Objectives To analyse the characteristics and predictors of death in hospitalized patients with coronavirus disease 2019 (COVID-19) in Spain. Methods A retrospective observational study was performed of the first consecutive patients hospitalized with COVID-19 confirmed by real-time PCR assay in 127 Spanish centres until 17 March 2020. The follow-up censoring date was 17 April 2020. We collected demographic, clinical, laboratory, treatment and complications data. The primary endpoint was all-cause mortality. Univariable and multivariable Cox regression analyses were performed to identify factors associated with death. Results Of the 4035 patients, male subjects accounted for 2433 (61.0%) of 3987, the median age was 70 years and 2539 (73.8%) of 3439 had one or more comorbidity. The most common symptoms were a history of fever, cough, malaise and dyspnoea. During hospitalization, 1255 (31.5%) of 3979 patients developed acute respiratory distress syndrome, 736 (18.5%) of 3988 were admitted to intensive care units and 619 (15.5%) of 3992 underwent mechanical ventilation. Virus- or host-targeted medications included lopinavir/ritonavir (2820/4005, 70.4%), hydroxychloroquine (2618/3995, 65.5%), interferon beta (1153/3950, 29.2%), corticosteroids (1109/3965, 28.0%) and tocilizumab (373/3951, 9.4%). Overall, 1131 (28%) of 4035 patients died. Mortality increased with age (85.6% occurring in older than 65 years). Seventeen factors were independently associated with an increased hazard of death, the strongest among them including advanced age, liver cirrhosis, low age-adjusted oxygen saturation, higher concentrations of C-reactive protein and lower estimated glomerular filtration rate. Conclusions Our findings provide comprehensive information about characteristics and complications of severe COVID-19, and may help clinicians identify patients at a higher risk of death.

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...

. A 70-year-old Dominican Republic man presented with lower back pain for 10 days. Fifteen days before pain onset, he had low-grade fever, chills, and asthenia, and 4 days before admission, he had constipation, malaise, generalized weakness, anorexia, nausea, and vomiting. On admission, the patient was afebrile and hypotensive, with a heart rate of 105 and an oxyhemoglobin saturation on room air of 95%. Hyponatremia, lymphopenia, elevated C-reactive protein, and ferritin were observed in complementary tests. Computed tomography (CT) scan showed findings consistent with COVID-19 bilateral bronchopneumonia, and an increase in size and blurring (loss of the Y shape) of both adrenals indicative of acute bilateral adrenal hemorrhage. The patient tested negative by reverse transcription polymerase chain reaction (RT-PCR) of nasopharyngeal swab, yet positive for IgG and IgM by ELISA, suggesting COVID-19 diagnosis.

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Eighteen cases of chikungunya virus infection in travellers returning from Myanmar were reported to the GeoSentinel Surveillance Network, its subnetwork EuroTravNet and TropNet in 2019, reflecting an ongoing local outbreak. This report reinforces the importance of travellers as sentinels of emerging arboviral outbreaks and highlights the importance of vigilance for imported cases, due to the potential for dissemination of the virus into areas with competent local vectors and conducive environmental conditions.

The global threat of measles in recent years affects international travelers, and is acquired in both endemic and outbreak settings. The number of measles cases reported to GeoSentinel has risen each year since 2015 and demonstrates a high median age, short travel duration, and low measles vaccination coverage.

4603 Background: Patients with metastatic renal cell carcinoma have a poor prognosis, including those with pulmonary metastases (PMRCC). The objective of this study was to obtain efficacy and safety data on inhaled rIL-2 used in clinical practice in PMRCC patients. Methods: Data provided from 107 PMRCC patients from 48 centres in Spain and 6 in Portugal, treated with inhaled rIL-2 between 2000 and 2005 were evaluated. Data were analyzed by ITT, considering a valuable patient when receiving the first dose of inhaled rIL-2. The treatment schedule was: 3 cycles of 36 MIU rIL-2 per day for 5 days/week for 12 weeks (with one week treatment free between cycles) in Spain and for 3 weeks (out of each 4 weeks) for 12 weeks in Portugal. Efficacy was assessed by best response following each treatment cycle and overall (WHO criteria). The Kaplan-Meier method was used to estimate progression free survival (PFS) and overall survival (OS) that were measured from the time of administration of the first dose of inhaled rIL-2 until progression or death. Safety data were analysed using descriptive statistics, with toxicities expressed as number of weeks in which each toxicity was reported by cycle and by grade. Results: After 1902 treatment weeks administered (median 17.8), the overall objective response rate (complete and partial response,) was 12.2% (95% CI: 6.0–18.4) and a stable disease rate of 22.45% (95% CI: 14.5–30.3). Median PFS and OS were 3.72 (95% CI: 2.86–4.57) and 18.5 (12.69– 23.61) months, respectively. Non-haematological toxicities were the most notable adverse events observed, especially in terms of cough (20.4% of weeks) and fatigue (4.4%) being grade 1 or 2 in severity and reversible by removing the treatment in all cases. Conclusions: This study provides data of efficacy and mild toxicity of inhaled rIL-2. On the basis of these findings inhaled rIL-2 might be considered as an alternative to its systemic administration to treat patients with PMRCC. No significant financial relationships to disclose.

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