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.

Mutual Effect Modification between Insulin Resistance and Endothelial Dysfunction in Predicting Incident Heart Failure in Hypertensives.

Insulin resistance and endothelial dysfunction are associated with heart failure (HF). Our objective was to investigate whether endothelial dysfunction and insulin resistance are independent predictors of incident HF and if a possible interaction exists between them. We enrolled 705 white never-treated hypertensives. Endothelium-dependent vasodilation was investigated by intra-arterial infusion of acetylcholine. During the follow-up [median: 117 months (range: 31-211)], we documented 223 new cases of HF (3.3 events/100 patient-years). We stratified the study population into progressors and non-progressors; progressors showed an older age and a higher prevalence of females, as well as higher mean values of baseline glucose, insulin, homeostasis model assessment (HOMA), creatinine, and high-sensitivity C-reactive protein (hs-CRP), whereas the estimated glomerular filtration rate (e-GFR) and endothelium-dependent vasodilation were lower. In the multiple Cox regression analysis, serum hs-CRP (HR = 1.362, (95% CI = 1.208-1.536), HOMA (HR = 1.293, 95% CI = 1.142-1.465), maximal acetylcholine (Ach)-stimulated forearm blood flow (FBF) (100% increment, HR = 0.807, 95% CI = 0.697-0.934), and e-GFR (10 mL/min/1.73 m2 increment, HR = 0.552, 95% CI = 0.483-0.603) maintained an independent association with incident HF. HOMA and endothelial dysfunction interact between them in a competitive manner (HR = 6.548, 95% CI = 4.034-10.629), also showing a mutual effect modification. Our findings demonstrate that both endothelial dysfunction and HOMA are independent and strong predictors of incident HF in hypertensives, these two risk factors interact between them with a competitive mechanism.

Fecal microbiota transplantation in gastrointestinal and extraintestinal disorders.

Fecal microbiota transplantation (FMT) is the infusion of feces from a healthy donor into the gut of a recipient to treat a dysbiosis-related disease. FMT has been proven to be a safe and effective treatment for Clostridioides difficile infection, but increasing evidence supports the role of FMT in other gastrointestinal and extraintestinal diseases. The aim of this review is to paint the landscape of current evidence of FMT in different fields of application (including irritable bowel syndrome, inflammatory bowel disease, liver disorders, decolonization of multidrug-resistant bacteria, metabolic disorders and neurological disorders), as well as to discuss the current regulatory scenario of FMT, and hypothesize future directions of FMT.