Faculty Bibliography

Low-protein diets (LPDs), usually defined as a daily dietary protein intake of 0.6 to 0.8 g/kg body weight, have been recommended for decades as a safe and effective lifestyle modification to ameliorate inflammatory damage and proteinuria, reduce glomerular hyperfiltration, and improve metabolic acidosis control in patients with chronic kidney disease (CKD). The mechanism for this is largely attributed to altered tubuloglomerular feedback and afferent arteriole contraction leading to decreased glomerular pressure. Additionally, low protein intake reduces urea generation, which can help delay dialysis initiation in advanced CKD. LPDs have different types including plant-dominant LPDs that can exert additional kidney protective effects as a result of dietary protein quality in addition to quantity. In addition, strong clinical evidence shows that a new class of diabetes mellitus medications, the sodium-glucose cotransporter 2 inhibitors, reduces albuminuria and slows the estimated glomerular filtration rate decline in CKD, even in patients without diabetes mellitus, especially if significant proteinuria is present. Given prior studies investigating the effect of LPDs used in conjunction with angiotensin pathway modulators, we argue that LPDs have a synergistic role in disease management and are expected to display additive effects when combined with sodium-glucose cotransporter 2 inhibitor usage or other pharmacologic agents. Even with medical therapy, it is prudent to implement tailored LPDs for different types of CKD.

Popular diets often influence dietary patterns, which have different implications for kidney stone risk. Despite the wide variety of popular diets, some general principles can be gleaned from investigating their potential impact on nephrolithiasis. Plant-based diets, including Dietary Approaches to Stop Hypertension, Mediterranean, flexitarian, and vegetarian diets, may protect against nephrolithiasis when they consist largely of unprocessed plant foods, while carbohydrate-restricted diets (including high-protein diets and the ketogenic diet) may raise kidney stone risk. Patients should be advised to consume a diet rich in whole plants, particularly fruits and vegetables, and minimize their consumption of animal proteins. Accompanying fruits and vegetables that are higher in oxalate content with more water and some dairy intake may also be useful. (We address the oxalate content of fruits and vegetables further below). Calcium consumption is an important component of decreasing the risk of kidney stones, as higher dietary calcium from dairy or nondairy sources is independently associated with lower kidney stone risk. Patients should also be advised to be conscious of fat intake, as fat in the intestinal lumen may complex with calcium and therefore increase urinary oxalate excretion. Finally, patients should avoid consumption of processed foods, which often contain added fructose and high sodium content, two factors that increase kidney stone risk.

EUS and ERCP are widely used for the evaluation and management of various pancreatobiliary conditions. They are generally regarded as safe procedures. Perforation is a rare but life-threatening adverse event of EUS and ERCP. Here we present 3 cases of ERCP- and EUS-related perforations that were successfully managed with over-the-scope clips (OTSCs). This work highlights the importance of early recognition and management of post-ERCP and -EUS perforations to ensure the best outcome possible. OTSCs have expanded the ability to close larger perforations and fistulas and could be considered a first-line tool for endoscopic closure of ERCP- and EUS-related perforations.

PURPOSE:To describe patterns of clinical communication skills that inform curriculum enhancement and guide coaching of medical students. MATERIALS AND METHODS:Performance data from 1182 consenting third year medical students in 9 cohorts (2011-2019), on a 17-item Clinical Communication Skills Assessment Tool (CCSAT) completed by trained Standardized Patients as part of an eight case high stakes Comprehensive Clinical Skills Exam (CCSE) were analyzed using latent profile analysis (LPA). Assessment domains included: information gathering (6 items), relationship development (5 items), patient education (3 items), and organization/time management (3 items). LPA clustered learners with similar strength/weakness into profiles based on item response patterns across cases. One-way analysis of variance (ANOVA) assessed for significant differences by profile for CCSAT items. RESULTS:Student performance clustered into six profiles in three groups, high performing (HP1 and HP2-Low Patient Education, 15.7%), average performing (AP1 and AP2-Interrupters, 40.9%), and lower performing profiles (LP1-Non-interrupters and LP2, 43.4%) with adequate model fit estimations and similar distribution in each cohort. We identified 3 CCSAT items that discriminated among learner's skill profiles. CONCLUSION:Clinical communication skill performance profiles provide nuanced, benchmarked guidance for curriculum improvement and tailoring of communication skills coaching.

PROBLEM:Reviewing residency application narrative components is time intensive and has contributed to nearly half of applications not receiving holistic review. The authors developed a natural language processing (NLP)-based tool to automate review of applicants' narrative experience entries and predict interview invitation. APPROACH:Experience entries (n = 188,500) were extracted from 6,403 residency applications across 3 application cycles (2017-2019) at 1 internal medicine program, combined at the applicant level, and paired with the interview invitation decision (n = 1,224 invitations). NLP identified important words (or word pairs) with term frequency-inverse document frequency, which were used to predict interview invitation using logistic regression with L1 regularization. Terms remaining in the model were analyzed thematically. Logistic regression models were also built using structured application data and a combination of NLP and structured data. Model performance was evaluated on never-before-seen data using area under the receiver operating characteristic and precision-recall curves (AUROC, AUPRC). OUTCOMES:The NLP model had an AUROC of 0.80 (vs chance decision of 0.50) and AUPRC of 0.49 (vs chance decision of 0.19), showing moderate predictive strength. Phrases indicating active leadership, research, or work in social justice and health disparities were associated with interview invitation. The model's detection of these key selection factors demonstrated face validity. Adding structured data to the model significantly improved prediction (AUROC 0.92, AUPRC 0.73), as expected given reliance on such metrics for interview invitation. NEXT STEPS:This model represents a first step in using NLP-based artificial intelligence tools to promote holistic residency application review. The authors are assessing the practical utility of using this model to identify applicants screened out using traditional metrics. Generalizability must be determined through model retraining and evaluation at other programs. Work is ongoing to thwart model "gaming," improve prediction, and remove unwanted biases introduced during model training.

OBJECTIVES:Patient experience and presence of evidence-based facility services are 2 dimensions of assessing quality of addiction treatment facilities. However, the relationship between these two is not well described. The objective of this study was to explore associations between patient experience measures and service offerings at addiction treatment facilities. METHODS:We used data from cross-sectional surveys of addiction treatment facilities and persons involved in treatment at corresponding facilities to identify facility services (eg, availability of medications for alcohol use disorder, assistance with obtaining social services, etc) and patient experience measures (overall facility rating, extent helped by treatment, ability to deal with daily problems after treatment), respectively. We used hierarchical multiple logistic regression to test for associations between top-box scores for each patient experience outcome and facility services. RESULTS:We analyzed 9191 patient experience surveys from 149 facilities. Assistance with obtaining social services (adjusted odds ratio [95% confidence interval], 0.43 [0.28-0.66]) was associated with lower overall treatment facility ratings. Childcare (2.00 [1.04-3.84]) was associated with top-box scores for extent helped. Availability of cognitive behavioral therapy (2.67 [1.25-5.73]) and childcare (1.77 [1.08-2.92]) were associated with top-box scores for ability to deal with daily problems after treatment. Assistance with obtaining social services (0.61 [0.41-0.90]) was associated with lower scores for ability to deal with problems after treatment. CONCLUSIONS:Few addiction treatment facility services were associated with patient experience measures. Future work should explore bridging the gap between evidence-based services and positive patient experiences.

The objective of this study was to compare unannounced standardized patient (USP) and patient reports of care. Patient satisfaction surveys and USP checklist results collected at an urban, public hospital were compared to identify items included in both surveys. Qualitative commentary was reviewed to better understand USP and patient satisfaction survey data. Analyses included χ² and Mann-Whitney U test. Patients provided significantly higher ratings on 10 of the 11 items when compared to USPs. USPs may provide a more objective perspective on a clinical encounter than a real patient, reinforcing the notion that real patients skew overly positive or negative.

During the 2022 mpox outbreak, tecovirimat was accessed through an expanded access investigational new drug (EA-IND) protocol. We leveraged a unique public/private hospital partnership in New York City to create a novel infrastructure to navigate the EA-IND's regulatory requirements and rapidly provide tecovirimat to patients.

Although drug reaction with eosinophilia and systemic symptoms (DRESS) is associated with antiretrovirals, there are no published reports of bictegravir-induced DRESS. Bictegravir is recommended as first-line treatment for patients with human immunodeficiency virus (HIV). Recognition of DRESS, its skin manifestations, and potential complications is vital for appropriate care and management of acute HIV.