PKP术中不同注入量高粘度骨水泥治疗骨质疏松性腰椎骨折的疗效分析

目的探讨经皮椎体后凸成形术（PKP）术中不同注入量高粘度骨水泥治疗骨质疏松性腰椎骨折（OLVF）的疗效及安全性。 方法前瞻性收集2016年9月至2018年9月本院OLVF患者150例，男84例，女66例，年龄（60±8）岁。依据随机数字表分为高量组、中量组、低量组，每组50例，高量组、中量组、低量组PKP术中高粘度骨水泥注入量分别为5.0~7.0 ml、3~4.9 ml、<3.0 ml，比较三组疗效及安全性。 结果150例患者获得满意随访，随访时间（19±7）个月。高量组、中量组、低量组手术时间、术中出血量比较，差异无统计学意义（P>0.05）；高量组和中量组术后3、6个月椎体前缘高度[（27.3±3.1）mm、（26.0±2.7）mm和（26.9±3.0）mm、（25.7±2.8）mm]明显高于低量组[（23.8±2.8）mm、（21.3±2.5）mm]，高量组和中量组术后3、6个月Cobb角及疼痛视觉模拟评分法（VAS）、Oswestry功能障碍指数问卷表（ODI）评分[（40.2±4.7）°、（41.5±4.8）°、（2.6±0.4）分、（1.6±0.3）分、（25.8±3.5）分、（26.9±3.5）分和（40.9±4.8）°、（42.1±4.8）°、（2.6±0.4）分、（1.6±0.3）分、（26.2±3.5）分、（27.2±3.7）分]明显低于低量组[（46.3±5.3）°、（47.8±5.6）°、（3.3±0.4）分、（2.3±0.4）分、（33.3±4.1）分、（34.3±4.2）分]，差异有统计学意义（F=25.371、18.914、29.334、22.457、34.276、30.217、29.364、20.071，均P<0.001）；高量组骨水泥渗漏率（28.00%）明显高于中量组和低量组（8.00%和4.00%），差异有统计学意义（χ²=10.241，P=0.005）。 结论PKP术中不同注入量高粘度骨水泥治疗OLVF的疗效及安全性存在一定的差异，其中注入中量（3~4.9 ml）高粘度骨水泥可获得良好的疗效及安全性，值得临床推广。     

Elevated serum uric acid is a predictor of contrast associated acute kidney injury in patient with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention

BackgroundContrast associated-acute kidney injury (CA-AKI) has been associated with adverse outcomes after ST-segment elevation myocardial infarction (STEMI). However, early markers of CA-AKI are still needed to improve risk stratification. We investigated the association between elevated serum uric acid (eSUA) and CA-AKI in patients with STEMI treated with primary percutaneous coronary intervention (pPCI).Methods and resultsSerum creatinine (Scr) was measured at admission and 24, 48 and 72 h after pPCI. CA-AKI was defined as an increase of 25% (CA-AKI 25%) or 0.5 mg/dl (CA-AKI 0.5) of Scr level above the baseline after 48 h following contrast administration. Multivariable analyses to investigate CA-AKI predictors were performed by binary logistic regression and multivariable backward logistic regression model.In the 3023 patients considered, CA-AKI was more frequent among patients with eSUA as compared with patients with normal SUA levels, considering both CA-AKI definitions (CA-AKI25%: 20.8% vs 16.2%, p < 0.012; CA-AKI 0.5: 10.1% vs 5.8%, p < 0.001). The association between eSUA and CA-AKI was confirmed at multivariable analyses (CA-AKI 25%: odd ratio 1.32, 95% CI 1.03–1.69, p = 0.027; CA-AKI 0.5: odd ratio 1.76, 95% CI 1.11–2.79, p = 0.016).ConclusionElevated serum uric acid is associated with CA-AKI after reperfusion in patients with STEMI treated with pPCI.     

Thymic epithelial tumor with superior vena cava syndrome diagnosed by percutaneous endovascular tumor biopsy: A report of two cases

Thymic epithelial tumor is a rare, potentially progressive disease that commonly infiltrates mediastinal structures. In rare cases, it may cause superior vena cava syndrome. Pretreatment histopathological diagnosis is essential to determine the most effective treatment strategy. Percutaneous endovascular biopsy is a rarely reported non-surgical diagnostic option for large vessel tumoral involvement. We report two cases of thymic epithelial tumor with superior vena cava syndrome diagnosed by percutaneous endovascular biopsy. No procedural complications occurred, and subsequent systemic treatment was promptly administered. This procedure may have potential as a useful diagnostic method for patients with mediastinal tumors involving large vessels.     

Buried Bumper Syndrome: A common complication of levodopa intestinal infusion for Parkinson disease

BackgroundPercutaneous endoscopic gastrostomy (PEG) is required for Levodopa/Carbidopa Intestinal Gel (LCIG) delivery in patients with advanced Parkinson's disease (PD) as well as for enteral feeding in a variety of neurological disorders. Buried Bumper Syndrome (BBS) is a serious complication of PEG. The frequency of BBS in patients receiving LCIG treatment has never been reported.ObjectivesTo compare the frequency of BBS in patients on LCIG treatment or on enteral feeding over the past 12 years and identify possible risk factors.MethodsWe reviewed prospectively recorded data from 2009 to 2020 on two case-series: LCIG-treated PD patients and non-PD patients on enteral nutrition. We identified all BBS incidences. Patients’ characteristics, clinical manifestations, BBS management, possible risk factors and outcomes were analyzed.ResultsDuring the 12 years, 35 PD patients underwent PEG insertion for LCIG infusion, and 123 non-PD patients for nutritional support. There were eight cases of BBS in six PD patients (17.1%). Six of them were effectively managed without treatment discontinuation. Of the enteral feeding patients, only one developed BBS (0.8%) (p < 0.001). We identified inappropriate PEG site aftercare, weight gain, early onset PD, longer survival, treatment duration, dementia and PEG system design as potential risk factors for BBS development.ConclusionsBBS occurs more frequently in LCIG patients than in patients receiving enteral feeding. If detected early, it can be successfully managed, and serious sequalae or treatment discontinuation can be avoided. Regular endoscopic follow-up visits of LCIG-treated patients and increased awareness in patients and clinicians are recommended.     

Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance

Introduction and objectivesAlthough automatic artificial intelligence (AI) coronary angiography (CAG) segmentation is arguably the first step toward future clinical application, it is underexplored. We aimed to (1) develop AI models for CAG segmentation and (2) assess the results using similarity scores and a set of criteria defined by expert physicians.MethodsPatients undergoing CAG were randomly selected in a retrospective study at a single center. Per incidence, an ideal frame was segmented, forming a baseline human dataset (BH), used for training a baseline AI model (BAI). Enhanced human segmentation (EH) was created by combining the best of both. An enhanced AI model (EAI) was trained using the EH. Results were assessed by experts using 11 weighted criteria, combined into a Global Segmentation Score (GSS: 0–100 points). Generalized Dice Score (GDS) and Dice Similarity Coefficient (DSC) were also used for AI models assessment.Results1664 processed images were generated. GSS for BH, EH, BAI and EAI were 96.9+/-5.7; 98.9+/-3.1; 86.1+/-10.1 and 90+/-7.6, respectively (95% confidence interval, p<0.001 for both paired and global differences). The GDS for the BAI and EAI was 0.9234±0.0361 and 0.9348±0.0284, respectively. The DSC for the coronary tree was 0.8904±0.0464 and 0.9134±0.0410 for the BAI and EAI, respectively. The EAI outperformed the BAI in all coronary segmentation tasks, but performed less well in some catheter segmentation tasks.ConclusionsWe successfully developed AI models capable of CAG segmentation, with good performance as assessed by all scores.