Bio


Dr. Andre Kumar is a Clinical Associate Professor in the Stanford Division of Hospital Medicine with a passion for improving patient care through Point-of-Care Ultrasound (POCUS), clinical research, and education. He earned his MD degree from Tulane University and completed his residency and chief residency in internal medicine at Stanford University, where he also earned a Master's in Education.

As a passionate educator and researcher, Dr. Kumar has completed three randomized trials on POCUS and its impact on patient care. He continues to conduct research and teach POCUS on a local and national level, and is committed to improving the science and education that underlie the next generation of diagnostic tools. He is the lead investigator for a multicenter trial related to ultrasound and COVID-19. He was also an investigator for the ACTT and ACTIV trials for COVID-19, which brought the first COVID-19 therapeutics to patients nationwide. Currently, he is the Stanford Hospital lead for the National Institutes of Health RECOVER trial, a 1 billion dollar effort to understand the long-term effects of COVID-19 on patients.

Dr. Kumar has held numerous leadership positions, including serving as President of the Society of Hospital Medicine (SHM) Bay Area, Director of the Stanford Internal Medicine Procedure Service, Director for the Rathmann Fellowship in Medical Education, Director of the Stanford Medicine Residency Hospitalist Training Track, Associate Course Director and Q4 Lead for Practice of Medicine, Co-Director of Clinical Reasoning, and Co-Director for Advanced Clinical Skills in the School of Medicine

List of publications: https://bit.ly/3eop95i

ClinicalTrials.Gov registration:
https://bit.ly/2TizOmD
https://bit.ly/2zeNBjJ

Media:
https://shorturl.at/rNU46
https://stanfordmedicine.box.com/s/jm3544zdwpihj6bstcv72x76zq9nuzbq
https://bit.ly/33MZa0O
https://bit.ly/3t8HE2u
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Clinical Focus


  • Internal Medicine
  • Hospital Medicine

Academic Appointments


  • Clinical Associate Professor, Medicine

Administrative Appointments


  • Director, Rathmann Fellowship in Medical Education (2022 - Present)
  • Director, Medicine Procedure and Consult Services (2018 - Present)
  • Course Co-Director, Advanced Clinical Skills (2017 - Present)
  • Chief Resident, Stanford Internal Medicine Residency Program (2016 - 2017)
  • Director and Co-Founder, SHAPE Program (Hospitalist Training Track) (2014 - Present)

Honors & Awards


  • Lawrence H. Mathers Award for Exceptional Commitment to Teaching, Stanford University School of Medicine (2023)
  • Research Mentor of the Year Award, Stanford University Department of Medicine (2023)
  • David A Rytand Clinical Teaching Award, Stanford University Department of Medicine (2018, 2022)
  • Henry J. Kaiser Foundation Award for Excellence in Teaching, Stanford University School of Medicine (2018, 2022)
  • Award for Humanism & Excellence in Teaching, Arnold P. Gold Foundation (2017)
  • Resident Teacher of the Year, Stanford Internal Medicine Residency Program (2016)
  • Resident Teacher of the Year, Stanford Internal Medicine Residency Program (2015)
  • Johns Hopkins National Housestaff Research Award, Johns Hopkins School of Medicine (2015)
  • Julian Wolfsohn Award, Stanford Internal Medicine Residency Program (2014)
  • Medical Jeopardy 1st Place, California ACP Chapter (2015)
  • C. Thorpe Ray Internal Medicine Society Award, Tulane University School of Medicine (2013)
  • Harold C. Cummins Award, Tulane University School of Medicine (2013)

Boards, Advisory Committees, Professional Organizations


  • Member, RECOVER National Steering Committee (2021 - 2022)
  • Member, Physicians in Training Committee, Society of Hospital Medicine (2022 - Present)
  • President, Society of Hospital Medicine Bay Area Chapter (2019 - Present)

Professional Education


  • Residency: Stanford University Internal Medicine Residency (2016) CA
  • Medical Education: Tulane University School of Medicine Registrar (2013) LA
  • Master of Education, Stanford University, Education (2019)
  • Board Certification: American Board of Internal Medicine, Internal Medicine (2016)
  • Chief Residency, Stanford University, Internal Medicine
  • Residency, Stanford University, Internal Medicine
  • BS, University of Nevada, Biology

Clinical Trials


  • ACTIV-5 / Big Effect Trial (BET-B) for the Treatment of COVID-19 Recruiting

    This is a platform trial to conduct a series of randomized, double-blind, placebo-controlled trials using common assessments and endpoints in hospitalized adults diagnosed with Coronavirus Disease 2019 (COVID-19). Big Effect Trial (BET) is a proof-of-concept study with the intent of identifying promising treatments to enter a more definitive study. The study will be conducted in up to 70 domestic sites and 5 international sites. The study will compare different investigational therapeutic agents to a common control arm and determine which have relatively large effects. In order to maintain the double blind, each intervention will have a matched placebo. However, the control arm will be shared between interventions and may include participants receiving the matched placebo for a different intervention. The goal is not to determine clear statistical significance for an intervention, but rather to determine which products have clinical data suggestive of efficacy and should be moved quickly into larger studies. Estimates produced from BET will provide an improved basis for designing the larger trial, in terms of sample size and endpoint selection. Products with little indication of efficacy will be dropped on the basis of interim evaluations. In addition, some interventions may be discontinued on the basis of interim futility or efficacy analyses. One or more interventions may be started at any time. The number of interventions enrolling are programmatic decisions and will be based on the number of sites and the pace of enrollment. At the time of enrollment, subjects will be randomized to receive any one of the active arms they are eligible for or placebo. Approximately 200 (100 treatment and 100 shared placebo) subjects will be assigned to each arm entering the platform and a given site will generally have no more than 3 interventions at once. The BET-B stage will evaluate the combination of remdesivir with lenzilumab vs remdesivir with a lenzilumab placebo. The primary objective is to evaluate the clinical efficacy of different investigational therapeutics relative to the control arm in adults hospitalized with COVID-19 according to clinical status (8-point ordinal scale) at Day 8.

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  • A Study to Evaluate the Safety and Efficacy of Tocilizumab in Patients With Severe COVID-19 Pneumonia Not Recruiting

    This study will evaluate the efficacy, safety, pharmacodynamics, and pharmacokinetics of tocilizumab (TCZ) compared with a matching placebo in combination with standard of care (SOC) in hospitalized patients with severe COVID-19 pneumonia.

    Stanford is currently not accepting patients for this trial.

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  • Adaptive COVID-19 Treatment Trial (ACTT) Not Recruiting

    This study is an adaptive, randomized, double-blind, placebo-controlled trial to evaluate the safety and efficacy of novel therapeutic agents in hospitalized adults diagnosed with COVID-19. The study is a multicenter trial that will be conducted in up to approximately 100 sites globally. The study will compare different investigational therapeutic agents to a control arm. There will be interim monitoring to introduce new arms and allow early stopping for futility, efficacy, or safety. If one therapy proves to be efficacious, then this treatment may become the control arm for comparison(s) with new experimental treatment(s). Any such change would be accompanied by an updated sample size. Because background standards of supportive care may evolve/improve over time as more is learned about successful management of COVID-19, comparisons of safety and efficacy will be based on data from concurrently randomized subjects. An independent Data and Safety Monitoring Board (DSMB) will actively monitor interim data to make recommendations about early study closure or changes to study arms. To evaluate the clinical efficacy, as assessed by time to recovery, of different investigational therapeutics as compared to the control arm.

    Stanford is currently not accepting patients for this trial. For more information, please contact NIH sponsored, (650) 493 - 5000.

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  • Learning Outcomes With Point-of-Care Ultrasound Not Recruiting

    Point-of care-ultrasonography has the potential to transform healthcare delivery through its diagnostic and therapeutic utility. Its use has become more widespread across a variety of clinical settings as more investigations have demonstrated its impact on patient care. This includes the use of point-of-care ultrasound by trainees, who are now utilizing this technology as part of their diagnostic assessments of patients. However, there are few studies that examine how efficiently trainees can learn point-of-care ultrasound and which training methods are more effective. The primary objective of this study is to assess whether handheld ultrasound devices, along with a year-long lecture series, improve internal medicine interns' knowledge and image interpretation skills with point-of-care ultrasound. Participants shall be randomized to receive personal access to handheld ultrasound devices to be used for learning vs. no personal access. The primary outcome will assess their interpretive ability with ultrasound images/videos. Secondary outcomes will include rates of device usage and lecture attendance.

    Stanford is currently not accepting patients for this trial.

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  • Predicting Outcomes for Covid-19 Using Sonography Not Recruiting

    This study seeks to investigate the role of lung ultrasound in caring for Covid-19 positive patients and whether it can be used to predict patient deterioration. This information will be vital for healthcare workers who seek to identify Covid-19 pneumonia or patients at risk for deterioration early in the disease course.

    Stanford is currently not accepting patients for this trial.

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All Publications


  • How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine: Fountain of Creativity or Pandora's Box? JAMA internal medicine Li, R., Kumar, A., Chen, J. H. 2023

    View details for DOI 10.1001/jamainternmed.2023.1835

    View details for PubMedID 37115531

  • Point-of-Care Ultrasound Predicts Clinical Outcomes in Patients With COVID-19. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Kumar, A., Weng, I., Graglia, S., Lew, T., Gandhi, K., Lalani, F., Chia, D., Duanmu, Y., Jensen, T., Lobo, V., Nahn, J., Iverson, N., Rosenthal, M., Gordon, A. J., Kugler, J. 2021

    Abstract

    OBJECTIVES: Point-of-care ultrasound (POCUS) detects the pulmonary manifestations of COVID-19 and may predict patient outcomes.METHODS: We conducted a prospective cohort study at four hospitals from March 2020 to January 2021 to evaluate lung POCUS and clinical outcomes of COVID-19. Inclusion criteria included adult patients hospitalized for COVID-19 who received lung POCUS with a 12-zone protocol. Each image was interpreted by two reviewers blinded to clinical outcomes. Our primary outcome was the need for intensive care unit (ICU) admission versus no ICU admission. Secondary outcomes included intubation and supplemental oxygen usage.RESULTS: N=160 patients were included. Among critically ill patients, B-lines (94 vs 76%; P<.01) and consolidations (70 vs 46%; P<.01) were more common. For scans collected within 24hours of admission (N=101 patients), early B-lines (odds ratio [OR] 4.41 [95% confidence interval, CI: 1.71-14.30]; P<.01) or consolidations (OR 2.49 [95% CI: 1.35-4.86]; P<.01) were predictive of ICU admission. Early consolidations were associated with oxygen usage after discharge (OR 2.16 [95% CI: 1.01-4.70]; P=.047). Patients with a normal scan within 24hours of admission were less likely to require ICU admission (OR 0.28 [95% CI: 0.09-0.75]; P<.01) or supplemental oxygen (OR 0.26 [95% CI: 0.11-0.61]; P<.01). Ultrasound findings did not dynamically change over a 28-day scanning window after symptom onset.CONCLUSIONS: Lung POCUS findings detected within 24hours of admission may provide expedient risk stratification for important COVID-19 clinical outcomes, including future ICU admission or need for supplemental oxygen. Conversely, a normal scan within 24hours of admission appears protective. POCUS findings appeared stable over a 28-day scanning window, suggesting that these findings, regardless of their timing, may have clinical implications.

    View details for DOI 10.1002/jum.15818

    View details for PubMedID 34468039

  • Interobserver agreement of lung ultrasound findings of COVID-19. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Kumar, A., Weng, Y., Graglia, S., Chung, S., Duanmu, Y., Lalani, F., Gandhi, K., Lobo, V., Jensen, T., Nahn, J., Kugler, J. 2021

    Abstract

    BACKGROUND: Lung ultrasound (LUS) has received considerable interest in the clinical evaluation of patients with COVID-19. Previously described LUS manifestations for COVID-19 include B-lines, consolidations, and pleural thickening. The interrater reliability (IRR) of these findings for COVID-19 is unknown.METHODS: This study was conducted between March and June 2020. Nine physicians (hospitalists: n = 4; emergency medicine: n = 5) from 3 medical centers independently evaluated n = 20 LUS scans (n = 180 independent observations) collected from patients with COVID-19, diagnosed via RT-PCR. These studies were randomly selected from an image database consisting of COVID-19 patients evaluated in the emergency department with portable ultrasound devices. Physicians were blinded to any patient information or previous LUS interpretation. Kappa values (kappa) were used to calculate IRR.RESULTS: There was substantial IRR on the following items: normal LUS scan (kappa = 0.79 [95% CI: 0.72-0.87]), presence of B-lines (kappa = 0.79 [95% CI: 0.72-0.87]), ≥3 B-lines observed (kappa = 0.72 [95% CI: 0.64-0.79]). Moderate IRR was observed for the presence of any consolidation (kappa = 0.57 [95% CI: 0.50-0.64]), subpleural consolidation (kappa = 0.49 [95% CI: 0.42-0.56]), and presence of effusion (kappa = 0.49 [95% CI: 0.41-0.56]). Fair IRR was observed for pleural thickening (kappa = 0.23 [95% CI: 0.15-0.30]).DISCUSSION: Many LUS manifestations for COVID-19 appear to have moderate to substantial IRR across providers from multiple specialties utilizing differing portable devices. The most reliable LUS findings with COVID-19 may include the presence/count of B-lines or determining if a scan is normal. Clinical protocols for LUS with COVID-19 may require additional observers for the confirmation of less reliable findings such as consolidations.

    View details for DOI 10.1002/jum.15620

    View details for PubMedID 33426734

  • Portable Ultrasound Device Usage and Learning Outcomes Among Internal Medicine Trainees: A Parallel-Group Randomized Trial. Journal of hospital medicine Kumar, A., Weng, Y., Wang, L., Bentley, J., Almli, M., Hom, J., Witteles, R., Ahuja, N., Kugler, J. 2020; 15 (2): e1–e6

    Abstract

    BACKGROUND: Little is known about how to effectively train residents with point-of-care ultrasonography (POCUS) despite increasing usage.OBJECTIVE: This study aimed to assess whether handheld ultrasound devices (HUDs), alongside a year-long lecture series, improved trainee image interpretation skills with POCUS.METHODS: Internal medicine intern physicians (N = 149) at a single academic institution from 2016 to 2018 participated in the study. The 2017 interns (n = 47) were randomized 1:1 to receive personal HUDs (n = 24) for patient care vs no-HUDs (n = 23). All 2017 interns received a repeated lecture series regarding cardiac, thoracic, and abdominal POCUS. Interns were assessed on their ability to interpret POCUS images of normal/abnormal findings. The primary outcome was the difference in end-of-the-year assessment scores between interns randomized to receive HUDs vs not. Secondary outcomes included trainee scores after repeating lectures and confidence with POCUS. Intern scores were also compared with historical (2016, N = 50) and contemporaneous (2018, N = 52) controls who received no lectures.RESULTS: Interns randomized to HUDs did not have significantly higher image interpretation scores (median HUD score: 0.84 vs no-HUD score: 0.84; P = .86). However, HUD interns felt more confident in their abilities. The 2017 cohort had higher scores (median 0.84), compared with the 2016 historical control (median 0.71; P = .001) and 2018 contemporaneous control (median 0.48; P < .001). Assessment scores improved after first-time exposure to the lecture series, while repeated lectures did not improve scores.CONCLUSIONS: Despite feeling more confident, personalized HUDs did not improve interns' POCUS-related knowledge or interpretive ability. Repeated lecture exposure without further opportunities for deliberate practice may not be beneficial for mastering POCUS.

    View details for DOI 10.12788/jhm.3351

    View details for PubMedID 32118565

  • Evaluation of Trainee Competency with Point-of-Care Ultrasonography (POCUS): a Conceptual Framework and Review of Existing Assessments. Journal of general internal medicine Kumar, A., Kugler, J., Jensen, T. 2019

    Abstract

    Point-of-care ultrasonography (POCUS) has the potential to transform healthcare delivery through its diagnostic expediency. Trainee competency with POCUS is now mandated for emergency medicine through the Accreditation Council for Graduate Medical Education (ACGME), and its use is expanding into other medical specialties, including internal medicine. However, a key question remains: how does one define "competency" with this emerging technology? As our trainees become more acquainted with POCUS, it is vital to develop validated methodology for defining and measuring competency amongst inexperienced users. As a framework, the assessment of competency should include evaluations that assess the acquisition and application of POCUS-related knowledge, demonstration of technical skill (e.g., proper probe selection, positioning, and image optimization), and effective integration into routine clinical practice. These assessments can be performed across a variety of settings, including web-based applications, simulators, standardized patients, and real clinical encounters. Several validated assessments regarding POCUS competency have recently been developed, including the Rapid Assessment of Competency in Echocardiography (RACE) or the Assessment of Competency in Thoracic Sonography (ACTS). However, these assessments focus mainly on technical skill and do not expand upon other areas of this framework, which represents a growing need. In this review, we explore the different methodologies for evaluating competency with POCUS as well as discuss current progress in the field of measuring trainee knowledge and technical skill.

    View details for PubMedID 30924088

  • Duty-Hour Flexibility Trial in Internal Medicine NEW ENGLAND JOURNAL OF MEDICINE Kumar, A., Chi, J. 2018; 379 (3): 300
  • To Cure Sometimes, to Relieve Often, to Comfort Always. JAMA internal medicine Kumar, A. n., Allaudeen, N. n. 2016; 176 (6): 731–32

    View details for PubMedID 27110667

  • Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations. JAMA internal medicine Strong, E., DiGiammarino, A., Weng, Y., Kumar, A., Hosamani, P., Hom, J., Chen, J. H. 2023

    View details for DOI 10.1001/jamainternmed.2023.2909

    View details for PubMedID 37459090

  • Researching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design. PloS one Horwitz, L. I., Thaweethai, T., Brosnahan, S. B., Cicek, M. S., Fitzgerald, M. L., Goldman, J. D., Hess, R., Hodder, S. L., Jacoby, V. L., Jordan, M. R., Krishnan, J. A., Laiyemo, A. O., Metz, T. D., Nichols, L., Patzer, R. E., Sekar, A., Singer, N. G., Stiles, L. E., Taylor, B. S., Ahmed, S., Algren, H. A., Anglin, K., Aponte-Soto, L., Ashktorab, H., Bassett, I. V., Bedi, B., Bhadelia, N., Bime, C., Bind, M. C., Black, L. J., Blomkalns, A. L., Brim, H., Castro, M., Chan, J., Charney, A. W., Chen, B. K., Chen, L. Q., Chen, P., Chestek, D., Chibnik, L. B., Chow, D. C., Chu, H. Y., Clifton, R. G., Collins, S., Costantine, M. M., Cribbs, S. K., Deeks, S. G., Dickinson, J. D., Donohue, S. E., Durstenfeld, M. S., Emery, I. F., Erlandson, K. M., Facelli, J. C., Farah-Abraham, R., Finn, A. V., Fischer, M. S., Flaherman, V. J., Fleurimont, J., Fonseca, V., Gallagher, E. J., Gander, J. C., Gennaro, M. L., Gibson, K. S., Go, M., Goodman, S. N., Granger, J. P., Greenway, F. L., Hafner, J. W., Han, J. E., Harkins, M. S., Hauser, K. S., Heath, J. R., Hernandez, C. R., Ho, O., Hoffman, M. K., Hoover, S. E., Horowitz, C. R., Hsu, H., Hsue, P. Y., Hughes, B. L., Jagannathan, P., James, J. A., John, J., Jolley, S., Judd, S. E., Juskowich, J. J., Kanjilal, D. G., Karlson, E. W., Katz, S. D., Kelly, J. D., Kelly, S. W., Kim, A. Y., Kirwan, J. P., Knox, K. S., Kumar, A., Lamendola-Essel, M. F., Lanca, M., Lee-Lannotti, J. K., Lefebvre, R. C., Levy, B. D., Lin, J. Y., Logarbo, B. P., Logue, J. K., Longo, M. T., Luciano, C. A., Lutrick, K., Malakooti, S. K., Mallett, G., Maranga, G., Marathe, J. G., Marconi, V. C., Marshall, G. D., Martin, C. F., Martin, J. N., May, H. T., McComsey, G. A., McDonald, D., Mendez-Figueroa, H., Miele, L., Mittleman, M. A., Mohandas, S., Mouchati, C., Mullington, J. M., Nadkarni, G. N., Nahin, E. R., Neuman, R. B., Newman, L. T., Nguyen, A., Nikolich, J. Z., Ofotokun, I., Ogbogu, P. U., Palatnik, A., Palomares, K. T., Parimon, T., Parry, S., Parthasarathy, S., Patterson, T. F., Pearman, A., Peluso, M. J., Pemu, P., Pettker, C. M., Plunkett, B. A., Pogreba-Brown, K., Poppas, A., Porterfield, J. Z., Quigley, J. G., Quinn, D. K., Raissy, H., Rebello, C. J., Reddy, U. M., Reece, R., Reeder, H. T., Rischard, F. P., Rosas, J. M., Rosen, C. J., Rouphael, N. G., Rouse, D. J., Ruff, A. M., Saint Jean, C., Sandoval, G. J., Santana, J. L., Schlater, S. M., Sciurba, F. C., Selvaggi, C., Seshadri, S., Sesso, H. D., Shah, D. P., Shemesh, E., Sherif, Z. A., Shinnick, D. J., Simhan, H. N., Singh, U., Sowles, A., Subbian, V., Sun, J., Suthar, M. S., Teunis, L. J., Thorp, J. M., Ticotsky, A., Tita, A. T., Tragus, R., Tuttle, K. R., Urdaneta, A. E., Utz, P. J., VanWagoner, T. M., Vasey, A., Vernon, S. D., Vidal, C., Walker, T., Ward, H. D., Warren, D. E., Weeks, R. M., Weiner, S. J., Weyer, J. C., Wheeler, J. L., Whiteheart, S. W., Wiley, Z., Williams, N. J., Wisnivesky, J. P., Wood, J. C., Yee, L. M., Young, N. M., Zisis, S. N., Foulkes, A. S. 2023; 18 (6): e0286297

    Abstract

    SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis.RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms.RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.NCT05172024.

    View details for DOI 10.1371/journal.pone.0286297

    View details for PubMedID 37352211

    View details for PubMedCentralID PMC10289397

  • Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. JAMA Thaweethai, T., Jolley, S. E., Karlson, E. W., Levitan, E. B., Levy, B., McComsey, G. A., McCorkell, L., Nadkarni, G. N., Parthasarathy, S., Singh, U., Walker, T. A., Selvaggi, C. A., Shinnick, D. J., Schulte, C. C., Atchley-Challenner, R., Horwitz, L. I., Foulkes, A. S., RECOVER Consortium, Alba, G. A., Alicic, R., Altman, N., Anglin, K., Argueta, U., Ashktorab, H., Baslet, G., Bassett, I. V., Bateman, L., Bedi, B., Bhattacharyya, S., Bind, M., Blomkalns, A. L., Bonilla, H., Bush, P. A., Castro, M., Chan, J., Charney, A. W., Chen, P., Chibnik, L. B., Chu, H. Y., Clifton, R. G., Costantine, M. M., Cribbs, S. K., Davila Nieves, S. I., Deeks, S. G., Duven, A., Emery, I. F., Erdmann, N., Erlandson, K. M., Ernst, K. C., Farah-Abraham, R., Farner, C. E., Feuerriegel, E. M., Fleurimont, J., Fonseca, V., Franko, N., Gainer, V., Gander, J. C., Gardner, E. M., Geng, L. N., Gibson, K. S., Go, M., Goldman, J. D., Grebe, H., Greenway, F. L., Habli, M., Hafner, J., Han, J. E., Hanson, K. A., Heath, J., Hernandez, C., Hess, R., Hodder, S. L., Hoffman, M. K., Hoover, S. E., Huang, B., Hughes, B. L., Jagannathan, P., John, J., Jordan, M. R., Katz, S. D., Kaufman, E. S., Kelly, J. D., Kelly, S. W., Kemp, M. M., Kirwan, J. P., Klein, J. D., Knox, K. S., Krishnan, J. A., Kumar, A., Laiyemo, A. O., Lambert, A. A., Lanca, M., Lee-Iannotti, J. K., Logarbo, B. P., Longo, M. T., Luciano, C. A., Lutrick, K., Maley, J. H., Marathe, J. G., Marconi, V., Marshall, G. D., Martin, C. F., Matusov, Y., Mehari, A., Mendez-Figueroa, H., Mermelstein, R., Metz, T. D., Morse, R., Mosier, J., Mouchati, C., Mullington, J., Murphy, S. N., Neuman, R. B., Nikolich, J. Z., Ofotokun, I., Ojemakinde, E., Palatnik, A., Palomares, K., Parimon, T., Parry, S., Patterson, J. E., Patterson, T. F., Patzer, R. E., Peluso, M. J., Pemu, P., Pettker, C. M., Plunkett, B. A., Pogreba-Brown, K., Poppas, A., Quigley, J. G., Reddy, U., Reece, R., Reeder, H., Reeves, W. B., Reiman, E. M., Rischard, F., Rosand, J., Rouse, D. J., Ruff, A., Saade, G., Sandoval, G. J., Schlater, S. M., Shepherd, F., Sherif, Z. A., Simhan, H., Singer, N. G., Skupski, D. W., Sowles, A., Sparks, J. A., Sukhera, F. I., Taylor, B. S., Teunis, L., Thomas, R. J., Thorp, J. M., Thuluvath, P., Ticotsky, A., Tita, A. T., Tuttle, K. R., Urdaneta, A. E., Valdivieso, D., VanWagoner, T. M., Vasey, A., Verduzco-Gutierrez, M., Wallace, Z. S., Ward, H. D., Warren, D. E., Weiner, S. J., Welch, S., Whiteheart, S. W., Wiley, Z., Wisnivesky, J. P., Yee, L. M., Zisis, S. 2023

    Abstract

    Importance: SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals.Objective: To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections.Design, Setting, and Participants: Prospective observational cohort study of adults with and without SARS-CoV-2 infection at 85 enrolling sites (hospitals, health centers, community organizations) located in 33 states plus Washington, DC, and Puerto Rico. Participants who were enrolled in the RECOVER adult cohort before April 10, 2023, completed a symptom survey 6 months or more after acute symptom onset or test date. Selection included population-based, volunteer, and convenience sampling.Exposure: SARS-CoV-2 infection.Main Outcomes and Measures: PASC and 44 participant-reported symptoms (with severity thresholds).Results: A total of 9764 participants (89% SARS-CoV-2 infected; 71% female; 16% Hispanic/Latino; 15% non-Hispanic Black; median age, 47 years [IQR, 35-60]) met selection criteria. Adjusted odds ratios were 1.5 or greater (infected vs uninfected participants) for 37 symptoms. Symptoms contributing to PASC score included postexertional malaise, fatigue, brain fog, dizziness, gastrointestinal symptoms, palpitations, changes in sexual desire or capacity, loss of or change in smell or taste, thirst, chronic cough, chest pain, and abnormal movements. Among 2231 participants first infected on or after December 1, 2021, and enrolled within 30 days of infection, 224 (10% [95% CI, 8.8%-11%]) were PASC positive at 6 months.Conclusions and Relevance: A definition of PASC was developed based on symptoms in a prospective cohort study. As a first step to providing a framework for other investigations, iterative refinement that further incorporates other clinical features is needed to support actionable definitions of PASC.

    View details for DOI 10.1001/jama.2023.8823

    View details for PubMedID 37278994

  • Medical Student Documentation Practices and Perspectives Following the 2018 CMS Billing Guidelines. Academic medicine : journal of the Association of American Medical Colleges Farber, O. N., Dahlen, A., Kumar, A. D. 2022; 97 (9): 1256

    View details for DOI 10.1097/ACM.0000000000004779

    View details for PubMedID 36098775

  • Improving the physical exam: a new assessment and evaluation tool for physical examination skills. Diagnosis (Berlin, Germany) Artandi, M., Norcini, J., Garibaldi, B., Thadaney Israni, S., Kugler, J., Kumar, A., Russell, S. 2022

    View details for DOI 10.1515/dx-2022-0014

    View details for PubMedID 35303765

  • Lung Ultrasound Findings in Patients Hospitalized With COVID-19. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Kumar, A., Weng, Y., Duanmu, Y., Graglia, S., Lalani, F., Gandhi, K., Lobo, V., Jensen, T., Chung, S., Nahn, J., Kugler, J. 2021

    Abstract

    OBJECTIVES: Lung ultrasound (LUS) can accurately diagnose several pulmonary diseases, including pneumothorax, effusion, and pneumonia. LUS may be useful in the diagnosis and management of COVID-19.METHODS: This study was conducted at two United States hospitals from 3/21/2020 to 6/01/2020. Our inclusion criteria included hospitalized adults with COVID-19 (based on symptomatology and a confirmatory RT-PCR for SARS-CoV-2) who received a LUS. Providers used a 12-zone LUS scanning protocol. The images were interpreted by the researchers based on a pre-developed consensus document. Patients were stratified by clinical deterioration (defined as either ICU admission, invasive mechanical ventilation, or death within 28days from the initial symptom onset) and time from symptom onset to their scan.RESULTS: N = 22 patients (N = 36 scans) were included. Eleven (50%) patients experienced clinical deterioration. Among N = 36 scans, only 3 (8%) were classified as normal. The remaining scans demonstrated B-lines (89%), consolidations (56%), pleural thickening (47%), and pleural effusion (11%). Scans from patients with clinical deterioration demonstrated higher percentages of bilateral consolidations (50 versus 15%; P = .033), anterior consolidations (47 versus 11%; P = .047), lateral consolidations (71 versus 29%; P = .030), pleural thickening (69 versus 30%; P = .045), but not B-lines (100 versus 80%; P = .11). Abnormal findings had similar prevalences between scans collected 0-6days and 14-28days from symptom onset.DISCUSSION: Certain LUS findings may be common in hospitalized COVID-19 patients, especially for those that experience clinical deterioration. These findings may occur anytime throughout the first 28days of illness. Future efforts should investigate the predictive utility of these findings on clinical outcomes.

    View details for DOI 10.1002/jum.15683

    View details for PubMedID 33665872

  • OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases. Journal of the American Medical Informatics Association : JAMIA Kumar, A., Aikens, R. C., Hom, J., Shieh, L., Chiang, J., Morales, D., Saini, D., Musen, M., Baiocchi, M., Altman, R., Goldstein, M. K., Asch, S., Chen, J. H. 2020

    Abstract

    OBJECTIVE: To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases.MATERIALS AND METHODS: 43 physicians entered orders for 5 simulated clinical cases using a clinical order entry interface with or without access to a previously developed automated order recommender system. Cases were randomly allocated to the recommender system in a 3:2 ratio. A panel of clinicians scored whether the orders placed were clinically appropriate. Our primary outcome included the difference in clinical appropriateness scores. Secondary outcomes included total number of orders, case time, and survey responses.RESULTS: Clinical appropriateness scores per order were comparable for cases randomized to the order recommender system (mean difference -0.11 order per score, 95% CI: [-0.41, 0.20]). Physicians using the recommender placed more orders (median 16 vs 15 orders, incidence rate ratio 1.09, 95%CI: [1.01-1.17]). Case times were comparable with the recommender system. Order suggestions generated from the recommender system were more likely to match physician needs than standard manual search options. Physicians used recommender suggestions in 98% of available cases. Approximately 95% of participants agreed the system would be useful for their workflows.DISCUSSION: User testing with a simulated electronic medical record interface can assess the value of machine learning and clinical decision support tools for clinician usability and acceptance before live deployments.CONCLUSIONS: Clinicians can use and accept machine learned clinical order recommendations integrated into an electronic order entry interface in a simulated setting. The clinical appropriateness of orders entered was comparable even when supported by automated recommendations.

    View details for DOI 10.1093/jamia/ocaa190

    View details for PubMedID 33106874

  • Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science Chiang, J., Kumar, A., Morales, D., Saini, D., Hom, J., Shieh, L., Musen, M., Goldstein, M. K., Chen, J. H. 2020; 2020: 89–97

    Abstract

    Clinical decision support tools that automatically disseminate patterns of clinical orders have the potential to improve patient care by reducing errors of omission and streamlining physician workflows. However, it is unknown if physicians will accept such tools or how their behavior will be affected. In this randomized controlled study, we exposed 34 licensed physicians to a clinical order entry interface and five simulated emergency cases, with randomized availability of a previously developed clinical order recommender system. With the recommender available, physicians spent similar time per case (6.7 minutes), but placed more total orders (17.1 vs. 15.8). The recommender demonstrated superior recall (59% vs 41%) and precision (25% vs 17%) compared to manual search results, and was positively received by physicians recognizing workflow benefits. Further studies must assess the potential clinical impact towards a future where electronic health records automatically anticipate clinical needs.

    View details for PubMedID 32477627

  • Evaluation of Trainee Competency with Point-of-Care Ultrasonography (POCUS): a Conceptual Framework and Review of Existing Assessments JOURNAL OF GENERAL INTERNAL MEDICINE Kumar, A., Kugler, J., Jensen, T. 2019; 34 (6): 1025–31
  • CMS Billing Guidelines and Student Documentation: a New Era or New Burden? JOURNAL OF GENERAL INTERNAL MEDICINE Kumar, A., Chi, J. 2019; 34 (4): 634–35
  • Thrombophilia testing in the inpatient setting: impact of an educational intervention. BMC medical informatics and decision making Kwang, H. n., Mou, E. n., Richman, I. n., Kumar, A. n., Berube, C. n., Kaimal, R. n., Ahuja, N. n., Harman, S. n., Johnson, T. n., Shah, N. n., Witteles, R. n., Harrington, R. n., Shieh, L. n., Hom, J. n. 2019; 19 (1): 167

    Abstract

    Thrombophilia testing is frequently ordered in the inpatient setting despite its limited impact on clinical decision-making and unreliable results in the setting of acute thrombosis or ongoing anticoagulation. We sought to determine the effect of an educational intervention in reducing inappropriate thrombophilia testing for hospitalized patients.During the 2014 academic year, we implemented an educational intervention with a phase implementation design for Internal Medicine interns at Stanford University Hospital. The educational session covering epidemiology, appropriate thrombophilia evaluation and clinical rationale behind these recommendations. Their ordering behavior was compared with a contemporaneous control (non-medicine and private services) and a historical control (interns from prior academic year). From the analyzed data, we determined the proportion of inappropriate thrombophilia testing of each group. Logistic generalized estimating equations were used to estimate odds ratios for inappropriate thrombophilia testing associated with the intervention.Of 2151 orders included, 934 were deemed inappropriate (43.4%). The two intervention groups placed 147 orders. A pooled analysis of ordering practices by intervention groups revealed a trend toward reduction of inappropriate ordering (p = 0.053). By the end of the study, the intervention groups had significantly lower rates of inappropriate testing compared to historical or contemporaneous controls.A brief educational intervention was associated with a trend toward reduction in inappropriate thrombophilia testing. These findings suggest that focused education on thrombophilia testing can positively impact inpatient ordering practices.

    View details for DOI 10.1186/s12911-019-0889-6

    View details for PubMedID 31429747

  • The Role of Technology in the Bedside Encounter. The Medical clinics of North America Kumar, A. n., Liu, G. n., Chi, J. n., Kugler, J. n. 2018; 102 (3): 443–51

    Abstract

    Technology has the potential to both distract and reconnect providers with their patients. The widespread adoption of electronic medical records in recent years pulls physicians away from time at the bedside. However, when used in conjunction with patients, technology has the potential to bring patients and physicians together. The increasing use of point-of-care ultrasound by physicians is changing the bedside encounter by allowing for real-time diagnosis with the treating physician. It is a powerful example of the way technology can be a force for refocusing on the bedside encounter.

    View details for PubMedID 29650066

  • A high value care curriculum for interns: a description of curricular design, implementation and housestaff feedback POSTGRADUATE MEDICAL JOURNAL Hom, J., Kumar, A., Evans, K. H., Svec, D., Richman, I., Fang, D., Smeraglio, A., Holubar, M., Johnson, T., Shah, N., Renault, C., Ahuja, N., Witteles, R., Harman, S., Shieh, L. 2017; 93 (1106): 725–29
  • A high value care curriculum for interns: a description of curricular design, implementation and housestaff feedback. Postgraduate medical journal Hom, J. n., Kumar, A. n., Evans, K. H., Svec, D. n., Richman, I. n., Fang, D. n., Smeraglio, A. n., Holubar, M. n., Johnson, T. n., Shah, N. n., Renault, C. n., Ahuja, N. n., Witteles, R. n., Harman, S. n., Shieh, L. n. 2017

    Abstract

    Most residency programmes do not have a formal high value care curriculum. Our goal was to design and implement a multidisciplinary high value care curriculum specifically targeted at interns.Our curriculum was designed with multidisciplinary input from attendings, fellows and residents at Stanford. Curricular topics were inspired by the American Board of Internal Medicine's Choosing Wisely campaign, Alliance for Academic Internal Medicine, American College of Physicians and Society of Hospital Medicine. Our topics were as follows: introduction to value-based care; telemetry utilisation; lab ordering; optimal approach to thrombophilia work-ups and fresh frozen plasma use; optimal approach to palliative care referrals; antibiotic stewardship; and optimal approach to imaging for low back pain. Our curriculum was implemented at the Stanford Internal Medicine residency programme over the course of two academic years (2014 and 2015), during which 100 interns participated in our high value care curriculum. After each high value care session, interns were offered the opportunity to complete surveys regarding feedback on the curriculum, self-reported improvements in knowledge, skills and attitudinal module objectives, and quiz-based knowledge assessments.The overall survey response rate was 67.1%. Overall, the material was rated as highly useful on a 5-point Likert scale (mean 4.4, SD 0.6). On average, interns reported a significant improvement in their self-rated knowledge, skills and attitudes after the six seminars (mean improvement 1.6 points, SD 0.4 (95% CI 1.5 to 1.7), p<0.001).We successfully implemented a novel high value care curriculum that specifically targets intern physicians.

    View details for PubMedID 28663352

  • Magnitude of Potentially Inappropriate Thrombophilia Testing in the Inpatient Hospital Setting. Journal of hospital medicine Mou, E. n., Kwang, H. n., Hom, J. n., Shieh, L. n., Kumar, A. n., Richman, I. n., Berube, C. n. 2017; 12 (9): 735–38

    Abstract

    Laboratory costs of thrombophilia testing exceed an estimated $650 million (in US dollars) annually. Quantifying the prevalence and financial impact of potentially inappropriate testing in the inpatient hospital setting represents an integral component of the effort to reduce healthcare expenditures. We conducted a retrospective analysis of our electronic medical record to evaluate 2 years' worth of inpatient thrombophilia testing measured against preformulated appropriateness criteria. Cost data were obtained from the Centers for Medicare and Medicaid Services 2016 Clinical Laboratory Fee Schedule. Of the 1817 orders analyzed, 777 (42.7%) were potentially inappropriate, with an associated cost of $40,422. The tests most frequently inappropriately ordered were Factor V Leiden, prothrombin gene mutation, protein C and S activity levels, antithrombin activity levels, and the lupus anticoagulant. Potentially inappropriate thrombophilia testing is common and costly. These data demonstrate a need for institution-wide changes in order to reduce unnecessary expenditures and improve patient care.

    View details for PubMedID 28914278

  • The Illness of Present Histories. Academic medicine : journal of the Association of American Medical Colleges Kumar, A. D., Chi, J. n. 2017; 92 (4): 434–35

    View details for PubMedID 28350609

  • Prevalence and Financial Impact of Inappropriate Thrombophilia Testing in the Inpatient Hospital Setting: A Retrospective Analysis Mou, E., Kwang, H., Hom, J., Shieh, L., Ahuja, N., Harman, S., Johnson, T., Kumar, A., Shah, N., Witteles, R., Berube, C. AMER SOC HEMATOLOGY. 2016
  • A resident-created hospitalist curriculum for internal medicine housestaff. Journal of hospital medicine Kumar, A., Smeraglio, A., Witteles, R., Harman, S., Nallamshetty, S., Rogers, A., Harrington, R., Ahuja, N. 2016; 11 (9): 646-649

    Abstract

    The growth of hospital medicine has led to new challenges, and recent graduates may feel unprepared to meet the expanding clinical duties expected of hospitalists. At our institution, we created a resident-inspired hospitalist curriculum to address the training needs for the next generation of hospitalists. Our program provided 3 tiers of training: (1) clinical excellence through improved training in underemphasized areas of hospital medicine, (2) academic development through required research, quality improvement, and medical student teaching, and (3) career mentorship. In this article, we describe the genesis of our program, our final product, and the challenges of creating a curriculum while being internal medicine residents. Journal of Hospital Medicine 2016. © 2016 Society of Hospital Medicine.

    View details for DOI 10.1002/jhm.2590

    View details for PubMedID 27079160

  • Incidence and financial impact of inappropriate thrombophilia testing in the inpatient hospital setting: a retrospective analysis. Blood Mou, E., Kwang, H., Hom, J., Shieh, L., Ahuja, N., Harman, S., Johnson, T., Kumar, A., Shah, N., Witteles, R., Berube, C. 2016; 128: 2330
  • Troubleshooting the NIHSS: question-and-answer session with one of the designers INTERNATIONAL JOURNAL OF STROKE Martin-Schild, S., Siegler, J. E., Kumar, A. D., Lyden, P. 2015; 10 (8): 1284-1286

    View details for DOI 10.1111/ijs.12196

    View details for Web of Science ID 000367673700022

    View details for PubMedID 26745704

  • Preparing to take the USMLE Step 1: a survey on medical students' self-reported study habits POSTGRADUATE MEDICAL JOURNAL Kumar, A. D., Shah, M. K., Maley, J. H., Evron, J., Gyftopoulos, A., Miller, C. 2015; 91 (1075): 257-261

    Abstract

    The USA Medical Licensing Examination Step 1 is a computerised multiple-choice examination that tests the basic biomedical sciences. It is administered after the second year in a traditional four-year MD programme. Most Step 1 scores fall between 140 and 260, with a mean (SD) of 227 (22). Step 1 scores are an important selection criterion for residency choice. Little is known about which study habits are associated with a higher score.To identify which self-reported study habits correlate with a higher Step 1 score.A survey regarding Step 1 study habits was sent to third year medical students at Tulane University School of Medicine every year between 2009 and 2011. The survey was sent approximately 3 months after the examination.256 out of 475 students (54%) responded. The mean (SD) Step 1 score was 229.5 (22.1). Students who estimated studying more than 8-11 h per day had higher scores (p<0.05), but there was no added benefit with additional study time. Those who reported studying <40 days achieved higher scores (p<0.05). Those who estimated completing >2000 practice questions also obtained higher scores (p<0.01). Students who reported studying in a group, spending the majority of study time on practice questions or taking >40 preparation days did not achieve higher scores.Certain self-reported study habits may correlate with a higher Step 1 score compared with others. Given the importance of achieving a high Step 1 score on residency choice, it is important to further identify which characteristics may lead to a higher score.

    View details for DOI 10.1136/postgradmedj-2014-133081

    View details for Web of Science ID 000355010900004

    View details for PubMedID 25910497

  • Persistent Leukocytosis-Is this a Persistent Problem for Patients with Acute Ischemic Stroke? JOURNAL OF STROKE & CEREBROVASCULAR DISEASES Boehme, A. K., Kumar, A. D., Lyerly, M. J., Gillette, M. A., Siegler, J. E., Albright, K. C., Beasley, T. M., Martin-Schild, S. 2014; 23 (7): 1939-1943

    Abstract

    In the setting of acute ischemic stroke (AIS), leukocytosis has been shown to be an indicator of inflammatory response. Although leukocytosis on admission has been shown to correlate with initial stroke severity in AIS patients, no work has been done to assess if there are differences in transient or persistent leukocytosis in patients without infection. The objective of this study is to determine the clinical significance of persistent versus transient leukocytosis during the early phase of AIS.Patients who presented with AIS to our center within 48 hours of symptom onset between July 2008 and June 2010 were retrospectively identified by chart review. Patients were included if they had leukocytosis on admission (defined as white blood cell count >11,000/μL based on laboratory reference range values). A logistic regression model was used to evaluate persistent leukocytosis (leukocytosis 48 hours after admission) as a predictor of several outcome measures, including good functional outcome (discharge modified Rankin Scale score of 0-2). Marginal effects were used to estimate the probability of poor functional outcome.Of the 438 patients screened, 49 had leukocytosis on admission and of those 24 (49%) had persistent leukocytosis. NIHSS score correlated significantly with persistence of leukocytosis (r = .306; P = .0044). More people with transient leukocytosis (leukocytosis lasting <48 hours) had a good functional outcome (44% versus 16%; P = .006). After adjusting for baseline NIHSS score, persistent leukocytosis was not a significant independent predictor of good functional outcome, but showed an association (OR, 2.5; 95% CI, .562-10.7; P = .2322). Persistent leukocytosis after adjusting for age and NIHSS score at admission is associated with a poor functional outcome, but it is not statistically significant (OR, 2.43; 95% CI, .59-9.87; P = .2151). After controlling for age and NIHSS score on admission, for patients with persistent leukocytosis, the probability of having poor functional outcome at discharge was increased by 16 percentage points.Persistent leukocytosis is associated with higher baseline NIHSS scores. Persistent leukocytosis is tightly linked with baseline stroke severity and is associated with poor patient outcomes. Our study found that patients with persistent leukocytosis are more likely to present with severe strokes and maintain a high NIHSS score at 24 hours after admission, unlike patients without leukocytosis or patients with transient leukocytosis. Furthermore, it appears that persistent leukocytosis outside the setting of an infection negatively impacts the short-term functional outcome of AIS patients. Identifying patients with persistent leukocytosis could help to prognosticate and target patients that may benefit from future anti-inflammatory interventions.

    View details for DOI 10.1016/j.jstrokecerebrovasdis.2014.02.004

    View details for Web of Science ID 000341484400028

    View details for PubMedID 24784010

  • Infections Present on Admission Compared with Hospital-Acquired Infections in Acute Ischemic Stroke Patients JOURNAL OF STROKE & CEREBROVASCULAR DISEASES Boehme, A. K., Kumar, A. D., Dorsey, A. M., Siegler, J. E., Aswani, M. S., Lyerly, M. J., Monlezun, D. J., George, A. J., Albright, K. C., Beasley, T. M., Martin-Schild, S. 2013; 22 (8): E582-E589

    Abstract

    To date, few studies have assessed the influence of infections present on admission (POA) compared with hospital-acquired infections (HAIs) on neurologic deterioration (ND) and other outcome measures in acute ischemic stroke (AIS).Patients admitted with AIS to our stroke center (July 2010 to December 2010) were retrospectively assessed. The following infections were assessed: urinary tract infection, pneumonia, and bacteremia. Additional chart review was performed to determine whether the infection was POA or HAI. We assessed the relationship between infections in ischemic stroke patients and several outcome measures including ND and poor functional outcome. A mediation analysis was performed to assess the indirect effects of HAI, ND, and poor functional outcome.Of the 334 patients included in this study, 77 had any type of infection (23 POA). After adjusting for age, National Institutes of Health Stroke Scale at baseline, glucose on admission, and intravenous tissue plasminogen activator, HAI remained a significant predictor of ND (odds ratio [OR]=8.8, 95% confidence interval [CI]: 4.2-18.7, P<.0001) and poor functional outcome (OR=41.7, 95% CI: 5.2-337.9, P=.005), whereas infections POA were no longer associated with ND or poor functional outcome. In an adjusted analysis, we found that 57% of the effect from HAI infections on poor functional outcome is because of mediation through ND (P<.0001).Our data suggests that HAI in AIS patients increases the odds of experiencing ND and subsequently increases the odds of being discharged with significant disability. This mediated effect suggests a preventable cause of ND that can thereby decrease the odds of poor functional outcomes after an AIS.

    View details for DOI 10.1016/j.jstrokecerebrovasdis.2013.07.020

    View details for Web of Science ID 000327719000048

    View details for PubMedID 23954599

  • Leukocytosis in Patients with Neurologic Deterioration after Acute Ischemic Stroke is Associated with Poor Outcomes JOURNAL OF STROKE & CEREBROVASCULAR DISEASES Kumar, A. D., Boehme, A. K., Siegler, J. E., Gillette, M., Albright, K. C., Martin-Schild, S. 2013; 22 (7): E111-E117

    Abstract

    Neurologic deterioration (ND) after acute ischemic stroke (AIS) has been shown to result in poor outcomes. ND is thought to arise from penumbral excitotoxic cell death caused in part by leukocytic infiltration. Elevated admission peripheral leukocyte levels are associated with poor outcomes in stroke patients who suffer ND, but little is known about the dynamic changes that occur in leukocyte counts around the time of ND. We sought to determine if peripheral leukocyte levels in the days surrounding ND are correlated with poor outcomes.Patients with AIS who presented to our center within 48 hours of symptom onset between July 2008 and June 2010 were retrospectively identified by chart review and screened for ND (defined as an increase in National Institutes of Health Stroke Scale score ≥ 2 within a 24-hour period). Patients were excluded for steroid use during hospitalization or in the month before admission and infection within the 48 hours before or after ND. Demographics, daily leukocyte counts, and poor functional outcome (modified Rankin Scale score 3-6) were investigated.Ninety-six of the 292 (33%) patients screened had ND. The mean age was 69.5 years; 62.5% were male and 65.6% were black. Patients with a poor functional outcome had significantly higher leukocyte and neutrophil levels 1 day before ND (P = .048 and P = .026, respectively), and on the day of ND (P = .013 and P = .007, respectively), compared to patients with good functional outcome.Leukocytosis at the time of ND correlates with poor functional outcomes and may represent a marker of greater cerebral damage through increased parenchymal inflammation.

    View details for DOI 10.1016/j.jstrokecerebrovasdis.2012.08.008

    View details for Web of Science ID 000325874200018

    View details for PubMedID 23031742

  • Identification of Modifiable and Nonmodifiable Risk Factors for Neurologic Deterioration after Acute Ischemic Stroke JOURNAL OF STROKE & CEREBROVASCULAR DISEASES Siegler, J. E., Boehme, A. K., Kumar, A. D., Gillette, M. A., Albright, K. C., Beasley, T. M., Martin-Schild, S. 2013; 22 (7): E207-E213

    Abstract

    Neurologic deterioration (ND) after ischemic stroke has been shown to impact short-term functional outcome and is associated with in-hospital mortality.Patients with acute ischemic stroke who presented between July 2008 and December 2010 were identified and excluded for in-hospital stroke, presentation >48 hours since last seen normal, or unknown time of last seen normal. Clinical and laboratory data, National Institutes of Health Stroke Scale (NIHSS) scores, and episodes of ND (increase in NIHSS score ≥ 2 within a 24-hour period) were investigated.Of the 596 patients screened, 366 were included (median age 65 years; 42.1% female; 65.3% black). Of these, 35.0% experienced ND. Patients with ND were older (69 v 62 years; P < .0001), had more severe strokes (median admission NIHSS score 12 v 5; P < .0001), carotid artery stenosis (27.0% v 16.8%; P = .0275), and coronary artery disease (26.0% v 16.4%; P = .0282) compared to patients without ND. Patients with ND had higher serum glucose on admission than patients without ND (125.5 v 114 mg/dL; P = .0036). After adjusting for crude variables associated with ND, age >65 years, and baseline NIHSS score >14 remained significant independent predictors of ND. In a logistic regression analysis adjusting for age and serum glucose, each 1-point increase in admission NIHSS score was associated with a 7% increase in the odds of ND (odds ratio 1.07; 95% confidence interval 1.04-1.10; P < .0001).Older patients and patients with more severe strokes are more likely to experience ND. Initial stroke severity was the only significant, independent, and modifiable risk factor for ND, amenable to recanalization and reperfusion.

    View details for DOI 10.1016/j.jstrokecerebrovasdis.2012.11.006

    View details for Web of Science ID 000325874200031

    View details for PubMedID 23246190

  • What Change in the National Institutes of Health Stroke Scale Should Define Neurologic Deterioration in Acute Ischemic Stroke? JOURNAL OF STROKE & CEREBROVASCULAR DISEASES Siegler, J. E., Boehme, A. K., Kumar, A. D., Gillette, M. A., Albright, K. C., Martin-Schild, S. 2013; 22 (5): 675-682

    Abstract

    Neurologic deterioration (ND) occurs in one-third of patients with stroke. However, the true incidence of ND and risk for adverse outcomes remains unknown because no standardized definition of ND exists. Our study compared the prognostic value of a range of definitions for ND in patients with acute ischemic stroke (AIS).All patients who presented to our center with AIS within 48 hours of symptom onset between July 2008 and June 2010 were retrospectively identified. Patient demographics, National Institutes of Health Stroke Scale (NIHSS) scores, etiologies of ND, and outcome measures were compared between patients according to a range of ND definitions using receiver operating characteristic analyses.Three hundred forty-seven patients were included. The 2 definitions of ND with the highest sensitivity and specificity for several outcome measures were tested against each other: an increase in the NIHSS score by ≥2 or ≥4 points in a 24-hour period. More than one third (36.9%) of patients experienced ≥2-point ND versus 17.3% with ≥4-point ND. Patients who experienced ND by either definition had prolonged hospitalization (P < .001), poorer functional outcome (discharge modified Rankin Scale score >2; P < .001), and higher discharge NIHSS score (P < .001) compared to patients without ND. Compared to patients without ND, a ≥2-point ND was associated with a 3-fold risk of death (odds ratio 3.120; 95% confidence interval 1.231-7.905; P < .0165) after adjusting for admission NIHSS score, serum glucose, and age.A ≥2-point ND is a sensitive indicator of poor outcome and in-hospital mortality. An accepted definition of ND is needed to systematically study and compare results across trials for ND in patients with stroke.

    View details for DOI 10.1016/j.jstrokecerebrovasdis.2012.04.012

    View details for Web of Science ID 000321550000014

    View details for PubMedID 22727922