Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome?
Of all the 2256 adult cardiac surgical patients operated upon during a 12-month period from 1st February 1992 in three units, only 162 (7.2%) spent more than 48 h in the intensive care unit (ICU) (median 6 days, range 3-90). There were 47 deaths in ICU, 7 more before hospital discharge, and a furthe...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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1995
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| _version_ | 1797050997251506176 |
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| author | Treasure, T Holmes, L Loughead, K Gallivan, S |
| author_facet | Treasure, T Holmes, L Loughead, K Gallivan, S |
| author_sort | Treasure, T |
| collection | OXFORD |
| description | Of all the 2256 adult cardiac surgical patients operated upon during a 12-month period from 1st February 1992 in three units, only 162 (7.2%) spent more than 48 h in the intensive care unit (ICU) (median 6 days, range 3-90). There were 47 deaths in ICU, 7 more before hospital discharge, and a further 10 before the study end-point of one year after surgery. All 98 1-year survivors were at home with 86 of them reporting their quality of life, on formal evaluation, to be within the reference range which we have established for a less complicated cohort of cardiac surgical patients. Prospectively collected physiological measurements were used in a mathematical model to test how well we could predict which patients will die and which of the survivors have a poor quality of life. The algorithm performs well for cardiac surgery patients with a specificity of 98%. If treatment had been withdrawn when death or poor quality of life became predictable, the maximum number of ICU bed days that could be freed was of the order of 2%. The plight of these patients is distressing, but most survive and do well and they are infrequent compared with the large majority who survive to leave hospital after a short ICU stay. |
| first_indexed | 2024-03-06T18:13:31Z |
| format | Journal article |
| id | oxford-uuid:03d17c48-3208-414a-b969-8e497596b2a6 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:13:31Z |
| publishDate | 1995 |
| record_format | dspace |
| spelling | oxford-uuid:03d17c48-3208-414a-b969-8e497596b2a62022-03-26T08:48:27ZSurvival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome?Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:03d17c48-3208-414a-b969-8e497596b2a6EnglishSymplectic Elements at Oxford1995Treasure, THolmes, LLoughead, KGallivan, SOf all the 2256 adult cardiac surgical patients operated upon during a 12-month period from 1st February 1992 in three units, only 162 (7.2%) spent more than 48 h in the intensive care unit (ICU) (median 6 days, range 3-90). There were 47 deaths in ICU, 7 more before hospital discharge, and a further 10 before the study end-point of one year after surgery. All 98 1-year survivors were at home with 86 of them reporting their quality of life, on formal evaluation, to be within the reference range which we have established for a less complicated cohort of cardiac surgical patients. Prospectively collected physiological measurements were used in a mathematical model to test how well we could predict which patients will die and which of the survivors have a poor quality of life. The algorithm performs well for cardiac surgery patients with a specificity of 98%. If treatment had been withdrawn when death or poor quality of life became predictable, the maximum number of ICU bed days that could be freed was of the order of 2%. The plight of these patients is distressing, but most survive and do well and they are infrequent compared with the large majority who survive to leave hospital after a short ICU stay. |
| spellingShingle | Treasure, T Holmes, L Loughead, K Gallivan, S Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome? |
| title | Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome? |
| title_full | Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome? |
| title_fullStr | Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome? |
| title_full_unstemmed | Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome? |
| title_short | Survival and quality of life in patients with protracted recovery from cardiac surgery. Can we predict poor outcome? |
| title_sort | survival and quality of life in patients with protracted recovery from cardiac surgery can we predict poor outcome |
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