss surgery in obese patients. MethodsThe obese patients who underwent laparoscopic weight loss surgery in the Xiaolan People’s Hospital of Zhongshan from January 2019 to June 2023 were retrospectively collected, then were assigned into pressure-controlled ventilation-volume guaranteed (PCV-VG) group and volume controlled ventilation (VCV) group according to the different ventilation modes during anesthesia. The clinicopathologic data of the patients between the PCV-VG group and VCV group were compared. The occurrence of postoperative PCs was understood and the risk factors affecting the postoperative PCs for the obese patients underwent laparoscopic weight loss surgery were analyzed by multivariate logistic regression analysis. ResultsA total of 294 obese patients who underwent laparoscopic weight loss surgery were enrolled, with 138 males and 156 females; Body mass index (BMI) was 30–55 kg/m2, (42.40±4.87) kg/m2. The postoperative PCs occurred in 63 cases (21.4%). There were 160 cases in the PCV-VG group and 134 cases in the VCV group. The anesthesia time, tidal volume at 5 min after tracheal intubation, peak inspiratory pressure and driving pressure at 5 min after tracheal intubation, 60 min after establishing pneumoperitoneum, and the end of surgery, as well as incidence of postoperative PCs in the PCV-VG group were all less or lower than those in the VCV group (P<0.05). The indicators with statistical significance by univariate analysis in combination with significant clinical indicators were enrolled in the multivariate logistic regression model, such as the smoking history, American Society of Anesthesiologists classification, hypertension, BMI, operation time, forced expiratory volume in 1 second (FEV1), FEV1/forced vital capacity, and intraoperative ventilation mode. It was found that the factors had no collinearity (tolerance>0.1, and variance inflation factor<10). The results of the multivariate logistic regression analysis showed that the patients with higher BMI and intraoperative VCV mode increased the probability of postoperative PCs (P<0.05). ConclusionsFrom the preliminary results of this study, for the obese patients underwent laparoscopic weight loss surgery, the choice of ventilation mode is closely related to the risk of developing postoperative PCs. In clinical practice, it is particularly important to pay attention to the risk of postoperative PCs for the patients with higher degree obesity.
Bone morphogenetic protein (BMPs) has been so far regarded as one of the highly potent osteoinductive growth factors. Recombinant human bone morphogenetic proteins have been utilized extensively in the disciplines of orthopedics, stomatology, etc. For clinical application, BMPs are usually loaded in carriers with a controlled-release system, to maintain concentration to induce de novo bone formation at the desired site. In this article, the research advancements of the carriers and release systems of BMP are reviewed.
Giant thoracic tumor is currently one of the diagnostic and therapeutic challenges of thoracic surgery, with no established guideline or standard for diagnosis and treatment. The quality control of individualized surgical strategy and perioperative management with multi-disciplinary participation is the key to ensure the safety and improve the prognosis of patients. Based on the clinical experience of our institution and others, we hereby discussed and summarized the basic principles, surgical strategies and perioperative management of giant thoracic tumor, aiming to provide a reference of quality control.
Running an infection control regular meeting is an effective way to develop and improve the communication between the infection control team and clinical units. This paper introduces the infection control regular monthly meeting which is held in the last week of each month in a newly-opened branch hospital of a university teaching hospital in China. Through collecting the issues for discussion beforehand, feeding back the surveillance data of last month including nosocomial infection, hand hygiene, multidrug-resistant organisms, occupational exposure, and medical waste, discussing the current infection control issues from each ward and trying to solve them together, and delivering and sharing new knowledge, skills, and information in terms of infection control, the monthly meeting achieves remarkable successes in the aspects of promoting the hospital infection control-related cultural construction, enhancing the supervision and implementation of infection control measures, and running new projects on hospital infection management, etc. Infection control regular monthly meeting builds up a study and work platform, promotes the multidisciplinary and multi-department communication and collaboration, and improves the quality of infection control eventually.
