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1.
JPEN J Parenter Enteral Nutr ; 42(3): 557-565, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-28521598

RESUMO

BACKGROUND: We hypothesized that preexisting malnutrition in patients who survived critical care would be associated with adverse outcomes following hospital discharge. METHODS: We performed an observational cohort study in 1 academic medical center in Boston. We studied 23,575 patients, aged ≥18 years, who received critical care between 2004 and 2011 and survived hospitalization. RESULTS: The exposure of interest was malnutrition determined at intensive care unit (ICU) admission by a registered dietitian using clinical judgment and on data related to unintentional weight loss, inadequate nutrient intake, and wasting of muscle mass and/or subcutaneous fat. The primary outcome was 90-day postdischarge mortality. Secondary outcome was unplanned 30-day hospital readmission. Adjusted odds ratios were estimated by logistic regression models adjusted for age, race, sex, Deyo-Charlson Index, surgical ICU, sepsis, and acute organ failure. In the cohort, the absolute risk of 90-day postdischarge mortality was 5.9%, 11.7%, 15.8%, and 21.9% in patients without malnutrition, those at risk of malnutrition, nonspecific malnutrition, and protein-energy malnutrition, respectively. The odds of 90-day postdischarge mortality in patients at risk of malnutrition, nonspecific malnutrition, and protein-energy malnutrition fully adjusted were 1.77 (95% confidence interval [CI], 1.23-2.54), 2.51 (95% CI, 1.36-4.62), and 3.72 (95% CI, 2.16-6.39), respectively, relative to patients without malnutrition. Furthermore, the presence of malnutrition is a significant predictor of the odds of unplanned 30-day hospital readmission. CONCLUSIONS: In patients treated with critical care who survive hospitalization, preexisting malnutrition is a robust predictor of subsequent mortality and unplanned hospital readmission.


Assuntos
Estado Terminal/mortalidade , Desnutrição/mortalidade , Sobreviventes , Adulto , Idoso , Estudos de Coortes , Estado Terminal/terapia , Feminino , Humanos , Unidades de Terapia Intensiva , Masculino , Desnutrição/diagnóstico , Pessoa de Meia-Idade , Razão de Chances , Alta do Paciente , Readmissão do Paciente , Prognóstico , Sepse , Resultado do Tratamento , Síndrome de Emaciação
2.
Crit Care ; 21(1): 154, 2017 06 21.
Artigo em Inglês | MEDLINE | ID: mdl-28633658

RESUMO

BACKGROUND: Little is known about risk factors associated with out-of-hospital outcomes in survivors of critical illness. We hypothesized that the presence of nucleated red blood cells in patients who survived critical care would be associated with adverse outcomes following hospital discharge. METHODS: We performed a two-center observational cohort study of patients treated in medical and surgical intensive care units in Boston, Massachusetts. All data were obtained from the Research Patient Data Registry at Partners HealthCare. We studied 2878 patients, age ≥ 18 years, who received critical care between 2011 and 2015 and survived hospitalization. The exposure of interest was nucleated red blood cells occurring from 2 days prior to 7 days after critical care initiation. The primary outcome was mortality in the 90 days following hospital discharge. Secondary outcome was unplanned 30-day hospital readmission. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both nucleated red blood cells and outcome. Adjustment included age, race (white versus nonwhite), gender, Deyo-Charlson Index, patient type (medical versus surgical), sepsis and acute organ failure. RESULTS: In patients who received critical care and survived hospitalization, the absolute risk of 90-day postdischarge mortality was 5.9%, 11.7%, 15.8% and 21.9% in patients with 0/µl, 1-100/µl, 101-200/µl and more than 200/µl nucleated red blood cells respectively. Nucleated red blood cells were a robust predictor of postdischarge mortality and remained so following multivariable adjustment. The fully adjusted odds of 90-day postdischarge mortality in patients with 1-100/µl, 101-200/µl and more than 200/µl nucleated red blood cells were 1.77 (95% CI, 1.23-2.54), 2.51 (95% CI, 1.36-4.62) and 3.72 (95% CI, 2.16-6.39) respectively, relative to patients without nucleated red blood cells. Further, the presence of nucleated red blood cells is a significant predictor of the odds of unplanned 30-day hospital readmission. CONCLUSION: In critically ill patients who survive hospitalization, the presence of nucleated red blood cells is a robust predictor of postdischarge mortality and unplanned hospital readmission.


Assuntos
Estado Terminal/mortalidade , Eritroblastos/metabolismo , Avaliação de Resultados da Assistência ao Paciente , Adulto , Idoso , Boston , Estudos de Coortes , Estado Terminal/epidemiologia , Eritroblastos/fisiologia , Feminino , Humanos , Unidades de Terapia Intensiva/organização & administração , Masculino , Pessoa de Meia-Idade , Razão de Chances , Sistema de Registros/estatística & dados numéricos , Fatores de Risco , Sobreviventes/estatística & dados numéricos
3.
BMJ Open Respir Res ; 2(1): e000074, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26113982

RESUMO

OBJECTIVE: We hypothesise that low 25-hydroxyvitamin D (25(OH)D) levels before hospitalisation are associated with increased risk of acute respiratory failure. DESIGN: Retrospective cohort study. SETTING: Medical and Surgical Intensive care units of two Boston teaching hospitals. PATIENTS: 1985 critically ill adults admitted between 1998 and 2011. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The exposure of interest was prehospital serum 25(OH)D categorised as ≤10 ng/mL, 11-19.9 ng/mL, 20-29.9 ng/mL and ≥30 ng/mL. The primary outcome was acute respiratory failure excluding congestive heart failure determined by International Classification of Diseases Ninth Edition (ICD-9) coding and validated against the Berlin Definition of acute respiratory sistress syndrome. Association between 25(OH)D and acute respiratory failure was assessed using logistic regression, while adjusting for age, race, sex, Deyo-Charlson Index and patient type (medical vs surgical). In the cohort, the mean age was 63 years, 45% were male and 80% were white; 25(OH)D was ≤10 ng/mL in 8% of patients, 11-19.9 ng/mL in 24%, 20-29.9 ng/mL in 24% and ≥30 ng/mL in 44% of patients. Eighteen per cent (n=351) were diagnosed with acute respiratory failure. Compared to patients with 25(OH)D ≥30 ng/mL, patients with lower 25(OH)D levels had significantly higher adjusted odds of acute respiratory failure (≤10 ng/mL, OR=1.84 (95% CI 1.22 to 2.77); 11-19.9 ng/mL, OR=1.60 (95% CI 1.19 to 2.15); 20-29.9 ng/mL, OR=1.37 (95% CI 1.01 to 1.86)). CONCLUSIONS: Prehospital 25(OH)D was associated with the risk of acute respiratory failure in our critically ill patient cohort.

4.
Crit Care Med ; 43(2): 354-64, 2015 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-25474534

RESUMO

OBJECTIVE: Hospital readmissions contribute significantly to the cost of inpatient care and are targeted as a marker for quality of care. Little is known about risk factors associated with hospital readmission in survivors of critical illness. We hypothesized that acute kidney injury in patients who survived critical care would be associated with increased risk of 30-day postdischarge hospital readmission, postdischarge mortality, and progression to end-stage renal disease. DESIGN: Two center observational cohort study. SETTING: Medical and surgical ICUs at the Brigham and Women's Hospital and the Massachusetts General Hospital in Boston, Massachusetts. PATIENTS: We studied 62,096 patients, 18 years old and older, who received critical care between 1997 and 2012 and survived hospitalization. INTERVENTIONS: None MEASUREMENTS AND MAIN RESULTS: : All data was obtained from the Research Patient Data Registry at Partners HealthCare. The exposure of interest was acute kidney injury defined as meeting Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease Risk, Injury or Failure criteria occurring 3 days prior to 7 days after critical care initiation. The primary outcome was hospital readmission in the 30 days following hospital discharge. The secondary outcome was mortality in the 30 days following hospital discharge. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both acute kidney injury and readmission status. Adjustment included age, race (white vs nonwhite), gender, Deyo-Charlson Index, patient type (medical vs surgical) and sepsis. Additionally, long-term progression to End Stage Renal Disease in patients with acute kidney injury was analyzed with a risk-adjusted Cox proportional hazards regression model. The absolute risk of 30-day readmission was 12.3%, 19.0%, 21.2%, and 21.1% in patients with No Acute Kidney Injury, Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Injury, and Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Failure, respectively. In patients who received critical care and survived hospitalization, acute kidney injury was a robust predictor of hospital readmission and post-discharge mortality and remained so following multivariable adjustment. The odds of 30-day post-discharge hospital readmission in patients with Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Injury, or Failure fully adjusted were 1.44 (95% CI, 1.25-1.66), 1.98 (95% CI, 1.66-2.36), and 1.55 (95% CI, 1.26-1.91) respectively, relative to patients without acute kidney injury. Further, the odds of 30-day post-discharge mortality in patients with Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Injury, or Failure fully adjusted per our primary analysis were 1.39 (95% CI, 1.28-1.51), 1.46 (95% CI, 1.30-1.64), and 1.42 (95% CI, 1.26-1.61) respectively, relative to patients without acute kidney injury. The addition of the propensity score to the multivariable model did not change the point estimates significantly. Finally, taking into account age, gender, race, Deyo-Charlson Index, and patient type, we observed a relationship between acute kidney injury and development of end-stage renal disease. Patients with Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease class Risk, Injury, Failure experienced a significantly higher risk of end-stage renal disease during follow-up than patients without acute kidney injury (hazard ratio, 2.03; 95% CI, 1.56-2.65; hazard ratio, 3.99; 95% CI, 3.04-5.23; hazard ratio, 10.40; 95% CI, 8.54-12.69, respectively). CONCLUSIONS: Patients who suffer acute kidney injury are among a high-risk group of ICU survivors for adverse outcomes. In patients treated with critical care who survive hospitalization, acute kidney injury is a robust predictor of subsequent unplanned hospital readmission. In critical illness survivors, acute kidney injury is also associated with the odds of 30-day postdischarge mortality and the risk of subsequent end-stage renal disease.


Assuntos
Injúria Renal Aguda/fisiopatologia , Estado Terminal , Unidades de Terapia Intensiva/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Injúria Renal Aguda/complicações , Injúria Renal Aguda/mortalidade , Adulto , Fatores Etários , Idoso , Estudos de Coortes , Feminino , Humanos , Falência Renal Crônica/etiologia , Testes de Função Renal , Masculino , Pessoa de Meia-Idade , Medição de Risco , Fatores de Risco , Fatores Sexuais
6.
Crit Care Med ; 42(4): 918-29, 2014 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-24448196

RESUMO

OBJECTIVES: Red cell distribution width is associated with mortality and bloodstream infection risk in the critically ill. In hospitalized patients with critical illness, it is not known if red cell distribution width can predict subsequent risk of all-cause mortality following hospital discharge. We hypothesized that an increase in red cell distribution width at hospital discharge in patients who survived to discharge following critical care would be associated with increased postdischarge mortality. DESIGN: Two-center observational cohort study SETTING: : All medical and surgical ICUs at the Brigham and Women's Hospital and Massachusetts General Hospital. PATIENTS: We studied 43,212 patients, who were 18 years old or older and received critical care between 1997 and 2007 and survived hospitalization. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The exposure of interest was red cell distribution width within 24 hours of hospital discharge and categorized a priori in quintiles as less than or equal to 13.3%, 13.3-14.0%, 14.0-14.7%, 14.7-15.8%, and more than 15.8%. The primary outcome was all-cause mortality in the 30 days following hospital discharge. Secondary outcomes included 90-day and 365-day mortality following hospital discharge. Mortality was determined using the U.S. Social Security Administration Death Master File, and 365-day follow-up was present in all cohort patients. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both red cell distribution width and mortality. Adjustment included age, race, gender, Deyo-Charlson Index, patient type (medical vs surgical), sepsis, and number of organs with acute failure. In patients who received critical care and survived hospitalization, the discharge red cell distribution width was a robust predictor of all-cause mortality and remained so following multivariable adjustment. Patients with a discharge red cell distribution width of 14.0-14.7%, 14.7-15.8%, and more than 15.8% have an odds ratio for mortality in the 30 days following hospital discharge of 2.86 (95% CI, 2.25-3.62), 4.57 (95% CI, 3.66-5.72), and 8.80 (95% CI, 7.15-10.83), respectively, all relative to patients with a discharge red cell distribution width less than or equal to 13.3%. Following multivariable adjustment, patients with a discharge red cell distribution width of 14.0-14.7%, 14.7-15.8%, and more than 15.8% have an odds ratio for mortality in the 30 days following hospital discharge of 1.63 (95% CI, 1.27-2.07), 2.36 (95% CI, 1.87-2.97), and 4.18 (95% CI, 3.36-5.20), respectively, all relative to patients with a discharge red cell distribution width less than or equal to 13.3%. Similar significant robust associations post multivariable adjustments are seen with death by days 90 and 365 postdischarge. Estimating the receiver-operating characteristic area under the curve shows that discharge red cell distribution width has moderate discriminative power for mortality 30 days following hospital discharge (area under the curve = 0.70; SE 0.006; 95% CI, 0.69-0.71; p < 0.0001). CONCLUSION: In patients treated with critical care who survive hospitalization, an elevated red cell distribution width at the time of discharge is a robust predictor of subsequent all-cause patient mortality. Increased discharge red cell distribution width likely reflects the presence of proinflammatory state, oxidative stress, arterial underfilling, or a combination, thereof which may explain the observed impact on patient survival following discharge. Elevated red cell distribution width at hospital discharge may identify ICU survivors who are at risk for adverse outcomes following hospital discharge.


Assuntos
Estado Terminal/mortalidade , Índices de Eritrócitos , Unidades de Terapia Intensiva/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Cuidados Críticos , Feminino , Indicadores Básicos de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Medição de Risco , Fatores de Tempo
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