Does the internet promote the unregulated use of faecal microbiota transplantation (FMT). A potential public health issue?

Introduction: The Internet has become an increasingly popular resource for medical information. Fecal microbiota transplantation (FMT) has changed the treatment of Clostridium difficile with cure rates of 81% following one infusion of FMT, further studies have since validated these findings. The Medicines and Health care Products Regulatory Agency has classified FMT as a medicine and hence should be only utilized in strict clinical settings. Methods: We searched Facebook, Twitter, Google, and YouTube using the words “Faecal Microbiota Transplantation” and “FMT”. We utilized the first 50 hits on each site. We analyzed the percentage of articles that fell outside regulated medical practice. We searched how many clinics in the UK advertised practice that falls outside suggested guidelines. Results: Google, YouTube, and Facebook had a variety of information regarding FMT available. Nine out of 50 (18%) of the top 50 google searches can be considered articles that fall outside regulated practice. YouTube highlighted four videos describing how to self-administer FMT, one of these was for ulcerative colitis. Fourteen percent of the top 50 YouTube videos fall outside regulated practice and 8% of the top 50 Facebook searches fall outside regulated clinical practice. There were two clinics in the UK advertising FMT for uses that fall outside regulated practice. Conclusion: Clinicians and patients need to be aware of the resources available through social media and the Internet. It should be appreciated that some websites fall outside regulated clinical practice. Private clinics offering FMT need to ensure that they are offering FMT within a regulated framework

Risk Prediction for Acute Kidney Injury in Acute Medical Admissions in the UK

Background Acute Kidney Injury (AKI) is associated with adverse outcomes; identifying patients who are at risk of developing AKI in hospital may lead to targeted prevention. This approach is advocated in national guidelines but is not well studied in acutely unwell medical patients. We therefore aimed to undertake a UK-wide study in acute medical units (AMUs) with the following aims: to define the proportion of acutely unwell medical patients who develop hospital-acquired AKI (hAKI); to determine risk factors associated with the development of hAKI; and to assess the feasibility of using these risk factors to develop an AKI risk prediction score. Methods In September 2016, a prospective multicentre cohort study across 72 UK AMUs was undertaken. Data were collected from all patients who presented over a 24-hour period. Chronic dialysis, community-acquired AKI (cAKI) and those with fewer than two creatinine measurements were subsequently excluded. The primary outcome was the development of h-AKI. Results 2,446 individuals were admitted to the AMUs of the 72 participating centres. 384 patients (16%) sustained AKI of whom 287 (75%) were cAKI and 97 (25%) were hAKI. After exclusions, 1,235 participants remained in whom chronic kidney disease (OR 3.08, 95% CI 1.96-4.83), diuretic prescription (OR 2.33, 95% CI 1.5-3.65), a lower haemoglobin concentration and an elevated serum bilirubin were independently associated with development of hAKI. Multivariable model discrimination was moderate (c-statistic 0.75), and this did not support the development of a robust clinical risk prediction score. Mortality was higher in those with hAKI (adjusted OR 5.22; 95% CI 2.23-12.20). Conclusion AKI in AMUs is common and associated with worse outcomes, with the majority of cases community acquired. The smaller proportion of hAKI cases, only moderate discrimination of prognostic risk factor modelling and the resource implications of widespread application of an AKI clinical risk score across all AMU admissions suggests that this approach is not currently justified. More targeted risk assessment or automated methods of calculating individual risk may be more appropriate alternatives