ObjectiveTo enhance the management of occupational exposure, improve post-exposure reporting, promote post-exposure follow-up, reduce blood-borne infections caused by exposure, and ensure occupational safety among medical staff by using comprehensive measures based on nosocomial infection management system.MethodsAll the reported cases of occupational exposure were retrospectively collected from August 2012 to July 2018. The cases were divided into the control group (from August 2012 to July 2015) in which the data were reported in paper, and the observation group (from August 2015 to July 2018) in which the data were reported by nosocomial infection management system. The report and follow up results of occupational exposure in the two groups were compared and analyzed.ResultsAfter three years application of nosocomial infection management system, the occupational exposure report increased 95.8% (increased from 16.7 cases per year to 32.7 cases per year); the follow-up ratio of occupational exposure after one month,3 months and 6 months increased from 65.0% to 93.3% (χ2=15.184, P<0.001), 45.0% to 73.3% (χ2=9.033, P=0.003), and 25.0% to 53.3% (χ2=8.522, P=0.004), respectively.ConclusionApplication of nosocomial infection management system can increase the report of occupational exposure and the follow-up ratio of occupational exposure significantly.
Surgery is the preferred treatment for early esophageal cancer. Minimally invasive esophagectomy (MIE) can significantly reduce the incidence of postoperative complications and mortality, but due to the complex esophageal anatomy, intraoperative esophageal exposure, separation, anastomosis and lymph node dissection are difficult. The da Vinci surgical system provides a 3D vision and a more flexible as well as stable robotic arm, which is very helpful in completing fine surgical procedures. Robot-assisted minimally invasive esophagectomy(RAMIE) has been carried out in a number of countries, including China. Robot-assisted Ivor-Lewis esophagectomy (RAILE) is a transthoracic approach of robots developed in recent years. This paper summarizes the current researches on RAILE.
目的 評價鹽酸氨基葡萄糖治療膝骨關節炎的療效。 方法 將2012年1月－5月收治的150例膝骨關節炎患者隨機分為A、B、C組。A組給予鹽酸氨基葡萄糖治療，B組給予碳酸鈣D3片治療，C組給予鹽酸氨基葡萄糖聯合碳酸鈣D3片治療，療程8周。3組患者膝關節疼痛發作時服用塞來昔布并記錄用量。比較試驗前后3組患者骨關節炎指數評分（WOMAC）以及第1、8周塞來昔布用量變化情況。 結果 3組患者WOMAC總分、疼痛程度評分、關節僵硬程度評分、日常活動困難程度評分改善值比較，差異均無統計學意義。經過8周治療，塞來昔布每周用量減少值A、B、C組分別為（0.41 ± 0.17）、（0.16 ± 0.22）、（0.46 ± 0.19）g，A、C組高于B組（P＜0.01），A、C組每周用量減少值差異無統計學意義（P＞0.05）。 結論 短期使用鹽酸氨基葡萄糖治療膝骨關節炎，在關節疼痛、僵硬及功能改善方面并不優于碳酸鈣D3片，但可通過減少非甾體抗炎藥物用量，使患者獲益。
【Abstract】ObjectiveTo study the effects of endothelin (ET) and Xuesaitong injection on hepatic, renal and myocardial tissues after bile duct ligation (BDL) in rabbits. MethodsSeventytwo rabbits were randomly divided into three groups: BDL group (24 rabbits), BDL+Xuesaitong injection group (24 rabbits), and sham operation group (24 rabbits). Each group was subdivided into four subgroups of postoperative 3, 6, 9 and 12 d (6 rabbits in each subgroup). Automatic biochemical analysis equipment was used to detect the levels of serum TBIL, ALT, BUN and Crea. The levels of ET in plasma, hepatic, renal and myocardial tissues were measured with radioimmunological method. ResultsThe levels of ET in plasma, hepatic, renal and myocardial tissues in both BDL group and BDL+Xuesaitong injection group were higher than those of sham operation group (P＜0.01). The levels of ET in plasma and tissues of BDL+Xuesaitong group were lower than those in BDL group (P＜0.05). ConclusionObstructive jaundice can lead to an increase of ET in plasma, hepatic, renal and myocardial tissues, the level of ET increases with the time of obstruction. Xuesaitong injection may play a protective role in the injury of hepatic, renal and myocardial tissues after obstruction by decreasing the level of ET in plasma and tissues.
Objective To evaluate the effect of ECRS management model on the quality of prevention and control of hospital infection with multidrug-resistant organisms (MDROs). Methods The data related to the prevention and control of MDROs in the First Hospital of Nanchang in 2020 and 2021 were retrospectively collected. The hospital implemented routine MDRO infection prevention and control management in accordance with the Expert Consensus on the Prevention and Control of Multi-drug Resistant Bacteria Nosocomial Infection in 2020. On this basis, the hospital applied the four principles of the ECRS method to cancel, combine, rearrange and simplify the MDRO infection prevention and control management. The detection rate of MDROs on object surfaces, the incidence rate of hospital infection of MDROs, the compliance rate of hand hygiene, the implementation rate of contact isolation prevention and control measures, and the pass rate of MDRO infection prevention and control education assessment were analyzed and compared between the two years. Results The detection rate of MDROs on the surfaces in 2021 was lower than that in 2020 (9.39% vs. 31.63%). The hospital-acquired MDRO infection rate in 2021 was lower than that in 2020 (1.18% vs. 1.46%). The hand hygiene compliance rates of medical staff, workers and caregivers in 2021 were higher than those in 2020 (90.99% vs. 78.63%, 73.51% vs. 45.96%, 70.96% vs. 33.71%). The implementation rate of contact isolation prevention and control measures in 2021 was higher than that in 2020 (93.31% vs. 70.79%). The qualified rates of MDRO infection prevention and control education in medical personnel, workers and caregivers in 2021 were higher than those in 2020 (96.57% vs. 81.31%, 76.47% vs. 47.95%, 73.17% vs. 34.19%). All the differences above were statistically significant (P<0.05). Conclusion ECRS management mode can improve the execution and prevention level of MDRO hospital infection prevention and control, and reduce the incidence of MDRO hospital infection.
【Abstract】ObjectiveTo develop a new singletube polymerase chain reaction amplification (ST Amp) protocol for the efficient sequencing-based typing (SBT) of human leukocyte antigen DRB1（HLA-DRB1）.MethodsA set of 7 group-specific exonic 5′ amplification primers and a single generic 3′ primer were included together in a single PCR mix to facilitate a single PCR amplification per sample for HLA-DRB1 typing.ResultsAll samples were successfully typed, the typing result was accurate and repeatable.ConclusionST Amp technique has resulted in the ability to perform high-resolution, high-specificity and high-throughput HLA-DRB1 typing by DNA sequencing.
Objective To investigate the factors influencing the occurrence of postoperative pulmonary complications (PPCs) in liver transplant recipients and to construct Nomogram model to identify high-risk patients. Methods The clinical data of 189 recipients who underwent liver transplantation at the General Hospital of Eastern Theater Command from November 1, 2019 to November 1, 2022 were retrospective collected, and divided into PPCs group (n=61) and non-PPCs group (n=128) based on the occurrence of PPCs. Univariate and multivariate logistic regression analyses were used to determine the risk factors for PPCs, and the predictive effect of the Nomogram model was evaluated by receiver operator characteristic curve (ROC) and calibration curve. Results Sixty-one of 189 liver transplant patients developed PPCs, with an incidence of 32.28%. Univariate analysis results showed that PPCs were significantly associated with age, smoking, Child-Pugh score, combined chronic obstructive pulmonary disease (COPD), combined diabetes mellitus, prognostic nutritional index (PNI), time to surgery, amount of bleeding during surgery, and whether or not to diuretic intraoperatively (P<0.05). Multivariate logistic regression analysis showed that age [OR=1.092, 95%CI (1.034, 1.153), P=0.002], Child-Pugh score [OR=1.575, 95%CI (1.215, 2.041), P=0.001], combined COPD [OR=4.578, 95%CI (1.832, 11.442), P=0.001], combined diabetes mellitus [OR=2.548, 95%CI (1.024, 6.342), P=0.044], preoperative platelet count (PLT) [OR=1.076, 95%CI (1.017, 1.138), P=0.011], and operative time [OR=1.061, 95%CI (1.012, 1.113), P=0.014] were independent risk factors for PPCs. The prediction model for PPCs which constructed by using the above six independent risk factors in Nomogram had an area under the ROC curve of 0.806. Hosmer and Lemeshow goodness of fit test (P=0.129), calibration curve, and decision curve analysis showed good agreement with Nomogram model. Conclusion The Nomogram model constructed based on age, Child-Pugh score, combined COPD, combined diabetes mellitus, preoperative PLT, and time of surgery can better identify patients at high risk of developing PPCs after liver transplantation.
Objective To decrease the operative difficulty, with the purpose of looking for an orthotopic liver autotransplantation model which not only materializes the liver transplantation but also possesses higher survival rate. Methods This model was established via portal vein perfusion in thirty rats, and from which the result of the liver after perfusion, the operative time and the survival rate were observed. Liver tissues were researched at 24 h after operation under the light microscope. Results This model was easy to be perfused, the operative time was (48±3.0) min and the survival rate was 96.7% (29/30). The structure of hepatic tissue was basically normal with a little hydropic degeneration under the light microscope. Few erythrocytes residual occurred in the interlobular arteries under the light microscope. Conclusion The orthotopic liver autotransplantation model via portal vein perfusion has an exclusively blockage pattern which possesses a higher survival rate. It prevents the injury of immunological rejection and purely reflects the hepatic ischemia-reperfusion. But it is better to be applied in the non-hepatic artery anastomosis or the research nothing to do with the hepatic artery because the hepatic artery does not have sufficient perfusion.
ObjectiveTo explore the location and characteristics of postoperative recurrence of papillary thyroid carcinoma. MethodsThe clinical data of 96 patients who underwent reoperation for papillary thyroid cancer at the Affiliated Cancer Hospital of Zhengzhou University from January 2017 to March 2024 were retrospectively analyzed. ResultsOut of 96 patients, 3 had thyroid recurrence, 89 had lymph node recurrence, and 4 had thyroid and lymph node recurrence. There were 69 cases of single recurrence and 27 cases of multiple recurrence. Ten cases underwent lobectomy and lateral area cleaning, 8 cases underwent central area cleaning, 33 cases underwent lateral area cleaning, and 45 cases underwent central area+lateral area cleaning. Postoperative pathological examination revealed that there was lymph node metastasis in 93 cases (16 cases in the central region, 44 cases in the lateral region, and 33 cases in both the central and lateral regions), with 3 cases remaining non metastatic; 58 cases had extracapsular invasion of lymph nodes. Compared with patients with multiple relapses, patients with single recurrence had younger age (t=–3.385, P=0.001), lower incidence of gross extracapsular invasion of lymph nodes during surgery (χ2=6.970, P=0.008), higher number of metastatic lymph nodes (t=4.034, P=0.001), and higher rate of lymph node metastasis in zones Ⅱ, Ⅲ, and Ⅳ (χ2=8.142, P=0.004; χ2=6.357, P=0.012; χ2=12.547, P<0.001). ConclusionsPostoperative recurrence of papillary thyroid cancer is mainly due to lymph node recurrence. The advanced age and the visible lymph node extracapsular invasion may increased risk of postoperative recurrence of papillary thyroid cancer. Lymph node metastasis in the central region is a possible cause of multiple relapses and surgeries.
With the change of medical diagnosis and treatment mode, the quality of medical image directly affects the diagnosis and treatment of the disease for doctors. Therefore, realization of intelligent image quality control by computer will have a greater auxiliary effect on the radiographer’s filming work. In this paper, the research methods and applications of image segmentation model and image classification model in the field of deep learning and traditional image processing algorithm applied to medical image quality evaluation are described. The results demonstrate that deep learning algorithm is more accurate and efficient than the traditional image processing algorithm in the effective training of medical image big data, which explains the broad application prospect of deep learning in the medical field. This paper developed a set of intelligent quality control system for auxiliary filming, and successfully applied it to the Radiology Department of West China Hospital and other city and county hospitals, which effectively verified the feasibility and stability of the quality control system.