Importance of appropriately modeling procedure and duration in logistic regression studies of perioperative morbidity and mortality

Anesthesia and Analgesia

Volumn 113, Issue 5, 2011, Pages 1197-1201

  Dexter, Franklin ^a   Dexter, Elisabeth U ^b,c   Ledolter, Johannes ^d  

^a UNIVERSITY OF IOWA   (United States)

^b ROSWELL PARK CANCER INSTITUTE   (United States)

^c UNIVERSITY AT BUFFALO   (United States)

^d UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; DISEASE COURSE; LINEAR REGRESSION ANALYSIS; LOGISTIC REGRESSION ANALYSIS; OPERATION DURATION; OUTCOME ASSESSMENT; PREDICTIVE VALUE; PRIORITY JOURNAL; PROCESS MODEL; HUMAN; METHODOLOGY; MORTALITY; PERIOPERATIVE PERIOD; REVIEW; RISK; STATISTICAL MODEL; STATISTICS;

HUMANS; LOGISTIC MODELS; MODELS, STATISTICAL; ODDS RATIO; PERIOPERATIVE PERIOD; RESEARCH DESIGN;

EID: 80055081306     PISSN: 00032999     EISSN: None     Source Type: Journal    
DOI: 10.1213/ANE.0b013e318229d450     Document Type: Article

References (43)

1. Canet J, Gallart L, Gomar C, Paluzie G, Vallès J, Castillo J, Sabaté S, Mazo V, Briones Z, Sanchis J. Prediction of postoperative pulmonary complications in a population-based surgical cohort. Anesthesiology 2010;113:1338-50
2. Rodseth RN, Gopalan PD, Cassimjee HM, Goga S. Reduced incidence of postoperative nausea and vomiting in Black South Africans and its utility for a modified risk scoring system. Anesth Analg 2010 110: 1591-4.
3. Ruiz JR, Kee SS, Frenzel JC, Ensor JE, Selvan M, Riedel BJ, Apfel C. The effect of an anatomically classified procedure on antiemetic administration in the postanesthesia care unit. Anesth Analg 2010;110:403-9
4. Argalious M, Xu M, Sun Z, Smedira N, Koch CG. Preoperative statin therapy is not associated with a reduced incidence of postoperative acute kidney injury after cardiac surgery. Anesth Analg 2010;111:324-30
5. Wasowicz M, McCluskey SA, Wijeysundera DN, Yau TM, Meinri M, Beattie WS, Karkouti K. The incremental value of thrombelastography for prediction of excessive blood loss after cardiac surgery: an observational study. Anesth Analg 2010; 111:331-8
6. Dexter F, Dexter EU, Masursky D, Nussmeier NA. Systematic review of general thoracic surgery articles to identify predictors of operating room case durations. Anesth Analg 2008;106:1232-41
7. Kachare S, Dexter EU, Nwogu C, Demmy TL, Yendamuri S. Perioperative outcomes of thoracoscopic anatomic resections in patients with limited pulmonary reserve. J Thorac Cardiovasc Surg 2011;141:459-62
8. Paul S, Altorki NK, Sheng S, Lee PC, Harpole DH, Onaitis MW, Stiles BM, Port JL, D'Amico TA. Thoracoscopic lobectomy is associated with lower morbidity than open lobectomy: A propensity-matched analysis from the STS database. J Thorac Cardiovasc Surg 2010;139:366-78
9. Villamizar NR, Darrabie MD, Burfeind WR, Petersen RP, Onaitis MW, Toloza E, Harpole DH, D'Amico TA. Thoracoscopic lobectomy is associated with lower morbidity compared with thoracotomy. J Thorac Cardiovasc Surg 2009;138:419-25
10. Dexter F, Ledolter J. Bayesian prediction bounds and comparisons of operating room times even for procedures with few or no historical data. Anesthesiology 2005;103:1259-67
11. Gail MH, Wieand S, Piantadosi S. Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika 1984;71:431-44
12. Mood C. Logistic regression: why we cannot do what we think we can do, and what we can do about it. Eur Sociol Rev 2010;26:67-82
13. Dexter F, Epstein RH, Lee JD, Ledolter J. Automatic updating of times remaining in surgical cases using Bayesian analysis of historical case duration data and instant messaging updates from anesthesia providers. Anesth Analg 2009;108:929-40
14. Dexter F, Macario A. What is the relative frequency of uncommon ambulatory surgery procedures in the United States with an anesthesia provider? Anesth Analg 2000;90:1343-7
15. Dexter F, Traub RD, Fleisher LA, Rock P. What sample sizes are required for pooling surgical case durations among facilities to decrease the incidence of procedures with little historical data? Anesthesiology 2002;96:1230-6
16. Fewell Z, Smith GD, Sterne JAC. The impact of residual and unmeasured confounding in epidemiologic studies: A simulation study. Amer J Epidemiol 2007;166:646-55
17. Austin PC, Grootendorst P, Norman SLT, Anderson GM. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study. Stat Med 2007;26:754-68
18. Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V. Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder. Pharmacoepidemiol Drug Saf 2005;14:227-38
19. Fellahi JL, Parienti JJ, Hanouz JL, Plaud B, Riou B, Ouattara A. Perioperative use of dobutamine in cardiac surgery and adverse cardiac outcome: propensity-adjusted analyses. Anesthesiology 2008;108:979-87
20. Eijkemans MJC, van Houdenhoven M, Nguyen T, Boersma E, Steyerberg EW, Kazemier G. Predicting the unpredictable: A new prediction model for operating room times using individual characteristics and the surgeon's estimate. Anesthesiology 2010;112:41-9
21. Stepaniak PS, Heij C, de Vries G. Modeling and prediction of surgical procedure times. Stat Neerl 2010;64:1-18
22. Stepaniak PS, Heij C, Mannaerts GH, de Quelerij M, de Vries G. Modeling procedure and surgical times for current procedural terminology-anesthesia- surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: A multicenter study. Anesth Analg 2009;109:1232-45
23. Dexter F, Dexter EU, Ledolter J. Influence of procedure classification on process variability and parameter uncertainty of surgical case durations. Anesth Analg 2010;110:1155-63
24. Dexter F, Macario A, Epstein RH, Ledolter J. Validity and usefulness of a method to monitor surgical services' average bias in scheduled case durations. Can J Anaesth 2005;52:935-9
25. Ledolter J, Dexter F. Analysis of interventions influencing or reducing patient waiting while stratifying by surgical procedure. Anesth Analg 2011;112:950-7
26. Zhou J, Dexter F, Macario A, Lubarsky DA. Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late. J Clin Anesth 1999;11:601-5
27. Thoresen M. Correction for measurement error in multiple logistic regression: A simulation study. J Statistic Comput Simul 2006;76:475-87
28. Dexter F, Macario A, Traub RD, Hopwood M, Lubarsky DA. An operating room scheduling strategy to maximize the use of operating room block time. Computer simulation of patient scheduling and survey of patients' preferences for surgical waiting time. Anesth Analg 1999;89:7-20
29. Dexter F, Macario A, Lubarsky DA. Impact on revenue of increasing patient volume at surgical suites with relatively high operating room utilization. Anesth Analg 2001;92:1215-21
30. Strum DP, May JH, Vargas LG. Modeling the uncertainty of surgical procedure times: comparison of the log-normal and normal models. Anesthesiology 2000;92:1160-7
31. Strum DP, May JH, Sampson AR, Vargas LG, Spangler WE. Estimating times of surgeries with two component procedures: comparison of the lognormal and normal models. Anesthesiology 2003;98:232-40
32. Cheng D, Branscum AJ, Stamey JD. Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies. Ann Epidemiol 2010;20:562-7
33. Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O. Estimating anesthesia and surgical procedure times from medicare anesthesia claims. Anesthesiology 2007;106:346-55
34. Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O. Influence of patient and hospital characteristics on anesthesia time in medicare patients undergoing general and orthopedic surgery. Anesthesiology 2007;106:356-64
35. Reich DL, Bennett-Guerrero E, Bodian CA, Hossain S, Winfree W, Krol M. Intraoperative tachycardia and hypertension are independently associated with adverse outcome in noncardiac surgery of long duration. Anesth Analg 2002;95:273-7
36. Dexter EU, Dexter F, Masursky D, Kasprowicz KA. Prospective trial of thoracic and spine surgeons' updating of their estimated case durations at the start of cases. Anesth Analg 2010;110:1164-8
37. Wachtel RE, Dexter F. Influence of the operating room schedule on tardiness from scheduled start times. Anesth Analg 2009;108:1889-901
38. Stepaniak PS, Mannaerts GH, de Quelerij M, de Vries G. The effect of the operating room coordinator's risk appreciation on operating room efficiency. Anesth Analg 2009;108:1249-56
39. Grund B, Sabin C. Analysis of biomarker data: logs, odds ratios, and receiver operating characteristic curves. Curr Opin HIV AIDS 2010;5:473-9
40. Rosner B, Spiegelman D, Willett WC. Correction of logisticregression relative risk estimates and confidence intervals for measurement error-the case of multiple covariates measured with error. Amer J Epidemiol 1990;132:734-45
41. Cook JR, Stefanski LA. Simulation-extrapolation estimation in parametric measurement error models. J Amer Statist Assoc 1994;89:1314-28
42. Li W, Qu YM. Adjustment for the measurement error in evaluating biomarkers. Stat Med 2010;29:2338-46
43. Strum DP, Sampson AR, May JH, Vargas LG. Surgeon and type of anesthesia predict variability in surgical procedure times. Anesthesiology 2000;92:1454-66