PURPOSE: This study aimed to evaluate the accuracy of static computer-assisted implant surgery (s-CAIS) by comparing the planned and actual positions of implants placed in a partially edentulous model using surgical templates with different sleeve designs. MATERIALS AND METHODS: Forty-nine mandibular partially edentulous models were scanned using a model scanner to create standard tessellation language (STL) files. The models were divided into seven groups based on sleeve design: Group 1–4 (Open non-metal sleeves with varying heights (3 mm, 6 mm) and buccal widths (5 mm, 6 mm)), Group 5–6 (Closed non-metal sleeves with heights of 3 mm and 6 mm), and Group 7 (Closed metal sleeve). After implant placement at #45 and #47, STL files were generated and analyzed using 3D measurement software. Deviations were measured in terms of horizontal deviation (coronal and apical), vertical deviation, and angular deviation. Statistical significance was evaluated using the Wilcoxon rank sum test, Kruskal-Wallis test, and multiple generalized linear models. RESULTS: While height differences showed no significant deviations (P > .05), there was a tendency for larger apical deviation with increased sleeve height (P < .1). Closed metal and closed non-metal sleeves showed smaller deviations compared to open non-metal sleeves, except in vertical deviation. CONCLUSION Closed sleeves demonstrated greater accuracy in s-CAIS compared to open sleeves. Higher sleeves may improve implant placement accuracy, but buccal insertion width did not significantly affect accuracy.

PURPOSE: This study aimed to evaluate the accuracy of static computer-assisted implant surgery (s-CAIS) by comparing the planned and actual positions of implants placed in a partially edentulous model using surgical templates with different sleeve designs. MATERIALS AND METHODS: Forty-nine mandibular partially edentulous models were scanned using a model scanner to create standard tessellation language (STL) files. The models were divided into seven groups based on sleeve design: Group 1–4 (Open non-metal sleeves with varying heights (3 mm, 6 mm) and buccal widths (5 mm, 6 mm)), Group 5–6 (Closed non-metal sleeves with heights of 3 mm and 6 mm), and Group 7 (Closed metal sleeve). After implant placement at #45 and #47, STL files were generated and analyzed using 3D measurement software. Deviations were measured in terms of horizontal deviation (coronal and apical), vertical deviation, and angular deviation. Statistical significance was evaluated using the Wilcoxon rank sum test, Kruskal-Wallis test, and multiple generalized linear models. RESULTS: While height differences showed no significant deviations (P > .05), there was a tendency for larger apical deviation with increased sleeve height (P < .1). Closed metal and closed non-metal sleeves showed smaller deviations compared to open non-metal sleeves, except in vertical deviation. CONCLUSION Closed sleeves demonstrated greater accuracy in s-CAIS compared to open sleeves. Higher sleeves may improve implant placement accuracy, but buccal insertion width did not significantly affect accuracy.

PURPOSE: This study aimed to evaluate the accuracy of static computer-assisted implant surgery (s-CAIS) by comparing the planned and actual positions of implants placed in a partially edentulous model using surgical templates with different sleeve designs. MATERIALS AND METHODS: Forty-nine mandibular partially edentulous models were scanned using a model scanner to create standard tessellation language (STL) files. The models were divided into seven groups based on sleeve design: Group 1–4 (Open non-metal sleeves with varying heights (3 mm, 6 mm) and buccal widths (5 mm, 6 mm)), Group 5–6 (Closed non-metal sleeves with heights of 3 mm and 6 mm), and Group 7 (Closed metal sleeve). After implant placement at #45 and #47, STL files were generated and analyzed using 3D measurement software. Deviations were measured in terms of horizontal deviation (coronal and apical), vertical deviation, and angular deviation. Statistical significance was evaluated using the Wilcoxon rank sum test, Kruskal-Wallis test, and multiple generalized linear models. RESULTS: While height differences showed no significant deviations (P > .05), there was a tendency for larger apical deviation with increased sleeve height (P < .1). Closed metal and closed non-metal sleeves showed smaller deviations compared to open non-metal sleeves, except in vertical deviation. CONCLUSION Closed sleeves demonstrated greater accuracy in s-CAIS compared to open sleeves. Higher sleeves may improve implant placement accuracy, but buccal insertion width did not significantly affect accuracy.

PURPOSE: This study aimed to evaluate the accuracy of static computer-assisted implant surgery (s-CAIS) by comparing the planned and actual positions of implants placed in a partially edentulous model using surgical templates with different sleeve designs. MATERIALS AND METHODS: Forty-nine mandibular partially edentulous models were scanned using a model scanner to create standard tessellation language (STL) files. The models were divided into seven groups based on sleeve design: Group 1–4 (Open non-metal sleeves with varying heights (3 mm, 6 mm) and buccal widths (5 mm, 6 mm)), Group 5–6 (Closed non-metal sleeves with heights of 3 mm and 6 mm), and Group 7 (Closed metal sleeve). After implant placement at #45 and #47, STL files were generated and analyzed using 3D measurement software. Deviations were measured in terms of horizontal deviation (coronal and apical), vertical deviation, and angular deviation. Statistical significance was evaluated using the Wilcoxon rank sum test, Kruskal-Wallis test, and multiple generalized linear models. RESULTS: While height differences showed no significant deviations (P > .05), there was a tendency for larger apical deviation with increased sleeve height (P < .1). Closed metal and closed non-metal sleeves showed smaller deviations compared to open non-metal sleeves, except in vertical deviation. CONCLUSION Closed sleeves demonstrated greater accuracy in s-CAIS compared to open sleeves. Higher sleeves may improve implant placement accuracy, but buccal insertion width did not significantly affect accuracy.

PURPOSE: This study aimed to evaluate the accuracy of static computer-assisted implant surgery (s-CAIS) by comparing the planned and actual positions of implants placed in a partially edentulous model using surgical templates with different sleeve designs. MATERIALS AND METHODS: Forty-nine mandibular partially edentulous models were scanned using a model scanner to create standard tessellation language (STL) files. The models were divided into seven groups based on sleeve design: Group 1–4 (Open non-metal sleeves with varying heights (3 mm, 6 mm) and buccal widths (5 mm, 6 mm)), Group 5–6 (Closed non-metal sleeves with heights of 3 mm and 6 mm), and Group 7 (Closed metal sleeve). After implant placement at #45 and #47, STL files were generated and analyzed using 3D measurement software. Deviations were measured in terms of horizontal deviation (coronal and apical), vertical deviation, and angular deviation. Statistical significance was evaluated using the Wilcoxon rank sum test, Kruskal-Wallis test, and multiple generalized linear models. RESULTS: While height differences showed no significant deviations (P > .05), there was a tendency for larger apical deviation with increased sleeve height (P < .1). Closed metal and closed non-metal sleeves showed smaller deviations compared to open non-metal sleeves, except in vertical deviation. CONCLUSION Closed sleeves demonstrated greater accuracy in s-CAIS compared to open sleeves. Higher sleeves may improve implant placement accuracy, but buccal insertion width did not significantly affect accuracy.

Background: Providing optimal nutrition to patients with acute respiratory failure is difficult because nutritional requirements vary according to disease severity and comorbidities. In 2021, the National Medical Center initiated a protocol for screening upon admission and regular monitoring by a multidisciplinary nutritional support team (NST), for all patients in the medical intensive care unit (ICU). This study aimed to evaluate the effects of routine NST monitoring and active intervention on the clinical outcomes of patients with acute respiratory failure. Methods: Patients with acute respiratory failure requiring high-flow nasal cannula, non-invasive ventilation, or mechanical ventilation were included. The primary outcome was 28-day mortality after ICU admission. Secondary outcomes included the supplied/target calorie ratio, supplied/target protein ratio on day 7, and complications. Results: In total, 152 patients were included in the analysis. The patients were divided into a pre-monitoring (n=96) and post-monitoring groups (n=56). More patients in the post-monitoring group received NST intervention and had earlier initiation of enteral feeding. In survival analysis, 28-day mortality was significantly lower in post-monitoring group (adjusted hazard ratio, 0.42; 95% CI, 0.24–0.74). The ratio of achievement for required calories and protein on day 7 was higher, but not significantly, in the post-monitoring group. No significant differences were observed in the incidence of complications. Conclusions Regular NST monitoring in the ICU could have contributed to a reduced risk of 28-day mortality in critically ill patients with acute respiratory failure.

Background: Transfusion reactions have been under-reported, and the laboratory tests to evaluate the causes of the reactions are unfamiliar to physicians other than transfusion specialists. The paper-based transfusion reaction reporting system previously used in our hospital was one-way, with physicians submitting it to the Department of Transfusion Management. To address this, we developed an electronic reporting system that improves communication with physicians to identify the cause of transfusion reactions and recommend appropriate blood components. Methods: To assess the status of transfusion reaction reporting, transfusion reaction reports and transfusion nursing records of 5 years from 2019 to 2023 were analyzed. The transfusion reaction reporting system comprises two parts: the physician's report and the response from the Department of Transfusion Management. If physicians order blood products for patients with a history of prior transfusion reactions, a pop-up alert appears, warning them to check the details of the previous report. Results: From 2019 to 2023, 2.5% cases of transfusion-related symptoms occurred annually and only 2.6% of transfusion reactions were reported. In 21 out of the 31 cases, the cause was difficult to determine due to inadequate laboratory tests.The attending physicians of 12 cases were given a recommendation to use blood products or to conduct further laboratory tests by the Department of Transfusion Management to reduce recurrence, but the advice was followed only in 4 cases. Conclusion The electronic transfusion reaction reporting system could help physicians conduct appropriate investigations for transfusion reactions and inform physicians regarding the laboratory tests required to be undertaken. It is expected to enhance blood transfusion safety and management by improving communication with physicians.

Background: Transfusion reactions have been under-reported, and the laboratory tests to evaluate the causes of the reactions are unfamiliar to physicians other than transfusion specialists. The paper-based transfusion reaction reporting system previously used in our hospital was one-way, with physicians submitting it to the Department of Transfusion Management. To address this, we developed an electronic reporting system that improves communication with physicians to identify the cause of transfusion reactions and recommend appropriate blood components. Methods: To assess the status of transfusion reaction reporting, transfusion reaction reports and transfusion nursing records of 5 years from 2019 to 2023 were analyzed. The transfusion reaction reporting system comprises two parts: the physician's report and the response from the Department of Transfusion Management. If physicians order blood products for patients with a history of prior transfusion reactions, a pop-up alert appears, warning them to check the details of the previous report. Results: From 2019 to 2023, 2.5% cases of transfusion-related symptoms occurred annually and only 2.6% of transfusion reactions were reported. In 21 out of the 31 cases, the cause was difficult to determine due to inadequate laboratory tests.The attending physicians of 12 cases were given a recommendation to use blood products or to conduct further laboratory tests by the Department of Transfusion Management to reduce recurrence, but the advice was followed only in 4 cases. Conclusion The electronic transfusion reaction reporting system could help physicians conduct appropriate investigations for transfusion reactions and inform physicians regarding the laboratory tests required to be undertaken. It is expected to enhance blood transfusion safety and management by improving communication with physicians.

Background: Transfusion reactions have been under-reported, and the laboratory tests to evaluate the causes of the reactions are unfamiliar to physicians other than transfusion specialists. The paper-based transfusion reaction reporting system previously used in our hospital was one-way, with physicians submitting it to the Department of Transfusion Management. To address this, we developed an electronic reporting system that improves communication with physicians to identify the cause of transfusion reactions and recommend appropriate blood components. Methods: To assess the status of transfusion reaction reporting, transfusion reaction reports and transfusion nursing records of 5 years from 2019 to 2023 were analyzed. The transfusion reaction reporting system comprises two parts: the physician's report and the response from the Department of Transfusion Management. If physicians order blood products for patients with a history of prior transfusion reactions, a pop-up alert appears, warning them to check the details of the previous report. Results: From 2019 to 2023, 2.5% cases of transfusion-related symptoms occurred annually and only 2.6% of transfusion reactions were reported. In 21 out of the 31 cases, the cause was difficult to determine due to inadequate laboratory tests.The attending physicians of 12 cases were given a recommendation to use blood products or to conduct further laboratory tests by the Department of Transfusion Management to reduce recurrence, but the advice was followed only in 4 cases. Conclusion The electronic transfusion reaction reporting system could help physicians conduct appropriate investigations for transfusion reactions and inform physicians regarding the laboratory tests required to be undertaken. It is expected to enhance blood transfusion safety and management by improving communication with physicians.

Background: Transfusion reactions have been under-reported, and the laboratory tests to evaluate the causes of the reactions are unfamiliar to physicians other than transfusion specialists. The paper-based transfusion reaction reporting system previously used in our hospital was one-way, with physicians submitting it to the Department of Transfusion Management. To address this, we developed an electronic reporting system that improves communication with physicians to identify the cause of transfusion reactions and recommend appropriate blood components. Methods: To assess the status of transfusion reaction reporting, transfusion reaction reports and transfusion nursing records of 5 years from 2019 to 2023 were analyzed. The transfusion reaction reporting system comprises two parts: the physician's report and the response from the Department of Transfusion Management. If physicians order blood products for patients with a history of prior transfusion reactions, a pop-up alert appears, warning them to check the details of the previous report. Results: From 2019 to 2023, 2.5% cases of transfusion-related symptoms occurred annually and only 2.6% of transfusion reactions were reported. In 21 out of the 31 cases, the cause was difficult to determine due to inadequate laboratory tests.The attending physicians of 12 cases were given a recommendation to use blood products or to conduct further laboratory tests by the Department of Transfusion Management to reduce recurrence, but the advice was followed only in 4 cases. Conclusion The electronic transfusion reaction reporting system could help physicians conduct appropriate investigations for transfusion reactions and inform physicians regarding the laboratory tests required to be undertaken. It is expected to enhance blood transfusion safety and management by improving communication with physicians.