ObjectiveTo explore the relationship between negative life events and depression severity in adolescent patients with depressive disorder， as well as the chain mediating role of insomnia symptoms and quality of life. Methods374 outpatient patients and hospitalized patients with adolescent depressive disorders were enrolled. The Adolescent Life Event Scale （ASLEC）， the Insomnia Severity Index （ISI）， the World Health Organization Quality of Life Questionnaire Short Form （WHOQOL-BREF）， and the Center for Epidemiology Depression Scale （CES-D） were used to evaluate the negative life event situation， insomnia symptoms， quality of life level and depression severity of the subjects， respectively. In addition， the PROCESS 4.0 macroprogram was used to analyze the chain mediating effect of insomnia symptoms and quality of life between negative life events and depression severity in patients with adolescent depressive disorder. ResultsThe results of correlation analysis showed that there was a significant correlation between negative life events and insomnia symptoms， quality of life， and depression severity （all P<0.05）. In addition， the results of chain mediation showed that negative life events had a significant direct effect on depression severity， with an effect size of 0.12 （P<0.001）. Insomnia symptoms and quality of life played a mediating role in the relationship between negative life events and depression severity in patients with adolescent depressive disorders， with indirect effect sizes of 0.062 （95%CI： 0.040-0.087） and 0.091 （95%CI： 0.059-0.123）， respectively. It could also play a chain mediation role， and the effect size was 0.039 （95%CI： 0.024-0.057）. ConclusionNegative life events experienced by patients with adolescent depressive disorder not only directly affect the severity of depressive symptoms， but may also indirectly exacerbate depression through insomnia symptoms and quality of life.

Objective To investigate the causes of the abnormally elevated gross α and gross β activity concentrations in the water of Nanbei Lake located near the Qinshan Nuclear Power Plant. Methods Water and sediment samples were measured according to GB/T 5750.13-2023 Standard Examination Methods for Drinking Water. Results The gross α activity concentration in Nanbei Lake water was (0.135 ± 0.0108) Bq/L, and the gross β activity concentration was 0.345 ± 0.036 Bq/L, which were several times higher than those recorded during the same period in previous years. The spike recovery rates for Nanbei Lake water (gross α: 85.7% ± 4.7%; gross β: 101.8% ± 4.1%) showed no significant differences from those for tap water (gross α: 83.2% ± 3.6%; gross β: 105.1% ± 5.2%). Gross α activity concentration exhibited a positive correlation with sediment addition (r = 0.996), as did gross β activity concentration (r = 0.998). The gross α and gross β activity concentrations in sediments from Nanbei Lake were significantly higher than those in sediments from surrounding water bodies. The gross α (529 ± 41)Bq/L and gross β (927 ± 83)Bq/L activity concentrations in the residue retained on a 0.45 μm filter after filtering Nanbei Lake water were similar to those in the sediments of Nanbei Lake (gross α: (516 ± 35) Bq/L; gross β: (965 ± 68) Bq/L). Conclusion The elevated gross α and gross β activity concentrations in Nanbei Lake water could be attributed to dredging activities, which resuspended sediments into the water column, combined with the inherently high activity concentrations in the sediments.

BACKGROUND:Facet joint osteoarthritis is acknowledged as a significant contributor to lower back pain in the geriatric population.The advent of an innovative spinal facet joint fusion device presents a therapeutic option for intervening during the initial stages of facet joint osteoarthritis,and significantly reduces the incidence of a series of complications caused by poor early conservative treatment and late surgical treatment.However,its effect on the biomechanics of the lumbar spine is unknown.OBJECTIVE:To investigate the biomechanical disparities between the novel lumbar zygapophyseal joint fusion device and traditional fusion devices.METHODS:A comprehensive three-dimensional finite element model of the L3-S1 lumbar spine was established and validated.Based on this intact model,three groups of surgical models were constructed:a bilateral pedicle screw fixation model,a bilateral novel facet joint fusion fixation model,and a bilateral facet screw fixation model,with the surgical segment designated as L4-5.Under a load of 500 N,a torque of 7.5 Nm was applied to all lumbar models to calculate the range of motion,displacement values,and intervertebral disc stress values at the L4-5 segment;stress values at the L3-4 and L5-S1 segments were also measured.RESULTS AND CONCLUSION:(1)Compared with the intact model,the range of motion at the L4-5 segment was reduced in all surgical models.(2)The novel device exhibited the smallest range of motion at the L4-5 segment under left and right rotational conditions;the greatest range of motion at the L4-5 segment under extension conditions;and a greater range of motion under other conditions than the bilateral pedicle screw fixation model.(3)The novel device demonstrated the smallest displacement values at the L4-5 segment under left and right rotational conditions;under other conditions,the displacement values at the L4-5 segment were greater than those in the bilateral pedicle screw fixation model.(4)In terms of stress distribution at the L4-5 segment,the novel device consistently exhibited the smallest values across all conditions.(5)For the L3-4 segment,the novel device showed the greatest stress values under extension and left and right rotational conditions,while under other conditions,the values were lower than those in the bilateral pedicle screw fixation model.(6)Compared with pedicle screw fixation,the novel device produced smaller stress values at the L5-S1 segment.(7)This study indicates that,compared with pedicle screw fixation,the novel device impacts the biomechanics of the lumbar spine by fusing the facet joints.It provides stability while preserving the range of motion at the surgical segment and reduces stress on the intervertebral discs of the surgical and adjacent segments,thereby potentially delaying disc degeneration.This suggests that the novel device can achieve biomechanical effects similar to those of pedicle screw fixation in theory.

Systemic inflammatory response (SIR) evoked by cardiopulmonary bypass (CPB) is still one of the major causes of postoperative multiple organs injuries. Since the concentrations of circulating inflammatory factors are positively associated with postoperative adverse events, removal or inhibition of inflammatory factors are considered as effective treatments to improve outcomes. After more than 20 years of research, however, the results are disappointed as neither neutralization nor removal of circulating inflammatory factors could reduce adverse events. Therefore, the role of circulating inflammatory factors in CPB-related organs injuries should be reconsidered in order to find effective therapies. Here we reviewed the association between circulating inflammatory factors and the outcomes, as well as the current therapies, including antibody and hemadsorption. Most importantly, the role of circulating inflammatory factors in SIR was reviewed, which may be helpful to develop new measures to prevent and treat CPB-related organs injuries.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Contralateral radiculopathy, a postoperative complication after transforaminal lumbar interbody fusion, refers to postoperative numbness, pain and other neurological symptoms of the lower limb on the side opposite to the symptomatic or the surgical decompression side. Its main causes include excessive restoration of lordosis, intervertebral space tilt caused by improper cage position, poor screw position, new protrusion of nucleus pulposus or bone graft, and hematoma. At present, attention to this complication is gradually increasing. This review summarizes its risk factors from the recent related reports of the condition and puts forward preventive measures in order to promote the preventive awareness of this complication.

BackgroundNon-suicidal self-injury （NSSI） represents a prevalent clinical feature among adolescent patients with major depressive disorder. Existing research has suggested that interoceptive awareness might be linked to NSSI behaviors， but investigations into this association among adolescent patients with major depressive disorders remain limited. ObjectiveTo elucidate the correlation between NSSI behaviors and interoceptive awareness in adolescent patients with major depressive disorder， and to identify influencing factors of NSSI behaviors， in order to provide clinical prevention and treatment strategies. MethodsA total of 125 adolescent patients who met the diagnostic criteria for major depressive disorder as outlined in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited from the Fourth People's Hospital of Hefei from December 2022 to June 2024. These participants were subsequentially categorized into NSSI behavior group （n=60） and non-NSSI behavior group （n=65） based on the presence or absence of NSSI behaviors. Additionally， a control group comprising 40 healthy adolescents was concurrently assembled for comparison. The Hamilton Depression Scale-17 item （HAMD-17） was used to assess the depressive symptoms of adolescent patients with major depressive disorder， and the Multidimensional Assessment of Interoceptive Awareness version 2- Chinese （MAIA-2） was used to evaluate the interoceptive awareness level of all subjects. Pearson correlation analysis was employed to examine the correlation between HAMD-17 scores and MAIA-2 scores. Binary Logistic regression analysis was conducted to identify the influencing factors of NSSI behaviors in adolescent patients. Then the receiver operating characteristic （ROC） curve was drawn to verify the predictive efficacy of MAIA-2 scores for NSSI behaviors in adolescent patients with major depressive disorder. ResultsSignificant differences were identified across six MAIA-2 subscales （noticing， not distracting， not worrying， attention regulation， emotional awareness， body listening） and the MAIA-2 total score among the three groups （F=18.475， 20.631， 6.044， 5.621， 18.456， 12.889， 12.741， P<0.01）. Correlation analysis underscored a notable negative correlation between the MAIA-2 total score and the HAMD-17 total score， as well as its scores on subscales pertaining to weight and cognitive impairment factors（r=-0.315， -0.203， -0.278， P<0.05）. Binary Logistic regression results indicated that longer disease duration （OR=1.112， 95% CI： 1.043–1.206） and higher HAMD-17 total score （OR=2.071， 95% CI： 1.361–3.150） were risk factors for NSSI behavior in adolescents with depressive disorder， while a higher MAIA-2 total score was a protective factor against NSSI behavior in this population （OR=0.580， 95% CI： 0.407–0.828）. The MAIA-2 total score demonstrated a relatively high predictive value for NSSI behaviors in adolescent patients with major depressive disorder （AUC=0.793）. ConclusionNSSI behaviors in adolescent patients with major depressive disorder are closely related to the disease course， severity of depression， and specific interoceptive awareness patterns. Moreover， interoceptive awareness may serve as a predictive indicator for the occurrence of their NSSI behaviors. ［Funded by the National Key Clinical Specialty Construction Project of China； Anhui Provincial Clinical Key Specialty Construction Project； the Hospital-Level Scientific Research Project of the Fourth People's Hospital of Hefei （number， HFSY2022YB07）］