Objective:To explore the prognostic value of a combined model of baseline 18F-FDG PET/CT tumor metabolic parameters and clinical factors for predicting progression-free survival (PFS) in Hodgkin′s lymphoma (HL). Methods:From January 2014 to May 2023, 171 HL patients (102 males, 69 females; median age 40 years) who underwent 18F-FDG PET/CT before treatment at the First Affiliated Hospital of Nanjing Medical University and Nanjing Drum Tower Hospital were retrospectively collected. HL patients from the First Affiliated Hospital of Nanjing Medical University were classified as the training set (101 patients) and HL patients from Nanjing Drum Tower Hospital were classified as the validation set (70 patients). Clinical factors and tumor metabolic parameters associated with PFS were determined by multivariate Cox regression analysis, and then the combined model and the independent model of each factor were constructed respectively. The consistency index (C-index) and AUC were used to evaluate the predictive efficacy of models, and nomogram was constructed based on the optimal model, and calibration curves were used to assess the goodness of fit of the models. The differences in Kaplan-Meier survival curves of the high-risk and low-risk groups were compared using log-rank test. Results:The multivariate Cox regression analysis indicated that the independent prognostic factors associated with PFS were the Lugano staging (hazard ratio ( HR)=3.10, 95% CI: 1.17-8.23, P=0.023), total metabolic tumor volume (TMTV) ( HR=2.65, 95% CI: 1.23-5.74, P=0.014), and maximum distance between tumors ( Dmax) ( HR=2.23, 95% CI: 1.02-4.85, P=0.044). These factors were used to construct the combined model, with the highest prognostic efficacy of the C-index for the training and validation sets of 0.692 and 0.653, and the AUC of 0.732 and 0.697, respectively. The calibration curves demonstrated that the predictions made by the combined model were in high agreement with the actual results in both the training and validation sets. The Kaplan-Meier analysis revealed a significantly lower PFS rate in the high-risk group compared to the low-risk group both in training and validation sets ( χ2 values: 5.88 and 4.52, P values: 0.015 and 0.033). Conclusion:The combined model incorporating tumor metabolic parameters and clinical factors improves prognostic efficacy in predicting PFS in HL patients.

Objective:To explore the value of baseline 18F-FDG PET/CT metabolic parameters and related clinical factors in the prognostic assessment of patients with angioimmunoblastic T-cell lymphoma (AITL). Methods:From July 2013 to December 2023, 70 patients with AITL (44 males, 26 females, age (63.9±9.6) years) from Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University (32 cases) as well as the First Affiliated Hospital of Nanjing Medical University (38 cases) who were diagnosed pathologically and underwent PET/CT imaging prior to treatment were retrospectively analyzed. PET/CT metabolic parameters (calculated using the 41%SUV max threshold method) and related clinical factors were collected. The optimal cut-off values of metabolic parameters were determined by using the ROC curve analysis. Cox proportional risk regression models were used for prognostic analyses, prediction models were constructed and efficacies were assessed by calibration curves and time-dependent ROC curves. Results:With the follow-up of 19.0(10.0, 33.3) months, disease progression or recurrence occurred in 51 patients, and 28 patients died. ROC curves showed that the optimal cut-off values on diagnosing AITL of total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), and SUV max were 767.1cm 3, 2159.6g and 13.0, respectively. TMTV (hazard ratio ( HR)=0.485, 95% CI: 0.252-0.935, P=0.031) and gender ( HR=0.441, 95% CI: 0.236-0.824, P=0.010) were independent risk factors for progression-free survival (PFS); TMTV ( HR=0.422, 95% CI: 0.178-0.997, P=0.049) and treatment regimen ( HR=0.346, 95% CI: 0.154-0.777, P=0.010) were independent risk factors for overall survival (OS). Time-dependent ROC curves indicated that the combined model of TMTV combining gender or treatment regimen had better prognostic results in predicting PFS (AUCs: 0.67-0.82) or OS (AUCs: 0.62-0.80) in patients with AITL. The calibration curve showed the predicted values of the combined models were in good consistency with the actual values. Conclusions:The metabolic parameter TMTV is an independent risk factor for PFS and OS in patients with AITL. The combined model of TMTV combining gender or treatment regimen can effectively improve the prognostic prediction efficacy of PFS or OS in patients with AITL.

Objective:To explore the prognostic value of a combined model of baseline 18F-FDG PET/CT tumor metabolic parameters and clinical factors for predicting progression-free survival (PFS) in Hodgkin′s lymphoma (HL). Methods:From January 2014 to May 2023, 171 HL patients (102 males, 69 females; median age 40 years) who underwent 18F-FDG PET/CT before treatment at the First Affiliated Hospital of Nanjing Medical University and Nanjing Drum Tower Hospital were retrospectively collected. HL patients from the First Affiliated Hospital of Nanjing Medical University were classified as the training set (101 patients) and HL patients from Nanjing Drum Tower Hospital were classified as the validation set (70 patients). Clinical factors and tumor metabolic parameters associated with PFS were determined by multivariate Cox regression analysis, and then the combined model and the independent model of each factor were constructed respectively. The consistency index (C-index) and AUC were used to evaluate the predictive efficacy of models, and nomogram was constructed based on the optimal model, and calibration curves were used to assess the goodness of fit of the models. The differences in Kaplan-Meier survival curves of the high-risk and low-risk groups were compared using log-rank test. Results:The multivariate Cox regression analysis indicated that the independent prognostic factors associated with PFS were the Lugano staging (hazard ratio ( HR)=3.10, 95% CI: 1.17-8.23, P=0.023), total metabolic tumor volume (TMTV) ( HR=2.65, 95% CI: 1.23-5.74, P=0.014), and maximum distance between tumors ( Dmax) ( HR=2.23, 95% CI: 1.02-4.85, P=0.044). These factors were used to construct the combined model, with the highest prognostic efficacy of the C-index for the training and validation sets of 0.692 and 0.653, and the AUC of 0.732 and 0.697, respectively. The calibration curves demonstrated that the predictions made by the combined model were in high agreement with the actual results in both the training and validation sets. The Kaplan-Meier analysis revealed a significantly lower PFS rate in the high-risk group compared to the low-risk group both in training and validation sets ( χ2 values: 5.88 and 4.52, P values: 0.015 and 0.033). Conclusion:The combined model incorporating tumor metabolic parameters and clinical factors improves prognostic efficacy in predicting PFS in HL patients.

Objective:To explore the value of baseline 18F-FDG PET/CT metabolic parameters and related clinical factors in the prognostic assessment of patients with angioimmunoblastic T-cell lymphoma (AITL). Methods:From July 2013 to December 2023, 70 patients with AITL (44 males, 26 females, age (63.9±9.6) years) from Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University (32 cases) as well as the First Affiliated Hospital of Nanjing Medical University (38 cases) who were diagnosed pathologically and underwent PET/CT imaging prior to treatment were retrospectively analyzed. PET/CT metabolic parameters (calculated using the 41%SUV max threshold method) and related clinical factors were collected. The optimal cut-off values of metabolic parameters were determined by using the ROC curve analysis. Cox proportional risk regression models were used for prognostic analyses, prediction models were constructed and efficacies were assessed by calibration curves and time-dependent ROC curves. Results:With the follow-up of 19.0(10.0, 33.3) months, disease progression or recurrence occurred in 51 patients, and 28 patients died. ROC curves showed that the optimal cut-off values on diagnosing AITL of total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), and SUV max were 767.1cm 3, 2159.6g and 13.0, respectively. TMTV (hazard ratio ( HR)=0.485, 95% CI: 0.252-0.935, P=0.031) and gender ( HR=0.441, 95% CI: 0.236-0.824, P=0.010) were independent risk factors for progression-free survival (PFS); TMTV ( HR=0.422, 95% CI: 0.178-0.997, P=0.049) and treatment regimen ( HR=0.346, 95% CI: 0.154-0.777, P=0.010) were independent risk factors for overall survival (OS). Time-dependent ROC curves indicated that the combined model of TMTV combining gender or treatment regimen had better prognostic results in predicting PFS (AUCs: 0.67-0.82) or OS (AUCs: 0.62-0.80) in patients with AITL. The calibration curve showed the predicted values of the combined models were in good consistency with the actual values. Conclusions:The metabolic parameter TMTV is an independent risk factor for PFS and OS in patients with AITL. The combined model of TMTV combining gender or treatment regimen can effectively improve the prognostic prediction efficacy of PFS or OS in patients with AITL.

Objective:To investigate the depersonalization status and to analyze the effect of workplace incivility perception, intrusive rumination and fear of negative evaluation on depersonalization in clinical nurses.Methods:In May 2019, 10 cities were selected as sampling cities by the method of grabbing random ball in Henan Province and Fujian Province. Using the stratified sampling, clinical nurses were selected as the research objects for a questionnaire survey in 22 tertiary hospitals and 23 secondary hospitals, included 1200 nurses. A total of 1200 questionnaires were issued and collected, and 1159 valid questionnaires were collected with effective recovery of 96.6%. Clinical nurses were investigated by Workplace Incivility Scale, Event Related Rumination Inventory, Fear of Negative Evaluation Scale, Maslach Burnout Inventory-General Survey. The demographic characteristics of nurses' depersonalization were compared and analyzed with t test and single factor analysis of variance. The influence mechanism of workplace incivility perception, intrusive rumination and fear of negative evaluation on depersonalization was analyzed with Bootstrap. Results:Depersonalization scores were (9.3±2.6) points, 467 of those had depersonalization symptoms in clinical nurses (40.3%). The scores of depersonalization of those with <3 years of service [ (10.5±2.9) points] was higher than those with 3-10 years [ (9.1±2.8) points] and 11-31 years [ (9.0±2.9) points]. The scores of depersonalization of those with monthly earning of <3000 yuan [ (10.1±2.8) points] was higher than those with 3000-7999 yuan [ (8.4±2.7) points] and 8000-12000 yuan [ (8.0±2.9) points]. The scores of depersonalization of clinical nurses in surgical departments [ (10.0±2.9) points] was higher than those in non-surgical departments [ (8.7±2.6) points]. The scores of depersonalization of clinical nurses in tertiary hospitals [ (10.0±2.7) points] was higher than those in secondary hospitals [ (8.6±2.8) points]. The differences were statistically significant ( P<0.05). Workplace incivility perception affected depersonalization through the single mediating role of intrusive rumination, fear of negative evaluation and the chain mediating role of intrusive rumination and fear of negative evaluation ( β=0.16, 0.17, 0.07, 95% CI: 0.15-0.20, 0.15-0.21, 0.03-0.09, P<0.05) . Conclusion:Workplace incivility perception directly or through the independent mediating effects of intrusive rumination or fear of negative evaluation, and the chain mediating effects of intrusive rumination and fear of negative evaluation influences the depersonalization of clinical nurses.

Objective:To investigate the depersonalization status and to analyze the effect of workplace incivility perception, intrusive rumination and fear of negative evaluation on depersonalization in clinical nurses.Methods:In May 2019, 10 cities were selected as sampling cities by the method of grabbing random ball in Henan Province and Fujian Province. Using the stratified sampling, clinical nurses were selected as the research objects for a questionnaire survey in 22 tertiary hospitals and 23 secondary hospitals, included 1200 nurses. A total of 1200 questionnaires were issued and collected, and 1159 valid questionnaires were collected with effective recovery of 96.6%. Clinical nurses were investigated by Workplace Incivility Scale, Event Related Rumination Inventory, Fear of Negative Evaluation Scale, Maslach Burnout Inventory-General Survey. The demographic characteristics of nurses' depersonalization were compared and analyzed with t test and single factor analysis of variance. The influence mechanism of workplace incivility perception, intrusive rumination and fear of negative evaluation on depersonalization was analyzed with Bootstrap. Results:Depersonalization scores were (9.3±2.6) points, 467 of those had depersonalization symptoms in clinical nurses (40.3%). The scores of depersonalization of those with <3 years of service [ (10.5±2.9) points] was higher than those with 3-10 years [ (9.1±2.8) points] and 11-31 years [ (9.0±2.9) points]. The scores of depersonalization of those with monthly earning of <3000 yuan [ (10.1±2.8) points] was higher than those with 3000-7999 yuan [ (8.4±2.7) points] and 8000-12000 yuan [ (8.0±2.9) points]. The scores of depersonalization of clinical nurses in surgical departments [ (10.0±2.9) points] was higher than those in non-surgical departments [ (8.7±2.6) points]. The scores of depersonalization of clinical nurses in tertiary hospitals [ (10.0±2.7) points] was higher than those in secondary hospitals [ (8.6±2.8) points]. The differences were statistically significant ( P<0.05). Workplace incivility perception affected depersonalization through the single mediating role of intrusive rumination, fear of negative evaluation and the chain mediating role of intrusive rumination and fear of negative evaluation ( β=0.16, 0.17, 0.07, 95% CI: 0.15-0.20, 0.15-0.21, 0.03-0.09, P<0.05) . Conclusion:Workplace incivility perception directly or through the independent mediating effects of intrusive rumination or fear of negative evaluation, and the chain mediating effects of intrusive rumination and fear of negative evaluation influences the depersonalization of clinical nurses.

Objective:To explore the value of baseline PET/CT parameters for predicting prognosis in patients with double-expression lymphoma (DEL).Methods:The clinical and 18F-FDG PET/CT data of 118 patients (66 males, 52 females; age: 28-85 years) with diffuse large B-cell lymphoma (DLBCL) diagnosed in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University and the First Affiliated Hospital of Nanjing Medical University from June 2015 to September 2022 were retrospectively analyzed. The optimal thresholds for SUV max, total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) in predicting overall survival (OS) rate were determined using ROC curve analysis. Univariate and multivariate analyses, along with Kaplan-Meier survival analysis were performed to construct a survival prediction model. The effect of the model was evaluated by the calibration curve for the model, the time-dependent ROC curve analysis and decision curve analysis. Results:As of the last follow-up, 25 patients died, and the OS rate was 78.8%(93/118). The AUC of the ROC curve for TMTV was 0.705, with a corresponding optimal threshold of 230.9 cm 3. In multivariate analysis, Eastern Cooperative Oncology Group performance status (ECOG PS) score (hazard ratio ( HR)=3.886, 95% CI: 1.455-10.375; P=0.007) and TMTV ( HR=4.649, 95% CI: 1.665-12.979; P=0.003) were identified as independent predictors of OS. The combined model of ECOG PS score and TMTV was superior to ECOG PS score model and TMTV model alone in predicting OS. Conclusion:TMTV, a metabolic indicator, and ECOG PS score, a clinical risk factor, are independent predictors of OS in patients with DEL, and their combination can provide more accurate prognostic predictions.

Neurogenesis decline in hippocampal dentate gyrus (DG) participates in stress-induced depressive-like behaviors, but the underlying mechanism remains poorly understood. Here, we observed low-expression of NOD-like receptor family pyrin domain containing 6 (NLRP6) in hippocampus of stress-stimulated mice, being consistent with high corticosterone level. NLRP6 was found to be abundantly expressed in neural stem cells (NSCs) of DG. Both Nlrp6 knockout (Nlrp6^-/-) and NSC-conditional Nlrp6 knockout (Nlrp6CKO) mice were susceptible to stress, being more likely to develop depressive-like behaviors. Interestingly, NLRP6 was required for NSC proliferation in sustaining hippocampal neurogenesis and reinforcing stress resilience during growing up. Nlrp6 deficiency promoted esophageal cancer-related gene 4 (ECRG4) expression and caused mitochondrial dysfunction. Corticosterone as a stress factor significantly down-regulated NLRP6 expression, damaged mitochondrial function and suppressed cell proliferation in NSCs, which were blocked by Nlrp6 overexpression. ECRG4 knockdown reversed corticosterone-induced NSC mitochondrial function and cell proliferation disorders. Pioglitazone, a well-known clinical drug, up-regulated NLRP6 expression to inhibit ECRG4 expression in its protection against corticosterone-induced NSC mitochondrial dysfunction and proliferation restriction. In conclusion, this study demonstrates that NLRP6 is essential to maintain mitochondrial homeostasis and proliferation in NSCs, and identifies NLRP6 as a promising therapeutic target for hippocampal neurogenesis decline linked to depression.

Objective To explore the current status of emotional exhaustion among clinical nurses and its relationship with work stress, thought suppression, difficulties in emotion regulation. Methods A totally of 1 159 clinical nurses from 10 cities in Henan Province and Fujian Province were enrolled as the research subjects using grabbing random balls method. And their status of work stress, thought suppression, difficulties in emotion regulation and emotional exhaustion were investigated by Depression-Anxiety-Stress Scale, White Bear Suppression Inventory, Brief Version of the Difficulties in Emotion Regulation Scale and Emotional Exhaustion Scale. Results The scores for work stress, thought suppression, difficulties in emotion regulation, emotional exhaustion were (23.5±3.8), (47.4±6.5), (54.1±7.2), (11.7±4.2), respectively. Among them, 40.0% of nurses experienced emotional exhaustion. Bootstrap analysis results showed that work stress positively affected emotional exhaustion among clinical nurses [standardized partial regression coefficient (β)=0.42, 95% confidence intervals (CI)： 0.36-0.44］. Work stress affected emotional exhaustion through thought suppression (β=0.16, 95%CI： 0.14-0.20), difficulties in emotion regulation (β=0.16, 95%CI： 0.14-0.19), and the chain mediating role of thought suppression and difficulties in emotion regulation (β=0.07, 95%CI： 0.04-0.09). Conclusion Emotional exhaustion symptoms are prevalent among clinical nurses. Work stress directly and indirectly influences thought suppression, difficulties in emotion regulation and emotional exhaustion of nurses.

Objective: To study the relationship between compassion fatigue and workplace psychological violence, alexithymia, and empathy in clinical nurses. Methods: A total of 1 159 clinical nurses from 10 cities in Henan and Fujian Provinces were enrolled using the method of grabbing random balls. Questionnaires including Workplace Psychologically Violent Behaviors Instrument, the Toronto Alexithymia Scale, Jefferson Scale of Empathy Health Professionals, Professional Quality of Life Scale were used to investigate the status of workplace psychological violence, alexithymia, empathy, and compassion fatigue in participants. Bootstrap analysis was used to analyze the relationship between workplace psychological violence, alexithymia, empathy, and compassion fatigue scores. Results: The average score for workplace psychological violence among clinical nurses was (26.2±6.5), with 405 nurses (34.9%) having experienced workplace psychological violence. The scores for alexithymia, empathy and compassion fatigue were (58.3±12.3), (104.3±18.6) and (48.5±6.7) respectively. Mild compassion fatigue was detected in 34.9% of participants, while moderate to severe compassion fatigue accounted for 48.8%. Bootstrap test result showed that workplace psychological violence had a positive impact on compassion fatigue ［standardized effect value (β)=0.40, 95% confidence interval(CI)： 0.35-0.44］. Workplace psychological violence had separate mediating effects through alexithymia (β=0.15, 95%CI： 0.10-0.19), empathy (β=0.16, 95%CI： 0.10-0.21) , and a chain mediating effect through alexithymia and empathy on compassion fatigue (β=0.06, 95%CI： 0.03-0.09). Conclusion: Compassion fatigue symptoms are relatively common among clinical nurses. Experiencing workplace psychological violence directly affects compassion fatigue and can indirectly affect it through the mediating effects of alexithymia and empathy.