Articles: neurocritical-care.
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Helicopter medical transportation (HMT) is a valuable resource that can expedite medical care by shortening transferring times. However, there is conflicting evidence regarding its cost and efficacy. No specific studies have addressed its use in patients transferred to the neuroscience intensive care unit (NSICU). ⋯ The majority of patients who were transferred via HMT did not undergo TSIs, and among those who underwent TSIs, approximately one in six was transported from a hospital located less than 60 miles away from the NSICU; the distances of ground and air transportation are equivalent. Helicopter transfers may play a role in subarachnoid hemorrhage management. A significant expense was incurred by using HMT for the majority of patients (75%) who did not undergo TSIs.
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Patients who require readmission to an intensive care unit (ICU) after transfer to a lower level of care ("bounceback") suffer from increased mortality and longer hospital stays. We aimed to create a multifaceted standardized transfer process for patients moving from the neurointensive care unit (neuro-ICU) to a lower level of care. We hypothesized that this process would lead to improvement in provider-rated safety and a decreased rate of bouncebacks to the neuro-ICU after transfer. ⋯ Patients who bounceback to the neuro-ICU within 48 h had an increased length of hospital stay, had an increased length of ICU stay, and were more likely to be intubated for more than 96 h. Implementation of a standardized five-step transfer process from the neuro-ICU to a lower level of care resulted in improvement in multiple provider-rated safety outcomes and identification of high-risk patients but led to no difference in the patient bounceback rate or patient disposition at discharge.
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Cortical spreading depolarizations (CSDs) are associated with worse outcomes in patients with aneurysmal subarachnoid hemorrhage (SAH). Animal models are required to assess whether CSDs can worsen outcomes or are an epiphenomenon; however, little is known about the presence of CSDs in existing animal models. Therefore, we designed a study to determine whether CSDs occur in a mouse model of SAH. ⋯ The prechiasmatic injection model of SAH includes CSDs that occur at the time of needle insertion. The occurrence of subsequent CSDs depends on the timing between CSD1 and blood injection. The mouse prechiasmatic injection model could be considered an SAH plus CSD model of the disease. Further work is needed to determine the effect of multiple CSDs on outcomes following SAH.
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Cortical spreading depolarizations (CSDs) are associated with worse outcomes in many forms of acute brain injury, including traumatic brain injury (TBI). Animal models could be helpful in developing new therapies or biomarkers to improve outcomes in survivors of TBI. Recently, investigators have observed CSDs in murine models of mild closed head injury (CHI). We designed the currently study to determine additional experimental conditions under which CSDs can be observed, from mild to relatively more severe TBI. ⋯ The data suggest that a lower baseline cerebral blood flow prior to injury may contribute to the occurrence of a CSD. Furthermore, a CSD at the time of injury can be associated with worse cognitive outcome under the appropriate experimental conditions in a mouse CHI model of TBI.
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We aim to evaluate the role of frailty and inflammatory markers in predicting the short-term outcomes after catheter-associated urinary tract infections (CAUTI) and central line-associated bloodstream infections (CLABSI). ⋯ One hundred and one patients with CAUTI (n = 71) and CLABSI (n = 30) between January 2018 and December 2019 were included in this study. The pooled incidence rates for CAUTI were 5.50 and for CLABSI 3.58 episodes/1000 catheter-days. We observed 74.7% drug resistance in our CAUTI isolates and 93.3% in CLABSI. In the multivariate analysis, frailty (P = 0.006), neutrophil/lymphocyte ratio (NLR) (P = 0.007) and the presence of sepsis (P = 0.029) were found to be significant predictors of in-hospital mortality in CAUTI. In patients with CLABSI, frailty (P = 0.029) and NLR (P = 0.029) were found significant and along with sepsis (P = 0.069) resulted in a regression model with good accuracy in predicting mortality. The receiver operating characteristic curve showed that 11-point Modified Frailty Index and NLR as well as the regression model significantly predicted mortality with an area under the curve of 86.1%, 81.4%, and 95.4%, respectively, in CAUTI, and 70.9%, 77.8%, and 95.2%, respectively, in CLABSI.