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1.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-907862

RESUMO

Objective:To explore the clinical efficiency evaluation and prognostic factors of aspiration guided by neuronavigation in the treatment of pediatric brain abscess (PBA).Methods:A total of 47 patients with PBA were treated with aspiration guided by neuronavigation between January 2013 and January 2019 at the First Affiliated Hospital of Zhengzhou University.All clinical data were retrospectively analyzed.According to Glasgow Outcome Scale on discharge, all children were divided into 2 groups, namely good prognosis group and poor prognosis group.Prognostic factors were analyzed by using univariate analysis and binary Logistic regression multivariate analysis. Results:Among the 47 children, 38 children (80.9%) were assigned to the good prognosis group, and 9 children (19.1%) were assigned to the poor prognosis group.Univariate analysis proved that abscess volume>4 cm( χ2=5.650, P=0.017), multiple or multilocular abscess ( χ2=3.258, P=0.027), and abscess located in functional areas ( χ2=6.187, P=0.013) were correlated with poor prognosis.Multivariate analysis revealed that abscess volume>4 cm( OR=5.913, 95% CI: 2.241-25.917, P=0.023) and abscess located in functional areas ( OR=10.519, 95% CI: 3.918-62.513, P<0.001) were independent risk factors for poor prognosis. Conclusion:The treatment of PBA with aspiration guided by neuronavigation is safe, effective and minimal invasive, and the clinical efficiency is satisfactory.Abscess volume>4 cm and abscess located in deepbrain/functional areas are independent risk factors for poor prognosis.

2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-882912

RESUMO

Objective:To explore the diagnosis, treatment and prognostic of pediatric intracranial atypical teratoid/rhabdoid tumor(AT/RT).Methods:A total of 15 pediatric patients with intracranial AT/RT were treated between January 2012 and June 2019 at the First Affiliated Hospital of Zhengzhou University.The clinical data were retrospectively analyzed.Overall survival (OS) rate and progression free survival (PFS) rate were calculated by adopting Kaplan- Meier method.The differences between the 2 groups were tested by performing Log- rank method, and the prognostic factors were analyzed by COX regression. Results:There were 12 males and 3 females, with the median age of 5.5 years (ranging from 8 months to 17.1 years). All patients underwent surgical resection.Gross-total resection (GTR) was achieved in 10 cases and subtotal resection (STR) was carried out in 5 patients.The conducted treatments were as follows: surgery+ radiotherapy+ chemotherapy+ intrathecal injection in 6 cases, surgery+ chemotherapy+ intrathecal injection in 4 cases, surgery+ radiotherapy in 2 cases, and surgery alone in 3 cases.Until January 2020, the median survival time of all the 15 patients was 18 months (ranged 1-27 months), and the survival rate was 33.3%.The 1-year OS rate and PFS rate for all 15 cases were 71.5% and 49.7%, respectively.The 2-year OS rate and PFS rate were 17.9% and 0, respectively. Log- rank analyses revealed that the 1-year OS rates of children less than 3 years old and those older than 3 years were 87.5% and 57.1%, respectively ( χ2=6.057, P=0.014). The 1-year OS rates of children with GTR and those with STR were 90.0% and 40.0%, respectively ( χ2=6.057, P=0.014). The 1-year OS rates of children with tumor dissemination and those without tumor dissemination were 100.0% and 33.3%, respectively( χ2=9.865, P=0.002). The 1-year OS rates of children in the standard-risk group and those in the high-risk group were 88.9% and 41.7%, respectively ( χ2=5.111, P=0.024). COX regression analyses proved that age, the extent of tumor resection, tumor dissemination and risk stratification are independent risk factors for prognosis [hazard radio( HR)=3.411, 3.795, 5.245, 3.397; P=0.025, 0.011, 0.001, 0.017]. Conclusions:Pediatric intracranial AT/RT is rare.The preliminary diagnosis and prognosis are difficult and poor, respectively.The complete resection of tumors with maximal safety remains the primary treatment.Age, the extent of tumor resection, tumor dissemination and risk stratification are independent prognostic factors for AT/RT children.

3.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20071019

RESUMO

ABATRACTO_ST_ABSIMPORTANCEC_ST_ABSIn the epidemic, surgeons cannot distinguish infectious acute abdomen patients suspected COVID-19 quickly and effectively. OBJECTIVETo develop and validate a predication model, presented as nomogram and scale, to distinguish infectious acute abdomen patients suspected coronavirus disease 2019 (COVID-19). DESIGNDiagnostic model based on retrospective case series. SETTINGTwo hospitals in Wuhan and Beijing, China. PTRTICIPANTS584 patients admitted to hospital with laboratory confirmed SARS-CoV-2 from 2 Jan 2020 to15 Feb 2020 and 238 infectious acute abdomen patients receiving emergency operation from 28 Feb 2019 to 3 Apr 2020. METHODSLASSO regression and multivariable logistic regression analysis were conducted to develop the prediction model in training cohort. The performance of the nomogram was evaluated by calibration curves, receiver operating characteristic (ROC) curves, decision curve analysis (DCA) and clinical impact curves in training and validation cohort. A simplified screening scale and managing algorithm was generated according to the nomogram. RESULTSSix potential COVID-19 prediction variables were selected and the variable abdominal pain was excluded for overmuch weight. The five potential predictors, including fever, chest computed tomography (CT), leukocytes (white blood cells, WBC), C-reactive protein (CRP) and procalcitonin (PCT), were all independent predictors in multivariable logistic regression analysis (p [≤]0.001) and the nomogram, named COVID-19 Infectious Acute Abdomen Distinguishment (CIAAD) nomogram, was generated. The CIAAD nomogram showed good discrimination and calibration (C-index of 0.981 (95% CI, 0.963 to 0.999) and AUC of 0.970 (95% CI, 0.961 to 0.982)), which was validated in the validation cohort (C-index of 0.966 (95% CI, 0.960 to 0.972) and AUC of 0.966 (95% CI, 0.957 to 0.975)). Decision curve analysis revealed that the CIAAD nomogram was clinically useful. The nomogram was further simplified into the CIAAD scale. CONCLUSIONSWe established an easy and effective screening model and scale for surgeons in emergency department to distinguish COVID-19 patients from infectious acute abdomen patients. The algorithm based on CIAAD scale will help surgeons manage infectious acute abdomen patients suspected COVID-19 more efficiently.

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