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1.
Int J Infect Dis ; 105: 532-539, 2021 Apr.
Artículo en Inglés | MEDLINE | ID: covidwho-1116859

RESUMEN

BACKGROUND: Limited data are available about the predictors and outcomes associated with prolonged SARS-CoV-2 RNA shedding (VS). METHODS: A retrospective study including COVID-19 patients admitted to an Italian hospital between March 1 and July 1, 2020. Predictors of viral clearance (VC) and prolonged VS from the upper respiratory tract were assessed by Poisson regression and logistic regression analyses. The causal relation between VS and clinical outcomes was evaluated through an inverse probability weighted Cox model. RESULTS: The study included 536 subjects. The median duration of VS from symptoms onset was 18 days. The estimated 30-day probability of VC was 70.2%. Patients with comorbidities, lymphopenia at hospital admission, or moderate/severe respiratory disease had a lower chance of VC. The development of moderate/severe respiratory failure, delayed hospital admission after symptoms onset, baseline comorbidities, or D-dimer >1000ng/mL at admission independently predicted prolonged VS. The achievement of VC doubled the chance of clinical recovery and reduced the probability of death/mechanical ventilation. CONCLUSIONS: Respiratory disease severity, comorbidities, delayed hospital admission and inflammatory markers negatively predicted VC, which resulted to be associated with better clinical outcomes. These findings highlight the importance of prompt hospitalization of symptomatic patients, especially where signs of severity or comorbidities are present.


Asunto(s)
COVID-19/virología , ARN Viral/análisis , Sistema Respiratorio/virología , SARS-CoV-2/aislamiento & purificación , Esparcimiento de Virus , Adulto , Anciano , Estudios de Cohortes , Femenino , Humanos , Masculino , Persona de Mediana Edad , Modelos de Riesgos Proporcionales , Índice de Severidad de la Enfermedad , Factores de Tiempo
2.
Updates Surg ; 72(2): 281-289, 2020 Jun.
Artículo en Inglés | MEDLINE | ID: covidwho-526853

RESUMEN

COVID-19 is rapidly spreading worldwide. Healthcare systems are struggling to properly allocate resources while ensuring cure for diseases outside of the infection. The aim of this study was to demonstrate how surgical activity was affected by the virus outbreak and show the changes in practice in a tertiary referral COVID-19 center. The official bulletins of the Italian National Institute for the Infectious Diseases "L. Spallanzani" were reviewed to retrieve the number of daily COVID-19 patients. Records of consecutive oncological and transplant procedures performed during the outbreak were reviewed. Patients with a high probability of postoperative intensive care unit (ICU) admission were considered as high risk and defined by an ASA score ≥ III and/or a Charlson Comorbidity Index (CCI) ≥ 6 and/or a Revised Cardiac Risk Index for Preoperative Risk (RCRI) ≥ 3. 72 patients were operated, including 12 (16.6%) liver and kidney transplantations. Patients had few comorbidities (26.3%), low ASA score (1.9 ± 0.5), CCI (3.7 ± 1.3), and RCRI (1.2 ± 0.6) and had overall a low risk of postoperative ICU admission. Few patients had liver cirrhosis (12.5%) or received preoperative systemic therapy (16.6%). 36 (50%) high-risk surgical procedures were performed, including major hepatectomies, pancreaticoduodenectomies, total gastrectomies, multivisceral resections, and transplantations. Despite this, only 15 patients (20.8%) were admitted to the ICU. Only oncologic cases and transplantations were performed during the COVID-19 outbreak. Careful selection of patients allowed to perform major cancer surgeries and transplantations without further stressing hospital resources, meanwhile minimizing collateral damage to patients.


Asunto(s)
Infecciones por Coronavirus , Trasplante de Riñón/estadística & datos numéricos , Trasplante de Hígado/estadística & datos numéricos , Neoplasias/cirugía , Pandemias , Neumonía Viral , Centros de Atención Terciaria , Anciano , COVID-19 , Femenino , Humanos , Italia , Masculino , Persona de Mediana Edad , Procedimientos Quirúrgicos Operativos/estadística & datos numéricos , Factores de Tiempo
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