Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
1.
Crit Care Med ; 43(12): 2605-15, 2015 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-26427592

RESUMO

OBJECTIVES: The association between nutritional status and mortality in critically ill patients is unclear based on the current literature. To clarify this relation, we analyzed the association between nutrition and mortality in a large population of critically ill patients and hypothesized that mortality would be impacted by nutritional status. DESIGN: Retrospective observational study. SETTING: Single academic medical center. PATIENTS: Six thousand five hundred eighteen adults treated in medical and surgical ICUs between 2004 and 2011. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: All cohort patients received a formal, in-person, standardized evaluation by a registered dietitian. The exposure of interest, malnutrition, was categorized as nonspecific malnutrition, protein-energy malnutrition, or well nourished and determined by data related to anthropometric measurements, biochemical indicators, clinical signs of malnutrition, malnutrition risk factors, and metabolic stress. The primary outcome was all-cause 30-day mortality determined by the Social Security Death Master File. Associations between nutrition groups and mortality were estimated by bivariable and multivariable logistic regression models. Adjusted odds ratios were estimated with inclusion of covariate terms thought to plausibly interact with both nutrition status and mortality. We used propensity score matching on baseline characteristics to reduce residual confounding of the nutrition status category assignment. In the cohort, nonspecific malnutrition was present in 56%, protein-energy malnutrition was present in 12%, and 32% were well nourished. The 30-day and 90-day mortality rates for the cohort were 19.1% and 26.6%, respectively. Nutritional status is a significant predictor of 30-day mortality following adjustment for age, gender, race, medical versus surgical patient type, Deyo-Charlson index, acute organ failure, vasopressor use, and sepsis: nonspecific malnutrition 30-day mortality odds ratio, 1.17 (95% CI, 1.01-1.37); protein-energy malnutrition 30-day mortality odds ratio, 2.10 (95% CI, 1.70-2.59), all relative to patients without malnutrition. In the matched cohort, the adjusted odds of 30-day mortality in the group of propensity score-matched patients with protein-energy malnutrition was two-fold greater than that of patients without malnutrition. CONCLUSION: In a large population of critically ill adults, an association exists between nutrition status and mortality.


Assuntos
Estado Terminal/epidemiologia , Estado Terminal/mortalidade , Unidades de Terapia Intensiva/estatística & dados numéricos , Desnutrição/epidemiologia , Estado Nutricional , Centros Médicos Acadêmicos , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Comorbidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pontuação de Propensão , Estudos Retrospectivos , Fatores de Risco , Índice de Gravidade de Doença , Fatores Sexuais
2.
Crit Care Med ; 43(1): 87-100, 2015 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-25289931

RESUMO

INTRODUCTION: The association between obesity and mortality in critically ill patients is unclear based on the current literature. To clarify this relationship, we analyzed the association between obesity and mortality in a large population of critically ill patients and hypothesized that mortality would be impacted by nutritional status. METHODS: We performed a single-center observational study of 6,518 adult patients treated in medical and surgical ICUs between 2004 and 2011. All patients received a formal, in-person, and standardized evaluation by a registered dietitian. Body mass index was determined at the time of dietitian consultation from the estimated dry weight or hospital admission weight and categorized a priori as less than 18.5 kg/m (underweight), 18.5-24.9 kg/m (normal/referent), 25-29.9 kg/m (overweight), 30-39.9 kg/m (obesity class I and II), and more than or equal to 40.0 kg/m (obesity class III). Malnutrition diagnoses were categorized as nonspecific malnutrition, protein-energy malnutrition, or well nourished. The primary outcome was all-cause 30-day mortality determined by the Social Security Death Master File. Associations between body mass index groups and mortality were estimated by bivariable and multivariable logistic regression models. Adjusted odds ratios were estimated with inclusion of covariate terms thought to plausibly interact with both body mass index and mortality. We utilized propensity score matching on baseline characteristics and nutrition status to reduce residual confounding of the body mass index category assignment. RESULTS: In the cohort, 5% were underweight, 36% were normal weight, 31% were overweight, 23% had class I/II obesity, and 5% had class III obesity. Nonspecific malnutrition was present in 56%, protein-energy malnutrition was present in 12%, and 32% were well nourished. The 30-day and 90-day mortality rate for the cohort was 19.1 and 26.6%, respectively. Obesity is a significant predictor of improved 30-day mortality following adjustment for age, gender, race, medical versus surgical patient type, Deyo-Charlson index, acute organ failure, vasopressor use, and sepsis: underweight odds ratio 30-day mortality is 1.09 (95% CI, 0.80-1.48), overweight 30-day mortality odds ratio is 0.93 (95% CI, 0.80-1.09), class I/II obesity 30-day mortality odds ratio is 0.80 (95% CI, 0.67-0.96), and class III obesity 30-day mortality odds ratio is 0.69 (95% CI, 0.49-0.97), all relative to patients with body mass index 18.5-24.9 kg/m. Importantly, there is confounding of the obesity-mortality association on the basis of malnutrition. Adjustment for only nutrition status attenuates the obesity-30-day mortality association: underweight odds ratio is 0.74 (95% CI, 0.54-1.00), overweight odds ratio is 1.05 (95% CI, 0.90-1.23), class I/II obesity odds ratio is 0.96 (95% CI, 0.81-1.15), and class III obesity odds ratio is 0.81 (95% CI, 0.59-1.12), all relative to patients with body mass index 18.5-24.9 kg/m. In a subset of patients with body mass index more than or equal to 30.0 kg/m (n = 1,799), those with either nonspecific or protein-energy malnutrition have increased mortality relative to well-nourished patients with body mass index more than or equal to 30.0 kg/m: odds ratio of 90-day mortality is 1.67 (95% CI, 1.29-2.15; p < 0.0001), fully adjusted. In a cohort of propensity score matched patients (n = 3,554), the body mass index-mortality association was not statistically significant, likely from matching on nutrition status. CONCLUSIONS: In a large population of critically ill adults, the association between improved mortality and obesity is confounded by malnutrition status. Critically ill obese patients with malnutrition have worse outcomes than obese patients without malnutrition.


Assuntos
Estado Terminal/mortalidade , Estado Nutricional , Obesidade/complicações , Índice de Massa Corporal , Estado Terminal/epidemiologia , Feminino , Humanos , Masculino , Desnutrição/complicações , Desnutrição/mortalidade , Pessoa de Meia-Idade , Obesidade/mortalidade , Sobrepeso/complicações , Sobrepeso/mortalidade , Magreza/complicações , Magreza/mortalidade
3.
J Thorac Cardiovasc Surg ; 145(2): 328-33, 2013 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-23083794

RESUMO

OBJECTIVES: Individual surgeon experience and the cumulative experience of the surgical team have both been implicated as factors that influence surgical efficiency. We sought to quantitatively evaluate the effects of both individual surgeon experience and the cumulative experience of attending surgeon-cardiothoracic fellow collaborations in isolated coronary artery bypass graft (CABG) procedures. METHODS: Using a prospectively collected retrospective database, we analyzed all medical records of patients undergoing isolated CABG procedure at our institution. We used multivariate generalized estimating equation regression models to adjust for patient mix and subsequently evaluated the effect of both attending cardiac surgeon experience (since fellowship graduation) and the number of previous collaborations between attending cardiac surgeons and cardiothoracic fellow pairs on cardiopulmonary bypass and crossclamp times. RESULTS: From 2001 to 2010, 4068 consecutive patients underwent isolated CABG procedure at our institution performed by 11 attending cardiac surgeons and 73 cardiothoracic fellows. Mean attending experience after fellowship graduation was 10.9 ± 8.0 years and mean number of cases between unique pairs of attending cardiac surgeons and cardiothoracic fellows was 10.0 ± 10.0 cases. After patient risk adjustment, both attending surgical experience since fellowship graduation and the number of previous collaborations between attending surgeons and cardiothoracic fellows were significantly associated with a reduction in cardiopulmonary bypass and crossclamp times (P < .001). The influence of attending-fellow pair experience far exceeded the influence of surgical experience with beta estimates for attending-fellow pair experience nearly three times that of attending surgeon experience. CONCLUSIONS: Cumulative experience of attending cardiac surgeons and cardiothoracic fellows has a dramatic effect on both cardiopulmonary bypass and crossclamp times, whereas attending cardiac surgeon learning curves following fellowship graduation are clinically insignificant. Taken together, these findings suggest that the primary driver of operative efficiency in CABG procedure is the collaborative experience of the attending surgeon-cardiothoracic fellow operative team, rather than the individual experience of the attending surgeon.


Assuntos
Competência Clínica , Ponte de Artéria Coronária/educação , Educação de Pós-Graduação em Medicina , Bolsas de Estudo , Internato e Residência , Curva de Aprendizado , Corpo Clínico Hospitalar , Equipe de Assistência ao Paciente , Idoso , Boston , Ponte Cardiopulmonar/educação , Constrição , Comportamento Cooperativo , Ponte de Artéria Coronária/efeitos adversos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Indicadores de Qualidade em Assistência à Saúde , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , Fatores de Tempo , Resultado do Tratamento
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA