Prostate cancer(PCa)is one of the common malignant tumors of the genitourinary system in men.It is generally believed that the serum prostate-specific antigen(PSA)level exceeding 4.0 ng/mL has potential diagnostic value for PCa.However,there are many cases of PCa with low PSA levels in clinical practice,specifically between 0-4.0 ng/mL.These cases may be missed or even misdiagnosed due to low PSA levels,leading to delays in treatment and missing the optimal clinical window for diagnosis and treatment.This review provides a com-prehensive summary of the clinicopathological characteristics of PCa patients with PSA levels below 4.0 ng/mL,including their baseline and clinical features,histological characteristics,imaging features,neuroendocrine prostate cancer(NEPC)and prognostic factors,aiming to en-hance the understanding of this type of PCa.

Prostate cancer(PCa)is one of the common malignant tumors of the genitourinary system in men.It is generally believed that the serum prostate-specific antigen(PSA)level exceeding 4.0 ng/mL has potential diagnostic value for PCa.However,there are many cases of PCa with low PSA levels in clinical practice,specifically between 0-4.0 ng/mL.These cases may be missed or even misdiagnosed due to low PSA levels,leading to delays in treatment and missing the optimal clinical window for diagnosis and treatment.This review provides a com-prehensive summary of the clinicopathological characteristics of PCa patients with PSA levels below 4.0 ng/mL,including their baseline and clinical features,histological characteristics,imaging features,neuroendocrine prostate cancer(NEPC)and prognostic factors,aiming to en-hance the understanding of this type of PCa.

BackgroundCombination of antipsychotic drugs and modified electroconvulsive therapy （MECT） is currently a commonly used method for treating schizophrenia， but its efficacy varies among different patient groups. ObjectiveTo explore the therapeutic effects of MECT on schizophrenia patients living in different urban versus rural environments， so as to provide references for the selection of treatment plans based on patients' residence. MethodsA total of 587 patients hospitalized at Luzhou Mental Health Center， Zigong Mental Health Center and Yibin Fourth People's Hospital from May 2018 to August 2022， who met the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） ，were included in the study. Patients were divided into two groups： medication-only group （n=106） and MECT combined with medication group （n=481）. In MECT combined with medication group， 24 rural patients residing in urban areas were excluded， leaving the remaining patients divided into urban group （n=103） and rural group （n=354） based on their place of residence. Positive and Negative Syndrome Scale （PANSS） was used to assess the severity of symptoms. Clinical efficacy was evaluated using PANSS score reduction rate， and covariance analysis was used to compare the therapeutic effects of different patients. ResultsThe differences of reduction rate of PANSS total score， positive symptom scale score and negative symptom scale score as well as treatment effectiveness rate between MECT combined with medication group and medication-only group were statistically significant （F=11.149， 12.111， 31.725， χ²=14.010， P<0.01）. Statistically significant differences were also observed in reduction rate of PANSS total score and positive symptom subscale score as well as treatment effectiveness rate between urban and rural patients in MECT combined with medication group （F=3.946， 4.523， χ²=4.033， P<0.05）. ConclusionThe efficacy of MECT combined with medication may be superior to medication alone in the treatment of schizophrenia， and the combined therapy may be more effective in urban patients than that in rural patients， with potentially more pronounced improvements in positive symptoms.

Objective To construct nomogram models to predict the risk factors for early death in patients with metastatic melanoma(MM).Methods The study covered 2138 cases from the Surveillance,Epidemiology,and End Results Program(SEER)database and all these patients were diagnosed with MM between 2010 and 2015.Logistic regression was performed to identify independent risk factors affecting early death in MM patients.These risk factors were then used to construct nomograms of all-cause early death and cancer-specific early death.The efficacy of the model was assessed with receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).In addition,external validation of the model was performed with clinicopathologic data of 105 patients diagnosed with MM at Sichuan Cancer Hospital between January 2015 and January 2020.Results According to the results of logistic regression,marital status,the primary site,N staging,surgery,chemotherapy,bone metastases,liver metastases,lung metastases,and brain metastases could be defined as independent predictive factors for early death.Based on these factors,2 nomograms were plotted to predict the risks of all-cause early death and cancer-specific early death,respectively.For the models for all-cause and cancer-specific early death,the areas under the curve(AUCs)for the training group were 0.751(95%confidence interval[CI]:0.726-0.776)and 0.740(95%CI:0.714-0.765),respectively.The AUCs for the internal validation group were 0.759(95%CI:0.722-0.797)and 0.757(95%CI:0.718-0.780),respectively,while the AUCs for the external validation group were 0.750(95%CI:0.649-0.850)and 0.741(95%CI:0.644-0.838),respectively.The calibration curves showed high agreement between the predicted and the observed probabilities.DCA analysis indicated high clinical application value of the models.Conclusion The nomogram models demonstrated good performance in predicting early death in MM patients and can be used to help clinical oncologists develop more individualized treatment strategies.

Objective:To investigate the effect of volatile organic compounds (VOCs) exposure in the atmosphere on the risk of daily death from stroke in Guangzhou.Methods:Daily average concentrations of twelve atmospheric VOCs, meteorological factors, and daily deaths for stroke and its subtypes (including ischemic and hemorrhagic stroke) in Guangzhou from 2020 to 2021 were collected. The time-series Poisson generalized additive model was established to analyze the relationship between daily average concentrations of atmospheric VOCs and daily mortality from a stroke on different lag days. The season, gender, and age group further performed stratification analysis.Results:Toluene and n-pentane were associated with a higher mortality risk from stroke and its subtypes. For each interquartile range ( IQR) increment in toluene concentration at lag0- 1 days, the RRs for mortality from stroke and hemorrhagic stroke were 1.060 (95% CI: 1.036-1.085) and 1.071 (95% CI: 1.030-1.113), respectively. For each IQR increment in n-pentane concentration, the RR for mortality from ischemic stroke was 1.064 (95% CI: 1.030-1.099). The effect estimates of VOCs may be higher during the cold season and among women and people aged ≥75 years. For each IQR increment in toluene concentration, the RRs for mortality risk of stroke in the cold season and women were 1.099 (95% CI: 1.056-1.143) and 1.085 (95% CI: 1.050-1.120), respectively. For n-pentane, the RR for death risk of stroke in people aged ≥75 years old was 1.072 (95% CI: 1.036-1.109). Results of sensitivity analysis showed that the effect estimates fluctuated less when PM 2.5 and O 3 were separately introduced for the two-pollutant model, as well as changing the degrees of freedom for covariates. Conclusions:This study suggests that VOCs may be an independent risk factor for daily mortality from stroke. Moreover, Toluene presented the most significant health impact.

Heart failure is a disease that seriously threatens human health and has become a global public health problem. Diagnostic and prognostic analysis of heart failure based on medical imaging and clinical data can reveal the progression of heart failure and reduce the risk of death of patients, which has important research value. The traditional analysis methods based on statistics and machine learning have some problems, such as insufficient model capability, poor accuracy due to prior dependence, and poor model adaptability. In recent years, with the development of artificial intelligence technology, deep learning has been gradually applied to clinical data analysis in the field of heart failure, showing a new perspective. This paper reviews the main progress, application methods and major achievements of deep learning in heart failure diagnosis, heart failure mortality and heart failure readmission, summarizes the existing problems and presents the prospects of related research to promote the clinical application of deep learning in heart failure clinical research.
Humans ; Artificial Intelligence ; Deep Learning ; Heart Failure/diagnosis* ; Machine Learning ; Diagnostic Imaging

Coronary artery lesions are the most serious complications of Kawasaki disease.The incidence of Kawasaki disease is still on the rise in recent years, and the proportion of children with coronary artery dilatation increased in parallel with the incidence of Kawasaki disease.But the incidence of severe coronary artery lesions, such as giant coronary aneurysms, coronary artery stenosis and even occlusion is stable or declining.The pathological changes of coronary artery disease are different with the severity and duration of the disease.Early recognition of coronary artery lesions should not be limited to the observation of luminal dimensions, but also should be explored in depth about the changes of coronary artery structure and function.

Objective:To evaluate a new type of draw-bar skin stretcher in repair of full-thickness skin defects.Methods:From May 2015 to January 2019, 52 patients with full-thickness skin defects were repaired with a new type of draw-bar skin stretcher at Daping Hospital, Army Medical University. They were 40 males and 12 females, aged from 4 to 61 years (average, 37.1 years). Their skin was stretched for primary wound closure. When primary wound closure failed, skin stretching was performed again to close the wound depending on the wound condition. When the Pinch test was negative after skin stretching, the wound was sutured directly. In cases of positive Pinch test, a skin graft or flap was used to repair the remaining wound. At 12 months after surgery, scar contracture and size of skin graft or flap were observed and wound healing after skin stretching was evaluated in comparison with the original wound.Results:After skin stretching, one-stage wound closure was achieved in 36 cases and multi-stage wound closure in 8 cases; of the remaining 8 cases, 2 were repaired by skin graft and 6 by skin flap after their wounds were reduced by skin stretching. In one-stage closed wounds, infection occurred in 3 cases and marginal necrosis in 5 cases; in the wounds repaired by skin graft or flap, no infection or necrosis was observed. The 12-month follow-up for all the patients showed fine healing of all the wounds after one-stage or multi-stage closure, linear scar, absence of scar contracture, and smaller wound sizes than the original ones after skin graft or flap repair.Conclusions:Skin stretching using our new type of draw-bar skin stretcher is an effective treatment for skin wounds. It can replace traditional skin grafting and flap surgery in some cases, but its indications should be strictly followed to avoid related complications.

Objective:To investigate the role and mechanism of high mobility group box 1(HMGB1) in the injury of Caco-2 intestinal epithelial barrier induced by lipopolysaccharide (LPS).Methods:The Caco-2 cellular monolayer barrier was established with Transwell chamber. After the Caco-2 monolayer model was established, the transepithelial electrical resistance (TEER) values were measured. When the TEER value reached 500 Ω·cm 2, the cells were divided into 3 groups: control group, LPS treatment group, and LPS+ ethyl pyruvate (EP) treatment group. The concentration of LPS and EP were 100 μg/mL, 50 μg/mL, separately. Then TEER values were measured at 12, 24, 48 and 72 h, and FITC-dextran permeability was detected at 24 h. The cells were seeded on 6-well plates. After cell density reached 80%, treatments were given as the above. The real-time polymerase chain reaction (RT-PCR) and Western blot were used to measure the changes in the protein and mRNA expressions of Occludin, HMGB1, and nuclear factor-κB (NF-κB). Results:Compared with the control group, the TEER values (Ω·cm 2) reduced at 12, 24, 48 and 72 h in the LPS treatment group [(514.22±12.59) vs (304.96±9.69), (521.65±13.35) vs (276.21±7.82), (523.99±8.18) vs (206.64±15.85), (491.21±6.72) vs (156.33±10.83), all P<0.05]. The FITC-dextran permeability increased significantly at 24 h [(2.58±0.07) vs (1.04±0.06), P<0.05]. The expression levels of Occludin protein and mRNA were decreased (all P<0.05), while the expression levels of HMGB1 and NF-κB protein and mRNA were significantly increased (all P<0.05). Compared with the LPS treatment group, the TEER values (Ω·cm 2) increased significantly at 12, 24, 48 and 72 h in the EP treatment group [(519.00±5.66) vs (304.96±9.69), (504.69±8.57) vs (276.21±7.82), (453.65±10.74) vs (206.64±15.85), (385.28±7.57) vs (156.33±10.83), all P<0.05]. The FITC-dextran permeability decreased at 24 h [(1.23±0.11) vs (2.58±0.07), P<0.05]. The expression level of Occludin protein and mRNA were increased ( P<0.05), while the expression levels of HMGB1 and NF-κB protein and mRNA were significantly decreased (all P<0.05). Conclusions:LPS can injure intestinal barrier directly in vitro and reduces the expression of tight junction proteins between cells. The mechanism may be related to the increased expression of HMGB1 and NF-κB protein.

A novel coronavirus pneumonia (NCP) epidemic has occurred in Wuhan, Hubei Province since December 2019, caused by a novel coronavirus (2019-nCoV) never been seen previously in human. China has imposed the strictest quarantine and closed management measures in history to control the spreading of the disease. However, severe trauma can still occur in the NCP patients. In order to standardize the emergency treatment and the infection prevention and control of severe trauma patients with hidden infection, suspected or confirmed infection of 2019-nCoV, Trauma Surgery Branch of Chinese Medical Doctors' Association organized this expert consensus. The consensus illustrated the classification of the NCP patients, severe trauma patients in need of emergency surgery, emergency surgery type, hierarchical protection for medical personnel and treatment places. Meanwhile, the consensus standardized the screening, injury severity evaluation, emergency surgical treatment strategy and postoperative management strategy of severe trauma patients during the epidemic period of NCP, providing a basis for the clinical treatment of such kind of patients.