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Routine laboratory parameters to support decision on parenteral nutrition in palliative care
被引:0
|作者:
Kum, Lea
[1
]
Zeilinger, Elisabeth L.
[1
,2
,3
]
Vohla, Dagmar
[1
]
Kitta, Anna
[1
]
Brunevskaya, Nadine
[1
,2
]
Adamidis, Feroniki
[1
]
Ecker, Franziska
[1
]
Masel, Eva K.
[1
]
Mayr-Pirker, Brigitte
[4
]
Meyer, Alexa L.
[3
]
Sturtzel, Baerbel
[3
]
Kreye, Gudrun
[5
]
Unseld, Matthias
[1
,3
]
机构:
[1] Med Univ Vienna, Dept Med 1, Div Palliat Med, Vienna, Austria
[2] Univ Vienna, Fac Psychol, Dept Clin & Hlth Psychol, Vienna, Austria
[3] Acad Ageing Res, Vienna, Austria
[4] Paracelsus Med Univ, Dept Geriatr Med, Christian Doppler Clin, Salzburg, Austria
[5] Karl Landsteiner Univ Hlth Sci, Univ Hosp Krems, Dept Internal Med 2, Div Palliat Care, Krems, Austria
来源:
FRONTIERS IN NUTRITION
|
2023年
/
10卷
关键词:
decision tree;
parenteral nutrition;
routine laboratory parameters;
prognostic score;
biomarkers;
palliative care;
cancer;
cachexia;
ADVANCED CANCER-PATIENTS;
EATING-RELATED DISTRESS;
QUALITY-OF-LIFE;
PROGNOSTIC SCORE;
ARTIFICIAL NUTRITION;
NATIONWIDE SURVEY;
FAMILY-MEMBERS;
FOLLOW-UP;
SURVIVAL;
INTERVENTIONS;
D O I:
10.3389/fnut.2023.1173106
中图分类号:
R15 [营养卫生、食品卫生];
TS201 [基础科学];
学科分类号:
100403 ;
摘要:
IntroductionParenteral nutrition (PN) is widely used in palliative care (PC), but there is limited evidence to support its use at the end of life (EOL). This aim of this was to investigate the relationship between routine laboratory parameters and survival in patients receiving PN, and to develop a decision tree model to support clinicians decide whether to start or forgo PN.MethodsThe laboratory parameters of 113 patients with advanced diseases who were admitted to a specialized palliative care unit (PCU) were analyzed at two points in time: T0 = before PN, T1 = two weeks after initiation of PN. Univariate Mann-Whitney U-tests and multivariate linear regression models, as well as a decision tree analysis were computed; all in relation to survival time.ResultsThe final regression model was significant with p = 0.001 (adjusted R2 = 0.15) and included two predictors for survival time after PN initiation: the CRP/albumin ratio and urea at T1 (ps = 0.019). Decision tree analysis revealed three important predictors for classification of survival time after PN initiation: CRP, urea, and LDH (all at T0).DiscussionThe decision tree model may help to identify patients likely to benefit from PN, thus supporting the clinical decision whether or not to start PN.
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