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2.Ecological momentary assessment (EMA) is a useful tool to investigate antecedents and consequences of nonsuicidal self-injury (NSSI), a robust predictor of Veteran suicide risk. Despite elucidating temporal changes among dynamic variables, EMA remains underutilized to study NSSI among veterans, perhaps due to concerns of safety and utility. The present study analyzed data collected from semi-structured interviews of veterans following a 28-day EMA study of NSSI, including benefits, challenges, and recommendations for improvement. Participants included 34 veterans endorsing NSSI history, most meeting criteria for NSSI Disorder. Qualitative analysis of de-identified transcripts used the rigorous and accelerated data reduction (RADaR) technique and thematic analysis. Findings revealed all veterans reported at least one emotional/social benefit to participation, including finding it therapeutic, gaining self-awareness/insight, and improved social functioning. Challenges and recommendations were primarily technology-related, including adjustment to device use. Many expressed interest in incorporation of clinical resources, use of personal devices/VA app, and ability to share responses with providers. Assessment frequency/content was never described as triggering suicidal/nonsuicidal urges and over half of participants noted urge/behavior reduction. Results support acceptability and safety of EMA for NSSI among veterans and potential clinical utility as a psychotherapy adjunct to promote self-awareness and NSSI reduction.Positive and negative symptoms are core aspects of schizophrenia and have been shown to influence patient quality of life (QOL). Previous studies have largely focused on current or state symptoms, with limited work on the contributions of trait symptoms to QOL. This study sought to examine the relationship between both state and trait symptoms and objective and subjective QOL. Fifty-three schizophrenia spectrum disorder patients and 47 healthy controls were recruited. State symptomatology was assessed using the Positive and Negative Syndrome Scale in the patients only. In all participants, trait symptoms were assessed using the Oxford-Liverpool Inventory of Feelings and Experiences, and QOL using Lehman's QOL Interview. see more Hierarchical linear regression analyses, controlling for depression and neurocognition, revealed that negative state symptoms were related to objective QOL within the patients, while negative trait symptoms were associated with both objective and subjective QOL in patients and healthy controls. No relationships were observed with positive state or trait symptoms and either QOL measure. The findings suggest a degree of complexity in the associations between symptoms and QOL, with primacy for negative symptoms at both state and trait levels. A greater appreciation of trait symptoms may help explain non-complementary QOL changes following symptom remission.
The risk of suicide is related to professional activity. Preliminary data suggest that being in the medical profession increases the risk of suicide in women. The objective of this nationwide study is to compare the death rate of physicians due to suicide with that of the general population and to assess the differences based on gender.
All physicians and the general population who died by suicide in Spain between 2005 and 2014, both inclusive, were studied. Between these years, the Spanish population grew from 43,662,613 to 46,455,123 persons and from 199,123 to 238,240 number of doctors. The data relating to the deaths of physicians were extracted from the databases of the General Council of Official Medical Associations (CGCOM) and data related to the general population were obtained from the National Institute of Statistics (INE). The variables included in the analyses are gender, age, specialty, place of residence and death, and causes of death according to the ICD-10.
The annual mean of physician deaths was 918, with an annual crude rate of 4.8 per 1,000 registered physicians. It is confirmed that physicians have a significantly higher suicide rate (average of 1.3%) than the general population (average of 0.8%) (p=0.003). The comparison of suicide between men and women doctors is significantly higher in women (X2= 53.068, p<0.001). In addition, if we separate by gender, female physicians have a suicide rate 7.5% higher than women from the general population, although the difference is not significant (X2=2.614, p=0.107).
. Suicide is higher among physicians than the general population and affects female physicians significantly more.
. Suicide is higher among physicians than the general population and affects female physicians significantly more.
This study aims to develop an updated mFI (multimorbidity frailty index) using ICD-10-CM codes and to examine the association between frailty and all-cause mortality, unplanned hospitalization, and ICU admission by adopting the updated mFI in the contemporary ICD-10-CM era.
From NHIRD, subjects aged 65-100 years with full National Health Insurance coverage in 2017 were included. We constructed the renewed mFI using ICD-10 CM codes (mFI-v10) by the cumulative deficit approach and categorized the study subjects according to the mFI-v10 quartiles fit, mild frailty, moderate frailty, and severe frailty. Outcomes of interests (1-year mortality, unplanned hospitalization, and intensive care unit (ICU) admission) were assessed using Cox regression analyses, adjusted by sex and age.
Compared with the fit group, those with severe frailty were associated with a 4-fold (adjusted HR 3.86, 95% CI 3.54-4.20) higher risk for death at one year. Subjects with moderate frailty or mild frailty were associated with a 2.4-fold (adjusted HR 2.35, 95% CI 2.18-2.55) or 1.6-fold (adjusted HR 1.57, 95% CI 1.47-1.69) higher risk for death at one year than the fit group. Similar risk trends can also be observed in unplanned hospitalization and intensive care unit (ICU) admission among the study population.
The renewed multimorbidity frailty index constructed from ICD-10 codes is associated with an increased risk of 1-year of all-cause mortality, unplanned hospitalization, and ICU admission. It can provide updated information contributing to risk stratification using frailty index in the ICD-10 era.
The renewed multimorbidity frailty index constructed from ICD-10 codes is associated with an increased risk of 1-year of all-cause mortality, unplanned hospitalization, and ICU admission. It can provide updated information contributing to risk stratification using frailty index in the ICD-10 era.
Given recent evidence suggesting the clot composition may be associated with revascularization outcomes and stroke etiology, clot composition research has been a topic of growing interest. It is currently unclear what effect, if any, pre-thrombectomy thrombolysis has on clot composition. Understanding this association is important as it is a potential confounding variable in clot composition research. We retrospectively evaluated the composition of retrieved clots from ischemic stroke patients who did and did not receive pre-treatment tPA to study the effect of tPA on clot composition.
Consecutive patients enrolled in the Stroke Thromboembolism Registry of Imaging and Pathology (STRIP) were included in this study. All patients underwent mechanical thrombectomy and retrieved clots were sent to a central core lab for processing. Histological analysis was performed using Martius Scarlett Blue (MSB) staining and area of the clot was also measured on the gross photos. Student's t test was used for continuous ved emboli and ischemic stroke patients shows no interaction between tPA administration and clot composition. These findings suggest that tPA does not result in any histological changes in clot composition.
Moyamoya disease patients with hemorrhagic stroke usually have a poor prognosis. This study aimed to determine whether hemorrhagic moyamoya disease could be distinguished from MRA images using transfer deep learning and to screen potential regions that contain rich distinguishing information from MRA images in moyamoya disease.
A total of 116 adult patients with bilateral moyamoya diseases suffering from hemorrhagic or ischemia complications were retrospectively screened. Based on original MRA images at the level of the basal cistern, basal ganglia, and centrum semiovale, we adopted the pretrained ResNet18 to build three models for differentiating hemorrhagic moyamoya disease. Grad-CAM was applied to visualize the regions of interest.
For the test set, the accuracies of model differentiation in the basal cistern, basal ganglia, and centrum semiovale were 93.3%, 91.5%, and 86.4%, respectively. Visualization of the regions of interest demonstrated that the models focused on the deep and periventricular white matter and abnormal collateral vessels in hemorrhagic moyamoya disease.
A transfer learning model based on MRA images of the basal cistern and basal ganglia showed a good ability to differentiate between patients with hemorrhagic moyamoya disease and those with ischemic moyamoya disease. The deep and periventricular white matter and collateral vessels at the level of the basal cistern and basal ganglia may contain rich distinguishing information.
A transfer learning model based on MRA images of the basal cistern and basal ganglia showed a good ability to differentiate between patients with hemorrhagic moyamoya disease and those with ischemic moyamoya disease. The deep and periventricular white matter and collateral vessels at the level of the basal cistern and basal ganglia may contain rich distinguishing information.Research of detection of low molecular weight compounds on human health and biological systems become increasingly important. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), a soft ionization equipment, is a rapid, reliable, high-sensitivity, high-throughput and simple test instrument. However, the application of MALDI-TOF MS in the analysis of small molecules ( less then 500 Da) has become a great challenge because of the interference from the conventional matrices in low mass region when using conventional matrices. In this research, tricobalt tetraoxide (Co3O4) nanocrystals with rich surface hydroxyl groups were synthesized and served as novel matrices for the detection of small molecules by MALDI-TOF MS. In comparison with conventional organic matrices, the use of as-prepared Co3O4 nanocrystal matrices showed little matrix background interference, good reproducibility and high signal intensity in the analyses of amino acids, harmful additives and pesticide residues. For the detection of most amino acids, Co3O4 nanocrystal matrices have good detection performance both in the positive and negative ion modes and have a unique decarboxylation peak in the positive ion mode, which is conducive to the identification of amino acids. In addition, Co3O4 nanocrystals are completely feasible to test triadimefon, pirimicarb and other pesticide residues, as well as additives such as bisphenol A and melamine in the positive ion mode. It is also feasible to detect small molecule compounds in practical samples using Co3O4 nanocrystals as matrices. We believe the work provides an alternative approach for the detection of small molecules and expands the application scope of Co3O4 nanocrystals.
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