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                  <text>DOI: 10.7589/JWD-D-21-00202

Journal of Wildlife Diseases, 58(4), 2022, pp. 803–815
Ó Wildlife Disease Association 2022

CAUSE OF DEATH, PATHOLOGY, AND CHRONIC WASTING DISEASE
STATUS OF WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS)
MORTALITIES IN WISCONSIN, USA
Marie L. J. Gilbertson,1,8 Ellen E. Brandell,1 Marie E. Pinkerton,2 Nicolette M. Meaux,1 Matthew
Hunsaker,1,3 Dana Jarosinski,3,4 Wesley Ellarson,3 Daniel P. Walsh,5 Daniel J. Storm,6 and
Wendy C. Turner7

ABSTRACT:

White-tailed deer (WTD; Odocoileus virginianus) are a critical species for ecosystem
function and wildlife management. As such, studies of cause-specific mortality among WTD have long
been used to understand population dynamics. However, detailed pathological information is rarely
documented for free-ranging WTD, especially in regions with a high prevalence of chronic wasting
disease (CWD). This leaves a significant gap in understanding how CWD is associated with disease
processes or comorbidities that may subsequently alter broader population dynamics. We investigated
unknown mortalities among collared WTD in southwestern Wisconsin, USA, an area of high CWD
prevalence. We tested for associations between CWD and other disease processes and used a network
approach to test for co-occurring disease processes. Predation and infectious disease were leading
suspected causes of death, with high prevalence of CWD (42.4%; of 245 evaluated) and pneumonia
(51.2%; of 168 evaluated) in our sample. CWD prevalence increased with age, before decreasing among
older individuals, with more older females than males in our sample. Females were more likely to be
CWD positive, and although this was not statistically significant when accounting for age, females were
significantly more likely to die with end-stage CWD than males and may consequently be an
underrecognized source of CWD transmission. Presence of CWD was associated with emaciation,
atrophy of marrow fat and hematopoietic cells, and ectoparasitism (lice and ticks). Occurrences of
severe infectious disease processes clustered together (e.g., pneumonia, CWD), as compared to
noninfectious or low-severity processes (e.g., sarcocystosis), although pneumonia cases were not fully
explained by CWD status. With the prevalence of CWD increasing across North America, our results
highlight the critical importance of understanding the potential role of CWD in favoring or maintaining
disease processes of importance for deer population health and dynamics.
Key words: Comorbidity, co-occurrence, ectoparasitism, infectious disease, necropsy, nutritional
condition, pneumonia.

INTRODUCTION

White-tailed deer (Odocoileus virginianus;
WTD or deer hereafter) are a critical species
for ecosystem dynamics (Rooney and Waller
2003), cultural practices (Holsman et al. 2010;
Reo and Whyte 2012; Arnett and Southwick
2015), human subsistence (Reo and Whyte
2012), and funding for management and

conservation organizations (Arnett and Southwick 2015; Hewitt 2015). Given the ecological,
cultural, and economic importance of WTD,
understanding deer population dynamics is
important to inform sustainable management
practices. Of particular interest is the study of
cause-specific mortality, which has been
evaluated extensively (e.g., Whitlaw et al.
1998; DelGiudice et al. 2002; Carstensen et

803

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1
Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology, University of Wisconsin–
Madison, 1630 Linden Dr., Madison, Wisconsin 53706, USA
2
Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin–Madison, 2015 Linden
Dr., Madison, Wisconsin 53706, USA
3
Wisconsin Department of Natural Resources, 1500 N Johns St., Dodgeville, Wisconsin 53533, USA
4
Warnell School of Forestry and Natural Resources, University of Georgia, 180 E Green St., Athens, Georgia 30602,
USA
5
US Geological Survey, Montana Cooperative Wildlife Research Unit, University of Montana, 32 Campus Drive, NS205,
Missoula, Montana 59812, USA
6
Wisconsin Department of Natural Resources, 1300 W Clairemont Ave., Eau Claire, Wisconsin 54701, USA
7
US Geological Survey, Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology,
University of Wisconsin–Madison, 1630 Linden Dr., Madison, Wisconsin 53706, USA
8
Corresponding author (email: mgilbertson5@wisc.edu)

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JOURNAL OF WILDLIFE DISEASES, VOL. 58, NO. 4, OCTOBER 2022

deer populations: Zhu et al. 2021 reported no
positive CWD cases; other reports are often
from captive animals or are case reports of
small numbers of free-ranging individuals
(Williams and Young 1980; Wolfe et al.
2014; Benestad et al. 2016). In wild settings,
disease co-occurrences may affect the nature
and duration of the clinical phase of CWDinfected deer. Uncertainties regarding the
comorbidities associated with CWD in freeranging deer populations leave significant
gaps in understanding population-level disease dynamics for both CWD and potentially
associated disease processes.
We report on mortality, pathology, and
disease process trends in free-ranging WTD
in southwestern Wisconsin, USA, a region of
high CWD prevalence (.40%; Wisconsin
Department of Natural Resources 2020).
Our objectives were to (1) determine common
causes of death among deer by age class, sex,
and time of year; (2) identify associations
between deer demographics and CWD status
and disease stage; and (3) test for associations
between CWD and other disease processes.
We hypothesized that CWD infection would
be associated with poor nutritional condition
and the presence of other infectious diseases.
MATERIALS AND METHODS
Sampling and necropsies

In Wisconsin, CWD was first detected in the
southwest in 2001 (Joly et al. 2003); the subsequent two decades of research have focused on
understanding CWD transmission dynamics, surveillance, and control. As part of these research
efforts, the Wisconsin Department of Natural
Resources, in collaboration with more than 300
landowners, captured 1,157 individual WTD from
2017 to 2020. Of these, 763 (452 female, 311
male) deer .8 mo old at capture were fitted with
GPS collars; 323 (168 female, 155 male; 21 later
recaptured as adults) neonate deer were fitted
with VHF collars. Captures occurred in the
CWD-endemic areas of Iowa, Grant, and Dane
counties in southwestern Wisconsin from December to March each year. Deer were captured
using a combination of clover traps, drop nets, box
traps, and darting, and chemically immobilized
with intramuscular injections of BAM (27.3 mg/
mL butorphanol þ 9.1 mg/mL azaperone þ 10.09
mg/mL medetomidine; ZooPharm, Laramie, Wy-

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al. 2009). Specific investigation of the underlying disease processes at the time of death in
deer is relatively understudied, particularly for
free-ranging deer. This creates a gap in
knowledge regarding the specific disease
processes contributing to mortality that could
be mitigated or managed to promote healthier
deer populations.
A few studies have used necropsy to
characterize underlying disease processes
and lesions among deer mortalities. In one
such study of free-ranging WTD, bacterial
infections, trauma, and nutritional deficits
were the most common causes of death (Zhu
et al. 2021). Among captive and free-ranging
deer, pneumonia has been a leading infectious
cause of death (Hattel et al. 2004; Haigh et al.
2005; Zhu et al. 2021), but without extensive
tracking of individual deer (e.g., by GPS
collaring), quickly recovering deceased animals for in-depth pathological assessment is
extremely limited for free-ranging deer.
The gap in knowledge regarding deer
pathological processes is particularly critical
in light of the increasing prevalence of chronic
wasting disease (CWD) in North American
cervids. Pathological abnormalities of CWDinfected deer have been described, generally
through observations of captive deer in
research facilities (e.g., wasting, neurologic
deficits; Williams et al. 2002). The rates and
associations of CWD-associated abnormalities
or lesions with other disease processes have
not been explored. Because CWD weakens its
hosts relatively slowly (clinical course in WTD
typically 4 mo; Williams 2005), secondary
disease processes—for example, aspiration
pneumonia secondary to CWD-induced neurologic deficits (Williams and Young 1980,
1992; Williams and Miller 2002; Williams
2005)—may be expected to cause mortality in
CWD-infected animals (i.e., proximate cause
of death). Similarly, CWD-induced wasting,
through alterations in host behavior or immune response, may make deer more susceptible to other infectious diseases such as
transmissible respiratory or gastrointestinal
(GI) disease (Sánchez et al. 2018). Reports
are lacking on the relationship between CWD
and other disease processes in free-ranging

�GILBERTSON ET AL.—WHITE-TAILED DEER PATHOLOGY AND CHRONIC WASTING DISEASE

attempt to identify etiologic agents. All findings
were compiled in formal diagnostic necropsy
reports.
Field necropsies were performed by the field
team and, although less extensive than laboratory
necropsies, were still able to identify gross
abnormalities or indications of infection or
trauma; nutritional condition based on presence
or absence of fat including epicardial and
pericardial, perirenal, and bone marrow; and
presence or absence of readily apparent parasites
(e.g., nasal bots, ticks, lice). Limited evaluations,
depending on availability of tissues and assessment of the scene of the mortality, included
suggested causes of death.
All mortalities with available lymphoid or brain
tissues underwent post-mortem CWD testing via
immunohistochemistry. Ages of deceased individuals were estimated based on age estimates at
capture and the estimated date of death. At
capture, adult deer ages were estimated by tooth
wear (n¼18; conservatively assumed age of 2 yr at
capture) or incisor cementum annuli (n¼96;
Storm et al. 2014); ages at capture were apparent
for neonates and most juveniles and yearlings
based on body size and tooth wear and emergence
(one juvenile and 19 yearlings had ages verified by
cementum annuli).
Laboratory, field, and limited necropsy results
were digitized in a Microsoft Access database.
These data (Gilbertson et al. 2022) included
individual nutritional condition, presence, or
apparent absence of pathological processes (e.g.,
GI lesions, infectious diseases), and characteristics
of detected lesions or disease processes. The
suspected cause of death for each mortality was
categorized broadly as infectious, predation,
trauma (e.g., vehicle strike, hay cutter injury,
capture-associated), nutritional, unrecovered kill,
mixed (unclear mixture of multiple probable
causes of death), or unknown, based on the
predominant process suspected of leading to
death. While capture-associated injuries should
not be considered a population-level mortality, as
fresh carcasses these individuals provide important pathological information. The ‘‘nutritional’’
cause of death represented distinct starvation
processes (i.e., as may be experienced by neonates) and was therefore not intended to represent CWD-induced emaciation.
Statistical analyses

We conducted several analyses to examine
CWD trends and disease process associations; all
analyses were conducted in R v3.6.3 (R Core
Team 2018). Analyses evaluated only individuals
with relevant data for a specific analysis, unless
otherwise specified; all analyses, hypotheses, and
sample sizes per test are given in Supplementary

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oming, USA; 1–2 mL based on deer age and body
weight; Miller et al. 2009). During captures, deer
were monitored via rectal temperature, respiratory and heart rates, and capillary refill time. Deer
were subsequently partially reversed with atipamezole (25 mg/mL, ZooPharm, with 25 mg
atipamezole administered per 10 mg of medetomidine). Deer capture and handling protocols
were approved under Wisconsin Department of
Natural Resources’s Animal Care and Use Committee (Protocol 16-Storm-01).
Biological samples were collected (e.g., ear
punches, rectal lymphoid tissue) and individual
data recorded (e.g., sex, age, standard body
measurements) during captures. Collared deer
were monitored until death or collar failure, with
collars providing a mortality signal based on lack
of collar motion. When a mortality signal was
detected, field teams attempted to locate the
carcass and recorded the conditions of the
mortality as soon as possible, usually within 24 h
of detection of the mortality signal. Neonate VHF
collars were monitored daily through August each
capture year, then weekly; detection of mortality
signals from VHF collars could therefore potentially be delayed, compared to GPS collars.
Generally, intact carcasses for which the cause
of death was uncertain were submitted for a full
laboratory necropsy at the UW-Madison School of
Veterinary Medicine (UW-SVM). Partially intact
carcasses (e.g., moderate decomposition, scavenging) underwent a field necropsy. Limited evaluation or no analysis was performed in instances in
which the cause of death was immediately evident
(e.g., some vehicle strikes) or when too little
carcass material was available for further assessment (e.g., extensive scavenging). Hunter harvested animals were not included in necropsy
assessment, although unrecovered kills were
evaluated when identified.
Laboratory necropsies at the UW-SVM were
performed or supervised by board-certified veterinary anatomic pathologists with protocol development and necropsy oversight by a single
pathologist (M.E.P.). They included a full gross
examination of all body systems, including evaluation of nutritional condition (based on muscle
atrophy and overall body fat including subcutaneous, epicardial/pericardial, perirenal, and bone
marrow), and evaluation of ecto- and endoparasites; collection and formalin fixation of a complete tissue set including gross lesions; and
histologic evaluation of major organs and gross
lesions. For histologic examination, tissues were
fixed in 10% neutral buffered formalin, embedded
in paraffin, sectioned at 4 lm, and stained with
H&amp;E; tissue sections with suspected bacterial
infection were also stained with Brown-Hopps
Gram stain. When a bacterial infectious agent was
suspected, aerobic cultures were performed to

805

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JOURNAL OF WILDLIFE DISEASES, VOL. 58, NO. 4, OCTOBER 2022

nary abscess (Fountain-Jones et al. 2019; see
Supplementary Material for additional details). To
determine if particular disease processes or
lesions in the network were more likely to cooccur, we performed a community or cluster
detection analysis using a random walk algorithm
with three steps (‘cluster_walktrap’ function in
igraph package in R v3.6.3; Csardi and Nepusz
2006; R Core Team 2018). To maintain the
maximum number of recorded lesions, we retained all deer in our dataset (n¼433), and missing
data were set to zero (acted as ‘‘no detected cooccurrence’’), but we repeated this analysis with
the subset of deer with full data (n¼51) to ensure
our results were not biased by missing data.
RESULTS
Suspected causes of death and lesions

In total, 1,065 unique WTD were captured
and collared; of these, at the time of analysis,
645 (60.5%) had died, 278 (26.1%) were lost
to follow-up (e.g., collar failed), and 142
(13.3%) were still alive. We evaluated 433
WTD mortalities (424 collared individuals); of
the remaining known mortalities (n¼221), 199
(90.0%) were known to be harvest mortalities.
Recovery of deceased collared individuals that
were candidates for necropsy was therefore
very high (95.1%). Of the mortalities evaluated (Table 1), 141 received full laboratory
necropsies, 116 field necropsies, and 176
received limited evaluation.
Predation and infectious disease were the
top suspected causes of death, followed by
trauma (Figs. 1, Supplementary Material Fig.
S1); note that harvest-associated mortalities
are not represented in our results. The most
common cause of mortality among deer ,1 yr
of age was predation (Fig. 1). Mortalities
peaked in May–July, with an additional
smaller peak in February–March. The majority of May–July mortalities were among
individuals ,1 yr old; February–March mortalities were more broadly distributed among
age classes (Fig. 1).
Among mortalities with post-mortem CWD
tests (n¼245), 42.4% were CWD-positive. We
found CWD-positive deer in all age classes,
including ,1 yr. There was a trend toward
increasing CWD prevalence with increasing
age that peaked at approximately 6 yr old,

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Material Table S1. To examine demographic
effects on CWD status, we performed logistic
regression for CWD status by deer sex and age.
For this analysis, we focused on the subset of
CWD-tested individuals with age estimates based
on initial capture as neonates, juveniles, or
yearlings, or based on tooth cementum annuli
(n¼227), and rounded ages at death to the nearest
year. We treated age as a continuous variable,
which was modeled using a second order polynomial.
To identify potential relationships between
CWD status and the presence or apparent
absence of individual disease processes, we used
Fisher exact tests with simulated P values (5000
replicates) and a Bonferroni correction for
multiple comparisons. To ensure consistency
across necropsy types, we kept individual disease
process classifications broad (e.g., ‘‘any pneumonia’’), but screened for associations with CWD
among top relevant subclassifications (e.g., ‘‘bronchopneumonia’’). All Fisher tests were performed
on the subset of individuals greater than 1 yr old
at death, because individuals under 1 yr old were
considered least likely to experience even subclinical effects of CWD. In addition, we tested for
differences in nutritional condition (determined
based on presence or absence of body fat during
necropsy) by CWD and pneumonia status. To
account for potential variation in classification
among different pathologists or field team observers, we condensed nutritional condition as
recorded in necropsies into three general categories: good (‘‘excellent’’ or ‘‘good’’), fair (‘‘fairgood,’’ ‘‘fair,’’ or ‘‘poor-fair’’), and poor (‘‘poor’’ or
‘‘severe-poor’’). We performed ordinal logistic
regression for nutritional condition as a function
of CWD and pneumonia status, including an
interaction between the two disease processes.
We used logistic regression to test for differences
in the stage of CWD clinical progression between
infected male and female deer, accounting for
age. We defined CWD-positive deaths as end
stage (severe or poor nutritional condition with
moderate to severe bone marrow fat atrophy) or
non-end stage (fair to excellent body condition
with zero to moderate bone marrow fat atrophy).
Due to limited sample sizes, here we broadly
classified deer ages as ‘‘subadult’’ (age estimates
under 2 yr), ‘‘adult’’ (2–7 yr), and ‘‘senior’’ (�8
yr).
To test for co-occurrences of disease processes
beyond pairwise associations, we also generated
co-occurrence networks among 10 key disease
processes or lesions: CWD; bronchopneumonia
and pneumonia; mixed or other pneumonias (e.g.,
interstitial; mutually exclusive from bronchopneumonia and pneumonia); emaciation; GI lesions;
cardiac lesions; ectoparasites; pulmonary nematodes; skeletal muscle sarcocystosis; and pulmo-

�GILBERTSON ET AL.—WHITE-TAILED DEER PATHOLOGY AND CHRONIC WASTING DISEASE

TABLE 1. Overview of white-tailed deer (Odocoileus
virginianus) necropsies performed in southwest Wisconsin, 2017–21, by age, sex chronic wasting disease
(CWD) status, year, and type of necropsy.a
Necropsy
Characteristic

a

Field

Limited

Total

85
56

62
54

93
79

240
189

47
25
65

46
19
51

101
32
43

194
76
159

62
52

47
30

32
22

141
104

29
34
44
28
2

9
17
50
31
9

19
52
76
26
3

57
103
170
85
14

Some mortalities were missing data, so totals do not align across
all strata. In addition, not all individuals were evaluated in each
analysis; see Supplementary Table S1 for an overview of sample
size per analysis.

then declined at older ages (Table S2 and Fig.
S2). In addition, there were more older
females than males in our sample (Fig. 2),
which is consistent with previously observed
sex and age distributions in this region (Storm
et al. 2014). Hence, female deer were 1.60
times more likely to be CWD-positive than
males among our sample (95% confidence
interval [CI], 0.85–3.03; P¼0.14), though this
difference was not statistically significant
when accounting for age (Table S2).
Of the 168 mortalities in which lung
pathology could be evaluated, 86 (51.2%)
were diagnosed with some form of pneumonia; the majority of these (59.3%) were classed
as moderate to severe in grade. Bronchopneumonia was the most common type of pneumonia identified, and lesions were most often
multifocal and/or cranioventral (Fig. S3). The
etiologic agents for pneumonia cases were
typically unclear. In only 15 cases were
etiologic agents identified to bacterial genus

or species; most were mixed infections, but in
all 15 cases Trueperella pyogenes was identified. Bibersteinia trehalosi, Pasteurella multocida subsp. multocida, Escherichia coli, an ahemolytic Streptococcus sp., and Serratia
marcescens were also identified, although the
last three were most likely contaminants.
Among etiologic agents confirmed histologically but not detected via bacterial culture,
coccobacilli were most commonly identified
(12 cases).
In addition to CWD and pneumonia cases,
necropsies identified a range of additional
pathological processes (Table S3). Pulmonary
abscesses were identified in 18.4% of individuals evaluated (of n¼147 evaluated). Hematopoietic atrophy was generally evaluated when
expected to be abnormal based on the gross
appearance of bone marrow (n¼49) and was
therefore identified in 49% of examined
individuals. Cardiac abnormalities were identified in 43.8% of evaluated deer (n¼169). Of
these, 41.9% included a description of hemorrhage, which is a nonspecific and often
nonclinical finding, but 29.7% included myocardial degeneration or necrosis. Gastrointestinal lesions were noted in 35.9% of
individuals (n¼153), and these cases were
typically inflammatory lesions (e.g., enterocolitis). A parasitic origin for inflammatory GI
lesions was present in at least one case
(haemonchosis), and GI nematodiasis was
independently present (i.e., not specifically
associated with inflammatory lesions) in at
least seven cases. Ectoparasitism, in the form
of lice and/or ticks, was noted in 22.5% of
evaluated individuals (n¼138). Pulmonary
nematodiasis and skeletal muscle sarcocystosis
were identified histologically in 45.5% and
65.2% of evaluated individuals, respectively
(n¼121 and n¼115); both were typically
classed as mild or minimal.
CWD associations and disease process clustering

Fisher exact tests identified significant
associations between CWD status and the
presence of emaciation and atrophy of bone
marrow fat, with tentative associations
(P,0.05, but not significant with Bonferroni

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Sex
Female
Male
Age class at death
,1
1–2
.2
CWD status
post-mortem
Negative
Positive
Year
2017
2018
2019
2020
2021

Laboratory

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JOURNAL OF WILDLIFE DISEASES, VOL. 58, NO. 4, OCTOBER 2022

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FIGURE 1. Counts of (A) month of Wisconsin white-tailed deer (Odocoileus virginianus) mortality by
estimated age class and (B) mosaic plot showing cause of death (COD) conditional on age class, with shading by
sex. In (B), major causes of death are shown as colors where the height of the color bar represents the proportion
of that age and sex class that died from a given cause. The width of the shaded bars within each age class shows
the sex proportions (female ¼ light, male ¼ dark). Sample size is denoted at the bottom of each age class column.
Ages were binned for visualization purposes. Note that ‘‘Predation’’ ¼ mortality due to predation event;
‘‘Infectious’’ ¼ mortality due to infectious disease; ‘‘Trauma’’ ¼ mortality due to trauma (e.g., vehicle strike,
haycutter injury, capture associated); ‘‘Unrecovered kill’’ ¼ unrecovered harvest-associated mortality;
‘‘Nutritional’’ ¼ mortality due to starvation, especially among neonates; ‘‘Mixed’’ ¼ unclear mixture of multiple
probable causes of death; ‘‘Unknown’’ ¼ cause of death unknown.

�GILBERTSON ET AL.—WHITE-TAILED DEER PATHOLOGY AND CHRONIC WASTING DISEASE

809

correction) with ectoparasitism (presence of
lice and/or ticks) and hematopoietic atrophy
(Table 2 and Fig. S4). While a broad
classification of ‘‘any pneumonia’’ was not
associated with CWD status, evaluating only
cases specified as bronchopneumonias found
a stronger relationship with CWD (odds ratio,
OR¼3.22, P¼0.032, though not statistically
significant with a Bonferroni correction).
Top GI and cardiac lesion subclassifications
(inflammatory lesions, myocardial degeneration/necrosis, respectively) did not show an
association with CWD status (GI inflammation: OR¼0.90, P¼1; myocardial degeneration/
necrosis: OR¼0.37, P¼0.14).
Nutritional condition was consistently poor
among deer diagnosed with CWD, regardless
of pneumonia status (Fig. 3). Pneumonia cases
that were negative for CWD were frequently
in good body condition (Fig. 3), often despite
severe lung lesions. These differences were
supported by ordinal logistic regression: the
effect of pneumonia infection alone (i.e.,

CWD-negative and pneumonia-positive) was
not a significant predictor of body condition;
however, among pneumonia-negative individuals, those that were CWD-positive were
eight times more likely to be in poor body
condition than those that were CWD-negative
(CWD-positive OR¼8.02; 95% CI, 2.31–
37.80; P¼0.003; Tables S4, S5). In addition,
among CWD-positive individuals with adequate documentation of condition for staging
clinical progression (n¼58; Fig. S5), females
were more likely to be classified as ‘‘end
stage’’ than males (OR¼5.16; 95% CI, 1.11–
25.72; P¼0.04; Table S6). Note that this
difference was based on small sample sizes
for non-end-stage individuals (total of 12 nonend-stage individuals, five of which were
males).
We identified two distinct communities in
the pathology co-occurrence network (modularity¼0.037) where disease processes or
lesions within the same community were
more likely to co-occur: CWD, bronchopneu-

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FIGURE 2. Age distributions of Wisconsin white-tailed deer (Odocoileus virginianus) that were chronic
wasting disease (CWD)-positive (red) versus CWD-negative (blue) by sex and estimated age class at time of
death. Percent values represent the proportion of individuals testing CWD positive per age class by sex.

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JOURNAL OF WILDLIFE DISEASES, VOL. 58, NO. 4, OCTOBER 2022

TABLE 2. Prevalence of lesions in Wisconsin white-tailed deer (Odocoileus virginianus) by chronic wasting
disease (CWD) status, 2017–21.a

Lesion
detection

Lesion
Emaciation
Atrophy of marrow fat

Pulmonary abscess
Hematopoietic atrophy
Cardiac lesions
Gastrointestinal lesions
Ectoparasitism
Pulmonary nematodiasis
Skeletal muscle Sarcocystosis
a

Not detected (%)
36
16
21
26
20
25
29
8
6
1
19
27
33
10
29
4
13
16
8
21

(27.7)
(12.3)
(17.5)
(21.7)
(18.9)
(23.6)
(32.2)
(8.9)
(17.1)
(2.9)
(18.1)
(25.7)
(34.0)
(10.3)
(34.5)
(4.8)
(17.3)
(21.3)
(10.8)
(28.3)

Fisher exact test

Detected (%)
15
63
14
59
22
39
38
15
11
17
36
23
35
19
31
20
19
27
14
31

(11.5)
(48.5)
(11.7)
(49.2)
(20.8)
(36.8)
(42.2)
(16.7)
(31.4)
(48.6)
(34.3)
(21.9)
(36.1)
(19.6)
(36.9)
(23.8)
(25.3)
(36.0)
(18.9)
(41.9)

Odds ratio

P value

9.25

,0.001***

3.37

,0.01**

1.41

0.43

1.43

0.62

8.73

0.041*

0.45

0.051

1.78

0.27

4.60

0.012*

1.15

0.81

0.85

0.80

The ‘‘CWD status’’ columns give the number of individuals in which CWD was detected or not detected among individuals evaluated
for a given lesion. Numbers in parentheses give this number as a proportion of the total number of individuals evaluated for a given
lesion and CWD. For example, 36 individuals were classified as ‘‘not emaciated’’ and CWD ‘‘not detected’’ in their post-mortem
testing; this equates to 27.7% of the individuals evaluated for both emaciation and CWD. Statistically significant P values for Fisher
exact tests are indicated by asterisks; only those that were statistically significant after a Bonferroni correction for multiple comparisons
are highlighted in bold.

monia and pneumonia, emaciation, ectoparasites, and pulmonary abscess (purple nodes in
Fig. 4); and GI lesions, cardiac lesions,
pulmonary nematodes, skeletal muscle sarcocystosis, and other/mixed pneumonias (turquoise nodes in Fig. 4). Community detection
and classification were robust to changes in
the number of steps (2–5) and whether
missing data were included or removed. Thus,
these communities were distinct and stable.
DISCUSSION

We found a range of pathological processes
to be present and co-occurring in WTD in a
region of high CWD prevalence. Our finding
that CWD prevalence increased with age
before decreasing among older classes aligns
with previous findings in this region (Osnas et

al. 2009; Heisey et al. 2010). Our documentation of cases of CWD in individuals under 1
yr old is consistent with previous findings of
CWD-positive fawns in this study region
(Grear et al. 2006). Notably, older males were
largely missing from our sample, probably
because we did not include hunter-harvested
mortalities in this study and because hunter
harvest is a significant source of mortality for
older males in this system. Females, with their
older age distribution, were consequently
more likely than males to be CWD-positive,
in contrast to trends in previous studies in
Wisconsin and other regions of the US (e.g.,
Miller and Conner 2005; Grear et al. 2006;
Jennelle et al. 2014; Samuel and Storm 2016;
Smolko et al. 2021). This sex-based difference
was not statistically significant when we
accounted for age of individuals. Given the

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Pneumonia

Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected
Not detected
Detected

CWD status

�GILBERTSON ET AL.—WHITE-TAILED DEER PATHOLOGY AND CHRONIC WASTING DISEASE

significant role of age in explaining CWD
status and the older age distribution for
females, it is likely that the age distribution
among CWD-positive males versus females
shapes the relative role of each sex in
transmission. Our assessment of the clinical
stage of CWD among males versus females
provides evidence that females were more
likely to die in end-stage disease than males.
This finding suggests that males may be
removed from the population in earlier
disease stages than females, which is supported by evidence that CWD-positive individuals
may be more susceptible to hunter harvest
(Conner et al. 2000; Edmunds et al. 2016). If
female deer live longer during the terminal
stages of CWD disease progression—which
corresponds with higher rates of prion shedding (Davenport et al. 2018)—they may
consequently have an underrecognized role
in CWD transmission.
We further found that CWD was associated
with poor nutritional condition and tentatively

with ectoparasitism in our sample. The
association with poor nutritional condition
was expected, and infected animal emaciation
was severe enough to be the proximate cause
of death in many CWD cases. We found that
pneumonia was not significantly associated
with nutritional condition, with or without
coinfection with CWD. Coinfected individuals
do not die in better condition; pneumonia
does not, therefore, appear to significantly
shorten the time to death among CWD cases.
The tentative association we observed
between ectoparasitism and CWD has not
been reported previously. Recording bias
cannot be ruled out here, because recorders
may be more likely to screen for and observe
ectoparasites present on poor-condition animals. Nevertheless, body condition is generally (although not always) expected to be
negatively associated with ectoparasitism in
endotherms, with mechanisms such as direct
tissue damage and the energetic costs of
immunity underlying these observed relationships (Sánchez et al. 2018). The tentative
relationship we observed between CWD and
ectoparasitism might result from CWD-induced wasting affecting immune responses to
ectoparasitism (e.g., Trager 1939; Allen and
Kemp 1982; Kamath et al. 2014). Alternatively
or additionally, severe CWD probably contributes to changes in grooming behavior in
affected animals (e.g., via lack of awareness or
due to the neurological degeneration that
causes excess salivation and head tremors;
Williams 2005). Severely ill animals may also
have reduced contact with conspecifics (as in
Tasmanian devils, Sarcophilus harrisii; Hamilton et al. 2020), and/or conspecifics may be
less likely to participate in allogrooming of
severely ill animals through changes in social
cohesion or dominance rank (Hirth 1977;
Forand and Marchinton 1989) or through
behavioral avoidance (Oaten et al. 2009;
Weinstein et al. 2018). Given that behavioral
avoidance may subsequently alter transmission dynamics (Croft et al. 2011), the potential
relationship between ectoparasitism, CWD,
and disease-induced social or behavioral
changes merits further study.

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FIGURE 3. Prevalence of body condition classes by
chronic wasting disease (CWD) and pneumonia status
among Wisconsin white-tailed deer (Odocoileus virginianus), 2017–21. The x-axis gives postmortem status
for CWD/pneumonia (e.g., �/þ corresponds to CWDnegative and pneumonia-positive individuals). Numbers above bars give sample sizes per CWD/pneumonia classification.

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JOURNAL OF WILDLIFE DISEASES, VOL. 58, NO. 4, OCTOBER 2022

Other studies of WTD pathology trends
have reported pneumonia as a common cause
of morbidity and mortality, with pneumonia
given as the primary cause of death or illness
in about 8–24% of cases (Hattel et al. 2004;
Haigh et al. 2005; Magle et al. 2012; Zhu et al.
2021). Although our finding of high (52.1%)
prevalence of pneumonia among our sample
of deer mortalities reflects any pneumonia
lesions, not just pneumonia as the primary
cause of death, the prevalence of pneumonia
lesions here is at least consistent with other
studies, if not suggestive of higher rates of
serious pneumonia. The high prevalence of
pneumonia could certainly be explained by
the high prevalence of CWD in our region.
The observed pneumonias were frequently
cranioventral bronchopneumonia, which is
consistent with bacterial etiologic agents and/

or aspiration pneumonia (Zachary and McGavin 2007). Aspiration pneumonia is expected
to be associated with late-stage CWD as
motor function declines (Williams and Young
1980, 1992; Williams et al. 2002), which could
explain the relationship we observed between
specifically bronchopneumonia and CWD.
Pneumonias more generally were not associated with CWD, and pneumonia-associated
deaths among deer in otherwise good body
condition remain unexplained (Fig. 3). The
most common agent identified, Trueperella
pyogenes, has been observed as a common
pneumonia agent in deer previously (Hattel et
al. 2004; Haigh et al. 2005; Zhu et al. 2021). A
limitation is that etiologic agents were not
identified for most pneumonia cases. Anaerobic bacteria, such as Fusobacterium necrophorum, which has also been reported in

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FIGURE 4. Pathology co-occurrence network among necropsied Wisconsin white-tailed deer (Odocoileus
virginianus), 2017–21. The width and color (yellow to red) of the edges represent the frequency of cooccurrence (i.e., edge weight). Node color is the community in which the node was classified. The network is
displayed as force-directed (i.e., Fruchterman-Reingold algorithm; igraph, Csardi and Nepusz 2006). Note that
‘‘Bronch_Pneum’’ ¼ bronchopneumonia or pneumonia; ‘‘Abscess’’ ¼ pulmonary abscess; ‘‘Parasite’’ ¼
ectoparasitism; ‘‘Other_Pneum’’ ¼ pneumonia other than bronchopneumonia or pneumonia (e.g., interstitial
pneumonia); ‘‘GI’’ ¼ gastrointestinal lesions; ‘‘Nematode’’ ¼ pulmonary nematodiasis; ‘‘CWD’’ ¼ chronic wasting
disease; ‘‘Emaciation’’ ¼ emaciated body condition; ‘‘Sarcocystosis’’ ¼ skeletal muscle sarcocystosis; ‘‘Cardiac’’ ¼
cardiac lesions.

�GILBERTSON ET AL.—WHITE-TAILED DEER PATHOLOGY AND CHRONIC WASTING DISEASE

has a notable role in nonharvest deer mortalities in our study area.
In addition to limitations due to excluding
hunter-harvested animals and areas of potential recording bias highlighted above, our
study could be affected by other sampling
limitations. For example, conditions in which
too little carcass could be recovered for
necropsy (due to predation or scavenging)
might otherwise have been associated with
specific disease processes (e.g., severe CWD).
Further, although staff performing laboratory
and field necropsies remained as objective as
possible, some subjectivity is unavoidable,
including in attempting to assign a final cause
of death. Future work may benefit from
incorporating hunter-harvested deer and aiming for a demographically representative
sample. Nevertheless, this work represents a
novel examination of disease processes and
comorbidities present in a high CWD-prevalence deer population, which may be used as a
catalyst for future research and management.
ACKNOWLEDGMENTS

We thank the many field technicians who
contributed to collaring and mortality investigation efforts, including S. Bundick, L. Hahn, T.
Johannes, T. Klein, K. Luukkonen, H. Manninen,
and M. Watt. In addition, we thank the Wisconsin
Veterinary Diagnostic Laboratory, University of
Wisconsin Veterinary Care, the UW-SVM Anatomic Pathology Service, and the UW-SVM
Histology Laboratory. Funding was provided by
the Federal Aid in Wildlife Restoration Act,
administered through the Wisconsin Department
of Natural Resources and the University of
Wisconsin–Madison. Additional funding was provided by the US Geological Survey Biological
Threats program (G20AC00353). Any use of
trade, firm, or product names is for descriptive
purposes only and does not imply endorsement by
the US Government.
SUPPLEMENTARY MATERIAL

Supplementary material for this article is online
at http://dx.doi.org/10.7589/JWD-D-21-00202.
LITERATURE CITED
Allen JR, Kemp DH. 1982. Observations on the behaviour
of Dermacentor andersoni larvae infesting normal

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cases of WTD pneumonia (Hattel et al. 2004;
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JOURNAL OF WILDLIFE DISEASES, VOL. 58, NO. 4, OCTOBER 2022

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815

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              <text>White-tailed deer (WTD; Odocoileus virginianus) are a critical species for ecosystem function and wildlife management. As such, studies of cause-specific mortality among WTD have long been used to understand population dynamics. However, detailed pathological information is rarely documented for free-ranging WTD, especially in regions with a high prevalence of chronic wasting disease (CWD). This leaves a significant gap in understanding how CWD is associated with disease processes or comorbidities that may subsequently alter broader population dynamics. We investigated unknown mortalities among collared WTD in southwestern Wisconsin, USA, an area of high CWD prevalence. We tested for associations between CWD and other disease processes and used a network approach to test for co-occurring disease processes. Predation and infectious disease were leading suspected causes of death, with high prevalence of CWD (42.4%; of 245 evaluated) and pneumonia (51.2%; of 168 evaluated) in our sample. CWD prevalence increased with age, before decreasing among older individuals, with more older females than males in our sample. Females were more likely to be CWD positive, and although this was not statistically significant when accounting for age, females were significantly more likely to die with end-stage CWD than males and may consequently be an underrecognized source of CWD transmission. Presence of CWD was associated with emaciation, atrophy of marrow fat and hematopoietic cells, and ectoparasitism (lice and ticks). Occurrences of severe infectious disease processes clustered together (e.g., pneumonia, CWD), as compared to noninfectious or low-severity processes (e.g., sarcocystosis), although pneumonia cases were not fully explained by CWD status. With the prevalence of CWD increasing across North America, our results highlight the critical importance of understanding the potential role of CWD in favoring or maintaining disease processes of importance for deer population health and dynamics.</text>
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          <elementTextContainer>
            <elementText elementTextId="6415">
              <text>Gilbertson, M. L., E. E. Brandell, M. E. Pinkerton, N. M. Meaux, M. Hunsaker, D. Jarosinski, W. Ellarson, D. P. Walsh, D. J. Storm, and W. C. Turner. 2022. Cause of death, pathology, and chronic wasting disease status of white-tailed deer (Odocoileus virginianus) mortalities in Wisconsin, USA. Journal of Wildlife Diseases 54:803–815; DOI: 10.7589/JWD-D-21-00202</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6416">
              <text>Gilbertson, Marie L.</text>
            </elementText>
            <elementText elementTextId="6417">
              <text>Brandell, Ellen E.</text>
            </elementText>
            <elementText elementTextId="6418">
              <text>Pinkerton, Marie E.</text>
            </elementText>
            <elementText elementTextId="6419">
              <text>Meaux, Nicolette M.</text>
            </elementText>
            <elementText elementTextId="6420">
              <text>Hunsaker, Matthew</text>
            </elementText>
            <elementText elementTextId="6421">
              <text>Jarosinski, Dana</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6422">
              <text>Ectoparasitism</text>
            </elementText>
            <elementText elementTextId="6423">
              <text>Infectious disease</text>
            </elementText>
            <elementText elementTextId="6424">
              <text>Comorbidity</text>
            </elementText>
            <elementText elementTextId="6425">
              <text>Nutritional condition</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="78">
          <name>Extent</name>
          <description>The size or duration of the resource.</description>
          <elementTextContainer>
            <elementText elementTextId="6426">
              <text>13 pages</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="47">
          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6427">
              <text>&lt;a href="http://rightsstatements.org/vocab/InC-NC/1.0/"&gt;IN COPYRIGHT - NON-COMMERCIAL USE PERMITTED&lt;/a&gt;</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="44">
          <name>Language</name>
          <description>A language of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6429">
              <text>English</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="57">
          <name>Date Accepted</name>
          <description>Date of acceptance of the resource. Examples of resources to which a Date Accepted may be relevant are a thesis (accepted by a university department) or an article (accepted by a journal).</description>
          <elementTextContainer>
            <elementText elementTextId="6430">
              <text>6/30/2022</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="60">
          <name>Date Issued</name>
          <description>Date of formal issuance (e.g., publication) of the resource.</description>
          <elementTextContainer>
            <elementText elementTextId="6431">
              <text>10/2022</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="59">
          <name>Date Submitted</name>
          <description>Date of submission of the resource. Examples of resources to which a Date Submitted may be relevant are a thesis (submitted to a university department) or an article (submitted to a journal).</description>
          <elementTextContainer>
            <elementText elementTextId="6432">
              <text>12/22/2021</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="42">
          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="6539">
              <text>application/pdf</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="51">
          <name>Type</name>
          <description>The nature or genre of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="7041">
              <text>Article</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </elementSet>
  </elementSetContainer>
</item>
