Dynamic Changes and Influencing Factors for the Quality of Life in Nursing Care after Lung Cancer Resection

To investigate the dynamic changes and influencing factors for the quality of life in nursing care in patients with lung cancer after resection. Totally, 136 patients undergoing lung cancer resection in our hospital from January 2019 to January 2022 were prospectively enrolled as subjects. The quality of life was measured before and 1 and 2 weeks and 1, 3, 6, and 12 months after the operation to analyze the dynamic changes in the quality of life in nursing care. Clinical data of patients were collected at the time of discharge. The patients were divided into high-quality and low-quality groups according to the median level of quality of life in nursing care at the final follow-up. The logistic regression equation was applied to analyze the influencing factors for the quality of life in nursing care after lung cancer resection. Of 136 patients receiving lung cancer resection, 32 were lost to follow-up until the final follow-up, so 104 patients were finally included. According to the median level of quality of life in nursing care at the final follow-up, the patients were divided into high-quality and low-quality groups (n = 52 per group). The quality of life in nursing care first decreased, then increased, and then stabilized after lung cancer resection. The comparison of clinical data between the two groups exhibited that albumin level was higher in the high-quality group than that in the control group. The age, proportion of living alone, S-AI score, and FoP-Q-SF score were lower in the high-quality group than those in the low-quality group (P < 0.05). Univariate logistic regression analysis demonstrated that high albumin (OR = 0.884) was a protective factor for the quality of life in nursing care after lung cancer resection (P < 0.05). Living alone (OR = 1.333), high S-AI score (OR = 1.211), high FoP-Q-SF score (OR = 1.221), and advanced age (OR = 1.209) were the risk factors for the quality of life in nursing care after lung cancer resection (P < 0.05). Multivariate logistic regression analysis demonstrated that high albumin (OR = 0.861) was a protective factor for the quality of life in nursing care after lung cancer resection (P < 0.05). Living alone (OR = 1.144), high S-AI score (OR = 1.170), high FoP-Q-SF score (OR = 1.161), and advanced age (OR = 1.181) were the risk factors for the quality of life after lung cancer resection (P < 0.05). The quality of life in nursing care first decreased, then increased, and then stabilized after lung cancer resection. Albumin, age, living alone, and S-AI and FoP-Q-SF scores were the influencing factors for the quality of life in nursing care after lung cancer resection. In the nursing care process after lung cancer resection, we should focus on elderly patients living alone who are affected by anxiety and fear of recurrence to improve the quality of life of these patients.