Associated factors with constipation and health-related quality of life in lung cancer patients with platinum-based chemotherapy: A cross-sectional study

Non-pharmacological interventions for chemotherapy-induced diarrhoea and constipation management: A scoping review

PURPOSE

Chemotherapy-induced diarrhoea (CID) and constipation (CIC) are among the most common and severe gastrointestinal symptoms related to chemotherapy. This review aimed to identify and describe the evidence for non-pharmacological interventions for the management of CID and CIC.

METHODS

The scoping review was based on the Joanna Briggs Institute methodology and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Evidence from five databases were included: CINAHL, MEDLINE, Embase, PubMed, and APA PsycInfo. Data were systematically identified, screened, extracted and synthesised narratively to describe the evidence for non-pharmacological interventions and their effects on CID and CIC.

RESULTS

We included 33 studies, of which 18 investigated non-pharmacological interventions for CID management, six for CIC management, and nine for both CID and CIC management. Interventions were categorized into five groups, including (1) digital health interventions, (2) physical therapies, (3) diet and nutrition therapies, (4) education, and (5) multimodal. Diet and nutrition therapies were the most common to report potential effectiveness for CID and CIC outcomes. Most of the interventions were implemented in hospitals under the supervision of healthcare professionals and were investigated in randomised control trials.

CONCLUSIONS

The characteristics of non-pharmacological interventions were diverse, and the outcomes were inconsistent among the same type of interventions. Diet and nutritional interventions show promise but further research is needed to better understand their role and to contribute to the evidence base. Nurses are well placed to assess and monitor for CIC and CID, and also deliver effective non-pharmacological interventions.

Antitumoral Agent-Induced Constipation: A Systematic Review

BACKGROUND

Constipation is a common symptom in patients receiving antitumoral treatment. The mechanisms underlying antitumoral agent-induced constipation (ATAIC) are poorly defined. This systematic review aimed to analyze and synthesize the available information related to the prevalence, etiology, and treatment of ATAIC.

METHODS

A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines was conducted. The review included human studies written in English, French, or Spanish involving patients with cancer and containing information about the prevalence, etiology, and treatment of ATAIC.

RESULTS

A total of 73 articles were included. The reported prevalence ranged from 0.8% to 86.6%. Six studies reported an ATAIC prevalence of over 50%. The prevalence rates of constipation of grades 3 and 4 ranged between 0 and 11%. The importance of enteric neuronal integrity in gastrointestinal function was reported. The articles with the highest levels of evidence in relation to ATAIC treatment obtained in this systematic review studied treatments with acupuncture, sweet potato, osteopath, probiotics, and moxibustion.

CONCLUSIONS

The prevalence of constipation in patients undergoing antitumoral treatment is very diverse. Studies specifically designed to report the prevalence of antineoplastic treatment-induced constipation are needed. The importance of enteric neuronal integrity in gastrointestinal function was described. Thus, neuroprotection could be an area of research for the treatment of chemotherapy-induced gastrointestinal disorders.

Developing a visual model for predicting depression in patients with lung cancer

AIMS AND OBJECTIVES

To investigate and analyse the prevalence of depression among patients with lung cancer, identify risk factors of depression, and develop a visual, non-invasive, and straightforward clinical prediction model that can be used to predict the risk probability of depression in patients with lung cancer quantitatively.

BACKGROUND

Depression is one of the common concomitant symptoms of patients with lung cancer, which can increase the risk of suicide. However, the current assessment tools cannot combine multiple risk factors to predict the risk probability of depression in patients.

DESIGN

A cross-sectional study.

METHODS

The clinical data from 297 patients with lung cancer in China were collected and analysed in this cross-sectional study. The clinical prediction model was constructed according to the results of the Chi-square test and the logistic regression analysis, evaluated by discrimination, calibration, and decision curve analysis, and visualised by a nomogram. This study was reported using the TRIPOD checklist.

RESULTS

130 patients with lung cancer had depressive symptoms with a prevalence of 43.77%. A visual prediction model was constructed based on age, disease duration, exercise, stigma, and resilience. This model showed good discrimination at an AUC of 0.842. Calibration curve analysis indicated a good agreement between experimental and predicted values, and the decision curve analysis showed a high clinical utility.

CONCLUSIONS

The visual prediction model developed in this study has excellent performance, which can accurately predict the occurrence of depression in patients with lung cancer at an early stage and assist the medical staff in taking targeted preventative measures.

RELEVANCE TO CLINICAL PRACTICE

The visual, non-invasive, and simple nomogram can help clinical medical staff to calculate the risk probability of depression among patients with lung cancer, formulate personalised preventive care measures for high-risk groups as soon as possible, and improve the quality of life of patients.

Relationship between Fatigue and Self-Perception of Constipation in Community-Dwelling Older Adults during the COVID-19 Pandemic

Fatigue and constipation are common symptoms among community-dwelling older adults; however, no studies have explored the relationship between both symptoms in said group. Therefore, this study aimed to examine the relationship between fatigue and self-perception of constipation in community-dwelling older adults during the COVID-19 pandemic. A cross-sectional survey was conducted among 97 older people (response rate: 73.2%) between July and November 2021. Backward−forward stepwise linear regression was performed to identify possible predictors of fatigue among the explanatory variable (self-perception of constipation) and possible confounders, which included (a) age, (b) motor fitness scale, (c) economic satisfaction, (d) subjective memory impairment, (e) subjective health, (f) depression, (g) living alone or not, (h) sex, and (i) frequency of exercise. The intercept of the fatigue score was 42.48 points (95% CI = 32.40 to 49.99, p < 0.001). The results showed that the fatigue score in community-dwelling older adults who had self-perception of constipation was significantly lower (i.e., they had higher fatigue; B = −4.49, 95% CI = −6.58 to −2.40, p < 0.001) compared to those who did not have self-perception of constipation. Therefore, there is a need to develop self-management strategies that older people can use to improve the self-perception of constipation.