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A Nomogram Model for Predicting the Postoperative Recurrence of Localized Laryngeal Amyloidosis.
- Source :
- Annals of Otology, Rhinology & Laryngology; Mar2023, Vol. 132 Issue 3, p259-265, 7p
- Publication Year :
- 2023
-
Abstract
- Objective: To analyze the factors related to postoperative recurrence in patients with localized laryngeal amyloidosis (LocLA) and to construct a nomogram prediction model (NPM). Methods: We collected the data for LocLA patients diagnosed from March 2000 to May 2019 and clinical characteristics data were extracted. Factors related to recurrence were analyzed using multivariate logistic regression. The NPM was constructed for predicting the recurrence risk of LocLA. The receiver operating characteristic (ROC) curve evaluated the distinguishing ability using the area under curve (AUC). The calibration curve was created to evaluate the consistency of the NPM. Results: A total of 226 confirmed LocLA cases were included. One hundred seventy-five cases (77.4%) had localized single nodule, and 51 cases had more than one lesions. Sixty-three (27.9%) cases had no multinucleated giant cell (MGC) around amyloid, and 163 (72.1%) cases had MGC around amyloid. Multivariate logistic regression analysis showed that more than one lesions (odds ratio [OR] = 3.206 and 95% confidence interval [CI]: 1.492-6.888; P value:.003), subglottic involvement (OR = 2.926 and 95% CI: 1.300-6.585; P =.010), and no multinucleated giant cell (MGC) around amyloid (OR = 2.503 and 95% CI: 1.173-5.342; P =.018) had a statistically significant effect on postoperative LocLA recurrence (P <.05). The AUC of the ROC curve was 0.753 (95% CI: 0.667-0.832). The bias-corrected curve approached the ideal curve, with an average absolute error of 0.037. Conclusions: More than one lesions, subglottic involvement, and no MGC around amyloid are risk factors for postoperative recurrence of LocLA. The NPM constructed has good applicability. [ABSTRACT FROM AUTHOR]
- Subjects :
- DISEASE relapse
SURGICAL complication risk factors
AMYLOIDOSIS
CONFIDENCE intervals
MULTIPLE regression analysis
CALIBRATION
MULTIVARIATE analysis
SURGERY
PATIENTS
RISK assessment
TREATMENT effectiveness
LARYNGEAL diseases
DESCRIPTIVE statistics
CELLS
CHI-squared test
PREDICTION models
SENSITIVITY & specificity (Statistics)
RECEIVER operating characteristic curves
ODDS ratio
EVALUATION
Subjects
Details
- Language :
- English
- ISSN :
- 00034894
- Volume :
- 132
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Annals of Otology, Rhinology & Laryngology
- Publication Type :
- Academic Journal
- Accession number :
- 161937454
- Full Text :
- https://doi.org/10.1177/00034894221086990