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Male chronic prostatitis/chronic pelvic pain syndrome pain severity prediction model and establishment thereof

A technique for chronic prostatitis, severity, applications in diagnostic recording/measurement, computer-aided medical procedures, complex mathematical operations, etc.

Pending Publication Date: 2020-06-19
THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Currently, nomograms are a prognostic method that can improve accuracy and make prognosis more understandable, leading to better clinical decision-making; they are widely used in oncology and medicine, but have not been relevant in the assessment of pain in prostatitis The model can accurately evaluate it, that is, establishing a male chronic prostatitis / chronic pelvic pain syndrome pain severity prediction model can effectively assist doctors in judging prostatitis and improve the efficiency of clinical decision-making

Method used

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  • Male chronic prostatitis/chronic pelvic pain syndrome pain severity prediction model and establishment thereof
  • Male chronic prostatitis/chronic pelvic pain syndrome pain severity prediction model and establishment thereof
  • Male chronic prostatitis/chronic pelvic pain syndrome pain severity prediction model and establishment thereof

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Establishment of a predictive model for pain severity in men with chronic prostatitis / chronic pelvic pain syndrome:

[0027] (1) Crowd selection

[0028] From March 2019 to October 2019, 322 CP / CPPS patients who were treated in the First Affiliated Hospital of Anhui Medical University were selected, and the relevant information of the patients was recorded (this study was approved by the Institutional Review Committee of the First Affiliated Hospital of Anhui Medical University approval); out of 322 patients investigated, 50 patients were excluded due to missing baseline values ​​for continuous variables. The main point of the experiment is the pain degree of CP / CPPS patients. According to the ratio of 3:1, the patients were randomly divided into two groups, namely the training group and the verification group, such as figure 1 shown;

[0029] (2) Variable records

[0030] Obtain effective data from the acquired data of CP / CPPS patients, select 15 variables for furth...

Embodiment 2

[0048] For the verification of the model obtained in the above-mentioned embodiment 1:

[0049] (1) The calibration curve and ROC curve were used to evaluate the calibration and discrimination ability of the nomogram; image 3 A. It can be seen that the calibration curve shows good consistency in the training cohort;

[0050] (2) At the same time by Figure 4 A The known ROC curve confirmed that the predicted value AUC of the nomogram was 0.737;

[0051] (3) Use the validation cohort to verify the calibration and discriminative power of the nomogram, finding the calibration curve from the validation cohort ( image 3 B) and AUC value ( Figure 4 B) shows similar results to the training cohort.

[0052]In summary, the nomogram of the present invention can well predict the pain severity of CP / CPPS patients.

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Abstract

The invention provides a male chronic prostatitis / chronic pelvic pain syndrome pain severity prediction model and establishment thereof, and relates to the field of chronic prostatitis / chronic pelvicpain syndrome pain severity prediction. The pain severity prediction model is established by adopting an advantage ratio OR of variables such as the age of a patient, the level of lecithin bodies in prostatic fluid, urine suppression, anxiety or irritability, contraception, smoking and the like, establishing a column diagram as a model to predict the pain severity of the CP / CPPS patient on the basis of the confidence intervals of 2.5% and 97.5% and the P-value. Establishment of the model mainly comprises the steps of material selection, grouping, variable screening, variable analysis and the like. According to the method, the defects in the prior art are overcome, the pain level of prostatitis can be accurately predicted by establishing the model, and meanwhile, the clinical decision-making efficiency is improved.

Description

technical field [0001] The invention relates to the field of pain prediction of chronic prostatitis / chronic pelvic pain syndrome, in particular to a male chronic prostatitis / chronic pelvic pain syndrome pain severity prediction model and its establishment. Background technique [0002] Prostatitis is a common urological disease. According to research reports, about 35-50% of men suffer from type III prostatitis, and the incidence of prostatitis is higher among men under the age of 50. According to previous research work, it can be known that the prevalence of chronic prostatitis in Chinese men is about 8.4%. According to a proposal by the National Institutes of Health (NIH), prostatitis is divided into four categories: Among them, category III is defined as chronic prostatitis or chronic pelvic pain syndrome (CP / CPPS), which accounts for the majority of prostatitis cases. most. CP / CPPS presents with multiple clinical presentations, such as pelvic or perineal pain, irritat...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70G06F17/18A61B5/00
CPCG16H50/20G16H50/70G06F17/18A61B5/4824
Inventor 张蒙梁朝朝郝宗耀樊松周骏卞子辰牛青松朱晨玉张浩敏孟佳林张力冯新亮陈俊逸
Owner THE FIRST AFFILIATED HOSPITAL OF ANHUI MEDICAL UNIV
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