Real-world data to support post-market safety and performance of embolization coils: evidence generation from a medical device manufacturer and data institute partnership.

BACKGROUND: Recognizing the limitations of pre-market clinical data, regulatory authorities have embraced total product lifecycle management with post-market surveillance (PMS) data to assess medical device safety and performance. One method of proactive PMS involves the analysis of real-world data (RWD) through retrospective review of electronic health records (EHR). Because EHRs are patient-centered and focused on providing tools that clinicians use to determine care rather than collecting information on individual medical products, the process of transforming RWD into real-world evidence (RWE) can be laborious, particularly for medical devices with broad clinical use and extended clinical follow-up. This study describes a method to extract RWD from EHR to generate RWE on the safety and performance of embolization coils. METHODS: Through a partnership between a non-profit data institute and a medical device manufacturer, information on implantable embolization coils' use was extracted, linked, and analyzed from clinical data housed in an electronic data warehouse from the state of Indiana's largest health system. To evaluate the performance and safety of the embolization coils, technical success and safety were defined as per the Society of Interventional Radiology guidelines. A multi-prong strategy including electronic and manual review of unstructured (clinical chart notes) and structured data (International Classification of Disease codes), was developed to identify patients with relevant devices and extract data related to the endpoints. RESULTS: A total of 323 patients were identified as treated using Cook Medical Tornado, Nester, or MReye embolization coils between 1 January 2014 and 31 December 2018. Available clinical follow-up for these patients was 1127 ± 719 days. Indications for use, adverse events, and procedural success rates were identified via automated extraction of structured data along with review of available unstructured data. The overall technical success rate was 96.7%, and the safety events rate was 5.3% with 18 major adverse events in 17 patients. The calculated technical success and safety rates met pre-established performance goals (≥ 85% for technical success and ≤ 12% for safety), highlighting the relevance of this surveillance method. CONCLUSIONS: Generating RWE from RWD requires careful planning and execution. The process described herein provided valuable longitudinal data for PMS of real-world device safety and performance. This cost-effective approach can be translated to other medical devices and similar RWD database systems.

Suspected poor-quality medicines in Kenya: a retrospective descriptive study of medicine quality-related complaints reports in Kenya's pharmacovigilance database.

Poor-quality, substandard and falsified, medicines pose a significant public health threat, particularly in low-middle-income countries. A retrospective study was performed on Kenya's Pharmacovigilance Electronic Reporting System (2014-2021) to characterize medicine quality-related complaints and identify associations using disproportionality analysis. A total of 2767 individual case safety reports were identified, categorized into medicines with quality defects (52.1%), suspected therapeutic failure (41.6%), and suspected adverse drug reactions (6.3%). Predominantly reported were antineoplastic agents (28.6%), antivirals (11.7%), and antibacterial agents (10.8%) potentially linked to non-adherence to good manufacturing practices, inappropriate usage and supply chain degradation. Notably, analgesics (8.2%), and medical devices (3.5%) notified had quality defects, predominantly from government health facilities (60.0%). Antineoplastic agents (20.2%) and antivirals (3.7%) were frequently reported from suspected therapeutic failures and suspected adverse drug reactions, respectively, across both private for-profit facilities (26.5%) and not-for-profit facilities (5.4%). Underreporting occurred in unlicensed health facilities (8.1%), due to unawareness and reporting challenges. Pharmacists (46.1%), and pharmaceutical technicians (11.7%) predominantly reported quality defects, while medical doctors (28.0%) reported suspected therapeutic failures. Orally administered generic medicines (76.9%) were commonly reported, with tablets (5.8%) identified as potential sources of suspected adverse drug reactions, while quality defects were notified from oral solutions, suspensions, and syrups (7.0%) and medical devices (3.9%). The COVID-19 pandemic correlated with reduced reporting possibly due to prioritization of health surveillance. This study provides valuable evidence to supporting the use of medicine quality-related complaints for proactive, targeted regulatory control of high-risk medicines on the market. This approach can be strengthened by employing standardized terminology to prioritize monitoring of commonly reported suspected poor-quality medicines for risk-based sampling and testing within the supply chain.

Good manufacturing practice inspections conducted by Tanzania medicines and medical devices authority: a comparative study of two fiscal years from 2018 to 2020.

Background: Good Manufacturing Practices (GMP) is the bedrock of quality assurance in the pharmaceutical industry that ensures that products are consistently produced and controlled according to quality standards. This study compared the GMP conformance of pharmaceutical facilities across two fiscal years, 2018/2019 and 2019/2020, using the East African GMP Compendium on Good Manufacturing Practices, 2014, as a benchmark. Methods: We analyzed the proportion of conformance of foreign pharmaceutical industries to GMP standards and reported the aggregated data over a two-year period. Results: Inspected facilities had notable non-conformances, most commonly related to laboratory quality control and premises. We noted a downward trend in conformance in 2019/2020 compared with 2018/2019, with only 32.9% of facilities adhering to EAC GMP requirements, down from 50% in the previous year. The COVID-19 pandemic has affected the ability to conduct on-site inspections, and may have contributed to the lower conformance rate. Conclusions: These findings underscore the crucial need to continue GMP inspections and the importance of taking corrective actions to ensure adherence to the quality standards for products marketed in Tanzania. The study further revealed the significance of desk reviews in assisting regulatory authorities in facing unforeseen challenges such as pandemics.

Choice of needleless connector technology as a risk reduction strategy for catheter related bloodstream infection, mortality, and cost: A secondary data analysis.

OBJECTIVE: To compare relative risk (RR) of central line-associated bloodstream infection (CLABSI) between hospitals using Clave needleless connector technologies (NCT) and comparator hospitals using non-Clave NCT. And, to estimate avoided CLABSIs, mortality, and cost savings. BACKGROUND: Needleless connectors, while protective against needlestick injury, have long been implicated as a potential risk for CLABSI. Significant RR reduction of CLABSI among the many NCT has not been clinically demonstrated. METHODS: The U.S. Healthcare-Associated Infections database was accessed for CLABSI data for calendar year 2019 via the Centers for Medicare and Medicaid Services website. This dataset was merged with the Clave NCT manufacturer's 2019 database to identify hospitals purchasing Clave NCT (MicroClave™, NanoClave™, Clave Neutron™, Clave™, Microclave™ Clear) and non-Clave NCT comparator hospitals. Sub-analysis of Clave NCT hospitals included: (1) Clave NCT mixed-use and (2) Clave high-volume use hospitals. The standardized infection ratio (SIR) was generated to estimate CLABSI RR after adjusting for intern/resident-to-bed-ratio (IRB), care location, and hospital demographics. Using the RR, avoided CLABSIs, mortality, and cost savings were calculated. RESULTS: A total of 2987 eligible hospitals (1288 Clave NCT, 1699 non-Clave NCT) with 17,452,575 central line-days were evaluated. All three Clave NCT hospital groups showed a statistically significant reduction in RR compared to the non-Clave NCT hospitals. The RR in Clave NCT hospitals was 0.93, a 7% decrease in CLABSI risk (p = 0.02). In the Clave NCT subgroups, mixed-use hospitals RR was 0.93, a 7% reduction (p = 0.04), while the Clave NCT high-volume hospitals experienced a 19% reduction, RR 0.81 (p = 0.04). An estimated 563 CLABSIs and 84 related deaths were avoided with use of Clave NCT and $27,095,231 in cost savings. CONCLUSION: The use of the Clave NCT, in and of itself, is an effective risk reduction strategy for CLABSI prevention, reduced mortality, and substantial cost savings.

A Comprehensive Analysis of Reported Adverse Events and Device Failures Associated with Esophageal Self-Expandable Metal Stents: An FDA MAUDE Database Study.

INTRODUCTION: Esophageal Stents are used to maintain esophageal lumen patency in esophageal strictures caused by intrinsic and/or extrinsic malignancies and the occlusion of concomitant esophageal fistulas. While data on the efficacy and safety of esophageal stents exist, comprehensive evaluation of adverse events is limited. The aim of this study is to investigate the reported adverse events and device failures associated with esophageal self-expandable metal stents (SEMS) using the FDA's Manufacturer and User Facility Device Experience (MAUDE) database. METHODS: Post-marketing surveillance data for the esophageal SEMSs were analyzed using the FDA's MAUDE database from January 2014 to December 10, 2023. The outcomes of interest were patient-related adverse events and device failures. Statistical analysis was performed using Microsoft Excel 2010 and SPSS. Pooled numbers and percentages were calculated for each adverse event. Continuous variables underwent analysis using a two-tailed student t test, and significance was set to p ≤ 0.05. RESULTS: During the study period, 548 MAUDE reports revealed 873 device failures and 186 patient-related adverse events. The most common device issues were stent activation, positioning, or separation problems (4 n = 403; 46.2%), followed by device detachment or migration (n = 109, 12.5%), and material problems (n = 93, 10.7%). Patient complications included dysphagia/odynophagia (10%), perforation, pain, and bleeding (each 7.6%). The most common device failures in over-the-wire (OTW) stents and through-the-scope (TTS) stents were activation, positioning, or separation problems (TTS: n = 183, 52.6% vs OTW: n = 220, 41.9%). Compared to OTW stents, TTS stents had higher migration and breakage (13.5% vs. 11.8%, p = 0.24), and (9.2% vs. 6.7%, p = 0.08) respectively, while OTW stents had more challenges with stent advancement or removal (5.1% vs. 0.3%, p < 0.001 and 4.6% vs 3.4%, p = 0.19, respectively) and material problems (14.7% vs. 4.6%, p < 0.001). Activation, positioning, and separation problems were the most frequent device failures in fully covered (FC) and partially covered (PC) stents (FC: n = 62, 32.8%, PC: n = 168, 43.5%). FC stents had higher migration rates (20.6% vs 9.8%, p < 0.001), while PC stents exhibited more material problems (17.4% vs. 5.8%, p < 0.001) and difficulties with advancing the stents (6.7% vs. 0%, p < 0.001). CONCLUSION: Our examination showed a prevalence of reported device complications associated with stent activation, positioning, and separation problems. Dysphagia or odynophagia emerged as the most frequently reported patient complication. Furthermore, our analysis, provides insights into TTS vs. OTW and FC vs. PC esophageal SEMSs, enabling endoscopists and manufacturers to better understand adverse events and potentially optimize device design for future iterations.

Post-market surveillance of six COVID-19 point-of-care tests using pre-Omicron and Omicron SARS-CoV-2 variants.

Post-market surveillance of test performance is a critical function of public health agencies and clinical researchers that ensures tests maintaining diagnostic characteristics following their regulatory approval. Changes in product quality, manufacturing processes over time, or the evolution of new variants may impact product performance. During the COVID-19 pandemic, a plethora of point-of-care tests (POCTs) was released onto the Canadian market. This study evaluated the performance characteristics of several of the most widely distributed POCTs in Canada, including four rapid antigen tests (Abbott Panbio, BTNX Rapid Response, SD Biosensor, and Quidel QuickVue) and two molecular tests (Abbott ID NOW and Lucira Check IT). All tests were challenged with 149 SARS-CoV-2 clinical positives, including multiple variants up to and including Omicron XBB.1.5, as well as 29 clinical negatives. Results were stratified based on whether the isolate was Omicron or pre-Omicron as well as by reverse transcriptase quantitative PCR Ct value. The test performance of each POCT was consistent with the manufacturers' claims and showed no significant decline in clinical performance against any of the variants tested. These findings provide continued confidence in the results of these POCTs as they continue to be used to support decentralized COVID-19 testing. This work demonstrates the essential role of post-market surveillance in ensuring reliability in diagnostic tools.IMPORTANCEPost-market surveillance of diagnostic test performance is critical to ensure their reliability after regulatory approval. This is especially critical in the context of the COVID-19 pandemic as the use of point-of-care tests (POCTs) became widespread. Our study focused on four rapid antigen tests (Abbott Panbio, BTNX Rapid Response, SD Biosensor, and Quidel QuickVue) and two molecular tests (Abbott ID NOW and Lucira Check IT) that were widely distributed across Canada, assessing their performance using many SARS-CoV-2 variants, including up to Omicron subvariant XBB.1.5. Overall, we found no significant difference in performance against any variant, reinforcing confidence in their use. As concerns in test efficacy have been raised by news outlets, particularly regarding the BTNX Rapid Response, this work is even more timely and crucial. Our research offers insights into the performance of widely used COVID-19 POCTs but also highlights the necessity for post-market surveillance.

Adverse Events and Device Failures Associated with Pancreatic Stents: A Comprehensive Analysis Using the FDA's MAUDE Database.

INTRODUCTION: Pancreatic duct stents (PDS) are widely used for the prevention of post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis. However, there is a paucity of data regarding the adverse events associated with PDS placement. This study aims to investigate the reported adverse events and device failures related to PDS, utilizing the Manufacturer and User Facility Device Experience (MAUDE) database maintained by the U.S. Food and Drug Administration (FDA). METHODS: Post-marketing surveillance data from January 2013 to December 8, 2023, were extracted from the FDA's MAUDE database to analyze the reports pertaining to the use of commonly used PDS. The primary outcomes of interest were device issues and patient-related adverse events. Statistical analysis was performed using Microsoft Excel 2010, with the calculation of pooled numbers and percentages for each device and patient adverse event. RESULTS: A total of 579 device issues and 194 patient-related adverse events were identified. Device issues were primarily attributed to stent deformation (n = 72; 12.4%), followed by migration of the device into the pancreatic duct or expulsion out of the duct (n = 60; 10.4%), and stent fracture/breakage (n = 55; 9.4%). Among the patient-reported adverse events, inflammation was the most common (n = 26; 13.4%), followed by reports of stents becoming embedded in tissue (n = 21; 10.8%) and stent occlusion/obstruction (n = 16; 8.2%). The most prevalent device failures associated with Advanix stents were material deformation, with perforation (n = 3, 30%) being the most frequently reported adverse event. Concerning Geenen stents, migration or expulsion of the device (n = 34, 16.9%) constituted the most common device-related adverse events, while inflammation (n = 20, 16.7%) was the most frequently reported patient-related issue. For Zimmon stents, migration or expulsion of the device (n = 22, 8.8%) were the most frequently reported device-related problems, whereas perforation (n = 7, 10.9%) and bleeding (n = 7, 10.9%) were the most frequent patient-related adverse events. CONCLUSION: Our findings highlight important device and patient adverse events that endoscopists and referring providers should be aware of before considering pancreatic stent placement.

Determining the value of the abdominal core health quality collaborative to support regulatory decisions.

PURPOSE: The study objective is to document value created by real-world evidence from the Abdominal Core Health Quality Collaborative (ACHQC) for regulatory decisions. The ACHQC is a national effort that generates data on hernia repair techniques and devices. METHODS: Two retrospective cohort evaluations compared cost and time of ACHQC analyses to traditional postmarket studies. The first analysis was based on 25 reports submitted to the European Medicines Agency of 20 mesh products for post-market surveillance. A second analysis supported label expansion submitted to the Food and Drug Administration, Center for Devices and Radiological Health for a robotic-assisted surgery device to include ventral hernia repair. Estimated costs of counterfactual studies, defined as studies that might have been done if the registry had not been available, were derived from a model described in the literature. Return on investment, percentage of cost savings, and time savings were calculated. RESULTS: 45,010 patients contributed to the two analyses. The cost and time differences between individual 25 ACHQC analyses (41,112 patients) and traditional studies ranged from $1.3 to $2.2 million and from 3 to 4.8 years, both favoring use of the ACHQC. In the second label expansion analysis (3,898 patients), the estimated return on investment ranged from 11 to 461% with time savings of 5.1 years favoring use of the ACHQC. CONCLUSIONS: Compared to traditional postmarket studies, use of ACHQC data can result in cost and time savings when used for appropriate regulatory decisions in light of key assumptions.

Information-based group sequential design for post-market safety monitoring of medical products using real world data.

Real world healthcare data are commonly used in post-market safety monitoring studies to address potential safety issues related to newly approved medical products. Such studies typically involve repeated evaluations of accumulating safety data with respect to pre-defined hypotheses, for which the group sequential design provides a rigorous and flexible statistical framework. A major challenge in designing a group sequential safety monitoring study is the uncertainty associated with product uptake, which makes it difficult to specify the final sample size or maximum duration of the study. To deal with this challenge, we propose an information-based group sequential design which specifies a target amount of information that would produce adequate power for detecting a clinically significant effect size. At each interim analysis, the variance estimate for the treatment effect of interest is used to compute the current information time, and a pre-specified alpha spending function is used to determine the stopping boundary. The proposed design can be applied to regression models that adjust for potential confounders and/or heterogeneous treatment exposure. Simulation results demonstrate that the proposed design performs reasonably well in realistic settings.

Is the Fast Track Safe? A Safety Evaluation of the COVID-19 Drugs with Real-World Data.

The US FDA has given emergency use authorization to multiple Covid-19 drugs. We conducted disproportionality analysis to detect adverse reaction rates (ADRs) in the US FDA's Adverse Event Reporting System. We discovered not only severe ADRs but also unique ADRs and effectiveness that might be explained by pharmacokinetics. This shows that real-time safety reviews could be effective methods for comparing the safety and efficacy of fast-track authorized drugs.

Real-world effectiveness and safety of ibrutinib in relapsed/refractory mantle cell lymphoma in Japan: post-marketing surveillance.

Efficacy and safety data for ibrutinib in Japanese patients with relapsed/refractory (R/R) mantle cell lymphoma (MCL) were limited at the time of its approval in Japan. All-case post-marketing surveillance was conducted in Japanese R/R MCL patients who began ibrutinib treatment between December 2016 and December 2017, and patients were followed until 30 June 2020. In the effectiveness analysis set (n = 202), the overall response rate was 59.9%, 52-week progression-free survival was 47.5%, and overall survival was 69.3%. Safety was assessed in 248 patients (median age 74.0 years). When ibrutinib treatment was started, patients had received a median of three prior lines of therapy. The overall incidence of adverse events (AE) was 74.6%, and AE frequency and severity grade distribution were similar between patients with 1 versus more than 1 prior line of therapy. The most common AE was platelet count decreased (all grades; 10.4%), similarly to previous observations in patients with R/R chronic lymphocytic leukemia/small lymphocytic lymphoma. Five patients (2.0%) developed atrial fibrillation. The effectiveness and safety of ibrutinib were consistent with its known profile at approval in Japan. These results suggest that ibrutinib is effective and safe in Japanese R/R MCL patients in routine clinical practice.

Artificial intelligence / machine-learning tool for post-market surveillance of in vitro diagnostic assays.

The study compares an artificial intelligence technology with traditional manual search of literature databases to assess the accuracy and efficiency of retrieving relevant articles for post-market surveillance of in vitro diagnostic and medical devices under the Medical Device Regulation and In Vitro Diagnostic Medical Device Regulation. Over a 3-year period, literature searches and technical assessment searches were performed manually or using the Huma.AI platform to retrieve relevant articles related to the safety and performance of selected in vitro diagnostic and medical devices. The manual search involved refined keyword searches, screening of titles/abstracts / full text, and extraction of relevant information. The Huma.AI search utilized advanced caching techniques and a natural language processing system to identify relevant reports. Searches were conducted on PubMed and PubMed Central. The number of identified relevant reports, precision rates, and time requirements for each approach were analyzed. The Huma.AI system outperformed the manual search in terms of the number of identified relevant articles in almost all cases. The average precision rates per year were significantly higher and more consistent with the Huma.AI search compared with the manual search. The Huma.AI system also took significantly less time to perform the searches and analyze the outputs than the manual search. The study demonstrated that the Huma.AI platform was more effective and efficient in identifying relevant articles compared with the manual approach.

Discussion on hot topics and promotion paths for post-market surveillance and supervise of medical consumables based on non-active medical devices / 中国医学装备

Objective:To explore the research hotspots and effective promotion paths of post market surveillance and supervise of medical consumables with non-active medical devices.Methods:Data mining methods were used to collect related journal literatures and documents from the websites of China regulatory institutions and the China National Knowledge Infrastructure(CNKI),order sub item data of medical device adverse event reports,extract the MeSH element words of literatures and documents,perform bibliometric analysis and visual display.Results:The number of medical devices adverse event reports in China has been increasing year by year,reaching 694 866 in 2022,in the four statistical years from 2019 to 2022,the number of reports on non-active medical devices and IVD reagents also showed a parallel increasing trend,accounting for about 65.00% of the total number of adverse event reports on medical devices in the year.The bibliometric analysis of journal literature shows that research in this field has received varying degrees of participation from regulatory institutions,universities,medical institutions,and enterprises.Regulatory institutions have contributed 46 articles,accounting for 56.79% of the total number of articles,followed by 28 articles from universities.The co-occurrence analysis shows that hot topic is focused in 5 clusters:quality management,risk management,international experiences discussion and adverse event surveillance and re-evaluation and real-world research.China regulatory institutions attach great importance to post market surveillance and supervise,and have issued more than 20 relevant documents since 2006,focusing on specific topics and gradually deepening around safety and effectiveness.Conclusion:The post market surveillance and supervise of medical devices,especially medical consumables based on non-active medical devices,need to be promoted synchronously in three dimensions:regulatory institutions,medical institutions,and enterprises.Universities,research institutes,and industry organizations should work in coordinating to strengthen the collection,identification,and active surveillance of risk signals based on adverse event surveillance,safety evaluation based on risk management,and conducting real-world research,research and develop risk control and corrective and preventive measures.

Promoting the systematic use of real-world data and real-world evidence for digital health technologies across Europe: a consensus framework.

Despite the acceleration in the use of digital health technologies across different aspects of the healthcare system, the full potential of real-world data (RWD) and real-world evidence (RWE) arising from the technologies is not being utilised in decision-making. We examine current national efforts and future opportunities to systematically use RWD and RWE in decision-making in five countries (Estonia, Finland, Germany, Italy and the United Kingdom), and then develop a framework for promotion of the systematic use of RWD and RWE. A review assesses current national efforts, complemented with a three-round consensus-building exercise among an international group of experts (n1 = 44, n2 = 24, n3 = 24) to derive key principles. We find that Estonia and Finland have invested and developed digital health-related policies for several years; Germany and Italy are the more recent arrivals, while the United Kingdom falls somewhere in the middle. Opportunities to promote the systematic use of RWD and RWE were identified for each country. Eight building blocks principles were agreed through consensus, relating to policy scope, institutional role and data collection. Promoting post-market surveillance and digital health technology vigilance ought to rely on clarity in scope and data collection with consensus reached on eight principles to leverage RWD and RWE.

Identification of implant outliers in joint replacement registries.

Recent concerns surrounding joint replacements that have a higher than expected rate of revision have led to stricter controls by regulatory authorities with regards to the introduction of new devices into the marketplace. Implant post-market surveillance remains important, and joint replacement registries are ideally placed to perform this role. This review examined if and how joint replacement registries identified outlier prostheses, outlined problems and suggested solutions to improve post-market surveillance. A search was performed of all joint replacement registries that had electronic or published reports detailing the outcomes of joint replacement. These reports were examined for registry identification of outlier prostheses. Five registries publicly identified outlier prostheses in their reports and the methods by which this was performed, and three others had internal reports. Identification of outlier prostheses is one area that may improve overall joint replacement outcomes; however, further research is needed to determine the optimum methods for identification, including the threshold, the comparator and the numbers required for notification of devices. Co-operation of registries at a global level may lead to earlier identification of devices and thereby further improve the results of joint replacement.

Validation of CORE-MD PMS Support Tool: A Novel Strategy for Aggregating Information from Notices of Failures to Support Medical Devices' Post-Market Surveillance.

INTRODUCTION: The EU Medical Device Regulation 2017/745 defines new rules for the certification and post-market surveillance of medical devices (MD), including an additional review by Expert Panels of clinical evaluation data for high-risk MD if reports and alerts suggest possibly associated increased risks. Within the EU-funded CORE-MD project, our aim was to develop a tool to support such process in which web-accessible safety notices (SN) are automatically retrieved and aggregated based on their specific MD categories and the European Medical Device Nomenclature (EMDN) classification by applying an Entity Resolution (ER) approach to enrich data integrating different sources. The performance of such approach was tested through a pilot study on the Italian data. METHODS: Information relevant to 7622 SN from 2009 to 2021 was retrieved from the Italian Ministry of Health website by Web scraping. For incomplete EMDN data (68%), the MD best match was searched within a list of about 1.5 M MD on the Italian market, using Natural Language Processing techniques and pairwise ER. The performance of this approach was tested on the 2440 SN (32%) already provided with the EMDN code as reference standard. RESULTS: The implemented ER method was able to correctly assign the correct manufacturer to the MD in each SN in 99% of the cases. Moreover, the correct EMDN code at level 1 was assigned in 2382 SN (97.62%), at level 2 in 2366 SN (96.97%) and at level 3 in 2329 SN (95.45%). CONCLUSION: The proposed approach was able to cope with the incompleteness of the publicly available data in the SN. In this way, grouping of SN relevant to a specific MD category/group/type could be used as possible sentinel for increased rates in reported serious incidents in high-risk MD.

Post-Market Surveillance Assessment of the Clinical Accuracy of a Blood Glucose Monitoring System with an Improved Algorithm for Enhanced Product Performance.

BACKGROUND: On-going manufacturer-led post-market surveillance (PMS), assessing the clinical accuracy of blood glucose monitoring (BGM) systems, is critical to substantiate the performance of such products for people with diabetes. MATERIALS AND METHODS: Batches of Verio test-strip product were randomly and routinely selected over the period from launch of an improved-algorithm product to reporting date and sent to 3 clinic sites for clinician-led accuracy assessment. Accuracy is reported as per recently adopted FDA guidance for BGM systems, EN ISO 15197:2015 and MARD/MAD (Mean absolute relative difference/Mean absolute difference). RESULTS: Thirty-three individual test-strip batches were evaluated corresponding to 506 unique donors. Accuracy performance - FDA: 98.9% of values within ±15% of comparator; ISO: 99.0% within ±15 mg/dL or ±15% at <100 mg/dL (<5.55 mmol/L) or ≥100 mg/dL (≥5.55 mmol/L) glucose, respectively. Overall MARD was 4.19% with a MARD range of 3.54%-5.73% across all test strip batches. CONCLUSIONS: This post-market surveillance program demonstrates the new BGM system consistently meets measures of clinical accuracy specified by regulators. This program supports a growing demand by regulators for real-world evidence demonstrating consistent in-market product efficacy as opposed to the current largely passive approach that relies on assessment of reports filed by device users.

Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates No Evidence of Interference on Clinical Accuracy in a Large Cohort of People with Type 1 or Type 2 Diabetes.

BACKGROUND: Regulations and industry guidance relating to testing for interference in blood glucose monitoring (BGM) systems continue to focus on in vitro laboratory bench tests. Post-market surveillance (PMS) in a clinical setting allows for BGM accuracy assessments to evaluate the impact of real-world exposure to polypharmacy in people with diabetes. This study evaluated the OneTouch Select Plus® BGM test-strip accuracy with respect to polypharmacy using a clinical registry dataset. METHODS: Medication profiles were analysed for 1023 subjects (425 with type 1 (T1D) and 598 with type 2 diabetes (T2D)) attending 3 UK hospitals. Blood samples were analysed to determine clinical accuracy of the BGM test-strip against a laboratory comparator. RESULTS: 538 different medications (48 diabetes and 490 non-diabetes) were recorded across the 1023 subjects. Patients took on average 6.9 (n = 1-36) individual medications and 4.1 (n = 1-13) unique medication classes. Clinical accuracy to EN ISO 15197:2015 criteria were met irrespective of increasing average number of individual medications, categorized from 1-3, 4-6, 7-9, 10-12 and >12 taken per subject (97.7%, 97.7%, 97.8%, 97.8%, and 98.4%, respectively). Clinical accuracy criteria were met across 15 classes of medication using the combined dataset (97.9%; 29784/30433). Surveillance Error Grid (SEG) analysis showed 98.7% (29959/30368) of readings presented no clinical risk. No individual class or combination of medication classes impacted clinical accuracy of the BGM test-strip. CONCLUSIONS: Clinical performance for the test strip under assessment demonstrated no evidence of interference from over 500 prescription medications, with clinical accuracy maintained across a range of polypharmacy conditions in people with diabetes.

Implantable cardioverter defibrillator lead performance: A systematic review and individual patient data Meta-analysis.

BACKGROUND: Reliable post-approval surveillance of implantable cardioverter-defibrillator (ICD) lead performance remains a challenge. In the past, two ICD leads were recalled due to a high frequency of failures. In this meta-analysis, we sought to provide a combined estimate of failure-free rate for ICD leads by reconstructing individual patient data from published Kaplan-Meier (KM) curves and to investigate whether estimates could be influenced by the characteristics of the study. METHODS: Observational studies assessing failure-free estimates of transvenous ICD leads with KM method, were identified through a systematic search up to November 2021. RESULTS: Forty-four studies were eligible that included 41,870 (63.1%) non-recalled leads and 24,493 (36.9%) recalled leads. The 8-year cumulative failure-free rate was 94.1% (CI, 93.6% - 94.6%) for contemporary non-recalled leads and 81.2% (80.3% - 82.0%) for recalled leads (hazard ratio [HR], 3.15 [2.85-3.47], p < 0.001). Failure-free rate was lower in single-center studies in both the non-recalled (HR, 0.28 [0.15-0.51], p < 0.001) and recalled (HR, 0.54 [0.33-0.88], p = 0.014) group compared with multicenter studies. Similarly, estimates were significantly lower in small (i.e. extracted KM curve with <312 leads) versus large studies (HR non-recalled group, 0.54 [CI, 0.33-0.89], p = 0.015; HR recalled group, 0.62 [CI, 0.43-0.89], p = 0.009). CONCLUSIONS: In this meta-analysis including >66,000 leads, we provide pooled survival curves that may play a role in generating evidence-based standards for assessing clinically acceptable failure rates for ICD leads. Lead performance was underestimated with single-center and small-sized studies; multicenter studies remain the main tool to reliably conduct post-market surveillance of ICD leads.