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Background: Venous thromboembolism (VTE) affects an estimated 350,000 to 600,000 individuals and causes approximately 100,000 deaths annually in the United States. Postoperative VTE is a core measure reported by The American College of Surgeons' National Surgical Quality Improvement Program (NSQIP). The objective of this research was to assess the validity of VTE events reported by NSQIP.
Materials And Methods: This is a retrospective analysis using NSQIP data from January 2006 through December 2018 and the electronic health record system data from five adult hospitals in the Johns Hopkins Health System. We included patients aged 18 years and older with a VTE event identified in our NSQIP data set. The main outcome measure was the proportion of valid VTE events, defined as concordant between the NSQIP data set and medical chart review for clinical documentation.
Results: Of 474 patients identified in our NSQIP database with a VTE, 26 (5.5%) did not meet the strict NSQIP definition of VTE. Nine had a preoperative history of DVT and no new postoperative event, seven had a negative workup for VTE, six had a peripheral arterial thrombus, two did not receive or refused therapy, one had an aortic thrombus, and one had a venous thrombosis in a surgical flap.
Conclusions: We identified a considerable number of surgical patients misclassified as having a VTE in NSQIP, when did not truly. This highlights the need to improve definition specificity and standardize processes involved in data extraction, validation, and reporting to provide unbiased data for use in quality improvement.
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http://dx.doi.org/10.1016/j.jss.2020.01.011 | DOI Listing |
Am J Respir Crit Care Med
September 2025
Temple University Hospital, Pulm & Crit Care Medicine, Philadelphia, Pennsylvania, United States.
Rationale: AIRFLOW-3 was a 1:1 randomized, double blind, sham controlled trial of the d'Nerva Targeted Lung Denervation (TLD) System in patients with COPD.
Objective: Evaluate the impact of TLD on COPD exacerbations compared to optimal medical treatment.
Methods: AIRFLOW-3 patients were symptomatic (CAT ≥10) with moderate to very severe airflow obstruction (25% ≤ FEV ≤ 80% predicted) and GOLD E status (≥2 moderate or ≥1 severe exacerbation over prior 12 months).
PLoS One
September 2025
Symbiosis Institute of Technology, Symbiosis International University, Pune, India.
With the rapid development of industrial automation and intelligent manufacturing, defect detection of electronic products has become crucial in the production process. Traditional defect detection methods often face the problems of insufficient accuracy and inefficiency when dealing with complex backgrounds, tiny defects, and multiple defect types. To overcome these problems, this paper proposes Y-MaskNet, a multi-task joint learning framework based on YOLOv5 and Mask R-CNN, which aims to improve the accuracy and efficiency of defect detection and segmentation in electronic products.
View Article and Find Full Text PDFPLoS One
September 2025
Audit Bureau of Xi'an, Xi'an, People's Republic of China.
In the national innovation system, the synergistic development of technological and management innovation in megaprojects plays a critical role in achieving high-quality project delivery. This study aims to develop a quantifiable three-dimensional coordination measurement framework to explore the collaborative mechanisms between technological and management innovation and validate practical applicability. First, key influencing factors of both technological and management innovation are identified through a systematic literature review and expert interviews.
View Article and Find Full Text PDFPLoS One
September 2025
Addis Ababa University, College of Health Science, Addis Ababa, Ethiopia.
Introduction: Prolonged Emergency Department (ED) stays, a global issue driving overcrowding, were exacerbated at our hospital by lab delays and extended waits, increasing patient stress. This study aimed to reduce hematology patients' length of stay (LOS). Using the fishbone method to identify care barriers, three interventions were implemented: redesigned lab referral systems, an online specialist communication platform, and patient navigation floor maps.
View Article and Find Full Text PDFPLOS Digit Health
September 2025
Laerdal Medical AS, Stavanger, Norway.
Accurate observations at birth and during newborn resuscitation are fundamental for quality improvement initiatives and research. However, manual data collection methods often lack consistency and objectivity, are not scalable, and may raise privacy concerns. The NewbornTime project aims to develop an AI system that generates accurate timelines from birth and newborn resuscitation events by automated video recording and processing, providing a source of objective and consistent data.
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