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CompletedNCT06025188Updated Sep 6, 2023

Development and Validation of a Nomogram Predicting the Probability of in Hirschsprung Children Following Surgery

An observational study in Develop a Nomogram, sponsored by Tongji Hospital. Completed at 1 site in China. Open to participants aged 1 Year and older. Per ClinicalTrials.gov, last updated 2023-09-06.

Sponsored by Tongji Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
600
Ages
1 Year and older
Sex
All
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Study summary

Postoperative soiling is a common complication following Hirschsprung disease [HSCR] surgery. The aim of this study was to develop a nomogram for predicting the probability of postoperative soiling in patients aged >1 year operated for HSCR. The investigators retrospectively analyzed HSCR patients with surgical therapy over one year of age from January 2000 and December 2019 at our department. Eligible patients were randomly categorized into the training and validation set at a ratio of 7:3. By integrating the least absolute shrinkage and selection operator [LASSO] and multivariable logistic regression analysis, crucial variables were determined for establishment of nomogram. And, the performance of nomogram was evaluated by C-index,area under the receiver operating characteristic curve [ROC], calibration curves, and decision curve analysis [DCA]. Meanwhile, a validation set was used to further assess the model.

Read the detailed description

This retrospective study was conducted on patients diagnosed with HSCR who underwent surgical treatment at our hospital department from January 2000 to December 2019. This research study was reviewed and approved by the ethics committee at Hospital, waiving the requirement for informed consent in alignment with the Declaration of Helsinki. The number of the institutional reviewboard approval is S108. The diagnosis of HSCR was established through preoperative examinations, which included barium enema, anorectal manometry, and suction rectal biopsy. Additionally, postoperative pathological examination was conducted to further confirm the diagnosis. All operations were performed in accordance with the standard procedures by experienced surgical groups in our department.

2.2. Definition of soiling This study refers to the diagnostic criteria for soiling as described in the published literature . Based on the previously established criteria and clinical experience, patients who experienced soiling persisting for more than six months following surgery were ultimately identified for inclusion in this study. In this study, patients with Down's syndrome, and other established syndromes potentially contributed to maldevelopment were excluded as previous described . In addition, patients who had their initial surgery at another institution were excluded from the study, as well as any participants received staged treatment or had missing data related to soiling.

In this study, The investigators collected the clinical information about patients from a thorough review of relevant literatures and clinical judgement. These data included the age for definitive surgery, sex, weight at operation, premature delivery history, family history, meconium, duration of constipation, conservative treatment, surgical history, surgical techniques, length of removed bowel, surgical procedure, and soiling status. The surgical techniques included laparoscopic-assisted pull-through [LAPT], laparotomy-assisted endorectal pull-through [LEPT], and transanal endorectal pull-through [TEPT]. Length of removed bowel included left colectomy, subtotal ectomy, and total colectomy. Surgical procedures were categorized as Soave, Heart-Shaped, Rebbein, Duhamel, and others. Data with a deletion rate >= 20% were excluded from the analysis. The trimming method was introduced to address with abnormal values and a multiple imputation method was employed to interpolate missing data All patients were randomly assigned into training and validation set in a 7:3 ratio as previous reported. No significant differences were observed in demographic and clinical characteristics between the training and validation sets. To determine potential predictive factors, the training set was subjected to LASSO regression analysis, which effectively eliminated several irrelevant or multicollinearity independent variables to reduce high-dimensional data . Then, the multivariable logistic regression analysis was applied to determine the variables of soiling in patients with HSCR following surgery over one year of age. Finally, a nomogram was created based on the training set and validated in the validation set.

Discrimination and calibration were employed to assess and test the predictive accuracy of the established model. Harrell's concordance index [C-index] and the receiver operating characteristic [ROC] curve [AUC] were generated to estimate the discrimination of the nomogram. A C-index close to 1 indicates a high level of predictive ability of the model. Additionally, an AUC > 0.80 indicates relatively good discrimination. The calibration of the nomogram was accompanied with the Hosmer-Lemeshow test were developed to determine the consistency between the predicted and observed occurrence of soiling. Lastly, DCA was performed to evaluate clinical practicability of the nomograms. Both discrimination and calibration were assessed by bootstrapping with 1000 resamples.

For parameters with continuous variables, the normal distribution was expressed as mean ± standard deviation [SD], and the skewed distribution was presented as median [M] and quartile range [Q25-Q75]. Continuous data between two groups were compared using the independent t-test. The unequal variance t-test was used to compare data between groups with unequal variances. In cases of skewed distribution, the Mann-Whitney U test was employed. Furthermore, categorical data were compared using 2 or Fisher's exact test. Statistical analysis was performed using R Software v.4.0.2 [The R Project for Statistical Computing, www.r-project.org] with the "rms" package utilized for logistic regression analysis and nomogram construction. A two-sided P-value less than 0.05 was considered statistically significant.

02

Conditions studied

  • Develop a Nomogram
03

In context

Lead sponsor

Tongji Hospital is the lead sponsor of 373 studies on the registry; 204 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
1 Year and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

This retrospective study was conducted on patients diagnosed with HSCR who underwent surgical treatment at our hospital department from January 2000 to December 2019.

Inclusion criteria

Patients were experienced soiling persisting for more than 6 months following surgery.

Patients aged >1 year, gender is not limited. The patient must sign an informed consent form and can actively cooperate with the treatment and follow-up.

Exclusion criteria

Exclusion Criteria:

Patients with other severe deformity. Patients with mental symptoms or other disease. patients who had their initial surgery at another institution.

05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
600 participants (actual)
Patient registry
No

Groups and cohorts

  • training set

    To determine potential predictive factors, the training set was subjected to LASSO regression analysis, which effectively eliminated several irrelevant or multicollinearity independent variables to reduce high-dimensional data

    Other: training set

  • validation set

    The multivariable logistic regression analysis was applied to determine the variables of soiling in patients with HSCR following surgery over one year of age. Finally, a nomogram was created based on the training set and validated in the validation set.

    Other: training set

Interventions

  • Othertraining set

    LASSO regression analysis, Logistic regression analysis, Nomogram

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What researchers measure

Primary outcomes

  1. Harrell's concordance index (C-index)

    Harrell's concordance index \[C-index\] was generated to estimate the discrimination of the nomogram A C-index close to 1 indicates a high level of predictive ability of the model.

    Time frame: 1 month

07

Study locations

1 site
  • Tongji hospital affiliated to tongji medical college of huazhong university of science and technology
    Wuhan, Hubei 430030, China
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References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 6, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06025188
Lead sponsor
Tongji Hospital
Responsible party
Jiexiong Feng (Chief in Department, Tongji Hospital) — Principal investigator
First posted
Sep 6, 2023
Start date
Jul 1, 2021
Primary completion
Aug 1, 2021
Completion
Aug 1, 2022
Last update
Sep 6, 2023

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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