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1.
West J Emerg Med ; 18(2): 253-257, 2017 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-28210361

RESUMO

INTRODUCTION: We sought to compare three hospital cost-estimation models for patients undergoing evaluation for unexplained syncope using hospital cost data. Developing such a model would allow researchers to assess the value of novel clinical algorithms for syncope management. METHODS: We collected complete health services data, including disposition, testing, and length of stay (LOS), on 67 adult patients (age 60 years and older) who presented to the emergency department (ED) with syncope at a single hospital. Patients were excluded if a serious medical condition was identified. We created three hospital cost-estimation models to estimate facility costs: V1, unadjusted Medicare payments for observation and/or hospital admission; V2: modified Medicare payment, prorated by LOS in calendar days; and V3: modified Medicare payment, prorated by LOS in hours. Total hospital costs included unadjusted Medicare payments for diagnostic testing and estimated facility costs. We plotted these estimates against actual cost data from the hospital finance department, and performed correlation and regression analyses. RESULTS: Of the three models, V3 consistently outperformed the others with regard to correlation and goodness of fit. The Pearson correlation coefficient for V3 was 0.88 (95% confidence interval [CI] 0.81, 0.92) with an R-square value of 0.77 and a linear regression coefficient of 0.87 (95% CI 0.76, 0.99). CONCLUSION: Using basic health services data, it is possible to accurately estimate hospital costs for older adults undergoing a hospital-based evaluation for unexplained syncope. This methodology could help assess the potential economic impact of implementing novel clinical algorithms for ED syncope.


Assuntos
Serviço Hospitalar de Emergência/economia , Síncope/economia , Síncope/terapia , Idoso , Idoso de 80 Anos ou mais , Algoritmos , Feminino , Humanos , Tempo de Internação/economia , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Modelos Econômicos , Admissão do Paciente/economia , Estudos Prospectivos , Melhoria de Qualidade/economia , Síncope/diagnóstico , Estados Unidos
2.
Eur Biophys J ; 41(12): 1003-13, 2012 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23052972

RESUMO

Bacterial cyclic nucleotide gated (bCNG) channels are generally a nonmechanosensitive subset of the mechanosensitive channel of small conductance (MscS) superfamily. bCNG channels are composed of an MscS channel domain, a linking domain, and a cyclic nucleotide binding domain. Among bCNG channels, the channel domain of Ss-bCNGa, a bCNG channel from Synechocystis sp. PCC 6803, is most identical to Escherichia coli (Ec) MscS. This channel also exhibits limited mechanosensation in response to osmotic downshock assays, making it the only known full-length bCNG channel to respond to hypoosmotic stress. Here, we compare and contrast the ability of Ss-bCNGa to gate in response to mechanical tension with Se-bCNG, a nonmechanosensitive bCNG channel, and Ec-MscS, a prototypical mechanosensitive channel. Compared with Ec-MscS, Ss-bCNGa only exhibits limited mechanosensation, which is most likely a result of the inability of Ss-bCNGa to form the strong lipid contacts needed for significant function. Unlike Ec-MscS, Ss-bCNGa displays a mechanical response that increases with protein expression level, which may result from channel clustering driven by interchannel cation-π interactions.


Assuntos
Proteínas de Bactérias/química , Canais de Cátion Regulados por Nucleotídeos Cíclicos/química , Ativação do Canal Iônico , Estresse Mecânico , Sequência de Aminoácidos , Proteínas de Bactérias/genética , Proteínas de Bactérias/metabolismo , Canais de Cátion Regulados por Nucleotídeos Cíclicos/genética , Canais de Cátion Regulados por Nucleotídeos Cíclicos/metabolismo , Escherichia coli/química , Expressão Gênica , Metabolismo dos Lipídeos , Simulação de Dinâmica Molecular , Dados de Sequência Molecular , Nucleotídeos Cíclicos/metabolismo , Pressão Osmótica , Ligação Proteica , Estrutura Terciária de Proteína , Synechocystis/química
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