Citations

e17511 Background: Cervical cancer is a significant public health concern in Sub-Saharan Africa (SSA), where it remains the leading cause of cancer-related mortality among women. SSA has the highest global incidence and mortality rates, with an estimated 110,300 new cases and 76,700 deaths in 2020. Despite this burden, data on patient characteristics and treatment outcomes remain limited. This study aims to address these gaps by analyzing current treatment patterns and outcomes for cervical cancer in SSA. Methods: A cancer dataset was established at 4 major teaching hospitals in Ghana, Kenya, Ethiopia, and Rwanda to capture data on patient demographics, disease characteristics, and treatment modalities. The dataset encompasses all cancer patients seen between 2016-2023, with over 9,000 cases collected to date. The primary objective of the dataset was to assess impact of COVID-19 pandemic on cancer care in SSA. This study conducted a retrospective analysis of cervical cancer cases within the dataset utilizing descriptive metrics. Results: A total of 2,326 patients were analyzed, with a median age at diagnosis of 56 y (48–65) and 53% having health insurance. The majority had squamous cell carcinoma (87%) and presented with locally advanced disease (FIGO stages IIB–IVA, 88%). Treatment primarily consisted of concurrent chemoradiotherapy (CRT, 34%) or radiotherapy (RT) alone (30%), while smaller proportions received chemotherapy (CT) alone (1.2%) or surgery (1.3%). A total of 33% of patients received no cancer therapy. Among 1,524 patients treated with RT, 1,180 received external beam RT with a median dose of 46 Gy in 23 fractions, using 2D planning in 60% and 3D planning in 40% of cases. Additionally, 25 patients underwent brachytherapy, with 58% receiving low-dose-rate and 42% high-dose-rate treatments. Of 1,011 patients treated with CT, 85% (n=844) completed the intended course, with a median of 4 cycles, primarily delivered concurrently with RT (95%). Only a few received CT as adjuvant (4.8%), neoadjuvant (1.6%), or palliative (3.4%) therapy. Platinum-based regimens were most common, with 43% receiving platinum monotherapy and 5% receiving platinum-taxane combinations. By the end of treatment, 27% (n=633) achieved disease-free status. After a median follow-up of 47 months (range,37–55), 42% were alive, 7% had died, and 53% were lost to follow-up with unknown vital status. Conclusions: This study reveals significant challenges in management and follow-up of cervical cancer in SSA. Most patients were diagnosed at advanced stages, with 32% receiving no treatment and 53% of treated patients lost to follow-up. These findings highlight barriers to early diagnosis, treatment access, and continuity of care. Addressing these issues requires expanding early diagnostic services, increasing vaccination coverage, strengthening healthcare infrastructure, and improving patient retention.

2030 Background: Brain metastases (BM) are common and arise in 30% of lung adenocarcinoma (LUAD) patients. Patients with LUAD that develop BM have significantly poorer outcomes, with a 10-16 month median overall survival. Unfortunately, current clinical practice for BM prediction is limited and so BM are typically detected after they develop and grow to cause neurological symptoms. Once BM are detected, currently neurosurgical tumor biopsies are performed to enable BM diagnosis via neuropathological evaluation. The aims of this study were to develop DNA methylation-based models that predict LUAD BM and non-invasively detect BM in blood to enable early diagnosis and treatment. Methods: DNA methylomes were acquired from 402 tumor tissue and plasma samples in a cohort of 346 LUAD and BM patients. Machine learning models were built using DNA methylation signatures that stratify BM risk in tissue and detect BM in plasma. Models were evaluated in independent validation datasets. A predictive nomogram was developed using the BM prediction model together with clinical factors to provide composite patient-specific scores reflecting BM risk. Results: The methylation-based BM predictor accurately stratified BM risk in a univariable Cox model using validation set data (HR = 5.65, 95%CI 1.85–17.2, p = 0.0023). Model utility was independent of the predictive value of clinical factors in a multivariable Cox model using validation set data (Table 1: HR = 8.92, 95%CI 1.97–40.5, p = 0.0046). The 5-year model accuracy was 0.81 and significantly higher than a similarly built cancer stage-based model (0.65), demonstrating utility over current practice. The combinatorial clinical-methylomic predictive nomogram had enhanced utility with an accuracy of 0.82 univariable Cox HR of 17.2 (95%CI 4.13–71.3, p < 0.0001), demonstrating comprehensive patient-specificity. The plasma-based model accurately classified BM from gliomas and lymphomas (AUROC=0.80), as typical clinical differential diagnoses, in validation set data. The models were validated further in additional external data. Conclusions: DNA methylation-based modeling of BM can accurately predict LUAD patients at risk for BM development and can non-invasively detect BM that develop. Future treatment approaches may tailor initial LUAD treatment and ongoing cancer surveillance to a patient’s BM risk, allowing for the potential to prevent and treat BM early. DNA methylation-based BM prediction is independent of clinical factors in a multivariable Cox proportional hazards model. Variable HR 95% CI p Methylome risk score 8.92 1.97–40.5 0.005 Age Years 0.96 0.92–1.02 0.177 Smoking Pack-years 0.99 0.95–1.03 0.496 EGFR Mutant vs wildtype 0.92 0.25–3.34 0.895 T T2 vs T1 1.58 0.41–6.04 0.505 T3−4 vs T1 1.49 0.28–7.98 0.642 N N1 vs N0 1.05 0.31–3.58 0.943 N2−3 vs N0 1.00 0.27–3.69 0.995 M M1 vs M0 145 12.2–1730 <0.001

Metabolic dysfunction–associated steatotic liver disease (MASLD), formerly referred to as nonalcoholic fatty liver disease (NAFLD), is a growing but often unrecognized medical problem for people with diabetes (particularly type 2 diabetes, especially when associated with obesity). Liver health has not been at the forefront of complications tracked for disease prevention, as traditionally done for diabetic retinopathy, nephropathy, or neuropathy. However, liver steatosis affects approximately two out of three people with type 2 diabetes and places them at an increased risk for metabolic dysfunction–associated steatohepatitis (MASH), cirrhosis, hepatocellular carcinoma (HCC), and overall liver-related mortality. MASLD is also associated with extrahepatic cancers, atherosclerotic cardiovascular disease, and progression from prediabetes to type 2 diabetes and negatively impacts health-related quality of life. However, most individuals and their health care professionals remain unaware of the severe hepatic or extrahepatic health risks associated with MASLD and the need for early identification. In recognition of this knowledge gap and the rising prevalence of MASLD, this consensus report is a call to action to screen for liver fibrosis and risk stratify people with prediabetes or type 2 diabetes, in particular if obesity is also present. This consensus report explains the rationale for the recent MASLD nomenclature change, how to best risk stratify, current treatment and long-term monitoring options, the value of an interprofessional approach to disease management, and the impact of alcohol intake on liver health. More awareness about the health risks associated with MASLD and broad adoption of screening for liver fibrosis as a new standard of care hold promise for a future without cirrhosis for people with prediabetes and type 2 diabetes.

ABSTRACT The lower infrastructure requirements of portable ultra‐low field MRI (ULF‐MRI) systems have enabled their use in diverse settings such as intensive care units and remote medical facilities. The UNITY Project is an international neuroimaging network harnessing this technology, deploying portable ULF‐MRI systems globally to expand access to MRI for studies into brain development. Given the wide range of environments where ULF‐MRI systems may operate, there are external factors that might influence image quality. This work aims to introduce the quality control (QC) framework used by the UNITY Project to investigate how robust the systems are and how QC metrics compare between sites and over time. We present a QC framework using a commercially available phantom, scanned with 64 mT portable MRI systems at 17 sites across 12 countries on four continents. Using automated, open‐source analysis tools, we quantify signal‐to‐noise, image contrast, and geometric distortions. Our results demonstrated that the image quality is robust to the varying operational environment, for example, electromagnetic noise interference and temperature. The Larmor frequency was significantly correlated to room temperature, as was image noise and contrast. Image distortions were less than 2.5 mm, with high robustness over time. Similar to studies at higher field, we found that changes in pulse sequence parameters from software updates had an impact on QC metrics. This study demonstrates that portable ULF‐MRI systems can be deployed in a variety of environments for multi‐center neuroimaging studies and produce robust results.

Transbronchial cryobiopsies (CB) are increasingly replacing surgical biopsies (video-assisted thoracoscopic/VATS biopsies) for diagnosing diffuse parenchymal lung disease (interstitial lung disease, ILD), but there is very little guidance for pathologists on CB interpretation. Here we propose a fairly simple approach. First, if the diagnosis can be made on a traditional forceps biopsy, it can be made on a cryobiopsy. Many diseases with specific features will fall into this category (eg, sarcoidosis or Langerhans cell histiocytosis). More problematic are patterns such as usual interstitial pneumonia (UIP) or nonspecific interstitial pneumonia (NSIP), in which low-power architecture is the key to diagnosis. In this circumstance, an adequate sample is crucial to look for features such as fibroblast foci, because a combination of fibroblast foci plus any patchy old fibrosis, fibrotic architectural remodeling, or honeycombing, allows a diagnosis of a UIP pattern. However, in most instances, CB will not separate the UIP patterns seen in idiopathic pulmonary fibrosis, fibrotic hypersensitivity pneumonitis, or connective tissue disease-interstitial lung disease (CTD-ILD), although giant cells/granulomas (uncommon findings) in this setting favor fibrotic hypersensitivity pneumonitis. Fibroblast foci can be difficult to differentiate from organizing pneumonia (OP), but granulation tissue plugs clearly in airspaces favor OP. Absent fibroblast foci, patchy old fibrosis, architectural distortion, and honeycombing by themselves do not allow a specific diagnosis. NSIP in CB microscopically looks like NSIP in VATS biopsies, and the presence of an NSIP or an NSIP+OP pattern is typical of CTD-ILD. All the above diagnoses require correlation with clinical and radiologic findings.

Abstract Rationale: Volatile organic compounds (VOCs) in exhaled breath change significantly after ultramarathons and could help monitor athletes’ physiological status to optimize training. While VOCs can reflect metabolic changes, the connection between VOCs and clinical blood and respiratory data remains unknown. In this study, we investigated how breath VOCs are linked to clinical variables that reflect the cardiovascular and respiratory system. Methods: Correlation analysis was performed between respiratory data collected in pre- and post-race samples from 24 runners who participated in the 2019 Ultra-Trail du Mont Blanc (UTMB®) ultra-marathon. Correlation analysis was then performed between these clinical data and previously published breath VOC data collected from the same individuals. Results: Clinical data indicated a slight decrease in runner's lung function post-race. Interestingly, in post-race samples, respiratory parameters vital capacity (VC) and forced expiratory volume in one second (FEV1) formed a moderate positive correlation with 2,3-butanediol (r = 0.53, r = 0.63, respectively), a compound produced by bacterial metabolism. We hypothesize that production of 2,3-butanediol results from the effect of exhaustive exercise on the gut microbiome, which may provide protection to ameliorate lung injury. Additionally, a strengthened correlation from moderate (r = 0.5 – 0.7) to strong (r &gt; 0.7) between VC and FEV1 (r = 0.67 to r = 0.84), forced vital capacity (FVC) and maximal expiratory pressure (MEP) (r = 0.57 to r = 0.75), was observed from pre-race to post-race samples. Finally, FEV1 and MEP shifted from no correlation (r &lt; 0.5) in pre-race to a strong correlation (r = 0.73) in post-race. Conclusion: The strengthened correlation between respiratory data in post-race samples suggests that the gut microbiome, under the effect of exercise, may have an indirect impact on both lung function and respiratory muscle function changes. Our findings support the notion that there is an intricate relationship between exhaustive exercise, altered gut microbiome activity, and lung function, and together they can influence athlete performance.

Abstract Introduction Rheumatoid arthritis (RA) is a systemic autoimmune rheumatic disease (SARD) primarily associated with articular involvement, but is often associated with lung involvement, sometimes preceding articular symptoms. Common pulmonary manifestations include interstitial lung disease (ILD), airway, and serosal involvement. RA-related pleural disease can mimic empyema due to the pleural fluid's green, pus-like appearance, exudative nature, low pH, markedly low glucose, and elevated lactate dehydrogenase (LDH) levels. Empyema sometimes yields negative cultures which can accentuate the diagnostic challenge in such cases. This report presents a patient with RA-related pleural lung disease who was referred to our hospital with trapped lung presumed to be secondary to empyema in the setting of pleural-based pulmonary abscess. Case Report A 66-year-old female with a 22-year history of RA presented with recurrent right-sided pleural effusions and progressive dyspnea over three years. Her initial presentation in 2022 involved a large right-sided pleural effusion, suspected to result from a ruptured pleural-based pulmonary abscess that led to empyema and subsequently a trapped lung. Pleural fluid analysis showed elevated LDH (1364 U/L), low glucose (45 mg/dL), high cholesterol (121 mg/dL), and low triglycerides (79 mg/dL). Due to refractory exudative effusion and a comprehensive negative infectious evaluation (bacterial, mycobacterial, and fungal cultures), RA-related pleural disease was suspected. The patient underwent video-assisted thoracoscopic surgery (VATS), which revealed pleural-based rheumatoid nodules and pleural thickening. (figure1) Lung and pleural biopsies confirmed RA-associated fibrinous pleuritis, RA-associated follicular bronchiolitis, and usual interstitial pneumonitis. Given the complexity of the infection, a thoracotomy with decortication and pleurectomy was planned and conducted in stages. Immunosuppressive regimen was switched from leflunomide to rituximab. Discussion This case underscores the diagnostic complexity in distinguishing RA-associated pleural effusion from empyema. Features such as pleural nodularity resembling a pulmonary abscess, unilateral exudative effusion, grossly purulent pleural fluid, low pH and glucose, and elevated LDH levels led to an initial misdiagnosis of empyema. Characteristic pleural fluid, along with persistent negative cultures and absence of sepsis pointed towards RA-related pleural disease. VATS and biopsy were instrumental in establishing the final diagnosis through characteristic histopathological findings of RA-associated pleural, parenchymal and airway involvement. Conclusion For RA patients with pleural effusion suggestive of empyema, especially in the context of negative cultures and no signs of sepsis, RA-related pleural disease should be a consideration. Early recognition and timely immunosuppressive therapy escalation can prevent complications such as trapped lungs and reduce the necessity for extensive surgical interventions. Figure1:

Abstract Introduction: Idiopathic CD4 lymphocytopenia is a disorder with CD4 counts below 200 cells/mm3 or less than 20% of total lymphocytes without an acquired or genetic cause. Case Summary: A 41-year-old female with history of Celiac disease complicated by hyposplenism developed fevers, weight loss, sicca symptoms, widespread erythematous rash, sinusitis, multifocal pneumonia refractory to antibiotics and pulmonary embolism. Workup demonstrated isolated weakly positive PR3 antibody of 1.2 (reference range &lt; 1.0), CD4 count of 78 with negative ANA, ENA, HIV, CMV, EBV, HTLV, fungal, mycobacterial testing and mildly low IgM. PET-CT noted FDG avidity in the paranasal sinuses, lung opacities and salivary glands. Sinus biopsy showed chronic inflammation and fibrosis. Sputum cultures were positive for MSSA and Pseudomonas. Lung biopsy noted fibrinous organizing pneumonia. Skin biopsy demonstrated pauci-inflammatory vacuolar interface dermatitis with discontinuous weak granular deposition of C3 on basement membrane. A small-intestinal biopsy noted villous blunting and polymorphous T cell infiltration of the lamina propria. Bone marrow biopsy redemonstrated polytypic T cells with inverted CD4:CD8 ratio, but neither harbored an abnormal T cell population. Treatment for presumptive GPA was undertaken with corticosteroids, Rituximab, and Avacopan with transient improvement. CRP was elevated at 65.1 mg/dL (reference range &lt; 5.0mg/dL). However, CD4 count had increased to 260 (reference range 365-1437) with 20% CD4 cells, low B cells, normal CD8 and NK cells, and IgG4 levels elevated at 180 mg/dL (reference range 2.4-121.0). LDH was elevated at 455 U/L (reference range 122-222) but flow cytometry, SPEP, and FLC ratio were unremarkable. Rhinoscopy demonstrated purulence, nasal septal perforation, and crusting of the larynx and subglottis. Salivary gland biopsy noted chronic sialadenitis without malignancy. Repeat CD4 count was 93. Given recurrent, refractory pulmonary infections, IVIG was considered, but prior to administration the patient developed worsening hypoxemia and pressor requirements and was transitioned to comfort cares. Discussion: It is crucial to rule out conditions causing lymphopenia, such as severe sarcoidosis, Sjogren's, IgG4-related disease, cutaneous T cell lymphoma, and splenectomy. While common complications include opportunistic infections, invasive cancers and autoimmunity, their absence may be explained by normal CD3 and CD8 counts. Despite complications, mortality is generally not increased, although baseline CD4 counts of less than 150 cells/mm3 may predict death. Decreases in CD4 counts in the setting of rising immunoglobulin levels may represent antibody production against lymphocytes. While evidence on the use of IVIG is limited, it may be beneficial when hypogammaglobulinemia or life-threatening infections are present.