Explosive nosocomial outbreak of SARS-CoV-2 in a rehabilitation clinic: the limits of genomics for outbreak reconstruction.

BACKGROUND: Nosocomial outbreaks of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are frequent despite implementation of conventional infection control measures. An outbreak investigation was undertaken using advanced genomic and statistical techniques to reconstruct likely transmission chains and assess the role of healthcare workers (HCWs) in SARS-CoV-2 transmission. METHODS: A nosocomial SARS-CoV-2 outbreak in a university-affiliated rehabilitation clinic was investigated, involving patients and HCWs, with high coverage of pathogen whole-genome sequences (WGS). The time-varying reproduction number from epidemiological data (Rt) was estimated, and maximum likelihood phylogeny was used to assess genetic diversity of the pathogen. Genomic and epidemiological data were combined into a Bayesian framework to model the directionality of transmission, and a case-control study was performed to investigate risk factors for nosocomial SARS-CoV-2 acquisition in patients. FINDINGS: The outbreak lasted from 14th March to 12th April 2020, and involved 37 patients (31 with WGS) and 39 employees (31 with WGS), 37 of whom were HCWs. Peak Rt was estimated to be between 2.2 and 3.6. The phylogenetic tree showed very limited genetic diversity, with 60 of 62 (96.7%) isolates forming one large cluster of identical genomes. Despite the resulting uncertainty in reconstructed transmission events, the analyses suggest that HCWs (one of whom was the index case) played an essential role in cross-transmission, with a significantly greater fraction of infections (P<2.2e-16) attributable to HCWs (70.7%) than expected given the number of HCW cases (46.7%). The excess of transmission from HCWs was higher when considering infection of patients [79.0%; 95% confidence interval (CI) 78.5-79.5%] and frail patients (Clinical Frailty Scale score >5; 82.3%; 95% CI 81.8-83.4%). Furthermore, frail patients were found to be at greater risk for nosocomial COVID-19 than other patients (adjusted odds ratio 6.94, 95% CI 2.13-22.57). INTERPRETATION: This outbreak report highlights the essential role of HCWs in SARS-CoV-2 transmission dynamics in healthcare settings. Limited genetic diversity in pathogen genomes hampered the reconstruction of individual transmission events, resulting in substantial uncertainty in who infected whom. However, this study shows that despite such uncertainty, significant transmission patterns can be observed.

Relation of Disease with Standardized Phase Angle among Older Patients.

BACKGROUND: A low phase angle (PA) has been associated with negative outcome in specific diseases. However, many patients suffer from several co-morbidities. This study aims at identifying the impact of the type and the severity of diseases on PA in a retrospective cohort study of older people. METHODS: We included all people ≥65 years who underwent a PA measurement (Nutriguard®) between 1990 and 2011 at the Geneva University Hospitals. PA was standardized for gender, age and body mass index according to German reference values. Co-morbidities were reported in form of the Cumulative Illness Rating Scale which considers 14 different organs/systems (disease categories), each rated from 0 (healthy) to 4 (severe illness) (severity grades). The association between the diseases categories and standardized PA was evaluated by a multivariate linear regression. For each significant disease category, we performed univariate regression models. The adjusted R2 was used to identify the best predictors of standardized PA. We considered that the severity grade affected standardized PA if there was a progressive decrease in the regression coefficients. RESULTS: We included 1181 people (37% women). The multivariate regression model showed that the disease categories explain 17% of the variance of standardized PA. Many disease categories affect standardized PA and the ones best associated with standardized PA were the hematopoietic and vascular (R2 7.4%), the musculo-skeletal (R2 5.5%) and the respiratory (R2 4.0%) diseases. The regression coefficients in the univariate linear regression model decreased progressively with higher severity grades in respiratory (-0.15, -0.27, -0.55, -0.67) and musculo-skeletal diseases (-0.09, -0.46, -0.85, -0.86). CONCLUSIONS: Many different diseases affect standardized PA. The higher the severity grade in musculo-skeletal and respiratory diseases, the lower is the standardized PA.

Malnutrition in Very Old Hospitalized Patients: A New Etiologic Factor of Anemia?

BACKGROUND: Anemia and malnutrition are highly prevalent, frequently concomitant and associated with negative outcomes and mortality in the elderly. OBJECTIVES: To evaluate the association between these two entities, and test the hypothesis that protein-energy deficit could be etiology of anemia. DESIGN: Prospective case-control study. SETTING: Geriatric and Rehabilitation Hospital, Geneva University Hospitals, Switzerland. PARTICIPANTS: 392 patients (mean age 84.8 years old, 68.6% female). MAIN OUTCOME MEASURES: Hematological (hemoglobin (Hb)), chemical (iron work up, cyanocobalamin, folates, renal function, C-Reactive Protein (CRP)) and nutrition (albumin, prealbumin) parameters, and mini nutritional assessment short form (MNA-SF). RESULTS: The prevalence of anemia (defined as Hb<120 g/l) was 39.3%. Anemic patients were more frequently malnourished or at risk of malnutrition according to the MNA-SF (p=0.047), with lower serum albumin (p <0.001) and prealbumin (p <0.001) levels. Thirty-eight percent of these patients had multiple causes and 14.3% had no cause found for anemia. Among the latter 90.9% of patients with unexplained anemia had albumin levels lower than 35g/l. After exclusion of iron,vitamin B12 and folic acid deficits, anemic patients had lower albumin (p<0.001) and prealbumin (p 0.007) levels. Albumin level explained 84.5% of the variance in anemia. In multivariate analysis albumin levels remain associated with Hb only in anemic patients, explaining 6.4% of Hb variance (adj R2) and 14.7% (adj R2) after excluding inflammatory parameters (CRP>10). CONCLUSIONS: Albumin levels are strongly associated with anemia in the elderly. Screening for undernutrition should be included in anemia assessment in those patients. Further prospective studies are warranted in order to explore the effect of protein and energy supplementation on hemoglobin level.

[Comprehensive geriatric assessment in the emergency department: some usefull screening tools]. / Evaluation gériatrique aux urgences: boîte à outils pour les nuls.

Emergency department (ED) admissions of patients 75 years and older are consistently increasing. Older patients suffer from atypical symptomatology, spend more time, and are more at risk of adverse outcomes (early readmission, functional decline, institutionalization and death) than younger people. The identification of geriatric syndromes like cognitive decline can improve the management of such patients and decrease the rate of the outcomes. In ED, screening tools developed to detect these geriatric problems have to be quick, easy to use and to present a high sensibility. This article aims at reviewing the literature about the ED-validated screening tools that could be applied in practice.

Telomere length, comorbidity, functional, nutritional and cognitive status as predictors of 5 years post hospital discharge survival in the oldest old.

BACKGROUND: Telomere length has been considered in many cross-sectional studies as a biomarker of aging. However the association between shorter telomeres with lower survival at advanced ages remains a controversial issue. This association could reflect the impact of other health conditions than a direct biological effect. OBJECTIVE: To test whether leukocyte telomere length is associated with 5-year survival beyond the impact of other risk factors of mortality like comorbidity, functional, nutritional and cognitive status. DESIGN: Prospective study. SETTING AND PARTICIPANTS: A population representative sample of 444 patients (mean age 85 years; 74% female) discharged from the acute geriatric hospital of Geneva University Hospitals (January-December 2004), since then 263 (59.2%) had died (December 2009). MEASUREMENTS: Telomere length in leukocytes by flow cytometry. RESULTS: In univariate model, telomere length at baseline and cognitive status were not significantly associated with mortality even when adjusting for age (R²=9.5%) and gender (R²=1.9%). The best prognostic predictor was the geriatric index of comorbidity (GIC) (R²=8.8%; HR=3.85) followed by more dependence in instrumental (R²=5.9%; HR=3.85) and based (R²=2.3%; HR=0.84) activities of daily living and lower albumin levels (R²=1.5%; HR=0.97). Obesity (BMI>30: R²=1.6%; HR=0.55) was significantly associated with a two-fold decrease in the risk of mortality compared to BMI between 20-25. When all independent variables were entered in a full multiple Cox regression model (R²=21.4%), the GIC was the strongest risk predictor followed by the nutritional and functional variables. CONCLUSION: Neither telomeres length nor the presence of dementia are predictors of survival whereas the weight of multiple comorbidity conditions, nutritional and functional impairment are significantly associated with 5-year mortality in the oldest old.

[Identification of patients at risk for adverse outcomes in emergency department: which screening tools?]. / Identification aux urgences des patients âges à risque d'évolutions défavorables: quels outils?

Taking care of elderly patients is difficult in emergency settings. Such patients are at risk of becoming non autonomous or to be rehospitalized. An individualized evaluation makes it possible to decrease this risk but is time consuming, which represents a problem when it is crucial to maintain the flux of patients. Several tools allowing the tracking down of patients at risk have been developed with the aim to identify those who are likely to benefit from a management and those who could, on the opposite, be discharged without performing investigations. The aim of this review is to depict the different tools available to track down patients at risk and to evaluate their efficacy and usefulness in an emergency setting.