ObjectiveTo evaluate the efficacy and safety of dupilumab in the treatment of moderate-to-severe asthma. MethodsA retrospective study was conducted among patients with moderate-to-severe asthma who were treated with dupilumab and inhaled corticosteroids (ICS) combined with long acting beta-agonist (LABA) in Department of Respiratory, Beijing Chao-yang Hospital from May, 2021 to April, 2022. Paired t-test or Mann-Whitney U test was applied to compare the Asthma Control Test (ACT) scores, number of acute exacerbations per year, type 2 inflammatory biomarkers, blood total IgE and results of pulmonary function tests, including forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV1 as percentage of predicted (FEV1%pred), FEV1/FVC, peak expiratory flow (PEF), maximal expiratory flows (MEF) at 75% (MEF75), 50% (MEF50) and 25% (MEF25) of the vital capacity PEF, and maximal mid-expiratory flow (MMEF) or FEF25%-75%, at the end of follow-up with those before treatment. Adverse reactions were recorded during the treatment. ResultsA total of 47 patients with moderate-to-severe asthma were included in the study, among them 17 and 30 received treatment with dupilumab or ICS/LABA. At the time of 12 months after treatment with dupilumab, the patients' ACT score and pulmonary function tests were significantly increased compared with those at the baseline. In contrast, patients' fractional exhaled nitric oxide (FeNO), blood total IgE, blood basophil counts and annual acute exacerbations were significantly decreased in comparison with those at the baseline. The doses of oral corticosteroids added by 7 patients at the baseline was gradually reduced and finally discontinued after treatment of dupilumab. There were 4, 2, 1 and 1 patients developed injection site reaction, pruritus, erythema and fatigue, respectively, which were mild and recovered without treatment. There was no serious adverse reaction observed, and only 1 case developed herpes zoster which was recovered after treatment. ConclusionDupilumab shows marked efficacy in the treatment of moderate-to-severe asthma with favorable safety.
Objective Risk factors for real-word immune checkpoint inhibitor-related pneumonitis in patients with lung cancer were analyzed by systematic analysis. Methods Computerized retrieval of PubMed, EMbase, Web of Science, the Cochrane Library , WanFang Data, CNKI and VIP databases was carried out. Studies were collected from the database establishment to March 2023. Three researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies. Meta-analysis was performed using RevMan5.4.1software. Results A total of 18 studies were included with a total of 4 990 patients. The results of meta-analysis showed that, interstitial pneumonia [odds ratio (OR)=9.32, 95% confidence interval (CI) 4.66 - 18.67, P<0.01], smoking history (OR=2.39, 95%CI 1.29 - 4.45, P<0.01), chronic obstructive pulmonary disease (COPD) (OR=5.54, 95%CI 2.96 - 10.36, P<0.01), chest radiotherapy (OR=2.74, 95%CI 1.80 - 4.19, P<0.01), pulmonary fibrosis (OR=7.46, 95%CI 4.25 - 13.09, P<0.01), high programmed death ligand 1 (PD-L1) expression (OR=2.98, 95%CI 1.71 - 5.22, P<0.01), high absolute eosinophil count (AEC) (OR=3.92, 95%CI 2.17 - 7.08, P<0.01) and pembrolizumab (OR=2.90, 95%CI 1.56 - 5.37, P<0.01) were independent risk factors for immune checkpoint inhibitor-related pneumonitis in lung cancer patients. Conclusions Interstitial pneumonia, smoking history, COPD, Chest radiotherapy, pulmonary fibrosis, high PD-L1expression, high AEC and pembrolizumab are independent risk factors for immune checkpoint inhibitor-related pneumonitis in lung cancer patients. Due to insufficient evidence on the risk factors of low albumin, more studies are needed to further identify it.
Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.
ObjectiveTo explore the association between frailty and in-hospital mortality in older patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods Elderly patients who were hospitalized with AECOPD from June 2022 to December 2022 at a large tertiary hospital were selected. The independent prognostic factors including frailty status were determined by multivariate logistic regression analysis. Mediation effect analysis was used to evaluate the mediating relationships between C-reactive protein (CRP) and albumin and in-hospital death. ResultsThe training set included 1 356 patients (aged 86.7±6.6), 25.0% of whom were diagnosed with frailty. The multiple logistic regression analysis showed that frailty, mean arterial pressure, Charlson comorbidity index, neutrophil–lymphocyte ratio, interleukin-6, CRP, albumin, and troponin T were associated with in-hospital mortality. Furthermore, CRP and albumin mediated the associations between frailty and in-hospital mortality. ConclusionFrailty may be an adverse prognostic factor for older patients admitted with an AECOPD. CRP and albumin may be parts of mechanism between frailty and in-hospital death.
ObjectiveTo evaluate changes in operational effectiveness after the implementation of ambulatory surgical management in pars plana vitrectomy (PPV). MethodsA retrospective clinical study. 17 528 surgeries in 10 895 eyes of 10 895 patients who underwent minimally invasive PPV on an ambulatory and/or inpatient basis at Tianjin Medical University Eye Hospital from August 2015 to June 2023 were included in this study. Among them, 5 346 eyes in 5 346 cases were male; 5 549 eyes in 5 549 cases were female. The age ranged from 0 to 95 years, with the mean age of (57.74±13.15) years. 6 381 surgeries in 3 615 eyes from August 2015 to December 2018 (the initial period of day surgery) were used as the control group; 11 147 surgeries in 7 280 eyes from January 2019 to June 2023 (the expanded period of day surgery) were used as the observation group. According to the management mode of ambulatory surgery, the observation group was subdivided into the decentralized management group (January 2019 to December 2020) and the centralized management group (January 2021 to June 2023), with 2 905 and 4 375 eyes and 4 646 and 6 501 surgeries, respectively. Changes in the percentage of day surgery, average hospitalization days, and average unplanned reoperation rate were compared. The Mann-Whitney U test was used to compare numerical variables between groups; the chi-square test or Fisher's exact test was used to compare categorical variables. ResultsThe number of cases of daytime PPV performed in the observation group and control group was 7 852 (70.44%, 7 852/11 147) and 24 (0.38%, 24/6 381) cases, respectively, and the average hospitalization days were 1 (1) and 5 (3) d. Compared with the control group, the observation group had a significantly higher percentage of day surgery (χ2=8 051.01) and a considerably lower mean hospitalization day (Z=4 536 844.50), and the differences were statistically significant (P＜0.000 1). The mean hospitalization days in the decentralized and centralized management groups were 2 (3) and 1 (0) d, respectively, and unplanned reoperations were 34 (0.73%, 34/4 646) and 171 (2.63%, 171/6 501) eyes, respectively. Compared with the decentralized management group, average hospitalization days was significantly lower (Z=1 436.94) and unplanned reoperation rate was significantly higher (χ2=54.10) were significantly lower in the centralized management group, both of which were statistically significant (P＜0.000 1). ConclusionPPV ambulatory management model can significantly reduce the average hospitalization day, but also results in higher rates of unplanned reoperations.
With the increasing improvement of real-world evidence as a research system and guideline specification for pre-market registration and post-market regulatory decision support of clinically urgent drug and mechanical products, identifying an approach to ensure the high quality and standards of real-world data and establishing a basis for the generation of real-world evidence is receiving increasing attention and concern from regulatory authorities. Based on the experience of Boao hope city real-world data research pattern and ophthalmic data platform construction, this paper discussed the "source data-database-evidence chain" generation process, data management, and data governance in real-world study from the special features and necessity of multiple sources and heterogeneity of data, multiple research designs, and standardized regulatory requirements, and provided references for further construction of comprehensive research data platforms in the future.
ObjectiveTo evaluate the safety, efficacy, and cost-effectiveness of different uses of oxidized regenerated cellulose (ORC) in video-assisted thoracoscopic surgery (VATS) for lung cancer resection to provide a reference for the selection, clinical use, and rational utilization of absorbable hemostatic materials. MethodsA retrospective analysis of relevant data from inpatients who underwent VATS for lung cancer resection at a tertiary hospital from July 2019 to January 2020 and from July 2020 to December 2020 was conducted. Patients were divided into two groups based on the use of ORC: 1) combined use group (ORC and collagen sponge) and 2) sole-use group (ORC). Safety, efficacy, and economic outcome indicators were compared between the two groups. ResultsThe main analysis included a total of 904 patients, with 466 in the combined use group and 438 in the sole-use group. Compared to the combined use group, the sole-use group had a significantly longer hospital stay, used fewer hemostatic drugs, had a lower average cost of hemostatic materials, and a lower median total hospitalization cost (P<0.05). No statistically significant difference was found between the two groups in terms of intraoperative blood loss volume, massive blood loss rate, perioperative transfusion rate, reoperation rate, postoperative 48-hour drainage volume, bloody drainage fluid rate, or postoperative laboratory test indicators. ConclusionThere was no significant difference in the safety or efficacy of VATS for lung cancer resection between the sole use of ORC and the combined use of ORC, but the sole use of ORC was associated with a lower cost of hemostatic materials and a lower total hospitalization cost. The sole use of hemostatic gauze in VATS for lung cancer resection may be a more cost-effective choice.
To explore the focus and trends in real-world studies in Chinese through knowledge mapping method, databases CNKI, VIP, Wanfang and Sinomed were retrieved, with 1 757 relevant articles published before September 30rd, 2020 finally included, whose bibliographical records were imported into NoteExpress to avoid duplication and check relativity. VOSviewer, a bibliometric analysis tool, was used to analyze their development. It was found that real-world studies have mainly taken shape after 2010, in which traditional Chinese medicine research plays an important role. China Journal of Chinese Material Medica was the leading journal with 120 papers, the China Academy of Chinese Medical Sciences the most contribution institution with 338 papers, and Xie Yanming from the institution the most contribution author with 250 papers. This study helps clinicians and researchers in better understanding the evolution of real-world research over more than two decades in China.
Traditional Chinese medicine (TCM) has a long history. In the process of fighting against diseases, TCM has formed a unique theoretical system and the way to think and diagnose. The holistic thinking, and the treatment according to syndrome differentiation are the most prominent characteristics of TCM, which matches with advanced medical concept and direction. The clinical efficacy has always been the basis for the advancement of TCM. However, issues such as the lagging behind of modern research on the evaluation of TCM curative effect, as well as lacking high-quality scientific research evidence, impede the development and promotion of the TCM toward the world. To address the above problems, recent progress in real-word study (RWS) has provided the opportunity for TCM researches, especially for the post-marketing evaluation of Chinese patent medicine (CPM). The formulation of this technical guidance for RWS of CPM is helpful to researchers in carrying out standardized, reasonable and scientific researches, to improve the quality of production and use of real-word evidence, and to promote the advancement of the TCM industry.