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Introduction: Chronic lymphocytic leukaemia (CLL) is the most common leukaemia type. In 2020, there were an estimated 207,463 people living with CLL, with an annual incidence of approximately 4.9 per 100,000 in the United States (US). Zanubrutinib is a Bruton tyrosine kinase inhibitor that is FDA-approved and an NCCN preferred and recommended treatment of CLL. In the phase 3 ALPINE trial (NCT03734016), zanubrutinib elicited a significantly higher overall response rate and significantly longer progression-free survival (PFS) than ibrutinib. This study aimed to compare zanubrutinib versus ibrutinib in Relapsed/Refractory (R/R) CLL by calculating the number needed to treat (NNT) to avoid one progression or death and associated incremental costs. Methods:A health-economic model was developed to evaluate the number of R/R CLL patients needed to be treated to avoid a progression or death from the US payer perspective. Payer blend was assumed with 40% Commercial and 60% Medicare payer mix. Clinical efficacy data were extracted from the ALPINE trial. Final analysis result of 24-month PFS (79.5% for zanubrutinib and 67.3% for ibrutinib) was used for the base-case analysis in the model. Treatment, adverse event management, other medical resource use, and subsequent treatment costs were considered in the model. The NNT, incremental cost per treated patient, and incremental cost per additional patient with progression or death were captured. Deterministic sensitivity analyses were conducted to assess parameter uncertainties and explore key model drivers. Scenario analyses were conducted to test the impact of different PFS estimates. Results: The base-case results fromthe NNT model showed that for every 8 patients treated with zanubrutinib, 1 event of progression or death would be avoided compared to using ibrutinib. The total costs per patient treated with zanubrutinib and ibrutinib are $370,558 and $430,150, respectively, with a cost savings of $59,593 associated with using zanubrutinib (Table). Drug costs and PFS have the greatest impact on the incremental cost per patient. Varying the PFS scenarios, including adjustment with drug interruption, COVID death, or treatment discontinuation, change the NNT from 8 to 12, and are associated with cost savings of $58,179 to $67,153 per zanubrutinib-treated patient in a 24-month time frame. Applying the model result to a hypothetical scenario of a clinical practice of 100 patients treated with zanubrutinib versus ibrutinib suggest that approximately 13 patients will avoid disease progression events or death. Conclusions: The NNT model suggests thatusing zanubrutinib to treat R/R CLL patients, compared to ibrutinib, will result in more favorable clinical and economic outcomes in the US.

Background: The treatment landscape for chronic lymphocytic leukemia (CLL) is evolving at a rapid pace, with development of several targeted therapies. The real-world applicability of clinical trial effectiveness is markedly influenced by treatment choices, the specific characteristics of patients' diseases, their overall health, and individual preferences. However, there is limited evidence to understand the impact of multiple treatment options on real-world effectiveness in CLL in routine clinical practice. This study aimed to characterize recent real-world treatment sequencing patterns and associated time to next treatment among patients with CLL in the United States. Methods: This retrospective observational study included patients diagnosed with CLL (≥18 years at diagnosis) from January 1, 2018, through January 1, 2023, who received ≥1 treatment after initial diagnosis. Patients were sourced from the ConcertAI RWD360 dataset, a real-world de-identified dataset >6 million patients from across the United States derived from various electronic health record systems and integrated with a large administrative open claims dataset. Patients were followed through the end of the record or death, whichever occurred first. Patients were classified into the following treatment categories: chemotherapy (including bendamustine-based and other chemotherapy), anti-CD20-based, Bruton tyrosine kinase inhibitor (BTKi)-based (ibrutinib, acalabrutinib, or zanubrutinib), and venetoclax-based therapy. Demographic and clinical characteristics, treatment sequencing pattern, and time to next treatment were examined across lines of therapy for each treatment category. Kaplan-Meier analysis was used to estimate median time to next treatment. Results: The study included 3,431 patients with CLL (median age: 69 years; male: 63.8%). There was a significant variation in average age among the 4 treatment groups ( P<0.0001). Compared with the overall population, patients who received anti-CD20-based therapy were slightly older (median age: 71 years), while patients who received venetoclax-based therapy were relatively younger (median age: 67 years). Patients were primarily treated in community rather than academic settings (76.4% vs 21.3%). First-line patients were most commonly treated with BTKi (60.1%), venetoclax (16.0%), and anti-CD20 (15.4%) regimens. Among patients who initiated BTKi therapies, zanubrutinib use (2.6%) was limited; this may be due to the recent approval date (January 2023). Among CLL patients, 35.0% received second-line treatment and BTKi stayed dominant (35.7%), followed by anti-CD20 (29.6%) and venetoclax (25.8%) therapies. From first- to second-line therapy, the prevailing sequencing pattern was from either one BTKi to another BTKi (23.5%), venetoclax to anti-CD20 (13.2%), or BTKi to an anti-CD20 (9.7%). From second- to third-line therapy, patients most frequently switched from anti-CD20 to venetoclax (24.6%), anti-CD20 to BTKi (13.3%), or one BTKi to another BTKi (12.6%). From third- to fourth-line therapy, the predominant sequencing pattern was from venetoclax to anti-CD20 (21.3%), anti-CD20 back to venetoclax (20.6%), or one BTKi to another BTKi (11.6%). Median time to next treatment in first line was significantly longest for patients receiving BTKi (53.9 months) and shortest for patients treated with venetoclax (7.7 months) ( P<0.0001) (Figure 1). Median time to next treatment in second line was not reached among patients using BTKi, while it was significantly shorter for those on venetoclax and anti-CD20 (10.4 months and 1.5 months, respectively; P<0.0001) (Figure 2). Conclusions: This studydemonstrated unique treatment sequencing patterns among patients with CLL in the real-world setting.As the most commonly used regimen, BTKi therapy was shown to have significantly improved time to next treatment compared with other treatment regimens in first and second lines of therapies. Future studies with extended follow-up are needed to allow for assessment of newer treatments and enable evaluation of long-term clinical outcomes.

Background: Bendamustine and rituximab (BR) is a standard-of-care first-line (1L) therapy for older or unfit patients with mantle cell lymphoma (MCL). The SHINE trial compared BR with rituximab maintenance plus ibrutinib vs placebo in patients ≥65 years old and showed that the ibrutinib arm had significantly improved progression-free survival (PFS; median 80.6 vs 52.9 months) but similar overall survival (OS; 57% vs 55% at 7 years) compared to the placebo arm. Whether sequential treatment with BR in 1L and a Bruton's tyrosine kinase inhibitor (BTKi) in second-line (2L) can result in a similar cumulative PFS compared to 1L BR plus BTKi combination therapy is unknown. To provide insight to this question, we modeled observational data to evaluate MCL outcomes after 1L BR and 2L BTKi therapy in the BTKi era. Methods: Patients with MCL who received 1L BR with or without rituximab maintenance in 2014-2020 at one of the 27 participating centers were included. Exclusion criteria included participation in the SHINE or ECHO trials, any additional 1L therapy other than BR (with or without rituximab maintenance), and stem cell transplant consolidation after 1L BR. Baseline characteristics, treatment, and follow-up data were abstracted by chart review. Event-free survival (EFS) was defined as time from index line treatment start to the first event (progression, relapse, retreatment, or death). OS was defined as time from index line treatment start to death. Using an intention-to-treat (ITT) framework, EFS2 was defined as time from 1L BR start to progression, relapse, or retreatment following 2L BTKi treatment or death. Patients who received a non-BTKi treatment at 2L were censored for EFS2 at 2L treatment start; living patients without an event following 1L BR or 2L BTKi were censored for EFS2 at last follow-up. Results: A total of 618 patients with MCL who received 1L BR in 2014-2020 were included. The median age was 71 (IQR 65-76) years, and 447 (72%) were male. 59 (11%) patients had an ECOG PS ≥2, 566 (93%) had stage III-IV disease, and simplified MIPI was low in 105 (21%), intermediate in 200 (39%), and high in 202 (40%) patients. The median follow-up following 1L BR start was 57.4 (95% CI 53.8-63.2) months. Response data were available in 580 patients, and the best ORR was 92% (79% complete response [CR] and 13% partial response [PR]). 258 (42%) patients received rituximab maintenance. As of last follow-up, 255 patients were alive and in remission after 1L BR, 92 patients died without 2L therapy, and 271 patients received a 2L therapy. The median EFS was 34.1 (95% CI 31.0-40.0) months. The median OS was 97.8 (95% CI 81.2-NA) months, the 5-year OS rate was 58.6% (95% CI 54.4-63.2), and the 7-year OS rate was 56.7% (95% CI 52.4-61.5) (Fig 1). Among the 271 patients who started a 2L treatment, 203 (75%) received a BTKi at 2L - 101 (50%) ibrutinib, 76 (37%) acalabrutinib, and 26 (13%) zanubrutinib. The median follow-up following 2L BTKi start was 38.5 (95% CI 31.3-45.1) months. Response data were available in 171 patients, and the best ORR was 64% (36% CR, 28% PR). The median EFS was 10.7 (95% CI 7.7-14.0) months, and the median OS was 24.8 (95% CI 17.3-33.1) months with 2L BTKi therapy (Fig 2). By ITT analysis, the median EFS2 following 1L BR and 2L BTKi was 72.1 (95% CI 56.7-97.8) months (Fig 1). A subset analysis of patients aged ≥65 years (n=471; 198 [42%] received rituximab maintenance) showed similar results. The median EFS with 1L BR was 32.7 (95% CI 29.1-36.3) months. The median OS was 81.5 (95% CI 65.0-NA) months, and the 7-year OS rate was 53.3% (95% CI 48.3-58.7). 208 patients received a 2L therapy, 163 (79%) with a BTKi. The median EFS was 11.5 (95% CI 7.6-15.8) months, and the median OS was 21.0 (95% CI 14.0-29.6) months with 2L BTKi therapy. By ITT analysis, the median EFS2 following 1L BR and 2L BTKi was 58.0 (95% CI 50.2-77.0) months. Conclusion: In this multicenter retrospective study, initiation of 1L BR (with or without rituximab maintenance) resulted in a 7-year OS of 57%. Median EFS2 for sequential 1L BR and 2L BTKi was 72.1 months. In context, the SHINE study reported a median PFS of 80.6 months in the BR (with rituximab maintenance) plus ibrutinib arm and a 7-year OS of 57% in the ibrutinib arm and 55% in the placebo arm, where 39% of patients received a BTKi in 2L. Within the constraints of observational data, our results provide support for sequential use of BR in 1L and BTKi in 2L for patients with MCL.

Abstract Background: Ventilator-associated pneumonia (VAP) is one of the leading causes of mortality in patients with critical care illness. Since obesity is highly prevalent, we wanted to study its impact on the outcomes of patients who develop VAP. Methods: Using the National Inpatient Sample (NIS) Database from 2017 to 2020, we conducted a retrospective study of adult patients with a principal diagnosis of VAP with a secondary diagnosis with or without obesity according to ICD-10 codes. Several demographics, including age, race, and gender, were analyzed. The primary endpoint was mortality, while the secondary endpoints included tracheostomy, length of stay in days, and patient charge in dollars. Multivariate logistic regression model analysis was used to adjust for confounders, with a p-value less than 0.05 considered statistically significant. Results: The study included 3832 patients with VAP, 395 of whom had obesity. The mean age in both groups was around 58 years, and 68% of the group with obesity were females compared to 40% in the control group. Statistically significant comorbidities in the obesity group included a Charlson Comorbidity Index score of three and above, Diabetes Mellitus, Hypertension, and chronic kidney disease. Rates and odds of mortality were not significantly higher in the collective obesity group 39 (10%) vs. 336 (8.5%), p-value 0.62, aOR 1.41, p-value 0.39). The rates and odds of tracheostomy were higher in the obesity group but not statistically significant. Obese patients were also found to have a longer and more expensive hospitalization. Conclusions: Obesity was not found to be an independent risk factor for worse outcomes in patients who develop VAP in the intensive care unit.

Abstract Background Early diagnosis, prognostication, and treatment initiation are the cornerstones of sepsis management. There remains an immense interest in exploring the diagnostic and prognostic roles of neutrophil-lymphocyte ratio (NLR) in the sepsis population. Methods We performed a retrospective multi-center observational study including patients admitted to different Mayo Clinic sites with a diagnosis of sepsis between October 2018 and August 2022. Patients were excluded if they were aged < 18 years, lacked research authorization, or had missing Neutrophil or Lymphocyte count at admission. Data were collected from an existing sepsis database and Mayo Data Explorer (MDE). Categorical variables were summarized as percentages and continuous variables were summarized as medians. Chi-square test for significance, independent sample t-test, and multivariate Cox Proportional Hazard models were performed on IBM SPSS Statistics v28.0. Results Our study cohort consisted of 13968 patients, of which the majority were males (55.9%), Caucasian (91.6%), and non-Hispanic or Latino (94.3%). The median age of the cohort was 71 (60, 80) years, and the median BMI was 27.7 (23.4, 33.3) kg/m2. Among all sepsis patients, 6.0% had a positive blood culture and the most common organisms were E. coli (26.5%), Klebsiella sp. (15.6%), Streptococcus sp. (12.8%) and Staphylococcus aureus (9.9%). 13131 patients (94.1%) survived the hospital stay and 837 (5.9%) did not. There was no difference in mortality based on blood culture positivity status (6.0% vs 6.6%, p=0.41). However, the median NLR was higher among patients with a positive blood culture (16.4 vs. 12.1, p< 0.001) and among non-survivors (14.3 vs 12.2, p< 0.001). NLR did not significantly vary based on the type of organism growing in the blood culture. A multivariate model revealed NLR as an independent predictor of mortality (HR 1.003, 95% CI: 1.000-1.006, p=0.029) after adjusting for comorbidities, baseline clinical and laboratory variables. (Tables 1 & 2) Conclusion Our retrospective multicentric study showed that the Neutrophil-Lymphocyte ratio at admission was higher among bacteremic sepsis patients and non-survivors. Further prospective studies are needed to explore its diagnostic and prognostic utility. Disclosures All Authors: No reported disclosures

Abstract Background Vancomycin resistant enterococcus (VRE) infective endocarditis (IE) is associated with poor outcomes. There are limited data to guide the antimicrobial choice and duration of therapy. Several in vitro and limited clinical studies demonstrate the synergistic effect of β-lactams with other agents, particularly daptomycin, in this setting. We sought to compare clinical outcomes in patients with VRE IE treated with adjunctive β-lactam therapy. Methods This was an IRB-approved, retrospective, single-center cohort study. The study included patients ≥18 years of age diagnosed with VRE IE via modified Duke criteria from 2011-2021. Data were collected by electronic medical record review. Descriptive statistics were obtained. The primary outcome was 90-day treatment failure compared between those receiving and not receiving adjunctive β-lactams. Treatment failure was defined as recurrence of bloodstream infection (BSI) or death within 90 days of diagnosis. Failure-free survival was analyzed by Kaplan-Meier curve with log-rank test. Results A total of 32 cases were identified. 12 received adjunctive β-lactams. Mean age was 67 years, and 71% were male. 13 (41%) had a prosthetic valve and 6 (19%) had a CIED (Table 1). A majority (78%) had E. faecium IE. Mean duration of bacteremia was 9 days (Table 2). About one-third had treatment failure with 7 deaths and 4 BSI recurrences. Adjunctive β-lactams included ampicillin (3), cefepime (1), ceftaroline (6) and ceftriaxone (2). There was no statistical difference in failure-free survival in patients treated with adjunctive β-lactam therapy (Figure 1). The results were similar when restricted only to those who received daptomycin with or without adjunctive β-lactam therapy.Table 1.Patient CharacteristicsTable 2.Disease characteristics Figure 1. Kaplan-Meier curve comparing failure-free survival between patients who were primary treated with adjunctive β-lactams versus non-adjunctive therapy. The p-value is calculated via the log-rank test. Conclusion VRE IE is associated with poor prognosis, including high rates of mortality and relapses. In our experience, adjunctive B-lactam use did not result in improved outcome. Limitations include small sample size, and heterogenous antibiotic use. More prospective randomized data are needed. Disclosures All Authors: No reported disclosures

Background Much research has been done into finding specific molecular pathways involved in the metastatic and invasive potential of breast cancer cells. One of the major discoveries of this past decade has been microRNAs; which are single‐stranded non‐coding RNA molecules. Interestingly a single microRNA can influence the expression of hundreds of proteins, thereby highlighting their significance as modulators of gene expression. Apart from their role in regulating various intracellular processes, abnormal changes in microRNA expression have been linked to various human cancers. Until recently the nature and impact of most of these changes in breast cancer were unclear. However, some of the microRNA dysregulations have now been correlated with clinic‐pathological features such as Her2, ER and PR status, tumor stage, angiogenesis, metastasis and invasion. Of note to our study, compiling data has shown that microRNAs regulate cancer metastasis by influencing multiple steps in the metastatic cascade. This review will focus on key microRNAs associated with breast cancer invasion and metastasis; recently referred to as ‘metastamirs’. Methods We used the program EndNote X7 to research PubMed published articles regarding microRNAs in Breast Cancer. The terms “miRNAs” and “Breast cancer” were used as search words and the publication years were specified to range from 2005 to 2016. Our preliminary search revealed no articles pertaining to our topic before the year 2005, hence our paper covers nearly the entire literature on the topic. The retrieved records were then reviewed, and all those pertaining to metastasis and invasion in breast cancer were included in our study. Results Our EndNote search retrieved a total of 2820 abstracts, of which more than 280 were pertaining to metastasis and invasion in breast cancer. These abstracts were then read thoroughly, and roughly 130 metastasis/invasion specific microRNAs or clusters of microRNAs were identified. Interestingly, some microRNAs were shown to promote metastasis and invasion when up‐regulated, while others did so when they were down‐regulated. Nonetheless, all the identified microRNAs brought about their effects through various molecular pathways, some at more critical stages in the metastasis cascade than others. presents some of the commonly identified pro‐metastatic & anti‐metastatic microRNAs. Conclusion The last decade has been revelationary with regards to non‐coding RNAs, microRNAs, and their association with various cancers. Our comprehensive review highlights the various microRNAs involved in key pathways within the breast cancer metastatic pathway. Co‐relating these microRNAs to clinically targetable pathophysiological points could revolutionize our fight against breast cancer; by not only serving as diagnostic & prognostic markers, but also being potential therapeutic targets. Carefully designed translational studies seem to be the call of the hour, to finally give us the much‐needed edge over breast cancer. Support or Funding Information The authors report no source of funding or support.

Abstract Importance: Severe gender gap in academic research output is pervasive across all medical specialties, including hematology and oncology. Objective: This bibliometric study aimed to investigate the representation of females in premier first and last authorship positions of hematology- and oncology-related randomized controlled trials (RCTs) published between 2000–2022. Additionally, we investigated the trend of females in first authorship positions with a male or female senior author. Design: Bibliometric analysis of clinically oriented hematology and oncology RCTs published between 2000 and 2022 across all PubMed-indexed journals. Participants: First and last authors of 5,891 hematology- and oncology-related RCTs. Main Outcomes: Change in the proportion of female first and senior authors and the proportion of RCTs with the same and cross-gender dyads of first and senior authors. Results: 5,891 RCTs were available with identifiable gender of first and senior authors. A total of 49 countries and 62 journals were represented in our study sample. The proportion of females in our study population was 22.9% (n = 1,349) in the first authorship and 17.5% (n = 1,032) in the senior authorship positions and were predominantly affiliated with institutions in high-income countries (94.1%, n = 1,270 and 95.3%, n = 984). We also noted a significant upward trend in the percentage of female authors in the first authorship position (16.3% in 2000 to 32.4% in 2022, p = 0.001) between 2000 and 2022; the trend was stronger with male than female senior authors. However, the odds of the females in the first authorship position with a female senior author were significantly higher only when both authors came from high-income countries [OR = 1.702 (95%CI 1.461–1.984; p < 0.0001]. The proportion of female senior authors remained stable during the study period. Conclusions and Relevance: Despite early trends in closing the gender gap in the authorship of hematology- and oncology-related RCTs, females remain severely underrepresented in premier authorship positions. The increasing proportion of female authors in the first authorship position with a male senior author indicated that a more inclusive effort to train, mentor, and encourage young female physician-scientists with the involvement of senior male and female researchers will likely accelerate the overall increase in female authorship.