A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia.

The current medical practice is more responsive rather than proactive, despite the widely recognized value of early disease detection, including improving the quality of care and reducing medical costs. One of the cornerstones of early disease detection is clinically actionable predictions, where predictions are expected to be accurate, stable, real-time and interpretable. As an example, we used stroke-associated pneumonia (SAP), setting up a transformer-encoder-based model that analyzes highly heterogeneous electronic health records in real-time. The model was proven accurate and stable on an independent test set. In addition, it issued at least one warning for 98.6 % of SAP patients, and on average, its alerts were ahead of physician diagnoses by 2.71 days. We applied Integrated Gradient to glean the model's reasoning process. Supplementing the risk scores, the model highlighted critical historical events on patients' trajectories, which were shown to have high clinical relevance.

Adherence to Stroke Care Performance Measures in Different Regions in China, 2015-2019: Evidence From the Chinese Stroke Center Alliance.

BACKGROUND AND OBJECTIVES: To explore the regional discrepancy of the adherence to guideline-recommended stroke interventions for the stroke belt division (north vs south), the economic development division (east vs middle vs west), and potential interaction. METHODS: We conducted a retrospective observational study using data from the Chinese Stroke Center Alliance from August 2015 to August 2019. The primary outcome was hospital personnel adherence to 11 individual guideline-recommended treatments. The coprimary outcomes included 2 summary measures: a composite score (range, 0 [nonadherence] to 1 [perfect adherence]) and an all-or-none binary outcome for adherence to evidence-based stroke. Regional disparities were assessed according to the stroke belt division and the economic development division and the interaction between these 2 divisions. Multivariate regression models with generalized estimating equations were used to analyze the outcomes. RESULTS: This study included 838,229 patients with acute ischemic stroke from 1,473 hospitals. The overall quality of care in the nonbelt regions (southern China) was higher than in the stroke belt regions (northern China), as reflected by a higher composite score (0.77 vs 0.75; adjusted odds ratio 1.03 [95% CI 1.02-1.04]; p < 0.001) and a higher all-or-none measure (25.5% vs 22.0%; 1.32 [1.17-1.49], p < 0.001). Patients in the East and Central had higher odds of using intravenous tissue-type plasminogen activator (East: 1.81 [95% CI 1.51-2.18], p < 0.001; Central: 1.57 [95% CI 1.26-1.95], p < 0.001), early antithrombotic medications (East: 1.77 [1.49-2.11], p < 0.001; Central: 1.37 [1.12-1.66], p < 0.001), lipid-lowering medications (East: 1.29 [1.08-1.53], p < 0.001), and deep vein thrombosis prophylaxis (East: 1.28 [1.08-1.50], p = 0.003) compared with those in the West. Patients in the nonbelt regions had higher odds of getting dysphagia screening (1.82 [1.55-2.13], p < 0.001) and rehabilitation assessment (which though varied among different economic development levels). Reflected by significant interaction effects, for patients in the East, those in the nonbelt regions had greater odds of receiving anticoagulation (1.62 [1.34-1.96]; p < 0.001) but lower odds of receiving antithrombotic (0.63 [0.52-0.77]; p < 0.001) and antidiabetic medications (0.87 [0.77-0.99]; p = 0.03); for patients in the West, those in the nonbelt regions were less likely to receive antihypertensive (0.64 [0.46-0.88]; p = 0.004) and antidiabetic (0.66 [0.54-0.81]; p < 0.001) medications. DISCUSSION: Stroke care performance measures differed across regions, along the stroke belt division, and the economic development division. The overall quality of care in the non-stroke belt regions was higher than that in the stroke belt regions. The 2 divisions had interaction effects on several individual measures.

Length of Stay, Mortality, Cost, and Perceptions of Care Associated With Transition From an Open to Closed Staffing Model in the Cardiac Intensive Care Unit.

BACKGROUND: Organizational models in the intensive care unit (ICU) have classically been described as either closed or open, depending on the presence or absence of a dedicated ICU team. Although a closed model has been shown to improve patient outcomes in medical and surgical ICUs, the merits of various care models have not been previously explored in the cardiac ICU (CICU) setting. METHODS: From November 2012 to March 2014, data were prospectively collected on all admissions before and after transition from an open to closed CICU at our institution. Baseline clinical variables, illness severity, admission and discharge diagnoses, resource use, and outcomes were recorded. Anonymous surveys were also collected from nursing and resident trainee participants to evaluate the influence of unit structure on perceptions of care. Descriptive statistics were used, and logistic regression modeling was performed to examine the impact of unit structure on mortality. RESULTS: The study consisted of 670 patients, 332 (49.6%) of whom were admitted to the open CICU model and 338 (50.4%) of whom were admitted to the closed model. Neither CICU nor hospital mortality differed between the open and closed units, though length of stay was shorter in the closed CICU. Additionally, nurses and resident trainees reported that the closed CICU allowed for better communication, collaboration, and education. CONCLUSIONS: Although there was no significant impact of unit structure on patient outcomes in this single-center study, the closed CICU model was associated with better perceptions of care.