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 co-morbidities 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, co-morbidities, 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 fre-quently 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.(c) 2023 The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/li-censes/by-nc-nd/4.0/).

Abdominal obesity phenotype predicts covid-19 chest x-ray severity score better than general obesity

Introduction: Chest x-ray (CXR) severity score and obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score is not fully explored. Methods: This retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19. Results: Patients with abdominal obesity had significantly higher CXR severity scores (Figure 1A) and higher rates of these scores than those without abdominal obesity (P<0.001;P=0.001, respectively) while there were no significant differences between BMI classes (P=0.104;P=0.271, respectively) (Figure 1B). Waist circumference and waist-to-height ratio correlated more closely with CXR severity score than BMI (r=0.43, P<0.001;r=0.41, P<0.001;r=0.17, P=0.012, respectively). The AUCs for waist circumference and WHtR were significantly higher than those for BMI for distinguishing a high CXR severity score (≥8) (0.68 [0.60-0.75] and 0.67 [0.60-0.74] vs 0.58 [0.51-0.66], P=0.001) (Figure 2). Multivariable analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25-2.45, P<0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07-2.81, P=0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94-0.97, P<0.001) as the only independent predictors of a high CXR severity score. Conclusion: Abdominal obesity might predict a high CXR severity score better than general obesity in hospitalized patients with COVID-19. Therefore, in hospital clinical practice waist circumference should be assessed and patients with abdominal obesity should be monitored closely.