Academic literature on the topic '320/.082'

Abstract BACKGROUND: In ruptured cerebral aneurysms (RCAs), identification of the rupture point of a cerebral aneurysm is useful for treatment planning. In unruptured cerebral aneurysms (URCAs), detection of the risk of aneurysmal rupture is also useful for patient management. OBJECTIVE: Electrocardiographic (ECG)-gated 3D-CT angiography was performed for patients with RCAs and URCAs using 320-row area detector CT (ADCT) to detect pulsation of the cerebral aneurysms. The clinical usefulness of this method was then evaluated. METHODS: Twelve patients had 12 RCAs, and 39 patients had 53 URCAs. A 320-row ADCT system was used to scan. ECG-gated reconstruction was then performed with the R-R interval divided into 20 phases. RESULTS: Pulsation was observed in 10 of the 12 RCAs. The bleeding site was considered to correspond to the area of pulsation. Pulsation was observed in 14 of 53 URCAs. Thirteen patients with 18 URCAs were followed. Of the 11 URCAs in which pulsation was not observed, 1 showed a change in shape. Of the 7 URCAs in which pulsation was observed, 3 showed a change in shape. URCAs in which pulsation was observed were more likely to show a change in shape (P = .082). CONCLUSION: The area of pulsation was found to correspond to the bleeding site in many RCAs. This information would be extremely useful for treatment planning. The detection of pulsation in an URCA is therefore considered to provide useful information for patient management.

Background:Exposure to severe or chronic life stressors may alter immune function and high levels of subsequent distress have been implicated in autoimmune disease pathogenesis. Post-traumatic stress disorder (PTSD) is a debilitating psychiatric condition affecting 1-12% of the general population1, occurring in response to traumatic events. Growing evidence supports an association between trauma exposure and PTSD with systemic lupus erythematosus (SLE) onset2.Objectives:To cross-sectionally assess PTSD prevalence in a cohort of patients with SLE and to examine its correlation with quality of life.Methods:A 189-item anonymous questionnaire including demographics, disease features, the 9-domain Trauma and Loss Spectrum – Self Report (TALS-SR) and the 8-domain Lupus Quality of Life (Lupus QoL) was administered via web to a cohort of patients with SLE. Patients were classified as PTSD cases based on TALS-SR items corresponding to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for PTSD.Results:Ninety-nine (95% female and 5% male) patients with a median follow-up of 16.5 years completed the questionnaire. Self-reported fatigue prevalence was 75%. Fifteen patients (15%) reportedly were on psychological and/or psychiatric support. Thirty-one patients (31%) met the DSM-5 criteria for PTSD. The average LupusQoL interdomain score was 80/100. PTSD cases reported significantly lower scores compared to non-cases in three LupusQoL domains: planning (83 vs. 100, p=0.035), body image (85 vs. 95, p=0.031), and fatigue (67 vs. 92, p=0.001). An inverse correlation between TALS-SR scores and Lupus QoL subscales was found (Table1). In particular, the degree of stress secondary to losses or upsetting events was strongly correlated to fatigue intensity (rho= -0.458, p<0.001).Conclusion:PTSD prevalence might be higher in SLE than in the general population and have a detrimental influence on quality of life. Fatigue perception might be more significantly affected by PTSD. Intervention studies are needed to assess the therapeutical effects of psychological support in patients with SLE.References:[1]Shalev A et al. Post-Traumatic Stress Disorder. New England Journal of Medicine, June 2017.[2]Roberts AL et al. Association of Trauma and Posttraumatic Stress Disorder With Incident Systemic Lupus Erythematosus in a Longitudinal Cohort of Women. Arthritis & Rheumatology, November 2017.Table 1.Spearman rho coefficients outlining correlation across Lupus QoL and TALS-SR domains. The highest negative correlation has been found between fatigue and reaction to traumatic events. Significant correlations boxes are coloured in yellow (weak, rho 0.20-0.39) and red (moderate, rho 0.40-0.59). * p<0.05, ** p<0.01.LupusQoL DomainsLupus QoL Total ScorePhysical healthPainPlanningIntimate relationshipsBurden to othersEmotional healthBody imageFatigueTALS-SR DomainsLoss events-.217-.217-.096-.031.047-.022.076-.009-.061Grief reactions-.145-.104-.041-.018-.124-.172-.192-.149-.107Potentially traumatic events.039-.082-.169-.167-.207-.185-.046-.229-.096Reaction to losses or upsetting events-.221-.256*-.289*-.218-.290*-.369**-.371**-.458**-.341**Re-experiencing-.139-.215-.245*-.228-.320**-.275*-.287*-.342**-.274*Avoidance and numbing-.176-.246*-.279*-.257*-.337**-.405**-.413**-.406**-.338**Maladaptive coping-.190-.238-.294*-.282*-.324**-.340**-.358**-.405**-.327**Arousal-.134-.177-.263*-.320**-.283*-.279*-.321**-.397**-.282*Personal characteristics / risk factors-.044-.115-.266*-.189-.409**-.231-.197-.253*-.199Disclosure of Interests:Luca Moroni: None declared, Martina Mazzetti: None declared, Giuseppe Alvise Ramirez: None declared, Simone Zuffada: None declared, Nicola Farina: None declared, Enrica Bozzolo: None declared, Valentina Di Mattei: None declared, Lorenzo Dagna Consultant of: Abbvie, Amgen, Biogen, BristolMyers Squibb, Celltrion, Galapagos, GlaxoSmithKline, Novartis, Pfizer, Roche, Sanofi-Genzyme, and SOBI, Grant/research support from: The Unit of Immunology, Rheumatology, Allergy and Rare Diseases (UnIRAR) received unresctricted research/educational grants from Abbvie, Bristol-Myers Squibb, Celgene, GlaxoSmithKline,Janssen, Merk Sharp & Dohme, Mundipharma Pharmaceuticals, Novartis, Pfizer, Roche, Sanofi Genzyme, and SOBI

Malate dehydrogenase (MDH) electrophoretic mobility patterns were used as a standard against which field methods involving anal fin ray counts (AFCs) and extrinsic gasbladder muscle (EGM) rib passage patterns were compared to separate the beaked redfish species, Sebastes fasciatus and S. mentella. The frequencies of MDH-A phenotypes were determined for 1125 beaked redfish examined from a winter survey in 1983 and 376 from a summer survey in 1984. Allele frequencies were calculated from the MDH-A phenotypic data for the winter survey. The low mobility of the A2 phenotype was characteristic of 90% of S. fasciatus sampled at depths < 320 m in winter and at depths < 250 m in summer. The high-mobility A1 and heterozygotic A1/A2 phenotypes were prevalent in 95% of S. mentella sampled below these depths. The mobility patterns agreed with predominant AFCs ([Formula: see text] for S. fasciatu[Formula: see text] for S. mentella) for all stations in the deep and shallow zones. The MDH mobility patterns showed 93% agreement with EGM patterns for S. fasciatus but only 53% agreement for S. mentella. An overlap of AFCs, of main EGM patterns, and of tendon to vertebrae attachments and the variation from set to set in A1/A2 heterozygotic phenotypes suggest that these species hybridize in the Gulf of St. Lawrence.

ImportanceCerebral amyloid angiopathy (CAA) is a common cause of spontaneous intracerebral hemorrhage in older patients. Although other types of intracranial hemorrhage can occur in conjunction with CAA-related intracerebral hemorrhage, the association between CAA and other subtypes of intracranial hemorrhage, particularly in the absence of intracerebral hemorrhage, remains poorly understood.ObjectiveTo determine whether CAA is an independent risk factor for isolated nontraumatic subdural hemorrhage (SDH).Design, Setting, and ParticipantsA population-based cohort study was performed using a 2-stage analysis of prospectively collected data in the UK Biobank cohort (discovery phase, 2006-2022) and the All of Us Research Program cohort (replication phase, 2018-2022). Participants included those who contributed at least 1 year of data while they were older than 50 years, in accordance with the diagnostic criteria for CAA. Participants with prevalent intracranial hemorrhage were excluded. Data were analyzed from October 2022 to October 2023.ExposureA diagnosis of CAA, identified using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis code.Main Outcomes and MeasuresThe outcome was an isolated nontraumatic SDH, identified using ICD-10-CM codes. Two identical analyses were performed separately in the 2 cohorts. First, the risk of SDH in patients with and without CAA was assessed using Cox proportional hazards models, adjusting for demographic characteristics, cardiovascular comorbidities, and antithrombotic medication use. Second, multivariable logistic regression was used to study the association between CAA and SDH.ResultsThe final analytical sample comprised 487 223 of the total 502 480 individuals in the UK Biobank cohort and 158 008 of the total 372 082 individuals in the All of Us cohort. Among the 487 223 participants in the discovery phase of the UK Biobank, the mean (SD) age was 56.5 (8.1) years, and 264 195 (54.2%) were female. There were 649 cases of incident SDH. Of the 126 participants diagnosed with CAA, 3 (2.4%) developed SDH. In adjusted Cox regression analyses, participants with CAA had an increased risk of having an SDH compared with those without CAA (hazard ratio [HR], 8.0; 95% CI, 2.6-24.8). Multivariable logistic regression analysis yielded higher odds of SDH among participants with CAA (odds ratio [OR], 7.6; 95% CI, 1.8-20.4). Among the 158 008 participants in the All of Us cohort, the mean (SD) age was 63.0 (9.5) years, and 89 639 (56.7%) were female. The findings were replicated in All of Us, in which 52 participants had CAA and 320 had an SDH. All of Us participants with CAA had an increased risk of having an SDH compared with those without CAA (HR, 4.9; 95% CI, 1.2-19.8). In adjusted multivariable logistic regression analysis, CAA was associated with higher odds of SDH (OR, 5.2; 95% CI, 0.8-17.6).Conclusions and RelevanceIn 2 large, heterogeneous cohorts, CAA was associated with increased risk of SDH. These findings suggest that CAA may be a novel risk factor for isolated nontraumatic SDH.