Socioeconomic status does not predict cocaine use among ischemic stroke patients: A nested case-control study

Previous studies of cocaine use and stroke have focused on acute effects of cocaine in perceived high-risk populations. We characterized mechanisms and risk factors for cocaine use among ischemic stroke patients from a broad range of socioeconomic backgrounds to inform medical management decisions and prevention efforts. We studied consecutive adults admitted with acute ischemic stroke to our institution between January 2007 and December 2010 with a history or laboratory confirmation of cocaine use. Age, sex, and race-matched cocaine-negative controls were derived from the same study population. Demographics, risk factors, clinical and imaging data were compared between groups. Among 4073 acute ischemic stroke patients, 91 (2.2%) had a history of cocaine use and/or a positive toxicology screen (cases). Cocaine abusers did not differ from controls by occupation, income, or educational level ( P  > 0.5). Active tobacco use independently increased the odds of cocaine use among stroke patients (odds ratio 3.9, 95% confidence interval 2.0–7.5), as did the history of migraine (odds ratio 2.5, 95% confidence interval 1.1–5.9). Stroke subtype also predicted cocaine use among stroke patients (odds ratio 0.73, 95% confidence interval 0.58–0.93). Stroke patients with current or past cocaine use could not be distinguished from non-users by socioeconomic factors. Liberal use of toxicology screening among a much broader population of patients is needed for proper identification and management. Further study of causal mechanisms for cardioembolism in cocaine-associated stroke is warranted

Advanced Age and Post–Acute Care Outcomes After Subarachnoid Hemorrhage

Background: Older patients with aneurysmal subarachnoid hemorrhage (aSAH) are unique, and determinants of post–acute care outcomes are not well elucidated. The primary objective was to identify hospital characteristics associated with 30‐day readmission and mortality rates after hospital discharge among older patients with aSAH. Methods and Results: This cohort study used Medicare patients ≥65 years discharged from US hospitals from January 1, 2008, to November 30, 2010, after aSAH. Medicare data were linked to American Hospital Association data to describe characteristics of hospitals treating these patients. Using multivariable logistic regression to adjust for patient characteristics, hospital factors associated with (1) hospital readmission and (2) mortality within 30 days after discharge were identified. A total of 5515 patients ≥65 years underwent surgical repair for aSAH in 431 hospitals. Readmission rate was 17%, and 8.5% of patients died within 30 days of discharge. In multivariable analyses, patients treated in hospitals with lower annualized aSAH volumes were more likely to be readmitted 30 days after discharge (lowest versus highest quintile, 1–2 versus 16–30 cases; adjusted odds ratio, 2.10; 95% confidence interval, 1.56–2.84). Patients treated in hospitals with lower annualized aSAH volumes (lowest versus highest quintile: adjusted odds ratio, 1.52; 95% confidence interval, 1.05–2.19) had a greater likelihood of dying 30 days after discharge. Conclusions: Older patients with aSAH discharged from hospitals treating lower volumes of such cases are at greater risk of readmission and dying within 30 days. These findings may guide clinician referrals, practice guidelines, and regulatory policies influencing which hospitals should care for older patients with aSAH