Psychometric and Clinimetric Validity of the Modified 25-Item Sino-Nasal Outcome Test

Background Productivity losses are a significant part of the disease burden associated with rhinosinusitis, but existing measures of disease-specific quality of life exclude explicit assessment of the impact of the disease on productivity. Objective The objective of this study was to evaluate the clinimetric and psychometric validity of the 25-item Sino-Nasal Outcome Test (SNOT-25), a modified version of the SNOT-22. Methods This was a prospective cohort study conducted at an academic medical center. Participants included adult patients with rhinosinusitis who presented for routine visits to the Washington University in St. Louis School of Medicine otolaryngology clinic between August 2016 and March 2017. Results The SNOT-25 was created with the addition of three productivity-specific items to the SNOT-22 instrument. A total of 120 rhinosinusitis patients completed all baseline measurements and 94 (78.3%) completed 3-month follow-up. The Cronbach’s α was 0.83, indicating high internal consistency. Rhinosinusitis patients had on average a 24-point higher baseline SNOT-25 score (95% confidence interval [CI]: 13–35) as compared to healthy controls indicating good discriminative validity. There was high correlation between SNOT-25 scores at 3 months and 3.5 months ( r = .81; 95% CI, 0.73–0.87) confirming strong test–retest reliability. SNOT-25 had a strong correlation with the overall score of the Nasal Obstruction Symptom Evaluation instrument ( r = .55; 95% CI, 0.42–0.65), and among Short Form-36 subscales, the strongest correlations existed between SNOT-25 and the fatigue scale ( r = −.522; 95% CI, −0.63 to −0.39). Exploratory factor analysis revealed that the 3 new questions of SNOT-25 loaded together with reduction in productivity and concentration items on a new “productivity” factor. Conclusion The SNOT-25 is a valid instrument that can be used to assess rhinosinusitis disease burden including the impact on productivity and may be a better predictor of treatment decisions and outcomes.

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Sinonasal Outcome Scores and Imaging: A Concurrent Assessment of Factors Influencing Their Association

Otolaryngology ◽

10.1177/0194599820972672 ◽

2020 ◽

pp. 019459982097267

Author(s):

Allen S. Zhou ◽

Anthony A. Prince ◽

Alice Z. Maxfield ◽

C. Eduardo Corrales ◽

Jennifer J. Shin

Keyword(s):

Incidental Findings ◽

Medical Center ◽

Academic Medical Center ◽

Scoring Systems ◽

Comorbid Conditions ◽

Imaging Results ◽

Mucosal Thickness ◽

The Impact ◽

Snot 22 ◽

Domain Scores

Objective The overall discriminatory ability of validated instrument scores for computed tomography (CT) findings of chronic rhinosinusitis has limitations and may be modified by multiple factors. To support optimal methods for assessment, we studied which factors could influence this relationship, including the concurrent impact of multiple discrete CT scoring mechanisms, colocalized imaging findings, and nasal comorbid conditions. Study Design Observational outcomes study. Setting Academic medical center. Methods Patients with sinonasal complaints who completed the 22-item Sinonasal Outcome Test (SNOT-22) and underwent CT were included. Multivariate ordinal regression was utilized to assess associations. CT data were quantified with the Lund-Mackay system, Zinreich system, and a direct measure of maximal mucosal thickness. The impact of incidental findings (mucous retention cysts, periapical dental disease) and nasal comorbid conditions was also assessed. Results A total of 233 patients were included. SNOT-22 nasal scores were significantly associated with CT results when those with incidental findings were excluded, regardless of the radiologic scoring mechanism utilized: Lund-Mackay regression coefficient, 0.321 ( P = .046); Zinreich, 0.340 ( P = .033); and maximum mucosal thickness, 0.316 ( P = .040). This relationship subsided when incidental findings were present. SNOT-22 overall scores, sleep scores, and psychological domain scores had no significant association with imaging results, regardless of radiologic scoring system utilized. Nasal comorbid conditions had inconsistent associations. Conclusions SNOT-22 nasal domain scores were associated with all 3 radiologic scoring systems when incidental findings were absent but not when they were present. Delineating the presence or absence of these colocalized findings affected the relationship between SNOT-22 scores and radiological results, beyond other concurrent factors.

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Alcohol Hand Rub Significantly Reduces Overall Bacterial Bioburden on Stethoscopes in a Real-World Clinical Setting

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.620 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s114-s115

Author(s):

Alexandra Johnson ◽

Bobby Warren ◽

Deverick John Anderson ◽

Melissa Johnson ◽

Isabella Gamez ◽

...

Keyword(s):

Real World ◽

Medical Center ◽

Academic Medical Center ◽

Randomized Study ◽

Healthcare Providers ◽

Clinical Workflow ◽

Provider Type ◽

Academic Medical ◽

Rn Students ◽

The Impact

Background: Stethoscopes are a known vector for microbial transmission; however, common strategies used to clean stethoscopes pose certain barriers that prevent routine cleaning after every use. We aimed to determine whether using readily available alcohol-based hand rub (ABHR) would effectively reduce bacterial bioburden on stethoscopes in a real-world setting. Methods: We performed a randomized study on inpatient wards of an academic medical center to assess the impact of using ABHR (AlcareExtra; ethyl alcohol, 80%) on the bacterial bioburden of stethoscopes. Stethoscopes were obtained from healthcare providers after routine use during an inpatient examination and were randomized to control (no intervention) or ABHR disinfection (2 pumps applied to tubing and bell or diaphragm by study personnel, then allowed to dry). Cultures of the tubing and bell or diaphragm were obtained with premoistened cellulose sponges. Sponges were combined with 1% Tween20-PBS and mixed in the Seward Stomacher. The homogenate was centrifuged and all but ~5 mL of the supernatant was discarded. Samples were plated on sheep’s blood agar and selective media for clinically important pathogens (CIPs) including S. aureus, Enterococcus spp, and gram-negative bacteria (GNB). CFU count was determined by counting the number of colonies on each plate and using dilution calculations to calculate the CFU of the original ~5 mL homogenate. Results: In total, 80 stethoscopes (40 disinfection, 40 control) were sampled from 46 physicians (MDs) and MD students (57.5%), 13 advanced practice providers (16.3%), and 21 nurses (RNs) and RN students (26.3%). The median CFU count was ~30-fold lower in the disinfection arm compared to control (106 [IQR, 50–381] vs 3,320 [986–4,834]; P < .0001). The effect was consistent across provider type, frequency of recent usual stethoscope cleaning, age, and status of pet ownership (Fig. 1). Overall, 26 of 80 (33%) of stethoscopes harbored CIP. The presence of CIP was lower but not significantly different for stethoscopes that underwent disinfection versus controls: S. aureus (25% vs 32.5%), Enterococcus (2.5% vs 10%), and GNB (2.5% vs 5%). Conclusions: Stethoscopes may serve as vectors for clean hands to become recontaminated immediately prior to performing patient care activities. Using ABHR to clean stethoscopes after every use is a practical and effective strategy to reduce overall bacterial contamination that can be easily incorporated into clinical workflow. Larger studies are needed to determine the efficacy of ABHR at removing CIP from stethoscopes as stethoscopes in both arms were frequently contaminated with CIP. Prior cleaning of stethoscopes on the study day did not seem to impact contamination rates, suggesting the impact of alcohol foam disinfection is short-lived and may need to be repeated frequently (ie, after each use).Funding: NoneDisclosures: NoneDisclosures: NoneFunding: None

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Communications and Screening for 2019 Novel Coronavirus at a Tertiary-Care Medical Center

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.578 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s84-s84

Author(s):

Lorinda Sheeler ◽

Mary Kukla ◽

Oluchi Abosi ◽

Holly Meacham ◽

Stephanie Holley ◽

...

Keyword(s):

Screening Tool ◽

Medical Center ◽

Academic Medical Center ◽

Tertiary Care ◽

The United States ◽

World Health ◽

Communication Campaign ◽

Electronic Screening ◽

Novel Coronavirus ◽

The Impact

Background: In December of 2019, the World Health Organization reported a novel coronavirus (severe acute respiratory coronavirus virus 2 [SARS-CoV-2)]) causing severe respiratory illness originating in Wuhan, China. Since then, an increasing number of cases and the confirmation of human-to-human transmission has led to the need to develop a communication campaign at our institution. We describe the impact of the communication campaign on the number of calls received and describe patterns of calls during the early stages of our response to this emerging infection. Methods: The University of Iowa Hospitals & Clinics is an 811-bed academic medical center with >200 outpatient clinics. In response to the coronavirus disease 2019 (COVID-19) outbreak, we launched a communications campaign on January 17, 2020. Initial communications included email updates to staff and a dedicated COVID-19 webpage with up-to-date information. Subsequently, we developed an electronic screening tool to guide a risk assessment during patient check in. The screening tool identifies travel to China in the past 14 days and the presence of symptoms defined as fever >37.7°C plus cough or difficulty breathing. The screening tool was activated on January 24, 2020. In addition, university staff contacted each student whose primary residence record included Hubei Province, China. Students were provided with medical contact information, signs and symptoms to monitor for, and a thermometer. Results: During the first 5 days of the campaign, 3 calls were related to COVID-19. The number of calls increased to 18 in the 5 days following the implementation of the electronic screening tool. Of the 21 calls received to date, 8 calls (38%) were generated due to the electronic travel screen, 4 calls (19%) were due to a positive coronavirus result in a multiplex respiratory panel, 4 calls (19%) were related to provider assessment only (without an electronic screening trigger), and 2 calls (10%) sought additional information following the viewing of the web-based communication campaign. Moreover, 3 calls (14%) were for people without travel history but with respiratory symptoms and contact with a person with recent travel to China. Among those reporting symptoms after travel to China, mean time since arrival to the United States was 2.7 days (range, 0–11 days). Conclusion: The COVID-19 outbreak is evolving, and providing up to date information is challenging. Implementing an electronic screening tool helped providers assess patients and direct questions to infection prevention professionals. Analyzing the types of calls received helped tailor messaging to frontline staff.Funding: NoneDisclosures: None

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154. Antibiotic Use During Three Separate Waves of the COVID-19 Pandemic at a Large Academic Medical Center in Detroit, MI

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.356 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S188-S189

Author(s):

Deepika Sivakumar ◽

Shelbye R Herbin ◽

Raymond Yost ◽

Marco R Scipione

Keyword(s):

Retrospective Review ◽

Bacterial Pneumonia ◽

Medical Center ◽

Academic Medical Center ◽

Antibiotic Use ◽

Percent Change ◽

Academic Medical ◽

Days Of Therapy ◽

Time Periods ◽

The Impact

Abstract Background Inpatient antibiotic use early on in the COVID-19 pandemic may have increased due to the inability to distinguish between bacterial and COVID-19 pneumonia. The purpose of this study was to determine the impact of COVID-19 on antimicrobial usage during three separate waves of the COVID-19 pandemic. Methods We conducted a retrospective review of patients admitted to Detroit Medical Center between 3/10/19 to 4/24/21. Median days of therapy per 1000 adjusted patient days (DOT/1000 pt days) was evaluated for all administered antibiotics included in our pneumonia guidelines during 4 separate time periods: pre-COVID (3/3/19-4/27/19); 1st wave (3/8/20-5/2/20); 2nd wave (12/6/21-1/30/21); and 3rd wave (3/7/21-4/24/21). Antibiotics included in our pneumonia guidelines include: amoxicillin, azithromycin, aztreonam, ceftriaxone, cefepime, ciprofloxacin, doxycycline, linezolid, meropenem, moxifloxacin, piperacillin-tazobactam, tobramycin, and vancomycin. The percent change in antibiotic use between the separate time periods was also evaluated. Results An increase in antibiotics was seen during the 1st wave compared to the pre-COVID period (2639 [IQR 2339-3439] DOT/1000 pt days vs. 2432 [IQR 2291-2499] DOT/1000 pt days, p=0.08). This corresponded to an increase of 8.5% during the 1st wave. This increase did not persist during the 2nd and 3rd waves of the pandemic, and the use decreased by 8% and 16%, respectively, compared to the pre-COVID period. There was an increased use of ceftriaxone (+6.5%, p=0.23), doxycycline (+46%, p=0.13), linezolid (+61%, p=0.014), cefepime (+50%, p=0.001), and meropenem (+29%, p=0.25) during the 1st wave compared to the pre-COVID period. Linezolid (+39%, p=0.013), cefepime (+47%, p=0.08) and tobramycin (+47%, p=0.05) use remained high during the 3rd wave compared to the pre-COVID period, but the use was lower when compared to the 1st and 2nd waves. Figure 1. Antibiotic Use 01/2019 to 04/2019 Conclusion Antibiotics used to treat bacterial pneumonia during the 1st wave of the pandemic increased and there was a shift to broader spectrum agents during that period. The increased use was not sustained during the 2nd and 3rd waves of the pandemic, possibly due to the increased awareness of the differences between patients who present with COVID-19 pneumonia and bacterial pneumonia. Disclosures All Authors: No reported disclosures

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The Impact of Delayed Symptomatic Treatment Implementation in the Intensive Care Unit

Healthcare ◽

10.3390/healthcare10010035 ◽

2021 ◽

Vol 10 (1) ◽

pp. 35

Author(s):

Lesley Meng ◽

Krzysztof Laudanski ◽

Mariana Restrepo ◽

Ann Huffenberger ◽

Christian Terwiesch

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Medical Center ◽

Academic Medical Center ◽

Symptomatic Treatment ◽

Medication Administration ◽

Average Delay ◽

Treatment Implementation ◽

Medication Delivery ◽

The Impact

We estimated the harm related to medication delivery delays across 12,474 medication administration instances in an intensive care unit using retrospective data in a large urban academic medical center between 2012 and 2015. We leveraged an instrumental variables (IV) approach that addresses unobserved confounds in this setting. We focused on nurse shift changes as disruptors of timely medication (vasodilators, antipyretics, and bronchodilators) delivery to estimate the impact of delay. The average delay around a nurse shift change was 60.8 min (p < 0.001) for antipyretics, 39.5 min (p < 0.001) for bronchodilators, and 57.1 min (p < 0.001) for vasodilators. This delay can increase the odds of developing a fever by 32.94%, tachypnea by 79.5%, and hypertension by 134%, respectively. Compared to estimates generated by a naïve regression approach, our IV estimates tend to be higher, suggesting the existence of a bias from providers prioritizing more critical patients.

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Abstract 16125: Impact of COVID-19 on Echocardiography Volume at a Large Academic Medical Center

Circulation ◽

10.1161/circ.142.suppl_3.16125 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Merilyn S Varghese ◽

Jordan B Strom ◽

Sarah Fostello ◽

Warren J Manning

Keyword(s):

Patient Outcomes ◽

Hospital Admissions ◽

Medical Center ◽

Academic Medical Center ◽

Academic Medical ◽

Hospital Systems ◽

The Impact ◽

At Home

Introduction: COVID-19 has significantly impacted hospital systems worldwide. The impact of statewide stay-at-home mandates on echocardiography volumes is unclear. Methods: We queried our institutional echocardiography database from 6/1/2018 to 6/13/2020 to examine rates of transthoracic (TTE), stress (SE), and transesophageal echocardiograms (TEE) prior to and following the COVID-19 Massachusetts stay-at-home order on March 15, 2020. Results: Among 36,377 total studies performed during the study period, mean weekly study volume dropped from 332 + 3 TTEs/week, 30 + 1 SEs/week, and 21 + 1 TEEs/week prior to the stay-at-home order (6/1/2018-3/15/2020) to 158 + 13 TTEs/week, 8 + 2 SEs/week, and 8 + 1 TEEs/week after (% change, -52%, -73%, and -62% respectively, all p < 0.001 when comparing volume prior to March 15 versus after). Weekly TTEs correlated strongly with hospital admissions throughout the study period (r = 0.93, 95% CI 0.89-0.95, p < 0.001) ( Figure ). Outpatient TTEs declined more than inpatient TTEs (% change, -74% vs. -39%, p <0.001). As of 3 weeks following the cessation of the stay-at-home order, TTE, SE, and TEE weekly volumes have increased to 73%, 66%, and 81% of pre-pandemic levels, respectively. Conclusions: Echocardiography volumes fell precipitously following the Massachusetts stay-at-home order, strongly paralleling declines in overall hospitalizations. Outpatient TTEs declined more than inpatient TTEs. Despite lifting of the order, echocardiography volumes remain substantially below pre-pandemic levels. The impact of the decreased use of echocardiographic services on patient outcomes remains to be determined.

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Hardwiring diagnostic stewardship using electronic ordering restrictions for gastrointestinal pathogen testing

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2019.78 ◽

2019 ◽

Vol 40 (6) ◽

pp. 668-673 ◽

Cited By ~ 2

Author(s):

Jasmine R. Marcelin ◽

Charlotte Brewer ◽

Micah Beachy ◽

Elizabeth Lyden ◽

Tammy Winterboer ◽

...

Keyword(s):

Best Practice ◽

Medical Center ◽

Academic Medical Center ◽

Cost Savings ◽

Poisson Model ◽

Panel Testing ◽

Period 2 ◽

Gastrointestinal Pathogen ◽

Pathogen Testing ◽

The Impact

AbstractObjective:To evaluate the impact of a hard stop in the electronic health record (EHR) on inappropriate gastrointestinal pathogen panel testing (GIPP).Design:We used a quasi-experimental study to evaluate testing before and after the implementation of an EHR alert to stop inappropriate GIPP ordering.Setting:Midwest academic medical center.Participants:Hospitalized patients with diarrhea for which GIPP testing was ordered, between January 2016 through March 2017 (period 1) and April 2017 through June 2018 (period 2).Intervention:A hard stop in the EHR prevented clinicians from ordering a GIPP more than once per admission or in patients hospitalized for >72 hours.Results:During period 1, 1,587 GIPP tests were ordered over 212,212 patient days, at a rate of 7.48 per 1,000 patient days. In period 2, 1,165 GIPP tests were ordered over 222,343 patient days, at a rate of 5.24 per 1,000 patient days. The Poisson model estimated a 30% reduction in total GIPP ordering rates between the 2 periods (relative risk, 0.70; 95% confidence interval [CI], 0.63–0.78; P < .001). The rate of inappropriate tests ordered decreased from 21.5% to 4.9% between the 2 periods (P < .001). The total savings calculated factoring only GIPP orders that triggered the hard stop was ∼$67,000, with potential savings of $168,000 when factoring silent best-practice alert data.Conclusions:A simple hard stop alert in the EHR resulted in significant reduction of inappropriate GIPP testing, which was associated with significant cost savings. Clinicians can practice diagnostic stewardship by avoiding ordering this test more than once per admission or in patients hospitalized >72 hours.

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Variability of Antibiotic Prescribing in a Large Healthcare Network Despite Adjusting for Patient-Mix: Reconsidering Targets for Improved Prescribing

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz018 ◽

2019 ◽

Vol 6 (2) ◽

Cited By ~ 8

Author(s):

Sophia Jung ◽

Mary Elizabeth Sexton ◽

Sallie Owens ◽

Nathan Spell ◽

Scott Fridkin

Keyword(s):

Antibiotic Prescription ◽

Medical Center ◽

Academic Medical Center ◽

Primary Care Clinic ◽

Multivariable Logistic Regression Analysis ◽

Comorbid Condition ◽

Antibiotic Prescribing ◽

Cross Sectional ◽

Care Clinic ◽

The Impact

Abstract Background In the outpatient setting, the majority of antibiotic prescriptions are for acute respiratory infections (ARIs), but most of these infections are viral and antibiotics are unnecessary. We analyzed provider-specific antibiotic prescribing in a group of outpatient clinics affiliated with an academic medical center to inform future interventions to minimize unnecessary antibiotic use. Methods We conducted a cross-sectional study of patients who presented with an ARI to any of 15 The Emory Clinic (TEC) primary care clinic sites between October 2015 and September 2017. We performed multivariable logistic regression analysis to examine the impact of patient, provider, and clinic characteristics on antibiotic prescribing. We also compared provider-specific prescribing rates within and between clinic sites. Results A total of 53.4% of the 9600 patient encounters with a diagnosis of ARI resulted in an antibiotic prescription. The odds of an encounter resulting in an antibiotic prescription were independently associated with patient characteristics of white race (adjusted odds ratio [aOR] = 1.59; 95% confidence interval [CI], 1.47–1.73), older age (aOR = 1.32, 95% CI = 1.20–1.46 for patients 51 to 64 years; aOR = 1.32, 95% CI = 1.20–1.46 for patients ≥65 years), and comorbid condition presence (aOR = 1.19; 95% CI, 1.09–1.30). Of the 109 providers, 13 (12%) had a rate significantly higher than predicted by modeling. Conclusions Antibiotic prescribing for ARIs within TEC outpatient settings is higher than expected based on prescribing guidelines, with substantial variation in prescribing rates by site and provider. These data lay the foundation for quality improvement interventions to reduce unnecessary antibiotic prescribing.

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Feeding and Growth in Infants With Cleft Lip and/or Palate: Relationships With Maternal Distress

The Cleft Palate-Craniofacial Journal ◽

10.1177/1055665620956873 ◽

2020 ◽

pp. 105566562095687

Author(s):

Lauren L. Madhoun ◽

Canice E. Crerand ◽

Meghan O’Brien ◽

Adriane L. Baylis

Keyword(s):

Postnatal Depression ◽

Cleft Lip ◽

Edinburgh Postnatal Depression Scale ◽

Short Form ◽

Medical Center ◽

Academic Medical Center ◽

Depression Scale ◽

Maternal Distress ◽

Stress Index ◽

Control Group

Objective: To examine relationships between early feeding and growth and maternal distress in infants with and without cleft lip and/or palate (CL/P). Design: Cross-sectional. Setting: Pediatric academic medical center in the Midwestern United States. Participants: Mothers of infants 1 to 12 weeks old with CL/P (n = 30) and without CL/P (control group, n = 30) were recruited at craniofacial clinic or pediatrician appointments. Main Outcome Measure(s): Maternal responses on the Feeding/Swallowing Impact Survey (FS-IS), Parenting Stress Index, Fourth Edition, Short Form (PSI-4-SF), and Edinburgh Postnatal Depression Scale. Infant feeding history and growth measurements were obtained. Results: Having an infant with CL/P revealed greater impact on maternal health-related quality of life due to feeding problems ( F = 4.83, P = .03). Mothers of infants with CL/P reported average range Total Stress scores on the PSI-4-SF, which were higher than controls ( F = 4.12, P = .05). Edinburgh Postnatal Depression Scale scores did not differ between groups. Compared to controls, infants with cleft palate had lower percentiles for weight ( t = 4.13, P = .04) and length ( t = 2.93, P = .01). Higher FS-IS scores were associated with longer feeding duration ( r = 0.32, P = .01) and lower weight ( r = −0.31, P = .02) and length ( r = −0.32, P = .02). Conclusions: Despite receiving early team care and feeding interventions, mothers of infants with CL/P reported higher stress and more challenges with feeding and growth. Future studies should examine targeted psychosocial interventions to improve feeding and growth outcomes in infants with CL/P.

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Differential resting state connectivity responses to glycemic state in type 1 diabetes

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jcem/dgz004 ◽

2019 ◽

Author(s):

Lisa Parikh ◽

Dongju Seo ◽

Cheryl Lacadie ◽

Renata Belfort-DeAguiar ◽

Derek Groskreutz ◽

...

Keyword(s):

Type 1 Diabetes ◽

Functional Connectivity ◽

Resting State ◽

Medical Center ◽

Academic Medical Center ◽

Angular Gyrus ◽

Resting State Functional Connectivity ◽

The Impact ◽

Resting State Connectivity

Abstract Context Individuals with type 1 diabetes (T1DM) have alterations in brain activity which have been postulated to contribute to the adverse neurocognitive consequences of T1DM; however, the impact of T1DM and hypoglycemic unawareness on the brain’s resting state activity remains unclear. Objective To determine whether individuals with T1DM and hypoglycemia unawareness (T1DM-Unaware) had changes in the brain resting state functional connectivity compared to healthy controls (HC) and those with T1DM and hypoglycemia awareness (T1DM-Aware). Design Observational study Setting Academic medical center Participants 27 individuals with T1DM and 12 healthy control volunteers participated in the study. Intervention All participants underwent BOLD resting state fMRI brain imaging during a 2-step hyperinsulinemic euglycemic (90 mg/dl)-hypoglycemic (60mg/dl) clamp. Outcome Changes in resting state functional connectivity Results Using two separate methods of functional connectivity analysis, we identified distinct differences in the resting state brain responses to mild hypoglycemia amongst HC, T1DM-Aware and T1DM-Unaware participants, particularly in the angular gyrus, an integral component of the default mode network (DMN). Furthermore, changes in angular gyrus connectivity also correlated with greater symptoms of hypoglycemia (r = 0.461, P = 0.003) as well as higher scores of perceived stress (r = 0.531, P = 0.016). Conclusion These findings provide evidence that individuals with T1DM have changes in the brain’s resting state connectivity patterns, which may be further associated with differences in awareness to hypoglycemia. These changes in connectivity may be associated with alterations in functional outcomes amongst individuals with T1DM.

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