Observed Clinical and Operational Factors Are Associated with Biomarker Test Utilization in Respiratory Virus RT-PCR Testing: A Real-World Analysis of Inflammatory, Cardiac, and Thrombotic Biomarkers
Background/Objectives: Routinely collected biomarker data are generated through selective testing. We examined associations of observed clinical and operational factors with biomarker availability and explored the incremental discrimination provided by biomarker concentrations for respiratory viral RT-PCR positivity. Methods: This retrospective study included 7726 testing episodes for 13 respiratory viral targets from July 2020 to March 2025. Seven biomarkers were linked using a ±24-h reporting-time window. Models included age, sex, requesting department, operational time, calendar month, and year. Additional analyses included inverse probability weighting (IPW), weight and overlap diagnostics, and five repetitions of five-fold cross-validation. Results: Viral positivity was 12.72%. Biomarker availability ranged from 98.87% for C-reactive protein to 22.87% for B-type natriuretic peptide. Procalcitonin (PCT) result availability was associated with lower odds of viral positivity after adjustment (OR, 0.702; 95% CI, 0.583–0.846). Among episodes with a PCT result, the concentration association was close to the null (OR per doubling, 0.991; 95% CI, 0.953–1.030). The complete-cohort base model had an apparent area under the receiver operating characteristic curve (AUC) of 0.8263. The largest apparent ΔAUC was 0.00418 for D-dimer; its mean out-of-fold ΔAUC was 0.00367. IPW diagnostics showed substantial reductions in effective sample size and sensitivity to extreme weights for some biomarkers. Conclusions: Biomarker availability was associated with the observed clinical and operational factors, whereas concentrations added little discrimination for positivity within the available viral panel. These findings illustrate selection in retrospective laboratory data and do not assess biomarker usefulness for their intended clinical indications.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.