[Objective] To establish a new scoring system to predict the perioperative outcomes (operation time, intraoperative blood loss, and trifecta achievement) in patients undergoing robot-assisted partial nephrectomy (RAPN) by integrating the RENAL and Mayo adhesive probability (MAP) scores. [Methods] Clinical data of 178 patients with renal cell carcinoma who underwent RAPN performed by the same surgeon in our hospital during Jan.2015 and Jan.2022 were retrospectively analyzed.The RENAL and MAP scores of all patients were calculated.Linear regression and logistic regression were used to evaluate the associations between the components of the RENAL and MAP scores (a total of 6 variables) and perioperative outcomes.The factors with significant associations were then included into logistic regression analysis to identify independent predictors for constructing an assessment system for perioperative outcomes, and the receiver operating characteristic (ROC) curve was plotted to calculate the area under the curve (AUC) to predict its efficacy. [Results] Multivariate linear regression analysis showed that tumor size (β=6.14, 95%CI: 1.93—10.34, P=0.004), exophytic rate (β=10.60, 95%CI: 3.44—17.76, P=0.004), and perinephric fat thickness (β=16.48, 95%CI: 8.52—24.45, P<0.001) were significantly associated with operation time.Tumor size (β=10.55 95%CI: 5.60—15.49, P<0.001) was associated with both intraoperative blood loss and trifecta achievement (OR=1.73, 95%CI: 1.26—2.36, P=0.001). Multivariate logistic regression analysis of these 3 factors identified tumor size (OR=9.07, 95% CI: 1.18—69.45, P=0.03) and perinephric fat thickness (OR=2.28, 95%CI: 1.86—6.04, P=0.01) as independent predictors of perioperative outcomes.Based on these findings, the tumor size and perinephric fat thickness (RP) scoring was constructed, which demonstrated better predictive ability than RENAL score or MAP score alone (RP vs.RENAL vs.MAP: 0.766 vs.0.548 vs.0.684). [Conclusion] The RP score includes fewer variables than the RENAL and MAP scores but outperforms them.

Objective To investigate the impact of type 2 inflammation markers blood eosinophils(EOS)and fractional exhaled nitric oxide(FeNO)on bronchodilator responsiveness(BDR)in patients with chronic obstructive pulmonary disease(COPD).Methods This study was conducted among 389 patients with an established diagnosis of COPD in our hospital from October,2019 to October,2023,who all underwent bronchial dilation test(BDT)of the large and small airways.Based on smoking history,blood EOS,and FeNO,these patients were divided group A(blood EOS<300/μL+FeNO<35 ppb+smoking history<20 pack-years),group B(blood EOS<300/μL+FeNO<35 ppb+smoking history≥20 pack-years),group C(blood EOS≥300/μL or FeNO≥35 ppb+smoking history≥20 pack-years),and group D(blood EOS≥300/μL or FeNO≥35 ppb+smoking history<20 pack-years)for analyzing the relationship between clinical indexes and BDR.Results BDR evaluation based on forced expiratory volume in 1 second(FEV1),forced vital capacity(FVC),and maximum mid-expiratory flow(MMEF)yielded consistent results,all showing a younger mean age,higher FeNO levels,and higher blood EOS counts and percentages in patients positive for BDT(P<0.05).The improvement value and improvement rate of FEV1 were significantly lower in group A than in group D.The improvement value and improvement rate of FEV1 as well as the improvement rate of MMEF were significantly lower in group B than in group D.In the overall patients,age and FeNO were significantly correlated with the improvement value and improvement rate of FEV1 and the improvement rate of MMEF(P<0.05).Conclusion Type 2 inflammation markers have different effects on BDR in the large and small airways of COPD patients,and their clinical significance needs further investigation.

Objective To investigate the impact of type 2 inflammation markers blood eosinophils(EOS)and fractional exhaled nitric oxide(FeNO)on bronchodilator responsiveness(BDR)in patients with chronic obstructive pulmonary disease(COPD).Methods This study was conducted among 389 patients with an established diagnosis of COPD in our hospital from October,2019 to October,2023,who all underwent bronchial dilation test(BDT)of the large and small airways.Based on smoking history,blood EOS,and FeNO,these patients were divided group A(blood EOS<300/μL+FeNO<35 ppb+smoking history<20 pack-years),group B(blood EOS<300/μL+FeNO<35 ppb+smoking history≥20 pack-years),group C(blood EOS≥300/μL or FeNO≥35 ppb+smoking history≥20 pack-years),and group D(blood EOS≥300/μL or FeNO≥35 ppb+smoking history<20 pack-years)for analyzing the relationship between clinical indexes and BDR.Results BDR evaluation based on forced expiratory volume in 1 second(FEV1),forced vital capacity(FVC),and maximum mid-expiratory flow(MMEF)yielded consistent results,all showing a younger mean age,higher FeNO levels,and higher blood EOS counts and percentages in patients positive for BDT(P<0.05).The improvement value and improvement rate of FEV1 were significantly lower in group A than in group D.The improvement value and improvement rate of FEV1 as well as the improvement rate of MMEF were significantly lower in group B than in group D.In the overall patients,age and FeNO were significantly correlated with the improvement value and improvement rate of FEV1 and the improvement rate of MMEF(P<0.05).Conclusion Type 2 inflammation markers have different effects on BDR in the large and small airways of COPD patients,and their clinical significance needs further investigation.

Objective To investigate the value of serum amyloid A4(SAA4)and suppressor of cytokine signaling 1(SOCS1)in the early differential diagnosis of spinal tuberculosis(STB)and pyogenic spondylitis(PS).Methods The clinical information from STB patients(STB group,n=62)and PS patients(PS group,n=52)who visited the First Affiliated Hospital of Xinxiang Medical College from January 2019 to June 2021 were collected,and anoth-er 50 healthy individuals from examinations clinic in the same period were taken as the control group.Enzyme linked immunosorbent assay(ELISA)was applied to measure the expression of serum SAA4 and SOCS1;Logistic regression was applied to analyze the influencing factors of identifying STB and PS;Receiver operating characteristic(ROC)curve was applied to analyze the differential value of serum SAA4 and SOCS1 for STB and PS.Results Compared with the control group,serum SAA4 level was increased and SOCS1 level decreased in patients from STB and PS groups(P＜0.05),while the level of SAA4 and SOCS1 in the STB group was higher than those in the PS group(P＜0.05);Logistic regression analysis showed that serum SAA4,and SOCS1 were predictive fac-tors for distinguishing STB from PS(P＜0.05);ROC curve results showed that the area under the curve(AUC)of SAA4 and SOCS1 for distinguishing STB and PS separately was 0.833 and 0.872 with sensitivity of 75.8%and 75.8%and specificity as 65.1%and 66.9%respectively.The AUC of the combination of STB and PS was 0.947,with sensitivity and specificity of 88.7%and 78.0%respectively and the AUC identified by the combination of the two was obviously higher than that identified by SAA4 and SOCS1 alone(Z=2.683,2.015,P＜0.05).Conclusions The serum levels of SAA4 and SOCS1 in STB patients are significantly higher than those in PS patients and both can be used as early differential indicators for STB and PS.Combined measurement can improve the effectiveness of differential diagnosis.

Objective: Idiopathic intracranial hypertension (IIH) is a condition of unknown etiology associated with venous sinus stenosis. This study aimed to develop a magnetic resonance venography (MRV)-based radiomics model for predicting a high trans-stenotic pressure gradient (TPG) in IIH patients diagnosed with venous sinus stenosis. Materials and Methods: This retrospective study included 105 IIH patients (median age [interquartile range], 35 years [27– 42 years]; female:male, 82:23) who underwent MRV and catheter venography complemented by venous manometry. Contrast enhanced-MRV was conducted under 1.5 Tesla system, and the images were reconstructed using a standard algorithm. Shape features were derived from MRV images via the PyRadiomics package and selected by utilizing the least absolute shrinkage and selection operator (LASSO) method. A radiomics score for predicting high TPG (≥ 8 mmHg) in IIH patients was formulated using multivariable logistic regression; its discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC). A nomogram was constructed by incorporating the radiomics scores and clinical features. Results: Data from 105 patients were randomly divided into two distinct datasets for model training (n = 73; 50 and 23 with and without high TPG, respectively) and testing (n = 32; 22 and 10 with and without high TPG, respectively). Three informative shape features were identified in the training datasets: least axis length, sphericity, and maximum three-dimensional diameter.The radiomics score for predicting high TPG in IIH patients demonstrated an AUROC of 0.906 (95% confidence interval, 0.836– 0.976) in the training dataset and 0.877 (95% confidence interval, 0.755–0.999) in the test dataset. The nomogram showed good calibration. Conclusion Our study presents the feasibility of a novel model for predicting high TPG in IIH patients using radiomics analysis of noninvasive MRV-based shape features. This information may aid clinicians in identifying patients who may benefit from stenting.

Objective To evaluate the effect of body mass index (BMI) on early prognosis of the recipients after lung transplantation. Methods Clinical data of 307 lung transplant recipients were retrospectively analyzed. According to preoperative BMI, all recipients were divided into the low (BMI <18.5 kg/m², n=114), normal (18.5 kg/m²≤BMI <24 kg/m², n=145) and high (BMI≥24.0 kg/m², n=48) BMI groups, respectively. Baseline data including age, sex, blood type, BMI, preoperative complications, preoperative pulmonary hypertension, and intraoperative use of extracorporeal membrane oxygenation (ECMO) of all recipients were compared among three groups. The survival rate of all recipients was estimated by Kaplan-Meier curve and the survival curve was delineated. The differences of survival rate were analyzed by log-rank test. The 30-, 90- and 180-d mortality risk of all recipients after lung transplantation in different BMI groups was compared by multivariate Cox regression analysis. Results There were significant differences in age and sex of recipients among three groups (both P<0.05). There was a significant difference regarding the 180-d survival rate after lung transplantation among different BMI groups (P<0.05). Multivariate Cox regression analysis showed that the 90-d mortality risk after lung transplantation in the high BMI group was 2.295 times higher than that in the normal BMI group [hazard ratio (HR) 2.295, 95% confidence interval (CI) 1.064-4.947, P=0.034]. In the high BMI group, the 180-d mortality risk after lung transplantation was 2.783 times higher compared with that in the normal BMI group (HR 2.783, 95%CI 1.333-5.810, P=0.006), and the 180-d mortality risk in the low BMI group was 2.181 times higher than that in the normal BMI group (HR 2.181, 95%CI 1.124-4.232, P=0.021). Conclusions Compared with the recipients with normal BMI, their counterparts with high and low preoperative BMI have higher mortality risk early after lung transplantation. Adjusting preoperative BMI to normal range contributes to improving early prognosis of lung transplant recipients.

Objective:To investigate the surgical method and clinical effects of the modified proper digital artery island flap in repairing complex fingertip defects.Methods:A retrospective observational study was conducted. From January 2017 to December 2021, 15 patients (15 fingers) with complex fingertip defects, involving the pulp, nail bed, and lateral wall of the nail, who met the inclusion criteria were admitted into General Hospital of Northern Theater Command, including 11 males and 4 females, aged from 18 to 55 years. The area of the post debridement wound was from 2.5 cm×2.0 cm to 3.5 cm×3.5 cm, and all the wounds were repaired by using modified proper digital artery island flap (including 3 parts: main flap, tongue-shaped flap, and triangular flap), of which the main flap was used to cover the finger pulp defect, the tongue-shaped flap was used to cover the nail bed and the nail lateral wall defect, and the triangular flap was inserted into the edge of the finger pulp wound to cover the vessel pedicle. The range of the flap ranged from 3.0 cm×2.0 cm to 4.5 cm×3.0 cm. The wound at the donor site was repaired with full-thickness skin graft of the groin, and the donor site of the skin graft was sutured directly. After operation, the survival of the flap and skin graft as well as and the appearance of the affected finger were observed. During the follow-up, the fingertip morphology of the affected finger was observed, two-point discrimination distance of the affected finger pulp was measured, and the patients' satisfaction with the efficacy (including very satisfied, satisfied, and dissatisfied) was asked, and the affected finger function was evaluated by the total active movement (TAM) system evaluation standard recommended by American Academy for Surgery of Hand.Results:After operation, the main flaps and skin grafts in 15 patients all survived; but the incision at the edge of tongue-shaped flap in one patient healed poorly, and one patient developed venous stasis at the distal end of the tongue-shaped flap; the triangular flap at the pedicle was slightly bloated in the early postoperative period and became smooth after 2 to 3 months. Overall, two patients developed subcutaneous hematoma in their flaps. All the complications were healed by appropriate dressing change, suture removal, or compression bandaging. After operation, the appearance of the flap was full and formed a prominent fingertip shape. During the follow-up of 6 months to 5 years, the fingertips of the affected fingers were prominent and full; the two-point discrimination distance of the affected finger pulp was (8.6±1.4) mm; 8 patients were very satisfied with the efficacy, 6 patients were satisfied, and one patient was dissatisfied; the functional assessment of the affected fingers were all excellent.Conclusions:The modified proper digital artery island flap can repair complex fingertip defects involving the pulp, nail bed, and lateral wall of the nail. The operation is simple, and the shape and function of the fingertip are good after surgery.

OBJECTIVE: To compare the clinical effects of interactive dynamic scalp acupuncture (IDSA), simple combination therapy (SCT), and traditional scalp acupuncture (TSA) on cognitive function, depression and anxiety in patients with post-stroke cognitive impairment. METHODS: A total of 660 patients with post-stroke cognitive impairment who were admitted to 3 hospitals in Shenzhen City between May 2017 and May 2020 were recruited and randomly assigned to the IDSA (218 cases), SCT (222 cases) and TSA groups (220 cases) according to a random number table. All the patients received conventional drug therapy for cerebral stroke and exercise rehabilitation training. Scalp acupuncture and computer-based cognitive training (CBCT) were performed simultaneously in the IDSA group, but separately in the morning and in the afternoon in the SCT group. The patients in the TSA group underwent scalp acupuncture only. The course of treatment was 8 weeks. Before treatment (M0), 1 (M1) and 2 months (M2) after treatment, as well as follow-up at 1 (M3) and 2 months (M4), the cognitive function of patients was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment Scale (MoCA) Scales; depression, anxiety, sleep quality, and self-care ability of patients were assessed using Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), Pittsburgh Sleep Quality Index (PSQI), and Modified Barthel Index (MBI), respectively. During this trial, all adverse events (AEs) were accurately recorded. RESULTS: There were no significant differences in the MMSE, MoCA, HAMD, HAMA, PSQI, and MBI scores among the 3 groups at M0 (all P>0.05). In the IDSA group, the MMSE, MoCA and MBI scores from M2 to M4 were significantly higher than those in the SCT and TSA groups, while the HAMD, HAMA and PSQI scores were significantly reduced (all P<0.01). The changes of all above scores (M2-M0, M4-M0) were significantly superior to those in the SCT and TSA groups (all P<0.01, except M4-M0 of HAMD). At M2, the severity of MMSE, HAMD, HAMA, PSQI and MBI in the IDSA group was significantly lower than that in the SCT and TSA groups (all P<0.01). There was no serious AE during this trial. CONCLUSIONS IDSA can not only significantly improve cognitive function, but also reduce depression, anxiety, which finally improves the patient's self-care ability. The effect of IDSA was significantly better than SCT and TSA. (Trial registration No. ChiCTR1900027206).
Acupuncture Therapy ; Anxiety/therapy* ; Cognition ; Depression/therapy* ; Humans ; Scalp ; Sleep Quality ; Stroke/therapy* ; Treatment Outcome

OBJECTIVE: To evaluate the effects of interactive dynamic scalp acupuncture (IDSA), simple combination therapy (SCT), and traditional scalp acupuncture (TSA) on motor function and gait of the lower limbs in post-stroke hemiplegia patients. METHODS: A total of 231 patients with post-stroke hemiplegia was randomly divided into IDSA (78 cases), SCT (78 cases), and TSA (75 cases) groups by a random number table. Scalp acupuncture (SA) and lower-limb robot training (LLRT) were both performed in the IDSA and SCT groups. The patients in the TSA group underwent SA and did not receive LLRT. The treatment was administered once daily and 6 times weekly for 8 continuous weeks, each session lasted for 30 min. The primary outcome measures included Fugl-Meyer assessment of the lower extremity (FMA-LE), berg balance scale (BBS), modified barthel index (MBI), and 6-min walking test (6MWT). The secondary outcome measures included stride frequency (SF), stride length (SL), stride width (SW), affected side foot angle (ASFA), passive range of motion (PROM) of the affected hip (PROM-H), knee (PROM-K) and ankle (PROM-A) joints. The patients were evaluated before treatment, at 1- and 2-month treatment, and 1-, and 2-month follow-up visits, respectively. Adverse events during 2-month treatment were observed. RESULTS: Nineteen patients withdrew from the trial, with 8 in the IDSA and 5 in the SCT groups, 6 in the TSA group. The FMA-LE, BBS, 6MWT and MBI scores in the IDSA group were significantly increased after 8-week treatment and 2 follow-up visits compared with the SCT and TSA groups (P<0.05 or P<0.01). Compared with pre-treatment, the grade distribution of BBS and MBI scores in the 3 groups were significantly improved at 1, 2-month treatment and 2 follow-up visits (P<0.05 or P<0.01). The SF, PROM-H, PROM-K and PROM-A in the IDSA group was significantly increased compared with the SCT and TSA groups after 8-week of treatment (P<0.05 or P<0.01). Compared with the SCT group, ASFA of the IDSA group was significantly reduced after 8-week of treatment (P<0.05). SF, SL, PROM-K and PROM-A were significantly increased at the 2nd follow-up visit whereas the ASFA was significantly reduced in the IDSA group compared with the SCT groups at 1st follow-up visit (P<0.05 or P<0.01). The SF was significantly increased in the SCT group compared with the TSA group after 8-week treatment (P<0.05). Compared with the TSA group, PROM-K, PROM-A were significantly increased at the 2nd follow-up visit (P<0.05). CONCLUSIONS The effects of IDSA on lower-limb motor function and walking ability of post-stroke patients were superior to SCT and TSA. The SCT was comparable to TSA treatment, and appeared to be superior in improving the motion range of the lower extremities. (Registration No. ChiCTR1900027206).
Acupuncture Therapy ; Gait ; Hemiplegia/therapy* ; Humans ; Lower Extremity ; Scalp ; Stroke/therapy* ; Stroke Rehabilitation ; Treatment Outcome

Objective:To investigate the value of a preoperatively MRI-based deep learning (DL) radiomics machine learning model to distinguish low-grade and high-grade soft tissue sarcomas (STS).Methods:From November 2007 to May 2019, 151 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled as training sets, and 131 patients in the Affiliated Hospital of Shandong First Medical University and the Third Hospital of Hebei Medical University were enrolled as external validation sets. According to the French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) system, 161 patients with FNCLCC grades Ⅰ and Ⅱ were defined as low-grade and 121 patients with grade Ⅲ were defined as high-grade. The hand-crafted radiomic (HCR) and DL radiomic features of the lesions were extracted respectively. Based on HCR features, DL features, and HCR-DL combined features, respectively, three machine-learning models were established by decision tree, logistic regression, and support vector machine (SVM) classifiers. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each machine learning model and choose the best one. The univariate and multivariate logistic regression were used to establish a clinical-imaging factors model based on demographics and MRI findings. The nomogram was established by combining the optimal radiomics model and the clinical-imaging model. The AUC was used to evaluate the performance of each model and the DeLong test was used for comparison of AUC between every two models. The Kaplan-Meier survival curve and log-rank test were used to evaluate the performance of the optimal machine learning model in the risk stratification of progression free survival (PFS) in STS patients.Results:The SVM radiomics model based on HCR-DL combined features had the optimal predicting power with AUC values of 0.931(95%CI 0.889-0.973) in the training set and 0.951 (95%CI 0.904-0.997) in the validation set. The AUC values of the clinical-imaging model were 0.795 (95%CI 0.724-0.867) and 0.615 (95%CI 0.510-0.720), and of the nomogram was 0.875 (95%CI 0.818-0.932) and 0.786 (95%CI 0.701-0.872) in the training and validation sets, respectively. In validation set, the performance of SVM radiomics model was better than those of the nomogram and clinical-imaging models ( Z=3.16, 6.07; P=0.002,<0.001). Using the optimal radiomics model, there was statistically significant in PFS between the high and low risk groups of STS patients (training sets: χ2=43.50, P<0.001; validation sets: χ2=70.50, P<0.001). Conclusion:Preoperative MRI-based DL radiomics machine learning model has accurate prediction performance in differentiating the histopathological grading of STS. The SVM radiomics model based on HCR-DL combined features has the optimal predicting power and was expected to undergo risk stratification of prognosis in STS patients.