O'Horo, John C

Temporal inference from laboratory testing results and triangulation with clinical outcomes extracted from unstructured electronic health record (EHR) provider notes is integral to advancing precision medicine. Here, we studied 246 SARS-CoV-2 PCR-positive (COVID pos ) patients and propensity-matched 2460 SARS-CoV-2 PCR-negative (COVID neg ) patients subjected to around 700,000 lab tests cumulatively across 194 assays. Compared to COVID neg patients at the time of diagnostic testing, COVID pos patients tended to have higher plasma fibrinogen levels and lower platelet counts. However, as the infection evolves, COVID pos patients distinctively show declining fibrinogen, increasing platelet counts, and lower white blood cell counts. Augmented curation of EHRs suggests that only a minority of COVID pos patients develop thromboembolism, and rarely, disseminated intravascular coagulopathy (DIC), with patients generally not displaying platelet reductions typical of consumptive coagulopathies. These temporal trends provide fine-grained resolution into COVID-19 associated coagulopathy (CAC) and set the stage for personalizing thromboprophylaxis.

Background:There are limited data on the outcomes of acute myocardial infarction–cardiogenic shock (AMI-CS) in patients with HIV infection and AIDS.Setting:Twenty percent sample of all US hospitals.Methods:A retrospective cohort of AMI-CS during 2000–2017 from the National Inpatient Sample was evaluated for concomitant HIV and AIDS. Outcomes of interest included in-hospital mortality and use of cardiac procedures. A subgroup analysis was performed for those with and without AIDS within the HIV cohort.Results:A total 557,974 AMI-CS admissions were included, with HIV and AIDS in 1321 (0.2%) and 985 (0.2%), respectively. The HIV cohort was younger (54.1 vs. 69.0 years), more often men, of non-White race, uninsured, from a lower socioeconomic status, and with higher comorbidity (allP< 0.001). The HIV cohort had comparable multiorgan failure (37.8% vs. 39.0%) and cardiac arrest (28.7% vs. 27.4%) (P> 0.05). The cohorts with and without HIV had comparable rates of coronary angiography (70.2% vs. 69.0%;P= 0.37) but less frequent early coronary angiography (hospital day zero) (39.1% vs. 42.5%;P< 0.001). The cohort with HIV had higher unadjusted but comparable adjusted in-hospital mortality compared with those without [26.9% vs. 37.4%; adjusted odds ratio 1.04 (95% confidence interval: 0.90 to 1.21);P= 0.61]. In the HIV cohort, AIDS was associated with higher in-hospital mortality [28.8% vs. 21.1%; adjusted odds ratio 4.12 (95% confidence interval: 1.89 to 9.00);P< 0.001].Conclusions:The cohort with HIV had comparable rates of cardiac procedures and in-hospital mortality; however, those with AIDS had higher in-hospital mortality.

Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVID pos ; n = 2,317) versus COVID-19-negative (COVID neg ; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVID pos over COVID neg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVID pos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.

Abstract Background There are many pharmacologic therapies that are being used or considered for treatment of coronavirus disease 2019 (COVID-19). There is a need for frequently updated practice guidelines on their use, based on critical evaluation of rapidly emerging literature. The objective was to develop evidence-based rapid guidelines intended to support patients, clinicians, and other healthcare professionals in their decisions about treatment and management of patients with COVID-19. Methods The Infectious Diseases Society of America (IDSA) formed a multidisciplinary guideline panel of infectious disease clinicians, pharmacists, and methodologists with varied areas of expertise. Process followed a rapid recommendation checklist. The panel prioritized questions and outcomes. Then a systematic review of the peer-reviewed and gray literature was conducted. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the certainty of evidence and make recommendations. Results The IDSA guideline panel agreed on 7 treatment recommendations and provided narrative summaries of other treatments undergoing evaluations. Conclusions The panel expressed the overarching goal that patients be recruited into ongoing trials, which would provide much-needed evidence on the efficacy and safety of various therapies for COVID-19, given that we could not make a determination whether the benefits outweigh harms for most treatments.

Abstract We performed a case–control study to evaluate an electronic, asynchronous infectious diseases consultative service at 2 rural hospitals within our health system. Patients with consultation via this platform (n = 100) had a significantly decreased odds of death at 30 days compared with propensity-matched controls (n = 300; adjusted odds ratio, 0.3; 95% confidence interval, 0.2–0.7; P = .003).

There are contrasting data on concomitant Impella device in cardiogenic shock patients treated with venoarterial extracorporeal membrane oxygenation (VA ECMO) (ECPELLA). This study sought to compare early mortality in patients with cardiogenic shock treated with ECPELLA in comparison to VA ECMO alone. We reviewed the published literature from 2000 to 2018 for randomized, cohort, case-control, and case series studies evaluating adult patients requiring VA ECMO for cardiogenic shock. Five retrospective observational studies, representing 425 patients, were included. Venoarterial extracorporeal membrane oxygenation with concomitant Impella strategy was used in 27% of the patients. Median age across studies varied between 51 and 63 years with 59–88% patients being male. Use of ECPELLA was associated with higher weaning from VA ECMO and bridging to permanent ventricular assist device or cardiac transplant in three and four studies, respectively. The studies showed moderate heterogeneity with possible publication bias. The two studies that accounted for differences in baseline characteristics between treatment groups reported lower 30 day mortality with ECPELLA versus VA ECMO. The remaining three studies did not adjust for potential confounding and were at high risk for selection bias. In conclusion, ECPELLA is being increasingly used as a strategy in patients with cardiogenic shock. Additional large, high-quality studies are needed to evaluate clinical outcomes with ECPELLA.

Patients with febrile neutropenia (FN) often are subject to antibiotic and diagnostic test overuse. We sought to improve appropriate use of antimicrobials and diagnostic tests for patients with FN. We used a blended quality approach with Lean Six Sigma tools and iterative improvement of a clinical decision aid to guide providers through empirical antimicrobial selection and diagnostic evaluation of patients with FN during a yearlong period. We evaluated the incidence of nonadherence to best practice before, during, and after rollout of a clinical decision aid in conjunction with an educational initiative. At baseline, 71% of patients with FN had at least one critical deviation from best practice. During the project, the percentage decreased to 27.3%; 4 months after the project was completed, the percentage was 33.3% ( P = .04). A clinical decision aid can improve adherence to best practices for the empirical management of FN.

Ventilator-associated events (VAEs) are associated with increased risk of poor outcomes, including death. Bundle practices including thromboembolism prophylaxis, stress ulcer prophylaxis, oral care, and daily sedation breaks and spontaneous breathing trials aim to reduce rates of VAEs and are endorsed as quality metrics in the intensive care units. We sought to create electronic search algorithms (digital signatures) to evaluate compliance with ventilator bundle components as the first step in a larger project evaluating the ventilator bundle effect on VAE. We developed digital signatures of bundle compliance using a retrospective cohort of 542 ICU patients from 2010 for derivation and validation and testing of signature accuracy from a cohort of random 100 patients from 2012. Accuracy was evaluated against manual chart review. Overall, digital signatures performed well, with median sensitivity of 100% (range, 94.4%–100%) and median specificity of 100% (range, 100%–99.8%). Automated ascertainment from electronic medical records accurately assesses ventilator bundle compliance and can be used for quality reporting and research in VAE.

Purpose: The strategy used to improve effective checklist use in intensive care unit (ICU) setting is essential for checklist success. This study aimed to test the hypothesis that an electronic checklist could reduce ICU provider workload, errors, and time to checklist completion, as compared to a paper checklist. Methods: This was a simulation-based study conducted at an academic tertiary hospital. All participants completed checklists for 6 ICU patients: 3 using an electronic checklist and 3 using an identical paper checklist. In both scenarios, participants had full access to the existing electronic medical record system. The outcomes measured were workload (defined using the National Aeronautics and Space Association task load index [NASA-TLX]), the number of checklist errors, and time to checklist completion. Two independent clinician reviewers, blinded to participant results, served as the reference standard for checklist error calculation. Results: Twenty-one ICU providers participated in this study. This resulted in the generation of 63 simulated electronic checklists and 63 simulated paper checklists. The median NASA-TLX score was 39 for the electronic checklist and 50 for the paper checklist ( P = .005). The median number of checklist errors for the electronic checklist was 5, while the median number of checklist errors for the paper checklist was 8 ( P = .003). The time to checklist completion was not significantly different between the 2 checklist formats ( P = .76). Conclusion: The electronic checklist significantly reduced provider workload and errors without any measurable difference in the amount of time required for checklist completion. This demonstrates that electronic checklists are feasible and desirable in the ICU setting.