Tim Baker1, Jonas Blixt, Edwin Lugazia, Carl Otto Schell, Moses Mulungu, Anna Milton, Markus Castegren, Jaran Eriksen, David Konrad. 1. 1Department of Anaesthesia, Intensive Care and Surgical Services, Karolinska University Hospital, Stockholm, Sweden. 2Division of Anaesthesiology and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden. 3Global Health-Health Systems and Policy, Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden. 4Department of Anaesthesia and Intensive Care, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania. 5Centre for Clinical Research Sörmland, Uppsala University, Uppsala, Sweden. 6Department of Internal Medicine, Nyköping Hospital, Sörmland County Council, Nyköping, Sweden. 7Department of Anaesthesia and Intensive Care, Muhimbili National Hospital, Dar es Salaam, Tanzania. 8Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge, Stockholm, Sweden.
Abstract
OBJECTIVE: To investigate whether deranged physiologic parameters at admission to an ICU in Tanzania are associated with in-hospital mortality and compare single deranged physiologic parameters to a more complex scoring system. DESIGN: Prospective, observational cohort study of patient notes and admission records. Data were collected on vital signs at admission to the ICU, patient characteristics, and outcomes. Cutoffs for deranged physiologic parameters were defined a priori and their association with in-hospital mortality was analyzed using multivariable logistic regression. SETTING: ICU at Muhimbili National Hospital, Dar es Salaam, Tanzania. PATIENTS: All adults admitted to the ICU in a 15-month period. MEASUREMENTS AND MAIN RESULTS: Two hundred sixty-nine patients were included: 54% female, median age 35 years. In-hospital mortality was 50%. At admission, 69% of patients had one or more deranged physiologic parameter. Sixty-four percent of the patients with a deranged physiologic parameter died in hospital compared with 18% without (p < 0.001). The presence of a deranged physiologic parameter was associated with mortality (adjusted odds ratio, 4.64; 95% CI, 1.95-11.09). Mortality increased with increasing number of deranged physiologic parameters (odds ratio per deranged physiologic parameter, 2.24 [1.53-3.26]). Every individual deranged physiologic parameter was associated with mortality with unadjusted odds ratios between 1.92 and 16.16. A National Early Warning Score of greater than or equal to 7 had an association with mortality (odds ratio, 2.51 [1.23-5.14]). CONCLUSION: Single deranged physiologic parameters at admission are associated with mortality in a critically ill population in a low-income country. As a measure of illness severity, single deranged physiologic parameters are as useful as a compound scoring system in this setting and could be termed "danger signs." Danger signs may be suitable for the basis of routines to identify and treat critically ill patients.
OBJECTIVE: To investigate whether deranged physiologic parameters at admission to an ICU in Tanzania are associated with in-hospital mortality and compare single deranged physiologic parameters to a more complex scoring system. DESIGN: Prospective, observational cohort study of patient notes and admission records. Data were collected on vital signs at admission to the ICU, patient characteristics, and outcomes. Cutoffs for deranged physiologic parameters were defined a priori and their association with in-hospital mortality was analyzed using multivariable logistic regression. SETTING: ICU at Muhimbili National Hospital, Dar es Salaam, Tanzania. PATIENTS: All adults admitted to the ICU in a 15-month period. MEASUREMENTS AND MAIN RESULTS: Two hundred sixty-nine patients were included: 54% female, median age 35 years. In-hospital mortality was 50%. At admission, 69% of patients had one or more deranged physiologic parameter. Sixty-four percent of the patients with a deranged physiologic parameter died in hospital compared with 18% without (p < 0.001). The presence of a deranged physiologic parameter was associated with mortality (adjusted odds ratio, 4.64; 95% CI, 1.95-11.09). Mortality increased with increasing number of deranged physiologic parameters (odds ratio per deranged physiologic parameter, 2.24 [1.53-3.26]). Every individual deranged physiologic parameter was associated with mortality with unadjusted odds ratios between 1.92 and 16.16. A National Early Warning Score of greater than or equal to 7 had an association with mortality (odds ratio, 2.51 [1.23-5.14]). CONCLUSION: Single deranged physiologic parameters at admission are associated with mortality in a critically ill population in a low-income country. As a measure of illness severity, single deranged physiologic parameters are as useful as a compound scoring system in this setting and could be termed "danger signs." Danger signs may be suitable for the basis of routines to identify and treat critically illpatients.
Authors: Kristina E Rudd; Christopher W Seymour; Adam R Aluisio; Marc E Augustin; Danstan S Bagenda; Abi Beane; Jean Claude Byiringiro; Chung-Chou H Chang; L Nathalie Colas; Nicholas P J Day; A Pubudu De Silva; Arjen M Dondorp; Martin W Dünser; M Abul Faiz; Donald S Grant; Rashan Haniffa; Nguyen Van Hao; Jason N Kennedy; Adam C Levine; Direk Limmathurotsakul; Sanjib Mohanty; François Nosten; Alfred Papali; Andrew J Patterson; John S Schieffelin; Jeffrey G Shaffer; Duong Bich Thuy; C Louise Thwaites; Olivier Urayeneza; Nicholas J White; T Eoin West; Derek C Angus Journal: JAMA Date: 2018-06-05 Impact factor: 56.272
Authors: Tim Baker; Carl Otto Schell; Edwin Lugazia; Jonas Blixt; Moses Mulungu; Markus Castegren; Jaran Eriksen; David Konrad Journal: PLoS One Date: 2015-12-22 Impact factor: 3.240
Authors: Christopher C Moore; Riley Hazard; Kacie J Saulters; John Ainsworth; Susan A Adakun; Abdallah Amir; Ben Andrews; Mary Auma; Tim Baker; Patrick Banura; John A Crump; Martin P Grobusch; Michaëla A M Huson; Shevin T Jacob; Olamide D Jarrett; John Kellett; Shabir Lakhi; Albert Majwala; Martin Opio; Matthew P Rubach; Jamie Rylance; W Michael Scheld; John Schieffelin; Richard Ssekitoleko; India Wheeler; Laura E Barnes Journal: BMJ Glob Health Date: 2017-07-28
Authors: Abi Beane; Ambepitiyawaduge Pubudu De Silva; Nirodha De Silva; Jayasingha A Sujeewa; R M Dhanapala Rathnayake; P Chathurani Sigera; Priyantha Lakmini Athapattu; Palitha G Mahipala; Aasiyah Rashan; Sithum Bandara Munasinghe; Kosala Saroj Amarasiri Jayasinghe; Arjen M Dondorp; Rashan Haniffa Journal: BMJ Open Date: 2018-04-27 Impact factor: 2.692
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