Abstract
Introduction
Sparse data are available on long-term patient mortality following bariatric surgery as compared to the general population. The purpose of this study was to assess long-term mortality rates and identify risk factors for all-cause mortality following bariatric surgery.
Methods
New York State (NYS) Planning and Research Cooperative System (SPARCS) longitudinal administrative data were used to identify 7,862 adult patients who underwent a primary laparoscopic bariatric surgery from 1999 to 2005. The Social Security Death Index database identified >30-day mortalities. Risk factors for mortality were screened using a univariate Cox proportional hazard (PH) model and analyzed using a multiple PH model. Based on age, gender, and race/ethnicity, actuarial projections for NYS mortality rates obtained from Centers of Disease Control were compared to the actual post-bariatric surgery mortality rates observed.
Results
The mean bariatric mortality rate was 2.5 % with 8–14 years of follow-up. Mean time to death ranged from 4 to 6 year and did not differ by operation (p = 0.073). From 1999 to 2010, the actuarial mortality rate predicted for the general NYS population was 2.1 % versus the observed 1.5 % for the bariatric surgery population (p = 0.005). Extrapolating to 2013, demonstrated the actuarial mortality predictions at 3.1 % versus the bariatric surgery patients’ observed morality rate of 2.5 % (p = 0.01). Risk factors associated with an earlier time to death included: age, male gender, Medicare/Medicaid insurance, congestive heart failure, rheumatoid arthritis, pulmonary circulation disorders, and diabetes. No procedure-specific or perioperative complication impact for time-to-death was found.
Conclusion
Long-term mortality rate of patients undergoing bariatric surgery significantly improves as compared to the general population regardless of bariatric operation performed. Additionally, perioperative complications do not increase long-term mortality risk. This study did identify specific patient risk factors for long-term mortality. Special attention and consideration should be given to these “at risk” patient sub-populations.
Similar content being viewed by others
References
Ogden CL, Carroll MD, Kit BK, Flegal KM (2012) Prevalence of Obesity in the United States, 2009–2010. NCHS Data Brief 82:1–8
Flegal KM, Graubard B, Williamson DF, Gail MH (2007) Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA 28(17):2028–2037
Jee SH, Sull J, Park J et al (2006) Body mass index and mortality in Korean men and women. N Engl J Med 355:779–787
Adams KF, Schatzkin A, Harris TB et al (2006) Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med 355:763–778
Yan LL, Daviglus M, Liu K et al (2006) Midlife body mass index and hospitalization and mortality in order age. JAMA 296:190–198
Graubard B et al (2013) Association of all-cause mortality with overweight and obesity using standard body mass index categories, a systematic review and meta-analysis. JAMA 309(1):71–82
Sjostrom L, Peltonen M, Jacobson P et al (2012) Bariatric surgery and lot-term cardiovascular events. JAMA 307(1):56–65
Sjostrom L, Narbro K, Sjostrom CD et al (2007) Swedish Obese Subjects Study. Effects of bariatric surgery on Mortality in Swedish obese subjects. N Engl J Med 357(8):741–752
Christou NV, Sampalis J, Liberman M et al (2004) Surgery decreases long-term mortality, morbidity, and health care use in morbidly obese patients. Ann Surg 240:416–423
Ballantyne GH (2003) Measuring outcomes following bariatric surgery: weight loss parameters, improvement in co-morbid conditions, change in quality of life and patient satisfaction. Obes Surg 13:954
Schauer PR, Kashyap SR, Wolski K et al (2012) Bariatric surgery versus intensive medical therapy in obese patients with diabetes. N Engl J Med 366:1567
Elixhauser A, Syeiner C, Harris D (1998) Co-morbidity measures for use with administrative data. Med Care 36:8–27
Social security death index. http://www.socialsecurity.gov/edds/EDR/EDRindex.htm
CDC Wonder website. http://wonder.cdc.gov/controller/datarequest/D76
Gao L, Matthews FE, Sargeant LA, Brayne C, CFAS MRC (2008) An investigation of the population impact of variation in HbA1c levels in older people in England and Wales: from a population based multi-centre longitudinal study. BMC Public Health 11(8):54
Hu G, Qiao Q, Tuomilehto J et al (2004) Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med 164:1066–1076
De Cosmo S, Copetti M, Lamacchia O, Fontana A, Massa M, Morini E, Pacilli A, Fariello S, Palena A, Rauseo A, Viti R, Di Paola R, Menzaghi C, Cignarelli M, Pellegrini F, Trischitta V (2013) Development and validation of a predicting model of all-cause mortality in patients with type 2 diabetes. Diabetes Care 36(9):2830–2835
Adams TD, Gress RE, Smith SC, Halverson RC, Simper SC, Rosamond WD, Lemonte MJ, Stroup AM, Hunt AC (2007) Long-term mortality after gastric bypass surgery. N Engl J Med 357(8):753–761
Nguyen NT, Masoomi H, Laugenour K et al (2011) Predictive factors of mortality in bariatric surgery: data from the National Inpatient Sample. Surgery 150:347–351
Finks JF, Kole KL, Yenumula PR et al (2011) Predicting risk for serious complications with bariatric surgery: results from the Michigan Bariatric Surgery Collaborative. Ann Surg 254:633–640
DeMaria EJ, Murr M, Byrne TK, Blackstone R, Grant JP, Budak A, Wolfe L (2007) Validation of the obesity surgery mortality risk score in a multicenter study proves it stratifies mortality risk in patients undergoing gastric bypass for morbid obesity. Ann Surg 246(4):578–582
Ramanan B, Gupta PK, Gupta H, Fang X, Forse RA (2012) Development and validation of a bariatric surgery mortality risk calculator. J Am Coll Surg 214(6):892–900
Acknowledgments
We acknowledge the biostatistical consultation and support from the Biostatistical Consulting Core at the School of Medicine, Stony Brook University. We would also like to acknowledge Genia Dubrovsky BS, Lily Wang BA, and Richa Verma MD for assistance with data collection. And finally, Foster Gesten MD, Wendy Patterson MPH, and Brittany Peoples MS from the Office of Quality and Patient Safety in the New York State Department of Health in Albany, New York for assistance with data identification and extraction.
Disclosures
Drs. Talamini, Shroyer, Altieri and Yang and Mrs. Zhang have no financial disclosures. Dana A. Telem—Speaker for Novadaq and receives funding from the Fellowship Council. Aurora D. Pryor—has an ownership interest in Transenterix. She also is a speaker for and has research support from Novadaq. She receives fellowship funding from the Fellowship Council and is a consultant for Freehold Medical.
Author information
Authors and Affiliations
Corresponding author
Additional information
Presented at the SAGES 2014 Annual Meeting, April 2–5, 2014, Salt Lake City, Utah.
Rights and permissions
About this article
Cite this article
Telem, D.A., Talamini, M., Laurie Shroyer, A. et al. Long-term mortality rates (>8-year) improve as compared to the general and obese population following bariatric surgery. Surg Endosc 29, 529–536 (2015). https://doi.org/10.1007/s00464-014-3714-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00464-014-3714-4