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.
With the gradual standardization and improvement of the real-world study system, real-world evidence, as a supplement to evidence from classical randomized controlled trials, is increasingly used to evaluate the effectiveness and safety of pharmaceuticals and medical devices. High-quality real-world evidence is not only related to the quality of real-world data, but also depends on the type of study design. Therefore, as one of the important designs for pragmatic clinical trials, the Zelen design has received much attention from investigators in recent years. This paper discussed the implementation processes, subtypes of design, advantages, limitations, statistical concerns, and appropriate application scenarios of the Zelen design, on the basis of published papers, in order to clarify its application value, and to provide references for future research.
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.
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.
As an important policy tool, real-world evidence is the basis for health insurance catalogue adjustment, and relevant policies and regulations have been issued in foreign countries to guide the use of real-world research for health insurance access, but the field of traditional Chinese medicine in China in particular is still in the exploratory stage. Since TCM protocols are widely used in clinical practice and have significant clinical value, this paper takes TCM protocols as an example and systematically constructs a technical pathway based on real-world research to support health insurance access, including clinical needs assessment, basic requirements of protocols, key points for conducting real-world research and evaluating real-world evidence, the process of access, the strategy of access, and the dynamic monitoring of access, with the aim of providing guidance for the application of real-world research in China's health insurance catalogue adjustment. Access to real-world research to provide reference for the application of real-world research in China's health insurance.
Traditional randomized controlled trial and real-world study have different advantages in internal validity and external extensibility, respectively. With the development of evidence-based health decisions, randomized controlled trial was no longer the only golden standard of interventional study, the research evidence of the real world was gradually involved in health decisions. This study mainly analyzed the requirements of evidence and actual application of evidence in the evaluation of the effectiveness of NICE in the UK. It was found that NICE still used the results of randomized controlled trials as a primary basis. Although real-world research has developed rapidly in recent years, it was limited used in health decision because of its bias by design and other factors. However, in recent years, real-world evidence has played a significant role in the field of innovative drugs or diseases that lack therapeutic drugs. With the improvement of real-world research in experimental design and data analysis, it is expected that it will play a more important role in health decision-making.
Focusing on research quality is a crucial aspect of modern evidence-based medical practice, providing substantial evidence to underpin clinical decision-making. The increase in real-world studies in recent years has presented challenges, with varying quality stemming from issues such as data integrity and researchers’ expertise levels. Although systematic reviews and meta-analyses are essential references for clinical decisions, their reliability is contingent upon the quality of the primary studies. Making clinical decisions based on inadequate research poses inherent risks. With the lack of a specialized tool for evaluating the quality of real-world studies within systematic reviews and meta-analyses, the Gebrye team has introduced a new assessment tool - QATSM-RWS. Comprising 5 modules and 14 items, this tool aims to improve real-world research evaluation. This article aims to elaborate on the tool’s development process and content, using this tool to evaluate a published real-world study as an example and providing valuable guidance for domestic researchers utilizing this innovative tool.
ObjectiveTo systematically review the difference in 30-day readmission rates among acute heart failure patients between real-world studies vs. randomized controlled trials (RCTs). MethodsPubMed, EMbase, The Cochrane Library, CNKI, CBM, VIP and WanFang Data databases were electronically searched to collect clinical studies on 30-day readmission rates in patients with acute heart failure from inception to April 12th, 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using Stata 16.0 software. ResultsA total of 33 real-world studies and 11 RCTs involving 106 722 subjects were included. The results of meta-analysis showed that the 30-day heart failure-related readmission rates in the real-world studies and RCTs were 10.8% (95%CI 9.3% to 12.3%) and 6.9% (95%CI 5.3% to 8.4%), respectively. The 30-day all-cause readmission rates in real-world studies and randomized controlled studies were 18.6% (95%CI 15.7% to 21.4%) and 14.2% (95%CI 12.0% to 16.3%), respectively. There were statistically significant differences between two kinds of studies (P<0.05). ConclusionsCurrent evidence suggests that the 30-day heart failure-related and all-cause readmission rates in patients of acute heart failure in real-world studies are significantly higher than those in patients of RCTs. Due to the limited quality and quantity of included studies, more high-quality studies are required to verify the above conclusions.
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.
With the boom of information technology and data science, real-world evidence (RWE) which is produced using diverse real-world data (RWD) has become an important source for healthcare practice and policy decisions, such as regulatory and coverage decisions, guideline development, and disease management. The production of high-quality RWE requires not only complete, accurate and usable data, but also scientific and sound study designs and data analyses to enable the questions of interest to be reliably answered. In order to improve the quality of production and use of RWE, China REal world data and studies ALliance (ChinaREAL) has developed the first series of technical guidance for developing real-world data and subsequent studies. The efforts are ongoing which would ultimately inform better healthcare practice and policy decisions.
