目的:探讨成人麻疹的流行病学与临床特征。方法:回顾性分析196例成人麻疹的临床资料。结果:患者以外来流动人员及本地农村人口多见,平均年龄26.78岁,多数患者未接种麻疹疫苗或麻疹疫苗史不详。成人麻疹患者临床症状重,皮疹典型,为充血性斑丘疹,麻疹黏膜斑(Koplik’s spots)明显,且持续时间长,可合并肝脏和心肌损伤,但并发症以肺炎和支气管炎为主。结论:有必要加强成人的免疫接种,尤其是外来的务工人员,强化医务人员对麻疹的认识,避免麻疹的流行。
【摘要】 目的 探讨脑后部可逆性脑病综合征（posterior reversible encephalopathy syndrome，PRES）的临床及MRI表现，提高对PRES的认识。 方法 回顾性分析2007年1月-2010年12月期间5例PRES患者的MRI资料并进行追踪随访。5例PRES患者中男1例，女4例，肾性高血压及产后子痫各1例、妊娠高血压3例。5例均行MRI多序列平扫检查及弥散加权成像（diffusion weighted imaging，DWI），其中4例同时行磁共振血管造影（magnetic resonance angiography，MRA），2例行MRI增强检查。 结果 5例发病时均有高血压，以突发头痛、子痫或癫痫发作、意识障碍及视觉障碍为临床特点，及时正确治疗后症状于3~5 d左右消失，1例遗留肢体功能障碍。MRI显示5例多发病灶主要位于双侧顶枕叶皮质下白质内，额叶及颞叶后部各2例，两侧小脑及脑干1例，皮质受累2例，病变呈长T1、长T2信号、液体衰减反转恢复序列呈高信号，5例患者病灶DWI图呈高或等信号，表观弥散系数（apparent diffusion coefficient，ADC）图呈略高信号；1例顶叶及1例基底节区部分病灶DWI图呈高信号，ADC图呈低信号，提示弥散受限。2例增强无强化，脑膜呈线状强化。随访MRI显示3例病灶完全消失。1例左侧基底节区部分病灶发展为脑梗死。 结论 PRES是一种临床-影像综合征，正确认识这一综合征对其早期诊断和治疗具有非常重要的意义。MRI能够提供较为可靠明确的诊断，其扩散成像对判断PRES预后亦很有价值。【Abstract】 Objective To investigate the clinical features and MRI manifestations of patients with posterior reversible encephalopathy syndrome (PRES), in order to improve its recognition. Methods From January 2007 to December 2010, MRI data of 5 patients with PRES were retrospectively analyzed and the patients were followed up. Among them, one was male and four were female. There were one case of postpartum eclampsia, one of renal hypertention, and 3 of pregnancy-induced hypertension. All the five patients were examined by MRI diffusion weighted imaging (DWI), among whom four underwent additional magnetic resonance angiography (MRA) and one underwent enhanced MRI. Results All the five patients with PRES had hypertension and their clinical symptoms were characterized by sudden occurrence of headache, eclampsia or seizure of epilepsy, altered mental status, and visual disturbances. Clinical symptoms vanished about 3-5 days after prompt and appropriate treatment except one case of residual body function failure. MRI scanning demonstrated multifocal subcortical white lesions in bilateral parieto-occipital lobes in five patients, in bilateral frontal lobes in two patients, in bilateral post temporal lobes in two patients, in bilateral cerebellum in one patient, and in bilateral brainstem in one patient, and cortical involvement occurred in one patient. Lesions appeared as hyperintense signals on fluid attenuated inversion recovery (FLAIR) and T2-weighted images, hypointense signals on T1-weighted images, normal or increased intensity on DWI, and mild hypointensity on apparent diffusion coefficient (ADC) maps. Some lesions in parietal lobes or basal ganglia showed hyperintensity on DWI and isointensity on ADC maps. The lesions in two patients appeared unenhanced with gadolinium enhancement and the meninges assumed the linear strengthening. Follow-up MRI showed that foci in three patients vanished completely, and the focus in the left basal ganglia in one patient developed into cerebral infarction. Conclusions PRES is a clinical-neuroradiological transient condition. Correctly understanding this syndrome is meaningful for its early diagnosis. MRI can provide a more reliable diagnosis, and its proliferation image formation is also valuable in predicting the PERS prognosis.
Objective To explore the clinical characteristics of Chlamydia psittaci pneumonia. Methods From January 2020 to March 2023, 21 cases of Psittacosis from the First Affiliated Hospital of Nanjing Medical University were diagnosed via metagenomic next-generation sequencing (mNGS). They were divided into a severe group (n=10) and a non-severe group (n=11) based on diagnostic criteria for severe pneumonia, and the clinical presentation, secondary examination, treatment, and prognosis of the two groups were analyzed retrospectively. Results Among the 21 patients, there were 11 males and 10 females, with a mean age of (51.7±11.6) years. All patients had an acute onset and 12 had a confirmed history of exposure to poultry. The onset of the disease occurred in the autumn and winter seasons in 18 patients. All the patients were suffering from high fevers. Other symptoms included coughing, phlegm, tightness in the chest and fatigue. Laboratory examinations showed that the levels of leukocytes, neutrophil counts, C-reactive protein, procalcitonin, aminotransferase, creatine kinase, lactic dehydrogenase, brain natriuretic peptide precursors and D-dimer were significantly higher in the severe group than those in the non-severe group. Chest CT scans revealed varying levels of consolidation and spot shadowing with peripheral exudate in all patients. The patients in the severe group were more likely to have bilateral lung involvement, bilateral pleural effusion, cavity and mediastinal lymph node enlargement. Eleven patients received tetracycline alone, three received laudanum alone, two received respiratory quinolones alone, and five received a combination of two drugs including tetracycline. Chest CT at clinical follow-up showed absorption of lung lesions. Conclusions Chlamydia psittaci pneumonia usually occurs in the fall and winter, and most patients have a history of contact with poultry. Clinical presentation and imaging are not specified. The technology of mNGS enables early diagnosis of the disease, and neutrophil lymphocyte ratio, neutrophil-lymphocyte ratio and lactic dehydrogenase levels help assess the risk of severe disease.
Objective To explore the clinical characteristics of patients who were infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of different genotypes. Methods A retrospective study was conducted on 111 SARS-CoV-2 infected cases at home and abroad admitted to Chengdu Public Health Clinical Medical Center between January and September 2020. The basic information, gene sequencing results (Pangolin typing method), clinical typing, first laboratory examinations 24 hours after admission, and whether repositive after discharge were collected. According to Pangolin typing, patients were divided into five groups: A, B, B.X, B.1.X and B.1.1.X. The basic information (age, sex, and origin), laboratory test results (lymphocyte count, C-reactive protein, serum amyloid A, CD3+ T lymphocytes, CD4+ T lymphocytes, and CD8+ T lymphocytes), clinical classification and whether repositive were compared among different genotype infected patients. Results Among the 111 infected patients, 54 (48.6%) were males and 57 (51.4%) were females. Their ages ranged from 16 to 87 years, with a median age of 49 years. In terms of clinical classification, there were 10 asymptomatic cases (9.0%), 10 mild cases (9.0%), 64 ordinary cases (57.7%), 13 severe cases (11.7%), and 14 critical cases (12.6%). There were 75 domestic cases (67.6%) and 36 imported cases (32.4%). Eighty cases (72.1%) did not return to positive, and 31 cases (27.9%) returned to positive. There were 8 cases infected by type A virus, 18 cases infected by type B virus, 26 cases infected by type B.X virus, 5 cases infected by type B.1.X virus, and 54 cases infected by type B.1.1.X virus. Among patients infected by different genotype viruses, no statistically significant difference was found in sex, age, clinical type, laboratory examination, or whether repositive (P>0.05), but there was statistically significant difference in the distribution of domestic and imported cases (P=0.016). Type B virus infected patients were mostly domestic cases, while type B.X virus infected patients were mostly imported cases. Conclusion The distribution of domestic and imported cases is different among SARS-CoV-2 of different genotypes.
In order to overcome the shortcomings of high false positive rate and poor generalization in the detection of microcalcification clusters regions, this paper proposes a method combining discriminative deep belief networks (DDBNs) to automatically and quickly locate the regions of microcalcification clusters in mammograms. Firstly, the breast region was extracted and enhanced, and the enhanced breast region was segmented to overlapped sub-blocks. Then the sub-block was subjected to wavelet filtering. After that, DDBNs model for breast sub-block feature extraction and classification was constructed, and the pre-trained DDBNs was converted to deep neural networks (DNN) using a softmax classifier, and the network is fine-tuned by back propagation. Finally, the undetected mammogram was inputted to complete the location of suspicious lesions. By experimentally verifying 105 mammograms with microcalcifications from the Digital Database for Screening Mammography (DDSM), the method obtained a true positive rate of 99.45% and a false positive rate of 1.89%, and it only took about 16 s to detect a 2 888 × 4 680 image. The experimental results showed that the algorithm of this paper effectively reduced the false positive rate while ensuring a high positive rate. The detection of calcification clusters was highly consistent with expert marks, which provides a new research idea for the automatic detection of microcalcification clusters area in mammograms.
Due to the high complexity and subject variability of motor imagery electroencephalogram, its decoding is limited by the inadequate accuracy of traditional recognition models. To resolve this problem, a recognition model for motor imagery electroencephalogram based on flicker noise spectrum (FNS) and weighted filter bank common spatial pattern (wFBCSP) was proposed. First, the FNS method was used to analyze the motor imagery electroencephalogram. Using the second derivative moment as structure function, the ensued precursor time series were generated by using a sliding window strategy, so that hidden dynamic information of transition phase could be captured. Then, based on the characteristic of signal frequency band, the feature of the transition phase precursor time series and reaction phase series were extracted by wFBCSP, generating features representing relevant transition and reaction phase. To make the selected features adapt to subject variability and realize better generalization, algorithm of minimum redundancy maximum relevance was further used to select features. Finally, support vector machine as the classifier was used for the classification. In the motor imagery electroencephalogram recognition, the method proposed in this study yielded an average accuracy of 86.34%, which is higher than the comparison methods. Thus, our proposed method provides a new idea for decoding motor imagery electroencephalogram.
ObjectivesTo systematically review the prevalence of senile pruritus (SP) in Chinese population.MethodsPubMed, EMbase, CENTRAL, CINAHL, CBM, CNKI, WanFang Data and VIP databases were electronically searched to collect cross-sectional studies on the prevalence of SP in Chinese population from inception to May 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, meta-analysis was performed by Stata 12.0 software.ResultsA total of 11 studies involving 13 398 patients were included. The results of meta-analysis showed that, the overall prevalence of SP was 31.0% (95%CI 18.0% to 44.0%). Subgroup analysis showed that the prevalence rate of male was 34.9% (95%CI 18.6% to 88.5%). The prevalence rates of SP among 60, 70, 80 and 90 age groups were 20.0% (95%CI 14.2% to 25.7%), 48.4% (95%CI 21.5% to 75.3%), 53% (95%CI 12.4% to 93.5%), and 58.5% (95%CI 22.4% to 94.6%), respectively. The prevalence rates of SP in community, hospital and cadre relaxation club were 33.4% (95%CI 31.3% to 35.6%), 40.4% (95%CI 22% to 58.7%), and 14.4% (95%CI 1.1% to 27.7%), respectively. The prevalence rates of SP in southern China and northern China were 26.7% (95%CI 18.7% to 34.7%) and 36.8% (95%CI 21.8% to 51.7%), respectively.ConclusionsThe overall prevalence rate of SP in the Chinese population is high. The prevalence rates of SP among ages, regions and research sites are different.
Recent studies have introduced attention models for medical visual question answering (MVQA). In medical research, not only is the modeling of “visual attention” crucial, but the modeling of “question attention” is equally significant. To facilitate bidirectional reasoning in the attention processes involving medical images and questions, a new MVQA architecture, named MCAN, has been proposed. This architecture incorporated a cross-modal co-attention network, FCAF, which identifies key words in questions and principal parts in images. Through a meta-learning channel attention module (MLCA), weights were adaptively assigned to each word and region, reflecting the model’s focus on specific words and regions during reasoning. Additionally, this study specially designed and developed a medical domain-specific word embedding model, Med-GloVe, to further enhance the model’s accuracy and practical value. Experimental results indicated that MCAN proposed in this study improved the accuracy by 7.7% on free-form questions in the Path-VQA dataset, and by 4.4% on closed-form questions in the VQA-RAD dataset, which effectively improves the accuracy of the medical vision question answer.