Dysnatremia is associated with increased mortality in patients with community-acquired pneumonia. SARS-COV2 (Severe-acute-respiratory syndrome caused by Coronavirus-type 2) pneumonia can be fatal. The aim of this study was to ascertain whether admittance dysnatremia is associated with mortality, sepsis, or intensive therapy (IT) in patients hospitalized with SARS-COV2 pneumonia. This is a retrospective study of the HOPE-COVID-19 registry, with data collected from January 1th through April 31th, 2020. We selected all hospitalized adult patients with RT-PCR-confirmed SARS-COV2 pneumonia and a registered admission serum sodium level (SNa). Patients were classified as hyponatremic (SNa <135 mmol/L), eunatremic (SNa 135–145 mmol/L), or hypernatremic (SNa >145 mmol/L). Multivariable analyses were performed to elucidate independent relationships of admission hyponatremia and hypernatremia, with mortality, sepsis, or IT during hospitalization. Four thousand six hundred sixty-four patients were analyzed, median age 66 (52–77), 58% males. Death occurred in 988 (21.2%) patients, sepsis was diagnosed in 551 (12%) and IT in 838 (18.4%). Hyponatremia was present in 957/4,664 (20.5%) patients, and hypernatremia in 174/4,664 (3.7%). Both hyponatremia and hypernatremia were associated with mortality and sepsis. Only hyponatremia was associated with IT. In conclusion, hyponatremia and hypernatremia at admission are factors independently associated with mortality and sepsis in patients hospitalized with SARS-COV2 pneumonia.Clinical Trial Registrationhttps://clinicaltrials.gov/ct2/show/NCT04334291, NCT04334291.

Background Coronavirus disease 2019 (COVID-19) is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite its international aggressive extension, with a significant morbidity and mortality, the impact of renal function on its prognosis is uncertain. Methods Analysis from the international HOPE-Registry (NCT04334291). The objective was to evaluate the association between kidney failure severity on admission with the mortality of patients with SARS-CoV-2 infection. Patients were categorized in 3 groups according to the estimated glomerular filtration rate on admission (eGFR > 60 mL/min/1.73 m 2 , eGFR 30-60 mL/min/1.73 m 2 and eGFR < 30 mL/min/1.73 m 2 ). Results 758 patients were included: mean age was 66 ± 18 years, and 58.6% of patient were male. Only 8.5% of patients had a history of chronic kidney disease (CKD); however, 30% of patients had kidney dysfunction upon admission (eGFR < 60 mL/ min/1.73 m 2 ). These patients received less frequently pharmacological treatment with hydroxychloroquine or antivirals and had a greater number of complications such as sepsis (11.9% vs 26.4% vs 40.8%, p < 0.001) and respiratory failure (35.4% vs 72.2% vs 62.0%, p < 0.001) as well as a higher in-hospital mortality rate (eGFR > 60 vs eGFR 30-60 vs and eGFR < 30, 18.4% vs 56.5% vs 65.5%, p < 0.001). In multivariate analysis: age, hypertension, renal function, 0 2 saturation < 92% and lactate dehydrogenase elevation on admission independently predicted all-cause mortality. Conclusions Renal failure on admission in patients with SARS-CoV-2 infection is frequent and is associated with a greater number of complications and in-hospital mortality. Our data comes from a multicenter registry and therefore does not allow to have a precise mortality risk assessment. More studies are needed to confirm these findings.

Background The coronavirus disease 2019 (COVID-19) is characterized by poor outcomes and mortality, particularly in older patients. Methods Post-hoc analysis of the international, multicentre, “real-world” HOPE COVID-19 registry. All patients aged ≥65 years hospitalised for COVID-19 were selected. Epidemiological, clinical, analytical and outcome data were obtained. A comparative study between two age subgroups, 65–74 and ≥75 years, was performed. The primary endpoint was all cause in-hospital mortality. Results 1,520 patients aged ≥65 years (60.3% male, median age of 76 [IQR 71–83] years) were included. Comorbidities such as hypertension (69.2%), dyslipidemia (48.6%), cardiovascular diseases (any chronic heart disease in 38.4% and cerebrovascular disease in 12.5%), and chronic lung disease (25.3%) were prevalent, and 49.6% were on ACEI/ARBs. Patients aged 75 years and older suffered more in-hospital complications (respiratory failure, heart failure, renal failure, sepsis) and a significantly higher mortality (18.4 vs. 48.2%, P &lt; 0.001), but fewer admissions to intensive care units (11.2 vs. 4.8%). In the overall cohort, multivariable analysis demonstrated age ≥75 (OR 3.54), chronic kidney disease (OR 3.36), dementia (OR 8,06), peripheral oxygen saturation at admission &lt;92% (OR 5.85), severe lymphopenia (&lt;500/mm3) (OR 3.36) and qSOFA (Quick Sequential Organ Failure Assessment Score) &gt;1 (OR 8.31) to be independent predictors of mortality. Conclusion Patients aged ≥65 years hospitalised for COVID-19 had high rates of in-hospital complications and mortality, especially among patients 75 years or older. Age ≥75 years, dementia, peripheral oxygen saturation &lt;92%, severe lymphopenia and qSOFA scale &gt;1 were independent predictors of mortality in this population.

Objective To compare the clinical characteristics and outcomes of patients with acute heart failure (AHF) according to clinical profiles based on congestion and perfusion determined in the emergency department (ED). Methods and results Overall, 11 261 unselected AHF patients from 41 Spanish EDs were classified according to perfusion (normoperfusion = warm; hypoperfusion = cold) and congestion (not = dry; yes = wet). Baseline and decompensation characteristics were recorded as were the main wards to which patients were admitted. The primary outcome was 1‐year all‐cause mortality; secondary outcomes were need for hospitalisation during the index AHF event, in‐hospital all‐cause mortality, prolonged hospitalisation, 7‐day post‐discharge ED revisit for AHF and 30‐day post‐discharge rehospitalisation for AHF. A total of 8558 patients (76.0%) were warm + wet, 1929 (17.1%) cold + wet, 675 (6.0%) warm + dry, and 99 (0.9%) cold + dry; hypoperfused (cold) patients were more frequently admitted to intensive care units and geriatrics departments, and warm + wet patients were discharged home without admission. The four phenotypes differed in most of the baseline and decompensation characteristics. The 1‐year mortality was 30.8%, and compared to warm + dry, the adjusted hazard ratios were significantly increased for cold + wet (1.660; 95% confidence interval 1.400–1.968) and cold + dry (1.672; 95% confidence interval 1.189–2.351). Hypoperfused (cold) phenotypes also showed higher rates of index episode hospitalisation and in‐hospital mortality, while congestive (wet) phenotypes had a higher risk of prolonged hospitalisation but decreased risk of rehospitalisation. No differences were observed among phenotypes in ED revisit risk. Conclusions Bedside clinical evaluation of congestion and perfusion of AHF patients upon ED arrival and classification according to phenotypic profiles proposed by the latest European Society of Cardiology guidelines provide useful complementary information and help to rapidly predict patient outcomes shortly after ED patient arrival.