The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Submaximal Cardiopulmonary Exercise Testing Predicts Complications and Hospital Length of Stay in Patients Undergoing Major Elective Surgery
Abstract
OBJECTIVE: To investigate the null hypothesis that an objective, noninvasive technique of measuring cardiorespiratory reserve, does not improve the preoperative assessment of patient risk of postoperative complications, when compared with a standard questionnaire-based assessment of functional capacity. SUMMARY BACKGROUND DATA: Postoperative complications may be increased in patients with reduced cardiorespiratory function. Activity questionnaires are subjective, whereas cardiopulmonary exercise testing (CPET) provides an objective definition of cardiorespiratory reserve. The use of preoperative CPET to predict postoperative complications is not fully defined. METHOD: CPET and an algorithm-based activity assessment (Veterans Activity Questionnaire Index [VASI]) were performed on consecutive patients (n = 171) with low subjective functional capacity (metabolic equivalent score [METS] < 7), being assessed for major surgery. A morbidity survey determined postoperative day 7 complications. Logistic regression defined independent predictors of complication group. Receiver-operating curve (ROC) analysis defined the predictive value of CPET to outcome. P < 0.05 value demonstrated significance. RESULTS: Objective cardiorespiratory reserve did not differ between operated (n = 116) and nonoperated patients (n = 55). Median complication rate on postoperative day 7 was 1. Patients with >1 complication had an increase in hospital LOS compared to the group with < or =1 complication (26 vs. 10 days; P < 0.001). Anaerobic threshold (AT) was higher in the group with < or =1 complication (11.9 vs. 9.1 mL/kg/min; P = 0.001) and demonstrated high accuracy (AUC = 0.85), sensitivity (88%), and specificity (79%), at an optimum AT of 10.1 mL/kg/min (defined by the furthest left point on the ROC curve). AT, VASI, and surgical reintervention were independent predictors of complication group. Preoperative AT significantly improved outcome prediction when compared with the use of VASI alone. CONCLUSION: An objective measure of cardiorespiratory reserve was an independent predictor of a major surgical group with increased postoperative complications and hospital LOS. AT measurement significantly improved outcome prediction compared with an algorithm-based activity assessment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lee, T. H., Marcantonio, E. R., Mangione, C. M., Thomas, E. J., Polanczyk, C. A., Cook, E. F., Sugarbaker, D. J., Donaldson, M. C., Poss, R., Ho, K. K. L., et al. (1999) · Circulation · doi:10.1161/01.cir.100.10.1043 · Cited by 3,771
Multifactorial Index of Cardiac Risk in Noncardiac Surgical Procedures
Goldman, L., Caldera, D. L., Nussbaum, S. R., Southwick, F. S., Krogstad, D., Murray, B., Burke, D. S., O'Malley, T. A., Goroll, A. H., Caplan, C. H., et al. (1977) · New England Journal of Medicine · doi:10.1056/nejm197710202971601 · Cited by 2,751
POSSUM: A scoring system for surgical audit
Copeland, G. P., Jones, D., & Walters, M. (1991) · Journal of British Surgery · doi:10.1002/bjs.1800780327 · Cited by 1,709
Khuri, S. F., Henderson, W. G., DePalma, R. G., Mosca, C., Healey, N. A., & Kumbhani, D. J. (2005) · Annals of Surgery · doi:10.1097/01.sla.0000179621.33268.83 · Cited by 1,452
Identification and characterisation of the high-risk surgical population in the United Kingdom
Pearse, R. M., Harrison, D. A., James, P., Watson, D., Hinds, C., Rhodes, A., Grounds, R. M., & Bennett, E. D. (2006) · Critical Care · doi:10.1186/cc4928 · Cited by 667
Older, P., Hall, A., & Hader, R. (1999) · Chest · doi:10.1378/chest.116.2.355 · Cited by 563
Fleisher, L. A., Beckman, J. A., Brown, K. A., Calkins, H., Chaikof, E., Fleischmann, K. E., Freeman, W. K., Froehlich, J. B., Kasper, E. K., Kersten, J. R., et al. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.09.001 · Cited by 537
Cardiac Assessment for Patients Undergoing Noncardiac Surgery A Multifactorial Clinical Risk Index
Detsky, A. S. (1986) · Archives of Internal Medicine · doi:10.1001/archinte.146.11.2131 · Cited by 501
Gitt, A. K., Wasserman, K., Kilkowski, C., Kleemann, T., Kilkowski, A., Bangert, M., Schneider, S., Schwarz, A., & Senges, J. (2002) · Circulation · doi:10.1161/01.cir.0000041428.99427.06 · Cited by 491
Boersma, E., Kertai, M. D., Schouten, O., Bax, J. J., Noordzij, P., Steyerberg, E. W., Schinkel, A. F. L., van Santen, M., Simoons, M. L., Thomson, I. R., et al. (2005) · The American Journal of Medicine · doi:10.1016/j.amjmed.2005.01.064 · Cited by 380
Cited by
Fleisher, L. A., Fleischmann, K. E., Auerbach, A. D., Barnason, S. A., Beckman, J. A., Bozkurt, B., Davila-Roman, V. G., Gerhard-Herman, M. D., Holly, T. A., Kane, G. C., et al. (2014) · Circulation · doi:10.1161/cir.0000000000000105 · Cited by 800
Levett, D. Z. H., Jack, S., Swart, M., Carlisle, J., Wilson, J., Snowden, C., Riley, M., Danjoux, G., Ward, S. A., Older, P., et al. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2017.10.020 · Cited by 466
Self-citationWest, M. A., Loughney, L., Lythgoe, D., Barben, C. P., Sripadam, R., Kemp, G. J., Grocott, M. P. W., & Jack, S. (2015) · British Journal of Anaesthesia · doi:10.1093/bja/aeu318 · Cited by 364
van Rooijen, S., Carli, F., Dalton, S., Thomas, G., Bojesen, R., Le Guen, M., Barizien, N., Awasthi, R., Minnella, E., Beijer, S., et al. (2019) · BMC Cancer · doi:10.1186/s12885-018-5232-6 · Cited by 363
Promoting perioperative metabolic and nutritional care
Gillis, C., & Carli, F. (2015) · Anesthesiology · doi:10.1097/aln.0000000000000795 · Cited by 350
Metadata
- Authors
- Snowden, C. P., Prentis, J. M., Anderson, H. L., Roberts, D. R., Randles, D., Renton, M., & Manas, D. M.
- Venue
- Annals of Surgery
- Published
- 2010-03
- Volume
- 251
- Issue
- 3
- Pages
- 535-541
- ISSN
- 0003-4932 (ISSN-L)
- OpenAlex
- W2015886360
- Cited by
- 383
- References
- 21
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Submaximal Cardiopulmonary Exercise Testing Predicts Complications and Hospital Length of Stay in Patients Undergoing Major Elective Surgery. https://app.cochat.ai/papers/10.1097/sla.0b013e3181cf811d
- The paper
- Snowden, C. P., Prentis, J. M., Anderson, H. L., Roberts, D. R., Randles, D., Renton, M., & Manas, D. M. (2010). Submaximal Cardiopulmonary Exercise Testing Predicts Complications and Hospital Length of Stay in Patients Undergoing Major Elective Surgery. Annals of Surgery. https://doi.org/10.1097/sla.0b013e3181cf811d
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.