With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

【Objective】 To identify the key factors that regulate the physical vacuum stirring deoxygenation process of bovine hemoglobin and evaluate the stabilities of polyHb solution with different oxygenation degree. 【Methods】 The effects of several factors including gas liquid specific phase boundary area, pH values and polyHb concentrations on deoxygenation process were investigated through monitoring the oxygen saturation of polyHb solution. Furthermore, the MetHb contents of the studied polyHb solutions were measured at regular intervals during the experiments to evaluate the molecular stability of the polyHb through monitoring the oxidation degrees of the experimental Hb solutions under the mimic pasteurevirus inactivation conditions. 【Results】 The results showed that the more gas liquid specific phase boundary area could accelerate deoxygenation rate, the better deoxygenation results could be yielded. On the other hand, lower pH value could promote the deoxygenation process of the polyHb solution due to the decreasing of oxygen affinity of the polyhemoglobin molecules. Furthermore, results of investigation about the Hb concentration presented that Hb concentration had no remarkable effects on the deoxygenation of polyHb. In addition, the results from the stability experiments presented that higher degree of deoxygenation could decrease the oxidation process and thus increase the heat tolerance of the polyhemoglobin. 【Conclusion】 The deoxygenation of polyhemglonbin could improve the stability of the polyhemoglobin and the deoxygenation process could be regulated by changing the gas liquid specific phase boundary area and oxygen affinity. This study could provide reference and preliminary basis for the industrialization and development of HBOCs in the future.