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Evaluation of the clinical efficacy of prokinetic drugs inthe management of post-operative ileus: Can retrospective
data help us?
M.A. Smith a,*, G.B. Edwards a, B.L. Dallap b, P.J. Cripps a, C.J. Proudman a
a Equine Division, Department of Veterinary Clinical Science and Animal Husbandry, University of Liverpool, Leahurst,
Neston, Wirral, Liverpool CH64 7TE, UKb University of Pennsylvania, New Bolton Center, 382 West Street Road, Kennett Square, PA 19348-1692, USA
Accepted 27 June 2004
Abstract
The objectives of the study were to determine whether retrospective data can be used to answer questions about the efficacy of
prokinetic agents when used to treat horses with post-operative ileus (POI). We describe prevalence and mortality of POI with ref-
erence to treatment with four prokinetic agents. By combining data from two Hospitals a study population of 55 horses with POI
following pedunculated lipoma obstruction (PLO) was established. Univariable and multivariable associations were determined
between short term survival and potential explanatory variables.
With death as outcome in multivariable models, breed and hospital were significantly associated with outcome but the use of
prokinetic agents was not (P = 0.15). However, sample size estimates indicate the low power of this study to detect differences in
outcome. It was not possible definitively to evaluate the efficacy of prokinetics as treatment for POI following PLO using retrospec-
tive data. The data were suggestive of limited efficacy of prokinetics as treatment for POI. It is postulated that the identified asso-
ciation between hospital and survival reflects differences in clinician decision making. The study highlights the need for further
prospective studies using randomised clinical trials to evaluate accurately the efficacy of prokinetic agents. This report illustrates
difficulties with performing retrospective analysis of clinical data to determine the efficacy of treatment regimes.
� 2004 Elsevier Ltd. All rights reserved.
Keywords: Pedunculated lipoma; Prokinetics; Ileus; Evidence based medicine
1. Introduction
The aetiopathogenesis of post-operative ileus (POI) is
only partly understood. The condition has been linked
with endotoxaemia, bowel distension, peritonitis, hypo-kalemia, anaesthetic agents and analgesics (Gerring and
Hunt, 1986; King and Gerring, 1988, 1991; Lester et al.,
1998; Merritt et al., 1998). Edwards and Hunt (1986)
first documented a 16.2% prevalence of ileus in all cases
undergoing gastrointestinal surgery over a 15 year
period. More recently, prevalences of 3% (Philips
and Walmsley, 1991), 21% (Blikslager et al., 1994) and
9.6% (Proudman et al., 2002) have been reported, and
a prevalence of 9% in a population of 63 horses under-going surgery for small intestinal lesions only has been
cited (Freeman et al., 2000).
It has recently been shown that horses suffering
from pedunculated lipoma obstruction (PLO) are at in-
creased risk of developing POI, being three times more
likely to suffer from POI compared with horses suffer-
ing from other intestinal pathology, odds ratio 3.2
(95% CI 1.3, 7.5) (French et al., 2002). We postulate
1090-0233/$ - see front matter � 2004 Elsevier Ltd. All rights reserved.
doi:10.1016/j.tvjl.2004.06.006
* Corresponding author. Tel.: +44 151 794 6041; fax: +44 151 794
6034.
E-mail address: [email protected] (M.A. Smith).
www.elsevier.com/locate/tvjl
The Veterinary Journal 170 (2005) 230–236
TheVeterinary Journal
that the PLO population is therefore a good clinical
model for evaluating the efficacy of prokinetics in treat-
ing POI.
Pharmacological studies have demonstrated that
dopaminergic and adrenergic hyperactivity may have a
key role in initiating POI. A number of studies providea pharmacological rationale for using metaclopramide
as an adrenergic and dopamine antagonist and cisapride
as an indirect cholinergic agent for the treatment of POI
(Hunt and Gerring, 1986; Gerring and Hunt, 1986;
Gerring and king, 1989). More recent research suggests
that the prokinetic action of metaclopramide is more
likely due to its action as a 5HT4 agonist (Doherty
and Frazier, 1998).Erythromycin has been shown to increase solid phase
gastric emptying significantly and is thought to exert
prokinetic effects via activation of motilin receptors
(Ringger et al., 1996) although other studies have shown
little effect of erythromycin on gastric emptying (Doh-
erty and Frazier, 1998) or intestinal motility (Roussel
et al., 2000) and the drug is reported to be ineffective
in man (Bonacini et al., 1993). The amide anaestheticlignocaine (lidocaine) is also administered as a proki-
netic agent, however the mechanism of action of this
drug has yet to be elucidated (Groudine et al., 1998).
None of the intestinal prokinetic agents mentioned
above has been subject to rigorous clinical efficacy trials.
Their use in horses suffering POI is based on personal
experience of clinicians and anecdote.
The aim of our study was to establish whether retro-spective clinical data can be used to evaluate the efficacy
of prokinetic drugs used in the treatment of POI. A sin-
gle category of surgical colic was chosen in order to
standardise the initiating insult and the population of
horses studied.
2. Materials and methods
The databases of two large equine referral centres
were reviewed and 81 horses diagnosed with PLO affect-
ing the small intestine identified from medical records at
Hospital 1 and 179 horses identified at Hospital 2 over
�15 and 10 year periods, respectively. Diagnosis in all
cases was confirmed during surgery or at post-mortem.
Two hundred and two horses taken to surgery wereidentified, 55 of which went on to develop POI.
Records were reviewed and a number of variables ex-
tracted for each horse. Signalment, heart rate, PCV,
amount of reflux obtained at admission and duration
of colic prior to presentation were recorded; the length
of intestine resected, anastomosis type performed,
outcome of surgery, time to first feed, duration of hospi-
talisation, occurrence of ileus and duration of post-operative reflux were ascertained where applicable.
The use of one or more of four prokinetic agents; meta-
clopramide, cisapride, erythromycin and lignocaine/
lidocaine was determined. The variable ‘‘prokinetics
Y/N’’ (Tables 3 and 4) included the following pharma-
cological agents: metaclopramide (n = 12), cisapride
(n = 5), lignocaine/lidocaine (n = 1), erythromycin (n =
2) and a combination of the four (n = 10). Twenty-fiveof 55 horses with POI did not receive a prokinetic agent.
Short term survival was defined as survival to discharge
from the hospital.
Post-operative ileus was defined as obtaining two or
more litres of gastric reflux on more than one occasion
when a nasogastric tube was passed. Post-operative sur-
vivors that were diagnosed as suffering from ileus were
identified. In addition, horses suffering ileus that sur-vived beyond three days post-operatively were identi-
fied. Horses that were later found to have ileus as a
result of a mechanical obstruction confirmed at a second
surgery or at post-mortem were excluded from the POI
population.
The following treatment regimes were used; at Hospi-
tal 1, cisapride was administered per rectum, in solution
with 5 mL DMSO at a dose of between 100 and 200 mg,q.i.d. according to the clinicians� discretion. Metaclopra-
mide was administered as 30 mg in 1 l of polyionic fluids
(0.06 mg/kg) administered as an intravenous (IV) infu-
sion over 1 h, q.i.d.
Erythromycin was administered as 1 g in 1 L of sterile
saline, given as an infusion over 1 h, q.i.d. At Hospital 2,
cisapride was administered intramuscularly (IM), at a
dose rate of 0.1 mg/kg TID and metaclopramide wasadministered by IV infusion at a rate of 0.04 mg/kg
every hour. Erythromycin was not used at Hospital 2.
Both hospitals administered lignocaine/lidocaine IV as
a loading bolus of 1.3 mg/kg given in polyionic fluids
over 15 min, followed by a maintenance infusion of
0.05 mg/kg/min. The choice of prokinetic used varied
according to the clinicians� preference. Standard post-
operative treatment protocols for the use of IV fluidtherapy, antibiotics and nonsteroidal anti-inflammatory
drugs were used in each hospital (White, 1990).
2.1. Statistical analysis
A sample size estimate was performed based on a lo-
gistic regression model and using the Egret Siz pro-
gramme in order to determine the power of the study,and to establish what size odds ratio our cohort would
allow us to detect. A single variable (use or not of proki-
netics) was used, assuming that 66% of cases survived,
with 50% of all horses in POI (n = 55) receiving proki-
netics. A critical probability of P < 0.05 was used. Our
study population of 55 horses with POI gave 80% power
for the detection of an odds ratio of >5 under the con-
ditions stated.Univariable analyses of data were performed using
Kruskal–Wallis or v2 tests to detect differences between
M.A. Smith et al. / The Veterinary Journal 170 (2005) 230–236 231
the two hospital populations, and between groups of
horses within each population. Continuous variables
were categorised using biologically justifiable cut-points
as determined from preliminary analyses. For example,
a step function was noted for heart rate at 66 bpm and
so this cut off was used to convert this variable intocategories. Univariable associations with survival for
55 horses suffering from POI were determined using lo-
gistic regression (EGRET). Variables demonstrating
some evidence of association with outcome (P < 0.2)
were carried forward into multivariable models. Multi-
ple logistic regression analysis with backwards elimina-
tion was performed to evaluate multivariable
relationships with death as the outcome of interestand to control for potential confounding variables.
Variables with a likelihood ratio test statistic P value
of <0.05 were considered to be significantly associated
with outcome. We explored the use of random effects
terms to control for variability due to surgeon or to
year of surgery. Neither term had any influence on
the final multivariable model, likely due to the small
sample size. Biologically plausible interaction termswere also analysed.
3. Results
3.1. Univariate analysis
Tables 1 and 2 indicate similarities and differences inthe PLO population at the two hospitals. Gender distri-
bution and median heart rate were similar between the
two hospitals. However, the median age of PLO cases,
breed distribution, PCV at presentation, volume of re-
flux at presentation, duration of colic prior to presenta-
tion, numbers euthanased intra-operatively, numbers
recovered from surgery, prevalence of POI and survival
to discharge were significantly different. These findingssuggest that the two hospital populations were not
similar.
3.2. Risk factors for survival following POI
Table 3 shows univariable associations with survival
in POI cases from both hospitals. Sex, breed, resection
length, use of prokinetics and hospital all showed someevidence of association with survival to discharge
(P < 0.2). These five variables were carried forward into
a multivariable logistic regression model. Sex and resec-
tion length were discarded from the model due to poor
fit. Our final multivariable model (Table 4) indicated
that breed and hospital were significantly associated
with outcome, with Thoroughbreds being more likely
to survive than ponies (P = 0.01), and horses at Hospital2 being at greater risk of death than horses at Hospital 1
(P = 0.01). Use of prokinetics was not significantly asso-
ciated with outcome (P = 0.15, OR 0.32, 95%; CI 0.07–
1.50).
To explore further the association of hospital with
outcome, given that there were differences between hos-
pitals in the numbers of horses euthanased very early on
in the post-operative period (Table 2), a second model
was run using only those horses in POI which survived
beyond three days in order to rule out treatment bias.The rationale for this was: at Hospital 1 a greater pro-
portion of horses were subjected to intra-operative
euthanasia than at Hospital 2 and we hypothesised that
this removed the sickest horses from the post-operative
population at Hospital 1. Hospital 1 also had the highest
prevalence of prokinetic use. At Hospital 2 more horses
were euthanased in the early post-operative period, com-
monly without prokinetics being used. The three day cutoff point removed from the analysis sick horses that
were euthanased early in the post-operative period irre-
spective of the use of prokinetics. In this second model,
use of prokinetics was not significantly associated with
outcome (P = 0.43, OR = 0.50, 95% CI 0.09–2.78), how-
ever Hospital was (P = 0.02, OR = 16.4, 95% CI 1.65–
163.86).
An interaction term between breed and the use ofprokinetics was not significant (P = 0.98). We were
Table 1
Inter-Hospital comparison of clinical data at presentation of 260
horses with PLO
Variable Hospital 1
(n = 81)
Hospital 2
(n = 179)
P-value
Gender
M 24 64
G 55 109
S 2 6 0.67
Breed
TB/TBX 29 36
Cob 3 26
Arab/AX 10 17
Pony 5 68
QH 17 0
Other 17 10
Unknown 0 22 <0.01
Median age (years) 19 17 <0.01
Median heart rate
at presentation
60 bpm 60 bpm 0.81
Median PCV at
presentation
39% 43% 0.05
Median volume of reflux
at presentation
2 l 0 l <0.01
Duration of colic
prior to presentation
8 h 13 h <0.01
The null hypothesis was tested for each variable using v2 analysis forcategorical data and Kruskall–Wallis test for continuous data. A
critical probability of P < 0.05 was assumed. Key: M = mares,
G = geldings, S = stallions, AX = Arab cross, TB = thoroughbred,
TBX = thoroughbred cross, QH = quarter horse, PCV = packed cell
volume.
232 M.A. Smith et al. / The Veterinary Journal 170 (2005) 230–236
Table 2
Outcome of surgery for 249 horses with PLO that underwent general anaesthesia
Hospital 1 (n = 70) Hospital 2 (n = 179) P-value
Euthanased intra-operatively 18 (22%) 19 (10.5%) 0.01
Euthanased in recovery 2 (3%) 8 (4.5%) 0.44
Recovered from surgery 50 (62%) 152 (85%) <0.01
Prevalence of ileus 20 (40%) 35 (23%) 0.01
Mean time to first feed (h) 48 53 0.85
Duration of hospitalisation (days) 10.5 (median) 9 (median) 0.11
Duration of post-op reflux (h) 30 (median) 36 (median) 0.47
Survival to discharge 48 (59%) 119 (66.5%) 0.03
The null hypothesis was tested for each variable using v2 analysis for categorical data and Kruskall–Wallis test for continuous data. A critical
probability of P < 0.05 was assumed.
Table 3
Univariable associations with survival for 55 horses suffering from POI (continuous variables categorised)
Variable Survived n Died n Odds ratio 95% Confidence interval v2 P-value
Age
618 20 13 1
>18 14 8 0.88 0.30–2.68 0.82
Sex
Female 10 10 1
Male 24 11 0.46 0.15–1.42 0.18
Breed
Pony 3 9 1
TB/TBx 13 2 0.05 0.01–0.37
QH 6 1 0.06 0.01–0.67
Other 12 7 0.25 0.05–1.20 <0.01
HR at presentation
666 bpm 15 11 1
>66 bpm 15 10 0.91 0.30–2.78 0.87
PCV at presentation
645% 16 9 1
>45% 13 12 1.64 0.53–5.09 0.39
Duration of colic
611 h 15 5 1
>11 h 17 11 1.94 0.55–6.88 0.31
Reflux on admission
62 l 20 16 1
>2 l 13 5 0.48 0.14–1.63 0.24
Resection length
67 feet 20 8 1
>7 feet 13 12 2.31 0.74–7.18 0.15
Anastomosis type
Jej-jejunostomy 15 7 1
Jej-caecostomy 15 14 2 0.63–6.35 0.24
Prokinetics
No 11 14 1
Yes 23 7 0.24 0.08–0.76 0.01
Hospital
1 19 1 1
2 15 20 25.33 3.04–210.94 <0.01
Key: TB = thoroughbred; QH = quarter horse; HR = heart rate; PCV = packed cell volume.
M.A. Smith et al. / The Veterinary Journal 170 (2005) 230–236 233
unable to fit interaction terms between hospital and
prokinetics as no fatalities were recorded in hospital
one�s horses receiving prokinetics, thus resulting in zero
cells in this group.
4. Discussion
The population of horses with PLO was chosen for
this retrospective study because it allowed POI to be
studied in a group of horses with similar intestinal
pathology. In each case a definitive diagnosis could be
made and ischaemia of small intestine had probably oc-
curred, resulting in exposure to endotoxin, although to
varying degrees. Resection of small intestine was per-
formed in 139 (83%) of 167 horses that survived to dis-charge, supporting the assumption that irreversible
changes in intestinal viability were identified at surgery
in the majority of horses. A high correlation between
the incidence of POI and the presence of ischaemic gut
has been reported (King and Gerring, 1991). Approxi-
mately two thirds of both PLO populations were geld-
ings, and the condition affected older animals. These
findings are in agreement with a previous report (Ed-wards and Proudman, 1994). The consistent age and
sex distribution of this population of surgical colic pa-
tients over the past decade gives support to our selection
of this group as a stable group for evaluation of post-
operative treatment protocols.
The prevalence of POI following PLO at both hospi-
tals in this study (42% and 23% at Hospitals 1 and 2,
respectively) is considerably higher than values reportedin the literature for surgical correction of small intestinal
pathology in general (Blikslager et al., 1994 (21%); Ed-
wards and Hunt, 1986 (16%); Philips and Walmsley,
1991 (3%)). This is supported by findings in a recent
study of post-operative complications of colic surgery
where horses recovering from PLO were found to be
three times more likely to suffer POI than horses with
other lesions (French et al., 2002). This finding again
supports our use of this group of colic patients for eval-
uation of POI.
Data were collected from two large referral hospitals
in order to maximise study power, however sample size
estimates show that in spite of combining two large data
sets acquired over a long time period this study was onlyable to detect odds ratios of >5 with 95% confidence and
80% power. This shows clearly that the statistical power
of our study was low. Univariable analysis showed that
there were significant differences in age, breed, volume
of reflux at presentation and duration of colic prior to
presentation at the two hospitals indicating marked dif-
ferences between the two populations studied.
We have addressed the issue of confounding by thesevariables by the use of multivariable analysis. Any ben-
efit obtained by adding additional hospital populations
to the study in an attempt to increase power would
clearly be offset by increased variability between the hos-
pital populations, however this is the only means of
increasing study power using retrospective data. Inclu-
sion of more hospital populations may provide a better
representation of variation between them. We have goneon to combine the two populations in order to achieve
maximum study power with the data available, but have
had to accept limitations in interpretation of the results.
Our final model offered no evidence to support the asso-
ciation between prokinetic use and survival but low
study power limits the interpretation of this negative
finding.
To date, the only critical evaluation of pharmacolog-ical intervention in clinical cases with POI has been that
of Dart et al. (1996). This retrospective study demon-
strated reduced incidence and severity of POI in 70
horses undergoing small intestinal resection and anasto-
mosis when metaclopramide was given as a continuous
infusion. Metaclopramide was used as part of the rou-
tine post-operative management in 44 horses but differ-
ences in survival between treatment groups were notstatistically significant (Dart et al., 1996).
One case series reports that the use of cisapride post-
operatively in 42 colic patients was beneficial given that
POI was seen in only two horses (DeGeest et al., 1991),
however only 18/42 horses had identifiable small intesti-
nal pathology at surgery and only 10 appear to have suf-
fered from a strangulating lesion of small intestine. A
multicentre trial reported that of 81 horses treated withcisapride, POI was prevented in 57 cases, and the
authors concluded that the drug was highly efficacious
in preventing idiopathic ileus (Gerring et al., 1991).
Whilst all horses in the study had suffered small intesti-
nal pathology, only 43 horses suffered a strangulating le-
sion of small intestine. Cisapride was judged to be
ineffective in preventing POI in 7% of the horses, and
this value is similar to values reported for prevalenceof POI in populations undergoing small intestinal
surgery that do not receive prokinetics, for example
Table 4
Parameter estimates for final multivariable model for 55 horses
suffering from POI (outcome = death)
Variable Odds ratio 95% Confidence interval LRS P-value
Breed
Pony 1
TB/TBx 0.06 0.01–0.53 0.01
Other 0.22 0.03–1.41 0.11
Prokinetics
No 1
Yes 0.32 0.07–1.50 0.15
Hospital
1 1
2 28.12 2.65–298.50 0.01
LRS = likelihood ratio statistic.
234 M.A. Smith et al. / The Veterinary Journal 170 (2005) 230–236
Freeman et al. (2000) reported a prevalence of 9% in 63
horses undergoing small intestinal surgery.
Elective euthanasia was performed on more horses
intra-operatively at Hospital 1 compared with Hospi-
tal 2, however at Hospital 2 elective euthanasia was
performed more often in the early post-operative per-iod. This created a potential source of treatment bias
when combining the data. In order to remove the
leverage exerted by the sickest horses (those euthan-
ased in the early post-operative period) irrespective
of the use of prokinetics, a three day cut off point
was used. When trying to assess the effectiveness of
use of prokinetics in the post-operative period only
those horses surviving beyond three days post surgerywere analysed in the second multivariable model. In
this model the use of prokinetics was not significantly
associated with decreased risk of death (P = 0.43),
however Hospital remained significantly associated
with outcome, with horses at Hospital 2 remaining
at increased risk of death compared with those at
Hospital 1 (P = 0.02, OR = 16.4, 95%; CI 1.65–
163.86).We conclude that despite standardising the study
population by selection of one group of surgical colic
patients, maximising case numbers by combining data
from two large referral hospitals, and performing multi-
variable analysis to control for confounding, we are un-
able to answer the question regarding the efficacy of
prokinetics as treatment for POI following PLO using
our retrospective data. More hospitals and a corre-spondingly larger data set are needed before we can con-
clude that retrospective analysis is not useful to answer
our hypothesis. We believe that these data are suggestive
of limited efficacy of prokinetics as treatment for POI,
however there were too many different prokinetics used
and too many different treatment strategies used to be
able to draw a definite conclusion. We have identified
breed and hospital as major sources of variability inpost-operative survival and postulate that the associa-
tion between hospital and survival reflects differences
in clinician decision making between the two hospitals.
This report highlights some of the difficulties encoun-
tered when performing retrospective analysis of clinical
data, and emphasises the need for prospective clinical
trials in order to better assess efficacy of treatment with
prokinetic agents.
Acknowledgement
Meredith Smith was funded by the Home of Rest for
Horses. We thank colleagues at the George D. Widner
large Animal Hospital, University of Pennsylvania,
USA, and the Philip Leverhulme Large Animal Hospi-tal, University of Liverpool, U.K. The colic database
at the University of Liverpool has been supported by
the Home of Rest for Horses and PetPlan Charitable
Trust.
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Book review
P. Durr, and A. Gatrell (Eds.), GIS and Spatial Analysis
in Veterinary Science, Wallingford, CABI Publishing,
2004, ISBN 0851996345, p. 320, £60
This multi-authored book came about as a result of
the first GISVet conference held at Lancaster University
in September 2001. Following the conference a special
issue of Preventive Veterinary Medicine (2002, Volume56, Issue 1) was published that included a selection of
the original research papers presented at the conference.
This book contains revised and expanded versions of
several of the papers delivered at the conference as well
as one additional invited contribution.
The book is divided into three parts that explore the
use of spatial statistical analysis and geographical infor-
mation systems (GIS) in a veterinary context. The firstsection contains two chapters that introduce the topic
and cover basic concepts and principles with veterinary
examples. Chapter 1, ‘‘The Tools of Spatial Epidemiol-
ogy: GIS, Spatial Analysis and Remote Sensing’’ gives
an excellent introduction to the topic and basic principles
with several easy to understand veterinary examples.
This chapter ends with an overview of the remaining
chapters in the book. Chapter 2, ‘‘Spatial Epidemiology
and Animal Disease: Introduction and Overview’’ extends
the concepts presented in the first chapter and applies
them to veterinary epidemiology using bovine spongi-
form encephalopathy, bovine tuberculosis and multi-
drug-resistant Salmonella newport as examples.
The second section also contains two chapters that
look at the broader context of GIS and spatial statistics
in biomedical and human public health fields. Chapter 3,
‘‘Geographical Information Science and Spatial Analysis
in Human Health: Parallels and Issues for Animal Health
Research’’ does exactly as the title suggests! Chapter 4,
‘‘Spatial Statistics in the Biomedical sciences: Future
Directions’’ discusses the application of advanced spatial
statistical methodology to health issues.
The third section contains six chapters that deal with
the application of GIS and spatial analysis to a varietyof areas in the veterinary field, including a general ap-
proach to animal health and disease surveillance, parasi-
tology, modelling the spatial and temporal spread of
animal diseases, companion animal epidemiology, epi-
demic disease response and the management of wildlife
diseases. These final chapters all contain excellent exam-
ples that illustrate the application presented in each
chapter.Each chapter includes a list of references and there is
also an appendix at the end of the book that provides an
excellent overview of GIS and spatial analysis resources.
The appendix contains information and advice on soft-
ware, obtaining spatial data and the GISVet Website
(http://www.gisvet.org). This book provides both a basic
introduction to the concepts as well as in-depth coverage
of a large breadth of topics that make it a valuable ref-erence for those with an interest in applying these meth-
ods in veterinary science.
Vicki J. Adams
Small Animal Epidemiologist, Animal Health Trust
Lanwades Park, Kentford, Newmarket
Suffolk CB8 7UU, UK
E-mail address: [email protected]
doi:10.1016/j.tvjl.2005.02.021
236 M.A. Smith et al. / The Veterinary Journal 170 (2005) 230–236