Purpose: We identified the risk factors for remnant gastric cancer (RGC) based on remnant gastric mucosal characteristics and gastritis morphology in patients undergoing distal gastrectomy. Materials and Methods: This multicenter retrospective study included 100 patients with RGC after distal gastrectomy and 550 patients without RGC treated between 2013 and 2020.Endoscopic findings, including anastomotic redness, red streaks, enlarged folds, bile reflux as anastomotic findings, as well as disappearance of the regular arrangement of collecting venules (RAC), atrophic gastritis, and intestinal metaplasia as background gastric mucosal findings, were evaluated. Disease risk score matching (1:1) was adjusted for baseline characteristics. Logistic regression analysis was used to develop a risk score model to stratify RGC risk into low, moderate, and high categories. Results: After matching, 96 patients with RGC and 96 controls were analyzed. Anastomotic redness and red streaks, as well as the disappearance of RAC and atrophic gastritis, were significantly more frequent in the RGC group than in the control group, whereas enlarged folds and bile reflux showed no significant differences. Risk scores were assigned as follows:anastomotic redness, 2; red streaks, 3; disappearance of RAC, 7; and atrophic gastritis, 3. The total score stratified patients into high (≥15), moderate (7–14), and low risk (≤6). The positive and negative predictive values were 67.7% and 83.3%, respectively. Conclusions The endoscopic findings of anastomotic redness, red streaks, RAC disappearance, and atrophic gastritis were significantly associated with RGC development.The proposed risk-scoring model could serve as a stratification tool for RGC surveillance.

Purpose: Romosozumab reportedly increases bone density in patients with severe osteoporosis; however, data on its clinical effects are limited. We conducted a multicenter retrospective survey to study the bone density-increasing effects of romosozumab and blood test-based predictive factors in patients with severe osteoporosis, examining its effects in clinical practice. Materials and Methods: This was a multicenter retrospective observational study. The subjects were patients with severe osteoporosis who were treated with romosozumab at the participating facilities. The increase in bone density was assessed by comparing bone density changes (as a percentage) in the lumbar spine, femoral neck, and total femur before and 12 months after administration using dual-energy X-ray absorptiometry. The association between changes in bone density at each site and pre-treatment bone metabolism markers (Tracp 5b, P1NP), serum calcium levels, nutritional status [Conut score: albumin, total cholesterol (TCho), and total lymphocyte count], and kidney function (eGFR) was assessed. Results: In both naïve patients and those switching from bone resorption inhibitors, the bone density increased significantly. In naïve patients, eGFR were positively associated with bone density in the total femur. In cases of switching from bone resorption inhibitors, correlations were found between Tracp 5b and lumbar spine bone mineral density (BMD), as well as between Tracp 5b, Alb, T-Cho, and eGFR in the total femur BMD. Conclusion Romosozumab administration significantly increases bone density in osteoporosis, and assessing key predictive factors is necessary to ensure clinical effectiveness.

Purpose: Romosozumab reportedly increases bone density in patients with severe osteoporosis; however, data on its clinical effects are limited. We conducted a multicenter retrospective survey to study the bone density-increasing effects of romosozumab and blood test-based predictive factors in patients with severe osteoporosis, examining its effects in clinical practice. Materials and Methods: This was a multicenter retrospective observational study. The subjects were patients with severe osteoporosis who were treated with romosozumab at the participating facilities. The increase in bone density was assessed by comparing bone density changes (as a percentage) in the lumbar spine, femoral neck, and total femur before and 12 months after administration using dual-energy X-ray absorptiometry. The association between changes in bone density at each site and pre-treatment bone metabolism markers (Tracp 5b, P1NP), serum calcium levels, nutritional status [Conut score: albumin, total cholesterol (TCho), and total lymphocyte count], and kidney function (eGFR) was assessed. Results: In both naïve patients and those switching from bone resorption inhibitors, the bone density increased significantly. In naïve patients, eGFR were positively associated with bone density in the total femur. In cases of switching from bone resorption inhibitors, correlations were found between Tracp 5b and lumbar spine bone mineral density (BMD), as well as between Tracp 5b, Alb, T-Cho, and eGFR in the total femur BMD. Conclusion Romosozumab administration significantly increases bone density in osteoporosis, and assessing key predictive factors is necessary to ensure clinical effectiveness.

Purpose: Romosozumab reportedly increases bone density in patients with severe osteoporosis; however, data on its clinical effects are limited. We conducted a multicenter retrospective survey to study the bone density-increasing effects of romosozumab and blood test-based predictive factors in patients with severe osteoporosis, examining its effects in clinical practice. Materials and Methods: This was a multicenter retrospective observational study. The subjects were patients with severe osteoporosis who were treated with romosozumab at the participating facilities. The increase in bone density was assessed by comparing bone density changes (as a percentage) in the lumbar spine, femoral neck, and total femur before and 12 months after administration using dual-energy X-ray absorptiometry. The association between changes in bone density at each site and pre-treatment bone metabolism markers (Tracp 5b, P1NP), serum calcium levels, nutritional status [Conut score: albumin, total cholesterol (TCho), and total lymphocyte count], and kidney function (eGFR) was assessed. Results: In both naïve patients and those switching from bone resorption inhibitors, the bone density increased significantly. In naïve patients, eGFR were positively associated with bone density in the total femur. In cases of switching from bone resorption inhibitors, correlations were found between Tracp 5b and lumbar spine bone mineral density (BMD), as well as between Tracp 5b, Alb, T-Cho, and eGFR in the total femur BMD. Conclusion Romosozumab administration significantly increases bone density in osteoporosis, and assessing key predictive factors is necessary to ensure clinical effectiveness.

Purpose: Romosozumab reportedly increases bone density in patients with severe osteoporosis; however, data on its clinical effects are limited. We conducted a multicenter retrospective survey to study the bone density-increasing effects of romosozumab and blood test-based predictive factors in patients with severe osteoporosis, examining its effects in clinical practice. Materials and Methods: This was a multicenter retrospective observational study. The subjects were patients with severe osteoporosis who were treated with romosozumab at the participating facilities. The increase in bone density was assessed by comparing bone density changes (as a percentage) in the lumbar spine, femoral neck, and total femur before and 12 months after administration using dual-energy X-ray absorptiometry. The association between changes in bone density at each site and pre-treatment bone metabolism markers (Tracp 5b, P1NP), serum calcium levels, nutritional status [Conut score: albumin, total cholesterol (TCho), and total lymphocyte count], and kidney function (eGFR) was assessed. Results: In both naïve patients and those switching from bone resorption inhibitors, the bone density increased significantly. In naïve patients, eGFR were positively associated with bone density in the total femur. In cases of switching from bone resorption inhibitors, correlations were found between Tracp 5b and lumbar spine bone mineral density (BMD), as well as between Tracp 5b, Alb, T-Cho, and eGFR in the total femur BMD. Conclusion Romosozumab administration significantly increases bone density in osteoporosis, and assessing key predictive factors is necessary to ensure clinical effectiveness.

Purpose: Romosozumab reportedly increases bone density in patients with severe osteoporosis; however, data on its clinical effects are limited. We conducted a multicenter retrospective survey to study the bone density-increasing effects of romosozumab and blood test-based predictive factors in patients with severe osteoporosis, examining its effects in clinical practice. Materials and Methods: This was a multicenter retrospective observational study. The subjects were patients with severe osteoporosis who were treated with romosozumab at the participating facilities. The increase in bone density was assessed by comparing bone density changes (as a percentage) in the lumbar spine, femoral neck, and total femur before and 12 months after administration using dual-energy X-ray absorptiometry. The association between changes in bone density at each site and pre-treatment bone metabolism markers (Tracp 5b, P1NP), serum calcium levels, nutritional status [Conut score: albumin, total cholesterol (TCho), and total lymphocyte count], and kidney function (eGFR) was assessed. Results: In both naïve patients and those switching from bone resorption inhibitors, the bone density increased significantly. In naïve patients, eGFR were positively associated with bone density in the total femur. In cases of switching from bone resorption inhibitors, correlations were found between Tracp 5b and lumbar spine bone mineral density (BMD), as well as between Tracp 5b, Alb, T-Cho, and eGFR in the total femur BMD. Conclusion Romosozumab administration significantly increases bone density in osteoporosis, and assessing key predictive factors is necessary to ensure clinical effectiveness.

Infratentorial cerebral hemorrhage due to a direct carotid–cavernous fistula (CCF) is very rare. To our knowledge, only four such cases have been reported. Cerebellar hemorrhage due to a direct CCF has not been reported. We describe a 63-year-old female who presented with reduced consciousness 3 days after undergoing a maxillectomy for maxillary cancer. Computed tomography showed a cerebellar hemorrhage. Magnetic resonance angiography showed a left-sided direct CCF draining into the left petrosal and cerebellar veins through the left superior petrosal sinus (SPS). Her previous surgery had sacrificed the pterygoid plexus and facial vein. Increased blood flow and reduced drainage could have led to increased venous pressure in infratentorial veins, including the petrosal and cerebellar veins. The cavernous sinus has several drainage routes, but the SPS is one of the most important routes for infratentorial venous drainage. Stenosis or absence of the posterior segment of the SPS can also result in increased pressure in the cerebellar and pontine veins. We emphasize that a direct CCF with cortical venous reflux should be precisely evaluated to determine the hemodynamic status and venous drainage from the cavernous sinus.
Cavernous Sinus ; Cerebral Hemorrhage ; Consciousness ; Constriction, Pathologic ; Drainage ; Female ; Fistula* ; Hemodynamics ; Hemorrhage* ; Humans ; Magnetic Resonance Angiography ; Middle Aged ; Veins ; Venous Pressure