Associations between Patient-Generated Subjective Global Assessment criteria and all-cause mortality among cancer patients: Evidence from baseline and longitudinal analyses

OBJECTIVES

The prognostic effects of the Patient-Generated Subjective Global Assessment (PG-SGA) criteria in cancer survivors have been observed but require validation in clinical practice. This study was designed to evaluate the prognostic effects of baseline and longitudinal changes in PG-SGA scores on all-cause mortality among Chinese cancer patients in a real-world setting.

METHODS

Study patients were selected from one representative tertiary hospital in West China. Kaplan-Meier curves and Cox regression analyses were used to estimate the prognostic effect of baseline and dynamic changes in PG-SGA scores on the all-cause mortality of cancer patients. Receiver operating characteristic curves and a concordance index were used to evaluate the predictive accuracy of PG-SGA criteria.

RESULTS

A total of 1415 cancer patients were included in this study, with a mean age of 46 years old. Cox regression analysis showed that baseline malnourished status was significantly associated with the survival of cancer patients (PG-SGA 4-8: hazard ratio [HR] = 1.46, 95% confidence interval [CI]: 1.09-1.96, P = 0.012; PG-SGA ≥9: HR = 1.78, 95% CI: 1.34-2.37, P < 0.001). Cancer patients with longitudinal increased PG-SGA scores (>2 points) were observed to have high risks for mortality (HR = 1.69, 95% CI: 1.04-2.74, P = 0.033). Compared with longitudinal changes in PG-SGA scores, baseline malnourished status showed higher predictive power in identifying the risk subgroup (concordance index: 0.646 vs. 0.586). Sensitivity analyses supported the main findings.

CONCLUSIONS

This study highlights the prognostic value of baseline and dynamic changes in PG-SGA scores for cancer patients, which can help improve their outcomes.

Health economic evaluation of an artificial intelligence (AI)-based rapid nutritional diagnostic system for hospitalised patients: A multicentre, randomised controlled trial

BACKGROUND & AIMS

Malnutrition is prevalent among hospitalised patients, and increases the morbidity, mortality, and medical costs; yet nutritional assessments on admission are not routine. This study assessed the clinical and economic benefits of using an artificial intelligence (AI)-based rapid nutritional diagnostic system for routine nutritional screening of hospitalised patients.

METHODS

A nationwide multicentre randomised controlled trial was conducted at 11 centres in 10 provinces. Hospitalised patients were randomised to either receive an assessment using an AI-based rapid nutritional diagnostic system as part of routine care (experimental group), or not (control group). The overall medical resource costs were calculated for each participant and a decision-tree was generated based on an intention-to-treat analysis to analyse the cost-effectiveness of various treatment modalities. Subgroup analyses were performed according to clinical characteristics and a probabilistic sensitivity analysis was performed to evaluate the influence of parameter variations on the incremental cost-effectiveness ratio (ICER).

RESULTS

In total, 5763 patients participated in the study, 2830 in the experimental arm and 2933 in the control arm. The experimental arm had a significantly higher cure rate than the control arm (23.24% versus 20.18%; p = 0.005). The experimental arm incurred an incremental cost of 276.52 CNY, leading to an additional 3.06 cures, yielding an ICER of 90.37 CNY. Sensitivity analysis revealed that the decision-tree model was relatively stable.

CONCLUSION

The integration of the AI-based rapid nutritional diagnostic system into routine inpatient care substantially enhanced the cure rate among hospitalised patients and was cost-effective.

REGISTRATION

NCT04776070 (https://clinicaltrials.gov/study/NCT04776070).

Comparison of the Global Leadership Initiative on Malnutrition and the Patient-Generated Subjective Global Assessment for diagnosing malnutrition in patients undergoing surgery for hepatobiliary and pancreatic malignancies

Introduction

Objective: to analyse the differences in malnutrition assessment between the Global Leadership Initiative on Malnutrition (GLIM) criteria and the Patient-Generated Subjective Global Assessment (PG-SGA) among patients with hepatobiliary and pancreatic malignancies. Method: this study was a cross-sectional study and included 126 hospitalised patients who underwent surgery for hepatobiliary and pancreatic malignancies between November 1, 2019 and August 1, 2020. The patients' clinical data were collected, and malnutrition assessments were completed using the different nutritional assessment tools. The consistency of both tools was analysed using Cohen's kappa coefficient. Results: the prevalence of malnutrition showed a difference in diagnosis results between the GLIM criteria (36.51 %) and the PG-SGA (55.56 %). The two methods had moderate consistency (kappa = 0.590, p < 0.01). The sensitivity of a malnutrition diagnosis using a combination of GLIM and PG-SGA was 65.7 % (53.3 % and 76.4 %, respectively), and specificity was 100 % (92 % and 100 %, respectively). When malnutrition was evaluated using only PG-SGA, sensitivity was 88.9 % (95 % confidence interval (CI) 63.9 % to 98.1 %), whereas when only the GLIM score was used for malnutrition evaluation, sensitivity was 98.2 % (95 % CI, 92.8 % to 99.7 %). In addition, the PG-SGA score and the GLIM score had significant correlations. Conclusion: GLIM performed better than PG-SGA in the correlation analysis of nutritional indicators. GLIM is more suitable for patients with hepatobiliary and pancreatic malignancies than PG-SGA.

Remote Symptom Alerts and Patient-Reported Outcomes (PROS) in Real-World Breast Cancer Practice: Innovative Data to Derive Symptom Burden and Quality of Life

Treatment for breast cancer (BC) can lead to debilitating symptoms that can reduce outcomes and quality of life (QoL). Symptom surveillance using a remote symptom monitoring (RSM) platform enables the capture and reporting of patient-reported outcomes (PROs) from home. Women with BC used an RSM platform to complete weekly surveys and report any symptoms experienced during treatment. Symptoms reported as moderate/severe generated alerts to the clinical team. Clinical actions in response to the alert were captured. Results highlighted the value of data generated from a PRO-generated alert system to characterize longitudinal symptom burden and QoL in real-world BC practice, particularly in patients with poor functional status. The most prevalent symptoms that resulted in alerts were pain, nausea/vomiting, neuropathy, fatigue, and constipation. Most women reported one or more moderate/severe symptoms that generated an alert with an average of two alerts per week. Patients with frail status had more alerts, worse QoL and higher treatment bother, indicating that frail patients may benefit from continuous monitoring of symptoms, function, and QoL over time. A case study of patients without pre-existing peripheral neuropathy showed the rapid trajectory from the first report of mild neuropathy until alerts were generated, making a case for early intervention.

Value of the modified Patient-Generated Subjective Global Assessment in indicating the need for nutrition intervention and predicting overall survival in patients with malignant tumors in at least two organs

BACKGROUND

Although the Patient-Generated Subjective Global Assessment (PG-SGA) is a reference standard used to assess a patient's nutrition status, it is cumbersome to administer. The aim of the present study was to estimate the value of a simpler and easier-to-use modified PG-SGA (mPG-SGA) to evaluate the nutrition status and need for intervention in patients with malignant tumors present in at least two organs.

METHODS

A total of 591 patients (343 male and 248 female) were included from the INSCOC study. A Pearson correlation analysis was conducted to assess the correlation between the mPG-SGA and nutrition-related factors, with the optimal cut-off defined by a receiver operating characteristic curve (ROC). The consistency between the mPG-SGA and PG-SGA was compared in a concordance analysis. A survival analysis was used to determine the effects of nutritional intervention among different nutrition status groups. Univariable and multivariable Cox analyses were applied to evaluate the association of the mPG-SGA with the all-cause mortality.

RESULTS

The mPG-SGA showed a negative association with nutrition-related factors. Individuals with an mPG-SGA ≥ 5 (rounded from 4.5) were considered to need nutritional intervention. Among the malnourished patients (mPG-SGA ≥ 5), the overall survival (OS) of those who received nutrition intervention was significantly higher than that of patients who did not. However, the OS was not significantly different in the better-nourished patients (mPG-SGA < 5).

CONCLUSION

Our findings support that the mPG-SGA is a feasible tool that can be used to guide nutritional interventions and predict the survival of patients with malignant tumors affecting at least two organs.

Palliative radiotherapy: New prognostic factors for patients with bone metastasis

PURPOSE

Many cancer patients develop bone metastases, however the prognosis of overall survival differs. To provide an optimal treatment for these patients, especially towards the end of life, a reliable prediction of survival is needed. The goal of this study was to find new clinical factors in relation to overall survival.

MATERIALS AND METHODS

Prospectively 22 clinical factors were collected from 734 patients. The Kaplan-Meier and Cox regression models were used.

RESULTS

Most patients were diagnosed with lung cancer (29%), followed by prostate (19.8%) and breast cancer (14.7%). Median overall survival was 6.4months. Fourteen clinical factors showed significance in the univariate analyses. In the multivariate analyses 6 factors were found to be significant for the overall survival: Karnofsky performance status, primary tumor, gender, total organs affected, morphine use and systemic treatment options after radiotherapy.

CONCLUSION

Morphine use and systemic treatment options after radiotherapy, Karnofsky performance status, primary tumor, gender and total organs affected are strong prediction factors on overall survival after palliative radiotherapy in patients with bone metastasis. These factors are easily applicable in the clinic.

Body Composition Analysis Techniques and Its Application in Oncology: A Review

The oncology community has shown growing interest to understand how body composition measures can be utilized to improve cancer treatment and survivorship care for about 20 million individuals diagnosed with cancer annually. Recent observational studies demonstrate that muscle and adipose tissue distribution are risk factors for clinical outcomes such as postoperative complications, and worse overall survival. There is an emergent recognition that body mass index (BMI) is neither adequate to identify patients with adverse health outcomes due to poor muscle health or excess adiposity, nor does BMI accurately classify the distribution of adiposity. Abdominal CT is a most frequently imaging examination for a wide variety of clinical indications, but it is only used to diagnose the immediate problem. Additionally, each CT examination contains very robust data on body composition which generally goes unused in routine clinical practice. The field is eager to identify therapeutic interventions that modify body composition and reduce the incidence of poor clinical outcomes in this population. Large scale population based screening is feasible now by making all of these relevant biometric measures fully automated through the use of artificial intelligence algorithms, which provide rapid and objective assessment.

Prognostic Effect of Performance Status on Outcomes of Patients with Colorectal Cancer Receiving First-Line Chemotherapy: A Meta-analysis

BACKGROUND

Performance status (PS) is a variable derived from the assessment of a patient's functional status, originally proposed to predict drug toxicity. However, despite its characteristic of being subjective and unidimensional, it has become one of the most important prognostic variables for patients with metastatic colorectal cancer (mCRC). In light of the considerable progressive prolongation of median overall survival (OS) of patients with mCRC, it is unclear whether PS continues to be a valid prognostic factor. This article aims to perform a meta-analysis to verify the current prognostic role of PS.

METHODS

A search on two databases of prospective trials of first-line chemotherapy in mCRC patients, published in English from 1991 to 2020, was done by predefined criteria. After the selection of phase III trials evaluating the prognostic role of PS, a meta-analysis has been performed.

RESULTS

Thirteen trials were included in the meta-analysis. They reported a reduction in the risk of death with a PS 0 compared to a PS 1 or more (HR 0.63, CI 0.54-0.72; 13 studies), which was confirmed for the comparison between PS 0 and PS 1. However, the study found significant heterogeneity (Q = 68.10; p-value < 0.001) and high-grade inconsistency (I2 = 82.38%). Therefore, to explore the reasons for the heterogeneity, a univariate meta-regression was performed, which suggested a possible moderating activity for liver metastases and timing of metastasis.

CONCLUSIONS

PS is a reliable prognostic factor for patients with mCRC receiving first-line chemotherapy but is poorly evaluated in phase III trials.

Appetite and its association with mortality in patients with advanced cancer - a Post-hoc Analysis from the Palliative D-study

BACKGROUND

Loss of appetite is a common nutrition symptom in patients with cancer. Understanding the trajectory of appetite could be of clinical use for prognostication in palliative cancer care. Our primary aim was to explore the association between self-assessed appetite and mortality in patients suffering from advanced cancer. Secondary aims included the relation between fatigue, albumin levels and CRP/albumin ratio and mortality. We also aimed to study potential sex-differences in the associations.

METHODS

Post-hoc analyses were performed using data from the Palliative D-study comprising 530 patients with cancer admitted to palliative care. Appetite and fatigue were assessed with the Edmonton Symptom Assessment System (ESAS). Cox proportional hazards models were used to calculate Hazard ratios (HR) with 95% confidence intervals (CI) for exposures of appetite, fatigue, albumin and CRP/albumin ratio, and time from study inclusion to death or censoring. Analyses were also performed stratified by sex.

RESULTS

The follow-up time ranged between 7 to 1420 days. Moderate and poor appetite were significantly associated with a higher mortality rate compared to reporting a good appetite; HR 1.44 (95%CI: 1.16-1.79) and HR 1.78 (95%CI: 1.39-2.29), respectively. A higher mortality rate was also seen among participants reporting severe fatigue compared to those reporting no fatigue; HR 1.84 (95%CI:1.43-2.36). Participants with low albumin levels (< 25 g/L) and those in the highest tertile of CRP/albumin ratio, had higher mortality rates, HR 5.35 (95%CI:3.75-7.63) and HR 2.66 (95%CI:212-3.35), compared to participants with high albumin levels (> 36 g/L) and those in lowest tertile of CRP/albumin ratio. These associations were more pronounced in men than in women.

CONCLUSION

Poor appetite, severe fatigue, low albumin level and a high CRP/albumin ratio were associated with increased mortality rates among patients with advanced cancer. All these variables might be clinically useful for prognostication in palliative cancer care.

TRIAL REGISTRATION

Clinicaltrial.gov. Identifier: NCT03038516;31, January 2017.

Development and external validation of a predictive multivariable model for last-weeks survival of advanced cancer patients in the palliative home care setting (PACS)

PURPOSE

Various prognostic indexes have been proposed to improve physicians' ability to predict survival time in advanced cancer patients, admitted to palliative care (PC) with a survival probably to a few weeks of life, but no optimal score has been identified. The study aims therefore to develop and externally validate a new multivariable predictive model in this setting.

METHODS

We developed a model to predict short-term overall survival in cancer patients on the basis of clinical factors collected at PC admission. The model was developed on 1020 cancer patients prospectively enrolled to home palliative care at VIDAS Milan, Italy, between May 2018 and February 2020 and followed-up to June 2020, and validated in two separate samples of 544 home care and 247 hospice patients.

RESULTS

Among 68 clinical factors considered, five predictors were included in the predictive model, i.e., rattle, heart rate, anorexia, liver failure, and the Karnofsky performance status. Patient's survival probability at 5, 15, 30 and 45 days was estimated. The predictive model showed a good calibration and moderate discrimination (area under the receiver operating characteristic curve between 0.72 and 0.79) in the home care validation set, but model calibration was suboptimal in hospice patients.

CONCLUSIONS

The new multivariable predictive model for palliative cancer patients' survival (PACS model) includes clinical parameters routinely at patient's admission to PC and can be easily used to facilitate immediate and appropriate short-term clinical decisions for PC cancer patients in the home setting.

The Impact of NUTRItional Status at First Medical Oncology Visit on Clinical Outcomes: The NUTRIONCO Study

Malnutrition affects up to 75% of cancer patients and results from a combination of anorexia and metabolic dysregulation. Metabolic and nutritional abnormalities in cancer patients can lead to cachexia, a multifactorial syndrome characterized by involuntary loss of skeletal muscle mass, systemic inflammation and increased protein catabolism. Cancer cachexia negatively affects patients' outcomes, response to anticancer treatments, quality of life, and survival. However, risk of malnutrition, and cachexia are still under-recognized in cancer patients. The Prevalence of Malnutrition in Oncology (PreMiO) study revealed that 51% of patients already had nutritional deficiencies at their first medical oncology visit. Here, we report the results of the subsequent retrospective, observational NUTRItional status at first medical oncology visit ON Clinical Outcomes (NUTRIONCO) study, aimed at assessing the impact of baseline nutritional and non-nutritional variables collected in the PreMiO study on the clinical outcomes of the same patients followed up from August 2019 to October 2021. We have highlighted a statistically significant association between baseline variables and patient death, rehospitalization, treatment toxicity, and disease progression at follow-up. We found a higher overall survival probability in the well-nourished general study population vs. malnourished patients (p < 0.001). Of major interest is the fact that patient stratification revealed that malnutrition decreased survival probability in non-metastatic patients but not in metastatic patients (p < 0.001). Multivariate analysis confirmed that baseline malnutrition (p = 0.004) and VAS score for appetite loss (p = 0.0104), in addition to albumin < 35 g/L (p < 0.0001) and neutrophil/lymphocyte ratio > 3 (p = 0.0007), were independently associated with the death of non-metastatic patients at follow-up. These findings highlight the importance of proactive, early management of malnutrition and cachexia in cancer patients, and in particular, in non-metastatic patients, from the perspective of a substantial improvement of their clinical outcomes.

Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter study

BACKGROUND & AIMS

The present study aimed to compare the ability of the GLIM criteria, PG-SGA and mPG-SGA to diagnose malnutrition and predict survival among Chinese lung cancer (LC) patients.

METHODS

This was a secondary analysis of a multicenter, prospective, nationwide cohort study, 6697 LC inpatients were enrolled between July 2013 and June 2020. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), area under the curve (AUC), and quadratic weighted Kappa coefficients were calculated to compare the ability to diagnose malnutrition. There were 754 patients who underwent follow-up for a median duration of 4.5 years. The associations between the nutritional status and survival were analyzed by the Kaplan-Meier method and multivariable Cox proportional hazard regression models.

RESULTS

The median age of LC patients was 60 (53, 66), and 4456 (66.5%) were male. There were 617 (9.2%), 752 (11.2%), 1866 (27.9%), and 3462 (51.7%) patients with clinical stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ LC, respectively. Malnutrition was present in 36.1%-54.2% (as evaluated using different tools). Compared with the PG-SGA (used as the diagnostic reference), the sensitivity of the mPG-SGA and GLIM was 93.7% and 48.3%; the specificity was 99.8% and 78.4%; and the AUC was 0.989 and 0.633 (P < 0.001). The weighted Kappa coefficients were 0.41 for the PG-SGA vs. GLIM, 0.44 for the mPG-SGA vs. GLIM, and 0.94 for the mPG-SGA vs PG-SGA in patients with stage Ⅰ-Ⅱ LC. These values were respectively 0.38, 0.39, and 0.93 in patients with stage Ⅲ-Ⅳ of LC. In a multivariable Cox analysis, the mPG-SGA (HR = 1.661, 95%CI = 1.348-2.046, P < 0.001), PG-SGA (HR = 1.701, 95%CI = 1.379-2.097, P < 0.001) and GLIM (HR = 1.657, 95%CI = 1.347-2.038, P < 0.001) showed similar death hazard ratios.

CONCLUSIONS

The mPG-SGA provides nearly equivalent power to predict the survival of LC patients as the PG-SGA and the GLIM, indicating that all three tools are applicable for LC patients. The mPG-SGA has the potential to be an alternative replacement for quick nutritional assessment among LC patients.

Prognosis-Related Nutritional Score for Cancer Patients (PRNS): a clinical nutritional score derived from a retrospective cohort study

Background

Nutritional assessment and quality of life (QOL) have become important indices for therapeutic efficacy in patients with malignancies. We aim to develop and validate an easy-to-use questionnaire with prognostic value to assess nutritional status in hospitalized cancer patients.

Methods

A comprehensive survey focused on patient-generated subjective global assessment (PG-SGA) and 30-item European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire (EORTC QLQ-C30 Chinese version) was performed in a cohort of 22,776 patients derived from the INSCOC study. Among them, 1948 patients were followed for 3 years after admission. An observational, retrospective, cross-sectional cohort study was conducted in accordance with TRIPOD statement. Breiman's random forest model was applied to calculate variable importance (VIMP) for items in PG-SGA and EORTC QLQ-C30 (Chinese version) for nutritional recommendation. Cox regression model was employed to construct Prognosis-Related Nutritional Score for Cancer Patients (PRNS). Kaplan–Meier Survival curve, ROC and DCA were calculated to evaluate prognostic value of nutritional status categorized by PRNS, and compared with PG-SGA.

Results

Nutritional status was classified into 4 levels by PRNS scores: well nourished (≤ 4.5 points), mild malnourished (5–7.5 points), moderate malnourished (8–14.5 points), and severe malnourished (≥ 15 points). Significant median overall survival differences were found among nutritional status groups stratified by the PRNS (all Ps < 0.05). Compared with PG-SGA, PRNS had better prognostic value for survival stratified by nutritional status. The external, internal validity, test–retest reliability and rater reliability were satisfactory.

Conclusions

We systematically developed and validated PRNS as a nutrition screening tool for cancer patients. Compared with PG-SGA, PRNS has better prognostic value and simpler operation.

Trial registration

Investigation on Nutrition Status and its Clinical Outcome of Common Cancers, ChiCTR1800020329. Registered 24 December 2018—Retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=31813

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-022-03696-x.

Creatinine-cystatin C ratio and mortality in cancer patients: a retrospective cohort study

BACKGROUND

Muscle wasting is prevalent in cancer patients, and early recognition of this phenomenon is important for risk stratification. Recent studies have suggested that the creatinine-cystatin C ratio may correlate with muscle mass in several patient populations. The association between creatinine-cystatin C ratio and survival was assessed in cancer patients.

METHODS

A total of 3060 patients who were evaluated for serum creatinine and cystatin C levels at the time of cancer diagnosis were included. The primary outcome was 6-month mortality. The 1-year mortality, and length of intensive care unit (ICU) and hospital stay were also evaluated.

RESULTS

The mean age was 61.6 ± 13.5 years, and 1409 patients (46.0%) were female. The median creatinine and cystatin C levels were 0.9 (interquartile range [IQR], 0.6-1.3) mg/dL and 1.0 (IQR, 0.8-1.5) mg/L, respectively, with a creatinine-cystatin C ratio range of 0.12-12.54. In the Cox proportional hazards analysis, an increase in the creatinine-cystatin C ratio was associated with a significant decrease in the 6-month mortality (per 1 creatinine-cystatin C ratio, hazard ratio [HR] 0.35; 95% confidence interval [CI], 0.28-0.44). When stratified into quartiles, the risk of 6-month mortality was significantly lower in the highest quartile (HR 0.30; 95% CI, 0.24-0.37) than in the lowest quartile. Analysis of 1-year mortality outcomes revealed similar findings. These associations were independent of confounding factors. The highest quartile was also associated with shorter lengths of ICU and hospital stay (both P < 0.001).

CONCLUSIONS

The creatinine-cystatin C ratio at the time of cancer diagnosis significantly associates with survival and hospitalization in cancer patients.

Prediction of post-radiotherapy survival for bone metastases: a comparison of the 3-variable number of risk factors model with the new Katagiri scoring system

We investigated patient survival after palliative radiotherapy for bone metastases while comparing the prognostic accuracies of the 3-variable number of risk factors (NRF) model and the new Katagiri scoring system (Katagiri score). Overall, 485 patients who received radiotherapy for bone metastases were grouped as per the NRF model (groups I, II and III) and Katagiri score (low-, intermediate- and high-risk). Survival was compared using the log-rank or log-rank trend test. Independent prognostic factors were identified using multivariate Cox regression analyses (MCRA). MCRA and receiver operating characteristic (ROC) curves were used to compare both models' accuracy. For the 376 evaluable patients, the overall survival (OS) rates decreased significantly in the higher-tier groups of both models (P < 0.001). All evaluated factors except 'previous chemotherapy status' differed significantly between groups. Both models exhibited independent predictive power (P < 0.001). Per NRF model, hazard ratios (HRs) were 1.44 (P = 0.099) and 2.944 (P < 0.001), respectively, for groups II and III, relative to group I. Per Katagiri score, HRs for intermediate- and high-risk groups were 4.02 (P < 0.001) and 7.09 (P < 0.001), respectively, relative to the low-risk group. Areas under the curve (AUC) for predicting 6-, 18- and 24-month mortality were significantly higher when using the Katagiri score (P = 0.036, 0.039 and 0.022). Both models predict survival. Prognostic accuracy of the Katagiri score is superior, especially in patients with long-term survival potential; however, in patients with short prognosis, no difference occurred between both models; simplicity and patient burden should also be considered.

Reduction on Proinflammatory Cytokines after Application of Transcutaneous Electrical Nerve Stimulation (TENS) in Patients with a Breast Cancer: A Nonrandomized, Open, and Single-Arm Study Protocol with Paired Analysis

Background. Transcutaneous electrical nerve stimulation (TENS) has been used as analgesic therapy in many diseases. It is already known that studies that have observed the relationship between pain and cytokines have found that patients who report less severe pain have less production of proinflammatory cytokines. However, one another accepted mechanism is that decreasing proinflammatory cytokines results in decreased pain intensity. Analyzing the literature, the authors describe that, in addition to the analgesic effect, TENS has shown systemic effects, and clinically, the reduction of proinflammatory cytokines could be a protective factor against inflammation. To test the inflammatory effect of TENS, we researched the literature for clinical conditions that suggest that proinflammatory cytokines are one of the main mediators of the disease process. Chronic inflammation is one of the risk factors mentioned for the development of a new cancer; at the same time, it is indicated as an indicator of the worst prognosis. Studies also suggest that the worst prognosis of breast cancer, one of the types with the highest incidence in the world, may be related to increased inflammatory activity. Considering that inflammation is increased in breast cancer and that TENS can reduce proinflammatory cytokines even without blocking the pain pathway, our hypothesis is that the anti-inflammatory effect of TENS can bring benefits to these patients. The aim of this study will be to evaluate the effect of TENS on blood reduction of proinflammatory cytokines in breast cancer patients. Methods. This study will evaluate at least 59 patients, over 18 years of age, diagnosed with breast cancer, but who have not yet started any treatment. All patients will be submitted to TENS intervention (Ibramed, Model Neurodyn III, parameters: VIF—turn on, frequency—2-247 Hz, pulse size—50-500 μs, and intensity (mA)—maximum tolerated by the patient), and the data will be analyzed in the pre- and postintervention of each patient. The application has a total duration of 30 minutes, and 8 ml of blood will be collected before and after the intervention. Proinflammatory (IL-1, IL-2, IL-6, IL-7, and TNF-α) and anti-inflammatory (IL-4, IL-10, IL-13, and FTCβ) cytokines will be analyzed. As a primary endpoint, we will analyze the reduction in blood concentration of proinflammatory cytokines, and as secondary endpoints, we will analyze the size of the effect according to each type of proinflammatory cytokine, describe the effect size of the reduction according to the breast cancer immunohistochemistry, and analyze the effect of TENS on anti-inflammatory cytokines. This study is approved by the Research Ethics Committee (Centro Universitário FMABC, Brazil) and registered in the Brazilian Clinical Trials (Search text: RBR-10jbwh47).

Relationship Between Nutritional Status and Clinical Outcome in Patients With Gastrointestinal Stromal Tumor After Surgical Resection

Background

Currently, gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors in the gastrointestinal tract, and surgical resection is the main treatment. Malnutrition after gastrointestinal surgery is not uncommon, which may have adverse effects on postoperative recovery and prognosis. However, the nutritional status of GIST patients after surgical resection and its impact on clinical outcomes have received less attention. Therefore, the aim of this study was to dynamically evaluate the nutritional status of GIST patients undergoing surgical resection, and to analyze the correlation between nutritional status and clinical outcomes.

Methods

We retrospectively analyzed the clinical data of GIST patients who underwent surgical resection in the Fourth Hospital of Hebei Medical University from January 2016 to January 2020. Nutritional risk screening 2002 (NRS2002) and Patient-Generated Subjective Global Assessment (PG-SGA) were used to assess the nutritional status of all patients at admission and discharge, and the correlation between nutritional risk and clinical outcomes was analyzed.

Results

A total of 413 GIST patients were included in this study, among which 114 patients had malnutrition risk at admission (NRS2002 score ≥ 3), and 65 patients had malnutrition (PG-SGA score ≥ 4). The malnutrition risk rate (27.60 vs. 46.73%, p &lt; 0.001) and malnutrition incidence (15.73 vs. 37.29%, p &lt; 0.001) at admission were lower than those at discharge. Compared with the laboratory results at admission, the albumin, prealbumin, and total protein of the patients at discharge were significantly lower (all p &lt; 0.05). And there was a negative correlation between PG-SGA and clinical outcome (all p &lt; 0.05).

Conclusion

The nutritional status of GIST patients after surgical resection at discharge was worse than that at admission, and malnutrition is an important risk factor leading to poor clinical outcomes.

Development and validation of a Modified Patient-Generated Subjective Global Assessment as a nutritional assessment tool in cancer patients

BACKGROUND

Completing Patient-Generated Subjective Global Assessment (PG-SGA) questionnaires is time consuming. This study aimed to develop and validate an easy-to-use modified PG-SGA (mPG-SGA) for cancer patients.

METHODS

Seventy professionals assessed the content validity, comprehensibility, and difficulty of the full PG-SGA. A survey including the PG-SGA and other questionnaires was completed by 34 071 adult hospitalized cancer patients with first cancer diagnosis or recurrent disease with any tumour comorbidities from the INSCOC study. Among them, 1558 patients were followed for 5 years after admission. Reliability and rank correlation were estimated to assess the consistency between PG-SGA items and to select mPG-SGA items. The external and internal validity, test-retest reliability, and predictive validity were tested for the mPG-SGA via comparison with both the PG-SGA and abridged PG-SGA (abPG-SGA).

RESULTS

After deleting items that more than 50% of professionals considered difficult to evaluate (Worksheet 4) and items with an item-total correlation <0.1, the mPG-SGA was constructed. Nutritional status was categorized using mPG-SGA scores as well-nourished (0 points) or mildly (1-2 points), moderately (3-6 points), or severely malnourished (≥7 points) based on the area under curve (0.962, 0.989, and 0.985) and maximal sensitivity (0.924, 0.918, and 0.945) and specificity (1.000, 1.000, and 0.938) of the cut-off scores. The external and internal validity and test-retest reliability were good. Significant median overall survival differences were found among nutritional status groups categorized by the mPG-SGA: 24, 18, 14, and 10 months for well-nourished, mildly malnourished, moderately malnourished, and severely malnourished, respectively (all Ps < 0.05). Neither the PG-SGA nor the abridged PG-SGA could discriminate the median overall survival differences between the well-nourished and mildly malnourished groups.

CONCLUSIONS

We systematically developed and validated the mPG-SGA as an easier-to-use nutritional assessment tool for cancer patients. The mPG-SGA appears to have better predictive validity for survival than the PG-SGA and abridged PG-SGA.

Predictors of Mortality in Patients with Advanced Cancer-A Systematic Review and Meta-Analysis

To timely initiate advance care planning in patients with advanced cancer, physicians should identify patients with limited life expectancy. We aimed to identify predictors of mortality. To identify the relevant literature, we searched Embase, MEDLINE, Cochrane Central, Web of Science, and PubMed databases between January 2000-April 2020. Identified studies were assessed on risk-of-bias with a modified QUIPS tool. The main outcomes were predictors and prediction models of mortality within a period of 3-24 months. We included predictors that were studied in ≥2 cancer types in a meta-analysis using a fixed or random-effects model and summarized the discriminative ability of models. We included 68 studies (ranging from 42 to 66,112 patients), of which 24 were low risk-of-bias, and 39 were included in the meta-analysis. Using a fixed-effects model, the predictors of mortality were: the surprise question, performance status, cognitive impairment, (sub)cutaneous metastases, body mass index, comorbidity, serum albumin, and hemoglobin. Using a random-effects model, predictors were: disease stage IV (hazard ratio [HR] 7.58; 95% confidence interval [CI] 4.00-14.36), lung cancer (HR 2.51; 95% CI 1.24-5.06), ECOG performance status 1+ (HR 2.03; 95% CI 1.44-2.86) and 2+ (HR 4.06; 95% CI 2.36-6.98), age (HR 1.20; 95% CI 1.05-1.38), male sex (HR 1.24; 95% CI 1.14-1.36), and Charlson comorbidity score 3+ (HR 1.60; 95% CI 1.11-2.32). Thirteen studies reported on prediction models consisting of different sets of predictors with mostly moderate discriminative ability. To conclude, we identified reasonably accurate non-tumor specific predictors of mortality. Those predictors could guide in developing a more accurate prediction model and in selecting patients for advance care planning.

Development and validation of a prediction model of poor performance status and severe symptoms over time in cancer patients (PROVIEW+)

BACKGROUND

Predictive cancer tools focus on survival; none predict severe symptoms.

AIM

To develop and validate a model that predicts the risk for having low performance status and severe symptoms in cancer patients.

DESIGN

Retrospective, population-based, predictive study.

SETTING/PARTICIPANTS

We linked administrative data from cancer patients from 2008 to 2015 in Ontario, Canada. Patients were randomly selected for model derivation (60%) and validation (40%). Using the derivation cohort, we developed a multivariable logistic regression model to predict the risk of an outcome at 6 months following diagnosis and recalculated after each of four annual survivor marks. Model performance was assessed using discrimination and calibration plots. Outcomes included low performance status (i.e. 10-30 on Palliative Performance Scale), severe pain, dyspnea, well-being, and depression (i.e. 7-10 on Edmonton Symptom Assessment System).

RESULTS

We identified 255,494 cancer patients (57% female; median age of 64; common cancers were breast (24%); and lung (13%)). At diagnosis, the predicted risk of having low performance status, severe pain, well-being, dyspnea, and depression in 6-months is 1%, 3%, 6%, 13%, and 4%, respectively for the reference case (i.e. male, lung cancer, stage I, no symptoms); the corresponding discrimination for each outcome model had high AUCs of 0.807, 0.713, 0.709, 0.790, and 0.723, respectively. Generally these covariates increased the outcome risk by >10% across all models: lung disease, dementia, diabetes; radiation treatment; hospital admission; pain; depression; transitional performance status; issues with appetite; or homecare.

CONCLUSIONS

The model accurately predicted changing cancer risk for low performance status and severe symptoms over time.

Diagnostic criteria for cancer cachexia: reduced food intake and inflammation predict weight loss and survival in an international, multi-cohort analysis

BACKGROUND

Cancer-associated weight loss (WL) associates with increased mortality. International consensus suggests that WL is driven by a variable combination of reduced food intake and/or altered metabolism, the latter often represented by the inflammatory biomarker C-reactive protein (CRP). We aggregated data from Canadian and European research studies to evaluate the associations of reduced food intake and CRP with cancer-associated WL (primary endpoint) and overall survival (OS, secondary endpoint).

METHODS

The data set included a total of 12,253 patients at risk for cancer-associated WL. Patient-reported WL history (% in 6 months) and food intake (normal, moderately, or severely reduced) were measured in all patients; CRP (mg/L) and OS were measured in N = 4960 and N = 9952 patients, respectively. All measures were from a baseline assessment. Clinical variables potentially associated with WL and overall survival (OS) including age, sex, cancer diagnosis, disease stage, and performance status were evaluated using multinomial logistic regression MLR and Cox proportional hazards models, respectively.

RESULTS

Patients had a mean weight change of -7.3% (±7.1), which was categorized as: ±2.4% (stable weight; 30.4%), 2.5-5.9% (19.7%), 6.0-10.0% (23.2%), 11.0-14.9% (12.0%), ≥15.0% (14.6%). Normal food intake, moderately, and severely reduced food intake occurred in 37.9%, 42.8%, and 19.4%, respectively. In MLR, severe WL (≥15%) (vs. stable weight) was more likely (P < 0.0001) if food intake was moderately [OR 6.28, 95% confidence interval (CI 5.28-7.47)] or severely reduced [OR 18.98 (95% CI 15.30-23.56)]. In subset analysis, adjusted for food intake, CRP was independently associated (P < 0.0001) with ≥15% WL [CRP 10-100 mg/L: OR 2.00, (95% CI 1.58-2.53)] and [CRP > 100 mg/L: OR 2.30 (95% CI 1.62-3.26)]. Diagnosis, stage, and performance status, but not age or sex, were significantly associated with WL. Median OS was 9.9 months (95% CI 9.5-10.3), with median follow-up of 39.7 months (95% CI 38.8-40.6). Moderately and severely reduced food intake and CRP independently predicted OS (P < 0.0001).

CONCLUSIONS

Modelling WL as the dependent variable is an approach that can help to identify clinical features and biomarkers associated with WL. Here, we identify criterion values for food intake impairment and CRP that may improve the diagnosis and classification of cancer-associated cachexia.

Near-term prognostic impact of integrated muscle mass and function in upper gastrointestinal cancer

BACKGROUND

Despite the known association between muscle mass/function and malnutrition-related mortality in upper gastrointestinal (UGI) cancer, no comprehensive study to determine the impact of muscle mass-dominant nutritional status on cancer prognosis has been conducted. The present study aimed to investigate the prognostic significance of integrated muscle mass and function in UGI cancer.

METHODS

Between July 2013 and March 2018, we enrolled 2546 cancer patients with risks of malnutrition (Nutrition Risk Screening 2002, ≥3 points) from a multicenter cohort study and split 527 patients with primary UGI cancer into an internal validation group. We prospectively performed instant nutritional assessment and recorded all general clinical characteristics of the participants, such as weight loss, body mass index, anthropometric measurements of muscle mass and function, dietary intake conditions, and disease burden and/or inflammation status based on the validated tools. Prognostic analyses were performed with post-assessment overall survival (OS).

RESULTS

According to the entire set, UGI cancer was identified as the dominant risk factor for disease burden and inflammation criteria (hazard ratio (HR), 2.08, 95% confidence interval (Cl), 1.81-2.39, P < 0.001). Integrated muscle mass/function analysis with validated cutoff values showed that hand grip strength/weight followed by triceps skinfold thickness and maximum calf circumference are the most potent predictors. Univariate and multivariate analyses revealed that reduced muscle mass/function (74.8%) and dietary intake (66.2%) independently affect OS of patients with UGI cancer. Significant associations were found between the reduced muscle mass/reduced dietary intake and the shortest OS (HR, 4.48; 95% Cl, 3.07-6.53; P < 0.001). Appending subgroups of muscle mass/function and dietary intake to the pre-existing risk model increased the efficiency of the time-dependent receiver operating characteristic curve analysis for OS in UGI cancer, particularly within 2 years of instant nutritional assessment.

CONCLUSION

Impaired muscle mass/function adversely affects the near-term prognosis in patients with UGI cancer. Along with a comprehensive evaluation of dietary intake conditions, the timely nutritional assessment might be useful for risk stratification of UGI cancers with potential for enteral and parenteral nutrition interventions.

REGISTRATION NUMBER

ChiCTR1800020329.

Validation of the scored Patient-Generated Subjective Global Assessment Short Form as a prognostic tool for patients with incurable cancer

BACKGROUND

The Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) is a standardized tool for assessing nutrition risk in patients with cancer. The aim of this study was to propose and validate a cutoff point for the PG-SGA SF related to the prognosis of patients with incurable cancer in exclusive palliative care.

METHODS

This is a prospective cohort study of patients with incurable cancer at the National Cancer Institute in Brazil. A total sample (n = 2,144) was randomly divided into groups: (1) training (n = 1,072), to determine the most accurate PG-SGA SF cutoff, and (2) validation (n = 1,072), to test the predictive accuracy of this cutoff point. The receiver operating characteristic curve was plotted to determine the best cutoff point of the PG-SGA SF related to death. Concordance statistics (C statistic) were used to test the predictive accuracy of the models. Kaplan-Meier curve and the Cox hazard model were used to verify a prognostic value of the cutoff point.

RESULTS

PG-SGA SF score ≥15 was found to be the best cutoff based on 90-day mortality with good accuracy discrimination (C statistic ≥ 0.74). Patients whose PG-SGA SF score was ≥15 had a shorter survival of 32 (interquartile range [IQR], 12-75) vs 83 days (IQR, 31-90) (p-value < .001) and higher risk of death (hazard ratio: 2.20; 95% CI, 1.64-2.95).

CONCLUSIONS

The proposed PG-SGA SF cutoff score is valid and, alongside its usefulness in nutrition triage, could provide prognostic value for patients with incurable cancer.

A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data

BACKGROUND AND AIMS

Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This study established a machine learning (ML)-based, individualized decision system to identify and grade malnutrition using large-scale data from cancer patients.

METHODS

This was an observational, nationwide, multicenter cohort study that included 14134 cancer patients from five institutions in four different geographic regions of China. Multi-stage K-means clustering was performed to isolate and grade malnutrition based on 17 core nutritional features. The effectiveness of the identified clusters for reflecting clinical characteristics, nutritional status and patient outcomes was comprehensively evaluated. The study population was randomly split for model derivation and validation. Multiple ML algorithms were developed, validated and compared to screen for optimal models to implement the cluster prediction.

RESULTS

A well-nourished cluster (n = 8193, 58.0%) and a malnourished cluster with three phenotype-specific severity levels (mild = 2195, 15.5%; moderate = 2491, 17.6%; severe = 1255, 8.9%) were identified. The clusters showed moderate agreement with the Patient-Generated Subjective Global Assessment and the Global Leadership Initiative on Malnutrition criteria. The severity of malnutrition was negatively associated with the nutritional status, physical status, quality of life, and short-term outcomes, and was monotonically correlated with reduced overall survival. A multinomial logistic regression was found to be the optimal ML algorithm, and models built based on this algorithm showed almost perfect performance to predict the clusters in the validation data.

CONCLUSIONS

This study developed a fusion decision system that can be used to facilitate the identification and severity grading of malnutrition in patients with cancer. Moreover, the study workflow is flexible, and might provide a generalizable solution for the artificial intelligence-based assessment of malnutrition in a wider variety of scenarios.

Prognosis palliative care study, palliative prognostic index, palliative prognostic score and objective prognostic score in advanced cancer: a prospective comparison

BACKGROUND

Predicting how long a patient with far advanced cancer has to live is a significant part of hospice and palliative care. Various prognostic models have been developed, but have not been fully compared in South Korea.

OBJECTIVES

We aimed to compare the accuracy of the Prognosis in Palliative Care Study (PiPS), Palliative Prognostic Index (PPI), Palliative Prognostic Score (PaP) and Objective Prognostic Score (OPS) for patients with far advanced cancer in a palliative care unit in South Korea.

METHODS

This prospective study included patients with far advanced cancer who were admitted to a single palliative care unit at the National University Hospital. Variables for calculating the prognostic models were recorded by a palliative care physician. The survival rate was estimated using the Kaplan-Meier method. The sensitivity, specificity, positive predictive value and negative predictive value of each model were calculated.

RESULTS

A total of 160 patients participated. There was a significant difference in survival rates across all groups, each categorised through the five prognostic models. The overall accuracy (OA) of the prognostic models ranged between 54.5% and 77.6%. The OA of clinicians' predictions of survival ranged between 61.9% and 81.3%.

CONCLUSION

The PiPS, PPI, PaP and OPS were successfully validated in a palliative care unit of South Korea. There was no difference in accuracy between the prognostic models, and OA tended to be lower than in previous studies.

A novel model with nutrition-related parameters for predicting overall survival of cancer patients

BACKGROUND

Increasing evidence indicates that nutritional status could influence the survival of cancer patients. This study aims to develop and validate a nomogram with nutrition-related parameters for predicting the overall survival of cancer patients.

PATIENTS AND METHODS

A total of 8749 patients from the multicentre cohort study in China were included as the primary cohort to develop the nomogram, and 696 of these patients were recruited as a validation cohort. Patients' nutritional status were assessed using the PG-SGA. LASSO regression models and Cox regression analysis were used for factor selection and nomogram development. The nomogram was then evaluated for its effectiveness in discrimination, calibration, and clinical usefulness by the C-index, calibration curves, and decision curve analysis. Kaplan-Meier survival curves were used to compare the survival rate.

RESULTS

Seven independent prognostic factors were identified and integrated into the nomogram. The C-index was 0.73 (95% CI, 0.72 to 0.74) and 0.77 (95% CI, 0.74 to 0.81) for the primary cohort and validation cohort, which were both higher than 0.59 (95% CI, 0.58 to 0.61) of the TNM staging system. DCA demonstrated that the nomogram was higher than the TNM staging system and the TNM staging system combined with PG-SGA. Significantly median overall survival differences were found by stratifying patients into different risk groups (score < 18.5 and ≥ 18.5) for each TNM category (all Ps < 0.001).

CONCLUSION

Our study screened out seven independent prognostic factors and successfully generated an easy-to-use nomogram, and validated and shown a better predictive validity for the overall survival of cancer patients.

ESPEN practical guideline: Clinical Nutrition in cancer

BACKGROUND

This practical guideline is based on the current scientific ESPEN guidelines on nutrition in cancer patients.

METHODS

ESPEN guidelines have been shortened and transformed into flow charts for easier use in clinical practice. The practical guideline is dedicated to all professionals including physicians, dieticians, nutritionists and nurses working with patients with cancer.

RESULTS

A total of 43 recommendations are presented with short commentaries for the nutritional and metabolic management of patients with neoplastic diseases. The disease-related recommendations are preceded by general recommendations on the diagnostics of nutritional status in cancer patients.

CONCLUSION

This practical guideline gives guidance to health care providers involved in the management of cancer patients to offer optimal nutritional care.

Cancer-associated anorexia: Validity and performance overtime of different appetite tools among patients at their first cancer diagnosis

BACKGROUND & AIMS

Anorexia is a frequent symptom in cancer and we aimed to assess its prevalence among patients at their first cancer diagnosis by different appetite tools and the relationship between each tool with self-reports of food intake. We also tested whether cancer anorexia influences outcomes independently of reduced food intake or body weight loss (BWL) overtime and whether BWL was associated with complications during anticancer-therapy.

METHODS

Functional Assessment of Anorexia/Cachexia Therapy (FAACT) score, self-assessment of appetite, Anorexia Questionnaire (AQ) and Visual Analog Scale (VAS) were administered. Percent of food intake was used as a criterion measure of anorexia. We registered BWL and anticancer-therapy complications over 3-month-follow-up.

RESULTS

438 cancer patients from 7 cancer-centers worldwide were included. The prevalence of anorexia was 39.9% by FAACT score, 40.2% by VAS, 40.6% by the self-assessment of appetite and 65.4% by AQ. Low food intake (≤50%) was reported in 28% of patients. All appetite tools correlated with food intake percent (P < 0.0001). We documented a correlation between self-assessment of appetite, FAACT score, VAS and BWL overtime (P < 0.04). The self-assessment of appetite (P = 0.0152) and the FAACT score (P = 0.043) were associated with BWL independently of anticancer therapies. Among patients with BWL, the risk to develop complications was greater with respect to those who maintained a stable or gained body weight (P = 0.03).

CONCLUSIONS

In our sample of cancer patients, FAACT score and self-assessment of appetite performed well when low food intake was used as a criterion measure, and revealed an association of anorexia with BWL, which was, in turn, related to the development of anticancer-therapy complications.

Nutritional features-based clustering analysis as a feasible approach for early identification of malnutrition in patients with cancer

BACKGROUND

Malnutrition is prevalent that can impair multiple clinical outcomes in oncology populations. This study aimed to develop and utilize a tool to optimize the early identification of malnutrition in patients with cancer.

METHODS

We performed an observational cohort study including 3998 patients with cancer at two teaching hospitals in China. Hierarchical clustering was performed to classify the patients into well-nourished or malnourished clusters based on 17 features reflecting the phenotypic and etiologic dimensions of malnutrition. Associations between the identified clusters and patient characteristics were analyzed. A nomogram for predicting the malnutrition probability was constructed and independent validation was performed to explore its clinical significance.

RESULTS

The cluster analysis identified a well-nourished cluster (n = 2736, 68.4%) and a malnourished cluster (n = 1262, 31.6%) in the study population, which showed significant agreement with the Patient-Generated Subjective Global Assessment and the Global Leadership Initiative on Malnutrition criteria (both P < 0.001). The malnourished cluster was negatively associated with the nutritional status, physical status, quality of life, short-term outcomes and was an independent risk factor for survival (HR = 1.38, 95%CI = 1.22-1.55, P < 0.001). Sex, gastrointestinal symptoms, weight loss percentages (within and beyond 6 months), calf circumference, and body mass index were incorporated to develop the nomogram, which showed high performance to predict malnutrition (AUC = 0.972, 95%CI = 0.960-0.983). The decision curve analysis and independent external validation further demonstrated the effectiveness and clinical usefulness of the tool.

CONCLUSIONS

Nutritional features-based clustering analysis is a feasible approach to define malnutrition. The derived nomogram shows effectiveness for the early identification of malnutrition in patients with cancer.

Classification Tree-Based Machine Learning to Visualize and Validate a Decision Tool for Identifying Malnutrition in Cancer Patients

BACKGROUND

The newly proposed Global Leadership Initiative on Malnutrition (GLIM) framework is promising to gain global acceptance for diagnosing malnutrition. However, the role of machine learning in facilitating its application in clinical practice remains largely unknown.

METHODS

We performed a multicenter, observational cohort study including 3998 patients with cancer. Baseline malnutrition was defined using the GLIM criteria, and the study population was randomly divided into a derivation group (n = 2998) and a validation group (n = 1000). A classification and regression trees (CART) algorithm was used to develop a decision tree for classifying the severity of malnutrition in the derivation group. Model performance was evaluated in the validation group.

RESULTS

GLIM criteria diagnosed 588 patients (14.7%) with moderate malnutrition and 532 patients (13.3%) with severe malnutrition among the study population. The CART cross-validation identified 5 key predictors for the decision tree construction, including age, weight loss within 6 months, body mass index, calf circumference, and the Nutritional Risk Screening 2002 score. The decision tree showed high performance, with an area under the curve of 0.964 (κ = 0.898, P < .001, accuracy = 0.955) in the validation group. Subgroup analysis showed that the model had apparently good performance in different cancers. Among the 5 predictors constituting the tree, age contributed the least to the classification power.

CONCLUSION

Using the machine learning, we visualized and validated a decision tool based on the GLIM criteria that can be conveniently used to accelerate the pretreatment identification of malnutrition in patients with cancer.

Prevalence of Insomnia in an Oncology Patient Population: An Irish Tertiary Referral Center Experience

BACKGROUND

The NCCN Guidelines for Survivorship recommend dedicated sleep assessment. Reported insomnia prevalence in the general Irish population is 6% to 15%. Reported insomnia prevalence internationally among new/recently diagnosed patients with cancer varies from 30.9% to 54.3%. Insomnia prevalence has not been previously quantified in an Irish oncology cohort.

METHODS

A 40-item questionnaire was prospectively administered to ambulatory patients with cancer aged ≥18 years. Prespecified criteria to define insomnia syndrome combined those of the International Classification of Sleep Disorders, version 1, and the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). The Hospital Anxiety and Depression Scale-Depression/Anxiety (HADS-D/A) was used to screen for potential confounding variables.

RESULTS

The response rate to the questionnaire was 87% (294/337). The predominant respondent age group was 55 to 64 years (26%; 77/294), 70.7% were female (208/294), and the most common cancer subtypes were breast (37.4%), colorectal (12.9%), and lung (12.2%). A total of 62% (183/294) of patients reported sleep disturbance after diagnosis, 63% (115/183) reported moderate/severe distress related to this disturbance, and 37% (61/183) reported a significant impact on physical function. Although 33% (98/294) met insomnia syndrome criteria, only 34% (33/98) of these patients had a preexisting history of sleep disturbance. Female sex, age <65 years, cancer subtype, alcohol consumption, and HADS-D/A ≥11 were associated with statistically significant higher odds ratios (OR) of insomnia syndrome. Multivariate analysis identified breast cancer (OR, 3.17; P=.01), age <65 years (OR, 1.8; P=.03), and alcohol consumption (OR, 2.3; P=.005) as independent predictors of insomnia syndrome.

CONCLUSIONS

Insomnia syndrome prevalence in this cohort is comparable to that reported previously and supports dedicated sleep assessment. This study identifies potentially modifiable risk factors for insomnia and demonstrates additional utility of the HADS score in identifying patients at risk.

Weight loss over time and survival: a landmark analysis of 1000+ prospectively treated and monitored lung cancer patients

BACKGROUND

Eligibility criteria and endpoints for cancer cachexia trials-and whether weight loss should be included-remain controversial. Although most cachexia trials enrol patients after initial cancer diagnosis, few studies have addressed whether weight loss well after a cancer diagnosis is prognostic.

METHODS

We pooled data from non-small cell lung cancer patients from prospectively conducted trials within the Alliance for Clinical Trials in Oncology (1998-2008), a nationally funded infrastructure. We examined (i) weight data availability and weight changes and (ii) survival.

RESULTS

A total of 822 patients were examined. Of these, 659 (80%) were on treatment at the beginning of Cycle 2 of chemotherapy; weight was available for 656 (80%). By Cycles 3 and 4, weight was available for 448 (55%) and 384 (47%), respectively. From baseline to immediately prior to Cycle 2, 208 (32%) gained weight; 225 (34%) lost <2% of baseline weight; and 223 (34% of 656) lost 2% or more. Median survival from the beginning of Cycle 2 was 13.0, 10.9, and 6.9 months for patients with weight gain, weight loss of <2%, and weight loss of 2% or more, respectively. In multivariate analyses, adjusted for age, sex, performance score, type of treatment, and body mass index, weight loss of 2% or more was associated with poor overall survival compared with weight gain [hazard ratio (HR) = 1.66; 95% confidence interval (CI): 1.33-2.07; P < 0.001] and compared with weight loss of <2% (HR = 1.57; 95% CI: 1.27-1.95; P < 0.001). Although weight loss of <2% was not associated with poorer overall survival compared with weight gain, it was associated with poorer progression-free survival (HR = 1.24; 95% CI: 1.01-1.51; P = 0.036). Similar findings were observed in a separate 255-patient validation cohort.

CONCLUSIONS

Weight should be integrated into cancer cachexia trials because of its ease of frequent measurement and sustained prognostic association.

Palliative care provision at a tertiary cancer center during a global pandemic

COVID-19 was first reported in Wuhan, China, in December 2019; it rapidly spread around the world and was declared a global pandemic by the World Health Organization in March 2020. The palliative care program at the Princess Margaret Cancer Centre, Toronto, Canada, provides comprehensive care to patients with advanced cancer and their families, through services including an acute palliative care unit, an inpatient consultation service, and an ambulatory palliative care clinic. In the face of a global pandemic, palliative care teams are uniquely placed to support patients with cancer who also have COVID-19. This may include managing severe symptoms such as dyspnea and agitation, as well as guiding advance care planning and goals of care conversations. In tandem, there is a need for palliative care teams to continue to provide care to patients with advanced cancer who are COVID-negative but who are at higher risk of infection and adverse outcomes related to COVID-19. This paper highlights the unique challenges faced by a palliative care team in terms of scaling up services in response to a global pandemic while simultaneously providing ongoing support to their patients with advanced cancer at a tertiary cancer center.

The patient-generated subjective global assessment is a promising screening tool for cancer cachexia

Background

Cancer cachexia is a complex metabolic syndrome characterised by a loss of muscle with or without loss of fat mass, and is associated with high morbidity and mortality. Despite its clinical importance, there is a lack of simple tools to screen patients for cancer cachexia. The aim of this study was to evaluate and validate the patient-generated subjective global assessment (PG-SGA) as a screening tool for cancer cachexia.

Methods

This is a secondary analysis of a multicentre, cross-sectional, observational study. Cancer cachexia was diagnosed when there was weight loss ≥5% during the past 12 months and at least three of the five following conditions were present: decreased muscle strength, fatigue, anorexia, low Fat-Free Mass Index (FFMI) and abnormal laboratory findings. A quadratic discriminant analysis was conducted for the ability of PG-SGA to predict cachexia.

Results

A total of 4231 patients with cancer were included in this analysis, and 351 patients (8.3%) were diagnosed as having cachexia. The highest incidence of cachexia was found among patients with pancreatic cancer (32.5%), oesophageal cancer (21.5%) and gastric cancer (17.9%). Compared with patients without cachexia, patients with cachexia had a lower body mass index, FFMI, hand grip strength, total protein, prealbumin, albumin, haemoglobin and Karnofsky performance status (p<0.05), while they had a higher C reactive protein level and PG-SGA Score (4.71±3.71 vs 10.87±4.84, p<0.05). The best cut-off value for PG-SGA was 6.5, with 79.8% of sensitivity and 72.3% specificity for cachexia, and the area under the receiver operating characteristic curve was 0.846 (95% CI 0.826 to 0.866, p<0.001).

Conclusions

PG-SGA is a highly specific tool that can be used to screen patients for cancer cachexia.

Prognostic Markers of Overall Survival in Cancer Patients Attending a Cachexia Support Service: An Evaluation of Clinically Assessed Physical Function, Malnutrition and Inflammatory Status

BACKGROUND

Cancer cachexia is a muscle-wasting syndrome that results in physical function impairments and decreased survival. While body weight and muscle mass loss predict survival, the prognostic significance of physical function in this population is unclear. Thus, we evaluated the association between physical function, and other routine measures, and overall survival (OS) in cancer patients attending a cachexia support service.

METHODS

Physical function was clinically-assessed using the 30 s sit-to-stand test and handgrip strength. Six-month weight loss, the Patient-Generated Subjective Global Assessment (PG-SGA) total score, C-reactive protein (CRP), albumin, and quality of life were also evaluated.

RESULTS

Records from 203 patients (age: 68.6 ± 11.6 years) were included. Handgrip strength did not predict OS. Sit-to-stand repetitions predicted OS in the single variable, but not the multivariable analysis. Multivariable results suggested higher PG-SGA total scores (HR: 1.04, 95% CI: 1.01-1.07), six-month weight loss (HR: 1.02, 95% CI: 1.004-1.04), and elevated CRP (HR: 1.004, 95% CI: 1.0004-1.01) predicted shorter OS. Higher albumin predicted longer OS (HR: 0.93, 95% CI: 0.90-0.97).

CONCLUSION

Six-month weight loss, the PG-SGA total score, CRP, and albumin independently predicted survival, while physical function did not. Functional impairments remain a hallmark of cancer cachexia and the benefit of their routine assessment warrants further exploration, especially in relation to patient quality of life.

Beyond Performance Status

Oncologists should recognise the need to move beyond the Eastern Cooperative Oncology Group Performance Status (ECOG PS) score. ECOG PS is a longstanding and ubiquitous feature of oncology. It was evolved 40 years ago as an adaption of the 70-year-old Karnofsky performance score. It is short, easily understood and part of the global language of oncology. The wide prevalence of the ECOG PS attests to its proven utility and worth to help triage patient treatment. The ECOG PS is problematic. It is a unidimensional functional score. It is mostly physician assessed, subjective and therefore open to bias. It fails to account for multimorbidity, frailty or cognition. Too often the PS is recorded only once in wilful ignorance of a patient's changing physical state. As modern oncology offers an ever-widening array of therapies that are ‘personalised’ to tumour genotype, modern oncologists must strive to better define patient phenotype. Using a wider range of scoring and assessment tools, oncologists can identify deficits that may be reversed or steps taken to mitigate detrimental effects of treatment. These tools can function well to identify those patients who would benefit from comprehensive assessment. This overview identifies the strengths of ECOG PS but highlights the weaknesses and where these are supported by other measures. A strong recommendation is made here to move to routine use of the Clinical Frailty Score to start to triage patients and most appropriately design treatments and rehabilitation interventions.

Eurythmy therapy versus slow movement fitness in the treatment of fatigue in metastatic breast cancer patients: study protocol for a randomized controlled trial

BACKGROUND

Cancer-related fatigue (CRF) is the most taxing symptom for many breast cancer patients during and after therapy. In patients with metastatic disease, the prevalence of CRF exceeds 75%. Currently, there is no gold standard for the treatment of CRF. Physical activity can reduce CRF and is recommended during and after cancer treatment, but may be too burdensome for patients with metastatic breast cancer. The aim of this study is to assess the effect on fatigue of eurythmy therapy (ERYT) compared to slow movement fitness (CoordiFit) in metastatic breast cancer patients.

METHODS

The ERYT/CoordiFit study is a randomized controlled, open-label, two-arm, multi-center Swiss clinical trial. A sample of 196 patients presenting with CRF will be recruited by oncologists from the departments of clinical oncology at each local study site. All participants will be randomly allocated to the intervention or control group in a 1:1 ratio. The control group is an active control intervention (CoordiFit) in order to control for potential non-intended effects such as therapist-patient interaction and participation in a program. Both ERYT and CoordiFit exercises are easy to learn, and the training sessions will follow the same frequency and duration schedule, i.e., 13 standardized therapy sessions of 45 min (once a week for 6 weeks and then once every second week) during the total intervention period of 20 weeks. The primary endpoint of the study is the change from baseline over the whole intervention period (i.e., including measurements at baseline, weeks 8, 14, and 20) in the Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-F) subscale score.

DISCUSSION

This study is the first-known randomized clinical trial assessing eurythmy therapy in the treatment of fatigue in metastatic breast cancer patients. Given the distress that fatigue causes patients, it is important to validate treatment options. If eurythmy therapy proves beneficial in CRF as part of this randomized controlled clinical trial, the study may be very impactful with implications not only for metastatic breast cancer patients but also for other cancer patients, health care personnel, scientists, and funding and regulatory bodies.

TRIAL REGISTRATION

The ERYT/CoordiFit trial was registered at the US National Institutes of Health (ClinicalTrials.gov) on July 18, 2019, #NCT04024267 , and in the portal for human research in Switzerland on December 3, 2019, #SNCTP000003525 .

Monitoring Response to Home Parenteral Nutrition in Adult Cancer Patients

Current guidelines recommend home parenteral nutrition (HPN) for cancer patients with chronic deficiencies of dietary intake or absorption when enteral nutrition is not adequate or feasible in suitable patients. HPN has been shown to slow down progressive weight loss and improve nutritional status, but limited information is available on the monitoring practice of cancer patients on HPN. Clinical management of these patients based only on nutritional status is incomplete. Moreover, some commonly used clinical parameters to monitor patients (weight loss, body weight, body mass index, and oral food intake) do not accurately reflect patient’s body composition, while bioelectrical impedance analysis (BIA) is a validated tool to properly assess nutritional status on a regular basis. Therefore, patient’s monitoring should rely on other affordable indicators such as Karnofsky Performance Status (KPS) and modified Glasgow Prognostic Score (mGPS) to also assess patient’s functional status and prognosis. Finally, catheter-related complications and quality of life represent crucial issues to be monitored over time. The purpose of this narrative review is to describe the role and relevance of monitoring cancer patients on HPN, regardless of whether they are receiving anticancer treatments. These practical tips may be clinically useful to better guide healthcare providers in the nutritional care of these patients.

Outpatient palliative medicine consultations: urgent or routine?

BACKGROUND

Although outpatient palliative care clinics (OPCCs) provide a venue for early, pre-emptive referral to palliative care on a routine basis, some patients will continue to require urgent referrals. The purpose of this study was to characterise these urgent referrals to determine whether they reflect clinical need or convenience.

METHODS

We retrospectively compared new patients in an OPCC who were seen urgently versus those seen at routine appointments. Descriptive statistics compared the two groups in terms of clinical characteristics, referring teams, symptoms, performance status and outcomes. Logistic regression was used to identify factors associated with urgent referral to the OPCC. Overall survival was compared using the log-rank test.

RESULTS

Between January 2016 and December 2017, a total of 113 urgent referrals were reviewed in the OPCC; these were compared with a random sample of 217 routine referrals. Patients seen urgently were more likely to be referred by surgical oncology, and to report worse symptom scores for pain (p=0.0007), tiredness (p=0.02), well-being (p=0.001), constipation (p=0.02) and sleep (p=0.01). More patients seen urgently required direct admission to hospital following the visit (17.7% vs 0.9%, p<0.001). Median survival was shorter for patients seen urgently (4.3 months, 95% CI 3.4 to 7.8) versus routinely (8.1 months, 95% CI 7.2 to 9.5).

CONCLUSIONS

Compared with routine referrals, new patients seen urgently in the OPCC had higher symptom burden, shorter median survival and a greater chance of direct admission to hospital. Palliative care clinics should consider how best to accommodate urgent referrals.

Cachexia in Cancer Patients: Systematic Literature Review

Introduction Cachexia in cancer patients, especially in advanced stage, is recently known as an emerging problem. Cachexia occurs in about half of all patients with neoplastic disease. The diagnosis of cachexia needs comprehensive evaluation of body weight and body composition for several months. Cachexia will give negative impacts such as increased mortality, chemotoxicity, and decreased quality of life. Here, we review the current evidence describing the definition, stages, mechanisms, diagnosis and treatment of cachexia in cancer patients.

Methods We identified 75 studies and/or review articles evaluating cachexia and weight loss in cancer patients by searching PubMed and EMBASE databases.

Results Cachexia is reported across all stages and types of cancers. The most recent definition of cachexia is reported in a 2011 paper by International Consensus. The mechanism of cachexia in cancer is complex and involved many factors which elaborate together to produce cachexia. The diagnostic evaluation and cut-off measurement of cachexia, especially in cancer varied across studies. The loss of weight that happens during chemotherapy will make a poor prognosis. Cachexia can worsen chemotherapy toxicity. Combination of dietary modification and exercise with supplementation of medication that control appetite and inflammation are important in the management of cachexia in cancer patients.

Conclusion Patients with cancer are the population at risk for developing cachexia before and after chemotherapy. Cachexia diagnosis needs evaluation of body weight and body composition. Nonpharmacological treatments, such as dietary modification and physical exercise, are the best strategy to reduce cachexia in cancer patients.

Association Between Sarcopenia and Mortality in Patients Undergoing Surgical Excision of Head and Neck Cancer

Importance

Sarcopenia, or the loss of muscle mass, is associated with poor treatment outcomes in a variety of surgical fields. However, the association between sarcopenia and long-term survival in a broad cohort of patients with head and neck cancer (HNC) is unknown.

Objective

To determine whether sarcopenia is associated with long-term survival in patients undergoing major head and neck surgery for HNC.

Design, Setting, and Participants

A retrospective medical records review was conducted at a tertiary care academic hospital. Two hundred sixty patients undergoing major head and neck ablative procedures with cross-sectional abdominal imaging performed within 45 days prior to surgery were included in the analysis. The study was conducted from January 1, 2005, to December 31, 2016. Data analysis was performed from June 1, 2018, to February 28, 2019.

Interventions

Measurement of cross-sectional muscle area at the L3 vertebra level.

Main Outcomes and Measures

Two- and 5-year overall survival were the primary outcomes.

Results

Of the 260 patients included in the study, 193 were men (74.2%); mean (SD) age was 61.1 (11) years. Sarcopenia was present in 144 patients (55.4%). Two-year overall survival was 71.9% of the patients (n = 82) in the sarcopenia group compared with 88.5% of the patients (n = 85) in the nonsarcopenia group (odds ratio [OR], 0.33; 95% CI, 0.16-0.70). At 5 years, overall survival was 36.5% in patients (n = 23) with sarcopenia and 60.5% in patients (n = 26) without sarcopenia (OR, 0.38; 95% CI, 0.17-0.84). On multivariate analysis, sarcopenia was a significant negative predictor of both 2-year (OR, 0.33; 95% CI, 0.14-0.77) and 5-year (OR, 0.38; 95% CI, 0.17-0.84) overall survival.

Conclusions and Relevance

Sarcopenia appears to be a significant negative predictor of long-term overall survival in patients with HNC undergoing major head and neck surgery. Sarcopenia may be accurately assessed on cross-sectional imaging and may be useful clinically as a prognostic variable and as an area for intervention to improve treatment outcomes.

Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models

BACKGROUND

Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation.

OBJECTIVE

In this study, we leveraged machine learning techniques to build a FN mortality risk evaluation tool focused on FN admissions without physicians' subjective evaluation.

METHODS

We used the National Inpatient Sample and Nationwide Inpatient Sample (NIS) that included mortality data among adult inpatients who were diagnosed with FN during a hospital admission. Machine learning techniques that we compared included linear models (ridge logistic regression and linear support vector machine) and non-linear models (gradient boosting tree and neural network). The primary outcome for this study was death among individuals with a recorded FN admission. Model comparison was evaluated based on areas under the receiver operating characteristic curve (AUROC) and model performance was estimated using 30 % test set created via stratified split.

RESULTS

Our analysis detected 126,013 adult admissions within the NIS data that were diagnosed with FN, among which 5,856 were declared as deceased (4.6 %). Our machine learning results demonstrate linear models and non-linear models achieved areas under the receiver operating characteristic (AUROC) around 92 % in survival prediction.

CONCLUSIONS

We developed machine learning models that do not require physicians' subjective evaluation for FN mortality risk prediction.

Development and Validation of a Prognostic Survival Model With Patient-Reported Outcomes for Patients With Cancer

IMPORTANCE

Existing prognostic cancer tools include biological and laboratory variables. However, patients often do not know this information, preventing them from using the tools and understanding their prognosis.

OBJECTIVE

To develop and validate a prognostic survival model for all cancer types that incorporates information on symptoms and performance status over time.

DESIGN, SETTING, AND PARTICIPANTS

This is a retrospective, population-based, prognostic study of data from patients diagnosed with cancer from January 1, 2008, to December 31, 2015, in Ontario, Canada. Patients were randomly selected for model derivation (60%) and validation (40%). The derivation cohort was used to develop a multivariable Cox proportional hazards regression model with baseline characteristics under a backward stepwise variable selection process to predict the risk of mortality as a function of time. Covariates included demographic characteristics, clinical information, symptoms and performance status, and health care use. Model performance was assessed on the validation cohort by C statistics and calibration plots. Data analysis was performed from February 6, 2018, to November 6, 2019.

MAIN OUTCOMES AND MEASURES

Time to death from diagnosis (year 0) recalculated at each of 4 annual survivor marks after diagnosis (up to year 4).

RESULTS

A total of 255 494 patients diagnosed with cancer were identified (135 699 [53.1%] female; median age, 65 years [interquartile range, 55-73 years]). The cohort decreased to 217 055, 184 822, 143 649, and 109 569 patients for each of the 4 years after diagnosis. In the derivation cohort year 0, and the most common cancers were breast (30 855 [20.1%]), lung (19 111 [12.5%]), and prostate (18 404 [12.0%]). A total of 47 614 (31.1%) had stage III or IV disease. The mean (SD) time to death in year 0 was 567 (715) days. After backward stepwise selection in year 0, the following factors were associated with increased risk of death by more than 10%: being hospitalized; having congestive heart failure, chronic obstructive pulmonary disease, or dementia; having moderate to high pain; having worse well-being; having functional status in the transitional or end-of-life phase; having any problems with appetite; receiving end-of-life home care; and living in a nursing home. Model discrimination was high for all models (C statistic: 0.902 [year 0], 0.912 [year 1], 0.912 [year 2], 0.909 [year 3], and 0.908 [year 4]).

CONCLUSIONS AND RELEVANCE

The model accurately predicted changing cancer survival risk over time using clinical, symptom, and performance status data and appears to have the potential to be a useful prognostic tool that can be completed by patients. This knowledge may support earlier integration of palliative care.

The Effects of Dosage-Controlled Cannabis Capsules on Cancer-Related Cachexia and Anorexia Syndrome in Advanced Cancer Patients: Pilot Study

Background: Cancer-related cachexia and anorexia syndrome (CACS) is a common phenomenon in cancer patients. Cannabis has been suggested to stimulate appetite but research on this issue has yielded mixed results. The current study aimed to evaluate the effect of dosage-controlled cannabis capsules on CACS in advanced cancer patients. Methods: The cannabis capsules used in this study contained two fractions of oil-based compounds. The planned treatment was 2 × 10 mg per 24 hours for six months of tetrahydrocannabinol (THC) 9.5 mg and cannabidiol (CBD) 0.5 mg. If patients suffered from side effects, dosage was reduced to 5 mg × 2 per day (THC 4.75 mg, CBD 0.25 mg). Participants were weighed on every physician visit. The primary objective of the study was a weight gain of ≥10% from baseline. Results: Of 24 patients who signed the consent form, 17 started the cannabis capsules treatment, but only 11 received the capsules for more than two weeks. Three of six patients who completed the study period met the primary end-point. The remaining three patients had stable weights. In quality of life quaternaries, patients reported less appetite loss after the cannabis treatment (p=0.05). Tumor necrosis factor-α (TNF-α) levels decreased after the cannabis treatment but without statistical significance. According to patients’ self-reports, improvement in appetite and mood as well as a reduction in pain and fatigue was demonstrated. Conclusions: Despite various limitations, this preliminary study demonstrated a weight increase of ≥10% in 3/17 (17.6%) patients with doses of 5mgx1 or 5mgx2 capsules daily, without significant side effects. The results justify a larger study with dosage-controlled cannabis capsules in CACS.

Prevalence of Malnutrition in Older Hospitalized Cancer Patients: A Multicenter and Multiregional Study

BACKGROUND

Malnutrition is frequent in older cancer patients, with a prevalence that ranges from 25% to 85%. The aging process is associated with several physiological changes, which may have implications for nutritional status. Screening tools can be useful for identifying malnutrition status among older patients with cancer.

METHODS

A hospital-based multicenter cohort study that included 44 institutions in Brazil. The Mini Nutritional Assessment-Short Form (MNA-SF) was administered to 3061 older hospitalized cancer patients within 48 hoursof admission. The Kolmogorov-Smirnov test was used to test the sample distribution, considering sex, age range, calf circumference, body mass index, and MNA-SF score and classification. The categorical data were expressed by frequencies (n) and percentages (%)and compared using the chi-square test or Tukey test.

RESULTS

According to the results of the MNA-SF, 33.4% of the patients were malnourished, 39.3% were at risk of malnutrition, and 27.3% were classified as having normal nutritional status. Length of hospital stay (in days) was found to be longer for those patients with a poorer nutritional status (malnourished: 7.07±7.58; at risk of malnutrition: 5.45±10.73; normal status: 3.9±5,84; p <0.001).

CONCLUSIONS

The prevalence of malnutrition and nutritional risk is high in older hospitalized cancer patients in all the regions of Brazil and a worse nutritional status is associated with a longer hospital stay. Using a low-cost, effective nutritional screening tool for older cancer patients will enable specialized nutritional interventions and avoid inequities in the quality of cancer care worldwide.

Inter-rater reliability in performance status assessment between clinicians and patients: a systematic review and meta-analysis

INTRODUCTION

Performance status is an essential consideration for clinical practice and for patient eligibility for clinical trials in oncology. Assessment of performance status is traditionally done by clinicians, but there is an increasing interest in patient-completed assessment. The aim of this systematic review and meta-analysis was to summarise inter-rater concordance between patient and clinician ratings of performance status.

METHODS

A search strategy was developed and executed in the databases of Ovid MEDLINE, Embase and Cochrane Central Register of Controlled Trials, from inception until 15 August 2019. Articles were eligible for inclusion if there was mention of both (1) use of performance status tool Karnofsky Performance Status (KPS) or Eastern Cooperative Oncology Group Performance Status (ECOG), and (2) assessment of performance status by both clinicians and patients. Pearson correlation coefficients were calculated for each study and were meta-analysed according to a random-effect analysis model. Analyses were conducted using Comprehensive Meta-Analysis (V.3) by Biostat.

RESULTS

Sixteen articles were included in our review, reporting on a cumulative sample size of 6619 patients. The quality of evidence was moderate, as determined by the GRADE tool.Concordance ranged from fair to moderate for both the KPS and ECOG tools. The Pearson correlation coefficient was 0.449 for KPS and 0.584 for ECOG.

CONCLUSIONS

There is fair to moderate concordance of patient and clinician performance status ratings. Future studies should examine the reasoning behind clinician and patient ratings to better understand discrepancies between ratings.

Dysphagia Prevalence and Predictors in Cancers Outside the Head, Neck, and Upper Gastrointestinal Tract

CONTEXT

Dysphagia is usually associated with malignancies of the head, neck, and upper gastrointestinal tract but also occurs in those with tumors outside anatomic swallow regions. It can lead to aspiration pneumonia, malnutrition, reduced quality of life, and psychosocial distress. No studies have yet reliably described dysphagia prevalence in those with malignancies outside anatomic swallow regions.

OBJECTIVE

The objective of this study was to establish the prevalence and predictors of dysphagia in adults with solid malignancies outside the head, neck, and upper gastrointestinal tract.

METHODS

A cross-sectional, observational study using consecutive sampling was conducted. There were 385 participants (mean age 66 ± 12 years) with 21 different primary cancer sites from two acute hospitals and one hospice. Locoregional disease was present in 33%, metastatic in 67%. Dysphagia was screened by empirical questionnaire and confirmed through swallow evaluation. Demographic and clinical predictors were determined by univariate and multivariate binary regression.

RESULTS

Dysphagia occurred in 19% of those with malignancies outside anatomic swallow regions. Prevalence was 30% in palliative care and 32% in hospice care. Dysphagia was most strongly associated with cough, nausea, and worse performance status. It was also associated with lower quality of life and nutritional difficulties.

CONCLUSION

Dysphagia was common and usually undiagnosed before study participation. It occurred at all disease stages but coincided with functional decline. It may therefore represent a cancer frailty marker. Oncology and palliative care services should routinely screen for this symptom. Timely dysphagia identification and management may improve patient well-being and prevent adverse effects like aspiration pneumonia and weight loss.