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Vitamin B1 also known as thiamin is an essential vitamin assuring body functioning and comes exclusively from food. Vitamin B1 deficiency is an under-diagnosed disease because it is less frequently suspected in high income countries. However, its risk factors, like alcohol and malnutrition, are common in the general population. Thiamin deficiency can lead to three clinical entities, Gayet-Wernicke encephalopathy, which can progress to Korsakoff encephalopathy, wet Beriberi and its dry form. These diseases are associated with high mortality and heavy long-term sequelae. Rapid diagnosis enables timely treatment.La vitamine B1 ou thiamine est une vitamine essentielle au bon fonctionnement de l’organisme et provient exclusivement de l’alimentation. La carence en vitamine B1 est une maladie sous-diagnostiquée car sous-évoquée dans les pays à haut revenu. Pourtant, les facteurs de risque, tels que l’alcool et la malnutrition, sont répandus dans la population. Les conséquences d’une carence en thiamine se manifestent sous trois formes, l’encéphalopathie de Gayet-Wernicke, pouvant progresser en encéphalopathie de Korsakoff, le béribéri humide ou sa forme sèche. Ces maladies sont grevées d’une haute mortalité et peuvent entraîner à long terme de lourdes séquelles. Un diagnostic rapide permet d’instaurer un traitement substitutif simple et efficace.

BackgroundThe COVID-19 pandemic has led to shortage of Intensive Care Unit (ICU) capacity. We developed a triage strategy including non-invasive respiratory support and admission to the intermediate care unit (IMCU). ICU admission was restricted to patients requiring invasive ventilation.ObjectivesThe aim of this study is to describe the characteristics and outcomes of patients admitted to the intermediate care unit.MethodRetrospective cohort including consecutive patients admitted between March 28th and April 27th 2020. The primary outcome was the proportion of patients with severe hypoxemic respiratory failure avoiding ICU admission. Secondary outcomes included the rate of emergency intubation, 28-days mortality and predictors of ICU admission.ResultsOne hundred fifty seven patients with COVID-19 associated pneumonia were admitted to the IMCU. Among the 85 patients admitted for worsening respiratory failure, 52/85 (61%) avoided ICU admission. In multivariate analysis, PaO2/FiO2 (OR 0.98; 95% CI 0.96 to 0.99) and Body Mass Index (OR 0.88; 95% CI 0.78 to 0.98) were significantly associated with ICU admission. No death or emergency intubation occurred in the intermediate care unit. Among the 72 patients transferred from the ICU, 60/72 (83%) presented neurological complications.ConclusionsNon-invasive respiratory support including High-Flow Nasal Oxygen and continuous positive airway pressure prevents ICU admission for a large proportion of patients with COVID-19 hypoxemic respiratory failure. In the context of the COVID pandemic, intermediate care units may play an important role in preserving ICU capacity by avoiding ICU admission for patients with worsening respiratory failure and allowing early discharge of ICU patients.

Aims Large‐scale clinical trials have demonstrated clinical benefits of sacubitril–valsartan in symptomatic heart failure with reduced ejection fraction patients (PARADIGM‐HF), with potential benefits in patients hospitalized for acute decompensated heart failure (ADHF) (PIONEER‐HF) and fewer benefits in patients with heart failure with preserved ejection fraction (PARAGON‐HF). The aim of this study was to evaluate eligibility for sacubitril–valsartan using criteria described in PIONNER‐HF in non‐selected patients hospitalized for ADHF. Methods and results Between November 2014 and May 2019, 799 patients were recruited in a prospective registry of acute heart failure at the University Hospitals of Geneva (http://ClinicalTrials.gov: NCT02444416). The cohort consists of consecutive patients admitted to the Department of Medicine with ADHF. Eligibility for sacubitril–valsartan was determined using criteria described in PIONEER‐HF, including left ventricular ejection fraction, clinical parameters, and co‐morbidities. Of 799 patients, 123 (15.39%) were eligible for sacubitril–valsartan treatment. Clinical outcomes including all‐cause mortality and readmission were similar in eligible and non‐eligible groups, hazard ratio 1.02 (95% confidence interval 0.81–1.29, P = 083). Conclusions Using current criteria from randomized controlled trials, only 15% of non‐selected patients admitted for ADHF are theoretically eligible for sacubitril–valsartan. Eligibility for sacubitril–valsartan using published criteria is not associated with worse outcome, suggesting that further evaluation of benefits of sacubitril–valsartan in heart failure patients based on parameters other than left ventricular ejection fraction may be of interest.

Objective To compare different definitions of multimorbidity to identify patients with higher health care resource utilization. Patients and Methods We used a multinational retrospective cohort including 147,806 medical inpatients discharged from 11 hospitals in 3 countries (United States, Switzerland, and Israel) between January 1, 2010, and December 31, 2011. We compared the area under the receiver operating characteristic curve (AUC) of 8 definitions of multimorbidity, based on International Classification of Diseases codes defining health conditions, the Deyo-Charlson Comorbidity Index, the Elixhauser-van Walraven Comorbidity Index, body systems, or Clinical Classification Software categories to predict 30-day hospital readmission and/or prolonged length of stay (longer than or equal to the country-specific upper quartile). We used a lower (yielding sensitivity ≥90%) and an upper (yielding specificity ≥60%) cutoff to create risk categories. Results Definitions had poor to fair discriminatory power in the derivation (AUC, 0.61-0.65) and validation cohorts (AUC, 0.64-0.71). The definitions with the highest AUC were number of (1) health conditions with involvement of 2 or more body systems, (2) body systems, (3) Clinical Classification Software categories, and (4) health conditions. At the upper cutoff, sensitivity and specificity were 65% to 79% and 50% to 53%, respectively, in the validation cohort; of the 147,806 patients, 5% to 12% (7474 to 18,008) were classified at low risk, 38% to 55% (54,484 to 81,540) at intermediate risk, and 32% to 50% (47,331 to 72,435) at high risk. Conclusion Of the 8 definitions of multimorbidity, 4 had comparable discriminatory power to identify patients with higher health care resource utilization. Of these 4, the number of health conditions may represent the easiest definition to apply in clinical routine. The cutoff chosen, favoring sensitivity or specificity, should be determined depending on the aim of the definition.

Internal medicine continues de evolve as a result of further insight and evidence for the efficacy of given interventions. Although numerous studies have addressed issues concerning the SARS-COV-2 epidemic, multiple novelties concerning other frequent pathologies have also been presented. Management strategies of cardiovascular disease, infectious diseases and venous thromboembolism are particularly concerned.La médecine interne continue d’évoluer au fur et à mesure de nouvelles évidences d’efficacité par rapport aux diverses interventions. Une pléthore d’études a tenté de résoudre les multiples défis que représente l’épidémie au SARS-CoV-2, mais de multiples nouveautés concernant d’autres pathologies fréquentes sont également apparues. La prise en charge des maladies cardiovasculaires, de maladies infectieuses et la maladie thromboembolique sont particulièrement concernées.

Physical examination (PE) has always been a corner stone of medical practice. The recent advances in imaging and fading of doctors’ ability in performing it, however, raised doubts on PE usefulness. Point-of-care ultrasonography (POCUS) is gaining ground in medicine with the detection of free fluids being one of its main applications. To estimate physicians’ confidence and use of PE and POCUS for the detection of abdominal or pleural free fluid, we conducted a cross-sectional survey. In all, 246 internal and emergency medicine physicians answered to the survey (197 in-hospital physicians and 49 general practitioners; response rate 28.5%). Almost all declared to perform PE in case of suspected ascites or pleural effusion (88% and 90%, respectively). The highest rates of confidence were observed in conventional PE signs (91% for diminished breath sounds, 80% for dullness to thorax percussion, and 66% for abdominal flank dullness). For the remaining signs, rates of confidence were less than 53%. Physicians with > 15 years of experience and POCUS-naïve doctors reported higher confidence in PE. Most of emergency and almost half of internal medicine physicians (78% and 44%, respectively) attended a structured POCUS course. POCUS use was higher among trained physicians for both ascites (84% vs 50%,p p

Internal medicine continues de evolve as a result of further insight and evidence for the efficacy of given interventions. Although numerous studies have addressed issues concerning the SARS-COV-2 epidemic, multiple novelties concerning other frequent pathologies have also been presented. Management strategies of cardiovascular disease, infectious diseases and venous thromboembolism are particularly concerned. La médecine interne continue d’évoluer au fur et à mesure de nouvelles évidences d’efficacité par rapport aux diverses interventions. Une pléthore d’études a tenté de résoudre les multiples défis que représente l’épidémie au SARS-CoV-2, mais de multiples nouveautés concernant d’autres pathologies fréquentes sont également apparues. La prise en charge des maladies cardiovasculaires, de maladies infectieuses et la maladie thromboembolique sont particulièrement concernées.

Sphingolipids play a key structural role in cellular membranes and/or act as signaling molecules. Inherited defects of their catabolism lead to lysosomal storage diseases called sphingolipidoses. Although progress has been made toward a better understanding of their pathophysiology, several issues still remain unsolved. In particular, whether lysosphingolipids, the deacylated form of sphingolipids, both of which accumulate in these diseases, are simple biomarkers or play an instrumental role is unclear. In the meanwhile, evidence has been provided for a high risk of developing malignancies in patients affected with Gaucher disease, the most common sphingolipidosis. This article aims at analyzing the potential involvement of lysosphingolipids in cancer. Knowledge about lysosphingolipids in the context of lysosomal storage diseases is summarized. Available data on the nature and prevalence of cancers in patients affected with sphingolipidoses are also reviewed. Then, studies investigating the biological effects of lysosphingolipids toward pro or antitumor pathways are discussed. Finally, original findings exploring the role of glucosylsphingosine in the development of melanoma are presented. While this lysosphingolipid may behave like a protumorigenic agent, further investigations in appropriate models are needed to elucidate the role of these peculiar lipids, not only in sphingolipidoses but also in malignant diseases in general.

Background: A hospitalization for community-acquired pneumonia results in a decrease in long-term survival in elderly patients. We assessed biomarkers at admission to predict one-year mortality in a cohort of elderly patients with pneumonia.Methods: A prospective observational study included patients >65 years hospitalized with pneumonia. Assessment of PSI, CURB-65, and biomarkers (C-reactive protein (CRP), procalcitonin (PCT), NT-pro-B-type natriuretic peptide (NT-proBNP), interleukin (IL)-6 and -8, tumor necrosis factor alpha (TNF-α), serum amyloid A (SAA), neopterin (NP), myeloperoxidase (MPO), anti-apolipoprotein A-1 IgG (anti-apoA-1), and anti-phosphorylcholine IgM (anti-PC IgM)) was used to calculate prognostic values for one-year mortality using ROC curve analyses. Post hoc optimal cutoffs with corresponding sensitivity (SE) and specificity (SP) were determined using the Youden index.Results: A total of 133 patients were included (median age 83 years [IQR: 78-89]). Age, dementia, BMI, NT-proBNP (AUROC 0.65 (95% CI: 0.55-0.77)), and IL-8 (AUROC 0.66 (95% CI: 0.56-0.75)) were significantly associated with mortality, with NT-proBNP (HR 1.01 (95% CI 1.00-1.02) and BMI (HR 0.92 (95% CI 0.85-1.000) being independent of age, gender, comorbidities, and PSI with Cox regression. At the cutoff value of 2200 ng/L, NT-proBNP had 67% sensitivity and 70% specificity. PSI and CURB-65 were not associated with mortality.Conclusions: NT-proBNP levels upon admission and BMI displayed the highest prognostic accuracy for one-year mortality and may help clinicians to identify patients with poor long-term prognosis.

PurposeThe Actionable Register of Geneva Outpatients and inpatients with SARS-CoV-2 (ARGOS) is an ongoing prospective cohort created by the Geneva Directorate of Health. It consists of an operational database compiling all SARS-CoV-2 test results recorded in the Geneva area since late February 2020. This article aims at presenting this comprehensive cohort, in light of some of the varying public health measures in Geneva, Switzerland, since March 2020.ParticipantsAs of 1 June 2021, the database included 360 525 patients, among which 65 475 had at least one positive test result for SARS-CoV-2. Among all positive patients, 37.6% were contacted only once, 10.6% had one follow-up call, 8.5% had two and 27.7% had three or more follow-up calls. Participation rate among positive patients is 94%. Data collection is ongoing.Findings to dateARGOS data illustrates the magnitude of COVID-19 pandemic in Geneva, Switzerland, and details a variety of population factors and outcomes. The content of the cohort includes demographic data, comorbidities and risk factors for poor clinical outcome, self-reported COVID-19 symptoms, environmental and socioeconomic factors, prospective and retrospective contact tracing data, travel quarantine data and deaths. The registry has already been used in several publications focusing on symptoms and long COVID-19, infection fatality rate and re-infection.Future plansThe data of this large real-world registry provides a valuable resource for various types of research, such as clinical research, epidemiological research or policy assessment as it illustrates the impact of public health policies and overall disease burden of COVID-19.

Heart failure is a common disease and one of the main reasons of hospital admission. It is a rich research field, marked by regular novelties in the management of heart failure. In the last decades point-of-care ultrasonography has been more prominent in internal medicine, particularly for the management of heart failure. A structured training is required to acquire core competencies. In heart failure, this bedside tool includes focused lung, cardiac and vascular ultrasonography. The combination of these modalities raises diagnostic accuracy, reduce time to diagnosis in dyspneic patients and plays a role in adaptation of decongestive therapy.L’insuffisance cardiaque est une pathologie fréquente et l’un des principaux motifs d’admission à l’hôpital. La recherche clinique, riche dans ce domaine, marque régulièrement le paysage médical de nouveautés dans sa prise en charge. L’échographie ciblée s’est développée de manière importante ces dernières années en médecine interne, en particulier pour la prise en charge de l’insuffisance cardiaque. L’apprentissage de celle-ci nécessite une formation structurée pour l’acquisition des compétences de base, permettant l’exploration ciblée du cœur, des vaisseaux et de l’appareil pleuropulmonaire au lit du patient. La combinaison de ces modalités améliore la précision diagnostique, diminue le délai diagnostique lors de dyspnée, et joue un rôle dans l’adaptation du traitement décongestif.

Lung ultrasonography (LUS) is an accurate method of estimating lung congestion but there is ongoing debate on the optimal number of scanning points. The aim of the present study was to compare the reproducibility (i.e. interobserver agreement) and the feasibility (i.e. time consumption) of the two most practiced protocols in patients hospitalized for acute heart failure (AHF). This prospective trial compared 8- and 28-point LUS protocols. Both were performed by an expert–novice pair of sonographers at admission and after 4 to 6 days on patients admitted for AHF. A structured bio-clinical evaluation was simultaneously carried out by the treating physician. The primary outcome was expert-novice interobserver agreement estimated by kappa statistics. Secondary outcomes included time spent on image acquisition and interpretation. During the study period, 43 patients underwent a total of 319 LUS exams. Expert–novice interobserver agreement was moderate at admission and substantial at follow-up for 8-point protocol (weighted kappa of 0.54 and 0.62, respectively) with no significant difference for 28-point protocol (weighted kappa of 0.51 and 0.41; P value for comparison 0.74 at admission and 0.13 at follow-up). The 8-point protocol required significantly less time for image acquisition at admission (mean time difference − 3.6 min for experts, − 5.1 min for novices) and interpretation (− 6.0 min for experts and − 6.3 min for novices; P value

Background Adverse drug events (ADEs) can be prevented by deploying clinical decision support systems (CDSS) that directly assist physicians, via computerized order entry systems, and clinical pharmacists performing medication reviews as part of medical rounds. However, physicians using CDSS are known to be exposed to the alert-fatigue phenomenon. Our study aimed to assess the performance of PharmaCheck—a CDSS to help clinical pharmacists detect high-risk situations with the potential to lead to ADEs—and its impact on clinical pharmacists’ activities. Methods Twenty clinical rules, divided into four risk classes, were set for the daily screening of high-risk situations in the electronic health records of patients admitted to our General Internal Medicine Department. Alerts to clinical pharmacists encouraged them to telephone prescribers and suggest any necessary treatment adjustments. PharmaCheck’s performance was assessed using the intervention’s positive predictive value (PPV), which characterizes the proportion of interventions for each alert triggered. PharmaCheck’s impact was assessed by considering clinical pharmacists as a filter for ruling out futile alerts and by comparing the final clinical PPV with a pharmacist (the proportion of interventions that led to a change in the medical regimen) to the final clinical PPV without a pharmacist. Results Over 132 days, 447 alerts were triggered for 383 patients, leading to 90 interventions (overall intervention PPV = 20.1%). By risk class, intervention PPVs made up 26.9% (n = 65/242) of abnormal laboratory value alerts, 3.1% (4/127) of alerts for contraindicated medications or medications to be used with caution, 28.2% (20/71) of drug–drug interaction alerts, and 14.3% (1/7) of inadequate mode of administration alerts. Clinical PPVs reached 71.0% (64/90) when pharmacists filtered alerts and 14% (64/242) if they were not doing it. Conclusion PharmaCheck enabled clinical pharmacists to improve their traditional processes and broaden their coverage by focusing on 20 high-risk situations. Alert management by pharmacists seemed to be a more effective way of preventing risky situations and alert-fatigue than a model addressing alerts to physicians exclusively. Some fine-tuning could enhance PharmaCheck's performance by considering the information quality of triggers, the variability of clinical settings, and the fact that some prescription processes are already highly secured.

Background Pneumonia has an impact on long-term mortality in elderly patients. The risk factors associated with poor long-term outcomes are understated. The purpose of this study was to identify the predictors of 1-year mortality in older patients having a suspicion of pneumonia, using usual pneumonia severity scores and geriatric evaluation’s scores focused on comorbidities, nutritional status and functionality. Methods Consecutive patients over 65 years old and hospitalized with a suspicion of pneumonia were enrolled in a monocentric cohort from May 2015 to April 2016. Three scores were used to assess patients’ comorbidities (Cumulative Illness Rating Scale-Geriatric, CIRS-G), malnutrition (Mini Nutritional Assessment, MNA), functionality (Functional Independence Measure, FIM) respectively. Severity of pneumonia was assessed by using the Confusion, Urea, Respiratory Rate, Blood Pressure, and 65-years old score (CURB65), the Pneumonia Severity Index (PSI) and Sequential Organ Failure Assessment score (SOFA). With the exception of CIRS-G, all the scores were obtained prospectively within 48 hours after admission. The main outcome was 1-year mortality. Dates of death were obtained by consulting the cantonal register of deaths. Each score was analysed in univariate and multivariate models and logistic regressions were used to identify contributors to 1-year mortality. Results 200 patients were included (51 % male, mean age 83.8 +/- 7.7). The 1-year mortality rate was 30%. Scores associated with 1-year mortality were CURB-65 (p

Background: In US healthcare system, handoffs are associated with an increase in medical error and in hospital length of stay. In non-US healthcare systems, this phenomenon has not been well studied. We studied the association between early handoffs (EH) in a non-US internal medicine ward with length of stay (LOS), use of resources, major complication (MC) and discharge to post-acute care (PAC) facility.Methods: We conducted a retrospective cohort study on patients admitted to the general internal medicine division. Patients with EH (defined as a transfer of responsibility between primary teams within the first 72 h) were compared with patients without EH. The primary outcome was LOS in the general internal medicine division. Secondary outcomes were the use of resources, the incidence of MC (transfer to intensive care, to intermediate care or death) and discharge to a PAC facility.Results: We included 11,869 patients, 38% of whom were in the EH group. Patients were 67.7±16.6 years old and 53% were males. EH was independently associated with an increase of LOS (+6.4% [95% CI, 3.5%-9.5%], P < .001) and with an increased rate of MC (OR 1.3 [95% CI, 1.1-1.7], P = .012). In our subgroup analysis, the association between early handoff and LOS and MC rate were not statistically significant when the admission occurred on public holidays and weekends.Conclusions: Among patients admitted in our general internal medicine division, early handoffs were associated with significantly higher length of stay and major complication rate, but not in patients admitted during week-ends.

Background Research shows that when patients and health care providers share responsibility for clinical decisions, both patient satisfaction and quality of care increase, and resource use decreases. Yet few studies have assessed how to train residents to use shared decision-making (SDM) in their practice. Objective We developed and evaluated a SDM training program in internal medicine. Methods Senior internal medicine residents from 3 hospitals in Switzerland were assessed shortly before and 2 months after completing a program that included a 2-hour workshop and pocket card use in clinical practice. Encounters with standardized patients (SPs) were recorded and SDM performance was assessed using a SDM completeness rating scale (scores ranging from 0 to 100), a self-reported questionnaire, and SPs rating the residents. Results Of 39 eligible residents, 27 (69%) participated. The mean (SD) score improved from 65 (SD 13) to 71 (SD 12; effect size [ES] 0.53; P = .011). After training, participants were more comfortable with their SDM-related knowledge (ES 1.42, P < .001) and skills (ES 0.91, P < .001), and with practicing SDM (ES 0.96, P < .001). Physicians applied SDM concepts more often in practice (ES 0.71, P = .001), and SPs felt more comfortable with how participants discussed their care (ES 0.44, P = .031). Conclusions The SDM training program improved the competencies of internal medicine residents and promoted the use of SDM in clinical practice. The approach may be of interest for teaching SDM to residents in other disciplines and to medical students.

Purpose of review Pneumonia is a frequent disease mainly affecting older and multimorbid patients. Symptoms and signs lack sensitivity and specificity, and chest X-ray has poor accuracy. Hence, an initial diagnosis of pneumonia has limited predictive value for the presence of pneumonia. Overdiagnosis of pneumonia leads to inappropriate antibiotic use and may delay the appropriate management of mimicking diseases. Alternative imaging strategies including computed tomography (CT)-scan or lung ultrasonography may improve the diagnosis of pneumonia. We review the recent evidence and perspectives regarding their contribution to the diagnosis and management of patients with suspected pneumonia. Recent findings Two studies assessed the diagnostic accuracy of CT-scan in emergency department or hospitalized patients suspected of pneumonia. CT-scan led to a net reclassification improvement of 8 and 18% of patients, and was particularly helpful to rule out the diagnosis, allowing a lowering of the number of inappropriate antibiotic prescriptions. Summary CT-scan reduces overdiagnosis of pneumonia and allows a better identification of alternative diagnoses. The impact on clinical outcomes of a strategy incorporating CT-scan for patients suspected of pneumonia should be evaluated, along with its cost-effectiveness.

Whether in-hospital management of patients with newly identified vertebral fractures leads to a higher rate of osteoporosis medication than delayed outpatient management remains unknown. Our study showed that early osteoporosis therapy initiation in a fracture liaison service during hospital stay was a more efficacious strategy for secondary fracture prevention. Fracture liaison services are standard care for secondary fracture prevention. A higher rate of osteoporosis treatment initiation may be considered when introduced in the hospital rather than an outpatient recommendation to a primary care physician (PCP). Whether this applies to patients with newly detected vertebral fractures in a general internal medicine ward remains unknown. We prospectively investigated whether in-hospital management of newly identified vertebral fractures led to a higher rate of osteoporosis medication initiation and persistence at 3 and 6 months than delayed outpatient management by a PCP. We conducted a prospective study including hospitalized patients > 60 years systematically searched for asymptomatic vertebral fractures on lateral chest and/or abdominal radiographs. Patients were included either in phase 1 (outpatient care recommendations on osteoporosis management to a PCP) or in phase 2 (inpatient care management initiated during hospitalization). The percentage of patients under osteoporosis treatment was evaluated by telephone interview at 3 and 6 months. Outpatients’ (84 with fracture/407 assessed (21%); 75.7 ± 7.7 years) and inpatients’ (100/524 (19%); 77.8 ± 9.4 years) characteristics were similar. Osteoporosis medication was more often prescribed in inpatients at 3 (67% vs. 19%, respectively; p

Objectives We aimed to assess the accuracy of PCR detection of viruses and bacteria on nasopharyngeal and oropharyngeal swabs (NPS) for the diagnosis of pneumonia in elderly individuals. Methods We included consecutive hospitalized elderly individuals suspected of having pneumonia. At inclusion, NPS were collected from all participants and tested by PCR for the presence of viral and bacterial respiratory pathogens (index test, defined as comprehensive molecular testing). Routine diagnostic tests (blood and sputum culture, urine antigen detection) were also performed. The reference standard was the presence of pneumonia on a low-dose CT scan as assessed by two independent expert radiologists. Results The diagnosis of pneumonia was confirmed in 127 of 199 (64%) included patients (mean age 83 years, community-acquired pneumonia in 105 (83%)). A pathogen was identified by comprehensive molecular testing in 114 patients (57%) and by routine methods in 22 (11%). Comprehensive molecular testing was positive for viruses in 62 patients (31%) and for bacteria in 73 (37%). The sensitivity and specificity were 61% (95% CI 53%–69%) and 50% (95% CI 39%–61%) for comprehensive molecular testing, and 14% (95% CI 82%–21%) and 94% (95% CI 86%–98%) for routine testing, respectively. Positive likelihood ratio was 2.55 for routine methods and 1.23 for comprehensive molecular testing. Conclusion Comprehensive molecular testing of NPS increases the number of pathogens detected compared with routine methods, but results are poorly predictive of the presence of pneumonia. Hence, comprehensive molecular testing is unlikely to impact clinical decision-making (NCT02467192). Clinical Trials Registration NCT02467192.

BackgroundThe SARS-CoV-2 pandemic led to a steep increase in hospital and intensive care unit (ICU) admissions for acute respiratory failure worldwide. Early identification of patients at risk of clinical deterioration is crucial in terms of appropriate care delivery and resource allocation. We aimed to evaluate and compare the prognostic performance of Sequential Organ Failure Assessment (SOFA), Quick Sequential Organ Failure Assessment (qSOFA), Confusion, Uraemia, Respiratory Rate, Blood Pressure and Age ≥65 (CURB-65), Respiratory Rate and Oxygenation (ROX) index and Coronavirus Clinical Characterisation Consortium (4C) score to predict death and ICU admission among patients admitted to the hospital for acute COVID-19 infection.Methods and analysisConsecutive adult patients admitted to the Geneva University Hospitals during two successive COVID-19 flares in spring and autumn 2020 were included. Discriminative performance of these prediction rules, obtained during the first 24 hours of hospital admission, were computed to predict death or ICU admission. We further exluded patients with therapeutic limitations and reported areas under the curve (AUCs) for 30-day mortality and ICU admission in sensitivity analyses.ResultsA total of 2122 patients were included. 216 patients (10.2%) required ICU admission and 303 (14.3%) died within 30 days post admission. 4C score had the best discriminatory performance to predict 30-day mortality (AUC 0.82, 95% CI 0.80 to 0.85), compared with SOFA (AUC 0.75, 95% CI 0.72 to 0.78), qSOFA (AUC 0.59, 95% CI 0.56 to 0.62), CURB-65 (AUC 0.75, 95% CI 0.72 to 0.78) and ROX index (AUC 0.68, 95% CI 0.65 to 0.72). ROX index had the greatest discriminatory performance (AUC 0.79, 95% CI 0.76 to 0.83) to predict ICU admission compared with 4C score (AUC 0.62, 95% CI 0.59 to 0.66), CURB-65 (AUC 0.60, 95% CI 0.56 to 0.64), SOFA (AUC 0.74, 95% CI 0.71 to 0.77) and qSOFA (AUC 0.59, 95% CI 0.55 to 0.62).ConclusionScores including age and/or comorbidities (4C and CURB-65) have the best discriminatory performance to predict mortality among inpatients with COVID-19, while scores including quantitative assessment of hypoxaemia (SOFA and ROX index) perform best to predict ICU admission. Exclusion of patients with therapeutic limitations improved the discriminatory performance of prognostic scores relying on age and/or comorbidities to predict ICU admission.

PurposeThe Actionable Register of Geneva Out- and inpatients with SARS-CoV-2 (ARGOS) is an ongoing prospective cohort created by the Geneva Directorate of Health (GDH). It consists of an operational database compiling all SARS-CoV-2 test results conducted in the Geneva area since late February 2020. This article aims at presenting this comprehensive cohort, in light of some of the varying public health measures in Geneva, Switzerland, since March 2020.ParticipantsAs of June 1st, 2021, the database included 356’868 patients, among which 65’475 had at least one positive test result for SARS-CoV-2. Among all positive patients, 37.6% were contacted only once, 10.6 % had one follow-up call, 8.5% had two, and 27.7% had 3 or more follow-up calls. Participation rate among positive patients is 94%. Data collection is ongoing.Findings to dateARGOS data illustrates the magnitude of COVID-19 pandemic in Geneva, Switzerland, and details a variety of population factors and outcomes. The content of the cohort includes demographic data, comorbidities and risk factors for poor clinical outcome, self-reported COVID-19 symptoms, environmental and socio-economic factors, prospective and retrospective contact tracing data, travel quarantine data, and deaths. The registry has already been used in several publications focusing on symptoms and long COVID, infection fatality rate, and re-infection.Future plansThe data of this large real-world registry provides a valuable resource for various types of research, such as clinical research, epidemiological research or policy assessment as it illustrates the impact of public health policies and overall disease burden of COVID-19.STRENGTHS AND LIMITATIONS OF THIS STUDYARGOS’ main strength consists of its large number of cases, representative of all diagnosed cases on a regional level with the primary aim of assessing all cases.ARGOS involves every individual who performed a SARS-CoV-2 test (PCR or antigenic) and is not limited to hospitalized patients, thus providing a valuable resource to assess the overall disease burden of COVID-19 in a geographically defined population.To mitigate confounding effects and improve data analysis and interpretation, we present the data according to four policy periods.This cohort is multicentric as it includes all tests performed in Geneva’s hospitals (both public and private), private practices and medical centers.Due to operational needs, symptoms and comorbidities are self-reported, which may lead to measurement error or misclassification.

Background and importance In the internal medicine department of our hospital, medication review provided by pharmacists during medical rounds is offered to only a fraction of the 200 inpatients, due to limited resources. In order to detect high risk situations potentially leading to adverse drug events, we developed PharmaCheck, an electronic tool that screens all patient electronic health records (EHR) in real time, by aggregating drug prescriptions, laboratory values, vital signs and medical problems. Aim and objectives To determine the impact of PharmaCheck in the identification of high risk situations and on the clinical pharmacist’s interventions. Material and methods PharmaCheck was set to screen 20 situations distributed into four risk classes: a drug prescription with an abnormal laboratory value, a contraindication, a drug–drug interaction (DDI) and an inadequate administration mode. For 150 days (February to August 2020), PharmaCheck performed a daily screen of patients’ EHR, admitted to the internal medicine department. As soon as an alert was triggered, the clinical pharmacist analysed the patient’s clinical context to suggest a treatment adjustment when needed. An observational prospective study was performed to assess the distribution of each risk class, the predictive positive value of each alert (PPV: proportion of situations associated with an intervention) as well as the acceptance rate by the prescribers. Results 430 alerts were triggered for 387 patients (3.3±1.9 alerts/day) with a global PPVof 19.3% (n=83/430). Regarding risk classes, PPVs were 25.6% (n=58/226) for abnormal laboratory value, 3.10% (4/127) for contraindications, 28.2% (20/71) for DDIs and 16.7% (1/6) for inadequate administration mode. The approval rate of treatment adjustment suggestions was 71.1% (n=59/83); rejections were related to an acceptable risk–benefit balance (n=20) or an unknown cause (n=4). Conclusion and relevance PharmaCheck identified a significant number of high risk situations. By contextualising these alerts the clinical pharmacist selected the most relevant ones to suggest treatment adjustment, mostly accepted by physicians. Beyond the clinical context, the relevance of alerts depends on the informative quality of the triggering elements, explaining a low PPV for some risk classes (eg, contraindication, depending on unstructured textual medical problems). PharmaCheck expands the coverage of the clinical pharmacist for selected situations and we plan to transpose this strategy to other, more fragile, patient populations (eg, geriatrics, paediatrics, oncology). References and/or acknowledgements Conflict of interest No conflict of interest

Purpose: To assess the diagnostic performances of five automated anti-SARS-CoV-2 immunoassays, Epitope (N), Diasorin (S1/S2), Euroimmun (S1), Roche N (N), and Roche S (S-RBD), and to provide a testing strategy based on pre-test probability. Methods: We assessed the receiver operating characteristic (ROC) areas under the curve (AUC) values, along with the sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs), of each assay using a validation sample set of 172 COVID-19 sera and 185 negative controls against a validated S1-immunofluorescence as a reference method. The three assays displaying the highest AUCs were selected for further serodetection of 2033 sera of a large population-based cohort. Results: In the validation analysis (pre-test probability: 48.1%), Roche N, Roche S and Euroimmun showed the highest discriminant accuracy (AUCs: 0.99, 0.98, and 0.98) with PPVs and NPVs above 96% and 94%, respectively. In the population-based cohort (pre-test probability: 6.2%) these three assays displayed AUCs above 0.97 and PPVs and NPVs above 90.5% and 99.4%, respectively. A sequential strategy using an anti-S assay as screening test and an anti-N as confirmatory assays resulted in a 96.7% PPV and 99.5% NPV, respectively. Conclusions: Euroimmun and both Roche assays performed equally well in high pre-test probability settings. At a lower prevalence, sequentially combining anti-S and anti-N assays resulted in the optimal trade-off between diagnostic performances and operational considerations.