Long COVID-19 may be defined as patients who, four weeks after the diagnosis of SARS-Cov-2 infection, continue to have signs and symptoms not explainable by other causes. The estimated frequency is around 10% and signs and symptoms may last for months. The main long-term manifestations observed in other coronaviruses (Severe Acute Respiratory Syndrome (SARS), Middle East respiratory syndrome (MERS)) are very similar to and have clear clinical parallels with SARS-CoV-2: mainly respiratory, musculoskeletal, and neuropsychiatric. The growing number of patients worldwide will have an impact on health systems. Therefore, the main objective of these clinical practice guidelines is to identify patients with signs and symptoms of long COVID-19 in primary care through a protocolized diagnostic process that studies possible etiologies and establishes an accurate differential diagnosis. The guidelines have been developed pragmatically by compiling the few studies published so far on long COVID-19, editorials and expert opinions, press releases, and the authors’ clinical experience. Patients with long COVID-19 should be managed using structured primary care visits based on the time from diagnosis of SARS-CoV-2 infection. Based on the current limited evidence, disease management of long COVID-19 signs and symptoms will require a holistic, longitudinal follow up in primary care, multidisciplinary rehabilitation services, and the empowerment of affected patient groups.

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AimsIn ambulatory patients with chronic heart failure (HF), congestion and decongestion assessment may be challenging. The aim of this study is to assess the value of lung ultrasound (LUS) in outpatients with HF in characterizing decompensation and recompensation, and in outcomes prediction. Methods and resultsHeart failure outpatients attended to establish HF decompensation were included. LUS was blindly performed at baseline (LUS1) and at clinical recompensation (LUS2). B-lines were counted in eight scanned areas. Diagnosis of no HF decompensation vs. right-sided, left-sided, or global HF decompensation, and patients' management were performed by physicians blinded to LUS1. Outcome was the composite of all-cause death or HF-related hospitalization. Two hundred and thirty-three suspicions of HF decompensation were included in 187 patients (71.4 ± 11.3 years, 66.8% men). Mean B-line (LUS1) was 17.6 ± 11.2 vs. 3.7 ± 4.5 for episodes with and without HF decompensation, respectively (P < 0.001). Global HF decompensation showed the highest number of B-lines (20.6 ± 11), followed by left-sided (19.7 ± 11.6) and right-sided (13.5 ± 9.8). B-lines declined to 6.9 ± 6.7 (LUS2) (P < 0.001 vs. LUS1) after treatment, within a mean time of 24.2 ± 23.7 days [median 13.5 days (interquartile range 6-40)]. B-lines were significantly associated with the composite endpoint at 30 days (hazard ratio [HR] 1.04 [95% confidence interval 1.01-1.07], P = 0.02), but not at 60 (P = 0.22) or 180 days (P = 0.54). In multivariable analysis, B-line number remained as an independent predictor of the composite endpoint at 30 days, [HR 1.04 (1.01-1.07), P = 0.014], with a 4% increase risk per B-line added. B-lines correlated significantly with CA125 (R = 0.30, P = 0.001). Conclusions Lung ultrasound supports the diagnostic work-up of congestion and decongestion in chronic HF outpatients and identifies patients at high risk of short-term events.

Acute hyperglycemia has been associated with worse prognosis in patients hospitalized for heart failure (HF). Nevertheless, studies evaluating the impact of glycemic control on long-term prognosis have shown conflicting results. Our aim was to assess the relationship between acute-to-chronic (A/C) glycemic ratio and 4-year mortality in a cohort of subjects hospitalized for acute HF. A total of 1062 subjects were consecutively included. We measured glycaemia at admission and estimated average chronic glucose levels and the A/C glycemic ratio were calculated. Subjects were stratified into groups according to the A/C glycemic ratio tertiles. The primary endpoint was 4-year mortality. Subjects with diabetes had higher risk for mortality compared to those without (HR 1.35 [95% CI: 1.10–1.65]; p = 0.004). A U-shape curve association was found between glucose at admission and mortality, with a HR of 1.60 [95% CI: 1.22–2.11]; p = 0.001, and a HR of 1.29 [95% CI: 0.97–1.70]; p = 0.078 for the first and the third tertile, respectively, in subjects with diabetes. Additionally, the A/C glycemic ratio was negatively associated with mortality (HR 0.76 [95% CI: 0.58–0.99]; p = 0.046 and HR 0.68 [95% CI: 0.52–0.89]; p = 0.005 for the second and third tertile, respectively). In multivariable analysis, the A/C glycemic ratio remained an independent predictor. In conclusion, in subjects hospitalized for acute HF, the A/C glycemic ratio is significantly associated with mortality, improving the ability to predict mortality compared with glucose levels at admission or average chronic glucose concentrations, especially in subjects with diabetes.