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Nowrouzi R, Sylvester CB, Treffalls JA, Zhang Q, Rosengart TK, Coselli JS, Moon MR, Ghanta RK, Chatterjee S. Chronic kidney disease, risk of readmission, and progression to end-stage renal disease in 519,387 patients undergoing coronary artery bypass grafting. JTCVS Open 2022; 12:147-157. [PMID: 36590720 PMCID: PMC9801293 DOI: 10.1016/j.xjon.2022.08.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 08/06/2022] [Accepted: 08/29/2022] [Indexed: 01/04/2023]
Abstract
Objective The association between chronic kidney disease and adverse outcomes after coronary artery bypass grafting is well established; in contrast, the association between chronic kidney disease and readmission has been less thoroughly investigated. We hypothesized that patients at higher chronic kidney disease stages have greater risk of readmission, poorer operative outcomes, and greater hospitalization cost. Methods Using the 2016-2018 Nationwide Readmissions Database, we identified 519,387 patients who underwent isolated coronary artery bypass grafting. Patients were stratified by chronic kidney disease stage based on International Classification of Diseases 10th Revision classification. Multivariable logistic regression was used to assess risk factors for in-hospital mortality and 90-day readmission. Results Hospital readmission, in-hospital mortality, and cost progressively increased with worsening chronic kidney disease stage; patients with end-stage renal disease had the highest in-hospital mortality rate (7.2%), hospitalization costs ($59,616) (P < .001), and 90-day readmission rate (40%) (P < .001). Chronic kidney disease stage greater than 3 was associated with in-hospital mortality (odds ratio, 1.56, 95% confidence interval, 1.40-1.73; P < .001) and 90-day readmission (odds ratio, 1.66, 95% confidence interval, 1.56-1.76; P < .001). At 30 days after discharge, new-onset dialysis dependence was more frequent in patients readmitted with chronic kidney disease 4 to 5 (8.9%; n = 1495) than in patients with chronic kidney disease 1 to 3 (1.4%; n = 8623) and patients without chronic kidney disease (0.3%; n = 38,885). At 90 days after discharge, dialysis dependence increased to 11.1% (n = 1916) in readmitted patients with chronic kidney disease 4 to 5 but remained stable for patients with chronic kidney disease 1 to 3 (1.4%; n = 10,907) and patients without chronic kidney disease (0.3%; n = 50,200). Conclusions Chronic kidney disease stage is strongly associated with mortality, new-onset dialysis dependence, readmission, and higher cost after coronary artery bypass grafting. Patients with chronic kidney disease 4 and 5 and patients with end-stage renal disease are readmitted at the highest rates. Although further research is needed, a targeted approach may reduce costly readmissions and improve outcomes after coronary artery bypass grafting in patients with chronic kidney disease.
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Key Words
- CABG, coronary artery bypass grafting
- CI, confidence interval
- CKD, chronic kidney disease
- ESRD, end-stage renal disease
- ICD-10, International Classification of Diseases, Tenth Revision
- ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification
- LOS, length of stay
- NRD, National Readmissions Database
- coronary artery bypass grafting
- end-stage renal disease
- kidney disease
- national readmissions database
- readmissions
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Affiliation(s)
- Ryan Nowrouzi
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Christopher B. Sylvester
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex,Medical Scientist Training Program, Baylor College of Medicine, Houston, Tex
| | - John A. Treffalls
- Long School of Medicine, University of Texas Health San Antonio, San Antonio, Tex
| | - Qianzi Zhang
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Todd K. Rosengart
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex,Texas Heart Institute, Houston, Tex
| | - Joseph S. Coselli
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex,Texas Heart Institute, Houston, Tex
| | - Marc R. Moon
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex,Texas Heart Institute, Houston, Tex
| | - Ravi K. Ghanta
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex,Texas Heart Institute, Houston, Tex
| | - Subhasis Chatterjee
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex,Texas Heart Institute, Houston, Tex,Address for reprints: Subhasis Chatterjee, MD, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, One Baylor Plaza, MS 390, Houston, TX 77030.
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2
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Haight SC, Yoon J, Luck J, Harvey M, Shapiro-Mendoza C, Li R, Ko JY. Medicaid expansion in Oregon and postpartum healthcare among people with and without prenatal substance use disorder. Drug Alcohol Depend Rep 2022; 5:100096. [PMID: 36844171 PMCID: PMC9948908 DOI: 10.1016/j.dadr.2022.100096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 10/14/2022]
Abstract
Background People with a maternal substance use disorder (SUD) may experience a lack of access to necessary healthcare and more specifically, postpartum healthcare. It is not known whether increased insurance coverage introduced by Medicaid expansion has improved postpartum healthcare utilization among this population. Methods Oregon 2008-2016 birth certificates and Medicaid claims were used to examine whether continuous insurance enrollment and postpartum healthcare utilization increased post-Medicaid expansion in a population with and without SUD (n = 9,337). International Classification of Diseases codes were used to identify deliveries, SUD, and postpartum healthcare. Univariable and multivariable generalized linear regression with standard errors clustered by individual were used to estimate the association between Medicaid expansion and postpartum healthcare utilization, stratified by maternal SUD. Results Among the 10.3% with SUD, expansion was not associated with increased continuous enrollment or postpartum healthcare utilization. Among those without SUD, post-expansion deliveries were associated with increased continuous enrollment (+105.0 days; 95% CI=96.9-113.2), total (+4.4; 95% CI=2.9-6.0), postpartum (+0.3; 95% CI=0.2-0.4), inpatient (+0.9; 95% CI=0.7-1.1), outpatient (+2.3; 95% CI=1.4-3.3), office (+0.9; 95% CI=0.2-1.6), and emergency department (+0.3; 95% CI=0.1-0.5) visits. Among deliveries to postpartum people with SUD, 27.2% had opioid use disorder (OUD); expansion was associated with increased OUD medication use (12.0% vs 18.3%) and number of fills (6.7 vs 16.6). Conclusions Medicaid expansion in Oregon was only associated with increased Medicaid-financed healthcare utilization for postpartum people without SUD, with the exception of those with OUD, demonstrating the need for assessing various strategies to improve postpartum healthcare utilization.
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Key Words
- CI, confidence interval
- CPT, current procedural terminology
- Healthcare utilization
- ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification
- ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification
- Medicaid expansion
- NDC, national drug codes
- Opioid use disorder
- Postpartum
- SUD, substance use disorder
- Substance use disorder
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Affiliation(s)
- Sarah C. Haight
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States,Corresponding author.
| | - Jangho Yoon
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Jeff Luck
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Marie Harvey
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Carrie Shapiro-Mendoza
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Rui Li
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Jean Y. Ko
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States,United States Public Health Service, Commissioned Corps, Rockville, MD, United States
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Treffalls JA, Sylvester CB, Parikh U, Zea-Vera R, Ryan CT, Zhang Q, Rosengart TK, Wall MJ, Coselli JS, Chatterjee S, Ghanta RK. Nationwide database analysis of one-year readmission rates after open surgical or thoracic endovascular repair of Stanford Type B aortic dissection. JTCVS Open 2022; 11:1-13. [PMID: 36172436 PMCID: PMC9510909 DOI: 10.1016/j.xjon.2022.07.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE We examined readmissions and resource use during the first postoperative year in patients who underwent thoracic endovascular aortic repair or open surgical repair of Stanford type B aortic dissection. METHODS The Nationwide Readmissions Database (2016-2018) was queried for patients with type B aortic dissection who underwent thoracic endovascular aortic repair or open surgical repair. The primary outcome was readmission during the first postoperative year. Secondary outcomes included 30-day and 90-day readmission rates, in-hospital mortality, length of stay, and cost. A Cox proportional hazards model was used to determine risk factors for readmission. RESULTS During the study period, type B aortic dissection repair was performed in 6456 patients, of whom 3517 (54.5%) underwent thoracic endovascular aortic repair and 2939 (45.5%) underwent open surgical repair. Patients undergoing thoracic endovascular aortic repair were older (63 vs 59 years; P < .001) with fewer comorbidities (Elixhauser score of 11 vs 17; P < .001) than patients undergoing open surgical repair. Thoracic endovascular aortic repair was performed electively more often than open surgical repair (29% vs 20%; P < .001). In-hospital mortality was 9% overall and lower in the thoracic endovascular aortic repair cohort than in the open surgical repair cohort (5% vs 13%; P < .001). However, the 90-day readmission rate was comparable between the thoracic endovascular aortic repair and open surgical repair cohorts (28% vs 27%; P = .7). Freedom from readmission for up to 1 year was also similar between cohorts (P = .6). Independent predictors of 1-year readmission included length of stay more than 10 days (P = .005) and Elixhauser comorbidity risk index greater than 4 (P = .033). CONCLUSIONS Approximately one-third of all patients with type B aortic dissection were readmitted within 90 days after aortic intervention. Surprisingly, readmission during the first postoperative year was similar in the open surgical repair and thoracic endovascular aortic repair cohorts, despite marked differences in preoperative patient characteristics and interventions.
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Key Words
- AHRQ, Agency for Healthcare Research and Quality
- CI, confidence interval
- HR, hazard ratio
- ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification
- IQR, interquartile range
- LOS, length of stay
- NRD, Nationwide Readmissions Database
- OSR, open surgical repair
- TBAD, type B aortic dissection
- TEVAR, thoracic endovascular aortic repair
- nationwide readmissions database
- readmissions
- thoracic endovascular aortic repair
- thoracoabdominal aortic dissection
- type B aortic dissection
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Affiliation(s)
- John A. Treffalls
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Tex
| | - Christopher B. Sylvester
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Bioengineering, Rice University, Houston, Tex
- Medical Scientist Training Program, Baylor College of Medicine, Houston, Tex
| | - Umang Parikh
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Rodrigo Zea-Vera
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Christopher T. Ryan
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Qianzi Zhang
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Todd K. Rosengart
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
| | - Matthew J. Wall
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
| | - Joseph S. Coselli
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
| | - Subhasis Chatterjee
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
| | - Ravi K. Ghanta
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex
- Department of Cardiovascular Surgery, Texas Heart Institute, Houston, Tex
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Vallabhajosyula S, Payne SR, Jentzer JC, Sangaralingham LR, Kashani K, Shah ND, Prasad A, Dunlay SM. Use of Post-Acute Care Services and Readmissions After Acute Myocardial Infarction Complicated by Cardiac Arrest and Cardiogenic Shock. Mayo Clin Proc Innov Qual Outcomes 2021; 5:320-329. [PMID: 33997631 PMCID: PMC8105498 DOI: 10.1016/j.mayocpiqo.2020.12.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023] Open
Abstract
OBJECTIVE To evaluate post-acute care utilization and readmissions after cardiac arrest (CA) and cardiogenic shock (CS) complicating acute myocardial infarction (AMI). METHODS With use of an administrative claims database, AMI patients from January 1, 2010, to May 31, 2018, were stratified into CA+CS, CA only, CS only, and AMI alone. Outcomes included 90-day post-acute care (inpatient rehabilitation or skilled nursing facility) utilization and 1-year emergency department visits and readmissions. RESULTS Of 163,071 AMI patients, CA+CS, CA only, and CS only were noted in 3965 (2.4%), 8221 (5.0%), and 6559 (4.0%), respectively. In-hospital mortality was noted in 10,686 (6.6%) patients: CA+CS, 1935 (48.8%); CA only, 2948 (35.9%); CS only, 1578 (24.1%); and AMI alone, 4225 (2.9%) (P<.001). Among survivors, post-acute care services were used in 67,799 (44.5%), with higher use in the CS+CA cohort (1310 [64.6%]; hazard ratio [HR], 1.19; 95% CI, 1.06 to 1.33; P=.003) and CA cohort (2738 [51.9%]; HR, 1.27; 95% CI, 1.20 to 1.35; P<.001) but not in the CS cohort (3048 [61.2%]; HR, 1.03; 95% CI, 0.97 to 1.11; P=.35) compared with the AMI cohort (60,703 [43.3%]). Compared with the AMI cohort (48,990 [35.0%]), patients with CS only (2,085 [41.9%]; HR, 1.16; 95% CI, 1.10 to 1.22; P<.001) but not those with CA+CS (724 [35.7%]; HR, 1.07; 95% CI, 0.98 to 1.17; P=.14) had higher rates of readmissions (P=.03). Readmissions were lower in those with CA (1,590 [30.2%]; HR, 0.94; 95% CI, 0.89 to 0.99). Repeated AMI, coronary artery disease, and heart failure were the most common readmission reasons. There were no differences for emergency department visits. CONCLUSION CA is associated with increased post-acute care use, whereas CS is associated with increased readmission risk in AMI survivors.
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Key Words
- AMI, acute myocardial infarction
- CA, cardiac arrest
- CS, cardiogenic shock
- ED, emergency department
- HR, hazard ratio
- ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification
- ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification
- MCS, mechanical circulatory support
- PCI, percutaneous coronary intervention
- SNF, skilled nursing facility
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Affiliation(s)
- Saraschandra Vallabhajosyula
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
- Center for Clinical and Translational Science, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN
| | - Stephanie R. Payne
- Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN
| | - Jacob C. Jentzer
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Lindsey R. Sangaralingham
- Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN
| | - Kianoush Kashani
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Nilay D. Shah
- Department of Health Services Research, Mayo Clinic, Rochester, MN
- Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN
- OptumLabs, Cambridge, MA
| | - Abhiram Prasad
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Shannon M. Dunlay
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Department of Health Services Research, Mayo Clinic, Rochester, MN
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Walsh TL, Taffe K, Sacca N, Bremmer DN, Sealey ML, Cuevas E, Johnston A, Malarkey A, Behr R, Embrescia J, Sahota E, Loucks S, Gupta N, Shields KJ, Katz C, Kapetanos A. Risk Factors for Unnecessary Antibiotic Prescribing for Acute Respiratory Tract Infections in Primary Care. Mayo Clin Proc Innov Qual Outcomes 2020; 4:31-9. [PMID: 32055769 DOI: 10.1016/j.mayocpiqo.2019.09.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 09/17/2019] [Accepted: 09/20/2019] [Indexed: 12/22/2022] Open
Abstract
Objective To determine independent risk factors for inappropriate antibiotic prescribing for acute respiratory tract infections (ARIs) in internal medicine (IM) residency–based primary care offices. Patients and Methods A retrospective study was conducted to measure antibiotic prescribing rates, and multivariable analysis was utilized to identify predictors of inappropriate prescribing among patients presenting to IM residency–based primary care office practices. Patients with an office visit at either of 2 IM residency–based primary care office practices from January 1, 2016, through December 31, 2016, with a primary encounter diagnosis of ARI were included. Results During the study period, 911 unique patient encounters were included with 518 for conditions for which antibiotics were considered always inappropriate. Antibiotics were not indicated in 85.8% (782 of 911) of encounters. However, antibiotics were prescribed in 28.4% (222 of 782) of these encounters. Inappropriate antibiotic prescribing occurred in 111 of 518 (21.4%) encounters for conditions for which antibiotics are always inappropriate. Using multivariable logistic regression analysis to assess for independent risk factors when adjusted for other potential risk factors for office visits at which antibiotics were not indicated, IM resident–associated visits (odds ratio, 0.25; 95% CI, 0.18-0.36) was the only variable independently associated with lower risk of inappropriate antibiotic prescribing. Conclusion For ARI visits at which antibiotics were not indicated, IM resident comanagement was associated with lower rates of inappropriate prescribing.
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Key Words
- AHN, Allegheny Health Network
- ARI, acute respiratory tract infection
- ASP, antimicrobial stewardship program
- EHR, electronic health record
- ICD-10-CM, International Classification of Diseases, Tenth Revision, Clinical Modification
- ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification
- IM, internal medicine
- OR, odds ratio
- URI, upper respiratory tract infection
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Baillargeon J, Raji MA, Urban RJ, Lopez DS, Williams SB, Westra JR, Kuo YF. Opioid-Induced Hypogonadism in the United States. Mayo Clin Proc Innov Qual Outcomes 2019; 3:276-284. [PMID: 31485565 PMCID: PMC6713891 DOI: 10.1016/j.mayocpiqo.2019.06.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/07/2019] [Accepted: 06/26/2019] [Indexed: 01/09/2023] Open
Abstract
Objective To examine the incidence of screening, diagnosis, and treatment of hypogonadism among men treated with opioids in the United States. Patients and Methods Using one of the nation's largest commercial insurance databases, we identified 53,888 men aged 20 years or older who had 90 or more days of opioid prescriptions in a single 12-month period between January 1, 2010, and December 31, 2017, with no history of hypogonadism or testosterone therapy in the preceding 12 months. We matched this cohort to 53,888 men with 14 or fewer days of opioid prescriptions based on age, opioid initiation date, opioid indication, and comparable exclusion criteria. We assessed whether men, 14 or fewer days after initiation of opioid treatment, received a serum testosterone test, a diagnosis of hypogonadism, or a prescription for testosterone therapy. All men were followed up until they lost coverage from the commercial insurance plan, experienced one of the study outcomes, or the end of study (December 31, 2017). Results In the multivariable analyses-adjusting for age, year of opioid initiation, region, comorbid disease, glucocorticoid use, and health care utilization-the 53,888 prolonged opioid users, in comparison with 53,888 short-term users, had an increased incidence of serum testosterone screening (5991 [17.15%; 95% CI, 16.70%-17.61%] vs 3514 [11.55%; 95% CI, 11.11%-12.01%] at 5 years; hazard ratio [HR], 1.46; 95% CI, 1.38-1.55), hypogonadism diagnosis (3125 [9.44%; 95% CI, 9.09%-9.80%] vs 1421 [4.85%; 95% CI, 4.55%-5.16%; HR, 1.74; 95% CI, 1.60-1.90]), and receipt of testosterone therapy (1919 [5.76%; 95% CI, 5.49%-6.05%] vs 631 [2.21%; 95% CI, 2.04%-2.43%; HR, 2.41; 95% CI, 2.13-2.74]). Each of these findings persisted across multiple sensitivity analyses. Conclusion Prolonged opioid exposure was associated with increased rates of screening, diagnosis, and treatment for opioid-induced hypogonadism, but these rates were much lower than expected based on previous serum-based studies.
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Affiliation(s)
- Jacques Baillargeon
- Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston.,Sealy Center on Aging, University of Texas Medical Branch, Galveston
| | - Mukaila A Raji
- Sealy Center on Aging, University of Texas Medical Branch, Galveston.,Department of Internal Medicine, University of Texas Medical Branch, Galveston
| | - Randall J Urban
- Sealy Center on Aging, University of Texas Medical Branch, Galveston.,Department of Internal Medicine, University of Texas Medical Branch, Galveston
| | - David S Lopez
- Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston
| | - Stephen B Williams
- Sealy Center on Aging, University of Texas Medical Branch, Galveston.,Department of Surgery, Division of Urology, University of Texas Medical Branch, Galveston
| | - Jordan R Westra
- Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston
| | - Yong-Fang Kuo
- Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston.,Sealy Center on Aging, University of Texas Medical Branch, Galveston
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