1.Effeits of sputum suction under laryngoscope on ischemic stroke-associated pneumonia
Qiancheng LUO ; Rui LIU ; Gang FENG ; Lei XU ; Min HANG ; Dongfeng GUO
Chinese Journal of Emergency Medicine 2017;26(6):674-678
Objective To investigate the impact of sputum suction under laryngoscope in stroke patients on the occurrence and prognosis of ischemic stroke-associated pneumonia (SAP).Methods A total of 127 cases with acute ischemic stroke (AIS) with Glasgow Coma Scale 6-12 scores,non-artificial airway and need for intensive care were enrolled.According to the suction practice,the cases were divided into laryngoscope euthyphoria group (practice group,PG,n =59),and conventional oral or nasal sputum suction group (control group,CG,n =68).The PG was perspectively studied,while the CG were analyzed retrospectively.All patients were cared with the Guidelines for the management of adult with hospitalacquired ventilator-associated and healthcare-associated pneumonia set by American Thoracic Society/Infectious Diseases Society of America in 2005 and the Guidelines for the early management of patients with acute ischemic stroke set by American Heart Association/American Stroke Association in 2013 including patting on the back of patients in prone position routinely in order to facilitating expectoration,phlegm elimination with physical vibration and apophlegmatic agent application during their stay in ICU.Incidences of SAP and 28-day mortality were calculated.Levels of inflammatory markers (white blood cell,WBC;highsensitive C-reaction protein;procalcitonin,PCT) in serum were detected.Adverse events related to laryngoscopy were documented.Results There were no significant differences in incidences of SAP and 28-day mortality between PG and CG groups (32.20% vs.41.18%,P > 0.05;47.37% vs.53.57,P > 0.05,respectively).However,there was statistically significant difference (P < 0.05) in the ICU stay length and inflammatory markers,and the sputum suction process in PG did decrease the incidence of artificial airway establishment and mechanical ventilation (18.64% vs.35.29%,P < 0.05),and the laryngoscope euthyphoria method was proved to be a protective factor (HR =0.515;95% CI 0.281-0.057,P =0.038).WBC and PCT were lower in PG group than in CG group (P < 0.05).Conclusion Sputum suction under laryngoscope can reduce the probability of artificial airway establishment and invasive ventilator employment in patients with AIS,shortening ICU stay length and down-regulating levels of WBC and PCT.
2.Comparison of H-uvulopalatopharyngoplasty and plasma-assisted H-uvulopalatopharyngoplasty in the treatment of obstructive sleep apnea hypopnea syndrome.
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2011;25(6):258-261
OBJECTIVE:
To compare the clinic effectiveness on OSAHS operated respectively by H-UPPP and plasma-assisted H-UPPP procedures,and to explore a utility operation procedure.
METHOD:
Thirty-five cases operated by H-UPPP and 29 cases by plasma-assisted H-UPPP, 6-36 months followed-up, the effectiveness analyzed and compared.
RESULT:
The difference of polysomnogram results between preoperative and postoperative in the two operation procedures were significantly(P < 0.05). But the total effectiveness of H-UPPP and plasma-assisted H-UPPP procedures were found to be similar (P > 0.05), nevertheless plasma-assisted H-UPPP procedure has a higher curing and excellence rate (P < 0.05).
CONCLUSION
The two operation procedures were in effect, the plasma-assisted H-UPPP procedure was more ascendant in extending the left and right diameter on pharyngeal cavity, increasing tension on soft palate.
Adult
;
Apnea
;
surgery
;
Cleft Palate
;
surgery
;
Female
;
Humans
;
Male
;
Middle Aged
;
Otorhinolaryngologic Surgical Procedures
;
methods
;
Palate
;
surgery
;
Palate, Soft
;
surgery
;
Pharynx
;
surgery
;
Sleep Apnea, Obstructive
;
surgery
;
Treatment Outcome
;
Uvula
;
surgery
;
Young Adult
3.Predictive value of CT imaging features in preoperative high-risk group of childhood hepatoblastoma
Gongwei ZHANG ; Cailei ZHAO ; Na LUO ; Diangang FANG ; Longwei SUN ; Huan ZHANG ; Meng YI ; Yungen GAN ; Qiancheng LI
Chinese Journal of Radiology 2021;55(9):981-986
Objective:To investigate the value of CT findings of childhood hepatoblastoma (HB) in predicting preoperative tumor risk stratification.Methods:Totally 46 children with HB confirmed by surgery and pathology were retrospectively enrolled from October 2010 to October 2019 in Shenzhen Children′s Hospital and Xuzhou Children′s Hospital. The preoperative abdominal plain CT and three-phasic contrast-enhanced CT with complete clinical files were evaluated. According to the clinical risk stratification established by the multidisciplinary diagnosis and treatment consensus for children with HB, the HB children were divided into high-risk group and non-high-risk group with 16 and 30 cases respectively. The maximum diameter of tumor, relative tumor volume index, cystic change or necrosis, bleeding, calcification, fibrous septations, tumor rupture, liver capsule retraction and subcapsular effusion were evaluated. Enhancement percentage and enhancement index on arterial, venous and delayed phases of each tumor were measured and calculated. Pearson′s χ 2 test or Fisher′s exact test were used to compare the differences in gender and lesion morphological characteristics between the high-risk group and the non-high-risk group. Two independent sample t test or Mann-Whitney U test were used to compare the differences in age, gestational age, birth weight, α-fetoprotein, platelets, maximum diameter of tumor, relative tumor volume index and CT parameters of the lesion between the two groups. Statistically significant features were included in the binary logistic regression analysis and independent predictors related to high-risk group were obtained. The ROC curve was used to determine the critical value of the high-risk group. Results:There were statistically significant differences in age, maximum diameter of tumor, relative tumor volume index and tumor rupture between the high-risk group and the non-high-risk group (all P<0.05). The logistic regression analysis showed that the maximum diameter of tumor (OR=1.906, P=0.004) and tumor rupture (OR=16.558, P=0.005) were risk factors of the high-risk group. Based on ROC curve, the optimum cut-off point of maximum diameter of tumor to predict high-risk group was 10.5 cm. Tumor rupture, maximum diameter of tumor and maximum diameter of tumor combined with tumor rupture for predicting the incidence of high-risk group resulted in the area under the curve of 0.744, 0.807 and 0.879, respectively. The sensitivity and specificity of maximum diameter of tumor combined with tumor rupture were 75.0% and 96.7%, respectively. Conclusion:The age of onset in high-risk group is relatively older. The maximum diameter of tumor greater than 10.5 cm accompanied by tumor rupture can be regarded as a high-risk sign.
4.Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers
Yi LU ; Jiachuan WU ; Minhui HU ; Qinghua ZHONG ; Limian ER ; Huihui SHI ; Weihui CHENG ; Ke CHEN ; Yuan LIU ; Bingfeng QIU ; Qiancheng XU ; Guangshun LAI ; Yufeng WANG ; Yuxuan LUO ; Jinbao MU ; Wenjie ZHANG ; Min ZHI ; Jiachen SUN
Gut and Liver 2023;17(6):874-883
Background/Aims:
The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation.
Methods:
We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals.
Results:
A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers.
Conclusions
We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.