Dataset Information

Integrated systems of stroke care and reduction in 30-day mortality: A retrospective analysis.

ABSTRACT:

Objective

To evaluate the association between the presence of integrated systems of stroke care and stroke case-fatality across Canada.

Methods

We used the Canadian Institute of Health Information's Discharge Abstract Database to retrospectively identify a cohort of stroke/TIA patients admitted to all acute care hospitals, excluding the province of Quebec, in 11 fiscal years from 2003/2004 to 2013/2014. We used a modified Poisson regression model to compute the adjusted incidence rate ratio (aIRR) of 30-day in-hospital mortality across time for provinces with stroke systems compared to those without, controlling for age, sex, stroke type, comorbidities, and discharge year. We conducted surveys of stroke care resources in Canadian hospitals in 2009 and 2013, and compared resources in provinces with integrated systems to those without.

Results

A total of 319,972 patients were hospitalized for stroke/TIA. The crude 30-day mortality rate decreased from 15.8% in 2003/2004 to 12.7% in 2012/2013 in provinces with stroke systems, while remaining 14.5% in provinces without such systems. Starting with the fiscal year 2009/2010, there was a clear reduction in relative mortality in provinces with stroke systems vs those without, sustained at aIRR of 0.85 (95% confidence interval 0.79-0.92) in the 2011/2012, 2012/2013, and 2013/2014 fiscal years. The surveys indicated that facilities in provinces with such systems were more likely to care for patients on a stroke unit, and have timely access to a stroke prevention clinic and telestroke services.

Conclusion

In this retrospective study, the implementation of integrated systems of stroke care was associated with a population-wide reduction in mortality after stroke.

SUBMITTER: Ganesh A

PROVIDER: S-EPMC4782112 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:PurposePrevious studies have shown that the peripheral red blood cell distribution width (RDW) and human serum albumin (ALB) were both predictors of the risk and mortality of cerebrovascular diseases, and the ratio of RDW to ALB (RAR) was a combined new index that can predict the prognosis of the cardiovascular and respiration systemic diseases, but its role in cerebrovascular diseases had not been effectively evaluated. This study is aimed at exploring whether RAR can effectively predict the 30-day all-cause mortality of acute ischemic stroke (AIS) patients.MethodsThis retrospective cohort study was conducted on AIS patients (age > 18 years) in the intensive care database MIMIC-IV. The RAR was measured based on the red blood cell distribution width and albumin. The main result was 30-day all-cause mortality, and the secondary results were ICU mortality and hospital mortality. Obtain the odds ratio (OR) estimate from the logistic regression model of log-transformed RAR values and mortality. We had used another database for external validation.ResultsA total of 1412 patients were enrolled, with an average age of 68.8 ± 15.9, including 708 (50.1%) males. When log-transformed RAR values were used as a continuous variable, as the values increases, the risk of death increases (30-day all-cause mortality OR = 4.02 (2.21, 7.32) P < 0.0001, ICU mortality OR = 3.81 (1.92, 7.54) P = 0.0001, and hospital mortality OR = 3.31 (1.83, 6.00) P < 0.0001), when the values were used as three-category variables and as a trend variable was also positively correlated with each mortality rate. Especially as the categorical variables, a dose-response relationship was clearly observed, that was, as the category of RAR increased (Q1 to Q3), the HR value of the risk of death gradually steadily increased. Such a relationship can also be observed in the external validation database. In the subgroup analysis, we observed an increased risk of death in the patient with hyperlipidemia and low HAS-BLED scores; however, no significant interaction was found in other subgroup analyses (including the diagnostic sequence of AIS).ConclusionRAR was a predictor of mortality in AIS patients. However, more in-depth research is needed to further analyze and confirm the role of RAR in AIS patients.