Background The clinical presentation of COVID-19 in patients admitted to hospital is heterogeneous. We aimed to determine whether clinical phenotypes of patients with COVID-19 can be derived from clinical data, to assess the reproducibility of these phenotypes and correlation with prognosis, and to derive and validate a simplified probabilistic model for phenotype assignment. Phenotype identification was not primarily intended as a predictive tool for mortality. MethodsIn this study, we used data from two cohorts: the COVID-19@Spain cohort, a retrospective cohort including 4035 consecutive adult patients admitted to 127 hospitals in Spain with COVID-19 between Feb 2 and March 17, 2020, and the COVID-19@HULP cohort, including 2226 consecutive adult patients admitted to a teaching hospital in Madrid between Feb 25 and April 19, 2020. The COVID-19@Spain cohort was divided into a derivation cohort, comprising 2667 randomly selected patients, and an internal validation cohort, comprising the remaining 1368 patients. The COVID-19@HULP cohort was used as an external validation cohort. A probabilistic model for phenotype assignment was derived in the derivation cohort using multinomial logistic regression and validated in the internal validation cohort. The model was also applied to the external validation cohort. 30-day mortality and other prognostic variables were assessed in the derived phenotypes and in the phenotypes assigned by the probabilistic model. Findings Three distinct phenotypes were derived in the derivation cohort (n=2667)-phenotype A (516 [19%] patients), phenotype B (1955 [73%]) and phenotype C (196 [7%])-and reproduced in the internal validation cohort (n=1368)phenotype A (233 [17%] patients), phenotype B (1019 [74%]), and phenotype C (116 [8%]). Patients with phenotype A were younger, were less frequently male, had mild viral symptoms, and had normal inflammatory parameters. Patients with phenotype B included more patients with obesity, lymphocytopenia, and moderately elevated inflammatory parameters. Patients with phenotype C included older patients with more comorbidities and even higher inflammatory parameters than phenotype B. We developed a simplified probabilistic model (validated in the internal validation cohort) for phenotype assignment, including 16 variables. In the derivation cohort, 30-day mortality rates were 2•5% (95% CI 1•4-4•3) for patients with phenotype A, 30•5% (28•5-32•6) for patients with phenotype B, and 60•7% (53•7-67•2) for patients with phenotype C (log-rank test p<0•0001). The predicted phenotypes in the internal validation cohort and external validation cohort showed similar mortality rates to the assigned phenotypes (internal validation cohort: 5•3% [95% CI 3•4-8•1] for phenotype A, 31•3% [28•5-34•2] for phenotype B, and 59•5% [48•8-69•3] for phenotype C; external validation cohort: 3•7% [2•0-6•4] for phenotype A, 23•7% [21•8-25•7] for phenotype B, and 51•4% [41•9-60•7] for phenotype C).Interpretation Patients admitted to hospital with COVID-19 can be classified into three...

ObjectivesSexualized intravenous drug use, also known as slamsex, seems to be increasing among HIV-positive men who have sex with men (MSM). Physical and psychopathological symptoms have previously been reported in this population, although research on the subject of slamsex is scarce. The objectives of our study were to describe the psychopathological background of a sample of HIV-positive MSM who engaged in slamsex during the previous year and to compare physical, psychopathological, and drug-related symptoms between these participants and those who engaged in non-injecting sexualized drug use.Design and methodsParticipants (HIV-positive MSM) were recruited from the U-Sex study in 22 HIV clinics in Madrid during 2016–17. All participants completed an anonymous cross-sectional online survey on sexual behavior and recreational drug use. When participants met the inclusion criteria, physicians offered them the opportunity to participate and gave them a card with a unique code and a link to access the online survey. The present analysis is based on HIV-positive MSM who had engaged in slamsex and non-injecting sexualized drug use.ResultsThe survey sample comprised 742 participants. Of all the participants who completed the survey, 216 (29.1%) had engaged in chemsex, and of these, 34 (15.7%) had engaged in slamsex. Participants who engaged in slamsex were more likely to have current psychopathology (depression, anxiety, and drug-related disorders) than participants who engaged in non-injecting sexualized drug use. In addition, participants who engaged in slamsex more frequently reported high-risk sexual behaviors and polydrug use and were more often diagnosed with sexually transmitted infections (STIs) and hepatitis C than those who did not inject drugs. Compared with participants who did not inject drugs, participants who engaged in slamsex experienced more severe drug-related symptoms (withdrawal and dependence), symptoms of severe intoxication (loss of consciousness), and severe psychopathological symptoms during or after slamsex (eg, paranoid thoughts and suicidal behaviors).ConclusionSlamsex is closely associated with current psychiatric disorders and severe drug-related and psychiatric symptoms.

NCT02159599.

Both hepatitis C virus (HCV) infection and human immunodeficiency virus (HIV) infection areunderdiagnosed, particularly in low-income countries and in difficult-to-access populations. Our aim was to develop and evaluate a methodology for the detection of HCV and HIV infection based on capillary dry blood spot (DBS) samples taken under real-world conditions. We carried out a crosssectional study of 139 individuals (31 healthy controls, 68 HCV-monoinfected patients, and 40 HCV/ HIV-coinfected patients). ELISA was used for anti-HCV and anti-HIV antibody detection; and SYBR Green RT-PCR was used for HCV-RNA detection. The HIV serological analysis revealed 100% sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The HCV serological analysis revealed a sensitivity of 92.6%, specificity of 100%, PPV of 100%, and NPV of 79.5%. Finally, the HCV-RNA detection test revealed a detection limit of 5 copies/µl with an efficiency of 100% and sensitivity of 99.1%, specificity of 100%, PPV of 100%, and NPV of 96.9%. In conclusion, our methodology was able to detect both HCV infection and HIV infection from the same DBS sample with good diagnostic performance. Screening for HCV and HIV using DBS might be a key strategy in the implementation of national programs for the control of both infections.Hepatitis C virus (HCV) infection is a major health problem worldwide. Approximately 71 million persons live with HCV infection, and around 80% are undiagnosed 1 . Infection by human immunodeficiency virus (HIV) continues to be a major public health issue, with a global prevalence of 0.8% among adults, of whom around 30% are undiagnosed 2 . Both HIV and HCV share routes of transmission, and their diagnosis is a priority in public health strategies throughout the world 1,2 . On the one hand, HIV infection is diagnosed increasingly frequently in resource-limited settings through implementation of HIV testing programs; however, HIV testing is still not reaching some communities (eg, people who inject drugs [PWID], sex workers, homeless persons), resulting in late presentation 3 . On the other hand, diagnosis of HCV remains problematic for many low-income countries and difficult-to-access populations in developed countries 4 , where most individuals remain unaware of their HCV status until advanced stages of the disease 5-7 .Traditionally, diagnosis of HIV and HCV infection has been based on the detection of antibodies, antigens, and the viral genome in blood samples obtained by routine venous blood collection 5,8 . However, the use of capillary whole blood in dried blood spot (DBS) specimens may be an excellent alternative in both serological and nucleic acid testing (NAT) assays for the screening of HIV and HCV infection, since these approaches are less invasive, samples can be stored and transported without refrigeration, and highly trained personnel are not necessary 5,9,10 . Therefore, DBS may facilitate diagnosis of HIV and HCV infection in settings where access to screening is difficult. In fa...

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