Retained intracardiac air in cardiovascular surgery: a re-visited problem.

Intracardiac air remains an unsolved problem in the realm of cardiac surgery, leading to embolic events encompassing conduction disturbance, heart failure, and stroke. Transesophageal echocardiography allows the visualization of three distinct types of retained intracardiac air: pooled air, coarse bubbles, and microbubbles. The former two predominantly manifest in the right upper pulmonary vein, left atrium, and left ventricle, exhibiting passive movement along the vessel walls by buoyancy. De-airing, involving "eradication" of air from circulation and "expulsion" of air from the heart into the systemic circulation assumes paramount importance in averting embolic events. Optimal de-airing strategies necessitate the thorough elimination of air during the static phase before the resumption of cardiac activity, achieved through aspiration or guided exit leveraging buoyancy. While the dynamic phase, characterized by active cardiac beating, presents challenges for air eradication, the majority of air expulsion occurs towards the aorta during this period. In this latter phase, collaborative efforts among the surgeon, anesthesiologist, and clinical engineer are pivotal to mitigate the risk of bolus air embolism. The efficacy of carbon dioxide insufflation is limited, as it is rapidly aspirated by wall suction or absorbed into the bloodstream. Consequently, the "air" identified by TEE is acknowledged as conventional air. Understanding the distinctive properties of air as well as timely and judicious collaboration for detection and removal, with the ultimate goal of eradication, emerges as an essential prerequisite for successful de-airing in the evolving era of cardiac surgery.

Significant thrombus in saccular aneurysm in a patient with polycythemia: a case report.

BACKGROUND: Morphologically, the risk of aortic aneurysm rupture is mainly evaluated based on its type (e.g., fusiform or saccular) and diameter. Based on the finite element analysis, peak wall stress has been identified as a more sensitive and specific predictor of rupture in recent years. Moreover, in finite analysis, the neck of aneurysm is the highest peak wall stress and is associated with the rupture point. CASE PRESENTATION: A saccular aortic aneurysm (84 mm) was incidentally detected during preoperative examination for chronic empyema in a 74-year-old male patient with a history of polycythemia. Aortic arch graft replacement using an open stent was performed. CONCLUSIONS: Morphologically, this case was associated with a very high risk of rupture; nevertheless, it did not rupture. In this case, a mural thrombus (likely formed due to polycythemia) covered the neck of aneurysm that is experiencing the highest peak wall stress and is associated with the rupture point. The mural thrombus decreased peak wall stress and could reduce the risk of rupture even for huge saccular aneurysms. Furthermore, the mural thrombus was fully occupied in aneurysms, such as during coil embolization. Thus, polycythemia could decrease the risk of rupture of huge saccular aneurysms.

Development and preliminary validation of a machine learning system for thyroid dysfunction diagnosis based on routine laboratory tests.

Background: Approximately 2.4 million patients in Japan would benefit from treatment for thyroid disease, including Graves' disease and Hashimoto's disease. However, only 450,000 of them are receiving treatment, and many patients with thyroid dysfunction remain largely overlooked. In this retrospective study, we aimed to develop and conduct preliminary testing on a machine learning method for screening patients with hyperthyroidism and hypothyroidism who would benefit from prompt medical treatment. Methods: We collected electronic medical records and medical checkup data from four hospitals in Japan. We applied four machine learning algorithms to construct classification models to distinguish patients with hyperthyroidism and hypothyroidism from control subjects using routine laboratory tests. Performance evaluation metrics such as sensitivity, specificity, and the area under receiver operating characteristic (AUROC) were obtained. Techniques such as feature importance were further applied to understand the contribution of each feature to the machine learning output. Results: The results of cross-validation and external evaluation indicated that we achieved high classification accuracies (AUROC = 93.8% for hyperthyroidism model and AUROC = 90.9% for hypothyroidism model). Serum creatinine (S-Cr), mean corpuscular volume (MCV), and total cholesterol were the three features that were most strongly correlated with the hyperthyroidism model, and S-Cr, lactic acid dehydrogenase (LDH), and total cholesterol were correlated with the hypothyroidism model. Conclusions: We demonstrated the potential of machine learning approaches for diagnosing the presence of thyroid dysfunction from routine laboratory tests. Further validation, including prospective clinical studies, is necessary prior to application of our method in the clinic.

Radiation therapy combined with cis-diammine-glycolatoplatinum (Nedaplatin) and 5-fluorouracil for untreated and recurrent esophageal cancer.

From January 1999 to November 2000, a total of 24 esophageal cancer patients (17 untreated and 7 recurrent cases) were treated with radiation therapy (60-70 Gy) combined with cis-diammine-glycolatoplatinum (Nedaplatin) (80-120 mg/body) and 5-fluorouracil (5-FU) (500-1,000 mg/body/24 h, continuous infusion for 5 days). Grade III leukocytopenia was observed in 6 (25%) of the patients. Grade III and IV thrombocytopenia was observed in one patient each. The 1-year and 2-year survival rates for definitively irradiated patients were 59% and 39%, respectively, and for patients with postoperative recurrence 69% and 69%, respectively. High-dose radiation combined with Nedaplatin and 5-FU is a safe and effective method for treating esophageal cancer.