Faculty Bibliography

BACKGROUND:Acute decompensated heart failure (HF) can progress to cardiogenic shock, and patients with cancer are at an increased risk of HF compared to patients without cancer. However, limited data exist on outcomes of patients admitted for HF-related cardiogenic shock (HF-CS) with cancer versus without cancer. METHODS:Adult patients admitted for HF-CS between 2014-2020 were identified using the National Readmission Database. Propensity score matching (PSM) was used to match 1 patient with cancer to 10 patients without cancer. Primary outcomes were in-hospital death, major bleeding, and thrombotic complications. Exploratory outcomes were 90-day readmission rates among patients who survived initial hospitalization. Temporal trends were also explored. RESULTS:Of 137,316 admissions for HF-CS, 7,306 (5.3%) had active cancer. After PSM, patients with cancer had increased odds of in-hospital death (OR 1.12, 95% CI 1.06 - 1.18), thrombotic complications (OR 1.12, 95% CI 1.03 - 1.21), and major bleeding (OR 1.23, 95% CI 1.17 - 1.31) compared to patients without cancer, with risks differing by cancer type. In exploratory analyses, rates of readmission were similar for patients with and without cancer. From 2014-2020, patients with cancer had no significant change in in-hospital mortality (ptrend = 0.43), while patients without cancer had decreased mortality over time (ptrend < 0.001). CONCLUSIONS:Among patients admitted for HF-CS, patients with cancer are at increased risk of in-hospital death, thrombotic complications, and major bleeding compared to patients without cancer. Future studies are needed to guide nuanced evaluation and management of this population to improve outcomes.

BACKGROUND:A 2021 meta-analysis of 37 randomised controlled trials (RCTs) of vitamin D supplementation for prevention of acute respiratory infections (ARIs) revealed a statistically significant protective effect of the intervention (odds ratio [OR] 0·92 [95% CI 0·86 to 0·99]). Since then, six eligible RCTs have been completed, including one large trial (n=15 804). We aimed to re-examine the link between vitamin D supplementation and prevention of ARIs. METHODS:Updated systematic review and meta-analysis of data from RCTs of vitamin D for ARI prevention using a random effects model. Subgroup analyses were done to determine whether effects of vitamin D on risk of ARI varied according to baseline 25-hydroxyvitamin D (25[OH]D) concentration, dosing regimen, or age. We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, Web of Science, and the ClinicalTrials.gov between May 1, 2020 (end-date of search of our previous meta-analysis) and April 30, 2024. No language restrictions were imposed. Double-blind RCTs supplementing vitamin D for any duration, with placebo or lower-dose vitamin D control, were eligible if approved by a Research Ethics Committee and if ARI incidence was collected prospectively and pre-specified as an efficacy outcome. Aggregate data, stratified by baseline 25(OH)D concentration and age, were obtained from study authors. The study was registered with PROSPERO (no. CRD42024527191). FINDINGS/RESULTS:=0·0%). A funnel plot showed left-sided asymmetry (p=0·0020, Egger's test). INTERPRETATION/CONCLUSIONS:This updated meta-analysis yielded a similar point estimate for the overall effect of vitamin D supplementation on ARI risk to that obtained previously, but the 95% CI for this effect estimate now includes 1·00, indicating no statistically significant protection. FUNDING/BACKGROUND:None.

DESIGN/METHODS:Retrospective database analysis. OBJECTIVE:This study aims to assess the RVU compensation model for the most common spine surgeries. BACKGROUND:Physician work is commonly valued by utilizing the relative value unit (RVU) model for compensation. Our aim in this study was to assess RVU and RVU per minute valuations of the most common spine procedures comparing cervical versus lumbar and fusion versus non-fusion cases. METHODS:The ACS-NSQIP database was utilized to identify the most commonly performed spine procedures. RVU and RVU per minute values were calculated and compared in each group. RESULTS:In all, 18,779 entries encompassing 28 CPT codes/code combinations were identified. Average RVUs were higher in cervical spine cases compared with lumbar cases (29 vs. 20 RVUs, respectively). Furthermore, cervical cases had significantly higher RVUs per minute compensation compared with lumbar cases (0.26 vs. 0.18 RVUs/min; P=0.01). Fusion cases also fared higher average RVUs compared with nonfusion cases (28 vs. 19 RVUs, respectively). However, when corrected for operative time, fusion cases did not differ significantly in RVUs per minute (P=0.13). CONCLUSIONS:Cervical spine surgery provides the best value for the surgeon in terms of RVUs per minute. We highlight key aspects of the compensation model in spine surgery. LEVEL OF EVIDENCE/METHODS:Level III-economic study.

Diagnosing and characterizing biliary strictures (BS) remains challenging. Artificial intelligence (AI) applied to digital single-operator cholangioscopy (D-SOC) holds promise for improving diagnostic accuracy in indeterminate BS. This multicenter study aimed to validate a convolutional neural network (CNN) model using a large dataset of D-SOC images to automatically detect and characterize malignant BS. D-SOC exams from three centers-Centro Hospitalar Universitário de São João, Porto, Portugal (n = 123), Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain (n = 18), and New York University Langone Hospital, New York, USA (n = 23)-were included. Frames were categorized based on histopathology. The CNN's performance in detecting tumor vessels, papillary projections, nodules, and masses was assessed. The dataset was split into 90% training and 10% validation sets. Performance metrics included AUC, sensitivity, specificity, PPV, and NPV. Analysis of 96,020 images from 164 D-SOC exams (50,427 malignant strictures and 45,593 benign findings) showed the CNN achieved 92.9% accuracy, 91.7% sensitivity, 94.4% specificity, 95.1% PPV, 93.1% NPV, and an AUROC of 0.95. Accuracy rates for morphological features were 90.8% (papillary projections), 93.6% (nodules), 93.2% (masses), and 78.1% (tumor vessels). AI-driven CNN models hold promise for enhancing diagnostic accuracy in suspected biliary malignancies. This multicenter study contributes diverse datasets to ongoing research, supporting further AI applications in this patient population.

Undergraduate medical educators seek to optimize student learning, improve grading transparency and fairness, and provide useful information to residency programs. Recently, the United States Medical Licensing Examination's shift to pass/fail scoring for Step 1 disrupted curricular and assessment operations, and schools' tiered grading practices have been scrutinized. In noting that significant institutional time and energy were being expended in addressing the current levels of student grade appeals, 6 public and private medical schools in the Northeastern United States engaged in an examination of grade appeals via a root cause analysis (RCA). From November 2021 to April 2022, the authors reviewed specific instances of grading challenges that the team of educators encountered previously. From May to June 2022, the authors met for a facilitated discussion of the question, "Why are students challenging grading processes and systems or outcomes?" From July to October 2022, the authors identified root causes by analyzing results from the fishbone diagram (process, equipment, materials, people, and environment) and using the "five whys" technique. Several potential explanations for grade appeals and challenging grading systems across institutions were identified, including variability in the quality or experience of evaluators, lack of clarity about the goals and expectations of clerkships and a lack of transparency about the grading process, having a tiered grading system, technical issues with equipment, and clinical productivity demands of faculty. In proposing solutions to root causes identified in the RCA, factors were mapped to Liaison Committee on Medical Education (LCME) standards to facilitate quality and process improvements in grading. Aiming to support the learning environment and a fair and equivalent assessment process, the authors present a novel RCA and LCME method that can contribute to improving grading systems and has the potential to enhance learning and success.

PURPOSE/OBJECTIVE:Immune checkpoint inhibitors (ICIs) have revolutionized the care of patients with cancer, but use among hospitalized patients is controversial as a result of questionable benefit and high costs. To evaluate the role of ICIs in the inpatient (IP) setting, we conducted the Inpatient Immunotherapy Outcomes Study (IIOS) to describe characteristics and outcomes of patients who received IP ICIs. METHODS:IIOS is a retrospective study of patients treated with ICIs during hospitalization between 2012 and 2021 at five academic institutions. Data collection was performed using each institution's electronic medical record. We estimated overall survival (OS) from the first administration of ICI using the Kaplan-Meier method and used adjusted Cox proportional hazards models to explore associations between clinicodemographic variables and OS. RESULTS:Two hundred fifteen patients received IP ICIs (median age 60 years; 55% White; 14% Black; 13% Hispanic). Thoracic and head and neck (24%), GI (21%), and hematologic (19%) malignancies were most common. Most of the patients were ICI-naïve (75%), had stage IV solid malignancies (75%) at the time of IP ICI initiation, and had no radiographic response to ICI therapy (88%). Median OS from the first IP ICI dose was 1.55 months (95% CI, 1.08 to 1.81) for all patients and 1.28 months (95% CI, 0.95 to 1.80) for patients with advanced solid malignancies. Multivariable Cox proportional hazards model analysis found no clinicodemographic variables associated with improved OS after IP ICI administration. CONCLUSION/CONCLUSIONS:IIOS is the largest multi-institutional effort to describe outcomes after IP ICI administration. Clinical outcomes are poor after IP ICI use and IP ICIs should be used with caution.

INTRODUCTION/BACKGROUND:Ballistics is the science that studies the trajectory, range, and effects of projectiles. Knowledge of the principles of wound ballistics is of particular importance to the surgeon because they allow the optimization of the diagnosis and treatment of those injured by firearms. This review focuses on the updated knowledge of wound ballistics as it pertains to the diagnosis and treatment of gunshot wounds. METHODS:A literature review was performed using PubMed, Scopus, and Embase databases. The search was limited to observational articles pertaining to wound ballistics and its relationship to patient management in English and Spanish published between January 2014 and March 2024. Studies about weapon design, patients with lethal injuries, experimental, forensic, historical studies, and those reports on pediatric population were excluded. RESULTS:Eleven articles from twenty-eight publications meeting the inclusion criteria were reviewed. CONCLUSIONS:The understanding of wound ballistics enhances the ability to identify potential injuries and to optimize the treatment of gunshot wounds in adults.

BACKGROUND:Disruption of ambulatory healthcare in New York City (NYC) during the COVID-19 pandemic was common, but the impact on the cardiometabolic health of vulnerable patient groups is unknown. Therefore, we estimated the effect of total care disruption (TCD) on blood pressure (BP) control among older NYC residents with hypertension and at least one other chronic condition, and examined whether neighborhood poverty moderated this impact. METHODS:From the INSIGHT Clinical Research Network, we identified NYC residents ≥50 years of age with hypertension and at least one other chronic condition. TCD was defined as no ambulatory or telehealth visit during the pandemic. We contrasted the change in prevalence of controlled BP (BP <140/90) before and after the pandemic among those with and without TCD via an inverse probability weighted (IPW) difference-in-difference regression model. RESULTS:Among 212,673 eligible individuals, mean age was 69.5 years (SD: 10.2 years) and 15.1% experienced TCD. BP control declined from 52.4% to 45.9% among those with TCD and from 53.6% to 48.9% among those without TCD. After IPW adjustment, a larger decline in BP control was noted among those with TCD (adjusted difference-in-difference = 1.13 percentage points (95% CI 0.32-1.94, p-value=0.0058)). There was no consistent difference in the relationship between TCD and post-pandemic BP control across neighborhood poverty levels. CONCLUSION/CONCLUSIONS:COVID-19-related TCD was associated with a modest decline in BP control among older adults with hypertension in NYC; this was not moderated by neighborhood poverty level.