Back

Quantifying the contributions of asymptomatic and symptomatic colonized patients to Clostridioides difficile acquisition in oncological units

Savannah, C.; Lee, M. M.; Hink, T.; Reske, K. A.; Struttmann, E.; Hassan Iqbal, Z.; Cass, C.; Olsen, M. A.; Arya, S.; Burnham, C.-A.; Lenhart, S.; Dubberke, E. R.; Lanzas, C.

2026-05-12 infectious diseases
10.64898/2026.05.08.26352751 medRxiv
Show abstract

ObjectiveLeukemic and hematopoietic cell transplant patients have one of the highest incidences of C. difficile infection (CDI). While CDI patients are considered the primary source of transmission, asymptomatic colonized patients (AC) can progress to CDI or contribute to in-unit transmission. We aim to quantify the roles of CDI and AC patients in C. difficile importation and transmission within oncological units. DesignProspective cohort study SettingTwo leukemia and HCT transplant units in a large tertiary care hospital in the US MethodsWe developed a stochastic, individual-based network model to simulate C. difficile acquisition and transmission. Data from cultures and nucleic acid amplification testing (NAAT) obtained at admission and weekly, and toxin enzyme immunoassay (EIA) tests used for CDI diagnosis were used to calibrate the model. Healthcare worker room assignments informed the network structure. Key parameters were estimated via particle filtering. ResultsThe model reproduced observed weekly test counts and transmission pairs. AC patients were the primary source of new colonizations: 51% were due to importation (of those, 88% were admitted as AC), and 49% were due to transmission (AC was the source in 92% of transmissions). Sensitivity analysis showed that these findings were most influenced by the colonization rate and rates of environmental contamination and cleaning. ConclusionsThese findings reinforce the role of AC, particularly via admission importation, in sustaining C. difficile transmission in high-risk hospital settings. Infection control focused on CDI effectively reduced onward transmission, as indicated by CDIs low contribution to new colonizations.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Clinical Infectious Diseases
231 papers in training set
Top 0.1%
38.0%
2
Open Forum Infectious Diseases
134 papers in training set
Top 0.1%
6.4%
3
Annals of Internal Medicine
27 papers in training set
Top 0.1%
4.9%
4
Infection Control & Hospital Epidemiology
17 papers in training set
Top 0.1%
4.4%
50% of probability mass above
5
The Journal of Infectious Diseases
182 papers in training set
Top 0.9%
4.0%
6
BMC Infectious Diseases
118 papers in training set
Top 1%
3.6%
7
PLOS ONE
4510 papers in training set
Top 38%
3.6%
8
JAMA Network Open
127 papers in training set
Top 2%
2.1%
9
The Lancet Microbe
43 papers in training set
Top 0.4%
2.1%
10
Scientific Reports
3102 papers in training set
Top 49%
2.1%
11
BMC Medicine
163 papers in training set
Top 3%
1.9%
12
mSphere
281 papers in training set
Top 3%
1.7%
13
Canadian Medical Association Journal
15 papers in training set
Top 0.1%
1.5%
14
Emerging Infectious Diseases
103 papers in training set
Top 2%
1.5%
15
JCI Insight
241 papers in training set
Top 4%
1.3%
16
Nature Communications
4913 papers in training set
Top 55%
1.3%
17
Journal of Clinical Investigation
164 papers in training set
Top 4%
1.3%
18
PLOS Computational Biology
1633 papers in training set
Top 19%
1.2%
19
Journal of Infection
71 papers in training set
Top 2%
0.8%
20
PLOS Medicine
98 papers in training set
Top 5%
0.8%
21
Genome Medicine
154 papers in training set
Top 9%
0.7%
22
JMIR Public Health and Surveillance
45 papers in training set
Top 4%
0.7%
23
Clinical Microbiology and Infection
60 papers in training set
Top 1%
0.7%
24
BMC Medical Research Methodology
43 papers in training set
Top 1%
0.7%
25
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 7%
0.6%
26
American Journal of Infection Control
12 papers in training set
Top 0.4%
0.5%
27
Infectious Disease Modelling
50 papers in training set
Top 1%
0.5%
28
Epidemics
104 papers in training set
Top 2%
0.5%