Objective To determine the trend in the causes of admission among diabetic patients in West China Hospital from 1996 to 2005. Methods The medical records of diabetic inpatients from January 1996 to December 2005 were retrieved, and half of them were randomly selected. A questionnaire was completed and SPSS13.0 software was used for statistical analyses. Results The most common causes of admission for diabetic patients were diabetic chronic complications (20.2%), infection (19.5%), hyperglycemic symptoms (11.7%), malignant tumor (8.9%) and diabetic acute complications (5.8%). The constituent ratios of diabetic macrovascular disease and malignant tumor as the admission causes tended to increase, while the constituent ratios of diabetic microvascular disease, hyperglycemic symptoms and diabetic acute complications tended to decrease. Infection remained as one of the main causes of admission among diabetic patients. Conclusion The main cause of admission to West China Hospital for diabetic patients from 1996 to 2005 was diabetic chronic complications.
Objective To investigate the transferring methods of earthquake casualties accepted by the Department of Emergency, discuss the requirement for rescue materials in pre-hospital transference and provide information for transferring casualties after disasters in future. Methods Traumatic types and conditions of the wounded admitted by the Department of Emergency of West China Hospital within 3 weeks after Wenchuan earthquake,were collected. The characteristics of the wounded transferred by ambulances and helicopters were analyzed. Results Of the 2 338 wounded, ambulances transferred the most accounting for 60.56%, helicopter transferred 13.47%, and the other transport modes took up 25.96%. As for the macrotraumas, ambulances transferred more than helicopter and other transport mode did (Plt;0.05), while there was no statistical significance between helicopters and other transport modes(Pgt;0.05). Conclusion After the disaster, a field first-aid command system should be immediately established, casualties should be triaged concisely, an appropriate transference mode should be decided according to the degree of injuries and sufficient rescue materials should be provided based on different transference modes.
ObjectiveTo explore the distribution of multidrug resistant organism in neonates admitted to the hospital through various ways, and analyze the risk factors in order to avoid cross infection of multidrug resistant organism in neonatology department.
MethodsA total of 2 124 neonates were monitored from January 2012 to July 2013, among which 1 119 were admitted from outpatient department (outpatient group), 782 were transferred from other departments (other department group), and 223 were from other hospitals (other hospital group). We analyzed their hospital stays, weight, average length of stay, and drug-resistant strains, and their relationship with nosocomial infection.
ResultsAmong the 105 drug-resistant strains, there were 57 from the outpatient group, 27 from the other department group, and 21 from the other hospital group. The positive rate in the patients transferred from other hospitals was the highest (9.42%). Neonates with the hospital stay of more than 14 days and weighing 1 500 g or less were the high-risk groups of drug-resistant strains in nosocomial infection. Drug-resistant strains of nosocomial infection detected in the patients admitted through different ways were basically identical.
ConclusionWe should strengthen screening, isolation, prevention and control work in the outpatient neonate. At the same time, we can't ignore the prevention and control of the infection in neonates from other departments or hospitals, especially the prevention and control work in neonates with the hospital stay of more than 14 days and weighing 1 500 g or less to reduce the occurrence of multiple drug-resistant strains cross infection.
ObjectiveTo analyze the influencing factors of acute exacerbation readmission in elderly patients with chronic obstructive pulmonary disease (COPD) within 30 days, construct and validate the risk prediction model.MethodsA total of 1120 elderly patients with COPD in the respiratory department of 13 general hospitals in Ningxia from April 2019 to August 2020 were selected by convenience sampling method and followed up until 30 days after discharge. According to the time of filling in the questionnaire, 784 patients who entered the study first served as the modeling group, and 336 patients who entered the study later served as the validation group to verify the prediction effect of the model.ResultsEducation level, smoking status, number of acute exacerbations of COPD hospitalizations in the past 1 year, regular use of medication, rehabilitation and exercise, nutritional status and seasonal factors were the influencing factors of patients’ readmission to hospital. The risk prediction model was constructed: Z=–8.225–0.310×assignment of education level+0.564×assignment of smoking status+0.873×assignment of number of acute exacerbations of COPD hospitalizations in the past 1 year+0.779×assignment of regular use of medication+0.617×assignment of rehabilitation and exercise +0.970×assignment of nutritional status+assignment of seasonal factors [1.170×spring (0, 1)+0.793×autumn (0, 1)+1.488×winter (0, 1)]. The area under ROC curve was 0.746, the sensitivity was 75.90%, and the specificity was 64.30%. Hosmer-Lemeshow test showed that P=0.278. Results of model validation showed that the sensitivity, the specificity and the accuracy were 69.44%, 85.71% and 81.56%, respectively.ConclusionsEducation level, smoking status, number of acute exacerbations of COPD hospitalizations in the past 1 year, regular use of medication, rehabilitation and exercise, nutritional status and seasonal factors are the influencing factors of patients’ readmission to hospital. The risk prediction model is constructed based on these factor. This model has good prediction effect, can provide reference for the medical staff to take preventive treatment and nursing measures for high-risk patients.
ObjectiveTo systematically review the risk prediction models for readmission within 30 days after discharge in patients with chronic obstructive pulmonary disease (COPD), and provide a reference for clinical selection of risk assessment tools. MethodsDatabases including CNKI, Wanfang Data, VIP, CBM, PubMed, Embase, Web of Science, and Cochrane Library were searched for literature on this topic. The search time was from the inception of the database to April 25, 2023. Literature screening and data extraction were performed by two researchers independently. The risk of bias and applicability of the included literature were evaluated using the risk of bias assessment tool for predictive model studies. ResultsA total of 8 studies were included, including 14 risk prediction models for 30-day readmission of COPD patients after discharge. The total sample size was 125~8 263, the number of outcome events was 24~741, and the area under the receiver operating characteristic curve was 0.58~0.918. The top five most common predictors included in the model were smoking, comorbidities, age, education level, and home oxygen therapy. Although five studies had good applicability, all eight studies had a certain risk of bias. This is mainly due to the small sample size of the model, lack of reporting of blinding, lack of external validation, and inappropriate handling of missing data. ConclusionThe overall prediction performance of the risk prediction model for 30-day readmission of patients with COPD after discharge is good, but the overall research quality is low. In the future, the model should be continuously improved to provide a scientific assessment tool for the early clinical identification of patients with COPD at high risk of readmission within 30 days after discharge.
ObjectiveTo understand the current situation of unplanned readmission of colorectal cancer patients within 30 days after discharge under the enhanced recovery after surgery (ERAS) mode, and to explore the influencing factors.MethodsFrom May 7, 2018 to May 29, 2020, 315 patients with colorectal cancer treated by Department of Gastrointestinal Surgery, West China Hospital, Sichuan University and managed by ERAS process during perioperative period were prospectively selected as the research objects. The general data, clinical disease data and discharge readiness of patients were obtained by questionnaire and electronic medical record. Telephone follow-up was used to find out whether the patient had unplanned readmission 30 days after discharge and logistic regression was used to analyze the influencing factors of unplanned readmission within 30 days after discharge.ResultsWithin 30 days after discharge, 37 patients were admitted to hospital again, the unplanned readmission rate was 11.7%. The primary cause of readmission was wound infection. Logistic regression analysis showed that the body mass decreased by more than 10% in recent half a year (OR=2.611, P=0.031), tumor location in rectum (OR=3.739, P=0.026), operative time ≤3 hours (OR=0.292, P=0.004), and discharge readiness (OR=0.967, P<0.001) were independent predictors of unplanned readmission.ConclusionsUnder the ERAS mode, the readmission rate of colorectal cancer patients within 30 days after discharge is not optimistic. Attention should be focused on patients with significant weight loss, rectal cancer, more than 3 hours of operative time, and low readiness for discharge. Among them, the patient’s body weight and discharge readiness are the factors that can be easily improved by clinical intervention. It can be considered as a new way to reduce the rate of unplanned readmission by improving the patients’ physical quality and carrying out discharge care program.
