Factors Influencing Depressive Symptoms of Children Treated for a Brain Tumor

2007 ◽  
Vol 26 (1) ◽  
pp. 1-16 ◽  
Author(s):  
M. Barrera ◽  
F. Schulte ◽  
B. Spiegler
2009 ◽  
Vol 44 (10) ◽  
pp. 825-833 ◽  
Author(s):  
Maite Ferrin ◽  
Julia Gledhill ◽  
Tami Kramer ◽  
M. Elena Garralda

1996 ◽  
Vol 6 (1) ◽  
pp. 37-38
Author(s):  
David D Lewis ◽  
Robin R Vidovich ◽  
LifeBanc Cleveland

A 3-year retrospective review of brain tumor cases was performed to determine factors that influence organ procurement in light of the increase in references in transplant literature to the hazards of transplanting organs from donors with brain tumors. A 3-year review of cases in which organ procurement efforts occurred were evaluated. Of 314 cases resulting from this review, organ procurement efforts yielded 10 patients with a diagnosis of brain tumor. Of those 10 cases, seven progressed to organ donation, with at least one organ per patient recovered. Manipulation of brain tumors or manipulation along with tissue diagnosis does not seem to hinder procurement of organs. Without tissue diagnosis, the ability of the organ procurement organization to place organs decreases significantly.


Author(s):  
Ikuyo Kondo ◽  
Naomi Shimazu ◽  
Fusako Koshikawa ◽  
Hanae Souma ◽  
Yasutomo Ishii

2020 ◽  
Vol 12 (9) ◽  
pp. 118
Author(s):  
Abdulrahman Al-Anazi ◽  
Maan A. Bari Saleh ◽  
Abdel W. Awadalla ◽  
Amen A. Bawazir ◽  
Ahmed Ammar ◽  
...  

BACKGROUND: Depression and anxiety (DA) are common in persons with brain tumor (PBT) and are associated with neurocognitive deficits. The terms DA and affective disorders are often used interchangeably in this study. Objective: This was a pilot study, conducted with the purpose of better assessing DA symptoms in association with socioeconomic and clinical characteristics in PBT. METHOD: A cross-sectional study was conducted on a sample of PBT (N = 102), recruited from a neurosurgical department. The tools employed were the Beck Depression Inventory-II (BDI-II) and the Hospital Anxiety and Depression Scale (HADS). The self-rating instruments proved feasible and reliable in screening for the severity of DA symptoms. The HADS is designed to measure the severity of anxiety and depressive symptoms in non-psychiatric hospital outpatients and does not assess the common somatic symptoms of these two disorders. The BDI-II evaluates the severity of depressive symptoms with items related to physical symptoms. RESULTS: Although our study did not, for the most part, yield results of statistical significance, it, however, demonstrated that anxiety and depressive disorders existed in PBT, showing a relatively higher rate in age groups 30–49 years. CONCLUSION: It was unclear whether these symptoms were invalidated by response bias, participant’s functional status, natural reaction to a fearing situation or just presentation of pseudodepression arose as a result of organic deficits. There is a need for further research to examine these factors.


2013 ◽  
Vol 118 (6) ◽  
pp. 1279-1287 ◽  
Author(s):  
Adomas Bunevicius ◽  
Vytenis Deltuva ◽  
Sarunas Tamasauskas ◽  
Arimantas Tamasauskas ◽  
Edward R. Laws ◽  
...  

Object A low triiodothyronine (T3) state is highly prevalent and is associated with a poor prognosis in critically ill patients. The authors investigated, in patients undergoing brain tumor surgery, the direct association of a perioperative low T3 syndrome with clinical outcomes and also with symptoms of depression and anxiety. Methods Ninety consecutive patients (71% women, median age 55 years), on admission for brain tumor surgery, were evaluated for sociodemographic and clinical characteristics. Their thyroid function profile was assessed on the morning of brain tumor surgery and on the morning after brain tumor surgery. Patients with free T3 concentrations of 3.1 pmol/L or less were considered to have low T3 syndrome. The patients were evaluated for symptoms of depression and anxiety using the Hospital Anxiety and Depression Scale (HADS) before and after surgery and for clinical outcomes using the Glasgow Outcome Scale (GOS) at discharge. Results After brain tumor surgery, free T3 concentrations decreased (p < 0.001) and the proportion of patients with low T3 levels increased from 38% to 54% (p = 0.02). Lower preoperative (rho = 0.30, p = 0.004) and postoperative (rho = 0.33, p = 0.002) free T3 concentrations correlated with low GOS scores at discharge. Preoperative low T3 syndrome (OR 5.49, 95% CI 1.27–23.69, p = 0.02) and postoperative low T3 syndrome (OR 8.73, 95% CI 1.49–51.21, p = 0.02) both increased risk for unfavorable clinical outcomes (GOS scores < 5) at discharge, after adjusting for age, sex, histological diagnosis of brain tumor, preoperative functional impairment, previous treatment for brain tumor, and depressive symptoms. Preoperative low T3 syndrome increased the risk for preoperative (HADS-depression subscale score ≥ 11; OR 4.12, 95% CI 1.16–14.58, p = 0.03) but not postoperative depressive symptoms independently from sociodemographic and clinical factors. Conclusions Low T3 syndrome is a strong independent predictor of unfavorable clinical outcomes and depressive symptoms, and its diagnosis and preoperative management should be considered in patients undergoing neurosurgery for the treatment of brain tumors.


Author(s):  
Shu-Yuan Liang ◽  
Hung-Fu Lee ◽  
Shu-Yuan Liang

Objective: The purpose of the present study was to evaluate the factors influencing resilience in primary brain tumor patients in Taiwan. Methods: A total of 95 participants completed the cross-sectional survey. All of the participants had undergone surgical, chemotherapy, or radiotherapy treatments for their brain tumors at least one month prior to data collection. The instruments that were used in data collection included the Resilience Scale (RS), a baseline characteristics datasheet, and the Karnofsky Performance Status (KPS) scale. Result: KPS score correlated significantly and positively with resilience (r = .49, p < .01). Moreover, financial means (t = 3.31, p < .01), mode of tumor treatment (t = 2.10, p < .05), and tumor recurrence status (t = -2.03, p < .05) were found to be significant predictors of resilience, accounting for 11% (R2 inc= .11, p< 0.01), 5% (R2 inc= .05, p< 0.05), and 12% (R2 inc= .12, p< 0.001) of the total variance, respectively. Conclusion: Health professionals may use the findings of the present study to assess the relevant baseline characteristics and physical abilities of their patients in order to better identify the presence of significant protective or risk factors for resilience.


Sign in / Sign up

Export Citation Format

Share Document