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  • Finding missed cases of familial hypercholesterolemia in health systems using machine learning NPJ DIGITAL MEDICINE Banda, J. M., Sarraju, A., Abbasi, F., Parizo, J., Pariani, M., Ison, H., Briskin, E., Wand, H., Dubois, S., Jung, K., Myers, S. A., Rader, D. J., Leader, J. B., Murray, M. F., Myers, K. D., Wilemon, K., Shah, N. H., Knowles, J. W. 2019; 2
  • EVALUATION OF TRENDS IN READMISSION AND MORTALITY RATES AFTER HEART FAILURE HOSPITALIZATION IN THE VETERANS AFFAIRS HEALTH CARE SYSTEM BETWEEN 2007 AND 2017 Parizo, J., Kohsaka, S., Sandhu, A., Patel, J., Heidenreich, P. ELSEVIER SCIENCE INC. 2019: 737
  • Finding missed cases of familial hypercholesterolemia in health systems using machine learning. NPJ digital medicine Banda, J. M., Sarraju, A., Abbasi, F., Parizo, J., Pariani, M., Ison, H., Briskin, E., Wand, H., Dubois, S., Jung, K., Myers, S. A., Rader, D. J., Leader, J. B., Murray, M. F., Myers, K. D., Wilemon, K., Shah, N. H., Knowles, J. W. 2019; 2: 23

    Abstract

    Familial hypercholesterolemia (FH) is an underdiagnosed dominant genetic condition affecting approximately 0.4% of the population and has up to a 20-fold increased risk of coronary artery disease if untreated. Simple screening strategies have false positive rates greater than 95%. As part of the FH Foundation's FIND FH initiative, we developed a classifier to identify potential FH patients using electronic health record (EHR) data at Stanford Health Care. We trained a random forest classifier using data from known patients (n = 197) and matched non-cases (n = 6590). Our classifier obtained a positive predictive value (PPV) of 0.88 and sensitivity of 0.75 on a held-out test-set. We evaluated the accuracy of the classifier's predictions by chart review of 100 patients at risk of FH not included in the original dataset. The classifier correctly flagged 84% of patients at the highest probability threshold, with decreasing performance as the threshold lowers. In external validation on 466 FH patients (236 with genetically proven FH) and 5000 matched non-cases from the Geisinger Healthcare System our FH classifier achieved a PPV of 0.85. Our EHR-derived FH classifier is effective in finding candidate patients for further FH screening. Such machine learning guided strategies can lead to effective identification of the highest risk patients for enhanced management strategies.

    View details for DOI 10.1038/s41746-019-0101-5

    View details for PubMedID 31304370

    View details for PubMedCentralID PMC6550268

  • A novel therapy for an unusual problem: IL-1 receptor antagonist for recurrent post-transplant pericarditis. Clinical transplantation Parizo, J. T., Moayedi, Y., Nieman, K., Town, K., Teuteberg, J. J., Khush, K. K. 2019

    Abstract

    Heart transplant (HTx) recipients are at increased risk of pericardial disease. Idiopathic recurrent pericarditis has not been previously described following HTx. We describe a 35-year-old male who was admitted with pericarditis and moderate pericardial effusion ten months after HTx. Two weeks before his admission, his prednisone had been tapered off. A thorough infectious workup and endomyocardial biopsy was unrevealing. He was started on colchicine with the addition of tapering prednisone regimen of 40 mg daily due to unresolved pain. Over the next several years he had three recurrent episodes of pericarditis requiring re-initiation of prednisone with extensive investigations negative for rejection, autoimmune and infectious causes. Cardiac MRI confirmed pericardial inflammation. Due to his recurrent course and inability to wean off prednisone, anakinra, an IL-1 receptor antagonist, was started at 100 mg sc daily. This allowed successful discontinuation of prednisone. He is now 34 months post-transplant without recurrence on anakinra and colchicine maintenance. Due to the overlap between idiopathic recurrent pericarditis and auto-inflammatory diseases, there is growing evidence for utilizing IL-1 receptor antagonists in this condition. While pericarditis is common in the HTx population, this is the first report of successful use of an IL-1 receptor blocker for pericarditis in this population. This article is protected by copyright. All rights reserved.

    View details for DOI 10.1111/ctr.13699

    View details for PubMedID 31437316

  • Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. The New England journal of medicine Perez, M. V., Mahaffey, K. W., Hedlin, H., Rumsfeld, J. S., Garcia, A., Ferris, T., Balasubramanian, V., Russo, A. M., Rajmane, A., Cheung, L., Hung, G., Lee, J., Kowey, P., Talati, N., Nag, D., Gummidipundi, S. E., Beatty, A., Hills, M. T., Desai, S., Granger, C. B., Desai, M., Turakhia, M. P., Apple Heart Study Investigators, Perez, M. V., Turakhia, M. P., Lhamo, K., Smith, S., Berdichesky, M., Sharma, B., Mahaffey, K., Parizo, J., Olivier, C., Nguyen, M., Tallapalli, S., Kaur, R., Gardner, R., Hung, G., Mitchell, D., Olson, G., Datta, S., Gerenrot, D., Wang, X., McCoy, P., Satpathy, B., Jacobsen, H., Makovey, D., Martin, A., Perino, A., O'Brien, C., Gupta, A., Toruno, C., Waydo, S., Brouse, C., Dorfman, D., Stein, J., Huang, J., Patel, M., Fleischer, S., Doll, E., O'Reilly, M., Dedoshka, K., Chou, M., Daniel, H., Crowley, M., Martin, C., Kirby, T., Brumand, M., McCrystale, K., Haggerty, M., Newberger, J., Keen, D., Antall, P., Holbrook, K., Braly, A., Noone, G., Leathers, B., Montrose, A., Kosowsky, J., Lewis, D., Finkelmeier, J. R., Bemis, K., Mahaffey, K. W., Desai, M., Talati, N., Nag, D., Rajmane, A., Desai, S., Caldbeck, D., Cheung, L., Granger, C., Rumsfeld, J., Kowey, P. R., Hills, M. T., Russo, A., Rockhold, F., Albert, C., Alonso, A., Wruck, L., Friday, K., Wheeler, M., Brodt, C., Park, S., Rogers, A., Jones, R., Ouyang, D., Chang, L., Yen, A., Dong, J., Mamic, P., Cheng, P., Shah, R., Lorvidhaya, P. 2019; 381 (20): 1909–17

    Abstract

    BACKGROUND: Optical sensors on wearable devices can detect irregular pulses. The ability of a smartwatch application (app) to identify atrial fibrillation during typical use is unknown.METHODS: Participants without atrial fibrillation (as reported by the participants themselves) used a smartphone (Apple iPhone) app to consent to monitoring. If a smartwatch-based irregular pulse notification algorithm identified possible atrial fibrillation, a telemedicine visit was initiated and an electrocardiography (ECG) patch was mailed to the participant, to be worn for up to 7 days. Surveys were administered 90 days after notification of the irregular pulse and at the end of the study. The main objectives were to estimate the proportion of notified participants with atrial fibrillation shown on an ECG patch and the positive predictive value of irregular pulse intervals with a targeted confidence interval width of 0.10.RESULTS: We recruited 419,297 participants over 8 months. Over a median of 117 days of monitoring, 2161 participants (0.52%) received notifications of irregular pulse. Among the 450 participants who returned ECG patches containing data that could be analyzed - which had been applied, on average, 13 days after notification - atrial fibrillation was present in 34% (97.5% confidence interval [CI], 29 to 39) overall and in 35% (97.5% CI, 27 to 43) of participants 65 years of age or older. Among participants who were notified of an irregular pulse, the positive predictive value was 0.84 (95% CI, 0.76 to 0.92) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular pulse notification and 0.71 (97.5% CI, 0.69 to 0.74) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular tachogram. Of 1376 notified participants who returned a 90-day survey, 57% contacted health care providers outside the study. There were no reports of serious app-related adverse events.CONCLUSIONS: The probability of receiving an irregular pulse notification was low. Among participants who received notification of an irregular pulse, 34% had atrial fibrillation on subsequent ECG patch readings and 84% of notifications were concordant with atrial fibrillation. This siteless (no on-site visits were required for the participants), pragmatic study design provides a foundation for large-scale pragmatic studies in which outcomes or adherence can be reliably assessed with user-owned devices. (Funded by Apple; Apple Heart Study ClinicalTrials.gov number, NCT03335800.).

    View details for DOI 10.1056/NEJMoa1901183

    View details for PubMedID 31722151

  • Validity of Performance and Outcome Measures for Heart Failure. Circulation. Heart failure Patel, J., Sandhu, A., Parizo, J., Moayedi, Y., Fonarow, G. C., Heidenreich, P. A. 2018; 11 (9): e005035

    Abstract

    Background Numerous quality metrics for heart failure (HF) care now exist based on process and outcome. What remains unclear, however, is if the correct quality metrics are being emphasized. To determine the validity of certain measures, we compared correlations between measures and reliability over time. Measures assessed include guideline-recommended beta-blocker (BB), any BB, angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker, mineralocorticoid receptor antagonist, and hydralazine/isosorbide dinitrate (in blacks) use among candidates, 30-day mortality, 1-year mortality, and 30-day readmission. Methods and Results This was an observational cohort analysis using chart review and electronic resources for 55735 patients from 102 Veterans Affairs medical centers hospitalized with HF from 2008 to 2013. Assessments of convergent validity and reliability were performed. Significant correlations were found between in-hospital rates of ACE inhibitor use and the following measures: BB use, 30-day mortality, and 1-year mortality. Guideline-recommended BB use was also significantly correlated with mineralocorticoid receptor antagonists, 30-day mortality, and 1-year mortality. There was no correlation between 30-day readmission rates and any therapy or mortality. Measure reliability over time was seen for guideline-recommended BBs ( r=0.57), mineralocorticoid receptor antagonists ( r=0.50), 30-day mortality ( r=0.29), and 1-year mortality ( r=0.31). ACE inhibitor and readmission rates were not reliable measures over time. Conclusions BB use, ACE inhibitor use, mortality, and mineralocorticoid receptor antagonist use are valid measures of HF quality. Thirty-day readmission rate did not seem to be a valid measure of HF quality of care. If the goal is to identify high-quality HF care, the emphasis on decreasing readmission rates might be better directed towards improving usage of the recommended therapies.

    View details for PubMedID 30354367

  • Association Between Offering Limited Left Ventricular Ejection Fraction Echocardiograms and Overall Use of Echocardiography JAMA INTERNAL MEDICINE Sandhu, A. T., Parizo, J., Moradi-Ragheb, N., Heidenreich, P. A. 2018; 178 (9): 1270-+
  • Validity of Performance and Outcome Measures for Heart Failure CIRCULATION-HEART FAILURE Patel, J., Sandhu, A., Parizo, J., Moayedi, Y., Fonarow, G. C., Heidenreich, P. A. 2018; 11 (9)
  • Association Between Offering Limited Left Ventricular Ejection Fraction Echocardiograms and Overall Use of Echocardiography. JAMA internal medicine Sandhu, A. T., Parizo, J., Moradi-Ragheb, N., Heidenreich, P. A. 2018

    View details for PubMedID 30039163

  • Novel Therapies for Familial Hypercholesterolemia. Current treatment options in cardiovascular medicine Parizo, J., Sarraju, A., Knowles, J. W. 2016; 18 (11): 64-?

    Abstract

    Both HeFH and HoFH require dietary and lifestyle modification. Pharmacotherapy of adult HeFH patients is largely driven by the American Heart Association (AHA) algorithm. A high-potency statin is started initially with a goal low-density lipoprotein cholesterol (LDL-C) reduction of >50 %. The LDL-C target is adjusted to <100 or <70 mg/dL in subjects with coronary artery disease (CAD) with ezetimibe being second line. If necessary, a third adjunctive therapy, such as a PSCK9 inhibitor (not yet approved in children) or bile acid-binding resin, can be added. Finally, LDL-C apheresis can be considered in patients with LDL-C >300 mg/dL (or >200 mg/dL with significant CAD, although now approved for LDL-C as low as 160 mg/dL with CAD). Due to the early, severe LDL-C elevation in HoFH patients, concerning natural history, rarity of the condition, and nuances of treatment, all HoFH patients should be treated at a pediatric or adult center with HoFH experience. LDL-C apheresis should be considered as early as 5 years of age. However, apheresis availability and tolerability is limited and pharmacotherapy is required. Generally, the AHA algorithm with reference to the European Atherosclerosis Society Consensus Panel recommendations is reasonable with all patients initiated on high-dose, high-potency statin, ezetimibe, and bile acid-binding resins. In most, additional LDL-C lowering is required with PCSK9 inhibitors and/or lomitapide or mipomersen. Liver transplantation can also be considered at experienced centers as a last resort.

    View details for DOI 10.1007/s11936-016-0486-2

    View details for PubMedID 27620638

  • Spatiotemporal Analysis of Malaria in Urban Ahmedabad (Gujarat), India: Identification of Hot Spots and Risk Factors for Targeted Intervention. The American journal of tropical medicine and hygiene Parizo, J., Sturrock, H. J., Dhiman, R. C., Greenhouse, B. 2016; 95 (3): 595-603

    Abstract

    The world population, especially in developing countries, has experienced a rapid progression of urbanization over the last half century. Urbanization has been accompanied by a rise in cases of urban infectious diseases, such as malaria. The complexity and heterogeneity of the urban environment has made study of specific urban centers vital for urban malaria control programs, whereas more generalizable risk factor identification also remains essential. Ahmedabad city, India, is a large urban center located in the state of Gujarat, which has experienced a significant Plasmodium vivax and Plasmodium falciparum disease burden. Therefore, a targeted analysis of malaria in Ahmedabad city was undertaken to identify spatiotemporal patterns of malaria, risk factors, and methods of predicting future malaria cases. Malaria incidence in Ahmedabad city was found to be spatially heterogeneous, but temporally stable, with high spatial correlation between species. Because of this stability, a prediction method utilizing historic cases from prior years and seasons was used successfully to predict which areas of Ahmedabad city would experience the highest malaria burden and could be used to prospectively target interventions. Finally, spatial analysis showed that normalized difference vegetation index, proximity to water sources, and location within Ahmedabad city relative to the dense urban core were the best predictors of malaria incidence. Because of the heterogeneity of urban environments and urban malaria itself, the study of specific large urban centers is vital to assist in allocating resources and informing future urban planning.

    View details for DOI 10.4269/ajtmh.16-0108

    View details for PubMedID 27382081

    View details for PubMedCentralID PMC5014265