OBJECTIVE: Mucormycosis is an opportunistic fungal infection associated with low incidence but high mortality. Few studies have shown the treatment and disease burden of mucormycosis in China. This study aims at collecting all the reported cases to describe the characteristics and treatment patterns and to assess the economic burden of mucormycosis in China.
METHODS: We conducted a literature review of mucormycosis case reports in Chinese patients to summarize the characteristics and treatment patterns of the disease in China. An economic model was built to evaluate the total cost of mucormycosis per person, including direct medical cost, direct non-medical cost and indirect cost.
CONCLUSIONS: A total of 676 case reports showed that the most common type of mucormycosis was pulmonary mucormycosis (299/676, 44.2%), and rhinocerebral mucormycosis had the highest case fatality rate (122/185, 68.5%). Among those who used empiric therapies, 48.8% (231/473) did not include anti-mucor drugs; 79.8% (336/421) of the therapies include amphotericin B (AMB) or AMB-lipo after detection of mucormycetes; 98.6% (69/70) of the reported adverse events were associated with AMB and AMB-lipo. The duration of treatment ranged from 90 to 180 days; the length of stay ranged from 22 to 95 days. The average total cost per patient was 166 thousand Chinese Yuan (CNY), of which 93.1% was the direct medical cost (155 thousand CNY).
CONCLUSIONS: There are a limited number of antifungal treatment options for mucormycosis in China. This study highlights the critical need to introduce innovative and broader spectrum antifungal drugs with improved safety, better clinical efficacy, easier administration and reduced economic burden to Chinese mucormycosis patients.

Risk calculation is increasingly used in lipid management, congestive heart failure, and atrial fibrillation. The risk scores are then used for decisions about statin use, anticoagulation, and implantable defibrillator use. Calculating risks for patients and making decisions based on these risks is often done at the point of care and is an additional time burden for clinicians that can be decreased by automating the tasks and using clinical decision-making support.
Using Morae Recorder software, we timed 30 healthcare providers tasked with calculating the overall risk of cardiovascular events, sudden death in heart failure, and thrombotic event risk in atrial fibrillation. Risk calculators used were the American College of Cardiology Atherosclerotic Cardiovascular Disease risk calculator (AHA-ASCVD risk), Seattle Heart Failure Model (SHFM risk), and CHA2DS2VASc. We also timed the 30 providers using Ask Mayo Expert care process models for lipid management, heart failure management, and atrial fibrillation management based on the calculated risk scores. We used the Mayo Clinic primary care panel to estimate time for calculating an entire panel risk.
Mean provider times to complete the CHA2DS2VASc, AHA-ASCVD risk, and SHFM were 36, 45, and 171 s respectively. For decision making about atrial fibrillation, lipids, and heart failure, the mean times (including risk calculations) were 85, 110, and 347 s respectively.
Even under best case circumstances, providers take a significant amount of time to complete risk assessments. For a complete panel of patients this can lead to hours of time required to make decisions about prescribing statins, use of anticoagulation, and medications for heart failure. Informatics solutions are needed to capture data in the medical record and serve up automatically calculated risk assessments to physicians and other providers at the point of care.