Subhash Chandra

Dr. Subhash Chandra

Department of Medicine, CHI Health Creighton University Medical Center, Omaha, NE 68131, USA

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2012 in The American Journal of Emergency Medicine
Verified
Journal Article
Closed access
ADAgarwal Dipti
Agarwal Dipti
ZSZachary Soucy
Zachary Soucy
ASAlok Surana
Alok Surana
SCSubhash Chandra
Subhash Chandra

1 July 2011 in Critical Care Medicine
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Journal Article
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AAAdil Ahmed
Adil Ahmed
SCSubhash Chandra
Subhash Chandra
Vitaly HarsevichVitaly Harsevich
Vitaly Harsevich
OGOgnjen Gajic
Ognjen Gajic
BPBrian W. Pickering
Brian W. Pickering
The care of critically ill patients generates large quantities of data. Increasingly, these data are presented to the provider within an electronic medical record. The manner in which data are organized and presented can impact on the ability of users to synthesis that data into meaningful information. The objective of this study was to test the hypothesis that novel user interfaces, which prioritize the display of high-value data to providers within system-based packages, reduce task load, and result in fewer errors of cognition compared with established user interfaces that do not. Randomized crossover study. Academic tertiary referral center. Attending, resident and fellow critical care physicians. Novel health care record user interface. Subjects randomly assigned to either a standard electronic medical record or a novel user interface, were asked to perform a structured task. The task required the subjects to use the assigned electronic environment to review the medical record of an intensive care unit patient said to be actively bleeding for data that formed the basis of answers to clinical questions posed in the form of a structured questionnaire. The primary outcome was task load, measured using the paper version of the NASA-task load index. Secondary outcome measures included time to task completion, number of errors of cognition measured by comparison of subject to post hoc gold standard questionnaire responses, and the quantity of information presented to subjects by each environment. Twenty subjects completed the task on eight patients, resulting in 160 patient-provider encounters (80 in each group). The standard electronic medical record contained a much larger data volume with a median (interquartile range) number of data points per patient of 1008 (895-1183) compared with 102 (77-112) contained within the novel user interface. The median (interquartile range) NASA-task load index values were 38.8 (32-45) and 58 (45-65) for the novel user interface compared with the standard electronic medical record (p < .001). The median (interquartile range) times in seconds taken to complete the task for four consecutive patients were 93 (57-132), 60 (48-71), 68 (48-80), and 54 (42-64) for the novel user interface compared with 145 (109-201), 125 (113-162), 129 (100-145), and 112 (92-123) for the standard interface (p < .0001), respectively. The median (interquartile range) number of errors per provider was 0.5 (0-1) and two (0.25-3) for the novel user interface and standard electronic medical record interface, respectively (p = .007). A novel user interface was designed based on the information needs of intensive care unit providers with a specific goal of development being the reduction of task load and errors of cognition associated with filtering, extracting, and using medical data contained within a comprehensive electronic medical record. The results of this simulated clinical experiment suggest that the configuration of the intensive care unit user interface contributes significantly to the task load, time to task completion, and number of errors of cognition associated with the identification, and subsequent use, of relevant patient data. Task-specific user interfaces, developed from an understanding of provider information requirements, offer advantages over interfaces currently available within a standard electronic medical record.

29 March 2010 in Respirology
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Journal Article
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AMAnant Mohan
Anant Mohan
SCSubhash Chandra
Subhash Chandra
DADipti Agarwal
Dipti Agarwal
RGRandeep Guleria
Randeep Guleria
SBShobha Broor
Shobha Broor
RPRavindra Mohan Pandey
Ravindra Mohan Pandey

7 June 2010 in Canadian Medical Association Journal
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Journal Article
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EHErik P. Hess
Erik P. Hess
DADipti Agarwal
Dipti Agarwal
SCSubhash Chandra
Subhash Chandra
MMMohammed H. Murad
Mohammed H. Murad
PEPatricia J. Erwin
Patricia J. Erwin
ISIan G. Stiell
Ian G. Stiell
Background: The Thrombolysis in Myocardial Infarction (TIMI) risk score uses clinical data to predict the short-term risk of acute myocardial infarction, coronary revascularization or death from any cause. It was originally developed for use in patients with unstable angina or non–ST-elevation myocardial infarction. We sought to expand the clinical application of the TIMI risk score by assessing its prognostic accuracy in patients in the emergency department with potential acute coronary syndromes. Methods: We searched five electronic databases, hand-searched reference lists of included studies and contacted content experts to identify articles for review. We included prospective cohort studies that validated the TIMI risk score in emergency department patients. We performed a meta-regression to determine whether a linear relation exists between TIMI risk score and the cumulative incidence of cardiac events. Results: We included 10 prospective cohort studies (with a total of 17 265 patients) in our systematic review. Data were available for meta-analysis in 8 of the 10 studies. Of patients with a score of zero, 1.8% had a cardiac event within 30 days (sensitivity 97.2%, 95% CI 96.4–97.8; specificity 25.0%, 95% CI 24.3–25.7; positive likelihood ratio 1.30, 95% CI 1.28–1.31; negative likelihood ratio 0.11, 95% CI 0.09–0.15). Meta-regression analysis revealed a strong linear relation between TIMI risk score (p < 0.001) and the cumulative incidence of cardiac events. Interpretation: Although the TIMI risk score is an effective risk stratification tool for patients in the emergency department with potential acute coronary syndromes, it should not be used as the sole means of determining patient disposition.

1 March 2012 in Respiratory Care
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Journal Article
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SCSubhash Chandra
Subhash Chandra
MNMahendra Nehra
Mahendra Nehra
DADipti Agarwal
Dipti Agarwal
AMAnant Mohan
Anant Mohan
To perform a systematic review and meta-analysis of prospectively conducted studies to define diagnostic performance of endobronchial ultrasound-guided transbronchial needle biopsy (EBUS-TBNB) in mediastinal and hilar lymphadenopathy. A comprehensive search was performed using the Embase, Ovid Medline, Ovid Medline In-Process and Other Non-Indexed Citations, All Evidence Based Medicine Reviews-Cochrane Database of Systematic Reviews, American College of Physicians Journal Club, Database of Abstracts of Reviews of Effects (DARE), Cochrane Central Register of Controlled Trials (CCTR), Health Technology Assessment (HTA), and SCOPUS databases, in the second week of November 2010. Studies were selected in 2 phases by 2 reviewers, independently. Data extraction from each study was performed using a standardized data extraction form. Quality assessment of study methodology was done using a checklist that was developed based on a Quality Assessment of Diagnostic Accuracy Studies tool and the nature of the test. Using the 2 × 2 tables, we computed the sensitivity, specificity, and likelihood ratios. The 14 studies included for quantitative data synthesis had a pooled cohort of 1,658 patients, from 8 different countries. The EBUS-TBNB had excellent pooled specificity of 100% (95% CI 0.90-1.00) and a positive likelihood ratio of 5.1 (95% CI 2.7-9.7). The pooled sensitivity was 0.92 (95% CI 0.91-0.93), and the pooled negative likelihood ratio was 0.13 (95% CI 0.09-0.19). The sensitivity of this intervention was not dependent on rapid on-site evaluation use or size of needle used. The pooled diagnostic odds ratio was 62.7 (95% CI 25.7-153.0). Only one major complication was reported, which resulted in early termination of the procedure. Evidence of moderate quality confirms the high diagnostic performance of EBUS-TBNB for mediastinal and hilar lymphadenopathy, both in malignant and non-malignant conditions. Available evidence also demonstrates the safety of this procedure.

1 December 2016 in Transplantation
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Journal Article
Closed access
AMArvind R. Murali
Arvind R. Murali
SCSubhash Chandra
Subhash Chandra
ZSZoe Stewart
Zoe Stewart
BBBruce R. Blazar
Bruce R. Blazar
UFUmar Farooq
Umar Farooq
JDJeffrey Dunkelberg
Jeffrey Dunkelberg
Background Graft-versus-host-disease (GVHD) after liver transplantation (LT) is a deadly complication with very limited data on risk factors, diagnosis and management. We report a case series and a comprehensive review of the literature. Methods Data were systematically extracted from reports of GVHD after LT, and from the United Network for Organ Sharing database. Group comparisons were performed. Results One hundred fifty-six adult patients with GVHD after LT have been reported. Median time to GVHD onset was 28 days. Clinical features were skin rash (92%), pancytopenia (78%), and diarrhea (65%). Six-month mortality with GVHD after LT was 73%. Sepsis was the most common cause of death (60%). Enterobacter bacteremia, invasive aspergillosis, and disseminated Candida infections were frequently reported. Recipient age over 50 years is a risk factor for GVHD after LT. Hepatocellular carcinoma was overrepresented, whereas chronic hepatitis C was underrepresented, in reported United States GVHD cases relative to all United Network for Organ Sharing database LT cases. Mortality rate with treatment of GVHD after LT was 84% with high-dose steroids alone, 75% to 100% with regimens using dose increases of calcineurin inhibitors, and 55% with IL-2 antagonists. Mortality was 25% in small case series using the CD2-blocker alefacept or TNF-α antagonists. Conclusions Age older than 50 years and hepatocellular carcinoma appear to be risk factors for GVHD. Hepatitis C may be protective. High-dose steroids and calcineurin inhibitors are ineffective in the treatment of GVHD after LT. CD2-blockers and TNF-α antagonists appear promising. We propose a diagnostic algorithm to assist clinicians in managing adults with GVHD after LT.