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BMC Psychiatry Aug 2023Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the prediction and identification of...
BACKGROUND
Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the prediction and identification of risk factors for depression are still severely limited. This study used a deep learning algorithm to identify depression in veterans and its factors associated with clinical manifestations.
METHODS
Our data originated from the National Health and Nutrition Examination Survey (2005-2018). A dataset of 2,546 veterans was identified using deep learning and five traditional machine learning algorithms with 10-fold cross-validation. Model performance was assessed by examining the area under the subject operating characteristic curve (AUC), accuracy, recall, specificity, precision, and F1 score.
RESULTS
Deep learning had the highest AUC (0.891, 95%CI 0.869-0.914) and specificity (0.906) in identifying depression in veterans. Further study on depression among veterans of different ages showed that the AUC values for deep learning were 0.929 (95%CI 0.904-0.955) in the middle-aged group and 0.924(95%CI 0.900-0.948) in the older age group. In addition to general health conditions, sleep difficulties, memory impairment, work incapacity, income, BMI, and chronic diseases, factors such as vitamins E and C, and palmitic acid were also identified as important influencing factors.
CONCLUSIONS
Compared with traditional machine learning methods, deep learning algorithms achieved optimal performance, making it conducive for identifying depression and its risk factors among veterans.
Topics: Middle Aged; Humans; Aged; Deep Learning; Depression; Nutrition Surveys; Veterans; Algorithms
PubMed: 37612646
DOI: 10.1186/s12888-023-05109-9 -
Radiation Oncology (London, England) Aug 2023Hypothyroidism (HT) and subclinical HT after radiotherapy is frequent in nasopharyngeal carcinoma (NPC) patients, results in negative impact on patients' quality of... (Randomized Controlled Trial)
Randomized Controlled Trial
Thyroid V40 is a good predictor for subclinical hypothyroidism in patients with nasopharyngeal carcinoma after intensity modulated radiation therapy: a randomized clinical trial.
BACKGROUND
Hypothyroidism (HT) and subclinical HT after radiotherapy is frequent in nasopharyngeal carcinoma (NPC) patients, results in negative impact on patients' quality of life. The percentage of thyroid volume receiving more than 40 Gy (V40) ≤ 85% was reported to be a useful dose constraint to adopt during intensity-modulated radiation therapy (IMRT) planning. This study aims to verify whether V40 ≤ 85% can be used as an effective dose constraint in IMRT planning in a randomized clinical trial.
METHODS
This single-center 1:1 randomized clinical trial was conducted in Fujian province hospital between March 2018 and September 2022. All patients were treated with IMRT and randomized to induction chemo followed by concurrent chemo-IMRT or concurrent chemo-IMRT alone. Ninety-two clinically NPC patients were included in this study. The thyroid function tests were performed for all patients before and after radiation at regular intervals. Thyroid dose-constraint was defined as V40 ≤ 85%. The primary outcome in this study was subclinical HT.
RESULTS
Median follow up was 34 months. Significant difference in the incidence of subclinical HT between the thyroid dose-constraint group and unrestricted group was observed (P = 0.023). The risk of subclinical HT in the thyroid dose-constraint group was lower than that in the unrestricted group (P = 0.022). Univariate and multivariate cox regression analysis indicated that thyroid dose-constraint was a protective effect of subclinical HT (HR = 0.408, 95% CI 0.184-0.904; HR = 0.361, 95% CI 0.155-0.841).
CONCLUSION
V40 ≤ 85% can be used as an effective dose constraint in IMRT planning to prevent radiation-induced subclinical HT.
Topics: Humans; Nasopharyngeal Carcinoma; Quality of Life; Radiotherapy, Intensity-Modulated; Hypothyroidism; Nasopharyngeal Neoplasms
PubMed: 37626342
DOI: 10.1186/s13014-023-02329-x -
Scientific Reports Mar 2023The study aimed to determine the resilience of multi-ethnic, multi-cultural adolescent students in cosmopolitan Singapore, their coping abilities, and the impact on...
The study aimed to determine the resilience of multi-ethnic, multi-cultural adolescent students in cosmopolitan Singapore, their coping abilities, and the impact on their social and physical activities during the COVID-19 pandemic and its association with their resilience. A total of 582 adolescents in post-secondary education institutes completed an online survey from June to November 2021. The survey assessed their sociodemographic status, resilience level using the Brief Resilience Scale (BRS) and Hardy-Gill Resilience Scale (HGRS), the impact of the COVID-19 pandemic on their daily activities, life settings, social life, social interactions, and coping ability in these aspects of life. Poor ability to cope with school life (adjusted beta = - 0.163, 95% CI - 1.928 to 0.639, p < 0.001), staying home (adjusted beta = - 0.108, 95% CI = - 1.611 to - 0.126, p = 0.022), sports (adjusted beta = - 0.116, 95% CI - 1.691 to - 0.197, p = 0.013) and friends (adjusted beta = - 0.143, 95% CI - 1.904 to - 0.363, p = 0.004) were associated with statistically significant low resilience level measured with HGRS. About half and a third of the participants reported normal and low resilience, respectively, based on BRS (59.6%/32.7%) and HGRS (49.0%/29.0%) scores. Adolescents of Chinese ethnicity and low socioeconomic status had comparatively lower resilience scores. Approximately half of the adolescents in this study had normal resilience despite the COVID-19 pandemic. Adolescents with lower resilience tended to have lower coping abilities. The study did not compare changes in the social life and coping behaviour of the adolescents due to COVID-19, as data on these aspects prior to the pandemic was unavailable.
Topics: Humans; Adolescent; COVID-19; Pandemics; Income; Low Socioeconomic Status; Adaptation, Psychological
PubMed: 36906711
DOI: 10.1038/s41598-023-31147-0 -
Medical Physics May 2023Chemosensitivity prediction in colorectal cancer patients with liver metastases has remained a research hotspot. Radiomics can extract features from patient imaging, and...
BACKGROUND
Chemosensitivity prediction in colorectal cancer patients with liver metastases has remained a research hotspot. Radiomics can extract features from patient imaging, and deep learning or machine learning can be used to build models to predict patient outcomes prior to chemotherapy.
PURPOSE
In this study, the radiomics features and clinical data of colorectal cancer patients with liver metastases were used to predict their sensitivity to irinotecan-based chemotherapy.
METHODS
A total of 116 patients with unresectable colorectal cancer liver metastases who received first-line irinotecan-based chemotherapy from January 2015 to January 2020 in our institution were retrospectively collected. Overall, 116 liver metastases were randomly divided into training (n = 81) and validation (n = 35) cohorts in a 7:3 ratio. The effect of chemotherapy was determined based on Response Evaluation Criteria in Solid Tumors. The lesions were divided into response and nonresponse groups. Regions of interest (ROIs) were manually segmented, and sample sizes of 1×1×1, 3×3×3, 5×5×5 mm were used to extract radiomics features. The relevant features were identified through Pearson correlation analysis and the MRMR algorithm, and the clinical data were merged into the artificial neural network. Finally, the p-model was obtained after repeated learning and testing.
RESULTS
The p-model could distinguish responders in the training (area under the curve [AUC] 0.754, 95% CI 0.650-0.858) and validation cohorts (AUC 0.752 95% CI 0.581-0.904). AUC values of the pure image group model are 0.720 (95% CI 0.609-0.827) and 0.684 (95% CI 0.529-0.890) for the training and validation cohorts respectively. As for the clinical data model, AUC values of the training and validation cohorts are 0.638 (95% CI 0.500-0.757) and 0.545 (95% CI 0.360-0.785), respectively. The performances of the latter two are less than that of the former.
CONCLUSION
The p-model has the potential to discriminate colorectal cancer patients sensitive to chemotherapy. This model holds promise as a noninvasive tool to predict the response of colorectal liver metastases to chemotherapy, allowing for personalized treatment planning.
Topics: Humans; Irinotecan; Retrospective Studies; Colorectal Neoplasms; Liver Neoplasms; Tomography, X-Ray Computed
PubMed: 36841949
DOI: 10.1002/mp.16325 -
Anticancer Research Nov 2023Current NPC treatment methods have improved the 5-year survival rates of patients; however, some patients do not benefit from the treatments. Therefore, the existing...
BACKGROUND/AIM
Current NPC treatment methods have improved the 5-year survival rates of patients; however, some patients do not benefit from the treatments. Therefore, the existing treatment methods or new drugs must be developed to improve the patient's prognosis. NAD (P)H:quinone oxidoreductase 1 (NQO1), an electron reductase highly expressed in various cancers, can convert aziridinyl-substituted quinone-derived compound into an alkylating agent, resulting in cell apoptosis. Therefore, a di-aziridinyl-substituted quinone-derived compound, AZ-1, was designed previously. The present study investigated whether AZ-1 has anticancer activities in NPC cells and explored the underlying mechanism.
MATERIALS AND METHODS
NPC-TW01 cells were used in the study, and 3-(4,5-dimethylthiazol- 2-yl)-2,5-diphenyltetrazolium bromide, colony formation, terminal deoxynucleotidyl transferase dUTP nick end labeling, and immunoblotting assays were performed to assess the cell viability, cell survival, DNA fragmentation, and protein expression, respectively.
RESULTS
The results show that AZ-1 significantly inhibited the viability and survival of NPC-TW01 cells. AZ-1 also induced the expression of cleaved PARP, cleaved caspase-8, cleaved caspase-9, and cleaved caspase-3, and triggered DNA fragmentation in NPC-TW01 cells. In addition, AZ-1 induced γH2AX expression, a DNA damage marker, in NPC-TW01 cells. Treatment with dicoumarol, an NQO1 activity inhibitor, not only reversed AZ-1-induced cell viability inhibition but also decreased AZ-1-induced expression of γH2AX, cleaved caspase-8, cleaved caspase-9, and cleaved caspase-3.
CONCLUSION
NQO1 reverses AZ-1-triggered cell viability inhibition, DNA damage, and apoptosis. The findings of this study may provide a basis for the possible clinical application of AZ-1 in the treatment of NPC to improve the prognosis of patients with NPC.
Topics: Humans; Caspase 3; Caspase 8; Caspase 9; NAD; Nasopharyngeal Carcinoma; Nasopharyngeal Neoplasms; Quinones; NAD(P)H Dehydrogenase (Quinone)
PubMed: 37910001
DOI: 10.21873/anticanres.16685 -
PloS One 2015Senescence is a terminal growth arrest that functions as a tumor suppressor in aging and precancerous cells and is a response to selected anticancer compounds....
PURPOSE
Senescence is a terminal growth arrest that functions as a tumor suppressor in aging and precancerous cells and is a response to selected anticancer compounds. Lysosomal-β-galactosidase (GLB1) hydrolyzes β-galactose from glycoconjugates and is the origin of senescence-associated β-gal activity (SA-β-gal). Using a new GLB1 antibody, senescence biology was investigated in prostate cancer (PCa) tissues.
EXPERIMENTAL DESIGN
In vitro characterization of GLB1 was determined in primary prostate epithelial cell cultures passaged to replicative senescence and in therapy-induced senescence in PCa lines using chemotherapeutic agents. FFPE tissue microarrays were subjected to immunofluorescent staining for GLB1, Ki67 and HP1γ and automated quantitative imaging initially using AQUA in exploratory samples and Vectra in a validation series.
RESULTS
GLB1 expression accumulates in replicative and induced senescence and correlates with senescent morphology and P16 (CDKN2) expression. In tissue arrays, quantitative imaging detects increased GLB1 expression in high-grade prostatic intraepithelial neoplasia (HGPIN), known to contain senescent cells, and cancer compared to benign prostate tissues (p<0.01) and senescent cells contain low Ki67 and elevated HP1γ. Within primary tumors, elevated GLB1 associates with lower T stage (p=0.01), localized versus metastatic disease (p=0.0003) and improved PSA-free survival (p=0.03). Increased GLB1 stratifies better PSA-free survival in intermediate grade PCa (0.01). Tissues that elaborate higher GLB1 display increased uniformity of expression.
CONCLUSION
Increased GLB1 is a valuable marker in formalin-fixed paraffin-embedded (FFPE) tissues for the senescence-like phenotype and associates with improved cancer outcomes. This protein addresses a lack of senescence markers and should be applicable to study the biologic role of senescence in other cancers.
Topics: Aged; Antineoplastic Agents; Aziridines; Benzoquinones; Biomarkers; Cellular Senescence; Epithelial Cells; Formaldehyde; Gene Expression Regulation, Neoplastic; Humans; Kallikreins; Male; Middle Aged; Neoplasm Grading; Neoplasm Recurrence, Local; Neoplasm Staging; Paraffin Embedding; Primary Cell Culture; Prostate; Prostate-Specific Antigen; Prostatic Neoplasms; Signal Transduction; Survival Analysis; Tissue Fixation; beta-Galactosidase
PubMed: 25876105
DOI: 10.1371/journal.pone.0124366 -
American Journal of Reproductive... Mar 2024To evaluate the correlation between the antiannexin A5 antibodies (aAnxA5) multiples of median (MOM) and subsequent pregnancy outcomes in women with recurrent...
PROBLEM
To evaluate the correlation between the antiannexin A5 antibodies (aAnxA5) multiples of median (MOM) and subsequent pregnancy outcomes in women with recurrent miscarriage (RM).
METHODS
Totally, 310 RM women were included in this study and grouped into tertiles according to their MOM of preconception aAnxA5 circulating levels determined by ELISA. The effect of aAnxA5 on the pregnancy outcomes was performed using multiple logistic regression. The outcomes included early miscarriage (before 10 weeks of gestation), late miscarriage (between 10 and 24 weeks), ongoing pregnancy (beyond 10 weeks), and live birth (after 24 weeks) characterized by pregnancy with fetal heartbeat.
RESULTS
For each unit increase in aAnxA5 MOM, the odds of live birth after 24 weeks and ongoing pregnancy were reduced by 40.2% (OR = .598; 95%CI 0.406-0.882, P = .010) and 38.1% (OR = .619; 95%CI 0.424-0.904, P = .013), respectively, after adjusting for demographic and clinical characteristics. The rise in aAnxA5 MOM was associated with an increased risk of early miscarriage (OR = 1.616; 95%CI 1.106-2.361, P = .013) and miscarriage (early + late miscarriage) (OR = 1.671; 95%CI 1.134-2.464, P = .010). Further subgroup analyses showed a decreased risk of live birth rates after 24 weeks of gestation in the two subgroups: maternal age ≥35 years (OR = .131; 95%CI 0.026-0.652), and previous pregnancy loss ≥ 3 (OR = .381; 95%CI 0.173-0.837).
CONCLUSIONS
Higher preconception aAnxA5 MOM levels in women with RM may be linked with a decreased risk of live birth after 24 weeks and an increased risk of early miscarriage, especially in individuals aged ≥35 years or with previous pregnancy losses ≥3.
Topics: Pregnancy; Female; Humans; Retrospective Studies; Live Birth; Annexin A5; Abortion, Habitual; China; Aziridines; Benzoquinones
PubMed: 38407361
DOI: 10.1111/aji.13822