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1.
Journal of Public Health and Preventive Medicine ; (6): 113-115, 2024.
Article in Chinese | WPRIM | ID: wpr-1005919

ABSTRACT

Objective To assess the risk of nosocomial infection in patients with multiple myeloma during their first hospitalization. Methods Totally 480 patients with multiple myeloma who were hospitalized for the first time in department of hematology of West China Hospital, Sichuan University from August 2021 to August 2022 were included, and the nosocomial infection during treatment was statistically analyzed. The patients were divided into infected group and uninfected group. The independent influencing factors of nosocomial infection were analyzed and a prediction model was established. The reliability of the prediction model was analyzed by receiver operating characteristic curve (ROC). Results The incidence rate of nosocomial infection was 31.2% among 480 patients hospitalized for the first time. There were statistically significant differences in age, ISS staging, controlling nutritional status (CONUT) score, agranulocytosis, hemoglobin, and albumin between the infected group and the uninfected group (P<0.05). Logistic multivariate regression analysis showed that age, ISS staging, CONUT score, agranulocytosis, hemoglobin level, and albumin level were all independent correlated factors of nosocomial infection in patients with multiple myeloma hospitalized for the first time (P<0.05). The area under the ROC curve (AUC), sensitivity and specificity of multivariate logistic regression prediction model were 0.88 (95%CI: 0.840-0.920), 85.00% and 76.36%, respectively. Conclusion The incidence rate of nosocomial infection is high among patients with multiple myeloma in the first hospitalization. The prediction model established according to independent correlated factors of nosocomial infection has high predictive value on the occurrence of nosocomial infection.

2.
Sichuan Mental Health ; (6): 132-136, 2022.
Article in Chinese | WPRIM | ID: wpr-987427

ABSTRACT

ObjectiveTo explore the characteristics of impulsivity in adolescent depressive disorder patients with non-suicidal self-injury (NSSI) behavior, analyze the relationship between NSSI behavior and impulsivity, so as to identify patients with NSSI behavior and provide targeted intervention at early stages. MethodsA total of 53 adolescent patients with depressive disorder who were hospitalized for the first hospitalization in Shenzhen Kangning Hospital were enrolled, diagnosed using Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). Thereafter, the adolescents were divided into NSSI group (n=30) and non-NSSI group (n=23). Hamilton Depression Scale-17 item (HAMD-17), Adolescents Self-Harm Scale and Barratt Impulsivity Scale (BIS-11) were used to evaluate the severity of depression, NSSI and impulsivity. ResultsCompared with the non-NSSI group, the NSSI group scored higher on HAMD-17 [(25.50±4.10) vs. (21.43±4.64), t=3.379, P<0.01], motor impulsiveness of BIS-11 [(51.67±15.95) vs. (38.70±14.90), t=3.018, P<0.01], cognitive impulsiveness [(52.75±13.22) vs. (43.37±18.40), t=2.161, P<0.05], non-planning impulsiveness [(68.00±15.32) vs. (50.76±21.35), t=3.424, P<0.01] and BIS-11 [(57.42±11.08) vs. (44.27±14.83), t=3.695, P<0.01]. Within NSSI group, the score of Adolescents Self-Harm Scale was positively correlated with the score of motor impulsiveness in BIS-11 (r=0.691, P<0.01). Binary Logistic regression analysis showed that HAMD-17 score (β=0.172, OR=1.187, 95% CI: 1.007~1.400) and non-planning impulsiveness of BIS-11 (β=0.044, OR=1.045, 95% CI: 1.002~1.091) were associated with NSSI in adolescent patients with depressive disorder (P<0.05). ConclusionThe severity of depressive symptoms and non-planning impulsiveness may be risk factors for NSSI behavior in adolescent patients with depressive disorder.

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