P-190. Enhancing <i>Clostridium difficile</i> Diagnosis and Management: A Structured Approach to Early Recognition with Two-Step Testing

Abstract Background Clostridium difficile is a significant challenge in healthcare settings, requiring accurate and timely diagnosis while avoiding unnecessary treatment. To reduce false positives, IDSA/SHEA recommends two-step testing: a sensitive assay to detect C. difficile followed by a specific assay to confirm toxigenic CDI. Our longstanding CDI prevention program, with a comprehensive testing algorithm, consistently outperformed the national NHSN benchmark. This CDI infection prevention program is multifaceted, including early recognition, appropriate testing strategies, accurate attribution, and stewardship interventions. Here, we evaluated the performance of two-step testing on identifying patients with discordant results and related antimicrobial consumption. Methods In December 2023, we updated our CDI prevention program with enhanced focus on early detection using a testing selection algorithm (Fig 1) as well as two-step testing (Fig 2) including a tcdB PCR assay and a toxin enzyme immunoassay to identify discordant results (PCR+/toxin-) that usually do not require treatment. We assessed C. difficile testing and treatment at all 8 hospitals in our system and hospital-onset (HO)-CDI at the flagship hospital from January to March 2024. Results From January 1 to March 31, 2024, 1,864 patients were tested for CDI by PCR assay; of the 328 that were positive, 111 (33.8%) were also positive for toxin (+/+), with the other 217 (66.2%) negative for toxin (+/-) representing non-toxigenic colonization for which treatment is not recommended. Out of 1,428 days of treatment given for CDI, 274 and 574 were in patients with negative (-/-) and discordant (+/-) results, respectively, indicating that treatment is still prevalent in these groups despite recommendations. HO-CDI rates decreased, with the NHSN standardized infection ratio significantly lower in March 2024 than in 2023 (Fig 3). Conclusion In 2024, we observed a reduction in reportable HO-CDI across the health system. Additional stewardship interventions will be required to decrease treatment in patients with discordant results. This will be of increased importance as NHSN evaluates and updates changes to definitions around reportable CDI. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.394
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-190. Enhancing Clostridium difficile Diagnosis and Management: A Structured Approach to Early Recognition with Two-Step Testing

Firas Zabaneh, Muhammad Yasser Alsafadi, Shivani Patel, Ashley Drews
Open Forum Infectious Diseases
Clostridium difficile and Clostridium perfringens research
article

P-190. Enhancing Clostridium difficile Diagnosis and Management: A Structured Approach to Early Recognition with Two-Step Testing

Firas Zabaneh, Muhammad Yasser Alsafadi, Shivani Patel, Ashley Drews
article en

Abstract

Abstract Background Clostridium difficile is a significant challenge in healthcare settings, requiring accurate and timely diagnosis while avoiding unnecessary treatment. To reduce false positives, IDSA/SHEA recommends two-step testing: a sensitive assay to detect C. difficile followed by a specific assay to confirm toxigenic CDI. Our longstanding CDI prevention program, with a comprehensive testing algorithm, consistently outperformed the national NHSN benchmark. This CDI infection prevention program is multifaceted, including early recognition, appropriate testing strategies, accurate attribution, and stewardship interventions. Here, we evaluated the performance of two-step testing on identifying patients with discordant results and related antimicrobial consumption. Methods In December 2023, we updated our CDI prevention program with enhanced focus on early detection using a testing selection algorithm (Fig 1) as well as two-step testing (Fig 2) including a tcdB PCR assay and a toxin enzyme immunoassay to identify discordant results (PCR+/toxin-) that usually do not require treatment. We assessed C. difficile testing and treatment at all 8 hospitals in our system and hospital-onset (HO)-CDI at the flagship hospital from January to March 2024. Results From January 1 to March 31, 2024, 1,864 patients were tested for CDI by PCR assay; of the 328 that were positive, 111 (33.8%) were also positive for toxin (+/+), with the other 217 (66.2%) negative for toxin (+/-) representing non-toxigenic colonization for which treatment is not recommended. Out of 1,428 days of treatment given for CDI, 274 and 574 were in patients with negative (-/-) and discordant (+/-) results, respectively, indicating that treatment is still prevalent in these groups despite recommendations. HO-CDI rates decreased, with the NHSN standardized infection ratio significantly lower in March 2024 than in 2023 (Fig 3). Conclusion In 2024, we observed a reduction in reportable HO-CDI across the health system. Additional stewardship interventions will be required to decrease treatment in patients with discordant results. This will be of increased importance as NHSN evaluates and updates changes to definitions around reportable CDI. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Houston Methodist (US)
Openalex Percentile: Top 98%
Clostridium difficile and Clostridium perfringens research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.