RESUMEN
This report describes the isolation, molecular characterization, and phylogenetic analysis of the first three complete genomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) isolated from three patients involved in the first outbreak of COVID-19 in Lombardy, Italy. Early molecular epidemiological tracing suggests that SARS-CoV-2 was present in Italy weeks before the first reported cases of infection.
Asunto(s)
COVID-19/epidemiología , COVID-19/virología , Genoma Viral , Genómica , Filogenia , SARS-CoV-2/clasificación , SARS-CoV-2/genética , Biología Computacional/métodos , Genómica/métodos , Humanos , Italia/epidemiología , Análisis de RegresiónRESUMEN
Italy was the first European country hit by the COVID-19 pandemic and has the highest number of recorded COVID-19 deaths in Europe. This prospective cohort study of the correlates of the risk of death in COVID-19 patients was conducted at the Infectious Diseases and Intensive Care units of Luigi Sacco Hospital, Milan, Italy. The clinical characteristics of all the COVID-19 patients hospitalised in the early days of the epidemic (21 February -19 March 2020) were recorded upon admission, and the time-dependent probability of death was evaluated using the Kaplan-Meier method (censored as of 20 April 2020). Cox proportional hazard models were used to assess the factors independently associated with the risk of death. Forty-eight (20.6 %) of the 233 patients followed up for a median of 40 days (interquartile range 33-47) died during the follow-up. Most were males (69.1 %) and their median age was 61 years (IQR 50-72). The time-dependent probability of death was 19.7 % (95 % CI 14.6-24.9 %) 30 days after hospital admission. Age (adjusted hazard ratio [aHR] 2.08, 95 % CI 1.48-2.92 per ten years more) and obesity (aHR 3.04, 95 % CI 1.42-6.49) were independently associated with an increased risk of death, which was also associated with critical disease (aHR 8.26, 95 % CI 1.41-48.29), C-reactive protein levels (aHR 1.17, 95 % CI 1.02-1.35 per 50 mg/L more) and creatinine kinase levels above 185 U/L (aHR 2.58, 95 % CI 1.37-4.87) upon admission. Case-fatality rate of patients hospitalized with COVID-19 in the early days of the Italian epidemic was about 20 %. Our study adds evidence to the notion that older age, obesity and more advanced illness are factors associated to an increased risk of death among patients hospitalized with COVID-19.
Asunto(s)
Betacoronavirus , Infecciones por Coronavirus/mortalidad , Hospitalización/estadística & datos numéricos , Neumonía Viral/mortalidad , Factores de Edad , Anciano , COVID-19 , Femenino , Humanos , Italia/epidemiología , Masculino , Persona de Mediana Edad , Pandemias , Estudios Prospectivos , Factores de Riesgo , SARS-CoV-2RESUMEN
To investigate the association between diabetes and HCV infection in persons living with HIV and to determine the impact of diabetes on the occurrence of serious liver events (SLEs) and liver-related deaths (LRDs) among HIV/HCV-co-infected patients. Patients were included if they had at least one follow-up visit. In a cross-sectional analysis among all HIV patients, we have investigated the association between diabetes and HCV infection. A further longitudinal analysis was performed in the population of HIV/HCV-co-infected free from SLE with FIB-4 index < 3.25 at baseline, using the following endpoints: (A) first event between SLE and LRD; (B) liver fibrosis progression defined as the first of two consecutive FIB-4 > 3.25; (C) first event between SLE, LRD, and liver fibrosis progression. Data from 15,571 HIV patients were analyzed: 2944 (18.9%) were HCV-Ab positive, and 739 (4.7%) presented a diagnosis of diabetes at their last follow-up. Among HIV/HCV-co-infected population, 107 patients had a diagnosis of diabetes. Viremic HCV-co-infected patients had 3-fold risk of diabetes onset than HCV-uninfected patients. On HIV/HCV-co-infected population, 85 SLEs/LRDs occurred over 20,410 person-years of follow-up (PYFU), for an incidence rate of 4.2/1000 PYFU (95%CI 3.4-5.2). Diabetic patients had 3-fold risk of pooled SLE and LRD than patients without diabetes. Furthermore, viremic HCV infection was independently associated with a higher risk of SLE/LRD (aIRR 3.35 [95%CI 1.14-9.83]). In HIV-infected patients, viremic HCV co-infection is a strong predictor of diabetes. Among HIV/HCV-co-infected population, diabetic patients showed an increased risk of SLE/LRD compared with those without diabetes.
Asunto(s)
Coinfección/complicaciones , Complicaciones de la Diabetes/epidemiología , Infecciones por VIH/complicaciones , Hepatitis C Crónica/complicaciones , Cirrosis Hepática/epidemiología , Fallo Hepático/epidemiología , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Incidencia , Cirrosis Hepática/mortalidad , Fallo Hepático/mortalidad , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Medición de Riesgo , Análisis de SupervivenciaRESUMEN
This study addressed the case of a patient with prolonged COVID-19 viral shedding, reported by Real-Time PCR, until 71 days from symptom onset. However, viral culture received negative results after 30 days from symptom onset. Therefore, viral culture may be a worthwhile test for patients requiring discharge, in particular for those presenting prolonged viral shedding.
Asunto(s)
COVID-19/virología , SARS-CoV-2/aislamiento & purificación , Esparcimiento de Virus , Anciano de 80 o más Años , Técnicas de Cultivo de Célula , Humanos , Masculino , Alta del Paciente , Reacción en Cadena en Tiempo Real de la Polimerasa , Factores de TiempoRESUMEN
Castiglione D'Adda is one of the municipalities more precociously and severely affected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) epidemic in Lombardy. With our study we aimed to understand the diffusion of the infection by mass serological screening. We searched for SARS-CoV-2 IgGs in the entire population on a voluntary basis using lateral flow immunochromatographic tests (RICT) on capillary blood (rapid tests). We then performed chemioluminescent serological assays (CLIA) and naso-pharyngeal swabs (NPS) in a randomized representative sample and in each subject with a positive rapid test. Factors associated with RICT IgG positivity were assessed by uni- and multivariate logistic regression models. Out of the 4143 participants, 918 (22·2%) showed RICT IgG positivity. In multivariable analysis, IgG positivity increases with age, with a significant non-linear effect (p = 0·0404). We found 22 positive NPSs out of the 1330 performed. Albeit relevant, the IgG prevalence is lower than expected and suggests that a large part of the population remains susceptible to the infection. The observed differences in prevalence might reflect a different infection susceptibility by age group. A limited persistence of active infections could be found after several weeks after the epidemic peak in the area.
Asunto(s)
Prueba Serológica para COVID-19/métodos , COVID-19/epidemiología , COVID-19/transmisión , Anticuerpos Antivirales/sangre , COVID-19/sangre , COVID-19/diagnóstico , Prueba Serológica para COVID-19/estadística & datos numéricos , Estudios Transversales , Femenino , Humanos , Inmunoglobulina G/sangre , Inmunoglobulina M/sangre , Italia/epidemiología , Masculino , Tamizaje Masivo/métodos , Prevalencia , SARS-CoV-2/genética , SARS-CoV-2/patogenicidadRESUMEN
BACKGROUND: Understanding the occurrence of symptoms resembling those of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a large nonhospitalized population at the peak of the epidemic in Italy is of paramount importance; however, data are currently scarce. OBJECTIVE: The aims of this study were to evaluate the association of self-reported symptoms with SARS-CoV-2 nasopharyngeal swab (NPS) test results in nonhospitalized individuals and to estimate the occurrence of symptoms associated with coronavirus disease (COVID-19) in a larger nontested population. METHODS: EPICOVID19 is a self-administered cross-sectional voluntary web-based survey of adults throughout Italy who completed an anonymous questionnaire in the period of April 13 to 21, 2020. The associations between symptoms potentially related to SARS-CoV-2 infection and NPS results were calculated as adjusted odds ratios (aORs) with 95% CIs by multiple logistic regression analysis controlling for age, sex, education, smoking habits, and number of comorbidities. Thereafter, for each symptom and for combinations of the symptoms, we calculated the sensitivity, specificity, accuracy, and areas under the curve (AUCs) in a receiver operating characteristic (ROC) analysis to estimate the occurrence of COVID-19-like infection in the nontested population. RESULTS: A total of 171,310 people responded to the survey, of whom 102,543 (59.9%) were women; mean age 47.4 years. Out of the 4785 respondents with known NPS test results, 4392 were not hospitalized. Among the 4392 nonhospitalized respondents, those with positive NPS tests (856, 19.5%) most frequently reported myalgia (527, 61.6%), olfactory and taste disorders (507, 59.2%), cough (466, 54.4%), and fever (444, 51.9%), whereas 7.7% were asymptomatic. Multiple regression analysis showed that olfactory and taste disorders (aOR 10.3, 95% CI 8.4-12.7), fever (aOR 2.5, 95% CI 2.0-3.1), myalgia (aOR 1.5, 95% CI 1.2-1.8), and cough (aOR 1.3, 95% CI 1.0-1.6) were associated with NPS positivity. Having two to four of these symptoms increased the aOR from 7.4 (95% CI 5.6-9.7) to 35.5 (95% CI 24.6-52.2). The combination of the four symptoms showed an AUC of 0.810 (95% CI 0.795-0.825) in classifying positive NPS test results and then was applied to the nonhospitalized and nontested sample (n=165,782). We found that 7739 to 20,103 of these 165,782 respondents (4.4% to 12.1%) had experienced symptoms suggestive of COVID-19 infection. CONCLUSIONS: Our results suggest that self-reported symptoms are reliable indicators of SARS-CoV-2 infection in a pandemic context. A nonnegligible number of symptomatic respondents (up to 12.1%) were undiagnosed and potentially contributed to the spread of the infection. TRIAL REGISTRATION: ClinicalTrials.gov NCT04471701; https://clinicaltrials.gov/ct2/show/NCT04471701.