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Item Development and Validation of a Prediction Model for Admission After Endoscopic Retrograde Cholangiopancreatography(Elsevier, 2015-12) Coté, Gregory A.; Lynch, Sheryl; Easler, Jeffrey J.; Keen, Alyson; Vassell, Patricia A.; Sherman, Stuart; Hui, Siu; Xu, Huiping; Department of Medicine, IU School of MedicineBACKGROUND & AIMS: In outpatients undergoing endoscopic retrograde cholangiopancreatography (ERCP) with anesthesia, rates of and risk factors for admission are unclear. We aimed to develop a model that would allow physicians to predict hospitalization of patients during postanesthesia recovery. METHODS: We conducted a retrospective study of data from ERCPs performed on outpatients from May 2012 through October 2013 at the Indiana University School of Medicine. Medical records were abstracted for preanesthesia, intra-anesthesia, and early (within the first hour) postanesthesia characteristics potentially associated with admission. Significant factors associated with admission were incorporated into a logistic regression model to identify subgroups with low, moderate, or high probabilities for admission. The population was divided into training (first 12 months) and validation (last 6 months) sets to develop and test the model. RESULTS: We identified 3424 ERCPs during the study period; 10.7% of patients were admitted to the hospital, and 3.7% developed post-ERCP pancreatitis. Postanesthesia recovery times were significantly longer for patients requiring admission (362.6 ± 213.0 minutes vs 218.4 ± 71.8 minutes for patients not admitted; P < .0001). A higher proportion of admitted patients had high-risk indications. Admitted patients also had more severe comorbidities, higher baseline levels of pain, longer procedure times, performance of sphincter of Oddi manometry, higher pain during the first hour after anesthesia, and greater use of opiates or anxiolytics. A multivariate regression model identified patients who were admitted with a high level of accuracy in the training set (area under the curve, 0.83) and fair accuracy in the validation set (area under the curve, 0.78). On the basis of this model, nearly 50% of patients could be classified as low risk for admission. CONCLUSION: By using factors that can be assessed through the first hour after ERCP, we developed a model that accurately predicts which patients are likely to be admitted to the hospital. Rates of admission after outpatient ERCP are low, so a policy of prolonged observation might be unnecessary.Item Exploring Racial and Age Disproportionalities in COVID-19 Positive Pediatric Cohort(Indiana Medical Student Program for Research and Scholarship (IMPRS), 2020-12-15) Freeman, Emily; Song, Yiqiang; Allen, Katie; Hui, Siu; Mendonca, Eneida; Department of Pediatrics, IU School of MedicineBackground: Social and health inequities place marginalized populations at increased risk of contracting the novel coronavirus 2019 (COVID-19). While COVID-19 literature continues to accumulate, there remains a lack of comprehensive epidemiological data on COVID-19 in children. The study aims to identify demographic trends in disease severity amongst COVID-19 positive pediatric patients. Methods: We analyzed the medical records of 2217 laboratory-confirmed COVID-19 pediatric patients, ages 0-18, across Indiana. Working with Regenstrief Institute Center of Biomedical Informatics, data was extracted from the databases of Indiana Network for Patient Care, Indiana University Health, and Eskenazi Health from February 28th, 2020 to July 13th, 2020. Factors of interest were age, race, and ethnicity. The study assessed the clinical outcome of disease severity which was defined by one of the following clinical designations: outpatient management exclusively, emergency care without hospital admission, non-pediatric intensive care unit (PICU) hospitalization, PICU hospitalization, and death. Results: The laboratory confirmed COVID-19 pediatric cohort was composed of 12.2% (N= 270) Black or African American, 49.3% (N=1094) white, and 3.2% (N= 71) American Indian/Alaska Native, Asian/Pacific Islander, and Multiracial combined group. 34.4% of Black or African American patients required emergency (12.2%) or inpatient care (22.2%) while 24.4% white patients required emergency (7.0%) or inpatient care (17.3%). 17.6% of the cohort was 0-5 years old, 24.8% was 6-12 years old, and 57.6% was 13-18 years old. 30.9% of the 0-5 age group required emergency or inpatient care while the percentages of the 6-12 age group and 13-18 age group requiring emergency or inpatient care were 20.6% and 18.9%, respectively. Conclusion: While our data is preliminary and requires additional validation, our exploration of racial and age disproportionalities in pediatric coronavirus severity serves to expand on the current COVID-19 literature and understanding of this virus.Item Hospital outcomes in non-surgical patients identified at risk for OSA(Elsevier, 2020) Khan, Sikandar H.; Manchanda, Shalini; Sigua, Ninotchka L.; Green, Erika; Mpofu, Philani B.; Hui, Siu; Khan, Babar A.; Medicine, School of MedicineBackground: In-hospital respiratory outcomes of non-surgical patients with undiagnosed obstructive sleep apnea (OSA), particularly those with significant comorbidities are not well defined. Undiagnosed and untreated OSA may be associated with increased cardiopulmonary morbidity. Study objectives: Evaluate respiratory failure outcomes in patients identified as at-risk for OSA by the Berlin Questionnaire (BQ). Methods: This was a retrospective study conducted using electronic health records at a large health system. The BQ was administered at admission to screen for OSA to medical-service patients under the age of 80 years old meeting the following health system criteria: (1) BMI greater than 30; (2) any of the following comorbid diagnoses: hypertension, heart failure, acute coronary syndrome, pulmonary hypertension, arrhythmia, cerebrovascular event/stroke, or diabetes. Patients with known OSA or undergoing surgery were excluded. Patients were classified as high-risk or low-risk for OSA based on the BQ score as follows: low-risk (0 or 1 category with a positive score on the BQ); high-risk (2 or more categories with a positive score on BQ). The primary outcome was respiratory failure during index hospital stay defined by any of the following: orders for conventional ventilation or intubation; at least two instances of oxygen saturation less than 88% by pulse oximetry; at least two instances of respiratory rate over 30 breaths per minute; and any orders placed for non-invasive mechanical ventilation without a previous diagnosis of sleep apnea. Propensity scores were used to control for patient characteristics. Results: Records of 15,253 patients were assessed. There were no significant differences in the composite outcome of respiratory failure by risk of OSA (high risk: 11%, low risk: 10%, p = 0.55). When respiratory failure was defined as need for ventilation, more patients in the low-risk group experienced invasive mechanical ventilation (high-risk: 1.8% vs. low-risk: 2.3%, p = 0.041). Mortality was decreased in patients at high-risk for OSA (0.86%) vs. low risk for OSA (1.53%, p < 0.001). Conclusions: Further prospective studies are needed to understand the contribution of undiagnosed OSA to in-hospital respiratory outcomes.Item Identifying and Characterizing a Chronic Cough Cohort Through Electronic Health Records(Elsevier, 2021-06) Weiner, Michael; Dexter, Paul R.; Heithoff, Kim; Roberts, Anna R.; Liu, Ziyue; Griffith, Ashley; Hui, Siu; Schelfhout, Jonathan; Dicpinigaitis, Peter; Doshi, Ishita; Weaver, Jessica P.; Medicine, School of MedicineBackground Chronic cough (CC) of 8 weeks or more affects about 10% of adults and may lead to expensive treatments and reduced quality of life. Incomplete diagnostic coding complicates identifying CC in electronic health records (EHRs). Natural language processing (NLP) of EHR text could improve detection. Research Question Can NLP be used to identify cough in EHRs, and to characterize adults and encounters with CC? Study Design and Methods A Midwestern EHR system identified patients aged 18 to 85 years during 2005 to 2015. NLP was used to evaluate text notes, except prescriptions and instructions, for mentions of cough. Two physicians and a biostatistician reviewed 12 sets of 50 encounters each, with iterative refinements, until the positive predictive value for cough encounters exceeded 90%. NLP, International Classification of Diseases, 10th revision, or medication was used to identify cough. Three encounters spanning 56 to 120 days defined CC. Descriptive statistics summarized patients and encounters, including referrals. Results Optimizing NLP required identifying and eliminating cough denials, instructions, and historical references. Of 235,457 cough encounters, 23% had a relevant diagnostic code or medication. Applying chronicity to cough encounters identified 23,371 patients (61% women) with CC. NLP alone identified 74% of these patients; diagnoses or medications alone identified 15%. The positive predictive value of NLP in the reviewed sample was 97%. Referrals for cough occurred for 3.0% of patients; pulmonary medicine was most common initially (64% of referrals). Limitations Some patients with diagnosis codes for cough, encounters at intervals greater than 4 months, or multiple acute cough episodes may have been misclassified. Interpretation NLP successfully identified a large cohort with CC. Most patients were identified through NLP alone, rather than diagnoses or medications. NLP improved detection of patients nearly sevenfold, addressing the gap in ability to identify and characterize CC disease burden. Nearly all cases appeared to be managed in primary care. Identifying these patients is important for characterizing treatment and unmet needs.Item The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional learning health system(Wiley, 2021-07) Schleyer, Titus; Williams, Linda; Gottlieb, Jonathan; Weaver, Christopher; Saysana, Michele; Azar, Jose; Sadowski, Josh; Frederick, Chris; Hui, Siu; Kara, Areeba; Ruppert, Laura; Zappone, Sarah; Bushey, Michael; Grout, Randall; Embi, Peter J.; Medicine, School of MedicineIntroduction Learning health systems (LHSs) are usually created and maintained by single institutions or healthcare systems. The Indiana Learning Health System Initiative (ILHSI) is a new multi-institutional, collaborative regional LHS initiative led by the Regenstrief Institute (RI) and developed in partnership with five additional organizations: two Indiana-based health systems, two schools at Indiana University, and our state-wide health information exchange. We report our experiences and lessons learned during the initial 2-year phase of developing and implementing the ILHSI. Methods The initial goals of the ILHSI were to instantiate the concept, establish partnerships, and perform LHS pilot projects to inform expansion. We established shared governance and technical capabilities, conducted a literature review-based and regional environmental scan, and convened key stakeholders to iteratively identify focus areas, and select and implement six initial joint projects. Results The ILHSI successfully collaborated with its partner organizations to establish a foundational governance structure, set goals and strategies, and prioritize projects and training activities. We developed and deployed strategies to effectively use health system and regional HIE infrastructure and minimize information silos, a frequent challenge for multi-organizational LHSs. Successful projects were diverse and included deploying a Fast Healthcare Interoperability Standards (FHIR)-based tool across emergency departments state-wide, analyzing free-text elements of cross-hospital surveys, and developing models to provide clinical decision support based on clinical and social determinants of health. We also experienced organizational challenges, including changes in key leadership personnel and varying levels of engagement with health system partners, which impacted initial ILHSI efforts and structures. Reflecting on these early experiences, we identified lessons learned and next steps. Conclusions Multi-organizational LHSs can be challenging to develop but present the opportunity to leverage learning across multiple organizations and systems to benefit the general population. Attention to governance decisions, shared goal setting and monitoring, and careful selection of projects are important for early success.Item Interaction between cognitive impairment and discharge destination and its effect on rehospitalization(Wiley, 2013-11) Nazir, Arif; LaMantia, Michael; Chodosh, Joshua; Khan, Babar; Campbell, Noll; Hui, Siu; Boustani, Malaz; Medicine, School of MedicineOBJECTIVES: To evaluate the effect of cognitive impairment on rehospitalization in older adults. DESIGN: One-year longitudinal study. SETTING: Medical service of an urban, 340-bed public hospital in Indianapolis between July 2006 and March 2008. PARTICIPANTS: Individuals aged 65 and older admitted to the medical service (N = 976). MEASUREMENTS: Rehospitalization was defined as any hospital admission after the index admission. Participant demographics, discharge destination, Charlson Comorbidity Index, Acute Physiology Score, and prior hospitalizations were measured as the confounders. Participants were considered to have cognitive impairment if they had two or more errors on the Short Portable Mental Status Questionnaire. RESULTS: After adjusting for confounders, a significant interaction between cognitive impairment and discharge location was found to predict rehospitalization rate (P = .008) and time to 1-year rehospitalization (P = .03). Participants with cognitive impairment discharged to a facility had a longer time to rehospitalization (median 142 days) than participants with no cognitive impairment (median 98 days) (hazard ratio (HR) = 0.77, 95% confidence interval (CI) = 0.58-1.02, P = .07), whereas participants with cognitive impairment discharged to home had a slightly shorter time to rehospitalization (median 182 days) than those without cognitive impairment (median 224 days) (HR = 1.15, 95% CI = 0.92-1.43, P = .23). These two nonsignificant HRs in opposite directions were significantly different from each other (P = .03). CONCLUSION: Discharge destination modifies the association between cognitive impairment and rehospitalization. Of participants discharged to a facility, those without cognitive impairment had higher rehospitalization rates, whereas the rates were similar between cognitively impaired and intact participants discharged to the community.Item Patients' attitudes of dementia screening across the Atlantic(Wiley, 2009-06) Justiss, Michael D.; Boustani, Malaz; Fox, Chris; Katona, Cornelius; Perkins, Anthony J.; Healey, Patrick J.; Sachs, Greg; Hui, Siu; Callahan, Christopher M.; Hendrie, Hugh C.; Scott, Emma; Department of Medicine, IU School of MedicineBACKGROUND: Dementia is a common and growing global public health problem. It leads to a high burden of suffering for society with an annual cost of $100 billion in the US and $10 billion in the UK. New strategies for both treatment and prevention of dementia are currently being developed. Implementation of these strategies will depend on the presence of a viable community or primary care based dementia screening and diagnosis program and patient acceptance of such a program. OBJECTIVE: To compare the acceptance, perceived harms and perceived benefits of dementia screening among older adults receiving their care in two different primary health care systems in two countries. DESIGN: A Cross-sectional study. SETTING: Primary care clinics in Indianapolis, USA and Kent, UK. PARTICIPANTS: A convenience sample of 245 older adults (Indianapolis, n = 125; Kent, n = 120). OUTCOMES: Acceptance of dementia screening and its perceived harms and benefits as determined by a 52-item questionnaire (PRISM-PC questionnaire). RESULTS: Four of the five domains were significantly different across the two samples. The UK sample had significantly higher dementia screening acceptance scores (p < 0.05); higher perceived stigma scores (p < 0.05); higher perceived loss of independence scores (p < 0.01); and higher perceived suffering scores (p < 0.01) than the US sample. Both groups perceived dementia screening as beneficial (p = 0.218). After controlling for prior experience with dementia, acceptance and stigma were marginalized. CONCLUSIONS: Older adults attending primary care clinics across the Atlantic value dementia screening but have significant concerns about dementia screening although these concerns differed between the two countries. Low acceptance rates and high rates of perceived harms might be a significant barrier for the introduction of treatment or preventive methods for dementia in the future.Item Quantifying Unmet Need in Statin-Treated Hyperlipidemia Patients and the Potential Benefit of Further LDL-C Reduction Through an EHR-Based Retrospective Cohort Study(Academy of Managed Care Pharmacy, 2019) Schleyer, Titus; Hui, Siu; Wang, Jane; Zhang, Zuoyi; Knapp, Kristina; Baker, Jarod; Chase, Monica; Boggs, Robert; Simpson, Ross J., Jr.; Medicine, School of MedicineBackground: Statins are effective in helping prevent cardiovascular disease (CVD). However, studies suggest that only 20%-64% of patients taking statins achieve reasonable low-density lipoprotein cholesterol (LDL-C) thresholds. On-treatment levels of LDL-C remain a key predictor of residual CVD event risk. Objectives: To (a) determine how many patients on statins achieved the therapeutic threshold of LDL-C < 100 mg per dL (general cohort) and < 70 mg per dL (secondary prevention cohort, or subcohort, with preexisting CVD); (b) estimate the number of potentially avoidable CVD events if the threshold were reached; and (c) forecast potential cost savings. Methods: A retrospective, longitudinal cohort study using electronic health record data from the Indiana Network for Patient Care (INPC) was conducted. The INPC provides comprehensive information about patients in Indiana across health care organizations and care settings. Patients were aged > 45 years and seen between January 1, 2012, and October 31, 2016 (ensuring study of contemporary practice), were statin-naive for 12 months before the index date of initiating statin therapy, and had an LDL-C value recorded 6-18 months after the index date. Subsequent to descriptive cohort analysis, the theoretical CVD risk reduction achievable by reaching the threshold was calculated using Framingham Risk Score and Cholesterol Treatment Trialists' Collaboration formulas. Estimated potential cost savings used published first-year costs of CVD events, adjusted for inflation and discounted to the present day. Results: Of the 89,267 patients initiating statins, 30,083 (33.7%) did not achieve the LDL-C threshold (subcohort: 58.1%). In both groups, not achieving the threshold was associated with patients who were female, black, and those who had reduced medication adherence. Higher levels of preventive aspirin use and antihypertensive treatment were associated with threshold achievement. In both cohorts, approximately 64% of patients above the threshold were within 30 mg per dL of the respective threshold. Adherence to statin therapy regimen, judged by a medication possession ratio of ≥ 80%, was 57.4% in the general cohort and 56.7% in the subcohort. Of the patients who adhered to therapy, 23.7% of the general cohort and 50.5% of the subcohort had LDL-C levels that did not meet the threshold. 10-year CVD event risk in the at-or-above threshold group was 22.78% (SD = 17.24%) in the general cohort and 29.56% (SD = 18.19%) in the subcohort. By reducing LDL-C to the threshold, a potential relative risk reduction of 14.8% in the general cohort could avoid 1,173 CVD events over 10 years (subcohort: 15.7% and 454 events). Given first-year inpatient and follow-up costs of $37,300 per CVD event, this risk reduction could save about $1,455 per patient treated to reach the threshold (subcohort: $1,902; 2017 U.S. dollars) over a 10-year period. Conclusions: Across multiple health care systems in Indiana, between 34% (general cohort) and 58% (secondary prevention cohort) of patients treated with statins did not achieve therapeutic LDL-C thresholds. Based on current CVD event risk and cost projections, such patients seem to be at increased risk and may represent an important and potentially preventable burden on health care costs. Disclosures: Funding support for this study was provided by Merck (Kenilworth, NJ). Chase and Boggs are employed by Merck. Simpson is a consultant to Merck and Pfizer. The other authors have nothing to disclose.Item Timing of Do‐Not‐Resuscitate Orders for Hospitalized Older Adults Who Require a Surrogate Decision‐Maker(2011-07) Torke, Alexia M.; Sachs, Greg A.; Helft, Paul R.; Petronio, Sandra; Purnell, Christianna E.; Hui, Siu; Callahan, Christopher M.OBJECTIVES: To examine the frequency of surrogate decisions for in-hospital do-not-resuscitate (DNR) orders and the timing of DNR order entry for surrogate decisions. DESIGN: Retrospective cohort study. SETTING: Large, urban, public hospital. PARTICIPANTS: Hospitalized adults aged 65 and older over a 3-year period (1/1/2004–12/31/2006) with a DNR order during their hospital stay. MEASUREMENTS: Electronic chart review provided data on frequency of surrogate decisions, patient demographic and clinical characteristics, and timing of DNR orders.