OBJECTIVETo improve clinicians' ability of diagnosing testicular torsion.

METHODSWe reviewed the data of a case of testicular torsion that resulted in necrosis because of delayed presentation and repeated misdiagnosis, and analyzed its anatomic features, clinical manifestations, ultrasound results, the causes of misdiagnosis and relevant literature.

RESULTSThe patient presented 5 hours after the onset of symptoms, complaining of severe paroxysmal pain in the lower left abdomen, accompanied with nausea and vomiting, and was twice misdiagnosed as having enterospasm or ureteral calculus at two different hospitals. Fifteen hours later, surgical exploration revealed an about 900-degree testicular torsion in the spermatic cord, which necessitated orchiectomy for non viability of the testis. Postoperative pathological examination confirmed testicular necrosis and diffused hemorrhage in the testis and epididymis.

CONCLUSIONTimely presentation, correct diagnosis and proper treatment are keys to saving the affected testis. Color Doppler ultrasound is an ideal option for the definite diagnosis of acute scrotal diseases, and it offers a valuable guidance for related surgery as well.

Adult ; Diagnostic Errors ; Humans ; Male ; Necrosis ; Spermatic Cord Torsion ; diagnosis ; Testis ; pathology

ObjectiveTo evaluate the integrated performance of age, serum PSA, and transrectal ultrasound images in the prediction of prostate cancer using a Tree-Augmented NaÏve (TAN) Bayesian network model.

METHODSWe collected such data as age, serum PSA, transrectal ultrasound findings, and pathological diagnoses from 941 male patients who underwent prostate biopsy from January 2008 to September 2011. Using a TAN Bayesian network model, we analyzed the data for predicting prostate cancer, and compared them with the gold standards of pathological diagnosis.

RESULTSThe accuracy, sensitivity, specificity, positive prediction rate, and negative prediction rate of the TAN Bayesian network model were 85.11%, 88.37%, 83.67%, 70.37%, and 94.25%, respectively.

CONCLUSIONSBased on age, serum PSA, and transrectal ultrasound images, the TAN Bayesian network model has a high value for the prediction of prostate cancer, and can help improve the clinical screening and diagnosis of the disease.

Bayes Theorem ; Biopsy ; Humans ; Male ; Predictive Value of Tests ; Prostate ; Prostate-Specific Antigen ; blood ; Prostatic Neoplasms ; diagnosis ; Sensitivity and Specificity

Soil microorganisms are one of the important biological indictors of soil quality and can reflct the comprehensive ecological environment characteristics of the soil. The research of soil microbial diversity is the key to know the ecological functions and balance with soil. In this paper, high-throughput sequencing on PCR-amplified 16 S rRNA gene V3-V4 fragments was used to determine the bacterial diversity in rhizosphere soil of A. macrocephala under the treatment with BZJN1 or streptoprofen. The results showed that there were no significant differences of the bacteria in A. macrocephala rhizosphere soil of the streptoprofen treatment group and the biocontrol BZJN1 treatment group. All the soil bacteria was classified into 25 categories,67 classes, 108 orders, 167 families and 271 generas, except some unidentified bacteria. Proteobacteria(30.7%-34.8%) was the dominant phylum, of which Alphaproteobacteria(16.8%-18.5%) was the dominant subgroup. Compared with the control group, the relative abundance of multiple phylums bacteria in the rhizosphere soil of A. macrocephala was significantly changed in the streptoprofen treatment group and the biocontrol BZJN1 treatment group. In addition, RDA analysis showed that there was connection with different environmental factors and microbial communities. The abundance of the three genera in the rhizosphere soil of A. macrocephala was significantly positively correlated with Invertase, Urease and AP. PICRUSt function prediction results showed that BZNJ1 could enhance some bacterial functions and promote the plant growth. Biocontrol is a new type of green and safety control pest method. BZNJ1 significantly enhances some bacterial functions on the basis of effectively preventing root rot of A. macrocephala and promoting plant growth, and has no significant effect on the soil bacterial community structure. All the results can provide theoretical support for popularization of BZNJ1.
Atractylodes ; Bacteria ; Rhizosphere ; Soil ; Soil Microbiology

OBJECTIVE: This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. METHODS: We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength. RESULTS: In the multimetal linear regression, Cu (β = -2.119), As (β = -1.318), Sr (β = -2.480), Ba (β = 0.781), Fe (β = 1.130) and Mn (β = -0.404) were significantly correlated with grip strength ( P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval: -1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn ( P _interactions of 0.003 and 0.018, respectively). CONCLUSION In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.
Cross-Sectional Studies ; Bayes Theorem ; China/epidemiology* ; Metals/toxicity* ; Arsenic ; Strontium