目的 探究维持性血液透析（MHD）患者的病耻感现状,并对其影响因素进行分析。方法 根据便利抽样法,选取2020年2月—2022月10月在河南省郑州市第三人民医院血液净化中心进行MHD治疗的236例患者作为研究对象,并采用一般资料调查问卷、领悟社会支持量表（PSSS）以及社会影响量表（SIS）进行调查。根据SIS得分情况进行分组,采用Logistic回归分析行MHD患者病耻感的影响因素。结果 MHD患者病耻感得分为（65.03±10.68）分,其中病程较短、社会支持度低、家庭平均收入低、文化水平较低以及未参加肾友会的患者病耻感得分较高,病程较长、家庭平均收入高、社会支持度高、参加肾友会以及文化水平较高者病耻感得分较低（P<0.05）。多因素Logistic回归分析结果显示,患者文化水平、家庭平均收入、是否参加肾友会、病程以及社会支持情况是患者病耻感的影响因素（P<0.05）。结论 MHD患者病耻感得分处于中高等水平。指导患者正确认识疾病,多关注家庭收入较低患者,鼓励患者积极参与肾友会,为患者提供良好的社会支持,均有助于降低其病耻感程度。

Objective To explore the current status of shame in maintenance hemodialysis（MHD）patients and analyze its influencing factors．Methods Based on the convenience sampling method,236 patients who underwent MHD treatment at the Blood Purification Center of the Third People’s Hospital of Zhengzhou City,Henan Province from February 2020 to October 2022 were selected as the research subjects．A general information survey questionnaire,Perceived Social Support Scale（PSSS）,and Social Impact Scale（SIS）were used for the survey．Grouping based on SIS scores,logistic regression analysis was used to analyze the influencing factors of shame in MHD patients．Results MHD patients had a shame score of（65.03±10.68）,among which patients with shorter disease course,lower social support,lower average family income,lower education level,and those who did not participate in kidney friend associations had higher shame scores．Patients with longer disease course,higher average family income,higher social support,participation in kidney self-help group,and higher education level had lower shame scores（P<0.05）．The results of multivariate logistic regression analysis showed that the patient’s educational level,average family income,participation in a kidney self-help group,course of illness,and social support were the influencing factors for the patient’s sense of shame（P<0.05）．Conclusions The shame score of MHD patients is at a moderate high level．Guiding patients to have a correct understanding of the disease,paying more attention to patients with lower family income,encouraging them to actively participate in kidney self-help group,and providing good social support to patients can all help reduce their sense of shame．

目的 利用靶向二代测序技术探究天津市发热呼吸道症候群病原特征,分析病原流行特征,总结规律,为发热伴呼吸道症候群患者治疗策略提供指导。方法 收集2023年1月—2023年12月天津地区某四家医院初诊为发热伴呼吸道症候群的4 039例病例,通过tNGS技术检测,分析鉴定病原微生物,研究不同标本类型病原微生物分布、年龄分布、性别分布、不同时间季节感染分布、微生物类型分布趋势等。结果 4 039例经tNGS技术检测,共检测出90种潜在病原体,总阳性率为94.80%（3 829/4 039）。包括36种细菌、29种病毒、5种非典型病原体和20种真菌。不同种类病原体检出频次排序：革兰阴性细菌（G-细菌）>RNA病毒>DNA病毒>革兰阳性细菌（G+细菌）>真菌>非典型病原体。男女性别阳性检出率比较差异无统计学意义（χ²=0.249,P=0.618）;不同年龄段人群病原体谱有异质性,且阳性患者多分布在0~10岁和>60岁,阳性也集中在该两类人群,阳性率分别为47.90%（1 834/3 829）和31.24%（1 196/3 829）。在单一感染中,肺炎支原体占比最高,为4.91%,其次为新型冠状病毒,占1.59%,再次为呼吸道合胞病毒,占1.23%。不同季节不同感染类型具有差异,整体呈现夏冬季混合感染率高的特点,即夏季新冠病毒合并细菌（鲍曼不动杆菌、肺炎链球菌）,冬季肺炎支原体合并甲型、乙型流感病毒多见。肺炎支原体对大环内酯类药物耐药率随月份呈现增加趋势。结论 tNGS 技术在天津市发热呼吸道症候群样本中获得了较高的病原体检出率,病原体覆盖面广,通过提供更多的病原体信息,可以有效辅助鉴别混合感染和耐药信息。

Objective Using targeted next-generation sequencing technology to explore the composition of the pathogenic spectrum of febrile respiratory syndrome ,analyze the epidemic characteristics of the pathogen,summarize the rules,and provide accurate guidance for the treatment strategy of patients with febrile respiratory syndrome．Methods By tNGS detection of 4039 cases with fever with respiratory diseases in four hospitals in Tianjin in 2023,pathogenic microorganisms were analyzed and identified,and the distribution of pathogenic microorganisms,age distribution,gender distribution,infection distribution in different times and seasons,and distribution trend of microbial types in different specimen types were studied．Results In 4039 cases,90 potential pathogens were detected,the total positive rate was 94.80%（3 829/4 039）,including 36 kinds of bacteria,29 kinds of viruses,5 kinds of atypical pathogen and 6 kinds of fungi．The order of detection frequency of different types of pathogens：G-bacteria > RNA virus > DNA virus > G+ bacteria > fungi > atypical pathogens．There was no significant difference in the positive rate of male and female between the two groups（χ²=0.249,P=0.618）．The pathogen spectrum of different age groups was heterogeneous． The positive patients were mostly distributed in 0-10 years old [47.90%（1 834/3 829）] and >60 years old [31.23%（1 196/3 829）]．Among the single infection,Mycoplasma pneumoniae accounted for the highest proportion,4.91%（188/3829）,followed by 2019-nCoV,1.59%（61/3 829）,and respiratory syncytial virus,1.23%（47/3 829）．There were differences in different infection types in different seasons,and the overall characteristics of mixed infection rate in summer and winter were high． In summer,the new coronavirus was combined with bacteria（Acinetobacter baumannii,Streptococcus pneumoniae）,and in winter,Mycoplasma pneumoniae was combined with influenza A and B viruses．The resistance rate of Mycoplasma pneumoniae to macrolides showed an increasing trend with the time．Conclusions The tNGS technology had obtained a high pathogen detection rate in the samples of febrile respiratory syndrome in Tianjin．By providing more pathogen information,it can be effectively applied to the etiological diagnosis of respiratory infectious diseases and assist in the identification of mixed infections and drug resistance information．