Door-in-Door-Out Times at Referring Hospitals and Outcomes of Hemorrhagic Stroke.

STUDY OBJECTIVE: Interhospital transfer is often required in the care of patients with hemorrhagic stroke. Guidelines recommend a door-in-door-out (DIDO) time of ≤120 minutes at the transferring emergency department (ED); however, it is unknown whether DIDO times are related to clinical outcomes of hemorrhagic stroke. METHODS: Retrospective, observational cohort study using US registry data from Get With The Guidelines-Stroke participating hospitals. Patients include those aged ≥18 years with intracerebral hemorrhage (ICH) or subarachnoid hemorrhage (SAH) who were transferred from the ED to a Get With The Guidelines participating receiving hospital from January 1, 2019, to July 31, 2022. The primary outcome was ordinal discharge modified Rankin scale (mRS) score and secondary outcomes included dichotomous discharge mRS, ability to ambulate independently at discharge, and inhospital mortality at the receiving hospital. RESULTS: In all, 19,708 ICH and 7,757 patients with SAH were included. For patients with ICH, an increasing DIDO time was associated with greater odds of mRS 0 to 3 versus 4 to 6 at discharge in the unadjusted analyses (DIDO 91 to 180 minutes, odds ratio [OR] 1.15 [1.04 to 1.27]; DIDO 181 to 270 minutes, OR 1.51 [1.33, 1.71]; DIDO >270 minutes, OR 1.83 [1.58, 2.11]; versus DIDO ≤90 minutes). In the adjusted analyses, no associations were observed. Similar results were seen for mRS at discharge in patients with SAH. In both patients with ICH and SAH, longer DIDO times were associated with greater odds of independent ambulation at discharge and lower odds of inhospital mortality in the unadjusted analyses. After adjustment, the effect sizes of these associations were reduced, with some of the results based on quartiles becoming statistically nonsignificant. CONCLUSION: These findings suggest that EDs currently expedite the transfer of the sickest patients; however, prospective studies and more granular data are needed to understand the impact of early treatment and timing of transfer for patients with hemorrhagic stroke.

Risk Factors for Opioid Utilization in Patients with Intracerebral Hemorrhage.

BACKGROUND: Headache is a common presenting symptom of intracerebral hemorrhage (ICH) and often necessitates treatment with opioid medications. However, opioid prescribing patterns in patients with ICH are not well described. We aimed to characterize the prevalence and risk factors for short and longer-term opioid use in patients with ICH. METHODS: We conducted a retrospective cohort study using data from a single-center registry of patients with nontraumatic ICH. This registry included data on demographics, ICH-related characteristics, and premorbid, inpatient, and postdischarge medications. After excluding patients who died or received end-of-life care, we used multivariable regression models adjusted for premorbid opioid use to determine demographic and ICH-related risk factors for inpatient and postdischarge opioid use. RESULTS: Of 468 patients with ICH in our cohort, 15% (n = 70) had premorbid opioid use, 53% (n = 248) received opioids during hospitalization, and 12% (n = 53) were prescribed opioids at discharge. The most commonly used opioids during hospitalization were fentanyl (38%), oxycodone (30%), morphine (26%), and hydromorphone (7%). Patients who received opioids during hospitalization were younger (univariate: median [interquartile range] 64 [53.5-74] vs. 76 [67-83] years, p < 0.001; multivariable: odds ratio [OR] 0.96 per year, 95% confidence interval [CI] 0.94-0.98) and had larger ICH volumes (univariate: median [interquartile range] 10.1 [2.1-28.6] vs. 2.7 [0.8-9.9] cm3, p < 0.001; multivariable: OR 1.05 per cm3, 95% CI 1.03-1.08) than those who did not receive opioids. All patients who had external ventricular drain placement and craniotomy/craniectomy received inpatient opioids. Additional risk factors for increased inpatient opioid use included infratentorial ICH location (OR 4.8, 95% CI 2.3-10.0), presence of intraventricular hemorrhage (OR 3.9, 95% CI 2.2-7.0), underlying vascular lesions (OR 3.0, 95% CI 1.1-8.1), and other secondary ICH etiologies (OR 7.5, 95% CI 1.7-32.8). Vascular lesions (OR 4.0, 95% CI 1.3-12.5), malignancy (OR 5.0, 95% CI 1.5-16.4), vasculopathy (OR 10.0, 95% CI 1.8-54.2), and other secondary etiologies (OR 7.2, 95% CI 1.8-29.9) were also risk factors for increased opioid prescriptions at discharge. Among patients who received opioid prescriptions at discharge, 43% (23 of 53) continued to refill their prescriptions at 3 months post discharge. CONCLUSIONS: Inpatient opioid use in patients with ICH is common, with some risk factors that may be mechanistically connected to primary headache pathophysiology. However, the lower frequency of opioid prescriptions at discharge suggests that inpatient opioid use does not necessarily lead to a high rate of long-term opioid dependence in patients with ICH.

Risk Factors for Intracerebral Hemorrhage in Patients With Atrial Fibrillation on Non-Vitamin K Antagonist Oral Anticoagulants for Stroke Prevention.

[Figure: see text].

Level of consciousness at discharge and associations with outcome after ischemic stroke.

BACKGROUND: Many factors may potentially complicate the stroke recovery process, including persistently impaired level of consciousness (LOC)-whether from residual stroke effects or from superimposed delirium. We aimed to determine the degree to which impaired LOC at hospital discharge is associated with outcomes after ischemic stroke. METHODS: We conducted a single-center retrospective cohort study using prospectively-collected data from 2015 to 2017, collecting total NIHSS-LOC score at discharge as well as subscores for responsiveness (LOC-R), orientation questions (LOC-Q), and command-following (LOC-C). We determined associations between LOC scores and 3-month outcome using logistic regression, with discharge location (skilled nursing facility [SNF] vs. inpatient rehabilitation) representing a pre-specified secondary outcome. RESULTS: We identified 1003 consecutive patients with ischemic stroke who survived to discharge, of whom 32% had any LOC score > 0. Total LOC score at discharge was associated with unfavorable 3-month outcome (OR 4.9 [95% CI 2.4-9.8] for LOC = 1; OR 8.0 [2.7-23.9] for LOC = 2-3; OR 6.3 [2.1-18.5] for LOC = 4-5; all patients with LOC = 6-7 had poor outcomes), as were subscores for LOC-R (OR 5.3 [1.3-21.2] for LOC-R = 1; all patients with LOC-R = 2-3 had poor outcomes) and LOC-Q (OR 4.1 [2.1-8.3] for LOC-Q = 1; OR 4.9 [1.8-13.5] for LOC-Q = 2). Total LOC score (OR 2.6 [1.3-5.3] for LOC = 1; OR 3.1 [1.2-8.2] for LOC = 2-3) and LOC-Q (OR 3.3 [1.6-6.6] for LOC-Q = 1; OR 3.4 [1.3-9.0] for LOC-Q = 2) were also associated with discharge to SNF rather than to inpatient rehabilitation. CONCLUSIONS: The presence of impaired consciousness or disorientation at discharge is associated with markedly worse outcomes after ischemic stroke. Further studies are necessary to determine the separate effects of residual stroke-related LOC changes and those caused by superimposed delirium.

Baseline NIH Stroke Scale is an inferior predictor of functional outcome in the era of acute stroke intervention.

Background and aims Baseline National Institutes of Health Stroke Scale (NIHSS) scores have frequently been used for prognostication after ischemic stroke. With the increasing utilization of acute stroke interventions, we aimed to determine whether baseline NIHSS scores are still able to reliably predict post-stroke functional outcome. Methods We retrospectively analyzed prospectively collected data from a high-volume tertiary-care center. We tested strength of association between NIHSS scores at baseline and 24 h with discharge NIHSS using Spearman correlation, and diagnostic accuracy of NIHSS scores in predicting favorable outcome at three months (defined as modified Rankin Scale 0-2) using receiver operating characteristic curve analysis with area under the curve. Results There were 1183 patients in our cohort, with median baseline NIHSS 8 (IQR 3-17), 24-h NIHSS 4 (IQR 1-11), and discharge NIHSS 2 (IQR 1-8). Correlation with discharge NIHSS was r = 0.60 for baseline NIHSS and r = 0.88 for 24-h NIHSS. Of all patients with follow-up data, 425/1037 (41%) had favorable functional outcome at three months. Receiver operating characteristic curve analysis for predicting favorable outcome showed area under the curve 0.698 (95% CI 0.664-0.732) for baseline NIHSS, 0.800 (95% CI 0.772-0.827) for 24-h NIHSS, and 0.819 (95% CI 0.793-0.845) for discharge NIHSS; 24 h and discharge NIHSS maintained robust predictive accuracy for patients receiving mechanical thrombectomy (AUC 0.846, 95% CI 0.798-0.895; AUC 0.873, 95% CI 0.832-0.914, respectively), while accuracy for baseline NIHSS decreased (AUC 0.635, 95% CI 0.566-0.704). Conclusion Baseline NIHSS scores are inferior to 24 h and discharge scores in predicting post-stroke functional outcomes, especially in patients receiving mechanical thrombectomy.