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.

Hormonal deficiencies in heart failure with preserved ejection fraction: prevalence and impact on diastolic dysfunction: a pilot study.

OBJECTIVE: In heart failure with reduced ejection fraction, catabolic mechanisms have a strong negative impact on mortality and morbidity. The relationship between anabolic hormonal deficiency, thyroid function, and heart failure with preserved ejection fraction (HFpEF) has still been poorly investigated. Therefore, we aimed to define the multi-hormonal deficiency prevalence in HFpEF patients and the relationships between hormonal deficiency and echocardiographic indexes. PATIENTS AND METHODS: Plasma levels of N-terminal pro-brain natriuretic peptide, fasting glucose, thyroid-stimulating hormone, free triiodothyronine (T3), free thyroxine, insulin-like growth factor-1, dehydroepiandrosterone-sulfate (DHEA-S), total testosterone (only in male subjects) in 40 patients with HFpEF were evaluated. An echocardiographic evaluation was performed. RESULTS: One (2.5%) patient (2.5%) had no hormonal deficiencies; 8 (20%) patients had deficits of one hormone, 18 patients (45%) of two axes, 12 patients (30%) of three axes, and one patient (2.5%) of all four axes. Among them, 97.5% had DHEA-S deficiency, 67.5% IGF-1 deficiency, 37% testosterone deficiency, 22.5% a "Low T3 syndrome", and 20% subclinical hypothyroidism. Patients with IGF-1 deficit showed higher left atrial volume values, systolic pulmonary artery pressure (SPAP), tricuspid peak velocity (TPV), and lower tricuspid annular plane systolic excursion (TAPSE) and TAPSE/SPAP ratio values. Patients with testosterone deficiency had higher SPAP and TPV. Patients with low T3 syndrome had higher value of right ventricular mid cavity diameter. Hormonal dysfunction was independent from the presence of comorbidities and no difference between male and female subjects was noted. CONCLUSIONS: Multi-hormonal deficiencies are associated with right ventricular dysfunction and diastolic dysfunction in patients with HFpEF.

Anthracycline and trastuzumab-induced cardiotoxicity in breast cancer.

OBJECTIVE: Breast cancer is the most common cancer among women. In the last twenty years early diagnosis, neoadjuvant and adjuvant systemic treatment that targeted to specific molecular targets have significantly reduced the mortality from breast cancer. However, the increase in survival has allowed to observe the cardiotoxic effects of anticancer therapy and increased mortality from cardiovascular causes, resulting in a large literature where experts try to identify the correct management of this critical problem. Even thought the increased attention in this field, many questions have not yet answers and new studies are needed. MATERIALS AND METHODS: We conducted a broad search of the English-language literature in Medline using the following search terms: cardiotoxicity, anthracyclines, trastuzumab, breast cancer, left ventricular dysfunction, heart failure. A manual examination of the articles found has been performed. RESULTS: We provide a comprehensive assessment of the current knowledge about cardiotoxicity induced by anthracycline plus trastuzumab in women affected by breast cancer. CONCLUSIONS: Early identification and prompt treatment of subclinical cardiotoxicity may improve cardiologic prognosis of these patients and may allow oncologists to avoid withdrawal of chemotherapy. That is why it becomes always more important the creation of multidisciplinary teams where cardiologists and oncologists work together to ensure optimal care to oncologic patients treated with cardiotoxic agents.