基于标准化患者法评价四川农村基层医生两种慢性病诊断准确性及其影响因素

目的 运用标准化患者法评估四川农村地区基层医生不稳定型心绞痛和2型糖尿病两种慢性病诊断准确性现状,探讨基层医生两种慢性病诊断准确性的主要影响因素,为提升基层医生两种慢性病诊断准确性提供科学依据。方法 采用多阶段随机整群抽样方法,抽取四川省自贡市5个区/县50个乡镇100个村为研究现场,以调查当日在岗的全科及内科医生作为研究对象。共进行两轮数据采集,第1轮采集样本乡镇卫生院和村卫生室医生的基本信息;第1轮调查完成1个月后,运用标准化患者法开展第2轮调查,收集农村基层医生对不稳定型心绞痛和2型糖尿病诊断结果信息。运用Logistic回归分析农村基层医生不稳定型心绞痛和2型糖尿病诊断准确性的影响因素。结果 共纳入172名农村基层医生,完成186次标准化患者访问,正确诊断率为48.39%。其中不稳定型心绞痛的正确诊断率为18.68%(17/91),2型糖尿病的正确诊断率为76.84%(73/95)。Logistic回归分析显示,具有执业医师资质的农村基层医生更有可能做出正确诊断(OR=4.857,95%CI=1.076~21.933,P=0.040)。农村基层医生在诊断过程中涉及的必要问诊和检查条目越多,做出正确诊断的概率越高(OR=1.627,95%CI=1.065~2.485,P=0.024)。与不稳定型心绞痛相比,农村基层医生对2型糖尿病做出正确诊断的可能性更高(OR=6.306,95%CI=3.611~11.013,P<0.001)。结论 四川农村基层医生不稳定型心绞痛和2型糖尿病诊断准确性整体较差,建议以基层医生慢性病诊断过程质量改善为突破口,提升基层医生执业水平,进而提高慢性病诊断准确性。     

Mitochondrial dysfunction from malathion and chlorpyrifos exposure is associated with degeneration of GABAergic neurons in Caenorhabditis elegans

Toxicity resulting from off-target effects, beyond acetylcholine esterase inhibition, for the commonly used organophosphate (OP) insecticides chlorpyrifos (CPS) and malathion (MA) was investigated using Saccharomyces cerevisiae and Caenorhabditis elegans model systems. Mitochondrial damage and dysfunction were observed in yeast following exposure to CPS and MA, suggesting this organelle is a major target. In the C. elegans model, the mitochondrial unfolded protein response pathway showed the most robust induction from CPS and MA treatment among stress responses examined. GABAergic neurodegeneration was observed with CPS and MA exposure. Impaired movement observed in C. elegans exposed to CPS and MA may be the result of motor neuron damage. Our analysis suggests that stress from CPS and MA results in mitochondrial dysfunction, with GABAergic neurons sensitized to these effects. These findings may aid in the understanding of toxicity from CPS and MA from high concentration exposure leading to insecticide poisoning.     

可弯曲胸腔镜和硬质胸腔镜诊断不明原因胸腔积液的对比临床研究

目的对比可弯曲胸腔镜和硬质胸腔镜在不明原因胸腔积液诊断中的准确性和安全性。方法采用前瞻性随机对照研究,连续筛选四川大学华西医院2012年3月至2014年3月期间不明原因胸腔积液住院患者,患者年龄18~75岁。经知情同意后,患者随机进入可弯曲胸腔镜组或硬质胸腔镜组进行检查。结果可弯曲胸腔镜组入组49例患者,硬质胸腔镜组入组48例患者。两组共有44例患者通过胸腔镜检查确诊为恶性疾病,48例确诊为良性疾病。两组诊断不明原因胸腔积液总体准确性分别为93.9%和95.8%,可弯曲胸腔镜组诊断肿瘤的敏感性为96.0%,硬质胸腔镜组诊断肿瘤的敏感性为95.2%,两组诊断肿瘤的特异性均为100.0%,两组之间差异无统计学意义。两种胸腔镜技术并发症多数轻微,患者均耐受良好。结论对于不明原因胸腔积液,可弯曲胸腔镜诊断的准确性与硬质胸腔镜相当。尽管可弯曲胸腔镜取材组织小,但是通过多点多次取材,所获得的组织标本能满足病理科医生进行包括免疫组织化学检测在内的疾病诊断。     

Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study

IntroductionPredicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic response effectiveness. In this study, we aimed to investigate whether predictive information for pCR could be detected from WSIs.Materials and methodsWe retrospectively collected data from four cohorts of 874 patients diagnosed with biopsy-proven breast cancer. A deep learning pathological model (DLPM) was constructed to predict pCR using biopsy WSIs in the primary cohort, and it was then validated in three external cohorts. The DLPM could generate a deep learning pathological score (DLPs) for each patient; stromal tumor-infiltrating lymphocytes (TILs) were selected for comparison with DLPs.ResultsThe WSI feature-based DLPM showed good predictive performance with the highest area under the curve (AUC) of 0.72 among the cohorts. Alternatively, the combination of the DLPM and clinical characteristics offered a better prediction performance (AUC >0.70) in all cohorts. We also evaluated the performance of DLPM in three different breast subtypes with the best prediction for the triple-negative breast cancer (TNBC) subtype (AUC: 0.73). Moreover, DLPM combined with clinical characteristics and stromal TILs achieved the highest AUC in the primary cohort (AUC: 0.82) and validation cohort 1 (AUC: 0.80).ConclusionOur study suggested that WSIs integrated with deep learning could potentially predict pCR to NAC in breast cancer. The predictive performance will be improved by combining clinical characteristics. DLPs from DLPM can provide more information compared to stromal TILs for pCR prediction.     

The Association of Exercise with Both Erectile and Sexual Function in Black and White Men

IntroductionThere is growing interest in using exercise to treat. Although many studies have highlighted the relationship between better erectile function and exercise, black men have been underrepresented in the literature.AimsThis study aims to determine whether or not exercise is associated with better erectile as well as sexual function in black men and define a minimum exercise threshold for which better erectile/sexual function is seen in a cross-sectional study.MethodsOur study population consisted of 295 healthy controls from a case-control study assessing risk factors for prostate cancer conducted at the Durham Veterans Affairs Medical Center, which contained a substantial proportion of black men (n = 93; 32%). Exercise and erectile/sexual function were both determined from self-reported questionnaires. Subjects were stratified into four exercise groups: <3 (sedentary), 3–8.9 (mildly active), 9–17.9 (moderately active), and ≥18 (highly active) metabolic equivalents (MET) hours/week. The association between exercise and erectile/sexual function was addressed utilizing multivariable linear regression analyses.Main Outcome MeasuresErectile/sexual function was defined by the validated Expanded Prostate Cancer Index Composite sexual assessment, which was analyzed as a continuous variable (sexual function score). Clinically significant better function was defined as half a standard deviation (SD) (16.5 points).ResultsMedian sexual function score was 53 (SD = 33). Higher exercise was associated with a better sexual function score (P < 0.001). Importantly, there was no interaction between black race and exercise (P-interaction = 0.772), meaning more exercise was linked with better erectile/sexual function regardless of race. Overall, exercise ≥18 MET hours/week predicted better erectile/sexual function (P < 0.001) with a clinically significant 17.3-point higher function. Exercise at lower levels was not statistically (P > 0.147) or clinically (≤8.14 points higher function) associated with erectile/sexual function.ConclusionsIn a racially diverse population, exercise ≥18 MET hours/week is highly associated with better erectile/sexual function regardless of race. Simon RM, Howard L, Zapata D, Frank J, Freedland SJ, and Vidal AC. The association of exercise with both erectile and sexual function in black and white men. J Sex Med 2015;12:1202–1210.     

经9次核酸检测终确诊的新型冠状病毒肺炎患者1例分析

目前新型冠状病毒肺炎(COVID-19)疫情在全球蔓延,形势严峻,并对全球公共卫生事业构成巨大挑战,快速准确的诊断COVID-19对疫情的防控有重要意义。本文报道1例COVID-19患者的调查和确诊过程,以对COVID-19确诊和疫情防控提供有价值的参考。患者为赴渝务工于2020年1月23日返乡人员,在渝期间,其同工地的一同事确诊为COVID-19,之后该工地接连有另外8位同事被确诊。患者返乡后2月2日被当地疫情防控单位采取医学隔离。患者于隔离后不久出现咳嗽,阵发性,干咳为主,偶可咳出黄色痰液等COVID-19相关临床症状,遂被当地新型冠状病毒肺炎定点医疗单位收治,后经市级新型冠状病毒肺炎诊治专家组远程视频会诊转入四川大学华西医院资阳医院。患者先后经历9次核酸检测,在前8次核酸检测均为阴性的情况下,于第9次核酸检测结果为阳性,2月21日最终确诊为新型冠状病毒肺炎。