Citations

Abstract Objective To use an artificial intelligence (AI)‐powered large language model (LLM) to improve readability of patient handouts. Study Design Review of online material modified by AI. Setting Academic center. Methods Five handout materials obtained from the American Rhinologic Society (ARS) and the American Academy of Facial Plastic and Reconstructive Surgery websites were assessed using validated readability metrics. The handouts were inputted into OpenAI's ChatGPT‐4 after prompting: “Rewrite the following at a 6th‐grade reading level.” The understandability and actionability of both native and LLM‐revised versions were evaluated using the Patient Education Materials Assessment Tool (PEMAT). Results were compared using Wilcoxon rank‐sum tests. Results The mean readability scores of the standard (ARS, American Academy of Facial Plastic and Reconstructive Surgery) materials corresponded to “difficult,” with reading categories ranging between high school and university grade levels. Conversely, the LLM‐revised handouts had an average seventh‐grade reading level. LLM‐revised handouts had better readability in nearly all metrics tested: Flesch‐Kincaid Reading Ease (70.8 vs 43.9; P < .05), Gunning Fog Score (10.2 vs 14.42; P < .05), Simple Measure of Gobbledygook (9.9 vs 13.1; P < .05), Coleman‐Liau (8.8 vs 12.6; P < .05), and Automated Readability Index (8.2 vs 10.7; P = .06). PEMAT scores were significantly higher in the LLM‐revised handouts for understandability (91 vs 74%; P < .05) with similar actionability (42 vs 34%; P = .15) when compared to the standard materials. Conclusion Patient‐facing handouts can be augmented by ChatGPT with simple prompting to tailor information with improved readability. This study demonstrates the utility of LLMs to aid in rewriting patient handouts and may serve as a tool to help optimize education materials. Level of Evidence Level VI.

Background: Hospitalization represents a major access point for prescription opioids, yet little is known regarding patterns and outcomes of opioid exposures before and after hospitalization for critical illness. Methods: This is an observational, population-based cohort study of adults (≥18 years) hospitalized for critical illness from 2010 to 2019. Multivariable models assess associations between opioid exposures prior to hospitalization, classified according to the Consortium to Study Opioid Risks and Trends, and posthospitalization opioid exposures and clinical outcomes through 1-year posthospitalization. Results: Of 11 496 patients, 6318 (55%) were men with a median age of 66 (51, 79) years and 40% (n = 4623) surgical admissions. Prehospitalization opioid availability included 8449 (73%) none, 2117 (18%) short-term, 471 (4%) episodic, and 459 (4%) long-term. Thirty-nine percent (4144/10 708) of hospital survivors were discharged with opioids, with higher prescribing rates for surgical admissions (55%). Greater preadmission opioid exposures were associated with higher prevalent opioid availability at 1 year (odds ratio [95% confidence interval] 24.1 [18.3-31.8], 9.42 [7.18-12.3], and 2.55 [2.08-3.12] for long-term, episodic, and short-term exposures, respectively, vs none, P < .001). Greater preadmission opioid exposures were associated with longer hospitalizations (1.13 [1.04-1.23], 1.15 [1.06-1.25], and 1.08 [1.04-1.13] multiplicative increase in geometric mean, P < .001), more readmissions (hazard ratio [HR] 2.08 [1.74-2.49], 1.88 [1.56-2.26], and 1.48 [1.33-1.64], P < .001), and higher 1-year mortality (HR 1.59 [1.28-1.98], 1.75 [1.41-2.18], and 1.49 [1.32-1.69], P < .001). Similar associations were observed across surgical and nonsurgical admissions. Conclusions: Prehospitalization opioid exposures in survivors of critical illness are associated with clinical outcomes through 1 year and may serve as important prognostic markers.

Background Obesity is intricately associated with type-2 diabetes (T2D) and other cardiovascular conditions, increasing morbidity, mortality, and health care costs. Metabolic and bariatric surgeries (MBS) have shown promising results in significant weight loss and T2D remission, but existing predictive scores for post-MBS diabetes remission do not consider insulin dosage, potentially overlooking a critical factor. Methods A retrospective analysis of patients with T2D who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). The study focused on insulin dosage impact, divided into quartiles, on remission rates post-MBS. The effectiveness of RYGB vs SG was compared within insulin dose quartiles with up to 5 years of follow up. Results A total of 508 patients (64% female, 94.9% White, mean age 53.5 ± 10.5 years, BMI (46.0 ± 8.3 kg/m 2 ) were included in the analysis. This study demonstrates a profound association between insulin dosage quartiles and T2D remission after MBS. Patients with lower insulin requirements showed superior remission rates; those in the lowest quartile had remission rates of 73%, 70%, and 62% at 1, 3, and 5 years, respectively, compared to 34%, 37%, and 36% in the highest quartile ( P < 0.001 across all intervals). RYGB surgery showed a significantly better remission in the second and third insulin quartiles, suggesting its effectiveness over SG for patients with mid-range insulin requirements. Conclusion This study underscores the importance of considering insulin dosage when predicting T2D remission post-MBS. The findings advocate for a more nuanced selection of MBS procedures based on individual insulin profiles, potentially enhancing diabetes remission outcomes.

Background: Snapping biceps femoris syndrome (SFS) represents a rare clinical entity in which the biceps femoris subluxates over the fibular head in deep flexion. Two primary pathophysiologies have been described including a prominent or abnormal fibular head morphology. Others have implicated an anomalous biceps femoris insertion. The diagnosis is made clinically, with operative and nonoperative intervention strategies available for treatment. Indications: SFS often results in audible snapping and associated pain at the lateral fibular head. When recalcitrant to nonoperative management, surgical intervention can lead to resolution of symptoms. We present the case of a college-aged male who has bilateral symptoms, worse on the right, which have resulted in significant activity modification and daily discomfort recalcitrant to anti-inflammatory medication and physical therapy. Technique Description: The patient was placed supine on the operating room table with an ipsilateral bump under the hip to assist in exposure of the lateral aspect of the knee. Examination under anesthesia (EUA) confirmed the snapping biceps femoris. A lateral approach to the knee and a common peroneal neurolysis was performed. The biceps femoris insertional anatomy was examined for anomalous tendon insertion or insertional tearing. The prominent fibular head was exposed and resected, with careful attention not to disrupt the lateral collateral ligament or popliteofibular ligament insertion sites. The biceps femoris was then repaired to the prepared bony bed of the fibula with one double-loaded suture anchor. Repeat EUA confirmed complete resolution of snapping even with maximal internal rotation of the tibia; this was carefully examined again with the tourniquet deflated to ensure its compressive effect was not partially responsible for the resolution. Results: Published data pertaining to SFS is limited to case reports and small case series. With appropriate indications, surgical intervention yields promising results with a high percentage of patients returning to prior level of activity or prior participation level in sport. Discussion/Conclusion: SFS can be diagnosed with a careful clinical assessment. When recalcitrant to nonoperative management, it is effectively treated with surgical intervention to restore normal fibular anatomy, and prevent recurrent instability and persistent pain. The presented technique allows for appropriate management of these rare injuries. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.

PURPOSE Globally, cancer drug expenditure exceeds $185 in US dollars (USD) billion, with the United States contributing $75 (USD) billion. Many cancer drug doses are calculated on the basis of body weight or body surface area, which often results in leftover drug in partially used single-dose vials (SDVs). The cost of wasted drug is a huge financial burden on the US health care system. We evaluated the cost savings resulting from the reduction of SDV wastage, achieved through the implementation of automated dose rounding rules in electronic health records (EHRs). METHODS Mayo Clinic implemented automated dose rounding rules within the EHR. These rules were designed to round calculated doses to the nearest SDV if the vial size closely matched the original calculated dose, within a 10% threshold. We assessed doses administered between January 2019 and December 2021, and computed cost-savings, waste reduction, and cost of waste for chemotherapy drugs. RESULTS In 3 years, 36.1% of doses were rounded down, 35.8% were rounded up, and 28.1% were exact doses. By rounding doses down to a vial size, we achieved cost-savings of $39.75 (USD) million and prevented 62,065 SDV of cancer drugs from going to waste. By rounding doses up, we avoided wasting $9.95 (USD) million worth of drugs. However, there were still instances where the rounding fell outside of the 10%, resulting in wasted drugs worth $25 (USD) million. CONCLUSION The substantial burden imposed on patients and the US health care system because of cancer drug wastage is of significant concern. Although the automated dose rounding system represents a partial solution for this issue, a comprehensive approach involves the imperative development of policy and legislative solutions to effectively mitigate the challenges associated with cancer drug waste.

2053 Background: Current methods for glioma treatment response assessment are limited. This study aimed to assess the technical and clinical feasibility of molecular profiling using intracranial CSF from patients with gliomas during their disease course. Methods: Adults with gliomas were recruited for longitudinal intracranial CSF collection using 1) Ommaya reservoirs, from which CSF would be sampled on at least two separate occasions, or 2) CSF collection from other clinically indicated CSF access devices, such as ventriculoperitoneal (VP) shunts. Patients were followed until their last visit or present time for ongoing participants. For this initial cfDNA feasibility study, CSF was collected from Ommaya reservoirs in four patients and from an existing VP shunt in one patient. cfDNA was then extracted and analyzed using two sequencing platforms, PredicineCARE for cancer variant profiling and PredicineSCORE for low-pass whole genome sequencing (LP-WGS). This analysis generated genomic aberration profiles and genome-wide copy number burden (CNB) score. Results: Five patients (2 females, 3 males; median age: 40 years, range 32-64 years) underwent longitudinal intracranial CSF collection via Ommaya reservoirs (n=4) or VP shunt (n=1). In total, thirty-five CSF samples were obtained (median volume: 3.80 mL; 0.5-5 mL), with 30 samples (85.7%) yielding sufficient cfDNA for variant profiling and LP-WGS. Our initial findings suggest that tumor fraction increased by 6.28x and 2.87x with radiographic progression in two patients. Tumor fraction decreased by 0.08x and 0.04x in two patients with paired immediate pre-versus-post chemoradiation samples. Despite ongoing pseudoprogression in one patient, tumor fraction decreased to unmeasurable levels from a post-resection baseline of 0.26. Patient-specific tumor-associated variant allelic frequencies (VAFs), including TP53, PTEN, TERT, and CDKN2A/B, decreased within individual patients after resection and chemoradiation. In two patients with isocitrate dehydrogenase (IDH) mutant gliomas, decreasing IDH1 VAF after resection correlated with decreased CSF D-2-hydroxyglutarate (D-2-HG) levels (0.64x and 0.62x, respectively, for the first patient, and 0.01x and 0.07x for the other patient). Both CSF IDH1 VAF and CSF D-2-HG increased in the patient who had radiographic progression (2.56x and 9.21x, respectively). Moreover, CNB decreased below the limit of quantification during treatment and increased above the limit at progression. Conclusions: Longitudinal CSF cfDNA can feasibly be obtained via CSF access devices in patients with gliomas during their disease course. Ongoing studies will evaluate hypotheses generated in this case series regarding how longitudinal CSF cfDNA could be utilized to sensitively detect changes in disease burden. Clinical trial information: NCT04692337 ; NCT04692324 .

Cystic fibrosis is caused by biallelic pathogenic variants in the CFTR gene, which contains a polymorphic (TG)mTn sequence (the “poly-T/TG tract”) in intron 9. While T9 and T7 alleles are benign, T5 alleles with longer TG repeats, e.g., (TG)12T5 and (TG)13T5, are clinically significant. Thus, professional medical societies currently recommend reporting the TG repeat size when T5 is detected. Sanger sequencing is a cost-effective method of genotyping the (TG)mTn tract; however, its polymorphic length substantially complicates data analysis. We developed CFTR-TIPS, a freely available web-based software tool that infers the (TG)mTn genotype from Sanger sequencing data. This tool detects the (TG)mTn tract in the chromatograms, quantifies goodness of fit with expected patterns, and visualizes the results in a graphical user interface. It is broadly compatible with any Sanger chromatogram that contains the (TG)mTn tract ± 15 bp. We evaluated CFTR-TIPS using 835 clinical samples previously analyzed in a CLIA-certified, CAP-accredited laboratory. When operated fully automatically, CFTR-TIPS achieved 99.8% concordance with our clinically validated manual workflow, while generally taking less than 10 s per sample. There were two discordant samples: one due to a co-occurring heterozygous duplication that confounded the tool and the other due to incomplete (TG)mTn tract detection in the reverse chromatogram. No clinically significant misclassifications were observed. CFTR-TIPS is a free, accurate, and rapid tool for CFTR (TG)mTn tract genotyping using cost-effective Sanger sequencing. This tool is suitable both for automated use and as an aid to manual review to enhance accuracy and reduce analysis time.

Abstract OBJECTIVES To estimate gender disparities among first and last authorships in cardiothoracic randomized controlled trials (RCTs) and association of gender with publications in high-impact journals. METHODS PubMed/MEDLINE database was searched from 1 January 2014 to 31 December 2020 using R statistical software via the ‘easyPubMed’ package to retrieve pertinent data. The ‘gender’ package was utilized to determine gender using the United States Social Security Administration Baby Name Data. The percentage of female first and last authors were computed along with determining the uniqueness of the names. The association of gender and publication in high-impact peer-reviewed journals was delineated. Jonckheere’s trend was computed. RESULTS The database search retrieved a total of 4820 RCTs, of which gender was encoded for the first author in 3247 (67%) RCTs, among which 911 (28%) studies had women as first authors, with a similar trend across 7 years (P = 0.23). Gender was encoded for the last author of 3204 (66%) RCTs, of which 622 (19%) studies had women as last authors, with a similar trend across 7 years (P = 0.45). A total of 627 studies were published in high-impact-factor journals, among which 79 (16%) studies had female first authors and 67 (13%) studies had female last authors. CONCLUSIONS There is an obvious gender disparity of first and last authors in cardiothoracic surgery-related RCTs, with a similar trend across 7 years. However, the post-hoc analysis did demonstrate a positive trend with an increase in the number of female first authors, demonstrating progress.

PURPOSE Acute lymphoblastic leukemia (ALL) can occur across all age groups, with a strikingly higher cure rate in children compared with adults. However, the pharmacological basis of age-related differences in ALL treatment response remains unclear. METHODS Studying 767 children and 309 adults with newly diagnosed B-cell ALL enrolled on frontline trials at St Jude Children's Research Hospital, MD Anderson Cancer Center, the Alliance for Clinical Trials in Oncology, and the ECOG-ACRIN Cancer Research Group, we determined the ex vivo sensitivity of leukemia cells to 21 drugs. Twenty-three ALL molecular subtypes were identified using RNA sequencing. We systematically characterized the associations between drug response and ALL genomics in children, adolescents and young adults, and elderly adults. We evaluated the effect of age-related gene expression signature on ALL treatment outcomes. RESULTS Seven ALL drugs (asparaginase, prednisolone, mercaptopurine, dasatinib, nelarabine, daunorubicin, and inotuzumab ozogamicin) showed differential activity between children and adults, of which six were explained by age-related differences in leukemia molecular subtypes. Adolescents and young adults showed similar patterns of drug resistance as older adults, relative to young children. Mercaptopurine exhibited subtype-independent greater sensitivity in children. Transcriptomic profiling uncovered subclusters within CRLF2 -, DUX4 -, and KMT2A -rearranged ALL that were linked to age and cytotoxic drug resistance. In particular, a subset of children had adult-like ALL on the basis of leukemia gene expression patterns across subtypes, despite their chronological age. Resistant to cytotoxic drugs, children with adult-like ALL exhibited poor prognosis in pediatric ALL trials, even after adjusting for age and minimal residual diseases. CONCLUSION Our results provide pharmacogenomic insights into age-related disparities in ALL cure rates and identify leukemia prognostic features for treatment individualization across age groups.