Objective To analyze the influencing factors of single-center day surgery patients who are discharged from the hospital on the same-day, in order to provide reference and basis for the clinical practice of follow-up day surgery. Methods The electronic medical records of patients who underwent day surgery in the Day Surgery Center of the First Affiliated Hospital of the Air Force Military Medical University between February and October 2021 were analyzed retrospectively. The patients were divided into the same-day discharge group and non-same-day discharge group. The baseline data and perioperative indicators of the patients were analyzed. Results A total of 857 patients were included, including 264 patients (30.81%) in the same-day discharge group and 593 patients (69.19%) in the non-same-day discharge group. Univariate analysis showed that there were significant differences between the two groups in gender, age, body mass index, whether the first one, disease classification, anesthesia method, and intraoperative blood loss (P<0.05). Logistic regression analysis showed that gender, whether the first one, disease classification, surgical grade, anesthesia method, and intraoperative blood loss were independent factors affecting the delayed discharge of patients undergoing daytime surgery (P<0.05). Conclusions There are many factors that affect day surgery patients’ discharge. It is suggested that more rigorously screen patients for day surgery, improve medical technology, strengthen out-of-hospital continued care, and optimize management procedures, so as to shorten the time of patients in hospital and provide more information for patients, and provide more efficient and convenient medical services for patients.
Objective To understand the incidence and severity of postoperative acute pain in patients undergoing day surgery, and to explore the influencing factors of moderate to severe pain after surgery, so as to provide a reference for pain management in day surgery. Methods Convenience sampling method was used to select patients undergoing day surgery under multi-modal pain management in West China Hospital of Sichuan University between April and August 2020, and the general conditions, surgical conditions, and postoperative pain of the patients were investigated. According to the degree of postoperative pain, patients were divided into mild pain group and moderate to severe pain group. Logistic regression analysis was used to explore the influencing factors of postoperative pain in the two groups. Results A total of 509 patients were finally included, of which 69 patients presented with moderate to severe pain. Logistic regression analysis showed that patient age [odds ratio (OR)=0.970, 95% confidence interval (CI) (0.946, 0.993), P=0.012], pain threshold [OR=1.348, 95%CI (1.048, 1.734), P=0.020] and postoperative drainage tube [OR=2.752, 95%CI (1.090, 6.938), P=0.017] were the influencing factors of moderate to severe pain after surgery. Conclusion Under multimodal pain management, the incidence of moderate to severe pain in day surgery patients is low, and medical staff should further strengthen pain management from the factors affecting pain to reduce the incidence of moderate to severe pain after surgery.
Objective To explore the current situation and influencing factors of self-regulatory fatigue in maintenance hemodialysis (MHD) patients, so as to provide good dialysis treatment for MHD patients, reduce their level of self-regulated fatigue and improve their quality of life. Methods The convenient sampling method was used to select the MHD patients in the Wenjiang Hemodialysis Center of West China Hospital of Sichuan University between April 12 and April 30, 2022. The patients were investigated by self-made basic information scale and self-regulatory fatigue scale. Results A total of 131 patients were included. The average score of self-regulatory fatigue was 53.47±6.45, cognitive dimension was 20.21±2.39, emotional dimension was 20.85±2.85, behavioral dimension was 12.40±3.63. The results of multiple linear stepwise regression analysis showed that age, duration of dialysis and educational background could inversely predict the score of self-regulatory fatigue (P<0.05). Conclusions MHD patients have a high level of self-regulatory fatigue. Clinical nurses can make individual dialysis programs according to the actual situation of MHD patients, improve their self-regulated level and physical and mental health, and improve the quality of life of MHD patients.
Objective To understand the current situation of eHealth literacy of maintenance hemodialysis (MHD) patients and analyze the influencing factors to improve the eHealth literacy of MHD patients. Methods Using cross-sectional survey method, MHD patients in West China Hospital of Sichuan University were selected as the subjects between February and April 2022. eHealth Literacy Scale (eHEALS) was used to investigate the status of eHealth literacy, and the influencing factors of MHD patients were analyzed. Results A total of 194 MHD patients were investigated. The total eHEALS score of MHD patients was 24.55±9.14. The results of generalized linear regression showed that education level, medical payment method, age, frequency of internet forums, interest in internet health knowledge search, and Baidu search engine (a common channel for searching disease information online) were the influencing factors of MHD patients’ electronic health literacy. Conclusion The electronic health literacy level of MHD patients is low, so renal medical staff should pay attention to the electronic health literacy of MHD patients and develop targeted interventions to help patients better manage their own health problems.
Objective To investigate the influencing factors for the clinical remission of advanced esophageal squamous cell carcinoma (ESCC) after neoadjuvant chemotherapy, establish an individualized nomogram model to predict the clinical remission of advanced ESCC with neoadjuvant chemotherapy and evaluate its efficacy, providing serve for the preoperative adjuvant treatment of ESCC.Methods The clinical data of patients with esophageal cancer who underwent neoadjuvant chemotherapy (nedaplatin 80 mg/m2, day 3+docetaxel 75 mg/m2, day 1, 2 cycles, 21 days per cycle interval) in the Department of Thoracic Surgery, Affiliated Hospital of North Sichuan Medical College from February 2016 to August 2020 were analyzed retrospectively. According to the WHO criteria for efficacy assessment of solid tumors, tumors were divided into complete remission (CR), partial remission (PR), stable disease (SD) and progressive disease (PD). CR and PR were defined as effective neoadjuvant chemotherapy, and SD and PD were defined as ineffective neoadjuvant chemotherapy. Univariate and multivariate analyses were used to analyze the influencing factors for the short-term efficacy of neoadjuvant chemotherapy. The R software was used to establish a nomogram model for predicting the clinical remission of advanced ESCC with neoadjuvant chemotherapy, and Bootstrap method for internal verification of the model. C-index, calibration curve and receiver operating characteristic (ROC) curve were used to evaluate the predictive performance of the nomogram.Results Finally 115 patients were enrolled, including 93 males and 22 females, aged 40-75 (64.0±8.0) years. After receiving docetaxel+nedaplatin neoadjuvant chemotherapy for 2 cycles, there were 9 patients with CR, 56 patients with PR, 43 patients with SD and 7 patients with PD. Among them, chemotherapy was effective (CR+PR) in 65 patients and ineffective (SD+PD) in 50 patients, with the clinical effective rate of about 56.5% (65/115). Univariate analysis showed that there were statistical differences in smoking history, alcoholism history, tumor location, tumor differentiation degree, and cN stage before chemotherapy between the effective neoadjuvant chemotherapy group and the ineffective neoadjuvant chemotherapy group (P<0.05). Logistic regression analysis showed that low-differentiation advanced ESCC had the worst clinical response to neoadjuvant chemotherapy, moderately-highly differentiated ESCC responded better (P<0.05). Stage cN0 advanced ESCC responded better to neoadjuvant chemotherapy than stage cN1 and cN2 (P<0.05). The C-index and the area under the ROC curve of the nomogram were both 0.763 (95%CI 0.676-0.850), the calibration curve fit well, the best critical value of the nomogram calculated by the Youden index was 70.04 points, and the sensitivity and specificity of the critical value were 80.0% and 58.0%, respectively.ConclusionThe established clinical prediction model has good discrimination and accuracy, and can provide a reference for individualized analysis of the clinical remission of advanced ESCC with neoadjuvant chemotherapy and the screening of new adjuvant treatment subjects.
Objective To analyze the prevalence and influencing factors of dyslipidemia among permanent residents in Longquanyi district of Chengdu for prevention and control of dyslipidemia. Methods Permanent residents in Longquanyi district were selected as research objects by convenient sampling method between November 2021 and February 2022. The dyslipidemia rate in the population was analyzed, and the influencing factors of dyslipidemia were analyzed by univariate and multivariate logistic regression. Results A total of 11 408 permanent residents were included. Among them, 3650 people had dyslipidemia, with a prevalence rate of 32.00% (3650/11408). The prevalence rates of high total cholesterol, high triglyceride, high low-density lipoprotein cholesterol, and low high-density lipoprotein cholesterol were 19.30% (2 202/11 408), 13.38% (1 526/11 408), 5.05% (576/11 408) and 0.73% (83/11 408), respectively. Multivariate logistic regression analysis showed that female, age≥30 years old, drinking, overweight / obesity, hypertension, diabetes and hyperuricemia were independent risk factors of dyslipidemia among permanent residents (P<0.05). Conclusions The prevalence of dyslipidemia in Longquanyi district is high, mainly with high total cholesterol and high triglyceride. Gender, age, drinking, body mass index, and the levels of blood pressure, blood glucose and blood uric acid are the factors affecting the incidence of dyslipidemia among permanent residents. Early intervention for high-risk groups with dyslipidemia should be adopted to effectively reduce the risk and burden of dyslipidemia.
Objective To understand the incidence of frailty in maintenance hemodialysis (MHD) patients, and to explore the correlation and influencing factors of frailty in MHD patients, so as to provide some basis for the intervention of frailty in MHD patients. Methods Patients who underwent MHD in the Department of Nephrology of West China Hospital of Sichuan University from January to March 2021 were selected. Frail scale and Pittsburgh Sleep Quality Index (PSQI) were used for evaluation, and the influencing factors of frail in patients with MHD and its correlation with frail were analyzed. Results A total of 141 patients with MHD were included, including 57 cases without frailty (40.43%), 71 cases in early frailty (50.35%), and 13 cases in frailty (9.22%). 54 cases (38.30%) had very good sleep quality, 56 cases (39.72%) had good sleep quality, 24 cases (17.02%) had average sleep quality, and 7 cases (4.96%) had very poor sleep quality. The frailty of MHD patients was positively correlated with age (rs=0.265, P=0.002), PSQI (rs=0.235, P=0.005) and magnesium (rs=0.280, P=0.001). Logistic regression analysis showed that the influencing factors of MHD patients’ frailty were gender [odds ratio (OR) =4.321, 95%confidence interval (CI) (1.525, 12.243), P=0.006], PSQI [OR=1.110, 95%CI (1.009, 1.222), P=0.032], magnesium [OR=122.072, 95%CI (4.752, 3 135.528), P=0.004], hypertension [OR=0.112, 95%CI (0.023, 0.545), P=0.007] and other diseases [OR=0.102, 95%CI (0.019, 0.552), P=0.008]. Conclusions The incidence of frailty in MHD patients is high. Gender, PSQI, magnesium, hypertension and other diseases are the influencing factors of frailty in MHD patients, and there is a correlation between frailty and sleep. It is suggested that renal medical staff should pay more attention to the assessment of MHD frailty and sleep, and carry out multi-disciplinary personalized intervention to improve the quality of life of MHD patients.
Objective To investigate the current status and influencing factors of decision conflict regarding disease-modifying therapy in patients with spinal muscular atrophy (SMA), aiming to provide references for future interventions to improve the quality of patient decision-making. Methods Using convenience sampling, SMA patients admitted to the Department of Neurology, West China Hospital of Sichuan University between January 2023 and October 2025 were selected as study participants. Data were collected through questionnaires assessing general demographic characteristics, the Control Preferences Scale, and the Decisional Conflict Scale (DCS). Univariate analysis and multiple linear regression were employed to explore factors influencing patients’ decisional conflict. Results A total of 70 questionnaires were distributed, with 66 valid responses returned, resulting in an effective response rate of 94.3%. The standardized DCS score of SMA patients was 35.61±21.28, indicating moderate decisional conflict. Multiple linear regression analysis revealed that age [unstandardized partial regression coefficient (b)=?0.818, 95% confidence interval (?1.383, ?0.252), P=0.005] and residential location [b=?12.660, 95% confidence interval (?19.822, ?5.498), P=0.001] were independent influencing factors for decisional conflict, collectively explaining 35.0% of the variance (adjusted R2=0.318). Conclusions SMA patients exhibit moderate levels of disease-modifying therapy-related decisional conflict, with younger age and rural residence associated with more pronounced conflict. Clinical practice should focus on individual patient characteristics while enhancing decision aids and informational support to help reduce decisional uncertainty.
Objective To analyze the influencing factors of hemorrhagic transformation (HT) after intravenous thrombolysis with recombinant tissue plasminogen activator (rt-PA) in patients with acute ischemic stroke (AIS). Methods AIS patients hospitalized in the Department of Neurology of the First Affiliated Hospital of Zhengzhou University between June 2017 and June 2020 and receiving rt-PA intravenous thrombolysis were selected. Patients were divided into two groups according to whether they had HT, HT group and non-HT group. General data such as patient’s age, sex, past history, score of National Institute of Health Stroke Scale (NIHSS) before thrombolysis, and related biochemical examination indicators were collected, to analyze the difference between the patients with HT or not, and analyze the related factors affecting the HT of AIS patients after intravenous thrombolysis. Results A total of patients 323 were included. Among them, 46 cases (14.2%) had HT, and 277 cases (85.8%) had no-HT. Except for serum free triiodothyronine (FT3), atrial fibrillation, hypertension, cerebral infarction area, NIHSS score before thrombolysis, uric acid, blood glucose before thrombolysis, white blood cell count, albumin level, alanine aminotransferase, aspartate aminotransferase / alanine aminotransferase and C-reactive protein (P<0.05), there was no significant difference in other indexes between the two groups (P>0.05). Logistic regression analysis showed that NIHSS score≥13 before thrombolysis, aspartate aminotransferase / alanine aminotransferase, blood glucose before thrombolysis≥12.74 mmol/L, low FT3 level, massive cerebral infarction, and atrial fibrillation were independent risk factors for HT after thrombolysis in AIS. Conclusions FT3 and aspartate aminotransferase / alanine aminotransferase levels may be good biomarkers for predicting HT after intravenous thrombolysis. For patients with reduced albumin and uric acid levels, supplementation of exogenous uric acid and albumin may help reduce the risk of HT after AIS thrombolysis.
Objective To analyze the influencing factors of delirium after endovascular aortic repair, and to provide a basis for clinical nursing and prevention of this condition. Methods Patients who underwent endovascular aortic repair at Fuwai Hospital, Chinese Academy of Medical Sciences from 2018 to 2019 were selected. The Chinese version of the Nursing Delirium Screening Scale (Nu-DESC) was used to assess whether postoperative delirium occurred. Patients with a Nu-DESC score≥ 3 were assigned to the delirium group. Non-delirium patients who had the same surgeon and adjacent surgical order were selected at a 1 : 4 ratio to form the non-delirium group. Univariate analysis was performed on the clinical data of the two groups. Factors with P<0.1 in the univariate analysis and those considered clinically significant were included in a multivariate logistic regression analysis to identify the influencing factors of postoperative delirium. Stratified analysis was conducted based on thoracic endovascular aortic repair (TEVAR) and endovascular abdominal aortic repair (EVAR). Results A total of 213 patients were included, comprising 46 in the delirium group and 167 in the non-delirium group. The overall mean age was (60.3±12.0) years, and 183 (85.9%) were male. Univariate analysis showed that emergency admission, preoperative neutrophil percentage, aortic dissection, surgical duration, intubation time, and ICU stay may be associated with postoperative delirium. Multivariate analysis revealed that longer operative and intubation times were associated with a higher likelihood of delirium. In the stratified analysis, the results for the TEVAR group were consistent with the overall findings, whereas no significant differences were observed in the EVAR group. Conclusion Longer surgical and intubation times are associated with an increased risk of delirium in patients undergoing TEVAR. No significant factors influencing delirium are identified in patients undergoing EVAR.
