Henningsenjosefsen2885
Recently, stratification of high-risk stage II colon cancer (CC) and the need for adjuvant chemotherapy have been the focus of attention. The aim of this retrospective study was to define high-risk factors for recurrent stage II CC using Prediction One auto-artificial intelligence (AI) software and develop a new predictive model for high-risk stage II CC.
The study included 259 consecutive pathological stage II CC patients undergoing curative resection at our institution between January 2000 and December 2016. Prediction One software with five-fold cross-validation was used to create a predictive model and receiver operating characteristic (ROC) curve. Predictive accuracy of AI was evaluated using the area under the ROC curve (AUC). We also evaluated the importance of variables (IOV) using a method based on permutation feature importance (IOV > 0.01 defined high-risk factors) to evaluate disease-free survival (DFS).
The median observation period was 6.1 (range = 0.3-15.8) years. Thirty-seven patients had recurrence (14.3%); the AUC of the AI model was 0.775. Preoperative carcinoembryonic antigen > 5.0ng/mL (IOV = 0.047), venous invasion (IOV = 0.014), and obstruction (IOV = 0.012) were high-risk factors contributing to cancer recurrence. Patients with 2-3 high-risk factors had lower 5-year DFS than those with 0-1 factor (87.4% vs 62.7%, p < 0.001).
We developed a new predictive model that could predict recurrent high-risk stage II CC with high probability using auto-AI Prediction One software. Patients with ≥ 2 of the aforementioned factors are considered to have high risks for recurrent stage II CC and may benefit from adjuvant chemotherapy.
We developed a new predictive model that could predict recurrent high-risk stage II CC with high probability using auto-AI Prediction One software. selleck chemicals Patients with ≥ 2 of the aforementioned factors are considered to have high risks for recurrent stage II CC and may benefit from adjuvant chemotherapy.Changes in gambling advertising during national COVID-19 'lockdowns', when stay-at-home rules restricted participation in certain gambling activities, provides important context to variance in gambling behaviour during these periods. This study describes expenditure on paid-for gambling advertising during three national lockdowns, compares expenditure to pre-pandemic estimates, and compares changes in expenditure by subsector. Data come from an observational study of weekly expenditure on paid-for gambling advertising in the United Kingdom (n = 135 weeks; beginning 2019 to mid-2021), focusing on three COVID-19 lockdowns (1) March-May 2020; (2) November-December 2020; and (3) January-March 2021. We descriptively analysed how total advertising expenditure in each lockdown (£GBP, inflation-adjusted) compared to the same time points in 2019, both overall and by subsector (bookmakers, lotteries, online bingo, online casino and poker, gaming, pools, mobile content). Gambling advertising expenditure during lockdown one was 38.5% lower than 2019 (£43.5 million[m] vs. £70.7 m, respectively), with decreases across all subsectors (range -81.7% [bookmakers] to -2.8% [online bingo]). Total advertising expenditure in lockdown two was 49.3% higher than 2019 (£51.7 m vs. £34.6 m), with increases for 5/7 subsectors (range -31.6% [mobile content] to + 103.8% [bookmakers]). In lockdown three, advertising expenditure was 5.9% higher than 2019 (£91.2 m vs. £86.1 m), with increases for 4/7 subsectors (range -92.4% [pools] to + 49.2% [mobile content]). Reductions in advertising expenditure in lockdown one are congruent with self-reported reductions in overall gambling also observed during this period. Further research is needed to determine whether increased advertising expenditure in lockdowns two and three correlates with increased gambling, overall and for specific subsectors.
There are different types of malignant tumors that can affect the thyroid gland where differentiated thyroid carcinomas (papillary and follicular) are the most common representing nearly 90% of cases. Non-epithelial malignancies were also reported to affect the thyroid gland particularly lymphomas and sarcomas that were reported in literature to range from 0.01 to 1.5% of thyroid carcinoma. Herein, we present a case with primary thyroid chondrosarcoma, an extremely rare malignancy of the thyroid gland.
We present a 79-year-old female patient complaining of hard thyroid swelling that was proved to be primary thyroid chondrosarcoma after histopathological assessment.
Chondrosarcoma of the thyroid gland is extremely rare either in the primary or metastatic setting. Although the prognosis is bad, surgery is the main line of treatment after early prompt diagnosis.
Chondrosarcoma of the thyroid gland is extremely rare either in the primary or metastatic setting. Although the prognosis is bad, surgery is the main line of treatment after early prompt diagnosis.Pyrethroid insecticides have been extensively used worldwide, but few studies explored the prospective association between pyrethroid exposure and incident type 2 diabetes (T2D). We conducted a nested case-control study of 2012 paired cases and controls, and measured eight pyrethroid insecticides in the baseline sera. We used conditional logistic regression models to estimate odds ratios (ORs) with 95% confidence intervals, and constructed multiple-pollutant models to investigate the association of pyrethroid mixture with incident T2D risk. The median concentrations (detection rates) were 3.53 μg/L (92.45%), 0.52 μg/L (99.80%), 1.16 μg/L (90.61%) and 1.43 μg/L (99.95%) for permethrin, cypermethrin, fenvalerate, and deltamethrin, respectively. Compared to participants with serum fenvalerate levels in the first quartile, the multivariable-adjusted ORs of incident T2D were 1.20 (95% CI 0.86-1.67), 1.41 (0.97-2.05), and 2.29 (1.27-4.11) for the second, third and fourth quartile (P trend = 0.01). Spline analysis further confirmed the positive association between serum fenvalerate levels and incident T2D risk (P for overall association = 0.006). Furthermore, mixture models revealed a positive association of pyrethroid mixture with incident T2D risk, with serum fenvalerate ranked as the top contributor (proportion of relative contribution > 70%). We found that high concentrations of serum pyrethroid insecticides were significantly associated with an increased risk of incident T2D. The elevated risk was largely explained by fenvalerate. Further investigations are urgently needed to confirm our findings and elucidate the underlying mechanisms, given the widespread use of pyrethroids and the global pandemic of diabetes.
Sleep disturbances was associated with numerous adverse health outcomes. Many studies have reported that long-term exposure to job stress can lead to sleep disturbances, which may be influenced by genetic and environmental factors.
This cross-sectional study investigated whether circadian clock gene polymorphisms modulated the influence of job stress on sleep disturbances in a Chinese Han population, which to our best knowledge has not been explored.
The Effort-Reward Imbalance (ERI) scale and the Pittsburgh Sleep Quality Index (PSQI) were both used to access job stress and sleep disturbances. The SNaPshot SNP assay was carried out by screening for circadian clock gene polymorphisms in every participant. Interactions associated with sleep disturbances were assessed by linear hierarchical regression analysis and SPSS macros (PROCESS).
Linear hierarchical regression analysis showed that job stress was significantly related to sleep disturbances. Likewise, our study found a significant effect of PER2 rs2304672 polymorphisms on sleep disturbances (p < 0.01), after controlling for confounding factors. In addition, the PER2 rs2304672 genotype modulated the relationship between job stress and sleep disturbances (β = 0.414, p = 0.007). Interestingly, further analysis of the results of the PER2 gene rs2304672 × job stress interaction showed that rs2304672 G-allele carriers had a high-risk effect on sleep disturbances under high job stress.
Our results suggest that the PER2 rs2304672 polymorphism may modulate the influence of job stress on sleep disturbances. These findings contribute to the field of sleep disturbances prevention and treatment.
Our results suggest that the PER2 rs2304672 polymorphism may modulate the influence of job stress on sleep disturbances. These findings contribute to the field of sleep disturbances prevention and treatment.
Computed tomography perfusion imaging (CTPI) by repeated scanning has clinical relevance but implies relatively high radiation exposure. We present a method to measure perfusion from two CT scan phases only, considering tissue enhancement, feeding vessel (aortic) peak enhancement, and bolus shape.
CTPI scans (each with 40 frames acquired every 1.5s) of 11 patients with advanced hepatocellular carcinoma (HCC) enrolled between 2012 and 2016 were retrospectively analysed (aged 69 ± 9years, 8/11 males). Perfusion was defined as themaximal slope of the time-enhancement curve divided by the peak enhancement of the feeding vessel (aorta). Perfusion was computed two times, first using the maximum slope derived from all data points and then using the peak tissue enhancement and the bolus shape obtained from the aortic curve.
Perfusion values from the two methods were linearly related (r
= 0.92, p < 0.001; Bland-Altman analysis bias -0.12). The mathematical model showed that the perfusion ratio of two ROIs with the same feeding vessel (aorta) corresponds to their peak enhancement ratio (r
= 0.55, p < 0.001; Bland-Altman analysis bias -0.68). The relationship between perfusion and tissue enhancement is predicted to be linear in the clinical range of interest, being only function of perfusion, peak feeding vessel enhancement, and bolus shape.
This proof-of-concept study showed that perfusion values of HCC, kidney, and pancreas could be computed using enhancement measured only with two CT scan phases, if aortic peak enhancement and bolus shape are known.
This proof-of-concept study showed that perfusion values of HCC, kidney, and pancreas could be computed using enhancement measured only with two CT scan phases, if aortic peak enhancement and bolus shape are known.
Chronic headache due to the overuse of medication for the treatment of migraine attacks has a prevalence of 0.5-2.0%. This guideline provides guidance for the management of medication overuse (MO) and medication overuse headache (MOH).
Treatment of headache due to overuse of analgesics or specific migraine medications involves several stages. Patients with medication overuse (MO) or medication overuse headache (MOH) should be educated about the relationship between frequent use of symptomatic headache medication and the transition from episodic to chronic migraine (chronification), with the aim of reducing and limiting the use of acute medication. In a second step, migraine prophylaxis should be initiated in patients with migraine and overuse of analgesics or specific migraine drugs. Topiramate, onabotulinumtoxinA and the monoclonal antibodies against CGRP or the CGRP-receptor are effective in patients with chronic migraine and medication overuse. In patients with tension-type headache, prophylaxis is performed with amitriptyline.
