Objective By analyzing the causes of coding errors of lower extremity arteriosclerosis occlusion with throm-bosis and the endovascular intervention,explore the principle diagnosis and intervention coding rules to improve coding quality.Methods Inpatient medical records with the principle diagnosis codes of I70-I74 and I77 accompanied by endovascular interven-tional from January 1,2023 to December 31,2023 were retrieved from a tertiary hospital.A retrospective study was conducted to analyze the causes of coding errors.Results A total of 924 eligible cases were selected.There were 41 principle diagnosis cod-ing errors,with an error rate of 4.43％,among which the lower limb atherosclerosis coding had the highest error rate,accounting for 1.30％.There were 46 intervention coding errors,with an error rate of 4.98％,among which the percutaneous thrombectomy had the highest error rate.The main reason for coding errors was insufficient reading of medical record.Conclusion The coding error rate of the principle diagnosis of lower extremity arteriosclerosis occlusion and the endovascular intervention were relatively high.Therefore,it is necessary to continuously strengthen the training of clinicians and coders,including the coding rules and clinical knowledge of specialized disciplines,actively communicate between coders and clinicians,establish a quality control and assessment system,so as to improve the coding quality.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.

Objective By analyzing the causes of coding errors of lower extremity arteriosclerosis occlusion with throm-bosis and the endovascular intervention,explore the principle diagnosis and intervention coding rules to improve coding quality.Methods Inpatient medical records with the principle diagnosis codes of I70-I74 and I77 accompanied by endovascular interven-tional from January 1,2023 to December 31,2023 were retrieved from a tertiary hospital.A retrospective study was conducted to analyze the causes of coding errors.Results A total of 924 eligible cases were selected.There were 41 principle diagnosis cod-ing errors,with an error rate of 4.43％,among which the lower limb atherosclerosis coding had the highest error rate,accounting for 1.30％.There were 46 intervention coding errors,with an error rate of 4.98％,among which the percutaneous thrombectomy had the highest error rate.The main reason for coding errors was insufficient reading of medical record.Conclusion The coding error rate of the principle diagnosis of lower extremity arteriosclerosis occlusion and the endovascular intervention were relatively high.Therefore,it is necessary to continuously strengthen the training of clinicians and coders,including the coding rules and clinical knowledge of specialized disciplines,actively communicate between coders and clinicians,establish a quality control and assessment system,so as to improve the coding quality.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.