Maarten Lahr

Proportion of Patients Treated With Thrombolysis in a Centralized Versus a Decentralized Acute Stroke Care Setting

Background and Purpose— Today, treatment of acute stroke consists of tissue-type plasminogen activator (tPA), admission to a stroke unit, and aspirin. Although tPA treatment is the most effective, there is substantial undertreatment. Centralized care may affect rate, timing, and outcome of thrombolysis compared to decentralized treatment in community hospitals. The present study aimed to assess the impact of organizational models on the proportion of patients undergoing tPA treatment. Methods— A prospective, multicenter, observational study among 13 hospitals in the North of the Netherlands was conducted. In the centralized model, tPA treatment for 4 hospitals was administered in 1 stroke center. The decentralized model comprised 9 community hospitals. Primary outcome was the proportion of patients treated with tPA. Secondary outcome measures were proportion of patients arriving within 4.5 hours, safety, 90-day functional outcome, and onset-to-door, door-to-needle, and onset-to-needle times. Potential confounders were adjusted using logistic regression analysis. Results— Two hundred eighty-three and 801 ischemic stroke patients were enrolled in the centralized and decentralized settings. Numbers of patients treated with tPA were 62 (21.9%) and 113 (14.1%) (OR, 1.72; 95% CI, 1.22–2.43). Adjusting for potential confounders did not alter results (OR, 2.03; 95% CI, 1.39–2.96). In the centralized setting, significantly more patients arrived at the hospital within the 4.5-hour time window (P<0.01), and shorter door-to-needle times were reached (35 versus 47 minutes). Other secondary outcome measures did not differ across setting. Conclusions— In a centralized setting, the results demonstrate a 50% increased likelihood of treatment. Prehospital factors seem to contribute to this result.

Thrombolysis in acute ischemic stroke: a simulation study to improve pre- and in-hospital delays in community hospitals.

Background Various studies demonstrate better patient outcome and higher thrombolysis rates achieved by centralized stroke care compared to decentralized care, i.e. community hospitals. It remains largely unclear how to improve thrombolysis rate in decentralized care. The aim of this simulation study was to assess the impact of previously identified success factors in a central model on thrombolysis rates and patient outcome when implemented for a decentral model. Methods Based on a prospectively collected dataset of 1084 ischemic stroke patients, simulation was used to replicate current practice and estimate the effect of re-organizing decentralized stroke care to resemble a centralized model. Factors simulated included symptom onset call to help, emergency medical services transportation, and in-hospital diagnostic workup delays. Primary outcome was proportion of patients treated with thrombolysis; secondary endpoints were good functional outcome at 90 days, Onset-Treatment-Time (OTT), and OTT intervals, respectively. Results Combining all factors might increase thrombolysis rate by 7.9%, of which 6.6% ascribed to pre-hospital and 1.3% to in-hospital factors. Good functional outcome increased by 11.4%, 8.7% ascribed to pre-hospital and 2.7% to in-hospital factors. The OTT decreased 17 minutes, 7 minutes ascribed to pre-hospital and 10 minutes to in-hospital factors. An increase was observed in the proportion thrombolyzed within 1.5 hours; increasing by 14.1%, of which 5.6% ascribed to pre-hospital and 8.5% to in-hospital factors. Conclusions Simulation technique may target opportunities for improving thrombolysis rates in acute stroke. Pre-hospital factors proved to be the most promising for improving thrombolysis rates in an implementation study.

A Simulation-based Approach for Improving Utilization of Thrombolysis in Acute Brain Infarction

Background:Treatment with tissue plasminogen activator (tPA) is the most effective treatment in acute brain infarction. However, estimated worldwide treatment rates are <10%, with many barriers hampering broad implementation. Organization and resource-intense randomized controlled trials cannot address all potential barriers simultaneously. Simulation, however, may provide an efficient research means for testing interventions aimed at resolving barriers along the care pathway. Research design:A simulation-based approach reflecting the setup of a regional Dutch acute stroke pathway was used. First, barriers along the overall pathway were identified. Next, solutions to barriers were configured, and subsequently tested using simulation. Results:Barriers along the stroke pathway and possible solutions were identified from the literature and expert consultation. The simulation model closely reproduced actually observed tPA treatment rate and overall process time (21.8% and 129 min for model outcomes vs. 22.1% and 127 min, P=0.89 and 0.64, respectively). Two barriers were overcome: (1) time spent by ambulance personnel on scene by a scoop-and-run protocol (1.4% increase in tPA rate, 7 min decrease in overall process time), and (2) time to laboratory results by introducing a point-of-care diagnostic device (3.2% increase in tPA rate, 20 min decrease in overall process time). Conclusions:A simulation-based approach is well suited to efficiently assess solutions to barriers along the overall stroke pathway. Substantial improvements in treatment rates and efficacy of thrombolysis may be achieved by implementing a scoop-and-run protocol and point-of-care device.

Proposals for enhanced health risk assessment and stratification in an integrated care scenario.

Objectives Population-based health risk assessment and stratification are considered highly relevant for large-scale implementation of integrated care by facilitating services design and case identification. The principal objective of the study was to analyse five health-risk assessment strategies and health indicators used in the five regions participating in the Advancing Care Coordination and Telehealth Deployment (ACT) programme (http://www.act-programme.eu). The second purpose was to elaborate on strategies toward enhanced health risk predictive modelling in the clinical scenario. Settings The five ACT regions: Scotland (UK), Basque Country (ES), Catalonia (ES), Lombardy (I) and Groningen (NL). Participants Responsible teams for regional data management in the five ACT regions. Primary and secondary outcome measures We characterised and compared risk assessment strategies among ACT regions by analysing operational health risk predictive modelling tools for population-based stratification, as well as available health indicators at regional level. The analysis of the risk assessment tool deployed in Catalonia in 2015 (GMAs, Adjusted Morbidity Groups) was used as a basis to propose how population-based analytics could contribute to clinical risk prediction. Results There was consensus on the need for a population health approach to generate health risk predictive modelling. However, this strategy was fully in place only in two ACT regions: Basque Country and Catalonia. We found marked differences among regions in health risk predictive modelling tools and health indicators, and identified key factors constraining their comparability. The research proposes means to overcome current limitations and the use of population-based health risk prediction for enhanced clinical risk assessment. Conclusions The results indicate the need for further efforts to improve both comparability and flexibility of current population-based health risk predictive modelling approaches. Applicability and impact of the proposals for enhanced clinical risk assessment require prospective evaluation.

Effect of selective serotonin re-uptake inhibitors (SSRIs) on functional outcome in patients with acute ischemic stroke treated with tPA.

BACKGROUND Selective serotonin re-uptake inhibitors (SSRIs) may have therapeutic potential in the treatment of ischemic stroke by effects on neuronal cell survival and the plasticity of brain processes. In the present study, we investigated whether prior treatment with a SSRI is associated with more favorable functional outcome in a cohort of patients with acute ischemic stroke treated with tissue plasminogen activator (tPA). METHODS In a prospective observational cohort study of 476 acute ischemic stroke patients treated with tPA we investigated the relationship between prior SSRI treatment and functional outcome at 3 months. Ischemic stroke subtypes were defined according to the Oxfordshire Community Stroke Project Classification. Favorable outcome was defined as a modified Rankin Scale score <or=2. RESULTS In the cohort of 476 patients, 22 (5%) patients used a SSRI at stroke onset. At 3 months, 217 (46%) patients had a favorable outcome of whom 9 (41%) on SSRI treatment and 208 (46%) not using SSRIs (p=0.65). In a multivariable analysis SSRI treatment showed a trend to association with unfavorable outcome (OR 0.4, 95% CI 0.14-1.13, p=0.08). In the 376 patients with cortical stroke, SSRI treatment was associated with an unfavorable outcome (OR 0.17, 95% CI 0.04-0.73, p=0.017). CONCLUSION Our data suggest that in patients with acute ischemic stroke treated with tPA, prior SSRI use may be associated with a less favorable outcome, especially in cortical stroke.

Prehospital factors determining regional variation in thrombolytic therapy in acute ischemic stroke

Background Treatment rates with intravenous tissue plasminogen activator vary by region, which can be partially explained by organizational models of stroke care. A recent study demonstrated that prehospital factors determine a higher thrombolysis rate in a centralized vs. decentralized model in the north of the Netherlands. Aim To investigate prehospital factors that may explain variation in thrombolytic therapy between a centralized and a decentralized model. Methods A consecutive case observational study was conducted in the north of the Netherlands comparing patients arriving within 4·5 h in a centralized vs. decentralized stroke care model. Factors investigated were transportation mode, prehospital diagnostic accuracy, and preferential referral of thrombolysis candidates. Potential confounders were adjusted using logistic regression analysis. Results A total of 172 and 299 arriving within 4·5 h were enrolled in centralized and decentralized settings, respectively. The rate of transportation by emergency medical services was greater in the centralized model (adjusted odds ratio 3·11; 95% confidence interval, 1·59–6·06). Also, more misdiagnoses of stroke occurred in the central model (P = 0·05). In postal code areas with and without potential preferential referral of thrombolysis candidates due to overlapping catchment areas, the odds of hospital arrival within 4·5 h in the central vs. decentral model were 2·15 (95% confidence interval, 1·39–3·32) and 1·44 (95% confidence interval, 1·04–2·00), respectively. Conclusions These results suggest that the larger proportion of patients arriving within 4·5 h in the centralized model might be related to a lower threshold to use emergency services to transport stroke patients and partly to preferential referral of thrombolysis candidates.

Letter by Lahr et al regarding article, "Promoting Thrombolysis in Acute Ischemic Stroke"

To the Editor: With great interest, we read the article by Dirks et al1 published in the March 2011 issue of Stroke . The authors showed that a multidimensional implementation strategy slightly increased the thrombolysis treatment rate for the intervention group (13%) compared to the control group (12%) without actually increasing clinical outcome at 3 months. Apparently, an evaluation of a complex multifaceted intervention such as thrombolysis is considered difficult, whereas power to detect a difference in clinical outcome may have been low a priori. The fact that a multitude of interventions was applied introduces considerable potential for dilution of effect. This raises the question whether classical experimental designs are the way forward when the aim is to improve implementation of …

Centralising and optimising decentralised stroke care systems: A simulation study on short-term costs and effects

BackgroundCentralisation of thrombolysis may offer substantial benefits. The aim of this study was to assess short term costs and effects of centralisation of thrombolysis and optimised care in a decentralised system.MethodsUsing simulation modelling, three scenarios to improve decentralised settings in the North of Netherlands were compared from the perspective of the policy maker and compared to current decentralised care: (1) improving stroke care at nine separate hospitals, (2) centralising and improving thrombolysis treatment to four, and (3) two hospitals. Outcomes were annual mean and incremental costs per patient up to the treatment with thrombolysis, incremental cost-effectiveness ratio (iCER) per 1% increase in thrombolysis rate, and the proportion treated with thrombolysis.ResultsCompared to current decentralised care, improving stroke care at individual community hospitals led to mean annual costs per patient of

Simulation conceptual modeling for optimizing acute stroke care organization

US 1,834 (95% CI, 1,823–1,843) whereas centralising to four and two hospitals led to

Response to Letter Regarding Article, “Proportion of Patients Treated With Thrombolysis in a Centralized Versus a Decentralized Acute Stroke Care Setting”

US 1,462 (95% CI, 1,451–1,473) and