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Editorial| Volume 36, ISSUE 1, P91-92, January 2022

Outcome After Cardiac Surgery: The Devil Is in the Details

Published:October 22, 2021DOI:https://doi.org/10.1053/j.jvca.2021.10.025
      Cardiac surgery entails sick patients undergoing major operations. Numerous preoperative, intraoperative, and postoperative factors profoundly influence outcome after cardiac surgery in complex ways (Table 1).
      • Kato H
      • Jena AB
      • Tsugawa Y.
      Patient mortality after surgery on the surgeon's birthday: Observational study.
      • Oh TK
      • Jeon YT
      • Do SH
      • et al.
      Pre-operative assessment of 30-day mortality risk after major surgery: the role of the quick sequential organ failure assessment; a retrospective observational study.
      • Anderson BR
      • Wallace AS
      • Hill KD
      • et al.
      Association of surgeon age and experience with congenital heart surgery outcomes.
      • Aylin P
      • Alexandrescu R
      • Jen MH
      • et al.
      Day of week of procedure and 30 day mortality for elective surgery: Retrospective analysis of hospital episode statistics.
      • Choudhry NK
      • Fletcher RH
      • Soumerai SB.
      Systematic review: The relationship between clinical experience and quality of health care.
      Furthermore, cardiac surgery is associated with unique postoperative morbidities not found after noncardiac surgery, mostly from use of cardiopulmonary bypass (Table 1). Traditionally, mortality rates (usually at 30 days) for all surgical procedures (noncardiac and cardiac) have been used to evaluate numerous things: the procedure itself, surgeon, hospital, etc.
      • Hirji S
      • McGurk S
      • Kiehm S
      • et al.
      Utility of 90-day mortality vs 30-day mortality as a quality metric for transcatheter and surgical aortic valve replacement outcomes.
      ,
      • Hollenbeak CS
      • Spencer M
      • Schilling AL
      • et al.
      Reimbursement penalties and 30-day readmissions following total joint arthroplasty.
      More recently, 30-day mortality rates increasingly are being used in the context of value-based healthcare assessment and public reporting, providing benchmarking data to various stakeholders (patients, surgeons, hospitals, policymakers, payers) and influencing reimbursement.
      • Hirji S
      • McGurk S
      • Kiehm S
      • et al.
      Utility of 90-day mortality vs 30-day mortality as a quality metric for transcatheter and surgical aortic valve replacement outcomes.
      Is this fair? The author assumes most clinicians agree that it is not. Just because a patient is alive 30 days after any surgery does not mean they are well (morbidity), nor does it predict improved long-term quality of life or survival.
      Table 1Factors Influencing Outcome After Cardiac Surgery
      Preoperative Factors
       Age/sex/body habitus
       Patient risk profile
        Medications
        Coexisting disease
        Previous surgeries
        Elective versus emergent
      Intraoperative factors
       Procedure performed
       Quality of procedure performed
       Surgeon
       Use/non-use of cardiopulmonary bypass
       Cardiopulmonary bypass time
       Blood product usage
      Postoperative factors
       Neurologic dysfunction
       Cardiac dysfunction
       Hemodynamic abnormalities
       Atrial fibrillation
       Pulmonary dysfunction
       Renal dysfunction
       Bleeding abnormalities
      Perioperative factors
       Hospital Annual Volume
      In this issue of the Journal of Cardiothoracic and Vascular Anesthesia, Brovman et al. from Tufts Medical Center (Boston, MA) evaluated the relationship between 30-day mortality and longer-term mortality in cardiac surgical patients.
      • Brovman E
      • James ME
      • Alexander B
      • et al.
      The association between institutional mortality after coronary artery bypass grafting at one year and mortality ratesat 30 days.
      Using the Centers for Medicare and Medicaid Limited Services Data Set National Database, they retrospectively assessed 37,036 patients who underwent isolated coronary artery bypass grafting (CABG) at 394 different hospitals between April 1, 2016, and March 31, 2017 (one year). Hospitals reporting fewer than 50 cases during this period were excluded to limit potential bias due to low surgical volume. Mortality was reported for each patient at 30, 60, and 90 days, and at one year. Each hospital's mortality percentile was calculated at the four points. Regarding hospitals in the top quartile at 30 days, only roughly half remained there at one year. Similarly, regarding hospitals in the bottom quartile at 30 days, only roughly half remained there at one year.
      The few strengths of this analysis are obvious: large number of patients, single procedure type, numerous hospitals, and avoidance of low surgical volume hospitals. The numerous weaknesses of this analysis are just as obvious: retrospective analysis of a limited administrative database,
      • Manlhiot C
      • Rao V
      • Rubin B
      • et al.
      Comparison of cardiac surgery mortality reports using administrative and clinical data sources: A prospective cohort study.
      no preoperative risk assessment, no information on use/non-use of cardiopulmonary bypass, no postoperative morbidity assessment, and no postoperative hospital readmission assessment. However, the data presented seemed to indicate that when comparing hospitals’ performance of isolated CABG, 30-day mortality rates only are correlated poorly (if at all) to one-year mortality rates. This really comes as no surprise. Abundant literature exists supporting the notion that “early” morbidity/mortality does not correlate with “late” morbidity/mortality after numerous types of noncardiac and cardiac surgery.
      • Choudhry NK
      • Fletcher RH
      • Soumerai SB.
      Systematic review: The relationship between clinical experience and quality of health care.
      ,
      • Hua M
      • Scales DC
      • Cooper Z
      • et al.
      Impact of public reporting of 30-day mortality on timing of death after coronary artery bypass graft surgery.
      • McMillan RR
      • Berger A
      • Sima CS
      • al Let
      Thirty-day mortality underestimates the risk of early death after major resections for thoracic malignancies.
      • Talsma AK
      • Lingsma HF
      • Steyerberg EW
      • et al.
      The 30-day versus in-hospital and 90-day mortality after esophagectomy as indicators for quality of care.
      • Siregar S
      • Groenwold RHH
      • de Mol BAJM
      • et al.
      Evaluation of cardiac surgery mortality rates: 30-day mortality or longer follow-up?.
      What is fascinating in the presented data, the authors did not even address. They initially assessed 53,730 patients/1,154 hospitals yet appropriately excluded hospitals reporting fewer than 50 cases/year to limit potential bias due to low surgical volume, leaving the 37,036 patients/394 hospitals analyzed. The number of low surgical volume hospitals excluded is staggering: 760 hospitals, performing 16,694 isolated CABG surgeries.
      The clear relationship between surgeon/hospital volume and outcome after cardiac surgery has been known for quite some time.
      • Chou YY
      • Hwang JJ
      • Tung YC.
      Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.
      • Alkhouli M
      • Alquahtani F
      • Cook CC.
      Association between surgical volume and clinical outcomes following coronary artery bypass grafting in contemporary practice.
      • Gutacker N
      • Bloor K
      • Cookson R
      • et al.
      Hospital surgical volumes and mortality after coronary artery bypass grafting; using international comparisons to determine a safe threshold.
      • Shah N
      • Chothani A
      • Agarwal V
      • et al.
      Impact of annual hospital volume on outcomes after left ventricular assist device (LVAD) implantation in the contemporary era.
      • Waljee JF
      • Greenfield LJ
      • Dimick JB
      • et al.
      Surgeon age and operative mortality in the United States.
      • Wu C
      • Hannan EL
      • Ryan TJ
      • et al.
      Is the impact of hospital and surgeon volumes on the in-hospital mortality rate for coronary artery bypass graft surgery limited to patients at high risk?.
      • Hannan EL
      • Wu C
      • Ryan TJ
      • et al.
      Do hospitals and surgeons with higher coronary artery bypass graft surgery volumes still have lower risk-adjusted mortality rates?.
      Recently published very large database analyses clearly indicated a strong relationship between surgeon/hospital volume and morbidity, mortality, hospital length-of-stay, cost, and 30-day readmission rate in patients undergoing CABG.
      • Chou YY
      • Hwang JJ
      • Tung YC.
      Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.
      ,
      • Alkhouli M
      • Alquahtani F
      • Cook CC.
      Association between surgical volume and clinical outcomes following coronary artery bypass grafting in contemporary practice.
      The hospital volume threshold appeared to be somewhere between 50 and 100 CABG operations annually, and currently it is estimated that about a third of all CABG surgery performed in the United States are in such low-volume hospitals.
      • Alkhouli M
      • Alquahtani F
      • Cook CC.
      Association between surgical volume and clinical outcomes following coronary artery bypass grafting in contemporary practice.
      These facts support policies regionalizing CABG at high-volume hospitals and likely extend to more complex cardiac surgeries as well (valve surgery, heart/lung transplant, mechanical assistance, etc.).
      • Chou YY
      • Hwang JJ
      • Tung YC.
      Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.
      Brovman et al. are to be congratulated for providing additional evidence that “early outcome” (however defined) after cardiac surgery does not predict “late outcome” (however defined). Clearly, using 30-day mortality rates to assess hospitals’ quality of perioperative cardiac surgical care and influence reimbursement is simplistic and inappropriate. Some even have implied that “gaming” of the system occurs, such as delaying decisions to withdraw life-sustaining therapies to influence reimbursement.
      • Hua M
      • Scales DC
      • Cooper Z
      • et al.
      Impact of public reporting of 30-day mortality on timing of death after coronary artery bypass graft surgery.
      Outcome after cardiac surgery is influenced by numerous factors and those listed in the table only scratch the surface. Clearly, surgeon volume/hospital volume profoundly influences outcome after cardiac surgery, yet, literally, thousands of cardiac surgeries are being performed by low-volume centers every year in the United States. Perhaps it is time to somehow influence (as always, through reimbursement) regionalizing cardiac surgery procedures at high-volume hospitals to improve outcome (thus, ultimately decreasing cost) instead of assessing quality of care and distributing reimbursement through crude, simplistic 30-day mortality rates.

      Declaration of Competing Interest

      None

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