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Published in: Journal of Translational Medicine 1/2014

Open Access 01-12-2014 | Research

Nonspecific changes in clinical laboratory indicators in unselected terminally ill patients and a model to predict survival time based on a prospective observational study

Authors: Liu Hui, Liu Qigui, Ren Sashuang, Liu Xiliang, Luan Guihong

Published in: Journal of Translational Medicine | Issue 1/2014

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Abstract

Background

The clinical prediction of survival is among the most challenging tasks because it refers to the process whereby the medical team assimilates clinical data using subjective methods. The purpose of this prospective observational study was to develop a model for evaluating survival time using objective laboratory parameters.

Methods

Albumin (ALB), creatinine (CRE), C-reactive protein (CRP) and the neutrophilic leukocyte count (NEU) were measured using automated analysers. A total of 177 subjects with any one positive item of 4 items were included in the study. Age on the observation date and date of death were recorded.

Results

ALB, CRE, CRP and the NEU were all significant predictors of survival time (p < 0.05). The median survival time of patients with anyone of the 4 items positive would be over 1 year; if any 2 items were positive, the median survival time was approximately 1 year; if any 3 items were positive, the median survival time was approximately 4 months and if 4 items were positive, the median survival time was approximately 20 days.

Conclusions

This study suggests that a model using ALB, CRE, CRP and the NEU is potentially useful in the objective evaluation of survival time in terminally ill patients.
Appendix
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Literature
1.
go back to reference Leung E, McArdle K, Wong LS: Risk-adjusted scoring systems in colorectal surgery. Int J Surg. 2011, 9 (2): 130-135. 10.1016/j.ijsu.2010.10.016.CrossRefPubMed Leung E, McArdle K, Wong LS: Risk-adjusted scoring systems in colorectal surgery. Int J Surg. 2011, 9 (2): 130-135. 10.1016/j.ijsu.2010.10.016.CrossRefPubMed
2.
go back to reference Frost SA, Alexandrou E, Bogdanovski T, Salamonson Y, Davidson PM, Parr MJ, Hillman KM: Severity of illness and risk of readmission to intensive care: a meta-analysis. Resuscitation. 2009, 80 (5): 505-510. 10.1016/j.resuscitation.2009.02.015.CrossRefPubMed Frost SA, Alexandrou E, Bogdanovski T, Salamonson Y, Davidson PM, Parr MJ, Hillman KM: Severity of illness and risk of readmission to intensive care: a meta-analysis. Resuscitation. 2009, 80 (5): 505-510. 10.1016/j.resuscitation.2009.02.015.CrossRefPubMed
3.
go back to reference Chandra A, Mangam S, Marzouk D: A review of risk scoring systems utilised in patients undergoing gastrointestinal surgery. J Gastrointest Surg. 2009, 13 (8): 1529-1538. 10.1007/s11605-009-0857-z.CrossRefPubMed Chandra A, Mangam S, Marzouk D: A review of risk scoring systems utilised in patients undergoing gastrointestinal surgery. J Gastrointest Surg. 2009, 13 (8): 1529-1538. 10.1007/s11605-009-0857-z.CrossRefPubMed
4.
go back to reference Jeon EJ, Jung JW, Choi JC, Shin JW, Park IW, Choi BW, Park AJ, Kim JY: The value of procalcitonin and the SAPS II and APACHE III scores in the differentiation of infectious and non-infectious fever in the ICU: a prospective, cohort study. J Korean Med Sci. 2010, 25 (11): 1633-1637. 10.3346/jkms.2010.25.11.1633.PubMedCentralCrossRefPubMed Jeon EJ, Jung JW, Choi JC, Shin JW, Park IW, Choi BW, Park AJ, Kim JY: The value of procalcitonin and the SAPS II and APACHE III scores in the differentiation of infectious and non-infectious fever in the ICU: a prospective, cohort study. J Korean Med Sci. 2010, 25 (11): 1633-1637. 10.3346/jkms.2010.25.11.1633.PubMedCentralCrossRefPubMed
5.
go back to reference Wheeler MM: APACHE: an evaluation. Crit Care Nurs Q. 2009, 32 (1): 46-48. 10.1097/01.CNQ.0000343134.12071.a5.CrossRefPubMed Wheeler MM: APACHE: an evaluation. Crit Care Nurs Q. 2009, 32 (1): 46-48. 10.1097/01.CNQ.0000343134.12071.a5.CrossRefPubMed
6.
go back to reference Gripp S, Moeller S, Bölke E, Schmitt G, Matuschek C, Asgari S, Asgharzadeh F, Roth S, Budach W, Franz M, Willers R: Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression. J Clin Oncol. 2007, 25 (22): 3313-3320. 10.1200/JCO.2006.10.5411.CrossRefPubMed Gripp S, Moeller S, Bölke E, Schmitt G, Matuschek C, Asgari S, Asgharzadeh F, Roth S, Budach W, Franz M, Willers R: Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression. J Clin Oncol. 2007, 25 (22): 3313-3320. 10.1200/JCO.2006.10.5411.CrossRefPubMed
7.
go back to reference Hui L, Shijun L, Xinyu Z, Yuai W, Xiaoting X: Objective assessment of stress levels and health status using routinely measured clinical laboratory parameters as biomarkers. Biomarkers. 2011, 16 (6): 525-529. 10.3109/1354750X.2011.606505.CrossRefPubMed Hui L, Shijun L, Xinyu Z, Yuai W, Xiaoting X: Objective assessment of stress levels and health status using routinely measured clinical laboratory parameters as biomarkers. Biomarkers. 2011, 16 (6): 525-529. 10.3109/1354750X.2011.606505.CrossRefPubMed
8.
go back to reference Hui L, Yuai W, Xia Q, Hong Y: Serum glucose- and C-reactive protein-based assessment of stress status in a healthy population. Clin Lab. 2010, 56 (5–6): 227-230.PubMed Hui L, Yuai W, Xia Q, Hong Y: Serum glucose- and C-reactive protein-based assessment of stress status in a healthy population. Clin Lab. 2010, 56 (5–6): 227-230.PubMed
9.
go back to reference Hongwei W, Xinyu Z, Guihong L, Xiliang L, Hui L: Nonspecific biochemical changes under different health statuses and a quantitative model based on biological markers to evaluate systemic function in humans. Clin Lab. 2010, 56 (5–6): 223-225.PubMed Hongwei W, Xinyu Z, Guihong L, Xiliang L, Hui L: Nonspecific biochemical changes under different health statuses and a quantitative model based on biological markers to evaluate systemic function in humans. Clin Lab. 2010, 56 (5–6): 223-225.PubMed
10.
go back to reference Fischer K, Kettunen J, Würtz P, Haller T, Havulinna AS, Kangas AJ, Soininen P, Esko T, Tammesoo ML, Mägi R, Smit S, Palotie A, Ripatti S, Salomaa V, Ala-Korpela M, Perola M, Metspalu A: Biomarker profiling by nuclear magnetic resonance spectroscopy for the prediction of all-cause mortality: an observational study of 17,345 persons. PLoS Med. 2014, 11 (2): e1001606-10.1371/journal.pmed.1001606.PubMedCentralCrossRefPubMed Fischer K, Kettunen J, Würtz P, Haller T, Havulinna AS, Kangas AJ, Soininen P, Esko T, Tammesoo ML, Mägi R, Smit S, Palotie A, Ripatti S, Salomaa V, Ala-Korpela M, Perola M, Metspalu A: Biomarker profiling by nuclear magnetic resonance spectroscopy for the prediction of all-cause mortality: an observational study of 17,345 persons. PLoS Med. 2014, 11 (2): e1001606-10.1371/journal.pmed.1001606.PubMedCentralCrossRefPubMed
11.
go back to reference Al Sibae MR, Cappell MS: Accuracy of MELD scores in predicting mortality in decompensated cirrhosis from variceal bleeding, hepatorenal syndrome, alcoholic hepatitis, or acute liver failure as well as mortality after non-transplant surgery or TIPS. Dig Dis Sci. 2011, 56 (4): 977-987. 10.1007/s10620-010-1390-3.CrossRefPubMed Al Sibae MR, Cappell MS: Accuracy of MELD scores in predicting mortality in decompensated cirrhosis from variceal bleeding, hepatorenal syndrome, alcoholic hepatitis, or acute liver failure as well as mortality after non-transplant surgery or TIPS. Dig Dis Sci. 2011, 56 (4): 977-987. 10.1007/s10620-010-1390-3.CrossRefPubMed
12.
go back to reference Moreau-Gaudry X, Guebre-Egziabher F, Jean G, Genet L, Lataillade D, Legrand E, Kuentz F, Trolliet P, Fouque D: Serum creatinine improves body mass index survival prediction in hemodialysis patients: a 1-year prospective cohort analysis from the ARNOS study. J Ren Nutr. 2011, 21 (5): 369-375. 10.1053/j.jrn.2010.08.005.CrossRefPubMed Moreau-Gaudry X, Guebre-Egziabher F, Jean G, Genet L, Lataillade D, Legrand E, Kuentz F, Trolliet P, Fouque D: Serum creatinine improves body mass index survival prediction in hemodialysis patients: a 1-year prospective cohort analysis from the ARNOS study. J Ren Nutr. 2011, 21 (5): 369-375. 10.1053/j.jrn.2010.08.005.CrossRefPubMed
13.
go back to reference Jagdev SP, Gregory W, Vasudev NS, Harnden P, Sim S, Thompson D, Cartledge J, Selby PJ, Banks RE: Improving the accuracy of pre-operative survival prediction in renal cell carcinoma with C-reactive protein. Br J Cancer. 2010, 103 (11): 1649-1656. 10.1038/sj.bjc.6605973.PubMedCentralCrossRefPubMed Jagdev SP, Gregory W, Vasudev NS, Harnden P, Sim S, Thompson D, Cartledge J, Selby PJ, Banks RE: Improving the accuracy of pre-operative survival prediction in renal cell carcinoma with C-reactive protein. Br J Cancer. 2010, 103 (11): 1649-1656. 10.1038/sj.bjc.6605973.PubMedCentralCrossRefPubMed
14.
go back to reference Department of population and employment statistics national bureau of statistics of China: China Population Statistics Yearbook 2006. China Statistics Press. 2006, 152-154. Department of population and employment statistics national bureau of statistics of China: China Population Statistics Yearbook 2006. China Statistics Press. 2006, 152-154.
15.
go back to reference Minne L, Abu-Hanna A, De Jonge E: Evaluation of SOFA-based models for predicting mortality in the ICU: a systematic review. Crit Care. 2008, 12 (6): R161-PubMedCentralCrossRefPubMed Minne L, Abu-Hanna A, De Jonge E: Evaluation of SOFA-based models for predicting mortality in the ICU: a systematic review. Crit Care. 2008, 12 (6): R161-PubMedCentralCrossRefPubMed
16.
go back to reference Christensen S, Johansen MB, Christiansen CF, Jensen R, Lemeshow S: Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive care. Clin Epidemiol. 2011, 3: 203-211.PubMedCentralCrossRefPubMed Christensen S, Johansen MB, Christiansen CF, Jensen R, Lemeshow S: Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive care. Clin Epidemiol. 2011, 3: 203-211.PubMedCentralCrossRefPubMed
17.
go back to reference Silva VT CE, De Castro I, Liaño F, Muriel A, RodrÃguez-Palomares JR, Yu L: Performance of the third generation models of severity scoring systems (APACHE IV, SAPS 3 and MPM-III) in acute kidney injury critically ill patients. Nephrol Dial Transplant. 2011, 26 (12): 3894-3901. 10.1093/ndt/gfr201.CrossRef Silva VT CE, De Castro I, Liaño F, Muriel A, RodrÃguez-Palomares JR, Yu L: Performance of the third generation models of severity scoring systems (APACHE IV, SAPS 3 and MPM-III) in acute kidney injury critically ill patients. Nephrol Dial Transplant. 2011, 26 (12): 3894-3901. 10.1093/ndt/gfr201.CrossRef
18.
go back to reference Vincent JL, Opal SM, Marshall JC: Ten reasons why we should NOT use severity scores as entry criteria for clinical trials or in our treatment decisions. Crit Care Med. 2010, 38 (1): 283-287. 10.1097/CCM.0b013e3181b785a2.CrossRefPubMed Vincent JL, Opal SM, Marshall JC: Ten reasons why we should NOT use severity scores as entry criteria for clinical trials or in our treatment decisions. Crit Care Med. 2010, 38 (1): 283-287. 10.1097/CCM.0b013e3181b785a2.CrossRefPubMed
Metadata
Title
Nonspecific changes in clinical laboratory indicators in unselected terminally ill patients and a model to predict survival time based on a prospective observational study
Authors
Liu Hui
Liu Qigui
Ren Sashuang
Liu Xiliang
Luan Guihong
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2014
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/1479-5876-12-78

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