Continuation of Over-the-Counter Biotin Supplements in the Inpatient Setting: An Unexpected Source of Laboratory Error.

BACKGROUND: Over the past decade, use of high-dose biotin has increased significantly and can lead to erroneous results on some clinical immunoassays. In collaboration with pharmacists at our institution, we discovered that high biotin doses were being administered to inpatients as a continuation of patient-reported home biotin use. METHODS: This retrospective study evaluated high-dose biotin administration in 226 inpatient encounters from 2009 to 2019 and its potential impact on concurrent immunoassay testing. RESULTS: In 96% of cases, biotin was administered in the inpatient setting as a continuation of patient-reported home use. In total, 322 immunoassays capable of biotin interference were performed across 100 inpatient encounters with high-dose biotin administration. Troponin T and TSH were the most commonly performed immunoassays in this cohort. DISCUSSION: Even though less than 5% of all high-dose biotin orders at our institution are placed for inpatients, hospitalized patients are still at risk for mismanagement due to erroneous immunoassay results. Immunoassay testing susceptible to biotin interference was performed in approximately 45% of inpatient encounters with biotin administration. Laboratories utilizing biotin-susceptible, sensitive cardiac troponin assays should be particularly cautious. Pharmacokinetic data for biotin clearance is especially lacking for certain populations likely to be hospitalized, such as those with renal failure. Given that medical conditions requiring high-dose biotin therapy are extremely rare, we recommend restricting biotin dosing during inpatient encounters for all other patients.

Cost-effectiveness analysis of initial treatment strategies for mild-to-moderate Clostridium difficile infection in hospitalized patients.

PURPOSE: The cost-effectiveness of initial treatment strategies for mild-to-moderate Clostridium difficile infection (CDI) in hospitalized patients was evaluated. METHODS: Decision-analytic models were constructed to compare initial treatment with metronidazole, vancomycin, and fidaxomicin. The primary model included 1 recurrence, and the secondary model included up to 3 recurrences. Model variables were extracted from published literature with costs based on a healthcare system perspective. The primary outcome was the incremental cost-effective ratio (ICER) between initial treatment strategies. RESULTS: In the primary model, the overall percentage of patients cured was 94.23%, 95.19%, and 96.53% with metronidazole, vancomycin, and fidaxomicin, respectively. Expected costs per case were $1,553.01, $1,306.62, and $5,095.70, respectively. In both models, vancomycin was more effective and less costly than metronidazole, resulting in negative ICERs. The ICERs for fidaxomicin compared with those for metronidazole and vancomycin in the primary model were $1,540.23 and $2,828.69 per 1% gain in cure, respectively. Using these models, a hospital currently treating initial episodes of mild-to-moderate CDI with metronidazole could expect to save $246.39-$388.37 per case treated by using vancomycin for initial therapy. CONCLUSION: A decision-analytic model revealed vancomycin to be cost-effective, compared with metronidazole, for treatment of initial episodes of mild-to-moderate CDI in adult inpatients. From the hospital perspective, initial treatment with vancomycin resulted in a higher probability of cure and a lower probability of colectomy, recurrence, persistent recurrence, and cost per case treated, compared with metronidazole. Use of fidaxomicin was associated with an increased probability of cure compared with metronidazole and vancomycin, but at a substantially increased cost.

Implementation of a Mobile Clinical Decision Support Application to Augment Local Antimicrobial Stewardship.

BACKGROUND: Medical applications for mobile devices allow clinicians to leverage microbiological data and standardized guidelines to treat patients with infectious diseases. We report the implementation of a mobile clinical decision support (CDS) application to augment local antimicrobial stewardship. METHODS: We detail the implementation of our mobile CDS application over 20 months. Application utilization data were collected and evaluated using descriptive statistics to quantify the impact of our implementation. RESULTS: Project initiation focused on engaging key stakeholders, developing a business case, and selecting a mobile platform. The preimplementation phase included content development, creation of a pathway for content approval within the hospital committee structure, engaging clinical leaders, and formatting the first version of the guide. Implementation involved a media campaign, staff education, and integration within the electronic medical record and hospital mobile devices. The postimplementation phase required ongoing quality improvement, revision of outdated content, and repeated staff education. The evaluation phase included a guide utilization analysis, reporting to hospital leadership, and sustainability and innovation planning. The mobile application was downloaded 3056 times and accessed 9259 times during the study period. The companion web viewer was accessed 8214 times. CONCLUSIONS: Successful implementation of a customizable mobile CDS tool enabled our team to expand beyond microbiological data to clinical diagnosis, treatment, and antimicrobial stewardship, broadening our influence on antimicrobial prescribing and incorporating utilization data to inspire new quality and safety initiatives. Further studies are needed to assess the impact on antimicrobial utilization, infection control measures, and patient care outcomes.