A simplified nutrition screen for hospitalized patients using readily available laboratory and patient information.

OBJECTIVE: We assessed admission screening information that best identifies patients who are at risk for malnutrition-related complications (MRCs). METHODS: We evaluated 13 patient characteristics associated with MRC for adults screened over a 3-mo period (n = 448) to determine which factors correlated best with the risk level assigned. The existing screen stratified patients into four levels defined as no risk, mild risk, moderate, and high risk for MRC. The analyzed variables were weight for height, wound, surgery/cancer therapy, fever, vomiting/diarrhea, poor oral intake, no oral intake, unplanned weight loss, malnutrition-related admission diagnosis, serum albumin, white blood cell count, hemoglobin, and total lymphocyte count. We modeled the relation between assigned MRC and the predictors by using state-of-the-art methods. RESULTS: The characteristics that correlated best with MRC risk level assignment were occurrence of a wound, poor oral intake, malnutrition-related admission diagnosis, serum albumin value, hemoglobin value, and total lymphocyte count. A model using four variables (malnutrition-related admission diagnosis, serum albumin value, hemoglobin value, and total lymphocyte count) was almost as good as that using six predictors. CONCLUSIONS: The ability of admission information to accurately reflect MRC risk is crucial to early initiation of restorative medical nutritional therapy. There is currently no uniform or proved standard for identifying MRC risk within 24 h of acute care admission. The ideal nutritional screen correlates well with the occurrence of MRC and also uses data routinely obtained at admission. The models described can be uniformly used by hospitals to screen patients for MRC risk.

The role of visceral protein markers in protein calorie malnutrition.

Despite substantial evidence of the crucial role protein calorie malnutrition (PCM) plays in the occurrence of complications, increased length of stay, and cost of care in hospitalized populations, no standard approach for screening and monitoring the nutritional status of patients initially and throughout admission currently exists. Recognizing that there is a growing public and professional recognition of the importance of malnutrition, a large patient population (30-55%) at risk for PCM, and an even larger population experiencing declining nutritional status during hospitalization, this study examined the feasibility of a full-scale study to assess the value of two biochemical markers, transthyretin and albumin, for detecting and monitoring PCM in hospitalized patients. It was demonstrated that these two markers do provide important information predictive of outcomes for those they identify at risk for PCM. The patients who entered the study with or developed low transthyretin and albumin experienced poorer health outcomes and higher costs of care. Their discharge occurred in an early phase of recovery, with significant implications for after-discharge care. The full-scale study must consider severity of illness and other confounders during randomization and, preferably, be conducted in institutions that currently do not use transthyretin for nutrition assessment.