Acute respiratory distress syndrome is a clinical syndrome caused by many reasons, which is characterized by intractable hypoxemia. Its etiology is complex and its mortality is high. Lung biopsy techniques can give accurate histopathological diagnosis to such patients to guide treatment and improve prognosis. At present, lung biopsy techniques include surgical lung biopsy, transbronchial lung cryobiopsy, transbronchial lung biopsy and percutaneous lung biopsy. The diagnostic rate of surgical lung biopsy is high, but it is traumatic and difficult to implement. The diagnostic rate of transbronchial cryobiopsy is relatively high, and the complications are acceptable. Transbronchial lung biopsy is minimally invasive but the diagnostic rate is low. The diagnostic rate of percutaneous lung biopsy is relatively high, and the complications are relatively few. For patients with acute respiratory distress syndrome who need lung biopsy, it is very important to choose different surgical procedures according to their effectiveness, safety and applicability.
Objective To analyze the implementation of multi-disciplinary team (MDT) clinic for thyroid eye disease (TED) and explore the significance of TED MDT clinic. Methods A retrospective analysis was conducted on the medical records of patients who visited TED MDT clinic at West China Hospital of Sichuan University between December 1, 2022 and November 30, 2024. Patient condition indicators were collected and MDT outpatient operation indicators were statistically analyzed. Results During the study period, a total of 696 patients were admitted to the TED MDT clinic, with an average age of (51.14±12.00) years. All patients were diagnosed with TED and showed symptoms of extraocular muscle involvement and restricted eye movement. According to the NOSPECS clinical grading system, all patients were classified as grade 4 or above. Among them, 693 patients’ orbital enhanced MRI showed that the extraocular muscles were in an inflammatory active phase, and 690 patients received periarbital injection of triamcinolone acetonide, precise orbital radiation therapy, and thyroid function regulation. During the research period, TED MDT clinic received a total of 90 visits, with an average of 7.73 patients per visit. The patient satisfaction rate was 99.67%, and there were no cases of experts being late, absent, or doctors with insufficient qualifications to participate in discussions. ConclusionThe TED MDT clinic has been well developed, and the experts within the team attach great importance to it, making it valuable for continued large-scale promotion.
Objective To investigate the clinical significance of intra-abdominal pressure measure in patients with liver transplantation by summarizing the data of 143 cases. Methods Intra-abdominal pressure was indirectly measured by urinary bladder pressure. Intra-abdominal pressure over 10 cm H2O (1 cm H2O=0.098 kPa) was regarded as intra-abdominal hypertension (IAH), and 10＜pressure≤15 cm H2O as gradeⅠ, 15＜pressure≤25 cm H2O as grade Ⅱ, 25＜pressure≤35 cm H2O as grade Ⅲ, over 35 cm H2O as grade Ⅳ. The parameters of circulatory system, respiratory system, renal function and the postoperative intra-abdominal pressure for 7 days were recorded to every patient, and the parameters of each grade IAH group were contrasted with non-IAH group. ResultsAmong 143 cases, 45 cases were IAH (31.5%), in which 18 cases belonged to grade Ⅰ, 13 cases belonged to grade Ⅱ, 11 cases belonged to grade Ⅲ, while 3 cases belonged to grade Ⅳ. Compared with those in non-IAH group, SCr and BUN significantly increased (P＜0.05, P＜0.01), PaO2 significantly decreased (P＜0.05, P＜0.01) in each grade IAH group; Respiratory frequency (RF), heart rate (HR) and PaCO2 significantly increased (P＜0.05, P＜0.01) in some grade IAH group (HR in grade Ⅱ, Ⅲ and Ⅳ, RF and PaCO2 in grade Ⅲ and Ⅳ). Conclusions Intra-abdominal hypertension would affect liver function by impaired circulatory, respiratory and renal function. So, it is necessary to measure intra-abdominal pressure for patients after liver transplantation, which can help to choose appropriate treatment.
The national policy on high-quality development of hospitals proposes to strengthen information technology support and actively promote the multi-disciplinary team (MDT) model. How to use the “Internet Plus” technology and operation mode to promote MDT communication and improve the efficiency of diagnosis and treatment in the digital and intelligent information age is a direction worthy of attention and research. This paper systematically reviews the current development status of MDT informatization construction at home and abroad. Based on the current challenges and opportunities, it makes prospects for the future development of MDT informatization construction from the aspects of strengthening the digital and intelligent support of MDT operation, connecting MDT “information silos”, and deepening the construction of MDT supervision and effect evaluation system, etc.
Rare diseases are a kind of diseases with very low incidence and prevalence. They are difficult to diagnose, treat and use drugs. Multi-disciplinary team (MDT) has become the main mode of modern medical diagnosis and treatment. Many hospitals at home and abroad have begun to apply MDT in the diagnosis and treatment of rare diseases. This paper introduces the MDT mode of rare diseases at home and abroad, focusing on the mode, work flow and content of the MDT service system for rare diseases in West China Hospital of Sichuan University, and discusses the problems and optimization suggestions of the current construction of the MDT service system for rare diseases. The purpose is to provide some reference for the establishment of MDT model of rare diseases in China.
Randomized controlled trials (RCTs) are often limited because of ethical or operational reasons. Quasi-experimental studies could be an alternative to RCTs to make causal inferences without randomization by controlling the confounding effects of the study. This paper introduced the general statistical analysis methods of quasi-experimental design through basic ideas, characteristics, limitations and applications in medicine, including difference-in-difference models, instrumental variables, regression discontinuity design, interrupted time series, and so on, and to provide references for future research.
Rare diseases are a collective term for a category of diseases with extremely low incidence or prevalence rates. They are characterized by a variety of diseases, difficult diagnosis, complex conditions, etc. Only about 5% of rare diseases have treatment drugs. They impose a heavy burden on society and the families of rare diseases patients, and are a major global challenge. Rare diseases medical talents are an important component of the development of the rare diseases industry. After years of practical exploration, the construction of rare diseases medical talent training systems at home and abroad has gradually achieved results. This article analyzes the current situation of medical talent cultivation in the field of rare diseases, and proposes thoughts and suggestions for the cultivation of rare diseases medical talents in China, providing reference for the construction of the rare patient talent system.
Objective To sort out the policies related to rare diseases in China, analyze and summarize the focus and potential problems of relevant policy texts, and provide decision-making references for the subsequent formulation and improvement of policies in the field of rare diseases in China. Methods We searched for relevant policy documents in the field of rare diseases at the national level from 2018 to 2023, constructed a three-dimensional analysis framework based on content analysis of “policy tool-stakeholder-policy strength” in the field of rare diseases in China, and conducted cross-analysis between policy tools, stakeholders, and policy strength. Results Finally, 39 policy texts were included. There were 112 policy tool dimension codes, with environment-based, supply-based, and demand-based tools accounting for 62.5%, 30.36%, and 7.14%, respectively. There were 229 stakeholder dimension codes, including 42.79% for government departments, 19.65% for medical institutions, 19.65% for corporate units, and 17.90% for patients and their families. The average score for policy strength was 2.2 points. Cross-analysis showed that government departments had the highest proportion in the dimensions of supply-based, environment-based and demand-based tools (45.76%, 43.45%, 32.00%, respectively). The policy strength of environmental tools was the strongest (124 points). The policy strength of government departments was the strongest (78 points). Conclusions There is a certain imbalance in the design and configuration of rare disease policy tools in China, and there is uneven distribution of rare disease policies among stakeholders. Although the overall effectiveness of policies in the field of rare diseases is showing a positive growth trend, there may be a mismatch between policy tools, stakeholders, and policy strength.
Objective To elaborate on the statistical analysis methods for evaluating the accuracy of imaging diagnostic tests in a multiple-reader multiple-case (MRMC) design through formula derivation and real cases. Methods This study consisted of two parts: theoretical derivation and a real case study. The theoretical part discussed in detail the principles and procedures of MRMC statistical analysis methods, particularly the Obuchowski-Rockette (OR) and Dorfman-Berbaum-Metz (DBM) methods. The real case included 100 subjects, of whom 67 had disease. Four readers interpreted all the cases based on both traditional film imaging methods and digital imaging methods. OR and DBM methods were employed for data analysis. Results The real case showed that the OR and DBM methods had a high degree of consistency, with only slight differences in the confidence intervals. Conclusion It is recommended to use the OR and DBM methods for the statistical analysis of imaging diagnostic test accuracy, ensuring that the impact of reader factors on the evaluation results is fully considered. The results from the OR and DBM methods are relatively similar; when applying these methods in practice, one should consider the specific characteristics of the data and the research design to choose the appropriate analysis method. Besides, there are still challenges when applying the OR and DBM methods, such as software implementation and missing data handling, which require further exploration.
