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1.
J Neurol Sci ; 416: 117036, 2020 09 15.
Article in English | MEDLINE | ID: mdl-32693247

ABSTRACT

OBJECTIVE: To account for factors affecting family approach and consent for organ donation after brain death (BD). MATERIAL AND METHODS: A prospective cohort study in a large, tertiary, urban hospital, where we reviewed the database of all brain-dead patients between January 2006 and December 2017 cross-matched with local organ procurement organization (OPO) records. RESULTS: Two-hundred sixty-six brain-dead patients were included (55% African Americans (AAs)). Two-hundred twenty-two were approached for donation. The reason for not approaching families was medical exclusion due to cancer or multi-organ failure. Patient demographics or religion were not associated with approaching families. Lower creatinine level was the only independent factor associated with higher approach. Consent rate for organ donation was 72.5%. Consent was significantly higher in Caucasians (89% vs 62% for AAs), younger patients (46.7 vs 52.5 years old), in patients with lower creatinine at time of death (1.7 vs 2.4 mg/dL), patients for whom apnea testing was completed (92% vs 80%) and patients with diabetes insipidus (DI) (72% vs 54%). There was no significant relationship between consent and patient gender, admission diagnosis, number of examinations or completion of a confirmatory test. In a logistic regression model, only AA race independently predicted consent for donation (odds, 95% CI, 0.27, 0.12-0.57 p < .001). In a different model, apnea test completion was an additional independent predictor (3.66, 1.28-10.5 p = .015). CONCLUSIONS: Approaching families for organ donation consent was associated with medical suitability only and not with demographic or religious characteristics. AAs were 3.7 times less likely to consent for organ donation than non-AAs. Completion of apnea testing was associated with higher consent rates, an observation that needs to be explored in future studies documenting the effect on bedside family presence during this test.


Subject(s)
Brain Death , Tissue and Organ Procurement , Family , Humans , Informed Consent , Middle Aged , Prospective Studies , Registries
4.
Int J Neurosci ; 124(3): 192-8, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24007334

ABSTRACT

PURPOSE: Clevidipine is a novel, ultra-short acting dihydropyridine. We hypothesized that clevidipine would rapidly control elevated blood pressure (BP) in patients with aneurysmal subarachnoid hemorrhage (SAH). MATERIALS AND METHODS: This prospective open-label pilot study evaluated the efficacy and safety of clevidipine in reducing blood pressure (BP) to a pre-specified range and within 30 min before or after clipping or coiling of the aneurysm. RESULTS: We enrolled five patients who received eight clevidipine infusions, including 1587 systolic or diastolic BP data points. The mean SBP upper and lower goals were set at 154 and 122 mmHg. The primary end point of achieving SBP control within <30 min was reached in all patients within 14.2 ± 6.4 min at an infusion rate of 10.8 ± 9.1 mg/h. The mean pre-infusion, during infusion and post-infusion SBP measurements were 165.5 ± 2.55, 146.4 ± 2.48 and 159.3 ± 11.5 mmHg ( p < 0.05 for pre- vs infusion comparison), respectively. After reaching the primary end point and during the clevidipine infusion, 17.5% and 11.8% of SBP readings were above the upper and below the lower goals, respectively. No patients re-bled. In one patient, the infusion had to be stopped temporarily three times due to SBP decrease below the lower goal. CONCLUSION: Clevidipine controlled SBP in all patients with aneurysmal SAH in <22 min and kept it within the elective range 70% of the time without major complications.


Subject(s)
Calcium Channel Blockers/therapeutic use , Hypertension/drug therapy , Hypertension/etiology , Pyridines/therapeutic use , Subarachnoid Hemorrhage/complications , Adolescent , Adult , Aged , Aged, 80 and over , Blood Pressure/drug effects , Female , Glasgow Coma Scale , Heart Rate/drug effects , Humans , Male , Middle Aged , Pilot Projects , Retrospective Studies , Young Adult
6.
J Neurol Sci ; 279(1-2): 53-6, 2009 Apr 15.
Article in English | MEDLINE | ID: mdl-19195663

ABSTRACT

BACKGROUND: Reduced serum high-density lipoprotein (HDL-C) is an independent risk factor for ischemic stroke in elderly men. The temporal and quantitative relationships between HDL-C and acute ischemic stroke have not been defined. METHODS: We identified patients with first ever acute ischemic stroke presenting to our hospital between 2003 and 2006. Patients with serum fasting lipid levels drawn within 24 h of admission and at least one follow-up visit with a neurologist in our hospital were included. Clinical and laboratory data before, immediately after, and several weeks after the index stroke were collected. RESULTS: 191 patients were included (47% women, mean age 62 years). The mean time interval between pre-stroke lipid data and index stroke was 5.2 months; 50% of these patients were taking a statin medication. The mean time interval between index stroke and follow-up lipid testing was 2.6 months. Immediately after the index stroke, HDL-C levels decreased by 18% (p<0.001) relative to pre-stroke levels. This phenomenon was independent of stroke severity, and was blunted among patients with a prior history of myocardial infarction (p<0.01). HDL-C levels increased to pre-stroke levels within 3 months post-stroke. CONCLUSIONS: HDL-C levels decrease significantly at the time of acute ischemic stroke. Prior history of myocardial infarction diminishes HDL-C depression at the time of stroke. HDL-C may be an acute phase reactant or nascent biomarker of acute stroke susceptibility. Further prospective studies are needed.


Subject(s)
Brain Ischemia/blood , Lipoproteins, HDL/blood , Stroke/blood , Adult , Aged , Aged, 80 and over , Brain Ischemia/complications , Brain Ischemia/drug therapy , Female , Follow-Up Studies , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Male , Middle Aged , Multivariate Analysis , Myocardial Infarction/complications , Regression Analysis , Risk Factors , Severity of Illness Index , Stroke/complications , Stroke/drug therapy , Time Factors
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