ObjectiveTo observe the dynamic characteristics of visual acuity after vitrectomy in different sizes of idiopathic macular hole, and analyze the influencing factors.MethodsA retrospective study. From August 2016 to June 2018, 302 patients (302 eyes) with monocular idiopathic macular hole who underwent 25G vitrectomy combined with the internal limiting membrane peeling in Tianjin Eye Hospital were included in the study. There were 130 males and 172 females, with the mean age of 63.36±6.91 years. There were 158 left eyes and 144 right eyes. The logMAR BCVA was 1.13±0.45. The minimum diameter (422.92±211.73 μm) and basal diameter (835.47±366.42 μm) of macular hole and choroid thickness under fovea (244.84±60.68 μm) were measured by OCT. According to the minimum diameter, the holes were divided into small hole group (≤250 μm), middle hole group (＞250 μm and ≤400 μm) and large hole group (＞400 μm). The logMAR BCVA at 1, 3 and 6 months after surgery in 3 groups were observed. Two-factor repeated measure ANOVA was used to compare the visual acuity of the 3 groups. The generalized estimation equation (GEE) was used to analyze the influencing factors of postoperative visual recovery.ResultsOne month after surgery, all the holes were closed. One, 3 and 6 months after surgery, the logMAR BCVA were 0.33±0.25, 0.23±0.18, 0.16±0.17 in the small hole group; the logMAR BCVA were 0.46±0.25, 0.35±0.26, 0.27±0.28 in the middle hole group; the logMAR BCVA were 0.81±0.51, 0.61±0.48, 0.53±0.37 in the large hole group. Through repeated measurement variance analysis of two factors, it was found that there was an interaction between different groups and different time nodes (F=23.133, P＜0.01). All data were segmented and one-way repeated measure ANOVA was performed. The results showed that there was a statistically significant difference in visual acuity between the small hole group and the middle hole group among preoperative and 1 month after surgery (P＜0.05), while there was no statistically significant difference in visual acuity between 1, 3 and 6 months after surgery (P＞0.05). In the large hole group, among preoperative, 1 months after surgery, 3 months after surgery, the visual acuity difference was statistically significant (P＜0.05), while the visual acuity difference between 3 months after surgery and 6 months after surgery was not statistically significant (P＞0.05). The results of GEE analysis showed that hole size (χ2=4.17, P=0.04), basal diameter (χ2=7.25, P=0.01), disease course (χ2=19.26, P=0.00), and choroid thickness (χ2=4.19, P=0.04) were the influencing factors of postoperative visual acuity.ConclusionsAfter vitrectomy of macular holes of different sizes, the visual recovery trend is different. The visual recovery of small holes and middle holes is faster and basically restored at 1 month. The large holes requires a slow recovery process and stabilizes vision at 3 months. Hole size, basal diameter, course of disease and choroid thickness are the influencing factors of visual acuity recovery.
ObjectiveTo longitudinally investigate the characteristics of postoperative weight changes in patients with esophageal cancer and analyze its influencing factors, which can provide certain guidance for nutritional intervention in patients with esophageal cancer. MethodsPatients with esophageal cancer who underwent surgical treatment at the Sichuan Cancer Hospital from December 2020 to February 2022 were prospectively included. The general information questionnaire and body composition analyzer were used to longitudinally investigate the patients’ weight and body composition before surgery (T0), 1 month after surgery (T1), 3 months after surgery (T2) and 6 months after surgery (T3), and the change characteristics were analyzed. The generalized estimating equation was used to analyze the influencing factors for postoperative weight changes in patients with esophageal cancer. ResultsA total of 130 patients were enrolled, including 110 males and 20 females, aged 42-79 (63.33±8.16) years. The weight and body composition of patients with esophageal cancer showed a continuous slow downward trend within 6 months after surgery. The weight loss rate of patients at 1, 3, and 6 months after surgery was 5.10%, 7.76%, and 9.86%, respectively. At the same time, the analysis results of the influencing factors for postoperative weight showed that patients with the following characteristics had more weight loss: female (β=−7.703, P=0.001), ≥60 years (β=−3.657, P=0.010), smoking (β=4.622, P=0.010), low tumor differentiation degree (β=4.314, P=0.039), and high frequency of eating (β=−3.400, P=0.008). ConclusionWeight loss is an important health problem for patients with esophageal cancer after surgery, and patients have a continuous downward trend in weight within 6 months after surgery. Medical staff should pay special attention to the patients who are female, ≥60 years, having smoking history and low tumor differentiation degree.
Objective To investigate the development trajectories of kinesiophobia and their influencing factors in patients after total hip arthroplasty (THA). Methods Patients after THA from three tertiary hospitals in Wuhan from February to June 2023 were selected by convenience sampling method. The general situation questionnaire, Tampa Scale for Kinesiophobia, Self-Efficacy for Exercise Scale (SEE), Groningen Orthopaedic Social Support Scale, Generalized Anxiety Disorder, Patient Health Questionnaire, and Visual Analogue Scale (VAS) were distributed 1-2 d after surgery (T1), which were used again 1 week (T2), 1 month (T3), and 3 months (T4) after surgery, to evaluate the level of kinesiophobia and the physical and psychological conditions of the patients. The latent category growth model was used to classify the kinesiophobia trajectories of patients after THA, and the influencing factors of different categories of kinesiophobia trajectories were analyzed. Results A total of 263 patients after THA were included. The kinesiophobia trajectories of patients after THA were divided into four potential categories, including 29 cases in the C1 high kinesiophobia persistent group, 41 cases in the C2 medium kinesiophobia improvement group, 131 cases in the C3 low kinesiophobia improvement group, and 62 cases in the C4 no kinesiophobia group. Multicategorical logistic regression analysis showed that compared to the C4 no kinesiophobia group, the influencing factors for the kinesiophobia trajectory in THA patients to develop into the C1 high kinesiophobia persistent group were age [odds ratio (OR)=1.081, 95% confidence interval (CI) (1.025, 1.140)], chronic comorbidities [OR=6.471, 95%CI (1.831, 22.872)], the average SEE score at T1-T4 time points [OR=0.867, 95%CI (0.808, 0.931)], and the average VAS score at T1-T4 time points [OR=7.981, 95%CI (1.718, 37.074)], the influencing factors for the kinesiophobia trajectory to develop into the C2 medium kinesiophobia improvement group were age [OR=1.049, 95%CI (1.010, 1.089)], education level [OR=0.244, 95%CI (0.085, 0.703)], and the average VAS score at T1-T4 time points [OR=8.357, 95%CI (2.300, 30.368)], and the influencing factors for the kinesiophobia trajectory to develop into the C3 low kinesiophobia improvement group were the average SEE score [OR=0.871, 95%CI (0.825, 0.920)] and the average VAS score at T1-T4 time points [OR=4.167, 95%CI (1.544, 11.245)] . Conclusion Kinesiophobia in patients after THA presents different trajectories, and nurses should pay attention to the assessment and intervention of kinesiophobia in patients with advanced age, low education level, chronic diseases, low exercise self-efficacy, and high pain level.