Objective:To explore the prognostic value of serum free light chain in chronic lymphocytic leukemia patients.Methods:Retrospective cohort study was conducted. One hundred and fifty-six newly diagnosed chronic lymphocytic leukemia(CLL) patients in the first affiliated hospital of Nanjing Medical University from January 2016 to December 2020 were included in the retrospective analysis. Among them, there were 106 males and 50 females, with a median age of 60.7 (53.4, 66.0) years old.Serum sample was collected, serum free light chains were detected, and patients were divided into a treatment group (106 cases) and a follow-up group (50 cases) based on the presence of treatment indications.The threshold of serum free light chain(sFLC) was defined by the reference range of the instruction manual and ROC curve. Three indicators were used, including sFLCR, sFLC(κ+λ) and sFLC(κ-λ). Patients were divided into normal sFLCR group ( n=61)and abnormal group( n=95), as well as sFLC (κ+λ) low value group ( n=88) and high value group ( n=68), and sFLC (κ-λ) low value group ( n=64) and high value group ( n=92).The abnormal group and high value group were enrolled as the experimental group, while the normal group and low value group were enrolled as control group. Chi-square test and Fisher′s exact test were used to compare the clinical data, cytogenetics, and molecular biology characteristics of patients in two groups, Kaplan-Meier method was used to analyze the median treatment-free survival (TFS) of the patients, and Cox regression was used to screen the prognostic factors of the patients. Results:The proportion of Rai stage Ⅰ-Ⅳ ( χ2=8.16, P<0.05 and χ2=7.63, P<0.05 and χ2=5.45, P<0.05), Binet stage B-C( χ2=4.11, P<0.05 and χ2=9.43, P<0.05 and χ2=7.34, P<0.05), β 2-microglobulin>3.5 mg/L( χ2=5.13, P<0.05 and χ2=18.3, P<0.05 and χ2=12, P<0.05), ATM gene mutation rate( χ2=6.21, P<0.05 and χ2=4.88, P<0.05 and χ2=5.19, P<0.05), and immunoglobulin heavy chain variable region (IGHV) mutation free rate ( χ2=18.9, P<0.05 and χ2=24.6, P<0.05 and χ2=10.4, P<0.05)in the experimental group were significantly higher than that in control group 1 ( P<0.05). Multivariate analysis indicated that sFLC(κ+λ) ( HR=1.615,95% CI 1.012-2.576, P=0.044), β 2-microglobulin>3.5 mg/L( HR=2.103,95% CI 1.356-3.262, P=0.001) and TP53 deletion and/or mutation( HR=1.892,95% CI 1.082-3.308, P=0.025) were independent prognostic factors affecting the patients time to first treatment(TFT). Conclusions:Serum free light chains can predict the risk of early treatment and have good prognostic significance in newly diagnosed CLL patients.

Objective:To elucidate the genomic characteristics of the immunoglobulin (IG) heavy-chain variable region and light-chain variable region, the expression of subclones, and the prognostic significance in patients with CLL.Methods:Blood and/or bone marrow specimens were gathered from a cohort of 36 patients with CLL diagnosed at Jiangsu Province Hospital from December 2018 to May 2023, including 12 cases of B cell receptor (BCR) stereotyped patients. IG heavy-chain (IGH) and light-chain (IG Kappa [IGK] and IG lambda [IGL]) gene rearrangements were performed using next-generation sequencing (NGS) technology to analyze the characteristics and prognostic value in CLL.Results:NGS detection of IG variable region (IGHV) demonstrated a significant correlation and superior consistency with Sanger sequencing ( r=0.957, P < 0.001). Among the 36 patients, the IGH variant (IGHV) was observed in 9 (25.0%) but not in 27 (75.0%) participants. The incidence of the MYD88 mutation was higher among patients with mutated IGHV [1/27 (3.7%) vs 4/9 (44.4%), P=0.00]. A high incidence of trisomy 12 was observed in the IGHV #8/#8B subset [4/11 (36.4%) vs 1/25 (4.0%), P=0.023], which were more likely to develop Richter transformation [8/11 (72.7%) vs 4/25 (16.0%), P=0.002]. In the patient cohort, 36 individuals (36/36, 100.0%) used the IGK variable, whereas 15 individuals (15/36, 41.7%) employed the IGL variable (IGLV). IGLV3 - 21 reported the highest utilization rate in IGLV (5/15, 33.3%). Remarkably, patients with CLL with IGLV3-21 fragments were exclusively observed in the Binet C stage and Rai Phase Ⅲ-Ⅳ, with an incidence of del (13) (q14) at 60.0% (3/5). The median time to first treatment (TTFT) of patients with or without IGLV3 - 21 fragments was 5.2 (1.1 - 41.5) and 9.9 (0.1 - 94.4) months, respectively. Using the total reads threshold of 2.5%, 4 (4/36, 11.1%) samples were detected to have two IGHV productive clones. The median TTFT and overall survival (OS) time were 2.8 (0.9-72.7) and 12.8 months in patients with one mutated clone and 57.5 (32.0-120.7) and 51.8 months in those with two mutated clones, respectively. The median TTFT and OS time were 10.9 (0.3-94.4) and 6.3 (0.1 - 12.5) months in patients with one unmutated clone and 49.9 (22.2 - 211.1) and 30.0 (9.6 - 50.3) months in those with multiple unmutated clones, respectively ( P>0.05) . Conclusions:Detection of IG gene rearrangements using NGS technology not only facilitates the analysis of the IGHV mutation status, dominant clones, and prognostic value but also contributes to the exploration of IGK/IGL gene rearrangement fragments and the utilization of subclones. Further, it provides information about the poor prognosis of IGLV3 - 21 CLL. The shortened survival of the two unmutated clone groups in the IGHV unmutated group may indicate a poor prognosis.

Objective:To understand nurses' experiences providing discharge preparation services for elderly patients with multiple chronic diseases and offer references for developing intervention strategies for discharge preparation services for these patients.Methods:A purposive sampling method was used to select 24 nurses from the cardiovascular departments, geriatrics wards, and other internal medicine departments of three Grade A tertiary hospitals, four Grade B hospitals, and one community health service center in Guilin City between March and April 2024. An interview outline was developed based on the social-ecological system theory, and semi-structured interviews were conducted to collect data. A directed content analysis method was used to analyze the data.Results:A total of three themes were identified: micro-level (nurses have a positive attitude but face shortcomings in age-appropriate discharge preparation services), meso-level (team collaboration mechanisms are weak), and macro-level (there is a desire to link social resources) .Conclusions:Nurses' discharge preparation services for elderly patients with multiple chronic diseases are inadequate. It is recommended to enhance nurses' discharge preparation skills through core competency-based training, improve the development of innovative healthcare platforms, and promote establishing of a multi-dimensional social care support system to improve the quality of discharge preparation services for elderly patients with multiple chronic diseases.

Objective:To understand nurses' experiences providing discharge preparation services for elderly patients with multiple chronic diseases and offer references for developing intervention strategies for discharge preparation services for these patients.Methods:A purposive sampling method was used to select 24 nurses from the cardiovascular departments, geriatrics wards, and other internal medicine departments of three Grade A tertiary hospitals, four Grade B hospitals, and one community health service center in Guilin City between March and April 2024. An interview outline was developed based on the social-ecological system theory, and semi-structured interviews were conducted to collect data. A directed content analysis method was used to analyze the data.Results:A total of three themes were identified: micro-level (nurses have a positive attitude but face shortcomings in age-appropriate discharge preparation services), meso-level (team collaboration mechanisms are weak), and macro-level (there is a desire to link social resources) .Conclusions:Nurses' discharge preparation services for elderly patients with multiple chronic diseases are inadequate. It is recommended to enhance nurses' discharge preparation skills through core competency-based training, improve the development of innovative healthcare platforms, and promote establishing of a multi-dimensional social care support system to improve the quality of discharge preparation services for elderly patients with multiple chronic diseases.

Objective:To elucidate the genomic characteristics of the immunoglobulin (IG) heavy-chain variable region and light-chain variable region, the expression of subclones, and the prognostic significance in patients with CLL.Methods:Blood and/or bone marrow specimens were gathered from a cohort of 36 patients with CLL diagnosed at Jiangsu Province Hospital from December 2018 to May 2023, including 12 cases of B cell receptor (BCR) stereotyped patients. IG heavy-chain (IGH) and light-chain (IG Kappa [IGK] and IG lambda [IGL]) gene rearrangements were performed using next-generation sequencing (NGS) technology to analyze the characteristics and prognostic value in CLL.Results:NGS detection of IG variable region (IGHV) demonstrated a significant correlation and superior consistency with Sanger sequencing ( r=0.957, P < 0.001). Among the 36 patients, the IGH variant (IGHV) was observed in 9 (25.0%) but not in 27 (75.0%) participants. The incidence of the MYD88 mutation was higher among patients with mutated IGHV [1/27 (3.7%) vs 4/9 (44.4%), P=0.00]. A high incidence of trisomy 12 was observed in the IGHV #8/#8B subset [4/11 (36.4%) vs 1/25 (4.0%), P=0.023], which were more likely to develop Richter transformation [8/11 (72.7%) vs 4/25 (16.0%), P=0.002]. In the patient cohort, 36 individuals (36/36, 100.0%) used the IGK variable, whereas 15 individuals (15/36, 41.7%) employed the IGL variable (IGLV). IGLV3 - 21 reported the highest utilization rate in IGLV (5/15, 33.3%). Remarkably, patients with CLL with IGLV3-21 fragments were exclusively observed in the Binet C stage and Rai Phase Ⅲ-Ⅳ, with an incidence of del (13) (q14) at 60.0% (3/5). The median time to first treatment (TTFT) of patients with or without IGLV3 - 21 fragments was 5.2 (1.1 - 41.5) and 9.9 (0.1 - 94.4) months, respectively. Using the total reads threshold of 2.5%, 4 (4/36, 11.1%) samples were detected to have two IGHV productive clones. The median TTFT and overall survival (OS) time were 2.8 (0.9-72.7) and 12.8 months in patients with one mutated clone and 57.5 (32.0-120.7) and 51.8 months in those with two mutated clones, respectively. The median TTFT and OS time were 10.9 (0.3-94.4) and 6.3 (0.1 - 12.5) months in patients with one unmutated clone and 49.9 (22.2 - 211.1) and 30.0 (9.6 - 50.3) months in those with multiple unmutated clones, respectively ( P>0.05) . Conclusions:Detection of IG gene rearrangements using NGS technology not only facilitates the analysis of the IGHV mutation status, dominant clones, and prognostic value but also contributes to the exploration of IGK/IGL gene rearrangement fragments and the utilization of subclones. Further, it provides information about the poor prognosis of IGLV3 - 21 CLL. The shortened survival of the two unmutated clone groups in the IGHV unmutated group may indicate a poor prognosis.

Objective:To explore the prognostic value of serum free light chain in chronic lymphocytic leukemia patients.Methods:Retrospective cohort study was conducted. One hundred and fifty-six newly diagnosed chronic lymphocytic leukemia(CLL) patients in the first affiliated hospital of Nanjing Medical University from January 2016 to December 2020 were included in the retrospective analysis. Among them, there were 106 males and 50 females, with a median age of 60.7 (53.4, 66.0) years old.Serum sample was collected, serum free light chains were detected, and patients were divided into a treatment group (106 cases) and a follow-up group (50 cases) based on the presence of treatment indications.The threshold of serum free light chain(sFLC) was defined by the reference range of the instruction manual and ROC curve. Three indicators were used, including sFLCR, sFLC(κ+λ) and sFLC(κ-λ). Patients were divided into normal sFLCR group ( n=61)and abnormal group( n=95), as well as sFLC (κ+λ) low value group ( n=88) and high value group ( n=68), and sFLC (κ-λ) low value group ( n=64) and high value group ( n=92).The abnormal group and high value group were enrolled as the experimental group, while the normal group and low value group were enrolled as control group. Chi-square test and Fisher′s exact test were used to compare the clinical data, cytogenetics, and molecular biology characteristics of patients in two groups, Kaplan-Meier method was used to analyze the median treatment-free survival (TFS) of the patients, and Cox regression was used to screen the prognostic factors of the patients. Results:The proportion of Rai stage Ⅰ-Ⅳ ( χ2=8.16, P<0.05 and χ2=7.63, P<0.05 and χ2=5.45, P<0.05), Binet stage B-C( χ2=4.11, P<0.05 and χ2=9.43, P<0.05 and χ2=7.34, P<0.05), β 2-microglobulin>3.5 mg/L( χ2=5.13, P<0.05 and χ2=18.3, P<0.05 and χ2=12, P<0.05), ATM gene mutation rate( χ2=6.21, P<0.05 and χ2=4.88, P<0.05 and χ2=5.19, P<0.05), and immunoglobulin heavy chain variable region (IGHV) mutation free rate ( χ2=18.9, P<0.05 and χ2=24.6, P<0.05 and χ2=10.4, P<0.05)in the experimental group were significantly higher than that in control group 1 ( P<0.05). Multivariate analysis indicated that sFLC(κ+λ) ( HR=1.615,95% CI 1.012-2.576, P=0.044), β 2-microglobulin>3.5 mg/L( HR=2.103,95% CI 1.356-3.262, P=0.001) and TP53 deletion and/or mutation( HR=1.892,95% CI 1.082-3.308, P=0.025) were independent prognostic factors affecting the patients time to first treatment(TFT). Conclusions:Serum free light chains can predict the risk of early treatment and have good prognostic significance in newly diagnosed CLL patients.

Objective To investigate the value of histone deacetylase 3(HDAC3)in evaluating the risk of slow/no reflow in AMI patients after PCI.Methods A total of 280 AMI patients undergo-ing PCI in our hospital from June 2020 to June 2022 were recruited,and according to TIMI blood flow grading,they were divided into slow/no reflow group(TIMI≤grade 11,n=54)and normal flow group(TIMI＞grade Ⅱ,n=226).The demographic characteristics,underlying diseases,baseline data at admission,and preoperative results of coronary angiography and laboratory tests were compared between the two groups.Multivariate logistic regression analysis was used to determine the influencing factors for slow/no reflow in AMI patients after PCI,and ROC curve was drawn to analyze the predictive value of related indicators for slow/no reflow.Results Obvi-ously larger proportions of smoking history and Killip grade Ⅱ,higher heart rate,longer reperfu-sion time,and higher serum levels of LDL-C,NLR,D-D and HDAC3 were observed in the slow/no reflow group than the normal flow group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that reperfusion time,NLR and HDAC3 were influencing factors for slow/no reflow in AMI patients after PCI(P＜0.05,P＜0.01).The AUC value of reperfusion time+NLR in predicting the slow/no reflow after PCI in AMI patients was 0.798(95％CI:0.664-0.922,P=0.002),with a sensitivity and specificity of 0.87 and 0.73,respectively.And when serum HDAC3 level was combined in the prediction,the AUC value was 0.903(95％CI:0.790-0.922,P＜0.01),with a sensitivity and specificity of 0.93 and 0.84,respectively.Conclusion Preoperative HDAC3 level is an influencing factor for slow/no reflow in AMI patients after PCI.Based on reperfusion time and NLR,combination of the 3 indicators can provide additional predictive value for slow/no reflow in these patients.

Skin modeling of transdermal drug delivery system refers to experimental models that mimic the structure and function of human skin to explore and evaluate absorption,penetration,and efficacy of medicines in transdermal drug delivery.It provides an alternative to traditional human skin experiments and reduces the use of human skin in medical research,which is convenient,controllable,and cost effective.For skin models of transdermal drug delivery systems,this article introduces commonly used animal skin models,artificial skin models,and recombinant human skin models from the perspective of the transdermal absorption pathway of medicines,and analyzes their advantages,disadvantages,and applications so provide references the research and development of transdermal formulations and topical therapies.

Objective:To explore the risk factors of neck work-related musculoskeletal disorders (WMSDs) among automobile manufacturing enterprise workers, and construct the risk prediction model.Methods:In May 2022, a cluster convenience sampling method was used to selet all front-line workers from an automobile manufacturing factory in Xiangyang City as the research objects. And a questionnaire survey was conducted using the modified Musculoskeletal Disorders Questionnaire to analyze the occurrence and exposure to risk factors of neck WMSDs. Logistic regression was used to analyze the influencing factors of workers' neck WMSDs symptoms, and Nomogram column charts was used to construct the risk prediction model. The accuracy of the model was evaluated by the receiver operating characteristic (ROC) curve, the Bootstrap resampling method was used to verify the model, Hosmer-Lemeshow goodness of fit test was used to evaluate the model, and the Calibration curve was drawn.Results:A total of 1783 workers were surveyed, and the incidence of neck WMSDs symptoms was 24.8% (442/1783). Univariate logistic regression showed that age, female, smoking, working in uncomfortable postures, repetitive head movement, feeling constantly stressed at work, and completing conflicting tasks in work could increase the risk of neck WMSDs symptoms in automobile manufacturing enterprise workers ( OR=1.37, 95% CI: 1.16-1.62; OR=2.85, 95% CI: 1.56-5.20; OR=1.50, 95% CI: 1.18-1.91; OR=1.18, 95% CI: 1.02-1.37; OR=1.34, 95% CI: 1.04-1.72; OR=1.62, 95% CI: 1.21-2.17; OR=1.48, 95% CI: 1.13-1.92; P<0.05). While adequate rest time could reduce the risk of neck WMSDs symptoms ( OR=0.56, 95% CI: 0.52-0.86, P<0.05). The risk prediction model of neck WMSDs of workers in automobile manutacturing factory had good prediction efficiency, and the area under the ROC curve was 0.72 (95% CI: 0.70-0.75, P<0.001) . Conclusion:The occurrence of neck WMSDs symptoms of workers in automobile manufacturing factory is relatively high. The risk prediction model constructed in this study can play a certain auxiliary role in predicting neck WMSDs symptoms of workers in automobile manufacturing enterprise workers.

Objective:To investigate the detection status and genotypes distribution characteristics of norovirus(NoV)in environmental sewage from three monitoring points in Fujian province, and to explore the significance of its application to NoV monitoring.Methods:Sewage samples were collected monthly at 5 sampling sites in representative monitoring cities, enriched and concentrated. Partial gene fragments of norovirus VP1 were amplified by reverse transcription-semi nested polymerase chain reaction (RT-snPCR), TA cloned and sequenced. Genotypes were identified based on the sequencing.Results:A total of 56 sewage samples were collected from July 2022 to June 2023. The detection rates of GⅠ and GⅡ were 89.29% (50/56) and 94.64% (53/56), respectively. A total of 7 NoV GⅠ genotypes and 13 GⅡgenotypes were identified. GⅠ.1, GⅠ.4, GⅡ.4 and GⅡ.17 were the dominant genotypes. NoV genotypes detected in different sampling sites were not exactly the same. The detection rate of NoV was low from August to November 2022, and the prevalence of the dominant genotypes was different in different seasons. GⅠ.1 and GⅡ.4 were highly prevalent from August to November 2022, but were replaced by GⅠ.4 and GⅡ.17 from December 2022 to June 2023, respectively. More NoV genotypes were detected in January-June 2023, comparing to the July-December 2022. The dominant genotype GII.17, has multiple clades and new variants have been discovered that are different from the 2014/2015 circulating strains.Conclusions:The detection rates of NoV in environmental sewage were very high, and genotypes were diverse. Environmental sewage surveillance could be an important complementary method for NoV cases surveillance.