血瘀质与股骨头坏死相关性刍议

股骨头坏死的发病机理尚未明确,从多角度探讨其发病机理,以期为多样化治疗提供依据成为当今医者不断追求的目标。中医体质学认为,不同体质类型对不同疾病的发生具有倾向性。本文从股骨头坏死高发中医体质类型血瘀质入手,对其与股骨头坏死相关性进行探析,为中医调体干预股骨头坏死中早期治疗提供新思路。     

Association of heart rate and diabetes among 0.5 million adults in the China Kadoorie biobank: Results from observational and Mendelian randomization analyses

Background and aimsObservational studies have associated resting heart rate with incident diabetes. Whether the associations are causal remains unclear. We aimed to examine the shape and strength of the associations and assessed the causal relevance of such associations in Chinese adults.Methods and resultsThe China Kadoorie Biobank enrolled 512,891 adults in China. Cox proportional hazard regression models was conducted to estimate hazard ratios (HRs) for the associations of resting heart rate with type 2 diabetes and total diabetes. Among 92,724 participants, 36 single-nucleotide polymorphisms (SNPs) related to resting heart rate were used to construct genetic risk score. We used Mendelian randomization analyses to make the causal inferences. During a median follow-up of 9 years, 7872 incident type 2 diabetes and 13,349 incident total diabetes were documented. After regression dilution bias adjustment, each 10 bpm higher heart rate was associated with about a 26% higher risk of type 2 diabetes (HR, 1.26 [95% CI, 1.23, 1.29]) and 23% higher risk of total diabetes (HR, 1.23 [95% CI, 1.20, 1.26]). Instrumental variable analyses showed participants at top quintile compared with those at bottom quintile had 30% higher risk for type 2 diabetes (HR, 1.30 [95% CI, 1.17, 1.43]), and 10% higher risk for total diabetes (HR, 1.10 [95% CI, 1.02, 1.20]).ConclusionsThis study provides evidence that resting heart rate is an important risk factor for diabetes risk. The results suggest that novel treatment approaches targeting reduction of high heart rate for incidence of diabetes may be worth further investigation.     

Severe Unilateral Proprioceptive Loss in Medullary- Rostral Spinal Cord Infarction. A Posterior Spinal Artery Syndrome

We draw attention to a unique presentation, severe unilateral loss of limb proprioception, in patients with medullary and rostral spinal cord infarction. Two patients developed acute severe proprioceptive loss in the limbs ipsilateral to infarcts that involved the caudal medulla and rostral spinal cord. They also had symptoms and signs often found in lateral medullary infarction. The proprioceptive loss is attributable to injury to the gracile and cuneate nuclei and/or their projections to the medial lemniscus. The infarct territory is supplied by the posterior spinal branches of the vertebral artery near its penetration into the posterior fossa. The presence of severe ipsilateral proprioceptive loss in a patient with features of lateral medullary infarction indicates involvement of the rostral spinal cord.     

基于红外热成像技术的膝骨性关节炎患者穴位体表温度规律研究＊

目的 观察膝骨性关节炎患者穴位体表温度分布规律。方法 以256例膝骨性关节炎患者和256例健康受试者为观察对象。使用Fotric 226红外热像仪检测患者和健康受试者腧穴的温度值，每名患者每周固定时间检测1次，共检测4次，健康人检测1次，比较患者组与健康受试者组穴位温度值的差异，比较不同时间点不同部位、经脉温度值的差异。结果 膝骨性关节炎患者血海穴、鹤顶穴、梁丘穴、曲泉穴、内膝眼穴、犊鼻穴、委阳穴、阴陵泉穴、膝关穴、阳陵泉穴、大杼穴、悬钟穴、足三里穴、命门穴、腰阳关穴温度值高于健康受试者（P < 0.05）；患者组胃经的4次皮温均较高（P < 0.05），腰背部的4次皮温均较高（P < 0.05）；KOA相关腧穴4次温度值变化趋势不显著（P > 0.05）。结论 膝关节骨性关节炎患者部分腧穴皮温升高；膝骨性关节炎患者的穴位升温现象具有规律性，与经络、部位相关；膝关节骨性关节炎相关穴位升温效应具有稳定性。     

Single-incision robotic colectomy versus single-incision laparoscopic colectomy: A matched case control study

BackgroundSingle incision laparoscopic colectomy (SILC) and single incision robotic colectomy (SIRC) are both advanced minimally invasive operative techniques. However, studies comparing these two surgical methods have not been published. The purpose of this study is to compare and evaluate the short-term outcomes of SIRC with those of SILC.MethodsA total of 21 consecutive patients underwent SIRC and 136 consecutive patients underwent SILC in separate institutes between January 2013 and December 2019. We used retrospective cohort matching to analyze these patients.ResultsPrior to matching, patients who underwent SIRC had a lower percentage of American Society of Anesthesiologists (ASA) grades III–IV (5% vs. 19%, P = 0.11) compared with patients who underwent SILC. The SIRC group revealed a higher proportion of sigmoid colon lesions and anterior resections than the SILC group (61% vs. 45%, P = 0.16). After 1:4 cohort matching, 21 patients were enrolled in the SIRC group and 84 patients were enrolled in the SILC group. No statistically significant difference in terms of operative time (SIRC: 185 ± 46 min, SILC: 208 ± 53 min; P = 0.51), estimated blood loss (SIRC: 12 ± 22 ml, SILC: 85 ± 234 ml; P = 0.12), and complications (SIRC: 4.7%, SIRC: 7.1%; P = 0.31) was observed between these groups. Length of postoperative hospital stay (SIRC: 8.3 ± 1.7 days, SILC: 9.3 ± 6.5; P = 0.10) and number of harvested lymph nodes (SIRC: 21.3 ± 10.3, SILC: 21.3 ± 9.5; P = 0.77) were also similar between the two groups. In subgroup analysis, numbers of harvested lymph node is less in SIRC than SILC (SIRC: 18.1 ± 4.7 vs. SILC: 18.9 ± 8.1, P = 0.04) in anterior resection.ConclusionSIRC and SILC are safe and feasible procedures with similar surgical and pathological outcomes for right- and left-side colectomy.     

Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

BACKGROUND AND PURPOSE:The coronavirus disease 2019 (COVID-19) pandemic has led to decreases in neuroimaging volume. Our aim was to quantify the change in acute or subacute ischemic strokes detected on CT or MR imaging during the pandemic using natural language processing of radiology reports.MATERIALS AND METHODS:We retrospectively analyzed 32,555 radiology reports from brain CTs and MRIs from a comprehensive stroke center, performed from March 1 to April 30 each year from 2017 to 2020, involving 20,414 unique patients. To detect acute or subacute ischemic stroke in free-text reports, we trained a random forest natural language processing classifier using 1987 randomly sampled radiology reports with manual annotation. Natural language processing classifier generalizability was evaluated using 1974 imaging reports from an external dataset.RESULTS:The natural language processing classifier achieved a 5-fold cross-validation classification accuracy of 0.97 and an F1 score of 0.74, with a slight underestimation (−5%) of actual numbers of acute or subacute ischemic strokes in cross-validation. Importantly, cross-validation performance stratified by year was similar. Applying the classifier to the complete study cohort, we found an estimated 24% decrease in patients with acute or subacute ischemic strokes reported on CT or MR imaging from March to April 2020 compared with the average from those months in 2017–2019. Among patients with stroke-related order indications, the estimated proportion who underwent neuroimaging with acute or subacute ischemic stroke detection significantly increased from 16% during 2017–2019 to 21% in 2020 (P = .01). The natural language processing classifier performed worse on external data.CONCLUSIONS:Acute or subacute ischemic stroke cases detected by neuroimaging decreased during the COVID-19 pandemic, though a higher proportion of studies ordered for stroke were positive for acute or subacute ischemic strokes. Natural language processing approaches can help automatically track acute or subacute ischemic stroke numbers for epidemiologic studies, though local classifier training is important due to radiologist reporting style differences.

There is much concern regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on the quality of stroke care, including issues with hospital capacity, clinical resource re-allocation, and the safety of patients and clinicians.^1,2 Previous reports have shown that there have been substantial decreases in stroke neuroimaging volume during the pandemic.^3,4 In addition, acute ischemic infarcts have been found on neuroimaging studies in many hospitalized patients with COVID-19, though the causal relationship is unclear.^5,6 Studies like these and other epidemiologic analyses usually rely on the creation of manually curated databases, in which identification of cases can be time-consuming and difficult to update in real-time. One way to facilitate such research is to use natural language processing (NLP), which has shown utility for automated analysis of radiology report data.⁷ NLP algorithms have been developed previously for the classification of neuroradiology reports for the presence of ischemic stroke findings and acute ischemic stroke subtypes.^8,9 Thus, NLP has the potential to facilitate COVID-19 research.In this study, we developed an NLP machine learning model that classifies radiology reports for the presence or absence of acute or subacute ischemic stroke (ASIS), as opposed to chronic stroke. We used this model to quantify the change in ASIS detected on all CT or MR imaging studies performed at a large comprehensive stroke center during the COVID-19 pandemic in the United States. We also evaluated NLP model generalizability and different training strategies using a sample of radiology reports from a second stroke center.     

Primary localized gastric amyloidosis: A scoping review of the literature from clinical presentations to prognosis

Localized gastric amyloidosis (LGA) is a rare disease characterized by abnormal extracellular deposition of amyloid protein restricted to the stomach and it is confirmed by positive results of Congo red staining. Over decades, only a few cases have been reported and studies or research focusing on it are few. Although LGA has a low incidence, patients may suffer a lot from it and require proper diagnosis and management. However, the pathology of LGA remains unknown and no overall review of LGA from its presentations to its prognosis has been published. Patients with LGA are often asymptomatic or manifest atypical symptoms, making it difficult to differentiate from other gastrointestinal diseases. Here, we report the case of a 70-year-old woman with LGA and provide an overview of case reports of LGA available to us. Based on that, we conclude current concepts of clinical manifestations, diagnosis, treatment, and prognosis of LGA, aiming at providing a detailed diagnostic procedure for clinicians and promoting the guidelines of LGA. In addition, a few advanced technologies applied in amyloidosis are also discussed in this review, aiming at providing clinicians with a reference of diagnostic process. With this review, we hope to raise awareness of LGA among the public and clinicians.     

基于OBE理念的住院医师规范化培训混合式课程体系构建

在深入分析住院医师规范化培训课程体系现状基础上，介绍中南大学湘雅医院以成果导向教育理念为指引，基于住院医师“任务、态度、职业特征”3个方面成果目标为导向，构建住院医师规范化培训混合式课程体系；并从成果设计、课程设计、课程实施、成绩记录、成果评价5个方面解析课程体系的构建流程，对进一步完善住院医师规范化培训目标、内容、方式与方法具有较大的参考价值。