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10.1111/aas.13785 http://scihub22266oqcxt.onion/10.1111/aas.13785 33501998!8014826!33501998     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Acta+Anaesthesiol+Scand 2021 ; 65 (5): 618-628 Nephropedia Template TP {{tp|p=33501998|t=2021. Characteristics, management and survival of ICU patients with coronavirus disease-19 in Norway, March-June 2020 A prospective observational study |pdf=|usr=}}{{33501998}} gab.com Text Characteristics, management and survival of ICU patients with coronavirus disease-19 in Norway, March-June 2020 A prospective observational study JO: Acta Anaesthesiol Scand http://www.kidney.de/pget.php?&tw=1&pmid=33501998 #FOAvip BACKGROUND: Norwegian hospitals have operated within capacity during the COVID-19 pandemic. We present patient and management characteristics, and outcomes for the entire cohort of adult (>18 years) COVID-19 patients admitted to Norwegian intensive care units (ICU) from 10 March to 19 June 2020. METHODS: Data were collected from The Norwegian intensive care and pandemic registry (NIPaR). Demographics, co-morbidities, management characteristics and outcomes are described. ICU length of stay (LOS) was analysed with linear regression, and associations between risk factors and mortality were quantified using Cox regression. RESULTS: In total, 217 patients were included. The male to female ratio was 3:1 and the median age was 63 years. A majority (70%) had one or more co-morbidities, most frequently cardiovascular disease (39%), chronic lung disease (22%), diabetes mellitus (20%), and obesity (17%). Most patients were admitted for acute hypoxaemic respiratory failure (AHRF) (91%) and invasive mechanical ventilation (MV) was used in 86%, prone ventilation in 38% and 25% of patients received a tracheostomy. Vasoactive drugs were used in 79% and renal replacement therapy in 15%. Median ICU LOS and time of MV was 14.0 and 12.0 days. At end of follow-up 45 patients (21%) were dead. Age, co-morbidities and severity of illness at admission were predictive of death. Severity of AHRF and male gender were associated with LOS. CONCLUSIONS: In this national cohort of COVID-19 patients, mortality was low and attributable to known risk factors. Importantly, prolonged length-of-stay must be taken into account when planning for resource allocation for any next surge. Twit Text FOAVip Characteristics, management and survival of ICU patients with coronavirus disease-19 in Norway, March-June 2020 A prospective observational study ????Acta Anaesthesiol Scand http://www.kidney.de/pget.php?&tw=1&pmid=33501998 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33501998 #FOAvip English Wikipedia <ref>{{Cite pmid|33501998}}</ref> Characteristics, management and survival of ICU patients with coronavirus disease-19 in Norway, March-June 2020 A prospective observational study #MMPMID33501998 Laake JH; Buanes EA; Smastuen MC; Kvale R; Olsen BF; Rustoen T; Strand K; Sorensen V; Hofso K Acta Anaesthesiol Scand 2021[May]; 65 (5): 618-628 PMID33501998show ga BACKGROUND: Norwegian hospitals have operated within capacity during the COVID-19 pandemic. We present patient and management characteristics, and outcomes for the entire cohort of adult (>18 years) COVID-19 patients admitted to Norwegian intensive care units (ICU) from 10 March to 19 June 2020. METHODS: Data were collected from The Norwegian intensive care and pandemic registry (NIPaR). Demographics, co-morbidities, management characteristics and outcomes are described. ICU length of stay (LOS) was analysed with linear regression, and associations between risk factors and mortality were quantified using Cox regression. RESULTS: In total, 217 patients were included. The male to female ratio was 3:1 and the median age was 63 years. A majority (70%) had one or more co-morbidities, most frequently cardiovascular disease (39%), chronic lung disease (22%), diabetes mellitus (20%), and obesity (17%). Most patients were admitted for acute hypoxaemic respiratory failure (AHRF) (91%) and invasive mechanical ventilation (MV) was used in 86%, prone ventilation in 38% and 25% of patients received a tracheostomy. Vasoactive drugs were used in 79% and renal replacement therapy in 15%. Median ICU LOS and time of MV was 14.0 and 12.0 days. At end of follow-up 45 patients (21%) were dead. Age, co-morbidities and severity of illness at admission were predictive of death. Severity of AHRF and male gender were associated with LOS. CONCLUSIONS: In this national cohort of COVID-19 patients, mortality was low and attributable to known risk factors. Importantly, prolonged length-of-stay must be taken into account when planning for resource allocation for any next surge. |*SARS-CoV-2[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/epidemiology/mortality/*therapy[MESH] |Female[MESH] |Health Resources[MESH] |Humans[MESH] |Intensive Care Units[MESH] |Length of Stay[MESH] |Male[MESH] |Middle Aged[MESH] |Norway/epidemiology[MESH] |Prospective Studies[MESH]Characteristics, management and survival of ICU patients with coronavi(epmc).pdf DeepDyve Pubget Overpricing