Related Experiment Video
Updated: Sep 19, 2026

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment
Published on: May 25, 2017
Factors driving increases in Clostridioides difficile infection rates in England: a national case-control study, 2019
Tim Whiteley1, Andre Charlett1, Dimple Chudasama1
1UK Health Security Agency, Colindale, London, United Kingdom.
Abstract:
BACKGROUNDNumbers of Clostridioides difficile infections (CDI) in England have risen since 2021, but for unclear reasons.AIMThis study's objective was to understand factors driving CDI increases, and their relative impact.METHODSWe conducted a case-control study in England from 2019/20 to 2023/24, with CDI case data linked to hospitalisation episodes. Controls were non-CDI related hospitalisation episodes. A logistic regression model estimated odds ratios (ORs) for primary care prescribing, comorbidities, demographic factors, region and testing rates. To assess temporal changes, the model was fitted to 2019/20 data to predict, from 2020/21 onwards, case numbers, which were compared to observations. The relative contribution of factors to the model performance was evaluated by their stepwise inclusion into it, starting from a baseline considering hospitalisation numbers. Prediction improvements were assessed after each incorporation.RESULTSThe strongest CDI risk factors were prescriptions (e.g. OR for clindamycin: 5.22; p < 0.001), comorbidities (OR: 1.17; p < 0.001), and age (OR: 1.03; p < 0.001). All ethnicities except White negatively associated with CDIs. Among regions, the North West and Yorkshire and Humber had the highest ORs (1.17 and 1.15 respectively; p < 0.001). Demographic changes and antibiotic use explained 12.6% of the difference between observed cases in 2023/24 and our baseline model whereas including comorbidities and testing rates explained 65.3%.CONCLUSIONIncreases in overall hospital admissions, comorbidities and testing largely explained rising case numbers, which also stemmed from an ageing population, demographic changes and more primary care antibiotic prescribing. Nevertheless, these factors did not fully account for observed increases, so further determinants should be sought.
Related Concept Videos
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin create...
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies. Common...
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Infectious Diseases and Their Occurrence
Clinical Significance of Antibiotic Resistance
Investigation of Disease Outbreaks
