Modeling serum creatinine in septic ICU patients
(2004) In Cardiovascular Engineering: An International Journal 4(2). p.173-180- Abstract
- Serum creatinine is a metabolite assumed to be constantly
produced by the normally functioning muscle mass and is
a good measure for monitoring daily renal function in the
intensive care unit (ICU). High serum creatinine levels or an
abnormal departure from normal pre-disease basal levels
are indices of acute renal failure (ARF). Septic ICU patients
develop multi-organ failure and ARF is often an important
complication. In order to attempt to substitute artificially for
the failing renal function, septic ARF patients often undergo
hemodialytic procedures until kidney damage resolves. The
present work details the structure of a model describing... (More) - Serum creatinine is a metabolite assumed to be constantly
produced by the normally functioning muscle mass and is
a good measure for monitoring daily renal function in the
intensive care unit (ICU). High serum creatinine levels or an
abnormal departure from normal pre-disease basal levels
are indices of acute renal failure (ARF). Septic ICU patients
develop multi-organ failure and ARF is often an important
complication. In order to attempt to substitute artificially for
the failing renal function, septic ARF patients often undergo
hemodialytic procedures until kidney damage resolves. The
present work details the structure of a model describing ob-
served creatinine serum concentration (CSC) variations, de-
pending on the time-varying septic insult to renal function in
ICU patients, as well as the estimation of its parameters. CSC
determinations were routinely obtained from 12 patients, of
whom six underwent continuous dialysis procedures and six
did not. The model incorporates a delay term ø,to be estimated, which expresses the number of days between the beginning of sepsis and ICU admission, allowing, in this way, a general representation of the time course of renal function depending on the history of sepsis. In order to take into account the effect of dialysis, a linear CSC elimination
rate was added in those days when dialysis therapy was
actually administered. Estimates of the model’s structural
parameters were computed for each patient by means ordi-
nary least squares and were then compared across dialysis groups. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4216388
- author
- De Gaetano, Andrea ; Cortese, Giuliana ; Pedersen, Morten Gram ; Panunzi, Simona ; Picchini, Umberto LU and Morelli, Andrea
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- mathematical models, creatinine, sepsis, renal function, differential equations, delay.
- in
- Cardiovascular Engineering: An International Journal
- volume
- 4
- issue
- 2
- pages
- 173 - 180
- publisher
- Springer
- external identifiers
-
- scopus:3042637409
- ISSN
- 1573-6806
- DOI
- 10.1023/B:CARE.0000031546.79563.bd
- language
- English
- LU publication?
- no
- id
- 18d0739b-8993-46e8-bb9b-06932b48a818 (old id 4216388)
- date added to LUP
- 2016-04-01 12:25:06
- date last changed
- 2022-01-27 03:27:28
@article{18d0739b-8993-46e8-bb9b-06932b48a818,
abstract = {{Serum creatinine is a metabolite assumed to be constantly<br/><br>
produced by the normally functioning muscle mass and is<br/><br>
a good measure for monitoring daily renal function in the<br/><br>
intensive care unit (ICU). High serum creatinine levels or an<br/><br>
abnormal departure from normal pre-disease basal levels<br/><br>
are indices of acute renal failure (ARF). Septic ICU patients<br/><br>
develop multi-organ failure and ARF is often an important<br/><br>
complication. In order to attempt to substitute artificially for<br/><br>
the failing renal function, septic ARF patients often undergo<br/><br>
hemodialytic procedures until kidney damage resolves. The<br/><br>
present work details the structure of a model describing ob-<br/><br>
served creatinine serum concentration (CSC) variations, de-<br/><br>
pending on the time-varying septic insult to renal function in<br/><br>
ICU patients, as well as the estimation of its parameters. CSC<br/><br>
determinations were routinely obtained from 12 patients, of<br/><br>
whom six underwent continuous dialysis procedures and six<br/><br>
did not. The model incorporates a delay term ø,to be estimated, which expresses the number of days between the beginning of sepsis and ICU admission, allowing, in this way, a general representation of the time course of renal function depending on the history of sepsis. In order to take into account the effect of dialysis, a linear CSC elimination<br/><br>
rate was added in those days when dialysis therapy was<br/><br>
actually administered. Estimates of the model’s structural<br/><br>
parameters were computed for each patient by means ordi-<br/><br>
nary least squares and were then compared across dialysis groups.}},
author = {{De Gaetano, Andrea and Cortese, Giuliana and Pedersen, Morten Gram and Panunzi, Simona and Picchini, Umberto and Morelli, Andrea}},
issn = {{1573-6806}},
keywords = {{mathematical models; creatinine; sepsis; renal function; differential equations; delay.}},
language = {{eng}},
number = {{2}},
pages = {{173--180}},
publisher = {{Springer}},
series = {{Cardiovascular Engineering: An International Journal}},
title = {{Modeling serum creatinine in septic ICU patients}},
url = {{http://dx.doi.org/10.1023/B:CARE.0000031546.79563.bd}},
doi = {{10.1023/B:CARE.0000031546.79563.bd}},
volume = {{4}},
year = {{2004}},
}