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OBJECTIVE: Severity of illness scores rest on the assumption that patients have normal physiologic values at baseline and that patients with similar severity of illness scores have the same degree of deviation from their usual state. Prior studies have reported differences in baseline physiology, including laboratory markers, between obese and normal weight individuals, but these differences have not been analyzed in the ICU. We compared deviation from baseline of pertinent ICU laboratory test results between obese and normal weight patients, adjusted for the severity of illness. DESIGN: Retrospective cohort study in a large ICU database. SETTING: Tertiary teaching hospital. PATIENTS: Obese and normal weight patients who had laboratory results documented between 3 days and 1 year prior to hospital admission. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Seven hundred sixty-nine normal weight patients were compared with 1,258 obese patients. After adjusting for the severity of illness score, age, comorbidity index, baseline laboratory result, and ICU type, the following deviations were found to be statistically significant: WBC 0.80 (95% CI, 0.27-1.33) × 10/L; p = 0.003; log (blood urea nitrogen) 0.01 (95% CI, 0.00-0.02); p = 0.014; log (creatinine) 0.03 (95% CI, 0.02-0.05), p < 0.001; with all deviations higher in obese patients. A logistic regression analysis suggested that after adjusting for age and severity of illness at least one of these deviations had a statistically significant effect on hospital mortality (p = 0.009). CONCLUSIONS: Among patients with the same severity of illness score, we detected clinically small but significant deviations in WBC, creatinine, and blood urea nitrogen from baseline in obese compared with normal weight patients. These small deviations are likely to be increasingly important as bigger data are analyzed in increasingly precise ways. Recognition of the extent to which all critically ill patients may deviate from their own baseline may improve the objectivity, precision, and generalizability of ICU mortality prediction and severity adjustment models.
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Estado Terminal/classificação , Obesidade/complicações , Índice de Gravidade de Doença , Idoso , Estudos de Casos e Controles , Feminino , Humanos , Unidades de Terapia Intensiva/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Estudos RetrospectivosRESUMO
The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requirements. In addition, the note writing applications in currently available electronic health records (EHRs) do not function to support decision making to any substantial degree. We suggest that artificial intelligence (AI) could be utilized to facilitate the workflows of the data collection and assembly processes, as well as to support the development of personalized, yet data-driven assessments and plans.
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Study objective: To assess differences in gene expression in cholinergic basal forebrain cells between sleeping and sleep-deprived mice sacrificed at the same time of day. Methods: Tg(ChAT-eGFP)86Gsat mice expressing enhanced green fluorescent protein (eGFP) under control of the choline acetyltransferase (Chat) promoter were utilized to guide laser capture of cholinergic cells in basal forebrain. Messenger RNA expression levels in these cells were profiled using microarrays. Gene expression in eGFP(+) neurons was compared (1) to that in eGFP(-) neurons and to adjacent white matter, (2) between 7:00 am (lights on) and 7:00 pm (lights off), (3) between sleep-deprived and sleeping animals at 0, 3, 6, and 9 hours from lights on. Results: There was a marked enrichment of ChAT and other markers of cholinergic neurons in eGFP(+) cells. Comparison of gene expression in these eGFP(+) neurons between 7:00 am and 7:00 pm revealed expected differences in the expression of clock genes (Arntl2, Per1, Per2, Dbp, Nr1d1) as well as mGluR3. Comparison of expression between spontaneous sleep and sleep-deprived groups sacrificed at the same time of day revealed a number of transcripts (n = 55) that had higher expression in sleep deprivation compared to sleep. Genes upregulated in sleep deprivation predominantly were from the protein folding pathway (25 transcripts, including chaperones). Among 42 transcripts upregulated in sleep was the cold-inducible RNA-binding protein. Conclusions: Cholinergic cell signatures were characterized. Whether the identified genes are changing as a consequence of differences in behavioral state or as part of the molecular regulatory mechanism remains to be determined.
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Prosencéfalo Basal/citologia , Neurônios Colinérgicos/metabolismo , Perfilação da Expressão Gênica , Privação do Sono/metabolismo , Sono/genética , Vigília/genética , Acetilcolina/metabolismo , Animais , Proteínas CLOCK/genética , Colina O-Acetiltransferase/genética , Masculino , Camundongos , Dobramento de Proteína , Receptores de Glutamato Metabotrópico/genética , Privação do Sono/patologiaRESUMO
BACKGROUND: A postoperative length of stay (LOS) >1 day after elective surgery incurs financial losses for hospitals, given fixed diagnosis-related group-based reimbursement. We sought to identify factors leading to a prolonged LOS (>1 postoperative day) after carotid endarterectomy (CEA). METHODS: Patients undergoing CEA in 23 centers of the Vascular Study Group of New England between 2003 and 2011 (n = 8860) were analyzed. Only elective, primary CEAs were analyzed, leaving a study cohort of 7108 procedures. Hierarchical multivariable logistic regression analysis was performed to identify predictors of a postoperative LOS >1 day. A Knaus-Wagner chi-pie analysis was performed to determine the relative contributions of each significant covariate to a postoperative LOS >1 day. RESULTS: A postoperative LOS >1 day occurred in 17.5% of the sample (n = 1244). The average LOS was 1.4 days (range, 1-91 days; median, 1). There was significant variation in rates of postoperative LOS >1 day across centers (range, 5%-100%; P < .001). Factors independently associated with a postoperative LOS >1 day and their percentage contribution to the prediction model included the need for postoperative intravenous medications for hypertension or hypotension (26%), any major adverse event (MAE) postoperatively (21%), low-volume (<15 CEAs per year) surgeons (28%), increasing age (7%), female gender (4%), positive result on a preoperative stress test (3%), preoperative major stroke ≤30 days (2%), medication-dependent diabetes (1%), severe chronic obstructive pulmonary disease (1%), history of congestive heart failure (1%), and CEA performed on Friday (2%). CONCLUSIONS: Certain patient characteristics predispose to a postoperative LOS >1 day after elective CEA. However, patient characteristics play only a modest (17%) role in determining LOS. The need for postoperative blood pressure control and MAEs are the biggest drivers of postoperative LOS >1 day, but system factors, such as low operative volume, contribute substantially to postoperative LOS >1 day, independent of MAEs. These findings can be used to guide quality improvement efforts designed to reduce LOS after elective CEA.
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Doenças das Artérias Carótidas/cirurgia , Economia Hospitalar/tendências , Endarterectomia das Carótidas , Custos Hospitalares/tendências , Hospitais/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Complicações Pós-Operatórias/economia , Idoso , Doenças das Artérias Carótidas/economia , Grupos Diagnósticos Relacionados/economia , Procedimentos Cirúrgicos Eletivos , Feminino , Seguimentos , Humanos , Masculino , New England , Período Pós-Operatório , Estudos RetrospectivosRESUMO
Climate change is likely to affect the nature of pathogens/ chemicals in the environment and their fate and transport. We assess the implications of climate change for changes in human exposures to pathogens/chemicals in agricultural systems in the UK and discuss the effects on health impacts, using expert input and literature on climate change; health effects from exposure to pathogens/chemicals arising from agriculture; inputs of chemicals/pathogens to agricultural systems; and human exposure pathways for pathogens/chemicals in agricultural systems. We established the evidence base for health effects of chemicals/pathogens in the agricultural environment; determined the potential implications of climate change on chemical/pathogen inputs in agricultural systems; and explored the effects of climate change on environmental transport and fate of various contaminants. We merged data to assess the implications of climate change in terms of indirect human exposure to pathogens/chemicals in agricultural systems, and defined recommendations on future research and policy changes to manage adverse increases in risks.
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Agricultura , Microbiologia do Ar , Mudança Climática , Exposição Ambiental/efeitos adversos , Poluição Ambiental/efeitos adversos , Microbiologia da Água , Humanos , Reino UnidoRESUMO
La diagnósis de la Onchocerca volvulus en el Ecuador se basa en la detección de la microfilaria en la piel, en la cual, para realizar la biopsia se usa un punch córneoescleral. Después de la incubación, las microfilarias que emergen son enumeradas y los resultados estandarizados. Otros métodos invasivos no son recomendados para la diagnósis. Un nódulo palpable o la presencia de microfilarias en el ojo, en ausencia de una biopsia positiva en la piel, tienen que ser consideradas en la pauta a seguir para la diagnósis. Futuros descubrimientos son necesarios para hacer de las pruebas serológicas un diagnsotico válido. La prueba de la reacción Mazzotti tiene que estar limitada únicamente a áreas en las cuales la biopsia de la piel es negativa y no hay evidencia de microfilaria en el tejido ocular. El gusano filaria extirpado de pacientes con oncocercosis tiene características de Onchocerca vaolvulus