Failed endovascular therapy for acute internal carotid artery occlusion from pituitary apoplexy: illustrative case.

BACKGROUND: Large pituitary adenomas can rarely cause compression of the cavernous internal carotid artery (ICA) due to chronic tumor compression or invasion. Here, the authors present a case of pituitary apoplexy causing acute bilateral ICA occlusion with resultant stroke. Our middle-aged patient presented with sudden vision loss and experienced rapid deterioration requiring intubation. Computed tomography (CT) angiography revealed a large pituitary mass causing severe stenosis of the bilateral ICAs. CT perfusion revealed a significant perfusion delay in the anterior circulation. The patient was taken for cerebral angiography, and balloon angioplasty was attempted with no improvement in arterial flow. Resection of the tumor was then performed, with successful restoration of blood flow. Despite restoration of luminal patency, the patient experienced bilateral ICA infarcts. OBSERVATIONS: Pituitary apoplexy can present as an acute stroke due to flow-limiting carotid compression. Balloon angioplasty is ineffective for the treatment of this type of compression. Surgical removal of the tumor restores the flow and luminal caliber of the ICA. LESSONS: Pituitary apoplexy can be a rare presentation of acute stroke and should be managed with immediate surgical decompression rather than attempted angioplasty in order to restore blood flow and prevent the development of cerebral ischemia.

The Effect of Morbid Obesity on Subarachnoid Hemorrhage Prognosis in the United States.

OBJECTIVE: The association between obesity and nontraumatic subarachnoid hemorrhage (SAH) patient outcome is unclear. The aim of this study was to determine the impact of morbid obesity (body mass index ≥40 kg/m2) on nontraumatic SAH outcomes. METHODS: Using the Nationwide Inpatient Sample, we identified hospitalized, nontraumatic SAH patients who received their diagnoses from 2008 to 2013 and tested the effect of obesity on their mortality and clinical outcomes. Odds ratios were estimated with a mixed effects linear logistic model with adjustment for hospital clustering. All statistical testing was 2-sided, with a significance level of 5%. RESULTS: Out of 224,561 discharged patients with a diagnosis of nontraumatic SAH, 4714 (2.10%) were defined as morbidly obese. Patients with morbid obesity were younger (54.3 ± 0.44 vs. 59.5 ± 0.08 years; P < 0.001) and had longer length of stay (LOS) (13 ± 0.46 vs. 11.5 ± 0.06 days; P = 0.002). Morbid obesity was associated with significantly higher hospital costs (P < 0.001) and charges (P < 0.001). The risk of acute respiratory failure was higher in morbidly obese patients (odds ratio [OR] 1.49, 95% confidence interval [CI]: 1.3-1.71, P < 0.001). In a multivariate analysis of hospital mortality, obesity had a negative impact on mortality (OR 0.83, 95% CI: 0.74-0.92, P < 0.001). Overall, in-hospital mortality was associated with age, morbid obesity, LOS, clipping and coiling, and acute respiratory failure but not the symptomatic vasospasm. CONCLUSIONS: Morbid obesity is associated with increased LOS, hospital costs and charges and with acute respiratory failure. However, it is also associated with a decrease in hospital mortality.

Impact of Patients' Income on Stroke Prognosis.

BACKGROUND: For patients diagnosed with stroke, the association between socioeconomic status and patient outcomes is poorly understood. Our objective was to define the impact of patients' socioeconomic status on their prognosis after stroke in the United States. METHODS: Utilizing the Nationwide Inpatient Sample, we identified discharges involving a diagnosis of stroke from 2008 to 2013. Cohort was dichotomized to low-income patients (L-patients) and not-low-income patients (NL-patients). Z-test statistic was used to test the impact of income on stroke outcome. RESULTS: The reported annual total in-hospital mortality for L-patients and NL-patients diagnosed with stroke at U.S. hospitals decreased significantly during the study period (P < .001). The mortality of L-patients decreased significantly from 1759 (4.16%) to 955 (2.54%) during study period. Similarly, NL-patients' mortality decreased significantly from 4818 (4.52%) to 2300 (2.47%) during the same period. The difference between the annual total in-hospital mortality for L-patients and NL-patients due to stroke was statistically significant throughout the entire study period (P < .0001). Notably, from 2008 to 2013, the annual total routine discharges, annual total discharges to short-term hospital, annual total discharges to another institution, and annual total discharges to home health care were statistically significantly different between the 2 populations of patients (P < .0001). CONCLUSIONS: Socioeconomic status has an impact on patient outcome after treatment of stroke in hospitals in the United States. Further study is needed to investigate the etiology of these differences between patients' socioeconomic status and their clinical outcomes after stroke.