Dataset Information

BPH nomogram using IPSS, prostate volume, peak flow rate, PSA and median lobe protrusion for predicting the need for intervention: development and internal validation.

ABSTRACT:

Objective

The aim of the present study was to develop a nomogram to accurately predict the need for intervention in patients suffering from LUTS due to benign prostatic hyperplasia (BPH) and internally validate it.

Material and methods

The data was collected from the community subjects from the state of Gujarat in western India. All the demographic data, physical examination, PSA, uroflowmetry and prostatic ultrasound was collected in 92 subjects and were followed up after 2 years. The data was analyzed and logistic regression model was used to build a predictive model. A nomogram was build using R software. Nomogram was internally validated using 50 subjects.

Results

92 subjects were analyzed for developing the nomogram. Out of these, 17 patients needed intervention. 8 patients were started on medical therapy and 9 patients were taken up for surgical intervention. Of all the statistically significant predictors, peak flow rate was the most significant and was followed by median lobe enlargement, PSA, prostate volume and IPSS. These variables were used to develop a prediction model for the intervention required using reduced logistic regression model. The predictive accuracy of the model was 95.65% with a sensitivity of 88.28%, a specificity of 97.33%, a positive predictive value (PPV) of 88.24%, and a negative predictive value (NPV) of 97.33%. The AUC of the model was 0.799. Internal validation was done on 50 subjects which had sensitivity, specificity and AUC of the model at 89.66%, 90.48% and 0.968 respectively.

Conclusion

The study demonstrates the clinical application of nomogram which uses IPSS, PSA, peak flow rate, prostate volume and median lobe enlargement (intravesical prostatic volume). It has a sensitivity of 88.24%, specificity of 97.33%. It predicts the need for intervention in BPH patients with accuracy of 95.65% which was internally validated with an accuracy of 90%.

SUBMITTER: Ganpule AP

PROVIDER: S-EPMC8303027 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

BPH nomogram using IPSS, prostate volume, peak flow rate, PSA and median lobe protrusion for predicting the need for intervention: development and internal validation.

Ganpule Arvind P AP Batra Rohan S RS Shete Nitiraj B NB Singh Abhishek G AG Sabnis Ravindra B RB Desai Mahesh R MR

American journal of clinical and experimental urology 20210615 3

<h4>Objective</h4>The aim of the present study was to develop a nomogram to accurately predict the need for intervention in patients suffering from LUTS due to benign prostatic hyperplasia (BPH) and internally validate it.<h4>Material and methods</h4>The data was collected from the community subjects from the state of Gujarat in western India. All the demographic data, physical examination, PSA, uroflowmetry and prostatic ultrasound was collected in 92 subjects and were followed up after 2 years ...[more]

PMID: 34327259

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Project description:ObjectiveIdentifying biomarkers of prostatic inflammation has been a question of great interest in the development of anti-inflammatory pharmacotherapy for lower urinary tract symptoms suggestive of benign prostatic hyperplasia (LUTS/BPH). Systemic inflammation and serum prostate-specific antigen (PSA) have been linked with prostatic inflammation. This study set out to develop a diagnostic model for prostatic inflammation using clinical and laboratory parameters.MethodsWe included LUTS/BPH patients undergoing transurethral resection of the prostate. The severity of prostatic inflammation was determined by pathological review. Clinical manifestations and preoperative laboratory test results were recorded. We used LASSO regression with 10-fold cross-validation to select variables with the most diagnostic value of prostatic inflammation. Furthermore, we used multivariable logistic regression analysis to develop the diagnostic model, presented in a nomogram. The discrimination, calibration of the post-LASSO diagnostic model, and the model supplemented with clinical parameters were assessed. Decision curve analysis was performed.ResultsA total of 164 patients were included. Of all patients, 97 (59.1%) had no or mild prostatic inflammation, and 67 (40.9%) had moderate to severe prostatic inflammation. A higher peripheral white blood cell count, higher peripheral lymphocyte count, lower free/total (f/t) PSA ratio, and acute urinary retention history were associated with a higher risk of moderate to severe prostatic inflammation. Peripheral lymphocyte count and f/t PSA ratio were selected by the LASSO method and entered into the nomogram. The post-LASSO diagnostic model had an AUC of 0.756 (95% CI: 0.684-0.829) and good calibration. The addition of clinical parameters failed to show incremental diagnostic value. The decision curve analysis demonstrated that the post-LASSO laboratory nomogram was clinically useful.ConclusionOur findings demonstrated that peripheral lymphocyte count and f/t PSA ratio appear to be reliable diagnostic markers, based on which we build a clinically useful nomogram for prostatic inflammation. This diagnostic model could facilitate the development of anti-inflammatory pharmacotherapy for LUTS/BPH. Before this model is adopted in clinical practice, future validation is needed to determine its clinical utility.

Project description:IntroductionAnteromesial temporal lobe resection is the most common surgical technique used to treat drug-resistant mesial temporal lobe epilepsy, particularly when secondary to hippocampal sclerosis. Structural and functional imaging data suggest the importance of sparing the posterior hippocampus for minimising language and memory deficits. Recent work has challenged the view that maximal posterior hippocampal resection improves seizure outcome. This study was designed to assess whether resection of posterior hippocampal atrophy was associated with improved seizure outcome.MethodsRetrospective analysis of a prospective database of all anteromesial temporal lobe resections performed in individuals with hippocampal sclerosis at our epilepsy surgery centre, 2013-2021. Pre- and post-operative MRI were reviewed by 2 neurosurgical fellows to assess whether the atrophic segment, displayed by automated hippocampal morphometry, was resected, and ILAE seizure outcomes were collected at 1 year and last clinical follow-up. Data analysis used univariate and binary logistic regression.ResultsSixty consecutive eligible patients were identified of whom 70% were seizure free (ILAE Class 1 & 2) at one year. There was no statistically significant difference in seizure freedom outcomes in patients who had complete resection of atrophic posterior hippocampus or not (Fisher's Exact test statistic 0.69, not significant at p < .05) both at one year, and at last clinical follow-up. In the multivariate analysis only a history of status epilepticus (OR=0.2, 95%CI:0.042-0.955, p = .04) at one year, and pre-operative psychiatric disorder (OR=0.145, 95%CI:0.036-0.588, p = .007) at last clinical follow-up, were associated with a reduced chance of seizure freedom.SignificanceOur data suggest that seizure freedom is not associated with whether or not posterior hippocampal atrophy is resected. This challenges the traditional surgical dogma of maximal posterior hippocampal resection in anteromesial temporal lobe resections and is a step further optimising this surgical procedure to maximise seizure freedom and minimise associated language and memory deficits.

Dataset Information

BPH nomogram using IPSS, prostate volume, peak flow rate, PSA and median lobe protrusion for predicting the need for intervention: development and internal validation.

Objective

Material and methods

Results

Conclusion

Publications

BPH nomogram using IPSS, prostate volume, peak flow rate, PSA and median lobe protrusion for predicting the need for intervention: development and internal validation.

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