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Objective: To test if patients recovering from COVID-19 are at increased risk of mental morbidities and to what extent such risk is exacerbated by illness severity., Design: Population-based cross-sectional study., Setting: Iceland., Participants: A total of 22 861 individuals were recruited through invitations to existing nationwide cohorts and a social media campaign from 24 April to 22 July 2020, of which 373 were patients recovering from COVID-19., Main Outcome Measures: Symptoms of depression (Patient Health Questionnaire), anxiety (General Anxiety Disorder Scale) and posttraumatic stress disorder (PTSD; modified Primary Care PTSD Screen for DSM-5) above screening thresholds. Adjusting for multiple covariates and comorbidities, multivariable Poisson regression was used to assess the association between COVID-19 severity and mental morbidities., Results: Compared with individuals without a diagnosis of COVID-19, patients recovering from COVID-19 had increased risk of depression (22.1% vs 16.2%; adjusted relative risk (aRR) 1.48, 95% CI 1.20 to 1.82) and PTSD (19.5% vs 15.6%; aRR 1.38, 95% CI 1.09 to 1.75) but not anxiety (13.1% vs 11.3%; aRR 1.24, 95% CI 0.93 to 1.64). Elevated relative risks were limited to patients recovering from COVID-19 that were 40 years or older and were particularly high among individuals with university education. Among patients recovering from COVID-19, symptoms of depression were particularly common among those in the highest, compared with the lowest tertile of influenza-like symptom burden (47.1% vs 5.8%; aRR 6.42, 95% CI 2.77 to 14.87), among patients confined to bed for 7 days or longer compared with those never confined to bed (33.3% vs 10.9%; aRR 3.67, 95% CI 1.97 to 6.86) and among patients hospitalised for COVID-19 compared with those never admitted to hospital (48.1% vs 19.9%; aRR 2.72, 95% CI 1.67 to 4.44)., Conclusions: Severe disease course is associated with increased risk of depression and PTSD among patients recovering from COVID-19., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.)

Aims: The aim of this study was to explore differences in self-rated health and physician-diagnosed disease across geographical regions in Iceland to better understand regional requirements for health services., Methods: Data on self-rated health and diagnosed disease from a 2007 national health survey (n=5909; response rate 60.3%) across geographic regions were analysed. Area of residence was classified according to distance from the Capital Area (CA) and availability of local health services. We used regression models to calculate crude and multivariable adjusted odds ratios (aOR) and corresponding 95% confidence intervals (95% CI) of self-rated health and diagnosed diseases by area of residence. Models were adjusted for age, gender, education, civil status, and income., Results: Residents in rural areas with no local health service supply rated their physical health worse than residents of areas with diverse supply of specialised services (aOR 1.40, 95% CI 1.21-1.61). Residents outside the CA rate both their physical (aOR 1.35, 95% CI 1.23-1.50) and mental (aOR 1.17, 95% CI 1.06-1.30) health worse than residents in the CA. In contrast, we observed a lower prevalence of several diagnosed chronic diseases, including cancers (aOR 0.78, 95% CI 0.60-0.99) and cardiovascular disease (aOR 0.77, 95% CI 0.62-0.95) outside the CA., Conclusions: These findings from a national survey of almost 6000 Icelanders indicate that self-rated health is related to regional healthcare supply. The findings have implications for national planning of health services aiming at equality both in health and access to health services.

Objective: The aim of this study was to evaluate the diagnostic accuracy (sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV)) of 64-slice multidetector computed tomography (MDCT) compared with quantitative coronary angiography (QCA) for detection of coronary artery disease (CAD)., Material and Methods: Sixty-nine patients participating in a study of coronary in-stent restenosis were investigated. After a 64-slice MDCT scan patients were evaluated by QCA. The coronary arteries were divided into 15 segments and stenosis was graded for each segment by both methods. The diagnostic accuracy of 64-slice MDCT was evaluated using the QCA as the gold standard., Results: Among the 69 patients included in the study 13 (19%) were female and 56 male. The mean age was 63 (SD 10) years. The following risk factors were present: high blood pressure 67%, elevated blood cholesterol 54%, diabetes 12% and family history of CAD 71%. Current smokers were 22% and previous smokers were 48%. Altogether 663 segments were examined. Of those 221 (33%) segments were excluded; 103 because of stents, 48 because of heavy calcification, 41 because of motion artifacts and 29 because the segments were less than 1.5 mm in diameter. The mean time between MDCT and QCA was 6.3 (SD 12.1) days. The sensitivity of 64-slice MDCT for diagnosing significant stenosis (>or= 50% according to QCA) was 20%, the specificity was 94%, PPV was 16%, NPV was 95% and the accuracy was 89%., Conclusion: High NPV and specificity indicates that MDCT is useful for accurately excluding significant CAD but the low sensitivity and low PPV indicate that the method is not accurate in diagnosing coronary artery stenosis of 50% or more according to QCA.

Lipoxygenases (LOXs) have been implicated in carcinogenesis in various cancer types. In the current study, three structurally different lichen metabolites, protolichesterinic acid (1), lobaric acid (2) and baeomycesic acid (3) were tested for anti-proliferative effects against 12 different human cancer cell lines. All compounds have known in vitro 5-LOX inhibitory activity, and 1 and 2 also inhibit 12-LOX. The activity of the lichen metabolites was compared to that of a specific 5-LOX inhibitor, zileuton (4). The following cancer cell lines were tested: Capan-1, Capan-2 and PANC-1 (all from pancreas), T47-D (breast), PC-3 (prostate), NCI-H1417 (small cell lung), NIH:OVCAR-3 (ovary), AGS (stomach), WiDr (colorectal), HL-60, K-562 and JURKAT (acute promyelocytic, erythro- and T-cell leukemia, respectively). Compound 1 showed the greatest inhibitory effect against all cell lines, with EC50 ranging from 2.4-18.1 microg mL(-1) (7.4-55.8 microM), followed by 2, with EC50 of 15.2 - 65.5 microg mL(-1) (33.2-143.6 microM). The effects of 3 and 4 were of similar orders of magnitude, with EC50 of 28.7 - >80 microg mL(-1) (76.8 - > 213.9 microM) and 12.9 - > 80 microg mL(-1) (50.4 - > 313.7 microM). The dual 5- and 12-LOX inhibitors 1 and to some extent 2 thus exert significant anti-proliferative effects against a variety of human cancer cell lines, while the selective 5-LOX inhibitors 3 and 4 are considerably less active.