Objective:To compare the clinical efficacy of Minimally Invasive Surgery (MIS) and traditional Posterior Spinal Fusion (PSF) in treating children with paralytic scoliosis with pelvic obliquity (PSPO) following spinal cord injury.Methods:A retrospective analysis was conducted on the data of 25 patients with PSPO who underwent surgical treatment at the Drum Tower Hospital affiliated with Nanjing University Medical School from January 2017 to June 2023. The cohort included 4 males and 21 females, aged 12.3±2.8 years (range 9-14 years). Patients were divided into the MIS group (12 cases) and the PSF group (13 cases). Radiological parameters were measured preoperatively, postoperatively, and at the last follow-up. Surgical time, intraoperative blood loss, intraoperative blood transfusion volume, length of hospital stay, total hospitalization costs, and complications were recorded. The Scoliosis Research Society questionnaires-22 (SRS-22) Chinese version were used to assess patient satisfaction and efficacy.Results:There were no statistically significant differences between the MIS and PSF groups in age, gender, Risser sign, preoperative Cobb angle for scoliosis, pelvic tilt angle, or local kyphosis angle ( P>0.05). The MIS group demonstrated surgical time of 176±30 minutes, intraoperative blood loss of 300±70 ml, blood transfusion volume of 280±175 ml, and total hospitalization costs of 87'800± 13'300 yuan, all of which were lower than PSF group, with values of 280±91 minutes, 1'433±116 ml, 1'351±996 ml, and 14'8400±26'100 yuan, respectively. These differences were statistically significant ( t=3.789, P=0.001; t=29.328, P<0.001; t=3.667, P=0.001; t=7.271, P<0.001). In the MIS group, preoperative, postoperative, and last follow-up Cobb angles were 79.11°±6.74°, 35.86°±4.98°, and 36.27°±4.84° respectively; pelvic tilt angles were 24.79°±5.58°, 9.18°±3.32°, and 8.79°±2.94°; local kyphosis angles were 38.84°±4.18°, 12.96°±4.87°, and 11.43°±6.08°, respectively. Postoperative and last follow-up angles were significantly reduced compared to preoperative values, with statistically significant differences ( P<0.05). In the PSF group, preoperative, postoperative, and last follow-up Cobb angles were 82.06°±9.26°, 34.75°±5.14°, and 35.15°±5.04° respectively; pelvic tilt angles were 26.60°±6.21°, 10.12°±3.21°, and 9.91°±2.97°; local kyphosis angles were 40.92°±7.04°, 10.92°±7.26°, and 14.02°±5.58°, respectively. Differences from preoperative to postoperative measurements were statistically significant ( P<0.05). At the last follow-up, both groups showed no significant loss of scoliosis correction, and there were no statistically significant differences between the groups postoperatively or at the last follow-up ( P>0.05). In the MIS group, one case of superficial surgical site infection and one case of postoperative atelectasis occurred. In the PSF group, two cases of deep surgical site infection, one case of poor screw placement, and two cases were transferred to the ICU postoperatively due to excessive intraoperative bleeding. Preoperative SRS-22 total scores were 2.0±0.6 for PSF and 2.1±0.4 for MIS. Postoperative SRS-22 total scores (excluding satisfaction) were 3.0±0.5 for PSF and 2.9±0.3 for MIS. The within-group differences from preoperative to postoperative were statistically significant ( P<0.05), while the between-group differences from preoperative to postoperative were not statistically significant ( P>0.05). Conclusion:Compared to the PSF technique, MIS can shorten surgery time, reduce intraoperative blood loss and perioperative complications, and decrease hospitalization costs. MIS can achieve similar early clinical efficacy.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Objective:To compare the clinical efficacy of Minimally Invasive Surgery (MIS) and traditional Posterior Spinal Fusion (PSF) in treating children with paralytic scoliosis with pelvic obliquity (PSPO) following spinal cord injury.Methods:A retrospective analysis was conducted on the data of 25 patients with PSPO who underwent surgical treatment at the Drum Tower Hospital affiliated with Nanjing University Medical School from January 2017 to June 2023. The cohort included 4 males and 21 females, aged 12.3±2.8 years (range 9-14 years). Patients were divided into the MIS group (12 cases) and the PSF group (13 cases). Radiological parameters were measured preoperatively, postoperatively, and at the last follow-up. Surgical time, intraoperative blood loss, intraoperative blood transfusion volume, length of hospital stay, total hospitalization costs, and complications were recorded. The Scoliosis Research Society questionnaires-22 (SRS-22) Chinese version were used to assess patient satisfaction and efficacy.Results:There were no statistically significant differences between the MIS and PSF groups in age, gender, Risser sign, preoperative Cobb angle for scoliosis, pelvic tilt angle, or local kyphosis angle ( P>0.05). The MIS group demonstrated surgical time of 176±30 minutes, intraoperative blood loss of 300±70 ml, blood transfusion volume of 280±175 ml, and total hospitalization costs of 87'800± 13'300 yuan, all of which were lower than PSF group, with values of 280±91 minutes, 1'433±116 ml, 1'351±996 ml, and 14'8400±26'100 yuan, respectively. These differences were statistically significant ( t=3.789, P=0.001; t=29.328, P<0.001; t=3.667, P=0.001; t=7.271, P<0.001). In the MIS group, preoperative, postoperative, and last follow-up Cobb angles were 79.11°±6.74°, 35.86°±4.98°, and 36.27°±4.84° respectively; pelvic tilt angles were 24.79°±5.58°, 9.18°±3.32°, and 8.79°±2.94°; local kyphosis angles were 38.84°±4.18°, 12.96°±4.87°, and 11.43°±6.08°, respectively. Postoperative and last follow-up angles were significantly reduced compared to preoperative values, with statistically significant differences ( P<0.05). In the PSF group, preoperative, postoperative, and last follow-up Cobb angles were 82.06°±9.26°, 34.75°±5.14°, and 35.15°±5.04° respectively; pelvic tilt angles were 26.60°±6.21°, 10.12°±3.21°, and 9.91°±2.97°; local kyphosis angles were 40.92°±7.04°, 10.92°±7.26°, and 14.02°±5.58°, respectively. Differences from preoperative to postoperative measurements were statistically significant ( P<0.05). At the last follow-up, both groups showed no significant loss of scoliosis correction, and there were no statistically significant differences between the groups postoperatively or at the last follow-up ( P>0.05). In the MIS group, one case of superficial surgical site infection and one case of postoperative atelectasis occurred. In the PSF group, two cases of deep surgical site infection, one case of poor screw placement, and two cases were transferred to the ICU postoperatively due to excessive intraoperative bleeding. Preoperative SRS-22 total scores were 2.0±0.6 for PSF and 2.1±0.4 for MIS. Postoperative SRS-22 total scores (excluding satisfaction) were 3.0±0.5 for PSF and 2.9±0.3 for MIS. The within-group differences from preoperative to postoperative were statistically significant ( P<0.05), while the between-group differences from preoperative to postoperative were not statistically significant ( P>0.05). Conclusion:Compared to the PSF technique, MIS can shorten surgery time, reduce intraoperative blood loss and perioperative complications, and decrease hospitalization costs. MIS can achieve similar early clinical efficacy.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

This study aims to explore the scientific connotation of sinking Rehmanniae Radix has the best quality and compare the quality between floating and sinking fresh Rehmanniae Radix samples. Ultra-performance liquid chromatography tandem quadrupole electrostatic field Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) was employed to detect the chemical components in floating and sinking fresh Rehmanniae Radix samples. The fingerprint of fresh Rehmanniae Radix was established by high performance liquid chromatography(HPLC), and four index components were determined simultaneously. The cluster analysis, principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) were conducted to compare the quality of floating and sinking fresh Rehmanniae Radix samples. An evaporative light-scattering detector was used to compare the content of five sugars. The extract yield and drying rate were determined, and the quality connotation of sinking Rehmanniae Radix has the best quality was explained by multiple indicators. A total of 41 components were preliminarily identified from fresh Rehmanniae Radix by UHPLC-Q-Orbitrap HRMS, including 7 iridoid glycosides, 9 phenylethanol glycosides, 6 amino acids, 4 sugars, 3 phenolic acids, 5 nucleosides, 3 organic acids, 1 ionone, 1 furan, 1 coumarin, and 1 phenylpropanoid. The results showed that the main chemical components were consistent between floating and sinking fresh Rehmanniae Radix. Nine common peaks were identified in the fingerprints of 15 batches of floating and sinking fresh Rehmanniae Radix samples, and the similarity of fingerprints was greater than 0.9. The cluster analysis, PCA, and OPLS-DA classified floating and sinking fresh Rehmanniae Radix sasmples into two categories, indicating differences in the quality between them. The total content of catalpol, rehmannioside D, ajugol, and verbascoside in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was catalpol. The total content of fructose, glucose, sucrose, raffinose, and stachyose in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was stachyose. The extract yield and drying rate of the sinking samples were higher than those of floating samples. This study preliminarily showed that floating and sinking fresh Rehmanniae Radix samples had the same components but great differences in the content of medicinal substance basis. The total content of four glycosides and five sugars, extract yield, and drying rate of sinking fresh Rehmanniae Radix samples is higher than that of floating samples of the same batch and specification. These findings, to a certain extent, explains the scientificity of sinking Rehmanniae Radix has the best quality recorded in ancient books and provide a reference for the quality control and clinical application of fresh Rehmanniae Radix.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Rehmannia/chemistry* ; Chemometrics ; Mass Spectrometry/methods* ; Quality Control ; Principal Component Analysis ; Plant Extracts

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

Objective:To investigate the clinical efficacy and safety of Pseudomonas aeruginosa injection in preventing reurrent urinary tract infection in women. Methods:This was a multicenter, randomized, open, positive-controlled, non-inferiority trial involving female patients with recurrent urinary tract infections (rUTIs) who were admitted to 11 medical centers in China. Inclusion criteria: ①Aged 18-70 years, with verifiable clinical data showing at least 3 episodes of acute UTIs within 1 year and at least 2 episodes within 6 months, and cured by antimicrobial therapy; ② At the time of enrollment, the patients had no obvious symptoms of urinary tract irritation, normal white blood cell count in midstream urine routine (within the normal range of laboratory standards of each unit) or ≤3HP by centrifuge microscopy, negative leucocyte esterase and nitrite, and negative urine culture; ③No abnormal urinary anatomic function (such as urinary obstruction, calculus or congenital urinary malformation) and residual urine volume ≤50 ml were detected by B-ultrasound of urinary system; ④Informed consent signed by the person or agent; ⑤Clear consciousness, able to answer questions independently, according to the requirements of the test plan to complete the research questionnaire. Exclusion criteria: ①Patients allergic to the above drugs; ②Any complex signs of urinary tract infection or pyelonephritis (manifested as low back pain, fever ≥37.3℃, systemic symptoms); ③Drugs affecting immune function were used within 7 days before randomization; ④Patients with basic diseases of urinary system such as obstruction, calculus, urinary stenosis, vesicoureteral reflux or other functional abnormalities, urine diversion, indwelling catheter or stent tube or intermittent catheterization; ⑤Combined with or existing systemic lupus erythematosus, AIDS and other diseases that can lead to systemic immune function abnormalities; ⑥Patients who are known or suspected to be pregnant, breastfeeding, or planning a pregnancy within 3 months of stopping the drug; ⑦Patients with malignant tumors and mental patients; ⑧Persons who have received any other investigational drug treatment or participated in another interventional clinical trial within 4 weeks prior to screening; ⑨Failure to comply with the trial protocol or other conditions deemed unsuitable for enrollment by the investigator. Patients were randomly divided into 2 groups. The experimental group was given Pseudomonas aeruginosa injection for 5 times, 0.5 ml for the first time, and 1 ml/ time per week for the following 4 weeks. The control group was given fosfomycin aminotriol 3g orally, once every 10 days, for 9 consecutive times. The patients were followed up for 6 to 8 months, during which urinary tract symptoms developed and routine urine tests showed abnormally elevated white blood cells, which was defined as recurrent UTIs. Urine routine, liver and kidney function, and urinary secretory immunoglobulin A(SIgA) were reviewed 0-2 days (V2) after the 5th administration of the experimental group and the 4th administration of the control group. Urine routine and urine SIgA were reviewed at (90±10) d (V3) and (180±10) d (V4) after treatment. At (270±10) d (V5) after treatment, the recurrence (re-infection caused by the same species of bacteria) or re-infection (re-infection caused by non-same species of bacteria) of the two groups were compared, and non-inferiority analysis was performed, and the non-inferiority threshold was set at 0.2. Results:From March 2021 to May 2022, a total of 152 rUTIs patients were enrolled in this study, including 80 patients in the experimental group, 71 patients in the intention-to-analysis set (ITT) and 66 patients in the protocol analysis set (PPS). In the control group, 72 cases met ITT in 69 cases and PPS in 67 cases. There were no significant differences in age, body mass index, marital status, duration of urinary tract infection, history of diabetes, history of previous major surgery, history of infection, and urinary SIgA between the two groups (all P>0.05). The recurrence rates of the experimental group and the control group at V5 time point were 44.78% (30/67) and 42.65% (29/68), respectively ( P=0.803) (ITT data set analysis results showed that the difference in recurrence rates between the two groups was 0.0213(95% CI-0.1460-0.1886, P=0.0048). PPS data set analysis showed that the difference of recurrence rate between the two groups was -0.0021(95%CI -0.1711-0.1670, P=0.0109), and the recurrence rate of the experimental group was not worse than that of the control group. At V2 time points, there were no significant differences in liver and kidney function indexes between test group and control group ( P>0.05). At V2 to V4 time points, urinary SIgA of test group and control group were 0.90 (0.37, 2.89) mg/L and 1.32 (0.34, 3.08) mg/L, 1.54 (0.44, 3.23) mg/L and 1.71 (0.27, 2.92) mg/L, 1.11 (0.65, 3.42) mg/L and 2.18 (0.43, 3.26) mg/L, there was no statistical significance ( P>0.05). The incidence of adverse events in the experimental group was 30.0% (24/80), including 14 cases of redness, pain and discomfort at the injection site, 5 cases of fever, 2 cases of allergic rash, and 1 case of urticaria, headache and constipation each. The incidence of adverse events in the control group was 5.6% (4/72), all of which were diarrhea, and the difference between the two groups was statistically significant ( P<0.01). No life-threatening serious adverse events occurred in both groups, and all adverse events were self-healing without additional intervention. Conclusions:Compared with fosfomycin aminotriol, Pseudomonas aeruginosa injection has the same clinical effect in preventing rUTI and has good safety.

As a unique gene in the genome,FLASH(FADD-like interleukin-1β-converting enzyme asso-ciated huge protein)/CASP8AP2 is involved in multiple cellular processes,including apoptosis,histone gene pre-mRNA processing,transcriptional regulation,and cell cycle progression.Clinical studies have shown that FLASH is a valuable prognostic marker for acute lymphoblastic leukemia,and a crucial factor for the survival of various cancer cells.Therefore,in-depth research into the function of FLASH may offer new perspectives for the treatment of related diseases.Our previous research identified FLASH as a bind-ing partner of p53,demonstrating that FLASH enhances the transcriptional activity of p53.Here we fur-ther investigate the molecular mechanisms of the interaction between FLASH and p53,revealing that the p53-K386R mutation(SUMOylation residue)attenuated its interaction with FLASH(aa 51-200)and FLASH-SIM(SUMO-interacting motif)(aa 1 534-1 806)significantly.However,SUMO can bind to FLASH-SIM directly,instead of FLASH(aa 51-200).Subsequent research shows that overexpression of FLASH in cells enhances global SUMO1 conjugation and p53-SUMO1 conjugation,therefore providing a plausible explanation for the underlying mechanism of FLASH enhancing the transcriptional activity of p53.Since promyelocytic leukemia protein nuclear body(PML NB)serves as subcellular reactors for SUMO conjugation within the cell,and the PML Ⅳ isoform can specifically enhance the SUMO modifica-tion of p53,we have investigated the interaction between FLASH and PML Ⅳ,and elucidated the struc-tural basis of their interaction:both FLASH-N3A(501-802)and FLASH-C2(1 807-1 981)bind to PML Ⅳ(aa 228-633).Further investigations reveal that they can synergistically enhance global SUMO1 modification as well as SUMO1 modification of p53.The interaction between FLASH and tumor suppres-sors p53 or PML Ⅳ enriches our understanding of its function and reveals the potential mechanism of FLASH in tumor development,therefore offering novel insights into cancer diagnosis and treatment.

Objective:To investigate two cases of rare pathogenic genes,initiation codon mutations in HBA2 gene,combined with Southeast Asian deletion and their family members to understand the relationship of HBA2:c.2T＞C and HBA2:c.2delT mutations with clinical phenotype.Methods:The peripheral blood of family members was obtained for blood cell analysis and capillary electrophoresis hemoglobin analysis.Gap-PCR and reverse dot blotting(RDB)were used to detect common types of mutations in α-thalassaemia gene.Sanger sequencing was used to analyze HBA1 and HBA2 gene sequence.Results:Two proband genotypes were identified as--SEA/αα with HBA2:c.2T＞C and--SEA/αα with HBA2:c.2delT.HBA2:c.2T＞C/WT and HBA2:c.2delT/WT was detected in family members.They all presented with microcytic hypochromic anemia.Conclusion:When HBA2:c.2T＞C and HBA2:c.2delT are heterozygous that can lead to static α-thalassemia phenotype,and when combined with mild α-thalassemia,they can lead to the clinical manifestations of hemoglobin H disease.This study provides a basis for genetic counseling.

Objective:To perform molecular diagnosis and pedigree analysis for one case with α-thalassemia who does not conform to the genetic laws,and explore the effects of a newly discovered rare mutation(HBA2:c.*12G＞A)on clinical phenotypes.Methods:Blood samples of the proband and her family members were collected for blood routine analysis,and the hemoglobin components were analyzed by capillary electrophoresis.The common α-and β-globin gene loci in Chinese population were detected by conventional techniques(Gap-PCR,RDB-PCR).The α-globin gene sequences(HBA1,HBA2)were analyzed by Sanger sequencing.Results:By analyzing the test results of proband and her family members,the genotype of the proband was-α3,7/HBA2:c.*12G＞A,her father was HBA2:c.*12G＞A heterozygous mutation carrier.Conclusion:This study identifies a rare α-globin gene mutation(HBA2:c.*12G＞A)that has not been reported before.It is found that heterozygous mutation carriers present with static α-thalassemia.