One-minute time interval estimation as a novel potent indicator of emotional concerns in cancer patients prior to starting chemotherapy

2019 ◽  
Author(s):  
Ivan Shterev Donev ◽  
Dragomir Svetozarov Stoyanov ◽  
Teodorika Vitalinova Panayotova ◽  
Martina Stoyanova Ivanova ◽  
Yavor Kostadinov Kashlov ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Interval Estimation ◽  
Time Interval

One-minute time interval estimation as a novel potent indicator of need for help in cancer patients prior to starting chemotherapy.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e23161-e23161
Author(s):  
Dragomir Stoyanov ◽  
Ivan Donev ◽  
Nikolay Vladimirov Conev ◽  
Teodorika Panayotova ◽  
Martina Ivanova
Keyword(s):  
Cancer Patients ◽  
Interval Estimation ◽  
Time Estimation ◽  
Multivariate Logistic Regression Model ◽  
Time Interval ◽  
Fast Time ◽  
Time Saving ◽  
Perception Of Time ◽  
High Level ◽  
Cancer Network

e23161 Background: Perception of time strongly correlates with people’s current emotional state. Our study explored the potential relationship between the time estimation and the need of help in cancer patients prior to starting chemotherapy. Methods: Time estimation was assessed in 375 chemonaïve patients with solid tumors by evaluating each subject’s prospective estimation of how fast one minute passed compared to the actual time. The median value (40 sec) of time estimation was used to stratify the patients into two categories of fast and slow time estimation. The National Comprehensive Cancer Network Distress Thermometer and Problem List were used at the beginning of treatment to evaluate levels of distress and patients’ concerns. Additional question was asked “Do you need help?”. Results: Patients who reported the need of help were 134 (35.7%). The need of help correlated with fast time estimation, high level of distress and younger age (< 65y). Patients who reported a need of help estimated time significantly faster than those who did not report it (37.2±15.5 vs 42.7±17.2; p = 0.004). ROC analysis revealed that at the optimal cutoff value of time estimation, patients who reported a need of help and those who did not can be discriminated with an AUC = 0.59 (95% CI: 0.53-0.65, p = 0.003) and with a sensitivity of 61.9% and a specificity of 50.6%. Moreover, in a multivariate logistic regression model, fast time estimation was an independent predictor of reporting the need of help (OR 1.59; 95% CI 1.02-2.45; p = 0.04). Conclusions: Time estimation is a novel potent indicator for the need of help in cancer patients. This test is an easily performed, time-saving and nonintrusive ultrashort screening tool for the need of help that is even suitable for patients who are not willing to reveal their need of help via direct questionnaires.

Time Estimation Performance Before, during and after Physical Activity

1988 ◽  
Vol 32 (15) ◽  
pp. 985-989 ◽  
Author(s):  
T. Mihaly ◽  
P.A. Hancock ◽  
M. Vercruyssen ◽  
M. Rahimi
Keyword(s):  
Interval Estimation ◽  
Time Estimation ◽  
Cycle Ergometer ◽  
Estimation Accuracy ◽  
Physical Work ◽  
Time Interval ◽  
Individual Subject ◽  
Knowledge Of Results ◽  
The Individual ◽  
Experimental Findings

An experiment is reported which evaluated performance on a 10-sec time interval estimation task before, during and after physical work on cycle ergometer at intensities of 30 and 60% VO2max, as scaled to the individual subject. Results from the eleven subjects tested indicate a significant increase in variability of estimates during exercise compared to non-exercise phases. Such a trend was also seen in the mean of estimates, where subjects significantly underestimated the target interval (10 seconds) during exercise. Subjects also performed more accurately with information feedback than without knowledge of results, but they were still not able to overcome the effects of exercise. As suggested by the experimental findings, decreased estimation accuracy and increased variability can be expected during physical work and is part of a body of evidence which indicates that exercise and its severity has a substantive impact on perceptual and cognitive performance.

scholarly journals Time-Interval Estimation Training Modulate Motor Behavior and Cerebral Cortex Activity in Parkinson Disease Patients: Preliminary Study

2019 ◽  
Vol 09 (01) ◽  
Author(s):  
Francisco Magalhaes ◽  
Victor Marinho ◽  
Carla Ayre ◽  
Kaline Rocha ◽  
Silmar Teixeira ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Parkinson Disease ◽  
Motor Behavior ◽  
Interval Estimation ◽  
Time Interval ◽  
Preliminary Study

scholarly journals Addressing decisional conflict about fertility preservation: helping young female cancer survivors’ family planning decisions

2017 ◽  
Vol 44 (3) ◽  
pp. 175-180 ◽  
Author(s):  
Madleina Müller ◽  
Corinne Urech ◽  
Jacky Boivin ◽  
Verena Ehrbar ◽  
Rebecca Moffat ◽  
...  
Keyword(s):  
Family Planning ◽  
Cancer Survivors ◽  
Cancer Patients ◽  
Fertility Preservation ◽  
Decisional Conflict ◽  
Young Female ◽  
University Education ◽  
Time Interval ◽  
Related Factors ◽  
Female Cancer Patients

BackgroundHealth professionals are challenged by a growing number of young long-term cancer survivors with their specific needs with regard to family planning. This study aimed at assessing decisional conflict (DC) in young female cancer patients regarding fertility preservation, identifying demographic, fertility and fertility preservation related factors, which may affect DC, and assessing the helpfulness of various decision-supports.MethodsA retrospective, cross-sectional, web-based survey via an online questionnaire available in three languages with specific items concerning cancer, fertility, fertility preservation and the validated Decisional Conflict Scale targeted at current or former female cancer patients aged 18–45 years, with cancer types or treatment potentially affecting reproductive function.ResultsThe 155 participating women showed considerable DC, especially with regard to missing information and support. DC was significantly lower in patients when the risk of infertility was discussed with a health professional, when they had undergone any procedure to preserve fertility, and when they had a university education. A longer time interval since cancer diagnosis was associated with higher DC. The most helpful decision-support tools were specialised websites and leaflets.ConclusionsYoung female cancer patients’ DC with regard to fertility preservation is very high. Information and support seem to be deficient. More information through standardised information tools might be an effective strategy to lower their DC at the time when treatment decisions need to be taken, and to improve their reproductive health after they have overcome cancer in the future.

Exploring time interval estimation for familiar and unfamiliar musical pieces

2021 ◽  
Author(s):  
Anastasiya Paltarzhitskaya ◽  
Daria Kleeva ◽  
Maria Osadchaya ◽  
Mikhail Lebedev ◽  
Andriy Myachykov ◽  
...  
Keyword(s):  
Interval Estimation ◽  
Time Interval

Serious illness conversation and end of life care utilization at an academic medical center.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 29-29
Author(s):  
William P. Tompkins ◽  
Christine Agnes Ciunci ◽  
Suzanne Walker ◽  
Kelly Patton ◽  
Amy Schwartz ◽  
...  
Keyword(s):  
Palliative Care ◽  
End Of Life ◽  
Cancer Patients ◽  
Median Time ◽  
Medical Center ◽  
Time Interval ◽  
Inpatient Setting ◽  
Serious Illness ◽  
Life Planning ◽  
End Of Life Planning

29 Background: Hospice has been associated with improved quality of life for patients, cost savings, and reduction in caregiver-grief-related depression. While cancer patients make up a plurality of hospice utilizers nationally, many patients are only on hospice for a limited period (in Medicare patients, a median of 18 days). Studies suggest engaging cancer patients to discuss goals and priorities using the Serious Illness Conversation (SIC) Guide has a positive impact on prognostic understanding and end-of-life planning. More frequent utilization of SICs may prompt earlier enrollment of oncology patients in hospice when appropriate. Methods: We identified cancer patients enrolled in hospice at the Abramson Cancer Center at Penn Presbyterian Medical Center from 2019-2020 after all providers received SIC training. Patient demographics, cancer diagnosis, type of hospice (home versus inpatient), SIC usage, palliative care referral patterns and time on hospice were abstracted. Results: 104 patients were enrolled in hospice during the study period. The majority of patients were female (51%). 45% were Caucasian, and 31% were African American. The most common cancer diagnoses were thoracic (52%) and gastrointestinal (32%) malignancies. 85 patients (82%) were enrolled on home hospice and 19 patients (18%) inpatient hospice. Palliative care usage included 50 inpatient and 24 outpatient consultations; 30 patients (29%) in the cohort never utilized palliative care. 52 (50%) of patients did not have a SIC. 47% (40 patients) enrolled in home hospice had an SIC while 63% (12 patients) on inpatient hospice had an SIC. The median time interval between a patient’s SIC conversation and hospice enrollment was longer in home hospice patients (74 days) compared to inpatient hospice (33 days). Patients on home hospice spent an average of 44 days on hospice versus 2 days in the inpatient setting. Conclusions: Half of the patients at Penn Presbyterian Medical Center enrolled in hospice during the study period did not have an SIC, and 29% did not see palliative care prior to starting hospice. The median time from SIC initiation to hospice enrollment was significantly longer for patients on home hospice compared to inpatient hospice suggesting a need for earlier SIC interventions. Patients enrolled in inpatient hospice spent a considerably shorter period of time on hospice also underscoring the importance of earlier end of life planning. Our findings indicate a need for additional interventions to facilitate earlier SIC conversations in the outpatient setting and a demand for increased palliative care access.

Hypercoagulation in Malignancy: Localized by Thromboelastography to the Humoral Phase of Coagulation

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 5352-5352
Author(s):  
Sunil Nagpal ◽  
Dianne E Schwartz ◽  
Edward Faber ◽  
Andrea Cziffer ◽  
Chethan Puttarajappa ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Tissue Factor ◽  
Alpha Angle ◽  
Coagulation Factors ◽  
Lymphoproliferative Disease ◽  
Tissue Type ◽  
Time Interval ◽  
Rapid Rate ◽  
Flowing Fluid ◽  
Patients With Cancer

Abstract Patients with cancer are considered hypercoagulable since their risk of thromboembolic events is significantly higher than patients without cancer. Thromboelastography (TEG) was used to investigate hypercoagulation in cancer patients. TEG continually measures over time the physical visco-elastic properties of blood as it transforms from a free flowing fluid to a gel-like clot. Our hypothesis was that blood from cancer patients would form a clot at a faster rate than blood from non-cancer patients hospitalized for thrombo-embolic disease. We studied 75 patients mean age was 57±14 composed of 46 females and 29 males. The patients were divided into 3 different groups: 14 patients with malignancy and thrombosis, 47 malignancy without thrombosis and 14 thrombosis without malignancy. TEG was performed using whole blood stimulated with two agonists: tissue factor and kaolin. Rate of clot development was increased in the cancer patients with and without thrombosis when compared to non-cancer thrombosis group and was localized to the humoral phase of coagulation (p&lt;0.05). Both tissue factor and kaolin stimulated TEGs showed shortening of the “r” time interval in the cancer patients (reflective of a more rapid rate of activation of humoral coagulation factors) and a larger α=alpha angle (reflective of fibrinogen activity). No difference was observed in the platelet phase of coagulation (MA). Cancer patients treated with erythropoietin did not differ from patients who were not treated. Class of chemotherapeutic agent (alkylating agent, antimetabolite, both or neither) was not correlated with TEG. Tissue type of the patients’ malignancy (adenocarcinoma, lymphoproliferative disease, squamos cell carcinoma or other) did not influence the TEG. We conclude that Cancer patients with and without thrombosis differ when compared non-cancer patients with thrombosis by demonstrating a more rapid rate of clot development in the humoral phase of coagulation.

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