ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective:To establish a TaqMan-MGB probe-based method for detecting the polymorphic loci C677T and A1298C of the MTHFR gene.Methods:Specific primers and TaqMan-MGB probes targeting the C677T and A1298C polymorphic loci of the MTHFR gene were designed and optimized based on the gene sequence information.A real-time quantitative PCR detection system was established.Gradient dilution experiments were conducted to determine the limit of detection,and reproducibility experiments were performed to evaluate detection consistency.Specificity was validated using wild-type and mutant plasmid templates.The method was applied to detect 56 clinical samples,and its accuracy and practicality were assessed through comparison with traditional Sanger sequencing.Results:The TaqMan-MGB probe method demonstrated high specificity for detecting the C677T and A1298C loci,with no cross-reactivity between wild-type and mutant probes,enabling accurate genotype differentiation.Sensitivity experiments revealed detection limits of 1.13 × 103 copies/μL for C677T and 8.39 × 101 copies/μL for A1298C.Reproducibility experiments showed coefficients of variation below 1％,indicating stable and reliable results.Among the 56 clinical samples,the overall detection rate for the C677T locus was 86.99％,and for the A1298C locus,it was 97.92％.The TaqMan-MGB method exhibited good concordance with Sanger sequencing results.Conclusion:The TaqMan-MGB method exhibits high specificity,sensitivity,and excellent reproducibility in detecting the polymorphic loci C677T and A1298C of the MTHFR gene,making it suitable for rapid detection in large-scale clinical samples.This method provides an effective molecular diagnostic tool for the early diagnosis and prevention of folate-related diseases.

BACKGROUND:Developed by the esteemed Chinese medicine master Wei Guikang,Tongan Decoction has proven highly effective in treating knee osteoarthritis.However,the mechanism of action is yet unclear.OBJECTIVE:To elucidate how Tongan Decoction modulates synovial macrophage polarization as a therapeutic strategy for knee osteoarthritis in a rat model.METHODS:(1)We employed high-throughput microRNA sequencing and polymerase chain reaction to analyze the differentially expressed miRNA in synovial macrophages of normal and knee osteoarthritis rats.Predicted target genes of miR-27a were identified using bioinformatics databases,with subsequent validation through luciferase assays.A total of 68 Sprague-Dawley rats were randomly divided into normal control group(n=16),model group(n=16),miR-27a overexpression group(n=12),Tongan Decoction group(n=12),and Tongan Decoction+miR-27a inhibition group(n=12).The miR-27a overexpression group and the Tongan Decoction+miR-27a inhibition group were injected with miR-27a mimic and miR-27a inhibitor in the right knee joint cavity,respectively,once daily for 5 continuous days.On the 15th day after modeling,the Tongan Decoction group and the Tongan Decoction+miR-27a inhibition group were given Tongan Decoction by gastric lavage,and the other three groups were given saline by gastric lavage,once daily for 14 continuous days.After administration,behavioral tests,X-rays,hematoxylin-eosin staining of synovial and cartilage tissues of the knee joint and immunofluorescence staining of synovial tissues of the knee joint,RT-PCR,and Western blot were performed.RESULTS AND CONCLUSION:High-throughput sequencing of miRNA showed low expression of miR-27a in synovial tissues of rats with knee osteoarthritis.The target gene of miR-27a was nuclear factor κB,and luciferase assay showed that the two could bind to each other.Behavioral assays showed that miR-27a overexpression or Tongan Decoction alleviated joint dysfunction in rats with knee osteoarthritis,and miR-27a inhibition antagonized the effect of Tongan Decoction.X-ray films and hematoxylin-eosin staining showed that miR-27a overexpression or Tongan Decoction reduced the degree of knee osteoarthritis and miR-27a inhibition weakened the therapeutic effect of Tongan Decoction.The results of RT-PCR and western blot assay showed that compared with the normal control group,the expression of interleukin 10 was reduced in the model group(P＜0.05),and the expression of matrix metalloproteinase 13,interleukin 1β,and nuclear factor κB was elevated in the model group(P＜0.05).miR-27a overexpression or Tongan Decoction could differently reverse the changes in the above-mentioned indexes,while miR-27a inhibition weakened the effect of Tongan Decoction.Immunofluorescence staining results showed that CD86 protein expression in the model group was higher than that in the normal control group(P＜0.05),and CD206 protein expression was lower than that in the normal control group(P＜0.05);miR-27a overexpression group and Tongan Decoction had lower CD86 protein expression than that in the model group(P＜0.05),and higher CD206 protein expression than that in the model group(P＜0.05);in the Tongan Decoction+miR-27a inhibition group,CD86 protein expression was higher(P＜0.05)and CD206 protein expression was lower than that in the Tongan Decoction group(P＜0.05).Tongan Decoction mitigates knee osteoarthritis by upregulating miR-27a expression and suppressing nuclear factor κB activity,which improves knee joint function and further treats knee osteoarthritis.

BACKGROUND:Developed by the esteemed Chinese medicine master Wei Guikang,Tongan Decoction has proven highly effective in treating knee osteoarthritis.However,the mechanism of action is yet unclear.OBJECTIVE:To elucidate how Tongan Decoction modulates synovial macrophage polarization as a therapeutic strategy for knee osteoarthritis in a rat model.METHODS:(1)We employed high-throughput microRNA sequencing and polymerase chain reaction to analyze the differentially expressed miRNA in synovial macrophages of normal and knee osteoarthritis rats.Predicted target genes of miR-27a were identified using bioinformatics databases,with subsequent validation through luciferase assays.A total of 68 Sprague-Dawley rats were randomly divided into normal control group(n=16),model group(n=16),miR-27a overexpression group(n=12),Tongan Decoction group(n=12),and Tongan Decoction+miR-27a inhibition group(n=12).The miR-27a overexpression group and the Tongan Decoction+miR-27a inhibition group were injected with miR-27a mimic and miR-27a inhibitor in the right knee joint cavity,respectively,once daily for 5 continuous days.On the 15th day after modeling,the Tongan Decoction group and the Tongan Decoction+miR-27a inhibition group were given Tongan Decoction by gastric lavage,and the other three groups were given saline by gastric lavage,once daily for 14 continuous days.After administration,behavioral tests,X-rays,hematoxylin-eosin staining of synovial and cartilage tissues of the knee joint and immunofluorescence staining of synovial tissues of the knee joint,RT-PCR,and Western blot were performed.RESULTS AND CONCLUSION:High-throughput sequencing of miRNA showed low expression of miR-27a in synovial tissues of rats with knee osteoarthritis.The target gene of miR-27a was nuclear factor κB,and luciferase assay showed that the two could bind to each other.Behavioral assays showed that miR-27a overexpression or Tongan Decoction alleviated joint dysfunction in rats with knee osteoarthritis,and miR-27a inhibition antagonized the effect of Tongan Decoction.X-ray films and hematoxylin-eosin staining showed that miR-27a overexpression or Tongan Decoction reduced the degree of knee osteoarthritis and miR-27a inhibition weakened the therapeutic effect of Tongan Decoction.The results of RT-PCR and western blot assay showed that compared with the normal control group,the expression of interleukin 10 was reduced in the model group(P＜0.05),and the expression of matrix metalloproteinase 13,interleukin 1β,and nuclear factor κB was elevated in the model group(P＜0.05).miR-27a overexpression or Tongan Decoction could differently reverse the changes in the above-mentioned indexes,while miR-27a inhibition weakened the effect of Tongan Decoction.Immunofluorescence staining results showed that CD86 protein expression in the model group was higher than that in the normal control group(P＜0.05),and CD206 protein expression was lower than that in the normal control group(P＜0.05);miR-27a overexpression group and Tongan Decoction had lower CD86 protein expression than that in the model group(P＜0.05),and higher CD206 protein expression than that in the model group(P＜0.05);in the Tongan Decoction+miR-27a inhibition group,CD86 protein expression was higher(P＜0.05)and CD206 protein expression was lower than that in the Tongan Decoction group(P＜0.05).Tongan Decoction mitigates knee osteoarthritis by upregulating miR-27a expression and suppressing nuclear factor κB activity,which improves knee joint function and further treats knee osteoarthritis.

Objective:This study aims to investigate the expression of uridine diphosphate-glucose[]pyrophos-phorylase 2(UGP2)in breast cancer(BC)tissues and its oncogenic mechanism,assessing its potential value as a diag-nostic and prognostic biomarker for breast cancer.Methods:(1)Online database analysis was conducted to assess UGP2 mRNA and protein expression levels in breast cancer and explore their correlation with clinical characteristics.Im-munohistochemistry(IHC)was used to verify UGP2 expression in human breast cancer tumor tissues and evaluate its relationship with clinicopathological features.(2)Kaplan-Meier survival analysis and COX regression models were used to analyze the impact of UGP2 expression on breast cancer patient prognosis.(3)Bioinformatics methods were em-ployed to investigate the correlation between UGP2 and tumor immune cell infiltration,and to predict the biological func-tions and associated signaling pathways of UGP2 in breast cancer.Results:(1)The mRNA and protein expression levels of UGP2 were upregulated in breast cancer tissues(both P<0.05),and were negatively correlated with ER-positive and PR-positive status(OR<1,P<0.05),while positively correlated with Ki-67 levels and the triple-negative breast cancer(TNBC)subtype(OR>1,P<0.05).(2)Elevated expression levels of UGP2 were associated with poorer survival rates in breast cancer patients(both P<0.05)and were identified as an independent adverse prognostic factor for breast cancer(HR=1.40,P<0.05).(3)Functional analysis results suggested that UGP2 may promote tumor progression by regulating metabolism,hormone signaling,and the immune microenvironment.Additionally,UGP2 expression was negatively cor-related with NK cell activation status and positively correlated with the inhibitory state.Conclusion:UGP2 expression is elevated in breast cancer tissues and is closely associated with poor patient prognosis.It may promote cancer pro-gression through mechanisms such as metabolic reprogramming and immune suppression.UGP2 shows promise as a potential biomarker and therapeutic target in breast cancer,providing a basis for personalized treatment.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Objective To investigate the effects of neurotrophic factor Neuritin overexpression on the angiogenic effects of chicken embryonic allantoic membrane (CAM) and human umbilical vein endothelial cells (HUVECs),and to provide a new direction for the treatment of angiogenic diseases. Methods Thirty fresh yellow-skinned breeding eggs were selected to establish a CAM model,which were divided into three groups by randomized numerical table method:positive control group (bFGF),negative control group (NS) and experimental group (Neuritin),with 10 eggs in each group. The positive control group was loaded with 2500 U/mL of bFGF,the experimental group was loaded with 10 μg/mL of Neuritin protein,and the negative control group was loaded with NS. 10 μL loading volume was loaded into each group,and all CAMs were incubated at the same temperature,relative humidity,and time,and the vascular branching,number,and size of the CAMs in each group were recorded after 72 h of incubation. Fresh umbilical cords from healthy pregnant women were selected to produce primary HUVECs,which were divided into three groups:transfected with recombinant plasmid (HUVEC-neu group),transfected with empty vector (HUVEC-3.1 group),and untransfected (HUVEC group). Primary HUVECs in the HUVEC-neu group were transfected with the recombinant plasmid Neuritin,and those in the HUVEC-3.1 group were transfected with the empty vector. HUVEC-3.1 group was transfected with the empty vector plasmid,and HUVEC group was not given any special treatment,and all three groups received the same culture regimen. Western blot was used to detect the protein expression level of Neuritin in HUVEC-3.1 and HUVEC-neu groups. CCK-8 assay,cell scratch assay,Transwell assay,and tube formation assay were used to detect protein expression level of Neuritin in HUVEC-3.1 group and HUVEC-neu group,and HUVEC-neu groups for cell proliferation,migration and tube formation. Results (1) The number of CAM vessel branch points and microvessels in the experimental group was significantly increased compared with that in the negative control group (P<0.01),but there was no statistically significant difference in the number of large and medium-sized vessels between the two groups (P>0.05);(2) Neuritin was successfully overexpressed in HUVECs in the HUVEC-neu group. (3) Compared with the HUVEC-3.1 group,the proliferation vigor of cells in the HUVEC-neu group was decreased (P<0.05),but their migration and tube formation abilities were significantly enhanced (P<0.01). Conclusion Neuritin overexpression promotes angiogenesis and participates in the regulation of neovascularization by affecting cell prolif-eration,migration,and tube formation ability.

OBJECTIVE To establish a preparation system for megakaryocytes(MKs)derived from human embryonic stem cells(hESCs)and MK microparticles(MKMPs),and to assess the pro-angio-genic efficiency of these microparticles.METHODS ①hESCs were induced to mesodermal progenitor cells via monolayer culture with the first-stage induction medium for 2 days before the cells were induced to hemogenic endothelial/hematopoietic progenitor cells by culturing with the second-stage induction medium for another 3 days.Then,the cells were dissociated into single cells,seeded into the third-stage induction medium,and cultured using the suspension method for 8 days to obtain MKs.The specific characters of differentiated cells were identified through morphological observation and flow cytometry before stage-specific marker proteins in different periods were analyzed[hESCs:TRA-1-60,sialyl glycolipid stage-specific embryonic antigen4(SSEA4)];mesodermal progenitor cells:brachyury;hemogenic endothelial/hematopoietic progenitor cells:CD34,CD43;MKs:CD41a,CD42b),and immu-nofluorescence staining[β1-tubulin,von Willebrand factor(VWF)],[friend leukemia integration 1(FLI1),CD42].② MKMP collection and verification:MKMPs were collected via differential centrifugation.The concentration and size of these MKMPs were determined by nanoparticle tracking analysis(NTA),and both the morphology and ultrastructure were examined by transmission electron microscopy(TEM).Besides,the MKMPs-specific proteins[CD41,tumor susceptibility gene 101(TSG101)and CD9]were detected by Western blotting analysis.③ Biological function of MKMPs:MKMPs were stained with CD41a-PE antibodies and co-cultured with human umbilical veinvascular endothelial cells(HUVECs)labeled by CD34-APC for 3 h.Live-cell immunofluorescence was employed to find out whether HUVECs could absorb MKMPs.To find out whether MKMPs could affect the role of HUVECs in angio-genesis and cell migration,platelet microvesicles(PMPs)were used as positive controls.The experi-mental groups were added with different concentrations of microparticles(1,5,10 and 20 mg·L-1)while the control group was given no microparticles(0 mg·L-1).The number of nodes that formed the lumen after 5 h of incubation in Matrigel was counted,and the size of healing of the scratch area was analyzed after 6 h.To elucidate the mechanism through which MKMPs impacted angiogenesis,ELISA was used out to quantitatively detect the concentration of proteins in microparticles.RESULTS ① A three-stage differentiation cultural system was established to develop hESCs into MKs.Flow cytometry revealed progressive loss of pluripotency markers SSEA4 and TRA-1-60,while the mesodermal progenitor marker brachyury peaked at d 2.Subsequently,hemogenic endothelial/hematopoietic progenitor markers CD34 and CD43 emerged at d 5,followed by megakaryocytic markers CD41a and CD42b at d 13.Immunofluorescent images further demonstrated that MKs expressed specific proteins CD42,β1-tubulin,von VWF and FLI1 at d 13.②Microparticles were collected via differential centrifuga-tion.Transmission electron microscopy revealed that their substructure exhibited a typical double-layered membrane.Nanoparticle tracking analysis indicated that the size was(164.3±14.0)nm.The result of WB demonstrated that the microparticles expressed specific markers,including TSG101,CD9 and CD41.③ MKMPs were absorbed after being co-cultured with HUVECs for 3 h and enhanced the ability of HUVECs to form tubes and migrate.Notably,the treatment of 5 mg·L-1 MKMPs was more effective than 5 mg·L-1 PMPs treatment.The results of ELISA showed that the content of VEGF from MKMPs was higher than from PMPs,which may be the key factor in regulating endothelial biological function.CONCLUSION MKs derived from hESCs can generate functional microparticles which can promote angiogenesis.

Objective:To identify the risk factors for postoperative sleep disturbance (PSD) in patients undergoing spine surgery.Methods:In this case-control study, patients who underwent spine surgery from December 2023 to June 2024 at Beijing Tiantan Hospital of Capital Medical University, were selected as the subjects of the study. The quality of postoperative sleep was assessed using the Athens Insomnia Scale (AIS). The baseline characteristics and various perioperative indicators of the patients were collected. The patients were divided into PSD group and non-PSD group according to whether they had PSD. The variables with statistically significant differences from the univariate analysis were included in a multivariate logistic regression to identify the risk factors for PSD.Results:The results of the multivariate logistic regression analysis showed that preoperative sleep disturbance (odds ratio [ OR]=2.23, 95% confidence interval [ CI] 1.06-4.72, P=0.036), course of disease > 12 months ( OR=2.20, 95% CI 1.14-4.24, P=0.019) and AIS score > 2 on the night before surgery ( OR=2.06, 95% CI 1.02-4.16, P=0.045) were the independent risk factors for PSD in patients undergoing spine surgery. Conclusions:Preoperative sleep disturbance, course of disease > 12 months and AIS score > 2 on the night before surgery are independent risk factors for PSD in patients undergoing spine surgery.