Citations

Abstract Background: Pulmonary function tests, forced expiratory volume in 1 s (FEV₁) and diffusing capacity for carbon monoxide (DLCO), are integral to pre-transplant evaluation of allogeneic hematopoietic cell transplantation (HCT) candidates because they estimate the risk of early post-HCT death and respiratory failure. Interpretation has historically relied on race-specific Global Lung Function Initiative equations from 2012 (GLI-2012). In 2021 the Initiative released race-neutral equations (GLI-Global). The influence of adopting GLI-Global on risk stratification, outcome prediction, and transplant eligibility is unknown. Methods: We retrospectively analyzed 8808 adults who underwent first allogeneic HCT at four United States centers between 1999 and 2021. FEV₁ values were converted to z-scores with both GLI-2012 and GLI-Global, whereas DLCO z-scores were calculated with GLI-2017 which is a race neutral equation. Pulmonary impairment was graded with the Lung Function Score (LFS); each component [FEV₁ and DLCO] receives 1 to 6 points based on percent predicted (> 80 % = 1, 70-79 % = 2, 60-69 % = 3, 50-59 % = 4, 40-49 % = 5, < 40 % = 6) and the sum of 2 to 12 maps to grades I (2), II (3-5), III (6-9), and IV (10-12). Primary endpoints were non-relapse mortality (NRM) at 120 days and 2 years, intensive care unit admission, and invasive mechanical ventilation. Prediction was assessed with Cox proportional hazards models and Harrell c-statistics. Results: Switching to GLI-Global reclassified 4.2 % of patients (368 of 8808) across LFS strata. Reclassification was racially asymmetric: 12.2 % of Black patients moved to higher-risk grades whereas 3.9 % of White patients moved to lower-risk grades. C-statistics for FEV₁ z-scores were nearly identical with GLI-Global versus GLI-2012: 2-year NRM 0.544 vs 0.542, 120-day NRM 0.566 vs 0.568, intensive care admission 0.545 vs 0.538, and mechanical ventilation 0.605 vs 0.605; confidence intervals overlapped for every comparison. Continuous z-score models consistently outperformed categorical cut-offs for each outcome: 2-year NRM 0.544 vs 0.518, 120-day NRM 0.566 vs 0.523, intensive care admission 0.545 vs 0.515, and mechanical ventilation 0.605 vs 0.529; confidence intervals did not overlap for every comparison. The composite LFS outperformed models that used FEV₁ or DLCO alone. Extrapolating cohort reclassification rates to 38,606 adults aged 40 to 84 who received allogeneic HCTs reported to the Center for International Blood and Marrow Transplant Research between 2009 and 2018 predicts that 1521 patients, including 509 Black adults, would shift LFS grades and could face altered transplant eligibility. Conclusions: Race-neutral GLI-Global equations modestly change pulmonary risk categorization, disproportionately raising scores for Black HCT candidates, yet maintain predictive accuracy for early mortality, respiratory failure, and intensive care use. Continuous dual-variable models and the composite LFS provide superior prediction. Although race-neutral interpretation aligns with current society guidelines, its tendency to classify Black individuals as higher risk highlights the need for refined continuous models that limit unnecessary reclassification and increased disparities in transplant eligibility.

Abstract Background: Atypical Hemolytic Uremic Syndrome (aHUS) remains a diagnostic challenge as it shares overlapping features of Thrombotic Thrombocytopenic Purpura (TTP) and Shiga-toxin mediated HUS (STM-HUS). It is caused by complement activation in the alternative pathway and is mostly related to genetic defects in complement-related factors or acquired autoantibodies. Early recognition and treatment have excellent outcomes. Case Presentation: A 74-year-old female with Hypertension presented with a 3-week history of non-bloody diarrhea and was found to have acute kidney injury (AKI) with creatinine 5.27 mg/dL (baseline 0.5), anemia (7.5 g/dL), and thrombocytopenia (123×10⁹/L) and normal liver function. CT imaging of the abdomen revealed uncomplicated sigmoid diverticulitis and mesenteric lymphadenopathy. She was treated with intravenous fluids and started on antibiotics with ceftriaxone and metronidazole for diverticulitis. Despite fluid resuscitation, renal function deteriorated, necessitating initiation of intermittent hemodialysis. Due to anemia, thrombocytopenia and AKI further workup with peripheral smear pursued showed schistocytes, helmet cells, and keratocytes. Hemolysis labs showed LDH 1433 U/L, undetectable haptoglobin, and a negative direct Coombs test. Methylmalonic acid level was normal. Homecystine level was elevated. These findings were consistent with microangiopathic hemolytic anemia. Coagulation profile was normal. Given concern for TTP, ADAMTS13 was obtained but returned at 68%, ruling out TTP. Shiga toxin PCR was negative, ruling out STM-HUS. Complement level checked showed low C3 and C4, suggesting complement activation and consumption. Total complement, Factor 8, factor B, monoclonal protein were within normal. A renal biopsy was initially postponed due to uncontrolled hypertension. Eculizumab was started. Renal biopsy later done confirmed aHUS. Following initiation of eculizumab, the patient's renal function progressively improved, and she was able to discontinue hemodialysis. Laboratory markers of hemolysis stabilized, with normalization of LDH, haptoglobin, homocystine and complement. She completed the induction phase of eculizumab and entered a long-term monitoring phase, with labs every 2 weeks for 6 months, then monthly for 36 months. No relapses were noted to date and is off dialysis. Conclusion: Differentiating aHUS from TTP and STM-HUS is critical, as management strategies differ significantly. Prompt initiation of eculizumab can reverse renal injury and prevent further organ damage.

Background: Propofol is a first-line sedative for critically ill adults receiving invasive mechanical ventilation (IMV). However, it can contribute to hemodynamic instability, especially in the setting of intubation. The magnitude, timing, risk factors, and variability of sedation-associated mean arterial pressure (MAP) changes remain poorly characterized in ICU settings. Objectives: To quantify MAP changes following propofol sedation, identify risk factors for hemodynamic instability, and characterize associated interventions. Methods: We included adults (≥18 years old) across 11 ICUs in the Mayo Clinic Enterprise who required IMV and received ≥6 consecutive hours of propofol infusion between 05/05/2018 and 07/31/2024. The primary outcome was MAP change within 2-hours following sedation. Secondary outcomes included vasopressor use and hypotension (MAP ≤60 mmHg). Mixed-effects modeling was utilized to account for individual patient differences. The main model used a “neutral” adjustment, estimating a 5 mmHg MAP increase per 0.05 mcg/kg/min of norepinephrine equivalents, reduced to 3 mmHg per 0.05 mcg/kg/min after reaching a dose of 0.20 mcg/kg/min. Those on any vasopressors prior to propofol sedation initiation were analyzed separately. Results: Across 16,418 patients, 25.2% were on vasopressors before sedation initiation. Among the remaining 12,281 patients, 40.3% required vasopressors and 7.7% experienced hypotension within 2 hours of sedation ( Image 1 ). Post-intubation sedation was associated with a MAP reduction within the first 30 minutes (-6.58 mmHg; 95% CI: -6.85 to -6.32; P<0.001; Images 2 and 3 ). There was substantial inter-patient variability in both baseline MAP (9.5% variation attributable to between-patient differences) and MAP decline after sedation (40.9% between-patient differences). Higher SOFA scores (-0.31 mmHg per point), older age (-0.04 mmHg per year), and male sex (-0.47 mmHg) were associated with lower MAP. Patients with higher illness severity experienced progressively greater MAP changes over time (-0.20 mmHg per hour per increasing SOFA point; P<0.001). Conclusions: Propofol sedation is associated with clinically significant hemodynamic effects requiring intervention in the early post-intubation period. The marked inter-patient variability in hemodynamic responses highlights the importance of personalized management approaches. Risk stratification may help identify patients who could benefit from preemptive hemodynamic optimization.

ABSTRACT Background The impact of psychosocial health and socioeconomic status (SES) on long‐term lung transplant survival remains unclear. Methods We conducted a single‐center, retrospective 2:1 matched case‐control study of adult lung transplant recipients (1999–2019). Cases survived ≥6 years post‐transplant; controls survived <6 years. Matching was based on transplant year (±5 years) and indication. Psychosocial health and SES were assessed using the Psychosocial Assessment of Candidates for Transplant (PACT) score, Mayo Clinic Housing‐Based Socioeconomic Status (HOUSES) index, and Area Deprivation Index (ADI). Secondary covariates included insurance, marital status, employment, caregiver relationship, and proximity to the transplant center. Conditional logistic regression adjusted for age and gender was used. Results Among 189 patients (63 cases, 126 controls), PACT score, HOUSES index, and ADI were not significantly associated with long‐term survival. Patients with non‐family caregivers had lower odds of survival compared to those with a spouse or partner (OR = 0.16, p = 0.022). Regional residents had lower odds of long‐term survival compared to local recipients (OR = 0.55, p = 0.001). Conclusions Pre‐transplant psychosocial and SES measures were not significantly associated with long‐term survival. Caregiver relationships and geographic proximity may have a greater impact on outcomes, highlighting the importance of support systems and access to care.

Abstract Rationale Critically ill lung cancer patients are a growing, high-risk population. However, prognostic tools to guide intensive care unit (ICU) decision-making are limited. Objectives To identify oncologic and critical illness factors associated with 90-day mortality following ICU admission in patients with lung cancer. Methods We conducted a retrospective cohort study of lung cancer patients admitted to the ICU across Mayo Clinic Health System between 2018 and 2024. The primary outcome was 90-day mortality. Two complementary Cox proportional hazards models were developed: a focused model including cancer-specific variables (stage, time since diagnosis, time since last systemic therapy, prior thoracotomy, Eastern Cooperative Oncology Group [ECOG] performance status prior to admission, body mass index, cause of critical illness, code status at admission) and a full model that added broader clinical factors (age and Sequential Organ Failure Assessment [SOFA] score). We also evaluated discharge disposition and transitions in code status. Results Among 528 patients, 90-day mortality was 58.7%. In the focused model (C-index 0.67), independent predictors of mortality included late-stage disease, cancer-specific reason for ICU admission, limitations in resuscitation orders, and ECOG &gt;1. In the full model (C-index 0.95), only age and SOFA score remained significant. Among early-stage patients, recent targeted or combination therapy was associated with higher mortality, though this association may reflect underlying disease characteristics or treatment selection rather than direct treatment effects. Patients who changed code status during admission had high mortality (83%) and a low rate of discharge home (11%). Conclusion Lung cancer patients admitted to ICU experience high short-term mortality, with outcomes shaped by both oncologic status and the severity of acute illness. A dual-model approach suggests a risk hierarchy: Cancer-specific factors inform baseline mortality risk with an ICU admission, but age and physiologic derangement are the dominant drivers of survival once critical illness develops. These findings support dynamic, multidisciplinary prognostication and underscore the need to integrate oncology and critical care expertise in ICU decision-making.

Objectives: Participant retention is essential in prospective studies to minimize bias and maintain validity. This study aimed to estimate retention rates and identify factors influencing attrition in a multicenter cohort (PROCEED) of US adults with acute/recurrent acute pancreatitis (AP/RAP) and chronic pancreatitis (CP). Methods: Participants from the PROCEED study with AP/RAP or CP eligible for follow-up within the designated visit window were included. Retention was defined as completing at least one follow-up visit during the observation period. Retention was analyzed by follow-up mode (in-person and/or medical record review) and disease type (AP/RAP and CP). Retention factors were assessed using univariate analyses (Wilcoxon rank-sum for continuous variables, χ 2 /Fisher's exact for categorical) and multivariable logistic regression. Missing data were adjusted using multiple imputations in statistical modeling. Results: Among 1279 participants (AP/RAP: n=632, median age 47, 48.9% female; CP: n=647, median age 54, 46.5% female), we observed high cumulative and annualized retention rates, with improved retention when incorporating medical record reviews. In multivariable regression analyses, older age was statistically significantly associated with in-person retention in the AP/RAP group ( P =0.0001), while a higher self-reported physical health (assessed with PROMIS Global Health Physical Health T-score) was a key predictor of retention in CP ( P =0.034). Conclusions: Integrating medical records review substantially enhanced retention rates, enabling robust analyses of pancreatitis outcomes and disease progression. Older age and better self-reported physical health were key predictors of retention, highlighting the need for targeted strategies to enhance engagement among younger participants and those with poorer health in long-term studies.

PURPOSE Recent studies reveal that 5%-18% of children with cancer harbor pathogenic variants in known cancer-predisposing genes. However, DNA damage repair (DDR) genes, which are frequently somatically altered in pediatric tumors, have not been systematically examined as a source of novel cancer-predisposing signals. METHODS To address this gap, we interrogated 189 DDR genes for presence of germline predisposing variants (PV) among 5,993 childhood cancer cases and 14,477 adult noncancer controls (discovery cohort). PV were determined using a tiered approach incorporating ClinVar annotations, InterVar classification, and in silico tools (REVEL, CADD, and MetaSVM). Using logistic and firth regression, we identified genes with PV statistically enriched in the germline of children with tumors and replicated findings among 1,497 additional childhood cancer cases across three independent cohorts. RESULTS Analysis across all cases with cancer revealed enrichment of TP53 PV. Cancer-specific analyses confirmed known associations including germline TP53 PV in adrenocortical carcinoma, high-grade glioma (HGG), and medulloblastoma (MB), PMS2 in HGG and non-Hodgkin lymphoma (NHL), MLH1 in HGG, BRCA2 in NHL, and BARD1 in neuroblastoma. In addition, four novel associations were uncovered, including BRCA1 in ependymoma, SPIDR in HGG, SMC5 in MB, and SMARCAL1 in osteosarcoma (OS). Importantly, the SMARCAL1 :OS association was significant in the discovery (6/230, 2.6%, false discovery rate [FDR] logistic = 0.0189) as well as all three replication cohorts (Childhood Cancer Survivor Study: 8/275, 2.9%; P Fisher < .0001; Cancer Predisposition Syndrome-German Childhood Cancer Registry: 4/135, 3%, P Fisher = .002; Individualized Therapy for Relapsed Malignancies in Childhood: 4/217, 1.8%, P Fisher = .012). The remaining wild-type SMARCAL1 allele was deleted in three of four OS tumors with available data. CONCLUSION Our study confirms the relevance DDR genetic variation in pediatric cancer risk and establishes SMARCAL1 as a novel OS predisposing gene, providing insights into tumor biology and creating opportunities to optimize care for patients with this challenging tumor.

Importance Inherited pathogenic variants (PVs) in known predisposition genes can greatly increase breast cancer risk, but the combined impact of PV status, family history, and other factors on breast cancer risk in the general US population has not been well described. Objective To evaluate population-based breast cancer risk estimates for those with established PVs overall and stratified by first-degree family history of breast cancer and other factors. Design, Setting, and Participants This study used pooled data from 13 US-based breast cancer case-control studies participating in the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium. Enrollment for individual studies occurred between 1976 and 2013, and results are based on data released March 2023, with analyses conducted from June 2022 to July 2025. Exposures PVs, breast cancer family history, self-reported race and ethnicity, and established risk factors. Main Outcomes and Measures Breast cancer rate ratios for PVs in 7 genes were estimated from the CARRIERS consortium. PV status and incidence and mortality statistics were combined using the Individualized Coherent Absolute Risk Estimation (iCARE) model to estimate conditional cumulative breast cancer risks and 95% CIs, stratified by family history and standardized to the US population. Models that incorporated population-based data and published estimates for established epidemiologic risk factors were also evaluated. Results A total of 67 692 women were studied, including 33 841 who were diagnosed with breast cancer. PVs in ATM , BRCA1 , BRCA2 , CHEK2 , and PALB2 were strongly associated with breast cancer risk, with BRCA1 and PALB2 PVs showing evidence of heterogeneity by family history. In models considering PVs, family history, and established risk factors, the estimated cumulative risks of breast cancer by age 50 years ranged from 2.4% (95% CI, 2.4-2.4) in women with no PVs and no family history to 35.5% (95% CI, 21.6-55.1) in PALB2 PV carriers with a family history. Among women who have not been diagnosed with breast cancer by age 50 years, the cumulative risk of breast cancer by age 80 years ranged from 11.1% (95% CI, 11.0-11.2) in noncarriers with no family history to 70.5% (95% CI, 52.8-83.5) for PALB2 carriers with a family history. PV-specific cumulative risk estimates varied across subgroups defined by race and ethnicity and potentially modifiable epidemiologic risk factors. Conclusions and Relevance In this study, population-based estimates of cumulative breast cancer risk for established PVs, as informed by the CARRIERS case-control sample, varied by family history and potentially modifiable risk factors. These estimates provide guidance for identifying individuals who will most benefit from enhanced screening and prevention strategies.

572 Background: Neoadjuvant endocrine therapy (NET) is sometimes used to shrink hormone receptor-positive (HR+) breast cancers to improve breast conservation rates and reduce axillary nodal burden. At the beginning of the COVID-19 pandemic, several organizations endorsed NET use to mitigate the harm of surgery delay when cancer operations were less available due to infection transmission concerns. However, the real-world patterns of NET during this period are understudied. This study investigated the alteration of NET utilization patterns during the COVID-19 pandemic in the United States using the National Cancer Database (NCDB). Methods: We identified patients diagnosed with stage I-III invasive HR+/human epidermal growth factor receptor 2-negative (HER2-) breast cancer between 2018-2022 in the NCDB. Estrogen receptor and/or progesterone receptor positivity was required for inclusion in the cohort. Receipt of NET was defined as initiation of endocrine therapy ≥ 14 days before the patient’s first surgical procedure. The study cohort generation and statistical analysis were conducted using Stata and R 4.4.3. A two-tailed p value < 0.05 was considered statistically significant. Results: 495,098 patients were included in the cohort, 195,371 in 2018-2019 (pre-pandemic), 91,686 in 2020 (early pandemic), 106,157 in 2021 (mid-pandemic), and 101,884 in 2022 (late pandemic). NET utilization was increased in the early pandemic compared to the pre-pandemic (seen in 5.8% vs 2.4% of the cohort, Chi-square p value < 0.001), but this use fell back to 3.4% in the mid-pandemic and 3.5% in the late-pandemic. The median (IQR) duration of NET was 15.7 (6.4-26.6) weeks in the pre-pandemic, 9.3 (5.4-18.7) weeks in the early pandemic, 13.2 (5.8-25.7) weeks in the mid-pandemic, and 12.0 (6-24.6) weeks in late pandemic (Kruskal-Wallis p value = 0.001). The transient increase in NET utilization during the early pandemic was more pronounced among patients with tumors < 5 cm and node-negative disease. Conclusions: Our study identified a significant shift in the utilization of NET for HR+/HER2- breast cancer during the COVID-19 pandemic. Pandemic-era NET policies produced a short-lived practice change that was only partially sustained once surgical access normalized. NET utilization (%) by subgroup and year for stage I-III HR+/HER2- breast cancer. Variable Category 2018-2019 2020 2021 2022 Overall NET Use 2.4 5.8 3.4 3.5 Age Group (years old) <50 2.2 4.9 3.9 4.0 >=50 2.4 6.0 3.3 3.4 Tumor Size <5 cm 2.0 5.5 2.9 3.1 >=5 cm 9.0 9.7 11.2 11.6 Histology Subtype Ductal 2.2 5.5 3.3 3.4 Lobular 3.6 7.1 4.4 4.8 Ductal/Lobular 2.6 6.2 4.3 3.6 Other 1.9 6.7 2.5 2.6 KI67 <20% 2.5 6.4 3.4 3.3 >=20% 2.3 5.5 3.5 3.7 Tumor Grade Well differentiated 1.9 5.8 2.4 2.6 Moderately differentiated 2.7 6.1 3.9 3.9 Poorly differentiated/undifferentiated 2.9 4.8 4.3 4.8 Node Positivity Positive 5.2 5.6 9.3 9.5 Negative 2.0 5.8 2.6 2.7