The three facets of the SARS-CoV-2 pandemic during the first two waves in the northern, central, and southern Italy.

BACKGROUND: There is a scarcity of information in literature regarding the clinical differences and comorbidities of patients affected by Coronavirus disease 2019 (COVID-19), which could clarify the different prevalence of the outcomes (composite and only death) between several Italian regions. OBJECTIVE: This study aimed to assess the heterogeneity of clinical features of patients with COVID-19 upon hospital admission and disease outcomes in the northern, central, and southern Italian regions. METHODS: An observational cohort multicenter retrospective study including 1210 patients who were admitted for COVID-19 in Infectious diseases, Pulmonology, Endocrinology, Geriatrics and Internal Medicine Units in Italian cities stratified between north (263 patients); center (320 patients); and south (627 patients), during the first and second pandemic waves of SARS-CoV-2 (from February 1, 2020 to January 31, 2021). The data, obtained from clinical charts and collected in a single database, comprehended demographic characteristics, comorbidities, hospital and home pharmacological therapies, oxygen therapy, laboratory values, discharge, death and Intensive care Unit (ICU) transfer. Death or ICU transfer were defined as composite outcomes. RESULTS: Male patients were more frequent in the northern Italian region than in the central and southern regions. Diabetes mellitus, arterial hypertension, chronic pulmonary and chronic kidney diseases were the comorbidities more frequent in the southern region; cancer, heart failure, stroke and atrial fibrillation were more frequent in the central region. The prevalence of the composite outcome was recorded more frequently in the southern region. Multivariable analysis showed a direct association between the combined event and age, ischemic cardiac disease, and chronic kidney disease, in addition to the geographical area. CONCLUSIONS: Statistically significant heterogeneity was observed in patients with COVID-19 characteristics at admission and outcomes from northern to southern Italy. The higher frequency of ICU transfer and death in the southern region may depend on the wider hospital admission of frail patients for the availability of more beds since the burden of COVID-19 on the healthcare system was less intense in southern region. In any case, predictive analysis of clinical outcomes should consider that the geographical differences that may reflect clinical differences in patient characteristics, are also related to access to health-care facilities and care modalities. Overall, the present results caution against generalizability of prognostic scores in COVID-19 patients derived from hospital cohorts in different settings.

Serum Irisin Concentrations in Severely Inflamed Patients.

Irisin is a recently discovered exercise-induced myokine that has been attributed the role of favoring white-to-brown adipose tissue trans-differentiation. We confirmed in a population-based cohort that irisin serum concentrations are independently correlated with the habitual level of physical activity, but we also observed an independent correlation with serum concentrations of high-sensitivity C-reactive protein (hs-CRP), thus suggesting that inflammation may influence irisin production. In order to investigate the association between irisin and inflammation, we measured serum irisin concentrations in a group of inflamed inpatients. We hypothesized that if an association between irisin and inflammation exists, severely inflamed patients, even though physically inactive, might also exhibit high serum irisin levels. We recruited 40 consecutive markedly inflamed inpatients on the basis of serum CRP levels. Their irisin serum concentrations (Phoenix Europe, Germany) were compared with those obtained in the population-based cohort of the ABCD_2 study (Alimentazione, Benessere Cardiovascolare e Diabete) (ISRCTN15840340). The inflamed patients exhibited higher serum irisin concentrations (median: 6.77 ng/ml; 95% CI for the median: 5.97-7.23) than those observed in the ABCD cohort (median: 5.21 ng/ml; 95% CI for the median: 5.08-5.30; p <0.001). Irisin concentrations were significantly correlated with age (r=-0.44; p <0.001), creatinine (r=-0.35; p <0.05), and fibrinogen (r=0.40; p <0.05) concentrations. No association was observed between irisin, interleukine-6 and tumor necrosis factor alpha. This study confirms the association between inflammation and irisin concentrations. Further studies are needed to understand the mechanisms underlying this association and its possible clinical implications.

Association of obesity and diabetes with thyroid nodules.

AIM: There are conflicting data concerning the possibility that obesity and diabetes raise the risk of thyroid nodules. The incidence of thyroid nodules is increasing, as is that of obesity and diabetes; therefore, understanding whether these metabolic and nutritional disorders influence nodular thyroid disease is important for organizing prevention strategies. This study investigated the association between thyroid nodules, obesity, diabetes, and dietary habits. MATERIALS AND METHODS: A cohort of randomly selected adults (455 males, 746 females; age: 18-90 years) living in Palermo (Italy), a mild iodine deficiency area, was cross-sectionally investigated. Participants underwent high-resolution ultrasonographic evaluation of the thyroid, and answered a food frequency questionnaire. Laboratory blood measurements were obtained in 587 participants. RESULTS AND DISCUSSION: Thyroid nodules were detected in 475 (39.5%) participants. The number of thyroid nodules was correlated with age (r = 0.19; P < 0.001), gender (r = 0.08; P = 0.005), and body mass index (r = 0.07; P = 0.02). No significant correlation was observed between the number of nodules and glycated hemoglobin, serum insulin concentrations, and homeostasis model assessment of insulin resistance. Age-adjusted and gender-adjusted prevalence of both overweight/obesity and type 2 diabetes of each group of participants divided according to the number of nodules significantly increased with the number of nodules (P < 0.05 in both cases). The group of participants with nodules exhibited a significantly lower age-adjusted and gender-adjusted habitual intake of milk (P = 0.02). Multivariate regression analysis showed that age, gender, body mass index, diabetes, and habitual consumption of milk were independently correlated with presence of thyroid nodules. CONCLUSION: This study seems to indicate that an association exists between obesity, diabetes, and thyroid nodules.