High SARC-F score predicts poor survival of patients with cancer receiving palliative care

A Systematic Review of Prognostic Factors in Patients with Cancer Receiving Palliative Radiotherapy: Evidence-Based Recommendations

(1) Background: Prognostication in patients with cancer receiving palliative radiotherapy remains a challenge. To improve the process, we aim to identify prognostic factors in this population from the literature and offer evidence-based recommendations on prognostication in patients undergoing palliative radiotherapy for non-curable or advanced cancers. (2) Methods: A systematic review was performed on the medical literature from 2005 to 2023 to extract papers on the prognosis of palliative radiotherapy patients with advanced cancer. The initial selection was performed by at least two authors to determine study relevance to the target area. Studies were then classified based on type and evidence quality to determine final recommendations. (3) Results: The literature search returned 57 papers to be evaluated. Clinical and biological prognostic factors were identified from these papers to improve clinical decision making or construct prognostic models. Twenty prognostic models were identified for clinical use. There is moderate evidence supporting (i) evidence-based factors (patient, clinical, disease, and lab) in guiding decision making around palliative radiation; (ii) that certain biological factors are of importance; (iii) prognostication models in patients with advanced cancer; and that (iv) SBRT or re-irradiation use can be guided by predictions of survival by prognostic scores or clinicians. Patients with more favorable prognoses are generally better suited to SBRT or re-irradiation, and the use of prognostic models can aid in this decision making. (4) Conclusions: This evaluation has identified several factors or tools to aid in prognosis and clinical decision making. Future studies should aim to further validate these tools and factors in a clinical setting, including the leveraging of electronic medical records for data availability. To increase our understanding of how causal factors interact with palliative radiotherapy, future studies should also examine and include prediction of response to radiation as an outcome.

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.

Establishing a common metric for physical function: Linking SARC-F and PROMIS® physical function

INTRODUCTION

Aligned with the increasing need for standardized assessment of physical function in older individuals with cancer and other conditions, several patient-reported outcome measures (PROMs) have been developed and published. The aim of this study is to link the Strength, Assistance with walking, Rising from a chair, Climbing stairs, and Falls questionnaire (SARC-F), and the Patient-Reported Outcomes Measurement Information System® (PROMIS®) Physical Function Short Form 8c (PROMIS PF 8c), and make their scores convertible, in order to expand the use of both instruments in research and inform clinicians and researchers about the interchangeability of critical cut-off scores.

MATERIALS AND METHODS

The sample included 300 participants recruited from an online panel. Participants were included if they had received a cancer diagnosis from a clinician and reported receiving anti-cancer treatment. We conducted five linking procedures and selected an optimal one to generate the crosswalk table between the two measures.

RESULTS

The linked T scores of all five methods showed acceptably small mean differences from the observed T scores, and the standard deviation (SD), and root-mean-squared deviation (RMSD) of the differences were generally similar across all methods. After comparing across all statistics, the Stocking-Lord approach was considered as the optimal approach to compute the crosswalk table for converting SARC-F raw scores to PROMIS PF 8c scores. The crosswalk table shows that the SARC-F cut-off value of 4 between healthy versus symptomatic with a corresponding score of 37 fell in the range of moderate physical function limitation from 30 to 39 on the PROMI PF 8c T score metric.

DISCUSSION

The linkage in this study has potential for improving clinical and research activities for people with cancer and perhaps others with a similar range of physical function. It facilitates the interpretability in scores of both measures on a common metric anchored on general population for further group-level analysis. Researchers can use this crosswalk to harmonize data collected from either instrument without requiring all cohorts to administer the same instrument for a prospective data collection or retrospective data analysis purpose or for a cross-study effectiveness study.

Clinical validation of SARC-F by proxy as a practical tool to evaluate sarcopenia in dependent older adults

INTRODUCTION

Sarcopenia is a prevalent disorder in older adults with significant adverse outcomes and regular screening is recommended for those at risk. The SARC-F questionnaire is the most commonly recommended screening tool for sarcopenia. However, as a self-reported tool, it cannot be applied to dependent individuals with communication problems. We hypothesized that implementation of the proxy-reported SARC-F (SARC-F by proxy) would be non-inferior in screening sarcopenia when compared with the standard SARC-F. Thus, we aimed to investigate the clinical validity of the SARC-F by proxy in identifying sarcopenia in older adults and to compare its performance with the standard SARC-F. Additionally, we aimed to determine the ideal cut-off of SARC-F by proxy in screening sarcopenia.

MATERIALS AND METHODS

This is a validation study including older adults aged ≥60 years without communication problems and their close proxies. The participants were recruited from a geriatric outpatient clinic of a tertiary health center and a nursing home. Standard SARC-F was transformed to SARC-F by proxy and administered to the proxies of older adults, and standard SARC-F was administered to the patients simultaneously in different rooms. We defined sarcopenia as probable and confirmed by the EWGSOP2 consensus report. We performed receiver operating characteristics (ROC) and sensitivity/specificity analyses of SARC-F by proxy for diagnosing sarcopenia and compared its performance with standard SARC-F by the DeLong test.

RESULTS

We included 172 older adults (median age: 72; 44.8% female) and 107 proxies in close contact (median age: 55, 63.2% female). The prevalence of probable and confirmed sarcopenia was 18.9% and 12.9%, respectively. For both definitions, area under the curve (AUC) values of SARC-F by proxy and standard SARC-F were moderate and similar [probable sarcopenia: 0.619 and 0.624 (p = 0.9); confirmed sarcopenia 0.613 and 0.645 (p = 0.7), respectively]. The best balance between sensitivity and specificity was achieved with a SARC-F by proxy score of ≥2 for both sarcopenia definitions (sensitivity levels were 74.7% and 77.8%, and specificity levels were 50.0% and 49.6%, for probable and confirmed sarcopenia, respectively).

DISCUSSION

SARC-F by proxy showed a similar, non-inferior performance compared to the standard SARC-F in the evaluation of sarcopenia. Our results suggest that it can be used instead of standard SARC-F to screen sarcopenia in older patients with communication problems. Further validation studies in different populations are warranted to support our findings.

Chemotherapy periodization to maximize resistance training adaptations in oncology

INTRODUCTION

Engaging in exercise programs during cancer treatment is challenging due to the several chemotherapy-induced side effects. Using a pre-clinical model that mimics chemotherapy treatment, we investigated if a periodized-within-chemotherapy training strategy can maximize resistance training (RT) adaptations such as increasing muscle mass and strength.

METHODS

Swiss mice were randomly allocated into one of the following five groups (n = 14): control (C), resistance training (RT), chemotherapy-treated non-exercised group (Ch), resistance training chemotherapy treated (RTCh), and resistance training periodized-within-chemotherapy (RTPCh). Doxorubicin (i.p.) was weekly injected for a total of 3 weeks (total dose of 12 mg/kg). Resistance training consisted of ladder climbing with progressive intensity, three times a week for 3 weeks, during chemotherapy treatment. RTPCh prescriptions considered "bad day" adjustments while RTCh did not. "Bad day" adjustments considered the presence or absence of clinical signs (e.g., severe weight loss, diarrhea, mice refusing to train) to replace RT sessions. At the end of the third week, animals were euthanized.

RESULTS

Weekly doxorubicin injection promoted progressive body weight loss, muscle atrophy, strength loss, local oxidative stress, and elevated inflammatory mediators, such as TNF-α and IL-6. Non-periodized-within-chemotherapy RT promoted mild protection against doxorubicin-induced skeletal muscle disturbances; moreover, when periodized-within-chemotherapy was applied, RT prevented elevated skeletal muscle inflammatory mediators and oxidative damage markers and promoted muscle mass and strength gains.

CONCLUSION

Considering chemotherapy-induced side effects is a crucial aspect when prescribing resistance exercise during cancer, it will maximize the effectiveness of exercise in enhancing muscle mass and strength.

Creatine Supplementation Potentiates Exercise Protective Effects against Doxorubicin-Induced Hepatotoxicity in Mice

We tested the hypothesis that creatine supplementation may potentiate exercise’s protective effects against doxorubicin-induced hepatotoxicity. Thirty-eight Swiss mice were randomly allocated into five groups: control (C, n = 7), exercised (Ex, n = 7), treated with doxorubicin (Dox, n = 8), treated with doxorubicin and exercised (DoxEx, n = 8), and treated with doxorubicin, exercised, and supplemented with creatine (DoxExCr, n = 8). Doxorubicin was administered weekly (i.p.) for a total dose of 12 mg/kg. Creatine supplementation (2% added to the diet) and strength training (climbing stairs, 3 times a week) were performed for a total of 5 weeks. The results demonstrated that doxorubicin caused hepatotoxicity, which was evidenced by increased (p < 0.05) hepatic markers of inflammation (i.e., TNF-α and IL-6) and oxidative damage, while the redox status (GSH/GSSG) was reduced. The plasma concentrations of liver transaminases were also significantly (p < 0.05) elevated. Furthermore, doxorubicin-treated animals presented hepatic fibrosis and histopathological alterations such as cellular degeneration and the infiltration of interstitial inflammatory cells. Exercise alone partly prevented doxorubicin-induced hepatotoxicity; thus, when combined with creatine supplementation, exercise was able to attenuate inflammation and oxidative stress, morphological alterations, and fibrosis. In conclusion, creatine supplementation potentiates the protective effects of exercise against doxorubicin-induced hepatotoxicity in mice.

Prevalence of Four Sarcopenia Criteria in Older Patients with Cancer, and Their Predictive Value for 6-Month Mortality: The NutriAgeCancer National Prospective Cohort Study

Older cancer patients have an elevated risk of sarcopenia. The aim was to estimate the prevalence of four criteria for sarcopenia case finding, assessment, diagnosis, and severity determination: abnormal strength, assistance with walking, rising from a chair, climbing stairs, and falls (SARC-F), low hand-grip strength (HGS), low arm circumference (AC, a muscle mass proxy), and low physical performance (PP). Sarcopenia (low HGS and AC) and severe sarcopenia (low HGS, AC, and PP) and their predictive values for 6-month mortality were estimated in the whole population and by metastatic status. We analyzed data from the NutriAgeCancer French nationwide study of cancer patients aged ≥70 referred for geriatric assessment before anti-cancer treatment. We performed Cox proportional hazards analysis for each criterion separately and all criteria combined. Overall, 781 patients from 41 geriatric oncology clinics were included (mean age: 83.1; females: 53%; main cancer types: digestive (29%) and breast (17%); metastases: 42%). The prevalence of abnormal SARC-F, low HGS, a low AC, low PP, sarcopenia, and severe sarcopenia were, respectively, 35.5%, 44.6%, 44.7%, 35.2%, 24.5%, and 11.7%. An abnormal SARC-F and/or low HGS, sarcopenia, and severe sarcopenia were associated with 6-month mortality in patients with metastases (adjusted hazard ratios [95% confidence interval]: 2.72 [1.34-5.49], 3.16 [1.48-6.75] and 6.41 [2.5-16.5], respectively). Sarcopenia was strongly predictive of 6-month mortality in patients with metastatic cancer.

Cachexia staging score predicts survival in patients with cancer who receive palliative care

OBJECTIVE

The aim of this study was to validate the cachexia staging score (CSS), a multidimensional, item-based diagnostic method of cachexia severity, for patients with advanced cancer receiving palliative care.

METHODS

Eligible patients were those with cancer who received palliative care during hospitalization between May 2019 and April 2020. All data were collected retrospectively from medical records. Cachexia was graded into four levels according to the CSS. Kaplan-Meier curves were constructed with or without death as the outcome, comparing prognoses among different levels of cachexia with Bonferroni correction. Cox proportional hazards regression analysis was performed to identify factors affecting mortality.

RESULTS

The mean age of the 196 patients was 65.8 ± 14 y. Men made up 42% of the study population. Lower body mass index, increased rate of weight loss, increased strength, assistance walking, rising from a chair, climbing stairs, and falls (SARC-F) points, decline in activities of daily living, appetite loss, and abnormal blood biomarkers were significantly more common with increasing severity of cachexia, and survival was shorter (P < 0.001). The hazard ratio (HR) increased with worsening severity of cachexia according to CSS classification (precachexia: HR, 2.78; 95% confidence interval [CI], 0.62-12.46, P = 0.182; cachexia: HR, 4.77; 95% CI, 1.09-20.80; P = 0.038; and refractory cachexia: HR, 11.00; 95% CI, 2.37-51.07; P = 0.002).

CONCLUSIONS

The CSS predicted life expectancy in a population of patients receiving palliative care and had excellent prognostic discriminative power to classify patients at different stages of cachexia.

SARC-F Is a Predictor of Longer LOS and Hospital Readmission in Hospitalized Patients after a Cardiovascular Event

It is already established that sarcopenia is associated with adverse outcomes; however, few studies have focused on patients who have suffered an acute cardiovascular event. The use of SARC-F, a 5-item sarcopenia screening questionnaire, in these patients remains to be investigated. We aimed to investigate whether SARC-F can predict adverse outcomes in patients admitted to a hospital with a suspected infarction. This is a 1-year prospective cohort study. During hospitalization, patients completed the SARC-F questionnaire (scores ≥ 4 considered positive for the risk of sarcopenia). Length of hospital stay (LOS), new hospital admission, myocardial infarction, and cardiovascular mortality were collected via medical records and phone interviews. In total, 180 patients were evaluated. The median age was 60.6 years; 72.3% of the participants were men, and half of the sample had comorbidities. The median SARC-F score was 1.0 (interquartile range, 0–3.0), and 21.1% of the participants screened positive. Risk of sarcopenia was independently associated with longer LOS (odds ratio, 2.34; 95% CI, 1.09–5.04; p = 0.030) and hospital readmission (odds ratio, 3.73; 95% CI, 1.60–8.69; p = 0.002). One-fifth of post-acute cardiovascular event patients in this cohort screened positive for sarcopenia using the SARC-F screening questionnaire. Positive scores were associated with a longer LOS and hospital readmission.