Assessing triage efficiency in Italy: a comparative study using simulated cases among nurses.

BACKGROUND: Emergency Departments (EDs) across Italy use different triage systems, which vary from region to region. This study aimed to assess whether nurses working in different EDs assign triage codes in a similar and standardized manner. METHODS: A multicenter observational simulation study involved the EDs of Bolzano Hospital, Merano Hospital, Pisa University Hospital, and Rovereto Hospital. All participating nurses were given 30 simulated clinical cases (vignettes) and asked to assign triage codes according to the triage systems used in their EDs. Subsequently, we assessed inter-rater agreement and evaluated if code assignment had different performance among hospitals in relation to different clinical outcomes. RESULTS: Eighty-seven nurses participated in this study. There was marked variation in assigned triage codes both across hospitals and among individual operators. The kappa values for inter-rater agreement were 0.632 for Bolzano Hospital, 0.589 for Merano Hospital, 0.464 for Pisa University Hospital, and 0.574 for Rovereto Hospital. Sensitivity and specificity levels varied considerably for the same outcomes when comparing different hospitals. CONCLUSION: There is a high degree of subjectivity in triage code assignment by ED nurses. In the interest of equitable care for patients, this variability within the same country is hardly acceptable.

An ultrasound multiparametric method to quantify liver fat using magnetic resonance as standard reference.

BACKGROUND & AIMS: There is an unmet need for a reliable and reproducible non-invasive measure of fatty liver content (FLC) for monitoring steatotic liver disease in clinical practice. Sonographic FLC assessment is qualitative and operator-dependent, and the dynamic quantification range of algorithms based on a single ultrasound (US) parameter is unsatisfactory. This study aims to develop and validate a new multiparametric algorithm based on B-mode images to quantify FLC using Magnetic Resonance (MR) values as standard reference. METHODS: Patients with elevated liver enzymes and/or bright liver at US (N = 195) underwent FLC evaluation by MR and by US. Five US-derived quantitative features [attenuation rate(AR), hepatic renal-ratio(HR), diaphragm visualization(DV), hepatic-portal-vein-ratio(HPV), portal-vein-wall(PVW)] were combined by mixed linear/exponential regression in a multiparametric model (Steatoscore2.0). One hundred and thirty-four subjects were used for training and 61 for independent validations; score-computation underwent an inter-operator reproducibility analysis. RESULTS: The model is based on a mixed linear/exponential combination of 3 US parameters (AR, HR, DV), modelled by 2 equations according to AR values. The computation of FLC by Steatoscore2.0 (mean ± std, 7.91% ± 8.69) and MR (mean ± std, 8.10% ± 10.31) is highly correlated with a low root mean square error in both training/validation cohorts, respectively (R = 0.92/0.86 and RMSE = 5.15/4.62, p < .001). Steatoscore2.0 identified patients with MR-FLC≥5%/≥10% with sensitivity = 93.2%/89.4%, specificity = 86.1%/95.8%, AUROC = 0.958/0.975, respectively and correlated with MR (R = 0.92) significantly (p < .001) better than CAP (R = 0.73). CONCLUSIONS: Multiparametric Steatoscore2.0 measures FLC providing values highly comparable with MR. It is reliable, inexpensive, easy to use with any US equipment and qualifies to be tested in larger, prospective studies as new tool for the non-invasive screening and monitoring of FLC.

Strategies to prevent blood loss and reduce transfusion in emergency general surgery, WSES-AAST consensus paper.

Emergency general surgeons often provide care to severely ill patients requiring surgical interventions and intensive support. One of the primary drivers of morbidity and mortality is perioperative bleeding. In general, when addressing life threatening haemorrhage, blood transfusion can become an essential part of overall resuscitation. However, under all circumstances, indications for blood transfusion must be accurately evaluated. When patients decline blood transfusions, regardless of the reason, surgeons should aim to provide optimal care and respect and accommodate each patient's values and target the best outcome possible given the patient's desires and his/her clinical condition. The aim of this position paper was to perform a review of the existing literature and to provide comprehensive recommendations on organizational, surgical, anaesthetic, and haemostatic strategies that can be used to provide optimal peri-operative blood management, reduce, or avoid blood transfusions and ultimately improve patient outcomes.

Diagnosis of acute aortic syndromes with ultrasound and d-dimer: the PROFUNDUS study.

BACKGROUND: In patients complaining common symptoms such as chest/abdominal/back pain or syncope, acute aortic syndromes (AAS) are rare underlying causes. AAS diagnosis requires urgent advanced aortic imaging (AAI), mostly computed tomography angiography. However, patient selection for AAI poses conflicting risks of misdiagnosis and overtesting. OBJECTIVES: We assessed the safety and efficiency of a diagnostic protocol integrating clinical data with point-of-care ultrasound (POCUS) and d-dimer (single/age-adjusted cutoff), to select patients for AAI. METHODS: This prospective study involved 12 Emergency Departments from 5 countries. POCUS findings were integrated with a guideline-compliant clinical score, to define the integrated pre-test probability (iPTP) of AAS. If iPTP was high, urgent AAI was requested. If iPTP was low and d-dimer was negative, AAS was ruled out. Patients were followed for 30 days, to adjudicate outcomes. RESULTS: Within 1979 enrolled patients, 176 (9 %) had an AAS. POCUS led to net reclassification improvement of 20 % (24 %/-4 % for events/non-events, P < 0.001) over clinical score alone. Median time to AAS diagnosis was 60 min if POCUS was positive vs 118 if negative (P = 0.042). Within 941 patients satisfying rule-out criteria, the 30-day incidence of AAS was 0 % (95 % CI, 0-0.41 %); without POCUS, 2 AAS were potentially missed. Protocol rule-out efficiency was 48 % (95 % CI, 46-50 %) and AAI was averted in 41 % of patients. Using age-adjusted d-dimer, rule-out efficiency was 54 % (difference 6 %, 95 % CI, 4-9 %, vs standard cutoff). CONCLUSIONS: The integrated algorithm allowed rapid triage of high-probability patients, while providing safe and efficient rule-out of AAS. Age-adjusted d-dimer maximized efficiency. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov, NCT04430400.

Trauma Center model application in the University Hospital of Pisa: a single-center comparative study.

The Trauma Center, Hub, is a highly specialized hospital indicated for complex major trauma management after stabilization at a 1st level hospital, Spoke. Although in the United States this organization demonstrated its effectiveness in mortality, in the Italian context, data available are limited. On 30 September 2018, the University Hospital of Pisa formalized the introduction of the Trauma Center, optimizing Emergency Department (ED) organization to guarantee the highest standard of care. The aim of this study was to demonstrate that the new model led better outcomes. We conducted a comparative retrospective study on 1154 major traumas over 24 months: the first 12 months (576 patients) correspond to the period before Trauma Center introduction, and the following 12 (457 patients) to the subsequent period. Results showed increase in greater dynamics and primary centralization by helicopter (p < 0.001, p 0.006). A systematic assessment with ABCDE algorithm was performed in a higher number of patients in the most recent period, from 38.4% to 80.3% (p < 0.001). Focused Assessment with Sonography for Trauma (FAST) performed by the emergency doctor increased after Trauma Center introduction, p value < 0.001. The data show an increase of ATLS certification among staff from 51.9 to 71.4% and a reduction in early and late mortality after the Trauma Center introduction (p value 0.05 and < 0.01). Fewer patients required intensive and surgical treatments, with a shorter hospital stay. The results demonstrate the advantage in terms of outcomes in the organization of the Trauma Center in the Italian context.

Management of intra-abdominal infections: recommendations by the Italian council for the optimization of antimicrobial use.

Intra-abdominal infections (IAIs) are common surgical emergencies and are an important cause of morbidity and mortality in hospital settings, particularly if poorly managed. The cornerstones of effective IAIs management include early diagnosis, adequate source control, appropriate antimicrobial therapy, and early physiologic stabilization using intravenous fluids and vasopressor agents in critically ill patients. Adequate empiric antimicrobial therapy in patients with IAIs is of paramount importance because inappropriate antimicrobial therapy is associated with poor outcomes. Optimizing antimicrobial prescriptions improves treatment effectiveness, increases patients' safety, and minimizes the risk of opportunistic infections (such as Clostridioides difficile) and antimicrobial resistance selection. The growing emergence of multi-drug resistant organisms has caused an impending crisis with alarming implications, especially regarding Gram-negative bacteria. The Multidisciplinary and Intersociety Italian Council for the Optimization of Antimicrobial Use promoted a consensus conference on the antimicrobial management of IAIs, including emergency medicine specialists, radiologists, surgeons, intensivists, infectious disease specialists, clinical pharmacologists, hospital pharmacists, microbiologists and public health specialists. Relevant clinical questions were constructed by the Organizational Committee in order to investigate the topic. The expert panel produced recommendation statements based on the best scientific evidence from PubMed and EMBASE Library and experts' opinions. The statements were planned and graded according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) hierarchy of evidence. On November 10, 2023, the experts met in Mestre (Italy) to debate the statements. After the approval of the statements, the expert panel met via email and virtual meetings to prepare and revise the definitive document. This document represents the executive summary of the consensus conference and comprises three sections. The first section focuses on the general principles of diagnosis and treatment of IAIs. The second section provides twenty-three evidence-based recommendations for the antimicrobial therapy of IAIs. The third section presents eight clinical diagnostic-therapeutic pathways for the most common IAIs. The document has been endorsed by the Italian Society of Surgery.

Reversal or Repletion Treatment Strategies and Outcomes of Patients With Major Bleeding Events Managed in the Emergency Department: Large Real-Life Investigation in the Northwestern Healthcare District of Tuscany.

OBJECTIVE: To verify the incidence of bleeding events in patients on ongoing anticoagulant treatment in the real world and compare the results of different reversal or repletion strategies currently available for pharmacological treatment. METHODS: Patients managed in the emergency department (ED) with major bleeding events, on ongoing anticoagulation were stratified according to bleeding site and reversal or repletion therapy with andexanet alfa (ADX), idarucizumab (IDA), prothrombin complex concentrate (PCC), and vitamin K (Vit-K). ENDPOINT: Death at 30 days was compared in the subgroups with cerebral hemorrhage (CH) and gastrointestinal (GI) bleeding. RESULTS: Of the 809,397 visits in the years 2022-2023 at 6 EDs in the northwestern health district of Tuscany, 5372 patients with bleeding events were considered; 3740 were excluded due to minor bleeding or propensity score matching. Of the remaining 1632 patients with major bleeding, 548 on ongoing anticoagulation were enrolled; 334 received reversal or repletion agents. Patients with CH (n = 176) and GI bleeding (n = 108) represented the primary analysis cohorts in the study's strategic treatment assessment. Overall, 30-day survival of patients on ongoing aFXa treatment receiving on-label ADX versus off-label PCC showed a relative increase of 71%, while 30-day survival of patients on ongoing aFII receiving on-label IDA versus off-label PCC showed a relative increase of 30%; no substantial difference was found when comparing on-label PCC combined with Vit-K versus off-label Vit-K alone. Indeed, patients undergoing on-label ADX or IDA showed a statistically significant difference over off-label PCC (ADX vs. PCC: n = 15, events = 4, mean ± SD 82.50 ± 18.9, vs. 49, 13, 98.82 ± 27, respectively; analysis of variance [ANOVA] variance 8627; P < 0.001; posthoc test diff 32, 95% confidence interval: 28-35; P < 001; IDA vs. PCC: 20, 5, 32.29 ± 15.0 vs. 2, 1, 28.00 ± 0.0, respectively; ANOVA 1484; P < 0.001; posthoc test -29, -29 -29, respectively; P = n.d.). On-label PCC combined with Vit-K showed overall a slight statistically significant difference versus off-label Vit-K alone (52, 16, 100.58 ± 22.6 vs. 53, 11, 154.62 ± 29.8, respectively; ANOVA 310; P < 0.02; posthoc test 4, 0.7-7.2, respectively; P < 0.02). Data were confirmed in the group of patients with CH (ADX vs. PCC: n = 13, events = 3, mean ± SD 91.55 ± 18.6 vs. 78, 21, 108.91 ± 20.9, respectively; ANOVA variance 10,091, F = 261; P < 0.001; posthoc difference test 36, 95% confidence interval: 30-41; P < 0.001; IDA vs. PCC: 10, 2, 4.50 ± 2.5 vs. 78, 21, 108.91 ± 20.9, respectively; ANOVA 16,876,303, respectively; P < 0.001; posthoc test 41, 34-47, respectively; P < 0.001). On-label PCC combined with Vit-K showed an overall slight statistically significant difference compared with off-label Vit-K alone (P < 0.01 and P < 0.001 in the subgroups of CH and GI bleeding). CONCLUSIONS: Patients undergoing specific reversal therapy with on-label ADX or IDA, when treated with aFXa or aFII anticoagulants, respectively, showed statistically elevated differences in 30-day death compared with off-label repletion therapy with PCC. Overall, 30-day survival of patients on ongoing aFXa or aFII receiving on-label reversal therapy with ADX or IDA compared with off-label PCC repletion agents showed an increase of 71% and 30%, respectively.

Low HDL cholesterol and the eNOS Glu298Asp polymorphism are associated with inducible myocardial ischemia in patients with suspected stable coronary artery disease.

BACKGROUND: The endothelial nitric oxide synthase (eNOS) gene deficiency is known to cause impaired coronary vasodilating capability in animal models. In the general clinical population, the eNOS gene polymorphisms, able to affect eNOS activity, were associated with cardiometabolic risk features and prevalence of coronary artery disease (CAD). AIM: To investigate the association of eNOS Glu298Asp gene polymorphism, cardiometabolic profile, obstructive CAD and inducible myocardial ischemia in patients with suspected stable CAD. METHODS: A total of 506 patients (314 males; mean age 62 ± 9 years) referred for suspected CAD was enrolled. Among these, 325 patients underwent stress ECG or cardiac imaging to assess the presence of inducible myocardial ischemia and 436 patients underwent non-invasive computerized tomography or invasive coronary angiography to assess the presence of obstructive CAD. Clinical characteristics and blood samples were collected for each patient. RESULTS: In the whole population, 49.6% of patients were homozygous for the Glu298 genotype (Glu/Glu), 40.9% heterozygotes (Glu/Asp) and 9.5% homozygous for the 298Asp genotype (Asp/Asp). Obstructive CAD was documented in 178/436 (40.8%) patients undergoing coronary angiography while myocardial ischemia in 160/325 (49.2%) patients undergoing stress testing. Patients with eNOS Asp genotype (Glu/Asp + Asp/Asp) had no significant differences in clinical risk factors and in circulating markers. Independent predictors of obstructive CAD were age, gender, obesity, and low HDL-C. Independent predictors of myocardial ischemia were gender, obesity, low HDL-C and Asp genotype. In the subpopulation in which both stress tests and coronary angiography were performed, the Asp genotype remained associated with increased myocardial ischemia risk after adjustment for obstructive CAD. CONCLUSION: In this population, low-HDL cholesterol was the only cardiometabolic risk determinant of obstructive CAD. The eNOS Glu298Asp gene polymorphism was significantly associated with inducible myocardial ischemia independently of other risk factors and presence of obstructive CAD.

Multi-centric study for development and validation of a CT head rule for mild traumatic brain injury in direct oral anticoagulants: the HERO-M nomogram.

BACKGROUND: Nomograms are easy-to-handle clinical tools which can help in estimating the risk of adverse outcome in certain population. This multi-center study aims to create and validate a simple and usable clinical prediction nomogram for individual risk of post-traumatic Intracranial Hemorrhage (ICH) after Mild Traumatic Brain Injury (MTBI) in patients treated with Direct Oral Anticoagulants (DOACs). METHODS: From January 1, 2016 to December 31, 2019, all patients on DOACs evaluated for an MTBI in five Italian Emergency Departments were enrolled. A training set to develop the nomogram and a test set for validation were identified. The predictive ability of the nomogram was assessed using AUROC, calibration plot, and decision curve analysis. RESULTS: Of the 1425 patients in DOACs in the study cohort, 934 (65.5%) were included in the training set and 491 (34.5%) in the test set. Overall, the rate of post-traumatic ICH was 6.9% (7.0% training and 6.9% test set). In a multivariate analysis, major trauma dynamic (OR: 2.73, p = 0.016), post-traumatic loss of consciousness (OR: 3.78, p = 0.001), post-traumatic amnesia (OR: 4.15, p < 0.001), GCS < 15 (OR: 3.00, p < 0.001), visible trauma above the clavicles (OR: 3. 44, p < 0.001), a post-traumatic headache (OR: 2.71, p = 0.032), a previous history of neurosurgery (OR: 7.40, p < 0.001), and post-traumatic vomiting (OR: 3.94, p = 0.008) were independent risk factors for ICH. The nomogram demonstrated a good ability to predict the risk of ICH (AUROC: 0.803; CI95% 0.721-0.884), and its clinical application showed a net clinical benefit always superior to performing CT on all patients. CONCLUSION: The Hemorrhage Estimate Risk in Oral anticoagulation for Mild head trauma (HERO-M) nomogram was able to predict post-traumatic ICH and can be easily applied in the Emergency Department (ED).

Arterial lactate as a risk factor for death in respiratory failure related to coronavirus disease 2019: an observational study.

BACKGROUND: Arterial lactate is a recognized biomarker associated with death in critically ill patients. The prognostic role of arterial lactate in acute respiratory failure due to the novel coronavirus disease 2019 (COVID-19) is unclear. OBJECTIVES: We aimed to investigate the prognostic role of arterial lactate levels at admission in patients with COVID-19-related acute respiratory failure. DESIGN AND METHODS: Cohorts of consecutive patients admitted to nonintensive care units (ICU) at study centers for COVID-19-related respiratory failure were merged into a collaborative database. The prognostic role of lactate levels at admission was assessed for continuous values and values ⩾2.0 mmol/l, and lactate clearance at 24 h through delta-lactate (ΔLac). The study outcome was 30-day in-hospital death. Cox proportional regression model was used to assess independent predictors of the study outcome. RESULTS: At admission, 14.6% of patients had lactate levels ⩾2 mmol/l. In-hospital death at 30 days occurred in 57 out of 206 patients; 22.3% and 56.7% with normal or ⩾ 2 mmol/l lactate at admission, respectively. The median lactate level was 1.0 [interquartile range (IQR) 0.8-1.3] mmol/l and 1.3 (IQR 1.0-2.1) mmol/l in survivors and nonsurvivors, respectively (p-value < 0.001). After adjusting for age, relevant comorbidities, acidemia, and the severity of respiratory failure, lactate ⩾2.0 mmol/l was associated with in-hospital death (HR 2.53, 95% CI 1.29-4.95, p-value 0.0066), while Δ Lac ⩾0 was not (HR 1.37, 95% CI 0.42-4.49). These results were confirmed in patients with a pO2/FiO2-ratio (P/F ratio) ⩽300 mmHg. CONCLUSIONS: In our study, increased arterial lactate at admission was independently associated with in-hospital death at 30 days in non-ICU patients with acute respiratory failure related to COVID-19.

The role of prone positioning in patients with SARS-CoV-2-related respiratory failure in non-intensive care unit.

BACKGROUND: Prone positioning (PP) is an established and commonly used lung recruitment method for intubated patients with severe acute respiratory distress syndrome, with potential benefits in clinical outcome. The role of PP outside the intensive care unit (ICU) setting is debated. OBJECTIVES: We aimed at assessing the role of PP in death and ICU admission in non-intubated patients with acute respiratory failure related to COronaVIrus Disease-19 (COVID-19) pneumonia. DESIGN: This is a retrospective analysis of a collaborative multicenter database obtained by merging local non-interventional cohorts. METHODS: Consecutive adult patients with COVID-19-related respiratory failure were included in a collaborative cohort and classified based on the severity of respiratory failure according to the partial arterial oxygen pressure to fraction of inspired oxygen ratio (PaO2/FiO2) and on clinical severity by the quick Sequential Organ Failure Assessment (qSOFA) score. The primary study outcome was the composite of in-hospital death or ICU admission within 30 days from hospitalization. RESULTS: PP was used in 114 of 536 study patients (21.8%), more commonly in patients with lower PaO2/FiO2 or receiving non-invasive ventilation and less commonly in patients with known comorbidities. A primary study outcome event occurred in 163 patients (30.4%) and in-hospital death in 129 (24.1%). PP was not associated with death or ICU admission (HR 1.17, 95% CI 0.78-1.74) and not with death (HR 1.01, 95% CI 0.61-1.67) at multivariable analysis; PP was an independent predictor of ICU admission (HR 2.64, 95% CI 1.53-4.40). The lack of association between PP and death or ICU admission was confirmed at propensity score-matching analysis. CONCLUSION: PP is used in a non-negligible proportion of non-intubated patients with COVID-19-related severe respiratory failure and is not associated with death but with ICU admission. The role of PP in this setting merits further evaluation in randomized studies.

Minimal is not minor also in patients with mild traumatic brain injury on oral direct anticoagulant therapy.

Currently, all patients, regardless of the type of head injury, should undergo a head computerized tomography (CT) if on oral anticoagulant therapy. The aim of the study was to assess the different incidences of intracranial hemorrhage (ICH) between patients with minor head injury (mHI) and patients with mild traumatic brain injury (MTBI) and whether there were differences in the risk of death at 30 days as a result of trauma or neurosurgery. A retrospective multicenter observational study was conducted from January 1, 2016, to February 1, 2020. All patients on DOACs therapy who suffered head trauma and underwent a head CT were extracted from the computerized databases. Patients were divided into two groups MTBI vs mHI all in DOACs treatment. Whether a difference in the incidence of post-traumatic ICH was present was investigated, and pre- and post-traumatic risk factors were compared between the two groups to assess the possible association with ICH risk by propensity score matching. 1425 with an MTBI in DOACs were enrolled. Of these, 80.1% (1141/1425) had an mHI and 19.9% (284/1425) had an MTBI. Of these, 16.5% (47/284) patients with MTBI and 3.3% (38/1141) with mHI reported post-traumatic ICH. After propensity score matching, ICH was consistently found to be more associated with patients with MTBI than with mHI (12.5% vs 5.4%, p = 0.027). Risk factors associated with immediate ICH in mHI patients were high energy impact, previous neurosurgery, trauma above the clavicles, post-traumatic vomiting and headache. Patients on MTBI (5.4%) were found to be more associated with ICH than those with mHI (0.0%, p = 0.002). also when the need for neurosurgery or death within 30 days were considered. Patients on DOACs with mHI have a lower risk of presenting with post-traumatic ICH than patients with MTBI. Furthermore, patients with mHI have a lower risk of death or neurosurgery than patients with MTBI, despite the presence of ICH.

Prognostic Role of Sonographic Decongestion in Patients with Acute Heart Failure with Reduced and Preserved Ejection Fraction: A Multicentre Study.

BACKGROUND: We investigated the role of the dynamic changes of pulmonary congestion, as assessed by sonographic B-lines, as a tool to stratify prognosis in patients admitted for acute heart failure with reduced and preserved ejection fraction (HFrEF, HFpEF). METHODS: In this multicenter, prospective study, lung ultrasound was performed at admission and before discharge by trained investigators, blinded to clinical findings. RESULTS: We enrolled 208 consecutive patients (mean age 76 [95% confidence interval, 70-84] years), 125 with HFrEF, 83 with HFpEF (mean ejection fraction 32% and 57%, respectively). The primary composite endpoint of cardiovascular death or HF re-hospitalization occurred in 18% of patients within 6 months. In the overall population, independent predictors of the occurrence of the primary endpoint were the number of B-lines at discharge, NT-proBNP levels, moderate-to-severe mitral regurgitation, and inferior vena cava diameter on admission. B-lines at discharge were the only independent predictor in both HFrEF and HFpEF subgroups. A cut-off of B-lines > 15 at discharge displayed the highest accuracy in predicting the primary endpoint (AUC = 0.80, p < 0.0001). Halving B-lines during hospitalization further improved event classification (continuous net reclassification improvement = 22.8%, p = 0.04). CONCLUSIONS: The presence of residual subclinical sonographic pulmonary congestion at discharge predicts 6-month clinical outcomes across the whole spectrum of acute HF patients, independent of conventional biohumoral and echocardiographic parameters. Achieving effective pulmonary decongestion during hospitalization is associated with better outcomes.

Acute-phase response following one-stage full-mouth versus quadrant non-surgical periodontal treatment in subjects with comorbid type 2 diabetes: A randomized clinical trial.

AIM: To compare the level of inflammatory markers and endothelial function 24 h (Day 1) and 90 days (Day 90) after conventional quadrant-wise scaling and root planing (Q-SRP) versus one-stage full-mouth SRP (FM-SRP) in patients affected by type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: Patients affected by periodontitis and T2DM were randomly allocated to receive FM-SRP or Q-SRP and followed up at Day 1 and Day 90. Serum samples, vital signs, and flow-mediated dilation (FMD) parameters were collected at baseline, Day 1, and Day 90. Periodontal variables were collected at baseline and Day 90. The primary outcome was the C-reactive protein (CRP) concentration at Day 1 after periodontal treatment. Student's t-test for independent samples was used for between-group comparisons (Mann-Whitney U test for non-normal data), while analysis of variance with post hoc Tukey tests (Kruskal-Wallis and Dunn tests for non-normal data) were used for intra-group comparisons. RESULTS: Forty subjects were included in the study. FM-SRP produced a significant increase in CRP and a significant reduction in FMD at Day 1 compared to Q-SRP (p < .05). The absolute change in HbA1c (mmol/mol) from baseline to Day 90 was significantly improved in the Q-SRP (ΔHbA1c = -1.59 [SD = 1.20]) compared to the FM-SRP group (ΔHbA1c = -0.8 [SD = 0.95]) (p = .04). CONCLUSIONS: FM-SRP triggers a robust acute-phase response at 24 h after treatment compared to Q-SRP. Such systemic acute perturbations may offset the beneficial systemic effects of periodontal treatment in terms of HbA1c reduction and improvement in endothelial function in T2DM subjects.

Long-term lung ultrasound follow-up in patients after COVID-19 pneumonia hospitalization: A prospective comparative study with chest computed tomography.

During COVID-19 pandemic, lung ultrasound (LUS) proved to be of great value in the diagnosis and monitoring of patients with pneumonia. However, limited data exist regarding its use to assess aeration changes during follow-up (FU). Our study aims to prospectively evaluate 232 subjects who underwent a 3-month-FU program after hospitalization for COVID-19 at the University Hospital of Pisa. The goals were to assess the usefulness of standardized LUS compared with the gold standard chest computed tomography (CT) to evaluate aeration changes and to verify LUS and CT agreement at FU. Patients underwent in the same day a standardized 16-areas LUS and high-resolution chest CT reported by expert radiologists, assigning interpretative codes. Based on observations distribution, LUS score cut-offs of 3 and 7 were selected, corresponding to the 50th and 75th percentile, respectively. Patients with LUS scores above both these thresholds were older and with longer hospital stay. Patients with a LUS score ≥3 had more comorbidities. LUS and chest CT showed a high agreement in identifying residual pathological findings, using both cut-off scores of 3 (OR 14,7; CL 3,6-64,5, Sensitivity 91%, Specificity 49%) and 7 (OR 5,8; CL 2,3-14,3, Sensitivity 65%, Specificity 79%). Our data suggest that LUS is very sensitive in identifying pathological findings at FU after a hospitalization for COVID-19 pneumonia, compared to CT. Given its low cost and safety, LUS could replace CT in selected cases, such as in contexts with limited resources or it could be used as a gate-keeper examination before more advanced techniques.

Ventricular-Arterial Coupling Derived From Proximal Aortic Stiffness and Aerobic Capacity Across the Heart Failure Spectrum.

BACKGROUND: Ventricular-arterial coupling (VAC) can be evaluated as the ratio between arterial stiffness (pulsed wave velocity [PWV]) and myocardial deformation (global longitudinal strain [GLS]). OBJECTIVES: This study aimed to evaluate VAC across the spectrum of heart failure (HF). METHODS: The authors introduced a Doppler-derived, single-beat technique to estimate aortic arch PWV (aa-PWV) in addition to tonometry-derived carotid-femoral PWV (cf-PWV). They measured PWVs and GLS in 155 healthy controls, 75 subjects at risk of developing HF (American College of Cardiology/American Heart Association stage A-B) and 236 patients in stage C heart failure with preserved ejection fraction (HFpEF) (n = 104) or heart failure with reduced ejection fraction (HFrEF) (n = 132). They evaluated peak oxygen consumption and peripheral extraction using combined cardiopulmonary-echocardiography exercise stress. RESULTS: aa-PWV was obtainable in all subjects and significantly lower than cf-PWV in all subgroups (P < 0.01). PWVs were directly related and increased with age (all P < 0.0001). cf-PWV/GLS was similarly compromised in HFrEF (1.09 ± 0.35) and HFpEF (1.05 ± 0.21), whereas aa-PWV/GLS was more impaired in HFpEF (0.70 ± 0.10) than HFrEF (0.61 ± 0.14; P < 0.01). Stage A-B had values of cf-PWV/GLS and aa-PWV/GLS (0.67 ± 0.27 and 0.48 ± 0.14, respectively) higher than controls (0.46 ± 0.11 and 0.39 ± 0.10, respectively) but lower than stage C (all P < 0.01). Peak arteriovenous oxygen difference (AVO2diff) was inversely related with cf-PWV/GLS and aa-PWV/GLS (all P < 0.01). Although cf-PWV/GLS and aa-PWV/GLS independently predicted peak VO2 in the overall population (adjusted R2 = 0.33 and R2= 0.36; all P < 0.0001), only aa-PWV/GLS was independently associated with flow reserve during exercise (R2 = 0.52; P < 0.0001). CONCLUSIONS: Abnormal VAC is directly correlated with greater severity of HF and worse functional capacity. HFpEF shows a worse VAC than HFrEF when expressed by aa-PWV/GLS.

Clinical prediction models in hospitalized patients with COVID-19: A multicenter cohort study.

BACKGROUND: Clinical spectrum of novel coronavirus disease (COVID-19) ranges from asymptomatic infection to severe respiratory failure that may result in death. We aimed at validating and potentially improve existing clinical models to predict prognosis in hospitalized patients with acute COVID-19. METHODS: Consecutive patients with acute confirmed COVID-19 pneumonia hospitalized at 5 Italian non-intensive care unit centers during the 2020 outbreak were included in the study. Twelve validated prognostic scores for pneumonia and/or sepsis and specific COVID-19 scores were calculated for each study patient and their accuracy was compared in predicting in-hospital death at 30 days and the composite of death and orotracheal intubation. RESULTS: During hospital stay, 302 of 1044 included patients presented critical illness (28.9%), and 226 died (21.6%). Nine out of 34 items included in different prognostic scores were independent predictors of all-cause-death. The discrimination was acceptable for the majority of scores (APACHE II, COVID-GRAM, REMS, CURB-65, NEWS II, ROX-index, 4C, SOFA) to predict in-hospital death at 30 days and poor for the rest. A high negative predictive value was observed for REMS (100.0%) and 4C (98.7%) scores; the positive predictive value was poor overall, ROX-index having the best value (75.0%). CONCLUSIONS: Despite the growing interest in prognostic models, their performance in patients with COVID-19 is modest. The 4C, REMS and ROX-index may have a role to select high and low risk patients at admission. However, simple predictors as age and PaO2/FiO2 ratio can also be useful as standalone predictors to inform decision making.

A causal learning framework for the analysis and interpretation of COVID-19 clinical data.

We present a workflow for clinical data analysis that relies on Bayesian Structure Learning (BSL), an unsupervised learning approach, robust to noise and biases, that allows to incorporate prior medical knowledge into the learning process and that provides explainable results in the form of a graph showing the causal connections among the analyzed features. The workflow consists in a multi-step approach that goes from identifying the main causes of patient's outcome through BSL, to the realization of a tool suitable for clinical practice, based on a Binary Decision Tree (BDT), to recognize patients at high-risk with information available already at hospital admission time. We evaluate our approach on a feature-rich dataset of Coronavirus disease (COVID-19), showing that the proposed framework provides a schematic overview of the multi-factorial processes that jointly contribute to the outcome. We compare our findings with current literature on COVID-19, showing that this approach allows to re-discover established cause-effect relationships about the disease. Further, our approach yields to a highly interpretable tool correctly predicting the outcome of 85% of subjects based exclusively on 3 features: age, a previous history of chronic obstructive pulmonary disease and the PaO2/FiO2 ratio at the time of arrival to the hospital. The inclusion of additional information from 4 routine blood tests (Creatinine, Glucose, pO2 and Sodium) increases predictive accuracy to 94.5%.