Integrating 40-GEP Testing to Improve Clinical Recommendations for Adjuvant Radiation for Cutaneous Squamous Cell Carcinoma: Multidisciplinary Consensus Guidelines.

Early identification and intervention in patients with cutaneous squamous cell carcinoma (cSCC) who are at high risk for metastasis is important for optimal outcomes. Prognostic tools (e.g., American Joint Committee on Cancer, 8th edition [AJCC-8]) and management guidelines (National Comprehensive Cancer Network® [NCCN]) are useful in helping to identify high-risk patients with cSCC who might benefit from adjuvant therapies, such as radiation and/or immunotherapies; however, traditional staging and management guidelines rely on clinicopathologic risk factors to predict risk, which limits their prognostic accuracy. Gene expression profiling (GEP) is a clinically available, objective metric that can be used in conjunction with traditional clinicopathological staging to help clinicians stratify risk in patients with cSCC. The validated 40-GEP test can accurately classify patients with at least one high-risk feature as being at low (Class 1), higher (Class 2A), or highest (Class 2B) biological risk of nodal or distant metastasis within three years of diagnosis. A multidisciplinary panel comprising radiation oncologists and dermatologists/Mohs micrographic surgeons with expertise in cSCC management convened in June 2023 to discuss the utility of 40-GEP testing in cSCC clinical decision-making in regard to adjuvant radiation therapy (ART). The panel identified gaps in clinical practice in which 40-GEP testing has particular utility: in escalation of care for lower-stage patients with high-risk tumors; in de-escalation of care for patients for whom the risks of ART may outweigh the benefits; and in decision-making regarding elective radiation to the nodal basin. The expert panel developed a risk-based clinical workflow for ART in patients with cSCC, utilizing 40-GEP testing within NCCN management guidelines and AJCC-8 staging.

The Impact of Positron Emission Tomography Imaging and Tumor Molecular Profiling on Risk Stratification, Treatment Choice, and Oncological Outcomes of Patients with Primary or Relapsed Prostate Cancer: An International Collaborative Review of the Existing Literature.

CONTEXT: The clinical introduction of next-generation imaging methods and molecular biomarkers ("radiogenomics") has revolutionized the field of prostate cancer (PCa). While the clinical validity of these tests has thoroughly been vetted, their clinical utility remains a matter of investigation. OBJECTIVE: To systematically review the evidence to date on the impact of positron emission tomography (PET) imaging and tissue-based prognostic biomarkers, including Decipher, Prolaris, and Oncotype Dx, on the risk stratification, treatment choice, and oncological outcomes of men with newly diagnosed PCa or those with biochemical failure (BCF). EVIDENCE ACQUISITION: We performed a quantitative systematic review of the literature using the MEDLINE, EMBASE, and Web of Science databases (2010-2022) following the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement guidelines. The validated Quality Assessment of Diagnostic Accuracy Studies 2 scoring system was used to assess the risk of bias. EVIDENCE SYNTHESIS: A total of 148 studies (130 on PET and 18 on biomarkers) were included. In the primary PCa setting, prostate-specific membrane antigen (PSMA) PET imaging was not useful in improving T staging, moderately useful in improving N staging, but consistently useful in improving M staging in patients with National Comprehensive Cancer Network (NCCN) unfavorable intermediate- to very-high-risk PCa. Its use led to a management change in 20-30% of patients. However, the effect of these treatment changes on survival outcomes was not clear. Similarly, biomarkers in the pretherapy primary PCa setting increased and decreased the risk, respectively, in 7-30% and 32-36% of NCCN low-risk and 31-65% and 4-15% of NCCN favorable intermediate-risk patients being considered for active surveillance. A change in management was noted in up to 65% of patients, with the change being in line with the molecular risk-based reclassification, but again, the impact of these changes on survival outcomes remained unclear. Notably, in the postsurgical primary PCa setting, biomarker-guided adjuvant radiation therapy (RT) was associated with improved oncological control: Δ↓ 2-yr BCF by 22% (level 2b). In the BCF setting, the data were more mature. PSMA PET was consistently useful in improving disease localization-Δ↑ detection for T, N, and M staging was 13-32%, 19-58%, and 9-29%, respectively. Between 29% and 73% of patients had a change in management. Most importantly, these management changes were associated with improved survival outcomes in three trials: Δ↑ 4-yr disease-free survival by 24.3%, Δ↑ 6-mo metastasis-free survival (MFS) by 46.7%, and Δ↑ androgen deprivation therapy-free survival by 8 mo in patients who received PET-concordant RT (level 1b-2b). Biomarker testing in these patients also appeared to be helpful in risk stratifying and guiding the use of early salvage RT (sRT) and concomitant hormonal therapy. Patients with high-genomic-risk scores benefitted from treatment intensification: Δ↑ 8-yr MFS by 20% with the use of early sRT and Δ↑ 12-yr MFS by 11.2% with the use of hormonal therapy alongside early sRT, while low-genomic-risk score patients did equally well with initial conservative management (level 3). CONCLUSIONS: Both PSMA PET imaging and tumor molecular profiling provide actionable information in the management of men with primary PCa and those with BCF. Emerging data suggest that radiogenomics-guided treatments translate into direct survival benefits for patients, however, additional prospective data are awaited. PATIENT SUMMARY: In this review, we evaluated the utility of prostate-specific membrane antigen positron emission tomography and tumor molecular profiling in guiding the care of men with prostate cancer (PCa). We found that these tests augmented risk stratification, altered management, and improved cancer control in men with a new diagnosis of PCa or for those experiencing a relapse.

Prediction of atherosclerotic cardiovascular risk in early childhood.

Atherosclerotic lesions are present even in very young individuals and therefore, risk stratification for cardiovascular (CV) disease should be implemented in childhood to promote early prevention strategies. In this review we critically appraise clinical, biochemical and genetic biomarkers available for pediatric clinical practice, which might be integrated to build effective algorithms to identify children at risk of future CV events. The first critical issue is to characterize in children aged 2-5 years, those CV risk factors/clinical conditions associated with dramatically accelerated atherosclerosis. Presence of clinical conditions such as obesity, diabetes mellitus, Kawasaki disease, etc., or positive family history for premature CV disease should be evaluated. Subsequently, a complete lipid profile and Lipoprotein(a) determination are recommended for children with increased baseline CV risk. Individuals with altered lipid profile could then undergo genetic testing for monogenic dyslipidemias to identify children with high CV genetic risk, who will be directed to appropriate therapeutic options. In perspective, calculation of a polygenic risk score, based on the analysis of several common single-nucleotide polymorphisms, could be integrated for better risk assessment. We here emphasize the importance of a "holistic" strategy integrating biochemical, anamnestic and genetic data to stratify CV risk in early childhood.

Efficacy analysis of the acute endovascular treatment in patients with symptomatic severe anterior intracranial atherosclerotic stenosis / 中国脑血管病杂志

Objective Observing the feasibility of acute endovascular treatment for patients with symptomatic anterior intracranial atherosclerotic severe stenosis.Method From Jun 2019 to Jun 2023,30 symptomatic anterior intracranial atherosclerotic severe stenosis cases were retrospectively collected in the Guangdong Hospital of Traditional Chinese Medicine to evaluate the risk stratification score and explore the safety and effectiveness of acute(≤72.0h)endovascular treatment.Endovascular treatment includes balloon dilation+self-expanding stent placement,balloon-mounted stent placement,and balloon dilation.From the clinical experience,the risk stratification score was based on the ABCD3-I score for transient ischemic attacks(TIA)and additional evaluation of cerebral watershed infarction to identify the risk of stroke progression or recurrence in acute stage of symptomatic intracranial artery stenosis.The score of 0-3 was defined as low-risk,4-7 as medium risk,and 8-13 as high-risk.The successful revascularization of blood flow is determined based on the residual stenosis≤50％and the extended thrombolysis in cerebral infarction(eTICI)＞2c.The information of patient receiving endovascular treatment was recorded,including age,sex,risk factors of cerebrovascular disease(hypertension,diabetes,hyperlipidemia,hyperhomocysteinemia,drinking history,smoking history),onset data(time from onset to endovascular treatment,symptoms,progression),diseased vessels,risk stratification score,National Institutes of Health Stroke Scale(NIHSS)score before and 90 days after surgery,modified Rankin scale(mRS)score 90 days after surgery,intraoperative cerebrovascular events(intracranial hemorrhage,occlusion of responsible vessels),and postoperative cerebrovascular events 90 days after surgery(intracranial hemorrhage,cerebral infarction,TIA and in-stent restenosis)and deaths.Results Among 30 patients with symptomatic anterior intracranial atherosclerotic severe stenosis,3 patients were excluded from the time interval between onset and endovascular treatment＞72.0 hours,1 patient needed long-term anticoagulant drugs due to other diseases,1 patient lost follow-up,3 patients coexisted with other cardiogenic cerebral embolism diseases,4 patients with non-atherosclerotic arterial stenosis,and 7 patients refused emergency endovascular treatment.11 patients were finally included.(1)All 11 patients were successfully treated with endovascular treatment,and 7 were males;age ranged from 52 to 76 years old,with a median age of 64 years old;there were 9 cases with hypertension,3 cases diabetes,7 cases hyperlipidemia,2 cases hyperhomocysteinemia(only 9cases performed the examination),2cases smoking history,1 case drinking history;time from onset to endovascular treatment is 4.0-72.0 h,with a median time of 12.0 h;there were 3 and 8 cases of infarction in the left and right hemispheres,respectively,with 4,3,and 2 cases accompanied with anterior-posterior watershed,medial watershed,and anlerior-medial-posterior watershed infarctions,and 1 case accompanied by posterior-medial,anterior-medial watershed infarctions.(2)Among the 1 1 patients,the risk stratification score was 10-13 points,with a median score of 11 points;preoperative NIHSS score ranged 0-11 points,with a median score of 7 points.(3)Among the 1 1 patients,10 lesions located in the middle cerebral artery and 1 in the C7 segment of the internal carotid artery;the preoperative stenosis rate was 70％to 99％,with a median stenosis rate of 86％;preoperative eTICI grading was 2a in 7 cases and 2b50 in 4 cases(with slow distal blood flow);9 cases received balloon dilation and self-expanding stent placement,1 case received balloon-mounted stent placement,and 1 case received balloon dilation treatment;the postoperative stenosis rate is 10％to 20％,with a median stenosis rate of 15％;there were 3 cases with postoperative eTICI grade 2c and 8 cases with grade 3.(4)Among the 11 patients,one experienced intracranial hemorrhage on the first day after surgery and one had a new cerebral infarction on the third day after surgery.Eight patients were followed up by imaging 90days after surgery,demonstrating 2 cases of in-stent restenosis;90 days post-surgery,NIHSS score was 0-20 points,with a median score of 2 points;after 90 days of surgery,the mRS score was 0-4 points,with a median score of 1 point.There were 8 patients with mRS score ≤ 2 and no death events occurred.Conclusions Preliminary analysis shows that acute endovascular treatment for symptomatic anterior intracranial atherosclerotic severe stenosis has certain effectiveness,but the safety needs to be further validated.The screening of high-risk patients using risk stratification scores still requires further exploration through large sample and multicenter studies.

Identifying models of care to improve outcomes for older people with urgent care needs: a mixed methods approach to develop a system dynamics model.

Background: We aimed to understand urgent and emergency care pathways for older people and develop a decision support tool using a mixed methods study design. Objective(s), study design, settings and participants: Work package 1 identified best practice through a review of reviews, patient, carer and professional interviews. Work package 2 involved qualitative case studies of selected urgent and emergency care pathways in the Yorkshire and Humber region. Work package 3 analysed linked databases describing urgent and emergency care pathways identifying patient, provider and pathway factors that explain differences in outcomes and costs. Work package 4 developed a system dynamics tool to compare emergency interventions. Results: A total of 18 reviews summarising 128 primary studies found that integrated social and medical care, screening and assessment, follow-up and monitoring of service outcomes were important. Forty patient/carer participants described emergency department attendances; most reported a reluctance to attend. Participants emphasised the importance of being treated with dignity, timely and accurate information provision and involvement in decision-making. Receiving care in a calm environment with attention to personal comfort and basic physical needs were key. Patient goals included diagnosis and resolution, well-planned discharge home and retaining physical function. Participants perceived many of these goals of care were not attained. A total of 21 professional participants were interviewed and 23 participated in focus groups, largely confirming the review evidence. Implementation challenges identified included the urgent and emergency care environment, organisational approaches to service development, staff skills and resources. Work package 2 involved 45 interviews and 30 hours of observation in four contrasting emergency departments. Key themes relating to implementation included: intervention-related staff: frailty mindset and behaviours resources: workforce, space, and physical environment operational influences: referral criteria, frailty assessment, operating hours, transport. context-related links with community, social and primary care organisation and management support COVID-19 pandemic. approaches to implementation service/quality improvement networks engaging staff and building relationships education about frailty evidence. The linked databases in work package 3 comprised 359,945 older people and 1,035,045 observations. The most powerful predictors of four-hour wait and transfer to hospital were age, previous attendance, out-of-hours attendance and call handler designation of urgency. Drawing upon the previous work packages and working closely with a wide range of patient and professional stakeholders, we developed an system dynamics tool that modelled five evidence-based urgent and emergency care interventions and their impact on the whole system in terms of reducing admissions, readmissions, and hospital related mortality. Limitations: Across the reviews there was incomplete reporting of interventions. People living with severe frailty and from ethnic minorities were under-represented in the patient/carer interviews. The linked databases did not include patient reported outcomes. The system dynamics model was limited to evidence-based interventions, which could not be modelled conjointly. Conclusions: We have reaffirmed the poor outcomes frequently experienced by many older people living with urgent care needs. We have identified interventions that could improve patient and service outcomes, as well as implementation tools and strategies to help including clinicians, service managers and commissioners improve emergency care for older people. Future work: Future work will focus on refining the system dynamics model, specifically including patient-reported outcome measures and pre-hospital services for older people living with frailty who have urgent care needs. Study registrations: This study is registered as PROSPERO CRD42018111461. WP 1.2: University of Leicester ethics: 17525-spc3-ls:healthsciences, WP 2: IRAS 262143, CAG 19/CAG/0194, WP 3: IRAS 215818, REC 17/YH/0024, CAG 17/CAG/0024. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme [project number 17/05/96 (Emergency Care for Older People)] and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 14. See the NIHR Journals Library website for further project information.

Many older people attending emergency care have poor outcomes; this project aimed to: describe best practice in emergency care understand how best practice might be delivered describe outcomes from emergency care, and synthesise this information in a computer simulation tool that can help teams decide which interventions might work best in their setting. The existing literature showed that holistic interventions (caring for the whole person), spanning emergency and community care, designed with the needs of older people in mind, work best. We checked these findings with front line clinicians, who agreed, but identified that implementing best practice in the emergency department was challenging. Limitations included the emergency department environment itself and the lack of staff with the right skillset. We also asked older people and their carers who had recently received emergency care what mattered. They prioritised basic needs such as comfort, communication, and timely care. They also stated that getting better, maintaining their usual level of function, and getting home safely were important outcomes. We then analysed data that linked together ambulance, emergency department, and hospital care in Yorkshire and Humber from 2011­17 for over 1 million emergency department attendances and hospital admissions. We found a novel and accurate predictor of long emergency department waits and hospital admission: the level of urgency according to the ambulance call handler. Drawing upon all the above and guided by a wide range of patient and professionals, we developed a computer model which allows emergency care teams to simulate different best practice emergency department interventions and estimate the impact on reducing admissions, readmissions, and hospital mortality. In summary, we have reaffirmed the poor outcomes experienced by many older people with urgent care needs. We have identified interventions that could improve patient and service outcomes, as well as implementation tools to help including clinicians, hospital managers and funders transform emergency care for older people.

[Prostate cancer-multiparametric MRI and alternative approaches in intervention and therapy planning]. / Multiparametrische MRT und alternative Methoden in der Interventions- und Behandlungsplanung beim Prostatakarzinom.

BACKGROUND: In recent years, multiparametric magnetic resonance imaging (mpMRI) of the prostate has gained importance and plays a crucial role in both personalized diagnostics and increasingly in the treatment planning for patients with prostate cancer. OBJECTIVE: The aim of this study is to present established and innovative applications of MRI in the diagnosis and treatment of localized prostate cancer, evaluating their strengths and weaknesses. Furthermore, it will explore alternative approaches and compare them in a comprehensive manner. MATERIALS AND METHODS: A systematic literature review on the application of mpMRI for biopsy and therapy planning was conducted. RESULTS: The integration of modern imaging techniques, especially mpMRI, into the diagnostic algorithm has revolutionized prostate cancer diagnosis. MRI and MRI-guided biopsy detect more significant prostate cancer, with the potential to reduce unnecessary biopsies and the diagnosis of clinically insignificant carcinomas. In addition, MRI provides crucial information for risk stratification and treatment planning in prostate cancer patients, both before radical prostatectomy and during active surveillance. CONCLUSION: Multiparametric MRI offers significant added value for the diagnosis and treatment of localized prostate cancer. The advancement of MRI analysis, such as the implementation of artificial intelligence algorithms, holds the potential for further enhancing imaging diagnostics.

Association between adjuvant radiation treatment and breast cancer-specific mortality among older women with comorbidity burden: A comparative effectiveness analysis of SEER-MHOS.

BACKGROUND: The National Comprehensive Cancer Network suggested that older women with low-risk breast cancer (LRBC; i.e., early-stage, node-negative, and estrogen receptor-positive) could omit adjuvant radiation treatment (RT) after breast-conserving surgery (BCS) if they were treated with hormone therapy. However, the association between RT omission and breast cancer-specific mortality among older women with comorbidity is not fully known. METHODS: 1105 older women (≥65 years) with LRBC in 1998-2012 were queried from the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey data resource and were followed up through July 2018. Latent class analysis was performed to identify comorbidity burden classes. A propensity score-based inverse probability of treatment weighting (IPTW) was applied to Cox regression models to obtain subdistribution hazard ratios (HRs) and 95% CI for cancer-specific mortality considering other causes of death as competing risks, overall and separately by comorbidity burden class. RESULTS: Three comorbidity burden (low, moderate, and high) groups were identified. A total of 318 deaths (47 cancer-related) occurred. The IPTW-adjusted Cox regression analysis showed that RT omission was not associated with short-term, 5- and 10-year cancer-specific death (p = 0.202 and p = 0.536, respectively), regardless of comorbidity burden. However, RT omission could increase the risk of long-term cancer-specific death in women with low comorbidity burden (HR = 1.98, 95% CI = 1.17, 3.33), which warrants further study. CONCLUSIONS: Omission of RT after BCS is not associated with an increased risk of cancer-specific death and is deemed a reasonable treatment option for older women with moderate to high comorbidity burden.

Treatment of iron deficiency in patients scheduled for pancreatic surgery: implications for daily prehabilitation practice in pancreatic surgery.

BACKGROUND: Preoperative anemia is a frequent complication in pancreatic surgical patients, and it adversely affects morbidity, mortality, and postoperative red blood cell (RBC) transfusion rates. Iron deficiency (ID) is often the underlying cause of anemia and constitutes a modifiable risk factor. METHODS: Single-center, longitudinal prospective cohort study conducted between May 2019 and August 2022 at the University Medical Center Groningen in the Netherlands. Patients scheduled for pancreatic surgery were referred to the outpatient prehabilitation clinic for preoperative optimization of patient-related risk factors. Patients were screened for anemia (< 12.0 g/dL in women and < 13.0 g/dL in men) and ID (either absolute [ferritin < 30 µg/L] or functional [ferritin ≥ 30 µg/L + transferrin saturation < 20% + C-reactive protein > 5 mg/L]). Intravenous iron supplementation (IVIS) (1,000 mg ferric carboxymaltose) was administered to patients with ID at the discretion of the consulting internist. Pre- and postoperative hemoglobin (Hb) levels were assessed, and perioperative outcomes were compared between patients receiving IVIS (IVIS-group) or standard care (SC-group). RESULTS: From 164 screened patients, preoperative anemia was observed in 55 (33.5%) patients, and in 23 (41.8%) of these patients, ID was the underlying cause. In 21 patients, ID was present without concomitant anemia. Preoperative IVIS was administered to 25 patients, out of 44 patients with ID. Initial differences in mean Hb levels (g/dL) between the IVIS-group and SC-group at the outpatient clinic and one day prior to surgery (10.8 versus 13.2, p < 0.001, and 11.8 versus 13.4, p < 0.001, respectively) did not exist at discharge (10.6 versus 11.1, p = 0.13). Preoperative IVIS led to a significant increase in mean Hb levels (from 10.8 to 11.8, p = 0.03). Fewer SSI were observed in the IVIS-group (4% versus 25.9% in the SC-group, p = 0.02), which remained significant in multivariable regression analysis (OR 7.01 (1.68 - 49.75), p = 0.02). CONCLUSION: ID is prevalent in patients scheduled for pancreatic surgery and is amendable to preoperative correction. Preoperative IVIS increased Hb levels effectively and reduced postoperative SSI. Screening and correction of ID is an important element of preoperative care and should be a standard item in daily prehabilitation practice.

Mapping children by ALT 4-5 years after liver transplant: Potential individual and population applications.

INTRODUCTION: Although clinicians repeatedly measure ALT to assess allograft health in children with liver transplants, they generally make decisions based on single values or qualitative trends without quantitative aggregation or synthesis. We therefore aimed to derive and test a holistic ALT metric for the 5th post-transplant year (Yr 4-5) that may better guide clinical decision-making and/or population comparisons. METHODS: We derived the "adjusted mean Yr 4-5 ALT" for children transplanted in 2005-2016 by averaging the median ALT from each month. Patients in quartiles (Q1-4) defined by the adjusted mean Yr 4-5 ALT were compared by clinical variables, Yr 5-8 outcomes, and tacrolimus standard deviation (MLVI). RESULTS: For 97 children [49 male; 77 deceased donors; median (IQR) age at LT 2.5 (0.8-11.7) years], the 25th, 50th, and 75th percentile thresholds for adjusted mean Yr 4-5 ALT were 19, 28, and 47 U/L, respectively. Age, donor type, LT indication, rejection history, and mean tacrolimus levels did not differ between quartiles (Q). Children in Q4 had more Yr 4-5 acute rejection episodes (p < .01), higher Yr 4-5 MLVI (p < .01), and more Yr 5-8 for-cause liver biopsies (p < .01) than those in Q1 + Q2. Children in Q3 also had higher Yr 4-5 MLVI than Q1 + Q2 (p = .047). Rates of chronic rejection and therapeutic liver-related procedures were higher in Q4 but the difference did not reach significance. CONCLUSION: An integrated ALT metric calculated utilizing all available ALT values correlates with MLVI and future for-cause biopsies. Further study of this novel ALT metric as a predictor of clinical outcomes and descriptor of populations is warranted.

Prognostic value of pre-therapeutic nutritional risk factors in elderly patients with locally advanced esophageal squamous cell carcinoma receiving definitive chemoradiotherapy or radiotherapy.

BACKGROUND: The nutritional status of cancer patients is a crucial factor in determining their prognosis. The objective of this study was to investigate and compare the prognostic value of pretreatment nutrition-related indicators in elderly esophageal squamous cell carcinoma (ESCC). Risk stratification was performed according to independent risk factors and a new nutritional prognostic index was constructed. METHODS: We retrospectively reviewed 460 older locally advanced ESCC patients receiving definitive chemoradiotherapy (dCRT) or radiotherapy (dRT). This study included five pre- therapeutic nutrition-related indicators. The optimal cut-off values for these indices were calculated from the Receiver Operating Curve (ROC). Univariate and multivariate COX analyses were employed to determine the association between each indicator and clinical outcomes. The predictive ability of each independently nutrition-related prognostic indicator was assessed using the time-dependent ROC (time-ROC) and C-index. RESULTS: Multivariate analyses indicated that the geriatric nutrition risk index (GNRI), body mass index (BMI), the controlling nutritional status (CONUT) score, and platelet-albumin ratio (PAR) could independently predict overall survival (OS) and progression-free survival (PFS) in elderly patients with ESCC (all p < 0.05), except for prognostic nutritional index (PNI). Based on four independently nutrition-related prognostic indicators, we developed pre-therapeutic nutritional prognostic score (PTNPS) and new nutritional prognostic index (NNPI). No-risk (PTNPS = 0-1 point), moderate-risk (PTNPS = 2 points), and high-risk (PTNPS = 3-4 points) groups had 5-year OS rates of 42.3%, 22.9%, and 8.8%, respectively (p < 0.001), and 5-year PFS rates of 44.4%, 26.5%, and 11.3%, respectively (p < 0.001). The Kaplan-Meier curves showed that the mortality of elderly ESCC patients in the high-risk group was higher than that in the low-risk group according to the NNPI. Analysis of time-AUC and C-index revealed that the NNPI (C-index: 0.663) had the greatest predictive power on the prognosis in older ESCC patients. CONCLUSIONS: In elderly ESCC patients, the GNRI, BMI, CONUT score, and PAR can be used as objective assessment measures for the risk of nutrition-related death. Compared to the other four indexes, the NNPI has the greatest prognostic value for prognosis, and elderly patients with a higher nutritional risk have a poor prognosis, which is helpful in guiding early clinical nutrition intervention.

Factors Associated With Receipt of Diabetes Self-Management Education and Support for Type 2 Diabetes: Potential for a Population Health Management Approach.

BACKGROUND: Population health management approaches can help target diabetes resources like Diabetes Self-Management Education and Support (DSMES) to individuals at the highest risk of complications and poor outcomes. Little is known about patient characteristics associated with DSMES receipt since widespread uptake of telemedicine for diabetes care in 2020. METHODS: In this retrospective cohort study, we used electronic medical record (EMR) data to assess patterns of DSMES delivery from May 2020 to May 2022 among adults who used telemedicine for type 2 diabetes (T2D) endocrinology care in a large integrated health system. Multilevel regression models were used to evaluate the association of key patient characteristics with DSMES receipt. RESULTS: Of 3530 patients in the overall cohort, 401 patients (11%) received DSMES. In adjusted multivariable logistic regression, higher baseline HbA1c (odds ratios [OR] 3.10 [95% confidence interval 2.22-4.33] for HbA1c ≥9% vs <7%), insulin regimen complexity (OR 3.53 [2.59-4.80] for multiple daily injections vs no insulin), and number of noninsulin medications (OR 1.17 [1.05-1.30] per 1 additional medication) were significantly associated with receipt of DSMES, whereas rurality and area-level deprivation of patient residence were not. CONCLUSIONS: Diabetes Self-Management Education and Support remains underutilized in this cohort of adults using telemedicine to access endocrinology care for T2D. Factors contributing to clinical complexity increased the odds of receiving DSMES. These results support a potential population health management approach using EMR data, which could target DSMES resources to those at higher risk of poor outcomes. This risk-stratified approach may be even more effective now that more people can access DSMES via telemedicine in addition to in-person care.

The markers and risk stratification model of intracranial aneurysm instability in a large Chinese cohort.

Intracranial aneurysm is the leading cause of nontraumatic subarachnoid hemorrhage. Evaluating the unstable (rupture and growth) risk of aneurysms is helpful to guild decision-making for unruptured intracranial aneurysms (UIA). This study aimed to develop a model for risk stratification of UIA instability. The UIA patients from two prospective, longitudinal multicenter Chinese cohorts recruited from January 2017 to January 2022 were set as the derivation cohort and validation cohort. The primary endpoint was UIA instability, comprising aneurysm rupture, growth, or morphology change, during a 2-year follow-up. Intracranial aneurysm samples and corresponding serums from 20 patients were also collected. Metabolomics and cytokine profiling analysis were performed on the derivation cohort (758 single-UIA patients harboring 676 stable UIAs and 82 unstable UIAs). Oleic acid (OA), arachidonic acid (AA), interleukin 1ß (IL-1ß), and tumor necrosis factor-α (TNF-α) were significantly dysregulated between stable and unstable UIAs. OA and AA exhibited the same dysregulated trends in serums and aneurysm tissues. The feature selection process demonstrated size ratio, irregular shape, OA, AA, IL-1ß, and TNF-α as features of UIA instability. A machine-learning stratification model (instability classifier) was constructed based on radiological features and biomarkers, with high accuracy to evaluate UIA instability risk (area under curve (AUC), 0.94). Within the validation cohort (492 single-UIA patients harboring 414 stable UIAs and 78 unstable UIAs), the instability classifier performed well to evaluate the risk of UIA instability (AUC, 0.89). Supplementation of OA and pharmacological inhibition of IL-1ß and TNF-α could prevent intracranial aneurysms from rupturing in rat models. This study revealed the markers of UIA instability and provided a risk stratification model, which may guide treatment decision-making for UIAs.

Construction and validation of prognostic scoring models to risk stratify patients with acquired immune deficiency syndrome-related diffuse large B cell lymphoma.

Acquired immune deficiency syndrome (AIDS)-related diffuse large B cell lymphoma (AR-DLBCL) is a rare disease with a high risk of mortality. There is no specific prognostic model for patients with AR-DLBCL. A total of 100 patients diagnosed with AR-DLBCL were enrolled in our study. Clinical features and prognostic factors for overall survival (OS) and progression-free survival (PFS) were evaluated by univariate and multivariate analyses. Central nervous system (CNS) involvement, opportunistic infection (OI) at lymphoma diagnosis, and elevated lactate dehydrogenase (LDH) were selected to construct the OS model; CNS involvement, OI at lymphoma diagnosis, elevated LDH, and over four chemotherapy cycles were selected to construct the PFS model. The area under the curve and C-index of GZMU OS and PFS models were 0.786/0.712; 0.829/0.733, respectively. The models we constructed showed better risk stratification than International Prognostic Index (IPI), age-adjusted IPI, and National Comprehensive Cancer Network-IPI. Furthermore, in combined cohort, the Hosmer-Lemeshow test showed that the models were good fits (OS: p = 0.8244; PFS: p = 0.9968) and the decision curve analysis demonstrated a significantly better net benefit. The prognostic efficacy of the proposed models was validated independently and outperformed the currently available prognostic tools. These novel prognostic models will help to tackle a clinically relevant unmet need.

A novel scoring system for the quantitative prediction of prognosis in acute myeloid leukemia.

Background: Acute myeloid leukemia (AML) is a heterogeneous hematopoietic malignancy. Patient prognosis cannot be accurately assessed in National Comprehensive Cancer Network (NCCN) risk stratification subgroups based on the current criteria. This study aimed to develop a novel prognostic score model for the quantitative prediction of prognosis in AML. Results: We developed a prognostic risk scoring model of AML using differentially expressed genes to predict prognosis in patients with AML. Furthermore, we evaluated the effectiveness and clinical significance of this prognostic model in 4 AML cohorts and 905 patients with AML. A prognostic risk scoring model of AML containing eight prognosis-related genes was constructed using a multivariate Cox regression model. The model had a higher predictive value for the prognosis of AML in the training and validation sets. In addition, patients with lower scores had significantly better overall survival (OS) and even-free survival (EFS) than those with higher scores among patients with intermediate-risk AML according to the NCCN guidelines, indicating that the model could be used to further predict the prognosis of the intermediate-risk AML populations. Similarly, patients with high scores had remarkably poor OS and EFS in the normal-karyotype populations, indicating that the scoring model had an excellent predictive performance for patients with AML having normal karyotype. Conclusions: Our study provided an individualized prognostic risk score model that could predict the prognosis of patients with AML.

Enhancing prognostication and personalizing treatment of extranodal marginal zone lymphoma.

INTRODUCTION: Extranodal marginal zone lymphoma (EMZL) of mucosa-associated lymphoid tissue is an indolent lymphoma originating from marginal zone B-cells and associated with chronic inflammation. EMZL demonstrates distinct genomic alterations according to the primary extranodal site of disease but commonly affects signaling pathways including NF-ĸB, B-cell receptor, and NOTCH. Treatment with radiation therapy is commonly implemented in localized diseases, and multiple agents are available for patients with advanced-stage diseases in need of therapy. Bendamustine with rituximab is a frontline platform associated with high efficacy. AREAS COVERED: Clinical features, diagnosis, genomics, models enabling risk stratification, treatment options, and future directions. EXPERT OPINION: The lack of consistent genotyping profile in EMZL precludes the development of tissue and circulatory biomarkers for the diagnosis, risk stratification, and monitoring of minimal residual disease. Furthermore, the biological heterogeneity observed in extranodal sites associated with overall limited genomic data prevents the testing of druggable pathways aiming for a personalized treatment approach. Future clinical trials should focus on EMZL considering the unique clinical characteristics in the eligibility criteria and response assessment to better inform efficacy of novel agents and delineate sequences of therapies.

Limited Relevance of the Very Low Risk Prostate Cancer Classification in the Modern Era: Results from a Large Institutional Active Surveillance Cohort.

Although the American Urological Association recently dropped the very low-risk (VLR) subcategory for low-risk prostate cancer (PCa) and the European Association of Urology does not substratify low-risk PCa, the National Comprehensive Cancer Network (NCCN) guidelines still maintain this stratum, which is based on the number of positive biopsy cores, tumor extent in each core, and prostate-specific antigen density. This subdivision may be less applicable in the modern era in which imaging-targeted prostate biopsies are common practice. In our large institutional active surveillance cohort of patients diagnosed from 2000 to 2020 (n = 1276), the number of patients meeting NCCN VLR criteria decreased significantly in recent years, with no patient meeting VLR criteria after 2018. By contrast, the multivariable Cancer of the Prostate Risk Assessment (CAPRA) score effectively substratified patients over the same period and was predictive of upgrading on repeat biopsy to Gleason grade group ≥2 on multivariable Cox proportional-hazards regression modeling (hazard ratio 1.21, 95% confidence interval 1.05-1.39; p < 0.01), independent of age, genomic test results, and magnetic resonance imaging findings. These findings suggest that the NCCN VLR criteria are less applicable in the targeted biopsy era, and that the CAPRA score or similar instruments are better contemporary risk stratification tools for men on active surveillance. PATIENT SUMMARY: We investigated whether the National Comprehensive Cancer Network classification of very low risk (VLR) for prostate cancer is relevant in the modern era. We found that in a large group of patients on active surveillance, no man diagnosed after 2018 satisfied the VLR criteria. However, the Cancer of the Prostate Risk Assessment (CAPRA) score discriminated patients by cancer risk at diagnosis and was predictive of outcomes on active surveillance, and thus may be a more relevant classification scheme in the modern era.

Stroke in Atrial Fibrillation and Other Atrial Dysrhythmias.

PURPOSE OF REVIEW: Atrial fibrillation (AF) is a major risk factor for systemic embolism and ischaemic stroke. Furthermore, AF-related strokes are associated with higher mortality, greater disability, longer hospital stays and lower rates of hospital discharge than strokes caused by other reasons. The aim of this review to summarise the existing evidence on the association of AF with ischemic stroke and provide insights on the pathophysiological mechanisms and the clinical management of patients with AF in order to reduce the burden of ischemic stroke. RECENT FINDINGS: Beyond Virchow's triad, several pathophysiological mechanisms associated with structural changes in the left atrium, which may precede the identification of AF, may contribute to the increased risk of arterial embolism in AF patients. Individualised thromboembolic risk stratification based on CHA2DS2-VASc score and clinically relevant biomarkers provides essential tool towards a personalised holistic approach in thromboembolism prevention. Anticoagulation remains the cornerstone of stroke prevention moving from vitamin K antagonists (VKA) to safer non-vitamin K direct oral anticoagulants in the majority of AF patients. Despite the efficacy and safety of oral anticoagulation, still the equilibrium between thrombosis and haemostasis in AF patients remains suboptimal and future directions in anticoagulation and cardiac intervention may provide novel treatment options in stroke prevention. This review summarises the pathophysiologic mechanisms of thromboembolism, aiming the current and potential future perspectives in stroke prevention in AF patients.

The importance of re-evaluating the risk score in heart failure patients: An analysis from the Metabolic Exercise Cardiac Kidney Indexes (MECKI) score database.

BACKGROUND: The role of risk scores in heart failure (HF) management has been highlighted by international guidelines. In contrast with HF, which is intrinsically a dynamic and unstable syndrome, all its prognostic studies have been based on a single evaluation. We investigated whether time-related changes of a well-recognized risk score, the MECKI score, added prognostic value. MECKI score is based on peak VO2, VE/VCO2 slope, Na+, LVEF, MDRD and Hb. METHODS: A multi-centre retrospective study was conducted involving 660 patients who performed MECKI re-evaluation at least 6 months apart. Based on the difference between II and I evaluation of MECKI values (MECKI II - MECKI I = ∆ MECKI) the study population was divided in 2 groups: those presenting a score reduction (∆ MECKI <0, i.e. clinical improvement), vs. patients presenting an increase (∆ MECKI >0, clinical deterioration). RESULTS: The prognostic value of MECKI score is confirmed also when re-assessed during follow-up. The group with improved MECKI (366 patients) showed a better prognosis compared to patients with worsened MECKI (294 patients) (p < 0.0001). At 1st evaluation, the two groups differentiated by LVEF, VE/VCO2 slope and blood Na+ concentration, while at 2nd evaluation they differentiated in all 6 parameters considered in the score. The patients who improved MECKI score, improved in all components of the score but hemoglobin, while patients who worsened the score, worsened all parameters. CONCLUSIONS: This study shows that re-assessment of MECKI score identifies HF subjects at higher risk and that score improvement or deterioration regards several MECKI score generating parameters confirming the holistic background of HF.

Risk stratification for early biochemical recurrence of prostate cancer in the era of multiparametric magnetic resonance imagining-targeted biopsy.

BACKGROUND: Multiparametric magnetic resonance imaging (MRI) and MRI-targeted biopsy are nowadays recommended in the prostate cancer (PCa) diagnostic pathway. Ploussard and Mazzone have integrated these tools into novel risk classification systems predicting the risk of early biochemical recurrence (eBCR) in PCa patients who underwent radical prostatectomy (RP). We aimed to assess available risk classification systems and to define the best-performing. METHODS: Data on 1371 patients diagnosed by MRI-targeted biopsy and treated by RP between 2014 and 2022 at eight European tertiary referral centers were analyzed. Risk classifications systems included were the European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) risk groups, the Cancer of the Prostate Risk Assessment (CAPRA) score, the International Staging Collaboration for Cancer of the Prostate (STAR-CAP) classification, the Ploussard and Mazzone models, and ISUP grade group. Kaplan-Meier analyses were used to compare eBCR among risk classification systems. Performance was assessed in terms of discrimination quantified using Harrell's c-index, calibration, and decision curve analysis (DCA). RESULTS: Overall, 152 (11%) patients had eBCR at a median follow-up of 31 months (interquartile range: 19-45). The 3-year eBCR-free survival rate was 91% (95% confidence interval [CI]: 89-93). For each risk classification system, a significant difference among survival probabilities was observed (log-rank test p < 0.05) except for NCCN classification (p = 0.06). The highest discrimination was obtained with the STAR-CAP classification (c-index 66%) compared to CAPRA score (63% vs. 66%, p = 0.2), ISUP grade group (62% vs. 66, p = 0.07), Ploussard (61% vs. 66%, p = 0.003) and Mazzone models (59% vs. 66%, p = 0.02), and EAU (57% vs. 66%, p < 0.001) and NCCN (57% vs. 66%, p < 0.001) risk groups. Risk classification systems demonstrated good calibration characteristics. At DCA, the CAPRA score showed the highest net benefit at a probability threshold of 9%-15%. CONCLUSIONS: The performance of risk classification systems using MRI and MRI-targeted information was less optimistic when tested in a contemporary set of patients. CAPRA score and STAR-CAP classification were the best-performing and should be preferred for treatment decision-making.

Predicting the risk of 7-day readmission in late preterm infants in California: A population-based cohort study.

Background and aims: The American Academy of Pediatrics describes late preterm infants, born at 34 to 36 completed weeks' gestation, as at-risk for rehospitalization and severe morbidity as compared to term infants. While there are prediction models that focus on specific morbidities, there is limited research on risk prediction for early readmission in late preterm infants. The aim of this study is to derive and validate a model to predict 7-day readmission. Methods: This is a population-based retrospective cohort study of liveborn infants in California between January 2007 to December 2011. Birth certificates, maintained by California Vital Statistics, were linked to a hospital discharge, emergency department, and ambulatory surgery records maintained by the California Office of Statewide Health Planning and Development. Random forest and logistic regression were used to identify maternal and infant variables of importance, test for association, and develop and validate a predictive model. The predictive model was evaluated for discrimination and calibration. Results: We restricted the sample to healthy late preterm infants (n = 122,014), of which 4.1% were readmitted to hospital within 7-day after birth discharge. The random forest model with 24 variables had better predictive ability than the 8 variable logistic model with c-statistic of 0.644 (95% confidence interval 0.629, 0.659) in the validation data set and Brier score of 0.0408. The eight predictors of importance length of stay, delivery method, parity, gestational age, birthweight, race/ethnicity, phototherapy at birth hospitalization, and pre-existing or gestational diabetes were used to drive individual risk scores. The risk stratification had the ability to identify an estimated 19% of infants at greatest risk of readmission. Conclusions: Our 7-day readmission predictive model had moderate performance in differentiating at risk late preterm infants. Future studies might benefit from inclusion of more variables and focus on hospital practices that minimize risk.