Objective:To evaluate the effect of preoperative oral carbohydrate intake on postoperative nausea and vomiting (PONV) in elderly patients undergoing gynecological laparoscopic surgery.Methods:This study was a randomized controlled trial. One hundred elderly patients, aged≥65 yr, with a body mass index of 18-30 kg/m 2, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, who underwent gynecological laparoscopic surgery at the Baoding First Central Hospital from March 2023 to June 2024, were selected. Stratification was conducted by age (65-74 yr/≥75 yr) using an online randomization tool, and the patients were randomly divided into conventional fasting group (group C) and oral carbohydrate group (group P), with 50 cases in each group. Patients took oral carbohydrate drinks of 4 ml/kg at 2 h before operation, with total amount ≤400 ml in group P, while patients received conventional preoperative fasting protocols in group C. The occurrence and severity of PONV within 48 h postoperatively were observed. The visual analogue scale scores for hunger and thirst, State-Trait Anxiety Inventory scale scores, length of stay in the postanesthesia care unit, duration of hospital stay, time to first flatus, time to first ambulation, and patient′s satisfaction were recorded in the two groups. Results:Compared with group C, the incidence and severity of PONV were significantly decreased within 48 h after surgery, the visual analogue scale scores for hunger and thirst and State-Trait Anxiety Inventory scale scores were significantly decreased after entering the operating room, the length of stay in the postanesthesia care unit, time to first flatus and time to first ambulation were significantly shortened, and the patient′s satisfaction was significantly increased in group P ( P<0.05). Conclusions:Oral carbohydrate intake before operation can effectively reduce the occurrence and severity of PONV and improve the quality of postoperative recovery in elderly patients undergoing gynecological laparoscopic surgery.

Objective:To evaluate the effect of continuous theta burst stimulation (cTBS) on postoperative cognitive dysfunction (POCD) in mice and its association with the excitability of parvalbumin (PV) neurons in the medial prefrontal cortex (mPFC).Methods:Twenty-four specific pathogen-free healthy male C57BL/6 mice, aged 8 weeks, weighing 18-24 g, in which adeno-associated virus (AAV) for labeling PV neurons was injected into the mPFC using stereotaxic surgery, were used in this study. Three weeks later, the mice were divided into 3 groups ( n=8 each) using a random number table method: control group (group C), POCD group (group P) and cTBS group. Group C received no treatment. A mouse model of POCD was established by performing tibial fracture surgery under sevoflurane anesthesia and the mice received sham stimulation from postoperative day 0 to day 4 in group P. Group cTBS underwent POCD model establishment and received cTBS stimulation from postoperative day 0 to day 4. Cognitive function was assessed using contextual fear conditioning, Y-maze and novel object recognition tests on postoperative day 5. The spontaneous firing frequency of PV neurons in the mPFC was then measured using ex vivo patch-clamp electrophysiology. Results:The results of contextual fear conditioning test showed that compared to group C, the percentage of freezing time was significantly increased in group P ( P<0.05); compared to group P, the percentage of freezing time was significantly decreased in group cTBS ( P<0.05). The results of Y-maze test showed that compared to group C, the alternation accuracy was significantly decreased in group P ( P<0.05); compared to group P, the alternation accuracy was significantly increased in group cTBS ( P<0.05). The results of novel object recognition test showed that compared to group C, the percentage of time spent exploring the novel object was significantly decreased in group P ( P<0.05); compared to group P, this percentage of time spent exploring the novel object was significantly increased in group cTBS ( P<0.05). The results of ex vivo patch-clamp electrophysiology showed that compared to group C, the spontaneous firing frequency of PV neurons in the mPFC was significantly decreased in group P ( P<0.05); compared to group P, the spontaneous firing frequency of PV neurons in the mPFC was significantly increased in group cTBS ( P<0.05). Conclusions:cTBS can ameliorate POCD in mice, and the mechanism is related to the restoration of excitability of PV neurons in the mPFC.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To evaluate the effect of preoperative oral carbohydrate intake on postoperative nausea and vomiting (PONV) in elderly patients undergoing gynecological laparoscopic surgery.Methods:This study was a randomized controlled trial. One hundred elderly patients, aged≥65 yr, with a body mass index of 18-30 kg/m 2, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, who underwent gynecological laparoscopic surgery at the Baoding First Central Hospital from March 2023 to June 2024, were selected. Stratification was conducted by age (65-74 yr/≥75 yr) using an online randomization tool, and the patients were randomly divided into conventional fasting group (group C) and oral carbohydrate group (group P), with 50 cases in each group. Patients took oral carbohydrate drinks of 4 ml/kg at 2 h before operation, with total amount ≤400 ml in group P, while patients received conventional preoperative fasting protocols in group C. The occurrence and severity of PONV within 48 h postoperatively were observed. The visual analogue scale scores for hunger and thirst, State-Trait Anxiety Inventory scale scores, length of stay in the postanesthesia care unit, duration of hospital stay, time to first flatus, time to first ambulation, and patient′s satisfaction were recorded in the two groups. Results:Compared with group C, the incidence and severity of PONV were significantly decreased within 48 h after surgery, the visual analogue scale scores for hunger and thirst and State-Trait Anxiety Inventory scale scores were significantly decreased after entering the operating room, the length of stay in the postanesthesia care unit, time to first flatus and time to first ambulation were significantly shortened, and the patient′s satisfaction was significantly increased in group P ( P<0.05). Conclusions:Oral carbohydrate intake before operation can effectively reduce the occurrence and severity of PONV and improve the quality of postoperative recovery in elderly patients undergoing gynecological laparoscopic surgery.

Objective:To evaluate the effect of continuous theta burst stimulation (cTBS) on postoperative cognitive dysfunction (POCD) in mice and its association with the excitability of parvalbumin (PV) neurons in the medial prefrontal cortex (mPFC).Methods:Twenty-four specific pathogen-free healthy male C57BL/6 mice, aged 8 weeks, weighing 18-24 g, in which adeno-associated virus (AAV) for labeling PV neurons was injected into the mPFC using stereotaxic surgery, were used in this study. Three weeks later, the mice were divided into 3 groups ( n=8 each) using a random number table method: control group (group C), POCD group (group P) and cTBS group. Group C received no treatment. A mouse model of POCD was established by performing tibial fracture surgery under sevoflurane anesthesia and the mice received sham stimulation from postoperative day 0 to day 4 in group P. Group cTBS underwent POCD model establishment and received cTBS stimulation from postoperative day 0 to day 4. Cognitive function was assessed using contextual fear conditioning, Y-maze and novel object recognition tests on postoperative day 5. The spontaneous firing frequency of PV neurons in the mPFC was then measured using ex vivo patch-clamp electrophysiology. Results:The results of contextual fear conditioning test showed that compared to group C, the percentage of freezing time was significantly increased in group P ( P<0.05); compared to group P, the percentage of freezing time was significantly decreased in group cTBS ( P<0.05). The results of Y-maze test showed that compared to group C, the alternation accuracy was significantly decreased in group P ( P<0.05); compared to group P, the alternation accuracy was significantly increased in group cTBS ( P<0.05). The results of novel object recognition test showed that compared to group C, the percentage of time spent exploring the novel object was significantly decreased in group P ( P<0.05); compared to group P, this percentage of time spent exploring the novel object was significantly increased in group cTBS ( P<0.05). The results of ex vivo patch-clamp electrophysiology showed that compared to group C, the spontaneous firing frequency of PV neurons in the mPFC was significantly decreased in group P ( P<0.05); compared to group P, the spontaneous firing frequency of PV neurons in the mPFC was significantly increased in group cTBS ( P<0.05). Conclusions:cTBS can ameliorate POCD in mice, and the mechanism is related to the restoration of excitability of PV neurons in the mPFC.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To evaluate the analgesic efficacy of supra-inguinal fascia iliac compartment block (S-FICB)in patients with hip fracture.Methods:This study was a single-center, randomized controlled trial. Forty-eight patients who were admitted to the emergency department due to clinically diagnosed femoral neck or intertrochanteric fractures from April to September 2023 were selected. A random sequence was generated using IBM SPSS Statistics 20, and the patients were divided into 2 groups in a 1∶1 ratio( n=24 each): S-FICB group and infra-inguinal fascia iliac compartment block (I-FICB) group. Both groups received nerve blocks under ultrasound guidance, with an injection of 0.25% ropivacaine 40 ml. The primary outcome measure was sufentanil consumption within 24 h post-block. Secondary outcome measures included the distribution of local anesthetic spread as observed on CT at 0.5 h post-block, the extent of hip skin sensory reduction to pinprick, the time to first analgesic pump pressing, the number of effective analgesic pump pressing within 24 h post-block, the Numeric Rating Scale (NRS) score for pain during passive movement at 0.5 h post-block, and the static NRS scores at baseline (pre-block) and at 0.5, 3, 6, 12 and 24 h post-block. Results:Compared to I-FICB group, the consumption of sufentanil was significantly decreased, the coverage of lumbar plexus nerve branches by local anesthetics was increased, NRS scores were decreased during passive movement, the time to the first analgesic pump pressing was prolonged, the number of effective pump pressing was reduced, and static NRS scores were decreased at 24 h post-block in S-FICB group( P<0.01). In I-FICB group, no local anesthetic coverage of the iliohypogastric or ilioinguinal nerves was observed. Neither group showed coverage of the obturator nerve by the local anesthetic. Conclusions:Compared to I-FICB, S-FICB (0.25% ropivacaine 40 ml) provides a wider range of local anesthetic spread and can cover more branches of the lumbar plexus, which exerts better analgesic efficacy in patients with hip fracture. However, neither approach directly blocks the obturator nerve.

Objective:To identify the risk factors for poor prognosis following interventional treatment in the patients with postherpetic neuralgia (PHN) and construct a predictive model.Methods:The medical records from patients with PHN undergoing interventional therapy at the First Affiliated Hospital of Soochow University from March 2020 to August 2023 were retrospectively collected, including basic characteristics, past medical and surgical history, symptoms, medication therapy, clinical pain score, neutrophil/lymphocyte ratio (NLR) before interventional treatment and interventional treatment methods. Logistic regression analysis was used to identify the risk factors associated with poor prognosis following interventional treatment in PHN patients, and a nomogram predictive model for poor prognosis was constructed. The discrimination and calibration of the nomogram predictive model were evaluated using the C-index and Hosmer-Lemeshow test. Calibration curves and clinical decision curves were drawn to further verify the accuracy of the predictive model.Results:The results of the multivariate logistic regression analysis show that increasing age, prolonged disease duration, elevated NLR, use of immunosuppressants and use of pulsed radiofrequency were independent risk factors for poor prognosis following intervention treatment in PHN patients ( P<0.05). The nomogram predictive model for poor prognosis following PHN interventional treatment constructed based on these factors had a C-index of 0.844. Calibration curves showed good consistency between predicted probability of poor prognosis and actual incidence of poor prognosis. Clinical decision curves indicated that the predictive model provided good accuracy and net benefit. Conclusions:Increasing age, prolonged disease course, elevated NLR, use of immunosuppressants and use of pulsed radiofrequency are independent risk factors for poor prognosis following interventional treatment in the patients with PHN. The nomogram predictive model based on these factors can effectively predict the occurrence of poor prognosis in PHN patients undergoing interventional treatment.