1.Complications among patients undergoing orthopedic surgery after infection with the SARS-CoV-2 Omicron strain and a preliminary nomogram for predicting patient outcomes.
Liang ZHANG ; Wen-Long GOU ; Ke-Yu LUO ; Jun ZHU ; Yi-Bo GAN ; Xiang YIN ; Jun-Gang PU ; Huai-Jian JIN ; Xian-Qing ZHANG ; Wan-Fei WU ; Zi-Ming WANG ; Yao-Yao LIU ; Yang LI ; Peng LIU
Chinese Journal of Traumatology 2025;28(6):445-453
PURPOSE:
The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery.
METHODS:
A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications.
RESULTS:
In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram.
CONCLUSION
Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans
;
COVID-19/complications*
;
Male
;
Female
;
Middle Aged
;
Postoperative Complications/epidemiology*
;
SARS-CoV-2
;
Orthopedic Procedures/adverse effects*
;
Aged
;
Nomograms
;
Adult
;
Retrospective Studies
;
Risk Factors
2.Associations of Ureaplasma urealyticum infection with male infertility and intrauterine insemination outcomes.
Yang-Yang WAN ; Xiao-Yun SHI ; Wen-Jing LIU ; Shun BAI ; Xin CHEN ; Si-Yao LI ; Xiao-Hua JIANG ; Li-Min WU ; Xian-Sheng ZHANG ; Juan HUA
Asian Journal of Andrology 2025;27(2):219-224
Ureaplasma urealyticum (UU) is one of the most commonly occurring pathogens associated with genital tract infections in infertile males, but the impact of seminal UU infection in semen on intrauterine insemination (IUI) outcomes is poorly understood. We collected data from 245 infertile couples who underwent IUI at The First Affiliated Hospital of USTC (Hefei, China) between January 2021 and January 2023. The subjects were classified into two groups according to their UU infection status: the UU-positive group and the UU-negative group. We compared semen parameters, pregnancy outcomes, and neonatal birth outcomes to investigate the impact of UU infection on IUI outcomes. There were no significantly statistical differences in various semen parameters, including semen volume, sperm concentration, total and progressive motility, sperm morphology, leukocyte count, the presence of anti-sperm antibody, and sperm DNA fragmentation index (DFI), between the UU-positive and UU-negative groups of male infertile patients (all P > 0.05). However, the high DNA stainability (HDS) status of sperm differed between the UU-positive and UU-negative groups, suggesting that seminal UU infection may affect sperm nuclear maturation ( P = 0.04). Additionally, there were no significant differences in pregnancy or neonatal birth outcomes between the two groups (all P > 0.05). These results suggest that IUI remains a viable and cost-effective option for infertile couples with UU infection who are facing infertility issues.
Humans
;
Male
;
Ureaplasma Infections/complications*
;
Female
;
Infertility, Male/therapy*
;
Ureaplasma urealyticum/isolation & purification*
;
Pregnancy
;
Adult
;
Pregnancy Outcome
;
Semen Analysis
;
Insemination, Artificial
;
Semen/microbiology*
;
China
3.Clinical characteristics of trimethoprim-sulfamethoxazole-induced rash during treatment of pertussis in children.
Bing-Song WANG ; Kai-Hu YAO ; Xian-Yi ZHANG ; Jing WU ; Fei YING ; Li-Min DONG
Chinese Journal of Contemporary Pediatrics 2025;27(10):1227-1232
OBJECTIVES:
To study the clinical characteristics of rashes induced by trimethoprim-sulfamethoxazole (TMP-SMZ) in children treated for pertussis and to inform safe medication practices.
METHODS:
A retrospective analysis was conducted on 238 children diagnosed with pertussis and treated with TMP-SMZ at Wuhu First People's Hospital from January to August 2024. The incidence and clinical features of rashes were summarized.
RESULTS:
Of 238 children, 34 (14.3%) developed rashes; 19 (55.9%) were boys, and the 5 to <10-year age group accounted for the highest proportion (70.6%, 24/34). A history of allergic disease was present in 50.0% (17/34). Rashes typically appeared on or after day 7 of therapy (82%, 28/34) and were predominantly erythematous or maculopapular eruptions (97%, 33/34); 71% (24/34) were pruritic. Fever occurred in 56% (19/34); among those who were tested for respiratory viruses, 77% (10/13) were positive for viruses such as rhinovirus and adenovirus. After discontinuation of TMP-SMZ, rashes resolved within 3 days in 97% (33/34) of patients (41% within 1 day; 56% within more than 1 but within 3 days). There was no significant difference in rash incidence between photoprotection and non-photoprotection groups (P>0.05).
CONCLUSIONS
TMP-SMZ for pertussis can induce rashes, particularly in children aged 5 to <10 years. The eruption is usually a pruritic erythematous or maculopapular rash, with over half of cases accompanied by fever and frequent concomitant viral infections. Most rashes resolve within 3 days after drug withdrawal. The potential association between the rash and sun exposure warrants further investigation.
Humans
;
Male
;
Child, Preschool
;
Trimethoprim, Sulfamethoxazole Drug Combination/therapeutic use*
;
Child
;
Female
;
Exanthema/chemically induced*
;
Retrospective Studies
;
Infant
;
Whooping Cough/drug therapy*
;
Adolescent
4.Clinical Effects of Pomalidomide-Based Regimen in the Treatment of Relapsed and Refractory Multiple Myeloma.
Man YANG ; Yan HUANG ; Ling-Xiu ZHANG ; Guo-Qing LYU ; Lu-Yao ZHU ; Xian-Kai LIU ; Yan GUO
Journal of Experimental Hematology 2025;33(2):431-436
OBJECTIVE:
To study the clinical effects of pomalidomide-based regimen in the treatment of relapsed and refractory multiple myeloma (RRMM).
METHODS:
60 patients with RRMM in hematology department of the First Affiliated Hospital of Xinxiang Medical University from November 2020 to January 2023 were selected. Among them, 15 cases were treated with PDD regimen (pomalidomide + daratumumab + dexamethasone), and 45 cases were treated with PCD regimen (pomalidomide + cyclophosphamide + dexamethasone). The clinical effects were evaluated.
RESULTS:
The median number of treatment cycles for the entire cohort was 5 (2-11), with an overall response rate (ORR) of 75.0%. The ORR of patients treated with PDD regimen was 73.3%, while the ORR of patients treated with PCD regimen was 75.6%. The ORR of 46 patients with non high-risk cytogenetic abnormalities (non-HRCA) was 86.9%, significantly higher than the 35.7% of 14 patients with HRCA (χ2 =15.031, P < 0.05). The median PFS for all patients was 8.0(95%CI : 6.8-9.1) months and the median OS was 14.0 (95%CI : 11.3-16.7) months. Among patients treated with PDD regimen, the PFS and OS of patients with non-HRCA were significantly higher than those of patients with HRCA [PFS: 7.0(95%CI : 4.6-9.3) months vs 4.0(95%CI : 3.1-4.8) months, χ2 =5.120, P < 0.05; OS: not reached vs 6.0(95%CI : 1.1-10.9) months, χ2 =9.870, P < 0.05]. Among patients treated with PCD regimen, the PFS and OS of patients with non-HRCA were significantly higher than those of patients with HRCA [PFS: 9.0(95%CI : 6.2-11.8) months vs 6.0(95%CI : 5.4-6.6) months, χ2=14.396, P < 0.05; OS: not reached vs 11.0(95%CI : 6.4-15.6) months, χ2 =7.471, P < 0.05].
CONCLUSION
The pomalidomide-based regimen has a good clinical effect and safety in the treatment of RRMM.
Humans
;
Multiple Myeloma/drug therapy*
;
Thalidomide/administration & dosage*
;
Dexamethasone/therapeutic use*
;
Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
;
Female
;
Male
;
Middle Aged
;
Recurrence
;
Aged
;
Cyclophosphamide/therapeutic use*
;
Treatment Outcome
;
Antibodies, Monoclonal
5.Efficacy and Safety of Fuzheng Jiedu Xiaoji Formula Combined with Conventional Western Therapy in Advanced HBV-HCC: A Single-Center, Randomized Controlled Trial.
Yi ZHANG ; Ke SHI ; Yong-Qi LI ; Yao LIU ; Ying FENG ; Xian-Bo WANG
Chinese journal of integrative medicine 2025;31(10):867-876
OBJECTIVES:
To evaluate whether adding Fuzheng Jiedu Xiaoji (FZJDXJ) therapy improves survival in advanced hepatitis B virus-related HCC (HBV-HCC) patients.
METHODS:
This prospective, randomized controlled study was performed at a major academic medical center in Beijing, China from October 2020 to October 2022. Eligible patients with advanced HBV-HCC were randomly divided equally (1:1) to receive either the combination of FZJDXJ and conventional Western medical therapy (63 cases, FZJDXJ group) or solely Western medicine (66 cases, control group). The study endpoints consisted of overall survival (OS) as the primary outcome, with progression-free survival (PFS), disease control rate (DCR), and adverse events (AEs) as secondary measures.
RESULTS:
The median OS was significantly prolonged in the FZJDXJ group at 8.9 months (95% CI: 6.0-11.9) vs. 4.4 months (95% CI: 3.2-7.3) in the control group (P<0.05). The hazard ratio for mortality in the FZJDXJ group was 0.59 (95% CI: 0.40-0.89), suggesting a 41% lower risk of death compared to the control group. The results revealed that patients receiving FZJDXJ therapy achieved a PFS of 5.1 months (95% CI: 4.1 to 7.2 months), compared to only 2.9 months (95% CI: 2.0 to 4.6 months) in the control group (P<0.05). Additionally, DCR was significantly elevated in the FZJDXJ group (20.6%) compared to the control group (10.6%, P<0.05). Subgroup analysis demonstrated that FZJDXJ significantly improved OS in patients with alpha-fetoprotein levels <400 ng/mL, age <60 years, Barcelona Clinic Liver Cancer (BCLC) stage C, and compensated liver function (Child-Pugh A and B, P<0.05). Multivariate analysis revealed that FZJDXJ therapy acted as an independent factor protecting against mortality within 1 year. Gastrointestinal symptoms are rare side effects, and no fatalities associated with the treatment were reported.
CONCLUSION
This randomized controlled trial demonstrated that FZJDXJ combined Western conventional therapy significantly improves OS and PFS in patients with advanced HBV-HCC. (registration No. ChiCTR2000033941).
Humans
;
Drugs, Chinese Herbal/adverse effects*
;
Male
;
Female
;
Middle Aged
;
Liver Neoplasms/virology*
;
Carcinoma, Hepatocellular/virology*
;
Treatment Outcome
;
Hepatitis B virus
;
Adult
;
Aged
;
Hepatitis B/drug therapy*
6.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.
7.The value of nomogram based on clinical features and CT radiomics in predicting the grade of clear cell renal cell carcinoma
Hongqing Zhu ; Tao Zhang ; Kangchen Gu ; Xian Wang ; Song Guan ; Yan Yan ; Wenjun Yao
Acta Universitatis Medicinalis Anhui 2025;60(6):1127-1133
Objective :
To explore the utility of a nomogram integrating contrast-enhanced CT radiomics with clinical features in the preoperative prediction of WHO/ISUP grade for clear cell renal cell carcinoma(ccRCC).
Methods:
A total of 214 patients with pathologically proven ccRCC who underwent enhanced CT scan before surgery were retrospectively included. According to the WHO/ISUP grade system, the cases were classified into low-grade(grades Ⅰ-Ⅱ) and high-grade(grades Ⅲ-Ⅳ), and then randomly divided into training and test set with a ratio of 4 ∶1. Regions of interest were segmented from both unenhanced and three-phase enhanced images, and radiomic features were extracted. Feature selection and dimensionality reduction were performed using Spearman rank correlation coefficients and LASSO regression, followed by the construction of the radiomic model with the KNN algorithm. Clinical and semantic imaging features were selected through univariate and multivariate analyses, and a clinical model was developed using the KNN algorithm. The clinical and radiomics signatures were used to construct a combined model and a nomogram was developed. The ROC curve and delong test were used to evaluate the diagnostic performance of the model, while calibration and decision curve analyses assessed its accuracy and clinical applicability.
Results:
8 clinical features and 11 radiomic features were selected. The combined model, integrating these clinical and radiomics signatures, exhibited robust predictive performance with AUC values of 0.887 in the training set and 0.800 in the test set. The calibration curve demonstrated good consistency between the nomogram model and actual outcomes, while decision curve analysis indicated a favorable net benefit for the nomogram.
Conclusion
The nomogram constructed by combining radiomics and clinical signatures can provide evidence for preoperative prediction of ccRCC grade and guide clinical decision-making.
8.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.
9.The Effect of SIRT5 Deletion on Recovery of Hematopoietic Stem Cells after Injury in Mouse
Yuan-Yao DENG ; Han-Chuan MOU ; Xian ZHANG ; Fan REN ; Zhi-Yang CHEN ; Zhen-Yu JU ; Hui-Ling LOU
Journal of Experimental Hematology 2024;32(2):568-576
Objective:To investigate the effect of deacylase Sirtuin 5 in the recovery of hematopoietic stem cells(HSCs)after treated by 5-FU in mouse.Methods:Flow cytometry was used to analyze the effect of SIRT5 deletion on the proportion of hematopoietic stem/progenitor cells(HSPCs)in bone marrow(BM),the proportion of T cells,B cells and myeloid cells(TBM)in peripheral blood(PB)and spleen,and the development of T cells in thymus.Mouse were treated with 5-FU to study the effect of SIRT5 deletion on the cell cycle,apoptosis and the proportion of HSPCs in BM.The effect of SIRT5 deletion on the proliferation of HSCs was analyzed by flow sorting in vitro.Results:SIRT5 deletion did not affect the development of T cells in thymus and the proportion of TBM cells in PB and spleen compared with wild type mice.SIRT5 deletion increased proportion of HSPCs in BM.After 5-FU treatment,the proportion of HSCs in SIRT5 deletion mice was significant decreased(P<0.05),the HSPC in SIRT5 deletion mice was activated from G0 to G1 phase(P<0.05),and the proportion of early apoptosis increased(P<0.05).By monoclonal culture in vitro,the ability of HSCs to form clones in SIRT5 deletion mice was decreased significantly(P<0.05).Conclusion:SIRT5 deletion lead to a decreased the ability of HSCs to clone in vitro.SIRT5 deletion is not conducive to the recovery of HSPCs injury in mice under hematopoietic stress.
10.Practice and exploration of safe export of medical-related scientific research data
Yingshuo HUANG ; Shuilong GUO ; Hongwei YAO ; Lihua WANG ; Xian ZHAO ; Zhenchang WANG ; Zhongtao ZHANG ; Shutian ZHANG
Chinese Journal of Hospital Administration 2024;40(4):310-315
Faced with the increasing demand for technological innovation, how to effectively carry out and regulate the export of medical-related scientific research data has become an urgent issue. The author reviewed the current requirements and status of data export in China and abroad, as well as the relevant requirements for medical data management in China, and introduced the practical experience of the first data compliance export case of medical field in China. In view of the main difficulties in the management of medical-related scientific research data export, such as the lack of multi-professional background members of the project team, the difficulty in writing professional documents, the relatively single template, the lack of personalized templates suitable for different professional field, and the need for homogenization of regulatory standards and requirements, it is proposed to rely on a qualified third-party platform in the form of entrusted business, adopt the optional mode under the general declaration template, establish unified regulatory standards, pay attention to the important data and national core data involved in the data export, pay attention to the ethical issues, and replace the original data with derivative data, and keep to " necessity principle" and " minimization principle", so as to provide reference for medical institutions and management departments to strengthen the standardized management and security guarantee of medical-related scientific research data export.


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