The Fenice project to evaluate and improve the quality of healthcare in high-dependency care units: results after the first year.

High-Dependency care Units (HDUs) have been introduced worldwide as intermediate wards between Intensive Care Units (ICUs) and general wards. Performing a comparative assessment of the quality of care in HDU is challenging because there are no uniform standards and heterogeneity among centers is wide. The Fenice network promoted a prospective cohort study to assess the quality of care provided by HDUs in Italy. This work aims at describing the structural characteristics and admitted patients of Italian HDUs. All Italian HDUs affiliated to emergency departments were eligible to participate in the study. Participating centers reported detailed structural information and prospectively collected data on all admitted adult patients. Patients' data are presented overall and analyzed to evaluate the heterogeneity across the participating centers. A total of 12 HDUs participated in the study and enrolled 3670 patients. Patients were aged 68 years on average, had multiple comorbidities and were on major chronic therapies. Several admitted patients had at least one organ failure (39%). Mortality in HDU was 8.4%, raising to 16.6% in hospital. While most patients were transferred to general wards, a small proportion required ICU transfer (3.9%) and a large group was discharged directly home from the HDU (31%). The expertise of HDUs in managing complex and fragile patients is supported by both the available equipment and the characteristics of admitted patients. The limited proportion of patients transferred to ICUs supports the hypothesis of preventing of ICU admissions. The heterogeneity of HDU admissions requires further research to define meaningful patients' outcomes to be used by quality-of-care assessment programs.

High Flow Nasal Cannula compared to Continuous Positive Airway Pressure: a bench and physiological study.

High-flow nasal cannula (HFNC) is extensively used for acute respiratory failure. However, questions remain regarding its physiological effects. We explored 1) whether HFNC produced similar effects to continuous positive airway pressure (CPAP); 2) possible explanations of respiratory rate changes; 3) the effects of mouth opening. Two studies were conducted: a bench study using a manikin's head with lungs connected to a breathing simulator while delivering HFNC flow rates from 0 to 60L/min; a physiological cross-over study in 10 healthy volunteers receiving HFNC (20 to 60L/min) with the mouth open or closed and CPAP 4cmH2O delivered through face-mask. Nasopharyngeal and esophageal pressures were measured; tidal volume and flow were estimated using calibrated electrical impedance tomography. In the bench study, nasopharyngeal pressure at end-expiration reached 4cmH2O with HFNC at 60L/min, while tidal volume decreased with increasing flow. In volunteers with HFNC at 60L/min, nasopharyngeal pressure reached 6.8cmH2O with mouth closed and 0.8cmH2O with mouth open; p<0.001. When increasing HFNC flow, respiratory rate decreased by lengthening expiratory time, tidal volume did not change, and effort decreased (pressure-time product of the respiratory muscles); at 40L/min, effort was equivalent between CPAP and HFNC40L/min and became lower at 60L/min (p=0.045). During HFNC with mouth closed, and not during CPAP, resistance to breathing was increased, mostly during expiration. In conclusion, mouth closure during HFNC induces a positive nasopharyngeal pressure proportional to flow rate and an increase in expiratory resistance that might explain the prolonged expiration and reduction in respiratory rate and effort, and contribute to physiological benefits.

SARS-CoV-2 microfluidic antigen point-of-care testing in Emergency Room patients during COVID-19 pandemic.

In Emergency Room, Point-of-care antigen testing for SARS-CoV-2 antigen can expedite clinical strategies for patient management. We tested 1,232 consecutive patients during Italian second wave peak using the recent LumiraDx microfluidic assay. This assay showed high concordance (96.9 %), sensitivity and specificity compared to molecular testing, being highly valuable.

One-Year Readmission Following Undifferentiated Acute Hypercapnic Respiratory Failure.

Patients with acute hypercapnic respiratory failure (AHRF) often require hospitalization and respiratory support. Early identification of patients at risk of readmission would be helpful. We evaluated 1-y readmission and mortality rates of patients admitted for undifferentiated AHRF and identified the impact of initial severity on clinically important outcomes. We retrospectively analyzed patients who presented with AHRF to the emergency department of St Michael's Hospital in 2017. We collected data about patients' characteristics, hospital admission, readmission and mortality one year after the index admission. We analyzed predictors of readmission and mortality and conducted a survival analysis comparing patients who did and did not receive ventilatory support. A cohort of 212 patients with AHRF who survived their hospital admission were analyzed. At one year, 150 patients (70.8%) were readmitted and 19 (9%) had died. Main diagnoses included chronic obstructive pulmonary disease (60%), congestive heart failure (36%), asthma (22%) and obesity (19%), and these categories of patients had similar 1 y readmission rates. One third had more than one coexisting chronic illness. Although comorbidities were more frequent in readmitted patients, only a history of previous hospital admissions remained associated with 1 y readmission and mortality in multivariate analysis. Need for ventilatory support at admission was not associated with higher 1 y probability of readmission or death. Undifferentiated AHRF is the presentation of multiple chronic illnesses. Patients who survive one episode of AHRF and with previous history of admission have the highest risk of readmission and death regardless of whether they receive ventilatory support during index admission.

Comorbidities and Readmissions in Survivors of Acute Hypercapnic Respiratory Failure.

Chronic obstructive pulmonary disease (COPD) is defined by chronic airflow obstruction, but is presently considered as a complex, heterogeneous, and multicomponent disease in which comorbidities and extrapulmonary manifestations make important contributions to disease expression. COPD-related hospital readmission. In particular frequent intensive care unit (ICU) readmissions for exacerbations represent a major challenge and place a high burden on patient outcomes and health-related quality of life, as well as on the healthcare system.In this narrative review, we first address major and often undiagnosed comorbidities associated with COPD that could have an impact on hospital readmission after an index ICU admission for acute hypercapnic respiratory failure. Some guidance for treatment is discussed. Second, we present predictors of hospital and ICU readmission and discuss various strategies to reduce such events.There is a strong rationale to detect and treat major comorbidities early after index ICU admission for acute hypercapnic respiratory failure. It still remains unclear, however, if a comprehensive and holistic approach to comorbidities in frail patients surviving hypercapnic respiratory failure can efficiently reduce the readmission rate.

Prospective diagnostic and prognostic study of copeptin in suspected acute aortic syndromes.

Acute aortic syndromes (AAS) are cardiovascular emergencies with unmet diagnostic needs. Copeptin is released upon stress conditions and is approved for rule-out of myocardial infarction (MI). As MI and AAS share presenting symptoms, stress mechanisms and necessity for rapid diagnosis, copeptin appears as an attractive biomarker also for AAS. We thus performed a diagnostic and observational study in Emergency Department (ED) outpatients. Inclusion criteria were chest/abdominal/back pain, syncope and/or perfusion deficit, plus AAS in differential diagnosis. Blood samples were obtained in the ED. 313 patients were analyzed and 105 (33.5%) were diagnosed with AAS. Median copeptin was 38.91 pmol/L (interquartile range, IQR, 16.33-173.4) in AAS and 7.51 pmol/L (IQR 3.58-15.08) in alternative diagnoses (P < 0.001). Copeptin (≥10 pmol/L) had a sensitivity of 80.8% (95% confidence interval, CI, 72.2-87.2) and a specificity of 63.6% (CI 56.9-69.9) for AAS. Within 6 hours, the sensitivity and specificity were 88.7% (CI 79.3-94.2) and 52.4% (CI 42.9-61.8) respectively. Combination with D-dimer did not increase the diagnostic yield. Furthermore, copeptin ≥25 pmol/L predicted mortality in patients with alternative diagnoses but not with AAS. In conclusion, copeptin increases in most patients with AAS within the first hours, but the accuracy of copeptin for diagnosis AAS is suboptimal.

White blood cell and platelet count as adjuncts to standard clinical evaluation for risk assessment in patients at low probability of acute aortic syndrome.

AIMS: Pre-test probability assessment is key in the approach to suspected acute aortic syndromes (AASs). However, most patients with AAS-compatible symptoms are classified at low probability, warranting further evaluation for decision on aortic imaging. White blood cell count, platelet count and fibrinogen explore pathophysiological pathways mobilized in AASs and are routinely assayed in the workup of AASs. However, the diagnostic performance of these variables for AASs, alone and as a bundle, is unknown. We tested the hypothesis that white blood cell count, platelet count and/or fibrinogen at presentation may be applied as additional tools to standard clinical evaluation for pre-test risk assessment in patients at low probability of AAS. METHODS AND RESULTS: This was a retrospective observational study conducted on consecutive patients managed in our Emergency Department from 2009 to 2014 for suspected AAS. White blood cell count, platelet count and fibrinogen were assayed during evaluation in the Emergency Department. The final diagnosis was obtained by computed tomography angiography. The pre-test probability of AAS was defined according to guidelines. Of 1210 patients with suspected AAS, 1006 (83.1%) were classified at low probability, and 271 (22.4%) were diagnosed with AAS. Within patients at low probability, presence of at least one alteration among white blood cell count >9*103/µl, platelet count <200*103/µl and fibrinogen <350 mg/dl was associated with a sensitivity of 95.5% (89.7-98.5%) and a specificity of 18.3% (15.6-21.2%). In patients at low probability, white blood cell count >9*103/µl and platelet count <200*103/µl were found as independent predictors of AAS beyond established clinical risk markers. Within patients at low probability, the estimated risk of AAS based on the number of alterations amongst white blood cell count >9*103/µl and platelet count <200*103/µl was 2.7% (1.2-5.7%) with zero alterations, 11.3% (8.8-14.3%) with one alteration and 31.9% (24.8-40%) with two alterations ( p<0.001). CONCLUSION: In addition to standard clinical evaluation, white blood cell count and platelet count may be used in patients at low pre-test probability to fine-tune risk assessment of AAS.