Statins and New-Onset Diabetes Mellitus and Diabetic Complications: A Retrospective Cohort Study of US Healthy Adults

Journal of General Internal Medicine

Volumn 30, Issue 11, 2015, Pages 1599-1610

  Mansi, Ishak ^a,b   Frei, Christopher R ^c,d   Wang, Chen Pin ^d   Mortensen, Eric M ^a,b  

^a VA North Texas Health Care System   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^d UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

Author keywords

Adverse events; Diabetes; Diabetic complications; Observational study; Overweight obesity; Primary prevention; Satins

Indexed keywords

ATORVASTATIN; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR; PRAVASTATIN; ROSUVASTATIN; SIMVASTATIN;

ADULT; AGED; ARTICLE; COHORT ANALYSIS; COMORBIDITY; CONTROLLED STUDY; DIABETES MELLITUS; DISEASE ASSOCIATION; FEMALE; FOLLOW UP; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; OBESITY; OUTCOME ASSESSMENT; OUTPATIENT; PROPENSITY SCORE; RETROSPECTIVE STUDY; SECONDARY ANALYSIS; SENSITIVITY ANALYSIS; CHEMICALLY INDUCED; DIABETES COMPLICATIONS; DIABETES MELLITUS, TYPE 2; DRUG UTILIZATION; OVERWEIGHT; PRIMARY PREVENTION; PROCEDURES; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA; TEXAS; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; COMORBIDITY; DIABETES COMPLICATIONS; DIABETES MELLITUS, TYPE 2; DRUG UTILIZATION; FEMALE; HUMANS; HYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS; MALE; MIDDLE AGED; OBESITY; OVERWEIGHT; PRIMARY PREVENTION; PROPENSITY SCORE; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; TEXAS;

EID: 84945470638     PISSN: 08848734     EISSN: 15251497     Source Type: Journal    
DOI: 10.1007/s11606-015-3335-1     Document Type: Article

References (80)

1. Sattar N, Preiss D, Murray HM, et al. Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials. Lancet. 2010;375:735–42.
2. Sugiyama T, Tsugawa Y, Tseng CH, Kobayashi Y, Shapiro MF. Different time trends of caloric and fat intake between statin users and nonusers among us adults: gluttony in the time of statins? JAMA Intern Med. 2014;174:1038–45.
3. Redberg RF. Statins and weight gain. JAMA Intern Med. 2014;174:1046.
4. Nakata M, Nagasaka S, Kusaka I, Matsuoka H, Ishibashi S, Yada T. Effects of statins on the adipocyte maturation and expression of glucose transporter 4 (SLC2A4): implications in glycaemic control. Diabetologia. 2006;49:1881–92.
5. Colhoun HM, Betteridge DJ, Durrington PN, et al. Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the collaborative atorvastatin diabetes study (CARDS): multicentre randomised placebo-controlled trial. Lancet. 2004;364:685–96.
6. Holman RR, Paul S, Farmer A, et al. Atorvastatin in factorial with omega-3 EE90 risk reduction in diabetes (AFORRD): a randomised controlled trial. Diabetologia. 2009;52:50–9.
7. Liew SM, Lee PY, Hanafi NS, et al. Statins use is associated with poorer glycaemic control in a cohort of hypertensive patients with diabetes and without diabetes. Diabetol Metab Syndr. 2014;6:53.
8. Sukhija R, Prayaga S, Marashdeh M, et al. Effect of statins on fasting plasma glucose in diabetic and nondiabetic patients. J Investig Med. 2009;57:495–9.
9. Sever PS, Dahlof B, Poulter NR, et al. Prevention of coronary and stroke events with atorvastatin in hypertensive patients who have average or lower-than-average cholesterol concentrations, in the anglo-scandinavian cardiac outcomes trial--lipid lowering arm (ASCOT-LLA): a multicentre randomised controlled tria. Lancet. 2003;361:1149–58.
10. Officers A, Coordinators for the ACRGTA, Lipid-Lowering Treatment to Prevent Heart Attack T. Major outcomes in moderately hypercholesterolemic, hypertensive patients randomized to pravastatin vs usual care: the antihypertensive and lipid-lowering treatment to prevent heart attack trial (ALLHAT-LLT). JAMA. 2002;288:2998–3007.
11. Shepherd J, Cobbe SM, Ford I, et al. Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. West of Scotland coronary prevention study group. N Engl J Med. 1995;333:1301–7.
12. Ridker PM, Pradhan A, MacFadyen JG, Libby P, Glynn RJ. Cardiovascular benefits and diabetes risks of statin therapy in primary prevention: an analysis from the JUPITER trial. Lancet. 2012;380:565–71.
13. Guide for DoD Researchers on Using MHS Data. Office of the Assistant Secretary of Defense for Health Affairs (OSAD(HA)) TRICARE Management Activity (TMA) Human Research Protection Program (HRPP). October 10, 2012. available at: http://www.tricare.mil/tma/privacy/hrpp (last accessed March 16, 2015).
14. Luhrman S, Lehr E, Hefflin C, Saund N. Interface Control Document Describing the Case Management Exchange from BEA to MDR and M2 Baseline. DHSS program management. August 18, 2008 ed. Falls Church, VA DHSS; 2008.
15. Clinical Classifications Software (CCS) for ICD-9-CM [database on the Internet]. U.S. Agency for Healthcare Research and Quality. 2012 [cited 01/01/2012]. Available from: http://www.hcup-us.ahrq.gov/toolssoftware/ccs/ccs.jsp (last accessed March 16, 2015).
16. Selim AJ, Fincke G, Ren XS, et al. Comorbidity assessments based on patient report: results from the veterans health study. J Ambul Care Manag. 2004;27:281–95.
17. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613–9.
18. Stone NJ, Robinson JG, Lichtenstein AH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129:S1–45.
19. Cowen ME, Dusseau DJ, Toth BG, Guisinger C, Zodet MW, Shyr Y. Casemix adjustment of managed care claims data using the clinical classification for health policy research method. Med Care. 1998;36:1108–13.
20. Duffy S, Elixhauser A, Sommers J. Diagnosis and procedure combinations in hospital inpatient data. Healthcare Cost and Utilization Project (HCUP 3) Research Note 5. Rockville, MD: Agency for Health Care Policy and Research; 1996. AHCPR Pub. No. 96–0047. 1996.
21. Elixhauser A, McCarthy E. Clinical classifications for health policy research, version 2: Hospital inpatient statistics. Healthcare Cost and Utilization Project (HCUP 3) Research Note 1. Rockville, MD: Agency for Health Care Policy and Research; 1996. AHCPR Pub. No. 96 0017. 1996.
22. Elixhauser A, Steiner C, Whittington C. Clinical classifications for health policy research: Hospital inpatient statistics, 1995. Healthcare Cost and Utilization Project, HCUP 3 Research Note. Rockville, MD: Agency for Health Care Policy and Research; 1998. AHCPR Pub. No. 98–0049. 1998.
23. Elixhauser A, Steiner C. Healthcare Cost and Utilization Project (HCUP) Research Note. Rockville, MD: Agency for Health Care Policy and Research; 1999. AHCPR Pub. No. 99–0034. 1999.
24. Mansi I, Frei CR, Pugh MJ, Makris U, Mortensen EM. Statins and musculoskeletal conditions, arthropathies, and injuries. JAMA Intern Med. 2013;173:1–10.
25. Mansi I, Frei CR, Pugh MJ, Mortensen EM. Psychologic disorders and statin use: a propensity score-matched analysis. Pharmacotherapy. 2013;33:615–26.
26. Thompson DA, Makary MA, Dorman T, Pronovost PJ. Clinical and economic outcomes of hospital acquired pneumonia in intra-abdominal surgery patients. Ann Surg. 2006;243:547–52.
27. Lilly SM, Mortensen EM, Frei CR, Pugh MJ, Mansi IA. Comparison of the risk of psychological and cognitive disorders between persistent and nonpersistent statin users. Am J Cardiol. 2014;114:1035–9.
28. Leuschen J, Mortensen EM, Frei CR, Mansi EA, Panday V, Mansi I. Association of statin use with cataracts: a propensity score–matched analysis. JAMA Ophthalmol. 2013;131:1427–34.
29. Liu M, McPeek Hinz ER, Matheny ME, et al. Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. J Am Med Inform Assoc. 2013;20:420–6.
30. Radley DC, Gottlieb DJ, Fisher ES, Tosteson AN. Comorbidity risk-adjustment strategies are comparable among persons with hip fracture. J Clin Epidemiol. 2008;61:580–7.
31. Ash AS, Posner MA, Speckman J, Franco S, Yacht AC, Bramwell L. Using claims data to examine mortality trends following hospitalization for heart attack in medicare. Health Serv Res. 2003;38:1253–62.
32. Robinson JW. Regression tree boosting to adjust health care cost predictions for diagnostic mix. Health Serv Res. 2008;43:755–72.
33. Bynum JP, Rabins PV, Weller W, Niefeld M, Anderson GF, Wu AW. The relationship between a dementia diagnosis, chronic illness, medicare expenditures, and hospital use. J Am Geriatr Soc. 2004;52:187–94.
34. Chou LF. Estimating medical costs of gastroenterological diseases. World J Gastroenterol. 2004;10:273–8.
35. Cowen ME, Strawderman RL. Quantifying the physician contribution to managed care pharmacy expenses: a random effects approach. Med Care. 2002;40:650–61.
36. Cook CB, Tsui C, Ziemer DC, Naylor DB, Miller WJ. Common reasons for hospitalization among adult patients with diabetes. Endocr Pract. 2006;12:363–70.
37. Fogerty MD, Abumrad NN, Nanney L, Arbogast PG, Poulose B, Barbul A. Risk factors for pressure ulcers in acute care hospitals. Wound Repair Regen. 2008;16:11–8.
38. Washington R, Andrews R, Mutter R. Emergency Department Visits for Adults with Diabetes, 2010. HCUP Statistical Brief #167. November 2013. Agency for Healthcare Research and Quality, Rockville, MD. Available at http://www.hcup-us.ahrq.gov/reports/statbriefs/sb167.pdf (last accessed March 16, 2015).
39. Wier L, Witt E, Burgess J, Elixhauser A. Hospitalizations Related to Diabetes in Pregnancy, 2008. HCUP Statistical Brief #102. December 2010. Agency for Healthcare Research and Quality, Rockville, MD. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb102.pdf (last accessed March 16, 2015).
40. One in 16 Women Hospitalized for Childbirth Has Diabetes: AHRQ News and Numbers, December 15, 2010. December 2010. Agency for Healthcare Research and Quality, Rockville, MD. http://archive.ahrq.gov/news/newsroom/news-and-numbers/121510.html (last accessed March 16, 2015).
41. Fraze T, Jiang H, Burgess J. Hospital Stays for Patients with Diabetes, 2008. HCUP Statistical Brief #93. August 2010. Agency for Healthcare Research and Quality, Rockville, MD. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb93.pdf (last accessed March 16, 2015).
42. Hines A, Barrett M, Jiang H, Steiner C. Conditions With the Largest Number of Adult Hospital Readmissions by Payer, 2011. HCUP Statistical Brief #172. April 2014. Agency for Healthcare Research and Quality, Rockville, MD. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb172-Conditions-Readmissions-Payer.pdf (last accessed March 16, 2015).
43. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27.
44. Li B, Evans D, Faris P, Dean S, Quan H. Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases. BMC Health Serv Res. 2008;8:12.
45. Quan H, Li B, Saunders LD, et al. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43:1424–41.
46. Miller DR, Safford MM, Pogach LM. Who has diabetes? Best estimates of diabetes prevalence in the Department of Veterans Affairs based on computerized patient data. Diabetes Care. 2004;27(Suppl 2):B10–21.
47. Memtsoudis SG, Bombardieri AM, Ma Y, Walz JM, Chiu YL, Mazumdar M. Mortality of patients with respiratory insufficiency and adult respiratory distress syndrome after surgery: the obesity paradox. J Intensive Care Med. 2012;27:306–11.
48. Scott SK, Rabito FA, Price PD, et al. Comorbidity among the morbidly obese: a comparative study of 2002 U.S. hospital patient discharges. Surg Obes Relat Dis. 2006;2:105–11.
49. Vila-Corcoles A, Ochoa-Gondar O, Llor C, Hospital I, Rodriguez T, Gomez A. Protective effect of pneumococcal vaccine against death by pneumonia in elderly subjects. Eur Respir J. 2005;26:1086–91.
50. Allareddy V, Rampa S, Anamali S, Lee MK, Allareddy V, Nalliah RP. Obesity and its association with comorbidities and hospital charges among patients hospitalized for dental conditions. J Investig Clin Dent. 2015.
51. Wier L, Encinosa W. Obesity in Children: Hospitalizations from 2000 to 2009. HCUP Statistical Brief #138. July 2012. Agency for Healthcare Research and Quality, Rockville, MD. Available at http://www.hcup-us.ahrq.gov/reports/statbriefs/sb138.pdf (last accessed March 16, 2015).
52. Weiss A, Elixhauser A. Obesity-Related Hospitalizations, 2004 versus 2009. HCUP Statistical Brief #137. July 2012. Agency for Healthcare Research and Quality. Rockville, MD. Available at http://www.hcup-us.ahrq.gov/reports/statbriefs/sb137.pdf (last accessed March 16, 2015).
53. Elixhauser A, Steiner C. Obese Patients in U.S. Hospitals, 2004. HCUP Statistical Brief #20. December 2006. Agency for Healthcare Research and Quality, Rockville, MD. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb20.pdf (last accessed March 16, 2015).
54. Goff SL, Pekow PS, Markenson G, Knee A, Chasan-Taber L, Lindenauer PK. Validity of using ICD-9-CM codes to identify selected categories of obstetric complications, procedures and co-morbidities. Paediatr Perinat Epidemiol. 2012;26:421–9.
55. FDA Drug Safety Communication: New restrictions, contraindications, and dose limitations for Zocor (simvastatin) to reduce the risk of muscle injury. 2011. Available at: http://www.fda.gov/Drugs/DrugSafety/ucm256581.htm. (last accessed March 16, 2015).
56. Becker S, Ichino A. Estimation of average treatment effects based on propensity scores. Stata J. 2002;2:358–77.
57. Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Version 4.0.5 ed2003.
58. National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2014. US Department of Health and Human Services; Centers for Disease Control and Prevention. 2014. Available at: http://www.cdc.gov/diabetes/pubs/statsreport14.htm (last accessed March 16, 2015). 2014.
59. Dormuth CR, Filion KB, Paterson JM, et al. Higher potency statins and the risk of new diabetes: multicentre, observational study of administrative databases. BMJ. 2014;348:g3244.
60. Rothman KJ. Six persistent research misconceptions. J Gen Intern Med. 2014;29:1060–4.
61. Ruscica M, Macchi C, Morlotti B, Sirtori CR, Magni P. Statin therapy and related risk of new-onset type 2 diabetes mellitus. Eur J Intern Med. 2014;25:401–6.
62. Culver AL, Ockene IS, Balasubramanian R, et al. Statin use and risk of diabetes mellitus in postmenopausal women in the Women’s Health Initiative. Arch Intern Med. 2012;172:144–52.
63. Chen CW, Chen TC, Huang KY, Chou P, Chen PF, Lee CC. Differential impact of statin on new-onset diabetes in different age groups: a population-based case-control study in women from an asian country. PLoS ONE. 2013;8:e71817.
64. Currie O, Mangin D, Williman J, McKinnon-Gee B, Bridgford P. The comparative risk of new-onset diabetes after prescription of drugs for cardiovascular risk prevention in primary care: a national cohort study. BMJ Open. 2013;3(11):e003475.
65. Preiss D, Seshasai SR, Welsh P, et al. Risk of incident diabetes with intensive-dose compared with moderate-dose statin therapy: a meta-analysis. JAMA. 2011;305:2556–64.
66. Nielsen SF, Nordestgaard BG. Statin use before diabetes diagnosis and risk of microvascular disease: a nationwide nested matched study. Lancet Diabetes Endocrinol. 2014;2:894–900.
67. Gordon B, Chang S, Kavanagh M, et al. The effects of lipid lowering on diabetic retinopathy. Am J Ophthalmol. 1991;112:385–91.
68. Sen K, Misra A, Kumar A, Pandey RM. Simvastatin retards progression of retinopathy in diabetic patients with hypercholesterolemia. Diabetes Res Clin Pract. 2002;56:1–11.
69. Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81.
70. Aguirre L, Hijona E, Macarulla MT, et al. Several statins increase body and liver fat accumulation in a model of metabolic syndrome. J Physiol Pharmacol. 2013;64:281–8.
71. Lee DS, Markwardt S, Goeres L, et al. Statins and physical activity in older men: the osteoporotic fractures in men study. JAMA Intern Med. 2014;174:1263–70.
72. Maki KC, Ridker PM, Brown WV, Grundy SM, Sattar N. An assessment by the statin diabetes safety task force: 2014 update. J Clin Lipidol. 2014;8:S17–29.
73. Swerdlow DI, Preiss D, Kuchenbaecker KB, et al. HMG-coenzyme a reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet. 2015;385:351–61.
74. Frayling TM. Statins and type 2 diabetes: genetic studies on target. Lancet. 2015;385:310–2.
75. Cook NR, Ridker PM. Further insight into the cardiovascular risk calculator: the roles of statins, revascularizations, and underascertainment in the Women’s Health Study. JAMA Intern Med. 2014;174:1964–71.
76. Haddock CK, Poston WS, Klesges RC, Talcott GW, Lando H, Dill PL. An examination of body weight standards and the association between weight and health behaviors in the United States Air Force. Mil Med. 1999;164:51–4.
77. Ode JJ, Pivarnik JM, Reeves MJ, Knous JL. Body mass index as a predictor of percent fat in college athletes and nonathletes. Med Sci Sports Exerc. 2007;39:403–9.
78. Teng JF, Gomes T, Camacho X, Grundy S, Juurlink DN, Mamdani MM. Impact of the JUPITER trial on statin prescribing for primary prevention. Pharmacotherapy. 2014;34:9–18.
79. Bazalo GR. Managed care trends in statin usage. Manag Care. 2001;10:48–50.
80. McNutt LA, Wu C, Xue X, Hafner JP. Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol. 2003;157:940–3.