Objective To investigate the value of preoperative clinical data and computed tomography angiography (CTA) data in predicting perioperative mortality risk in patients with acute aortic dissection (AAD), and to construct a Nomogram prediction model. Methods A retrospective study was conducted on AAD patients treated at Affiliated Hospital of Zunyi Medical University from February 2013 to July 2023. Patients who died during the perioperative period were included in the death group, and those who improved during the same period were randomly selected as the non-death group using a random number table method. The first CTA data and preoperative clinical data within the perioperative period of the two groups were collected, and related risk factors were analyzed to screen out independent predictive factors for perioperative death. The Nomogram prediction model for perioperative mortality risk in AAD patients was constructed using the screened independent predictive factors, and the effect of the Nomogram was evaluated by calibration curves and area under the curve (AUC). Results A total of 270 AAD patients were included. There were 60 patients in the death group, including 42 males and 18 females with an average age of (56.89±13.42) years. There were 210 patients in the non-death group, including 163 males and 47 females with an average age of (56.15±13.77) years. Multivariate logistic regression analysis showed that type A AAD [OR=4.589, 95%CI (2.273, 9.267), P<0.001], irregular tear morphology [OR=2.054, 95%CI (1.025, 4.117), P=0.042], decreased hemoglobin [OR=0.983, 95%CI (0.971, 0.995), P=0.007], increased uric acid [OR=1.003, 95%CI (1.001, 1.005), P=0.004], and increased aspartate aminotransferase [OR=1.003, 95%CI (1.000, 1.006), P=0.035] were independent risk factors for perioperative death in AAD patients. The Nomogram prediction model constructed using the above risk factors had an AUC of 0.790 for predicting perioperative death, indicating good predictive performance. Conclusion Type A AAD, irregular tear morphology, decreased hemoglobin, increased uric acid, and increased aspartate aminotransferase are independent predictive factors for perioperative death in AAD patients. The Nomogram prediction model constructed using these factors can help assess the perioperative mortality risk of AAD patients.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR＞1.68 and diagnosed with cM0(i+)], Group B [LNLR＞1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.

Objective To explore the clinical efficacy and medical costs of high ligation and stripping of the great saphenous vein,simple foam sclerotherapy,and high ligation of the great saphenous vein combined with foam sclerotherapy for treating varicose of great saphenous vein.Methods The clinical data of patients with varicose of great saphenous vein undergoing high ligation and stripping of the great saphenous vein,simple foam sclerotherapy,or high ligation of the great saphenous vein combined with foam sclerotherapy were analyzed retrospectively.The evaluation included efficacy assessment,quality of life evaluation,hospitalization days and costs,postoperative complications,and recurrence after surgery.Results There were no statistical differences in gender,age,disease course and clinical etiology anatomy pathophysiology(CEAP)grading system among the three groups(P＞0.05).The clinical efficacy assessments in all patients among the three groups showed significant effects at 3 and 6 months postoperatively.One patient in the group treated with high ligation of the great saphenous vein combined with foam sclerotherapy suffered deep vein thrombosis of lower extremity after operation.In terms of quality of life,there was no statistically significant difference in venous clinical severity score(VCSS)among the three groups at 3 months postoperatively(P＞0.05).The group treated with simple foam sclerotherapy showed significantly shorter hospitalization days compared with the other two groups.Additionally,the group treated with simple foam sclerotherapy showed lower hospitalization expenses,which was not statistically significant when compared to the group treated with high ligation and stripping of the great saphenous vein group(P＞0.05),but there was a statistical difference compared to the group treated with high ligation of the great saphenous vein combined with foam sclerotherapy(P＜0.05).Conclusion There are no significant differences in clinical efficacy,postoperative pain,and quality of life evaluation among the three methods.However,simple foam scle-rotherapy may reduce the length of hospitalization stay and direct medical costs.

Objective To explore the clinical efficacy and medical costs of high ligation and stripping of the great saphenous vein,simple foam sclerotherapy,and high ligation of the great saphenous vein combined with foam sclerotherapy for treating varicose of great saphenous vein.Methods The clinical data of patients with varicose of great saphenous vein undergoing high ligation and stripping of the great saphenous vein,simple foam sclerotherapy,or high ligation of the great saphenous vein combined with foam sclerotherapy were analyzed retrospectively.The evaluation included efficacy assessment,quality of life evaluation,hospitalization days and costs,postoperative complications,and recurrence after surgery.Results There were no statistical differences in gender,age,disease course and clinical etiology anatomy pathophysiology(CEAP)grading system among the three groups(P＞0.05).The clinical efficacy assessments in all patients among the three groups showed significant effects at 3 and 6 months postoperatively.One patient in the group treated with high ligation of the great saphenous vein combined with foam sclerotherapy suffered deep vein thrombosis of lower extremity after operation.In terms of quality of life,there was no statistically significant difference in venous clinical severity score(VCSS)among the three groups at 3 months postoperatively(P＞0.05).The group treated with simple foam sclerotherapy showed significantly shorter hospitalization days compared with the other two groups.Additionally,the group treated with simple foam sclerotherapy showed lower hospitalization expenses,which was not statistically significant when compared to the group treated with high ligation and stripping of the great saphenous vein group(P＞0.05),but there was a statistical difference compared to the group treated with high ligation of the great saphenous vein combined with foam sclerotherapy(P＜0.05).Conclusion There are no significant differences in clinical efficacy,postoperative pain,and quality of life evaluation among the three methods.However,simple foam scle-rotherapy may reduce the length of hospitalization stay and direct medical costs.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.

Excessive fat accumulation,viral infections and sustained inflammatory responses caused by non-alcoholic and alcoholic factors can contribute to liver inflammation,fibrosis and carcinogenesis,promoting the development of chronic liver disease.Gaining an in-depth understanding of the etiologic factors and underlying mechanisms that lead to chronic liver disease can help identify potential therapeutic targets for targeted therapy.Lactate,as an important substance in hepatic metabolism,has been found to be involved in the process of chronic liver disease through various pathways,and this review will provide a useful reference for the prevention and treatment of chronic liver disease.

The dried mature peel of Citrus reticulata, a plant in the Rutaceae family and its cultivated varieties, is a commonly used Chinese medicinal material known as Chenpi(Citri Reticulatae Pericarpium). It is rich in nutritional components and medicinal value, with pharmacological effects including relieving cough and eliminating phlegm, strengthening the spleen and drying dampness, protecting the liver and benefiting the stomach, tonifying Qi, and calming the mind. Huanglongbing(HLB), also known as Citrus Huanglongbing, is a destructive disease in citrus production that seriously threatens the development of the citrus industry. HLB causes symptoms such as the inability of Rutaceae plants to produce mature fruit, gradual weakening of the tree, and eventual death, posing a significant threat to the yield and quality of Chenpi. Due to the uneven distribution of the HLB pathogen in infected plants, accurate detection of the pathogen requires the collection of a large number of plant samples. Current sample pretreatment methods, such as traditional extraction methods and commercial extraction kits, are time-consuming and involve multiple steps, which significantly increase the difficulty and workload of HLB diagnosis and have become a bottleneck in HLB detection. In this study, a rapid high-throughput detection method combining alkali lysis and TaqMan qPCR was developed. This method allows the pretreatment of multiple samples within 5 min, and the entire detection process can be completed within 45 min, with a detection limit of 6.67 fg·μL~(-1). The alkali lysis method and commercial kits were used for parallel detection of field-collected citrus samples, and the results showed no significant difference. The sample pretreatment method established in this study is characterized by low cost, simplicity, and high efficiency. Combined with TaqMan qPCR, it can provide technical support for early and on-site diagnosis of HLB. This method is of great significance for disease prevention and control in the citrus industry and is expected to help improve the yield and quality of citrus medicinal materials.
Citrus/microbiology* ; Plant Diseases/microbiology* ; Rhizobiaceae/physiology* ; High-Throughput Screening Assays/methods* ; Liberibacter/physiology*

Excessive fat accumulation,viral infections and sustained inflammatory responses caused by non-alcoholic and alcoholic factors can contribute to liver inflammation,fibrosis and carcinogenesis,promoting the development of chronic liver disease.Gaining an in-depth understanding of the etiologic factors and underlying mechanisms that lead to chronic liver disease can help identify potential therapeutic targets for targeted therapy.Lactate,as an important substance in hepatic metabolism,has been found to be involved in the process of chronic liver disease through various pathways,and this review will provide a useful reference for the prevention and treatment of chronic liver disease.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.