BACKGROUND:CT-guided percutaneous intervention and rehabilitation techniques are both classic programs for diagnosis and treatment of lumbar disc herniation. Is the combination of CT-guided percutaneous intervention and rehabilitation techniques preferential y used for treatment of lumbar disc herniation?
OBJECTIVE:To evaluate the curative effect of CT-guided interventional injection combined with rehabilitation integration treatment for lumbar disc herniation and to analyze prognostic factors.
METHODS:Eighty-eight patients with lumbar disc herniation were subjected to CT-guided interventional injection combined with rehabilitation integration treatment from May 2010 to May 2013. Injection medicine consisted of betamethasone, tanshinone Ⅱ A sulfonate, neurotropin, normal saline and iohexol. Rehabilitation integration treatment included traction, manipulation, acupuncture, transcutaneous electrical nerve stimulation and thermal magnon. Macnab criteria and Chinese version of Oswestry low back pain disability questionnaire were used to assess the curative effects in comparison with the 112 patients receiving only CT-guided interventional injection that were reported previously. The prognostic factors, such as age, disease course time and herniation type of target segment were testified by correlation analysis.
RESULTS AND CONCLUSION:Total y 77 patients were completely fol owed up for 1 year. There were excellent outcomes in 64 cases, while favorable outcomes in 7 cases, fair outcomes in 5 case, poor outcome in 1 case, with a better outcome rate of 92%.There was a significantly decreased trend in Oswestry disability Index scores at 1, 6, 12 months during the fol ow-ups (P<0.01). No severe complications occurred in al the included patients. The curative effects were improved in term of better outcomes rate compared with the 112 patients receiving only CT-guided interventional injection, but there was no significant difference (P>0.05). The young group (≤ 45 years) had better outcomes than the older group (>45 years;P<0.01). In addition, disease course time and herniation type of target segment were not statistical y significant risk factors predicting clinical results (P>0.05). These findings indicate that CT-guided interventional injection combined with rehabilitation integration treatment could relieve lower back pain and radical leg pain effectively and decrease life disability level.

Objective To assess the predictive value of computed tomography pulmonary angiography(CTPA)cardiovascular parame-ters for chronic thromboembolic pulmonary hypertension(CTEPH)under the 2022 European Society of Cardiology/European Respiratory Society(ESC/ERS)guidelines,and to compare with the 2021 Chinese guidelines.Methods A total of 201 suspected CTEPH patients were retrospectively selected.All patients underwent right heart catheterization(RHC)and CTPA evaluation.According to the Euro-pean guidelines,they were divided into three groups:mean pulmonary artery pressure(mPAP)≤20 mmHg control group(63 cases)(1 mmHg=0.133 kPa),mPAP＞20 mmHg CTEPH group(138 cases),and mPAP≥25 mmHg CTEPH group(123 cases).Inter-group comparison of CTPA cardiovascular parameters was performed,and receiver operating characteristic(ROC)curve analysis was performed for each parameter.Results Under the 2022 European guidelines,the diagnostic efficacy of the diameter of the main pulmonary artery trunk(MPAd)was the highest[area under the curne(AUC)was 0.933].The binary logistic regression analysis revealed that the MP Ad,right ventricular free wall thickness(RVWT),and interventricular septal angle(IVSA)were inde-pendent risk factors for the diagnosis of CTEPH(P＜0.05).Under both the Chinese and European guidelines,the MPAd,the transverse diameter and area of the right atrium,the transverse diameter and area of the bi-ventricle,the RVWT,and the IVSA showed significant statistical differences in CTEPH and control groups(P＜0.05).Conclusion Under both the Chinese and European guidelines,the MP Ad measured by CTPA has the highest diagnostic efficacy for CTEPH,while the IVSA has the strongest correlation with clinical prognostic indicators.The right atrium structure also has evaluation value.

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.

Objective:To evaluate the efficacy of acrivastine alone or in combination with loratadine in the treatment of chronic refractory urticaria.Methods:From March 2017 to December 2018, a multicenter, randomized, controlled clinical study was conducted in 4 centers. Patients with chronic refractory urticaria were randomly divided into two groups, i.e., combined treatment group receiving oral acrivastine capsules 8 mg thrice a day plus oral loratadine tablets 10 mg once a day, and acrivastine alone group receiving oral acrivastine capsules 8 mg thrice a day plus a placebo 10 mg once a day. The course of treatment was 4 weeks. Visits were scheduled at baseline and after 1, 2 and 4 weeks of treatment. At the same time, clinical data were collected, and adverse events were recorded. Symptom scores were evaluated based on degree of itching, number and size of wheals, duration of each attack and number of attacks per week, and symptom score reduce index (SSRI) was used to evaluate the efficacy. Repeated measures analysis of variance and chi-square test were used to evaluate the efficacy and safety.Results:Fifty-three patients in the combined treatment group and 59 in the acrivastine alone group were included in the efficacy analysis. Before treatment, there was no significant difference in symptom score or visual analogue score between the two groups. After 2 weeks of treatment, 19 patients were cured and 10 achieved marked improvement in the combined treatment group, with a response rate of 54.72%; 15 were cured and 6 achieved marked improvement in the acrivastine alone group, with a response rate of 35.59%. After 4 weeks of treatment, 23 patients were cured and 9 achieved marked improvement in the combined treatment group, with a response rate of 60.38%; 20 were cured and 2 achieved marked improvement in the acrivastine alone group, with a response rate of 37.29%. After 2 and 4 weeks of treatment, the response rates were significantly higher in the combined treatment group than in the acrivastine alone group ( χ2 = 4.13, 5.96 respectively, both P < 0.05) . The SSRI significantly differed among different follow-up time points, as well as between the 2 groups ( F = 8.62, 4.38 respectively, both P < 0.05) . Multivariate analysis of variance showed that SSRI was significantly higher in the combined treatment group (0.63 ± 0.05, 0.68 ± 0.05, respectively) than in the acrivastine alone group (0.47 ± 0.05, 0.51 ± 0.05, respectively) after 2 and 4 weeks of treatment (both P < 0.05) . Drug-related adverse reactions, including drowsiness, stomach upsets, headache and liver function abnormality, occurred in 7 patients in the combined treatment group, as well as in 3 in the acrivastine alone group. Conclusion:Acrivastine is safe and effective for the treatment of chronic refractory urticaria, and acrivastine combined with loratadine can markedly improve the efficacy.

Objective To evaluate the efficacy and safety of Qingpeng ointment for the treatment of localized eczema in children.Methods A multicenter,randomized,open-labeled,tacrolimus 0.03％ ointment-controlled clinical trial was conducted.A total of 442 children with localized eczema were enrolled into this study,and divided into 2 groups to topically apply Qingpeng ointment (Qingpeng group) and tacrolimus 0.03％ ointment (tacrolimus group) respectively twice a day for 2 weeks.The children were followed up before the treatment and 1,2 weeks after the treatment,and the efficacy and safety were evaluated at the same time.Results Clinical data from 426 children were included in the efficacy analysis.At 1,2 weeks after the treatment,there were no significant differences in the response rate between the Qingpeng group and tacrolimus group (1 week after the treatment:78.92％ vs.81.77％,x2 =0.545,P =0.460;2 weeks after the treatment:98.65％ vs.97.54％,x2 =0.721,P =0.396).However,the pruritus scores at 1,2 weeks after the treatment were both significantly lower in the Qingpeng group than in the tacrolimus group (1 week:F =14.001,P =0.000;2 weeks:F =11.252,P =0.001).At 1 week after the treatment,the incidence rate of adverse reactions was significantly lower in the Qingpeng group than in the tacrolimus group (P ＜ 0.05).Mild itching,burning sensation and other local irritant sensations were the most common adverse reactions.Conclusion Qingpeng ointment is safe and effective for the treatment of localized eczema in children with good tolerability.