Objective: To establish evidence-based, safe and efficient management of HIV-reactive blood donors by investigating safe and feasible assessment strategies for HIV-reactive blood donors based on routine blood screening data. Methods: The data of blood screening, supplementary testing, follow-up and CDC confirmation for HIV-reactive blood donors in our center from 2014 to 2024 were analyzed systematically to confirm HIV infection and identify infection status. Results: There were 1 235 samples (0.13%, 1 235/928 000) reactive in HIV blood screening over the 11-year period. A-mong them, 199 donors (16.11%) in asymptomatic HIV infection (HIV Ag/Ab++&HIV RNA+), 2(0.16%) as acute early HIV infection (HIV Ag/Ab+-&HIV RNA+) and 7(0.57%) as window-period infection (HIV RNA positive only) were confirmed. Donors with the result of HIV Ag/Ab+-&HIV RNA-(single-positive) were all excluded for HIV infection, while 1 in 6 HIV Ag/Ab++&HIV RNA-donors (double-positive) was confirmed to have HIV infection. When HIV Ag/Ab reagents were used continuously before and after the follow-up, it's observed in one reagent that the proportion of negative results in subsequent follow-up in single-positive donors who had negative results in the first sampling was significantly higher than the proportion of negative results in subsequent follow-up in those initially single-positive (P<0.05). But no significant difference was observed in another reagent (P>0.05). When reagents were changed in follow-up, the rate of singlepositive donors with negative results in the first sampling reached 96.7%, which was significantly higher than the negative rate of those without reagent changing in follow-up (P<0.05). Conclusion: Based on the serological and nucleic acid testing results of HIV blood screening, the confirmation of HIV infection and identification of infection status can be achieved accurately and efficiently. All HIV Ag/Ab+-&HIV RNA-donors were confirmed as false positive, and should be maintained their eligibilities for blood donation, but recommended to pass the retest before next donation. Using a different reagent for retesting helps improve the eligible rate. HIV Ag/Ab++&HIV RNA-donors should be deferred permanently due to the risk of true positivity.

Objective: To explore the management of blood donors tested reactive to HCV in blood screening based on confirmation of HCV infection. Methods: Multiple HCV antibody assays, repeating HCV RNA testing, follow-up of blood donors and retesting of archive samples were performed to confirm HCV infection, identify infection status, and exclude false positives in blood donors reactive to HCV in blood screening. Results: From 2011 to 2024, the unqualified rate of HCV detection in blood screening was 2.45‰(2 751/1 122 026). Among these, anti-HCV+-&NAT-accounted for 1.85‰, followed by anti-HCV++ at 0.60‰. The proportion of anti-HCV+-&NAT-and HCV RNA yields was extremely low (0.007‰). The positive rate of anti-HCV+-&NAT-samples tested by electrochemiluminescence method (ELCIA) was approximately 7.5%, differing among reagents (P<0.05). The follow-up of anti-HCV+-&NAT-donors showed that 96.2% (202/210) were false positives, but 51.4% of donors remained anti-HCV+-&NAT-during follow-up. Among them, 8 donors (3.8%) could not be ruled out from HCV infection due to positive retesting by ELCIA. Of the anti-HCV+-&NAT-donors who were reactive at the first follow-up, 86.8% remained anti-HCV+-&NAT-at the second follow-up. The sampling confirmation data showed that all of 260 anti-HCV++ donors were confirmed as anti-HCV positive, and the proportion of false positives or missed detections by NAT was very low. Two occult HBV infections (OBIs) and one HBsAg carrier were identified among the 3 anti-HCV +-&NAT+ donors, and no HCV infection was confirmed in 5 anti-HCV--&HCV RNA + donors. Conclusion: The prevalence of HCV among blood donors in Dalian was about 0.06%, with extremely low proportion of window-period infection and slightly higher proportion of resolved infections than that of current infections. The majority of anti-HCV+-&NAT-were false positive. Blood donors confirmed as false positive should be qualified in blood screening 3 months later before next donation. In order to reduce the false positive results, it was advisable to avoid the same type of supplementary reagents as the initial reagents when performing confirmation.

Objective: To evaluate repeated testing on blood screening platforms in confirmation of non-discriminatory reactive (NDR) samples in nucleic acid testing (NAT). Methods: A total of 102 HBsAg-negative/NAT NDR samples were collected from voluntary blood donors at Dalian Blood Center between January 2021 and December 2023. Repeated testing was performed using two NAT platforms (Cobas s201 and Panther). For the first round of repeated testing, all samples were tested 12 times on each system; for the second round, the samples which were non-reactive or only reactive once in the first round were tested an additional 8 times. Anti-HBc and anti-HBs was detected using electrochemiluminescence assay (ECA). Meanwhile, blood donors were followed up. Results: The proportion of anti-HBc+ in 102 NDR samples was 88.2%. Forty-one samples (40.2%, 41/102) and 7 samples were confirmed HBV DNA+ in first-round and second-round repeated testing, respectively. The cumulative confirmation rate of HBV DNA+ was 47.1% (48/102) after repeated testing. Extra five blood donors detected HBV DNA+ in follow-up were identified as anti-HBc+ occult hepatitis B virus infection (OBI), while no window period infection was observed. Ultimately, there were 53 HBV infected donors confirmed, 46 HBV infection-unconfirmed, and 3 HBV uninfected. No significant difference was observed between the confirmation rate of the first-round testing and the cumulative confirmation rate after the second-round testing (P>0.05). The proportion of anti-HBc+ donors was quite high in both HBV infection-confirmed (98.1%) and unconfirmed group (82.6%), and donors with seronegative and anti-HBs-only occupied a high proportion in the latter (P<0.05). Conclusion: Numerous repeated testing of NDR samples using NAT platforms cannot achieve complete confirmation of HBV infection. Supplementary anti-HBc testing can minimize potential OBI risk among NDR donors, and is low-cost and efficient.

Objective: To investigate the impact of current laboratory testing models and screening strategies on blood safety by analyzing repeat nucleic acid testing (NAT) results obtained from blood donors who had dual-reactive enzyme-linked immunosorbent assay (ELISA) results but were initially nonreactive by NAT. Methods: Samples from blood donors with dual-reactive ELISA results and initially nonreactive NAT results collected at Dalian Blood Center from 2017 to 2025 were included. Repeated testing was performed using two NAT systems: transcription-mediated amplification (TMA) and polymerase chain reaction (PCR). The results were analyzed in terms of the frequency of reactive NAT results and the testing strategies, including minipool and individual donation testing. Results: A total of 199 samples with dual-reactive ELISA results and initially nonreactive NAT results were included，comprising 66 HBsAg-reactive samples，130 anti-HCV-reactive samples，and 3 HIV Ag/Ab-reactive samples. Among the HBsAg-reactive samples，57（57/66，86.4%）showed at least one reactive NAT result upon repeated testing，and 49 showed two or more repeat reactive results. Anti-HBc was reactive in 64 samples（64/66，97.0%）and nonreactive in 2 samples（2/66，3.0%）；both anti-HBc-nonreactive samples remained nonreactive in repeated NAT. No stable repeat nucleic acid reactivity was observed in anti-HCV- or HIV Ag/Abreactive samples. The TMA system detected 50 reactive samples（50/66，75.8%）through three combined assays plus one discriminatory assay, whereas the PCR system detected 51 reactive samples (51/66, 77.3%) through four rounds of individual-donation testing. Fortyfour samples were reactive on both systems, 6 were reactive only on the TMA system, and 7 were reactive only on the PCR system. Conclusion: Among blood donors with dual-reactive ELISA results and initially non-reactive NAT results, HBsAg-reactive samples contain a high proportion of low viral load HBV-related cases, with intermittent and probabilistic nucleic acid detectability. Both testing frequency and detection strategy significantly affect the detection of low viral load samples. These findings highlight the importance of recognizing the detection characteristics of low viral load HBV-related samples in order to optimize blood screening strategies and improve blood safety.

Objective: To establish quality standards for pooled cryoprecipitate based on measured data, addressing the issues of wide variability in coagulation factor content attributable to individual donor differences and imprecise clinical dosing with single-bag cryoprecipitate. Methods: A total of 120 bags of fresh frozen plasma of different ABO blood groups were enrolled. Single-bag cryoprecipitate was prepared using either the centrifugation method or the siphonage method. For each blood group and each preparation method, every five single units of the same blood group were pooled into one bag of pooled cryoprecipitate. Factor Ⅷ content, fibrinogen content, and volume were measured in source plasma, single-bag cryoprecipitate, and pooled cryoprecipitate. Recovery rates and coefficients of variation were calculated, and the effect of the pooling process on product homogeneity was analyzed. Results: The factor Ⅷ content, fibrinogen content, and volume of pooled cryoprecipitate were significantly higher than those of single-unit cryoprecipitate and were linearly correlated with the number of units pooled. After pooling, the coefficient of variation for factor Ⅷ content decreased from 34.9%-35.2% (single units) to 18.2%-20.7% (pools), and the coefficient of variation for fibrinogen content decreased from 27.0%-28.6% to 13.1%-13.4%. The pooling procedure had no significant effect on the recovery rates of factor Ⅷ or fibrinogen (P>0.05). Conclusion: For pooled cryoprecipitate prepared by pooling five single units, the proposed quality standards are: factor Ⅷ content≥400 IU/bag, fibrinogen content≥750 mg/bag, volume 200-250 mL/bag, and sterility test negative. These standards can provide a basis for large-scale preparation and clinical application of pooled cryoprecipitate.

To analyze all-cause mortality among hepatitis C cases aged ≥18 years in Yuxi City from 2005 to 2023 and explore the interactions of factors influencing survival time. Baseline and follow-up data for hepatitis C cases reported during this period were extracted from the Chinese National Notifiable Disease Reporting System. Survival time and related factors were assessed using the Cox proportional hazards model. Kaplan-Meier cumulative mortality risk curves were generated for treated and untreated hepatitis C cases, and interactions among subgroups of various influencing factors were examined. A total of 5 110 hepatitis C cases aged ≥18 years were reported from 2005 to 2023, encompassing 35 349.25 person-years of observation with the follow-up time duration M ( Q1, Q3) was 6.17 (2.33, 11.08) person-years. There were 763 all-cause deaths, corresponding to a mortality density of 2.16 per 100 person-years. Survival analysis showed a statistically significant difference in cumulative mortality between the treated and untreated groups (Log-rank χ2=122.033, P<0.001), with a lower risk of death observed among treated patients. Additive model analysis showed that there was a synergistic interaction between treatment status and age group, with relative excess of interaction, attributable proportions of interaction, and synergy index of 6.16 (95 %CI: 2.70-9.61), 1.83 (95 %CI: 1.46-2.30), and 0.42 (95 %CI: 0.31-0.53), respectively; and between treatment status and gender. There was a synergistic interaction between treatment status and sex, with relative excess of interaction, attributable proportions of interaction, and synergy index of 2.63 (95 %CI: 1.14-4.13), 1.56 (95 %CI: 1.19-2.06), and 0.32 (95 %CI: 0.17-0.46), respectively. The cause of death composition were 38.53% (249 cases) attributed to hepatitis C-related causes.The leading non-hepatitis C-related causes of death were cardiovascular and cerebrovascular diseases, pulmonary diseases, malignancies, drug overdose, and injuries. In conclusion, hepatitis C cases ≥18 years of age in Yuxi City had a lower cumulative mortality rate when treated than when untreated. Treatment status interacted with age and gender on patient survival, respectively. Changes in patients with concomitant cardiovascular diseases, pulmonary diseases and malignancies should be focused.

Objective:To study the risk factors and the molecular epidemiology characteristics for Carbapenem-resistant Enterobacteriaceae(CRE) colonization in neonatal inpatients in Shenzhen region, China, which provide reference for the prevention and control of clinical CRE infection.Methods:This study is a prospective case-control study.Anal samples from inpatients between January 2023 and December 2023 at Longgang Maternity and Child Institute of Shantou University Medical College and Shenzhen Children's Hospital were collected for screening CRE strain. Drug susceptibility test, modified Carbapenem Inactivation Method (mCIM) test, drug resistance-related gene sequencing and multilocus sequence typing (MLST) were performed for isolated CRE strains.Meanwhile, the clinical data were collected for analyzing the risk factors of CRE intestinal colonization by multivariate regression analysis.Results:A total of 1 517 patients were screened, 26 CRE(1.7%, 26/1 517) were identified which including 14 Escherichia coli(53.8%, 14/26), 11 Klebsiella pneumoniae(42.3%, 11/26), 1 Enterobacter cloacae(3.9%, 1/26). The predominant carbapenemase gene was New Delhi Metallo(NDM) (92.4%, 24/26), followed by Imipenem (IMP) (3.8%, 1/26) and Guiana extended spectrum gene (GES) (3.8%, 1/26).Among the carried NDM resistance genes, New Delhi Metallo 5 (NDM5) was the main one, accounting for 84.6% (22/26).The MLST typing of Escherichia coli was mainly Sequence Type 48 (ST48) (6/14), while that of Klebsiella pneumoniae was mainly Sequence Type 35 (ST35) (10/11). All CRE isolates were resistant to penicillin, penicillinase inhibitors, cephalosporins, ertapenem and imipenem.The resistance rates of Escherichia coli to amikacin, levofloxacin was 1/14, 4/14, respectively. All isolates of Klebsiella pneumoniae were sensitive to amikacin, and the resistance rate to levofloxacin is 1/11. Risk factors for CRE colonization include the older age, length of hospital stay, tracheal intubation, invasive respiration, lumbar puncture, Apgar <7 score, and exposure to antibiotics.Conclusions:NDM5 is the predominant resistant gene in CRE isolated from neonatal patients feces in Shenzhen region.It is necessary to strengthen the screening of CRE colonization in neonate for prevention and control of CRE infection.

OBJECTIVE Analyze the nasal nitric oxide(NNO)of CRS children,and explore the clinical value of NNO in the diagnosis and treatment of CRS in children.METHODS CRS children diagnosed in the outpatient clinic were selected,and were divided into CRS with and without AR according to their allergen results.VAS score and NNO test were performed for them.Healthy children during the same period were selected as the control group.Finally their results were compared and analyzed.RESULTS The NNO of CRS children with and without AR were(193±62)ppb and(138±49)ppb,both lower than the control group's[(243±51)ppb];There were negative correlations between NNO and VAS scores in CRS children without AR before and after treatment;The NNO of CRS children with and without AR were significantly increased after treatment(P<0.05);NNO has high predictive value for diagnosing CRS children without AR(P<0.01).CONCLUSION The levels of NNO in different types of CRS were lower than normal,and CRS children without AR was lower than those with AR.NNO could assist in the diagnosis of CRS,dynamically reflect the severity of nasal inflammation,and help to distinguish the allergic status of CRS.

Objective:To explore the prognostic value of the age-adjusted Charlson comorbidity index (ACCI) in patients with stage IIB cervical squamous cell carcinoma (CSCC) who received radical concurrent chemoradiotherapy (rCCRT).Methods:Clinical data of 115 patients with stage IIB CSCC who underwent rCCRT at the First Affiliated Hospital of Xinxiang Medical University from January 2017 to January 2023 were retrospectively analyzed. Fourteen clinical factors, including ACCI, were assessed. Univariate and multivariate Cox regression analyses were performed to identify the independent prognostic factors for progression-free survival (PFS) and overall survival (OS). The optimal cut-off value for ACCI was determined using the receiver operating characteristic (ROC) curve analysis, and patients were divided into the high ACCI (ACCI > 3) and low ACCI (ACCI ≤ 3) groups. Survival differences between two groups were evaluated using Kaplan-Meier curves and compared by log-rank tests.Results:Multivariate Cox regression analysis revealed that ACCI was an independent prognostic factor for both PFS and OS ( HR=3.405, 95% CI: 1.108-10.467, P=0.032; HR=4.732, 95% CI: 1.363-16.425, P=0.014). Significant differences were observed in PFS and OS between the high and low ACCI groups ( P=0.023 and 0.003, respectively). The median PFS was 44 months in the high ACCI group and 56 months in the low ACCI group. The 2-year and 3-year PFS rates were 81.9% and 80.1% in the high ACCI group, and 94.4% and 94.4% in the low ACCI group, respectively. The median OS was 46 months in the high ACCI group and 56 months in the low ACCI group. The 2-year and 3-year OS rates were 88.3% and 84.7% in the high ACCI group, and 94.4% and 94.4% in the low ACCI group, respectively. Conclusions:For patients with stage IIB CSCC receiving rCCRT, ACCI is an independent and significant prognostic factor, with patients in the high ACCI group exhibiting worse prognosis.

To analyze all-cause mortality among hepatitis C cases aged ≥18 years in Yuxi City from 2005 to 2023 and explore the interactions of factors influencing survival time. Baseline and follow-up data for hepatitis C cases reported during this period were extracted from the Chinese National Notifiable Disease Reporting System. Survival time and related factors were assessed using the Cox proportional hazards model. Kaplan-Meier cumulative mortality risk curves were generated for treated and untreated hepatitis C cases, and interactions among subgroups of various influencing factors were examined. A total of 5 110 hepatitis C cases aged ≥18 years were reported from 2005 to 2023, encompassing 35 349.25 person-years of observation with the follow-up time duration M ( Q1, Q3) was 6.17 (2.33, 11.08) person-years. There were 763 all-cause deaths, corresponding to a mortality density of 2.16 per 100 person-years. Survival analysis showed a statistically significant difference in cumulative mortality between the treated and untreated groups (Log-rank χ2=122.033, P<0.001), with a lower risk of death observed among treated patients. Additive model analysis showed that there was a synergistic interaction between treatment status and age group, with relative excess of interaction, attributable proportions of interaction, and synergy index of 6.16 (95 %CI: 2.70-9.61), 1.83 (95 %CI: 1.46-2.30), and 0.42 (95 %CI: 0.31-0.53), respectively; and between treatment status and gender. There was a synergistic interaction between treatment status and sex, with relative excess of interaction, attributable proportions of interaction, and synergy index of 2.63 (95 %CI: 1.14-4.13), 1.56 (95 %CI: 1.19-2.06), and 0.32 (95 %CI: 0.17-0.46), respectively. The cause of death composition were 38.53% (249 cases) attributed to hepatitis C-related causes.The leading non-hepatitis C-related causes of death were cardiovascular and cerebrovascular diseases, pulmonary diseases, malignancies, drug overdose, and injuries. In conclusion, hepatitis C cases ≥18 years of age in Yuxi City had a lower cumulative mortality rate when treated than when untreated. Treatment status interacted with age and gender on patient survival, respectively. Changes in patients with concomitant cardiovascular diseases, pulmonary diseases and malignancies should be focused.