The prevalence of vasomotor and psychological symptoms in prostate cancer patients receiving hormonal therapy: Results from a single-institution experience.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 283-283
Author(s):  
Amarnath Challapalli ◽  
Waqar Saleem ◽  
Ernese Gjafa ◽  
Marc Laniado ◽  
Bente Stanbridge ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Hormonal Therapy ◽  
Sleep Disturbances ◽  
Psychological Symptoms ◽  
Therapeutic Modality ◽  
Severe Toxicity ◽  
Breast Cancer Patients ◽  
Long Term Effects ◽  
Short Term

283 Background: Hormonal therapy is an important therapeutic modality in both early and metastatic prostate cancer. Whilst the long term effects of androgen deprivation (AD) have been extensively studied, little attention has focussed on assessing short-term vasomotor and psychological effects and the resulting impact of quality of life (QoL) in prostate cancer, relying on data mainly extrapolated from breast cancer patients. This prospective study sought to assess these effects and identify any predictive factors. Methods: Data from 200 consecutive prostate cancer patients were collected from January 2010 to August 2013. A self-reported questionnaire was employed to objectively assess a variety of vasomotor and psychological symptoms, graded from 1 no toxicity, 2 mild, 3 moderate to 4 severe toxicity. Other parameters including height, weight, Body Surface Area (BSA), Body Mass Index (BMI), duration and type of hormonal therapy were also recorded. Results: 181 patients were fully evaluable, with a median age of 75 (IQR 70.5-80). 166 received an LHRH analogue,11 maximum androgen blockade, and 4 received anti-androgens only. 33 (18.2%) of patients reported no toxicity, with 76 (42%), 55 (30%) and 17 (9.4%) experiencing mild, moderate and severe (debilitating) symptoms respectively. The commonest debilitating symptoms were vasomotor: drenching sweats (82%), and hot flashes (82%), which usually coexisted, and less commonly psychological: sleep disturbances (18%) and tiredness (12%). Age (median: 77 vs. 74 yrs), weight (median: 79.8 vs. 84.4), and BMI (median: 26.6 vs. 28.3) significantly predicted between those with grade 1/2 and grade 3/4 symptoms, (p=0.0007, 0.02, 0.02). A non-significant trend was observed with increasing duration of hormonal treatment and toxicity (median: 5, 7, 9.5 and 12 months for Grade 1-4, respectively, p=0.07). Conclusions: The short term side-effect profile of hormonal therapy for prostate cancer is generally favourable, though debilitating predominantly vasomotor symptoms can occur in a significant minority of cases. Increasing age, weight, and BMI may be predictive of toxicity.

scholarly journals Sleep Quality among Breast and Prostate Cancer Patients: A Comparison between Subjective and Objective Measurements

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 785
Author(s):  
Diana Barsasella ◽  
Shabbir Syed-Abdul ◽  
Shwetambara Malwade ◽  
Terry B. J. Kuo ◽  
Ming-Jen Chien ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Sleep Quality ◽  
Cancer Patients ◽  
Sleep Disturbances ◽  
Breast Cancer Patients ◽  
Subjective Data ◽  
Personalized Care ◽  
Subjective Measurements ◽  
Breast And Prostate Cancer ◽  
Study Participants

Breast and prostate cancer patients may experience physical and psychological distress, and a possible decrease in sleep quality. Subjective and objective methods measure different aspects of sleep quality. Our study attempted to determine differences between objective and subjective measurements of sleep quality using bivariate and Pearson’s correlation data analysis. Forty breast (n = 20) and prostate (n = 20) cancer patients were recruited in this observational study. Participants were given an actigraphy device (ACT) and asked to continuously wear it for seven consecutive days, for objective data collection. Following this period, they filled out the Pittsburgh Sleep Quality Index Questionnaire (PSQI) to collect subjective data on sleep quality. The correlation results showed that, for breast cancer patients, PSQI sleep duration was moderately correlated with ACT total sleeping time (TST) (r = −0.534, p < 0.05), and PSQI daytime dysfunction was related to ACT efficiency (r = 0.521, p < 0.05). For prostate cancer patients, PSQI sleep disturbances were related to ACT TST (r = 0.626, p < 0.05). Both objective and subjective measurements are important in validating and determining details of sleep quality, with combined results being more insightful, and can also help in personalized care to further improve quality of life among cancer patients.

scholarly journals Increased Hospitalization and Mortality from COVID-19 in Prostate Cancer Patients

Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1630
Author(s):  
Dimple Chakravarty ◽  
Parita Ratnani ◽  
Stanislaw Sobotka ◽  
Dara Lundon ◽  
Peter Wiklund ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Mortality Rates ◽  
Mount Sinai Hospital ◽  
Solid Cancer ◽  
Continuous Variables ◽  
Breast Cancer Patients ◽  
Chi Square ◽  
Hospital System ◽  
Tumor Types

Background: Cancer patients with COVID-19 have a poor disease course. Among tumor types, prostate cancer and COVID-19 share several risk factors, and the interaction of prostate cancer and COVID-19 is purported to have an adverse outcome. Methods: This was a single-institution retrospective study on 286,609 patients who underwent the COVID-19 test at Mount Sinai Hospital system from March 2020 to December 2020. Chi-square/Fisher’s exact tests were used to summarize baseline characteristics of categorical data, and Mann–Whitney U test was used for continuous variables. Univariable logistic regression analysis to compare the hospitalization and mortality rates and the strength of association was obtained by the odds ratio and confidence interval. Results: This study aimed to compare hospitalization and mortality rates between men with COVID-19 and prostate cancer and those who were COVID-19-positive with non-prostate genitourinary malignancy or any solid cancer, and with breast cancer patients. We also compared our studies to others that reported the incidence and severity of COVID-19 in prostate cancer patients. Our studies highlight that patients with prostate cancer had higher susceptibility to COVID-19-related pathogenesis, resulting in higher mortality and hospitalization rates. Hospitalization and mortality rates were higher in prostate cancer patients with COVID-19 when compared with COVID-19 patients with non-prostate genitourinary (GU) malignancies.

scholarly journals Lesion-Based Bone Metastasis Detection in Chest Bone Scintigraphy Images of Prostate Cancer Patients Using Pre-Train, Negative Mining, and Deep Learning

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 518
Author(s):  
Da-Chuan Cheng ◽  
Te-Chun Hsieh ◽  
Kuo-Yang Yen ◽  
Chia-Hung Kao
Keyword(s):  
Breast Cancer ◽  
Prostate Cancer ◽  
Deep Learning ◽  
Bone Metastasis ◽  
Cancer Patients ◽  
Bone Scintigraphy ◽  
Breast Cancer Patients ◽  
Location Detection ◽  
The Mean ◽  
Mean Sensitivity

This study aimed to explore efficient ways to diagnose bone metastasis early using bone scintigraphy images through negative mining, pre-training, the convolutional neural network, and deep learning. We studied 205 prostate cancer patients and 371 breast cancer patients and used bone scintigraphy data from breast cancer patients to pre-train a YOLO v4 with a false-positive reduction strategy. With the pre-trained model, transferred learning was applied to prostate cancer patients to build a model to detect and identify metastasis locations using bone scintigraphy. Ten-fold cross validation was conducted. The mean sensitivity and precision rates for bone metastasis location detection and classification (lesion-based) in the chests of prostate patients were 0.72 ± 0.04 and 0.90 ± 0.04, respectively. The mean sensitivity and specificity rates for bone metastasis classification (patient-based) in the chests of prostate patients were 0.94 ± 0.09 and 0.92 ± 0.09, respectively. The developed system has the potential to provide pre-diagnostic reports to aid in physicians’ final decisions.

Sign in / Sign up

Export Citation Format

Share Document