Nutritional Status and Adverse Outcomes in Older Depressed Inpatients: A Prospective Study

Toward a holistic understanding of cancer cachexia: Application of the human response to illness model

Cachexia is a commonly presenting multidimensional syndrome in individuals living with advanced cancer. Given its prevalence of between 50% and 80%, nurses are going to encounter individuals manifesting ongoing loss of skeletal muscle mass (with or without loss of fat mass) that can be partially but not entirely reversed by conventional nutritional support. Thus nurses require a comprehensive understanding of this complex clinical problem. Research suggests, however, that nurses receive minimal education about cachexia or its management. Limited understanding undermines the ability to confidently care for patients with cachexia and their families, thereby hampering effective practice. The human response to illness model provides nurses with an organizing framework to guide and make sense of their assessments in clinical practice when caring for patients with cancer cachexia and provides direction for appropriate intervention. This article illustrates the integration of the human response to illness model to clinical practice, thereby assisting nurses to develop a comprehensive understanding of the physiological, pathophysiological, behavioral, and experiential facets of cachexia in advanced cancer patients. Contemporary areas of further interest and research will be presented.

Association of nutritional status and comorbidity with long-term survival among community-dwelling older males

BACKGROUND

Estimates of survival in the older can be of benefit in various facets, particularly in medical and individual decision-making. We aim to validate the value of a combination of nutrition status evaluation and comorbidity assessment in predicting long-term survival among community-dwelling older.

METHODS

The Charlson Comorbidity Index (CCI) was applied for comprehensive evaluation of comorbidities. Participants were classified into CCI score ≤ 2 and ≥ 3 subgroups. Nutritional status was assessed by using Mini Nutritional Assessment-Short Form (MNA-SF) and Geriatric Nutritional Risk Index (GNRI) evaluations. Mortality rates and survival curves over a 5-year period were compared among subgroups classified by CCI and/or MNA-SF/GNRI evaluations.

RESULTS

A total of 1033 elderly male participants were enrolled in this study, with an average age of 79.44 ± 8.61 years. 108 deceased participants (10.5%) were identified during a follow-up of 5 years. Cox proportional hazards regression analysis showed that age, CCI, MNA-SF and GNRI were independent predictors of 5-year all-cause death in this cohort. Compared to those with normal nutrition status and CCI ≤ 2, the subgroup at risk of malnutrition and CCI ≥ 3 had a significantly higher 5-year all-cause mortality rate (HR = 4.671; 95% CI:2.613-8.351 for MNA-SF and HR = 7.268; 95% CI:3.401-15.530 for GNRI; P < 0.001 for both). Receiver operating characteristic curve analysis demonstrated that a combination of either MNA-SF or GNRI with CCI had significantly better performance than CCI, MNA-SF or GNRI alone in predicting all-cause death.

CONCLUSION

The combination of nutritional assessment (MNA-SF or GNRI) with CCI can significantly improve the predictive accuracy of long-term mortality outcomes among community-dwelling older males.

Factors related to malnutrition and their association with frailty in community-dwelling older adults registered at a geriatric clinic

BACKGROUND

We hypothesized that factors related to malnutrition, namely low muscle mass, appetite loss, and adiposity, are associated with frailty and pre-frailty in community-dwelling older adults.

AIMS

To identify the prevalence of frailty and pre-frailty in a Brazilian convenience sample and test the association between these conditions and malnutrition-related factors.

METHODS

This is a cross-sectional analysis of an ongoing community project. We studied 106 older adults (≥60 years old). Frailty (dependent variable) was screened using the FRAIL-BR scale. The independent variables were appetite loss (AL), screened from the SNAQ questionnaire; sarcopenia risk, investigated by SARC-F; body adiposity, estimated by the body mass index (BMI); visceral adiposity, estimated by waist circumference (WC) and the combination of these two indicators. The associations were investigated using multinomial logistic regression models.

MAIN RESULTS

We found, from our sample, 30.2 % pre-frail and 31.1 % frail participants. The frail and pre-frail were older than the non-frail; the frail ones presented a higher proportion of sarcopenia risk and a higher proportion of AL. From the multiple regression models, frailty conditions showed significant association with the AL (OR = 0.68; p = 0.012 and OR = 0.64; p = 0.009 for pre-frail and frail, respectively) and with sarcopenia risk (OR = 3.24; p = 0.001 and OR = 5.34; p < 0.011 for pre-frail and frail respectively). The adiposity indicated by waist circumference, and age, remained in the final model only as adjusting variables but without statistical significance.

CONCLUSIONS

in our convenience sample of older adults, frailty and pre-frailty showed significant association with appetite loss and sarcopenia risk, but not with adiposity indicators. Future studies are needed to better understand our findings.