Citations

Background/Objectives: Both poor bone quality and paraspinal sarcopenia have been suggested as risk factors for proximal junctional kyphosis (PJK) at the upper instrumented vertebra (UIV) following long-segment thoracolumbar fusion. Methods: Adults ≥50 with a T1-6 UIV were identified, and data were gathered on pre- and postoperative spinopelvic parameters, bone quality (using Hounsfield units and vertebral bone quality score), and paraspinal cross-sectional area at L3 and the UIV. PJK was defined by a ≥10° increase in the proximal junctional angle. Cox regressions were performed to identify PJK risk factors; PJK was subdivided into types 1–3 based on the Yagi–Boachie classification. Results: In total, 15/76 patients (median age 66; 72.4% female) experienced PJK; 10 experienced type 1, 4 experienced type 2, and one experienced type 3. Univariable Cox regression showed that PJK was negatively correlated with total paraspinal muscle CSA at the UIV (HR 0.74/100 mm2; 95% CI [0.57, 0.6]; p = 0.02). Lower total paraspinal CSA at L3 (HR 0.94/100 mm2; p = 0.07) and higher postoperative global tilt (HR 1.03; p = 0.09) also trended toward significance. Similarly, type 1 PJK was predicted by smaller total paraspinal CSA at the UIV (HR 0.64/100 mm2; [0.45, 0.92]; p = 0.02). Paraspinal CSA was not predictive of type 2 PJK, but lower HU at the UIV and UIV + 1 trended toward significance (HR 0.98/unit; p = 0.16). A comparison of type 1 and 2 PJK showed a higher average of paraspinal CSA and a lower average of HU at the UIV. Conclusions: Global alignment and paraspinal sarcopenia were most predictive of PJK, though paraspinal sarcopenia was only predictive of type 1. Type 2 may be better predicted by bone quality.

BACKGROUND AND OBJECTIVES: Aggressive resection for primary tumors of the spine are associated with a high rate of adverse events (AEs), but the impact of AEs on patient-reported outcomes (PROs) remains unknown and is critical to the shared decision-making. Our primary objective was to assess the impact of surgical AEs on PROs using an international registry. Assessing the impact on clinical outcomes and identifying risk factors for AEs were our secondary objectives. METHODS: Patients who underwent surgery for a primary spinal tumor were selected through the Primary Tumor Research and Outcomes Network. Our primary outcome was the impact of AEs on PROs at 3 and 12 months after surgery (measured with Spinal Oncology Study Group Outcomes Questionnaire, Short-Form 36, and EuroQol 5 Dimension). We also assessed the impact on clinical outcomes (local control, surgical margins, readmission, reoperation, and mortality). We stratified our results according to severity of AEs, histology, and type of resection. RESULTS: 374 patients met inclusion criteria (219 males/155 females). The mean age of the cohort was 48.7 years. The most frequent histology was chordoma (37.3%) followed by chondrosarcoma (8.8%). Sixty-seven patients (17.9%) experienced at least 1 intraoperative AE and 117 patients (31.3%) had at least 1 postoperative AE within 3 months. Overall, 159 patients (42.5%) experienced AEs. The readmission rate was significantly higher in patients who experienced AEs (Any AE: 10.1% vs no AE: 1.9% within 3 months; P = <0.001). PROs were not significantly affected by AEs in most questionnaires. Local control, risk of reoperation, mortality, and achieving preplanned margins were similar between AE groups. CONCLUSION: The rate of surgical AEs is considerable in this population. Surgical AEs seem to be associated with a higher number of readmissions, but do not seem to result in significant differences in PROs or in a higher risk of reoperation, mortality, and failure to achieve preplanned margins.

Abstract Background: Prostate artery embolization (PAE) requires a careful understanding of pelvic arterial anatomy and identifying prostatic artery variants. Pre-procedure CTA and intra-procedural cone beam CT are traditional means of planning and performing PAE, with the latter providing guidance for embolization. Photon counting detector (PCD) CT is a novel technology enabling ultra-high spatial resolution (UHR) whole-body imaging, with reconstructed slices as thin as 200 um. For PAE, we obtain a single UHR PCD CT acquisition, which provides both detailed pre-procedure pelvic arterial anatomy information and a registration reference for intra-procedural embolization guidance. Case Presentation: In five patients who underwent technically successful PAE via a left transradial approach, the pre-procedure diagnostic UHR PCD prostate CTA delineated bilateral prostatic artery origins and course in all cases, as confirmed with conventional angiograms. Further, registration of the UHR PCD CT for embolization guidance was successful in all cases, augmenting vessel selection. No complication occurred. Conclusion: UHR PCD CT is a novel acquisition option that is well suited to PAE due to its ability to delineate small vessels. Further, our experience has shown that a single pre-procedure scan can also be utilized for intra-procedural embolization guidance, obviating the need for a traditional cone beam CT angiogram. Further research is needed to assess reductions in radiation dose, contrast use, and intra-procedural time with these techniques.

Abstract Background The COVID-19 pandemic has underscored challenges with patient adherence to medical directives, particularly vaccine acceptance. While sociodemographic factors have been linked to non-COVID-19 vaccine hesitancy, the relationships between patient experience, the COVID-19 pandemic, and adherence to routine vaccinations are uncertain.Figure 1:Yearly influenza vaccine refusal, influenza vaccine administrations, and overall patient satisfaction since establishing care with a primary care provider from 2017-2023.Panel A (Influenza Refusals): the number of vaccine refusals among individuals who are Intermittently Vaccinated and Never Vaccinated for seasonal influenza since establishing care with a primary care provider over time.Panel B (Influenza Vaccinations): the number of vaccines administered over time since establishing care with a primary care provider among those who are Always Vaccinated and Intermittently Vaccinated for seasonal influenza.Panel C (Overall Satisfaction): the number of patients who indicated that they were maximally satisfied with their overall care following any interaction with the healthcare system over time. Methods We retrospectively analyzed influenza vaccination records of adult primary care patients in Olmsted County, Minnesota. Vaccination history was examined during two phases: Pre-Pandemic (1/1/2017—2/28/2020) and Pandemic-Plus (3/1/2020—12/31/2023). Vaccination status was defined as “always vaccinated” (AV), “never vaccinated” (NV), or “intermittently missed years of vaccinations” (IV) for seasonal influenza. Patient dissatisfaction was determined if patients negatively ranked their overall quality of care on standard patient experience surveys. We explored the relationship between influenza vaccination rates, healthcare engagement, and patient satisfaction.Figure 2:Multinomial logistic regression of patient satisfaction on vaccination status across the phases of the COVID-19 Pandemic, adjusted for engagement in the health care system, participation, and area of deprivation index (ADI) for patients that were (A) intermittently vaccinated compared to always vaccinated and (B) never vaccinated comparted to always vaccinated. The “Pre-pandemic phase” refers to influenza immunization data and patient satisfaction data prior to March 2020. The “Pandemic-plus phase” refers to immunization data and patient satisfaction data from March 2020 to January 2024. Low ADI ranking refers to areas with a low level of deprivation, whereas high ADI ranking refers to areas with a high level of deprivation. Individuals were considered low if they came from an area with a state ADI ranking from 1 to 5 and were considered high if they came from an area with a state ADI ranking from 6 to 10. Results From 1/1/2017 to 12/31/2023, 21% of individuals were AV (n=36,632), 52% were IV (n=90,776), and 27% were NV (n=46,418) for seasonal influenza. Post-pandemic onset, 7% (n=3,556) of the Pre-Pandemic AV and 32% (n=16,710) of the Pre-Pandemic IV never received another influenza vaccine. In the Pandemic-Plus phase, the IV and NV had a higher likelihood of disengagement with the healthcare system [odds ratio (OR) (95% CI): 1.59 (1.55, 1.64); 4.21 (4.09, 4.33)], residing in areas of greater deprivation [1.58 (1.53, 1.62); 1.99 (1.94, 2.05)], and self-identifying their race as Black [2.29 (2.09, 2.51); 3.29 (3.01, 3.60)] compared to the AV. After adjusting for healthcare engagement and area of deprivation, dissatisfaction OR increased from 1.03 (0.99,1.07) Pre-Pandemic to 1.07 (1.03,1.12) in the Pandemic-Plus phase among IV compared to AV. Similarly, the OR of dissatisfaction rose from 1.11 (1.05, 1.18) Pre-Pandemic to 1.16 (1.09, 1.24) in the Pandemic-Plus phase among those who were NV compared to those AV. Conclusion Higher healthcare dissatisfaction was observed among those inconsistently adherent to vaccination recommendations. Targeted efforts to enhance patient satisfaction may boost vaccination rates. Disclosures All Authors: No reported disclosures

Abstract Background/Introduction Close monitoring of aortic stenosis (AS) by follow-up echocardiography is recommended by all Cardiology and Imaging Societies’ guidelines. Whether these guidelines are strictly followed is unknown. Purpose We aimed to describe our institution’s practice patterns for echocardiographic monitoring in patients with aortic sclerosis (AScl) and AS of any severity. Methods Adult patients residing in our institution’s county with an echocardiographic diagnosis of AScl or AS between 01/2005-01/2022 were identified and classified into 4 groups: AScl, mild AS, moderate AS, or severe AS, at each echocardiogram during the study timeframe. Kaplan Meier analyses were used to evaluate the composite outcome, the occurrence of follow-up echocardiogram or death. Patients were censored at the time of aortic valve replacement/repair, heart transplant, or last clinical follow-up. Guideline follow-up was considered appropriate when the primary outcome occurred by 5 years (AScl/mild AS), 2 years (moderate AS), and 1 year (severe AS). Results A total of 23,726 echocardiograms from 9,578 unique patients were included. At index echocardiogram, median patient age was 74 years (IQR 65-82) and 4,806 (50.2%) were women. AScl was observed in 7,358 (76.8%) cases, mild AS in 1,442 (15.1%) cases, moderate AS in 479 (5%), and severe AS in 301 (3.1%) cases. Rates of composite outcome achievement by the end of the guideline-recommended interval were 81%, 90%, 80%, and 72% in AScl, mild, moderate, and severe AS, respectively. Rates for men were 83%, 92%, 82%, and 75% in these groups, while rates for women were 78%, 88%, 78%, and 68%, respectively (Figure 1). Follow-up rates were similar before and after 2012 (when transcatheter aortic valve replacement was approved for treatment of severe AS in high-risk surgical patients in the USA). Follow-up rates were higher in patients managed by cardiovascular providers compared to non-cardiovascular providers (Figure 2). Conclusion Depending on disease severity, between one fourth and one tenth of patients remained alive and unfollowed at the end of their guideline-recommended surveillance interval. There is significant variability in echocardiogram monitoring based on sex and referring provider specialty. Figure 1 Figure 2

Abstract Background Transthoracic echocardiography is the primary modality used for the assessment of the pericardial space. Guidelines recommend semi-qualitative assessment of the size of a pericardial effusion with characterization as trace, small, moderate or large. The reproducibility and association of this characterization is variable. Whether simple 2D-based quantitative measures of effusion size better associate with pericardial volumes is unclear. An accurate measure of pericardial volume would be helpful for tracking patients over time. Purpose To test whether 2D-based measures of the pericardial space could accurately predict pericardial volumes. Methods We retrospectively assessed a series of echos performed immediately prior to pericardiocentesis. 2D-based area tracings from the parasternal long and short axis at the papillary muscle level as well as 2D volumetric tracings from the apical 4 chamber view using the Simpson's method were tested with the operator blinded to the true pericardial volume (recorded at pericardiocentesis). Patients who underwent pericardiocentesis in setting of acute perforation were excluded as were patients where pericardiocentesis was unsuccessful or incomplete. Pericardial fluid area or volume was calculated by taking the difference between the measures obtained by tracing the epicardial border of the heart and pericardium (figure 1). Results The median pericardiocentesis (n=118) fluid volume was 500 mL (IQR 350 – 750 mL) with a range, 95–2300 mL. The pericardial fluid was serous (22%), sero-sanguineous (37%) and sanguineous in 41%. The effusion was malignant in 24 cases and due to inflammation in 42 cases. Pericardial area traces from either the parasternal short (r=0.56, p&lt;.0001) or long axis (r=0.62, p&lt;.0001) correlated modestly with measured pericardial volume. The average volume estimated echocardiographically by the Simpson’s method was 580 ± 359 mL (range, 85.8–2419 mL). There was stronger linear correlation between echocardiographic (apical 4-chamber measurement) and pericardiocentesis-derived volumes (r=0.92, p &lt; 0.0001; figure 2A). Etiology of the pericardial effusion was not associated with estimates of pericardial volumes. There was a large overlap in pericardial volume amongst the reading physician qualitative grading of effusion size (figure 2B). Categorization of pericardial effusion size was improved when based on volumetric estimates (Kappa 0.65) rather than physician estimates (Kappa 0.32; Figure 2B). Variation between measured pericardial volume and actual pericardial volume was most related to the quality of the image and the likely extent to which the pericardial fluid was not entirely captured in the image window. Conclusion Two-dimensional transthoracic echocardiography using biplane Simpson’s method of disks can simply and reasonably accurately estimate the pericardial effusion volume. This technique may add value in the serial assessment of pericardial effusions. Figure 2

Abstract Background/Introduction Tricuspid valve regurgitation (TR) is a common valvular disease associated with increased mortality. There is a need for tools to assess the interaction between the pulmonary artery (PA) circulation and the right ventricle (RV) in patients with TR and to investigate their association with outcomes. Various echo parameters have emerged that assess RV-PA coupling, including the ratio of TAPSE to RV systolic pressure (RVSP) and the PA pulsatility index (PAPi). The effective PA elastance (PA Ea) is a composite measure of RV afterload that refers to the measure of the pulmonary vascular load that the RV must overcome to eject blood into the PA. PA Ea is simple to estimate by echo and found to be an independent haemodynamic risk measure in various left heart and pulmonary hypertension (PH) diseases. Whether PA Ea discriminates risk in unselected patients with significant TR and how it compares to other measures of RV-PA coupling is untested. Purpose To ascertain the prognostic value of PA Ea in patients with TR. Methods In consecutive patients with a first diagnosis of ≥ moderate TR (regardless of aetiology), we compared all-cause mortality at five years based on the PA Ea (defined as the RVSP/stroke volume as measured by transthoracic echocardiography). As stroke volume was measured by Doppler at the left ventricular (LV) outflow tract, patients with &gt; moderate aortic valve regurgitation were excluded. The Tricuspid Regurgitation Impact on Outcomes (TRIO) score was calculated as previously described. PA Ea was separated into 4 groups for comparison based on the separation of quartiles of PA Ea rounded to one decimal place. Results In the 13,608 patients studied, PA Ea could be calculated in 12,682 patients (94.4%). The median PA Ea was 0.68 mmHg/mL (IQR 0.50, 0.92). Increasing levels of PA Ea were associated with clinical comorbidities including heart failure, liver and kidney disease and clinical markers of risk such as the TRIO score. Increasing levels of PA Ea were also associated with larger RVs, worse RV systolic function, higher NT-pro BNP levels, and greater degrees of right heart failure (Table). Each quartile of PA Ea was associated with a significant increase in all-cause mortality (Figure). After adjusting for age and sex, PA Ea was associated with higher risk of death (HR 2.41 (2.28-2.56); p&lt;.0001). While worsening degrees of PA Ea correlated with both declining levels of TAPSE/PASP and PAPi (Table), PA Ea was independently predictive of outcome in a combined model: PA Ea HR 1.65 (1.51-1.80, Chi-squ 120, p&lt;.0001); PAPi HR 0.84 (0.80-0.89, Chi-squ 48, p&lt;.0001) and TAPSE/PASP HR 0.32 (017-0.60, Chi-squ 12, p=.0004). Conclusion(s) In patients with significant TR, PA Ea is highly feasible and higher PA Ea is progressively associated with RV dysfunction, right heart failure, and worse survival. Incorporating PA Ea into the routine echo assessment may help stratify disease severity in patients with significant TR. Table Assoc. of PA Ea with mortality in TR