Recent Publications by CFE Educators

There is a range of responses among individuals seen for medical management of their obesity. This retrospective analysis of longitudinal data considers the relationship between identified prediabetes and subsequent weight change among children (8-17 years) in a weight management clinic. Analysis included 733 patients (2687 visits in 2008-2016) with overweight and obesity (but not diabetes) whose referral laboratories included a hemoglobin A1c (HbA1c) within 90 days. Mixed-effects modeling examined the association between baseline prediabetes (serum HbA1c 5.7%-6.4%) and growth curve of percentage of the 95th percentile for BMI (%BMIp95). Random effects (individual growth curves) and fixed effects (prediabetes status, starting age and %BMIp95, sex, race/ethnicity, and linear slope and quadratic term of months since the initial visit) were modeled. Interactions between prediabetes and elapsed time estimated the influence of a recent prediabetic-range HbA1c on weight during the subsequent 12 months. Mean %BMIp95 was 125.5% (SD 22.5), corresponding to severe obesity, and 35% had prediabetes. Adjusted monthly decrease in %BMIp95 was stronger for children with prediabetes compared with the peers in this clinic (slope: -0.62, standard error 0.10,   0.001). There was greater weight improvement among children with prediabetes compared with their peers with normal HbA1c.

Traditionally, clinical reasoning is developed with purposeful exposure to clinical problems through case-based learning and clinical reasoning conferences that harvest a collaborative exchange of information in real-life settings. While virtual platforms have greatly expanded access to remote clinical learning, case-based clinical reasoning opportunities are scarce in low and middle income countries. The Clinical Problem Solvers (CPSolvers), a nonprofit organization focused on clinical reasoning education, launched Virtual Morning Report (VMR) during the COVID-19 pandemic. VMR is an open-access, case-based clinical reasoning virtual conference on the Zoom platform modeled after an academic morning report format available to participants worldwide. The authors conducted 17 semi-structured interviews with CPSolvers' VMR participants from 10 different countries to explore the experiences of the international participants of VMR. The CPSolvers was founded by US physicians and has now expanded to include international members throughout all levels of the organization. VMR is open-access to all learners. Preliminary survey data collected from VMR sessions revealed 35% of the attendees were from non-English speaking countries and 53% from non US countries. Analysis generated four themes that captured the experiences of international participants of VMR: 1) Improving clinical reasoning skills where participants had little to no access to this education or content; 2) Creating a global community from a diverse, safe, and welcoming environment made possible by the virtual platform; 3) Allowing learners to become agents of change by providing tools and skills that are directly applicable in the setting in which they practice medicine; 4) Establishing a global platform, with low barriers to entry and open-access to expertise and quality teaching and content. Study participants agreed with the themes, supporting trustworthiness. Findings suggest VMR functions as and has grown into a global community of practice for clinical reasoning. The authors propose strategies and guiding principles based on the identified themes for educators to consider when building effective global learning communities. In an interdependent world where the virtual space eliminates the physical boundaries that silo educational opportunities, emphasis on thoughtful implementation of learning communities in a global context has the potential to reduce medical education disparities in the clinical reasoning space and beyond.

PURPOSE OF REVIEW

In the United States, candidates with hepatocellular carcinoma (HCC) meeting standardized qualifying criteria receive similar priority on the liver transplant waiting list through Model for End-Stage Liver Disease exception points, without consideration of the dropout risk or relative expected benefit from liver transplantation. A more nuanced allocation scheme for HCC is needed to better represent the individual urgency for liver transplant and optimize organ utility. In this review, we discuss the development of HCC risk prediction models for practical use in liver allocation.

RECENT FINDINGS

HCC is a heterogenous disease that requires improved risk stratification for patients who fall within current transplant eligibility criteria. Several models have been proposed, though none have been adopted in clinical practice or liver allocation to date, due to various limitations.

SUMMARY

Improved HCC risk stratification for liver transplant candidates is needed to more accurately represent their urgency for transplant, with continued attention to the potential impact on post-liver transplant outcomes. Plans to implement a continuous distribution model for liver allocation in the United States may provide an opportunity to re-consider a more equitable allocation scheme for patients with HCC.

Longitudinal snoring changes can be captured using a mobile phone application. During hypoglossal nerve stimulator (HNS) therapy up-titration, increasing stimulation voltage was associated with reduced snoring frequency and intensity in this case series of six patients. Laryngoscope, 134:987-992, 2024.

BACKGROUND

As immune checkpoint inhibitors (CPI) are increasingly approved for cancer treatment, hospitalizations related to severe immune-related adverse events (irAE) will increase. Here, we identify patients hospitalized due to irAEs and describe survival outcomes across irAE, CPI, and cancer type.

METHODS

We identified patients hospitalized at our institution from January 2012 to December 2020 due to irAEs. Survival was analyzed using Kaplan-Meier survival curves with log-rank tests.

RESULTS

Of 3137 patients treated with CPIs, 114 (3.6%) were hospitalized for irAEs, resulting in 124 hospitalizations. Gastrointestinal (GI)/hepatic, endocrine, and pulmonary irAEs were the most common causes of irAE-related hospitalization. After CPI initiation, the average time to hospitalization was 141 days. Median survival from hospital admission was 980 days. Patients hospitalized due to GI/hepatic and endocrine irAEs had longer median survival than patients with pulmonary irAEs (795 and 949 days vs. 83 days [P .001]). Patients with melanoma and renal cell carcinoma had longer median survival than patients with lung cancer (2792 days and not reached vs. 159 days [P .001]). There was longer median survival in the combination group compared to the PD-(L)1 group (1471 vs. 529 days [P = .04]).

CONCLUSIONS

As CPI use increases, irAE-related hospitalizations will as well. These findings suggest that among patients hospitalized for irAEs, survival differs by irAE and cancer type, with worse survival for patients with irAE pneumonitis or lung cancer. This real-world data contributes to research pertaining to hospitalization due to severe irAEs, which may inform patient counseling and treatment decision-making.

Neoadjuvant chemotherapy (NAC) increases rates of successful breast-conserving surgery (BCS) in patients with breast cancer. However, some studies suggest that BCS after NAC may confer an increased risk of locoregional recurrence (LRR). We assessed LRR rates and locoregional recurrence-free survival (LRFS) in patients enrolled on I-SPY2 (NCT01042379), a prospective NAC trial for patients with clinical stage II to III, molecularly high-risk breast cancer. Cox proportional hazards models were used to evaluate associations between surgical procedure (BCS vs mastectomy) and LRFS adjusted for age, tumor receptor subtype, clinical T category, clinical nodal status, and residual cancer burden (RCB). In 1462 patients, surgical procedure was not associated with LRR or LRFS on either univariate or multivariate analysis. The unadjusted incidence of LRR was 5.4% after BCS and 7.0% after mastectomy, at a median follow-up time of 3.5 years. The strongest predictor of LRR was RCB class, with each increasing RCB class having a significantly higher hazard ratio for LRR compared with RCB 0 on multivariate analysis. Triple-negative receptor subtype was also associated with an increased risk of LRR (hazard ratio: 2.91, 95% CI: 1.8-4.6, P 0.0001), regardless of the type of operation. In this large multi-institutional prospective trial of patients completing NAC, we found no increased risk of LRR or differences in LRFS after BCS compared with mastectomy. Tumor receptor subtype and extent of residual disease after NAC were significantly associated with recurrence. These data demonstrate that BCS can be an excellent surgical option after NAC for appropriately selected patients.