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ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO Guidelines Methodology Manual . ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by providers and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases, or stages of diseases. Guidance is based on review and analysis of relevant literature, and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and 2 (online only) for more. PURPOSE To provide evidence-based guidance to oncology clinicians, patients, nonprofessional caregivers, and palliative care clinicians to update the 2016 ASCO guideline on the integration of palliative care into standard oncology for all patients diagnosed with cancer. METHODS ASCO convened an Expert Panel of medical, radiation, hematology-oncology, oncology nursing, palliative care, social work, ethics, advocacy, and psycho-oncology experts. The Panel conducted a literature search, including systematic reviews, meta-analyses, and randomized controlled trials published from 2015-2023. Outcomes of interest included quality of life (QOL), patient satisfaction, physical and psychological symptoms, survival, and caregiver burden. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS The literature search identified 52 relevant studies to inform the evidence base for this guideline. RECOMMENDATIONS Evidence-based recommendations address the integration of palliative care in oncology. Oncology clinicians should refer patients with advanced solid tumors and hematologic malignancies to specialized interdisciplinary palliative care teams that provide outpatient and inpatient care beginning early in the course of the disease, alongside active treatment of their cancer. For patients with cancer with unaddressed physical, psychosocial, or spiritual distress, cancer care programs should provide dedicated specialist palliative care services complementing existing or emerging supportive care interventions. Oncology clinicians from across the interdisciplinary cancer care team may refer the caregivers (eg, family, chosen family, and friends) of patients with cancer to palliative care teams for additional support. The Expert Panel suggests early palliative care involvement, especially for patients with uncontrolled symptoms and QOL concerns. Clinicians caring for patients with solid tumors on phase I cancer trials may also refer them to specialist palliative care. Additional information is available at www.asco.org/supportive-care-guidelines .

AbstractSeveral tools exist for assessing frailty in multiple myeloma (MM), but most are based on clinical trial datasets. In this study, we evaluate the prognostic impact of frailty based on the cumulative deficit frailty index (FI), and the prognostic impact of relationship and socioeconomic status (SES) in newly diagnosed MM patients. This is a retrospective study including 515 patients with MM seen at Mayo Clinic (Rochester, MN) at diagnosis between 2005–2018. The FI was calculated using patient-reported data on activities of daily living and comorbidity data. Items were scored as 0/0.5/1, with 1 indicating deficit. The FI was calculated by adding individual scores and dividing that by the number of non-missing items. Frailty was defined as FI ≥ 0.15; 61% were non-frail and 39% were frail. Frailty and non-married/relationship status were associated with higher disease stage, decreased likelihood of early transplantation, and independently associated with decreased survival. SES was not independently associated with survival. Frail patients reported worse scores for fatigue, pain, and quality of life. In conclusion, a cumulative deficit FI was associated with higher symptom burden and decreased survival in a real-world cohort of newly diagnosed MM patients. Social support has prognostic value and should be assessed in clinical practice.

The COVID-19 pandemic caused tremendous disruption to the U.S. healthcare system and nearly crippled some hospitals during large patient surges. Limited ICU beds across the country further exacerbated these challenges. Telemedicine, specifically tele-critical care (TCC), can expand a hospital’s clinical capabilities through remote expertise and increase capacity by offloading some monitoring to remote teams. Unfortunately, the rapid deployment of telemedicine, especially TCC, is constrained by multiple barriers. In the summer of 2020, to support the National Emergency Tele-Critical Care Network (NETCCN) deployment, more than 50 national leaders in applying telemedicine technologies to critical care assembled to provide their opinions about barriers to NETCCN implementation and strategies to overcome them. Through consensus, these experts developed white papers that formed the basis of this article. Herein, the authors share their experience and propose multiple solutions to barriers presented by laws, local policies and cultures, and individual perspectives according to a minimum, better, best paradigm for TCC delivery in the setting of a national disaster. Cross-state licensure and local privileging of virtual experts were identified as the most significant barriers to rapid deployment of services, whereas refining the model of TCC to achieve the best outcomes and defining the best financial model is the most significant for long-term success. Ultimately, we conclude that a rapidly deployable national telemedicine response system is achievable.

IntroductionNasal valve compromise is a common issue for patients presenting to an otolaryngologist. Anatomically, the dorsal septal cartilage (DSA) articulates with the upper lateral nasal cartilage (ULC). When the ULC weakens, it is prone to collapse and may result in nasal obstruction. Our objectives were to analyze histological differences between quadrangular and DSA nasal cartilages and compare histological composition of these tissues among patients with diagnosis of nasal valve compromise (NVC) versus those without NVC (no NVC).MethodsProspective cross‐sectional study of nasal cartilages from seventy‐three (73) live donors. Quadrangular cartilage (QC), and DSA from patients undergoing septorhinoplasty were collected. Safranin O histochemical staining was used to observe glycosaminoglycans (GAGs) content and cell count. Masson's Trichrome staining was used to assess collagen content in these nasal cartilages.ResultsMean GAG content was lower in DSA compared with QUAD cartilage (68.18% vs. 87.22%, p < 0.0001), and was lowest in DSA of patients with NVC (59.07%). Mean collagen content was higher in DSA compared with QUAD cartilage, (65.43% vs. 46.65%, p = 0.0002), and was highest in DSA of patients with NVC (74.86%).ConclusionThe DSA showed decreased GAG and increased collagen content compared with quadrangular cartilage. Within the DSA subsite, patients with presurgical NVC had the lowest GAG and highest collagen levels. This observation suggests that the biochemical composition of the DSA may contribute to its weakening, potentially resulting in its inability to withstand minor trauma and/or the effects of aging, ultimately leading to NVC.Level of EvidenceN/A Laryngoscope, 134:4252–4258, 2024

Background: Patients with isolated anterior cruciate ligament (ACL) reconstruction have demonstrated an increased risk of ACL graft failure and lower patient-reported outcome (PRO) scores when increased posterior tibial slope (PTS) is present. However, there is a paucity of literature evaluating the effect of PTS on outcomes after combined bicruciate multiligamentous knee reconstruction. Purpose: To determine whether differences exist for graft failure rates or PRO scores based on PTS after combined bicruciate multiligamentous knee reconstruction. Study Design: Cohort study; Level of evidence, 3. Methods: All patients who underwent combined ACL and posterior cruciate ligament (PCL) reconstruction between 2000 and 2020 at our institution were identified. Exclusion criteria were age <18 years, knee dislocation grade 5 injuries, concomitant osteotomy procedures, and <2 years of clinical follow-up. Demographic and outcomes data were collected from our prospectively gathered multiligamentous knee injury database. Lysholm and International Knee Documentation Committee (IKDC) scores were analyzed in relation to PTS. Outcomes were compared for patients with a PTS above and below the mean for the total cohort, PTS >12° versus <12°, positive versus negative Lachman test at follow-up, and positive versus negative posterior drawer test at follow-up. Results: A total of 98 knees in 98 patients were included in the study, with a mean clinical follow-up of 5.1 years (median, 4.6 years; range, 2-16 years). The mean PTS was 8.7° (range, 0.4°-16.9°). Linear regression analysis showed no significant correlation between PTS and IKDC or Lysholm scores. Patients with a PTS above the mean of 8.7° trended toward lower IKDC ( P = .08) and Lysholm ( P = .06) scores. Four patients experienced ACL graft failure and 5 patients experienced PCL graft failure. There were no differences in graft failure rates or PRO scores for patients with a PTS >12°. Patients with a positive Lachman test trended toward higher PTS (9.6° vs 8.5°, P = .15). Conclusion: In this series of bicruciate multiligamentous knee reconstructions at midterm follow-up, no differences in graft failures, complications, reoperations, revisions, or PRO scores based on PTS were identified. Patients with a positive Lachman test were found to have a slightly higher PTS, although this did not reach statistical significance.

Abstract Rationale Inhibition of aromatase with anastrozole reduces pulmonary hypertension in experimental models. Objectives We aimed to determine whether anastrozole improved the 6-minute-walk distance (6MWD) at 6 months in pulmonary arterial hypertension (PAH). Methods We performed a randomized, double-blind, placebo-controlled phase II clinical trial of anastrozole in subjects with PAH at seven centers. Eighty-four postmenopausal women with PAH and men with PAH were randomized in a 1:1 ratio to receive anastrozole 1 mg or placebo by mouth daily, stratified by sex using permuted blocks of variable sizes. All subjects and study staff were masked. The primary outcome was the change from baseline in 6MWD at 6 months. By intention-to-treat analysis, we estimated the treatment effect of anastrozole using linear regression models adjusted for sex and baseline 6MWD. Assuming 10% loss to follow-up, we anticipated having 80% power to detect a difference in the change in 6MWD of 22 meters. Measurements and Main Results Forty-one subjects were randomized to placebo and 43 to anastrozole, and all received the allocated treatment. Three subjects in the placebo group and two in the anastrozole group discontinued the study drug. There was no significant difference in the change in 6MWD at 6 months (placebo-corrected treatment effect, −7.9 m; 95% confidence interval, −32.7 to 16.9; P = 0.53). There was no difference in adverse events between the groups. Conclusions Anastrozole did not show a significant effect on 6MWD compared with placebo in postmenopausal women with PAH and in men with PAH. Anastrozole was safe and did not have adverse effects. Clinical trial registered with www.clincialtrials.gov (NCT03229499).

AbstractSmoldering multiple myeloma (SMM) is a precursor stage that precedes multiple myeloma (MM). SMM is heterogenous with nearly 40% of patients progressing to MM in the first 5 years. The high rate of progression of SMM patients highlights the need for early intervention, which underscores the importance of identifying SMM patients with the highest risk of progression. Several risk stratification models showed utility in identifying high‐risk SMM patients; however, these systems showed limited sensitivity. To date, identifying high‐risk SMM patients remains an important clinical need. In this study, we present the 3‐dimensional telomere profiling as a structural biomarker capable of stratifying SMM patients as a function of genomic instability. Quantifying telomere dysfunction using the TeloView technology showed utility in risk stratification of cancer patients, particularly hematological malignancies. In this study, we analyzed 168 SMM patients. We report an AUC in ROC analysis of 0.8 using a subset of the patients as a training dataset. We then conducted a blind validation on a different cohort and demonstrated a positive predictive value of 85% and negative predictive value of 73%, with sensitivity and specificity of 83% and 76%, respectively. We examined the correlation between the TeloView prediction and the 20‐2‐20 scoring system, and cytogenetic abnormalities. We report a correlation of 53% with the 20‐2‐20 scores and over 60% correlation with cytogenetic abnormalities. The result of this study presents the telomere profiling as an effective biomarker able to stratify SMM patients to their respective risk groups with high sensitivity and specificity.

Objectives: In hemodialysis patients, central hemodynamics, stiffness, and wave reflections assessed through ambulatory blood pressure monitoring (ABPM) showed superior prognostic value for cardiovascular (CV) events than peripheral blood pressures (BPs). No such evidence is available for lower-risk hypertensive patients. Methods: In 591 hypertensive patients (mean age 58 ± 14 years, 49% males), ambulatory brachial and central BP, pulse wave velocity (PWV), and augmentation index (AIx) were obtained with a validated upper arm cuff-based pulse wave analysis technology. Information on treatment for hypertension (73% of patients), dyslipidemia (27%), diabetes (8%), CV disease history (25%), was collected. Patients were censored for CV events or all-cause death over 4.2 years. Results: One hundred and four events (24 fatal) were recorded. Advanced age [hazard ratio and 95% confidence interval: 1.03 (1.01, 1.05), P = 0.0001], female sex [1.57 (1.05, 2.33), P = 0.027], CV disease [2.22 (1.50, 3.29), P = 0.0001], increased 24-h central pulse pressure (PP) [1.56 (1.05, 2.31), P = 0.027], PWV [1.59 (1.07, 2.36), P = 0.022], or AIx [1.59 (1.08, 2.36), P = 0.020] were significantly associated with a worse prognosis (univariate Cox regression analysis). The prognostic power of peripheral and central BPs was lower. However, PWV [1.02 (0.64, 1.63), P = 0.924], AIx [1.06 (0.66, 1.69), P = 0.823], and central PP [1.18 (0.76, 1.82), P = 0.471], were not significant predictors in multivariate analyses. Conclusions: In hypertensive patients, ambulatory central PP, PWV, and AIx are associated with an increased risk of CV morbidity and all-cause mortality. However, this association is not independent of other patient characteristics.