scholarly journals Identifying classes of the pain, fatigue, and depression symptom cluster in long-term prostate cancer survivors—results from the multi-regional Prostate Cancer Survivorship Study in Switzerland (PROCAS)

Author(s):  
Salome Adam ◽  
Melissa S. Y. Thong ◽  
Eva Martin-Diener ◽  
Bertrand Camey ◽  
Céline Egger Hayoz ◽  
...  

Abstract Purpose Aside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL). Methods Six hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis. Results Three classes were identified: class 1 (61.4%) – “low pain, low physical and emotional fatigue, moderate depressive symptoms”; class 2 (15.1%) – “low physical fatigue and pain, moderate emotional fatigue, high depressive symptoms”; class 3 (23.5%) – high scores for all symptoms. Survivors in classes 2 and 3 were more likely to be physically inactive, report a history of depression or some other specific comorbidity, be treated with radiation therapy, and have worse HRQoL outcomes compared to class 1. Conclusion Three distinct classes of the pain, fatigue, and depression cluster were identified, which are associated with treatment, comorbidities, lifestyle factors, and HRQoL outcomes. Improving classification of PC survivors according to severity of multiple symptoms could assist in developing interventions tailored to survivors’ needs.

2015 ◽  
Vol 33 (9) ◽  
pp. 1078-1085 ◽  
Author(s):  
Matthew J. Resnick ◽  
Christina Lacchetti ◽  
Jonathan Bergman ◽  
Ralph J. Hauke ◽  
Karen E. Hoffman ◽  
...  

Purpose The guideline aims to optimize health and quality of life for the post-treatment prostate cancer survivor by comprehensively addressing components of follow-up care, including health promotion, prostate cancer surveillance, screening for new cancers, long-term and late functional effects of the disease and its treatment, psychosocial issues, and coordination of care between the survivor's primary care physician and prostate cancer specialist. Methods The American Cancer Society (ACS) Prostate Cancer Survivorship Care Guidelines were reviewed for developmental rigor by methodologists. The American Society of Clinical Oncology (ASCO) Endorsement Panel reviewed the content and recommendations, offering modifications and/or qualifying statements when deemed necessary. Results The ASCO Endorsement Panel determined that the recommendations from the 2014 ACS Prostate Cancer Survivorship Care Guidelines are clear, thorough, and relevant, despite the limited availability of high-quality evidence to support many of the recommendations. ASCO endorses the ACS Prostate Cancer Survivorship Care Guidelines, with a number of qualifying statements and modifications. Recommendations Assess information needs related to prostate cancer, prostate cancer treatment, adverse effects, and other health concerns and provide or refer survivors to appropriate resources. Measure prostate-specific antigen (PSA) level every 6 to 12 months for the first 5 years and then annually, considering more frequent evaluation in men at high risk for recurrence and in candidates for salvage therapy. Refer survivors with elevated or increasing PSA levels back to their primary treating physician for evaluation and management. Adhere to ACS guidelines for the early detection of cancer. Assess and manage physical and psychosocial effects of prostate cancer and its treatment. Annually assess for the presence of long-term or late effects of prostate cancer and its treatment.


2015 ◽  
Vol 28 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Jane McCusker ◽  
Martin G. Cole ◽  
Philippe Voyer ◽  
Johanne Monette ◽  
Nathalie Champoux ◽  
...  

ABSTRACTBackground:Depression is a common problem in long-term care (LTC) settings. We sought to characterize depression symptom trajectories over six months among older residents, and to identify resident characteristics at baseline that predict symptom trajectory.Methods:This study was a secondary analysis of data from a six-month prospective, observational, and multi-site study. Severity of depressive symptoms was assessed with the 15-item Geriatric Depression Scale (GDS) at baseline and with up to six monthly follow-up assessments. Participants were 130 residents with a Mini-Mental State Examination score of 15 or more at baseline and of at least two of the six monthly follow-up assessments. Individual resident GDS trajectories were grouped using hierarchical clustering. The baseline predictors of a more severe trajectory were identified using the Proportional Odds Model.Results:Three clusters of depression symptom trajectory were found that described “lower,” “intermediate,” and “higher” levels of depressive symptoms over time (mean GDS scores for three clusters at baseline were 2.2, 4.9, and 9.0 respectively). The GDS scores in all groups were generally stable over time. Baseline predictors of a more severe trajectory were as follows: Initial GDS score of 7 or more, female sex, LTC residence for less than 12 months, and corrected visual impairment.Conclusions:The six-month course of depressive symptoms in LTC is generally stable. Most residents who experience a more severe symptom trajectory can be identified at baseline.


Author(s):  
Min Kyung Song ◽  
Ju Young Yoon ◽  
Eunjoo Kim

The purpose of this study was to investigate the trajectory of depressive symptoms in multicultural adolescents using longitudinal data, and to identify predictive factors related to depressive symptoms of multicultural adolescents using latent class analysis. We used six time-point data derived from the 2012 to 2017 Multicultural Adolescents Panel Study (MAPS). Latent growth curve modeling was used to assess the overall features of depressive symptom trajectories in multicultural adolescents, and latent class growth modeling was used to determine the number and shape of trajectories. We applied multinomial logistic regression analysis to each class to explore predictive factors. We found that the overall slope of depressive symptoms in multicultural adolescents increased. Latent class analysis demonstrated three classes: (1) high-increasing class (i.e., high intercept, significantly increasing slope), (2) moderate-increasing class (i.e., moderate intercept, significantly increasing slope), and (3) low-stable class (i.e., low intercept, no significant slope). In particular, we found that the difference in the initial intercept of depressive symptoms determined the subsequent trajectory. There is a need for early screening for depressive symptoms in multicultural adolescents and preparing individual mental health care plans.


2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 679-679
Author(s):  
Tarik Sammour ◽  
Songphol Malakorn ◽  
George J. Chang ◽  
Miguel A. Rodriguez-Bigas ◽  
Brian Bednarski ◽  
...  

679 Background: Multiple treatment modalities are utilized for patients with recurrent rectal cancer (RRC). While recurrent pelvic tumor can be highly symptomatic, treatments often carry significant morbidity risks. Patient reported outcomes such as quality of life (QoL) and pain can supplement traditional clinical endpoints in assessing the effectiveness of salvage treatments, and thus aid in treatment decision making. We aimed to examine the longitudinal trajectory of cancer survivorship in RRC. Methods: A prospective protocol enrolled patients diagnosed with RRC between 2008 and 2015. Participants prospectively self-reported QoL (measured by the validated EORTC QLQ-C30 and EORTC QLQ-CR29) and pain (measured by the Brief Pain Inventory, BPI), at presentation, and then every 6 months for 5 years. After accounting for repeated measures, trajectory of mean scores over time was assessed for patients amenable to surgical salvage vs those who were not, using linear mixed-effects modeling. Results: A total of 104 patients were enrolled of which 73 (70.2%) were amenable to salvage surgery with curative intent. Surgical salvage was associated with 30 day morbidity of 68.5% (13.7% and 5.5%, Grade 3 and 4 respectively). Three year overall survival was 56.7% (68.5% in surgical and 29.0% in non-surgical patients). Mean baseline QoL scores did not differ between surgical vs nonsurgical patients but were significantly impacted by the anatomical site of recurrent disease (lowest scores in posterior pelvic recurrence; P=0.012). On longitudinal analysis with a median followup of 33 months, surgically salvaged patients showed gradual sustained improvement in QoL but not pain scores. Anatomy of initial recurrence had an ongoing impact on QoL long term with posterior recurrences having the worst scores. Both QoL and pain scores worsened in patients not amendable to surgical salvage. Conclusions: Disease anatomy determines QoL at baseline and long term in patients with RRC. Surgery improves QoL but not pain in selected resectable cases.


2021 ◽  
Author(s):  
Xueying Yang ◽  
Chengbo Zeng ◽  
Cheuk Chi Tam ◽  
Shan Qiao ◽  
Xiaoming Li ◽  
...  

Background: The healthcare system in China was largely overwhelmed during the unprecedented pandemic of coronavirus disease (COVID-19). HIV-related services have been unavoidably interrupted and impacted. However, the nature and scope of HIV service interruptions due to COVID-19 has rarely been characterized in China and how HIV service challenges affect the service interruptions are also unclear. The current study aimed at characterize HIV service interruption levels and analyzed its associated factors related to service challenges and institutional response from HIV healthcare providers' viewpoint. Methods: A cross-sectional online survey was conducted among 1,029 HIV healthcare providers in Guangxi, China, from April to May 2020. Latent class analysis (LCA) was first used to identify HIV service interruption levels. Then hierarchical multinomial logistic regression was conducted to analyze the relationships of HIV care service challenges and institutional response with HIV service interruption levels. Simple slope analysis was employed to examine interaction effects between HIV service challenges and institutional response to COVID-19. Results: Four classes of HIV service interruption were identified using LCA, with 22.0% complete interruption (class 1), 15.4% moderate interruption (class 2), 21.9% minor interruption (class 3) and 40.7% almost no interruption (class 4). Using class 4 as a reference group, HIV care service challenges were positively associated with the probabilities of service interruptions (Class 1: AOR=1.23, 95%CI: 1.19~1.26; Class 2: AOR= 1.10, 95%CI: 1.08~1.13; Class 3: AOR= 1.10, 95%CI: 1.08~1.12). Institutional response to HIV healthcare delivery was negatively associated with the probabilities of being classified into Class 1 ("Complete interruption") (AOR=0.97, 95%CI: 0.93~1.00) and Class 3 ("minor interruption [Outreach service]") (AOR=0.96, 95%CI: 0.93~0.99) as compared to Class 4 ("almost no interruption"). Institutional response to HIV healthcare delivery moderated the association of HIV service challenges with complete interruption, but not with the moderate or minor interruption when comparing with no interruption group. Conclusions: A substantial HIV service interruptions occurs due to the COVID-19 pandemic, particularly services that require face-to-face interactions, such as VCT counselling, follow up and outreach services. HIV service challenges largely hinder the HIV service delivery. Institutional response to HIV healthcare delivery could marginally buffer the negative effect of service challenges on complete HIV service interruptions. To maintain continuity of core HIV services in face of a pandemic, build a resilient health care system with adequate preparedness is necessary.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dilorom Sass ◽  
Leorey Saligan ◽  
Wendy Fitzgerald ◽  
Ann M. Berger ◽  
Isaias Torres ◽  
...  

AbstractPsychoneurological symptom clusters are co-occurring and interrelated physiological symptoms that may include cancer-related fatigue, pain, depressive symptoms, cognitive disturbances, and sleep disturbances. These symptoms are hypothesized to share a common systemic proinflammatory etiology. Thus, an investigation of systemic immune biomarkers is an important approach to test this hypothesis. Here, we investigated the associations between extracellular vesicle (EV)-associated and soluble cytokines with immune markers and symptom clusters in men with non-metastatic prostate cancer. This observational study included 40 men with non-metastatic prostate cancer at the start (T1) of external beam radiation therapy (EBRT) and 3 months post treatment (T2), as well as 20 men with non-metastatic prostate cancer on active surveillance (AS) seen at one time point. Collected questionnaires assessed patient-reported fatigue, sleep disturbances, depressive symptoms, and cognitive fatigue. In total, 45 soluble and EV-associated biomarkers in plasma were determined by multiplex assays. Principal component analysis (PCA) was used to identify psychoneurological symptom clusters for each study group and their time points. Bivariate correlation analysis was run for each identified PCA cluster with the concentrations of EV-associated and soluble cytokines and immune markers. Both EV-associated and soluble forms of RANTES significantly correlated with the symptom cluster for EBRT at T1, whereas, at T2, soluble IFNα2, IL-9, and IL-17 correlated with the corresponding symptom cluster. For the AS group, soluble survivin correlated with psychoneurological symptoms. Linking specific inflammatory cytokines with psychoneurological symptom clusters in men receiving prostate cancer treatment can enhance understanding of the underlying mechanisms of this phenomenon and aid in developing targeted interventions.


2018 ◽  
Vol 45 (6) ◽  
pp. 997-1007 ◽  
Author(s):  
Stephanie L. Fitzpatrick ◽  
Lawrence J. Appel ◽  
Bethany Bray ◽  
Neon Brooks ◽  
Victor J. Stevens

Background. We have demonstrated previously that patterns of behavioral adherence in the first 6 months of behavioral lifestyle interventions were associated with significant weight loss at 18 months. In this article, we extend this work to examine patterns of behavioral adherence over 18 months and to explore baseline demographic and psychosocial predictors. Method. Latent class analysis was applied separately to the Weight Loss Maintenance and PREMIER trials data to examine patterns of adherence to the following recommendations: (1) consuming ≥9 servings of fruits and vegetables per day, (2) ≤25% of energy from total fat, (3) ≤7% energy from saturated fat, and (4) ≥180 minutes of moderate-to-vigorous physical activity per week. Multinomial logistic regression was used to test demographic and psychosocial predictors of latent class membership. Results. Four distinct subgroups with common patterns of behavioral adherence were identified in each trial including, Behavioral Maintainers, who maintained adherence to all behavioral recommendations for 1 year, Nonresponders, who did not adhere to the recommendations at any time point, and latent classes that reflected patterns of adherence to one or two behaviors or behavioral relapse. A significantly higher proportion of Behavioral Maintainers sustained ≥5% weight loss for 1 year compared with Nonresponders. Participants with higher vitality scores at baseline were more likely to belong to a latent class with long-term adherence to one or more recommendations than the Nonresponders class. Conclusions. Regular assessment of health behaviors and psychosocial measures such as vitality may help identify nonresponders and inform treatment tailoring to improve long-term behavioral and weight outcomes.


2012 ◽  
Vol 215 (3) ◽  
pp. S143 ◽  
Author(s):  
Sanchia Shanika Goonewardene ◽  
Mary Symons ◽  
Gary McCormack ◽  
Adel Makar

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A201-A201
Author(s):  
V Castronovo ◽  
M Sforza ◽  
A Galbiati ◽  
M Salsone ◽  
S Marelli ◽  
...  

Abstract Introduction Cognitive-Behavioral Therapy for Insomnia (CBT-I) is the first-line treatment for Insomnia disorder (ID). We aimed to identify ID patients’ subtypes based on clinical features and their response to CBT-I. Methods 294 chronic insomnia patients (61.6% female, mean age 40.7 ± 12.3 yrs) underwent 7-sessions group CBT-I. By use of latent class analysis (LCA) we identified insomnia disorder subtypes according to baseline (BL) evaluation of non-sleep indices and the response to CBT-I (Delta score of Insomnia Severity Index ISI between BL and end-of-treatment (ET). Moreover, we assessed ISI in 123 out of 294 insomnia patients (82 females (66.7%), mean age 40.59 ± 11.89 years) who completed a follow-up evaluation (FU) within a range of 4-10 years. Results We chose 3 latent classes as most parsimonious model. We identified Class 1 (insomnia+anxiety+depression+stress) (n=62), Class 2 (insomnia+anxiety+depression) (n=153) and Class 3 (only-insomnia) (n=79). The effect of CBT-I was maintained up to 10 years after the ET in the three classes but with significant difference between classes (p<0.05). At the ET, the largest percentage of responders (ISI decrease ≥ 8) was found in Class 1 (63.5%). Results of overall CBT-I effectiveness: in Class 3, 98.6% had subthreshold insomnia (ISI score=0-14) at the ET, and 97.2% at the FU; in Class 2, 89.0% at the ET, and 78.2% at the FU; in Class 1, 80.7% at ET and 51.8% at the FU. Conclusion Our analysis identified three different subtypes of insomniacs on the basis of clinical outcomes. The presence of anxiety and depression did not diminish the effect of CBT-I both short and long term. However, ID patients characterized by the presence of stress (Class 1) were the best responders at the ET but this was not maintained at the FU evaluation. We can speculate that stress could be considered a risk factor that plays an important role in the long-term outcome of CBT-I. Support No


Author(s):  
Rachel Pruchno ◽  
Maureen Wilson-Genderson ◽  
Allison Heid ◽  
Francine Cartwright

Abstract Objectives To examine depressive symptom trajectories as a function of time and exposure to Hurricane Sandy, accounting for the effects of the Great Recession. Methods We analyzed 6 waves of data from a 12-year panel using latent class growth models and multinomial logistic regression. Results We identified 4 groups of people experiencing different trajectories of depressive symptoms. The groups differed on baseline characteristics (gender, age, education, income, race), history of diagnosed depression, and initial level of depressive symptoms. The group with the highest levels of depressive symptoms reported greater levels of peri-traumatic stress exposure to Hurricane Sandy. Discussion Depressive symptoms increased as a function of the Great Recession, but exposure to Hurricane Sandy was not associated with subsequent increases in depressive symptoms for any of the 4 groups. People who consistently experienced high levels of depressive symptoms over time reported the highest levels of peri-traumatic stress during Hurricane Sandy. Findings highlight the importance of accounting for historical trends when studying the effects of disaster, identify people likely to be at risk during a disaster, and provide novel information about the causal relationship between exposure to disaster and depressive symptoms.


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