儿童肺炎克雷伯菌血流感染临床特征及菌株药物敏感性分析

摘要：目的 探讨儿童肺炎克雷伯菌血流感染(Klebsiella pneumoniae bloodstream infection, KPBSI)临床特征及肺炎克雷伯 菌(Klebsiella pneumoniae, KP)对常用抗菌药物的敏感性，为儿童KPBSI合理治疗提供参考。方法 回顾性分析2014年1月至2019 年12月在重庆医科大学附属儿童医院住院的KPBSI患儿临床资料。结果 共纳入110例患儿，64例(58.2%)为院内感染，72例 (65.5%)有基础疾病，以血液系统肿瘤最多见。110例患儿PRISM Ⅲ评分为16.0(7.0~20.8)，其中74例(67.3%)发生脓毒症，15例 (13.6%)发生脓毒性休克，18例(16.4%)发生呼吸衰竭，15例(13.6%)需有创机械通气，院内死亡共13例(11.8%)。KP菌株对阿米卡 星、碳青霉烯类抗菌药物敏感率＞90%，对头孢噻肟、头孢曲松和头孢他啶的敏感率分别为58.3%、60.9%和70.9%，对头孢哌 酮/舒巴坦和哌拉西林/他唑巴坦的敏感率分别为59.5%和82.7%。检出ESBLs+菌株39株(39/86，45.3%)，耐碳青霉烯类肺炎克雷 伯菌(CRKP)菌株10株(10/110，9.1%)，ESBLs+KP菌株和CRKP在各年龄组间分布无统计学差异。结论 儿童KPBSI多见于有基 础疾病的患儿，脓毒症、脓毒性休克和呼吸衰竭发生率高；KP菌株对头孢他啶和哌拉西林/他唑巴坦敏感性较高，可经验性治 疗轻症KPBSI患儿。     

Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease

ObjectivesDespite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algorithm based on convolutional neural networks for interpreting nigrosome 1 SMwI for determining nigrostriatal degeneration in idiopathic Parkinson's disease (IPD).MethodsIn this retrospective study, we enrolled 267 IPD patients and 160 control subjects (125 patients with drug-induced parkinsonism and 35 healthy subjects) at our institute, and 24 IPD patients and 27 control subjects at three other institutes on approval of the local institutional review boards. Dopamine transporter imaging served as the reference standard for the presence or absence of abnormalities of nigrosome 1 on SMwI. Diagnostic performance was compared between visual assessment by an experienced neuroradiologist and the developed deep learning-based diagnostic algorithm in both internal and external datasets using a bootstrapping method with 10000 re-samples by the “pROC” package of R (version 1.16.2).ResultsThe area under the receiver operating characteristics curve (AUC) (95% confidence interval [CI]) per participant by the bootstrap method was not significantly different between visual assessment and the deep learning-based algorithm (internal validation, .9622 [0.8912–1.0000] versus 0.9534 [0.8779-0.9956], P = .1511; external validation, 0.9367 [0.8843-0.9802] versus 0.9208 [0.8634-0.9693], P = .6267), indicative of a comparable performance to visual assessment.ConclusionsOur deep learning-based algorithm for assessing abnormalities of nigrosome 1 on SMwI was found to have a comparable performance to that of an experienced neuroradiologist.     

基因组拷贝数变异测序与染色体核型分析在胎儿遗传学诊断中的比较

目的比较基因组拷贝数变异测序(CNV-seq)技术和染色体核型分析和在产前胎儿遗传学诊断中的应用价值。方法收集来我院有产前诊断指征进行羊水穿刺的259例孕妇,取材后,送检染色体核型分析和CNV-seq,比较两种方法在产前诊断中的优缺点。结果259例标本中,共诊断异常染色体核型及微缺失微重复23例,总阳性诊断率8.88%(23/259),CNV-seq结果显示,共有22例染色体拷贝数异常(12例三体+9例微缺失微重复+1例三倍体),检出率为8.49%;染色体核型分析结果显示为:17例染色体异常(12例三体+3例结构异常+1例嵌合型+1例三倍体),检出率为6.56%。此外还检出染色体多态7例。结论CNV-seq与染色体核型分析对于染色体非整倍体的检测效力一致,CNV-seq能检测染色体微缺失微重复,染色体核型分析则能诊断出三体具体核型,在怀疑性染色体异常时,建议行两者联合检测。     

磁敏感加权成像黑质“燕尾征”在帕金森病中的诊断价值

目的:探讨3.0 T磁敏感加权成像(susceptibility weighted imaging,SWI)中"燕尾征"缺失在帕金森病(Parkinson's dis-ease,PD)的诊断价值并分析黑质小体-1 (nigrosome-1)可视化与PD患者临床资料的相关性.方法:收集2017年9月至2019年11月于重庆医科大学附属第一医院神经内科住院的50例PD患者及年龄、性别与之匹配的57例非PD患者.所有受试者均接受3.0 T头颅SWI检查.在获得的SWI图像上,由2名临床医师采用盲法独立对双侧"燕尾征"进行评估.一侧"燕尾征"缺失即判定为PD.计算"燕尾征"缺失诊断PD的灵敏度、特异度、预测值和准确度,并分析nigrosome-1可视化与PD患者临床资料的相关性.结果:以临床诊断作为金标准,45例PD患者判断正确,评估者之间的一致性很高(k=0.963,P=0.000)."燕尾征"缺失诊断PD的灵敏度为90.0％,特异度为91.2％,阳性预测值为90.0％,阴性预测值为91.2％,准确度为90.7％.44例PD患者临床症状不对称,其中32例患者nigrosome-1可视化不对称.PD患者nigrosome-1可视化偏侧和临床症状偏侧比较差异无统计学意义(x2=5.756,P=0.056).11例PD患者双侧nigrosome-1全部缺失,纳入全部缺失组,其余PD患者为非全部缺失组.全部缺失组和非全部缺失组患者的汉密尔顿抑郁量表评分差异有统计学意义(U=126.500,P=-0.038),而病程、帕金森病统一评定量表第Ⅲ部分、改良Hoehn-Yahr(H-Y)分级、简易智能状态量表和蒙特利尔认知评估量表评分差异均无统计学意义(P=0.768、0.140、0.839、0.054、0.067).结论:"燕尾征"缺失诊断PD的准确率较高,缺失程度可能与PD患者的抑郁程度有关,对PD的诊断有一定参考价值.     

Comparison of quantitative susceptibility mapping methods on evaluating radiation-induced cerebral microbleeds and basal ganglia at 3T and 7T

Quantitative susceptibility mapping (QSM) has the potential for being a biomarker for various diseases because of its ability to measure tissue susceptibility related to iron deposition, myelin, and hemorrhage from the phase signal of a T₂*-weighted MRI. Despite its promise as a quantitative marker, QSM is faced with many challenges, including its dependence on preprocessing of the raw phase data, the relatively weak tissue signal, and the inherently ill posed relationship between the magnetic dipole and measured phase. The goal of this study was to evaluate the effects of background field removal and dipole inversion algorithms on noise characteristics, image uniformity, and structural contrast for cerebral microbleed (CMB) quantification at both 3T and 7T. We selected four widely used background phase removal and five dipole field inversion algorithms for QSM and applied them to volunteers and patients with CMBs, who were scanned at two different field strengths, with ground truth QSM reference calculated using multiple orientation scans. 7T MRI provided QSM images with lower noise than did 3T MRI. QSIP and VSHARP + iLSQR achieved the highest white matter homogeneity and vein contrast, with QSIP also providing the highest CMB contrast. Compared with ground truth COSMOS QSM images, overall good correlations between susceptibility values of dipole inversion algorithms and the COSMOS reference were observed in basal ganglia regions, with VSHARP + iLSQR achieving the susceptibility values most similar to COSMOS across all regions. This study can provide guidance for selecting the most appropriate QSM processing pipeline based on the application of interest and scanner field strength.     

Lung Cancer Risk in Never-Smokers of European Descent is Associated With Genetic Variation in the 5p15.33 TERT-CLPTM1Ll Region

IntroductionInherited susceptibility to lung cancer risk in never-smokers is poorly understood. The major reason for this gap in knowledge is that this disease is relatively uncommon (except in Asians), making it difficult to assemble an adequate study sample. In this study we conducted a genome-wide association study on the largest, to date, set of European-descent never-smokers with lung cancer.MethodsWe conducted a two-phase (discovery and replication) genome-wide association study in never-smokers of European descent. We further augmented the sample by performing a meta-analysis with never-smokers from the recent OncoArray study, which resulted in a total of 3636 cases and 6295 controls. We also compare our findings with those in smokers with lung cancer.ResultsWe detected three genome-wide statistically significant single nucleotide polymorphisms rs31490 (odds ratio [OR]: 0.769, 95% confidence interval [CI]: 0.722–0.820; p value 5.31 × 10^-16), rs380286 (OR: 0.770, 95% CI: 0.723–0.820; p value 4.32 × 10^-16), and rs4975616 (OR: 0.778, 95% CI: 0.730–0.829; p value 1.04 × 10^-14). All three mapped to Chromosome 5 CLPTM1L-TERT region, previously shown to be associated with lung cancer risk in smokers and in never-smoker Asian women, and risk of other cancers including breast, ovarian, colorectal, and prostate.ConclusionsWe found that genetic susceptibility to lung cancer in never-smokers is associated to genetic variants with pan-cancer risk effects. The comparison with smokers shows that top variants previously shown to be associated with lung cancer risk only confer risk in the presence of tobacco exposure, underscoring the importance of gene-environment interactions in the etiology of this disease.     

Complexities of Cardiac Genetic Testing

This study explored the lived experiences of family members who were referred to a cardiogenetics clinic after the loss of a family member to sudden cardiac death. Participants revealed many health concerns and emotions, including disappointment, guilt, ambivalence, blame, and fear of loss. Understanding these findings and their potential effect on the family members may provide nurse practitioners with the ability to improve the quality of care that is offered to family members after sudden cardiac death and further the knowledge for genetic testing and disease management.     

Current status of MALDI-TOF mass spectrometry in clinical microbiology

Mass spectrometry (MS) is a type of analysis used to determine what molecules make up a sample, based on the mass spectrum that are created by the ions. Mass spectrometers are able to perform traditional target analyte identification and quantitation; however, they may also be used within a clinical setting for the rapid identification of bacteria. The causative agent in sepsis is changed over time, and clinical decisions affecting the management of infections are often based on the outcomes of bacterial identification. Therefore, it is essential that such identifications are performed quickly and interpreted correctly. Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometer is one of the most popular MS instruments used in biology, due to its rapid and precise identification of genus and species of an extensive range of Gram-negative and -positive bacteria. Microorganism identification by Mass spectrometry is based on identifying a characteristic spectrum of each species and then matched with a large database within the instrument. The present review gives a contemporary perspective on the challenges and opportunities for bacterial identification as well as a written report of how technological innovation has advanced MS. Future clinical applications will also be addressed, particularly the use of MALDI-TOF MS in the field of microbiology for the identification and the analysis of antibiotic resistance.