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Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
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Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
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Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
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Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
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Introduction
Maternal thyroid function plays a critical role in the normal labor process. Whether maternal thyroid function affects the duration of the first stage of labor is still unknown.
Methods
Maternal serum levels of free thyroxine (FT4), thyroid-stimulating hormone (TSH) and thyroid peroxidase antibody (TPOAb) were detected in 31,382 pregnant women. A multiple linear regression model was applied to investigate the effect of maternal thyroid function on the duration of the first stage of labor.
Results
FT4 level in the second trimester and in the third trimester was found to be negatively associated with duration of the first stage of labor (β = −1.30 h, 95% CI: −2.28, −0.32, P < 0.01; β = −0.35 h, 95% CI: −0.61, −0.10, P < 0.01). TSH level in the third trimester was found to be positively associated with the duration of the first stage of labor (β = 0.12 h, 95% CI: 0.06, 0.18, P < 0.001). Per unit increase in TPOAb (IU/mL) in the second trimester and in the third trimester was significantly associated with prolonged first stage of labor (β = 0.08 h, 95% CI: 0.01, 0.14, P = 0.02; β = 0.09 h, 95% CI: 0.02, 0.15, P = 0.01). For pregnant women suffering from subclinical hypothyroidism combined without TPOAb, TSH level in the third trimester exhibited a significant positive association with the length of the first stage of labor (β = 2.44 h, 95% CI: 0.03, 4.84, P = 0.04).
Conclusions
These findings suggest that maternal FT4, TSH and TPOAb might be important predictors of the first stage of labor.
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Background
Graves' disease (GD) among children has attracted wide attention. However, data on long-term follow-up are scarce, especially in China. This study aimed to investigate the prognosis after regular treatments of GD and to identify possible influencing factors.
Methods
A total of 204 newly diagnosed GD children in the Children's Hospital of Nanjing Medical University between 2013 and 2019 were included in this study. The cases involved were divided into remission group, relapse group, and continuing treatment group according to therapy outcomes. Relationships between prognosis and possible influencing factors in remission and relapse groups were analyzed.
Results
All 204 cases were treated with methimazole at presentation with GD. Due to severe complications, 4 (2.0%) cases changed medication to propylthiouracil. Of all the GD children included, 79 (38.7%) had remission, and 40 (50.6%) relapsed after remission. For each additional month before free thyroxine fell into the reference range with treatment, the risk of relapse increased 1.510 times (adjusted odds ratio (OR)=2.510, 95%CI: 1.561–4.034) compared to those in the remission group. On the contrary, the risk of relapse was reduced by 0.548 times for each additional hour of sleep duration per day (adjusted OR=0.452, 95%CI: 0.232–0.879).
Conclusion
GD children have a high relapse rate after remission, and most of them occur within 1 year. Thyroid function should be reexamined regularly after drug withdrawal. The response to medication and lifestyle of GD children may affect the prognosis.
Xi’an Hospital of Traditional Chinese Medicine, Xi’an, China
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Background: Computer-aided diagnosis (CAD) systems are being applied to the ultrasonographic diagnosis of malignant thyroid nodules, but it remains controversial whether the systems add any accuracy for radiologists. Objective: To determine the accuracy of CAD systems in diagnosing malignant thyroid nodules. Methods: PubMed, EMBASE, and the Cochrane Library were searched for studies on the diagnostic performance of CAD systems. The diagnostic performance was assessed by pooled sensitivity and specificity, and their accuracy was compared with that of radiologists. The present systematic review was registered in PROSPERO (CRD42019134460). Results: Nineteen studies with 4,781 thyroid nodules were included. Both the classic machine learning- and the deep learning-based CAD system had good performance in diagnosing malignant thyroid nodules (classic machine learning: sensitivity 0.86 [95% CI 0.79–0.92], specificity 0.85 [95% CI 0.77–0.91], diagnostic odds ratio (DOR) 37.41 [95% CI 24.91–56.20]; deep learning: sensitivity 0.89 [95% CI 0.81–0.93], specificity 0.84 [95% CI 0.75–0.90], DOR 40.87 [95% CI 18.13–92.13]). The diagnostic performance of the deep learning-based CAD system was comparable to that of the radiologists (sensitivity 0.87 [95% CI 0.78–0.93] vs. 0.87 [95% CI 0.85–0.89], specificity 0.85 [95% CI 0.76–0.91] vs. 0.87 [95% CI 0.81–0.91], DOR 40.12 [95% CI 15.58–103.33] vs. DOR 44.88 [95% CI 30.71–65.57]). Conclusions: The CAD systems demonstrated good performance in diagnosing malignant thyroid nodules. However, experienced radiologists may still have an advantage over CAD systems during real-time diagnosis.
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Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Purpose
The aim was to determine the combined value of serological lipid metabolism and an orbital MRI quantitative parameter in predicting the effectiveness of glucocorticoid (GC) therapy in patients with thyroid eye disease (TED).
Methods
This study retrospectively enrolled 46 patients with active and moderate-to-severe TED (GC-effective group, n = 29; GC-ineffective group, n = 17). Serological lipid metabolism, the orbital MRI-based minimum signal intensity ratio of extraocular muscles (EOM-SIRmin), as well as other clinical parameters before GC therapy were collected and compared between the two groups. Multivariate logistic regression and receiver operating characteristic curve analysis were adopted to identify independent predictable variables and assess their predictive performances.
Results
Compared to the GC-ineffective group, the GC-effective group showed lower serum total cholesterol levels (P = 0.006), lower serum low-density lipoprotein cholesterol levels (P = 0.019), higher EOM-SIRmin values (P = 0.005), and shorter disease durations (P = 0.017). Serum total cholesterol and EOM-SIRmin were found to be independent predictors of GC-effective TED through multivariate analysis (odds ratios = 0.253 and 2.036 per 0.1 units, respectively) (both P < 0.05). The integration of serum total cholesterol ≤4.8 mmol/L and EOM-SIRmin ≥ 1.12 had a better predictive efficacy (area under the curve, 0.834) than EOM-SIRmin alone, with a sensitivity of 75.9% and a specificity of 82.4% (P = 0.031).
Conclusion
Serological lipid metabolism, combined with an orbital MRI-derived parameter, was a useful marker for predicting the effectiveness of GCs in patients with active and moderate-to-severe TED.
