Clinical Patient Populations Research Articles

Advanced Practice Registered Nurses Student Cross-Specialty Procedural Training: Effective Collaboration and Student Experience.

Intraprofessional simulation and training in acute care nursing specialties can generate synergies that will promote safe, quality patient care. Implementation of multiple intraprofessional simulations across the life span allowed for sharing of faculty and simulation resources. Simulations encompassed both adult and pediatric patients and consisted of airway skills, point-of-care ultrasound, and a multi-skills day encompassing vascular access experiences, chest tube placement, and lumbar puncture. During 5 years, 235 graduate students across three advanced practice nursing specialties participated in the intraprofessional simulation. Learner feedback showed improved confidence, benefit to future practice, and improved clinical judgment via these intraprofessional simulations. Future development of standardized and validated assessments to evaluate each skill will provide quantitative metrics for each clinical skill set and patient population. Further, additional initiatives will include both continuing and expanding intraprofessional simulation offerings, as well as developing interprofessional simulations with physician assistant and perfusionist colleagues. [J Nurs Educ. 2024;63(X):XXX-XXX.].

Asia-Pacific Real-World Evolocumab Use, LDL-C Reduction, Physician Goals, and Patient Perceptions: HALES Observational Study.

Real-world data are needed to understand the effectiveness of new therapeutic options for low-density lipoprotein cholesterol (LDL-C) reduction in Asia-Pacific clinical practice. Description of evolocumab use among adults with establisHed Atherosclerotic cardiovascuLar diseasE or hypercholesterolemia in ASia-Pacific region (HALES) was performed to better understand characteristics of and clinical decision-making for adults with established atherosclerotic cardiovascular disease/hypercholesterolemia after local evolocumab approval. The HALES observational study, conducted at 33 sites (Hong Kong, Thailand, South Korea, Singapore, Taiwan, and Australia) comprised (1) chart review of patients who received evolocumab, a proprotein convertase subtilisin/kexin type9 inhibitor (PCSK9i), and (2) physician/patient survey and one-time data collection of patients with high cardiovascular risk initiating evolocumab or initiating/continuing non-PCSK9i lipid-lowering therapy. Patients could only enroll in (1) or (2). Chart review included 724 very high-risk patients initiating evolocumab from regulatory approval to 2021. From median baseline LDL-C of 3.2mmol/L (123.7mg/dL), patients had a median percent change in LDL-C of - 60.8% at 1-6months. Goal achievement increased from 7.9% to 69.8% for < 1.8mmol/L (< 70mg/dL) and 4.4% to 57.8% for < 1.4mmol/L (< 55mg/dL) from baseline to 12months. In the one-time data collection, more patients had ≥ 1.8mmol/L (≥ 70mg/dL) baseline LDL-C in the evolocumab vs non-PCSK9i group (95.2% and 48.5%, respectively). Surveys found that physicians applied guideline-recommended treatment targets, and patients demonstrated gaps in understanding cardiovascular risk. Real-world, Asia-Pacific data showed that LDL-C reduction after initiating evolocumab was consistent with that observed in other clinical trials and patient populations. Graphical abstract available for this article.·.

Comparative analysis of a novel spectral-domain OCT biometer versus swept-source OCT or OLCR biometer in healthy pediatric ocular biometry

With the advancements in ocular biometric technology, there have been significant improvements in accurately and efficiently measuring ocular parameters. The aim of this study is to compare the reliability of biometric parameters obtained using a new frequency-domain optical coherence tomography (SD-OCT) biometer with the measurements obtained from swept-source OCT (SS-OCT) and optical low coherence reflectometry (OLCR) biometers. This study employed an observational cross-sectional design. Measurements of axial length (AL), flat and steep corneal keratometry (K1 and K2), and central corneal thickness (CCT) obtained using the The Colombo IOL were compared with those obtained with the IOLMaster 700 and SW-9000 devices. The agreement were evaluated using intraclass correlation coefficient (ICC) and Bland–Altman analyses. The differences of the measurements of the three increments were assessed by one-way ANONA. 73 right eyes of 73 healthy pediatric subjects were analyzed. The AL difference measured by Colombo IOL compared with IOLmaster700 and SW-9000 were 0.00 ± 0.02 mm and − 0.07 ± 0.05 mm, respectively (P > 0.05, ANOVA). There was no statistically significant difference in CCT, K1, and K2 among the three instruments (all P > 0.05, ANOVA). The ICC values for AL, K1, K2, and CCT were 0.999, 0.996, 0.995, and 0.998, respectively. The Bland-Altman analysis showed an agreement of AL, K1, K2, and CCT with Colombo IOL and IOLMaster 700 spanned over 0.08 mm, 0.71D, 0.69D, and 12.17 μm, respectively. The agreement of AL, K1, K2, and CCT with Colombo IOL and SW-9000 spanned approximate 0.21 mm, 0.75D, 1.06D, and 14.37 μm, respectively. The new SD-OCT biometer and the SS-OCT biometer showed strong agreement in measuring AL and CCT in healthy pediatric subjects. This supports the reliability of the new SD-OCT biometer as an alternative for assessing these parameters. However, K1 and K2 could not be used interchangeably in clinical practice. Further research is needed to explore their applicability in different clinical settings and patient populations."light" />

Tertiary Care Center Trends in Colonic Stent Placement over the Past Decade.

Colonic endoluminal stent placement is a commonly utilized and effective endoscopic approach for the management of malignant large bowel obstruction and is an emerging approach for the management of some benign etiologies of large bowel obstruction. However, recent studies evaluating the evolution of clinical scenarios and patient populations for which stenting is performed in real-world practice are lacking. We assessed colonic stent utilization patterns in a tertiary care academic medical center over the past 10 years. We analyzed the demographics and patient and procedure characteristics of the initial (first half of study period) and latter (second half of the study period) procedures to assess trends over time using standard descriptive statistics. Our analysis was notable due to its provision of some novel insights. The frequency of colonic stent placement procedures increased significantly over time by comparison of the procedure volume for the initial 5-year interval (22 colonic stent procedures) relative to the latter 5-year interval (49 colonic stent procedures) (p = 0.03). The median age of patients who underwent colonic stent placement was significantly lower in the latter 5 years, compared with the initial 5 years of the study period (mean of 81.41 vs. 58.73 years, respectively, p < 0.001). The increased diversity of indications for colonic stent placement was also noted over time. Our data highlight the evolution of colonic stent placement in tertiary care practice over time and are notable for some interesting trends, including the increased utilization of colonic stent placement over time, the broadening of indications for colonic stent placement to include benign indications, and lower patient age at the time of colonic stent placement over time. These findings will help inform the clinical practice of colonic stent placement and provide a foundation to guide future research on the topic.

Validation of a Low-Cost Manometer to Assess of Tongue, Lip, Cheek, and Respiratory Strength: A Laboratory-Based Study.

The objective of this study was to characterize the level of agreement between three manometers: (1) Iowa Oral Performance Instrument (IOPI)-the reference standard for tongue, lip, and cheek strength assessments; (2) MicroRPM Respiratory Pressure Meter (MicroRPM)-the reference standard for respiratory strength assessments; and (3) Digital Pressure Manometer (DPM)-an alternative, low-cost pressure testing manometer. Manual pressures were simultaneously applied to the IOPI and DPM, and to the MicroRPM and DPM, within a controlled laboratory setting. Agreement in pressure readings were analyzed using descriptive statistics, Lin's concordance correlation, and Bland-Altman Plots. Agreement was interpreted as "poor" if ρc < 0.90, "moderate" if ρc = 0.90 - < 0.95, "substantial" if ρc = 0.95 - < 0.99, and "excellent" if ρc ≥ 0.99. Differences in pressure readings between the DPM and clinical reference standards were consistently present yet highly predictable. There was a median absolute difference of 2.0-3.9 kPa between the IOPI and DPM, and 4.5-9.8 cm H2O between the MicroRPM and DPM. Lin's concordance revealed "substantial" agreement between the IOPI and DPM (ρc = 0.98) and the MicroRPM and DPM (ρc = 0.99). The DPM revealed higher pressure readings when compared to the IOPI and MicroRPM. However, differences in pressure readings were relatively small, highly predictable, and yielded substantial overall agreement. These findings suggest the DPM may be a valid, lower-cost alternative for objective assessments of tongue, lip, cheek, and respiratory muscle strength. Future research should expand on the present findings in clinical patient populations. NA Laryngoscope, 2024.

Therapeutic Recommendations for the Treatment of Acne Vulgaris in the US

Introduction: Acne vulgaris and related sequelae negatively impact quality of life and are associated with increased rates of anxiety and depression. However, treatment of acne can be difficult due to its long time course, chronicity, and low patient adherence. While national acne guidelines have been recently updated, there is a need for practical, easy-to-use guidance for healthcare practitioners who treat patients with acne. Methods: A roundtable discussion with a panel of eight clinicians and dermatologists was held to provide recommendations for the diagnosis and treatment of acne, including appropriate pharmaceutical treatments based on clinical presentation and patient population, patient discussion points, and advice for clinicians regarding acne treatment. Results: The consensus was that successful acne treatment is contingent upon meeting three core goals: 1) correct diagnosis; 2) proper treatment regimen; and 3) patient adherence and education. 1: Acne should be diagnosed using both quantitative and qualitative assessments, taking into consideration the patient’s lived experience with acne. Quantitative assessments include acne duration; lesion type and location; inflammation; acne-related sequelae; and family history of scarring. Qualitative assessments determine how bothersome acne and/or sequelae are to patients and how much they impact quality of life. Differential diagnoses should be performed to rule out acneiform lesions, genetic disorders, infections, and certain types of medications. 2: For most patients, a combination topical treatment containing benzoyl peroxide and a retinoid and/or an antibiotic is recommended to address the multiple acne pathological processes, though sequelae and patient characteristics should be considered (eg, post-inflammatory hyperpigmentation in patients with skin of color). Fixed-dose combinations are preferred to ensure proper skin coverage, simplify treatment complexity, and improve adherence. 3: For optimal outcomes, patients should be educated about their treatments and consequences of non-adherence; realistic treatment goals should be established to manage patient expectations. A patient handout on skin care best practices can be used to detail their overall skin care regimen, treatments, and subsequent visits. Conclusions: This practical guidance aims to assist clinicians in the successful diagnosis and treatment of acne as well as patient management/education.

A global perspective of advanced practice nursing research: A review of systematic reviews.

The World Health Organization (WHO) called for the expansion of all nursing roles, including advanced practice nurses (APNs), nurse practitioners (NPs) and clinical nurse specialists (CNSs). A clearer understanding of the impact of these roles will inform global priorities for advanced practice nursing education, research, and policy. To identify gaps in advanced practice nursing research globally. A review of systematic reviews was conducted. We searched CINAHL, Embase, Global Health, Healthstar, PubMed, Medline, Cochrane Library, DARE, Joanna Briggs Institute EBP, and Web of Science from January 2011 onwards, with no restrictions on jurisdiction or language. Grey literature and hand searches of reference lists were undertaken. Review quality was assessed using the Critical Appraisal Skills Program (CASP). Study selection, data extraction and CASP assessments were done independently by two reviewers. We extracted study characteristics, country and outcome data. Data were summarized using narrative synthesis. We screened 5840 articles and retained 117 systematic reviews, representing 38 countries. Most CASP criteria were met. However, study selection by two reviewers was done inconsistently and language and geographical restrictions were applied. We found highly consistent evidence that APN, NP and CNS care was equal or superior to the comparator (e.g., physicians) for 29 indicator categories across a wide range of clinical settings, patient populations and acuity levels. Mixed findings were noted for quality of life, consultations, costs, emergency room visits, and health care service delivery where some studies favoured the control groups. No indicator consistently favoured the control group. There is emerging research related to Artificial Intelligence (AI). There is a large body of advanced practice nursing research globally, but several WHO regions are underrepresented. Identified research gaps include AI, interprofessional team functioning, workload, and patients and families as partners in healthcare. CRD42021278532.

Development and preliminary validation of a platform for systematic, unbiased pre-screening of non-small cell lung cancer (NSCLC) across three community oncology practices.

e23230 Background: With a rapidly increasing number of candidate drugs and clinical trials in oncology, efficiency in clinical trial execution has become a primary focus area for innovation. Currently, fewer than 5% of oncology patients enroll in clinical trials, and data suggests a lack of diversity in clinical trial patient populations compared to the broader patient demographic. To address these issues, we developed a systematic unbiased pre-screening platform for all patients. This approach holds the promise of hastening clinical trials by enhancing the identification of eligible patients and concurrently promoting diversity among those invited to participate in these trials. Methods: A framework for use of EMR ingested data and standardized abstraction of select 160 variables was developed for patients with NSCLC. An algorithm based on 7 key eligibility criteria was developed to generate an automated assessment of eligibility for a presumed trial. Abstracted data was compared to a medical oncologist’s assessment (gold standard) and the automated tool was validated by comparing eligibility assessment before each visit with that of a medical oncologist. Results: Three community oncology practices in the US participated. Source data-verified values for histology, ECOG PS, treatment history, line of therapy, and current metastatic status were available for &gt; 90% of patients in real-time. Tumor NGS testing rates for actionable alterations exceeded 75%. From Oct 23, 2023 to Jan 14, 2024, 786 NSCLC pts had MD visits. Preliminary validation of the automated tool in 79 patients revealed concordant classification in 76/79 pts (96.2%). Sensitivity, specificity, PPV and NPV were &gt; 90%. Concordance for all variables was 98% between the abstractor and medical oncologist. Conclusions: A platform for systematic, unbiased pre-screening of patients for clinical trials in NSCLC has been developed to support and facilitate oncology sites without imposing financial or resource burdens or affecting routine clinical workflow. Preliminary validation supports high performance. Updated validation data will be presented in the meeting. The high levels of data completeness and quality, including NGS testing rates that are substantially higher than what has previously been reported in community centers, underscore their suitability as clinical trial sites.

The impact of online CME on clinicians’ ability to utilize immunotherapy in unique populations of patients with NSCLC.

e21004 Background: Immunotherapy (IO) has become a standard of care in the management of advanced non-small cell lung cancer (NSCLC). However, treatment with IO-based regimens may not always be straightforward, particularly in unique clinical scenarios and patient populations. As such, members of the multidisciplinary care team, including oncologists and pulmonologists, may lack experience in utilizing IO in these instances. The objective of this study was to assess the educational impact of a series of continuing medical education (CME) activities on the knowledge, competence, and confidence of oncologists and pulmonologists with respect to recognizing strategies that facilitate the safe and effective use of IO in patients with advanced NSCLC. Methods: The educational analysis consisted of 2 online, CME-certified activities. Educational impact was assessed with repeated pre-/post-education including multiple choice knowledge/competence questions and 5-point Likert scale confidence questions. Data from all oncologists and pulmonologists who completed pre- and/or post-education assessments were aggregated across activities and stratified by learning theme. Relative changes in percentage of correct responses and clinicians who were confident (value of 4 or 5) were used to measure improvement in knowledge, competence, and confidence. A McNemar’s test assessed significant levels of changes reported with P values &lt;.05 considered statistically significant. The first activity in the analysis launched October 2023 and the last launched November 2023; data were collected until January 2024. Results: The educational series resulted in improvements in oncologists’ (N=119) and pulmonologists’ (N=49) knowledge, competence, and confidence after education. Conclusions: This analysis demonstrates that oncologists’ and pulmonologists’ knowledge, competence, and confidence regarding the safe and effective use of IO in patients with advanced NSCLC improved after education. Despite these improvements, additional educational activities are needed to address residual gaps and further increase clinicians’ ability in these dynamic and challenging clinical settings. [Table: see text]

#2546 CKD-PC risk model for CKD progression: validation and association with outcomes in the FIDELITY population

Abstract Background and Aims The Chronic Kidney Disease Prognosis Consortium (CKD-PC) recently developed risk models to predict the 3-year risk of a ≥40% decrease in estimated glomerular filtration rate (eGFR) or to predict kidney failure in the general population. Unlike the kidney failure risk equation, the CKD-PC model is valid for all levels of eGFR (above and below 60 mL/min/1.73 m2) and includes chronic kidney disease (CKD) progression risk factors besides age, sex, eGFR and albuminuria; namely: systolic blood pressure, antihypertensive medication use, history of heart failure, coronary heart disease, atrial fibrillation, smoking status, body mass index, glycated hemoglobin, insulin use, and oral diabetes medication use [1]. We evaluated whether the CKD-PC model, developed using electronic health record data, is valid for use in a contemporary clinical population using the FIDELITY pooled dataset from international randomized clinical trials of finerenone [2]. Additionally, to inform clinical practice, we evaluated the efficacy of finerenone using categories of 3-year CKD progression risk as predicted by the model. Method FIDELITY was an individual, patient-level, prespecified, pooled efficacy and safety analysis of the phase III FIDELIO-DKD and FIGARO-DKD trials of patients with CKD and type 2 diabetes (T2D), randomized 1:1 to finerenone or placebo. The 3-year CKD progression risk of these patients was predicted and the validity of the CKD-PC model was evaluated using area under the curve (AUC) score (with higher scores indicating better risk prediction), Brier score (lower scores indicating better prediction), and by calibration plots of observed versus predicted risk by deciles of 3-year CKD progression risk. To evaluate the efficacy of finerenone, 3-year risk was categorized in quartiles and the effect of finerenone versus placebo on a kidney composite outcome, defined as kidney failure, a sustained ≥40% decrease in eGFR from baseline over ≥4 weeks, or renal death, was assessed. Results The FIDELITY population comprised 13,026 individuals with a mean eGFR of 58 mL/min/1.73 m2 and urine albumin-to-creatinine ratio of 515 mg/g. The median follow-up was 3 years and there were 1849 total kidney outcome events. Of 12,968 patients analyzed, the median 3-year risk of kidney failure was 15% (Q1–Q3: 9–24%). Overall, the model demonstrated good discrimination to predict a ≥40% kidney composite outcome for patients with CKD and T2D in FIDELITY: AUC score 0.726 (95% confidence interval [CI] 0.712–0.739) and Brier score 0.100 (95% CI 0.097–0.103). The predicted 3-year risk was generally slightly higher than the observed risk (Fig. 1). Finerenone was effective in preventing CKD progression across the risk quartiles (p-interaction = 0.094) with a trend towards greater efficacy in the higher risk quartiles (3-year risk of CKD progression ≥10%) (Fig. 2). All risk groups showed benefit with finerenone compared to placebo regarding eGFR decline in the chronic phase. Conclusion The CKD-PC risk model for CKD progression performed well in a large global clinical trial population of patients with CKD and T2D. Finerenone was effective across the range of baseline risk of CKD progression.

Impaired long-range excitatory time scale predicts abnormal neural oscillations and cognitive deficits in Alzheimer’s disease

BackgroundAlzheimer’s disease (AD) is the most common form of dementia, progressively impairing cognitive abilities. While neuroimaging studies have revealed functional abnormalities in AD, how these relate to aberrant neuronal circuit mechanisms remains unclear. Using magnetoencephalography imaging we documented abnormal local neural synchrony patterns in patients with AD. To identify global abnormal biophysical mechanisms underlying the spatial and spectral electrophysiological patterns in AD, we estimated the parameters of a biophysical spectral graph model (SGM).MethodsSGM is an analytic neural mass model that describes how long-range fiber projections in the brain mediate the excitatory and inhibitory activity of local neuronal subpopulations. Unlike other coupled neuronal mass models, the SGM is linear, available in closed-form, and parameterized by a small set of biophysical interpretable global parameters. This facilitates their rapid and unambiguous inference which we performed here on a well-characterized clinical population of patients with AD (N = 88, age = 62.73 +/- 8.64 years) and a cohort of age-matched controls (N = 88, age = 65.07 +/- 9.92 years).ResultsPatients with AD showed significantly elevated long-range excitatory neuronal time scales, local excitatory neuronal time scales and local inhibitory neural synaptic strength. The long-range excitatory time scale had a larger effect size, compared to local excitatory time scale and inhibitory synaptic strength and contributed highest for the accurate classification of patients with AD from controls. Furthermore, increased long-range time scale was associated with greater deficits in global cognition.ConclusionsThese results demonstrate that long-range excitatory time scale of neuronal activity, despite being a global measure, is a key determinant in the local spectral signatures and cognition in the human brain, and how it might be a parsimonious factor underlying altered neuronal activity in AD. Our findings provide new insights into mechanistic links between abnormal local spectral signatures and global connectivity measures in AD.

Abnormal gamma phase-amplitude coupling in the parahippocampal cortex is associated with network hyperexcitability in Alzheimer's disease.

While animal models of Alzheimer's disease (AD) have shown altered gamma oscillations (∼40 Hz) in local neural circuits, the low signal-to-noise ratio of gamma in the resting human brain precludes its quantification via conventional spectral estimates. Phase-amplitude coupling (PAC) indicating the dynamic integration between the gamma amplitude and the phase of low-frequency (4-12 Hz) oscillations is a useful alternative to capture local gamma activity. In addition, PAC is also an index of neuronal excitability as the phase of low-frequency oscillations that modulate gamma amplitude, effectively regulates the excitability of local neuronal firing. In this study, we sought to examine the local neuronal activity and excitability using gamma PAC, within brain regions vulnerable to early AD pathophysiology-entorhinal cortex and parahippocampus, in a clinical population of patients with AD and age-matched controls. Our clinical cohorts consisted of a well-characterized cohort of AD patients (n = 50; age, 60 ± 8 years) with positive AD biomarkers, and age-matched, cognitively unimpaired controls (n = 35; age, 63 ± 5.8 years). We identified the presence or the absence of epileptiform activity in AD patients (AD patients with epileptiform activity, AD-EPI+, n = 20; AD patients without epileptiform activity, AD-EPI-, n = 30) using long-term electroencephalography (LTM-EEG) and 1-hour long magnetoencephalography (MEG) with simultaneous EEG. Using the source reconstructed MEG data, we computed gamma PAC as the coupling between amplitude of the gamma frequency (30-40 Hz) with phase of the theta (4-8 Hz) and alpha (8-12 Hz) frequency oscillations, within entorhinal and parahippocampal cortices. We found that patients with AD have reduced gamma PAC in the left parahippocampal cortex, compared to age-matched controls. Furthermore, AD-EPI+ patients showed greater reductions in gamma PAC than AD-EPI- in bilateral parahippocampal cortices. In contrast, entorhinal cortices did not show gamma PAC abnormalities in patients with AD. Our findings demonstrate the spatial patterns of altered gamma oscillations indicating possible region-specific manifestations of network hyperexcitability within medial temporal lobe regions vulnerable to AD pathophysiology. Greater deficits in AD-EPI+ suggests that reduced gamma PAC is a sensitive index of network hyperexcitability in AD patients. Collectively, the current results emphasize the importance of investigating the role of neural circuit hyperexcitability in early AD pathophysiology and explore its potential as a modifiable contributor to AD pathobiology.

Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting.

Estimated age from brain MRI data has emerged as a promising biomarker of neurological health. However, the absence of large, diverse, and clinically representative training datasets, along with the complexity of managing heterogeneous MRI data, presents significant barriers to the development of accurate and generalisable models appropriate for clinical use. Here, we present a deep learning framework trained on routine clinical data (N up to 18,890, age range 18-96 years). We trained five separate models for accurate brain age prediction (all with mean absolute error ≤4.0 years, R2 ≥ .86) across five different MRI sequences (T2 -weighted, T2 -FLAIR, T1 -weighted, diffusion-weighted, and gradient-recalled echo T2 *-weighted). Our trained models offer dual functionality. First, they have the potential to be directly employed on clinical data. Second, they can be used as foundation models for further refinement to accommodate a range of other MRI sequences (and therefore a range of clinical scenarios which employ such sequences). This adaptation process, enabled by transfer learning, proved effective in our study across a range of MRI sequences and scan orientations, including those which differed considerably from the original training datasets. Crucially, our findings suggest that this approach remains viable even with limited data availability (as low as N = 25 for fine-tuning), thus broadening the application of brain age estimation to more diverse clinical contexts and patient populations. By making these models publicly available, we aim to provide the scientific community with a versatile toolkit, promoting further research in brain age prediction and related areas.

Pearls and Pitfalls of Imaging Small Bowel Obstruction.

Small bowel obstruction (SBO) is a common condition encountered by radiologists in the evaluation of patients with abdominal pain, and is an important diagnosis to be comfortable with given substantial associated morbidity and mortality. In this review, we summarize an imaging approach to evaluating patients with suspected SBO, discuss the role of certain imaging modalities such as radiography and small bowel follow through, CT, and MRI, as well as review some common and also less common causes of SBO such as internal hernia. We will also discuss tailoring the imaging approach to address specific clinical questions and special patient populations such as imaging the pregnant patient with suspected SBO, and the inflammatory bowel disease patient.

Prognostication Tools in Older Hospitalized Adults for Identification of Patients with Potential Palliative Care Needs: A Review of Three Instruments

This paper explores the critical role of prognostication tools in identifying high-risk hospitalized older adults who may benefit from palliative care. With an ageing population and increasing prevalence of chronic illnesses, the demand for patient-centered healthcare is paramount. The study evaluates three key tools—the Palliative Performance Scale, CARING criteria, and Palliative Care Rapid Emergency Screening tool. Each tool is analyzed for its psychometric properties, advantages, and limitations. Despite their strengths and limitations, these tools emerge as crucial screening tools for identifying older adults at heightened mortality risk within one year of hospital admission. Our paper calls for ongoing research to adapt and validate existing tools, ensuring their applicability across diverse clinical settings and patient populations.

A Review of The Evidence for the Utility of Physical Activity Monitor Use in Patients with Idiopathic Inflammatory Myopathies.

Few proven therapies exist for patients with idiopathic inflammatory myopathies (IIM), partly due to the lack of reliable and valid outcome measures for assessing treatment responses. The current core set measures developed by the International Myositis Assessment and Clinical Studies group were developed to standardize assessments of disease activity and treatment effect. None of the current measures address functional improvement in muscle weakness. Therefore, supplemental measures for more objectively assessing physical activity levels and fatiguability in free-living settings are needed to assess disease activity more comprehensively. Validated physical activity monitors (PAMs) have the potential to serve as an objective functional outcome measure in clinical trials and observational studies. This review examines the current evidence for using body-worn PAMs in clinical settings with IIM patients. A practical overview of methods for PAM use in clinical patient populations (including measurement details and data processing) that focuses on IIM patients is also presented.

Abstract B073: Understanding treatment response in pancreatic cancer: NetraAI provides genetic differentiation in FOLFIRINOX and gemcitabine response

Abstract Pancreatic cancer is known as a “silent killer” due to vague symptoms, late diagnosis, rapid progression, and poor response to therapy. Due to the highly malignant nature of this disease, prolonging progression-free survival (PFS) and overall survival (OS) for patients is critical. Standard of care involves combination chemotherapy using FOLFIRINOX (FFX) or Gemcitabine with nab-paclitaxel (GnP). The COMPASS trial performed whole genome sequencing (WGS) and RNA sequencing (RNASeq) on pancreatic ductal adenocarcinoma (PDAC) patients prior to FFX or GnP first-line combination therapy, finding molecular heterogeneity between patients and differing response to chemotherapy. Using the COMPASS trial dataset consisting of only 208 patients and NetraAI, a novel machine learning (ML) platform using a novel causal feature set discovery methodology, we explored generated hypotheses to differentiate causal factors that affect patient response to FFX and GnP. Differentiating FFX and GnP treatment response in stable disease patients revealed 3 distinct subpopulations with genetic differentiation related to neuron death and regulation, neurotrophin signaling, and neuron apoptotic processes. NetraAI identified genes driving patient subpopulations, such as LRRC8E, PTPRH, and UTG1A13p. Further investigation revealed that LRRC29 and CLEC19A distinguished a group of patients that responded well to FFX. LRRC29 relates to HOOK1, which negatively regulates epithelial-to-mesenchymal transition and has been reported to be decreased in PDAC. Low HOOK1 and SHP2 expression in non-small cell lung cancer is associated with a good response to GnP, suggesting that chemotherapy response depends on the interaction of the chemotherapeutic agent and genetic factors involved in disease progression as opposed to the tumor type. These results suggest that LRRC29 expression can act as a biomarker to choose between GnP and FFX treatment. In this way, NetraAI's ability to generate explainable hypotheses around patient subpopulations can help oncologists personalize treatments and better understand clinical trial patient populations. By identifying distinct genetic signatures within patient datasets. By identifying unique molecular heterogeneity that explains differing responses to therapy, NetraAI is a powerful tool that can extract insights from multi-dimensional and highly heterogenous patient population datasets that can help to inform clinical trial enrichment decisions to improve the success of pivotal trials. This work has a significant impact on precision medicine and clinical trial de-risking, while identifying specific genes and pathways involved in patient response to therapy. Citation Format: Bessi Qorri, Mike Tsay, Josh Spiegel, Douglas Cook, Joseph Geraci. Understanding treatment response in pancreatic cancer: NetraAI provides genetic differentiation in FOLFIRINOX and gemcitabine response [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B073.

Results of a patient survey using an online questionnaire after implant removal for breast implant illness.

The use of silicone breast implants has a history of over 60 years. In recent years, specific health issues among implant wearers have repeatedly come into focus. The term "breast implant illness" has been circulating in scientific literature and on social media for several years. It describes a cluster of up to 60 different symptoms. The present results of an online survey conducted within a clinic's patient population of the last 8 years show, among other things, the evolution of 8 reported symptoms before and after breast implant removal. In the comparison before and after, there is a significant reduction in the intensity of symptoms after implant removal. A causal relationship with the removal of the implants is to be presumed.

Inflammation and response to nutrition interventions.

The complex interplay between nutrition and inflammation has become a major focus of research in recent years across different clinical settings and patient populations. Inflammation has been identified as a key driver for disease-related malnutrition promoting anorexia, reduced food intake, muscle loss, and on a cellular level, insulin resistance, which together stimulate catabolism. However, these effects may well be bidirectional, and there is strong evidence showing that nutrition influences inflammation. Several single nutrients and dietary patterns with either proinflammatory or anti-inflammatory properties have been studied, such as the long-chain ω-3 fatty acids eicosapentaenoic acid or docosahexaenoic acid. The Mediterranean diet combines several such nutrients and has been shown to improve medical outcomes in the outpatient setting. In addition, there is increasing evidence suggesting that inflammation affects the metabolism and modulates the response to nutrition support interventions. In fact, recent studies from the medical inpatient setting suggest that inflammation, mirrored by high levels of C-reactive protein, diminishes the positive effects of nutrition support. This may explain the lack of positive effects of some nutrition trials in severely ill patients, whereas similar approaches to nutritional support have shown positive results in less severely ill patients. The use of biomarkers, such as C-reactive protein, may help to identify patients with a lower response to nutrition, in whom other treatment options need to be used. There is need for additional research to understand how to best address the malnourished patient with inflammation by specifically lowering inflammation through anti-inflammatory medical treatments and/or nutrition interventions.

Fertility concerns and treatment decision-making among national sample of young women with breast cancer.

Diagnosis of breast cancer in young women has been shown to affect their decision-making with regard to fertility and family planning. Limited data are available from populations across the U.S. regarding this issue; thus, we sought to describe fertility concerns and efforts to preserve fertility in a national clinical trial population of young breast cancer patients. The young and strong study was a cluster-randomized controlled trial testing an intervention program for young women with breast cancer. Patients were surveyed within 3 months after diagnosis and at 3, 6, and 12 months after. Surveys asked about sociodemographics, psychosocial domains, fertility concerns, and fertility preservation strategies. Univariable and multivariable models were used to investigate sociodemographic, clinical, and psychosocial predictors of fertility concerns. Of 467 women from 54 clinical sites across the U.S. (14 academic, 40 community), 419 were evaluable regarding fertility concerns. Median age was 40 years (range 22-45), 11% were Black, 6% Hispanic, and 75% had children. Tumor stage was I (35%), II (51%), or III (14%); 82% received chemotherapy. At time of the treatment decision, 133 (32%) participants had fertility concerns, among whom 47% indicated this affected their treatment decisions. Sixty percent of participants reported having discussed fertility with their physician. Twenty percent of those with fertility concerns used fertility preservation strategies. History of difficulty becoming pregnant and younger age were associated with higher odds of fertility concerns in multivariable modeling. Many young women with newly diagnosed breast cancer are concerned about fertility in a way that impacts their treatment decisions. Concerns were discussed, but few used fertility preservation strategies. These findings have implications for counseling young patients.