Impact of COVID-19 pandemic on patients affected by peripheral arterial disease: an Italian single-center study.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has evolved into a global pandemic, affecting a wide range of medical and surgical specialties. During COVID-19, we assisted in the reallocation of medical resources and services, as well as social distancing measures, and many patients with chronic diseases and comorbidities may have experienced difficulties in obtaining the correct medical care. The aim of the study was to investigate the impact of the COVID-19 pandemic on major adverse cardiovascular events (MACE) and major adverse limb events (MALE) in patients with peripheral arterial disease (PAD) and chronic limb-threatening ischemia (CLTI), compared to previous years. PATIENTS AND METHODS: We evaluated 1,335 hospital admissions of 877 patients with PAD admitted to Policlinico A. Gemelli Hospital between January 2017 and February 2020 and 368 hospital admissions of 272 patients with PAD admitted to the Policlinico A. Gemelli Hospital between March 2020 and March 2021. Data on demographic characteristics, comorbidities, symptoms, physical and radiological findings, laboratory tests, and routine visits before or after discharge were collected from electronic medical records. RESULTS: Emergency room (ER) admissions among PAD patients during COVID-19 were higher than before the pandemic [190 (51.63%) vs. 579 (43.37%), p = 0.01]. A MACE was found in 78 (5.84%) pre-pandemic hospitalizations and 126 (34.24%) pandemic hospitalizations (p < 0.01). A MALE was identified in 942 (70.56%) pre-pandemic hospitalizations and 331 (89.95%) pandemic hospitalizations (p < 0.01). Amputation rates during the pandemic were higher than before the pandemic [80 (21.74%) vs. 191 (14.31%), p < 0.01]. The number of in-hospital deaths did not differ between the pandemic and pre-pandemic periods [11 (2.99%) vs. 51 (3.82%), p = 0.55]. CONCLUSIONS: In patients with PAD and CLTI, the number of MACE, MALE, and amputations was higher during the COVID-19 period compared to the three years before the pandemic.

Identification of early predictors of clinical outcomes of COVID-19 outbreak in an Italian single center using a machine-learning approach.

OBJECTIVE: SARS-CoV-2 disease (COVID-19) has become a pandemic disease, determining a public health emergency. The use of artificial intelligence in identifying easily available biomarkers capable of predicting the risk for severe disease may be helpful in guiding clinical decisions. The aim of the study was to investigate the ability of interleukin (IL)-6, troponin I, and D-dimer to identify patients with COVID-19 at risk for intensive care unit (ICU)-admission and death by using a machine-learning predictive model. PATIENTS AND METHODS: Data on demographic characteristics, underlying comorbidities, symptoms, physical and radiological findings, and laboratory tests have been retrospectively collected from electronic medical records of patients admitted to Policlinico A. Gemelli Foundation from March 1, 2020, to September 15, 2020, by using artificial intelligence techniques. RESULTS: From an initial cohort of 425 patients, 146 met the inclusion criteria and were enrolled in the study. The in-hospital mortality rate was 15%, and the ICU admission rate was 41%. Patients who died had higher troponin I (p-value<0.01) and IL-6 values (p-value=0.04), compared to those who survived. Patients admitted to ICU had higher levels of troponin I (p-value<0.01) and IL-6 (p-value<0.01), compared to those not admitted to ICU. Threshold values to predict in-hospital mortality and ICU admission have been identified. IL-6 levels higher than 15.133 ng/L have been associated with a 22.91% risk of in-hospital mortality, and IL-6 levels higher than 25.65 ng/L have been associated with a 56.16% risk of ICU admission. Troponin I levels higher than 12 ng/L have been associated with a 26.76% risk of in-hospital mortality and troponin I levels higher than 12 ng/L have been associated with a 52.11% risk of ICU admission. CONCLUSIONS: Levels of IL-6 and troponin I are associated with poor COVID-19 outcomes. Cut-off values capable of predicting in-hospital mortality and ICU admission have been identified. Building a predictive model using a machine-learning approach may be helpful in supporting clinical decisions in a more precise and personalized way.

Madelung's disease and acute alcoholic hepatitis: case report and review of literature.

Madelung's disease is a rare condition characterized by symmetric growth of fatty tumors (lipomas) around the neck, shoulders, upper arms, and trunk. It often affects men with a history of alcohol abuse. Here we report a review of the literature about this disease together with the description of a patient affected by Madelung's disease and acute alcoholic hepatitis.

Dental health in patients affected by alcohol use disorders: a cross-sectional study.

OBJECTIVE: Chronic alcohol abuse represents a risk factor for oral diseases, in particular, oral cancer. Periodontal disease has been showed to be involved in the pathophysiology of cardiovascular and metabolic diseases, such as atherosclerosis and liver steatosis. The role of chronic alcohol consumption on periodontitis is still controversial. The aim of the study was to evaluate the effect of chronic alcohol abuse on oral health. PATIENTS AND METHODS: Twenty-three alcohol use disorders (AUD) patients and twenty-three healthy social drinkers underwent an oral examination by trained oral clinicians in order to evaluate oral and dental health. A questionnaire assessing oral hygiene was administered together with the evaluation of DMFT (decayed, missing, filled teeth), SLI (Silness-Loë plaque index) and CPI (community periodontal index of treatment needs) scores. RESULTS: Alcoholic patients showed significantly lower oral hygiene scores compared to controls. Alcoholic patients showed significantly poorer scores at DMFT, SLI and CPI tests. Moreover, among alcoholics, smokers showed a significantly poorer oral health than non-smokers. CONCLUSIONS: Chronic alcohol abuse increases the risk of dental and periodontal diseases. Smoking represents a significant co-factor. The practice of basic oral hygiene and the access to professional dental care should be encouraged among AUD patients in order to reduce oral diseases.