Variables associated to intensive care unit (ICU)-mortality among patients admitted to surgical intensive care unit in Ethiopia: a retrospective observational study

[1] Adhikari NK(2010)Critical care and the global burden of critical illness in adults The Lancet 376 1339-46

[2] Fowler RA(2020)Trauma of major surgery: a global problem that is not going away Int J Surg (London England) 81 47-54

[3] Bhagwanjee S(2008)An estimation of the global volume of surgery: a modelling strategy based on available data The Lancet 372 139-44

[4] Rubenfeld GD(2014)Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit The lancet Respiratory medicine 2 380-6

[5] Dobson GP(2020)Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach Sci Rep 10 21282-5

[6] Weiser TG(2012)Intensive care provision: a global problem Revista Brasileira de terapia intensiva 24 322-6

[7] Regenbogen SE(2014)Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit The Lancet Respiratory medicine 2 380-104

[8] Thompson KD(2021)Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: a multi-center cohort study Annals of Medicine and Surgery 65 102318-4

[9] Haynes AB(2012)Intensive care admissions and outcome at the University of Calabar Teaching Hospital, Nigeria J Crit Care 27 105e101-85

[10] Lipsitz SR(2021)Patterns of admission and clinical outcomes among patients admitted to Medical Intensive Care Unit of a teaching and Referral Hospital Northwest Ethiopia 10 2164956121989258-32

[1] Adhikari NK(2010)Critical care and the global burden of critical illness in adults The Lancet 376 1339-46

[2] Fowler RA(2020)Trauma of major surgery: a global problem that is not going away Int J Surg (London England) 81 47-54

[3] Bhagwanjee S(2008)An estimation of the global volume of surgery: a modelling strategy based on available data The Lancet 372 139-44

[4] Rubenfeld GD(2014)Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit The lancet Respiratory medicine 2 380-6

[5] Dobson GP(2020)Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach Sci Rep 10 21282-5

[6] Weiser TG(2012)Intensive care provision: a global problem Revista Brasileira de terapia intensiva 24 322-6

[7] Regenbogen SE(2014)Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit The Lancet Respiratory medicine 2 380-104

[8] Thompson KD(2021)Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: a multi-center cohort study Annals of Medicine and Surgery 65 102318-4

[9] Haynes AB(2012)Intensive care admissions and outcome at the University of Calabar Teaching Hospital, Nigeria J Crit Care 27 105e101-85

[10] Lipsitz SR(2021)Patterns of admission and clinical outcomes among patients admitted to Medical Intensive Care Unit of a teaching and Referral Hospital Northwest Ethiopia 10 2164956121989258-32