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1.
Front Cardiovasc Med ; 10: 1200441, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37522079

RESUMO

Sepsis is a life-threatening disease state characterized by organ dysfunction and a dysregulated response to infection. The heart is one of the many organs affected by sepsis, in an entity termed sepsis-induced cardiomyopathy. This was initially used to describe a reversible depression in ejection fraction with ventricular dilation but advances in echocardiography and introduction of new techniques such as speckle tracking have led to descriptions of other common abnormalities in cardiac function associated with sepsis. This includes not only depression of systolic function, but also supranormal ejection fraction, diastolic dysfunction, and right ventricular dysfunction. These reports have led to inconsistent definitions of sepsis-induced cardiomyopathy. Just as there is heterogeneity among patients with sepsis, there is heterogeneity in the cardiac response; thus resuscitating these patients with a single approach is likely suboptimal. Many factors affect the heart in sepsis including inflammatory mediators, catecholamine responsiveness, and pathogen related toxins. This review will discuss different functional effects characterized by echocardiographic changes in sepsis and their prognostic and management implications.

3.
Ann Surg ; 265(2): 418-423, 2017 02.
Artigo em Inglês | MEDLINE | ID: mdl-28059971

RESUMO

PREMISE: Although trauma may be considered a random act, geographical patterns of trauma potentially emerge. Our institution is unique in that it rests at an intersection of two of the highest areas of poverty and assault in New York City and has adequate data to analyze these patterns. METHODS: We review the incident reports logged by emergency medical services (EMS) technicians arriving with intentionally injured trauma patients from January 1 to December 31, 2013 at a single institution. After acquisition of this data, it was placed into a computer file using an individual identifying numbers for each incident along with latitude and longitude coordinates determined by global positioning software for each event. The data were separated into blunt and penetrating categories. Penetrating trauma was further separated into the type of instrument used: edged weapon or firearm. Kernel density estimate using the Crimestat program was then performed to determine the epicenters with the highest incidents of nonaccidental trauma. RESULTS: Two hundred eighty-three patients were evaluated for assault-related trauma. Two hundred fifty-four patients were included in the mapping of the data with almost equal blunt and penetrating trauma. Seventy-four percent of trauma occurred from 6 PM to 6 AM, and 41% occurring between midnight and 6 AM. Of patients, 32.7% were found to be assaulted at their home address. Regression analysis demonstrated that each type of trauma had unique epicenters of likelihood for occurrence. CONCLUSIONS: We can only speculate the reasons for many of these results at this time and further research into the sociological, psychological, and environmental factors is required. A high proportion of patients are assaulted at their home addresses. Further study is necessary to improve patient care with additional data provided by emergency medical services, police departments and surrounding hospitals.


Assuntos
Sistemas de Informação Geográfica , Mapeamento Geográfico , Violência/estatística & dados numéricos , Ferimentos não Penetrantes/epidemiologia , Ferimentos Penetrantes/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , Cidade de Nova Iorque/epidemiologia , Projetos Piloto , Estudos Retrospectivos , Análise Espaço-Temporal , Centros de Traumatologia , Adulto Jovem
4.
Crit Care Med ; 44(12): 2182-2191, 2016 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-27513358

RESUMO

OBJECTIVE: The Lung Injury Prediction Score identifies patients at risk for acute respiratory distress syndrome in the emergency department, but it has not been validated in non-emergency department hospitalized patients. We aimed to evaluate whether Lung Injury Prediction Score identifies non-emergency department hospitalized patients at risk of developing acute respiratory distress syndrome at the time of critical care contact. DESIGN: Retrospective study. SETTING: Five academic medical centers. PATIENTS: Nine hundred consecutive patients (≥ 18 yr old) with at least one acute respiratory distress syndrome risk factor at the time of critical care contact. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Lung Injury Prediction Score was calculated using the worst values within the 12 hours before initial critical care contact. Patients with acute respiratory distress syndrome at the time of initial contact were excluded. Acute respiratory distress syndrome developed in 124 patients (13.7%) a median of 2 days (interquartile range, 2-3) after critical care contact. Hospital mortality was 22% and was significantly higher in acute respiratory distress syndrome than non-acute respiratory distress syndrome patients (48% vs 18%; p < 0.001). Increasing Lung Injury Prediction Score was significantly associated with development of acute respiratory distress syndrome (odds ratio, 1.31; 95% CI, 1.21-1.42) and the composite outcome of acute respiratory distress syndrome or death (odds ratio, 1.26; 95% CI, 1.18-1.34). A Lung Injury Prediction Score greater than or equal to 4 was associated with the development of acute respiratory distress syndrome (odds ratio, 4.17; 95% CI, 2.26-7.72), composite outcome of acute respiratory distress syndrome or death (odds ratio, 2.43; 95% CI, 1.68-3.49), and acute respiratory distress syndrome after accounting for the competing risk of death (hazard ratio, 3.71; 95% CI, 2.05-6.72). For acute respiratory distress syndrome development, the Lung Injury Prediction Score has an area under the receiver operating characteristic curve of 0.70 and a Lung Injury Prediction Score greater than or equal to 4 has 90% sensitivity (misses only 10% of acute respiratory distress syndrome cases), 31% specificity, 17% positive predictive value, and 95% negative predictive value. CONCLUSIONS: In a cohort of non-emergency department hospitalized patients, the Lung Injury Prediction Score and Lung Injury Prediction Score greater than or equal to 4 can identify patients at increased risk of acute respiratory distress syndrome and/or death at the time of critical care contact but it does not perform as well as in the original emergency department cohort.


Assuntos
Lesão Pulmonar/diagnóstico , Síndrome do Desconforto Respiratório/diagnóstico , Índice de Gravidade de Doença , Idoso , Feminino , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Pessoa de Meia-Idade , Reprodutibilidade dos Testes , Síndrome do Desconforto Respiratório/etiologia , Estudos Retrospectivos , Fatores de Risco , Sensibilidade e Especificidade
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