Comparing characteristics and outcomes of in-hospital stroke and community-onset stroke.

BACKGROUND: In-hospital strokes account for 4-17% of all strokes and usually lead to urgent and severe conditions. However, features of in-hospital strokes have been scarcely reported in China, and the management systems of in-hospital strokes are unestablished. The study aims to analyze the characteristics of in-hospital strokes in comparison to community-onset strokes and provides evidence for the development of national in-patient stroke care systems. METHODS: We retrospectively analyzed consecutive patients with in-hospital strokes (IHS group) and community-onset strokes (COS group) hospitalized in our hospital between June 2012, and January 2022. Clinical characteristics, care measures, and outcomes were compared between the two groups. RESULTS: A total of 1162 patients (age 61 ± 16 and 65% male) were included, of whom 193 (16.6%) had an in-hospital stroke and 969 (83.4%) had community-onset stroke. Compared with COS group, patients in IHS group had higher NIHSS at onset (7.25 vs 5.96, P = 0.054), higher use of endovascular therapy (10.4% vs 2.0%, P < 0.001), and lower use of intravascular thrombolysis (1.6% vs 7.2%, P = 0.003). Also, in-hospital strokes were associated with lower rate of mRS0-2 at discharge (OR[95%CI] = 0.674[0.49, 0.926], P = 0.015) and increased in-hospital mobility (OR[95%CI] = 3.621[1.640, 7.996], P = 0.001), after adjusting for age, sex, and cardiovascular risk factors. CONCLUSION: Compared with community-onset strokes, the patients with in-hospital stroke had insufficient urgent treatment and poorer outcomes, reflecting the need for increased awareness of in-patient stroke, and strategies to streamline in-hospital acute stroke care.

Impulsive Multiconsensus of Second-Order Multiagent Networks Using Sampled Position Data.

A multiconsensus problem of multiagent networks is solved in this paper, where multiconsensus refers to that the states of multiple agents in each subnetwork asymptotically converge to an individual consistent value when there exist information exchanges among subnetworks. A distributed impulsive protocol is proposed to achieve multiconsensus of second-order multiagent networks in terms of three categories: 1) stationary multiconsensus; 2) the first dynamic multiconsensus; and 3) the second dynamic multiconsensus. This impulsive protocol utilizes only sampled position data and is implemented at sampling instants. For those three categories of multiconsensus, the control parameters in the impulsive protocol are designed, respectively. Moreover, necessary and sufficient conditions are derived, under which each multiconsensus can be reached asymptotically. Several simulations are finally provided to demonstrate the effectiveness of the obtained theoretical results.