Objective To investigate the risk factors of febrile seizures(FS)in children,construct a visualization nomogram predic-tion model of FS and verify its effectiveness.Methods A retrospective analysis was conducted on the clinical data of 1320 children with fever admitted to the Gansu Provincial Maternity and Child-care Hospital(Gansu Provincial Central Hospital)from January 2019 to De-cember 2022.The samples were randomly divided into the training set and the validation set at a ratio of 7∶3.The clinical characteristics and laboratory examination of the two groups were compared.LASSO regression was used to select the risk factors for FS,and multivariate Logistic regression analysis was performed on the predictors,and construction a prediction mode,and the discrimination,calibration and clinical applicability of the model were evaluated.Results The results showed that age,low body weight,peak temperature,diurnal changes in onset,upper respiratory tract infection,serum sodium,serum calcium,white blood cell,procalcitonin were independent risk factors for FS in children.A predictive model was constructed and a nomogram was developed with these factors.The area under the re-ceiver operating characteristic(ROC)curve of the training set and the validation set were 0.870(95％CI:0.847-0.893)and 0.855(95％CI:0.817-0.894),respectively.The calibration plots and Hosmer-Lemeshow goodness-of-fit test showed its satisfactory cali-bration.The decision curve analysis(DCA)curve showed that the model provided a good net benefit with threshold probabilities when training set was＞5％,while in the validation set it was＞8％.Conclusion The risk prediction model based on LASSO-Logistic re-gression analysis can provide reference for early risk assessment of children with FS.

Objective To investigate the risk factors of febrile seizures(FS)in children,construct a visualization nomogram predic-tion model of FS and verify its effectiveness.Methods A retrospective analysis was conducted on the clinical data of 1320 children with fever admitted to the Gansu Provincial Maternity and Child-care Hospital(Gansu Provincial Central Hospital)from January 2019 to De-cember 2022.The samples were randomly divided into the training set and the validation set at a ratio of 7∶3.The clinical characteristics and laboratory examination of the two groups were compared.LASSO regression was used to select the risk factors for FS,and multivariate Logistic regression analysis was performed on the predictors,and construction a prediction mode,and the discrimination,calibration and clinical applicability of the model were evaluated.Results The results showed that age,low body weight,peak temperature,diurnal changes in onset,upper respiratory tract infection,serum sodium,serum calcium,white blood cell,procalcitonin were independent risk factors for FS in children.A predictive model was constructed and a nomogram was developed with these factors.The area under the re-ceiver operating characteristic(ROC)curve of the training set and the validation set were 0.870(95％CI:0.847-0.893)and 0.855(95％CI:0.817-0.894),respectively.The calibration plots and Hosmer-Lemeshow goodness-of-fit test showed its satisfactory cali-bration.The decision curve analysis(DCA)curve showed that the model provided a good net benefit with threshold probabilities when training set was＞5％,while in the validation set it was＞8％.Conclusion The risk prediction model based on LASSO-Logistic re-gression analysis can provide reference for early risk assessment of children with FS.

OBJECTIVES: With the increasing detection rate of lung nodules, the qualitative problem of lung nodules has become one of the key clinical issues. This study aims to evaluate the value of combining dynamic contrast-enhanced (DCE) MRI based on time-resolved imaging with interleaved stochastic trajectories-volume interpolated breath hold examination (TWIST-VIBE) with T₁ weighted free-breathing star-volumetric interpolated breath hold examination (T₁WI star-VIBE) in identifying benign and malignant lung nodules. METHODS: We retrospectively analyzed 79 adults with undetermined lung nodules before the operation. All nodules of patients included were classified into malignant nodules (n=58) and benign nodules (n=26) based on final diagnosis. The unenhanced T₁WI-VIBE, the contrast-enhanced T₁WI star-VIBE, and the DCE curve based on TWIST-VIBE were performed. The corresponding qualitative [wash-in time, wash-out time, time to peak (TTP), arrival time (AT), positive enhancement integral (PEI)] and quantitative parameters [volume transfer constant (Ktrans), interstitium-to-plasma rate constant (Kep), and fractional extracellular space volume (Ve)] were evaluated. Besides, the diagnostic efficacy (sensitivity and specificity) of enhanced CT and MRI were compared. RESULTS: There were significant differences in unenhanced T₁WI-VIBE hypo-intensity, and type of A, B, C DCE curve type between benign and malignant lung nodules (all P<0.001). Pulmonary malignant nodules had a shorter wash-out time than benign nodules (P=0.001), and the differences of the remaining parameters were not statistically significant (all P>0.05). After T₁WI star-VIBE contrast-enhanced MRI, the image quality was further improved. Compared with enhanced CT scan, the sensitivity (82.76% vs 80.50%) and the specificity (69.23% vs 57.10%) based on MRI were higher than that of CT (both P<0.001). CONCLUSIONS T₁WI star-VIBE and dynamic contrast-enhanced MRI based on TWIST-VIBE were helpful to improve the image resolution and provide more information for clinical differentiation between benign and malignant lung nodules.
Adult ; Humans ; Retrospective Studies ; Magnetic Resonance Imaging ; Plasma ; Tomography, X-Ray Computed ; Lung

Objective: To study the distribution and related factors of curative care expenditure (CCE) of injury in Gansu Province in 2017. Methods: Based on the "A System of Health Accounts 2011 (SHA 2011)", the curative care expenditure of injury in Gansu Province was calculated and analyzed. The five-stage stratified cluster sampling method was adopted to extract 149 medical and health institutions, 120 township hospitals (including community health service centers), 150 individual clinics and 600 village clinics (including community health service stations). The top-down allocation method was used to calculate the cost of injury treatment in Gansu Province, and the influencing factors were analyzed by multiple linear regression. Results: In 2017, the CCE of injury in Gansu province was 3.831 billion yuan, and the expense in general hospitals was 2.708 billion yuan. Among them, the cost of lower limb injury and head injury were 1.090 and 0.847 billion yuan. People aged 40 to 69 years old spent 1.901 billion yuan on injury treatment, and the CCE of injury treatment for men and women were 2.422 and 1.409 billion yuan respectively. The results of multiple linear regression showed that hospitalization expenditure was significantly associated with length of stay, operation, hospital grade, age, payment method and gender (P<0.001). Conclusion The economic burden of injury in Gansu Province is relatively heavy, so it is necessary to focus on preventions for different groups and costly injury sites.

Objective To study the distribution and related factors of curative care expenditure (CCE) of injury in Gansu Province in 2017. Methods Based on the "A System of Health Accounts 2011 (SHA 2011)", the curative care expenditure of injury in Gansu Province was calculated and analyzed. The five?stage stratified cluster sampling method was adopted to extract 149 medical and health institutions, 120 township hospitals (including community health service centers), 150 individual clinics and 600 village clinics (including community health service stations). The top?down allocation method was used to calculate the cost of injury treatment in Gansu Province, and the influencing factors were analyzed by multiple linear regression. Results In 2017, the CCE of injury in Gansu province was 3.831 billion yuan, and the expense in general hospitals was 2.708 billion yuan. Among them, the cost of lower limb injury and head injury were 1.090 and 0.847 billion yuan. People aged 40 to 69 years old spent 1.901 billion yuan on injury treatment, and the CCE of injury treatment for men and women were 2.422 and 1.409 billion yuan respectively. The results of multiple linear regression showed that hospitalization expenditure was significantly associated with length of stay, operation, hospital grade, age, payment method and gender (P<0.001). Conclusion The economic burden of injury in Gansu Province is relatively heavy, so it is necessary to focus on preventions for different groups and costly injury sites.

Objective To study the distribution and related factors of curative care expenditure (CCE) of injury in Gansu Province in 2017. Methods Based on the "A System of Health Accounts 2011 (SHA 2011)", the curative care expenditure of injury in Gansu Province was calculated and analyzed. The five?stage stratified cluster sampling method was adopted to extract 149 medical and health institutions, 120 township hospitals (including community health service centers), 150 individual clinics and 600 village clinics (including community health service stations). The top?down allocation method was used to calculate the cost of injury treatment in Gansu Province, and the influencing factors were analyzed by multiple linear regression. Results In 2017, the CCE of injury in Gansu province was 3.831 billion yuan, and the expense in general hospitals was 2.708 billion yuan. Among them, the cost of lower limb injury and head injury were 1.090 and 0.847 billion yuan. People aged 40 to 69 years old spent 1.901 billion yuan on injury treatment, and the CCE of injury treatment for men and women were 2.422 and 1.409 billion yuan respectively. The results of multiple linear regression showed that hospitalization expenditure was significantly associated with length of stay, operation, hospital grade, age, payment method and gender (P<0.001). Conclusion The economic burden of injury in Gansu Province is relatively heavy, so it is necessary to focus on preventions for different groups and costly injury sites.