<p>Self-reported sleep quality as prognostic for survival in lung cancer patients</p>

In order to explore the influence of intelligent imaging diagnosis systems on comprehensive nursing intervention for patients with late-stage lung cancer, the system uses ITK and VTK toolkit to realize image reading, display, image marking, and interactive functions. The optimal threshold method and regional connectivity algorithm were used to segment the lung region, and then, the cavity filling algorithm and repair algorithm were used to repair the lung region. A variable ring filter was used to detect suspected shadows in the lungs. Finally, the classifier proposed in this paper is used to classify benign and malignant. The system has good sensitivity by detecting the images of real patients. 100 patients with advanced lung cancer were randomly divided into control group and nursing intervention group 50 cases each. Patients in the control group received routine radiotherapy and chemotherapy and routine nursing intervention. Patients in the nursing intervention group were given comprehensive nursing intervention on the basis of routine intervention in the control group for 2 consecutive months. Pittsburgh sleep quality index, pain degree, quality of life, and complications after intervention were compared between the 2 groups before and after intervention. The experimental results showed that the sleep quality, pain degree, quality of life, and complications in 2 groups were significantly improved after intervention ( P < 0.05 ), and the improvement degree in the nursing intervention group was higher than that in the control group ( P < 0.05 ). It is proved that comprehensive nursing intervention has a good effect on improving sleep quality, relieving physical pain, improving the quality of life, and reducing complications of lung cancer patients and can effectively improve the quality of life of lung cancer patients.

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Comparison of Sleep Quality before and after Chemotherapy in Locally Advanced Nonsmall Cell Lung Cancer Patients: A Prospective Study

Sleep Disorders ◽

10.1155/2020/8235238 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

N. Belloumi ◽

S. Maalej Bellaj ◽

I. Bachouche ◽

F. Chermiti Ben Abdallah ◽

S. Fenniche

Keyword(s):

Lung Cancer ◽

Sleep Quality ◽

Cancer Patients ◽

Cell Lung Cancer ◽

Sleep Disturbances ◽

Locally Advanced ◽

Nonsmall Cell Lung Cancer ◽

Poor Sleep ◽

Lung Cancer Patients ◽

Before And After

Background. Preservation of sleep quality is a modifiable and treatable factor, which may enhance the patient’s adherence to other supportive and palliative care procedures. The outcome of sleep disturbances in lung cancer patients before and after treatment aren’t reported. The aim of this study was to investigate changes in sleep quality before and after chemotherapy in locally advanced or metastatic NSCLC patients. Methods. It was a prospective study including 64 patients with stage III or IV nonsmall-cell lung cancer. Patients answered the Tunisian dialectal version of the following questionnaires: PSQI and QLQ-C30 in order to evaluate, respectively, the sleep quality and the quality of life. The assessments took place before chemotherapy and then repeated after the chemotherapy course was over. Results. The mean age was 62.9 years. All patients were active smokers. Before chemotherapy, there were 10 patients (15%) with poor sleep quality. The most frequent complaints were daytime sleepiness (70%) and nocturnal arousals (100%). After chemotherapy, the mean PSQI score increased from 2.9 to 5.4, and 45% of all patients had poor sleep quality. Most frequent complaints were the extension of sleep latency (69%), daytime sleepiness (98%), and nocturnal arousals (100%). Predicting factors of sleep disturbance according to statistical univariate analysis were delayed diagnosis confirmation (p=0.05), delayed treatment onset (p<10−3), depressive mood (p=0.001), and anxious mood (p=0.001). Multivariate analysis had shown a significant and independent correlation between sleep quality and shortened diagnosis and treatment delays. Sociodemographic parameters, clinical parameters, and factors related to treatment procedure had no correlation with sleep quality. Conclusions. Our study demonstrates the persistence and potential intensity worsening of sleep disturbances in advanced stage nonsmall-cell lung cancer patients. We, hereby, reported a statistical correlation between sleep quality and quality of life in our patients.

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Auricular acupressure for cancer-related fatigue during lung cancer chemotherapy: a randomised trial

BMJ Supportive & Palliative Care ◽

10.1136/bmjspcare-2019-001937 ◽

2019 ◽

pp. bmjspcare-2019-001937 ◽

Cited By ~ 1

Author(s):

Lu Lin ◽

Yan Zhang ◽

Hong Ying Qian ◽

Jia Li Xu ◽

Cong Yan Xie ◽

...

Keyword(s):

Lung Cancer ◽

Sleep Quality ◽

Cancer Patients ◽

Magnetic Beads ◽

Physical Fatigue ◽

Lung Cancer Patients ◽

Cancer Related Fatigue ◽

Auricular Acupressure ◽

Group A ◽

Group B

PurposeTo evaluate the effect of auricular acupressure (AA) on cancer-related fatigue (CRF), sleep disturbance and anxiety in lung cancer patients undergoing chemotherapy.Materials and methodsPatients were recruited from the respiratory department of a general hospital and were randomised into three groups. A 9-week course of AA using Semen Vaccariae (SV) (Group A)/AA using magnetic beads (Group B)/routine care (Group C) was implemented. CRF scores were used as the primary outcome while the sleep and anxiety scores were the secondary outcomes. Analysis of variance and least significant difference t-test were used to determine the intergroup differences and paired-sample t-test was used for the intragroup comparison.Results100 lung cancer patients undergoing chemotherapy were included. Compared with Group C, AA could significantly alleviate CRF (F:24.63, p<0.01), especially for physical and affective fatigue and Group A was more effective for managing physical fatigue than Group B in per-protocol (PP) (−1.75 (−2.69 to –0.82), p<0.01)/Intention to Treat analysis (ITT) (−1.41 (−2.39 to –0.41), p=0.01) analysis. However, AA had no effect on cognitive fatigue. Compared with Group C, only Group A produced significant improvements in sleep quality in PP analysis (−1.17 (−2.23 to –0.10), p=0.03) while it yielded negative results in ITT analysis (−0.82 (−1.74 to 0.10), p=0.08). Compared with Group C, AA could significantly reduce anxiety in PP analysis (F:9.35, p<0.01) while there was no statistical difference between Group B and Group C (−0.95 (−2.81 to 0.90), p=0.31), Group A and Group B (−1.26 (−3.12 to 0.59), p=0.18) in ITT analysis.ConclusionAA can alleviate CRF of lung cancer patients undergoing chemotherapy, especially for physical and affective fatigue. AA using SV is more effective for physical fatigue while AA using magnetic beads works better for anxiety. However, AA cannot improve the sleep quality.Trial registration numberISRCTNregistry (ISRCTN16408424).

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Relationship of subjective and objective sleep measures with physical performance in advanced-stage lung cancer patients

Scientific Reports ◽

10.1038/s41598-021-96481-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Naomi Takemura ◽

Denise Shuk Ting Cheung ◽

Daniel Yee Tak Fong ◽

Anne Wing Mui Lee ◽

Tai-Chung Lam ◽

...

Keyword(s):

Lung Cancer ◽

Sleep Quality ◽

Physical Function ◽

Cancer Patients ◽

Physical Performance ◽

Advanced Lung Cancer ◽

Stand Test ◽

Lung Cancer Patients ◽

Sit To Stand ◽

Multiple Covariates

AbstractAdvanced lung cancer patients suffer from deteriorated physical function, which negatively impacts physical and psychological health. As little is known about sleep and physical function in this population, this study aimed to examine the association between subjective and objective sleep parameters and physical function among them. 164 advanced lung cancer patients were included. Objective sleep was measured by actigraphy (measured on non-dominant wrist for 72 h), and subjective sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Performance-based physical function was measured by Timed Up and Go Test (TUGT), 6-Minute Walk Test (6MWT), Sit-to-Stand Test, and One-leg Standing Test. Univariable and multivariable regression analyses were employed to examine the association between sleep and physical function. Total sleep time (TST) was significantly associated with the 6MWT (β = 0.259; 95% CI 0.120, 0.398; P < 0.001), TUGT (β = − 0.012; 95% CI = − 0.017, − 0.008; P < 0.001) and Sit-to-Stand Test (β = 0.027; 95% CI = 0.018, 0.035; P < 0.001) after adjustment for multiple covariates. PSQI global score was only significantly associated with TUGT (β = 0.140; 95% CI = 0.000, 0.280; P = 0.050) after adjustment for multiple covariates. Shorter sleep duration significantly predicted poorer physical performance in advanced lung cancer patients, and more attention is required for those with less than 4.3 h of sleep on average.Trial registration: ClinicalTrials.gov, NCT03482323. Registered 29 March 2018, https://clinicaltrials.gov/ct2/show/NCT03482323; ClinicalTrials.gov, NCT04119778. Registered 8 October 2019, https://clinicaltrials.gov/ct2/show/NCT04119778.

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Lung Cancer and Self-Management Interventions: A Systematic Review of Randomised Controlled Trials

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph19010536 ◽

2022 ◽

Vol 19 (1) ◽

pp. 536

Author(s):

Rachel Anne Rowntree ◽

Hassan Hosseinzadeh

Keyword(s):

Lung Cancer ◽

Sleep Quality ◽

Cancer Patients ◽

Randomised Controlled Trials ◽

Self Management ◽

Controlled Trials ◽

Lung Cancer Patients ◽

Home Based ◽

Randomised Controlled ◽

Anxiety Depression

Background: Lung cancer is the most common cancer worldwide. Evidence suggests self-management (SM) interventions benefit cancer patients. This review aims to determine the effectiveness of SM interventions for lung cancer patients. Method: Searches occurred in PubMed, Cinahl, ProQuest, Psych Info, Scopus, and Medline, using predefined criteria, assessing randomised controlled trials (RCTs). Results: Five hundred and eighty-seven studies were yielded, 10 RCTs met criteria. Of the total patient pool, 1001 of 1089 had Non-Small Cell Lung Cancer (NSCLC). Six studies tested home-based SM exercise, two studies SM education, and one each for diary utilisation and symptom reporting. Fatigue was the most targeted function. Other functions targeted included exercise capacity, anxiety, depression, quality of life (QoL), sleep quality, and symptom burden. Six studies met their primary endpoints (five SM exercise, one SM education). Positive outcomes are described for fatigue, anxiety/depression, sleep quality, self-efficacy, and exercise capacity. With exception to fatigue, early-stage NSCLC, younger age, female, never smokers, partnered patients experienced increased treatment effect. Conclusions: SM interventions improve outcomes among some lung cancer patients. Interventions targeting fatigue yield benefit despite histology, stage or gender and could encourage broader cohort engagement. Consideration of patient characteristics may predict SM effect. Effectiveness of home-based SM exercise by NSCLC stage and SM tailored to sociodemographic variables requires further research.

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