HACOR score to predict NIV failure in patients with COVID-related hypoxemic respiratory failure managed in the ordinary ward and in the critical care setting.

We evaluated the prevalence of non-invasive ventilation (NIV) failure among patients with COVID-19-related pneumonia, managed in the ordinary ward and in the HDU/ICU and we tested the prognostic role of the HACOR score in those different settings. This is a retrospective study, conducted in the University-Hospital Careggi. We included all subjects with COVID-19 and ARF requiring NIV between March 2020 and May 2021, respectively managed in the ordinary ward (G1) and in the critical care setting (G2). Clinical parameters, HACOR and SOFA score were evaluated at Day 0 and after 1, 2 and 5 days of treatment. The primary outcome was NIV failure. 13% G1 patients and 40% G2 patients underwent endotracheal intubation (ETI). NIV was successful in 60% G1 AND 43% G2 patients (p < 0.001). In G1, compared to those with successful NIV, patients who underwent ETI, had a higher HACOR since the baseline evaluation (T0: 6 [5-6] vs 5 [3-6]; T1: 6 [5-6] vs 5 [3-6], all p < 0.05). An HACOR score > 5 was associated with an increased prevalence of ETI independent to an advanced age and a SOFA score > 5 both in G1 (T1: RR 4.87, 95% CI 1.462-16.275; T5: 3.630, 95% CI 0.979-13.462) and G2 (T0: 1.76, 95% CI 0.906-3.422; T1: 3.38, 95% CI 1.386-8.265). Among patients with COVID-related-ARF, NIV could be managed in the ordinary ward in a consistent proportion of patients and, among them, an HACOR score > 5 was independently associated with increased NIV failure from the earliest evaluations.

4C mortality score and COVID-19 mortality risk score: an analysis in four different age groups of an Italian population.

To evaluate the prognostic stratification ability of 4C Mortality Score and COVID-19 Mortality Risk Score in different age groups. Retrospective study, including all patients, presented to the Emergency Department of the University Hospital Careggi, between February, 2020 and May, 2021, and admitted for SARS-CoV2. Patients were divided into four subgroups based on the quartiles of age distribution: patients < 57 years (G1, n = 546), 57-71 years (G2, n = 508), 72-81 years (G3, n = 552), and > 82 years (G4, n = 578). We calculated the 4C Mortality Score and COVID-19 Mortality Risk Score. The end-point was in-hospital mortality. In the whole population (age 68 ± 16 years), the mortality rate was 19% (n = 424), and increased with increasing age (G1: 4%, G2: 11%, G3: 22%, and G4: 39%, p < 0.001). Both scores were higher among non-survivors than survivors in all subgroups (4C-MS, G1: 6 [3-7] vs 3 [2-5]; G2: 10 [7-11] vs 7 [5-8]; G3: 11 [10-14] vs 10 [8-11]; G4: 13 [12-15] vs 11 [10-13], all p < 0.001; COVID-19 MRS, G1: 8 [7-9] vs 9 [9-11], G2: 10 [8-11] vs 11 [10-12]; G3: 11 [10-12] vs 12 [11-13]; G4: 11 [10-13] vs 13 [12-14], all p < 0.01). The ability of both scores to identify patients at higher risk of in-hospital mortality, was similar in different age groups (4C-MS: G1 0.77, G2 0.76, G3 0.68, G4 0.72; COVID-19 MRS: G1 0.67, G2 0.69, G3 0.69, G4 0.72, all p for comparisons between subgroups = NS). Both scores confirmed their good performance in predicting in-hospital mortality in all age groups, despite their different mortality rate.

Clinical characteristics of patients hospitalized for COVID-19: comparison between different age groups.

BACKGROUND: To test whether known prognosticators of COVID-19 maintained their stratification ability across age groups. METHODS: We performed a retrospective study. We included all patients (n = 2225), who presented to the Emergency Department of the Careggi University Hospital for COVID-19 in the period February 2020-May 2021, and were admitted to the hospital. The following parameters were analyzed as dichotomized: 1) SpO2/FiO2 ≤ or > 214; 2) creatinine < or ≥ 1.1 mg/dL; 3) Lactic dehydrogenase (LDH) < or ≥ 250 U/mL; 4) C Reactive Protein (CRP) < or ≥ 60 mg/100 mL. We divided the study population in four subgroups, based on the quartiles of distribution of age (G1 18-57 years, G2 57-71 years, G3 72-81 years, G4 > 82). The primary end-point was in-hospital mortality. RESULTS: By the univariate analysis, the aforementioned dichotomized variables demonstrated a significant association with in-hospital mortality in all subgroups. We introduced them in a multivariate model: in G1 SpO2/FiO2 ≤ 214 (Relative Risk, RR 15.66; 95%CI 3.98-61,74), in G2 creatinine ≥ 1.1 mg/L (RR 2.87, 95%CI 1.30-6.32) and LDH ≥ 250 UI/L (RR 8.71, 95%CI 1,15-65,70), in G3 creatinine ≥ 1.1 mg/L (RR 1.98, 95%CI 1,17-3.36) and CRP ≥ 60 ng/L (RR 2.14, 95%CI 1.23-3.71), in G4 SpO2/FiO2 ≤ 214 (RR 5.15, 95%CI 2.35-11.29), creatinine ≥ 1.1 mg/L (RR 1.75, 95%CI 1.09-2.80) and CRP ≥ 60 ng/L (RR 1.82, 95%CI 1.11-2.98) were independently associated with an increased in-hospital mortality. CONCLUSIONS: A mild to moderate respiratory failure showed an independent association with an increased mortality rate only in youngest and oldest patients, while kidney disease maintained a prognostic role regardless of age.

Integrated ultrasonographic approach to evaluate fluid responsiveness in critically ill patients.

In patients with acute circulatory failure, we tested the feasibility of the evaluation of the fluid-responsiveness (FR) by a combined approach with echocardiography and lung ultrasound. We enrolled 113 consecutive patients admitted to the Emergency Department High-Dependency Unit of Careggi University-Hospital from January 2015 to June 2020. We assessed: (1) inferior vena cava collapsibility index (IVCCI); (2) the variation of aortic flow (VTIAo) during the passive leg raising test (PLR); (3) the presence of interstitial syndrome by lung ultrasound. FR was defined as an increase in the VTIAo > 10% during PLR or IVCCI ≥ 40%. FR patients were treated with fluid and those non-FR with diuretics or vasopressors. The therapeutic strategy was reassessed after 12 h. The goal was to maintain the initial strategy. Among 56 FR patients, at lung ultrasound, 15 patients showed basal interstitial syndrome and 4 all-lung involvement. One fluid bolus was given to 51 patients. Among 57 non-FR patients, 26 patients showed interstitial syndrome at lung ultrasound (basal fields in 14, all lungs in 12). We administered diuretics to 21 patients and vasopressors to 4 subjects. We had to change the initial treatment plan in 9% non-FR patients and in 12% FR patients (p = NS). In the first 12 h after the evaluation, non-FR patients received significantly less fluids compared to those FR (1119 ± 410 vs 2010 ± 1254 ml, p < 0.001). The evaluation of the FR based on echocardiography and lung ultrasound was associated with the reduction in fluid administration for non-FR patients compared with those FR.

Role of prognostic scores in predicting in-hospital mortality and failure of non-invasive ventilation in adults with COVID-19.

We tested the prognostic performance of different scores for the identification of subjects with acute respiratory failure by COVID-19, at risk of in-hospital mortality and NIV failure. We conducted a retrospective study, in the Medical High-Dependency Unit of the University-Hospital Careggi. We included all subjects with COVID-19 and ARF requiring non-invasive ventilation (NIV) between March 2020 and January 2021. Clinical parameters, the HACOR score (Heart rate, Acidosis, Consciousness, Oxygenation, Respiratory Rate) and ROX index ((SpO2/FiO2)/respiratory rate) were collected 3 (-3) and 1 day (-1) before the NIV initiation, the first day of treatment (Day0) and after 1 (+1), 2 (+2), 5 (+5), 8 (+8) and 11 (+11) of treatment. The primary outcomes were in-hospital mortality and NIV failure. We included 135 subjects, mean age 69±13 years, 69% male. Patients, who needed mechanical ventilation, showed a higher HACOR score (Day0: 6 [5-7] vs 6 [6-7], p=.057; Day+2: 6 [6-6] vs 6 [4-6], p=.013) and a lower ROX index (Day0: 4.2±2.3 vs 5.1±2.3, p=.055; Day+2: 4.4±1.2.vs 5.5±1.3, p=.001) than those with successful NIV. An HACOR score >5 was more frequent among nonsurvivors (Day0: 82% vs 58%; Day2: 82% vs 48%, all p<0.01) and it was associated with in-hospital mortality (Day0: RR 5.88, 95%CI 2.01-17.22; Day2: RR 4.33, 95%CI 1.64-11.41) independent to age and Charlson index. In conclusion, in subjects treated with NIV for ARF caused by COVID19, respiratory parameters collected after the beginning of NIV allowed to identify those at risk of an adverse outcome. An HACOR score >5 was independently associated with increased mortality rate.

Improving technical and non-technical skills of emergency medicine residents through a program based on high-fidelity simulation.

We evaluated the effectiveness of a training program with high-fidelity simulation (HFS) to improve technical (TS) and non-technical skills (NTS) of residents in Emergency Medicine. We conducted a 2-year training program for the management of a critical patient based on HFS (6 sessions for every year, four teams who performed 4 scenarios per session). At the beginning of the training program, all participants received a presentation of Crisis Resource Management (CRM) principles. Each session covered a different topic in Emergency Medicine Curriculum. TSs were measured as the proportion of completed tasks in the following areas: airway, breathing, circulation, disability and exposure (ABCDE) assessment and management, completion of anamnesis based on AMPLE (allergy, medications, previous illness, last meal and event) scheme, diagnostic and therapeutic assessment. NTSs were rated by the Clinical Teamwork Scale (CTS). Scores' values and the percentage of correctly performed actions were presented as median with interquartile range. Friedmann non-parametric test was employed to evaluate the trend of TS and NTS over the following sessions. Among the TS, the assessment and management of ABCDE and completion of therapeutic tasks improved (all p < 0.05). The completion of diagnostic tasks (p = 0.050) tended toward significant improvement. The overall CTS score (first session 61 ± 17, last session 84 ± 16, p < 0.001) as well as Communication (first 13.7 ± 3.6, last 18.7 ± 3.5, p < 0.001), Situational Awareness (first 5.3 ± 1.8, last 6.4 ± 1.4, p = 0.012) and Role Responsibility subscores (first 9.7 ± 2.8, last 12.1 ± 3.7, p < 0.001) increased through the following sessions. Therefore, HFS has proven to be an effective instrument to improve TS and NTS among Emergency Medicine residents.

Comparison of Troponin I levels versus myocardial dysfunction on prognosis in sepsis.

In the context of sepsis, we tested the relationship between echocardiographic findings and Troponin, and their impact on prognosis. In this prospective study, we enrolled 325 septic patients (41% with shock), not mechanically ventilated, between October, 2012 and June, 2019 among those admitted to our High-Dependency Unit. By echocardiography within 24 h from the admission, sepsis-induced myocardial dysfunction (SIMD) was defined as left ventricular (LV) systolic dysfunction (speckle-tracking-based global longitudinal peak systolic strain, GLS, > - 14%) and/or right ventricular (RV) systolic dysfunction (Tricuspid Annular Plane Systolic Excursion, TAPSE < 16 mm). Troponin I levels were measured upon admission (T0) and after 24 h (T1); it was considered normal if > 0.1 ng/mL. Mortality was assessed at day-7 and day-28 end-points. One-hundred and forty-two patients had normal Troponin level at T0 and T1 (G1), 69 had abnormal levels at T0 or T1 (G2) and 114 showed abnormal Troponin levels at both T0 and T1 (G3). Compared to G1, patients in G3 had worse LV and RV systolic function (GLS - 11.6 ± 3.4% vs - 14.0 ± 3.5%, p < 0.001; TAPSE 18 ± 0.5 vs 19 ± 0.5 mm, p = 0.047) and greater day-28 (34% vs 20%, p = 0.015) mortality. In a Cox survival analysis including age, Troponin and SOFA score, mortality was predicted by the presence of SIMD (RR 3.24, 95% CI 1.72-6.11, p < 0.001) with no contribution of abnormal Troponin level. While abnormal Troponin levels were associated with SIMD diagnosed by echocardiography, only the presence of SIMD predicted the short- and medium-term mortality rate, without an independent contribution of increased Troponin levels.

D-Dimer Tests in the Emergency Department: Current Insights.

In the Emergency Medicine setting, D-dimer is currently employed in the diagnostic assessment of suspected venous thromboembolism and aortic syndrome. The nonspecific symptoms reported by patients, like chest pain, dyspnea or syncope, uncover a wide range of differential diagnosis, spanning from mild to life-threatening conditions. Therefore, we assumed the perspective of the Emergency Physician and, in this narrative review, we reported a brief presentation of the epidemiology of these symptoms and the characteristics of patients, in whom we could suspect the aforementioned pathologies. We also reported in which patients D-dimer gives useful information. In fact, when the probability of the disease is high, the D-dimer level is futile. On the contrary, given the low specificity of the test, when the probability of the disease is very low, a false-positive value of the D-dimer only increases the risk of overtesting. Patients with low to moderate probability really benefit from the D-dimer testing, in order to prevent the execution of expensive and potentially dangerous imaging tests. In the second part of the review, we focused on the prognostic value of the test in septic patients. The early prognostic stratification of septic patients remains a challenge for the Emergency Physician, in the absence of a definite biomarker or score to rely on. Therefore, we need several parameters for the early identification of patients at risk of an adverse prognosis and the D-dimer may play a role in this demanding task. SARS COVID-19 patients represent an emerging reality, where the role of the D-dimer for prognostic stratification could be relevant. In fact, in patients with severe forms of this disease, the D-dimer reaches very high values, which appear to parallel the course of respiratory failure. Whether the test may add useful information for the management of these patients remains to be determined.

Serum sodium alterations in SARS CoV-2 (COVID-19) infection: impact on patient outcome.

OBJECTIVE: Hyponatremia is the most common electrolyte disorder in hospitalized patients and occurs in about 30% of patients with pneumonia. Hyponatremia has been associated with a worse outcome in several pathologic conditions The main objective of this study was to determine whether serum sodium alterations may be independent predictors of the outcome of hospitalized COVID-19 patients. DESIGN AND METHODS: In this observational study, data from 441 laboratory-confirmed COVID-19 patients admitted to a University Hospital were collected. After excluding 61 patients (no serum sodium at admission available, saline solution infusion before sodium assessment, transfer from another hospital), data from 380 patients were analyzed. RESULTS: 274 (72.1%) patients had normonatremia at admission, 87 (22.9%) patients had hyponatremia and 19 (5%) patients had hypernatremia. We found an inverse correlation between serum sodium and IL-6, whereas a direct correlation between serum sodium and PaO2/FiO2 ratio was observed. Patients with hyponatremia had a higher prevalence of non-invasive ventilation and ICU transfer than those with normonatremia or hypernatremia. Hyponatremia was an independent predictor of in-hospital mortality (2.7-fold increase vs normonatremia) and each mEq/L of serum sodium reduction was associated with a 14.4% increased risk of death. CONCLUSIONS: These results suggest that serum sodium at admission may be considered as an early prognostic marker of disease severity in hospitalized COVID-19 patients.

Incidence of deep vein thrombosis through an ultrasound surveillance protocol in patients with COVID-19 pneumonia in non-ICU setting: A multicenter prospective study.

OBJECTIVE: The aim of this study was to assess the incidence of deep vein thrombosis (DVT) of the lower limbs, using serial compression ultrasound (CUS) surveillance, in acutely ill patients with COVID-19 pneumonia admitted to a non-ICU setting. METHODS: Multicenter, prospective study of patients with COVID-19 pneumonia admitted to Internal Medicine units. All patients were screened for DVT of the lower limbs with serial CUS. Anticoagulation was defined as: low dose (enoxaparin 20-40 mg/day or fondaparinux 1.5-2.5 mg/day); intermediate dose (enoxaparin 60-80 mg/day); high dose (enoxaparin 120-160 mg or fondaparinux 5-10 mg/day or oral anticoagulation). The primary end-point of the study was the diagnosis of DVT by CUS. RESULTS: Over a two-month period, 227 consecutive patients with moderate-severe COVID-19 pneumonia were enrolled. The incidence of DVT was 13.7% (6.2% proximal, 7.5% distal), mostly asymptomatic. All patients received anticoagulation (enoxaparin 95.6%) at the following doses: low 57.3%, intermediate 22.9%, high 19.8%. Patients with and without DVT had similar characteristics, and no difference in anticoagulant regimen was observed. DVT patients were older (mean 77±9.6 vs 71±13.1 years; p = 0.042) and had higher peak D-dimer levels (5403 vs 1723 ng/mL; p = 0.004). At ROC analysis peak D-dimer level >2000 ng/mL (AUC 0.703; 95% CI 0.572-0.834; p = 0.004) was the most accurate cut-off value able to predict DVT (RR 3.74; 95%CI 1.27-10, p = 0.016). CONCLUSIONS: The incidence of DVT in acutely ill patients with COVID-19 pneumonia is relevant. A surveillance protocol by serial CUS of the lower limbs is useful to timely identify DVT that would go otherwise largely undetected.

Plasma PCSK9 levels and sepsis severity: an early assessment in the emergency department.

The aim of the study is to evaluate the prognostic value of early PCSK9 levels in non-intubated septic patients admitted to the emergency department. This report utilized a portion of the data collected in a prospective study, with the aim of identifying reliable biomarkers for an early sepsis diagnosis. In the period November 2011-December 2016, we enrolled 268 patients, admitted to our High-Dependency Unit from the emergency department with a diagnosis of sepsis. Study-related blood samplings were performed at ED-HDU admission (T0), after 6 h (T6) and 24 h (T24). The primary endpoint was in-hospital mortality rate. PCSK9 circulating levels were higher than the normal value (≤ 313 ng/mL): at T0 661 ± 405 ng/mL, at T6 687 ± 417 ng/mL, at T24 718 ± 430 ng/mL. We divided the study population based on T0 quartiles distribution (≤ 370, 370-600, 600-900 and > 900 ng/ml). At T0, patients with normal PCSK9 showed the highest mortality compared to those in higher quartiles (T0: 39%, 20%, 23% and 18%, p = 0.036). By T6, the mortality curve tended to become U-shaped, with the lowest mortality among patients in the intermediate subgroups and an adverse prognosis in the presence of normal or very high levels of PCSK9 (35%, 26%, 18% and 23%, p = 0.235). A Kaplan-Meier analysis showed an increased mortality in patients with T0 and T6 PCSK9 ≤ 313 ng/ml (T0: 55 vs. 80%, p = 0.001; T6: 62 vs. 78%, p = 0.034). In subgroups with increasing levels of PCSK9, we found the best prognosis in the intermediate subgroups and an increased mortality among patients with normal and high values.

Prognostic stratification in septic patients with overt and cryptic shock by speckle tracking echocardiography.

We evaluated the prevalence and prognostic value of left (LV) and right (RV) ventricular systolic dysfunction in the presence of overt and cryptic shock. In this prospective study, between October 2012 and June 2019, we enrolled 354 patients with sepsis, 41% with shock, among those admitted to the Emergency Department High-Dependency Unit. Patients were grouped based on the presence of shock, or by the presence of lactate levels ≥ (LAC +) or < 2 mmol/L (LAC-) evaluated within the first 24 h. By echocardiography performed within 24 h from the admission, LV systolic dysfunction was defined as global longitudinal strain (GLS) > -14%; RV systolic dysfunction as Tricuspid Annular Plane Systolic Excursion (TAPSE) < 16 mm. All-cause mortality was assessed at day-7 and day-28 follow-up. Mean values of LV GLS (-12.3 ± 3.4 vs -12.9 ± 3.8%) and TAPSE (1.8 ± 0.7 vs 1.8 ± 0.5 cm, all p = NS) were similar in patients with and in those without shock. LV GLS was significantly worse in LAC + than LAC- patients (- 11.2 ± 3.1 vs - 12.9 ± 3.7%, p = 0.001). In patients without shock, as well as in those LAC-, LV dysfunction was associated with increased day-28 mortality rate (78% vs 57% in non-survivors and survivors without shock and 74% vs 53% in non-survivors and survivors LAC-, all p < 0.01). LV (RR 2.26, 95% CI 1.37-3.74) and RV systolic dysfunction (RR 1.85, 95% CI 1.22-2.81) were associated with increased 28-day mortality rate in addition and independent to LAC + (RR 1.81, 95% CI 1.15-2.84). In conclusion, LV and RV ventricular dysfunction were independently associated with an increased mortality rate, altogether with the presence of cryptic shock.

Clinical risk score to predict in-hospital mortality in COVID-19 patients: a retrospective cohort study.

OBJECTIVES: Several physiological abnormalities that develop during COVID-19 are associated with increased mortality. In the present study, we aimed to develop a clinical risk score to predict the in-hospital mortality in COVID-19 patients, based on a set of variables available soon after the hospitalisation triage. SETTING: Retrospective cohort study of 516 patients consecutively admitted for COVID-19 to two Italian tertiary hospitals located in Northern and Central Italy were collected from 22 February 2020 (date of first admission) to 10 April 2020. PARTICIPANTS: Consecutive patients≥18 years admitted for COVID-19. MAIN OUTCOME MEASURES: Simple clinical and laboratory findings readily available after triage were compared by patients' survival status ('dead' vs 'alive'), with the objective of identifying baseline variables associated with mortality. These were used to build a COVID-19 in-hospital mortality risk score (COVID-19MRS). RESULTS: Mean age was 67±13 years (mean±SD), and 66.9% were male. Using Cox regression analysis, tertiles of increasing age (≥75, upper vs <62 years, lower: HR 7.92; p<0.001) and number of chronic diseases (≥4 vs 0-1: HR 2.09; p=0.007), respiratory rate (HR 1.04 per unit increase; p=0.001), PaO2/FiO2 (HR 0.995 per unit increase; p<0.001), serum creatinine (HR 1.34 per unit increase; p<0.001) and platelet count (HR 0.995 per unit increase; p=0.001) were predictors of mortality. All six predictors were used to build the COVID-19MRS (Area Under the Curve 0.90, 95% CI 0.87 to 0.93), which proved to be highly accurate in stratifying patients at low, intermediate and high risk of in-hospital death (p<0.001). CONCLUSIONS: The COVID-19MRS is a rapid, operator-independent and inexpensive clinical tool that objectively predicts mortality in patients with COVID-19. The score could be helpful from triage to guide earlier assignment of COVID-19 patients to the most appropriate level of care.

Prediction of Mortality With the Use of Noninvasive Ventilation for Acute Respiratory Failure.

BACKGROUND: In actuality, it is difficult to obtain an early prognostic stratification for patients with acute respiratory failure treated with noninvasive ventilation (NIV). We tested whether an early evaluation through a predictive scoring system could identify subjects at risk of in-hospital mortality or NIV failure. METHODS: This was a retrospective study, which included all the subjects with acute respiratory failure who required NIV admitted to an emergency department-high-dependence observation unit between January 2014 and December 2017. The HACOR (heart rate, acidosis [by using pH], consciousness [by using the Glasgow coma scale], oxygenation [by using [Formula: see text]/[Formula: see text]], respiratory rate) score was calculated before the NIV initiation (T0) and after 1 h (T1) and 24 h (T24) of treatment. The primary outcomes were in-hospital mortality and NIV failure, defined as the need for invasive ventilation. RESULTS: The study population included 644 subjects, 463 with hypercapnic respiratory failure and an overall in-hospital mortality of 23%. Thirty-six percent of all the subjects had NIV as the "ceiling" treatment. At all the evaluations, nonsurvivors had a higher mean ± SD HACOR score than did the survivors (T0, 8.2 ± 4.9 vs 6.1 ± 4.0; T1, 6.6 ± 4.8 vs 3.8 ± 3.4; T24, 5.3 ± 4.5 vs 2.0 ± 2.3 [all P < .001]). These data were confirmed after the exclusion of the subjects who underwent NIV as the ceiling treatment (T0, 8.2 ± 4.9 vs 6.1 ± 4.0 [P = .002]; T1, 6.6 ± 4.8 vs 3.8 ± 3.4; T24, 5.3 ± 4.5 vs 2.0 ± 3.2 [all P < .001]). At T24, an HACOR score > 5 (Relative Risk [RR] 2.39, 95% CI 1.60-3.56) was associated with an increased mortality rate, independent of age and the Sequential Organ Failure Assessment score. CONCLUSIONS: Among the subjects treated with NIV for acute respiratory failure, the HACOR score seemed to be a useful tool to identify those at risk of in-hospital mortality.

Epidemiology of right ventricular systolic dysfunction in patients with sepsis and septic shock in the emergency department.

We evaluated whether in sepsis, right ventricular (RV) systolic dysfunction (RVSD) predicts short-term all-cause mortality, independently to left ventricular (LV) global longitudinal peak systolic strain (GLS). This is a prospective observational study. We enrolled 252 septic patients (40% with shock) between October 2012 and July 2018 among those admitted to High-Dependency Unit. By echocardiography within 24 h from the admission (T1), RVSD was defined as Tricuspid Annular Plane Systolic Excursion (TAPSE) < 16 mm, while left ventricular systolic dysfunction (LVSD) was defined by bi-dimensional speckle-tracking-based global longitudinal peak systolic strain (GLS) > -14%. We assessed all-cause mortality at day-7 and at day-28 from admission. Mortality rate was 14% by day-7 and 26% by day-28 follow-up. RVSD was found in 85 patients (34%), was isolated in 29% (25/85) and coexisted with LVSD in 71% (60/85) patients. LVSD was present in 63% of patients (159/252), and was isolated in 99 patients. Day-7 mortality rate was twofold higher in the presence of RVSD (20% vs 11%), without reaching the statistical significance (p = 0.097). By day-28, mortality rate was as high as 44% with and 23% without RVSD (p = 0.001). In a Cox survival analysis, RVSD predicted higher mortality rate by day-28 follow-up (RR 2.43, 95% CI 1.47-4.00, p = 0.001), independent to shock and in addition to LVSD. In sepsis, RVSD predicted all-cause mortality by day-28 follow-up, independent to LVSD.

Prognostic value of serial lactate levels in septic patients with and without shock.

To analyze the prognostic value of lactate levels for day-7 and in-hospital mortality, in septic patients with and without shock. In the period November 2011-December 2016, we enrolled 268 patients, admitted to our High-Dependency Unit with a diagnosis of sepsis. Lactate dosage was performed at ED-HDU admission (T0), after 2 h (T2), 6 h (T6) and 24 h (T24); lactate clearance was calculated at T2 and T6 [T2: ((LAC T0-LAC T2/LAC T0)*100)]; T6: [(LAC T0-LAC T6/LAC T0)*100]. The end-points were day-7 and in-hospital mortality. At every evaluation, the lactate level was higher in patients with shock than in those without (T0 3.8 ± 3.8 vs 2.4 ± 2.1; T6 2.9 ± 3.2 vs 1.6 ± 1.1; T24 3.0 ± 4.4 vs 1.4 ± 0.9 meq/L, all p < 0.001). Among patients with shock, an analysis for repeated measures confirmed a more marked lactate level reduction in survivors compared with non-survivors, both by day-7 and in-hospital mortality (p = 0.057 and p = 0.006). A Kaplan-MeIer analysis confirmed a significantly better day-7 survival in patients with T6 (with shock 86% vs 70%; without shock 93% vs 82, all p < 0.05) and T24 (with shock 86% vs 70%; without shock 93% vs 82, all p < 0.05) lactate ≤ 2 meq/L, compared with patients with higher levels. A T6 lactate clearance > 10% was more frequent among in-hospital survivors in the whole study population (57% vs 39%) and in patients with shock (74% vs 46%, all p < 0.05). Higher lactate levels and decreased clearance were associated with an increased short-term and intermediate-term mortality regardless of the presence of shock.

SOFA Score prognostic performance among patients admitted to High-Dependency Units.

BACKGROUND: The aim of this study was to assess prognostic stratification in patients admitted in two Italian Emergency-Department High-Dependency Units (ED-HDU). METHODS: From June 2014, to July 2016, we recorded all patients admitted in the ED-HDU of the Careggi University Hospital and the Vittorio Emanuele University Hospital in a standardized database. Charlson Index and SOFA Score were calculated to evaluate comorbidity burden and severity of organ dysfunction. End-points were HDU and in-hospital mortality rate and need of Intensive Care Unit (ICU) transfer. RESULTS: The overall number of patients admitted in the two Units was 3311, 1822 in Florence and 1489 in Catania. HDU mortality rate was 5% (N.=171); compared with survivors, non-survivors showed a higher SOFA Score (10.0±4.2 vs. 3.5±2.9, P<0.001) and a higher number of organ dysfunctions (1.6±0.9 vs. 0.6±0.8, P<0.001). All patients with a SOFA Score in the first and second quartile survived HDU admission (only two non-survivors among patients in the second quartile), while mortality was disproportionally high in the group with a score value in the fourth quartile (0%, 0.2%, 3% and 14%, P<0.001). Presence and number of organ failure, as well as SOFA Score (5.6±4.0 vs. 3.4±2.8, P<0.001), were significantly higher in patients transferred to ICU than in those admitted in an ordinary ward or discharged. A higher SOFA Score (RR 1.55, 95% CI: 1.47-1.63, P<0.001) was associated with an increased HDU mortality, independent of age and Charlson Index. CONCLUSIONS: SOFA Score showed a good discrimination ability for both HDU - mortality and indication to increase the level of care.