A Model Using Clinical and Endoscopic Characteristics Identifies Patients at Risk for Eosinophilic Esophagitis According to Updated Diagnostic Guidelines.

BACKGROUND AND AIMS: Updated diagnostic guidelines for eosinophilic esophagitis (EoE) have eliminated the requirement for a proton pump inhibitor (PPI) trial, but there are no models to identify patients with EoE based on these new criteria. We aimed to develop a predictive model for diagnosis of EoE based on the updated EoE diagnostic guidelines. METHODS: We performed a secondary analysis of a prospective study of adult patients referred for outpatient esophagogastroduodenoscopy at University of North Carolina who had symptoms of esophageal dysfunction; patients with prevalent EoE were excluded. We analyzed data from 206 EoE cases (mean age 40.1, 62.6% male, 93.2% white) and 306 controls (mean age 52.3, 37.9% male, 79.7% white). We built predictive models for case-control status, using clinical, endoscopic, and histologic features, and defining EoE by either the new or historical definition of PPI non-response. Model discrimination was assessed by the area under the receiver-operator characteristic curve (AUC). RESULTS: Before endoscopy, younger age, male sex, history of atopic condition or food allergy, and dysphagia identified patients with EoE with an AUC of 0.83. When we included endoscopy findings suggestive of EoE, the model identified patients with EoE with an AUC of 0.92; this increased to 0.99 when histology was included. CONCLUSION: We developed a model to identify patients with EoE, without a trial of PPIs, based on updated diagnostic guidelines. Clinical features and endoscopic findings identified patients with EoE with an AUC of 0.92-even without histologic data and in the absence of dysphagia. This model can be used to select patients with upper gastrointestinal symptoms but without dysphagia for early diagnostic endoscopy. The model can also be used to identify cases of EoE when eosinophil counts are greater than 15 in biopsies but other causes of esophageal eosinophilia cannot necessarily be excluded.

Heparin-induced thrombocytopenia associated with collection of hematopoietic progenitor cells by apheresis.

Heparin-induced thrombocytopenia (HIT) can occur following exposure to heparin and is characterized by thrombocytopenia with increased risk for thrombosis. This condition is mediated by formation of immunoglobulin G antibodies against platelet factor 4/heparin complexes that can subsequently lead to platelet activation. Herein, we detail the clinical and laboratory findings, treatments, and outcomes of two patients who developed HIT and thrombosis after undergoing collection of hematopoietic progenitor cells by apheresis (HPC-A) for autologous HPC transplant. Given that heparin may be used during HPC-A collections, these cases emphasize the importance of prompt consideration of HIT in patients that develop thrombocytopenia and thrombosis following HPC-A collection with heparin anticoagulation.

Heartburn and dyspepsia symptom severity improves after treatment and correlates with histology in adults with eosinophilic esophagitis.

Non-dysphagia symptoms, such as heartburn and dyspepsia, are poorly characterized in adults with eosinophilic esophagitis (EoE). It is unclear if treatment improves these symptoms. The aim of this paper was to assess (i) heartburn and dyspepsia symptom severity in adult EoE patients using validated symptom measures; (ii) change in symptoms after treatment; and (iii) symptom association with endoscopic and histologic features. In a prospective cohort of adult EoE patients who were not responsive to proton pump inhibitor therapy, non-dysphagia symptoms were assessed with heartburn items from the validated GERD-HRQL (gastroesophageal reflux disease health-related quality of life) and SODA (severity of dyspepsia assessment) instruments. Subjects completed the questionnaires at baseline and after treatment. Association of baseline symptoms with endoscopic and histologic features, and before and after treatment with diet or topical steroids, was assessed. Eighty-six EoE patients (mean age 39 years, 57% male, 95% white) completed a baseline questionnaire and 62 completed the follow-up questionnaire. The mean baseline GERD-HRQL score was 4.5 ± 6.5 and the mean total SODA score was 41.0 ± 12.6. At baseline, there was a weak but significant correlation between peak eosinophils and the SODA score (r = 0.28; p = 0.03) and no association between heartburn and SODA scores and endoscopic or other histologic findings. After treatment, there was a decrease in GERD-HRQL heartburn (4.3 vs. 2.6; p = 0.04) and SODA (49.5 vs. 35.5; p = 0.04) scores in histologic responders, but not in nonresponders. In a prospective cohort of EoE patients, baseline eosinophils positively correlated with dyspepsia severity. Heartburn and dyspepsia symptoms improved after treatment in histologic responders.

The top 10 things to know about transfusion medicine before intern year: an evidence-based course for graduating medical students.

BACKGROUND: Transfusion medicine (TM) knowledge varies widely among physician trainees. In addition, there have been few instances in which curricular changes have been meaningfully assessed for TM education in medical school. METHODS: We created and presented a novel lecture to improve TM knowledge for graduating medical students using eight objectives designed to reinforce critical information about blood management. Each objective was coded according to unique color schemes, fonts, and graphics to create visual associations while quickly and clearly presenting complex concepts. The validated BEST Collaborative exam was used to measure changes in student TM knowledge, while a survey was conducted to gauge changes in confidence for each objective. Students were asked to submit anonymous feedback about their experiences. RESULTS: The mean student post-course exam score was 50.0%, while the pre-course baseline score was 27.5% (P<0.0001). Mean confidence levels increased significantly for all objectives. Student feedback was universally positive. CONCLUSION: This study improved knowledge and confidence for graduating medical students by utilizing engaging and visually stimulating presentations to display high-impact TM material. However, further efforts are needed to optimize learning.

Clinical and Molecular Factors Associated With Histologic Response to Topical Steroid Treatment in Patients With Eosinophilic Esophagitis.

BACKGROUND & AIMS: Few factors have been identified that can be used to predict response of patients with eosinophilic esophagitis (EoE) to topical steroid treatment. We aimed to determine whether baseline clinical, endoscopic, histologic, and molecular features of EoE can be used to predict histologic response. METHODS: We collected data from 97 patients with EoE, from 2009 through 2015, treated with a topical steroid for 8 weeks; 59 patients had a histologic response to treatment. Baseline clinicopathologic features and gene expression patterns were compared between patients with a histologic response to treatment (<15 eos/hpf) and non-responders (≥15 eos/hpf). We performed sensitivity analyses for alternative histologic response definitions. Multivariate logistic regression was performed to identify predictive factors associated with response to therapy, which were assessed with area under the receiver operator characteristic (AUROC) curves. RESULTS: Baseline dilation was the only independent predictor of non-response (odds ratio [OR], 0.30; 95% CI, 0.10-0.89). When an alternate response (<1 eos/hpf) and non-response (<50% decrease in baseline eos/hpf) definition was used, independent predictors of response status were age (OR, 1.08; 95% CI, 1.02-1.14), food allergies (OR, 12.95; 95% CI, 2.20-76.15), baseline dilation (OR, 0.17; 95% CI, 0.03-0.88), edema or decreased vascularity (OR, 0.20; 95% CI, 0.04-1.03), and hiatal hernia (OR, 0.07; 95% CI, 0.01-0.66). Using these 5 factors, we developed a predictive model that discriminated complete responders from non-responders with an AUROC of 0.88. Baseline gene expression patterns were not associated with treatment response and did not change with different histologic response thresholds. CONCLUSIONS: In an analysis of 97 patients with EoE, we found dilation to be the only baseline factor associated with non-response to steroid treatment (<15 eos/hpf). However, a model comprising 5 clinical, endoscopic, and histologic factors identified patients with a complete response (<1 eos/hpf). A baseline gene expression panel was not predictive of treatment response at any threshold.

Optimal Histologic Cutpoints for Treatment Response in Patients With Eosinophilic Esophagitis: Analysis of Data From a Prospective Cohort Study.

BACKGROUND AND AIMS: No prospective studies substantiate 15 eos/hpf as an appropriate endpoint for treatment of eosinophilic esophagitis (EoE). We aimed to determine a histologic cutpoint that identifies successful treatment of EoE by assessing symptomatic and endoscopic improvement. METHODS: We performed a prospective cohort study of 62 consecutive adult patients undergoing outpatient esophagogastroduodenoscopy at the University of North Carolina from 2009 through 2014. At diagnosis of EoE and after 8 weeks of standard treatment, symptom and endoscopic responses were measured using a visual analogue scale and an endoscopic severity score (ESS), and eosinophil counts were assessed. Receiver operator curves and logistic regression models evaluated the histologic threshold that best predicted symptomatic and endoscopic response. For symptoms, analysis was limited to patients without baseline esophageal dilation. RESULTS: The mean eosinophil count at diagnosis was 124 eos/hpf, falling to 35 eos/hpf after treatment. The mean visual analogue scale decreased from 3.4 at baseline to 1.7 after treatment, and the mean ESS decreased from 3 to 1.6. Twenty-nine patients had symptom responses (47%) and 34 had endoscopic responses (55%). Post-treatment eosinophil count thresholds of 8, 15, and 5 eos/hpf best predicted symptom, endoscopic and combined responses, respectively. On logistic regression, decreasing eosinophil count was significantly associated with the probability of symptomatic (P = .01) and endoscopic response (P < .001). CONCLUSIONS: In a prospective study of patients with EoE, we found that a cutpoint of <15 eos/hpf identifies most patients with symptom and endoscopic improvements, providing support for the current diagnostic threshold. A lower threshold (<5 eos/hpf) identifies most patients with a combination of symptom and endoscopic responses; this cutpoint might be used in situations that require a stringent histologic threshold.

Determination of esophageal eosinophil counts and other histologic features of eosinophilic esophagitis by pathology trainees is highly accurate.

Many studies of eosinophilic esophagitis (EoE) use expert pathology review, but it is unknown whether less experienced pathologists can reliably assess EoE histology. We aimed to determine whether trainee pathologists can accurately quantify esophageal eosinophil counts and identify associated histologic features of EoE, as compared with expert pathologists. We used a set of 40 digitized slides from patients with varying degrees of esophageal eosinophilia. Each of 6 trainee pathologists underwent a teaching session and used our validated protocol to determine eosinophil counts and associated EoE findings. The same slides had previously been evaluated by expert pathologists, and these results comprised the criterion standard. Eosinophil counts were correlated, and agreement was calculated for the diagnostic threshold of 15 eosinophils per high-power field as well as for associated EoE findings. Peak eosinophil counts were highly correlated between the trainees and the criterion standard (ρ ranged from 0.87 to 0.92; P<.001 for all). Peak counts were also highly correlated between trainees (0.75-0.91; P<.001), and results were similar for mean counts. Agreement was excellent for determining if a count exceeded the diagnostic threshold (κ ranged from 0.83 to 0.89; P<.001). Agreement was very good for eosinophil degranulation (κ = 0.54-0.83; P<.01) and spongiosis (κ = 0.44-0.87; P<.01) but was lower for eosinophil microabscesses (κ = 0.37-0.64; P<.01). In conclusion, using a teaching session, digitized slide set, and validated protocol, the agreement between pathology trainees and expert pathologists for determining eosinophil counts was excellent. Agreement was very good for eosinophil degranulation and spongiosis but less so for microabscesses.

Associations between biomarkers of joint metabolism, hand osteoarthritis, and hand pain and function: the Johnston County Osteoarthritis Project.

OBJECTIVE: To determine the associations between joint metabolism biomarkers and hand radiographic osteoarthritis [(rOA), based on Kellgren Lawrence (KL) grade ≥ 2], symptoms, and function. METHODS: Cross-sectional data were available for 663 participants (mean age 63 yrs, 63% white, 49% women). Three definitions of hand rOA were considered: (1) a composite measure involving at least 3 hand joints distributed bilaterally with 2 of 3 in the same joint group, including ≥ 1 distal interphalangeal joint, without metacarpophalangeal (MCP) swelling; (2) rOA in at least 1 joint of a group; and (3) number of joints with KL ≥ 2. We assessed hand symptoms and the 15-item Australian Canadian Hand Osteoarthritis Index (AUSCAN; Likert format). We measured serum cartilage oligomeric matrix protein (sCOMP), hyaluronic acid (sHA), carboxy-terminal propeptide of type II collagen, type II collagen degradation product, urinary C-terminal crosslinked telopeptide of type II collagen, and urinary N-terminal crosslinked telopeptide. Linear regression models were performed to assess associations between each biomarker with hand rOA, AUSCAN, and symptoms, adjusting for age, sex, race, current smoking/drinking status, body mass index, and hip and knee rOA. RESULTS: In adjusted analyses, MCP (p < 0.0001) and carpometacarpal rOA (p = 0.003), and a higher number of hand joints with rOA (p = 0.009), were associated with higher levels of sHA. Positive associations were seen between AUSCAN and hand symptoms and levels of sCOMP (p ≤ 0.003) and sHA (p ≤ 0.048). CONCLUSION: Hand symptoms and higher AUSCAN scores were independently associated with higher levels of both sCOMP and sHA; hand rOA was associated only with sHA levels.