
| 10.26355/eurrev_202007_22291
http://scihub22266oqcxt.onion/10.26355/eurrev_202007_22291
 32744714!�!32744714
Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32744714&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
|  
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32744714.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117
Eur+Rev+Med+Pharmacol+Sci 2020 ; 24 (14): 7861-7868 Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
|
Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy #MMPMID32744714De Vito A; Geremia N; Fiore V; Princic E; Babudieri S; Madeddu GEur Rev Med Pharmacol Sci 2020[Jul]; 24 (14): 7861-7868 PMID32744714show ga
OBJECTIVE: Since December 2019, when the first SARS-CoV2 infections have been reported, the number of cases has increased exponentially. In our University Hospital Unit, the first patient with COVID-19 was admitted on the 8th of March 2020. We aimed to investigate the predictors of death among inpatients with COVID-19. MATERIALS AND METHODS: We performed a retrospective, monocentric study, consecutively enrolling patients with SARS-CoV2 infection. Clinical, laboratory, and radiological data were collected from the 8th of March to the 8th of April 2020. We aimed to describe the most frequent clinical and laboratory features and predictors of death among patients admitted to our Unit. RESULTS: 87 patients were enrolled, 56 (64.4%) were male, with a median age of 72 (IQR 62.5-83.5) years. The majority of our population had at least one comorbidity in their medical anamnesis. Hypertension and cardiovascular disease were the most frequent, followed by obesity. Eighty (92%) patients had at least one symptom, whereas 7 (8%) were asymptomatic. The most common symptoms were fever and dyspnoea. Overall, 53 patients had lung disease confirmed at CT scan (60.9%). Twenty-five (28.7%) deaths occurred. Statistically significant predictors of death at multivariate analysis were lymphocytes count <900 cells/mm3, moderate ARDS, and lack of compliance at baseline. CONCLUSIONS: This is the first Italian experience available. Our results seem to be in line with international literature. As highlighted by our data, more studies are needed to investigate the role of lymphocytes subsets, CT scan values. Furthermore, therapy choice and timing in this challenging setting should be urgently investigated in randomized clinical trials.|Aged[MESH]|Aged, 80 and over[MESH]|Betacoronavirus/isolation & purification[MESH]|COVID-19[MESH]|Comorbidity[MESH]|Coronavirus Infections/complications/mortality/*pathology/virology[MESH]|Female[MESH]|Hospitalization/statistics & numerical data[MESH]|Humans[MESH]|Italy[MESH]|Kaplan-Meier Estimate[MESH]|Lymphocyte Count[MESH]|Male[MESH]|Middle Aged[MESH]|Pandemics[MESH]|Pneumonia, Viral/complications/mortality/*pathology/virology[MESH]|Proportional Hazards Models[MESH]|Pulmonary Disease, Chronic Obstructive/complications[MESH]|Retrospective Studies[MESH]|Risk Factors[MESH]
  
DeepDyve Pubget Overpricing | 
|