Functional status in ICU survivors and out of hospital outcomes: a cohort study

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.L30 TR001257 - NCATS NIH HH

Hospital Nutrition Assessment Practice 2016 Survey

BackgroundMalnutrition is a significant problem for hospitalized patients in the United States. Nutrition assessment is an important step in recognizing malnutrition; however, it is not always performed using consistent parameters.MethodsA survey among U.S. American Society for Parenteral and Enteral Nutrition (ASPEN) members was conducted to collect data on nutrition assessment parameters used in hospitals and to establish how facilities use their electronic health record (EHR) to permit data retrieval and outcome reporting.ResultsThe survey was developed by the ASPEN Malnutrition Committee and was sent to 5487 U.S. ASPEN members, with 489 responding for a 9% response rate. Ninety‐eight percent of adult and 93% of pediatric respondents indicated a registered dietitian completed the nutrition assessment following a positive nutrition screen. Variables most frequently used among adult respondents included usual body weight, ideal body weight, and body mass index. Among pediatric respondents, weight‐for‐age and height‐for‐age percentiles and length/height‐for‐age percentile were most frequently used. Both adult and pediatric respondents indicated use of physical assessment parameters, including muscle and fat loss and skin assessment. Eighty‐seven percent of adult and 77% of pediatric respondents indicated they are using the Academy of Nutrition and Dietetics (Academy) and ASPEN Consensus Malnutrition Characteristics for Adult and Pediatric Malnutrition, respectively. Overall, 97% of respondents indicated nutrition assessment documentation was completed via an EHR. Of all respondents, 61% indicated lack of clinical decision support within their EHR.ConclusionThis survey demonstrated significant use of the Academy/ASPEN malnutrition consensus characteristics.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146497/1/ncp10179_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146497/2/ncp10179.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146497/3/ncp10179-sup-0001-FigureS1.pd

The use of visceral proteins as nutrition markers: an ASPEN position paper

Serum albumin and prealbumin, well-known visceral proteins, have traditionally been considered useful biochemical laboratory values in a nutrition assessment. However, recent literature disputes this contention. The aim of this document is to clarify that these proteins characterize inflammation rather than describe nutrition status or protein-energy malnutrition. Both critical illness and chronic illness are characterized by inflammation and, as such, hepatic reprioritization of protein synthesis occurs, resulting in lower serum concentrations of albumin and prealbumin. In addition, the redistribution of serum proteins occurs because of an increase in capillary permeability. There is an association between inflammation and malnutrition, however, not between malnutrition and visceral-protein levels. These proteins correlate well with patients' risk for adverse outcomes rather than with protein-energy malnutrition. Therefore, serum albumin and prealbumin should not serve as proxy measures of total body protein or total muscle mass and should not be used as nutrition markers. This paper has been approved by the American Society for Parenteral and Enteral Nutrition Board of Directors.Published versio

American Society for Parenteral and Enteral Nutrition and Academy of Nutrition and Dietetics

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141469/1/ncp0792.pd

Statin Use and the Presence of Microalbuminuria. Results from the ERICABEL Trial: A Non-Interventional Epidemiological Cohort Study

BACKGROUND: Microalbuminuria (MAU) is considered as a predictor or marker of cardiovascular and renal events. Statins are widely prescribed to reduce cardiovascular risk and to slow down progression of kidney disease. But statins may also generate tubular MAU. The current observational study evaluated the impact of statin use on the interpretation of MAU as a predictor or marker of cardiovascular or renal disease. METHODOLOGY/PRINCIPAL FINDINGS: We used cross-sectional data of ERICABEL, a cohort with 1,076 hypertensive patients. MAU was defined as albuminuria ≥20 mg/l. A propensity score was created to correct for "bias by indication" to receive a statin. As expected, subjects using statins vs. no statins had more cardiovascular risk factors, pointing to bias by indication. Statin users were more likely to have MAU (OR: 2.01, 95%CI: 1.34-3.01). The association between statin use and MAU remained significant after adjusting for the propensity to receive a statin based on cardiovascular risk factors (OR: 1.82, 95%CI: 1.14-2.91). Next to statin use, only diabetes (OR: 1.92, 95%CI: 1.00-3.66) and smoking (OR: 1.49, 95%CI: 0.99-2.26) were associated with MAU. CONCLUSIONS: Use of statins is independently associated with MAU, even after adjusting for bias by indication to receive a statin. In the hypothesis that this MAU is of tubular origin, statin use can result in incorrect labeling of subjects as having a predictor or marker of cardiovascular or renal risk. In addition, statin use affected the association of established cardiovascular risk factors with MAU, blurring the interpretation of multivariable analyses

Protein Intake, Nutritional Status and Outcomes in ICU Survivors: A Single Center Cohort Study

Background: We hypothesized that protein delivery during hospitalization in patients who survived critical care would be associated with outcomes following hospital discharge. Methods: We studied 801 patients, age &ge; 18 years, who received critical care between 2004 and 2012 and survived hospitalization. All patients underwent a registered dietitian formal assessment within 48 h of ICU admission. The exposure of interest, grams of protein per kilogram body weight delivered per day, was determined from all oral, enteral and parenteral sources for up to 28 days. Adjusted odds ratios for all cause 90-day post-discharge mortality were estimated by mixed- effects logistic regression models. Results: The 90-day post-discharge mortality was 13.9%. The mean nutrition delivery days recorded was 15. In a mixed-effect logistic regression model adjusted for age, gender, race, Deyo-Charlson comorbidity index, acute organ failures, sepsis and percent energy needs met, the 90-day post-discharge mortality rate was 17% (95% CI: 6&ndash;26) lower for each 1 g/kg increase in daily protein delivery (OR = 0.83 (95% CI 0.74&ndash;0.94; p = 0.002)). Conclusions: Adult medical ICU patients with improvements in daily protein intake during hospitalization who survive hospitalization have decreased odds of mortality in the 3 months following hospital discharge