1,721,283 research outputs found

    Early stroke care in Italy : a steep way ahead: An observational study

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    Objectives: To measure the performance of selected Italian emergency medical system (EMS) dispatch centres managing calls for patients suffering from stroke. Data on outcome and on early treatment in the ED were collected. Methods: Prospective data collection for a trimester from interventions for a suspected stroke in 13 EMS dispatch centres over five Italian regions. Results: Altogether, 1041 calls for a suspected stroke were analysed. Mean intervals of the sequential phases were 2.3 ± 2 minutes between call and ambulance dispatch, 8.4 ± 5.5 minutes to reach the patient, 14.5 ± 8.5 minutes on the scene, and 40.2 ± 16.2 minutes between call and arrival at the ED. Interventions were performed in 56% of cases by a basic life support (BLS) crew, advanced life support (ALS) crews intervened in 28% of cases, and a combination of ALS and BLS in the remaining 16%. Mean diagnostic interval was 99 ± 85 minutes between emergency system call and the first CT scan. This was performed 71 ± 27 minutes after ED admission. Only 1.6% were admitted to a stroke unit. One month outcome according to GCS was good recovery in 32%, moderate disability in 28%, severe disability in 14%, and death in 25% of the patients. Conclusions: Mean times show a rapid response of the selected EMS dispatch centres to calls for a suspected stroke. Nevertheless, mean times of the ED phase are still unacceptable according to international guidelines such as Brain Attack Coalition and American Stroke Association guidelines. Efforts should be spent to reduce the time between the arrival and the CT scan and more patients should be admitted to a stroke unit

    Traumatic brain injury in an aging population

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    The epidemiology of traumatic brain injury (TBI) is changing in several Western countries, with an increasing proportion of elderly TBI patients admitted to the intensive care unit (ICU). We describe a series of 1366 adult patients admitted to three neuro-ICUs in which 44% of cases were 50 years of age or older. The health status before trauma (rated using the APACHE score) was worse in older patients. In all 604 patients had emergency removal of intracranial masses, with extradural hematomas more frequent in young cases and subdural hematomas more frequent in older patients. Outcomes were classified according to the Glasgow Outcome Scale (GOS) 6 months post-trauma, as favorable (GOS score 4-5), or unfavorable (GOS score 1-3). Favorable outcomes were achieved by 50% of patients, but the proportions of unfavorable outcomes rose with age. Mortality was the main cause of unfavorable outcomes 6 months after injury in older patients. Logistic regression analysis indicates that several parameters independently contributed to outcome, including the motor component of the Glasgow Coma Scale (GCS), pupils, CT findings, and early hypotension. Additionally, the odds ratios were very high for age and health status before TBI. Patients admitted to the ICU are increasingly older, have co-morbidities, and have specific types of intracranial lesions. Early rescue, surgical treatment, and intensive care of these patients may produce excellent results up to the age of 59 years, with favorable outcomes still possible for 39% of cases aged 60-69 years, without an excessive burden of severely disabled patients

    Improving the quality of data entry in a low-budget head injury database

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    BACKGROUND : To assess the efficacy of a centralised review of a voluntary low-budget head injury database with a retrospective analysis of data before and after a centralised review. METHOD: A computerised data collection (Neurolink) on traumatic brain injury cases admitted to three neuro-intensive care units in Milan (Italy): analysis of a three-year period (1999-2001).Data from 499 patients (epidemiology, type of lesion, clinical course, monitoring, treatment, complications and outcome).The audit involved a review of forms relating to patients enrolled in the three-year period, with the aim of improving the quality of data entry. Missing data in all empty fields were identified; evident errors and contradictory data were identified and corrected; missing and final data were analysed to test the efficacy of the review. FINDINGS: The total post-review missing data rate was significantly lower than the paired pre-review missing data rate (p = 0.001).The same was confirmed for each of the 3 years (p = 0.001 for each year). The missing data rate significantly improved over the three-year period (p = 0.001). Data for the pre-hospitalisation period had the highest missing rates; data regarding the ICU stay showed the greatest improvement after the review. A total of 407 items (0.44%) were identified as errors. CONCLUSIONS: Data quality is fundamental to avoid information bias in database analysis. This study indicates that it is possible to generate a serious data collection without significant resources. Audit seems to be an important tool before the final data is used for scientific projects
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