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

ABSTRACT

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.


Subject(s)
Critical Illness/mortality , Malnutrition/mortality , Survivors , Adult , Aged , Cohort Studies , Critical Illness/therapy , Female , Humans , Intensive Care Units , Male , Malnutrition/diagnosis , Middle Aged , Odds Ratio , Patient Discharge , Patient Readmission , Prognosis , Sepsis , Treatment Outcome , Wasting Syndrome
2.
Crit Care ; 21(1): 154, 2017 06 21.
Article in English | MEDLINE | ID: mdl-28633658

ABSTRACT

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.


Subject(s)
Critical Illness/mortality , Erythroblasts/metabolism , Patient Outcome Assessment , Adult , Aged , Boston , Cohort Studies , Critical Illness/epidemiology , Erythroblasts/physiology , Female , Humans , Intensive Care Units/organization & administration , Male , Middle Aged , Odds Ratio , Registries/statistics & numerical data , Risk Factors , Survivors/statistics & numerical data
3.
Surgery ; 160(3): 762-70, 2016 09.
Article in English | MEDLINE | ID: mdl-27375087

ABSTRACT

BACKGROUND: The association between functional status in trauma survivors and long-term outcomes is unknown. METHODS: We performed an observational cohort study on adult trauma patients (≥18 years), who required admission to the intensive care unit and who survived hospitalization between 1997 and 2011. The exposure of interest was a functional status defined as bed mobility, transfers, and gait level assessed at the time of hospital discharge. Adjusted odds ratios were estimated by multivariable logistic regression models. The primary outcome was all-cause, postdischarge mortality. RESULTS: We analyzed 3,565 patients with a mean (standard deviation) age of 55 (12.4) years; 60% were male, and 78% were white. The 720-day postdischarge mortality was 22.8%. In a logistic regression model, the lowest functional status category at hospital discharge was associated with 4-fold increased odds of 720-day postdischarge mortality (adjusted odds ratio 4.06 (95% confidence interval, 2.65-6.20, P < .001) compared with patients with independent functional status. We compared the odds of 720-day postdischarge mortality in patients with independent functional status and in patients in the lowest functional status category at hospital discharge. The odds of 720-day postdischarge mortality were stronger in older adults (≥65 years: adjusted odds ratio 3.34 [95% confidence interval, 1.72-6.50, P < .001]) than in younger adults (<65 years: adjusted odds ratio 2.53 [95% confidence interval, 1.39-4.60, P = .002]). Finally, improvement of functional status prior to discharge was associated with a 52% decrease in the odds of 720-day postdischarge mortality (adjusted odds ratio 0.48; 95% confidence interval, 0.30-0.75; P < .001) compared with patients without a change in functional status prior to discharge. CONCLUSION: In trauma intensive care unit survivors, functional status at hospital discharge is predictive of long-term mortality.


Subject(s)
Wounds and Injuries/mortality , Wounds and Injuries/physiopathology , Adult , Age Factors , Aged , Aged, 80 and over , Cohort Studies , Critical Care , Female , Gait , Hospitalization , Humans , Male , Middle Aged , Motor Activity , Recovery of Function , Survival Rate , Wounds and Injuries/complications
4.
Crit Care Med ; 44(5): 869-79, 2016 May.
Article in English | MEDLINE | ID: mdl-26929191

ABSTRACT

OBJECTIVES: Functional status at hospital discharge may be a risk factor for adverse events among survivors of critical illness. We sought to examine the association between functional status at hospital discharge in survivors of critical care and risk of 90-day all-cause mortality after hospital discharge. DESIGN: Single-center retrospective cohort study. SETTING: Academic Medical Center. PATIENTS: Ten thousand three hundred forty-three adults who received critical care from 1997 to 2011 and survived hospitalization. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The exposure of interest was functional status determined at hospital discharge by a licensed physical therapist and rated based on qualitative categories adapted from the Functional Independence Measure. The main outcome was 90-day post hospital discharge all-cause mortality. A categorical risk-prediction score was derived and validated based on a logistic regression model of the function grades for each assessment. In an adjusted logistic regression model, the lowest quartile of functional status at hospital discharge was associated with an increased odds of 90-day postdischarge mortality compared with patients with independent functional status (odds ratio, 7.63 [95% CI, 3.83-15.22; p < 0.001]). In patients who had at least 7 days of physical therapy treatment prior to hospital discharge (n = 2,293), the adjusted odds of 90-day postdischarge mortality in patients with marked improvement in functional status at discharge was 64% less than patients with no change in functional status (odds ratio, 0.36 [95% CI, 0.24-0.53]; p < 0.001). CONCLUSIONS: Lower functional status at hospital discharge in survivors of critical illness is associated with increased postdischarge mortality. Furthermore, patients whose functional status improves before discharge have decreased odds of postdischarge mortality.


Subject(s)
Critical Illness , Health Status , Intensive Care Units/statistics & numerical data , Patient Discharge/statistics & numerical data , Survivors , Adult , Age Factors , Aged , Female , Humans , Male , Middle Aged , Odds Ratio , Physical Therapy Modalities , Retrospective Studies , Risk Factors , Severity of Illness Index , Sex Factors , Time Factors
5.
Crit Care Med ; 43(2): 354-64, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25474534

ABSTRACT

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.


Subject(s)
Acute Kidney Injury/physiopathology , Critical Illness , Intensive Care Units/statistics & numerical data , Patient Readmission/statistics & numerical data , Acute Kidney Injury/complications , Acute Kidney Injury/mortality , Adult , Age Factors , Aged , Cohort Studies , Female , Humans , Kidney Failure, Chronic/etiology , Kidney Function Tests , Male , Middle Aged , Risk Assessment , Risk Factors , Sex Factors
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