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Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis

BACKGROUND: The ASA physical classification score has a major impact on the observed/expected (O/E) mortality ratio in the NSQIP General Vascular Mortality Model. The difference in predicted mortality is greatest between ASAs 3 and 4. We hypothesized under-classified ASA scores significantly affect...

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Autores principales: Helkin, Alex, Jain, Sumeet V., Gruessner, Angelika, Fleming, Maureen, Kohman, Leslie, Costanza, Michael, Cooney, Robert N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725975/
https://www.ncbi.nlm.nih.gov/pubmed/29238570
http://dx.doi.org/10.1186/s13741-017-0076-1
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author Helkin, Alex
Jain, Sumeet V.
Gruessner, Angelika
Fleming, Maureen
Kohman, Leslie
Costanza, Michael
Cooney, Robert N.
author_facet Helkin, Alex
Jain, Sumeet V.
Gruessner, Angelika
Fleming, Maureen
Kohman, Leslie
Costanza, Michael
Cooney, Robert N.
author_sort Helkin, Alex
collection PubMed
description BACKGROUND: The ASA physical classification score has a major impact on the observed/expected (O/E) mortality ratio in the NSQIP General Vascular Mortality Model. The difference in predicted mortality is greatest between ASAs 3 and 4. We hypothesized under-classified ASA scores significantly affect the O/E mortality. METHODS: We conducted a retrospective review of NSQIP essential surgery cases from January 2014 to December 2014 (n = 1264) with mortality sub-analysis (n = 33) at our institution. We recorded transfer and emergency status and independently calculated the ASA score for mortalities using published definitions. A random sample of 50 survivors and 10 emergency survivors were reviewed and ASA recalculated. We performed statistical modeling to simulate the effects of ASA misclassifications. Statistical analysis was performed using JMP 10 and SAS 9.4. RESULTS: ASA was under-classified in 18.2% of mortalities, most commonly ASAs 3 and 4. Sixteen percent of ASA 3 survivors were misclassified, including 60% in the emergency subgroup (p < 0.05 vs. elective cases). Patients transferred from other institutions were more likely to be emergency cases than non-transferred patients (43.5 vs. 7.84%, p < 0.05). Transferred patients had a higher proportion of ASAs 3–5 vs. ASAs 1–2 compared with non-transfers (84.38 vs. 49.76%, p < 0.05) Simulation data showed ASA misclassification underestimated predicted mortality by 2.5 deaths on average. CONCLUSION: ASA misclassification significantly impacts O/E mortality. With accurate ASA classification, observed mortality would not have exceeded expected mortality in our institution. Education regarding the impact of ASA scoring is critical to ensure accurate O/E mortality data at hospitals using NSQIP to assess surgical quality.
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spelling pubmed-57259752017-12-13 Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis Helkin, Alex Jain, Sumeet V. Gruessner, Angelika Fleming, Maureen Kohman, Leslie Costanza, Michael Cooney, Robert N. Perioper Med (Lond) Research BACKGROUND: The ASA physical classification score has a major impact on the observed/expected (O/E) mortality ratio in the NSQIP General Vascular Mortality Model. The difference in predicted mortality is greatest between ASAs 3 and 4. We hypothesized under-classified ASA scores significantly affect the O/E mortality. METHODS: We conducted a retrospective review of NSQIP essential surgery cases from January 2014 to December 2014 (n = 1264) with mortality sub-analysis (n = 33) at our institution. We recorded transfer and emergency status and independently calculated the ASA score for mortalities using published definitions. A random sample of 50 survivors and 10 emergency survivors were reviewed and ASA recalculated. We performed statistical modeling to simulate the effects of ASA misclassifications. Statistical analysis was performed using JMP 10 and SAS 9.4. RESULTS: ASA was under-classified in 18.2% of mortalities, most commonly ASAs 3 and 4. Sixteen percent of ASA 3 survivors were misclassified, including 60% in the emergency subgroup (p < 0.05 vs. elective cases). Patients transferred from other institutions were more likely to be emergency cases than non-transferred patients (43.5 vs. 7.84%, p < 0.05). Transferred patients had a higher proportion of ASAs 3–5 vs. ASAs 1–2 compared with non-transfers (84.38 vs. 49.76%, p < 0.05) Simulation data showed ASA misclassification underestimated predicted mortality by 2.5 deaths on average. CONCLUSION: ASA misclassification significantly impacts O/E mortality. With accurate ASA classification, observed mortality would not have exceeded expected mortality in our institution. Education regarding the impact of ASA scoring is critical to ensure accurate O/E mortality data at hospitals using NSQIP to assess surgical quality. BioMed Central 2017-12-11 /pmc/articles/PMC5725975/ /pubmed/29238570 http://dx.doi.org/10.1186/s13741-017-0076-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Helkin, Alex
Jain, Sumeet V.
Gruessner, Angelika
Fleming, Maureen
Kohman, Leslie
Costanza, Michael
Cooney, Robert N.
Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis
title Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis
title_full Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis
title_fullStr Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis
title_full_unstemmed Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis
title_short Impact of ASA score misclassification on NSQIP predicted mortality: a retrospective analysis
title_sort impact of asa score misclassification on nsqip predicted mortality: a retrospective analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725975/
https://www.ncbi.nlm.nih.gov/pubmed/29238570
http://dx.doi.org/10.1186/s13741-017-0076-1
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