Objective To investigate the current status of symptom burden and psychological distress among lung cancer patients in the diagnostic phase, and to explore the chain mediating role of social support and resilience between symptom burden and psychological distress. Methods The patients with lung cancer in the diagnostic phase who were treated in the Department of Thoracic Surgery of the Second Xiangya Hospital of Central South University from October 2022 to June 2023 were investigated by a general information questionnaire using the MD Anderson Symptom Inventory, the Social Support Rating Scale, the Connor-Davidson Resilience Scale, and the Distress Thermometer. The chain mediating role of social support and resilience between symptom burden and psychological distress was analyzed. Results A total of 413 lung cancer patients were enrolled, including 173 males and 240 females, aged (54.69±10.82) years. The detection rate of psychological distress among lung cancer patients in the diagnostic phase was 48.18%, and the average score was (3.84±2.50) points. Psychological distress was positively correlated with symptom burden (P<0.01), and negatively correlated with social support and resilience (P<0.01). The mediating effect of resilience between symptom burden and psychological distress was significant. The chain mediating effect of social support and resilience between symptom burden and psychological distress was also significant. Conclusion Lung cancer patients in the diagnostic phase have a high detection rate of psychological distress. Symptom burden can directly impact psychological distress, and can affect psychological distress through the indirect path of resilience as well as the chain mediating path between social support and resilience among lung cancer patients in the diagnostic phase.

Objective: To compare the intervention effects of sitagliptin combined with metformin and insulin aspart combined with metformin among patients with type 2 diabetes mellitus (T2DM), so as to provide the reference for optimizing blood glucose control strategies among patients with T2DM. Methods: T2DM patients admitted to the department of endocrinology of Jinhua Central Hospital from January 2018 to December 2024 were selected as the research objects. According to the propensity score matching, T2DM patients were divided into sitagliptin combined with metformin group and insulin aspart combined with metformin group at a ratio of 1∶1. The basic information, capillary blood glucose, glycosylated hemoglobin blood glucose (HbA1c), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), triglyceride (TG), body mass index (BMI), systolic blood pressure (SBP) and diastolic blood pressure (DBP) of the two groups were collected by questionnaire survey, physical examination and laboratory test. The generalized estimating equation was used to analyze the changes of various indicators before and after treatment between the two groups of patients, and the intervention effect was compared. Results: There were 69 cases in the sitagliptin combined with metformin group. Among these 42 cases were males, accounting for 60.87%, and 27 cases were females, accounting for 39.13%.Forty-two cases were younger than 60 years, accounting for 60.87%. There were 69 cases in the insulin aspart combined with metformin group. Among these 47 cases were males, accounting for 68.12%, and 22 cases were females, accounting for 31.88%. Forty-five cases were younger than 60 years, accounting for 65.22%. There were no statistically significant differences in gender, age, education level, smoking, drinking, vegetable and fruit intake, and disease duration between the two groups (all P>0.05). After 6 months of treatment, there was an interaction between group and time in capillary blood glucose and HbA1c in the two groups (all P<0.05), and the reduction of capillary blood glucose and HbA1c in the sitagliptin combined with metformin group was greater than that in the insulin aspart combined with metformin group. There were no statistically significant differences between groups and time in TC, HDL-C, TG, BMI, SBP, and DBP, and no interaction effect was found between groups and time (all P>0.05). Conclusion Sitagliptin combined with metformin is more effective than insulin aspart combined with metformin in controlling blood glucose among patients with T2DM.

BACKGROUND: Neuroticism has been associated with numerous health outcomes. However, most research has focused on a single specific disorder and has produced controversial results, particularly regarding mortality risk. Here, we aimed to examine the association of neuroticism with morbidity and mortality and to elucidate how neuroticism affects trajectories from a healthy state, to one or more neuroticism-related disorders, and subsequent mortality risk. METHODS: We included 483,916 participants from the UK Biobank at baseline (2006-2010). Neuroticism was measured using the Eysenck Personality Questionnaire. Three clusters were constructed, including worry, depressed affect, and sensitivity to environmental stress and adversity (SESA). Cox proportional hazards regression and multistate models were used. Linear regression was used to examine the association between neuroticism and immune parameters and neuroimaging measures. RESULTS: High neuroticism was associated with 37 non-overlapping diseases, including increased risk of infectious, cardiometabolic, neuropsychiatric, digestive, and respiratory diseases, and decreased risk of cancer. After adjustment for sociodemographic variables, physical measures, healthy behaviors, and baseline diagnoses, moderate-to-high neuroticism was associated with a decreased risk of all-cause mortality. In multistate models, high neuroticism was associated with an increased risk of transitions from a healthy state to a first neuroticism-related disease (hazard ratio [HR] [95% confidence interval (CI)] = 1.09 [1.05-1.13], P  <0.001) and subsequent transitions to multimorbidity (1.08 [1.02-1.14], P  = 0.005), but was associated with a decreased risk of transitions from multimorbidity to death (0.90 [0.84-0.97], P for trend = 0.006). The leading neuroticism cluster showing a detrimental role in the health-illness transition was depressed affect, which correlated with higher amygdala volume and lower insula volume. The protective effect of neuroticism against mortality was mainly contributed by the SESA cluster, which, unlike the other two clusters, did not affect the balance between innate and adaptive immunity. CONCLUSION This study provides new insights into the differential role of neuroticism in health outcomes and into new perspectives for establishing mortality prevention programs for patients with multimorbidity.
Humans ; Neuroticism/physiology* ; Male ; Female ; Middle Aged ; Aged ; Proportional Hazards Models ; Surveys and Questionnaires ; Adult ; Risk Factors

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

Objective To analyze the influencing factors of survival of patients with airway stenosis requiring clinical interventions after lung transplantation. Methods Clinical data of 66 patients with airway stenosis requiring clinical interventions after lung transplantation were retrospectively analyzed. Univariate and multivariate Cox’s regression models were adopted to analyze the influencing factors of survival of all patients with airway stenosis and those with early airway stenosis. Kaplan-Meier method was used to calculate the overall survival and delineate the survival curve. Results For 66 patients with airway stenosis, the median airway stenosis-free time was 72 (52,102) d, 27% (18/66) for central airway stenosis and 73% (48/66) for distal airway stenosis. Postoperative mechanical ventilation time [hazard ratio (HR) 1.037, 95% confidence interval (CI) 1.005-1.070, P=0.024] and type of surgery (HR 0.400, 95%CI 0.177-0.903, P=0.027) were correlated with the survival of patients with airway stenosis after lung transplantation. The longer the postoperative mechanical ventilation time, the higher the risk of mortality of the recipients. The overall survival of airway stenosis recipients undergoing bilateral lung transplantation was better than that of their counterparts after single lung transplantation. Subgroup analysis showed that grade 3 primary graft dysfunction (PGD) (HR 4.577, 95%CI 1.439-14.555, P=0.010) and immunosuppressive drugs (HR 0.079, 95%CI 0.022-0.287, P<0.001) were associated with the survival of patients with early airway stenosis after lung transplantation. The overall survival of patients with early airway stenosis after lung transplantation without grade 3 PGD was better compared with that of those with grade 3 PGD. The overall survival of patients with early airway stenosis after lung transplantation treated with tacrolimus was superior to that of their counterparts treated with cyclosporine. Conclusions Long postoperative mechanical ventilation time, single lung transplantation, grade 3 PGD and use of cyclosporine may affect the survival of patients with airway stenosis after lung transplantation.

Objective:To explore the role of corticotrophin releasing factor receptor 2 (CRFR2) in regulating pain sensitization and anxiety and its mechanism in chronic migraine mice.Methods:Forty-eight C57BL/6J mice were randomly divided into control group, model group, NBI35965 group and K41498 group ( n=12); chronic migraine models in the later 3 groups were established by intraperitoneally administrating 10 mg/kg nitroglycerin on the 1 st, 3 rd, 5 th, 7 th and 9 th d; mice in the NBI35965 group and K41498 group were injected with 100 nL NBI35965 or K41498 solution into the bilateral trigeminal nucleus caudalis on the 2 nd, 4 th, 6 th and 8 th d, and mice in the control group were injected with same volume of normal saline. Von frey fiber was used to detect the orbitofrontal mechanical pain threshold 2 h after intraperitoneal injection on the 1 st, 3 rd, 5 th, 7 th and 9 th d, and at 11 a.m. on the 10 th d. Elevated plus maze was used to detect the anxiety-like behaviors at 11 a.m. on the 11 th d. Western blotting was performed to detect the protein expressions of corticotrophin releasing factor (CRF), corticotrophin releasing factor receptor 1 (CRFR1), CRFR2 in the trigeminal nucleus caudalis. Real-time quantitative PCR (RT-qPCR) was used to detect the CRFR1 and CRFR2 mRNA expressions in the trigeminal nucleus caudalis. Immunofluorescent staining was used to detect the protein expressions of calcitonin gene-related peptide (CGRP), immediate-early gene c-fos, glial fibrillary acidic protein (GFAP) and ionized calcium-binding adapter molecule 1 (Iba-1) in the trigeminal nucleus caudalis. Results:Compared with the control group, the model group, NBI35965 group and K41498 group had significantly decreased orbitofrontal mechanical pain thresholds 3, 5, 7, 9, and 10 d after intraperitoneal injection ( P<0.05); compared with model group, the K41498 group had significantly increased orbitofrontal mechanical pain thresholds 7, 9, and 10 d after intraperitoneal injection ( P<0.05). Compared with control group, the model group, NBI35965 group and K41498 group had significantly decreased entries and shorter time in opened arms ( P<0.05); compared with the model group, the K41498 group had significantly increased entries and shorter time in opened arms ( P<0.05). Compared with the control group, the model group, NBI35965 group and K41498 group had significantly higher CRF and CRFR2 protein expressions in the trigeminal nucleus caudalis ( P<0.05); compared with the model group, the K41498 group had statistically lower CRF protein expression in the trigeminal nucleus caudalis ( P<0.05). Compared with the control group, the model group, NBI35965 group and K41498 group had significantly higher CRFR2 mRNA expression in the trigeminal nucleus caudalis ( P<0.05). Compard with the control group, the model group, NBI35965 group and K41498 group had significantly increased CGRP, c-fos, Iba-1 and GFAP protein expressions in the trigeminal nucleus caudalis ( P<0.05); compared with the model group, the K41498 group had significantly decreased CGRP and c-fos protein expressions in the trigeminal nucleus caudalis ( P<0.05). Conclusion:CRFR2 can alter the orbitofrontal pain sensitization and anxiety-like behaviors in chronic migraine mice by regulating neuronal activation and CGRP release in the trigeminal nucleus caudalis.

With the optimization of surgical technologies and postoperative management regimens, the number of lung transplantation has been significantly increased, which has become an important treatment for patients with end-stage lung disease. However, due to the impact of comprehensive factors, such as bronchial ischemia and immunosuppression, the incidence of airway stenosis after lung transplantation is relatively high, which severely affects postoperative survival and quality of life of lung transplant recipients. In recent years, with the improvement of perioperative management, organ preservation and surgical technologies, the incidence of airway stenosis after lung transplantation has been declined, but it remains at a high level. Early diagnosis and timely intervention play a significant role in enhancing clinical prognosis of patients with airway stenosis. In this article, the general conditions, diagnosis, treatment and prevention of airway stenosis after lung transplantation were reviewed, aiming to provide reference for comprehensive management of airway stenosis after lung transplantation and improving clinical prognosis of lung transplant recipients.

Objective:To investigate the relationship between intra-abdominal pressure (IAP) and respiratory function in mechanically ventilated children with severe pneumonia and its prognostic value.Methods:A case-series study.Ninety-two children with severe pneumonia who were treated with mechanical ventilation in the Intensive Care Unit of Children′s Hospital Affiliated to Zhengzhou University from May 2019 to May 2021 were taken as the study subjects.The IAP and respiratory function-related indexes of the children were monitored.Those with IAP ≥12 mmHg(1 mmHg=0.133 kPa) were divided into the study group, and those with IAP <12 mmHg were divided into the control group.The difference in respiratory function related indexes between the 2 groups was compared, and the relationship between IAP and respiratory function indexes was analyzed by Pearson correlation.The children were divided into a good prognosis group and a poor prognosis group according to their prognosis.The relevant clinical data of the children in the 2 groups were collected for univariate analysis, and multivariate Logistic regression was used to analyze the risk factors affecting the prognosis of children with mechanical ventilation for severe pneumonia.A receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of IAP on the prognosis of mechanically ventilated children with severe pneumonia.Results:The arterial partial pressure of oxygen (PaO 2) [(80.15±8.23) mmHg], arterial blood oxygen saturation (SaO 2) [(91.32±2.13)%], and oxygenation index (PaO 2/FiO 2) [(198.29±20.25) mmHg] in the study group were lower than those in the control group [(85.74±8.42) mmHg, (97.05±2.47)%, and (234.84±25.24) mmHg], while the respiratory rate (RR) [(56.23±2.16) breaths/min vs. (50.41±2.24) breaths/min], partial pressure of carbon dioxide (PaCO 2) [(36.48±3.72) mmHg vs.(33.29±3.46) mmHg], fraction of inspired oxygen (FiO 2) [(40.42±4.25)% vs.(36.51±3.72)%], mean arterial pressure (MAP) [(55.98±5.69) mmHg vs.(52.79±5.43) mmHg], and positive end expiratory pressure (PEEP) [(5.03±0.52) cmH 2O vs.(4.52±0.47) cmH 2O, 1 cmH 2O=0.098 kPa] were higher than those in the control group, and the differences were all statistically significant (all P<0.05).The IAP of the children in the study group was (14.25±1.83) mmHg, and that in the control group was (10.38±1.14) mmHg.Pearson correlation analysis showed that IAP was negatively correlated with PaO 2, SaO 2, and PaO 2/FiO 2 ( r=-0.615, -0.587, and -0.647, all P<0.05), and was positively correlated with RR, PaCO 2, FiO 2, MAP, and PEEP ( r=0.618, 0.634, 0.579, 0.578, 0.593, all P<0.05).IAP [(14.76±1.58) mmHg], PaCO 2 [(39.95±4.21) mmHg], FiO 2 [(50.29±5.12)%], alanine aminotransferase[(42.08±4.15) U/L], and total bilirubin [(17.92±1.87) μmol/L] in the poor prognosis group were greater than those [(10.75±1.19) mmHg, (35.37±3.64) mmHg, (45.38±4.47)%, (39.87±4.06) U/L, and (17.09±1.75) μmol/L] in the good prognosis group, while PaO 2 [(65.42±7.86) mmHg vs.(76.42±7.51) mmHg], SaO 2 [(90.65±9.26)% vs.(96.21±2.19)%], and PaO 2/FiO 2 [(130.09±15.15) mmHg vs.(168.40±20.17) mmHg] were smaller than those in the good prognosis group, and the differences were statistically significant (all P<0.05).Logistic regression analysis showed that IAP, PaO 2, PaCO 2, and SaO 2 were risk factors affecting the prognosis of mechanically ventilated children with severe pneumonia (all P<0.05).The optimal cut-off point of IAP for predicting a poor prognosis in mechanically ventilated children with severe pneumonia was 14.55 mmHg, and the area under the ROC curve was 0.873, with a sensitivity of 88.10% and a specificity of 76.00%. Conclusions:IAP has a certain relationship with the respiratory function of mechanically ventilated children with severe pneumonia, and has a good predictive value for the prognosis of the children.

The survey on the hesitant status of rubella-containing vaccine (RCV) vaccination was conducted among 2 141 women of childbearing age in four provinces, Liaoning, Jiangsu, Zhejiang, and Anhui, from May 2017 to March 2018. Among the 2 141 study participants, a total of 38.21% (818) of women of childbearing age were aware of rubella and 21.25% (455) of women of childbearing age knew about RCV. Among the 455 women of childbearing age who were aware of RCV, 262 (57.58%) were willing to be vaccinated with RCV; 304 women of childbearing age (66.81%) tended to be vaccinated with RCV free of charge. Among the 193 women of childbearing age who did not want to be vaccinated or did not decide whether they preferred to be vaccinated with RCV, no one around them was vaccinated (89, 46.11%) and fear of vaccine safety (70, 36.27%) were the main reasons for hesitation to receive RCV.

Objective To analyze the value of systemic inflammatory indicators in diagnosing schizo-phrenia and their correlation with disease condition severity and cognitive dysfunction.Methods A total of 47 patients with schizophrenia visited and treated in this hospital from October 2021 to March 2023 were selected as the study subjects,and 47 healthy volunteers during the same period served as the control group.The morn-ing fasting venous blood was collected in all research subjects,and the blood routine and biochemical indicators were measured.The SII,SIRI,NHR and LHR were calculated.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of SII,SIRI,NHR and LHR in the patients with schizophrenia.The correlation adopted the Pearson correlation analysis.Results The levels of SII,SIRI,NHR and LHR in the schizophrenia group were significantly increased compared with the control group,and the difference was statistically significant(P＜0.05).The ROC curve analysis demonstrated that the area under the curve(AUC)of SII,SIRI,NHR and LHR detection alone in diagnosing schizophrenia were 0.683,0.686,0.774 and 0.766 respectively.AUC of their combination detection was 0.886.SII was positively correlated with the gen-eral symptoms and the positive and negative symptom scale(PANSS)total score,and negatively correlated with the spatial structure,linguistic function and delayed memory(P＜0.05);SIRI was positively correlated with the negative symptoms,general symptom and PANSS total score,and negatively correlated with the im-mediate memory,spatial structure,linguistic function,attention;NHR was positively correlated with the nega-tive symptoms,positive symptoms,general symptoms and PANSS total score,and negatively correlated with immediate memory,linguistic function,attention and delayed memory(P＜0.05).LHR was positively corre-lated with the positive symptoms,general symptoms and PANSS total score,and negatively correlated with the spatial structure,linguistic function,attention and delayed memory(P＜0.05).Conclusion SII,SIRI,NHR and LHR combined detection has higher diagnostic value for the patients with schizophrenia.Further-more,the SII,SIRI,NHR and LHR levels are closely correlated with the disease condition severity and cogni-tive function impairment degree.