Lactate dehydrogenase as a prognostic factor for survival time of terminally ill cancer patients: A preliminary study

2007 ◽  
Vol 43 (6) ◽  
pp. 1051-1059 ◽  
Author(s):  
Sang-Yeon Suh ◽  
Hong-Yup Ahn
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 ◽  
...  

1995 ◽  
Vol 11 (3) ◽  
pp. 20-24 ◽  
Author(s):  
Pierre Allard ◽  
Albert Dionne ◽  
Diane Potvin

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.


2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 18627-18627
Author(s):  
S. Koh ◽  
K. Lee ◽  
Y. Hong ◽  
J. Kang ◽  
I. Woo ◽  
...  

18627 Background: One of the most important role of a end-of-life care is to control physical symptoms of patients and help them to face comfortable end. In terminally ill cancer patients, accurate prediction of survival is necessary for clinical and ethical reasons, especially in helping to avoid harm, discomfort and inappropriate therapies and in planning specific care strategies. The aim of the study was to investigate prognostic factor of death for the patients with terminal cancer. Methods: We enrolled 121 patients with the terminal cancer of Kangnam St. Mary’s Hospital from September 2004 until their death. We observed symptoms shown in dying patients and assess 17 common symptoms shown in terminally ill cancer patients, performance status, pain and analgesic use. The common symptoms were measured in a score of 0-none, 1-mild, 2-moderate, 3-severe or 4-severe by objective criteria. Results: Mean period from enrollment to death was 34.7days. The most important prognostic factor is performance status (KPS), average KPS at enrollment is 52.2% and at last 48hours is 29.8%. Physical symptoms that have significant prognostic importance are weakness, anorexia, dry mouth, dysphagia, dyspnea. VAS and analgesic use dose not impact on the prognosis. But cognitive impairment and delirium are the reliable prognostic factor. Especially weakness, dry mouth, poor oral intake, drowsiness, edema, dyspnea, ascites, icterua gradually worsened with significance. Dying patients showed markedly decreased blood pressure, cyanosis, cold extremity, death rattle, abnormal respiration frequently at 48hours before death. Conclusions: Terminally ill cancer patients have various prognostic factor and the most important factor is performance status. The death predictive symptoms such as markedly decreased pressure, cyanosis, cold extremity, death rattle, abnormal respiration appeared at last 48hours. If we assess the symptoms more carefully, we can predict the more accurate prognosis. The communication about the prognostic information will influence the personal therapeutic decision and specific care planning. No significant financial relationships to disclose.


2020 ◽  
Vol 29 (1) ◽  
pp. 525-531
Author(s):  
So-Jung Park ◽  
Hee Kyung Ahn ◽  
Hong Yup Ahn ◽  
Kyu-Tae Han ◽  
In Cheol Hwang

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