A Novel Nomogram Based on Initial Features to Predict BPH Progression
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Definition and Inclusion/Exclusion Criteria
2.3. Patients’ Workout and Treatment
2.4. Definition of Outcomes
2.5. Statistical Analysis
3. Results
3.1. Case Series
3.2. Nomograms
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Cohort (n = 107) | No Outcome (n = 50) | Drug Switch (n = 37) | Progression (n = 20) | p |
---|---|---|---|---|---|
Age (years) | 55 | 49 (9.9) | 60 (9.5) | 62 (8.0) | <0.001 |
Prostate volume (cc) | 32 | 28 (12) | 40 (17.1) | 40 (15.2) | <0.001 |
Q max (mL/s) | 13 | 16 (3.9) | 12 (3.6) | 10 (4.8) | 0.011 |
PSA (ng/mL) | 1.3 | 0.85 (1.0) | 1.85 (1.5) | 1.9 (1.3) | 0.001 |
Residual volume (cc) | 10 | 0 (27) | 30 (38.1) | 52 (48.9) | <0.001 |
Mild symptoms (%) | 57 (53%) | 38 (76%) | 13 (35%) | 6 (30%) | <0.001 |
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Luciani, L.G.; Mattevi, D.; Ravanelli, D.; Anceschi, U.; Giusti, G.; Cai, T.; Rozzanigo, U. A Novel Nomogram Based on Initial Features to Predict BPH Progression. Int. J. Environ. Res. Public Health 2022, 19, 9738. https://doi.org/10.3390/ijerph19159738
Luciani LG, Mattevi D, Ravanelli D, Anceschi U, Giusti G, Cai T, Rozzanigo U. A Novel Nomogram Based on Initial Features to Predict BPH Progression. International Journal of Environmental Research and Public Health. 2022; 19(15):9738. https://doi.org/10.3390/ijerph19159738
Chicago/Turabian StyleLuciani, Lorenzo G., Daniele Mattevi, Daniele Ravanelli, Umberto Anceschi, Guido Giusti, Tommaso Cai, and Umberto Rozzanigo. 2022. "A Novel Nomogram Based on Initial Features to Predict BPH Progression" International Journal of Environmental Research and Public Health 19, no. 15: 9738. https://doi.org/10.3390/ijerph19159738
APA StyleLuciani, L. G., Mattevi, D., Ravanelli, D., Anceschi, U., Giusti, G., Cai, T., & Rozzanigo, U. (2022). A Novel Nomogram Based on Initial Features to Predict BPH Progression. International Journal of Environmental Research and Public Health, 19(15), 9738. https://doi.org/10.3390/ijerph19159738