[Establishment and evaluation of a model for predicting ISUP pathological grade≥2 before radical prostatectomy]

Objective: Based on the 2014 version of the International Association of Urological Pathology (ISUP) pathological classification standards, a prediction model that can predict the pathological classification of ISUP ≥2 in patients with prostate cancer (PCa) before radical prostatectomy (RP) was established and evaluated. Methods: The clinical data of 171 patients who had undergone RP from January 2017 to September 2020 in the Second Affiliated Hospital of Soochow University and obtained postoperative pathological results of all specimens were retrospectively collected. The patients were 46-83 (70±7) years old. For patients with RP ISUP pathologic stage as the gold standard, according to the pathological grading is level 2 or higher is divided into two groups(42 patients with ISUP grade=1 and 129 patients with ISUP grade ≥2). the predictors of ISUP pathology grade ≥2 after RP were screened by logistics regression analysis, predictive models were established and ROC curves were used to evaluate the efficacy of each model in diagnosing RP with pathological grade ≥2, and comparisons were conducted by DeLong test. Results: Compared with patients with ISUP grade=1, patients with ISUP grade≥2 had higher prostate specific antigen (PSA) and prostate specific antigen density (PSAD) (14.21(8.57, 24.98)ng/ml vs 7.98(5.41, 12.54)ng/ml, 0.33(0.20, 0.74)μg.L^-1.ml^-1 vs 0.16(0.12, 0.24)μg.L^-1.ml^-1), lower prostate volume (PV) (48.62(34.17,73.99)ml vs 38.94(28.15,54.84)ml)(all P<0.05). Multi-parameter magnetic resonance imaging (mp-MRI) prostate imaging and reporting system (PI-RADS) score, the positive ratio of puncture needles and the pathological grade of puncture ISUP were also significantly different between the two groups (all P<0.05). The combined mp-MRI PI-RADS score (OR=3.337, 95%CI: 1.990-5.593, P<0.001) and puncture ISUP pathological grading (OR=4.041, 95%CI: 1.960-8.334, P<0.001) had the highest diagnostic efficacy for pathological grading ≥2 after RP (AUC=0.916, P<0.05). Conclusion: The combined mp-MRI PI-RADS score and puncture ISUP pathological grading had the highest diagnostic efficacy for pathological grading ≥2 after RP.

[The diagnostic value of version 2.1 prostate imaging reporting and data system for prostate transitional zone lesions]

Objective: To compare and analyze the diagnostic value of prostate imaging reporting and data system (PI-RADS) version 2.1 and version 2 for prostate transitional zone lesions. Methods: The imaging data of 159 patients with major prostate lesions located in the transitional zone collected by the Department of Radiology of the Second Affiliated Hospital of Suzhou University from January to December 2017 were retrospectively analyzed. Two radiologists used PI-RADS V2.1 and V2 scoring system respectively to perform diagnostic scores on the enrolled cases. The weighted Kappa test was used to evaluate the consistency of PI-RADS V2.1 and V2 scores between the two radiologists. The receiver operating characteristic (ROC) curve was used to evaluate and compare the diagnostic efficiency of two radiologists using two scoring systems for transitional zone prostate cancer (PCa) and clinically significant PCa (csPCa). Results: The weighted Kappa values between the scores of all lesions, benign lesions, PCa lesions, and csPCa lesions by the two radiologists using PI-RADS V2.1 and V2 scoring systems were 0.754, 0.643, 0.734, 0.782 and 0.808, 0.738, 0.775, 0.826, respectively. The PI-RADS V2.1 scoring system had a better consistency. There were no statistically significant differences in sensitivity, specificity, area under the ROC curve (AUC) between the PI-RADS V2.1 and V2 scoring system for PCa and csPCa (all P>0.05). However, in this set of data, the sensitivity and AUC value of PI-RADS V2.1 scoring system in diagnosing PCa and csPCa were higher than those of P-RADS V2. The diagnostic sensitivity of PI-RADS V2.1 and V2 for PCa were 86.7% and 80.0%, the diagnostic sensitivity for csPCa were 94.4% and 88.9%, the diagnostic AUC for PCa were 0.857 and 0.816, and the diagnostic AUC of csPCa were 0.917 and 0.886, respectively. Conclusion: The consistency of PI-RADS V2.1 in scoring prostate transitional zone lesions was better than PI-RADS V2. The diagnostic efficiency of PI-RADS V2.1 for transitional carcinoma was not lower than or slightly higher than PI-RADS V2.

Predictors of acute hospital mortality and length of stay in patients with new-onset atrial fibrillation: a first-hand experience from a medical emergency team response provider

BACKGROUND

Atrial fibrillation (AF) occurs frequently following cardiothoracic surgery and treatment decisions are informed by evidence-based clinical guidelines. Outside this setting there are few data to guide clinical management.

AIM

To describe the characteristics, management and outcomes of hospitalised adult patients with new-onset AF.

METHODS

The medical emergency team (MET) database was utilised to identify patients who had a 'MET call' activated for tachycardia between 2015 and 2016. Patients with sinus tachycardia, pre-existing AF/atrial flutter or other known tachyarrhythmia were excluded. Primary outcomes were length of hospital stay and in-hospital mortality.

RESULTS

New-onset AF was identified in 137 patients: 68 medically managed; 38 non-cardiothoracic post-operative; and 31 cardiothoracic post-operative. Mean age was 74 ± 11.6 years and 72 (53%) were male. Of 79 patients who underwent echocardiography, 80% had left atrial dilatation and 14% had reduced left ventricular ejection fraction (LVEF). Mean length of stay (LOS) was 12 days and in-hospital mortality rate was 11%. On multivariable analysis, the odds of death during acute hospitalisation was 7.4 times higher in patients with heart failure with reduced LVEF (odds ratio 7.4, 95% confidence interval (CI) 1.23-44.8, P = 0.028). Length of acute hospital stay increased by 36% if the duration of AF was longer than 48 h (beta coefficient 0.36, 95% CI -0.015 to 0.74, P = 0.059).

CONCLUSION

Left ventricular systolic dysfunction in hospitalised patients with new-onset AF is associated with increased all-cause mortality whereas lower serum potassium levels are associated with an increased LOS. A prospective study is planned to compare outcomes based on in-hospital treatment strategies.

[The clinical decision-making value of prostate specific antigen and its derived indicators in prostate imaging reporting and data system version 2 3 lesions]

Objective: To explore the decision-making value of clinical data in prostate imaging reporting and data system version 2 (PI-RADS V2) 3 lesions, and to compare the diagnostic value of related data for prostate cancer (PCa) and clinically PCa(csPCa). Methods: From March 2016 to October 2018,a subset of 121 men with 121 PI-RADS 3 index lesions were retrospectively analyzed. There were 31 PCa lesions and 14 csPCa lesions, aged from 46 to 91 years with a mean age of (71±9) years. The clinical data of the age, prostate specific antigen (PSA), free PSA (fPSA), f/tPSA, PSA density (PSAD) and prostate volume (PV) were compared between PCa group and non-PCa group, csPCa group and non-csPCa group using univariate analysis, respectively.The receiver operating characteristic (ROC) curve was used to evaluate the efficiency of statistically data in detecting PCa and csPCa in men with PI-RADS 3 index lesions. Results: The differences of PSA, f/tPSA and PSAD were all statistically significant (Z=-2.004, -2.527, -2.623, all P<0.05) between PCa group and non-PCa group, and they were all also statistically significant(Z=-2.415, -2.158, -2.870, all P<0.05) between csPCa group and non-csPCa group. Both PSAD had the best diagnostic efficiency, the ROC curve of detecting PCa and csPCa was 0.658 and 0.736, respectively. If used PSAD>0.20 μg·L(-1)·ml(-1) as the biopsy threshold, the sensitivity, specificity, positive predictive value and negative predictive value of csPCa were 78.6%, 58.9%, 20.0%, 95.4%, and 54.5% (66/121) of the enrolled men can avoid biopsy, resulting only 3 cases of csPCa missed. Conclusion: PSA, f/tPSA, PSAD, especially PSAD can improve the detection efficiency of PCa,especially csPCa in PI-RADS 3 lesions, assisting clinical decision-making.