The Clinical Emergency Data Registry: Structure, Use, and Limitations for Research

The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database. The CEDR data structure is organized around clinical episodes, which contain multiple data elements that are standardized using common data elements and are mapped to established terminologies to enable interoperability and data sharing. The data elements include patient demographics, clinical characteristics, diagnostic and treatment procedures, and outcomes. Key limitations include the limited generalizability due to the selective nature of participating EDs and the limited validation and completeness of data elements not currently used for quality reporting purposes, including demographic data. Nonetheless, CEDR holds great potential for ongoing and future research in emergency medicine due to its large-volume, longitudinal, near real-time, clinical data. In 2021, the American College of Emergency Physicians authorized the transition from CEDR to the Emergency Medicine Data Institute, which will catalyze investments in improved data quality and completeness for research to advance emergency care.

Payment Innovation in Emergency Care: A Case for Global Clinician Budgets

The fee-for-service funding model for US emergency department (ED) clinician groups is increasingly fragile. Traditional fee-for-service payment systems offer no financial incentives to improve quality, address population health, or make value-based clinical decisions. Fee-for-service also does not support maintaining ED capacity to handle peak demand periods. In fee-for-service, clinicians rely heavily on cross-subsidization, where high reimbursement from commercial payors offsets low reimbursement from government payors and the uninsured. Although fee-for-service survived decades of steady cuts in government reimbursement rates, it is increasingly strained because of visit volatility and the effects of the No Surprises Act, which is driving down commercial reimbursement. Financial pressures on ED clinician groups and higher hospital boarding and clinical workloads are increasing workforce attrition. Here, we propose an alternative model to address some of these fundamental issues: an all-payer-funded, voluntary global budget for ED clinician services. If designed and implemented effectively, the model could support robust clinician staffing over the long term, ensure stability in clinical workload, and potentially improve equity in payments. The model could also be combined with population health programs (eg, pre-ED and post-ED telehealth, frequent ED use programs, and other innovations), offering significant payer returns and addressing quality and value. A linked program could also change hospital incentives that contribute to boarding. Strategies exist to test and refine ED clinician global budgets through existing government programs in Maryland and potentially through state-level legislation as a precursor to broader adoption.

Ethnic and racial differences in self-reported symptoms, health status, activity level, and missed work at 3 and 6 months following SARS-CoV-2 infection

Introduction

Data on ethnic and racial differences in symptoms and health-related impacts following SARS-CoV-2 infection are limited. We aimed to estimate the ethnic and racial differences in symptoms and health-related impacts 3 and 6 months after the first SARS-CoV-2 infection.

Methods

Participants included adults with SARS-CoV-2 infection enrolled in a prospective multicenter US study between 12/11/2020 and 7/4/2022 as the primary cohort of interest, as well as a SARS-CoV-2-negative cohort to account for non-SARS-CoV-2-infection impacts, who completed enrollment and 3-month surveys (N = 3,161; 2,402 SARS-CoV-2-positive, 759 SARS-CoV-2-negative). Marginal odds ratios were estimated using GEE logistic regression for individual symptoms, health status, activity level, and missed work 3 and 6 months after COVID-19 illness, comparing each ethnicity or race to the referent group (non-Hispanic or white), adjusting for demographic factors, social determinants of health, substance use, pre-existing health conditions, SARS-CoV-2 infection status, COVID-19 vaccination status, and survey time point, with interactions between ethnicity or race and time point, ethnicity or race and SARS-CoV-2 infection status, and SARS-CoV-2 infection status and time point.

Results

Following SARS-CoV-2 infection, the majority of symptoms were similar over time between ethnic and racial groups. At 3 months, Hispanic participants were more likely than non-Hispanic participants to report fair/poor health (OR: 1.94; 95%CI: 1.36-2.78) and reduced activity (somewhat less, OR: 1.47; 95%CI: 1.06-2.02; much less, OR: 2.23; 95%CI: 1.38-3.61). At 6 months, differences by ethnicity were not present. At 3 months, Other/Multiple race participants were more likely than white participants to report fair/poor health (OR: 1.90; 95% CI: 1.25-2.88), reduced activity (somewhat less, OR: 1.72; 95%CI: 1.21-2.46; much less, OR: 2.08; 95%CI: 1.18-3.65). At 6 months, Asian participants were more likely than white participants to report fair/poor health (OR: 1.88; 95%CI: 1.13-3.12); Black participants reported more missed work (OR, 2.83; 95%CI: 1.60-5.00); and Other/Multiple race participants reported more fair/poor health (OR: 1.83; 95%CI: 1.10-3.05), reduced activity (somewhat less, OR: 1.60; 95%CI: 1.02-2.51; much less, OR: 2.49; 95%CI: 1.40-4.44), and more missed work (OR: 2.25; 95%CI: 1.27-3.98).

Discussion

Awareness of ethnic and racial differences in outcomes following SARS-CoV-2 infection may inform clinical and public health efforts to advance health equity in long-term outcomes.

Deferral of Estimated Glomerular Filtration Rate Testing Before Contrast-Enhanced CT in Low-Risk Emergency Department Patients: Assessment of Safety and Impact on Throughput

OBJECTIVE

To assess the safety and utility of deferring estimated glomerular filtration rate (eGFR) testing before contrast-enhanced CT (CECT) in low-risk emergency department (ED) patients.

METHODS

A new question was added to CECT order screens, allowing ordering ED providers to defer eGFR testing in patients deemed low risk for contrast-induced acute kidney injury (AKI). Low risk was defined as no known chronic kidney disease (CKD) or risk factors for AKI or CKD. Patients on chronic dialysis were deemed low risk. The project included three phases: baseline, pilot (optional order question), and full implementation (required order question). Outcomes were operational throughput metrics of CECT order to protocol (O to P) and order to begin (O to B) times. As a balancing safety measure, the proportion of patients deemed to be "low risk" and subsequently found to have eGFR value less than 30 mL/min/1.73 m2 was reported.

RESULTS

A total of 16,446 CECT studies were included from four EDs. In the pilot phase, provider engagement rates with the question were low (5%-14%). After full implementation, median O to P time improved from 23.93 min at baseline to 13.02 (P < .0001) and median O to B time improved from 80.34 min to 76.48 (P = .0002). In 0.3% (2 of 646) studies, CECT was completed in patients categorized as low risk by the ED provider with subsequently resulted eGFR <30 mL/min/1.73 m2.

DISCUSSION

Upfront clinical risk assessment for AKI and CKD by ED providers can be used to safely defer eGFR testing and improve operational performance for patients requiring CECT.

Development and Internal Validation of an Emergency Department Admission Intensity Measure Using Data From a National Group

STUDY OBJECTIVE

We develop and assess variation in an emergency department (ED) admission intensity measure intended for value-based payment models. The measure includes ED diagnoses amenable to evidence-based protocols and where admission decisions vary based on physician discretion.

METHODS

Measure International Classification of Diseases (ICD)-10 codes were selected by face validity by 3 emergency physicians using expertise and administrative data. Feedback was sought from a separate technical panel. Using data from a national group (2018 to 2019), we assessed measure stability at the physician and facility level by quarter using descriptive plots, multilevel linear probability models, and intraclass correlation coefficients (ICC).

RESULTS

A total of 535 ICD-10 measure codes were selected from 23,590 codes. Across 127 EDs, facility-quarter admission rates averaged 26.1% (95% confidence interval [CI] 24.5 to 27.7). Between- and within-facility standard deviations were 9.2 (95% CI 8.2 to 10.5) and 2.9 (95% CI 2.7 to 3.0), respectively, with an ICC of 0.91. Most ED-quarters (749/961) fell within 2.5% of their facility's average. Among 2,398 physicians, quarterly rates averaged 29.1% (95% CI 28.6 to 29.6). The between- and within-physician standard deviation was 6.3 (95% CI 6.1 to 6.5) and 5.3 (95% CI 5.3 to 5.4), respectively, with an ICC of 0.58; 220 physicians (9.2%) had an admission rate consistently higher than average and 193 (8.0%) consistently lower.

CONCLUSION

This set of ICD-10 diagnoses demonstrates face validity and stability for quarterly admission rates at the facility and physician levels. The measure may be useful to monitor facility admission rates in value-based models and reliably identify high and low admitters within facilities to manage admission variation.

National Institute on Drug Abuse Clinical Trials Network Meeting Report: Advancing Emergency Department Initiation of Buprenorphine for Opioid Use Disorder

Opioid use disorder and opioid overdose deaths are a major public health crisis, yet highly effective evidence-based treatments are available that reduce morbidity and mortality. One such treatment, buprenorphine, can be initiated in the emergency department (ED). Despite evidence of efficacy and effectiveness for ED-initiated buprenorphine, universal uptake remains elusive. On November 15 and 16, 2021, the National Institute on Drug Abuse Clinical Trials Network convened a meeting of partners, experts, and federal officers to identify research priorities and knowledge gaps for ED-initiated buprenorphine. Meeting participants identified research and knowledge gaps in 8 categories, including ED staff and peer-based interventions; out-of-hospital buprenorphine initiation; buprenorphine dosing and formulations; linkage to care; strategies for scaling ED-initiated buprenorphine; the effect of ancillary technology-based interventions; quality measures; and economic considerations. Additional research and implementation strategies are needed to enhance adoption into standard emergency care and improve patient outcomes.

Long COVID Clinical Phenotypes up to 6 Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms

Background

The prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection.

Methods

This was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms.

Results

Among 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months.

Conclusions

We identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized. Clinical Trials Registration. NCT04610515.

Severe Fatigue and Persistent Symptoms at 3 Months Following Severe Acute Respiratory Syndrome Coronavirus 2 Infections During the Pre-Delta, Delta, and Omicron Time Periods: A Multicenter Prospective Cohort Study

BACKGROUND

Most research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants focuses on initial symptomatology with limited longer-term data. We characterized prevalences of prolonged symptoms 3 months post-SARS-CoV-2 infection across 3 variant time-periods (pre-Delta, Delta, and Omicron).

METHODS

This multicenter prospective cohort study of adults with acute illness tested for SARS-CoV-2 compared fatigue severity, fatigue symptoms, organ system-based symptoms, and ≥3 symptoms across variants among participants with a positive ("COVID-positive") or negative SARS-CoV-2 test ("COVID-negative") at 3 months after SARS-CoV-2 testing. Variant periods were defined by dates with ≥50% dominant strain. We performed multivariable logistic regression modeling to estimate independent effects of variants adjusting for sociodemographics, baseline health, and vaccine status.

RESULTS

The study included 2402 COVID-positive and 821 COVID-negative participants. Among COVID-positives, 463 (19.3%) were pre-Delta, 1198 (49.9%) Delta, and 741 (30.8%) Omicron. The pre-Delta COVID-positive cohort exhibited more prolonged severe fatigue (16.7% vs 11.5% vs 12.3%; P = .017) and presence of ≥3 prolonged symptoms (28.4% vs 21.7% vs 16.0%; P < .001) compared with the Delta and Omicron cohorts. No differences were seen in the COVID-negatives across time-periods. In multivariable models adjusted for vaccination, severe fatigue and odds of having ≥3 symptoms were no longer significant across variants.

CONCLUSIONS

Prolonged symptoms following SARS-CoV-2 infection were more common among participants infected during pre-Delta than with Delta and Omicron; however, these differences were no longer significant after adjusting for vaccination status, suggesting a beneficial effect of vaccination on risk of long-term symptoms. Clinical Trials Registration. NCT04610515.

Abstract WP38: Variation In Performance On Stroke Care Delivery Measures Among Us Community Emergency Departments

Introduction: Many stroke patients initially present to non-stroke center hospitals. However, the delivery of Emergency Department (ED)-based acute stroke care at smaller, non-academic (i.e., community) EDs is less well-described than for larger, academic hospitals.

Hypothesis: There is wide variation in community EDs’ performance on acute stroke care delivery measures.

Methods: This is a retrospective analysis of a cohort of stroke patients from EDs participating in the Emergency Quality Network (E-QUAL) stroke collaborative, a national stroke quality improvement project targeted to community EDs. Sites used ICD10 codes to identify ischemic stroke patients and submitted data using a web-based submission portal. EDs with data from at least 20 patients were included. For each site, we calculated median door-to-imaging (DTI), door-to-needle (DTN), and door-in-door-out (DIDO) times among transferred patients and ED length of stay (LOS) among admitted patients. We also determined the proportions of eligible patients arriving with 3.5 hours of last known well who received thrombolysis within 4.5 hours, of patients with documentation of severity assessment performance and of dysphagia screening. We used descriptive statistics to illustrate variation.

Results: Of the 54 participating EDs, data were available for 45, and 28 included ≥ 20 patients. Of included EDs, median annual ED volume was 34,648 (IQR 21,250-47,120) and 40% were rural. Performance varied on DTI, DIDO among transferred patients, and LOS among admitted patients (Table). Performance was more consistent on documentation of severity assessment and dysphagia screening.

Conclusions: Performance on stroke care delivery measures varied between these community EDs and data in the literature from larger hospitals that typically participate in national registries. Future efforts to improve emergency stroke care delivery should consider unique factors impacting care at smaller, community EDs.

Abstract WP49: Clinical Performance Measures For Emergency Department Care For Adults With Nontraumatic Intracranial Hemorrhage

Study Objective: Though select inpatient-based performance measures exist for the care of patients with nontraumatic intracranial hemorrhage (ICH), Emergency Departments (EDs) lack measurement instruments designed to support and improve care processes in the hyperacute phase. To address this, we propose a set of measures applying a syndromic (rather than diagnosis-based) approach informed by performance data from a national sample of community EDs participating in the Emergency Quality Network Stroke Initiative (E-QUAL).

Methods: We convened a workgroup of experts in acute neurologic emergencies. The group considered the appropriate use case for each proposed measure (internal quality improvement [QI], benchmarking, or accountability) and examined data from E-QUAL-participating EDs to consider the validity and feasibility of proposed measures. The initially conceived set included 14 measure concepts of which 7 were selected for inclusion in the measure set after review of data and further deliberation. To inform the process, we collected data from E-QUAL participating EDs. EDs used a web-based portal to submit data from chart reviews on patients with ICH during 2020-2021. Descriptive statistics characterize performance and identify variation.

Results: Proposed measures include 2 for QI, benchmarking, and accountability, 3 for QI and benchmarking and 2 for QI only (Table). Of the E-QUAL participating EDs, 35 had sufficient case volume (≥25) and were included for review of preliminary performance data. Median annual ED volume was 44,000 (IQR 31,337-67,000) and 16 (48%) reported typically transferring patients with ICH. The Table includes available performance data.

Conclusion: Application of these measures may identify opportunities for improvement and focus QI resources on evidence-based targets. The proposed measures warrant further development and validation to support broader implementation and advance national healthcare quality goals.

1294 ASSESSMENT AND MANAGEMENT OF FRAILTY: A SURVEY OF HEALTHCARE PROFESSIONALS

Introduction

By 2030, it is estimated that 25% of Europeans will be aged over 65. [Dugarova; UN Development Programme; 2017] Frailty in this group is a key contributor to poorer outcomes. [Eamer; BMC Anesthesiology; 2017; 17:99] The term is common in healthcare but research into the issues faced by staff around assessment and management of frailty has been limited. We undertook a survey to identify challenges faced in providing care to those living with frailty and considered potential interventions.

Method

The survey was across three hospitals in our health board (which serves a population of around 390,000 with a range of services). [SBUHB;2022] It was developed iteratively through consultation in a multidisciplinary group and adapted questions from other similar validated surveys. [Eamer; BMC Anesthesiology; 2017; 17:99][Taylor; Future Healthcare Journal; 2017; 4(3):207-212].

Results

218 responses were received covering a variety of medical and surgical specialties. Participants showed a strong (80%) self-reported understanding of frailty as a clinical concept, but only 46% felt confident in their ability to assess patients for frailty. 74% stated they would benefit from more education on frailty. Other barriers included systemic challenges such as staffing and social care, but also a lack of understanding of frailty by patients and relatives which impacted shared decision-making.

Conclusions

The survey showed a significant demand for more education, especially awareness of pathways and assessment methods. It also highlighted the issue of patients’ (and relatives’) lack of understanding of frailty. In response, we are planning a targeted multi-disciplinary educational programme on frailty across the health board, as well as introducing patient information leaflets.

Three-month symptom profiles among symptomatic adults with positive and negative SARS-CoV-2 tests: a prospective cohort study from the INSPIRE group

BACKGROUND

Long-term symptoms following SARS-CoV-2 infection are a major concern, yet their prevalence is poorly understood.

METHODS

We conducted a prospective cohort study comparing adults with SARS-CoV-2 infection (COVID+) with adults who tested negative (COVID-), enrolled within 28 days of an FDA-approved SARS-CoV2 test result for active symptoms. Sociodemographic characteristics, symptoms of SARS-CoV-2 infection (assessed with the CDC Person Under Investigation Symptom List), and symptoms of post-infectious syndromes (i.e., fatigue, sleep quality, muscle/joint pains, unrefreshing sleep, and dizziness/fainting, assessed with CDC Short Symptom Screener for myalgic encephalomyelitis/chronic fatigue syndrome) were assessed at baseline and 3 months via electronic surveys sent via text or email.

RESULTS

Among the first 1,000 participants, 722 were COVID + and 278 were COVID-. Mean age was 41.5 (SD 15.2); 66.3% were female, 13.4% were Black, and 15.3% were Hispanic. At baseline, SARS-CoV-2 symptoms were more common in the COVID + group than the COVID - group. At 3-months, SARS-CoV-2 symptoms declined in both groups although were more prevalent in the COVID + group: upper respiratory symptoms/head/eyes/ears/nose/throat (HEENT; 37.3% vs 20.9%), constitutional (28.8% vs 19.4%), musculoskeletal (19.5% vs 14.7%), pulmonary (17.6% vs 12.2%), cardiovascular (10.0% vs 7.2%), and gastrointestinal (8.7% vs 8.3%); only 50.2% and 73.3% reported no symptoms at all. Symptoms of post-infectious syndromes were similarly prevalent among the COVID + and COVID - groups at 3 months.

CONCLUSIONS

Approximately half of COVID + participants, as compared with one-quarter of COVID - participants, had at least one SARS-CoV-2 symptom at 3 months, highlighting the need for future work to distinguish Long COVID.

Improving Sepsis Management Through the Emergency Quality Network Sepsis Initiative

BACKGROUND

Public reporting of the Centers for Medicare & Medicaid (CMS) SEP-1 sepsis quality measure is often too late and without the data granularity to inform real-time quality improvement (QI). In response, the American College of Emergency Physicians (ACEP) Emergency Quality Network (E-QUAL) Sepsis Initiative sought to support QI efforts through benchmarking of preliminary draft SEP-1 scores for emergency department (ED) patients. This study sought to determine the anticipatory value of these preliminary SEP-1 benchmarking scores and publicly reported performance.

METHODS

Cross-sectional analysis was performed on QI data collected from hospital-based ED sites participating in the E-QUAL Sepsis Collaborative in 2017 and 2018. Participating EDs submitted SEP-1 benchmarking scores semiannually, which were compared to publicly reported CMS SEP-1 data. EDs also reported implementation data on a variety of sepsis-related QI activities for comparison based on SEP-1 performance.

RESULTS

Among 220 EDs participating in E-QUAL, SEP-1 benchmarking scores showed weak but statistically significant correlation with CMS SEP-1 scores (r = 0.189, p = 0.01). Mean E-QUAL SEP-1 benchmarking scores were higher than mean CMS SEP-1 scores (74.1% vs. 57.2%), with 83.2% of sites reporting a benchmarking score higher than the CMS SEP-1 score. EDs with SEP-1 scores in the bottom 20% reported completion of more sepsis-related QI activities than EDs with average or top 20% SEP-1 scores.

CONCLUSION

Preliminary benchmarking results demonstrate a weak, statistically significant correlation with subsequent publicly reported CMS SEP-1 scores and suggest that ED performance in sepsis care may exceed overall hospital performance inclusive of all inpatients. Sepsis quality measurement and sepsis QI efforts may be best guided by separating ED sepsis cases from in-hospital sepsis cases as is done for other acute time-sensitive conditions.

Patient cost consciousness in the emergency department: A brief report

BACKGROUND

'Surprise billing', or the phenomenon of unexpected coverage gaps in which patients receiving out-of-network medical bills after what they thought was in-network care, has been a major focus of policymakers and advocacy groups recently, particularly in the Emergency Department (ED) setting, where patients' ability to choose a provider is exceedingly limited. The No Surprises Act is the legislative culmination to address "surprise bills," with the aim of promoting price transparency as a solution for billing irregularities. However, the knowledge and perceptions of patients regarding emergency care price transparency, particularly the degree to which ED patients are cost conscious is unknown. Accordingly, we sought to quantify that perception by measuring patients' direct predictions for the cost of their care.

METHODS

We conducted an in-person survey of patients in Emergency Departments (EDs) over an 10-month period at two campuses within a large academic hospital system in southern Connecticut. We surveyed a convenience sample of patients at the bedside regarding demographics, care seeking perceptions and their estimates of the total and out-of-pocket costs for their ED care. Survey data was linked to institutional hospital finance datasets including actual charges and payments. We then later obtained the actual costs and billed amounts and compared these to the patients' estimates using a paired t-test. We also analyzed results according to certain patient demographics.

RESULTS

A total of 600 patients were approached for survey, and data from 455 were available for the final analysis. On average, patients overestimated the cost of their care by $2484 and overestimated out-of-pocket cost by $144; both of these results met statistical significance (p < .005). Patients were better able to predict both total and out-of-pocket costs if they were: college educated or above; unemployed or retired; aged 65 or older; or had private insurance. Uninsured patients could better predict total cost but not out-of-pocket costs. One in 4 patients reported considering the cost of care prior to visiting the ED. Only 12 patients reported trying to look up that price before coming.

CONCLUSIONS

This study is the first to our knowledge that sought to quantify how patients perceive the cost of acute, unscheduled care in the ED. We found that ED patients generally do not consider the price before going to the ED, and subsequently overestimate the negotiated total costs of acute, unscheduled emergency care as well as their out-of-pocket responsibility for care. Certain demographics are less predictive of this association. Notably, patients with Medicare/Medicaid and those with high school education or below were of the furthest off in predicting the actual cost of care. This lends credence to the established trend of patients' limited knowledge of the total cost of healthcare; moreover, that they overestimate the cost of their care could serve as a barrier to accessing that care particularly in more vulnerable groups. We hope that this finding adds useful information to policymakers in sculpting future legislation around surprise billing.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

1017 EVALUATION OF FRAILTY DOCUMENTATION PRE AND DURING THE COVID-19 PANDEMIC IN A LARGE REGIONAL CENTRE

Background

Identifying frailty can lead to improvements in patient outcomes through interventions such as CGA and prompt discussions around resuscitation and ACP. [Welsh; International Journal of Clinical Practice; 2014; 290– 293] Frailty is associated with a higher risk of postoperative mortality and morbidity, and mortality due to COVID-19.[Parmar; Annals of Surgery; 2021; 709–718, Dumitrascu; Journal of the American Geriatrics Society; 2021; 2, 419– 2, 429] Our audit considers whether the pandemic had any effect on documentation of frailty, and identifies interventions to improve this process.

Method

We retrospectively reviewed notes to look for elements of social history which identify frailty including mobility, ADLs, and CFS. We conducted a series of spot audits in February 2020 (pre-pandemic), April 2021 (Wave 2), and November 2021 (Wave 3) across surgical and medical wards.

Interventions and Results

February 2020 This cohort consisted of 62 patients and showed poor documentation across both medicine and surgery with an average of only 21% relevant social history recorded and 0% CFS scoring. Interventions that followed included an educational series by geriatricians and introduction of triaging tools based on CFS in response to the pandemic e.g. Swansea Hip interrogation Fracture Tool (SHiFT). [Cronin; British Orthopaedic Association; 2020] April 2021 The relevant documentation improved to an average of 31% in this cohort of 37 patients. Interventions that followed included further educational sessions on frailty, a surgical liaison service, and the appointment of an orthogeriatrician. November 2021 This cohort consisted of 149 patients, average relevant social history continued to improve to 49%. Subgroup analysis showed 76% of orthopaedics patients had a CFS score, including 100% of NOF patients.

Conclusion

Frailty is important as it is linked to an increased risk of mortality and morbidity. In the pre-pandemic cohort, the results were poor. Improvements were seen after interventions such as educational sessions, pandemic triaging tools, and the surgical liaison service. However, there are still inconsistencies between teams. Future interventions include a CFS app, expansion of the surgical liaison service, and improved proformas.

1028 OLDER PERSON’S ASSESSMENT SERVICE (OPAS): DELIVERING COMPREHENSIVE GERIATRIC ASSESSMENT (CGA) IN THE EMERGENCY DEPARTMENT (ED)

Introduction

Innovative models of service delivery are required to provide Comprehensive Geriatric Assessment for older patients presenting to the Emergency Department with frailty syndromes.

Method

In 2018, the Older Person’s Assessment Service began a liaison service to the ED, taking referrals from the medical and ED teams for patients who presented with frailty syndromes (falls, cognitive impairment, care dependence, polypharmacy). The service saw 437 patients April–August 2018. 76% of the patients assessed were discharged by utilising available community services, rapid access outpatient follow up and inpatient reablement off the acute site. The service was estimated to avoid 50–80 admissions per month to medicine (saving 17–23 beds a year) and was commissioned as a permanent service. Phase 2 In 2020, a dedicated unit within ED was allocated to OPAS, enabling the acceptance of patients directly from triage and from the Ambulance Service by direct referral. This provided rapid access to specialist assessment, continued access to Elderly Care services, avoided exposure to coronavirus related admissions and the risks of nosocomial infection associated with admission. The service operates from 8 am-4 pm on weekdays.

Results

Between June 2020 and October 2021, the service saw 1,173 new patients. 988 patients (84.5%) were discharged off the acute site on the day of assessment. 68 (5.79%) patients were admitted to other facilities run by the Health Board (e.g Inpatient Reablement). The average age of an OPAS patient was 83 yrs and had a CFS > 5. Readmission rate at 14 days was 4% (47).Of the 253 patients who were admitted to an inpatient setting, 13.5% (35) contracted nosocomial covid-19.

Conclusion

The service has been supported and funded to expand into extended weekday hours as a result of this success and there are plans for future 7 day working.

The WNT7A/WNT7B/GPR124/RECK signaling module plays an essential role in mammalian limb development

In central nervous system vascular endothelial cells, signaling via the partially redundant ligands WNT7A and WNT7B requires two co-activator proteins, GPR124 and RECK. WNT7A and RECK have been shown previously to play a role in limb development, but the mechanism of RECK action in this context is unknown. The roles of WNT7B and GPR124 in limb development have not been investigated. Using combinations of conventional and/or conditional loss-of-function alleles for mouse Wnt7a, Wnt7b, Gpr124 and Reck, including a Reck allele that codes for a protein that is specifically defective in WNT7A/WNT7B signaling, we show that reductions in ligand and/or co-activator function synergize to cause reduced and dysmorphic limb bone growth. Two additional limb phenotypes – loss of distal Lmx1b expression and ectopic growth of nail-like structures – occur with reduced Wnt7a/Wnt7b gene copy number and, respectively, with Reck mutations and with combined Reck and Gpr124 mutations. A third limb phenotype – bleeding into a digit – occurs with the most severe combinations of Wnt7a/Wnt7b, Reck and Gpr124 mutations. These data imply that the WNT7A/WNT7B-FRIZZLED-LRP5/LRP6-GPR124-RECK signaling system functions as an integral unit in limb development.

Summary: Genetic analyses in mice show that the WNT7A/WNT7B-FRIZZLED-LRP5/LRP6-GPR124-RECK signaling system, first defined in the context of CNS angiogenesis and barrier development, also functions as an integral unit in limb development.

Study protocol for the Innovative Support for Patients with SARS-COV-2 Infections Registry (INSPIRE): A longitudinal study of the medium and long-term sequelae of SARS-CoV-2 infection

Background

Reports on medium and long-term sequelae of SARS-CoV-2 infections largely lack quantification of incidence and relative risk. We describe the rationale and methods of the Innovative Support for Patients with SARS-CoV-2 Registry (INSPIRE) that combines patient-reported outcomes with data from digital health records to understand predictors and impacts of SARS-CoV-2 infection.

Methods

INSPIRE is a prospective, multicenter, longitudinal study of individuals with symptoms of SARS-CoV-2 infection in eight regions across the US. Adults are eligible for enrollment if they are fluent in English or Spanish, reported symptoms suggestive of acute SARS-CoV-2 infection, and if they are within 42 days of having a SARS-CoV-2 viral test (i.e., nucleic acid amplification test or antigen test), regardless of test results. Recruitment occurs in-person, by phone or email, and through online advertisement. A secure online platform is used to facilitate the collation of consent-related materials, digital health records, and responses to self-administered surveys. Participants are followed for up to 18 months, with patient-reported outcomes collected every three months via survey and linked to concurrent digital health data; follow-up includes no in-person involvement. Our planned enrollment is 4,800 participants, including 2,400 SARS-CoV-2 positive and 2,400 SARS-CoV-2 negative participants (as a concurrent comparison group). These data will allow assessment of longitudinal outcomes from SARS-CoV-2 infection and comparison of the relative risk of outcomes in individuals with and without infection. Patient-reported outcomes include self-reported health function and status, as well as clinical outcomes including health system encounters and new diagnoses.

Results

Participating sites obtained institutional review board approval. Enrollment and follow-up are ongoing.

Conclusions

This study will characterize medium and long-term sequelae of SARS-CoV-2 infection among a diverse population, predictors of sequelae, and their relative risk compared to persons with similar symptomatology but without SARS-CoV-2 infection. These data may inform clinical interventions for individuals with sequelae of SARS-CoV-2 infection.

Feasibility and acceptability of electronic administration of patient reported outcomes using mHealth platform in emergency department patients with non-medical opioid use

Background

The emergency department (ED) offers an important opportunity to identify patients with opioid use disorder (OUD) and initiate treatment. However, post-ED follow-up is challenging, and novel approaches to enhance care transitions are urgently needed. Outcomes following ED visits have traditionally focused on overdose, treatment engagement, and mortality with an absence of patient reported outcomes (PROs), for example patient ability to schedule follow-up OUD treatment appointments or pick up a prescription medication, that may better inform evaluation of treatment pathways and near-term outcomes after acute events. In the context of increasing novel secure mobile health (mHealth) platforms, we explored the feasibility and acceptability of electronically collecting PROs from ED patients with non-medical opioid use to enhance care in the ED and transitions of care.

Methods

ED patients with non-medical opioid use or opioid overdose who endorsed willingness and ability to complete electronic surveys after discharge were enrolled from a tertiary, urban academic ED. Participants were enrolled in an mHealth platform, shared electronic health records with researchers, and completed electronic surveys of PROs at baseline, three- and thirty-days post discharge from the hospital, including questions about ability to schedule a follow-up appointment, pick up a prescription medication and overdose risk behaviors. Primary outcomes were measures of feasibility and acceptability of electronic PRO collection among ED patients with non-medical opioid use.

Results

Among 1,808 patients assessed for eligibility between June-December 2019, 101 of 130 (78%) eligible adult patients consented to participate. Ninety-six (95%) of 101 patients completed registration in the mHealth platform, and 77/96 (80%) were successful in sharing their electronic health data. Completion rates for the baseline, three-day and thirty-day surveys were 97% (93/96), 49% (47/96) and 42% (40/96). Implementation challenges included short engagement window during ED visit, limited access to smartphones/computers, insufficient battery life of participant phone to access email and password, forgotten emails and passwords, multi-step verification processes for account set-up, and complaints about hospital care, most of which were effectively addressed by study personnel.

Conclusions

ED patients with OUD were willing to share electronic health information and PROs, although implementation challenges were common, and more than half of participants were lost-to-follow-up after hospital discharge at 30 days. Efforts to streamline communication and remove barriers to engagement are needed to improve the collection of PROs and pathways of care in ED patients with OUD.

Clinical Trial Registration ClinicalTrials.gov (NCT03985163). Date of Registration: June 10, 2019, Retrospectively registered (First enrollment June 8, 2019). https://clinicaltrials.gov/ct2/show/record/NCT03985163

COVID-19 Vaccine Acceptance and Access Among Black and Latinx Communities

Importance

Black and Latinx communities have faced disproportionate harm from the COVID-19 pandemic. Increasing COVID-19 vaccine acceptance and access has the potential to mitigate mortality and morbidity from COVID-19 for all communities, including those most impacted by the pandemic.

Objective

To investigate and understand factors associated with facilitating and obstructing COVID-19 vaccine access and acceptance among Black and Latinx communities.

Design, Setting, and Participants

This community-partnered qualitative study conducted semistructured, in-depth focus groups with Black and Latinx participants from March 17 to March 29, 2021, using a secure video conferencing platform. Participants were recruited through emails from local community-based organizations, federally qualified health centers, social service agencies, the New Haven, Connecticut, Health Department, and in-person distribution of study information from community health workers. A total of 8 focus groups were conducted, including 4 in Spanish and 4 in English, with 72 participants from a diverse range of community roles, including teachers, custodial service workers, and health care employees, in New Haven, Connecticut. Data were analyzed from March 17 to July 30, 2021.

Main Outcomes and Measures

Interviews were audio-recorded, transcribed, translated, and analyzed using an inductive content analysis approach. Themes and subthemes were identified on the acceptability and accessibility of the COVID-19 vaccine among participants who identified as Black and/or Latinx.

Results

Among 72 participants, 36 (50%) identified as Black, 28 (39%) as Latinx, and 8 (11%) as Black and Latinx and 56 (78%) identified as women and 16 (22%) identified as men. Participants described 3 major themes that may represent facilitators and barriers to COVID-19 vaccinations: pervasive mistreatment of Black and Latinx communities and associated distrust; informing trust via trusted messengers and messages, choice, social support, and diversity; and addressing structural barriers to vaccination access.

Conclusions and Relevance

The findings of this qualitative study may impact what health care systems, public health officials, policy makers, health care practitioners, and community leaders can do to facilitate equitable uptake of the COVID-19 vaccine. Community-informed insights are imperative to facilitating COVID-19 vaccine access and acceptance among communities hardest hit by the pandemic. Preventing the further widening of inequities and addressing structural barriers to vaccination access are vital to protecting all communities, especially Black and Latinx individuals who have experienced disproportionate death and loss from COVID-19.

Closing the Compliance Loop on Follow-Up Imaging Recommendations: Comparing Radiologists' and Administrators' Attitudes

PURPOSE

To compare non-physician healthcare professional and radiologists' survey responses regarding attitudes and current practices, policies, and procedures related to the follow-up of nonemergent actionable incidental findings (AIF).

MATERIALS AND METHODS

The American College of Radiology (ACR) developed a survey with input from a technical expert panel (TEP). Survey items were developed by TEP members, refined by an ACR market research expert, and were examined for face and construct validity. The survey was distributed among ACR membership and various medical professional organizations. Responses from non-physician responders and radiologists were analyzed and compared using descriptive statistics.

RESULTS

The analysis included 375 responses, 247 from radiologists and 128 from non-physicians. All respondent groups stated that radiology follow-up recommendations are evidence-based. Both respondent groups indicated that there is up to moderate risk associated with AIF follow-up. Both respondent groups similarly favored that the accountability for communicating AIF lies first with the ordering provider, followed by primary care providers, then the patient, and lastly an automated process that is managed by a staff member and/or the radiologist. All respondent groups indicated that tracking processes were more commonly funded by the healthcare system than through the radiology budget.

CONCLUSION

There is alignment between non-physicians and radiologists regarding the implementation of tracking systems that assure completion of radiology follow-up recommendations. Building tracking systems represents an opportunity for multi-disciplinary collaboration to address care transition communication and process gaps.

Prolonged Emergency Department Length of Stay for US Pediatric Mental Health Visits (2005-2015)

BACKGROUND AND OBJECTIVES

Children seeking care in the emergency department (ED) for mental health conditions are at risk for prolonged length of stay (LOS). A more contemporary description of trends and visit characteristics associated with prolonged ED LOS at the national level is lacking in the literature. Our objectives were to (1) compare LOS trends for pediatric mental health versus non-mental health ED visits and (2) explore patient-level characteristics associated with prolonged LOS for mental health ED visits.

METHODS

We conducted an observational analysis of ED visits among children 6 to 17 years of age using the National Hospital Ambulatory Medical Care Survey (2005-2015). We assessed trends in rates of prolonged LOS and the association between prolonged LOS and demographic and clinical characteristics (race and ethnicity, payer type, and presence of a concurrent physical health diagnosis) using descriptive statistics and survey-weighted logistic regression.

RESULTS

From 2005 to 2015, rates of prolonged LOS for pediatric mental health ED visits increased over time from 16.3% to 24.6% (LOS >6 hours) and 5.3% to 12.7% (LOS >12 hours), in contrast to non-mental health visits for which LOS remained stable. For mental health visits, Hispanic ethnicity was associated with an almost threefold odds of LOS >12 hours (odds ratio 2.74; 95% confidence interval 1.69-4.44); there was no difference in LOS by payer type.

CONCLUSIONS

The substantial rise in prolonged LOS for mental health ED visits and disparity for Hispanic children suggest worsening and inequitable access to definitive pediatric mental health care. Policy makers and health systems should work to provide equitable and timely access to pediatric mental health care.

Occurrence of mammalian small carnivores in Kalakad-Mundanthurai Tiger Reserve, Western Ghats, India

The small mammalian carnivores are important for maintaining healthy ecosystems.  The present documentation is based on the camera trap survey in Kalakad-Mundanthurai Tiger Reserve, Tamil Nadu.  Paired camera-traps were set in a grid of 1.413 × 1.413 km area of 180km² within an altitudinal range of 80–1,866 m.  A total of 11 species were recorded in different habitat types.  Brown Palm Civet Paradoxurus jerdoni and Leopard Cat Prionailurus bengalensis had the highest capture rates and the lowest was Rusty Spotted Cat Prionailurus rubiginosus.

Prevalence of mandibular fractures

Aim

The aim of this study was to determine the etiology, dissemination of mandibular fractures among different age, gender, and to determine the frequency of anatomic distribution in patients who reported to our institution from February 2015 to September 2015.

Materials and Methods

All patients who fulfilled the selection criteria and had mandible fracture were selected for the study. The values were subjected to Z and Chi-square tests.

Results

Out of 50 patients, 44 were male patients (88%) and 6 were female patients (12%). We found a peak occurrence of fractures in young adults, with mean age of 36 years. In case of etiology of fracture, road traffic accident was the most common (72%) and parasymphysis was most frequently involved site (n = 13.26%).

Conclusion

In this study, the prevalence of mandibular fracture was more prevalent in male patients, especially during the third decade of life. The most common cause was road traffic accident and the more frequently affected region was parasymphysis of the mandible.

Fair Play: Application of Normalized Scoring to Emergency Department Throughput Quality Measures in a National Registry

STUDY OBJECTIVE

The measurement of emergency department (ED) throughput as a patient-centered quality measure is ubiquitous; however, marked heterogeneity exists between EDs, complicating comparisons for payment purposes. We evaluate 4 scoring methodologies for accommodating differences in ED visit volume and heterogeneity among ED groups that staff multiple EDs to improve the validity and "fairness" of ED throughput quality measurement in a national registry, with the goal of developing a volume-adjusted throughput measure that balances variation at the ED group level.

METHODS

We conducted an ED group-level analysis using the 2017 American College of Emergency Physicians Clinical Emergency Data Registry data set, which included 548 ED groups inclusive of 889 unique EDs. We calculated ED throughput performance scores for each ED group by using 4 scoring approaches: plurality, simple average, weighted average, and a weighted standardized score. For comparison, ED groups (ie, taxpayer identification numbers) were grouped into 3 types: taxpayer identification numbers with only 1 ED; those with multiple EDs, but no ED with greater than 60,000 visits; and those with multiple EDs and at least 1 ED with greater than 60,000 visits.

RESULTS

We found marked differences in the classification of ED throughput performance between scoring approaches. The weighted standardized score (z score) approach resulted in the least skewed and most uniform distribution across the majority of ED types, with a kurtosis of 12.91 for taxpayer identification numbers composed of 1 ED, 2.58 for those with multiple EDs without any supercenter, and 3.56 for those with multiple EDs with at least 1 supercenter, all lower than comparable scoring methods. The plurality and simple average scoring approaches appeared to disproportionally penalize ED groups that staff a single ED or multiple large-volume EDs.

CONCLUSION

Application of a weighted standardized (z score) approach to ED throughput measurement resulted in a more balanced variation between different ED group types and reduced distortions in the length-of-stay measurement among ED groups staffing high-volume EDs. This approach may be a more accurate and acceptable method of profiling ED group throughput pay-for-performance programs.

Association between patient-physician gender concordance and patient experience scores. Is there gender bias?

BACKGROUND

Patient satisfaction, a commonly measured indicator of quality of care and patient experience, is often used in physician performance reviews and promotion decisions. Patient satisfaction surveys may introduce gender-related bias.

OBJECTIVE

Examine the effect of patient and physician gender concordance on patient satisfaction with emergency care.

METHODS

We performed a cross-sectional analysis of electronic health record and Press Ganey patient satisfaction survey data of adult patients discharged from the emergency department (2015-2018). Logistic regression models were used to examine relationships between physician gender, patient gender, and physician-patient gender dyads. Binary outcomes included: perfect care provider score and perfect overall assessment score.

RESULTS

Female patients returned surveys more often (n=7 612; 61.55%) and accounted for more visits (n=232 024; 55.26%). Female patients had lower odds of perfect scores for provider score and overall assessment score (OR: 0.852, 95% CI: 0.790, 0.918; OR: 0.782, 95% CI: 0.723, 0.846). Female physicians had 1.102 (95% CI: 1.001, 1.213) times the odds of receiving a perfect provider score. Physician gender did not influence male patients' odds of reporting a perfect care provider score (95% CI: 0.916, 1.158) whereas female patients treated by female physicians had 1.146 times the odds (95% CI: 1.019, 1.289) of a perfect provider score.

CONCLUSION

Female patients prefer female emergency physicians but were less satisfied with their physician and emergency department visit overall. Over-representation of female patients on patient satisfaction surveys introduces bias. Patient satisfaction surveys should be deemphasized from physician compensation and promotion decisions.

Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data

INTRODUCTION

Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based definition. We aimed to evaluate both explicit diagnosis codes and machine learning methods to create a claims-based definition for this clinical phenotype.

METHODS

We examined all patients admitted to our tertiary medical center with a primary or secondary International Classification of Disease version 9 (ICD-9) or 10 (ICD-10) code for ICH in claims from any portion of the hospitalization in 2014-2015. As a gold standard, we defined the nontraumatic ICH phenotype based on manual chart review. We tested explicit definitions based on ICD-9 and ICD-10 that had been previously published in the literature as well as four machine learning classifiers including support vector machine (SVM), logistic regression with LASSO, random forest and xgboost. We report five standard measures of model performance for each approach.

RESULTS

A total of 1830 patients with 2145 unique ICD-10 codes were included in the initial dataset, of which 437 (24%) were true positive based on manual review. The explicit ICD-10 definition performed best (Sensitivity = 0.89 (95% CI 0.85-0.92), Specificity = 0.83 (0.81-0.85), F-score = 0.73 (0.69-0.77)) and improves on an explicit ICD-9 definition (Sensitivity = 0.87 (0.83-0.90), Specificity = 0.77 (0.74-0.79), F-score = 0.67 (0.63-0.71). Among machine learning classifiers, SVM performed best (Sensitivity = 0.78 (0.75-0.82), Specificity = 0.84 (0.81-0.87), AUC = 0.89 (0.87-0.92), F-score = 0.66 (0.62-0.69)).

CONCLUSIONS

An explicit ICD-10 definition can be used to accurately identify patients with a nontraumatic ICH phenotype with substantially better performance than ICD-9. An explicit ICD-10 based definition is easier to implement and quantitatively not appreciably improved with the additional application of machine learning classifiers. Future research utilizing large datasets should utilize this definition to address important research gaps.

Evaluating the expression of GLUT-1 in oral leukoplakia

Aim:

The aim of the present study is to analyze the role of GLUT-1 in detection of early alterations occurring in oral leukoplakia. This study was to evaluate the expression of GLUT-1 in normal oral epithelium, the expression of GLUT-1 levels in the tissue samples of oral leukoplakia and to statistically compare the expression of GLUT-1 in normal epithelium and oral leukoplakia.

Materials and Methods:

The study sample comprised formalin-fixed and paraffin-embedded tissue specimens from 23 cases of histopathologically diagnosed oral leukoplakia and formalin-fixed paraffin-embedded tissue specimens from 10 cases of normal oral mucosa. Sections were mounted on glass slide coated with Aminopropyltriethoxysilane (APES; Sigma chemical co., USA) and processed for subsequent immunohistochemical study to demonstrate GLUT-1.

Results:

GLUT-1 expression in normal oral mucosa revealed weak positivity in all 10 cases (100%). The oral leukoplakia cases showed immunopositivity in all 23 cases (100%) of which 10 cases (39.14%) demonstrated focal positivity and 13 cases (60.86%) of diffuse positivity. The results were compared statistically using ANOVA test was significant at P = 0.002.

Conclusion:

The present study shows expression of GLUT-1 in leukoplakia may be used as a reliable marker to identify the high risk group for malignant transformation.