Trajectories of cognitive symptoms and associated factors in cancer survivors after return to work: an 18-month longitudinal cohort study

Longitudinal trajectories of frailty and cognitive decline among older Korean cancer survivors

This study aimed to identify frailty trajectories among older adults diagnosed with cancer, as well as the impacts of frailty trajectories on cognitive decline at an eight-year follow-up. We used longitudinal data from the Korean Longitudinal Study of Aging. A total of 173 older Korean cancer survivors were included in our analysis. Frailty and cognitive function were assessed using the multi-domain frailty index and the Korean version of the mini mental state examination, respectively. Latent class growth modeling and multivariate logistic regression were employed. Two distinct frailty trajectories were identified: "low and stable" (75.1%) and "moderate and increasing" (24.9%). Older cancer survivors in the "moderate and increasing" frailty group were 4.89 times more likely to experience cognitive decline at the eight-year follow-up than their counterparts in the "low and stable" frailty group. Periodic evaluation and timely management of frailty could contribute to preventing cognitive decline among older cancer survivors.

Associations of three differential white blood cell counts, platelet counts, and their derived inflammatory indices with cancer-related fatigue in patients with breast cancer undergoing chemotherapy

PURPOSE

Inflammation is thought to be a vital element in the etiology of cancer-related fatigue (CRF), and circulating blood cell parameters could be important markers of inflammatory response. However, the associations of several major blood cell counts and their derived inflammatory indices with CRF are not well described. The present study aimed to establish whether a relationship exists between the counts of three white blood cell (WBC) types, platelets, and CRF and investigate whether several systemic inflammatory indices were associated with CRF in patients with breast cancer (BC).

METHODS

A cross-sectional survey was conducted with a sample of 824 patients with BC undergoing chemotherapy. The cancer fatigue scale was administered to assess CRF. Hematological indicators, including neutrophils, lymphocytes, monocytes, and platelets, were retrieved from routine blood test. Network analyses were used to examine the associations among them.

RESULTS

Among 824 participants, the mean score of CRF was (27 ± 10), ranging from 0 to 57. The results of network models indicated that physical fatigue was negatively linked to lymphocyte counts (weight =  - 0.161), and affective fatigue was positively associated with neutrophil counts (weight = 0.070). Additionally, physical fatigue was positively linked to the platelet-to-lymphocyte ratio (PLR) (weight = 0.049).

CONCLUSION

There were preliminary associations of counts of three WBC types, platelet counts, and systemic inflammatory indices, with distinct dimensions of CRF in patients with BC. Findings provide empirical support for the cellular basis of fatigue-associated inflammatory states.

Return to work and psychosocial trajectories after breast cancer: a longitudinal and sequential approach

PURPOSE

We aimed to describe the psychosocial adjustments according to return to work (RTW) trajectories in breast cancer survivors (BCS) using a sequential and temporal approach.

METHODS

We used BCS data included from February 2015 to April 2016 in the Longitudinal Study on Behavioural, Economic and Sociological Changes after Cancer (ELCCA) cohort. RTW trajectories were identified using the sequence analysis method followed by a clustering. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale and the EORTC quality of life questionnaire was used at inclusion and all follow-up visits to assess Health-Related Quality of Life (HRQoL).

RESULTS

Fifty-two BCS were included in the study among whom four clusters of RTW trajectories were identified and labeled: slow RTW (N = 10), quick RTW (N = 27), partial RTW (N = 8), and part-time work (N = 7). Quick and slow RTW clusters showed slightly lower baseline mean levels of anxiety and higher levels of HRQoL. In the 4 years following diagnosis, BCS in the quick RTW cluster tended to report higher HRQoL in terms of functioning and less symptoms of pain and fatigue while those in the partial RTW cluster showed a lower HRQoL on almost all dimensions. All clusters showed an increase in pain and fatigue symptoms until 6 months followed by a tendency to recover baseline levels.

CONCLUSIONS

The results of this study suggest that BCS who return to full-time work (slow and quick RTW patterns) recover better than patients who return to part-time work (partial and part-time RTW patterns).

Symptom Clusters in Survivorship and Their Impact on Ability to Work among Cancer Survivors

BACKGROUND

Cancer survivors often experience a range of symptoms after treatment which can impact their quality of life. Symptoms may cluster or co-occur. We aimed to investigate how symptoms and symptom clusters impact the ability to work among cancer survivors.

METHODS

We used symptom severity data and ability to work data routinely collected from cancer survivors attending a survivorship clinic after primary treatment with curative intent. We defined symptom clusters using single linkage and a threshold on the rescaled distances of <10. We then conducted a logistic regression to examine how symptoms and symptom clusters were related to the ability to work.

RESULTS

We analysed data from 561 cancer survivors, mean age 58 years and 1.5 years post diagnosis, with mixed diagnoses including breast (40.5%), colorectal (32.3%), and haematological cancers (15.3%). Limitations to work ability were reported by 34.9% of participants. Survivors experiencing pain, emotional, and cognitive symptom clusters were 14-17% more likely to report limitations in their ability to work. Older survivors and those with a higher stage disease were more likely to report limitations in their ability to work.

CONCLUSION

A better understanding and management of symptom severity and symptom clusters may help the sizable proportion of cancer survivors experiencing symptoms to participate in work after treatment.

Construction of a predictive model for cognitive impairment risk in patients with advanced cancer

AIMS

The purpose of this study was to identify risk factors for cognitive impairment in advanced cancer patients and to develop predictive models based on these risk factors.

BACKGROUND

Cancer-related cognitive impairment seriously affects the quality of life of advanced cancer patients. However, neural network models of cognitive impairment in patients with advanced cancer have not yet been identified.

DESIGN

A cross-sectional design was used.

METHODS

This study collected 494 questionnaires between January and June 2022. Statistically significant clinical indicators were selected by univariate analysis, and the artificial neural network model and logistic regression model were used for multivariate analysis. The predicted value of the model was estimated using the area under the subject's working characteristic curve.

RESULT

The artificial neural network and the logistic regression models suggested that cancer course, anxiety and age were the major risk factors for cognitive impairment in advanced cancer patients. All the indexes of artificial neural network model constructed in this study are better than those of the logistic model.

CONCLUSION

The artificial neural network model can better predict the risk factors of cognitive impairment in patients with advanced cancer. Better prediction will enable nurses and other healthcare professionals to provide better targeted and timely support.

Factors associated with perceived cognitive impairment in patients with advanced lung cancer: a cross-sectional analysis

PURPOSE

Perceived cognitive impairment refers to cognitive dysfunction that particularly involves impairment in working or short-term memory, and inattention. This study aimed to identify factors associated with perceived cognitive impairment in patients with advanced lung cancer.

METHODS

This cross-sectional analysis used pooled data from a prospective, ongoing randomized controlled trial examining the effectiveness of exercise in patients with advanced lung cancer (Trial Registration: NCT04119778). Patients diagnosed with stage IIIB or IV non-small cell lung cancer were recruited from three public hospitals in Hong Kong between December 2018 and December 2021. Demographics, daily step count, sleep quality, fatigue, depression, anxiety, and perceived cognitive impairment were included in the analyses. Multivariate logistic regression analysis was used to determine the most critical risk factors associated with perceived cognitive impairments in attention and memory.

RESULTS

A total of 226 patients were included and analyzed, 35.4% of patients had perceived attention impairment and 58.4% had perceived memory impairment. The daily step count (adjusted odds ratio [aOR] = 0.496; confidence interval [CI] = 0.258-0.954), fatigue (aOR = 1.342; CI = 1.903-1.648), and anxiety (aOR = 1.179; CI = 1.042-1.335) were associated with a significantly increased risk of perceived attention impairment, while anxiety (aOR = 1.126; CI = 1.008-1.257) was identified as the most significant factor for perceived memory impairment.

CONCLUSION

The findings of this study can inform the design of effective interventions to reduce perceived cognitive impairment and promote the quality of life and well-being of patients with advanced lung cancer.