Concordance of Pericardial Effusion Size Between Computed Tomography and Echocardiography.

Discrepancy between computed tomography (CT) and transthoracic echocardiography (TTE) regarding pericardial effusion (PEff) size is common, but there is limited data regarding the correlation between these 2 imaging methods. The aim of this study is to examine the real-world concordance of observed PEff size between CT and TTE. We performed a retrospective analysis of all imaging reports available from 2013 to 2019 and identified patients with a PEff who underwent both a chest CT and TTE within a 24-hour period. We evaluated the agreement between CT and TTE in assessing PEff size. Of 1,118 patients included in the study, mean age was 66 (±17 years) and 54% were female. The median time interval between the 2 studies was 9.4 hours (interquartile range 3.5 to 16.6). Patients within a half-grade or full-grade of agreement were 71.9% and 97.2%, respectively. The mean difference in grade of agreement (TTE minus CT) between the 2 imaging methods was -0.1 (±0.6, p <0.0001). CT was more likely to report a higher grade (i.e. larger PEff size) when compared with TTE (261 patients vs 157 patients, p <0.001). The weighted kappa was 0.73 (95% confidence interval 0.69 to 0.76). After excluding patients with trace/no effusion, 42.3% and 94.1% of patients' studies were within a half-grade or full-grade of agreement, respectively. Of the 18 patients who had large discrepancies, 9 patients had loculated effusions, 2 patients had large pleural effusions, and 6 patients had suboptimal TTEs images. In conclusion, TTE and CT showed relatively strong agreement in estimation of PEff size, with CT sizes larger than TTE, on average. Large discrepancies in size may be related to reduced image quality, large pleural effusions, and loculated PEff.

Risk factors for incomplete telehealth appointments among patients with inflammatory bowel disease.

Background: The COVID-19 pandemic led to the urgent implementation of telehealth visits in inflammatory bowel disease (IBD) care; however, data assessing feasibility remain limited. Objectives: We looked to determine the completion rate of telehealth appointments for adults with IBD, as well as to evaluate demographic, clinical, and social predictors of incomplete appointments. Design: We conducted a retrospective analysis of all patients with IBD who had at least one scheduled telehealth visit at the NYU IBD Center between 1 March 2020 and 31 August 2021, with only the first scheduled telehealth appointment considered. Methods: Medical records were parsed for relevant covariables, and multivariable logistic regression was used to estimate the adjusted association between demographic factors and an incomplete telehealth appointment. Results: From 1 March 2020 to 31 August 2021, there were 2508 patients with IBD who had at least one telehealth appointment, with 1088 (43%) having Crohn's disease (CD), 1037 (41%) having ulcerative colitis (UC), and 383 (15%) having indeterminate colitis. Of the initial telehealth visits, 519 (21%) were not completed, including 435 (20%) among patients <60 years as compared to 84 (23%) among patients ⩾60 years (p = 0.22). After adjustment, patients with CD had higher odds of an incomplete appointment as compared to patients with UC [adjusted odds ratio (adjOR): 1.37, 95% confidence interval (CI): 1.10-1.69], as did females (adjOR: 1.26, 95% CI: 1.04-1.54), and patients who had a non-first-degree relative listed as an emergency contact (adjOR: 1.69, 95% CI: 1.16-2.44). While age ⩾60 years was not associated with appointment completion status, we did find that age >80 years was an independent predictor of missed telehealth appointments (adjOR: 2.92, 95% CI: 1.12-7.63) when compared to individuals aged 60-70 years. Conclusion: Patients with CD, females, and those with less social support were at higher risk for missed telehealth appointments, as were adults >80 years. Engaging older adults via telehealth, particularly those aged 60-80 years, may therefore provide an additional venue to complement in-person care.

Demographic predictors of nonHDL-C increase during COVID-19 pandemic stay-at-home period.

The onset of the coronavirus 2019 (COVID-19) pandemic prompted unique public health measures including stay-at-home (SAH) orders that provoked altered dietary and exercise patterns and may have affected medication access and use. Although these impacts have the potential to influence lipid levels, little is known of the consequences of COVID-19 SAH on objective atherosclerotic cardiovascular disease (ASCVD) risk factors. We performed a patient-level analysis of the primary measure of atherogenic lipid-associated risk, nonHDL-C during the 2020 SAH period and the same time period in 2019, in patients within a large health system in New York City. We found that women and racial and ethnic minority group members were more likely to exhibit substantial worsening of atherogenic lipid profile (≥38 mg/dL increase in nonHDL-C) during this period. Our results suggest that the pandemic and subsequent public health measures may have produced unintended negative consequences on already at-risk groups.

Treatment with therapeutic anticoagulation is not associated with immunotherapy response in advanced cancer patients.

BACKGROUND: Recent preclinical data suggest that there may be therapeutic synergy between immune checkpoint blockade and inhibition of the coagulation cascade. Here, we investigate whether patients who received immune checkpoint inhibitors (ICI) and were on concomitant anticoagulation (AC) experienced better treatment outcomes than individuals not on AC.Affiliation: Kindly confirm if corresponding authors affiliation is identified correctly.The corresponding author's affiliation is correct. METHODS: We studied a cohort of 728 advanced cancer patients who received 948 lines of ICI at NYU (2010-2020). Patients were classified based on whether they did (n = 120) or did not (n = 828) receive therapeutic AC at any point during their treatment with ICI. We investigated the relationship between AC status and multiple clinical endpoints including best overall response (BOR), objective response rate (ORR), disease control rate (DCR), progression free survival (PFS), overall survival (OS), and the incidence of bleeding complications.Affiliations: Journal instruction requires a country for affiliations; however, this is missing in affiliations 1 to 5. Please verify if the provided country is correct and amend if necessary.The country is correct for all affiliations (1 - 5). RESULTS: Treatment with AC was not associated with significantly different BOR (P = 0.80), ORR (P =0.60), DCR (P =0.77), PFS (P = 0.59), or OS (P =0.64). Patients who received AC were significantly more likely to suffer a major or clinically relevant minor bleed (P = 0.05). CONCLUSION: AC does not appear to impact the activity or efficacy of ICI in advanced cancer patients. On the basis of our findings, we caution that there is insufficient evidence to support prospectively evaluating the combination of AC and immunotherapy.

Baseline prognostic nutritional index and changes in pretreatment body mass index associate with immunotherapy response in patients with advanced cancer.

BACKGROUND: Recent research suggests that baseline body mass index (BMI) is associated with response to immunotherapy. In this study, we test the hypothesis that worsening nutritional status prior to the start of immunotherapy, rather than baseline BMI, negatively impacts immunotherapy response. METHODS: We studied 629 patients with advanced cancer who received immune checkpoint blockade at New York University. Patients had melanoma (n=268), lung cancer (n=128) or other primary malignancies (n=233). We tested the association between BMI changes prior to the start of treatment, baseline prognostic nutritional index (PNI), baseline BMI category and multiple clinical end points including best overall response (BOR), objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS) and overall survival (OS). RESULTS: Decreasing pretreatment BMI and low PNI were associated with worse BOR (p=0.04 and p=0.0004), ORR (p=0.01 and p=0.0005), DCR (p=0.01 and p<0.0001), PFS (p=0.02 and p=0.01) and OS (p<0.001 and p<0.001). Baseline BMI category was not significantly associated with any treatment outcomes. CONCLUSION: Standard of care measures of worsening nutritional status more accurately associate with immunotherapy outcomes than static measurements of BMI. Future studies should focus on determining whether optimizing pretreatment nutritional status, a modifiable variable, leads to improvement in immunotherapy response.