Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

Hearing loss is one of the common radiotherapy-induced complications of head and neck tumors, including nasopharyngeal carcinoma. These side reactions can be classified into acute or delayed types, which affect all structures of the auditory organs, resulting in conductive, sensorineural or mixed hearing loss. Up to 40% of patients develop acute middle ear side effects during radical radiotherapy, while approximately 1/3 develop late sensorineural hearing loss. The total radiation dose and tumor site appear to be the most important factors associated with the risk of hearing loss. The mechanisms of conductive and sensorineural hearing impairment are different. New radiotherapy techniques (three-dimensional conformal radiotherapy, intensity modulated radiotherapy, proton therapy) enable better dose distribution, lower dose to non-target organs, and gradually increase the feasibility of protecting normal tissues. The present article illustrates recent progress in radiotherapy-induced hearing loss, specially focusing on the occurrence, the mechanisms and related factors of ear toxicity, detection and diagnosis, and treatment.

Objective:To evaluate the robustness of fully automated adaptive planning for Ethos online adaptive radiotherapy (ART) based on the intelligent optimization engine (IOE).Methods:Clinical data of 11 stage ⅠB cervical cancer patients admitted to Peking Union Medical College Hospital between June 2021 and June 2022 were retrospectively analyzed. Original planning images and iterative cone-beam computed tomography (iCBCT) images of each radiotherapy treatment were acquired, and all patient data were imported into the Ethos simulator. IOE-based 9-field automatic plan generation was performed for 11 patients using Ethos, and the generated plans were sent to online adaptive radiotherapy simulation to obtain each online adaptive radiotherapy plan (273 fractions in total) and complete the simulated treatment. For comparison, manual plan design was performed based on the images and contoured structures used for online adaptive radiotherapy planning, and the manually plans created with evenly divided 9 fields. Dosimetric parameters, plan complexity parameters, and Mobius quality assurance (QA) pass rates were collected to compare and evaluate the robustness of the online adaptive radiotherapy plan in terms of organs at risk (OAR), target volume dosimetric parameters, and plan complexity by using paired t-test or rank sum test. Results:The online adaptive plan of cervical cancer had comparable planning target volume (PTV) coverage compared to the manual plan. For the clinical target volume (CTV) D 99%, online adaptive plan was significantly higher than the manual plan [(45.93±0.36) vs. (45.32±0.31) Gy, P<0.001]. For hot dose area, the maximum point dose (PTV D max) of adaptive plan was significantly higher than the manual plan [(49.89±1.25) vs. (48.48±0.77) Gy, P<0.001], but the PTV D 1% of adaptive plan was significantly lower than the manual plan [(47.22±0.29) vs. (47.59±0.48) Gy, P<0.001]. There was no statistical difference in the conformal index ( P=0.967). And there was significant difference in the homogeneity index, with same medians and less dispersion in adaptive plan ( P<0.001). For OAR dose, bladder D mean, rectal V 40 Gy, small intestine D mean of adaptive plan was slightly higher than that of the manual plan; the rectal D mean, small intestine D 2 cm3 of the adaptive plan was slightly lower than that of manual plan; dosimetric parameters of right and left femoral heads, spinal cord and bone marrow of the adaptive plan were better than those of manual plan. The adaptive plan had more monitor units (MU) than the manual plan, but the complexity of the adaptive plan was significantly lower than that of the manual plan (0.135±0.012 vs. 0.151±0.015, P<0.001). For Mobius γ pass rate (5%/3 mm), both adaptive and manual plans met clinical requirements. Conclusion:Ethos cervical cancer online adaptive plan, which is based on the IOE engine, demonstrates good robustness and ensures the quality of online adaptive plans generated for each treatment fraction.

Objective:To evaluate the automatic optimization performance and clinical feasibility of the intelligent optimization engine (IOE) in the Ethos online adaptive radiotherapy platform.Methods:Clinical data of 11 patients with postoperative cervical cancer treated with Halcyon accelerator were retrospectively analyzed. Manual planning was performed for all patients using the 4 full arc volumetric modulated arc therapy (VMAT) (Manual-4Arc) in Eclipse, with a prescription dose of 45 Gy/25F. Patient images and structures were imported into the Ethos simulator, and appropriate clinical goals were added based on clinical requirements. The target coverage was normalized to 95%. Automatic plan generation was conducted using IOE, resulting in 7, 9, and 12 field intensity modulated radiotherapy (IMRT) plans (IMRT-7F、IMRT-9F、IMRT-12F), as well as 2 and 3 arc VMAT plans (VMAT-2Arc、VMAT-3Arc). Dosimetric index comparisons were made between the Manual-4Arc plans and the 5 groups of IOE-generated plans through one-way analysis of variance. Based on the analysis results, Turky post hoc multiple comparisons were performed to evaluate the automatic optimization performance of IOE.Results:In terms of the high dose area, the IMRT-12F plans showed the lowest D 1% for the planning target volume (PTV), and there were significant differences compared to the Manual-4Arc plans ( P=0.004). Regarding target coverage, all groups produced clinical target volume (CTV) plans that met the clinical requirements. Although the Ethos online adaptive plans were normalized during planning, the PTV coverage was slightly insufficient. For organs at risk (OAR) close to the target, such as the bladder, there were significant differences in V 30 Gy, V 40 Gy, and D mean among the 6 groups of plans. The dose ranking for the bladder was generally as follows: IMRT-12F

Abdominal complications following cardiac surgery are rare events, but can be fatal if not diagnosed and managed in time. Aggressive treatments offer a better chance for survival in patients with risk factors. This case report describes the clinical presentation and details of 3 recently operated patients who suffered acute abdominal pain after cardiac surgery. The underlying causes were Crohn disease-associated ileal perforation, intestinal necrosis, and diverticulitis-associated colonic perforation. The presentation and management of these severe conditions are discussed.

Abdominal complications following cardiac surgery are rare events, but can be fatal if not diagnosed and managed in time. Aggressive treatments offer a better chance for survival in patients with risk factors. This case report describes the clinical presentation and details of 3 recently operated patients who suffered acute abdominal pain after cardiac surgery. The underlying causes were Crohn disease-associated ileal perforation, intestinal necrosis, and diverticulitis-associated colonic perforation. The presentation and management of these severe conditions are discussed.

Both empyema and type A aortic dissection are life-threatening conditions. The combination, though rare, can cause serious complications and death. There have been rare cases of empyema caused by a co-infection with a Gram-positive bacterium, Granulicatella adiacens, which is difficult to identify, and a Gram-negative bacterium, Escherichia coli. In this case, a 50-year-old man was referred to the emergency department due to sudden chest pain and a suspected diagnosis of type A aortic dissection. The patient was subsequently found to have co-morbid empyema and a fissure in the esophagus when the cause of the disease was investigated. Considering the possibility that the patient’s infection was of digestive origin, a combination of Gram-positive and Gram-negative antibiotics was given immediately. Etiological examination later confirmed the presence of Granulicatella adiacens and Escherichia coli in chest drainage fluid, and the patient was successfully treated with antimicrobial therapy and conservative treatment.

Both empyema and type A aortic dissection are life-threatening conditions. The combination, though rare, can cause serious complications and death. There have been rare cases of empyema caused by a co-infection with a Gram-positive bacterium, Granulicatella adiacens, which is difficult to identify, and a Gram-negative bacterium, Escherichia coli. In this case, a 50-year-old man was referred to the emergency department due to sudden chest pain and a suspected diagnosis of type A aortic dissection. The patient was subsequently found to have co-morbid empyema and a fissure in the esophagus when the cause of the disease was investigated. Considering the possibility that the patient’s infection was of digestive origin, a combination of Gram-positive and Gram-negative antibiotics was given immediately. Etiological examination later confirmed the presence of Granulicatella adiacens and Escherichia coli in chest drainage fluid, and the patient was successfully treated with antimicrobial therapy and conservative treatment.