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The high incidence of unplanned readmission of postoperative patients with gynecologic malignancies not only seriously affects the quality of life of patients, but also increases the medical burden. This paper reviews the current situation, common causes, relevant factors and insights of unplanned readmission of postoperative gynecologic malignancy patients, and further explores the unplanned readmission of postoperative gynecologic malignancy patients in China by drawing on existing foreign studies and combining them with the actual situation in China, with the aim of providing a basis for clinical health care professionals to develop targeted intervention plans, so as to effectively reduce the unplanned readmission of postoperative gynecologic malignancy patients.
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Objective:To explore the risk factors of unplanned readmission in patients with acute myocardial infarction, and to construct a risk prediction model.Methods:This study used cross-sectional survey method. A total of 270 acute myocardial infarction patients admitted from Tianjin Union Medical Cencer from March 2020 to March 2021 were evaluated in a cardiology department. We used the electronic medical record system to collect the patients′ data. Patients were divided into two groups according to the occurrence of readmission within 1 year or not. Logistic regression analysis was performed to identify risk factors and formulated prediction model.Results:Totally 81 patients (30%) were readmitted. Binary Logistic regression model showed that the independent influencing factors of unplanned readmission in acute myocardial infarction patients included smoking ( X1), hypertension ( X2), marital status ( X3), hospitalization days ( X4), percutaneous coronary intervention ( X5), and heart failure ( X6). Area under ROC curve was 0.840, the maximum value of the Youden index was 0.560, and the sensitivity was 85.2%, the specificity was 70.8%, and the cutoff value was 0.377. Prediction model expression of unplanned readmission risk in patients with acute myocardial infarction was Logit(p/1-p)=-4.012+1.172 X1+1.104 X2+0.992 X3+0.118 X4+1.191 X5+1.093 X6. Conclusions:The risk prediction model of unplanned readmission in patients with acute myocardial infarction established in this article was with a good predictive effect, and it could be used in early identification of those patients with high-risk in unplanned readmission. At the same time, combined with the risk factors of depression, targeted intervention measures can be formulated.
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OBJECTIVES@#To investigate the current status of unplanned readmission of neonates within 31 days after discharge from the neonatal intensive care unit (NICU) and risk factors for readmission.@*METHODS@#A retrospective analysis was performed on the medical data of 1 561 infants discharged from the NICU, among whom 52 infants who were readmitted within 31 days were enrolled as the case group, and 104 infants who were not readmitted after discharge during the same period of time were enrolled as the control group. Univariate analysis and multivariate logistic regression analysis were performed to identify the risk factors for readmission.@*RESULTS@#Among the 1 561 infants, a total of 63 readmissions occurred in 52 infants, with a readmission rate of 3.33%. hyperbilirubinemia and pneumonia were the main causes for readmission, accounting for 29% (18/63) and 24% (15/63) respectively. The multivariate logistic regression analysis showed that that gestational age <28 weeks, birth weight <1 500 g, multiple pregnancy, mechanical ventilation, and length of hospital stay <7 days were risk factors for readmission (OR=5.645, 5.750, 3.044, 3.331, and 1.718 respectively, P<0.05).@*CONCLUSIONS@#Neonates have a relatively high risk of readmission after discharge from the NICU. The medical staff should pay attention to risk factors for readmission and formulate targeted intervention measures, so as to reduce readmission and improve the quality of medical service.
Subject(s)
Female , Humans , Infant , Infant, Newborn , Pregnancy , Intensive Care Units, Neonatal , Patient Discharge , Patient Readmission , Retrospective Studies , Risk FactorsABSTRACT
Objective:To systematically evaluate the rate of unplanned readmissions for children at 30 days after cardiac surgery, the causes and risk factors for unplanned readmissions for children at 30 days after cardiac surgery.Methods:We searched PubMed, Embase, Web of Science, CBM, CNKI, Wanfang Data, and VIP database to collect studies from inception to August 15, 2020 of unplanned readmission of children after cardiac surgery.RevMan5.3 software was used for Meta-analysis.Results:A total of 13 studies, involving 81 633 patients were included.Meta-analysis results showed that the unplanned readmission rate of children 30 days after cardiac surgery was 11.5%(95% CI 9.9%-13%). Cardiac complications[24%(95% CI 10.7%-45.7%)], infections[18.7%(95% CI 13.7%-25.3%)], respiratory complications[18.0%(95% CI 10.7%-27.5%)], pleural effusion[11.5%(95% CI 8.3%-16.7%)], and gastrointestinal complications[12.3%(95% CI 8.3%-17.4%)] were the main reasons for unplanned 30-day readmission, with statistically significant differences( P<0.001). Genetic syndrome( OR=1.25, 95% CI 1.18-1.33, P<0.05) and postoperative hospital stay >14 days( OR=1.62, 95% CI 1.05-2.50, P<0.05) were risk factors for unplanned 30-day readmission. Conclusion:The incidence rate of unplanned readmission among the children 30 days after cardiac surgery is relatively high.Cardiac complications, infection, respiratory complications, pleural effusion, and gastrointestinal complications are the main reasons for 30-day unplanned readmission.The genetic syndrome and postoperative hospital stay >14 days in children 30 days after cardiac surgery are the risk factors for unplanned readmission.