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Xiaoqin Chen,1 Lifang Lin,2 Qiuping Zhong,1 Heming Wu,2 Zhiyuan Zheng,2 Baisen Zhang,3 Liubing Lan1 1Department of Maternity, Meizhou People’s Hospital, Meizhou City, Guangdong Province, 514031, People’s Republic of China; 2Department of Central Laboratory, Meizhou People’s hospital, Meizhou City, Guangdong Province, 514031, People’s Republic of China; 3Department of Ultrasound, Meizhou People’s hospital, Meizhou City, Guangdong Province, 514031, People’s Republic of ChinaCorrespondence: Liubing Lan, Department of maternity, Meizhou People’s hospital, No. 63, Huang Tang Road, Meijiang District, Meizhou City, Guangdong Province, 514031, People’s Republic of China, Email hipiing1284@sina.comObjective: To explore the influencing factors of fetal birth defects (BD) and construct a nomogram model.Methods: A total of 341 newborns admitted to Meizhou people’s hospital from September 2021 to September 2023 were randomly grouped into a modeling group (239 cases) and a validation group (102 cases). The modeling group fetuses were separated into BD and non-BD groups. Multivariate logistic regression analyzed risk factors for BD; R software constructed a nomogram model; Receiver operating characteristic (ROC) curve evaluated the model’s discrimination for BD.Results: The top 5 types of BD were congenital heart disease, polydactyly/syndactyly, cleft lip/palate, ear malformation, and foot malformation, with incidence rates of 23.81%, 20.63%, 12.70%, 11.11%, and 7.94%, respectively. BD incidence was 26.36% (63/239). Significant differences between BD and non-BD groups were found in maternal age, gestational age, history of adverse pregnancy/childbirth, gestational hypertension, adverse emotions during pregnancy, and folic acid intake duration (P< 0.05). Logistic regression showed maternal age (OR: 4.125), gestational age (OR: 3.066), adverse pregnancy history (OR: 10.628), gestational hypertension (OR: 5.658), adverse emotions (OR: 5.467), and folic acid intake duration (OR: 4.586) were risk factors for BD (P< 0.05). The modeling group’s ROC AUC was 0.938, calibration curve slope close to 1, H-L test =8.342, P=0.692; external validation AUC was 0.961, calibration slope close to 1, H-L test =7.634, P=0.635.Conclusion: Identified risk factors include maternal age, gestational age, adverse pregnancy history, gestational hypertension, adverse emotions, and folic acid intake duration. The nomogram model shows good discrimination and consistency for evaluating neonatal BD risk.Keywords: fetus, birth defects, influencing factors, nomogram

Xiaoming Fu,1 Fuhai Zeng,2 Linling Li,1 Guoquan Liu,1 Qing Zhong,3 Shouwan Chen1 1Department of Burn and Plastic Surgery, The People’s Hospital of Jianyang City, Jianyang, Sichuan, People’s Republic of China; 2Department of Plastic and Maxillofacial Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 3Department of Science and Technology, The People’s Hospital of Jianyang City, Jianyang, Sichuan, People’s Republic of ChinaCorrespondence: Shouwan Chen, Department of Burn and Plastic Surgery, The People’s Hospital of Jianyang City, No. 180 Hospital Road, Jianyang, Sichuan, 641400, People’s Republic of China, Email drshouwang@163.comBackground: The existing observational research on the relationship between physical activity (PA) and skin cancer (SC) is contentious, which points to the intricate nature of their association and underscores the imperative for more nuanced research to untangle the causal dynamics at play. The aim of this article is to delve deeper into this complex relationship, seeking to clarify whether PA serves as a protective factor against SC, or contributes to its risk.Methods: We utilized data from the genome-wide association study (GWAS) of PA from GWAS Catalog (include self-reported moderate to vigorous PA (MVPA), self-reported vigorous PA (VPA), and accelerometer-based average-accelerated PA). The data of SC is from FinnGen. All of the participants are of European ancestry. We used two-sample Mendelian Randomization (TSMR) to analyze the causal relationship between PA and SC.The research was conducted using inverse variance weighted (IVW) method as the primary approach, and MR Egger regression as supplementary analytical method. To ensure the robustness of the results, Cochran’s Q-test and MR pleiotropy residual sum and outlier (MR-PRESSO) global tests were used to measure sensitivity.Results: Our analysis indicated that average-accelerated PA was associated with an increased risk of SC (ORIVW = 0.94, 95% CI 0.93– 0.96, P

Xiaoqin Chen,1,2 Liubing Lan,1,2 Heming Wu,1 Mei Zeng,1,2 Zhiyuan Zheng,1 Qiuping Zhong,2 Fengdan Lai,2 Yonghe Hu2 1Department of Prenatal Diagnostic Center, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China; 2Department of Obstetrics, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of ChinaCorrespondence: Liubing Lan, Department of Prenatal Diagnostic Center, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, No. 63 Huangtang Road, Meijiang District, Meizhou, People’s Republic of China, Email 13411221666@163.comObjective: To explore and evaluate the value of chromosomal microarray analysis (CMA) in prenatal diagnosis of fetuses with ultrasound abnormalities.Methods: A retrospective analysis was performed on 370 fetuses with ultrasound abnormalities received invasive prenatal diagnosis at Meizhou People’s Hospital from October 2022 to December 2023. Fetal specimens were analyzed by CMA, and the detection rates of aneuploidy and pathogenic (P)/likely pathogenic (LP) copy number variations (CNVs) in ultrasound structural abnormalities (malformations of fetal anatomy) and non-structural abnormalities (abnormalities of fetal nonanatomical structure) were analyzed.Results: There were 114 (30.8%) cases with isolated ultrasound structural abnormalities, 226 (61.1%) cases with isolated non-structural abnormalities (182 isolated ultrasound soft markers abnormalities, 30 isolated fetal growth restriction (FGR), and 8 isolated abnormalities of amniotic fluid volume), and 30 (8.1%) cases with both structural and non-structural abnormalities. The overall detection rate of aneuploidy and P/LP CNVs in isolated ultrasonic structural abnormalities was 5.3%, among which cardiovascular system abnormalities were the highest. In addition, the largest number of fetuses with non-structural abnormalities was nuchal translucency (NT) thickening (n = 81), followed by ventriculomegaly (n = 29), and nasal bone dysplasia (n = 24). The detection rate of chromosomal abnormalities of fetuses with abnormal ultrasound soft markers was 9.9%, and the detection rate in single abnormal ultrasound soft marker, and multiple ultrasound soft markers abnormalities was 9.7% (16/165) and 11.8% (2/17), respectively. Moreover, the detection rate of chromosomal abnormalities of fetuses with FGR and structural abnormalities combined with non-structural abnormalities was 6.7% (2/30), and 13.3% (4/30), respectively.Conclusion: The incidence of chromosomal abnormalities (aneuploidy and P/LP CNVs) varies among different fetal ultrasound abnormalities.Keywords: chromosomal microarray analysis, copy number variation, abnormal ultrasound fetus, prenatal diagnosis

Qiyuan Zhong,1,&ast; Jingqi Zeng,1,&ast; Xiaobin Jia1,2 1School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, People’s Republic of China; 2State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiaobin Jia, School of Traditional Chinese Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, 211198, People’s Republic of China, Email jiaxiaobin2015@163.comAbstract: The self-assembling aggregated structures of natural products have gained significant interest due to their simple synthesis, lack of carrier-related toxicity, and excellent biological efficacy. However, the mechanisms of their assembly and their ability to traverse the gastrointestinal (GI) barrier remain unclear. This review summarizes various intermolecular non-covalent interactions and aggregated structures, drawing on research indexed in Web of Science from 2010 to 2024. Cheminformatics analysis of the self-assembly behaviors of natural small molecules and their supramolecular aggregates reveals assembly-favorable conditions, aiding drug formulation. Additionally, the review explores the self-assembly properties of macromolecules like polysaccharides, proteins, and exosomes, highlighting their role in drug delivery. Strategies to overcome gastrointestinal barriers and enhance drug bioavailability are also discussed. This work underscores the potential of natural products in oral drug delivery and offers insights for designing more effective drug delivery systems. Keywords: natural products, self-assembly, aggregated structures, supramolecules, oral drug delivery, gastrointestinal barrier

Qiang Zhong,&ast; Xin Pan,&ast; Yuhang Chen, Qiang Lian, Jian Gao, Yixin Xu, Jian Wang, Zhanjun Shi, Hao Cheng Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhanjun Shi; Hao Cheng, Nanfang Hospital, Southern Medical University, 1838&num; Guangzhou North Avenue, Guangzhou, People’s Republic of China, Tel +86 2062787924, Email shizhanjun111@gmail.com; haocool317@gmail.comAbstract: The development of metallic joint prostheses has been ongoing for more than a century alongside advancements in hip and knee arthroplasty. Among the materials utilized, the Cobalt-Chromium-Molybdenum (Co-Cr-Mo) and Titanium-Aluminum-Vanadium (Ti-Al-V) alloys are predominant in joint prosthesis construction, predominantly due to their commendable biocompatibility, mechanical strength, and corrosion resistance. Nonetheless, over time, the physical wear, electrochemical corrosion, and inflammation induced by these alloys that occur post-implantation can cause the release of various metallic components. The released metals can then flow and metabolize in vivo, subsequently causing potential local or systemic harm. This review first details joint prosthesis development and acknowledges the release of prosthetic metals. Second, we outline the metallic concentration, biodistribution, and elimination pathways of the released prosthetic metals. Lastly, we discuss the possible organ, cellular, critical biomolecules, and significant signaling pathway toxicities and adverse effects that arise from exposure to these metals. Keywords: metallic joint prostheses, prosthetic metal release, potential toxicity and adverse effects

Yanhua Liu,1,2,&ast; Fuxing Li,1,2,&ast; Youling Fang,2,3 Qiaoshi Zhong,1,2 Yanping Xiao,1,2 Yunwei Zheng,1,2 Junqi Zhu,2,3 Chuwen Zhao,2,3 Xingwei Cao,1,2 Jianqiu Xiong,4 Longhua Hu1,2 1The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi, Nanchang, People’s Republic of China; 2Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, People’s Republic of China; 3School of Public Health, Nanchang University, Jiangxi, Nanchang, People’s Republic of China; 4Department of Nursing, the Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jianqiu Xiong, Department of Nursing, The Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Jiangxi, Nanchang, 330006, People’s Republic of China, Email 1773014059@qq.com Longhua Hu, Department of Jiangxi Provincial Key Laboratory of Medicine, Clinical Laboratory of the Second Affiliated Hospital of Nanchang University, Mingde Road No. 1, Jiangxi, Nanchang, 330006, People’s Republic of China, Email longhuahu@163.comObjective: This research aimed to analyze the clinical characteristics, prognosis, and antimicrobial treatment of bloodstream infections (BSI) caused by Enterobacter cloacae complex (ECC).Methods: The clinical data of patients with bloodstream infections caused by Enterobacter cloacae complex from April 2017 to June 2023 were collected retrospectively. These data were then analyzed in subgroups based on the detection results of extended-spectrum β-lactamase (ESBL), 30-day mortality, and the type of antimicrobial agent used (β-lactam/β-lactamase inhibitor combinations (BLICs) or carbapenems).Results: The proportion of ESBL-producing Enterobacter cloacae complex was 32.5% (37/114). Meanwhile, ICU admission, receiving surgical treatment within 3 months, and biliary tract infection were identified as risk factors for ESBL-producing ECC-BSI. Additionally, immunocompromised status and Sequential Organ Failure Assessment (SOFA) score ≥ 6.0 were identified as independent risk factors of 30-day mortality in patients with ECC-BSI (n = 108). Further analysis in BSI patients caused by non-ESBL-producing ECC revealed that patients treated with BLICs (n = 45) had lower SOFA scores and lower incidence of hypoproteinemia and sepsis compared with patients treated with carbapenems (n = 20). Moreover, in non-ESBL-producing ECC-BSI patients, the univariate Cox regression analysis indicated a significantly lower 30-day mortality rate in patients treated with BLICs compared to those treated with carbapenems (hazard ratios (HR) [95% CI] 0.190 [0.055– 0.662], P = 0.009; adjusted HR [95% CI] 0.106 [0.013– 0.863], P = 0.036).Conclusion: This study investigated the factors influencing the susceptibility to infection by ESBL-producing strains and risk factors for 30-day mortality in ECC-BSI patients. The results revealed that ESBL-negative ECC-BSI patients treated with BLICs exhibited significantly lower 30-day mortality compared to those treated with carbapenems. BLICs were found to be more effective in ECC-BSI patients with milder disease (ESBL-negative and SOFA ≤ 6.0).Keywords: Enterobacter cloacae complex, extended-spectrum β-lactamase, bloodstream infection, risk factors, β-lactam/β- lactamase inhibitor combinations, carbapenems

Qiang Ye,1 Guoping Huang,1 Qin Hu,1 Qin Man,2 Xiaoying Hao,3 Liangyan Liu,4 Qiang Zhong,1 Zhao Jin2 1Department of Clinical Laboratory, West China Second University Hospital, Southern Sichuan Women’s and Children’s Hospital, Zigong, Sichuan, 643000, People’s Republic of China; 2Department of Prenatal Diagnosis Center, West China Second University Hospital, Southern Sichuan Women’s and Children’s Hospital, Zigong, Sichuan, 643000, People’s Republic of China; 3Department of Ultrasound, West China Second University Hospital, Southern Sichuan Women’s and Children’s Hospital, Zigong, Sichuan, 643000, People’s Republic of China; 4Department of Obstetrics, West China Second University Hospital, Southern Sichuan Women’s and Children’s Hospital, Zigong, Sichuan, 643000, People’s Republic of ChinaCorrespondence: Zhao Jin, Department of Prenatal Diagnosis Center, West China Second University Hospital, Southern Sichuan Women’s and Children’s Hospital, No. 49 Da Huang Tong Road, Da’an District, Zigong, Sichuan, 643000, People’s Republic of China, Tel +86-13990094008, Email Jinzhao_work@163.comObjective: This study was to evaluate the performance of noninvasive prenatal testing (NIPT) in detecting fetal chromosome disorders in pregnant women.Methods: From October 1st, 2017, to December 31th, 2022, a total of 15,304 plasma cell free DNA-NIPT samples were collected for fetal chromosome disorders screening. The results of NIPT were validated by confirmatory invasive testing or clinical outcome follow-up. Further, NIPT performance between low-risk and high-risk groups, as well as singleton pregnancy and twin pregnancy groups was compared. Besides, analysis of 111 false-positive cases was performed.Results: Totally, NIPT was performed on 15,086 eligible venous blood samples, of which 179 (1.19%) showed positive NIPT results and 68 were further validated to be true positive samples via confirmatory invasive testing or follow-up of clinical outcomes. For common chromosome aneuploidies, sex chromosome abnormalities (SCA) and other chromosomal aneuploidies, the detection sensitivities of NIPT were all 100%, the specificities were 99.87%, 99.70%, and 99.68% and the positive predictive values (PPVs) were 65.45%, 31.82%, and 10.91%, respectively. No statistically significant variance in detection performance was observed among 2987 high-risk and 12,099 low-risk subjects, as well as singleton and twin pregnancy subjects. The concentration of cell-free fetal DNA of 111 false-positive cases ranged from 5.5% to 33.7%, which was higher than the minimum requirement of NIPT.Conclusion: With stringent protocol, NIPT shows high sensitivity and specificity for detecting fetal chromosome disorders in a large-scale clinical service, helping improving overall pregnancy management.Keywords: noninvasive prenatal testing, fetal chromosome disorders, high risk, twin pregnancy, performance evaluation

Xiaohong Chen,1,&ast; Shiqi Zhou,2,&ast; Lin Yang,1 Qianqian Zhong,1 Hongguang Liu,3 Yongjian Zhang,1 Hanyi Yu,2 Yongjiang Cai1 1Center of Health Management, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China; 2School of Future Technology, South China University of Technology, Guangzhou, People’s Republic of China; 3Center of Health Management, Huazhong University of Science and Technology Union Hospital (Nanshan Hospital), Shenzhen, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yongjiang Cai, Center of Health Management, Peking University Shenzhen Hospital, Shenzhen, 518036, People’s Republic of China, Email caiyj2000@sina.cn Hanyi Yu, School of Future Technology, South China University of Technology, Guangzhou, People’s Republic of China, Email yuhanyi@scut.edu.cnPurpose: The purpose of this study is to explore the independent-influencing factors from normal people to prediabetes and from prediabetes to diabetes and use different prediction models to build diabetes prediction models.Methods: The original data in this retrospective study are collected from the participants who took physical examinations in the Health Management Center of Peking University Shenzhen Hospital. Regression analysis is individually applied between the populations of normal and prediabetes, as well as the populations of prediabetes and diabetes, for feature selection. Afterward,the independent influencing factors mentioned above are used as predictive factors to construct a prediction model.Results: Selecting physical examination indicators for training different ML models through univariate and multivariate logistic regression, the study finds Age, PRO, TP, and ALT are four independent risk factors for normal people to develop prediabetes, and GLB and HDL.C are two independent protective factors, while logistic regression performs best on the testing set (Acc: 0.76, F-measure: 0.74, AUC: 0.78). We also find Age, Gender, BMI, SBP, U.GLU, PRO, ALT, and TG are independent risk factors for prediabetes people to diabetes, and AST is an independent protective factor, while logistic regression performs best on the testing set (Acc: 0.86, F-measure: 0.84, AUC: 0.74).Conclusion: The discussion of the clinical relationships between these indicators and diabetes supports the interpretability of our feature selection. Among four prediction models, the logistic regression model achieved the best performance on the testing set.Keywords: prediabetes, prediction model, physical examination, machine learning, regression analysis

Di Zhu,1,2,&ast; Chi Wang,1,&ast; You Zhou,3 Hebin Che,1 Ruiqing Wang,1,2 Liting Cheng,3 Chongyou Rao,1,2 Qin Zhong,1 Zongren Li,1 Yongjie Duan,1,2 Kunlun He1 1Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People’s Republic of China; 2Graduate School of PLA General Hospital, Beijing, 100853, People’s Republic of China; 3School of Medicine, Nankai University, Tianjin, 300071, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Kunlun He, Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, 28 Fuxing Road, Beijing, 100853, People’s Republic of China, Tel +86-10-66939107, Email kunlunhe@plagh.orgBackground: The associations of two novel inflammation biomarkers, systemic inflammation response index (SIRI) and systemic immune inflammation index (SII), with mortality risk in patients with chronic heart failure (CHF) are not well-characterized.Methods: This retrospective cohort study included patients with CHF in two medical centers of Chinese People’s Liberation Army General Hospital, Beijing, China. The outcomes of this study included in-hospital mortality and long-term mortality. Associations of SIRI and SII with mortality were assessed using multivariable regressions and receiver operating characteristic (ROC) analyses.Results: A total of 6232 patients with CHF were included in the present study. We documented 97 cases of in-hospital mortality and 1738 cases of long-term mortality during an average 5.01-year follow-up. Compared with patients in the lowest quartile of SIRI, those in the highest quartile exhibited 134% higher risk of in-hospital mortality (adjusted odds ratio, 2.34; 95% confidence interval [CI], 1.16– 4.72) and 45% higher risk of long-term mortality (adjusted hazard ratio, 1.45; 95% CI, 1.25– 1.67). Compared with patients in the lowest quartile of SII, those in the highest quartile exhibited 27% higher risk of long-term mortality (adjusted hazard ratio, 1.27; 95% CI, 1.11– 1.46). In ROC analyses, SIRI showed better prognostic discrimination than C-reactive protein (area under the curve: 69.39 vs 60.91, P = 0.01, for in-hospital mortality; 61.82 vs 58.67, P = 0.03, for 3-year mortality), whereas SII showed similar prognostic value with C-reactive protein.Conclusion: SIRI and SII were significantly associated with mortality risk in patients with CHF. SIRI may provide better prognostic discrimination than C-reactive protein.Keywords: systemic inflammation, systemic immune inflammation index, systemic inflammation response index, chronic heart failure, mortality risk

Kaixiong Liu,1– 3,&ast; Luling Wu,4,5,&ast; Gongping Chen,1– 3,&ast; Dunhuan Zeng,1– 3 Qiwei Zhong,6 Li Luo,1,2 Bin Song,7 Xiuhong Ying,1,2 Fayu Ni,8 Lifang Yu,8 Liyu Xu,9 Xin Lin,9 Xiaoyan Chen,10 Xin Zou,11 Jianhong Xiao,7 Yuekai Hu5,12,13 1Department of Respiratory and Critical Care medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, People’s Republic of China; 3Institute of Respiratory Disease, Fujian Medical University, Fuzhou, People’s Republic of China; 4Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China; 5Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China; 6Department of Respiratory and Critical Care Medicine, Minnan Hospital, the First Affiliated Hospital of Fujian Medical University, Quau zhou, People’s Republic of China; 7Department of Respiratory and Critical Care Medicine, Mindong Hospital Affiliated to Fujian Medical University, Ningde, People’s Republic of China; 8Department of Respiratory, Fuqing General Hospital Affiliated to Fujian Medical University, Fuzhou, People’s Republic of China; 9Department of Respiratory and Critical Care Medicine, Fuzhou First Hospital of Fujian Medical University, Fuzhou, People’s Republic of China; 10Department of Emergency Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, People’s Republic of China; 11Department of Respiratory and Critical Care Medicine, LongYan First Hospital Affiliated to Fujian Medical University, Longyan, People’s Republic of China; 12Department of Infectious Diseases, First Affiliated Hospital of Fujian Medical University, Fuzhou, People’s Republic of China; 13Department of Infectious Diseases, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yuekai Hu; Jianhong Xiao, Email huyuekai@fudan.edu.cn; xjh1030@sina.comObjective: This study aimed to describe and compare the epidemiological, demographic, clinical, laboratory and radiological characteristics as well as the complications, treatments, and outcomes of these patients.Methods: We retrospectively investigated clinical data of patients with C. psittaci infection (psittacosis) in eight Grade IIIA hospitals of Fujian. Metagenomic next-generation sequencing (mNGS) was used identify C. psittaci in clinical samples of all included patients.Results: A total of 74 patients (39 severe/35 non-severe) was diagnosed with psittacosis, 25 (33.8%) of whom had history of poultry exposure. Common symptoms included high fever (98% [37/74]), fatigue (52.7% [39/74]), and dyspnea (51.4% [38/74]). Common manifestations in imaging included consolidation (89.2%), pleural effusion (77.0%), and air bronchogram (66.2%). Common complications included acute respiratory distress syndrome (55.4% [41/74]), type I respiratory failure (52.7% [39/74]), acute liver injury (41.9% [31/74]), and secondary infection (27.0% [20/74]). The in-hospital mortality rate was 8.11% (6/74).Conclusion: C. psittaci infection is represents an underestimated cause of CAP. For SCAP patients with poultry and bird contact history, specimens were encouraged to be sended for mNGS test in time. C. psittaci infection can lead to severe, multiple system involvement, and several complications. mNGS facilitate timely diagnosis of C. psittaci infection.Keywords: Chlamydia psittaci, metagenomic next-generation sequencing, community-acquired pneumonia, bronchoalveolar lavage fluid

Luo H, Hang Y, Zhu H, et al. Infect Drug Resist. 2023;16:2601–2609 Following a review of the paper post-publication, the authors realized the Funding statement on page 2607 was incorrect. The correct Funding statement is as follows: Funding This work was supported by the National Natural Science Foundation of China (82060391), the Natural Science Foundation of Jiangxi Province (No. 20202BAB216021), the Health Commission of Jiangxi Province (No. 20201034). The authors apologize for any inconvenience caused to the readers.

Wang W, Zhong Q, Cheng K, Tan L, Huang X. Infect Drug Resist. 2023;16:7671–7681. Page 7671, Abstract, Methods section, first line, the text “A total of 92 non-repetitive” should read “A total of 96 non-repetitive”. The authors apologize for this error.