ObjectiveTo compare the complications and clinical scores of posterior lumbar intervertebral fusion (PLIF) in middle-aged and older patients of different ages, and to assess the risk of complications of PLIF in different ages, providing a reference for clinical treatment.MethodsThe clinical data of 1 136 patients, who were more than 55 years old and underwent PLIF between June 2013 and June 2016, were retrospectively analyzed. According to the age of patients undergoing surgery, they were divided into 3 groups as 55-64 years old, 65-74 years old, and ≥75 years old. The general characteristics, comorbidities, and surgical data of the three groups were compared, with comparison the morbidity of complications. According to the minimal clinical important difference (MCID), the improvement of patient’s pain visual analogue scale (VAS) score and the Oswestry disability index (ODI) score were compared. Univariate logistic regression analysis was used to analyze the difference of complications and the improvement of VAS and ODI scores. Multivariate logistic regression analysis was performed for the risk factors of complications.ResultsThere were significant differences in the number of surgical fusion segments and osteoporosis between groups (P<0.05); there was no significant difference in gender, body mass index, operation time, preoperative American Society of Anesthesiologists (ASA) classification, and comorbidities between groups (P>0.05). All patients were followed up 6-62 months with an average of 27.4 months. Among the results of postoperative complications, there were significant differences in the total incidence of intraoperative complications, systemic complications, minor complications, and the percentage of improvement of ODI score to MCID between groups (P<0.05); but there was no significant difference in the total incidence of complications at the end of long-term follow-up and the percentage of improvement of VAS score to MCID between groups (P>0.05). Univariate logistic regression analysis showed that after adjusting the confounding factors, there were significant differences in intraoperative complications and the percentage of improvement of ODI score to MCID between 55-64 and 65-74 years old groups (P<0.05); systemic complications, minor complications, complications at the end of long-term follow-up, and the percentage of improvement of ODI score to MCID in ≥75 years old group were significantly different from those in the other two groups (P<0.05). Multivariate logistic regression analysis showed that age was a risk factor for systemic complications, minor complications, and complications at the end of long-term follow-up. Except for age, long operation time was a risk factor for intraoperative complications, increased number of fusion segments was a risk factor for systemic complications, the number of comorbidities was a risk factor for minor complications, and osteoporosis was a risk factor for complications at the end of long-term follow-up.ConclusionThe risk of surgical complications is higher in the elderly patients (≥75 years) with lumbar degenerative diseases than in the middle-aged and older patients (<75 years), while the improvements of postoperative VAS and ODI scores were similar. Under the premise of fully assessing surgical indications, PLIF has a positive effect on improving the elderly patients’ quality of life.
ObjectiveTo summarize the research progress on the impact of postoperative adjuvant chemotherapy on frailty, cognitive function, and quality of life in older patients with breast cancer.MethodCollected literatures about the impact of postoperative adjuvant chemotherapy on frailty, cognitive function, and quality of life in older patients with breast cancer to make an review.ResultsElderly breast cancer patients were likely to benefit from postoperative adjuvant chemotherapy without undergoing significant impairment of frailty, cognitive function, and quality of life. However, postoperative adjuvant chemotherapy might cause an aggravation of the frailty in patients who was already with it.ConclusionWe should develop personalized treatment plans for elderly breast cancer patients after multidisciplinary assessment.
ObjectiveTo explore risk factors for sarcopenia after radical gastrectomy for gastric cancer in older patients. MethodsOlder patients who underwent radical gastrectomy for gastric cancer at Tangshan People’s Hospital from January 2022 to June 2023 were retrospectively collected. The occurrence of sarcopenia was recorded, and factors influencing its development were analyzed. Factors with statistical significance in univariate analysis and clinical relevance were included in a multivariate binary logistic regression model. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminatory ability of significant predictors for sarcopenia occurrence. ResultsA total of 300 older patients underwent radical gastrectomy for gastric cancer were enrolled. Sarcopenia occurred in 74 patients (incidence rate: 24.67%). Multivariate binary logistic regression analysis identified the following independent risk factors for sarcopenia (all P<0.05): American Society of Anesthesiologists (ASA) classification Ⅲ, postoperative chemotherapy, geriatric nutritional risk index (GNRI) <89, body mass index (BMI) <18.5 kg/m2, lack of exercise habits, and lower values of serum total protein, grip strength, skeletal muscle mass index (SMI), 6-meter walking speed, and short physical performance battery (SPPB) score. Among these, factors with an area under the ROC curve (AUC) >0.7 were serum total protein, SMI, and 6-meter walking speed. The combined model integrating all ten factors achieved an AUC of 0.937 (sensitivity 96.65%; specificity 89.71%; Youden index 0.864). ConclusionsThis study reveals a high incidence of sarcopenia after radical gastrectomy in older patients with gastric cancer. The risk of sarcopenia is multifactorial, involving surgical tolerance (ASA classification), postoperative therapy (chemotherapy), nutritional status (GNRI and BMI), exercise habits, and various muscle-related functional indicators (serum total protein, grip strength, SMI, walking speed, and SPPB score). The combined predictive model shows potential for early identification of high-risk patients.