Screening for malnutrition in patients admitted to the hospital with a proximal femoral fracture

Validity of nutrition screening tools for risk of malnutrition among hospitalized adult patients: A systematic review and meta-analysis

BACKGROUNDS & AIMS

Malnutrition is prevalent among hospitalized patients in developed countries, contributing to negative health outcomes and increased healthcare costs. Timely identification and management of malnutrition are crucial. The lack of a universally accepted definition and standardized diagnostic criteria for malnutrition has led to the development of various screening tools, each with varying validity. This complicates early identification of malnutrition, hindering effective intervention strategies. This systematic review and meta-analysis aimed to identify the most valid and reliable nutritional screening tool for assessing the risk of malnutrition in hospitalized adults.

METHODS

A systematic literature search was conducted to identify validation studies published from inception to November 2023, in the Pubmed/MEDLINE, Embase, and CINAHL databases. This systematic review was registered in INPLASY (INPLASY202090028). The risk of bias and quality of included studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies version 2 (QUADAS-2). Meta-analyses were performed for screening tools accuracy using the symmetric hierarchical summary receiver operative characteristics models.

RESULTS

Of the 1646 articles retrieved, 60 met the inclusion criteria and were included in the systematic review, and 21 were included in the meta-analysis. A total of 51 malnutrition risk screening tools and 9 reference standards were identified. The meta-analyses assessed four common malnutrition risk screening tools against two reference standards (Subjective Global Assessment [SGA] and European Society for Clinical Nutrition and Metabolism [ESPEN] criteria). The Malnutrition Universal Screening Tool (MUST) vs SGA had a sensitivity (95% Confidence Interval) of 0.84 (0.73-0.91), and specificity of 0.85 (0.75-0.91). The MUST vs ESPEN had a sensitivity of 0.97 (0.53-0.99) and specificity of 0.80 (0.50-0.94). The Malnutrition Screening Tool (MST) vs SGA had a sensitivity of 0.81 (0.67-0.90) and specificity of 0.79 (0.72-0.74). The Mini Nutritional Assessment-Short Form (MNA-SF) vs ESPEN had a sensitivity of 0.99 (0.41-0.99) and specificity of 0.60 (0.45-0.73). The Nutrition Universal Screening Tool-2002 (NRS-2002) vs SGA had a sensitivity of 0.76 (0.58-0.87) and specificity of 0.86 (0.76-0.93).

CONCLUSIONS

The MUST demonstrated high accuracy in detecting malnutrition risk in hospitalized adults. However, the quality of the studies included varied greatly, possibly introducing bias in the results. Future research should compare tools within a specific patient population using a valid and universal gold standard to ensure improved patient care and outcomes.

Sarcopenia and Malnutrition Screening in Female Osteoporosis Patients-A Cross-Sectional Study

Sarcopenia and malnutrition are important determinants of increased fracture risk in osteoporosis. SARC-F and MNA-SF are well-established questionnaires for identifying patients at risk for these conditions. We sought to evaluate the feasibility and potential added benefit of such assessments as well as the actual prevalence of these conditions in osteoporosis patients. We conducted a cross-sectional, single-center study in female osteoporosis patients ≥ 65 years (SaNSiBaR-study). Results of the sarcopenia (SARC-F) and malnutrition (MNA-SF) screening questionnaires were matched with a functional assessment for sarcopenia and data from patients’ medical records. Out of 107 patients included in the analysis, a risk for sarcopenia (SARC-F ≥ 4 points) and a risk for malnutrition (MNA-SF ≤ 11 points) was found in 33 (30.8%) and 38 (35.5%) patients, respectively. Diagnostic overlap with coincident indicative findings in both questionnaires was observed in 17 patients (16%). As compared to the respective not-at-risk groups, the mean short physical performance battery (SPPB) score was significantly reduced in both patients at risk for sarcopenia (7.0 vs. 10.9 points, p < 0.001) and patients at risk for malnutrition (8.7 vs. 10.5 points, p = 0.005). Still, confirmed sarcopenia according to EWGSOP2 criteria was present in only 6 (6%) of all 107 patients, with only 3 of them having an indicative SARC-F score. Bone mineral density was not significantly different in any of the at-risk groups at any site. In summary, applying SARC-F and MNA-SF in osteoporosis patients appears to be a complementary approach to identify individuals with functional deficits.

Nutritional Assessment in Older Adults : MNA® 25 years of a Screening Tool and a Reference Standard for Care and Research; What Next?

A tool to assess nutritional status in older persons was really needed. It took 5 years to design the MNA® (Mini Nutrition Assessment) tool, complete the first validations studies both in Europe and in the U.S. and to publish it. After the full MNA®, the MNA® short form and the self-MNA® have been validated. As well as Chinese and other national MNA® forms. Now more than 2000 clinical research have used the MNA® all over the world from community care to hospital. At least 22 Expert groups included the MNA® in new clinical practice guidelines, national or international registries. The MNA® is presently included in almost all geriatric and nutrition textbook and part of the teaching program for medicine and other health care professional worldwide. The urgent need is to target the frail older adults more likely to have weight loss and poor appetite and to prevent frailty and weight loss in the robust. We present in this paper the review of 25 years of clinical research and practice using the MNA® worldwide.

Geriatric Nutritional Risk Index as a Screening Tool to Identify Patients with Malnutrition at a High Risk of In-Hospital Mortality among Elderly Patients with Femoral Fractures-A Retrospective Study in a Level I Trauma Center

BACKGROUND

Malnutrition is frequently underdiagnosed in geriatric patients and is considered to be a contributing factor for worse outcomes during hospitalization. In addition, elderly patients who undergo trauma are often malnourished at the time of incurring fractures. The geriatric nutritional risk index (GNRI), calculated based on the serum albumin level and the ratio of present body weight to ideal body weight, was proposed for the assessment of the nutritional status of elderly patients with various illnesses. This study aimed to investigate whether the GNRI has a prognostic value that links the nutritional status and mortality outcomes of elderly patients who have previously undergone trauma with femoral fractures.

METHODS

From January 1, 2009 to December 31, 2019, a total of 678 elderly patients with femoral fractures were categorized into four nutritional risk groups: a major-risk group (GNRI <82; group 1, n = 127), moderate-risk group (GNRI 82- <92; group 2, n = 179), low-risk group (GNRI 92-98; group 3, n = 123), and no-risk group (GNRI >98; group 4, n = 249). To minimize the confounding effects of sex, age, preexisting comorbidities, and injury severity of patients on outcome measurements, propensity score-matched patient cohorts were created to assess the impact of patients being in different nutritional risk groups on the in-hospital mortality outcomes against the no-risk group.

RESULTS

The patients in groups 1-3 were significantly older and presented a significantly lower body mass index and lower serum albumin levels than those in group 4. Compared with patients in group 4 (3.6%), a significantly higher mortality rate was found in the patients in group 1 (17.3%, p < 0.001), but not in those in group 2 (6.7%) or group 3 (2.4%). The study of propensity score-matched patient cohorts provided similar results; group 1 patients had significantly higher odds of mortality than group 4 patients (odds ratio, 6.3; 95% confidence interval, 1.34-29.37; p = 0.009), but there were no significant differences in mortality risks among patients in groups 2 and 3 compared with those in group 4.

CONCLUSIONS

This preliminary study suggested that the GNRI may be used as a screening tool to identify patients with malnutrition at a high risk of mortality among elderly patients with femoral fractures. A prospective study is needed to validate the suggestion.

The Prognostic Value of Metabolic Profiling in Older Patients With a Proximal Femoral Fracture

Introduction:

High mortality rates of approximately 20% within 1 year after treatment are observed for patients with proximal femoral fractures. This preliminary study explores the prognostic value of a previously constructed mortality risk score based on a set of 14 metabolites for the survival and functional recovery in patients with proximal femoral fractures.

Materials and Methods:

A prospective observational cohort study was conducted including patients admitted with a proximal femoral fracture. The primary outcome was patient survival, and the recovery of independence in activities of daily living was included as a secondary outcome. The mortality risk score was constructed for each patient and its prognostic value was tested for the whole population.

Results:

Data was available form 136 patients. The mean age of all patients was 82.1 years, with a median follow-up of 6 months. Within this period, 19.0% of all patients died and 51.1% recovered to their prefracture level of independence. The mortality score was significantly associated with mortality (HR, 2.74; 95% CI, 1.61-4.66; P < 0.001), but showed only a fair prediction accuracy (AUC = 0.68) and a borderline significant comparison of the mortality score tertile groups in survival analyses (P = 0.049). No decisive associations were found in any of the analyses for the functional recovery of patients.

Discussion:

These findings support the previously determined prognostic value of the mortality risk score. However, the independent prognostic value when adjusted for potential confounding factors is yet to be assessed. Also, a risk score constructed for this specific patient population might achieve higher accuracies for the prediction of survival and functional recovery.

Conclusions:

A modest prediction accuracy was observed for the mortality risk score in this population. More elaborate studies are needed to validate these findings and develop a tailored model for clinical purposes in this patient population.

Prognostic Factors for Short-term Recovery of Independence in a Multistate Model for Patients With a Hip Fracture

OBJECTIVES

This study investigates the transitions of community-dwelling patients with a proximal femoral fracture towards recovery of independence using multistate modeling. The prognostic value of factors affecting the short-term rate of recovery of independence in activities of daily living was assessed for the resilient portion of the population.

DESIGN

An inception cohort was recruited between 2016 and 2019.

SETTING AND PARTICIPANTS

Only community-dwelling older patients admitted with a proximal femoral fracture were included.

MEASURES

Follow-up was performed at 6 weeks and 3 months, when the patients' living situation and level of independence were recorded. Multistate modeling was used to study the transition rates of the population through prespecified states of the recovery process. Using this model, prognostic factors for the recovery of independence were identified for resilient patients (defined as those patients who managed to return home at any point in the follow-up after discharge).

RESULTS

A total of 558 patients were included, and 218 (40.9%) recovered to prefracture levels of independence. Of the resilient patients, 20.7% were discharged home directly, and 79.3% via a rehabilitation home. In this patient group, a more favorable American Society of Anesthesiologists classification, better prefracture mobility, and the absence of a prefracture fear of falling were statistically significantly associated with a successful recovery. A low level of prefracture independence was inversely associated, meaning that patients with a low level of prefracture independence had a higher chance of successful recovery.

CONCLUSIONS AND IMPLICATIONS

This study identified 4 factors with an independent prognostic value for the recovery of independence in resilient patients after a proximal femoral fracture. These factors could be used to construct clinical profiles that contribute to the assessment of the patient's post-acute care needs and recovery capacity. In addition, multistate modeling has been shown to be an effective and versatile tool in the study of recovery prognostics.

European Society for Clinical Nutrition and Metabolism (ESPEN) Malnutrition Criteria for Predicting Major Complications After Hepatectomy and Pancreatectomy

BACKGROUND

Recently, diagnostic criteria for malnutrition have been proposed by the European Society for Clinical Nutrition and Metabolism (ESPEN). This study aimed to investigate the utility of the ESPEN malnutrition criteria as a predictor for major complications following hepatectomy and pancreatectomy.

METHODS

Data were reviewed from 176 consecutive patients who underwent hepatectomy (n = 103) or pancreatectomy (n = 73) between November 2017 and December 2019. Patients were divided into two groups according to the ESPEN malnutrition criteria using a prospectively collected database. The clinical data and the surgical outcomes of patients in the malnourished and normal groups were retrospectively analyzed.

RESULTS

Thirty-five (20%) patients were diagnosed with malnourishment according to ESPEN criteria. The malnourished group had a significantly low preoperative albumin concentration (p = 0.001). After hepatectomy, major complications (Clavien grade ≥ 3a) occurred significantly more frequently in the malnourished group than in the normal group (p = 0.013). Multivariate analysis indicated that operative duration ≥ 300 min (hazard ratio: 22.47, 95% CI: 2.17 to 232.73, p = 0.009) and malnourishment (hazard ratio: 14.56, 95% CI: 2.58 to 82.17, p = 0.002) were independently associated with major complications after hepatectomy. On the other hand, malnutrition was not associated with major complications after pancreatectomy.

CONCLUSIONS

The ESPEN malnutrition criteria are a valuable predictor for major complications following hepatectomy.