Background Intrauterine devices (IUD) are widely used all over the world. One of the most serious complications is uterine perforation, and it is very rare for the IUD to penetrate the bladder after perforation. Here we report two cases of IUD migration into the bladder, and review the literature to analyze the possible causes and solutions of such complications. Case presentation Case NO. 1 is a 37-year-old female who presented lower urinary tract symptoms for a year. Cystoscopy showed that a strip of metal penetrated into the bladder, and the surface was covered with stones. The patient underwent cystotomy and foreign body removal under general anesthesia. Case NO. 2 is a 46-year-old woman who previously inserted an IUD in 1998, but she had an unexpected pregnancy in 1999. Her doctor believed that "the IUD had spontaneously expulsed" and a new IUD was inserted after her pregnancy was terminated. Her CT scan showed an IUD on the left side of the bladder and another IUD in the uterus. Her foreign body was removed by cystotomy. Conclusion Patients with IUD should be suggested to check the device regularly, and those who with a missed IUD have to rule out the possibility of IUD migration. For patients with IUD combined with lower urinary tract symptoms, it is necessary to be aware of whether IUD perforation affects the bladder.

Background and PurposeThe proportion of patients with somatic diseases associated with anxiety is increasing each year, and pulmonary nodules have become a non-negligible cause of anxiety, the mechanism of which is unclear. The study focus on the cerebral blood flow (CBF) of anxiety in patients with pulmonary nodules to explore the cerebral perfusion pattern of anxiety associated with pulmonary nodules, blood perfusion status and mode of pulmonary nodule induced anxiety state.Materials and MethodsPatients with unconfirmed pulmonary nodules were evaluated by Hamilton Anxiety Scale (HAMA). The total score > 14 was defined as anxiety group, and the total score ≤ 14 points was defined as non-anxiety group. A total of 38 patients were enrolled, of which 19 patients were the anxiety group and 19 were the non-anxiety group. All subjects underwent arterial spin labeling imaging using a 3.0 T MRI. A two-sample t-test was performed to compare the CBF between the two groups. The CBF was extracted in brain regions with difference, and Spearman correlation was used to analyze the correlation between CBF and HAMA scores; ROC was used to analyze the performance of CBF to distinguish between the anxiety group and the non-anxiety group.ResultsThe CBF in the right insula/Heschl’s cortex of the anxiety group decreased (cluster = 109, peak t = 4.124, and P < 0.001), and the CBF in the right postcentral gyrus increased (cluster = 53, peak t = −3.912, and P < 0.001) in the anxiety group. But there was no correlation between CBF and HAMA score. The ROC analysis of the CBF of the right insula/Heschl’s cortex showed that the AUC was 0.856 (95%CI, 0.729, 0.983; P < 0.001), the optimal cutoff value of the CBF was 50.899, with the sensitivity of 0.895, and specificity of 0.789. The ROC analysis of CBF in the right postcentral gyrus showed that the AUC was 0.845 (95%CI, 0.718, 0.972; P < 0.001), the optimal cutoff value of CBF was 43.595, with the sensitivity of 0.737, and specificity of 0.842.ConclusionThe CBF of the right insula/Heschl’s cortex decreased and the CBF of the right postcentral gyrus increased in patients with pulmonary nodules under anxiety state, and the CBF of the aforementioned brain regions can accurately distinguish the anxiety group from the non-anxiety group.

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This study focuses on the prevalence and characteristics of anxiety in patients with pulmonary nodules that was assessed by Hamilton Anxiety Scale (HAMA) scores. A total of 890 patients were enrolled in this study, including incidence of absence of anxiety n = 343 (38.54%), mild or probable anxiety n = 459 (51.57%) and moderate or definite anxiety n = 79 (8.88%) and obvious anxiety n = 9 (1.01%), respectively. According to the definition of anxiety, 88 (9.89%) patients were enrolled in anxiety group. The incidence of anxiety in females was significantly higher than male (11.98% vs. 7.20%, p = 0.018), patients with respiratory symptoms were significantly higher than without respiratory symptoms (13.33% vs. 8.50%, p = 0.029) and diameter of pulmonary nodules >8 mm is significantly higher than ≤8 mm (13.35% vs. 7.10%, p = 0.002). Regression analysis showed that female (OR = 0.548, 95% CI: 0.340–0.884), family history of malignant tumour (OR = 1.691, 95% CI: 1.067–2.678), respiratory symptoms (OR = 1.713, 95% CI: 1.073–2.733) and diameter >8 mm (OR = 2.135, 95% CI: 1.350–3.375) were independent risk factors of anxiety. Further analysis of 88 patients with anxiety showed the sum of psychic anxiety was significantly higher than somatic anxiety (16.66 ± 2.46 vs. 0.97 ± 1.10, p < 0.0001). Hence, vast majority of patients with unconfirmed pulmonary nodules suffered various severity of anxiety and manifested as psychic anxiety. And gender, respiratory symptoms, family history of malignant tumour and diameter of pulmonary nodules were independent influencing factors of anxiety. Effective strategies urgently need exploring and providing for improving the mental health.

Based on population migration data from Baidu and the spatial Durbin model, this paper examines the impact of population mobility on the spatial transmission of COVID-19 and provides a basis for forecasting epidemic transmission and guiding public health intervention plans from the perspectives of population mobility and geographical space. The results show that epidemic spreading displays a clear spatial pattern that includes not only spreading from Wuhan to the surrounding areas but also secondary transmission in the Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta regions through population flows. The epidemic degree in each area is directly affected by the number of population inflows from Wuhan and indirectly affected by the spatial spillover effect from other areas. Due to the lack of strict restrictions on population flows, the spatial spillover effect in areas outside Hubei gradually strengthened after the closure of Wuhan and exceeded the direct effect, and the intensity of population flows within Wuhan had a significant impact on the spread of the epidemic. Without considering the spatial spillover effect, the model will overestimate the impact of population inflows in Wuhan on the local epidemic and underestimate the total effect of regional patterns on epidemic transmission.