SENTRY, an early prediction model using routine admission variables and ultra-early chest computed tomography findings from eight stroke centers, showed higher discrimination than established scores, and decision curve analysis showed greater net benefit across clinically relevant thresholds.
Stroke-associated pneumonia (SAP) is a common complication of acute stroke, highlighting the need for early risk identification. This study aimed to develop and internally validate a preliminary SAP nomogram using routinely available clinical and hematological parameters. This single-center retrospective study included...
The PISRS is a simple admission-based score that may facilitate early risk stratification for SAP in patients with AIS undergoing IVT and further prospective validation in larger and more diverse cohorts is required.
Dao-Feng Hu, Min Zhou, Lai Wei et al.· Frontiers in Medicine· 0 citations
Candidate models did not consistently outperform CHA2DS2-VASc in this external validation; CHA2DS2-VASc remains practical, while other models may require population-specific validation and recalibration.
Ao-Bo Gong, Bangjiaxin Ren, Ying Cao et al.· Heart Rhythm· 0 citations
Background/Objectives: Early risk stratification is essential in pulmonary embolism (PE), but a simple tool integrating routinely available clinical and laboratory variables is lacking. We aimed to develop a simple score for predicting 30-day mortality in patients presenting to the emergency department (ED) with PE. Me...
Shin Young Park, I. Park, H. Chung et al.· Diagnostics· 0 citations
OBJECTIVE
To analyze clinical characteristics, risk factors, and a predictive model for non-aspiration stroke-associated infections (NASAI) in acute ischemic stroke (AIS) patients receiving intravenous alteplase thrombolysis.
METHODS
This prospective cohort study included AIS patients from the DATIS cohort (Jan 2018-...
Xuan-Yue Yu, Ziqi Han, Dong Chen et al.· Journal of Cerebral Blood Fl...· 0 citations
SUMMARY BACKGROUND China has a high TB burden and limited primary care. We therefore developed a risk prediction model using routine clinical and lab indicators to flag severe TB cases early. METHODS In a case–control study of 2,012 TB patients (499 severe, 1,513 non-severe) from four hospitals (2012–2022), patients we...
X. Hu, W. Shu, N. Su et al.· IJTLD open· 0 citations
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