Progressive ischemic stroke is one of the major diseases damaging the health of Chinese people. Its pathogenesis is complex and there are many influencing factors, but the treatment methods are limited. In recent years, the rapid development of neuroimaging and the results of various clinical trials have been reported in succession, which have made new progress in the clinical diagnosis and treatment of progressive ischemic stroke. This paper summarizes the progress of progressive ischemic stroke, introduces its pathogenesis (including increased intracranial pressure and reduced perfusion pressure, thrombosis progression, hemorrhagic transformation, cerebral edema, and inflammatory response), influencing factors, predictive indicators (including image indicators, biochemical indicators, and molecular biology indicators) and treatment (including admission to “stroke unit”, intravascular treatment, platelet aggregation inhibition treatment, anticoagulation treatment, and general treatment), to provide references for preventing the occurrence and development of progressive ischemic stroke, assessing the condition, guiding treatment and improving the prognosis.
Day surgery is a new medical service model, which has developed rapidly in China because of its advantages of safety, efficiency and resource conservation. However, along with the rapid development in quantity, it also presents contradictions such as the mismatch with the previous surgical quality and safety management model, the urgent need for the unification of the new system of quality and safety evaluation indicators at the national level, and the imbalance in the construction of information technology of medical institutions in China, leading to the new problem of uneven quality control of day surgery. This article constructs a “five-in-one” new system for the quality and safety management of day surgery from the perspective of high-quality development, aiming to provide a theoretical basis for the formulation of relevant policies in China and to promote the safe, efficient, and orderly development of day surgeries.
Bioartificial liver support system (BALSS) provides a new way to treat liver failure and leaves more time for patients who are waiting for liver transplantation. It has detoxification function as well as the human liver, at the same time it can provide nutrition and improve the internal environment inside human body. Bioreactors and hepatocytes with good biological activity are the cores of BALSS which determine the treatment effect. However, in the course of prolonged treatment, the function and activity of hepatocytes might be greatly changed which could influence the efficacy. Therefore, it is very important to detect the status of the hepatocytes in BALSS. This paper presents some common indicators of cell activity, detoxification and synthetic functions, and also introduces the commonly detection methods corresponding to each indicator. Finally, we summarize the application of detection methods of the hepatocyte status in BALSS and discuss its development trend.
ObjectiveTo analyze the risk factors for seizures in patients with autoimmune encephalitis (AE) and to assess their predictive value for seizures. MethodsSeventy-four patients with AE from the First Affiliated Hospital of Xinjiang Medical University from January 2016 to March 2023 were collected and divided into seizure group (56 cases) and non-seizure group (18 cases), comparing the general clinical information, laboratory tests and imaging examinations and other related data of the two groups. The risk factors for seizures in AE patients were analyzed by multifactorial logistic regression, and their predictive value was assessed by receiver operating characteristic (ROC) curves. ResultsThe seizure group had a higher proportion of acute onset conditions in the underlying demographics compared with the non-seizure group (P<0.05). Laboratory data showed statistically significant differences in neutrophil count, calcitoninogen, lactate dehydrogenase, C-reactive protein, homocysteine, and interleukin-6 compared between the two groups (all P<0.05). Multi-factor logistic regression analysis of the above differential indicators showed that increased C-reactive protein [Odds ratio (OR)=4.621, 95% CI (1.123, 19.011), P=0.034], high homocysteine [OR=12.309, 95CI (2.217, 68.340), P=0.004] and onset of disease [OR=4.918, 95% CI (1.254, 19.228), P=0.022] were risk factors for seizures in AE patients, and the area under the ROC curve for the combination of the three indicators to predict seizures in AE patients was 0.856 [95% CI (0.746, 0.966)], with a sensitivity of 73.2% and a specificity of 83.3%. ConclusionHigh C-reactive protein, high homocysteine and acute onset are independent risk factors for seizures in patients with AE, and the combination of the three indices can better predict seizure status in patients.
Objective
To analyze the progress of evaluation indexes for enhanced recovery after surgery (ERAS) model at home and abroad, and to propose suggestions for constructing systematic evaluation model of ERAS.
Methods
Atfirst checked the Chinese and English databases, including Medline, Embase, Sciencedirect, ACP Journal Club, BioMed Central, the Cochrane Central Register of Controlled Trials (CENTRAL), Science Citation Index Expanded, Cochrane Library, NHS Economic Evaluation Database, CNKI, VIP, and Wanfang databases (retrieval time was from January 1997 to December 2017), and then filtered the literatures, excluded duplicate documents, a total of 1 020 English literatures and 786 Chinese literatures were enrolled eventually to make an review.
Results
The literatures showed that, at present, there was no comprehensive and systematic evaluation index system about ERAS at home and abroad. The existing evaluation indexes mainly included the following deficiencies: localization and fragmentation of evaluation indicators, lack of evaluation indicators of ERAS organizational framework and process management, as well as lack of standardized operational definition of evaluation indicators.
Conclusions
The evaluation indexes of ERAS at home and abroad do not constitute a systematic evaluation index system according to scientific principles, which will restrict the standardization of accelerated surgical rehabilitation in our country. To establish a multidimensional and comprehensive quality evaluation index system based on multi-evaluation of hospital, patient, social, and medical management institutions, which covers ERAS organizational structure, process management, and clinical outcomes, is a necessary condition for the development of ERAS model.
Smart wearable devices play an increasingly important role in physiological monitoring and disease prevention because they are portable, real-time, dynamic and continuous.The popularization of smart wearable devices among people under high-altitude environment would be beneficial for the prevention for heart and brain diseases related to high altitude. The current review comprehensively elucidates the effects of high-altitude environment on the heart and brain of different population and experimental subjects, the characteristics and applications of different types of wearable devices, and the limitations and challenges for their application. By emphasizing their application values, this review provides practical reference information for the prevention of high-altitude disease and the protection of life and health.
Glomerular filtration rate (GFR), which can be estimated by Gates method with dynamic kidney single photon emission computed tomography (SPECT) imaging, is a key indicator of renal function. In this paper, an automatic computer tomography (CT)-assisted detection method of kidney region of interest (ROI) is proposed to achieve the objective and accurate GFR calculation. In this method, the CT coronal projection image and the enhanced SPECT synthetic image are firstly generated and registered together. Then, the kidney ROIs are delineated using a modified level set algorithm. Meanwhile, the background ROIs are also obtained based on the kidney ROIs. Finally, the value of GFR is calculated via Gates method. Comparing with the clinical data, the GFR values estimated by the proposed method were consistent with the clinical reports. This automatic method can improve the accuracy and stability of kidney ROI detection for GFR calculation, especially when the kidney function has been severely damaged.
ObjectiveTo evaluate the application value and significance of pulse indicator continuous cardiac output (PiCCO) in perioperative treatment of adult congenital heart disease (ACHD).
MethodsBetween June 2014 and June 2015, 100 adult patients (44 females and 56 males) underwent congenital heart disease operation. Patients were randomly divided into a PiCCO group and an experience treatment (control) group. According to the data of PiCCO detection, the PiCCO group was treated with vasoactive drugs and liquid balance management, the control group was treated by routine monitoring data. The clinical effectiveness of the two groups was compared.
ResultsThe ventilator time, ICU time and length of stay in the PiCCO group were significantly shorter than those in the control group with statistical differences (P=0.02, 0.03, 0.04). The drug dosage (dopamine, milrinone) during ICU were higher in the PiCCO group than those in the control group (P<0.01, P=0.04). There was no mortality in both groups. No significant difference was found in the incidence of postoperative complications between the two groups (P>0.05).
ConclusionThe application of PiCCO in the perioperative treatment of adult congenital heart disease can promote the early recovery of ACHD patients, and has a certain safety and effectiveness. Actively vasoactive drugs application to maintain circulation early in ICU has positive effect on the patient's recovery.
Objective To construct a multi-dimensional risk assessment system and scale for the prevention and control risk of respiratory infectious diseases in general hospitals, and make evaluation and early warning. Methods Through the collection of relevant literature on the prevention and control of respiratory infectious diseases during the period from January 1st, 2020 to December 31st, 2022, the articles related to the risk assessment of respiratory infectious diseases such as severe acute respiratory syndrome, COVID-19 and influenza A (H1N1) were screened, and the Delphi method was used to evaluate the articles and establish an indicator system. The normalized weight and combined weight of each item were calculated by analytic hierarchy process. The technique for order preference by similarity to the ideal solution method was used to calculate the risk composite index of 38 clinical departments in a tertiary general hospital in Jiangxi Province in December 2022. Results A total of 16 experts were included, including 4 with senior titles, 8 with associate senior titles, and 4 with intermediate titles. After two rounds of Delphi consult, a total of 4 first-level indicators, 11 second-level indicators, and 38 third-level indicators of risk assessment for the prevention and control of respiratory infectious diseases were determined. The reliability and validity of the scale were good. The top three items with the largest combined weights in the scale were spread by aerosol, spread by respiratory droplet, and commonly used instruments (inspection instruments and monitoring equipment). After a comprehensive analysis on the 38 departments, the top 10 departments in the risk index were the departments of medical imaging, pediatrics, ultrasound, cardiac and vascular surgery, infection, emergency, respiratory and critical care, general medicine, otolaryngology and neck surgery, stomatology, and obstetrics. Conclusions This study constructed the risk assessment scale of respiratory infectious diseases in general hospitals, and the scale has good reliability and validity. The use of this scale for risk assessment of general hospitals can provide a theoretical basis for the risk characteristics of prevention and control of respiratory infectious diseases in general hospitals.
ObjectiveNew Rural Cooperative Medical Systems (NCMS) has been constructed as a financial protection for rural population commencing 2003. With the development of NCMS, there were quite a few management models existing across the nation. In order to assess the management alternatives, we try to explore how to set up a set of indicators to analysis management effect of different management models.
MethodsBy literature review, we sorted all qualitative indicators into 8 types. Delphi and Multi-Attribute utility theories were applied to construct the appraisal indicators, including shaping first and second level indicators and assigning the weights for each type of indicators.
ResultsWe managed to identify the indicator system which was comprised of 4 types of first level indicators, aiming at claim, manament process, transparency and supervision on accredited hospitals. Besides, there were 9 sub-indicators.
ConclusionThe evaluation indicators are constructed for future assessment on management effect of rural health insurance.
