[Refeeding syndrome in geriatric patients : A frequently overlooked complication]. / Refeeding-Syndrom bei geriatrischen Patienten : Eine oft übersehene Komplikation.

The refeeding syndrome is a life-threatening complication that can occur after initiation of a nutrition therapy in malnourished patients. If the risk factors and pathophysiology are known, the refeeding syndrome can effectively be prevented and treated, if recognized early. A slow increase of food intake and the close monitoring of serum electrolyte levels play an important role. Because the refeeding syndrome is not well known and the symptoms may vary extremely, this complication is poorly recognized, especially against the background of geriatric multimorbidity. This overview is intended to increase the awareness of the refeeding syndrome in the risk group of geriatric patients.

Association of anemia with functional and nutritional status in the German multicenter study "GeriAnaemie2013".

OBJECTIVES: Anemia and malnutrition are risk factors for frailty in older people but data from multicenter studies among German geriatric inpatients are lacking. This analysis evaluated data from the multicenter study "GerAnaemie2013" commissioned by the German Geriatric Society. PATIENTS AND METHODS: The study involved an analysis of the 579 geriatric inpatients recruited in the context of the German multicenter study "GeriAnaemie2013". Study parameters: Barthel index (BI), handgrip strength, nutritional data (e.g. loss of appetite, loss of weight and decreased food intake). INCLUSION CRITERIA: in-patient age ≥70 years, exclusion criteria: current cancer disease or cancer-associated treatment. Anemia was defined according to the World Health Organization (WHO) criteria. RESULTS: The mean age of patients was 81.9 years, overall prevalence of anemia 55.1 %, mean hemoglobin (Hb) level 11.9 g/dl, average BI 50.8 points and 30.3 % of all patients were at risk of malnutrition. While univariate analysis revealed a significantly lower BI in anemic patients, this association was no longer seen in multivariate analysis. Regression analysis revealed that a drug intake of > 5 drugs/day doubles the chance of suffering from anemia with an adjusted odds ratio (OR) of 2.17 (confidence interval (CI) 1.28-3.68, p = 0.004) as well as a serum albumin level below 3.5 g/dl with an adjusted OR of 2.11 (range 1.40-3.19, p < 0.001). CONCLUSION: Polymedication and low serum albumin were independent risk factors for anemia in geriatric patients, probably reflecting disease severity.

Risk factors of refeeding syndrome in malnourished older hospitalized patients.

BACKGROUND & AIMS: Despite the high prevalence of malnutrition among older hospitalized persons, it is unknown how many of these malnourished patients are at risk of developing the refeeding syndrome (RFS). In this study, we sought to compare the prevalence and severity of malnutrition among older hospitalized patients with prevalence of known risk factors of RFS. METHODS: This cross-sectional multicenter-study investigated older participants who were consecutively admitted to the geriatric acute care ward. Malnutrition screening was conducted using Nutritional Risk Screening (NRS-2002), Malnutrition Universal Screening Tool (MUST) and Mini Nutritional Assessment-Short Form (MNA-SF). The National Institute for Health and Clinical Excellence (NICE) criteria were applied for assessing patients at risk of RFS. Weight and height were measured. Degree of weight loss (WL) was obtained by interview. Serum phosphate, magnesium, potassium, sodium, calcium, creatinine and urea were analyzed according to standard procedures. RESULTS: The study group comprised 342 participants (222 females) with a mean age of 83.1 ± 6.8 and BMI range of 14.7-43.6 kg/m2. More participants were assessed at risk of malnutrition using NRS-2002 (n = 253, 74.0%) compared to MUST (n = 170, 49.7%) and MNA-SF (n = 191, 55.8%). Of total participants, 239 (69.9%; 157 females) were considered to be at risk of RFS. Based on NRS-2002, 75.9% (n = 192) of patients at risk of malnutrition are at risk of RFS whereas according to MUST and MNA-SF, 85.9% (n = 146) and 69.1% (n = 132) of patients at risk of malnutrition are exposed to high risk of RFS, respectively. In addition, the prevalence of risk of RFS is significantly increased with higher score of NRS-2002 and MUST and lower score of MNA-SF. In a stepwise multiple regression analysis, disease severity (38.2%), WL in 3 months (20.3%) and BMI (33.3%) mainly explained variance in NRS-2002, MUST and MNA-SF scores, respectively, in patients with risk of RFS. CONCLUSION: Nearly three-quarters of geriatric hospitalized patients with risk of malnutrition demonstrated significant risk of RFS. Therefore, additional screening for risk of RFS in patients screened for malnutrition appears to be abdicable among this population.

Association between hematologic parameters and functional impairment among geriatric inpatients: Data of a prospective cross-sectional multicenter study ("GeriPrävalenz2013").

OBJECTIVES: Objective of this study was to analyse the association between impairment of Barthel Index items and hematologic parameters in geriatric inpatients. METHODS: Patient recruitment of the "GeriPrävalenz2013" study has been described before. INCLUSION CRITERIA: in-patient aged>=70years; exclusion criteria: actual cancer disease or cancer associated treatment. Anemia was defined according to WHO criteria. Physical impairment was assessed by Barthel Index (BI). Association between all 10 items of the BI and hematologic parameters was statistically evaluated. RESULTS: Anemia prevalence was 55.1% (319/579) with BI impairment in 96.2% patients. T-test revealed significant lower BI in anemic patients (47.9 vs 54.3; p=0.004). Binary logistic regression revealed that growing age, reduced MCV, reduced iron levels and reduced Hb levels were associated with increased impairment of several items of the Barthel-Index. Interestingly, increased levels of albumin and folic acid (FA) were associated with increased impairment of BI items. CONCLUSION: Anemia and lower levels of anemia related parameters showed a negative impact on ADL and physical performance based on BI items. An impaired total BI should result in an analysis of BI subitems, particularly if anemia related laboratory parameters are deviant. Reasons for the negative impact of elevated FA and albumin levels on BI remain speculative.