Objective To observe the value of preoperative CT radiomics models for predicting composition of in vivo urinary calculi.Methods Totally 543 urolithiasis patients were retrospectively enrolled and divided into calcium...Objective To observe the value of preoperative CT radiomics models for predicting composition of in vivo urinary calculi.Methods Totally 543 urolithiasis patients were retrospectively enrolled and divided into calcium oxalate monohydrate stone group(group A,n=373),anhydrous uric acid stone group(group B,n=86),carbonate apatite group(group C,n=30),ammonium urate stone group(group D,n=28)and ammonium magnesium phosphate hexahydrate stone group(group E,n=26)according to the composition of calculi,also divided into training set and test set at the ratio of 7∶3.Radiomics features were extracted and screened based on plain CT images of urinary system.Five binary task models(model A—E corresponding to group A—E)and a quinary task model were constructed using least absolute shrinkage and selection operator algorithm for predicting the composition of calculi in vivo.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the predictive efficacy of binary task models,while the accuracy,precision,recall and F1 score were used to evaluate the predictive efficacy of the quinary task model.Results All binary task models had good efficacy for predicting the composition of urinary calculi in vivo,with AUC of 0.860—0.948 in training set and of 0.856—0.933 in test set.The accuracy,precision,recall and F1 score of the quinary task model for predicting the composition of in vivo urinary calculi was 82.25%,83.79%,46.23%and 0.596 in training set,respectively,while was 80.63%,75.26%,43.48%and 0.551 in test set,respectively.Conclusion Binary task radiomics models based on preoperative plain CT had good efficacy for predicting the composition of in vivo urinary calculi,while the quinary task radiomics model had high accuracy but relatively poor stability.展开更多
目的了解贵州省黔西南州新生儿重症监护病房(neonatal intensive care unit,NICU)母乳喂养情况及医生和护士母乳喂养知识、态度、实践现状,为母乳喂养质量改进提供基础资料。方法编制NICU母乳喂养知识、态度、实践调查问卷,问卷分为知...目的了解贵州省黔西南州新生儿重症监护病房(neonatal intensive care unit,NICU)母乳喂养情况及医生和护士母乳喂养知识、态度、实践现状,为母乳喂养质量改进提供基础资料。方法编制NICU母乳喂养知识、态度、实践调查问卷,问卷分为知识、态度和实践3个维度,分别有7(总分7分)、9(总分45分)和7个条目(总分35分),得分越低表示母乳喂养认识越薄弱;并设置最影响母乳喂养因素的5个条目。于2023年11月25日至30日对贵州省黔西南州9家医院新生儿科的有执业资格证书且在本科室工作满1年的医生和护士开展调查。采用两独立样本t检验和χ^(2)检验比较不同级别医院、同级别医院医生和护士在NICU母乳喂养知识、态度、实践维度的得分情况。结果(1)9家医院中3家为三级甲等(简称三甲)医院,实际纳入调查的医生占医生总数的95.6%(43/45),护士占护士总数的96.5%(110/114);6家二级甲等(简称二甲)医院,实际纳入调查的医生占医生总数的95.0%(38/40),护士占护士总数的97.6%(83/85)。(2)9家单位均为爱婴医院,院内均有母乳喂养宣传资料,其中6家医院NICU开展母乳喂养,全州2021年至2023年NICU母乳喂养率平均为25.8%。(3)同级别医院内,医生参加过母乳喂养培训的比例均高于护士[三甲医院:69.8%(30/43)与40.0%(44/110),χ^(2)=10.97,P=0.001;二甲医院:47.4%(18/38)与24.1%(20/83),χ^(2)=6.55,P=0.010],但比例均较低。(4)三甲医院中,医生态度维度总分高于护士[(35.35±4.75)与(33.18±5.60)分,t=-2.03,P=0.044]、实践维度总分也高于护士[(26.98±3.00)与(25.60±3.75)分,t=-2.17,P=0.032];二甲医院中,医生知识维度总分高于护士[(4.92±1.44)与(4.20±1.45)分,t=-2.52,P=0.013]。三甲医院医生态度及实践维度总分均高于二甲医院医生,三甲医院护士知识、态度及实践维度总分均高于二甲医院护士(P值均<0.05)。(5)知识维度中,三甲医院医生得分最低的条目为“母亲乙型肝炎新生儿生后接种疫苗和免疫球蛋白后可母乳喂养”,三甲医院护士以及二甲医院医生和护士得分最低的条目为“母乳喂养持续时间长短对新生儿结局影响更大”;态度维度中,三甲和二甲医院医生和护士得分最低的条目均为“您认为母乳喂养流程比早产儿配方奶喂养麻烦”;实践维度中,三甲医院医生和护士得分最低的条目均为“您院有足够的母乳喂养知识培训”,二甲医院医生和护士得分最低的条目分别为“您有更多机会能参加各种母乳喂养相关培训”,以及“患儿生后积极救治稳定后,应该尽早开始母乳喂养”。(6)最影响母乳喂养因素依次为患儿父母不配合母乳喂养(50.0%,137/274)、医生和护士人力资源相对不足(21.9%,60/274)以及母乳喂养管理制度没有制定或落实(18.3%,50/274)等。结论本地区县市级医院NICU母乳喂养率偏低,医护人员对母乳喂养认识相对不足,尤其是护士。应加强医护人员母乳喂养各项培训,提高对NICU母乳喂养的认识。展开更多
文摘Objective To observe the value of preoperative CT radiomics models for predicting composition of in vivo urinary calculi.Methods Totally 543 urolithiasis patients were retrospectively enrolled and divided into calcium oxalate monohydrate stone group(group A,n=373),anhydrous uric acid stone group(group B,n=86),carbonate apatite group(group C,n=30),ammonium urate stone group(group D,n=28)and ammonium magnesium phosphate hexahydrate stone group(group E,n=26)according to the composition of calculi,also divided into training set and test set at the ratio of 7∶3.Radiomics features were extracted and screened based on plain CT images of urinary system.Five binary task models(model A—E corresponding to group A—E)and a quinary task model were constructed using least absolute shrinkage and selection operator algorithm for predicting the composition of calculi in vivo.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the predictive efficacy of binary task models,while the accuracy,precision,recall and F1 score were used to evaluate the predictive efficacy of the quinary task model.Results All binary task models had good efficacy for predicting the composition of urinary calculi in vivo,with AUC of 0.860—0.948 in training set and of 0.856—0.933 in test set.The accuracy,precision,recall and F1 score of the quinary task model for predicting the composition of in vivo urinary calculi was 82.25%,83.79%,46.23%and 0.596 in training set,respectively,while was 80.63%,75.26%,43.48%and 0.551 in test set,respectively.Conclusion Binary task radiomics models based on preoperative plain CT had good efficacy for predicting the composition of in vivo urinary calculi,while the quinary task radiomics model had high accuracy but relatively poor stability.
文摘目的了解贵州省黔西南州新生儿重症监护病房(neonatal intensive care unit,NICU)母乳喂养情况及医生和护士母乳喂养知识、态度、实践现状,为母乳喂养质量改进提供基础资料。方法编制NICU母乳喂养知识、态度、实践调查问卷,问卷分为知识、态度和实践3个维度,分别有7(总分7分)、9(总分45分)和7个条目(总分35分),得分越低表示母乳喂养认识越薄弱;并设置最影响母乳喂养因素的5个条目。于2023年11月25日至30日对贵州省黔西南州9家医院新生儿科的有执业资格证书且在本科室工作满1年的医生和护士开展调查。采用两独立样本t检验和χ^(2)检验比较不同级别医院、同级别医院医生和护士在NICU母乳喂养知识、态度、实践维度的得分情况。结果(1)9家医院中3家为三级甲等(简称三甲)医院,实际纳入调查的医生占医生总数的95.6%(43/45),护士占护士总数的96.5%(110/114);6家二级甲等(简称二甲)医院,实际纳入调查的医生占医生总数的95.0%(38/40),护士占护士总数的97.6%(83/85)。(2)9家单位均为爱婴医院,院内均有母乳喂养宣传资料,其中6家医院NICU开展母乳喂养,全州2021年至2023年NICU母乳喂养率平均为25.8%。(3)同级别医院内,医生参加过母乳喂养培训的比例均高于护士[三甲医院:69.8%(30/43)与40.0%(44/110),χ^(2)=10.97,P=0.001;二甲医院:47.4%(18/38)与24.1%(20/83),χ^(2)=6.55,P=0.010],但比例均较低。(4)三甲医院中,医生态度维度总分高于护士[(35.35±4.75)与(33.18±5.60)分,t=-2.03,P=0.044]、实践维度总分也高于护士[(26.98±3.00)与(25.60±3.75)分,t=-2.17,P=0.032];二甲医院中,医生知识维度总分高于护士[(4.92±1.44)与(4.20±1.45)分,t=-2.52,P=0.013]。三甲医院医生态度及实践维度总分均高于二甲医院医生,三甲医院护士知识、态度及实践维度总分均高于二甲医院护士(P值均<0.05)。(5)知识维度中,三甲医院医生得分最低的条目为“母亲乙型肝炎新生儿生后接种疫苗和免疫球蛋白后可母乳喂养”,三甲医院护士以及二甲医院医生和护士得分最低的条目为“母乳喂养持续时间长短对新生儿结局影响更大”;态度维度中,三甲和二甲医院医生和护士得分最低的条目均为“您认为母乳喂养流程比早产儿配方奶喂养麻烦”;实践维度中,三甲医院医生和护士得分最低的条目均为“您院有足够的母乳喂养知识培训”,二甲医院医生和护士得分最低的条目分别为“您有更多机会能参加各种母乳喂养相关培训”,以及“患儿生后积极救治稳定后,应该尽早开始母乳喂养”。(6)最影响母乳喂养因素依次为患儿父母不配合母乳喂养(50.0%,137/274)、医生和护士人力资源相对不足(21.9%,60/274)以及母乳喂养管理制度没有制定或落实(18.3%,50/274)等。结论本地区县市级医院NICU母乳喂养率偏低,医护人员对母乳喂养认识相对不足,尤其是护士。应加强医护人员母乳喂养各项培训,提高对NICU母乳喂养的认识。
