Objective: There is increased use of 3-dimensional (3D)-printing for manufacturing of interbody cages to create microscale surface features that promote bone formation. Those features may be vulnerable to abrasion and/or delamination during cage impaction. Our objective was to quantify loss of mass and changes in surface topography of 3D-printed titanium interbody cages due to surgical impaction. Methods: Eight surfaces of four 3D-printed titanium modular interbody fusion cages were tested. The cages were impacted into the Sawbones model with compression preload of either 200N or 400N using a guided 1-lb (0.45 kg) drop weight. Mass and surface roughness parameters of each endplate were recorded and compared for differences. Results: Significant weight loss was observed for the superior endplate group and for both 200N and 400N preloads. For pooled data comparison, significant postimpaction decreases were observed for mean roughness, root-mean-squared roughness, mean roughness depth, and total height of roughness profile. No significant differences were observed for profile skewness and kurtosis. There were significant changes in almost all roughness parameters in the anterior region of the cage postimpaction with significant changes in 2 out of 6 parameters in the middle, posterior, and central regions postimpaction. Conclusion Three-dimensional-printed titanium interbody fusion cages underwent loss of mass and alteration in surface topography during benchtop testing replicating physiologic conditions. There was an endplate- and region-specific postimpaction change in roughness parameters. The anterior surface experienced the largest change in surface parameters postimpaction. Our results have implications for future cage design and pre-approval testing of 3D-printed implants.

Objective: There is increased use of 3-dimensional (3D)-printing for manufacturing of interbody cages to create microscale surface features that promote bone formation. Those features may be vulnerable to abrasion and/or delamination during cage impaction. Our objective was to quantify loss of mass and changes in surface topography of 3D-printed titanium interbody cages due to surgical impaction. Methods: Eight surfaces of four 3D-printed titanium modular interbody fusion cages were tested. The cages were impacted into the Sawbones model with compression preload of either 200N or 400N using a guided 1-lb (0.45 kg) drop weight. Mass and surface roughness parameters of each endplate were recorded and compared for differences. Results: Significant weight loss was observed for the superior endplate group and for both 200N and 400N preloads. For pooled data comparison, significant postimpaction decreases were observed for mean roughness, root-mean-squared roughness, mean roughness depth, and total height of roughness profile. No significant differences were observed for profile skewness and kurtosis. There were significant changes in almost all roughness parameters in the anterior region of the cage postimpaction with significant changes in 2 out of 6 parameters in the middle, posterior, and central regions postimpaction. Conclusion Three-dimensional-printed titanium interbody fusion cages underwent loss of mass and alteration in surface topography during benchtop testing replicating physiologic conditions. There was an endplate- and region-specific postimpaction change in roughness parameters. The anterior surface experienced the largest change in surface parameters postimpaction. Our results have implications for future cage design and pre-approval testing of 3D-printed implants.

Objective: There is increased use of 3-dimensional (3D)-printing for manufacturing of interbody cages to create microscale surface features that promote bone formation. Those features may be vulnerable to abrasion and/or delamination during cage impaction. Our objective was to quantify loss of mass and changes in surface topography of 3D-printed titanium interbody cages due to surgical impaction. Methods: Eight surfaces of four 3D-printed titanium modular interbody fusion cages were tested. The cages were impacted into the Sawbones model with compression preload of either 200N or 400N using a guided 1-lb (0.45 kg) drop weight. Mass and surface roughness parameters of each endplate were recorded and compared for differences. Results: Significant weight loss was observed for the superior endplate group and for both 200N and 400N preloads. For pooled data comparison, significant postimpaction decreases were observed for mean roughness, root-mean-squared roughness, mean roughness depth, and total height of roughness profile. No significant differences were observed for profile skewness and kurtosis. There were significant changes in almost all roughness parameters in the anterior region of the cage postimpaction with significant changes in 2 out of 6 parameters in the middle, posterior, and central regions postimpaction. Conclusion Three-dimensional-printed titanium interbody fusion cages underwent loss of mass and alteration in surface topography during benchtop testing replicating physiologic conditions. There was an endplate- and region-specific postimpaction change in roughness parameters. The anterior surface experienced the largest change in surface parameters postimpaction. Our results have implications for future cage design and pre-approval testing of 3D-printed implants.

Background and Objectives: Hospital readmissions serve as a significant negative prognostic indicator and have a considerable impact on healthcare utilization among individuals diagnosed with heart failure with preserved ejection fraction (HFpEF). For our study, we aimed to elucidate predictors and trends of HFpEF readmissions within a 30-day period. Methods: The Healthcare Cost and Utilization Project National Readmission Database (NRD) was queried between 2016–2020 to study the 30-day all-cause hospital readmission rate, predictors, duration of hospital stay, and the overall cost of hospitalization. Multivariate/univariate logistic and linear regression analysis were used to analyze the outcomes and adjust for possible confounders. Results: A total of 3,831,156 index hospitalizations for acute decompensated HFpEF were identified between the years 2016–2020, of which 673,844 (18.4%) patients were readmitted within 30 days. The 30-day all-cause readmissions increased significantly from 17.4% to 19.9% (p<0.001) in the 5-year trend analysis. The most common cardiovascular cause for readmission was hypertensive heart disease with chronic kidney disease stage 1–4 (13.2%). Independent predictors associated with increased rate of readmissions were patients that left against medical advice (adjusted odds ratio [aOR], 2.06; 95% confidence interval [CI], 1.99–2.14; p<0.001), cirrhosis (aOR, 1.33; 95% CI, 1.30–1.36; p<0.001), and chronic obstructive pulmonary disease (aOR, 1.27;95% CI, 1.25–1.29; p<0.001). Conclusions Nearly 1 in 5 patients with acute decompensated HFpEF were readmitted within 30 days (2016–2020), with readmissions rising over time. Identifying at-risk patients is crucial to reducing readmissions and costs.