scholarly journals The Effects of Plasma Endotoxin Level on Survival Time of Terminally Ill Cancer Patients

2014 ◽  
Vol 17 (2) ◽  
pp. 57-65 ◽  
Author(s):  
Jin-Ah Lee ◽  
Ho Min Yoon ◽  
Youn Seon Choi ◽  
Jong Eun Yeon ◽  
June Young Lee
Keyword(s):  
Survival Time ◽  
Cancer Patients ◽  
Terminally Ill ◽  
Endotoxin Level ◽  
Terminally Ill Cancer Patients ◽  
Plasma Endotoxin ◽  
Plasma Endotoxin Level

scholarly journals Palliative Performance Status, Heart Rate and Respiratory Rate as Predictive Factors of Survival Time in Terminally Ill Cancer Patients

2006 ◽  
Vol 31 (6) ◽  
pp. 485-492 ◽  
Author(s):  
Cristina de Miguel Sánchez ◽  
Sofía Garrido Elustondo ◽  
Alicia Estirado ◽  
Fernando Vicente Sánchez ◽  
Cristina García de la Rasilla Cooper ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Survival Time ◽  
Cancer Patients ◽  
Predictive Factors ◽  
Performance Status ◽  
Terminally Ill ◽  
Terminally Ill Cancer Patients

Factors Associated with Length of Survival among 1081 Terminally Ill Cancer Patients

1995 ◽  
Vol 11 (3) ◽  
pp. 20-24 ◽  
Author(s):  
Pierre Allard ◽  
Albert Dionne ◽  
Diane Potvin
Keyword(s):  
Palliative Care ◽  
Prognostic Factors ◽  
Survival Time ◽  
Cancer Patients ◽  
Performance Status ◽  
Terminally Ill ◽  
Patient Characteristics ◽  
Cancer Site ◽  
Primary Tumor Site ◽  
Terminally Ill Cancer Patients

To improve their ability to estimate the survival of terminally ill cancer patients, palliative care physicians require accurate information on prognostic factors. The objective of this study was to assess the extent to which variables such as patient characteristics and primary tumor site affect the length of survival of terminally ill cancer patients. The study population consisted of 1081 cancer patients admitted for terminal care to a 15-bed palliative care unit from 1985 to 1991. Univariate Kaplan-Meier survival analysis and multivariate Cox regression analyses were used to examine the relationship between patient characteristics at admission and survival time. The factor most strongly associated with shorter survival was poor performance status; this strong relationship was not altered by taking into account sex and primary cancer site in the multivariate analysis. For patients who were bedridden at admission, the death rate was 5.5 times higher (95% confidence interval (CI) 3.4–9.0) than that for ambulatory patients during the first four days of stay and it was 2.8 times higher (95% CI 2.0–3.9) subsequently (up to 19 days). The other prognostic factors significantly but slightly associated with poorer survival in the univariate analysis were primary lung cancer, male sex, and living with a spouse. These findings indicate that performance status is the main prognostic factor for accurately estimating the survival time of terminally ill cancer patients.

Association between continuous deep sedation and survival time in terminally ill cancer patients

2020 ◽  
Vol 29 (1) ◽  
pp. 525-531
Author(s):  
So-Jung Park ◽  
Hee Kyung Ahn ◽  
Hong Yup Ahn ◽  
Kyu-Tae Han ◽  
In Cheol Hwang
Keyword(s):  
Survival Time ◽  
Cancer Patients ◽  
Deep Sedation ◽  
Terminally Ill ◽  
Terminally Ill Cancer Patients ◽  
Continuous Deep Sedation

scholarly journals Uric Acid as a Prognostic Factor for Survival Time: A Prospective Cohort Study of Terminally Ill Cancer Patients

2006 ◽  
Vol 31 (6) ◽  
pp. 493-501 ◽  
Author(s):  
Hyun-Sik Shin ◽  
Hye-Ree Lee ◽  
Duk-Chul Lee ◽  
Jae-Yong Shim ◽  
Kyung-Hee Cho ◽  
...  
Keyword(s):  
Uric Acid ◽  
Cohort Study ◽  
Prognostic Factor ◽  
Survival Time ◽  
Cancer Patients ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Terminally Ill ◽  
Terminally Ill Cancer Patients

Predictive Factors for the Development of Dyspnea Within 7 Days After Admission Among Terminally Ill Cancer Patients

2021 ◽  
pp. 104990912110288
Author(s):  
Ryo Matsunuma ◽  
Takashi Yamaguchi ◽  
Masanori Mori ◽  
Tomoo Ikari ◽  
Kozue Suzuki ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Predictive Factors ◽  
Performance Status ◽  
Univariate Analysis ◽  
Terminally Ill ◽  
Primary Lung Cancer ◽  
Poor Performance Status ◽  
Terminally Ill Cancer Patients ◽  
Development Group

Background: Predictive factors for the development of dyspnea have not been reported among terminally ill cancer patients. Objective: This current study aimed to identify the predictive factors attributed to the development of dyspnea within 7 days after admission among patients with cancer. Methods: This was a secondary analysis of a multicenter prospective observational study on the dying process among patients admitted in inpatient hospices/palliative care units. Patients were divided into 2 groups: those who developed dyspnea (development group) and those who did not (non-development group). To determine independent predictive factors, univariate and multivariate analyses using the logistic regression model were performed. Results: From January 2017 to December 2017, 1159 patients were included in this analysis. Univariate analysis showed that male participants, those with primary lung cancer, ascites, and Karnofsky Performance Status score (KPS) of ≤40, smokers, and benzodiazepine users were significantly higher in the development group. Multivariate analysis revealed that primary lung cancer (odds ratio [OR]: 2.80, 95% confidence interval [95% CI]: 1.47-5.31; p = 0.002), KPS score (≤40) (OR: 1.84, 95% CI: 1.02-3.31; p = 0.044), and presence of ascites (OR: 2.34, 95% CI: 1.36-4.02; p = 0.002) were independent predictive factors for the development of dyspnea. Conclusions: Lung cancer, poor performance status, and ascites may be predictive factors for the development of dyspnea among terminally ill cancer patients. However, further studies should be performed to validate these findings.

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