scholarly journals Behavioural disorders in children with pectus excavatum in China: a retrospective cohort study with propensity score matching and risk prediction model

2019 ◽  
Vol 56 (3) ◽  
pp. 596-603
Author(s):  
Hongbo Li ◽  
Xianqing Jin ◽  
Shulei Fan ◽  
Daoxin Wang ◽  
Chun Wu ◽  
...  

Abstract OBJECTIVES Surgical repair of pectus excavatum is typically carried out immediately prior to puberty. However, at the time of surgery, some psychosocial issues, such as behavioural disorders may already have developed and the likelihood of these psychosocial disorders resolving after surgery is unclear. For this reason, some surgeons choose to perform surgical repair at an earlier age in some children. The study retrospectively compares the rate of behavioural disorders in children undergoing the Nuss procedure at 4 vs. 10 years of age. We also attempted to develop a model to predict the risk of behavioural disorders in 10 year-old patients. METHODS The current study included children receiving Nuss procedure for pectus excavatum at either 4 or 10 years of age. The presence/absence of behavioural disorder was assessed preoperatively, and in the third year, after removal of the bar. A propensity score matching (PSM) analysis was conducted to reduce the potential for confounding by baseline factors. Multivariable logistic regression was conducted to establish a model to predict the risk of behavioural disorders in the third year after the removal of the bar. The model was accessed by discrimination and calibration. A formula and a nomogram were developed based on the results. RESULTS The number of patients in each group was 45 after PSM. The rate of behavioural disorders at the baseline was significantly higher in the children undergoing Nuss procedure at 10 years of age [36% vs 20%, odds ratio (OR) 2.21, 95% confidence interval (CI) 0.85–5.72; P = 0.157]. The rate of behavioural disorders in the third year after the removal of the bar was 36% and 18% in children undergoing surgery at 10 and 4 years of age, respectively (OR 2.55, 95% CI 0.96–6.79; P = 0.094). The rate of persistent behavioural disorders, defined as continuing to have behavioural disorders in the third year after the removal of the bar in those with behavioural disorders at the baseline, was 88% vs 56% (OR 3.47, 95% CI 0.56–21.36; P = 0.204). Two patients (4%) relapsed in each group. A risk prediction model by variables of gender, Haller index, pulmonary function and score of Child Behaviour Checklist at the baseline was provided. CONCLUSIONS The rate of behavioural disorders was considerably lower in children who underwent the Nuss procedure at 4 years of age than at 10 years of age. Behavioural disorders may not readily resolve after surgery. Performing surgery at an early age rather than just before puberty may be better for psychosocial development. Psychosocial aid is necessary in addition to surgery to address behavioural disorders.

Author(s):  
Nuur Azreen Paiman ◽  
◽  
Azian Hariri ◽  
Ibrahim Masood ◽  
Arma Noor ◽  
...  

2021 ◽  
Vol 79 ◽  
pp. S1112-S1113
Author(s):  
A.A. Nasrallah ◽  
M. Mansour ◽  
C.H. Ayoub ◽  
N. Abou Heidar ◽  
J.A. Najdi ◽  
...  

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Jessica K. Sexton ◽  
Michael Coory ◽  
Sailesh Kumar ◽  
Gordon Smith ◽  
Adrienne Gordon ◽  
...  

Abstract Background Despite advances in the care of women and their babies in the past century, an estimated 1.7 million babies are born still each year throughout the world. A robust method to estimate a pregnant woman’s individualized risk of late-pregnancy stillbirth is needed to inform decision-making around the timing of birth to reduce the risk of stillbirth from 35 weeks of gestation in Australia, a high-resource setting. Methods This is a protocol for a cross-sectional study of all late-pregnancy births in Australia (2005–2015) from 35 weeks of gestation including 5188 stillbirths among 3.1 million births at an estimated rate of 1.7 stillbirths per 1000 births. A multivariable logistic regression model will be developed in line with current TransparentReporting of a multivariable prediction model forIndividualPrognosis orDiagnosis (TRIPOD) guidelines to estimate the gestation-specific probability of stillbirth with prediction intervals. Candidate predictors were identified from systematic reviews and clinical consultation and will be described through univariable regression analysis. To generate a final model, elimination by backward stepwise multivariable logistic regression will be performed. The model will be internally validated using bootstrapping with 1000 repetitions and externally validated using a temporally unique dataset. Overall model performance will be assessed with R2, calibration, and discrimination. Calibration will be reported using a calibration plot with 95% confidence intervals (α = 0.05). Discrimination will be measured by the C-statistic and area underneath the receiver-operator curves. Clinical usefulness will be reported as positive and negative predictive values, and a decision curve analysis will be considered. Discussion A robust method to predict a pregnant woman’s individualized risk of late-pregnancy stillbirth is needed to inform timely, appropriate care to reduce stillbirth. Among existing prediction models designed for obstetric use, few have been subject to internal and external validation and many fail to meet recommended reporting standards. In developing a risk prediction model for late-gestation stillbirth with both providers and pregnant women in mind, we endeavor to develop a validated model for clinical use in Australia that meets current reporting standards.


CHEST Journal ◽  
2019 ◽  
Vol 156 (1) ◽  
pp. 112-119 ◽  
Author(s):  
Heber MacMahon ◽  
Feng Li ◽  
Yulei Jiang ◽  
Samuel G. Armato

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