Noninfectious complications of acute stroke and their impact on hospital mortality in patients admitted to a stroke unit in Warsaw from 1995 to 2015

Clinical factors associated with massive pulmonary embolism and PE-related adverse clinical events

Background

Clinicians evaluating acute PE patients often have to identify risks for massive PE, a measure of hemodynamic instability and its consequence, massive PE related adverse clinical events (PEACE). We investigated the association of these risk factors with massive PE and PEACE in a consecutive PE cohort (n = 364).

Methods

Massive PE was defined as an acute central clot (proximal to the lobar artery) in a patient with right heart strain and systolic blood pressure ≤ 90 mg. PEACE was defined as any massive PE who died or required one or more of the following: ACLS, assisted ventilation, vasopressor use, thrombolytic therapy, or invasive thrombectomy, within seven days of PE diagnosis. Univariate and multivariate analysis assessing associations between the risk factors (age, gender, comorbidities, PE provoking risks, and whether the PE was felt to be idiopathic) and massive PE or PEACE were performed. Significance was determined at p < 0.05.

Results

Thirteen percent (n = 48) of patients presented with massive PE, and 9% (n = 32) had PEACE. In the final multivariate model, recent invasive procedure (RR = 7.4, p = 0.007), recent hospitalization (RR = 7.3, p = 0.002), and idiopathic PE (RR = 6.5, p = 0.003) were associated with massive PE. Only idiopathic PE (RR = 5.7, p = 0.005) was significantly associated with PEACE. No comorbidities or other PE provoking risks were associated with massive PE or PEACE.

Conclusions

As a take-home message, recent invasive procedure, recent hospitalization, and idiopathic PE were associated with massive PE, and only idiopathic PE was associated with PEACE. Simultaneously, comorbidities like age or chronic cardiopulmonary disease seem not to be associated with massive PE or PEACE.

Simultaneous cardio-cerebral infarction in the coronavirus disease pandemic era: A case series

INTRODUCTION

Simultaneous occurrence of acute ischemic stroke and myocardial infarction is reported to have variable precipitating causes. This occurrence has been rarely reported in the literature and described only in very few case reports. During the surge of coronavirus disease (COVID-19) in our region, we noted an increase in the simultaneous occurrence of cardio-cerebral infarction. This led us to explore the possible mechanisms and pathophysiology that could contribute to this increase. The retrospective nature of the study limited us from drawing any conclusion about causation. Rather, we aimed to formulate a hypothesis for future, more rigorous studies.

PATIENT CONCERNS

We present an overview of 5 cases of simultaneous cardio-cerebral infarction that we encountered in our emergency department within 1 month.

DIAGNOSIS

In all cases, diagnosis was confirmed using an electrocardiogram, assessment of laboratory cardiac markers, and imaging.

INTERVENTIONS

In all cases, dual antiplatelet therapy was started and thrombolysis was held, as the condition was considered high risk in most of the patients. Cardiac catheterization lab was not activated either because the patient was unstable or the risk of COVID-19 in staff outweighed the benefit added in patient treatment.

OUTCOMES

Two out of 5 patients died because of early complications that lasted for few days. The remaining 3 were discharged from the hospital in moderate functionality for extensive therapy and rehabilitation.

CONCLUSION

Early recognition and immediate treatment is important in different scenarios leading to thrombosis as the outcome. Additionally, addressing the unknown risks that could contribute to our traditional understanding of these causative mechanisms is important. The hypothesis of exacerbated damage caused by inflammatory and immunological endothelial systemic damage should further be explored to be able to delineate new possibilities in managing these conditions.

Structural Equation Model (SEM) of Stroke Mortality in Spanish Inpatient Hospital Settings: The Role of Individual and Contextual Factors

Introduction: Traditionally, predictive models of in-hospital mortality in ischemic stroke have focused on individual patient variables, to the neglect of in-hospital contextual variables. In addition, frequently used scores are betters predictors of risk of sequelae than mortality, and, to date, the use of structural equations in elaborating such measures has only been anecdotal. Aims: The aim of this paper was to analyze the joint predictive weight of the following: (1) individual factors (age, gender, obesity, and epilepsy) on the mediating factors (arrhythmias, dyslipidemia, hypertension), and ultimately death (exitus); (2) contextual in-hospital factors (year and existence of a stroke unit) on the mediating factors (number of diagnoses, procedures and length of stay, and re-admission), as determinants of death; and (3) certain factors in predicting others. Material and Methods: Retrospective cohort study through observational analysis of all hospital stays of Diagnosis Related Group (DRG) 14, non-lysed ischemic stroke, during the time period 2008-2012. The sample consisted of a total of 186,245 hospital stays, taken from the Minimum Basic Data Set (MBDS) upon discharge from Spanish hospitals. MANOVAs were carried out to establish the linear effect of certain variables on others. These formed the basis for building the Structural Equation Model (SEM), with the corresponding parameters and restrictive indicators. Results: A consistent model of causal predictive relationships between the postulated variables was obtained. One of the most interesting effects was the predictive value of contextual variables on individual variables, especially the indirect effect of the existence of stroke units on reducing number of procedures, readmission and in-hospital mortality. Conclusion: Contextual variables, and specifically the availability of stroke units, made a positive impact on individual variables that affect prognosis and mortality in ischemic stroke. Moreover, it is feasible to determine this impact through the use of structural equation methodology. We analyze the methodological and clinical implications of this type of study for hospital policies.