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.

Developing an intelligent agent for integrated traditional Chinese and western medicine diagnosis and treatment based on clinical practice guidelines is a key approach to advancing the standardization and intelligent deve-lopment of traditional Chinese medicine （TCM） and to supporting clinical decision-making. This paper argues for the necessity of building a knowledge base using guidelines as the sole data source， systematically identifies five core methodological challenges across the entire process， and proposes corresponding solutions. An ontology framework capable of distinguishing between TCM and western medicine concepts should be designed to address the difficulty of knowledge integration. A closed-loop "algorithm-based extraction-expert review" model is adopted to reduce data extraction errors. Expert consensus is incorporated to address decision gaps in specific clinical scenarios outlined in the guidelines， while a multi-stage， standardized output process for the AI system is established to eliminate model hallucinations. Furthermore， an evaluation framework reflecting clinical applicability is developed to enhance the AI system's accuracy and stability. Throughout the research process， it is essential to ensure the in-depth and continuous participation of multidisciplinary experts， strictly control the selection and quality evaluation of guidelines， and rely on the expert consensus method to address decision gaps in the knowledge base. Additionally， continuous validation and iterative optimization of intelligent agents are required to ensure the accuracy and stability of generated outputs. Limitations remain in the mechanisms for real-time knowledge synchronization in intelligent diagnostic and treatment systems， and further validation through large-scale real-world studies is warranted.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） constitution and factors associated with hyperuricemia （HUA） in the HUA population， providing a reference for persona-lized prevention and management of HUA. MethodsA cross-sectional study was conducted among individuals who had completed both serum uric acid （SUA） testing and TCM constitution identification during health examinations. According to SUA levels， participants were divided into a hyperuricemia group and a normal SUA group； according to the constitution identification results， participants were classified into balanced constitution， single biased constitution， and mixed constitution. The distribution characteristics of TCM constitution were compared between the two groups； participants in the hyperuricemia group were stratified by sex and age （≥18 years and ＜40 years， ≥40 years）， and the distribution characteristics of TCM constitution were compared across different sex and age groups. Logistic regression was used to analyze factors associated with HUA， with further stratified analyses by sex and age. ResultsA total of 10 920 participants were included， comprising 4170 cases （38.19%） in the hyperuricemia group and 6750 cases （61.81%） in the normal serum uric acid group. According to TCM constitution， there were 420 cases （3.85%） with balanced constitution， 6108 cases （55.93%） with single biased constitution， and 4392 cases （40.22%） with mixed constitution. In the hyperuricemia group， there were 80 cases （19.05%） with balanced constitution； 2275 cases （37.25%） with single biased constitution， among which damp-heat constitution （1205 cases， 52.97%）， phlegm-dampness constitution （500 cases， 21.98%）， and qi-stagnation constitution （181 cases， 7.96%） accounted for relatively high proportions； and 1815 cases （41.33%） with mixed constitution， among which mixed constitution involving phlegm-dampness （51.35%， 932 cases）， mixed constitution involving blood stasis （47.00%， 853 cases）， and mixed constitution involving damp-heat （41.21%， 748 cases） accounted for relatively high proportions. Logistic regression showed that qi-stagnation constitution （OR=1.68）， mixed constitution involving qi-stagnation （OR=1.53）， mixed constitution involving phlegm-dampness （OR=1.55）， and mixed constitution involving blood stasis （OR=1.50） were independently associated with HUA （P＜0.05）. Sex-stratified analysis showed that mixed constitution involving phlegm-dampness was positively associated with HUA risk in females； age-stratified analysis showed that， among individuals aged ≥18 and ＜40 years， qi-stagnation constitution， mixed constitution involving qi stagnation， and mixed constitution involving phlegm-dampness were positively associated with HUA risk （all P＜0.05）. ConclusionThe prevalence of HUA differs markedly by sex and age. Mixed constitution accounts for a higher proportion of HUA patients. Qi-stagnation constitution， mixed constitution involving qi stagnation， mixed constitution involving phlegm-dampness， and mixed constitution involving blood stasis are associated with HUA. Notably， the specific association of mixed constitution involving phlegm-dampness in females and qi-stagnation constitution in young adults is particularly prominent.

ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

Objective:To analyze the positioning error and the overall setup errors (OSEs) of patients undergoing gamma knife pain-free face mask fractionated treatment for head tumors based on kV orthogonal image guidance.Methods:A total of 58 patients who received image-guided fractionated gamma knife treatment for head tumors with a pain-free face mask at the Gamma Knife Treatment Center of Xi'an International Medical Center Hospital from July 1, 2022 to May 31, 2024 were included in the study. A kV-class orthogonal X-ray IGPS image-guided positioning system was used to collect positioning errors in three translational directions: left-right (X), anterior-posterior (Y), and head-foot (Z), as well as in three rotational directions: left-right (P), anterior-posterior (R), and head-foot ( Y) before correction. After online correction and combined with manual positioning verification, the corrected positioning errors were recalculated. The OSEs in translational and rotational directions were calculated before and after correction. The positioning errors in all six directions (X, Y, Z, P, R, Y) before and after correction were plotted. And the OSE scatter plots in translational and rotational directions were created accordingly. Errors in the six directions and OSEs in translational and rotational directions were compared. The OSEs in translational and rotational directions were analyzed across different age groups and genders. Results:The pre-correction positioning errors in the X, Y, Z, P, R, Y directions for patients were (0.45±1.54) mm, -0.96 (-1.70, -0.28) mm, 1.67 (-0.15, 3.07) mm, (0.70±1.60) °, 0.65 (0.30, 1.19) °, (0.59±0.87) °, and the post-correction positioning errors were (-0.02±0.18) mm, 0.15 (0.10, 0.21) mm, 0.06 (-0.04, 0.16) mm, (0.20±0.79) °, 0.42 (0.19, 0.78) °, (0.20±0.63) °. There were statistically significant differences between before and after correction ( t=2.30, P=0.025; Z=-5.43, P<0.001; Z=-4.10, P<0.001; t=2.56, P=0.013; Z=-3.21, P=0.001; t=3.21, P=0.002). The OSEs in translational (X, Y, Z) and rotational (P, R, Y) directions before correction were 3.07 (1.93, 4.35) mm, 1.90 (1.28, 2.66) °, and the OSEs after correction were 0.27 (0.21, 0.33) mm, 1.08 (0.70, 1.54) °, with statistically significant differences ( Z=-6.60, P<0.001; Z=-5.52, P<0.001). For patients aged 18-44 years, the OSEs in translational (X, Y, Z) and rotational (P, R, Y) directions before and after correction were 3.65 (1.62, 3.95), 0.21 (0.21, 0.31) mm, 3.25 (2.24, 3.96) °, 0.92 (0.59, 1.45) °; for patients aged 45-59 years, the OSEs were 3.57 (2.17, 5.22), 0.29 (0.22, 0.35) mm, 1.89 (1.30, 2.30) °, 1.08 (0.62, 1.51) °; for patients aged 60-74 years, the OSEs were 2.92 (1.74, 4.06), 0.24 (0.19, 0.35) mm, 2.16 (1.09, 2.95) °, 0.98 (0.78, 1.75) °; for patients aged 75-89 years, the OSEs were 3.24 (2.12, 4.37), 0.29 (0.22, 0.47) mm, 1.73 (1.01, 1.83) °, 0.60 (0.47, 1.51) °. There were no statistically significant differences in OSEs of translational and rotational directions before and after correction among the four age groups ( H=1.23, P=0.747; H=1.74, P=0.627; H=7.45, P=0.059; H=2.80, P=0.424). For male patients, the OSEs before and after correction in translational (X, Y, Z) and rotational (P, R, Y) directions were (3.19±1.59), 0.27 (0.27, 0.33) mm, 1.89 (1.27, 2.75) °, (0.84±0.59) °; for female patients, the OSEs were (3.22±1.99), 0.26 (0.25, 0.35) mm, 1.90 (1.34, 2.41) °, (1.04±0.46) °. There were no statistically significant differences in OSEs of translational and rotational directions before and after correction between genders ( t=-0.07, P=0.949; Z=-0.48, P=0.632; Z=-0.02, P=0.161; t=-2.80, P=0.424) . Conclusions:The image-guided system, which is based on the kV orthogonal X-ray stereoscopic imaging, can significantly reduce the positioning errors between fractions of pain-free face mask gamma knife treatment for head tumor patients and improve the positioning accuracy of the gamma knife through the dual verification process of "automatic correction and manual review".

Objective To explore the application of iRoot SP single-tip filling technique in the treatment of dental pulp disease and its influence on serum inflammatory factors.Methods A total of 86 patients with dental pulp disease who were admitted to Dazu District People's Hospital from July 2022 to December 2022 were selected and assigned to observation group or control group according to a random number table,with 43 cases in each group.The observation group underwent root canal filling by iRoot SP single-tip method,and the control group was given root canal filling by iRoot SP cold lateral condensation.The filling effect,serum levels of interleukin(IL)-1β,IL-4,and tumor necrosis factor-α(TNF-α)before and after treatment,and short-term efficacy were compared between the two groups.Results The exact filling rate in the observation group was higher than that in the control group(93.02%vs.76.76%,P<0.05).The time of root canal filling in the observation group was shorter than that in the control group(P<0.05),but there was no significant difference in the proportion of filling area between the two groups(P>0.05).After treatment,serum IL-4 level was increased,while IL-1β and TNF-α were decreased in both groups(P<0.05);observation group had higher IL-4 level and lower IL-1β and TNF-α levels than control group(P<0.05).After 3 months of treatment,no significant difference was found in the total effective rate between the two groups(P>0.05).Conclusion iRoot SP single-tip filling technique can shorten the filling time,increase the exact filling rate,and reduce the inflammation levels in the treatment of dental pulp disease.In clinical practice,the appropriate technique should be selected according to patient's condition.

Objective To systematically review and quantitatively analyze the safety of biologic agents for the clinical treatment of psoriasis during pregnancy and lactation.Methods The literature from start of database to June 27,2023,was searched in MEDLINE(PubMed),Embase,Cochrane Library,and Web of Science by two researcher.Quality of included studies was assessed by the quality evaluation tool of case series from Australian JBI Evidence Based Healthcare Centre.According to Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA),a systematic review and was conducted to assess pregnancy or breastfeeding outcomes in psoriasis patients exposed to biologics within 3 months prior to pregnancy,during pregnancy or breastfeeding.Data on pregnancy and exposure characteristics were pooled,and the prevalence of adverse pregnancy outcome was summarized using a random effects model.Results A total of 54 studies involving 1206 pregnancies in 1177 female patients with psoriasis exposed to biologic agents were included in the analysis.Systematic review results demonstrated that the majority of the exposures were limited to early pregnancy,with pooled spontaneous abortion rates,elective abortion rates,overall mortality,preterm birth rates,incidence of low birth weights,and congenital anomalies similar to those of general population(P>0.05).Furthermore,no serious adverse reactions were reported during lactation.Conclusions The use of biologic agents in pregnant and breastfeeding women with psoriasis does not significantly increase the risk of adverse pregnancy outcomes and does not affect neonatal health or growth.However,the limited available safety data underscores the necessity of further studies to establish the relationship between psoriasis,biologic agents,and pregnancy/lactation outcomes,thereby providing comprehensive guidance for clinical practice.

Objective To investigate the effect of splenectomy on the repair of full-thickness skin tissue defects,as well as the impact of different recovery times after splenectomy on the healing of skin tissue defects.Methods According to a random number table,39 8-week-old female C57 mice were randomly divided into three groups:sham surgery group(sham group,n=13),splenectomy group with 3 days of recovery(Spx3d group,n=13),and splenectomy group with 3 weeks of recovery(Spx3w group,n=13).Full-thickness skin defects were created on the backs of the mice in each group.The wound healing conditions at different times after skin defects were observed,and the wound healing rates after the injury were calculated.Peripheral blood cell analysis was performed on day 14 after the defect,and tissue samples from the wound area were taken for hematoxylin and eosin(HE)staining to observe the granulation tissue thickness at the defect site and the re-epithelialization rate.Masson's trichrome staining was used to observe the proportion of collagen fibers.Results After splenectomy and sham surgery,the mice recovered well without significant discomfort.From 1 to 14 days after the skin defect modeling,the wound areas of the mice in all three groups gradually decreased.Compared with sham group,the wound areas were smaller in Spx3d and Spx3w groups at 3,5 and 7 days after the injury,and the differences were statistically significant(P<0.05).The wound healing rates were also significantly higher(P<0.05).Moreover,at 3 days and 5 days after the injury,the wound healing rates of Spx3d group were significantly higher than those of Spx3w group(P<0.05 or P<0.01).The peripheral blood white blood cell(WBC)count in Spx3w group was significantly higher than that in sham group and Spx3d group(P<0.01).The platelet counts in both sham group and Spx3w group were significantly higher than that in Spx3d group(P<0.05).Additionally,the lymphocyte and neutrophil counts in Spx3w group were markedly higher than those in sham group(P<0.05).No statistically significant differences in red blood cell(RBC)counts were observed among the three groups(P>0.05).HE staining results showed that compared with sham group,the wound healing of the mice in Spx3d and Spx3w groups were better,and the thickness of the granulation tissue in Spx3d group were better than that in Spx3w group.At 7 days,the thickness of the granulation tissue in Spx3d and Spx3w groups was significantly higher than that in sham group(P<0.01,P<0.05)and the re-epithelialization rate in Spx3d group was significantly higher than that in sham group and Spx3w group(P<0.05).At 14 days,the re-epithelialization rates of Spx3d and Spx3w groups were significantly higher than those of sham group(P<0.05).The results of Masson's staining showed that the collagen fiber proportion in the wounds of Spx3d group at 7 and 14 days and that of Spx3w group at 14 days were significantly higher than that in sham group(P<0.05).Conclusion The healing of skin defects in mice is accelerated after splenectomy,and the recovery time after splenectomy has a certain effect on the healing of skin defects.

OBJECTIVE: To explore clinical characteristics, lesion sites and correlation differences of different types of diabetic foot gangrene, and to provide evidence-based basis for clinical classification of diabetic foot gangrene. METHODS: A retrospective analysis was conducted on 266 patients with newly diagnosed diabetic foot gangrene who were admitted from January 2018 to December 2018, including 183 males and 83 females, aged from 35 to 92 years old with an average of (69.55±10.84) years old, and they were divided into wet gangrene group and dry gangrene group according to the different natures of gangrene. There were 139 patients in wet gangrene group, including 98 males and 41 females, aged from 35 to 90 years old with an average of (68.95±10.93) years old. There were 127 patients in dry gangrene group, including 85 males and 42 females, aged from 38 to 92 years old with an average of (70.21±10.75) years old. Body mass index (BMI), waist-to-hip ratio (WHR), body temperature, skin temperature difference between the affected and healthy sides of the lower extremities, and Wagner grade between two groups were recorded to evaluate symptoms and signs. The white blood cell count (WBC), neutrophil percentage (NEUT%), and C-reactive protein (C-reactive protein), erythrocyte sedimentation rate (ESR), procalcitonin (PCT), and interleukin-6 (IL-6) in peripheral blood between two groups were detected and compared to evaluate the infection status;the severity of diabetic peripheral neuropathy (DPN) was evaluated by using Toronto Clinical Scoring System (TCSS);the degree of pain in patients with diabetic foot gangrene was evaluated by numerical rating scale (NRS); ankle-brachial index (ABI) and popliteal artery blood flow velocity were used to evaluate the degree of arterial lesions. Spearman correlation analysis was used to analyze the correlations between gangrene TCSS, ABI and age, BMI, WHR, body temperature, calf skin temperature difference, WBC, NEUT%, CRP, ESR, PCT, IL-6, NRS, and Wagner classification indicators. RESULTS: The body temperature, skin temperature difference between the affected and healthy sides of the lower extremities, Wagner grade, WBC, NEUT%, CRP, ESR, PCT, IL-6, TCSS score, ABI, and popliteal artery blood flow velocity in wet gangrene group were higher than those in dry gangrene group (P<0.01), and BMI, WHR, and NRS score in dry gangrene group were higher than those in wet gangrene group;the differences were all statistically significant (P<0.01). The results of Spearman correlation analysis showed TCSS score of gangrene patients was correlated with body temperature (r=0.214), calf skin temperature difference (r=0.364), WBC (r=0.240), NEUT% (r=0.291), CRP (r=0.347), ESR (r=0.167), PCT (r=0.241), IL-6 (r=0.316), and popliteal fossa arterial blood flow velocity (r=0.261) and Wagner grade (r=0.273) were positively correlated, and the differences were statistically significant (P<0.01). ABI was negatively correlated with age (r=-0.183), BMI (r=-0.252), WHR (r=-0.288), and NRS score (r=-0.354), and the differences were statistically significant (P<0.01). CONCLUSION Diabetic foot gangrene is an extremely difficult and critical disease. Wet gangrene has a significant synergic effect with infection and neuropathy, while dry gangrene is closely related to vascular occlusion. The main contradiction of gangrene could be revealed through blood vessels, nerves and infection, providing evidence-based basis for the selection of debridement timing, anti-infection strategies and revascularization, with the aim of reducing the risk of amputation.
Humans ; Male ; Female ; Aged ; Middle Aged ; Diabetic Foot/diagnosis* ; Aged, 80 and over ; Adult ; Retrospective Studies ; Gangrene/physiopathology* ; C-Reactive Protein