ObjectiveTo construct and validate a clinical prediction model for diabetic kidney disease （DKD） based on optical coherence tomography angiography （OCTA）. MethodsThis study enrolled 567 diabetes patients. The random forest algorithm as well as logistic regression analysis were applied to construct the prediction model. The model discrimination and clinical usefulness were evaluated by receiver operating characteristic curve （ROC） and decision curve analysis （DCA）， respectively. ResultsThe clinical prediction model for DKD based on OCTA was constructed with area under the curve （AUC） of 0.878 and Brier score of 0.11. ConclusionsThrough multidimensional verification， the clinical prediction nomogram model based on OCTA allowed for early warning and advanced intervention of DKD.

Rapid and living guidelines are those developed in response to public health emergencies in a short period of time using a scientific and standardized approach. Subsequently， they provide timely and credible recommendations for decision makers through regular and frequent updates of clinical evidence and recommendations. In this paper， we introduced the definition of rapid and living guideline as well as analyzed the basic characteristics of eight rapid and living guidelines in the field of traditional Chinese medicine （TCM） published till 2023 June， summarizing three core methodological issues in relation to how to rapidly develop guidelines， how to formulate recommendations when there is lack of evidence， and how to ensure the timeliness of guidelines. Based on the analysis of current rapid and living guidelines， it is implicated that there is necessity to carry out rapid and living guideline in the field of TCM， and the methodology of rapid integration of multivariate evidence in the field of TCM needs to be further explored； furthermore， it is necessary to further explore the obstacles of implementation of guidelines and promote timely updating， all of which provide certain theoretical references for relevant guideline developers and researchers.

In developing rapid and living guidelines of traditional Chinese medicine （TCM） in response to public health emergencies， it is important that evidence continue to be reviewed， and clinical questions and recommendations updated if necessary， due to the rapid changes in disease progression and the continuous generation of relevant research evidence. This paper proposed that the updating scope in dynamic mode should first be identified； then evidence monitoring should be carried out in four aspects， including clinical research， related guidelines or laws and regulations， disease progression， as well as clinical use of recommendations and clinical needs； finally， based on the results of the evidence monitoring， different options should be made， including revising the clinical questions， updating the evidence and recommendations， and withdrawing the guideline.

Objective:To analyze the epidemiological characteristics of norovirus (NoV) acute gastroenteritis (AGE) outbreaks caused by GII.17[P17] variant in China, 2022.Methods:Information and specimens of AGE outbreaks between January and December 2022 were collected. NoV RNA was detected in all specimens by real-time RT-PCR. The viral genome of the positive specimens were amplified, sequenced and analyzed.Results:Between January and December 2022, 360 AGE outbreaks were reported cumulatively, of which 266 outbreaks successfully obtained genotype results. GII.17 [P17] was one of the main genotypes and detected in 34 outbreaks (12.78%, 34/266), with the highest number of outbreaks detected in spring (6 outbreaks in March and 7 outbreaks in May), mainly in childcare facilities and primary schools (61.76%, 21/34). According to the result of NoV genotype analysis in different age groups, 14 strains of GII.17 [P17] in this study belonged to Cluster III b and SC III branch of Cluster III (Kawasaki308) in the capsid region and polymerase region, respectively, and both belonged to the same cluster as the variant strain (GZ41621 strain) that caused the NoV AGE outbreaks in China during the 2014/15 season. Compared to reference strains of Cluster I, Cluster II and Cluster III a, Cluster III b was provided with 22 amino acid mutations in VP1. The main amino acid changes in the subgroup of Cluster III b including the virus strains isolated in this study were at T294I and Q299R of antigen epitope A, an insertion mutation occurred at antigen epitope D, H353Q at the site I of the human histo-blood group antigen receptor binding site. The selection pressure analysis detected a large number of negative selection sites, indicating that negative selection plays an important role in the evolution of VP1 genes.Conclusions:GII.17 [P17] was one of the primary genotypes responsible for NoV diarrhea outbreaks in China in 2022. Phylogenetic analysis had revealed that it still belonged to the same cluster as the novel GII.17 [P17] variant (strain GZ41621) that caused NoV epidemics in China during the 2014/15 season, exhibiting minor amino acid variations at the potential epitope.

Objective:To evaluate the diagnostic performance and clinical significance of SLE-DAS in the disease activity of SLE patients in China.Methods:The clinical data of 134 patients with SLE were collected. The disease activity was evaluated by SLE-DAS, SLEDAI-2000, BILAG-2004 and PGA scoring tools. Pearson test and Spearman test were used to analyze the correlation. The receiver operating characteristic curve (ROC curve) was used to evaluate SLE-DAS, and Kappa consistency test was adapted to assess the consistency of the two scoring methods.Results:One hundred and thirty-four patients with SLE, including 7 males and 127 females, aged 13-77 years, with an average of (35±13) years were included. Among them, renal involvement was 38.1%, skin mucosal involvement was 11.2%, musculoskeletal involvement was 8.2%, blood system involvement was 13.4%, heart and lung involvement was 2.2%, neuropsychiatric involvement was 1.5%, and multisystem involvement was 3.0%. SLE-DAS was positively correlated with CRP, ESR, anti-dsDNA antibody, urinary protein (24 h) level, SLEDAI-2000, BILAG-2004 and PGA ( r=0.25, 0.34, 0.47, 0.77, 0.93, 0.94, 0.95, P<0.01); SLE-DAS was negatively correlated with PLT, Hb, C3 and C4 ( r=-0.29, -0.43, -0.41, -0.32, P<0.01). When SLEDAI-2000>5 was used as a cut point for analyzing SLE-DAS, the results showed that the area under the curve (AUC) 95% CI of SLE-DAS was 0.961 (0.927,0.995), the Yoden index was 0.845. When the cut-off value was set up to 4.65( P<0.001), the sensitivity was 98.11%, the specificity was 86.42%, and the accuracy was 91.04%. Kappa consistency test showed that kappa value was 0.819( P<0.001). Conclusions:SLE-DAS can be used to evaluate the disease activity of SLE patients and can be used as the evidence to guide treatment plan in clinical practice.

Objective:To investigate the relationship between monocyte/high-density lipoprotein ratio (MHR) and clinical parameters and the prognosis of patients with chronic kidney disease (CKD).Methods:Clinical data were collected of CKD patients who were diagnosed and followed up regularly in Henan Provincial People's Hospital from January 1, 2017 to June 30, 2020. According to the median baseline MHR of the selected patients, they were divided into two groups: low-level MHR group (MHR≤0.347 8) and high-level MHR group (MHR>0.347 8). The patients were regularly followed up for 3-42 months, the renal adverse prognostic events were defined as serum creatinine doubled, estimated glomerular filtration rate (eGFR) reduced to at least 50% of the original, new entry into end-stage renal disease (ESRD), starting renal replacement therapy, death due to renal or cardiovascular events. The Kaplan-Meier method was used to compare the differences in survival rates between the two groups, and Cox regression analysis method was used to explore the influencing factors of renal adverse prognosis in CKD patients. Stratified analysis was used to find special factors that might affect the relationship between MHR and renal adverse prognosis in CKD patients.Results:A total of 405 patients were included in this study. Their age was (49.77±14.82) years old. Body mass index was (25.18±4.22) kg/m 2. Women accounted for 30.62%(124/405). The proportion of patients with smoking, drinking, hypertension and diabetes was 39.51%(160/405), 35.06%(142/405), 73.33%(297/405) and 38.27%(155/405), respectively. Compared with the low-level MHR group ( n=202), the high-level MHR group ( n=203) had more people in late CKD, males, and hypertension (all P<0.01), and body mass index, white blood cells, monocytes, serum creatinine, serum uric acid, serum urea nitrogen, retinol binding protein, cystatin C, blood phosphorus were higher (all P<0.05), while hemoglobin, high density lipoprotein and eGFR were lower (all P<0.05). Spearman rank correlation results show that MHR level was positively correlated with white blood cells, serum creatinine, serum uric acid, serum urea nitrogen, retinol-binding protein, cystatin C, serum phosphorus (all P<0.01), and negatively correlated with hemoglobin and eGFR (both P<0.01). The median follow-up time was 8(4, 16) months. To the end of the follow-up, 113 patients (27.90%) had renal adverse prognostic events. Kaplan-Meier survival analysis results showed that the renal cumulative survival rate of the high-level MHR group was lower than that of the low-level MHR group ( χ2=8.277, P=0.004). Multivariate Cox regression analysis showed that high MHR level was an independent influencing factor for poor renal prognosis in CKD patients ( HR=1.628, 95% CI 1.050-2.523, P=0.029). Stratified analysis showed that, without hypertension, MHR had a more significant effect on the prognosis of the kidneys ( HR=3.414, 95% CI 1.091-10.686, P for interaction=0.001). Conclusions:The level of MHR is related to the severity and poor renal prognosis of CKD, and the high MHR level is an independent predictor for poor renal prognosis in CKD patients.

Objective:To understand the molecular characteristics of Escherichia coli producing Shiga toxin 2e subtype isolated from different sources in China. Methods:Three human-derived, 13 animal-derived and eight food-derived stx2e-positive Escherichia coli strains which were isolated during 2012 to 2018 were analyzed by antimicrobial susceptibility testing and whole genome sequencing. The stx subtype, serotype, multi-locus sequence type, virulence genes and antimicrobial resistance genes of each strain were determined by whole genome sequences. The phylogenetic relationship and genetic composition of Shiga-toxin prophage were explored. Results:Twenty-four stx2e-STEC strains were typed into 19 O∶H serotypes and 19 sequence types (STs). Each strain carried at least one kind of antimicrobial resistance gene and 19 out of 24 strains were resistant to at least one kind of antimicrobials. Three human-derived strains were heterogenous in serotypes and STs, but there were several animal and food-derived strains shared the same serotype or ST with human strains and showed close relationship in the phylogenetic analysis. The sequences of stx2e among all strains were highly conserved (similarity >99.7%), but there were significant differences in the size and the gene composition of Shiga toxin prophage genome. Conclusions:This is report about the characteristics of rare human-derived Stx2e-STEC strains in China. Comparing human isolates with animal-and food-derived strains, it indicates that Stx2e-STEC strains are highly genetic diversity and have the potential to infect humans.

Objective:To evaluate the antimicrobial resistance of non-O157 Shiga toxin-producing Escherichia coli (STEC) isolated from human cases. Methods:From 2011 to 2019, 33 non-O157 STEC strains recovered from diarrheal patients from 7 provinces/cities were collected, including Qinghai (1 isolate), Heilongjiang (1 isolate), Guangxi (2 isolates), Shandong (2 isolates), Guangdong (4 isolates), Henan (11 isolates), and Shanghai (12 isolates). Minimum inhibitory concentration (MIC) of 19 antimicrobials were tested by broth microdilution method; O∶H serotypes, Multi-locus sequence typing (MLST) and antimicrobial resistance genes were determined by whole genome sequencing.Results:A total of 33 non-O157 STEC strains were typed into 19 O∶H serotypes and 17 sequence types (STs), respectively. Ten strains were resistant to one or more antibiotics,of which five were multiple drug-resistant (MDR). The resistance rate of tetracycline was 30.3% (10 isolates), and azithromycin resistant strains were detected (12.12%, 4 isolates), but all strains were susceptible to carbapenems. All strains carried the blaEC gene, and the Extended-Spectrum β-Lactamase (ESBL) genotype blaCTX-M-15 were detected (3.0%, 1 isolates). The fosA7 gene was firstly detected in non-O157 STEC strains. Conclusion:MDR, azithromycin resistance, and multiple drug resistance genes were detected in human-derived non-O157 STECs in many regions in China, but they were all susceptible to carbapenems. Our results might guide the clinical treatment of STEC infections.

Objective:To evaluate the antimicrobial resistance of non-O157 Shiga toxin-producing Escherichia coli (STEC) isolated from human cases. Methods:From 2011 to 2019, 33 non-O157 STEC strains recovered from diarrheal patients from 7 provinces/cities were collected, including Qinghai (1 isolate), Heilongjiang (1 isolate), Guangxi (2 isolates), Shandong (2 isolates), Guangdong (4 isolates), Henan (11 isolates), and Shanghai (12 isolates). Minimum inhibitory concentration (MIC) of 19 antimicrobials were tested by broth microdilution method; O∶H serotypes, Multi-locus sequence typing (MLST) and antimicrobial resistance genes were determined by whole genome sequencing.Results:A total of 33 non-O157 STEC strains were typed into 19 O∶H serotypes and 17 sequence types (STs), respectively. Ten strains were resistant to one or more antibiotics,of which five were multiple drug-resistant (MDR). The resistance rate of tetracycline was 30.3% (10 isolates), and azithromycin resistant strains were detected (12.12%, 4 isolates), but all strains were susceptible to carbapenems. All strains carried the blaEC gene, and the Extended-Spectrum β-Lactamase (ESBL) genotype blaCTX-M-15 were detected (3.0%, 1 isolates). The fosA7 gene was firstly detected in non-O157 STEC strains. Conclusion:MDR, azithromycin resistance, and multiple drug resistance genes were detected in human-derived non-O157 STECs in many regions in China, but they were all susceptible to carbapenems. Our results might guide the clinical treatment of STEC infections.

Objective:To investigate the prevalence and molecular characteristics of Escherichia coli ( E. coli) producing a novel Shiga toxin 2k subtype in goat in Lanling county, Shandong province. Methods:In November 2019, 512 goat fecal samples were collected from different households in Lanling county, Shandong province. After enriched with EC broth, stx-positive samples were detected by PCR and inoculated in CHROMagar? ECC agar and CHROMagar? STEC agar. The whole genomes of stx-positive strains were sequenced. Based on the genomic senquences, the stx subtype, serotype, multi-locus sequence type and virulence genes of each strain were analyzed. Results:Eighty-six strains of Shiga toxin-producing E. coli (STEC) were isolated from 512 goat fecal samples. Five stx subtypes were identified and 37 strains were positive for stx2k. The 86 STEC strains belonged to 20 O∶H serotypes and 18 different sequence types (STs). Conclusions:STEC strains circulating in goats in Lanling county, Shandong province were heterogeneous in stx subtypes, serotypes and virulence gene profiles, and a certain proportion of strains producing a novel Shiga toxin 2k subtype were detected.