Handgrip strength predicts length of stay and quality of life in and out of hospital.

BACKGROUND: Handgrip strength (HGS) is a practical measure of strength and physical function that can be used to identify frailty among hospitalized patients, but its utility in this setting is unclear. To be considered useful, any functional measure needs to provide pertinent information on the patient and predict relevant outcomes such as health-care utilization (e.g., length of stay (LOS)) and patient-reported quality of life (QOL). The purpose of this study was to determine if HGS predicted LOS and QOL. A second aim was to examine the best sensitivity (SE) and specificity (SP) for predicting length of stay (>7 or >13 days) using previously published cut-points for HGS. METHODOLOGY: HGS was measured on 1136 medical patients shortly after admission with a Lafayette dynamometer. QOL was assessed with the self-reported SF-12 completed with an interviewer during hospitalization and 30- days after discharge via telephone. Physical (PCS) and mental (MCS) component scores of SF-12 were calculated. A variety of covariates were assessed (e.g., nutritional status). Multivariate analyses stratified by sex were completed. RESULTS: The mean LOS was 12.71 days (median = 8.00; SD = 13.20), 12.88 days (SD = 13.82) for males, and 12.58 days (SD = 12.68) for females. Lower admission HGS scores were associated with longer LOS (male X2 = 7.85, p < 0.05; female X2 = 14.9, p < 0.0001). The average quality of life scores were as follows: in hospital PCS: 34.66, MCS: 46.49; post discharge PCS: 36.17; MCS: 51.22. HGS predicted PCS during hospitalization (male X2 = 36.22, p < 0.0001; female X2 = 19.87, p < 0.0001) and post hospitalization (male X2 = 6.98, p < 0.01; female X2 = 10.99, p < 0.01). Various reference cut-points for HGS were tested against LOS, with none being considered appropriate (e.g., SE and SP both < 70) when adjusting for age and sex. CONCLUSION: Admission HGS adds predictive value for both LOS and physical components of QOL and is worth pursuing in practice to identify potential frailty and the need for proactive steps to mitigate further functional decline during hospitalization. However, HGS cut-points for LOS specific to acute care patients need to be defined and tested.

Handgrip Strength, but Not 5-Meter Walk, Adds Value to a Clinical Nutrition Assessment.

BACKGROUND: Decreased physical functioning is associated with malnutrition and common in acute care patients; determining loss of function is often considered part of a comprehensive nutrition assessment. Handgrip strength (HGS) and 5-meter timed walk (5m) are functional measures used in a variety of settings. This analysis sought to determine which functional measure could be added to a hospital nutrition assessment, based on its feasibility and capacity to discriminate patient subgroups. METHODS: Eligible medical patients (no delirium/dementia, admitted from community; n = 1250), recruited from 5 hospitals that participated in a previous multisite action research study, provided data on demographics, HGS, 5m, nutrition status, perceived disability, and other characteristics. RESULTS: Significantly more patients (z = 17.39, P < .00001) were able to complete HGS than 5m (92% versus 43%, respectively). Median HGS was 28.0 kg for men and 14.7 kg for women. Of patients who completed the 5m, mean completion time was 8.98 seconds (median, 6.79 seconds, SD = 6.59). 5m and HGS scores were significantly worse with patient-perceived disability (z = -9.56, t = 10.69, respectively; P < .0001; 95% confidence interval [CI], [7.33, 10.63]; [1.76, 3.18]). HGS was associated with nutrition status (t = 4.13, P < .001; 95% CI [2.02, 5.67]), although it showed poor validity as a single nutrition indicator. CONCLUSIONS: These data indicate that HGS is a more useful functional measure than 5m when added to a hospital nutrition assessment. Determination of HGS cutpoints to identify low strength in acute care patients will promote its use.

Multi-site implementation of nutrition screening and diagnosis in medical care units: Success of the More-2-Eat project.

BACKGROUND: Improving the detection and treatment of malnourished patients in hospital is needed to promote recovery. AIM: To describe the change in rates of detection and triaging of care for malnourished patients in 5 hospitals that were implementing an evidence-based nutrition care algorithm. To demonstrate that following this algorithm leads to increased detection of malnutrition and increased treatment to mitigate this condition. METHODS: Sites worked towards implementing the Integrated Nutrition Pathway for Acute Care (INPAC), including screening (Canadian Nutrition Screening Tool) and triage (Subjective Global Assessment; SGA) to detect and diagnose malnourished patients. Implementation occurred over a 24-month period, including developmental (Period 1), implementation (Periods 2-5), and sustainability (Period 6) phases. Audits (n = 36) of patient health records (n = 5030) were conducted to identify nutrition care practices implemented with a variety of strategies and behaviour change techniques. RESULTS: All sites increased nutrition screening from Period 1, with three achieving the goal of 75% of admitted patients being screened by Period 3, and the remainder achieving a rate of 70% by end of implementation. No sites were conducting SGA at Period 1, and sites reached the goal of a 75% completion rate or referral for those identified to be at nutrition risk, by Period 3 or 4. By Period 2, 100% of patients identified as SGA C (severely malnourished) were receiving a comprehensive nutritional assessment. In Period 1, the nutrition diagnosis and documentation by the dietitian of 'malnutrition' was a modest 0.37%, increasing to over 5% of all audited health records. The overall use of any Advanced Nutrition Care practices increased from 31% during Period 1 to 63% during Period 6. CONCLUSION: The success of this multi-site study demonstrated that implementation of nutrition screening and diagnosis is feasible and leads to appropriate care. INPAC promotes efficiency in nutrition care while minimizing the risk of missing malnourished patients. TRIAL REGISTRATION: Retrospectively registered ClinicalTrials.gov Identifier: NCT02800304, June 7, 2016.

Low food intake in hospital: patient, institutional, and clinical factors.

In-hospital malnutrition and inadequate food intake have been associated with negative outcomes (e.g., prolonged length of stay, readmission, mortality, and increased hospital costs). Studies examining the factors associated with low food intake in hospital, commonly defined as the consumption of ≤50% of meals, have produced mixed results. We examined the correlates of food intake including patient socioeconomic, demographic, and health characteristics, institutional factors, and common clinical strategies in 1129 medical patients from 5 Canadian hospitals. Low food intake was found in 35% of patients (41% of females and 29% of males) (p < 0.001). In multivariate analyses, sex, socioeconomic status, demographics, and diagnoses were not significantly related to food intake. Patients assessed as malnourished (subjective global assessment (SGA) B/C) (odds ratio (OR), 2.41; p = 0.003) or as not at risk of malnutrition (OR, 1.67; p = 0.040) were more likely to have low intake when compared with those assessed as well nourished (SGA A). Patient reports of mealtime challenges (OR, 2.70; p < 0.001) and barriers to food intake (OR, 1.11; p = 0.008) were positively related to low intake throughout the study sample. Higher 12-Item Short Form Health Survey Mental Component Summary scores were related to better food intake (OR, 0.98; p < 0.001). Clinical strategies such as between-meal snacks lowered the likelihood of low food intake (OR, 0.55; p = 0.037), whereas a group of "other strategies" increased the odds (OR, 2.77; p = 0.001). These results offer a better understanding of the correlates of in-hospital low food intake. The conclusion discusses some avenues for improving food intake in the clinical setting, such as better mealtime monitoring and a reduction in barriers to food intake.

Nutrition Care after Discharge from Hospital: An Exploratory Analysis from the More-2-Eat Study.

Many patients leave hospital in poor nutritional states, yet little is known about the post-discharge nutrition care in which patients are engaged. This study describes the nutrition-care activities 30-days post-discharge reported by patients and what covariates are associated with these activities. Quasi-randomly selected patients recruited from 5 medical units across Canada (n = 513) consented to 30-days post-discharge data collection with 48.5% (n = 249) completing the telephone interview. Use of nutrition care post-discharge was reported and bivariate analysis completed with relevant covariates for the two most frequently reported activities, following recommendations post-discharge or use of oral nutritional supplements (ONS). A total of 42% (n = 110) received nutrition recommendations at hospital discharge, with 65% (n = 71/110) of these participants following those recommendations; 26.5% (n = 66) were taking ONS after hospitalization. Participants who followed recommendations were more likely to report following a special diet (p = 0.002), different from before their hospitalization (p = 0.008), compared to those who received recommendations, but reported not following them. Patients taking ONS were more likely to be at nutrition risk (p < 0.0001), malnourished (p = 0.0006), taking ONS in hospital (p = 0.01), had a lower HGS (p = 0.0013; males only), and less likely to believe they were eating enough to meet their body's needs (p = 0.005). This analysis provides new insights on nutrition-care post-discharge.

Malnutrition or frailty? Overlap and evidence gaps in the diagnosis and treatment of frailty and malnutrition.

There is increasing awareness of the detrimental health impact of frailty on older adults and of the high prevalence of malnutrition in this segment of the population. Experts in these 2 arenas need to be cognizant of the overlap in constructs, diagnosis, and treatment of frailty and malnutrition. There is a lack of consensus regarding the definition of malnutrition and how it should be assessed. While there is consensus on the definition of frailty, there is no agreement on how it should be measured. Separate assessment tools exist for both malnutrition and frailty; however, there is intersection between concepts and measures. This narrative review highlights some of the intersections within these screening/assessment tools, including weight loss/decreased body mass, functional capacity, and weakness (handgrip strength). The potential for identification of a minimal set of objective measures to identify, or at least consider risk for both conditions, is proposed. Frailty and malnutrition have also been shown to result in similar negative health outcomes and consequently common treatment strategies have been studied, including oral nutritional supplements. While many of the outcomes of treatment relate to both concepts of frailty and malnutrition, research questions are typically focused on the frailty concept, leading to possible gaps or missed opportunities in understanding the effect of complementary interventions on malnutrition. A better understanding of how these conditions overlap may improve treatment strategies for frail, malnourished, older adults.