Wyatt, Kirk D.

AbstractCoronavirus disease 2019 (COVID‐19) infection causes a variety of extrapulmonary complications in pediatric patients. Multisystem inflammatory syndrome and hemophagocytic lymphohistiocytosis (HLH) are related to hypercytokinemia in COVID‐19 patients. HLH is a disorder of exaggerated inflammation resulting in a cytokine storm and unrestricted hemophagocytosis. HLH can be primary (familial) or secondary (acquired). Secondary HLH (sHLH) can occur in patients with rheumatologic, oncologic, or infectious diseases. The link between COVID‐19 and HLH has been reported in pediatric patients. Here we report a case of a pediatric patient who developed refractory sHLH secondary to COVID‐19 infection and required a hematopoietic cell transplant for the cure.

BACKGROUND: Coagulopathy and thrombosis are well-described complications of asparaginase therapy; however, treatment practices in pediatric hematology oncology patients vary widely as evidence-based guidelines for clinical management of these complications in this population are lacking. OBJECTIVE: To assess management practices of asparaginase-related coagulopathy by pediatric hematology oncology (PHO) providers. DESIGN/METHOD: Email survey sent to 2,327 PHO providers primarily practicing in the United States. RESULTS: Two hundred and eighty-five (12.2%) attending physicians completed the survey. Only 4.6% (n=13/285) routinely prescribe prophylactic anticoagulation during induction chemotherapy for leukemia. Slightly more than half (n=145/250, 50.9%) of all providers perform baseline coagulation studies. Most providers that were surveyed (n= 185/285, 64.9%) only replete coagulant factors if the patient experiences bleeding or bruising. One hundred and thirty (n = 130/285, 45.6%) physicians replace low fibrinogen, and the median replacement was 100 mg/dL (range: 40-200 mg/dL) with the median target of at least 100 mg/dL (range: 50-200 mg/dL). A minority of physicians (n=39/250, 13.7%) replace low antithrombin at a median cutoff activity level of 60% (range 40-100 %) with a median target of 75% (range: 40-125 %). CONCLUSION: There is a significant variation in PHO provider practices for monitoring and management of asparaginase-associated hemostatic derangements. Evidence-based guidelines have the potential to standardize practices.

Background/Aims: The Pediatric Research Equity Act and Best Pharmaceuticals for Children Act are intended to promote the conduct of clinical trials that generate pediatric-specific evidence about drug safety and efficacy. This study assesses the quality of evidence generated through Pediatric Research Equity Act–mandated and Best Pharmaceuticals for Children Act–incentivized clinical trials of hematology/oncology drugs and characterizes subsequent changes in pediatric drug utilization rates. Methods: Trial characteristics (blinding, randomization, and comparator group) were determined for clinical trials that supported pediatric label changes. Using data from OptumLabs ® Data Warehouse, a de-identified administrative claims database, we calculated pediatric utilization rates for each drug. We calculated monthly utilization rates from January 2003 (or from the first month in which data were available) to December 2018. Results: We identified 11 hematology/oncology drugs that underwent pediatric label changes under the Pediatric Research Equity Act Pediatric Research Equity Act and/or Best Pharmaceuticals for Children Act, and we identified 15 trials supporting these changes. Of these trials, 36% (5/14) were randomized, 31% (4/13) were blinded, and 36% (5/14) used a comparator group. A median of 49 children (interquartile range 29.5) received the drug under investigation across these trials. Pediatric label changes were not associated with subsequent changes in pediatric drug utilization. Although some drugs saw increased pediatric use after gaining new pediatric indications, this pattern was not consistently observed. In addition, there was no evidence to suggest that drugs were utilized less frequently after they failed to receive pediatric indications. Conclusions: Clinical trials of hematology/oncology drugs conducted under the Pediatric Research Equity Act Pediatric Research Equity Act and Best Pharmaceuticals for Children Act generally have low methodological rigor, and the resulting label changes are not consistently associated with changes in pediatric utilization. Alternative regulatory strategies and study designs may be necessary to maximize the impact of newly generated knowledge on drug utilization.

Abstract Background Although electronic health records (EHRs) are designed to improve patient safety, they have been associated with serious patient harm. An agreed-upon and standard taxonomy for classifying health information technology (HIT) related patient safety events does not exist. Objectives We aimed to develop and evaluate a taxonomy for medication-related patient safety events associated with HIT and validate it using a set of events involving pediatric patients. Methods We performed a literature search to identify existing classifications for HIT-related safety events, which were assessed using real-world pediatric medication-related patient safety events extracted from two sources: patient safety event reporting system (ERS) reports and information technology help desk (HD) tickets. A team of clinical and patient safety experts used iterative tests of change and consensus building to converge on a single taxonomy. The final devised taxonomy was applied to pediatric medication-related events assess its characteristics, including interrater reliability and agreement. Results Literature review identified four existing classifications for HIT-related patient safety events, and one was iteratively adapted to converge on a singular taxonomy. Safety events relating to usability accounted for a greater proportion of ERS reports, compared with HD tickets (37 vs. 20%, p = 0.022). Conversely, events pertaining to incorrect configuration accounted for a greater proportion of HD tickets, compared with ERS reports (63 vs. 8%, p < 0.01). Interrater agreement (%) and reliability (kappa) were 87.8% and 0.688 for ERS reports and 73.6% and 0.556 for HD tickets, respectively. Discussion A standardized taxonomy for medication-related patient safety events related to HIT is presented. The taxonomy was validated using pediatric events. Further evaluation can assess whether the taxonomy is suitable for nonmedication-related events and those occurring in other patient populations. Conclusion Wider application of standardized taxonomies will allow for peer benchmarking and facilitate collaborative interinstitutional patient safety improvement efforts.

AbstractBackgroundThe electronic health record (EHR) is a contributor to serious patient harm occurring within a sociotechnical system. Chemotherapy ordering is a high‐risk task due to the complex nature of ordering workflows and potential detrimental effects if wrong chemotherapeutic doses are administered. Many chemotherapy ordering errors cannot be mitigated through systems‐based changes due to the limited extent to which individual institutions are able to customize proprietary EHR software. We hypothesized that simulation‐based training could improve providers’ ability to identify and mitigate common chemotherapy ordering errors.MethodsPediatric hematology/oncology providers voluntarily participated in simulations using an EHR testing (“Playground”) environment. The number of safety risks identified and mitigated by each provider at baseline was recorded. Risks were reviewed one‐on‐one after initial simulations and at a group “lunch‐and‐learn” session. At three‐month follow‐up, repeat simulations assessed for improvements in error identification and mitigation, and providers were surveyed about prevention of real‐life safety events.ResultsThe 8 participating providers identified and mitigated an average of 5.5 out of 10 safety risks during the initial simulation, compared 7.4 safety risks at the follow up simulation (p=0.030). Two of the providers (25%) reported preventing at least one real‐world patient safety event in the clinical setting as a result of the initial training session.ConclusionsSimulation‐based training may reduce providers’ susceptibility to chemotherapy ordering safety vulnerabilities within the EHR. This approach may be used when systems‐based EHR improvements are not feasible due to limited ability to customize local instances of proprietary EHR software.

Abstract Background Hospital readmissions are a key quality metric, which has been tied to reimbursement. One strategy to reduce readmissions is to direct resources to patients at the highest risk of readmission. This strategy necessitates a robust predictive model coupled with effective, patient-centered interventions. Objective The aim of this study was to reduce unplanned hospital readmissions through the use of artificial intelligence-based clinical decision support. Methods A commercially vended artificial intelligence tool was implemented at a regional hospital in La Crosse, Wisconsin between November 2018 and April 2019. The tool assessed all patients admitted to general care units for risk of readmission and generated recommendations for interventions intended to decrease readmission risk. Similar hospitals were used as controls. Change in readmission rate was assessed by comparing the 6-month intervention period to the same months of the previous calendar year in exposure and control hospitals. Results Among 2,460 hospitalizations assessed using the tool, 611 were designated by the tool as high risk. Sensitivity and specificity for risk assignment were 65% and 89%, respectively. Over 6 months following implementation, readmission rates decreased from 11.4% during the comparison period to 8.1% (p < 0.001). After accounting for the 0.5% decrease in readmission rates (from 9.3 to 8.8%) at control hospitals, the relative reduction in readmission rate was 25% (p < 0.001). Among patients designated as high risk, the number needed to treat to avoid one readmission was 11. Conclusion We observed a decrease in hospital readmission after implementing artificial intelligence-based clinical decision support. Our experience suggests that use of artificial intelligence to identify patients at the highest risk for readmission can reduce quality gaps when coupled with patient-centered interventions.

Abstract Objective The study sought to characterize the evaluation of patients who present following detection of an abnormal pulse using Apple Watch. Materials and Methods We conducted a retrospective review of patients evaluated for abnormal pulse detected using Apple Watch over a 4-month period. Results Among 264 included patients, clinical documentation for 41 (15.5%) explicitly noted an abnormal pulse alert. Preexisting atrial fibrillation was noted in 58 (22.0%). Most commonly performed testing included 12-lead echocardiography (n = 158; 59.8%), Holter monitor (n = 77; 29.2%), and chest x-ray (n = 64; 24.2%). A clinically actionable cardiovascular diagnosis of interest was established in only 30 (11.4%) patients, including 6 of 41 (15%) patients who received an explicit alert. Discussion False positive screening results may lead to overutilization of healthcare resources. Conclusions The Food and Drug Administration and Apple should consider the unintended consequences of widespread screening for asymptomatic (“silent”) atrial fibrillation and use of the Apple Watch abnormal pulse detection functionality by populations in whom the device has not been adequately studied.

Hereditary thrombotic thrombocytopenic purpura is an ultra-rare disorder caused by biallelic mutations in the ADAMTS13 gene. Because it can be difficult to diagnose, plasma ADAMTS13 activity assessment should be considered in patients with thrombocytopenia, anemia, and schistocytes on peripheral blood smear. We present the diagnostic evaluation of a patient with hereditary thrombotic thrombocytopenic purpura. Genetic testing revealed one known pathogenic mutation and one novel mutation of ADAMTS13 classified as likely pathogenic on the basis of parental genetic testing and in silico analyses. We further discuss off-label use of prophylactic plasma-derived Factor VIII (Koate-DVI) and the benefit of rare disease registries.

Abstract Objective To understand the ways in which providers use a mobile photography application integrated with the electronic health record (EHR) to facilitate clinical care, and the process outcomes that result from the application's use. Methods An e-mail survey was sent on November 13, 2017, to 1,463 health care providers at Mayo Clinic who had used an internally developed, EHR-integrated medical photography application. Results The survey was completed by 712 (49%) providers. Providers reported using the application on approximately 1 in 7 days spent in clinical practice. Median provider satisfaction with the use of the application (0–100 scale; higher numbers indicate favorable response) was 94 (interquartile range [IQR]: 74–100). Although the use for store-and-forward telemedicine was reported (22% often or frequently used the application to send photographs to a specialist for advice), the most common use was for clinical documentation (65% often or frequently used the application to supplement text-based notes with photographs, and 71% often or frequently used the application to take photographs for reference by a colleague who may see the patient in the future). Of the health care providers, 36% indicated that the application's use often or frequently expedited treatment. Discussion Health care providers reported using a mobile point-of-care medical photography application regularly in clinical practice and were generally satisfied with the application. Conclusion Point-of-care medical photography using a secure mobile, EHR-integrated application has potential to become a new standard of care for clinical documentation and may facilitate continuity across the continuum of care with multiple providers who see a patient.