19 research outputs found

    Resolution of Clinical Signs in Trauma Intensive Care Unit Patients Following Diagnosis of Ventilator-Associated Pneumonia

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    PURPOSE: The ATS/IDSA Ventilator-Associated Pneumonia (VAP) guidelines suggest that clinical improvement of VAP should be apparent within 3-6 days. Anecdotally, such improvement has not been noted in trauma patients at our institution. The current study was conducted to evaluate resolution of clinical signs of VAP following diagnosis. METHODS: Critically injured adults admitted to the trauma intensive care unit (TICU) from 6/1/06-12/31/07 and subsequently diagnosed with VAP were retrospectively reviewed. Clinical signs, including derangements of maximum temperature (Tmax), white blood cell (WBC) count and Pa02/FiO2, were evaluated on days 1-16 following VAP diagnosis. Data are presented as mean ± SD unless otherwise stated. Clinical parameters following VAP were compared using repeated measures ANOVA with the Tukey test for multiple comparisons. RESULTS: A total of 82 patients were identified. Data for the 34 patients without concurrent infections are presented. Demographic data include: Age 46 ± 17 years; 71% males; 94% blunt trauma; median (IQR) Injury Severity Score 29.5 (24 to 38); duration of mechanical ventilation 33 ± 27 days; ICU length of stay (LOS) 39 ± 25 days; hospital LOS 53 ± 33 days. Clinical signs following VAP diagnosis (Figure): Tmax (°F): Day 1=101.8 ± 1.3, Day 3=101.1 ± 1.1, Day 6=101.1 ± 1.4, Day 16=100.1 ± 3. Compared to Day 1, there was a significant reduction in Tmax at Days 10, 11, 12, 13, 14 and 16 (p \u3c 0.05 for all). WBC count (cells/μL): Day 1=12.9 ± 5, Day 3=13.7 ± 5, Day 6=14.4 ± 5, Day 16=13.8 ± 6. There was no significant difference in WBC count on Days 1-16 (p=0.42). PaO2/FiO2: Day 1=232 ± 108, Day 3=200 ± 87, Day 6=218 ± 104, Day 16=246 ± 126. Differences in PaO2/FiO2 on Days 1-16 did not reach statistical significance (p=0.06). CONCLUSIONS: In trauma patients, improvement of clinical parameters following diagnosis of VAP is delayed beyond the 3-6 day timeframe suggested in the ATS/IDSA guidelines. Alternative methods for determining resolution of VAP in trauma patients should be investigated. METHODS INTRODUCTIO

    Resolution of Clinical and Laboratory Abnormalities after Diagnosis of Ventilator-Associated Pneumonia in Trauma Patients

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    Background: Guidelines advise that patients with ventilator-associated pneumonia (VAP) should respond clinically by Day 3 of antibiotics. White blood cell (WBC) count, maximum temperature (Tmax), and PaO2:FIO2 ratio are all said to respond significantly by Day 6. Resolution of abnormalities has not been evaluated in trauma patients. Methods: Retrospective review of trauma patients with VAP. The WBC count, Tmax, and PaO2:FIO2 were evaluated for 16 days after diagnosis. Patients were grouped into uncomplicated VAP, complicated VAP (those with inadequate empirical therapy [IEAT], VAP relapse/superinfection, or acute respiratory distress syndrome), and concurrent infection +VAP (those also infected at another site). Results: There were 126 patients (uncomplicated VAP= 29, complicated VAP = 69, and concurrent infection + VAP = 28). The mean Tmax in patients with uncomplicated VAP decreased significantly from diagnosis to Day 4 (Day 1: 39 – 0.5°C vs. Day 4: 38.6 – 0.7°C; p = 0.028) but never normalized. Their WBC counts and PaO2:FIO2 did not change significantly over the 16-day follow-up and never normalized.When comparing the three groups, the probability of resolving all three abnormalities was not different (p = 0.5). Conclusions: Clinical and laboratory abnormalities in critically injured patients with VAP do not resolve as quickly as suggested in the guidelines. Future studies should evaluate new methods to determine the response to antibiotic therapy in critically injured patients with VAP

    Vampires in the village Žrnovo on the island of Korčula: following an archival document from the 18th century

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    Središnja tema rada usmjerena je na raščlambu spisa pohranjenog u Državnom arhivu u Mlecima (fond: Capi del Consiglio de’ Dieci: Lettere di Rettori e di altre cariche) koji se odnosi na događaj iz 1748. godine u korčulanskom selu Žrnovo, kada su mještani – vjerujući da su se pojavili vampiri – oskvrnuli nekoliko mjesnih grobova. U radu se podrobno iznose osnovni podaci iz spisa te rečeni događaj analizira u širem društvenom kontekstu i prate se lokalna vjerovanja.The main interest of this essay is the analysis of the document from the State Archive in Venice (file: Capi del Consiglio de’ Dieci: Lettere di Rettori e di altre cariche) which is connected with the episode from 1748 when the inhabitants of the village Žrnove on the island of Korčula in Croatia opened tombs on the local cemetery in the fear of the vampires treating. This essay try to show some social circumstances connected with this event as well as a local vernacular tradition concerning superstitions

    Long-term survival and return on investment after nonneurologic injury: Implications for the elderly trauma patient

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    Background: As the population of the United States ages and as the healthcare system undergoes significant change, cost effectiveness of care will become more important, particularly for older injured patients. The purpose of this study was to evaluate the cost per 2-year survivor stratified by age after moderate- to severe-nonneurologic injury. Methods: The trauma registry from a Level I trauma center was queried for adults (older than 18 years), discharged alive after blunt injury (Injury Severity Score \u3e15), without significant neurologic injury, and with hospital charge data. Survival was determined using the Social Security Death Master File. Patients were stratified by age. Hospital costs were calculated by multiplying hospital charge by the cost to charge ratio. Results: One thousand nine hundred fourteen patients made up the study population. Mean hospital cost per patient was 10,021.Meancostper2yearsurvivorwas10,021. Mean cost per 2-year survivor was 10,328. Overall 2-year survival was 97%. (*p \u3c 0.05 vs. youngest). When broken down by age group, there were no significant differences in hospital costs. However, 2-year survival was significantly less in those who were 55.1 years to 75 years old and those older than 75 years, when compared with those aged 18 years to 25 years. Thus, median cost per 2-year survivor was highest in those older than 75 years ($8,911). Conclusion: Although costs are similar by age at time of discharge, cost per 2-year survivor increases as age increases. However, cost per 2-year survivor does not exceed current cost-utility thresholds for any age group. Any future healthcare financing reforms should include aggressive funding for injury prevention efforts aimed at vulnerable populations instead of rationing care once an injury occur

    Location, location, location: Utilizing Needs-Based Assessment of Trauma Systems-2 in trauma system planning

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    BACKGROUND In 2015, the American College of Surgeons Committee on Trauma introduced the Needs-Based Assessment of Trauma Systems (NBATS) tool to quantify the optimal number of trauma centers for a region. While useful, more focus was required on injury population, distribution, and transportation systems. Therefore, NBATS-2 was developed utilizing advanced geographical modeling. The purpose of this study was to evaluate NBATS-2 in a large regional trauma system. METHODS Data from all injured patients from 2016 to 2017 with an Injury Severity Score greater than 15 was collected from the trauma registry of the existing (legacy) center. Injury location and demographics were analyzed by zip code. A regional map was built using US census data to include hospital and population demographic data by zip code. Spatial modeling was conducted using ArcGIS to estimate an area within a 45-minute drive to a trauma center. RESULTS A total of 1,795 severely injured patients were identified across 54 counties in the tri-state region. Forty-eight percent of the population and 58% of the injuries were within a 45-minute drive of the legacy trauma center. With the addition of another urban center, injured and total population coverage increased by only 1% while decreasing the volume to the existing center by 40%. However, the addition of two rural trauma centers increased coverage significantly to 62% of the population and 71% of the injured (p \u3c 0.001). The volume of the legacy center was decreased by 25%, but the self-pay rate increased by 16%. CONCLUSION The geospatial modeling of NBATS-2 adds a new dimension to trauma system planning. This study demonstrates how geospatial modeling applied in a practical tool can be incorporated into trauma system planning at the local level and used to assess changes in population and injury coverage within a region, as well as potential volume and financial implications to a current system. LEVEL OF EVIDENCE Care management/economic, level V

    Resolution of Clinical and Laboratory Abnormalities after Diagnosis of Ventilator-Associated Pneumonia in Trauma Patients

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    Background: Guidelines advise that patients with ventilator-associated pneumonia (VAP) should respond clinically by Day 3 of antibiotics. White blood cell (WBC) count, maximum temperature (Tmax), and PaO2:FIO2 ratio are all said to respond significantly by Day 6. Resolution of abnormalities has not been evaluated in trauma patients. Methods: Retrospective review of trauma patients with VAP. The WBC count, Tmax, and PaO2:FIO2 were evaluated for 16 days after diagnosis. Patients were grouped into uncomplicated VAP, complicated VAP (those with inadequate empirical therapy [IEAT], VAP relapse/superinfection, or acute respiratory distress syndrome), and concurrent infection +VAP (those also infected at another site). Results: There were 126 patients (uncomplicated VAP= 29, complicated VAP = 69, and concurrent infection + VAP = 28). The mean Tmax in patients with uncomplicated VAP decreased significantly from diagnosis to Day 4 (Day 1: 39 – 0.5°C vs. Day 4: 38.6 – 0.7°C; p = 0.028) but never normalized. Their WBC counts and PaO2:FIO2 did not change significantly over the 16-day follow-up and never normalized.When comparing the three groups, the probability of resolving all three abnormalities was not different (p = 0.5). Conclusions: Clinical and laboratory abnormalities in critically injured patients with VAP do not resolve as quickly as suggested in the guidelines. Future studies should evaluate new methods to determine the response to antibiotic therapy in critically injured patients with VAP
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