Sarcopenia assessed using a questionnaire can predict in-hospital mortality in older patients with pulmonary tuberculosis.

BACKGROUND & AIMS: Pulmonary tuberculosis is a severe disease with a high mortality rate. However, whether sarcopenia is a risk factor for in-hospital mortality remains unclear. The SARC-F (five items: strength, assistance in walking, rising from a chair, climbing stairs, and falls) is a questionnaire developed to screen for sarcopenia. This study aimed to determine whether the high risk of sarcopenia, assessed using the SARC-F questionnaire, affects in-hospital mortality in older patients with pulmonary tuberculosis. METHODS: This was a retrospective, observational study. We included patients with active pulmonary tuberculosis aged ≥65 years who required inpatient treatment between 30 April 2021 and 30 November 2022. We assessed sarcopenia using SARC-F, and SARC-F ≥ 4 points at admission was defined as a high risk of sarcopenia. The primary outcome was all-cause mortality during hospitalisation. We extracted information on age, sex, body mass index, comorbidities, blood and biochemical tests, modified Glasgow Prognostic Score, calf circumference, geriatric nutritional risk index, physiotherapy, and length of hospital stay from medical records. RESULTS: We included 147 patients (mean age: 83.0 ± 7.8 years; males: 61.9%). Ninety-three (63.3%) patients had a high risk of developing sarcopenia. Patients with a high risk of sarcopenia were significantly older (mean: 85.0 ± 7.1 years), had a lower body mass index (median: 18.1 kg/m2, range: 16.1-20.5 kg/m2), had a higher modified Glasgow Prognostic Score (median: 2, range: 2-2), and had a lower calf circumference (mean: 26.8 ± 3.6 cm), had a lower geriatric nutritional risk index (mean: 72.2 ± 12.9) than those without high-risk sarcopenia. More patients with a high risk of sarcopenia underwent physiotherapy (93.5%) than those without high-risk sarcopenia (P < 0.01, all). Kaplan-Meier survival curves showed that patients with a high risk of sarcopenia had significantly lower overall survival than those without high-risk sarcopenia (log-rank test, P = 0.001). Logistic regression analysis for in-hospital mortality showed that a high risk of sarcopenia significantly affected in-hospital mortality (odds ratio [OR]: 6.425, 95% confidence interval [CI]: 1.399-47.299). In addition, logistic regression analysis for each item of SARC-F showed that assistance in walking (OR: 3.931, 95% CI: 1.816-9.617) and rising from a chair (OR: 2.458, 95% CI: 1.235-5.330) significantly affected in-hospital mortality. CONCLUSION: A high risk of sarcopenia, as assessed using SARC-F at admission, was a risk factor for in-hospital mortality in older patients with pulmonary tuberculosis. Among the SARC-F items, assistance in walking and rising from a chair were the risk factors for in-hospital mortality.

Frailty defined by 19 items as a predictor of short-term functional recovery in patients with hip fracture.

INTRODUCTION: Many hip fracture patients have decreased functional status inhibiting recovery to pre-fracture functional status. The prevalence of frailty in patients with hip fracture is high, but little is known how frailty is associated with functional recovery. The aim of this study was to determine whether frailty can predict functional recovery and clinical outcomes during the acute phase in hip fracture. PATIENTS AND METHODS: This study was retrospective observational study from two acute hospitals. Participants were recruited from hip fracture patients who underwent surgery. The main exposure was frailty defined using 19-item modified Frailty Index (mFI). The main outcome was functional recovery, evaluated by postoperative efficiency on the motor-Functional Independence Measure (FIM) score. Secondary outcomes included postoperative complication and discharge disposition. Multiple logistic regression analyses were performed using each outcome as a dependent variable and mFI as an independent variable. RESULTS: Sample included 274 patients (mean age 83.7 ±â€¯7.4 years, female 80.7%). Patients with higher mFI exhibited lower functional recovery, defined by efficiency on the motor-FIM score, and tended to run into complications and not return home (P < .001). In multiple logistic regression analyses, higher mFI was significantly associated with increased likelihood of lower functional recovery (odds ratio [OR], 1.60; 95% CI, 1.32-1.93; P < .001), occurrence of postoperative complication (OR, 1.32; 95% CI, 1.13-1.54; P < .001) and not returning home (OR, 1.77; 95% CI, 1.38-2.26; P < .001). CONCLUSIONS: Frailty defined by 19-item mFI can predict short-term functional recovery during acute phase following hip fracture. Frailty is also associated with postoperative complication and discharge disposition.

Acute phase nutritional screening tool associated with functional outcomes of hip fracture patients: A longitudinal study to compare MNA-SF, MUST, NRS-2002 and GNRI.

BACKGROUND & AIMS: Several hip fracture patients are malnourished, but no study has attempted to determine the optimal nutritional screening tool for predicting functional outcomes. We investigated the association between each nutritional status assessed by four nutritional screening tools at admission and functional outcomes during the postoperative acute phase in hip fracture patients. METHODS: The Mini Nutritional Assessment-Short Form (MNA-SF), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Score 2002 (NRS-2002) and the Geriatric Nutritional Risk Index (GNRI) were assessed at admission before surgery. We evaluated the motor domain of the functional independence measure (motor-FIM) score at discharge, efficiency on the motor-FIM (change in the motor-FIM score after postoperative rehabilitation divided by postoperative length of hospital stay), and 10-m walking speed at postoperative 14 days as functional outcomes. RESULTS: Two hundred and five patients (mean patient age, 83.5 ± 7.0 years; range, 65-100 years; 82% female) were included. The MNA-SF evaluation classified 56 patients as well-nourished, 103 as at risk of malnutrition and 46 as malnourished. The MUST evaluation classified 97 patients as low risk, 42 as medium risk and 66 as high risk. The NRS-2002 evaluation classified 89 patients as well-nourished, 69 as medium risk and 47 as nutritionally at risk. The GNRI evaluation classified 44 patients as no risk, 74 as low risk and 87 as a major risk. Multiple linear regression analysis revealed that MNA-SF had a significant association with discharge motor-FIM (well-nourished vs. at risk of malnutrition, standardised ß = -0.06, p = 0.04; vs. malnourished, standardised ß = -0.32, p < 0.01), efficiency on the motor-FIM (well-nourished vs. malnourished, standardised ß = -0.19, p = 0.02) and 10-m walking speed (well-nourished vs. malnourished, standardised ß = -0.30, p < 0.01). The GNRI was significantly associated with 10-m walking speed (no risk vs. mild risk, standardised ß = -0.23, p = 0.02; vs. major risk, standardised ß = -0.37, p < 0.01), but not of motor-FIM and efficiency on the motor-FIM. No significant relationships were found among MUST and NRS-2002 and any functional outcomes. CONCLUSIONS: The MNA-SF was found to be an optimal nutritional screening tool to associate with functional outcomes during the postoperative acute phase of elderly hip fracture patients.