Background: and Purpose In patients with ischemic stroke and isolated cervical internal carotid artery occlusion (c-ICA-O), endovascular therapy (EVT) can improve cerebral perfusion. To maintain vessel patency, EVT is frequently combined with carotid artery stenting (CAS). We assessed the efficacy and safety of emergent CAS during EVT for isolated c-ICA-O. Methods: This retrospective multinational cohort study (42 centers) included consecutive patients who underwent EVT for isolated c-ICA-O within 24 hours from the time last seen well. Patients who underwent emergent CAS were compared with those who did not. Co-primary outcomes were c-ICA vessel patency and symptomatic intracerebral hemorrhage (sICH) 24 hours post-EVT. Secondary outcomes included any intracerebral hemorrhage (ICH) at 24 hours and disability at 3 months (modified Rankin Scale [mRS] shift). Outcomes were adjusted using inverse probability of treatment weighting. Results: Of 317 patients (mean age, 68.6 years [standard deviation, 12.9]; median National Institutes of Health Stroke Scale 11 [interquartile range, 6–17]; 26.8% female), 219 (69.1%) underwent CAS, whereas 98 (30.9%) did not. At 24 hours, vessel patency was more common after CAS (83.5% vs. 40.7%; adjusted odds ratio [aOR], 9.45; 95% confidence interval [CI], 4.91–18.17); sICH rates did not differ (2.3% vs. 3.1%; aOR, 0.92; 95% CI, 0.18–4.73). Any ICH was more common after CAS (19.3% vs. 9.3%; aOR, 2.50; 95% CI, 1.12–5.60). CAS was not associated with mRS at 3 months (adjusted common odds ratio, 0.98; 95% CI, 0.62–1.56). Conclusions In patients undergoing EVT for isolated c-ICA-O, emergent CAS was technically effective and reasonably safe. More frequent vessel patency in patients who underwent CAS did not translate into improved functional outcome at 3 months.

Anti-neutrophil cytoplasmic antibody-associated vasculitides (AAV) are rare autoimmune disorders typically involving the lungs and kidneys. A few case reports have described an association with hematopoietic stem cell transplant (HSCT). We present a case of myeloperoxidase-positive AAV with predominant renal involvement in a 49-year-old male with a history of acute myeloid leukemia treated with allogenic HSCT and complicated by chronic graft-versus-host disease (GVHD). He presented with rapidly progressive glomerulonephritis, and kidney biopsy revealed pauci-immune necrotizing crescentic glomerulonephritis. Treatment with methylprednisolone pulses followed by oral prednisolone, rituximab, and plasmapheresis led to improved kidney function and a tailored rituximab maintenance regimen was followed. However, a renal-limited relapse occurred at 15 months, requiring repeat induction therapy. Dialysis was avoided, but renal function only partially recovered. This case suggests that AAV can develop after HSCT and GVHD and highlights the importance of long-term follow-up and further research into underlying mechanisms.

Objective: To determine the correlation between dentoskeletal parameters related to craniofacial morphology and the upper airway (UA) volume. Methods: Cone-beam computed tomography images of 106 randomly selected orthodontic patients were analyzed using NemoFab Ortho software. The dentoskeletal variables assessed were anterior facial height (AFH), posterior facial height (PFH), PFH/AFH ratio, hyoid position, maxillary width (MW), and palatal depth. The UA volume (evaluation in anatomical regions and as a whole) was also assessed using the same software. We also evaluated potential differences in UA variables between age and sex groups. The correlation between the dentoskeletal parameters and UA volume was calculated using the Pearson correlation coefficient (R). Analysis of variance and Student’s t test were performed to assess differences between age and sex for UA variables. Statistical analyses were performed using SPSS software (version 26 for Windows). Results: This study found that PFH, AFH, and MW were the dentoskeletal parameters most strongly correlated with UA volume. However, the ANB angle did not show any significant correlation with UA volume. Additionally, differences in UA volumes were observed between age groups. Sex differences were found in both the “8–12” and “≥ 16” age groups for oropharyngeal and pharyngeal volumes. Conclusions In conclusion, our findings indicate a significant correlation between UA volume and dentoskeletal parameters, particularly those related to facial height and MW.

Non-secretory multiple myeloma (NSMM) is a rare cancer of plasma cells characterized by the absence of detectable monoclonal M protein in the blood or urine. A 57-year-old woman presented with mandibular pain but without intraoral swelling. Imaging studies revealed multiple osteolytic lesions in her mandible and pronounced root resorption of the left mandibular second molar. Biopsy results showed atypical plasmacytoid cells positive for anti-kappa, CD138, MUM1, and CD79a antibodies, but negative for anti-lambda and CD20. These results were indicative of a malignant plasma cell neoplasm. No abnormalities were revealed by free light chain assay or by serum or urine protein electrophoresis, leading to a diagnosis of NSMM. The patient began chemotherapy in conjunction with bisphosphonate therapy and achieved remission following treatment. This case underscores the critical role of dentists in the early detection and prevention of NSMM complications, as the disease can initially present in the oral cavity.

Objective: To determine the correlation between dentoskeletal parameters related to craniofacial morphology and the upper airway (UA) volume. Methods: Cone-beam computed tomography images of 106 randomly selected orthodontic patients were analyzed using NemoFab Ortho software. The dentoskeletal variables assessed were anterior facial height (AFH), posterior facial height (PFH), PFH/AFH ratio, hyoid position, maxillary width (MW), and palatal depth. The UA volume (evaluation in anatomical regions and as a whole) was also assessed using the same software. We also evaluated potential differences in UA variables between age and sex groups. The correlation between the dentoskeletal parameters and UA volume was calculated using the Pearson correlation coefficient (R). Analysis of variance and Student’s t test were performed to assess differences between age and sex for UA variables. Statistical analyses were performed using SPSS software (version 26 for Windows). Results: This study found that PFH, AFH, and MW were the dentoskeletal parameters most strongly correlated with UA volume. However, the ANB angle did not show any significant correlation with UA volume. Additionally, differences in UA volumes were observed between age groups. Sex differences were found in both the “8–12” and “≥ 16” age groups for oropharyngeal and pharyngeal volumes. Conclusions In conclusion, our findings indicate a significant correlation between UA volume and dentoskeletal parameters, particularly those related to facial height and MW.

Objective: To determine the correlation between dentoskeletal parameters related to craniofacial morphology and the upper airway (UA) volume. Methods: Cone-beam computed tomography images of 106 randomly selected orthodontic patients were analyzed using NemoFab Ortho software. The dentoskeletal variables assessed were anterior facial height (AFH), posterior facial height (PFH), PFH/AFH ratio, hyoid position, maxillary width (MW), and palatal depth. The UA volume (evaluation in anatomical regions and as a whole) was also assessed using the same software. We also evaluated potential differences in UA variables between age and sex groups. The correlation between the dentoskeletal parameters and UA volume was calculated using the Pearson correlation coefficient (R). Analysis of variance and Student’s t test were performed to assess differences between age and sex for UA variables. Statistical analyses were performed using SPSS software (version 26 for Windows). Results: This study found that PFH, AFH, and MW were the dentoskeletal parameters most strongly correlated with UA volume. However, the ANB angle did not show any significant correlation with UA volume. Additionally, differences in UA volumes were observed between age groups. Sex differences were found in both the “8–12” and “≥ 16” age groups for oropharyngeal and pharyngeal volumes. Conclusions In conclusion, our findings indicate a significant correlation between UA volume and dentoskeletal parameters, particularly those related to facial height and MW.