Puerperal ovarian vein thrombophlebitis is a rare pathology. We present the case of a 23-year-old female who presented with fever and cough that occurred after vaginal delivery and persisted after several courses of antibiotics between the 2nd and 20th day postpartum. CT pulmonary angiography revealed right subsegmental pulmonary

BackgroundAlthough various prediction models of the antidepressant response have been established, the results have not been effectively applied to heterogeneous depression populations, which has seriously limited their clinical value. This study tried to build a more specific and stable model to predict treatment response in depression based on short-term changes in hippocampal metabolites.Materials and methodsSeventy-four major depressive disorder (MDD) patients and 20 healthy controls in the test set were prospectively collected and retrospectively analyzed. Subjects underwent magnetic resonance spectroscopy (MRS) once a week during 6 weeks of treatment. Hippocampal regions of interest (ROIs) were extracted by using a voxel iteration scheme combined with standard brain templates. The short-term differences in hippocampal metabolites between and within groups were screened. Then, the association between hippocampal metabolite changes and clinical response was analyzed, and a prediction model based on logistic regression was constructed. In addition, a validation set (n = 60) was collected from another medical center to validate the predictive abilities.ResultsAfter 2–3 weeks of antidepressant treatment, the differences in indicators (tChowee0–2, tChowee0–3 and NAA week0–3) were successfully screened. Then, the predictive abilities of these three indicators were revealed in the logistic regression model, and the optimal prediction effect was found in d(tCho)week0–3-d(NAA)week0–3 (AUC = 0.841, 95%CI = 0.736-0.946). In addition, their predictive abilities were further confirmed with the validation set.LimitationsThe small sample size and the need for multiple follow-ups limited the statistical ability to detect other findings.ConclusionThe predictive model in this study presented accurate prediction and strong verification effects, which may provide early guidance for adjusting the treatment regimens of depression and serve as a checkpoint at which the eventual treatment outcome can be predicted.

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Vasculogenic mimicry (VM) in lung cancer shortens overall survival (OS) but its’ associations with postoperative recurrence and progression of early non-small cell lung cancer (NSCLC) remain unclear. The purpose of this study was to analyze the association of VM with postoperative recurrence and progression of NSCLC as well as the effect of VM on postoperative recurrence-free survival (RFS). This study included NSCLC patients and detected VM in surgical specimens. The associations of VM with the recurrence and progression were analyzed to assess the effect of VM on postoperative RFS in NSCLC. A total of 80 NSCLC cases were followed up for 3 years. During follow-up, 35 cases showed recurrence and progression where 5 (6.25%) cases had simple local recurrence and the other 30 (37.5%) cases had distant metastasis. The recurrence and progression rates in the first, second, and third years were 12.50%, 23.75%, and 7.50%, respectively. The median RFS was 14.2 months. VM was detected in 30 out of 80 cases and was significantly correlated with tumor differentiation (r = 0.365) and clinical stage (r = 0.374) (both, P = 0.001). Local recurrence of NSCLC was not correlated with VM, unlike distant metastasis (r = 0.598, P < 0.001). Average RFS was significantly longer in NSCLC patients without VM compared with the VM group 3 years post-operation (32 months versus 18 months, log-rank test P < 0.001). Considering these, VM is significantly correlated with postoperative distant metastasis of NSCLC in which it is of a certain value for predicting poor prognosis in NSCLC.