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Modeling serum creatinine in septic ICU patients

De Gaetano, Andrea; Cortese, Giuliana; Pedersen, Morten Gram; Panunzi, Simona; Picchini, Umberto LU and Morelli, Andrea (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:
author
publishing date
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
2014-01-13 15:17:06
date last changed
2017-01-01 05:07:34
@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},
  keyword      = {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},
  volume       = {4},
  year         = {2004},
}