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Kim D, Lee YJ, Jang BH, Park JS, Park S, D'Adamo CR, Shin YC, Ko SG. Analysis of factors associated with the use of Korean medicine after spinal surgery using a nationwide database in Korea. Sci Rep 2023; 13:20177. [PMID: 37978330 PMCID: PMC10656548 DOI: 10.1038/s41598-023-47454-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023] Open
Abstract
Many patients in Korea use Korean Medicine (KM) after spine surgery, but related research is lacking. Therefore, this retrospective cohort study aimed to analyze factors affecting the use and costs of KM using nationally representative data from the National Health Insurance Service-National Sample Cohort, South Korea. Patients who underwent spinal surgery for spinal diseases from 2011 to 2014 were followed up for 5 years, and their medical care was described. The association between patient and spinal surgery characteristics and the use of KM was analyzed. A two-part model was used to analyze factors affecting the use of KM in patients undergoing spinal surgery. Of 11,802 patients who underwent spinal surgery, 11,367 who met the inclusion criteria were included. Overall, 55.5% were female, 32.3% were aged ≥ 70 years, and 50.2% received KM treatment during the follow-up period. Open discectomy was the most common surgical procedure performed (58.6%), and 40.2% of surgeries were performed because of lumbar disc disorder. Female sex, older age, high Charlson Comorbidity Index score, and use of KM before surgery were associated with increased KM use and expenditure after surgery. In conclusion, patient characteristics, rather than surgical characteristics, appeared to be more strongly associated with the use of KM after surgery, particularly prior experience with KM use. This study is significant in that it analyzed the entire spine surgery to provide a comprehensive view of the use of KM after spine surgery and analyzed the impact of various factors related patients and surgical characteristics on KM use. The results of this study may be useful to patients with spinal diseases, clinicians, and policymakers.
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Affiliation(s)
- Doori Kim
- Department of Preventive Medicine, College of Korean Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
- Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation, 540 Gangnam-daero, Gangnam-gu, Seoul, 06110, Republic of Korea
| | - Yoon Jae Lee
- Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation, 540 Gangnam-daero, Gangnam-gu, Seoul, 06110, Republic of Korea
| | - Bo-Hyoung Jang
- Department of Preventive Medicine, College of Korean Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
| | - Jeong-Su Park
- Department of Preventive Medicine, College of Korean Medicine, Semyung University, 65, Semyeong-ro, Jecheon-si, Chungcheongbuk-do, Republic of Korea
| | - Sunju Park
- Department of Preventive Medicine, College of Korean Medicine, Daejeon University, 62, Daehak-ro, Dong-gu, Daejeon, 34520, Republic of Korea
| | - Christopher R D'Adamo
- Department of Family and Community Medicine, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD, 21201, USA
| | - Yong Cheol Shin
- Department of Preventive Medicine, College of Korean Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
| | - Seong-Gyu Ko
- Department of Preventive Medicine, College of Korean Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
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Owolo E, Petitt Z, Charles A, Baëta C, Poehlein E, Green C, Cook C, Sperber J, Chandiramani A, Roman M, Goodwin CR, Erickson M. The Association Between Sociodemographic Factors, Social Determinants of Health, and Spine Surgical Patient Portal Utilization. Clin Spine Surg 2023; 36:301-309. [PMID: 37081673 DOI: 10.1097/bsd.0000000000001458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 03/09/2023] [Indexed: 04/22/2023]
Abstract
STUDY DESIGN Retrospective cohort study. OBJECTIVE To examine patient portal use among the surgical spine patient population across different sociodemographic groups and assess the impact of patient portal use on clinical outcomes. SUMMARY OF BACKGROUND DATA Patient portals (PP) have been shown to improve outcomes and quality of care. Engaging them requires internet access, technological literacy, and dexterity, which may serve as access barriers. METHODS After exclusion criteria were applied, the study included data for 9211 encounters from 7955 patients. PP utilization was defined as having activated and used the Duke University Medical Center patient portal system, MyChart, at least once. Sociodemographic characteristics included urbanicity, age, race, ethnicity, language, employment, and primary insurer. Clinical outcomes included the length of hospital stay during the procedure, 30-day return to the emergency department, 30-day readmission, and being discharged somewhere other than home. RESULTS Being older than 65, non-White, unemployed, non-English-speaking, male, not-partnered, uninsured or publicly insured (Medicaid, Medicare and under 65 years of age, or other government insurance), and living in a rural environment were all risk factors for decreased PP utilization among surgical spine patients. A one-risk factor decrease in the number of social risk factors was associated with a 78% increase in the odds of PP utilization [odds ratio (OR): 1.78; 95% Confidence interval (CI): 1.69-1.87; P <0.001]. Patients not utilizing the portal at the time of their procedure had higher odds of 30-day readmission (OR: 1.59; 95% CI: 1.26-2.00), discharge somewhere other than home (OR: 2.41, 95% CI: 1.95-2.99), and an increased length of hospital stay (geometric mean ratio: 1.21; 95% CI: 1.12-1.30) compared with those who utilized it. CONCLUSIONS In patients undergoing spine procedures, PPs are not equally utilized among different sociodemographic groups. PP utilization is also associated with better outcomes. Interventions aimed at increasing PP uptake may improve care for certain patients.
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Affiliation(s)
| | | | | | | | | | | | - Chad Cook
- Department of Biostatistics and Bioinformatics
| | | | - Anisha Chandiramani
- Division of General Internal Medicine; Department of Medicine
- Duke Health Technology Solutions
| | - Matthew Roman
- Duke Health Technology Solutions
- Duke Network Services
| | | | - Melissa Erickson
- Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC
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Elsamadicy AA, Koo AB, Sherman JJZ, Sarkozy M, Reeves BC, Craft S, Sayeed S, Sandhu MRS, Hersh AM, Lo SFL, Shin JH, Mendel E, Sciubba DM. Association of frailty with healthcare resource utilization after open thoracic/thoracolumbar posterior spinal fusion for adult spinal deformity. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2023:10.1007/s00586-023-07635-2. [PMID: 36949143 DOI: 10.1007/s00586-023-07635-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 02/24/2023] [Accepted: 03/04/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE The Hospital Frailty Risk Score (HFRS) is a frailty-identifying metric developed using ICD-10-CM codes. While other studies have examined frailty in adult spinal deformity (ASD), the HFRS has not been assessed in this population. The aim of this study was to utilize the HFRS to investigate the impact of frailty on outcomes in ASD patients undergoing posterior spinal fusion (PSF). METHODS A retrospective study was performed using the 2016-2019 National Inpatient Sample database. Adults with ASD undergoing elective PSF were identified using ICD-10-CM codes. Patients were categorized into HFRS-based frailty cohorts: Low (HFRS < 5) and Intermediate-High (HFRS ≥ 5). Patient demographics, comorbidities, intraoperative variables, and outcomes were assessed. Multivariate regression analyses were used to determine whether HFRS independently predicted extended length of stay (LOS), non-routine discharge, and increased cost. RESULTS Of the 7500 patients identified, 4000 (53.3%) were in the Low HFRS cohort and 3500 (46.7%) were in the Intermediate-High HFRS cohort. On average, age increased progressively with increasing HFRS scores (p < 0.001). The frail cohort experienced more postoperative adverse events (p < 0.001), greater LOS (p < 0.001), accrued greater admission costs (p < 0.001), and had a higher rate of non-routine discharge (p < 0.001). On multivariate analysis, Intermediate-High HFRS was independently associated with extended LOS (OR: 2.58, p < 0.001) and non-routine discharge (OR: 1.63, p < 0.001), though not increased admission cost (OR: 1.01, p = 0.929). CONCLUSION Our study identified HFRS to be significantly associated with prolonged hospitalizations and non-routine discharge. Other factors that were found to be associated with increased healthcare resource utilization include age, Hispanic race, West hospital region, large hospital size, and increasing number of AEs.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Margot Sarkozy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Sumaiya Sayeed
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Andrew M Hersh
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, 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
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
- 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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Greenwood JC, Gutierrez K, McDermott M. Results of a Pilot Study for a Pharmacy Discharge Review in Neurosurgical Patients: A Quality-Safety Initiative. Cureus 2023; 15:e36067. [PMID: 37056529 PMCID: PMC10092899 DOI: 10.7759/cureus.36067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2023] [Indexed: 03/18/2023] Open
Abstract
Objective A multidisciplinary collaboration between the neurosurgical team and the pharmacy was established to conduct a pilot study in which discharged neurosurgical patients from a community hospital would receive medication reconciliation services and counseling by a pharmacy specialist to determine the impact on patient safety, readmission rates, and medication compliance. Methods Pharmacists reviewed discharge medication reconciliations of neurosurgical patients to address any discrepancies with the nurse practitioners or physicians prior to discharge and provided discharge medication counseling to the patient/families at the bedside. The service was provided on weekdays during the eight-hour pharmacist shift in addition to other daily responsibilities. Data were analyzed by type and the total number of pharmacy interventions encountered during the discharge medication reconciliation process, time to complete services, and readmission rates. Lastly, the discharged neurosurgical patients that were not seen by pharmacists during the one-month pilot study were reviewed retrospectively to determine potential interventions. Results A total of 48 neurosurgical patients were discharged during the one-month pilot study; 27 patients received discharge medication reconciliation services and counseling from the pharmacy specialists. Sixty-three pharmacy interventions were accepted with prevention of medication errors/adverse drug reactions (21%, n=21) and addition of missing medication (21%, n=21) being the most common intervention types. The mean time to complete the services was 27 minutes and there was one non-medication-related readmission of the 27 patients seen. Twenty-one neurosurgical patients who were discharged without receiving services were reviewed retrospectively. It was determined that there was a potential for another 64 pharmacy interventions in which clarification of indication (33%, n=21) was the most common intervention type, followed by prevention of medication errors/adverse drug reactions (25%, n=16) and addition of missing medication (22%, n=14). There was a total of one medication-related readmission of the 21 patients not seen by the pharmacist during the pilot study. Conclusion The collaboration of pharmacists in the discharge process benefits neurosurgical patients by reducing the number of discrepancies when transitioning home and provides an additional layer of safety to reduce medication errors and/or prevent adverse events.
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Elsamadicy AA, Sandhu MRS, Reeves BC, Freedman IG, Koo AB, Jayaraj C, Hengartner AC, Havlik J, Hersh AM, Pennington Z, Lo SFL, Shin JH, Mendel E, Sciubba DM. Association of inpatient opioid consumption on postoperative outcomes after open posterior spinal fusion for adult spine deformity. Spine Deform 2023; 11:439-453. [PMID: 36350557 DOI: 10.1007/s43390-022-00609-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 10/29/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Opioids are the most commonly used analgesic in the postoperative setting. However, few studies have analyzed the impact of high inpatient opioid use on outcomes following surgery, with no current studies assessing its effect on patients undergoing spinal fusion for an adult spinal deformity (ASD). Thus, the aim of this study was to investigate risk factors for high inpatient opioid use, as well as to determine the impact of high opioid use on outcomes such as adverse events (AEs), hospital length of stay (LOS), cost of hospital admission, discharge disposition, and readmission rates in patients undergoing spinal fusion for ASD. METHODS A retrospective cohort study was performed using the Premier healthcare database from the years 2016 and 2017. All adult patients > 40 years old who underwent thoracic or thoracolumbar fusion for ASD were identified using the ICD-10-CM diagnostic and procedural coding system. Patients were then categorized into three cohorts based on inpatient opioid use: Low MME (morphine milligram equivalents), Medium MME, and High MME. Patient demographics, comorbidities, treating hospital characteristics, intraoperative variables, postoperative AEs, LOS, discharge disposition, and total cost of hospital admission were assessed in the analysis. Multivariate regression analysis was done to determine independent predictors of high inpatient MME, prolonged LOS, and increased hospital cost. RESULTS Of 1673 patients included, 417 (24.9%) were classified as Low MME, 840 (50.2%) as Medium MME, and 416 (24.9%) as High MME. Age significantly decreased with increasing MME (Low: 71.0% 65 + years vs Medium: 62.0% 65 + years vs High: 47.4% 65 + years, p < 0.001), while the proportions of patients presenting with three or more comorbidities were similar across the cohorts (Low: 20.1% with 3 + comorbidities vs Medium: 18.0% with 3 + comorbidities vs High: 24.3% with 3 + comorbidities, p = 0.070). With respect to postoperative outcomes, the proportion of patients who experienced any AE (Low: 60.2% vs Medium: 68.8% vs High: 70.9%, p = 0.002), extended LOS (Low: 6.7% vs Medium: 20.7% vs High: 45.4%, p < 0.001), or non-routine discharge (Low: 66.6% vs Medium: 73.5% vs High: 80.1%, p = 0.003) each increased along with total MME. In addition, rates of 30-day readmission were greatest among the High MME cohort (Low: 8.4% vs Medium: 7.9% vs High: 12.5%, p = 0.022). On multivariate analysis, medium and high MME were associated with prolonged LOS [Medium: OR 4.41, CI (2.90, 6.97); High: OR 13.99, CI (8.99, 22.51), p < 0.001] and increased hospital cost [Medium: OR 1.69, CI (1.21, 2.39), p = 0.002; High: OR 1.66, CI (1.12, 2.46), p = 0.011]. Preadmission long-term opioid use [OR 1.71, CI (1.07, 2.7), p = 0.022], a prior opioid-related disorder [OR 11.32, CI (5.92, 23.49), p < 0.001], and chronic pulmonary disease [OR 1.39, CI (1.06, 1.82), p = 0.018] were each associated with a high inpatient MME on multivariate analysis. CONCLUSION Our study demonstrated that increasing inpatient MME consumption was associated with extended LOS and increased hospital cost in patients undergoing spinal fusion for ASD. Further studies identifying risk factors for increased MME consumption may provide better risk stratification for postoperative opioid use and healthcare resource utilization.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Isaac G Freedman
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Christina Jayaraj
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Astrid C Hengartner
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - John Havlik
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Andrew M Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, 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
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ehud Mendel
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA.,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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Elsamadicy AA, Sandhu MRS, Reeves BC, Sherman JJZ, Craft S, Williams M, Shin JH, Sciubba DM. Geriatric relationship with inpatient opioid consumption and hospital outcomes after open posterior spinal fusion for adult spine deformity. Clin Neurol Neurosurg 2022; 224:107532. [PMID: 36436433 DOI: 10.1016/j.clineuro.2022.107532] [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: 10/01/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVE As the population ages, increasing attention has been placed on identifying risk factors for poor surgical outcomes in the elderly. The aim of this study was to assess the impact of geriatric status on inpatient narcotic consumption and healthcare resource utilization in patients undergoing spinal fusion for adult spinal deformity. METHODS A retrospective study was performed using the Premier Healthcare Database (2016-2017). All adult patients who underwent thoracic/thoracolumbar fusion for spine deformity were identified using ICD-10-CM codes. Patients were categorized by age: 18-49 years-old (Young), 50-64 years-old (Older), and 65 + years-old (Geriatric). Patient demographics, comorbidities, hospital characteristics, intraoperative variables, adverse events (AEs), and healthcare resource utilization were assessed. Increased inpatient opioid use was categorized by MME (morphine milligram equivalents) admission consumption greater than the 75th percentile of the cohort. Multivariate logistic regression analysis was used to identify independent predictors of increased opioid usage, increased cost, and non-routine discharge (NRD). RESULTS Of the 1831 patients identified, 199 (10.9 %) were in the Young cohort, 599 (32.7 %) were in the Older cohort, and 1033 (56.4 %) were in the Geriatric cohort. The Geriatric cohort had a greater proportion of patients who were Non-Hispanic White (p < 0.001) and government-insured (p < 0.001). Comorbidities [CCI (p < 0.001)] and frailty [mFI-5 (p < 0.001)] increased with age. AEs occurred at similar rates between cohorts. A greater proportion of Older patients consumed an increased amount of MMEs during their hospital stay (Young: 24.9 % vs. Older: 33.1 % vs. Geriatric: 20.2 %, p < 0.001). A greater proportion of Geriatric patients experienced high costs (p = 0.018), longer LOS (p = 0.011), and 30-day readmission (p = 0.004) compared to other cohorts. A significantly greater proportion of the Geriatric cohort experienced NRD (Young: 25.3 % vs. Older: 58.8 % vs. Geriatric: 83.0 %, p < 0.001) On multivariate analysis, Geriatric age was independently associated with NRD (OR: 11.59, p < 0.001), and inversely associated with increased MME use (OR: 0.66, p = 0.038). However, Older age was independently associated with increased MME use (OR: 1.58, p = 0.026) and NRD (OR: 4.27, p < 0.001), though not increased cost (OR: 1.49, p = 0.077). CONCLUSION Our study demonstrates that geriatric patients may require fewer opioids than younger patients but require greater resource utilization on discharge. Additional studies investigating the impact of aging are necessary to improve patient risk stratification, healthcare delivery, and patient outcomes.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States.
| | - Mani Ratnesh S Sandhu
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States
| | - Benjamin C Reeves
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States
| | - Josiah J Z Sherman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States
| | - Samuel Craft
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States
| | - Mica Williams
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, United States
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - 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, United States; Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, United States
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Maielli LF, Tebet MA, Rosa AF, Lima MC, Mistro Neto S, Cavali PTM, Pasqualini W, Risso Neto MÍ. IDENTIFICATION OF RISK FACTORS ASSOCIATED WITH 30-DAY READMISSION OF PATIENTS SUBMITTED TO ANTERIOR OR POSTERIOR ACCESS CERVICAL SPINE SURGERY. COLUNA/COLUMNA 2022. [DOI: 10.1590/s1808-185120222103262527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT Aim: To conduct a systematic review of the literature to identify risk factors associated with 30-day readmission of patients submitted to anterior or posterior access cervical spine surgery. Methods: The databases used to select the papers were PubMed, Web of Science, and Cochrane, using the following search strategy: patient AND readmission AND (30 day OR “thirty day” OR 30-day OR thirty-day) AND (spine AND cervical). Results: Initially, 179 papers that satisfied the established search stringwere selected. After reading the titles and abstracts, 46 were excluded from the sample for not effectively discussing the theme proposed for this review. Of the 133 remaining papers, 109 were also excluded after a detailed reading of their content, leaving 24 that were included in the sample for the meta-analysis. Conclusions: The average readmission rate in the studies evaluated was 4.85%. Only the occurrence of infections, as well as the presence of patients classified by the American Society of Anesthesiology (ASA) assessment system with scores greater than III, were causal factors that influenced the readmission of patients. No significant differences were noted when comparing the anterior and posterior surgical access routes. Level of evidence II; Systematic Review of Level II or Level I Studies with discrepant results.
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Effects of preoperative nutritional status on complications and readmissions after posterior lumbar decompression and fusion for spondylolisthesis: A propensity-score analysis. Clin Neurol Neurosurg 2021; 211:107017. [PMID: 34781222 DOI: 10.1016/j.clineuro.2021.107017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/25/2021] [Accepted: 10/31/2021] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Malnutrition, common in the elderly, may adversely affect healthcare outcomes. In spine surgery, malnutrition is associated with higher rates of perioperative complications, unplanned readmission, and prolonged length of stay (LOS). The aim of this study was to determine the effect of malnutrition on adverse events (AEs), unplanned readmission, and LOS in patients undergoing spine surgery for spondylolisthesis. METHODS A retrospective cohort study was performed using the American College of Surgeons National Surgical Quality Improvement Program database from 2010 to 2016. Adult patients who underwent posterior decompression or fusion for spondylolisthesis were identified using the ICD-9-CM coding systems. Patients were divided into two cohorts based on preoperative serum albumin levels. propensity-score (PS) matching was used to create an age- and sex-matched Nourished cohort. Patient demographics, comorbidities, LOS, and postoperative complications were collected. Multivariate logistic regression analysis was performed to identify predictors of prolonged LOS, unplanned readmission, and AEs. RESULTS Of the 2196 patients identified, 4.5% were malnourished. Patients in the Malnourished cohort were found to have significantly longer average LOS (Malnourished: 4.51 ± 3.1 days vs PS-Matched Not Nourished: 3.7 ± 3.7, p = 0.002), higher rates of AEs (Malnourished: 14.3% vs PS-Matched Nourished: 5.8%, p = 0.007), reoperation (Malnourished: 8.4% vs PS-Matched Nourished: 3.2%, p = 0.026), and unplanned readmission (Malnourished: 15.3% vs PS-Matched Nourished: 6.1%, p = 0.003). On multivariate analysis considering only preoperative data, malnutrition was a significant independent predictor of AEs [OR: 2.13, CI (1.02, 4.46), p = 0.045]. However, after correcting for the occurrence of AEs, malnutrition was not associated with total LOS [aRR: 0.29, CI (-0.37, 0.95), p = 0.392] or 30-day unplanned readmissions [aOR: 2.24, CI (0.89, 5.60), p = 0.086]. CONCLUSION Our study found that malnourished patients undergoing lumbar fusion for spondylolisthesis have significantly higher rates of AEs, unplanned readmission, and prolonged LOS than nourished patients. Further studies are necessary to corroborate our findings.
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Modified-frailty index does not independently predict complications, hospital length of stay or 30-day readmission rates following posterior lumbar decompression and fusion for spondylolisthesis. Spine J 2021; 21:1812-1821. [PMID: 34010683 DOI: 10.1016/j.spinee.2021.05.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 04/20/2021] [Accepted: 05/07/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT Frailty has been associated with inferior surgical outcomes in various fields of spinal surgery. With increasing healthcare costs, hospital length of stay (LOS) and unplanned readmissions have emerged as clinical proxies reflecting overall value of care. However, there is a paucity of data assessing the impact that baseline frailty has on quality of care in patients with spondylolisthesis. PURPOSE The aim of this study was to investigate the impact that frailty has on LOS, complication rate, and unplanned readmission after posterior lumbar spinal fusion for spondylolisthesis. STUDY DESIGN A retrospective cohort study was performed using the National Surgical Quality Improvement Program (NSQIP) database from 2010 through 2016. PATIENT SAMPLE All adult (≥18 years old) patients who underwent lumbar spinal decompression and fusion for spondylolisthesis were identified using ICD-9-CM diagnosis and procedural coding systems. We calculated the modified frailty index (mFI) for each patient using 5 dichotomous comorbidities - diabetes mellitus, congestive heart failure, hypertension requiring medication, chronic obstructive pulmonary disease, and dependent functional status. Each comorbidity is assigned 1 point and the points are summed to give a score between 0 and 5. As in previous literature, we defined a score of 0 as "not frail", 1 as "mild" frailty, and 2 or greater as "moderate to severe" frailty. OUTCOME MEASURES Patient demographics, comorbidities, complications, LOS, readmission, and reoperation were assessed. METHODS A multivariate logistic regression analysis was used to identify independent predictors of adverse events (AEs), extended LOS, complications, and unplanned readmission. RESULTS There were a total of 5,296 patients identified, of which 2,030 (38.3%) were mFI=0, 2,319 (43.8%) patients mFI=1, and 947 (17.9%) were mFI ≥2. The mFI≥2 cohort was older (p≤.001) and had a greater average BMI (p≤.001). The mFI≥2 cohort had a slightly longer hospital stay (3.7 ± 2.3 days vs. mFI=1: 3.5 ± 2.8 days and mFI=0: 3.2 ± 2.1 days,p≤.001). Both surgical AEs and medical AEs were significantly greater in the mFI≥2 cohort than the other cohorts, (2.6% vs. mFI=1: 1.8% and mFI=0: 1.2%,p=.022) and (6.3% vs. mFI=1: 4.8% and mFI=0: 2.6%,p≤.001), respectively. While there was no significant difference in reoperation rates, the mFI≥2 cohort had greater unplanned 30-day readmission rates (8;4% vs. mFI=5.6: 4.8% and mFI=0: 3.4%,p≤.001). However, on multivariate regression analysis, mFI≥2 was not a significant independent predictor of LOS (p=.285), complications (p=.667), or 30-day unplanned readmission (p=.378). CONCLUSIONS Our study indicates that frailty, as measured by the mFI, does not significantly predict LOS, 30-day adverse events, or 30-day unplanned readmission in patients undergoing lumbar spinal decompression and fusion for spondylolisthesis. Further work is needed to better define variable inputs that make up frailty to optimize surgical outcome prediction tools that impact the value of care.
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Elsamadicy AA, Freedman IG, Koo AB, David W, Hengartner AC, Havlik J, Reeves BC, Hersh A, Pennington Z, Kolb L, Laurans M, Shin JH, Sciubba DM. Patient- and hospital-related risk factors for non-routine discharge after lumbar decompression and fusion for spondylolisthesis. Clin Neurol Neurosurg 2021; 209:106902. [PMID: 34481141 DOI: 10.1016/j.clineuro.2021.106902] [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: 06/08/2021] [Revised: 08/16/2021] [Accepted: 08/18/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVE In various spinal surgeries, non-routine discharges have been associated with inferior outcomes. However, there exists a paucity of data regarding the relationship between non-routine discharge and quality of care among patients with spondylolisthesis. The aim of this study was to identify independent predictors for non-routine discharge following spinal decompression and fusion for lumbar spondylolisthesis. METHODS A retrospective cohort study was performed using the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database from 2010 through 2016. Adult patients (≥18 years old) who underwent spinal decompression and fusion for lumbar spondylolisthesis were identified using ICD-9-CM diagnosis and CPT procedural coding systems. The study population was divided into two cohorts based on discharge disposition: routine (RD) and non-routine discharge (NRD). Patient demographics, comorbidities, adverse events, LOS, reoperation, and readmission were assessed. A multivariate logistic regression model was used to identify the independent predictors of non-home discharge and 30-day unplanned readmission. RESULTS A total of 5252 patients were identified, of which 4316 (82.2%) had a RD and 936 (18.8%) had a NRD. The NRD cohort tended to be older (p < 0.001) and have a higher BMI (p < 0.001). Patients who experienced a NRD had a longer LOS (NRD: 4.7 ± 3.7 days vs RD: 3.1 ± 2.0 days, p < 0.001), a higher proportion of adverse events (p < 0.001), higher rates of reoperation (p = 0.005) and unplanned 30-day readmission rates (p < 0.001). On multivariate regression analysis, age [OR: 1.08, 95% CI (1.06-1.10), p < 0.001], female sex [OR: 2.01, 95% (1.51-2.69), p < 0.001], non-Hispanic Black race/ethnicity [OR: 2.10, 95% CI (1.36-3.24), p = 0.001], BMI [OR: 1.03, 95% CI (1.01-1.05), p = 0.007], dependent functional status [OR: 3.33, 95% CI (1.59 - 6.99), p = 0.001], malnourishment [OR: 2.14, 95% CI (1.27-3.62), p = 0.005], and LOS [OR: 1.26, 95% CI (1.18-1.33), p < 0.001] were all independent predictors for NRD. However, NRD did not independently predict an unplanned 30-day readmission on multivariate analysis. CONCLUSION In our study we found that on univariate analysis NRD was associated with increased adverse events, length of stay and 30-day unplanned readmission. When controlling for patient- and hospital-related factors, we found that female sex, non-Hispanic Black race, BMI, dependent functional status, malnourishment and longer LOS were independently associated with NRD. However, NRD did not independently predict an unplanned 30-day readmission.
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Affiliation(s)
- Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.
| | - Isaac G Freedman
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew B Koo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Wyatt David
- 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
| | - John Havlik
- 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
| | - Andrew Hersh
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Luis Kolb
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Maxwell Laurans
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - John H Shin
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel M Sciubba
- Department of Neurosurgery, John Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY 11030, USA
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