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Elsamadicy AA, Sayeed S, Sherman JJZ, Craft S, Reeves BC, Hengartner AC, Ghanekar SD, Sadeghzadeh S, Larry Lo SF, Sciubba DM. Association of Safety-Net hospital status and hospital outcomes following ACDF or PCDF for CSM. J Clin Neurosci 2025; 133:111001. [PMID: 39742780 DOI: 10.1016/j.jocn.2024.111001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 12/03/2024] [Accepted: 12/19/2024] [Indexed: 01/04/2025]
Abstract
INTRODUCTION Safety net hospitals (SNH) serve a large proportion of patients with Medicaid or without insurance. However, few prior studies have addressed the impact of SNH status on outcomes following anterior cervical discectomy and fusion (ACDF) or posterior cervical decompression and fusion (PCDF) for cervical spondylotic myelopathy (CSM). The aim of this study was to assess the association between SNH status outcomes following ACDF or PCDF for CSM. METHODS A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample Database. All adult patients (≥18 years old) undergoing elective ACDF or PCDF for CSM, identified using ICD-10-CM coding, were stratified by SNH status. Hospitals in the top quartile of Medicaid/uninsured patient admissions were defined as SNHs while all other hospitals were defined as Non-SNHs (N-SNHs). Patient demographics, treating hospital characteristics, comorbidities, operative variables, adverse events (AEs), LOS, discharge disposition, and costs were assessed. Multivariate analyses were performed to identify independent predictors of prolonged LOS, non-routine discharge disposition, and increased costs for ACDF and PCDF. RESULTS Of the 49,945 study patients, 34,195 (68.5 %) underwent ACDF and 15,750 (31.5 %) underwent PCDF. Within the ACDF and PCDF cohorts, 8,025 patients (23.5 %) and 4,120 (26.2 %) were treated at SNHs, respectively. Mean LOS was significantly greater in the SNH cohorts for both procedures (ACDF: N-SNH: 2.43 ± 3.12 days vs SNH: 2.94 ± 4.13 days, p < 0.001; PCDF: N-SNH: 4.36 ± 4.28 days vs SNH: 5.41 ± 8.67 days, p = 0.002), as were mean costs (ACDF: N-SNH: $20,991 ± $12,126 vs SNH: $22,412 ± $15,302, p = 0.010; PCDF: N-SNH: $25,835 ± $16,812 vs SNH: $28,945 ± $29,166, p = 0.010). A significantly greater proportion of patients in the ACDF cohort treated at SNHs experienced non-routine discharges (N-SNH: 10.9 % vs SNH: 13.9 %, p = 0.006). On multivariate analysis for both procedures, SNH status was not significantly associated with extended LOS [ACDF: p = 0.097; PCDF: p = 0.158], non-routine discharge [ACDF: p = 0.288; PCDF: p = 0.246], or increased costs [ACDF: p = 0.664; PCDF: p = 0.593]. CONCLUSIONS While our study found patients treated at SNHs with ACDF or PCDF for CSM had significantly longer mean LOS, greater mean costs, and increased non-routine discharge rates than N-SNHs, on multivariate analysis SNH status was not found to be independently associated with these adverse outcomes.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Shaila D Ghanekar
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Sina Sadeghzadeh
- Department of Neurosurgery, Stanford School of Medicine, Stanford, CA, USA
| | - Sheng-Fu Larry Lo
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, USA
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Silvola R, O'Kane A, Heathman M, Marotta H, Trussel H, Ray B, Dowden S, Masters AR, Haas DM, Quinney SK. Population Pharmacokinetics and Transfer of Gabapentin When Used as a Pain Adjunct for Cesarean Deliveries. CPT Pharmacometrics Syst Pharmacol 2025. [PMID: 39891423 DOI: 10.1002/psp4.13295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 10/18/2024] [Accepted: 11/18/2024] [Indexed: 02/03/2025] Open
Abstract
Enhanced Recovery After Surgery (ERAS) protocols for cesarean deliveries (CDs) utilize multimodal pain management strategies that often include gabapentin. While gabapentin is excreted in breast milk, its pharmacokinetics in immediately postpartum lactating women are not known. This observational pharmacokinetic study (NCT05099484) enrolled 21 healthy singleton pregnant individuals, ≥ 18 years old, undergoing CD and planning to breastfeed. Participants received 300 mg oral gabapentin before CD and every 6 h for 48 h per hospital protocol. Serial maternal plasma and breast milk samples were collected over a single dosing interval. Gabapentin pharmacokinetics were assessed using two structurally distinct population pharmacokinetic (POPPK) models to describe transfer of drug into breast milk utilizing (A) milk-to-plasma ratio and (B) inter-compartmental rate constants. These models were then used to estimate exposure to breastfed infants. Postpartum gabapentin plasma concentrations fit a 1-compartment model that was adapted to include breast milk concentrations. The two POPPK models both estimated relative infant doses (RID0-48h) of gabapentin < 0.15% of maternal dose within the first 48 h postpartum. Infant daily dose (IDD) from 24 to 48 h was estimated to be 0.0137 (0.0058-0.0316) mg/kg/day and 0.0139 (0.00041-0.0469) mg/kg/day by models A and B, respectively. These findings indicate limited neonatal exposure to gabapentin administered as part of a postpartum enhanced recovery after surgery protocol.
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Affiliation(s)
- Rebecca Silvola
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Aislinn O'Kane
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Michael Heathman
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Metrum Research Group, Tariffville, Connecticut, USA
| | - Hannah Marotta
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Hayley Trussel
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Bobbie Ray
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Shelley Dowden
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Andrea R Masters
- Indiana University Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - David M Haas
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sara K Quinney
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana University Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Nelson G, Fotopoulou C, Taylor J, Glaser G, Bakkum-Gamez J, Meyer LA, Stone R, Mena G, Elias KM, Altman AD, Bisch SP, Ramirez PT, Dowdy SC. Enhanced recovery after surgery (ERAS®) society guidelines for gynecologic oncology: Addressing implementation challenges - 2023 update. Gynecol Oncol 2023; 173:58-67. [PMID: 37086524 DOI: 10.1016/j.ygyno.2023.04.009] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND Despite evidence supporting its use, many Enhanced Recovery After Surgery (ERAS) recommendations remain poorly adhered to and barriers to ERAS implementation persist. In this second updated ERAS® Society guideline, a consensus for optimal perioperative care in gynecologic oncology surgery is presented, with a specific emphasis on implementation challenges. METHODS Based on the gaps identified by clinician stakeholder groups, nine implementation challenge topics were prioritized for review. A database search of publications using Embase and PubMed was performed (2018-2023). Studies on each topic were selected with emphasis on meta-analyses, randomized controlled trials, and large prospective cohort studies. These studies were then reviewed and graded by an international panel according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. RESULTS All recommendations on ERAS implementation challenge topics are based on best available evidence. The level of evidence for each item is presented accordingly. CONCLUSIONS The updated evidence base and recommendations for stakeholder derived ERAS implementation challenges in gynecologic oncology are presented by the ERAS® Society in this consensus review.
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Affiliation(s)
- G Nelson
- Department of Obstetrics & Gynecology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
| | - C Fotopoulou
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - J Taylor
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - G Glaser
- Division of Gynecologic Oncology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - J Bakkum-Gamez
- Division of Gynecologic Oncology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - L A Meyer
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - R Stone
- Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - G Mena
- Department of Anesthesiology, Critical Care and Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - K M Elias
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - A D Altman
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - S P Bisch
- Department of Obstetrics & Gynecology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - P T Ramirez
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Obstetrics and Gynecology, Houston Methodist Hospital, Houston, TX, USA
| | - S C Dowdy
- Division of Gynecologic Oncology, Mayo Clinic College of Medicine, Rochester, MN, USA
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ERAS implementation in an urban patient population undergoing gynecologic surgery. Best Pract Res Clin Obstet Gynaecol 2022; 85:1-11. [PMID: 36031533 DOI: 10.1016/j.bpobgyn.2022.07.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 07/26/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Enhanced recovery after surgery (ERAS) protocols improve outcomes. We investigated ERAS implementation in a population with comorbid conditions, inadequate insurance, and barriers to healthcare undergoing gynecologic surgery. OBJECTIVE To investigate ERAS implementation in publicly insured/uninsured patients undergoing gynecologic surgery on hospital length of stay (LOS), 30-day hospital readmission rates, opioid administration, and pain scores. STUDY DESIGN Data were obtained pre- and post-ERAS implementation. Patients undergoing gynecologic surgery with private insurance, public insurance, and uninsured were included (N = 589). LOS, readmission <30 days, opioid administration, and pain scores were assessed. RESULTS Implementation of ERAS led to shorter LOS 1.75 vs. 1.49 days (p = 0.008). Average pain scores decreased from 3.07 pre-ERAS vs. 2.47 post-ERAS (p = <0.001). Opioid use decreased for ERAS patients (67.22 vs. 33.18, p = <0.001). Hospital readmission rates were unchanged from 8.2% pre-ERAS vs. 10.3% post-ERAS (p = 0.392). CONCLUSIONS ERAS decreased pain scores and opioid use without increasing LOS or readmissions.
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Montgomery C, Stelfox H, Norris C, Rolfson D, Meyer S, Zibdawi M, Bagshaw S. Association between preoperative frailty and outcomes among adults undergoing cardiac surgery: a prospective cohort study. CMAJ Open 2021; 9:E777-E787. [PMID: 34285057 PMCID: PMC8313095 DOI: 10.9778/cmajo.20200034] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The identification of frailty before complex and invasive procedures may have relevance for prognostic and recovery purposes, to optimally inform patients, caregivers and clinicians about perioperative risk and postoperative care needs. The aim of this study was to estimate the prevalence of frailty and describe the associated clinical course and outcomes of patients referred for nonemergent cardiac surgery. METHODS A prospective cohort of patients aged 50 years and older referred for nonemergent cardiac surgery in Alberta, Canada, from November 2011 to March 2014 were screened preoperatively for frailty, defined as a Clinical Frailty Scale (CFS) score of 5 or greater. Postoperatively, patients were followed by telephone to assess CFS score, health services use and vital status. The primary outcome was all-cause hospital mortality. Secondary outcomes included health services use, hospital discharge disposition, 1-year health-related quality of life and all-cause 5-year mortality. RESULTS The cohort (n = 529) had a mean age of 67 (standard deviation [SD] 9) years; 25.9% were female, and the prevalence of frailty was 9.6% (n = 51; 95% confidence interval [CI] 7.3%-12.5%). Frail patients were older (median age 75, interquartile range [IQR] 65-80 v. 67, IQR 60-73, yr; p < 0.001), were more likely to be female (51.0% v. 23.2%; p < 0.001), had a higher mean EuroSCORE II (8, SD 3 v. 5, SD 3; p < 0.001) and received combined coronary artery bypass grafting and valve procedures more frequently (29.4% v. 15.9%; p = 0.02) than nonfrail patients. Postoperatively, frail patients had a longer median duration of stay in the cardiovascular intensive care unit (median difference 2.2, 95% CI 1.60-2.79) and hospital (median difference 9.3, 95% CI 8.2-10.3). Hospital mortality was 9.8% among frail patients and 1.0% among nonfrail patients (adjusted hazard ratio 3.84, 95% CI 0.90-16.34). INTERPRETATION Preoperative frailty was present in 10% of patients and was associated with a higher risk of morbidity and greater health services use. Preoperative frailty has important implications for the postoperative clinical course and resource utilization of patients undergoing cardiac surgery.
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Affiliation(s)
- Carmel Montgomery
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.
| | - Henry Stelfox
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta
| | - Colleen Norris
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta
| | - Darryl Rolfson
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta
| | - Steven Meyer
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta
| | - Mohamad Zibdawi
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta
| | - Sean Bagshaw
- Department of Critical Care Medicine (Montgomery, Zibdawi, Bagshaw), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta.; Department of Critical Care Medicine (Stelfox), Cumming School of Medicine, and Department of Community Health Sciences (Stelfox), University of Calgary, Calgary, Alta.; Faculty of Nursing and School of Public Health (Norris, Bagshaw), University of Alberta; Strategic Clinical Networks (Norris, Bagshaw), Alberta Health Services; Division of Geriatric Medicine (Rolfson), Department of Medicine, and Division of Cardiac Surgery, (Meyer) Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alta
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Siracuse JJ, Farber A, Cheng TW, Levin SR, Kalesan B. Hospital-Level Medicaid Prevalence Is Associated with Increased Length of Stay after Asymptomatic Carotid Endarterectomy and Stenting Despite no Increase in Major Complications. Ann Vasc Surg 2020; 71:65-73. [PMID: 32949743 DOI: 10.1016/j.avsg.2020.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/07/2020] [Accepted: 09/08/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Length of stay (LOS) after carotid endarterectomy (CEA) and carotid artery stenting (CAS) for asymptomatic disease is used as a quality measure and affects hospital operating margins. Patient-level Medicaid status has traditionally been associated with longer hospital LOS. Our goal was to assess the association between hospital-level Medicaid prevalence and postoperative LOS after CEA and CAS. METHODS The National Inpatient Sample was queried from 2006-2014 for CEA and CAS performed for asymptomatic carotid stenosis. Overall hospital-level Medicaid prevalence was divided into quartiles. The quartiles were further categorized into low Medicaid prevalence (LM) (lowest quartile), medium Medicaid prevalence (MM) (second and third quartiles), and high Medicaid prevalence (HM) (fourth quartile) cohorts. The primary outcome evaluated was postoperative LOS >1 day. The secondary outcomes included perioperative/in-hospital complications and mortality. RESULTS There were 984,283 patients with asymptomatic carotid stenosis who underwent CEA (88%) or CAS (12%). Mean postoperative LOS after CEA at hospitals with LM, MM, and HM prevalence was 1.4 ± 1.5, 2.1 ± 2.5, and 2.2 ± 2.8 days (P = 0.0001), respectively, and after CAS were 1.7 ± 2.6, 1.8 ± 2.1, and 2 ± 2.6 days (P < 0.0001), respectively. After CEA, relative to LM prevalence, MM (OR 1.62, 95% CI 1.17-2.24) and HM (OR 1.66, 95% CI 1.2-2.28) prevalence were associated with a higher likelihood of LOS > 1 day (P = 0.009). After CAS, relative to LM prevalence, HM prevalence was associated with a higher likelihood of LOS >1 day (OR 1.42, 95% CI 1.06-1.91) (P = 0.003). After CEA, neurologic (0.8% vs. 0.9% vs. 0.9%, P = 0.83) and cardiac complications (0.9% vs. 1.2% vs. 1.2%, P = 0.24) were similar among hospitals with LM, MM, and HM prevalence, respectively. After CAS, the prevalence of neurological (1.1% vs. 1% vs. 1.2%, P = 0.42) and cardiac complications (2% vs. 1.3% vs. 1.5%, P = 0.46) were also similar. After both CEA and CAS, mortality was similar among Medicaid prevalence cohorts. CONCLUSIONS Higher hospital-level Medicaid prevalence was associated with longer LOS after CEA and CAS for asymptomatic carotid stenosis. Value-based payment models should adjust for hospital-level Medicaid prevalence to appropriately reimburse providers and hospital with higher Medicaid prevalence as well as investigate care pathways and systems improvement to help reduce LOS.
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Affiliation(s)
- Jeffrey J Siracuse
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA.
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Thomas W Cheng
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Scott R Levin
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Bindu Kalesan
- Center for Clinical Translational Epidemiology and Comparative Effectiveness Research, Preventative Medicine & Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA
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