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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Lee, Ki-Byung Lee, Mina Suh, Jin Woong Yang, Kyung-Sook Chung, Youseung Kim, Jeong Yeon Kim, Sun Bean Sohn, Jang Wook Yoon, Young Kyung |
| Abstract | Background This study aimed to develop and validate a clinical prediction rule to screen older patients at risk of being toxigenic Clostridioides difficile carriers at the time of hospital admission. Methods This retrospective case-control study was performed at a university-affiliated hospital. Active surveillance using a real-time polymerase chain reaction (PCR) assay for the toxin genes of C. difficile was conducted among older patients (≥ 65 years) upon admission to the Division of Infectious Diseases of our institution. This rule was drawn from a derivative cohort between October 2019 and April 2021 using a multivariable logistic regression model. Clinical predictability was evaluated in the validation cohort between May 2021 and October 2021. Results Of 628 PCR screenings for toxigenic C. difficile carriage, 101 (16.1%) yielded positive findings. To establish clinical prediction rules in the derivation cohort, the formula was derived using significant predictors for toxigenic C. difficile carriage at admission, such as septic shock, connective tissue diseases, anemia, recent use of antibiotics, and recent use of proton-pump inhibitors. In the validation cohort, the sensitivity, specificity, and positive and negative predictive values of the prediction rule, based on a cut-off value of ≥ 0.45, were 78.3%, 70.8%, 29.5%, and 95.4%, respectively. Conclusion This clinical prediction rule for identifying toxigenic C. difficile carriage at admission may facilitate the selective screening of high-risk groups. To implement it in a clinical setting, more patients from other medical institutions need to be prospectively examined. |
| Related Links | https://bmcgeriatr.biomedcentral.com/counter/pdf/10.1186/s12877-023-03808-2.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712318 |
| DOI | 10.1186/s12877-023-03808-2 |
| Journal | BMC Geriatrics |
| Issue Number | 1 |
| Volume Number | 23 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2023-03-06 |
| Access Restriction | Open |
| Subject Keyword | Geriatrics Gerontology Aging Rehabilitation Clostridioides difficile Clinical prediction rule Risk factors Active surveillance Infection control Geriatrics/Gerontology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geriatrics and Gerontology |
| Journal Impact Factor | 3.4/2023 |
| 5-Year Journal Impact Factor | 4.1/2023 |
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