Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

According to the codon characteristics of the prokaryotic system,we synthesized the optimized Rv2628c-Rv1737c nucleic acid sequence and constructed the expression plasmid pET24a-Rv2628c-Rv1737c.After sequencing,expression in E.coli was induced.The fusion protein was found in inclusion bodies.After renaturation and affinity chromatography purifi-cation,the Rv2628c-Rv1737c recombinant protein,with a molecular weight of 57 kDa and a purity exceeding 90％,was ob-tained.The recombinant protein was used to stimulate PBMC cells from different patients,and the differences in IFN-γ mRNA expression were analyzed with q-PCR.The Rv2628c-Rv1737c fusion protein stimulated patients with TB,particularly latent TB infection(LTBI).The level of IFN-γ mRNA in PBMC cells was higher than that in healthy controls(P＜0.05).Mice immu-nized with BCG+Rv2628c-Rv1737c/DMT showed significant induction of high levels of IgG antibodies.Rv2628c-Rv1737c re-combinant protein,as a latent infection antigen,is recognized by PBMCs cells infected with TB,with strong immunogenicity,and thus may serve as a potential TB subunit vaccine target antigen.This protein may be used to prevent TB infection,particu-larly latent infection,and to perform laboratory diagnosis.

ObjectiveTo investigate the risk factors and construct a predictive model for severe myelosuppression due to chemotherapy in triple negative breast cancer （TNBC）. MethodsPatients with TNBC who received anthracycline combined with cyclophosphamide sequential paclitaxel chemotherapy regimen at the Second Affiliated Hospital of Nanchang University from September 2， 2016 to September 2， 2021 were selected and assigned to severe myelosuppression group and no/mild myelosuppression group. The χ² test and binary logistic regression were used to analyze the risk factors for severe myelosuppression due to chemotherapy and to develop a prediction model. Hosmer-Lemeshow test and receiver operating characteristic （ROC） curve were used to evaluate the predictive efficiency of the regression model. Kappa consistency test was used to verify the regression model externally. ResultsA total of 207 patients who met the inclusion were enrolled and 106 patients （51%） had severe myelosuppression. Binary logistic regression multivariate analysis showed that age 40 to 60 years （OR = 3.463， 95% CI： 1.144 to 10.486， P = 0.028）， age >60 years （OR = 3.474， 95% CI： 1.004 to 12.020， P = 0.049）， body mass index （BMI） 18.5 to 24.0 （OR = 1.445， 95% CI： 0.686 to 3.087， P = 0.328）， BMI <18.5 （OR = 3.582， 95% CI： 1.260 to 10.182， P = 0.017）， tumor TNM stage Ⅱ （OR = 1.698， 95% CI： 0.831 to 3.468， P = 0.146）， tumor TNM stage Ⅲ （OR = 2.943， 95% CI： 1.199 to 7.227， P = 0.019）， previous diabetes （OR = 2.441， 95% CI： 1.076 to 5.539， P = 0.033）， low pre-treatment albumin level （OR = 2.759， 95% CI： 1.141 to 6.669， P = 0.024） and low pre-treatment lymphocytes （OR = 3.428， 95% CI： 1.689 to 6.958， P = 0.001） were independent risk factors for severe myelosuppression due to chemotherapy. The χ² value for the logistic regression model Hosmer-Lemeshow test was 11.507， P= 0.175， the area under the ROC curve was 0.763， standard error 0.033， 95% CI： 0.698-0.828， P=0.000. External validation showed that the prediction model had a specificity of 88% and a sensitivity of 80%； the kappa value was 0.679， standard error 0.081， P=0.000. conclusionThis logistic regression model had high predictive efficacy and is useful for clinicians to predict whether patients with TNBC develop severe myelosuppression.

BACKGROUND: Rapid on-site evaluation (ROSE) is a technique used for simultaneous evaluation of biopsy specimens through rapid cytology staining. Diff-Quik (DQ) staining is the most commonly employed method for cytological rapid on-site evaluation (C-ROSE). However, the utilization of DQ staining for on-site cytological interpretation remains uncommon among pathologists in China, posing challenges to the implementation of C-ROSE. This study aims to assess the application of rapid hematoxylin-eosin (HE) staining and DQ staining for C-ROSE during percutaneous needle biopsy of peripheral lung cancer and evaluate the value of rapid HE staining in C-ROSE. METHODS: Computed tomography (CT)-guided lung biopsies were conducted on 300 patients diagnosed with peripheral lung cancer. The patients were randomly assigned to two groups for C-ROSE using either rapid HE staining or DQ staining, and subsequently the two methods were compared and evaluated. RESULTS: The concordance rate between C-ROSE and histopathological diagnosis was 96.7%. The median staining time for rapid HE staining was 160 s, while that for DQ staining was 120 s, representing a significant difference between the two groups (P<0.001). However, there were no significant differences observed in terms of total biopsy time, concordance rate with histopathology, cytology specimen peeling rate, and incidence of serious adverse reactions between the two groups (P>0.05). CONCLUSIONS Both staining methods comply with C-ROSE criteria in the biopsy setting of peripheral lung cancer. Rapid HE staining is more aligned with domestic clinical requirements and holds potential for further promotion and adoption in C-ROSE.
Humans ; Lung Neoplasms/pathology* ; Eosine Yellowish-(YS) ; Rapid On-site Evaluation ; Biopsy, Needle/methods* ; Staining and Labeling

Animals ; Antibodies, Neutralizing/biosynthesis* ; Antibodies, Viral/biosynthesis* ; Body Weight/immunology* ; COVID-19/virology* ; Disease Models, Animal ; Disease Progression ; Humans ; Immunohistochemistry ; Lung/virology* ; Male ; Mesocricetus ; Nasal Cavity/virology* ; RNA, Viral/immunology* ; SARS-CoV-2/pathogenicity* ; Severity of Illness Index ; Viral Load

OBJECTIVE: Prenatal phthalate exposure has been associated with placental inflammatory factors and infant allergic rhinitis (AR). However, the results are inconclusive. We designed a population-based cohort study to examine the effects of placental inflammatory biomarkers on the sex-dependent associations between maternal phthalate exposure and infant AR. METHODS: A total of 2,348 pregnant women from Ma'anshan, Anhui Province, China, who were screened before antenatal visits and met the inclusion criteria, were included in the present study. We assessed AR in their offspring aged 36 months with a questionnaire. Quantitative PCR was performed to measure placental inflammatory factor mRNAs. The independent samples t-test and multivariable logistic regression were used to determine the associations between infant AR and maternal phthalates. RESULTS: Childhood AR may be related to education and family monthly income ( P = 0.01). The phthalate metabolites, mono (2-ethylhexyl) phthalate (MEHP), mono (2-ethyl-5-hydroxyl) phthalate (MEHHP), in pregnant women were associated with a significantly increased risk for infant AR in males [ P < 0.05; odds ratio ( OR): 1.285; 95% confidence interval ( CI): 1.037-1.591, and OR: 1.232, 95% CI: 1.008-1.507, respectively], but not females. Additionally, irritably-increased expression levels of HO-1 and IL-4 were associated with AR in male infants ( OR: 1.175; 95% CI: 1.038-1.329 and OR: 1.181; 95% CI: 1.056-1.322, respectively). The association between maternal urinary MEHHP and placental HO-1 was marginally significant according to mediation analysis. CONCLUSION The associations of maternal MEHHP and MEOHP levels with fetal AR in males were significant. Placental HO-1 was a fractional mediator in the associations between MEHHP and AR. Thus, the placenta should be further investigated as a potential mediator of maternal exposure-induced disease risk in children.
Biomarkers ; Child, Preschool ; Cohort Studies ; Diethylhexyl Phthalate/analogs & derivatives* ; Female ; Humans ; Interleukin-4/pharmacology* ; Male ; Maternal Exposure/adverse effects* ; Phthalic Acids/adverse effects* ; Placenta ; Pregnancy ; Rhinitis, Allergic/epidemiology*

Objective: To examine the prevalence and trend of tobacco and e-cigarettes uses and identify the influencing factors for smoking behavior in junior middle school students in Shanghai, and provide data support and scientific basis for the development of tobacco control intervention strategy in adolescents. Methods: Multi-stage stratified random sampling method was used to select junior middle school students in 8 districts and 10 districts in Shanghai in 2013 and in 2019 respectively. Information about tobacco and e-cigarettes uses in the students were collected by using self-administrated questionnaire. The prevalence of tobacco and e-cigarettes uses were calculated, the difference between two years was compared with χ² test. The influencing factors were identified by multivariate logistic regression analysis. Results: In 2019, the current smoking rate was 0.6% in junior middle school students in Shanghai, and the smoking attempt rate was 2.9%, both were lower than the levels in 2013 (0.7% and 6.9%). The current use rate of e-cigarettes was 0.6% in 2019,with no significant change compared with 2013 (0.6%). The proportion of the students who had heard of e-cigarettes in 2019 (78.4%) was higher than that in 2013 (47.2%). In 2019, the second-hand smoke (SHS) exposure rate at home, in both indoor and outdoor public places and on public transportations was 72.5%, which was slightly lower than the level in 2013 (73.0%), the differences were all significant (P<0.05). In 2019, the students seeing close friend smoking (OR=27.381, 95%CI: 12.037-62.287), seeing someone smoking in school (OR=2.477, 95%CI: 1.155-5.312), believing that SHS may not be harmful (OR=8.471, 95%CI: 1.464-49.005) had higher possibility of smoking. Being aged ≥15 years (compared with being aged ≤12 years, OR=8.688, 95%CI: 1.922-39.266), exposure to SHS in outdoor public place (OR=8.608, 95%CI: 1.048-70.692), close friend smoking (OR=8.115, 95%CI: 1.754-37.545) were positively associated with e-cigarettes use, and believing that smoking results in uncomfortable social contact [compared with believing that smoking results in comfortable social contact (OR=0.105,95%CI: 0.018-0.615)] were negatively associated with e-cigarettes use, the difference was significant (P<0.05). Conclusion: The prevalence of tobacco and e-cigarette uses in junior middle school students in Shanghai remained at a low level in recent years. The SHS exposure rate in junior middle school students is high. Smoking behavior of junior middle school students is closely related to personal attitude and awareness of tobacco, exposure to SHS, peer smoking and the situation of tobacco control in schools. Prevention and intervention should be carried out from multi-dimensions to effectively protect teenagers from tobacco hazards.
Adolescent ; China/epidemiology* ; Electronic Nicotine Delivery Systems ; Humans ; Prevalence ; Students ; Tobacco ; Tobacco Smoke Pollution

OBJECTIVE: To verify the clinical effect of acupuncture on knee osteoarthritis (KOA). METHODS: Forty-two patients with KOA were randomly divided into an acupuncture group (21 cases, 1 case dropped off) and a sham acupuncture group (21 cases, 1 case dropped off). The patients in the acupuncture group were treated with routine acupuncture at 5-6 local acupoints [Dubi (ST 35), Neixiyan (EX-LE 4), Heding (EX-LE 2), Yinlingquan (SP 9), Xuehai (SP 10), Zusanli (ST 36), etc.] and 3-4 distal acupoints [Fengshi (GB 31), Waiqiu (GB 36), Xuanzhong (GB 39), Zulinqi (GB 41), etc.]. The patients in the sham acupuncture group were treated with shallow needling technique at non-acupoint. The needles were retained for 30 min in both groups. All the treatment was given three times a week for 8 weeks. Knee injury and osteoarthritis outcome score (KOOS) were recorded before and after treatment and 18-week follow-up. RESULTS: Compared before treatment, the scores of 5 dimensions of KOOS [pain, symptoms (except pain), daily activities, sports and entertainment, and quality of life] were increased after treatment and during follow-up in the two groups ( CONCLUSION Acupuncture can reduce the pain symptoms and improve daily activities in patients with KOA.
Acupuncture Points ; Acupuncture Therapy ; Humans ; Knee Injuries ; Osteoarthritis, Knee/therapy* ; Quality of Life ; Treatment Outcome

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity