Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To explore the correlation between ASXL1 gene mutation characteristics and clinical manifestations and prognosis in patients with myelodysplastic syndrome(MDS).Methods:The clinical date of 264 patients with MDS in Xuzhou Central Hospital,Southeast University from August 2010 to April 2024 was retrospectively analyzed.The patients were divided into ASXL1wt group and ASXL1mut group according to the presence of ASXL1 gene mutation,and the correlation between gene mutation characteristics and clinical manifestations and prognosis was analyzed.Results:Compared with ASXL1wt group,the ASXL1mut group had a higher age of onset(P＜0.05),a higher proportion of males(P＜0.05),while the incidence of del(5q)was lower(P＜0.01).The mutation frequency of ASXL1 in MDS patients was 21.97％,and most of them were frameshift mutations.The p.Gly646fs was the most common amino acid variant,with a mutation frequency of 20.69％.The median overall survival(OS)and leukemia-free survival of patients with this sequence variant was 18.1 and 23.8 months,respectively,while in those without this sequence variant was 30 months and not reached,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that the mutation of NRAS,WT1,KIT gene and the p.Gly646fs sequence mutation of ASXL1 gene were independent prognostic factors for OS in ASXL1mut patients.The median OS of ASXL1wt and ASXL1mut patients was 27.9(21.3-40.4)and 23.7(18.6-NA)months,respectively(P＞0.05).Among 58 ASXL1mut patients,5 cases(8.6％)transformed to acute leukemia,including 3 cases with RUNX1 mutation and 3 cases with TET2 mutation.Among 206 ASXL1wt patients,28 cases(13.6％)transformed to acute leukemia.The difference in leukemia transformation rate between the two groups was not statistically significant(P＞0.05).The efficacy of different treatment regimens was similar in the ASXL1mut group,while in the ASXL1wt group,patients receiving allogeneic hematopoietic stem cell transplantation had a significantly better prognosis than those receiving other treatment regimens(P＜0.001).The overall response rate to demethylation therapy was 68.7％and 67.6％in ASXL1mut and ASXL1wt group,respectively,and the difference between the two groups was not significant(P＞0.05).Conclusion:The overall survival of MDS patients with ASXL1mut is poor.The patients with p.Gly646fs sequence mutation have a higher proportion of bone marrow blasts and a worse prognosis.There are no statistical differences in efficacy of different treatment strategies in ASXL1mut group.ASXL1 mutation shows no significant effect on the response of MDS to hypomethylating agent therapy.

Objective:To explore the correlation between ASXL1 gene mutation characteristics and clinical manifestations and prognosis in patients with myelodysplastic syndrome(MDS).Methods:The clinical date of 264 patients with MDS in Xuzhou Central Hospital,Southeast University from August 2010 to April 2024 was retrospectively analyzed.The patients were divided into ASXL1wt group and ASXL1mut group according to the presence of ASXL1 gene mutation,and the correlation between gene mutation characteristics and clinical manifestations and prognosis was analyzed.Results:Compared with ASXL1wt group,the ASXL1mut group had a higher age of onset(P＜0.05),a higher proportion of males(P＜0.05),while the incidence of del(5q)was lower(P＜0.01).The mutation frequency of ASXL1 in MDS patients was 21.97％,and most of them were frameshift mutations.The p.Gly646fs was the most common amino acid variant,with a mutation frequency of 20.69％.The median overall survival(OS)and leukemia-free survival of patients with this sequence variant was 18.1 and 23.8 months,respectively,while in those without this sequence variant was 30 months and not reached,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that the mutation of NRAS,WT1,KIT gene and the p.Gly646fs sequence mutation of ASXL1 gene were independent prognostic factors for OS in ASXL1mut patients.The median OS of ASXL1wt and ASXL1mut patients was 27.9(21.3-40.4)and 23.7(18.6-NA)months,respectively(P＞0.05).Among 58 ASXL1mut patients,5 cases(8.6％)transformed to acute leukemia,including 3 cases with RUNX1 mutation and 3 cases with TET2 mutation.Among 206 ASXL1wt patients,28 cases(13.6％)transformed to acute leukemia.The difference in leukemia transformation rate between the two groups was not statistically significant(P＞0.05).The efficacy of different treatment regimens was similar in the ASXL1mut group,while in the ASXL1wt group,patients receiving allogeneic hematopoietic stem cell transplantation had a significantly better prognosis than those receiving other treatment regimens(P＜0.001).The overall response rate to demethylation therapy was 68.7％and 67.6％in ASXL1mut and ASXL1wt group,respectively,and the difference between the two groups was not significant(P＞0.05).Conclusion:The overall survival of MDS patients with ASXL1mut is poor.The patients with p.Gly646fs sequence mutation have a higher proportion of bone marrow blasts and a worse prognosis.There are no statistical differences in efficacy of different treatment strategies in ASXL1mut group.ASXL1 mutation shows no significant effect on the response of MDS to hypomethylating agent therapy.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective: To investigate the current situation and related factors of antiretroviral therapy (ART) among HIV infected male students engaging in men who have sex with men (MSM), so as to provide the reference data for HIV prevention and treatment. Methods: In November 2021, 137 MSM students from 31 provincial administrative regions in China were recruited. An online survey was conducted to collect data on demographic characteristics, ART status, CD4 count, and HIV viral load before treatment. Logistic regression was used to analyze the factors related the effectiveness of ART in MSM. Results: Among the included research subjects, 14.6% had late detection of HIV,97.1% of participants were currently undergoing ART. Among those whose ART duration was less than 6 months, while 76.9% were undergoing ART. Logistic regression indicated that HIV infected students who received ART for more than 24 months ( OR =5.28, 95% CI =1.38-20.22) had a higher rate of successful HIV suppression. HIV infected students who reported physical sensory side effects ( OR =0.08, 95% CI =0.01-0.71) and cognitive side effects ( OR =0.28, 95% CI =0.09-0.90) were more likely to experience failure of ARI inhibition ( P <0.05). Conclusions There is still room for improvement in the efficacy of ART among MSM students. Strategies to improve treatment adherence must consider individual variances among HIV infected patients and the side effects of medications when designing treatment plans.

AIM To evaluate the quality of Yanyangke Mixture.METHODS The HPLC fingerprints were established,after which cluster analysis,principal component analysis and partial least squares discriminant analysis were performed.The contents of liquiritin,rosmarinic acid,sheganoside,irisgenin,honokiol,monoammonium glycyrrhizinate,irisflorentin,isoliquiritin and magnolol were determined,the analysis was performed on a 35 ℃ thermostatic Agilent ZORBAX SB-C18 column(5 μm,250 mmx4.6 mm),with the mobile phase comprising of 0.1％phosphoric acid-acetonitrile flowing at 1 mL/min in a gradient elution manner,and multi-wavelength detection was adopted.RESULTS There were ten common peaks in the fingerprints for twelve batches of samples with the similarities of more than 0.9.Various batches of samples were clustered into three types,three principal components displayed the acumulative variance contribution rate of 87.448％,peaks 5、14(honokiol),3(liquiritin),11(monoammonium glycyrrhizinate)and 15(asarinin)were quality markers.Nine constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.5％-103.6％with the RSDs of 0.92％-1.7％.CONCLUSION This stable and reliable method can provide a basis for the quality control of Yanyangke Mixture.

italic>Ardisia crispa (Thunb.) A. DC. is a traditional Miao medicinal herb with significant therapeutic effects in the treatment of sore throat, tonsillitis, edema of nephritis and bruising and rheumatism, etc. Ardisia crispa var. amplifolia and Ardisia crispa var. dielsii are varieties of A. crispa. A. crispa var. amplifolia and A. crispa var. dielsii are controversial in terms of species evolutionary relationships and taxonomic identification. In this study, we sequenced the whole genome sequences of A. crispa var. amplifolia and A. crispa var. dielsii chloroplasts using Illumina platform, assembled, annotated and characterized them, compared the structural features and degree of variation among chloroplast genomes using bioinformatics methods, and also downloaded constructing phylogenetic trees to analyze the phylogenetic relationships of chloroplasts in Primulaceae and Myrsinaceae using whole genome sequence information. The results showed that the complete chloroplast genome sequences of A. crispa var. amplifolia and A. crispa var. dielsii were 156 749 bp and 156 748 bp in length, with 132 genes annotated, including 87 protein-coding genes; the codon preference of A/U was greater than that of G/C; The differences in the coding regions of rps15 and rpoB genes in the comparative genome analysis can be used as loci for molecular identification of the two species; the differences in the coding regions of ycf1, ycf2, rpoC1, ycf3, petD and rpl16 genes in the chloroplast genome compared with those of the same genus can be used as loci for identification of the genus. In the phylogenetic results, A. crispa var. amplifolia and A. crispa var. dielsii were clustered together with 100% support, indicating that they are closely related. In this research, we analyzed the chloroplast genome structure and phylogenetic relationships of A. crispa var. amplifolia and A. crispa var. dielsii, providing an important theoretical basis for their molecular identification, genetic variation, breeding and phylogenetic analysis.

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

OBJECTIVE: To observe the clinical characteristics, treatment and prognosis of intestinal acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in children and futher evaluate the occurring risk factors. METHODS: The clinical data of 136 patients undergoing allo-HSCT in Wuhan Children's Hospital Affiliated to Tongji Medical College from August 2016 to August 2020 were retrospectively analyzed, clinical characteristics of children with intestinal aGVHD were observed. The risk factors of intestinal aGVHD were assessed by logistic regression while cumulative survival were analyzed by Kaplan-Meier method. RESULTS: Among 136 patients intestinal aGVHD occurred in 24 (17.6%) cases, with 4 cases of grade II, 20 cases of grade III-IV, and the median occurrence time was 28(10-63) days. The clinical manifestations were diarrhea with intermittent abdominal pain, 17 cases with nausea and vomiting, 11 cases with fresh bloody stool, and 8 cases with skin rash before intestinal aGVHD. The average time for treatment was 33(11-100) days. 18 cases received electronic colonoscopy and histopathology examination. 20 out of 24 cases achieved remission after treatment, and the total effective rate was 83.3%. Finally, 9 out of 24 cases died during the follow-up time. Survival analysis showed that the cumulative survival rate of patients with intestinal aGVHD (15/24, 62.5%) were significantly lower than those without intestinal aGVHD (101/112, 90.2%) (Log-rank test, P=0.001). Univariate analysis showed that recipient age, sex, primary disease, donor age, donor sex, donor-recipient blood type, conditioning regimen, prophylaxis of GVHD, dosage of ATG, engraft time of blood platelet and neutrophils, and number of MNC/CD34+ were not risk factors for intestinal aGVHD (P>0.05). Only the type of HSCT (χ2=16.020, P=0.001) and matched degree of HLA (χ2=15.502, P=0.001) had statistical significance with intestinal aGVHD (P<0.05). Multivariate analysis showed that only HLA-mismatched unrelated donor was the risk factor for intestinal aGVHD for children (P=0.014，OR=16，95%CI 1.735-147.543). CONCLUSION Intestinal aGVHD is a risk factor for cumulative survial of patients who received allo-HSCT in children and HLA-mismatched unrelated donor is its independent risk factor.
Acute Disease ; Child ; Graft vs Host Disease/prevention & control* ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Humans ; Retrospective Studies ; Risk Factors ; Tissue Donors

OBJECTIVE: To compare accuracy of anterior cervical pedicle screws between assist of rapid prototyping 3D guide plate and free-hand insertion, and evaluate the safety of two methods. METHODS: Eight adult cervical cadaver specimens after formaldehyde immersion, including 4 males and 4 females, aged 32 to 65(40.3±5.6) years old. After X-ray examination to exclude bone damage and deformity, 4 of them (3D guide plate group) randomly selected were for CT scan to obtain DICOM format data, and the data was imported into Mimics software for model, designed the ideal entry point and nail path for anterior cervicaltranspedicular screw (ATPS). After obtaining the personalized guide plate of the nail channel, it was exported as STL data, and the individual guide plate was printed by rapid prototyping and 3D printing technology. In turn, with the assistance of 3D guide plates, one-to-one personalized ATPS screws were placed on the four lower cervical cadaver specimens. Another 4 (free-hand group) lower cervical cadaver specimens were implanted with ATPS screws using free-hand technique. All specimens were performed CT thin-layer scanning and three-dimensional reconstruction after operation. The Tomasino method was used to evaluate the safety of the screws on the CT cross-sectional and sagittal images, to determine whether there was a cortical puncture of the lower and inner edges of the pedicle. According to the CT rating results, gradeⅠandⅡwere safe, and grade Ⅲ- Ⅴ were dangerous.And the accuracy of screws was recorded and analyzed between two groups. RESULTS: Two screws were inserted in each segment from C CONCLUSION The 3D printing rapid prototyping guide plate assisted insertion of the anterior cervical pedicle screw can significantly improve the accuracy and safety, and provide a theoretical basis for further clinical application.
Adult ; Aged ; Bone Plates ; Cervical Vertebrae/surgery* ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Pedicle Screws ; Printing, Three-Dimensional