Why Don't We Tube Feed Hip Fracture Patients? Findings from the Implementation of an Enteral Tube Feeding Decision Support Tool.

BACKGROUND: This study aimed to report (i) the prevalence of enteral tube feeding (ETF), (ii) investigate whether implementing a decision support tool influenced ETF rates, and (iii) understand reasons influencing decisions to offer ETF. METHODS: A pre/post evaluation included consecutive patients admitted to a hip fracture unit. Following baseline data collection, a published ETF Decision Support Tool was implemented by the multidisciplinary team to determine the necessity and influencing reasons for offering ETF. RESULTS: Pre-post groups (n = 90,86) were well matched for age (83 vs. 84.5 years; p = 0.304) and gender (females 57 vs. 57; p = 0.683). ETF rates remained low across groups (pre/post n = 4,2; p = 0.683) despite high malnutrition prevalence (41.6% vs. 50.6%; p = 0.238). Diverse and conflicting reasons were identified regarding decisions to offer ETF. CONCLUSION: A complex interplay of factors influences the team decision-making process to offer ETF to nutritionally vulnerable patients. These demands are individualised, rather than algorithmic, involving shared decision-making and informed consent processes.

Diagnosis of overweight or obese malnutrition spells DOOM for hip fracture patients: A prospective audit.

BACKGROUND/AIMS: Crude diagnostic parameters such as BMI limit recognition of malnutrition in overweight and obese patients. This study applied a robust malnutrition diagnostic measure to investigate whether malnutrition impacts clinical outcomes in overweight or obese hip fracture inpatients. METHODS: A prospective, consecutive 12-month audit of inpatients admitted to a dedicated hip fracture unit with a BMI of ≥25 for surgical intervention. Univariate and logistic regression analyses were performed to investigate the relationship of demographics (age, gender), comparative measures (type of fracture, Charlson Comorbidity Index (CCI) on admission, time to surgery, type of surgery and anaesthesia, nutrition status) and outcome measures (delirium, time to mobilise post-operatively, length of stay, 12-month mortality). Malnutrition was defined using the International Classification of Diseases, Tenth Revision - Australian Modification protein-energy malnutrition criteria. RESULTS: 127 overweight or obese hip fracture patients for surgical intervention were included in analyses. Patients were predominantly older females (median 81.0, range 48-97 years; 66.9%). Malnutrition prevalence was not infrequent (18.3%) despite the median BMI of 28.3 (range 25.0-63.9). Mortality at 12-months (17.3%) was lower than routinely reported across broader hip fracture populations. Logistic regression modelling demonstrated that malnutrition increased the likelihood of 12-month mortality (OR: 4.47, 95% CI 1.27-15.77; p = 0.020), post-operative delirium (OR: 3.64, 95% CI 1.00 to 13.33; p = 0.051), and delayed post-operative mobility (OR: 3.29, 95% CI 1.05 to 10.31; p = 0.041), in overweight or obese hip fracture patients. Length of stay demonstrated poor association with all predictor measures. CONCLUSION: Hip fracture patients who are both overweight or obese, and malnourished, have significantly and substantially worse clinical outcomes than their well-nourished, albeit overweight or obese, counterparts. Comprehensive nutrition assessment measures should be applied to all hip fracture inpatients to ensure appropriate clinical nutrition care is appropriately directed.

Impact of malnutrition on 12-month mortality following acute hip fracture.

BACKGROUND: Studies investigating the relationship between malnutrition and post-discharge mortality following acute hip fracture yield conflicting results. This study aimed to determine whether malnutrition independently predicted 12-month post-fracture mortality after adjusting for clinically relevant covariates. METHODS: An ethics approved, prospective, consecutive audit was undertaken for all surgically treated hip fracture inpatients admitted to a dedicated orthogeriatric unit (November 2010-October 2011). The 12-month mortality data were obtained by a dual search of the mortality registry and Queensland Health database. Malnutrition was evaluated using the Subjective Global Assessment. Demographic (age, gender, admission residence) and clinical covariates included fracture type, time to surgery, anaesthesia type, type of surgery, post-surgery time to mobilize and post-operative complications (delirium, pulmonary and deep vein thrombosis, cardiac complications, infections). The Charlson Comorbidity Index was retrospectively applied. All diagnoses were confirmed by the treating orthogeriatrician. RESULTS: A total of 322 of 346 patients were available for audit. Increased age (P = 0.004), admission from residential care (P < 0.001), Charlson Comorbidity Index (P = 0.007), malnutrition (P < 0.001), time to mobilize >48 h (P < 0.001), delirium (P = 0.003), pulmonary embolism (P = 0.029) and cardiovascular complication (P = 0.04) were associated with 12-month mortality. Logistic regression analysis demonstrated that malnutrition (odds ratio (OR) 2.4 (95% confidence interval (CI) 1.3-4.7, P = 0.007)), in addition to admission from residential care (OR 2.6 (95% CI 1.3-5.3, P = 0.005)) and pulmonary embolism (OR 11.0 (95% CI 1.5-78.7, P = 0.017)), independently predicted 12-month mortality. CONCLUSIONS: Findings substantiate malnutrition as an independent predictor of 12-month mortality in a representative sample of hip fracture inpatients. Effective strategies to identify and treat malnutrition in hip fracture should be prioritized.

Monitoring ambulation of patients in geriatric rehabilitation wards: the accuracy of clinicians' prediction of patients' walking time.

The aim of this study is to determine whether clinicians' estimates of patients' walking time agree with those determined by accelerometer devices. The walking time was measured using a waist-mounted accelerometer device everyday during the patients' waking hours. At each weekly meeting, clinicians estimated the patients' average daily walking time in the previous week. Twenty-eight clinicians completed 176 estimates of the average daily walking time for 13 patients (78.5 ± 6.6 years old) over 31 weeks. The average daily walking time measured by the accelerometers was 36.4 ± 16.2 min and that estimated by clinicians was 61.3 ± 38.4 min. Clinicians overestimated the amount of walking time by 24.8 min on average (mean% error=165.8%). Most estimates were between an hour less to 2 h more than the accelerometer measurements. Only 38.6% of the estimates agreed with the accelerometer measurements. Therefore, clinician assessment of the level of patient activity in a rehabilitation setting is highly inaccurate and unreliable.