Matches in SemOpenAlex for { <https://semopenalex.org/work/W3212722422> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W3212722422 endingPage "92" @default.
- W3212722422 startingPage "91" @default.
- W3212722422 abstract "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).1Kato H Jena AB Tsugawa Y. Patient mortality after surgery on the surgeon's birthday: Observational study.BMJ. 2020; 371: m4381Crossref Scopus (13) Google Scholar, 2Oh 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.Eur J Anaesthesiol. 2019; 36: 688-694Crossref PubMed Scopus (5) Google Scholar, 3Anderson BR Wallace AS Hill KD et al.Association of surgeon age and experience with congenital heart surgery outcomes.Circ Cardiovasc Qual Outcome. 2017; 10Crossref Scopus (30) Google Scholar, 4Aylin 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.BMJ. 2013; 346: 12424Google Scholar, 5Choudhry NK Fletcher RH Soumerai SB. Systematic review: The relationship between clinical experience and quality of health care.Ann Intern Med. 2005; 142: 260-273Crossref PubMed Scopus (1014) Google Scholar 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.6Hirji 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.JAMA Cardiol. 2020; 5: 156-165Crossref PubMed Scopus (30) Google Scholar,7Hollenbeak CS Spencer M Schilling AL et al.Reimbursement penalties and 30-day readmissions following total joint arthroplasty.JBJS Open Access. 2020; (e19.00072)Crossref Scopus (8) Google Scholar 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.6Hirji 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.JAMA Cardiol. 2020; 5: 156-165Crossref PubMed Scopus (30) Google Scholar 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 SurgeryPreoperative Factors Age/sex/body habitus Patient risk profile Medications Coexisting disease Previous surgeries Elective versus emergentIntraoperative factors Procedure performed Quality of procedure performed Surgeon Use/non-use of cardiopulmonary bypass Cardiopulmonary bypass time Blood product usagePostoperative factors Neurologic dysfunction Cardiac dysfunction Hemodynamic abnormalities Atrial fibrillation Pulmonary dysfunction Renal dysfunction Bleeding abnormalitiesPerioperative factors Hospital Annual Volume Open table in a new tab 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.8Brovman 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.J Cardiothorac Vasc Anesth. 2022; 36: 86-90Abstract Full Text Full Text PDF Scopus (2) Google Scholar 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,9Manlhiot C Rao V Rubin B et al.Comparison of cardiac surgery mortality reports using administrative and clinical data sources: A prospective cohort study.CMAJ Open. 2018; 6: E316-E321Crossref PubMed Scopus (5) Google Scholar 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.5Choudhry NK Fletcher RH Soumerai SB. Systematic review: The relationship between clinical experience and quality of health care.Ann Intern Med. 2005; 142: 260-273Crossref PubMed Scopus (1014) Google Scholar,10Hua 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.Anesthesiology. 2017; 127: 953-960Crossref PubMed Scopus (12) Google Scholar, 11McMillan RR Berger A Sima CS al Let Thirty-day mortality underestimates the risk of early death after major resections for thoracic malignancies.Ann Thorac Surg. 2014; 98: 1769-1775Abstract Full Text Full Text PDF PubMed Scopus (62) Google Scholar, 12Talsma 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.Ann Surg. 2014; 260: 267-273Crossref PubMed Scopus (68) Google Scholar, 13Siregar S Groenwold RHH de Mol BAJM et al.Evaluation of cardiac surgery mortality rates: 30-day mortality or longer follow-up?.Eur J Cardiothorac Surg. 2013; 44: 875-883Crossref PubMed Scopus (78) Google Scholar 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.14Chou YY Hwang JJ Tung YC. Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.PLoS One. 2021; 16e0249750Crossref PubMed Scopus (6) Google Scholar, 15Alkhouli M Alquahtani F Cook CC. Association between surgical volume and clinical outcomes following coronary artery bypass grafting in contemporary practice.J Card Surg. 2019; 34: 1049-1054Crossref PubMed Scopus (14) Google Scholar, 16Gutacker 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.Health Serv Res. 2017; 52: 863-878Crossref PubMed Scopus (34) Google Scholar, 17Shah 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.J Cardiac Fail. 2016; 22: 232-237Abstract Full Text Full Text PDF PubMed Scopus (29) Google Scholar, 18Waljee JF Greenfield LJ Dimick JB et al.Surgeon age and operative mortality in the United States.Ann Surg. 2006; 244: 353-362Crossref PubMed Scopus (9) Google Scholar, 19Wu 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?.Circulation. 2004; 110: 784-789Crossref PubMed Scopus (58) Google Scholar, 20Hannan 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?.Circulation. 2003; 108: 795-801Crossref PubMed Scopus (177) Google Scholar 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.14Chou YY Hwang JJ Tung YC. Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.PLoS One. 2021; 16e0249750Crossref PubMed Scopus (6) Google Scholar,15Alkhouli M Alquahtani F Cook CC. Association between surgical volume and clinical outcomes following coronary artery bypass grafting in contemporary practice.J Card Surg. 2019; 34: 1049-1054Crossref PubMed Scopus (14) Google Scholar 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.15Alkhouli M Alquahtani F Cook CC. Association between surgical volume and clinical outcomes following coronary artery bypass grafting in contemporary practice.J Card Surg. 2019; 34: 1049-1054Crossref PubMed Scopus (14) Google Scholar 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.).14Chou YY Hwang JJ Tung YC. Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.PLoS One. 2021; 16e0249750Crossref PubMed Scopus (6) Google Scholar 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.10Hua 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.Anesthesiology. 2017; 127: 953-960Crossref PubMed Scopus (12) Google Scholar 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. None The Association Between Institutional Mortality After Coronary Artery Bypass Grafting at One Year and Mortality Rates at 30 DaysJournal of Cardiothoracic and Vascular AnesthesiaVol. 36Issue 1PreviewTo assess the association between the common quality metric of 30-day mortality and mortality at 60 days, 90 days, and one year after coronary artery bypass grafting. Full-Text PDF" @default.
- W3212722422 created "2021-11-22" @default.
- W3212722422 creator A5001448717 @default.
- W3212722422 creator A5070592490 @default.
- W3212722422 date "2022-01-01" @default.
- W3212722422 modified "2023-10-18" @default.
- W3212722422 title "Outcome After Cardiac Surgery: The Devil Is in the Details" @default.
- W3212722422 cites W2035657384 @default.
- W3212722422 cites W2090169408 @default.
- W3212722422 cites W2108419203 @default.
- W3212722422 cites W2109275503 @default.
- W3212722422 cites W2134152451 @default.
- W3212722422 cites W2134551201 @default.
- W3212722422 cites W2146050577 @default.
- W3212722422 cites W2378072159 @default.
- W3212722422 cites W2734344634 @default.
- W3212722422 cites W2755401444 @default.
- W3212722422 cites W2890806549 @default.
- W3212722422 cites W2913057523 @default.
- W3212722422 cites W2965162977 @default.
- W3212722422 cites W2995404676 @default.
- W3212722422 cites W3021748153 @default.
- W3212722422 cites W3041181393 @default.
- W3212722422 cites W3112815061 @default.
- W3212722422 cites W3156286235 @default.
- W3212722422 cites W3198649584 @default.
- W3212722422 doi "https://doi.org/10.1053/j.jvca.2021.10.025" @default.
- W3212722422 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34794878" @default.
- W3212722422 hasPublicationYear "2022" @default.
- W3212722422 type Work @default.
- W3212722422 sameAs 3212722422 @default.
- W3212722422 citedByCount "2" @default.
- W3212722422 countsByYear W32127224222023 @default.
- W3212722422 crossrefType "journal-article" @default.
- W3212722422 hasAuthorship W3212722422A5001448717 @default.
- W3212722422 hasAuthorship W3212722422A5070592490 @default.
- W3212722422 hasConcept C144237770 @default.
- W3212722422 hasConcept C148220186 @default.
- W3212722422 hasConcept C164705383 @default.
- W3212722422 hasConcept C177713679 @default.
- W3212722422 hasConcept C2778789114 @default.
- W3212722422 hasConcept C33923547 @default.
- W3212722422 hasConcept C61434518 @default.
- W3212722422 hasConcept C71924100 @default.
- W3212722422 hasConceptScore W3212722422C144237770 @default.
- W3212722422 hasConceptScore W3212722422C148220186 @default.
- W3212722422 hasConceptScore W3212722422C164705383 @default.
- W3212722422 hasConceptScore W3212722422C177713679 @default.
- W3212722422 hasConceptScore W3212722422C2778789114 @default.
- W3212722422 hasConceptScore W3212722422C33923547 @default.
- W3212722422 hasConceptScore W3212722422C61434518 @default.
- W3212722422 hasConceptScore W3212722422C71924100 @default.
- W3212722422 hasIssue "1" @default.
- W3212722422 hasLocation W32127224221 @default.
- W3212722422 hasLocation W32127224222 @default.
- W3212722422 hasOpenAccess W3212722422 @default.
- W3212722422 hasPrimaryLocation W32127224221 @default.
- W3212722422 hasRelatedWork W1988036992 @default.
- W3212722422 hasRelatedWork W2007949869 @default.
- W3212722422 hasRelatedWork W2019250753 @default.
- W3212722422 hasRelatedWork W2083909235 @default.
- W3212722422 hasRelatedWork W2325973287 @default.
- W3212722422 hasRelatedWork W2466043692 @default.
- W3212722422 hasRelatedWork W2889237311 @default.
- W3212722422 hasRelatedWork W3208701539 @default.
- W3212722422 hasRelatedWork W4313346385 @default.
- W3212722422 hasRelatedWork W4317816533 @default.
- W3212722422 hasVolume "36" @default.
- W3212722422 isParatext "false" @default.
- W3212722422 isRetracted "false" @default.
- W3212722422 magId "3212722422" @default.
- W3212722422 workType "article" @default.