Résumé
Objective:To explore the influencing factors of psychological distress in middle-aged and young stroke patients to provide evidence for improving the mental health of the patients and guiding clinical psychological nursing interventions.Methods:A cross-sectional survey was conducted on 447 middle-aged and young patients with stroke hospitalized in four hospitals in Tianjin from March 2022 to January 2023.Various assessment scales were employed, including a general data questionnaire, distress thermometer, numerical rating scale, family APGAR index, perceived social support scale, general self-efficacy scale, Herth hope index, self-rating anxiety scale and self-rating depression scale.Statistical analyses were performed using encompassing descriptive statistics, Wilcoxon Mann-Whitney test, Kruskal Wallis test, Spearman correlation analysis, and structural equation modeling of SPSS 25.0 and AMOS 24.0.Results:The psychological distress score of middle-aged and young stroke patients was 1(1, 2). Age( Z=-5.497), marital status( Z=-2.755), number of children( H=25.448), co-residents( H=14.389), occupation( H=34.889), per capita monthly family income( H=19.105), hospitalized caregivers( H=23.794), stroke type( H=23.308), course of disease( H=10.649), number of chronic diseases( H=8.021), daily self-care ability( H=128.439), eating status( H=41.904), physical status( H=49.786), excretion status( H=112.736), dressing ability( H=63.036), nutritional status( H=15.514), organ injury status ( H=23.797)and edema status( Z=-4.307)affected the psychological distress of middle-aged and young stroke patients, and the differences were statistically significant (all P<0.05). Correlation analysis showed that psychological distress were positively correlated with pain(1(1, 1)), anxiety(36(27, 53)) and depression(31(27, 58)) ( r=0.390, 0.525, 0.591, all P<0.001), while were negatively with family caring degree(10(10, 10)), perceptive social support(72(67, 74)), general self-efficacy(35(29, 38)) and hope level(41(36, 45)) ( r=-0.200, -0.464, -0.647, -0.675, all P<0.01). Results of the structural equation model of the influencing factors of psychological distress in middle-aged and young stroke patients showed that a total of 5 common factors were extracted, which were named support system, daily activities, disease condition, general condition and physical burden.Disease condition and physical burden had direct positive effects on psychological distress ( β=0.385, 0.204, both P<0.05). Support system, daily activities and general situation had direct negative effects on psychological distress ( β=-0.332, -0.262, -0.258, all P<0.05). Conclusions:The influencing factors of psychological distress in middle-aged and young stroke patients are disease status, support system, daily activities, general conditions and physical burden, which can provide theoretical basis for nurses to carry out active and effective prevention and nursing intervention on psychological distress in middle-aged and young stroke patients.
Résumé
Objective:To evaluate the effect of gonadotropin-releasing hormone agonist(GnRH-a)protocol and gonadotropin-releasing hormone antagonist(GnRH-ant)protocol in POSEIDON group 1.Methods:From January 2019 to December 2020,399 patients in POSEIDON group 1 who underwent assisted reproductive technology in the Center of Reproductive Medicine,Affiliated Hospital of Nantong University were retrospectively analyzed.Cohorts with similar baseline characteristics were screened by 1 ∶1 propensity score matching(PSM),and base-line data,clinical and laboratory parameters,and clinical outcomes were compared between GnRH-a and Gn-RH-ant groups.Results:①100 patients from GnRH-a group and 100 patients from GnRH-ant group were matched.②The total dose and total use time of gonadotropin(Gn)in GnRH-a group were higher than those in GnRH-ant group(P<0.001,P =0.048),and the hormone levels of luteinizing hormone,estradiol and progester-one on the day of HCG injection were lower than those in GnRH-ant group(P<0.001,P =0.011,P<0.001).There was no statistical difference in the number of follicles between the two groups(P>0.05),the number of oocytes retrieved,mature oocytes,normal fertilized oocytes,high-quality embryos and available embryos were lower in GnRH-a group than those in GnRH-ant group(P<0.01).③In GnRH-a group,the time to live birth(TTLB)was higher than GnRH-ant group(P =0.005),and the cumulative live birth rate(CLBR)was lower than GnRH-ant group(P =0.048),and there was no statistical difference in the number of transplants(P =0.536)and cumulative pregnancy rates(P =0.084)between the two groups.④The economic cost to live birth of GnRH-a group was higher than that of GnRH-ant group(P =0.02).Conclusions:Compared with GnRH-a group,Gn-RH-ant group could improve the cumulative live birth rate of a single ovulation induction cycle in patients in PO-SEIDON group 1,shorten the time to live birth and reduce the treatment cost of patients,and was the preferred protocol for patients in POSEIDON group 1.
Résumé
Objective:To construct a prediction model of psychological distress risk in young and middle-aged patients with gynecologic malignancy based on random forest algorithm and validate its prediction effect, which provided a tool for healthcare professionals to detect patients′ psychological distress in early stage.Methods:This was a cross-sectional study, a total of 385 cases of young and middle-aged patients with gynecologic malignancies admitted to the gynecology and oncology departments of six tertiary hospitals in Tianjin from October 2021 to October 2022 were consecutively included, the study subjects were randomly divided into 270 cases in the training set and 115 cases in the testing set according to 7:3 by R-studio software. After grouping the training set patients according to the presence or absence of psychological distress (positive psychological distress 151 cases and negative psychological distress 119 cases), univariate analysis was performed on each influencing factor. A random forest model for the prediction of psychological distress in young and middle-aged gynecological malignancy patients using R-studio software on the training set, and the prediction effect was verified on the testing set.Results:The prediction accuracy was 94.78%, sensitivity was 96.88%, specificity was 92.16%, positive predictive value was 93.94%, negative predictive value was 95.92%, and AUC was 0.992 (95% CI 0.982-1.000). The top 5 significant predictor variables were ranked according to the average decrease in the Gini coefficient of each influencing factor in the random forest model: General Self-Efficacy Scale score, Herth Hope Index score, Perceived Social Support Scale score, Self-Rating Depression Scale score, Self-Rating Anxiety Scale score. Conclusions:In this study, the prediction model of psychological distress in young and middle-aged patients with gynecologic malignancy constructed by random forest algorithm has high predictive efficacy, which provides reference for healthcare professionals to identify patients′ psychological distress early and formulate interventions.