Mullan, Aidan F.

Background Semiquantitative visual inspection for glomerulosclerosis, interstitial fibrosis, and arteriosclerosis is often used to assess chronic changes in native kidney biopsies. Morphometric evaluation of these and other chronic changes may improve the prognostic assessment. Methods We studied a historical cohort of patients who underwent a native kidney biopsy between 1993 and 2015 and were followed through 2021 for ESKD and for progressive CKD (defined as experiencing 50% eGFR decline, temporary dialysis, or ESKD). Pathologist scores for the percentages of globally sclerosed glomeruli (GSG), interstitial fibrosis and tubular atrophy (IFTA), and arteriosclerosis (luminal stenosis) were available. We scanned biopsy sections into high-resolution images to trace microstructures. Morphometry measures were percentage of GSG; percentage of glomerulosclerosis (percentage of GSG, ischemic-appearing glomeruli, or segmentally sclerosed glomeruli); percentage of IFTA; IFTA foci density; percentage of artery luminal stenosis; arteriolar hyalinosis counts; and measures of nephron size. Models assessed risk of ESKD or progressive CKD with biopsy measures adjusted for age, hypertension, diabetes, body mass index, eGFR, and proteinuria. Results Of 353 patients (followed for a median 7.5 years), 75 developed ESKD and 139 experienced progressive CKD events. Visually estimated scores by pathologists versus morphometry measures for percentages of GSG, IFTA, and luminal stenosis did not substantively differ in predicting outcomes. However, adding percentage of glomerulosclerosis, IFTA foci density, and arteriolar hyalinosis improved outcome prediction. A 10-point score using percentage of glomerulosclerosis, percentage of IFTA, IFTA foci density, and any arteriolar hyalinosis outperformed a 10-point score based on percentages of GSG, IFTA, and luminal stenosis >50% in discriminating risk of ESKD or progressive CKD. Conclusion Morphometric characterization of glomerulosclerosis, IFTA, and arteriolar hyalinosis on kidney biopsy improves prediction of long-term kidney outcomes.

ABSTRACT Background One of the challenges in living kidney donor screening is to estimate remaining kidney function after donation. Here we developed a new model to predict post-donation measured glomerular filtration rate (mGFR) from pre-donation serum creatinine, age and sex. Methods In the prospective development cohort (TransplantLines, n = 511), several prediction models were constructed and tested for accuracy, precision and predictive capacity for short- and long-term post-donation 125I-iothalamate mGFR. The model with optimal performance was further tested in specific high-risk subgroups (pre-donation eGFR <90 mL/min/1.73 m2, a declining 5-year post-donation mGFR slope or age >65 years) and validated in internal (n = 509) and external (Mayo Clinic, n = 1087) cohorts. Results In the development cohort, pre-donation estimated GFR (eGFR) was 86 ± 14 mL/min/1.73 m2 and post-donation mGFR was 64 ± 11 mL/min/1.73 m2. Donors with a pre-donation eGFR ≥90 mL/min/1.73 m2 (present in 43%) had a mean post-donation mGFR of 69 ± 10 mL/min/1.73 m2 and 5% of these donors reached an mGFR <55 mL/min/1.73 m2. A model using pre-donation serum creatinine, age and sex performed optimally, predicting mGFR with good accuracy (mean bias 2.56 mL/min/1.73 m2, R2 = 0.29, root mean square error = 11.61) and precision [bias interquartile range (IQR) 14 mL/min/1.73 m2] in the external validation cohort. This model also performed well in donors with pre-donation eGFR <90 mL/min/1.73 m2 [bias 0.35 mL/min/1.73 m2 (IQR 10)], in donors with a negative post-donation mGFR slope [bias 4.75 mL/min/1.73 m2 (IQR 13)] and in donors >65 years of age [bias 0.003 mL/min/1.73 m2 (IQR 9)]. Conclusions We developed a novel post-donation mGFR prediction model based on pre-donation serum creatinine, age and sex.

Violence in the emergency department (ED) remains underreported. Patient factors are often cited as a source of confusion in determining the culpability of perpetrators and whether to proceed with incident reporting. This study’s objective was to determine how ED staff at one academic medical center perceive certain clinical scenarios and how this compares to local law enforcement officers (LEO). An anonymous survey with 4 scenarios was sent to multidisciplinary ED staff at our academic medical center, as well as local LEO and inquired whether respondents considered any of the scenarios to be reportable as a crime. Chi-square analysis was used for comparison. The study was deemed exempt by the Institutional Review Board. A total of 261 ED staff and 77 LEO completed the survey. Both groups were equally likely to believe that a reportable crime occurred in Scenario 1, where a patient with dementia punches a nurse (LEO: 26.0% vs. ED: 31.4%, p = 0.44), and in Scenario 2, where an intoxicated patient spits at a phlebotomist (LEO: 97.4% vs. ED: 95.0%, p = 0.56). However, the two groups differed in Scenario 3, in which a patient with delirium makes verbal threats to a doctor (LEO: 20.8% vs. ED: 42.9%, p < 0.001), and Scenario 4, in which a patient’s parent throws a chair at a medical student (LEO: 66.2% vs. ED: 81.2%, p = 0.009). As health systems seek to improve workplace safety, it is important to consider the barriers to reporting violent incidents, including staff’s understanding of what acts may constitute reportable violence, as well as LEO understanding of the unique ED environment and patient responsibilities.

BACKGROUND: Parkinson’s disease (PD)-associated psychosis is a well-known non-motor complication, occurring years after diagnosis of PD. Incidence data vary across different studies highlighting a need for long-term observation and clinical definition. OBJECTIVE: To determine the incidence of psychosis in patients with PD and to investigate their survival in an incident cohort study from 1991–2010 in Olmsted County, MN. METHODS: We used the Rochester Epidemiology Project to define an incident-cohort study of parkinsonism (1991–2010) in Olmsted County, MN. A movement-disorder specialist reviewed the electronic medical records and applied diagnosis criteria to PD. Psychosis was diagnosed using of NINDS/NIMH unified criteria. RESULTS: We identified 669 cases of parkinsonism; 297 patients were clinically diagnosed with PD. 114/297 (38.4%) patients had evidence of psychosis (60% male); the median onset age of psychosis was 79.4 years. The incidence of Parkinson’s disease psychosis (PDP) was 4.28/100 person-years. PDP patients had a 71% increased risk of death compared to PD patients. In PD patients without psychosis, men had 73.4% increased risk of death compared to women, whereas no significant sex difference was observed among PDP men vs. women. Of 114 patients diagnosed with psychosis, 59 were treated with antipsychotics. There was no significant difference in survival between treated and untreated patients. CONCLUSION: PDP increased the odds of death compared to PD patients. Men with PD without psychosis had greater odds of death compared to women; however, in PD with psychosis the odds of death were comparable among sexes. Lastly, treatment with anti-psychotics did not significantly affect survival.

INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-related signals on ECG and generate an AI-Cirrhosis-ECG (ACE) score that would correlate with disease severity. METHODS: A review of Mayo Clinic's electronic health records identified 5,212 patients with advanced cirrhosis ≥18 years who underwent liver transplantation at the 3 Mayo Clinic transplant centers between 1988 and 2019. The patients were matched by age and sex in a 1:4 ratio to controls without liver disease and then divided into training, validation, and test sets using a 70%-10%-20% split. The primary outcome was the performance of the model in distinguishing patients with cirrhosis from controls using their ECGs. In addition, the association between the ACE score and the severity of patients' liver disease was assessed. RESULTS: The model's area under the curve in the test set was 0.908 with 84.9% sensitivity and 83.2% specificity, and this performance remained consistent after additional matching for medical comorbidities. Significant elevations in the ACE scores were seen with increasing model for end-stage liver disease-sodium score. Longitudinal trends in the ACE scores before and after liver transplantation mirrored the progression and resolution of liver disease. DISCUSSION: The ACE score, a deep learning model, can accurately discriminate ECGs from patients with and without cirrhosis. This novel relationship between AI-enabled ECG analysis and cirrhosis holds promise as the basis for future low-cost tools and applications in the care of patients with liver disease.

AbstractBackgroundIn 2013 the Accreditation Council for Graduate Medical Education (ACGME) introduced “Milestones” designed to nationally standardize the assessment of resident physicians. Previous studies compare resident self‐assessment on milestones to faculty assessment, with varying degrees of agreement, but integration of self‐assessment into the formative feedback process has not yet been directly studied. This study uses a conceptual framework of self‐determination theory, integrated with concepts from adult learning theory, to compare the perception of the feedback quality given in semiannual reviews before and after the incorporation of resident self‐assessment into the feedback process.MethodsThis was an interventional study conducted in a single emergency medicine residency program at a major academic hospital over 1 calendar year. Residents first engaged in a semiannual review without self‐assessment. At subsequent semiannual reviews, residents completed a Milestone‐based self‐assessment that was provided to the faculty member assigned to conduct their semiannual review. Residents and faculty completed surveys rating perception of feedback quality. Two‐sided Wilcoxon signed‐rank tests were used in comparison analysis.ResultsOne resident did not self‐assess prior to the semiannual review and was excluded leaving 25 paired surveys for analysis. Residents found feedback after the self‐assessment more actionable (p = 0.013), insightful (p = 0.010), and better overall (p = 0.025). Similarly, faculty felt the feedback they provided was more actionable (p < 0.001), more insightful (p < 0.001), and better communicated (p < 0.001); led to improved resident understanding of milestones (p < 0.001); and were overall more satisfied (p < 0.001). Free‐text comments explore pre‐ and postintervention perceptions of feedback.ConclusionsIntegration of self‐assessment into semiannual reviews improves perception of feedback given to residents as perceived by both residents and faculty. Although limited by sample size, the results are promising for a simple, evidence‐based intervention to improve feedback during an existing mandated feedback opportunity.

Background In kidney transplantation, a contrast CT scan is obtained in the donor candidate to detect subclinical pathology in the kidney. Recent work from the Aging Kidney Anatomy study has characterized kidney, cortex, and medulla volumes using a manual image-processing tool. However, this technique is time consuming and impractical for clinical care, and thus, these measurements are not obtained during donor evaluations. This study proposes a fully automated segmentation approach for measuring kidney, cortex, and medulla volumes. Methods A total of 1930 contrast-enhanced CT exams with reference standard manual segmentations from one institution were used to develop the algorithm. A convolutional neural network model was trained ( n =1238) and validated ( n =306), and then evaluated in a hold-out test set of reference standard segmentations ( n =386). After the initial evaluation, the algorithm was further tested on datasets originating from two external sites ( n =1226). Results The automated model was found to perform on par with manual segmentation, with errors similar to interobserver variability with manual segmentation. Compared with the reference standard, the automated approach achieved a Dice similarity metric of 0.94 (right cortex), 0.90 (right medulla), 0.94 (left cortex), and 0.90 (left medulla) in the test set. Similar performance was observed when the algorithm was applied on the two external datasets. Conclusions A fully automated approach for measuring cortex and medullary volumes in CT images of the kidneys has been established. This method may prove useful for a wide range of clinical applications.

Abstract Objective The objective was to derive a risk score that uses variables available early during the emergency department (ED) encounter to identify high‐risk geriatric patients who may benefit from delirium screening. Methods This was an observational study of older adults age ≥ 75 years who presented to an academic ED and who were screened for delirium during their ED visit. Variable selection from candidate predictors was performed through a LASSO‐penalized logistic regression. A risk score was derived from the final prediction model, and predictive accuracy characteristics were calculated with 95% confidence intervals (CIs). Results From the 967 eligible ED visits, delirium was detected in 107 (11.1%). The area under the curve for the REcognizing DElirium in Emergency Medicine (REDEEM) score was 0.901 (95% CI = 0.864–0.938). The REEDEM risk score included 10 different variables (seven based on triage information and three obtained during early history taking) with a score ranging from –3 to 66. Using an optimal cutoff of ≥11, we found a sensitivity of 84.1% (90 of 107 ED delirium patients, 95% CI = 75.5%–90.2%) and a specificity of 86.6% (745 of 860 non‐ED delirium patients, 95% CI = 84.1%–88.8%). A lower cutoff of ≥5 was found to minimize false negatives with an improved sensitivity at 91.6% (98 of 107 ED delirium patients, 95% CI = 84.2%–95.8%). Conclusion A risk stratification score was derived with the potential to augment delirium recognition in geriatric ED patients. This has the potential to assist on delirium‐targeted screening of high‐risk patients in the ED. Validation of REDEEM, however, is needed prior to implementation.

AbstractObjectivesMany guidelines for septic olecranon bursitis recommend aspiration of the bursa prior to initiation of antimicrobial therapy despite the absence of robust clinical data to support this practice and known risk of aspiration complications. Our objective was to describe outcomes associated with empiric antibiotic therapy without bursal aspiration among emergency department (ED) patients with suspected septic olecranon bursitis.MethodsWe conducted a retrospective observational cohort study of patients presenting to an academic ED from January 1, 2011, to December 31, 2018, with olecranon bursitis. The health record was reviewed to assess patient characteristics and outcomes within 6 months of the ED visit. Olecranon bursitis was considered “suspected septic” if the patient was treated with antibiotics. The primary outcome of interest was complicated versus uncomplicated bursitis resolution. Uncomplicated resolution was defined as bursitis resolution without subsequent bursal aspiration, surgery, or hospitalization.ResultsDuring the study period, 264 ED patients were evaluated for 266 cases of olecranon bursitis. The median age was 57 years and 85% were men. Four (1.5%) patients had bursal aspiration during their ED visit, 39 (14.7%) were admitted to the hospital, 76 (28.6%) were dismissed without antibiotic therapy, and 147 (55.3%) were dismissed with empiric antibiotic therapy for suspected septic olecranon bursitis. Among these 147 patients, 134 had follow‐up available including 118 (88.1%, 95% confidence interval [CI] = 81.1%–92.8%) with an uncomplicated resolution, eight (6.0%, 95% CI = 2.8%–11.8%) who underwent subsequent bursal aspiration, and nine (6.7%, 95% CI = 3.3%–12.7%) who were subsequently admitted for inpatient antibiotics.ConclusionsEighty‐eight percent of ED patients with suspected septic olecranon bursitis treated with empiric antibiotics without aspiration had resolution without need for subsequent bursal aspiration, hospitalization, or surgery. Our findings suggest that empiric antibiotics without bursal aspiration may be a reasonable initial approach to ED management of select patients with suspected septic olecranon bursitis.