Smoke Signals: Unraveling the Paradoxical Impact of Smoking on Stroke Prognosis and Treatment Efficacy.

Smoking is a well-established risk factor for stroke, yet its impact on stroke prognosis remains complex and multifaceted. This systematic review aims to elucidate the relationship between smoking and various stroke outcomes, including response to treatment and long-term recovery. We conducted a comprehensive analysis of four fundamental studies that examined the prognosis of stroke in smokers, focusing on clinical outcomes post-endovascular treatment, response to antiplatelet therapy, incidence of post-stroke delirium, and the effectiveness of thrombolysis treatment. The studies varied in design, including observational, retrospective, and post hoc trial analyses. The review reveals that smoking may paradoxically predict better clinical outcomes in specific treatment scenarios, such as post-endovascular treatment and when using clopidogrel. However, smokers also demonstrated higher rates of ischemic stroke and post-stroke delirium. Notably, the smoker's paradox in thrombolysis treatment was not supported. These findings highlight the need for personalized treatment approaches based on smoking status. Smoking has a complex and significant impact on stroke prognosis. While some benefits in specific treatment contexts were observed, the overall evidence strongly advises against smoking due to its adverse health consequences. This review underscores the importance of personalized stroke management in smokers and the integration of smoking cessation programs in post-stroke care. Future research should focus on larger, longitudinal studies to explore these associations further.

Impact of delirium on acute stroke outcomes: A systematic review and meta-analysis.

Delirium is a common complication in acute stroke patients. A 2011 meta-analysis showed an increased risk of in-hospital mortality and mortality within 12 months post-stroke, longer hospitalization durations, and increased likelihood of being discharged to a nursing home for patients experiencing post-stroke delirium. There is a need for an updated meta-analysis with several new studies having been since published. The PubMed and Scopus databases were screened for relevant studies. Inclusion criteria were as follows: retrospective or prospective studies reporting on the effects of delirium accompanying acute stroke on mortality, functional outcomes, length of hospital stay and need for re-admission. Strength of association was presented as pooled adjusted relative risk (RR) for categorical outcomes and weighted mean difference (WMD) for continuous outcomes. Statistical analysis was done using STATA version 16.0. The meta-analysis included 22 eligible articles. Eighteen of the 22 studies were prospective follow ups. Included studies were of good quality. Post-stroke delirium was associated with increased risk of in-hospital mortality, as well as mortality within 12 months post-stroke. Patients with delirium experienced increased hospital stay durations, were at greater risk for hospital readmission, and showed elevated risk for poor functional outcome. Compared to those who did not have delirium, stroke patients with delirium were 42% less likely to be discharged to home. Acute stroke patients with delirium are at an increased risk for poor short- and long-term outcomes. More research is needed to identify the best set of interventions to manage such patients and improve outcomes.

Effects of Melatonin Administration on Post-Stroke Delirium in Patients with Intracerebral Hemorrhage.

Post-stroke delirium (PSD) after intracerebral hemorrhage (ICH) is considered to be even more detrimental compared to that after ischemic stroke. Treatment options for post-ICH PSD remain limited. This study aimed at investigating to what extent prophylactic melatonin administration may have beneficial effects on post-ICH PSD. We performed a mono-centric, non-randomized, non-blinded, prospective cohort study, including 339 consecutive ICH patients admitted to the Stroke Unit (SU) from December 2015 to December 2020. The cohort consisted of ICH patients who underwent standard care (defined as the control group) and ICH patients who additionally received prophylactic melatonin (2 mg per day, at night) within 24 h of ICH onset until the discharge from the SU. The primary endpoint was post-ICH PSD prevalence. The secondary endpoints were: (i) PSD duration and (ii) the duration of SU stay. The PSD prevalence was higher in the melatonin treated cohort compared to the propensity score-matched (PSM) control group. Post-ICH PSD patients receiving melatonin had shorter SU-stay durations, and shorter PSD durations, although not statistically significant. This study shows no efficacy in limiting post-ICH PSD with preventive melatonin administration.

The RAPID-score: Risk Assessment and PredIction of Delirium in acute stroke patients based on very early clinical parameters.

Background and objective: Post-stroke delirium (PSD) is a common complication in acute stroke patients, and guidelines recommend routine screening and various preventive and treatment measures. However, there is a substantial lack of standardized approaches in diagnostic and therapeutic management of PSD. Here, we aimed to develop a new pragmatic and easily assessable screening tool to predict PSD based on early parameters, which are already integral to acute stroke diagnostics. Methods: We enrolled acute stroke patients admitted to our stroke unit or intensive care unit and developed the scoring system using retrospective single-center patient data. The Confusion Assessment Method for the Intensive Care Unit was used for prospective score validation. Logistic regression models were employed to analyze the association of early clinical and paraclinical parameters with PSD development. Results: N = 525 patients (median age: 76 years; 45.7% female) were enrolled, with 29.7% developing PSD during hospitalization. The resulting score comprises 6 items, including medical history, clinical examination findings, and non-contrast computed tomography results at admission. Scores range from -15 to +15 points, with higher values indicating a higher likelihood of PSD, ranging from 4% to 79%. The accuracy was 0.85, and the area under the curve was 0.89. Conclusion: The new RAPID (Risk Assessment and PredIction of Delirium in acute stroke patients)-score shows high accuracy in predicting PSD among acute stroke patients and offers precise odds of PSD for each corresponding score value, utilizing routine early clinical and paraclinical parameters. It can identify high-risk populations for clinical study interventions and may be suitable to guide prophylactic PSD measures.

Delirium prevalence, risk factors and outcomes among patients with acute stroke: A multi-centre observational study.

BACKGROUND: Delirium is a frequent and serious acute neuropsychiatric syndrome leading to worse prognosis including mortality. Patients with ischaemic and/or haemorrhagic stroke are vulnerable to delirium. However, predisposing and precipitating factors have not been fully discovered to date, leaving this area of practice under-represented in available guidelines. AIMS: To describe the prevalence, associated factors and main in-hospital outcomes of post-stroke delirium. METHODS: A multi-centre observational study was conducted from 2019 to 2020 and reported according to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines. Data were collected in stroke units located in two large hospitals in the North-East region of Italy. Consecutive adult patients with ischaemic and/or haemorrhagic stroke with a Glasgow Coma Scale > 5, who were willing to participate, were included. Data at admission, during the in-hospital stay and at discharge were collected by trained nurses, not involved in the care of patients, with (a) validated tools, (b) direct observation, and (c) access of patients' records. RESULTS: A total of 78 patients were enrolled (mean 73.1 years; 59% male), and 70.5% of them had suffered an ischaemic stroke. The mean National Institutes of Health Stroke Scale (NIHSS) at admission was 8.2 ± 7.0. A total of 34.6% of patients developed post-stroke delirium; the onset was mainly on the first day of admission (70.4%) and the condition lasted for an average of 3.7 days (SD 2.6). In the multivariate logistic regression, 64.1% of the delirium variance was explained by the NIHSS scores (RR 1.259, 95%CI 1.035-1.533; p = 0.022). Patients with post-stroke delirium reported higher functional dependence at discharge and the need for more delaying of hospital care to be admitted in rehabilitation units. CONCLUSIONS: At admission, higher scores in the NIHSS evaluation might suggest which patients are at an increased risk of delirium. Avoiding interventions that could potentially increase this risk, together with continuous surveillance, become imperative for nurses who are constantly and closely present by their patients' side, in order to prevent this serious complication.

Delirium Post-Stroke-Influence on Post-Stroke Dementia (Research Study-Part of the PROPOLIS Study).

BACKGROUND: Previous research confirmed association between delirium and subsequent dementia in different clinical settings, but the impact of post-stroke delirium on cognitive functioning is still under-investigated. Therefore, we aimed to assess the risk of dementia among patients with stroke and in-hospital delirium. METHODS: A total of 750 consecutive patients admitted to the stroke unit with acute stroke or transient ischemic attacks were screened for delirium, during the first seven days after admission. At the three- and twelve-month follow-up, patients underwent cognitive evaluation. The DSM-5 definition for dementia was used. Cases with pre-stroke dementia were excluded from the analysis. RESULTS: Out of 691 included cases, 423 (61.22%) and 451 (65.27%) underwent cognitive evaluation, three and twelve months after stroke; 121 (28.61%) and 151 (33.48%) patients were diagnosed with dementia, respectively. Six (4.96%) patients with dementia, three months post-stroke did not meet the diagnostic criteria for dementia nine months later. After twelve months, 37 (24.50%) patients were diagnosed with dementia, first time after stroke. Delirium in hospital was an independent risk factor for dementia after three months (OR = 7.267, 95%CI 2.182-24.207, p = 0.001) but not twelve months after the stroke. CONCLUSIONS: Patients with stroke complicated by in-hospital delirium are at a higher risk for dementia at three but not twelve months post-stroke.

Delirium Post-Stroke: Short- and Long-Term Effect on Depression, Anxiety, Apathy and Aggression (Research Study-Part of PROPOLIS Study).

BACKGROUND: Stroke patients are particularly vulnerable to delirium episodes, but very little is known about its subsequent adverse mental health outcomes. The author's objective was to explore the association between in-hospital delirium and depression, anxiety, anger and apathy after stroke. METHODS: A total of 750 consecutive patients with acute stroke or transient ischemic attack, were screened for delirium during hospitalization. Patients underwent mental health evaluation in hospital, 3 and 12 months post-stroke; depression, apathy, anxiety and anger were the outcomes measured at all evaluation check points. RESULTS: Delirium was an independent risk factor for depression (OR = 2.28, 95%CI 1.15-4.51, p = 0.017) and aggression (OR = 3.39, 95%CI 1.48-7.73, p = 0.004) at the hospital, for anxiety 3 months post-stroke (OR = 2.83, 95%CI 1.25-6.39, p = 0.012), and for apathy at the hospital (OR = 4.82, 95%CI 2.25-10.47, p < 0.001), after 3 (OR = 3.84, 95%CI 1.31-11.21, p = 0.014) and 12 months (OR = 4.95, 95%CI 1.68-14.54, p = 0.004) post stroke. CONCLUSIONS: The results of this study confirm, that mental health problems are very frequent complications of stroke. Delirium in the acute phase of stroke influences mental health of patients. This effect is especially significant in the first months post-stroke and vanishes with time, which suggests that in-hospital delirium might not be a damaging occurrence in most measures of mental health problems from a long-term perspective.

Detecting delirium in patients with acute stroke: a systematic review of test accuracy.

BACKGROUND: Patients with acute stroke are particularly vulnerable to delirium episodes. Although delirium detection is important, no evidence-based recommendations have been established to date on how these patients should be routinely screened for delirium or which tool should be used for this purpose in this population. Therefore, the aim of this study was to identify delirium screening tools for patients with acute stroke and to summarise their accuracy. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search of Medline, CINAHL and Scopus databases was performed to include: (a) diagnostic test accuracy studies; (b) evaluating tools detecting delirium among patients with acute stroke; (c) written in English; (d) published up to September 2018. The included studies were assessed in their quality by using the Quality Assessment of Diagnostic Accuracy Studies-2. RESULTS: A total of four studies have been performed to date in the field with a variable quality for the methodology used and documentation of the accuracy of mainly two tools, as (1) the 4-Assessment Test for delirium (4AT), reporting a range of sensitivity from 90.2 to 100% and a specificity from 64.5 to 86%; and (2) the Confusion Assessment Method-Intensive Care Unit (CAM-ICU) showing a sensitivity of 76% (95% Confidence of Interval [CI] 55-91) and a specificity of 98% (95%CI 93-100). Other tools have been studied as: The Abbreviated Mental Test-10, the Abbreviated Mental Test short form, the Clock Drawing Test, the Cognitive Examination derived from the National Institutes of Health Stroke Scale and the Glasgow Coma Scale. Moreover, the use of a single question-namely, 'Does this patient have cognitive issues?' as answered by the multidisciplinary team-has been subjected to a validation process. CONCLUSIONS: To date a few primary studies have been published to test the accuracy of tools in their ability to detect post-stroke delirium; among those available, the 4AT and the CAM-ICU tools have been mostly studied. Research has just started to add evidence to the challenge of detecting and usefully assessing newly-acquired delirium among stroke patients: therefore, more studies are needed to improve the knowledge and allow a robust selection of the most useful tool to use in this population.

Delirium Screening in Aphasic Patients With the Intensive Care Delirium Screening Checklist (ICDSC): A Prospective Cohort Study.

Background: Ten to thirty percent of stroke patients suffer from post-stroke delirium. This leads to a longer hospital stay and increased mortality. Therefore, early detection and treatment are needed. All established delirium screening tools require some degree of language function. We sought to investigate whether the Intensive Care Delirium Screening Checklist (ICDSC) is suitable for delirium screening in patients with post-stroke aphasia. Methods: A prospective cohort study was carried out in adult patients consecutively admitted to the Stroke Unit of University Hospital Tuebingen, between July 2017 and December 2018. The index test, ICDSC, was compared with the DSM-V diagnostic criteria as reference standard. Measures of diagnostic precision and the degree of agreement were obtained. Results: Three hundred and forty six patients were included in the analysis. Aphasia was present in 231 (66.8%) and absent in 115 (33.2%) patients. Delirium was present in 83 out of 231 (36%) patients with aphasia and 32 out of 115 (27.8%) patients without aphasia (p = 0.132). For patients without aphasia, sensitivity and specificity at the established cut-off value of ≥ 4 points were 100% and 78%, respectively. For patients with aphasia, the test demonstrated inferior performance, with a sensitivity and specificity of 98% and 55%, respectively. It was necessary to increase the cut-off value to ≥ 5 points. Through this, sensitivity was 90% (95% CI, 81.9-95.8%) and specificity was 75% (95% CI, 67.2-81.8%). The degree of agreement to the DSM-V criteria was "substantial" (Cohen's κ = 0.61). Conclusion: For the purpose of delirium screening in patients with aphasia, increasing the ICDSC cut-off value to ≥ 5 points enables effective screening. Further studies are necessary to characterize post-stroke delirium.

The Effects of Delirium Prevention Guidelines on Elderly Stroke Patients.

This study aimed to evaluate the effectiveness of the delirium prevention interventions recommended by the Delirium Prevention Guidelines for Elderly Stroke Patients (DPGESP). The DPGESP comprises nine dimensions with 28 interventions, including risk factor assessment, orientation disorder prevention, sleeping pattern maintenance, sensory interventions, constipation, dehydration, hypoxia and infection prevention, pain management, and appropriate nutrition maintenance. This quasi-experimental study used a nonequivalent control group and a pretest-posttest design. The experimental and control groups each included 54 patients, and the participants were elderly patients who were admitted to the stroke unit. The study outcomes were the delirium incidence and severity, stroke impact, and length of hospitalization. Posttest values for delirium incidence, severity, stroke impact, and length of hospitalization were significantly improved in the experimental group. Implementation of the DPGESP had beneficial effects on the delirium incidence and severity, stroke impact, and length of hospitalization among elderly patients admitted to a stroke unit.

Cigarette smoking is an independent risk factor for post-stroke delirium.

BACKGROUND: Post-stroke delirium is a common problem in the care of stroke patients, and is associated with longer hospitalization, high short-term mortality, and an increased need for long-term care. Although post-stroke delirium occurs in approximately 10 ~ 30% of patients, little is known about the risk factors for post-stroke delirium in patients who experience acute stroke. METHODS: A total of 576 consecutive patients who experienced ischemic stroke (mean age, 65.2 years; range, 23-93 years) were screened for delirium over a 2-year period in an acute stroke care unit of a tertiary referral hospital. We screened for delirium using the Confusion Assessment Method. Once delirium was suspected, we evaluated the symptoms using the Korean Version of the Delirium Rating Scale-Revised-98. Neurological deficits were assessed using the National Institutes of Health Stroke Scale at admission and discharge, and functional ability was assessed using the Barthel Index and modified Rankin Scale at discharge and 3 months after discharge. RESULTS: Thirty-eight (6.7%) patients with stroke developed delirium during admission to the acute stroke care unit. Patients with delirium were significantly older (70.6 vs. 64.9 years of age, P = .001) and smoked cigarettes more frequently (40% vs. 24%, P = .033) than patients without delirium. In terms of clinical features, the delirium group experienced a significantly higher rate of major hemispheric stroke (55% vs. 26%, P < .001), exhibited poorer functional performance at discharge and 3 months after discharge, and stayed in hospital significantly longer. Independent risk factors for delirium were older age, history of cigarette smoking, and major hemispheric stroke. CONCLUSION: Abrupt cessation of cigarette smoking may be a risk factor for post-stroke delirium in ischemic stroke patients. The development of delirium after stroke is associated with worse outcome and longer hospitalization.