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Alissa AI, McDonnell JM, Ross TD, Wu N, Sowa A, Wall J, Darwish S, Butler JS. Outcomes following spinal instrumented fusions in patients with parkinson's disease: a systematic review and meta-analysis. 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 2024:10.1007/s00586-024-08307-5. [PMID: 38937352 DOI: 10.1007/s00586-024-08307-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 05/09/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Parkinson's Disease (PD) patients represent challenging spinal surgery candidates due to associated frailty and deformity. This study consolidates the literature concerning spinal surgery outcomes in PD versus non-PD patients, to evaluate if PD predisposes patients to worse post-operative outcomes, so that treatment protocols can be optimised. METHODS A systematic review and meta-analysis was conducted of PubMed/Medline, Embase, and Google Scholar databases per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies of interest included comparative (PD versus non-PD) cohorts undergoing spinal instrumented fusions. Post-operative clinical outcomes were collated and compared for significance between cohorts. Further analysis was made on outcomes based on the different surgical procedures performed (Anterior Cervical Discectomy and Fusion (ACDF), Thoracolumbar or Lumbar fusions, Thoracolumbar or Lumbar fusions without Osteoporotic Vertebral Compression fracture (OVCF) patients). All statistical analysis was performed using The R Project for Statistical Computing (version 4.1.2), with a p-value of < 0.05 deemed statistically significant. RESULTS In total, 2,323,650 patients were included across 16 studies. Of those, 2,308,949 (99.37%) were patients without PD (non-PD), while 14,701 (0.63%) patients had PD at time of surgery. The collective mean age was 68.23 years (PD: 70.14 years vs non-PD: 64.86 years). Comparatively, there were 844,641 males (PD: 4,574; non-PD: 840,067) and 959,908 females (PD: 3,213; non-PD: 956,695). Overall, there were more post-operative complications in the PD cohort. Specifically, PD patients experienced significantly more surgical site infections (p = 0.01), increased rates of revision surgeries (p = 0.04) and increased venous thromboembolic events (p = 0.02) versus the non-PD cohort. In thoracolumbar/lumbar spinal fusions without OVCF patients, the PD cohort had increased rates of revision surgeries (p < 0.01) in comparison to the non-PD cohort. However, when including OVCF patients in thoracolumbar/lumbar spinal fusions, the PD cohort had significantly higher amounts of postoperative complications (p = 0.01), pneumonia (p = 0.02), and revision surgeries (p < 0.01) when compared to the non-PD cohort. CONCLUSION Although more robust prospective studies are needed, the results of this study highlight the need for advanced wound care management in the postoperative period, both in-hospital and in the community, in addition to comprehensive multidisciplinary care from allied health professionals, with potential for the use of Enhanced Recovery After Surgery (ERAS) protocols in PD patients undergoing spinal instrumented fusions.
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Affiliation(s)
- Ahmad Issa Alissa
- School of Medicine, University College Dublin, Dublin, Ireland
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
| | - Jake M McDonnell
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
- Centre of Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
| | - Tayler D Ross
- Department of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada
| | - Neil Wu
- School of Medicine, University College Dublin, Dublin, Ireland
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
| | - Aubrie Sowa
- School of Medicine, University College Dublin, Dublin, Ireland.
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland.
| | - Julia Wall
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
| | - Stacey Darwish
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
- Department of Orthopaedics, St. Vincent's University Hospital, Dublin, Ireland
| | - Joseph S Butler
- School of Medicine, University College Dublin, Dublin, Ireland
- National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, D07 R2WY, Ireland
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Kim S, Kim B, Han KD, Park J, Yoo JE, Choi HL, Chang WH, Cho IY, Shin DW. Risk of fracture among patients with spinal cord injury: A nationwide cohort study in South Korea. Bone 2024; 183:117093. [PMID: 38579925 DOI: 10.1016/j.bone.2024.117093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Clinical concerns about preventing and managing fractures after spinal cord injury (SCI) have been growing. OBJECTIVE This study investigates the risk of fractures among SCI patients according to the presence of disability, disease severity, and level of injury. METHODS We performed a retrospective cohort study using the Korean National Health Insurance Service (KNHIS 2010-2018) database. We included 5190 SCI patients and 1:3 age- and sex-matched control participants. The primary outcome was fracture, and the cohort was followed until December 31, 2019. RESULTS SCI patients had a higher fracture risk than the matched controls (adjusted hazard ratio [aHR] 1.33, 95 % CI 1.16-1.54). The risk of fracture was higher in the presence of disability (aHR 1.57, 95 % CI 1.19-2.07), especially among patients with severe disability (aHR 1.65, 95 % CI 1.05-2.60). Higher fracture risks were observed among SCI patients regardless of injury level, but statistical significance was found only with cervical-level injury. When we considered site-specific fractures, vertebral (aHR 1.31, 95 % CI 1.04-1.64) and hip fracture risks (aHR 2.04, 95 % CI 1.39-2.98) were both higher among SCI patients than the controls. SCI patients with disability and cervical-level injury showed the highest hip fracture risk (aHR 3.67, 95 % CI 1.90-7.07). CONCLUSIONS Compared with the controls, SCI patients were at higher risk of any fracture, particularly hip fracture, especially those with disability and cervical-level injury. Clinicians should be aware of the fracture risk among SCI patients to provide proper management.
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Affiliation(s)
- Seonghye Kim
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Bongseong Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Junhee Park
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jung Eun Yoo
- Department of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea; Department of Family Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hea Lim Choi
- Department of Family Medicine, Executive Healthcare Clinic, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
| | - Won Hyuk Chang
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - In Young Cho
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
| | - Dong Wook Shin
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea; Department of Digital Health, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
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Vallelonga F, Valente M, Tangari MM, Covolo A, Milazzo V, Di Stefano C, Sobrero G, Giudici M, Milan A, Veglio F, Lopiano L, Maule S, Romagnolo A. Hypotensive episodes at 24-h ambulatory blood pressure monitoring predict adverse outcomes in Parkinson's disease. Clin Auton Res 2024; 34:281-291. [PMID: 38662269 DOI: 10.1007/s10286-024-01030-7] [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: 01/27/2024] [Accepted: 04/01/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE Neurogenic orthostatic hypotension (nOH) is a frequent nonmotor feature of Parkinson's disease (PD), associated with adverse outcomes. Recently, 24-h ambulatory blood pressure monitoring (ABPM) showed good accuracy in diagnosing nOH. This study aims at evaluating the prognostic role of ABPM-hypotensive episodes in predicting PD disability milestones and mortality and comparing it to the well-defined prognostic role of bedside nOH. METHODS Patients with PD who underwent ABPM from January 2012 to December 2014 were retrospectively enrolled and assessed for the development of falls, fractures, dementia, bed/wheelchair confinement, hospitalization, and mortality, during an up-to-10-year follow-up. Significant ABPM-hypotensive episodes were identified when greater than or equal to two episodes of systolic BP drop ≥ 15 mmHg (compared with the average 24 h) were recorded during the awakening-to-lunch period. RESULTS A total of 99 patients (74% male, age 64.0 ± 10.1 years, and PD duration 6.4 ± 4.0 years) were enrolled. At baseline, 38.4% of patients had ABPM-hypotensive episodes and 46.5% had bedside nOH. On Kaplan-Meier analysis, patients with ABPM-hypotensive episodes showed earlier onset of falls (p = 0.001), fractures (p = 0.004), hospitalizations (p = 0.009), bed/wheelchair confinement (p = 0.032), dementia (p = 0.001), and shorter survival (8.0 versus 9.5 years; p = 0.009). At Cox regression analysis (adjusted for age, disease duration, Charlson Comorbidity Index, and Hoehn and Yahr stage) a significant association was confirmed between ABPM-hypotensive episodes and falls [odds ratio (OR) 3.626; p = 0.001), hospitalizations (OR 2.016; p = 0.038), and dementia (OR 2.926; p = 0.008), while bedside nOH was only associated with falls (OR 2.022; p = 0.039) and dementia (OR 1.908; p = 0.048). CONCLUSIONS The presence of at least two ABPM-hypotensive episodes independently predicted the development of falls, dementia, and hospitalization, showing a stronger prognostic value than the simple bedside assessment.
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Affiliation(s)
- Fabrizio Vallelonga
- Division of Internal Medicine, Candiolo Cancer Institute FPO-IRCCS, Strada Provinciale 142, Km 3,95, Candiolo, 10060, Turin, Italy.
- Department of Medical Science, University of Turin, Turin, Italy.
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy.
| | - Matteo Valente
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Marta Maria Tangari
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Anna Covolo
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Valeria Milazzo
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Cristina Di Stefano
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Gabriele Sobrero
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Marta Giudici
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Alberto Milan
- Division of Internal Medicine, Candiolo Cancer Institute FPO-IRCCS, Strada Provinciale 142, Km 3,95, Candiolo, 10060, Turin, Italy
- Department of Medical Science, University of Turin, Turin, Italy
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Franco Veglio
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Leonardo Lopiano
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Simona Maule
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Alberto Romagnolo
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
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Eshetie TC, Caughey GE, Whitehead C, Crotty M, Corlis M, Visvanathan R, Wesselingh S, Inacio MC. The risk of fractures after entering long-term care facilities. Bone 2024; 180:116995. [PMID: 38145862 DOI: 10.1016/j.bone.2023.116995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Stratifying residents at increased risk for fractures in long-term care facilities (LTCFs) can potentially improve awareness and facilitate the delivery of targeted interventions to reduce risk. Although several fracture risk assessment tools exist, most are not suitable for individuals entering LTCF. Moreover, existing tools do not examine risk profiles of individuals at key periods in their aged care journey, specifically at entry into LTCFs. PURPOSE Our objectives were to identify fracture predictors, develop a fracture risk prognostic model for new LTCF residents and compare its performance to the Fracture Risk Assessment in Long term care (FRAiL) model using the Registry of Senior Australians (ROSA) Historical National Cohort, which contains integrated health and aged care information for individuals receiving long term care services. METHODS Individuals aged ≥65 years old who entered 2079 facilities in three Australian states between 01/01/2009 and 31/12/2016 were examined. Fractures (any) within 365 days of LTCF entry were the outcome of interest. Individual, medication, health care, facility and system-related factors were examined as predictors. A fracture prognostic model was developed using elastic nets penalised regression and Fine-Gray models. Model discrimination was examined using area under the receiver operating characteristics curve (AUC) from the 20 % testing dataset. Model performance was compared to an existing risk model (i.e., FRAiL model). RESULTS Of the 238,782 individuals studied, 62.3 % (N = 148,838) were women, 49.7 % (N = 118,598) had dementia and the median age was 84 (interquartile range 79-89). Within 365 days of LTCF entry, 7.2 % (N = 17,110) of individuals experienced a fracture. The strongest fracture predictors included: complex health care rating (no vs high care needs, sub-distribution hazard ratio (sHR) = 1.52, 95 % confidence interval (CI) 1.39-1.67), nutrition rating (moderate vs worst, sHR = 1.48, 95%CI 1.38-1.59), prior fractures (sHR ranging from 1.24 to 1.41 depending on fracture site/type), one year history of general practitioner attendances (≥16 attendances vs none, sHR = 1.35, 95%CI 1.18-1.54), use of dopa and dopa derivative antiparkinsonian medications (sHR = 1.28, 95%CI 1.19-1.38), history of osteoporosis (sHR = 1.22, 95%CI 1.16-1.27), dementia (sHR = 1.22, 95%CI 1.17-1.28) and falls (sHR = 1.21, 95%CI 1.17-1.25). The model AUC in the testing cohort was 0.62 (95%CI 0.61-0.63) and performed similar to the FRAiL model (AUC = 0.61, 95%CI 0.60-0.62). CONCLUSIONS Critical information captured during transition into LTCF can be effectively leveraged to inform fracture risk profiling. New fracture predictors including complex health care needs, recent emergency department encounters, general practitioner and consultant physician attendances, were identified.
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Affiliation(s)
- Tesfahun C Eshetie
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; UniSA Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia; UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
| | - Gillian E Caughey
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Craig Whitehead
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia; Southern Adelaide Local Health Network, SA Health, Adelaide, SA, Australia
| | - Maria Crotty
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia; Southern Adelaide Local Health Network, SA Health, Adelaide, SA, Australia
| | - Megan Corlis
- Australian Nursing and Midwifery Federation (SA Branch), Adelaide, South Australia, Australia
| | - Renuka Visvanathan
- Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Aged and Extended Care Services, The Queen Elizabeth Hospital and Basil Hetzel Institute for Translational Research, Central Adelaide Local Health Network, SA Health, South Australia, Australia
| | - Steve Wesselingh
- South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Maria C Inacio
- Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; UniSA Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
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Vallelonga F, Valente M, Tangari MM, Covolo A, Milazzo V, Di Stefano C, Sobrero G, Giudici M, Milan A, Veglio F, Lopiano L, Maule S, Romagnolo A. Hypotensive episodes at 24-h Ambulatory Blood Pressure Monitoring predict adverse outcomes in Parkinson's Disease. RESEARCH SQUARE 2024:rs.3.rs-3904996. [PMID: 38405860 PMCID: PMC10889044 DOI: 10.21203/rs.3.rs-3904996/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Purpose Neurogenic orthostatic hypotension (nOH) is a frequent non-motor feature of Parkinson's disease (PD), associated with adverse outcomes. Recently, 24-hour ambulatory BP monitoring (ABPM) has been shown to diagnose nOH with good accuracy (in the presence of at least 2 episodes of systolic BP drop ≥ 15 mmHg compared to the average 24-h). This study aims at evaluating the prognostic role of ABPM-hypotensive episodes in predicting PD disability milestones and mortality and comparing it to well-defined prognostic role of nOH. Methods PD patients who underwent ABPM from January 2012 to December 2014 were retrospectively enrolled and assessed for the development of falls, fractures, dementia, bed/wheelchair confinement, hospitalization, mortality, during an up-to-10-year follow-up. Results Ninety-nine patients (male 74%; age: 64.0 ± 10.1 years; PD duration: 6.4 ± 4.0 years) were enrolled. At baseline, 38.4% of patients had ABPM-hypotensive episodes and 46.5% had bedside nOH.At Kaplan-Meier analysis patients with ABPM-hypotensive episodes had an earlier onset of falls (p = 0.001), fractures (p = 0.004), hospitalizations (p = 0.009), bed/wheelchair confinement (p = 0.032), dementia (p = 0.001), and showed a shorter survival (8.0vs9.5 years; p = 0.009). At Cox regression analysis (adjusted for age, disease duration, Charlson Comorbidity Index, and H&Y stage at baseline) a significant association was confirmed between ABPM-hypotensive episodes and falls (OR:3.626; p = 0.001), hospitalizations (OR:2.016; p = 0.038), and dementia (OR:2.926; p = 0.008), while bedside nOH was only associated with falls (OR 2.022; p = 0.039) and dementia (OR:1.908; p = 0.048). Conclusion The presence of at least two ABPM-hypotensive episodes independently predicted the development of falls, dementia, and hospitalization, showing a stronger prognostic value than the simple bedside assessment.
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Affiliation(s)
| | - Matteo Valente
- Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Marta Maria Tangari
- Università degli Studi di Torino Dipartimento di Neuroscienze 'Rita Levi Montalcini': Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
| | - Anna Covolo
- Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
| | - Valeria Milazzo
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Cristina Di Stefano
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Gabriele Sobrero
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Marta Giudici
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Alberto Milan
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Franco Veglio
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Leonardo Lopiano
- University of Turin Department of Neurosciences Rita Levi Montalcini: Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
| | - Simona Maule
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Alberto Romagnolo
- University of Turin Department of Neurosciences Rita Levi Montalcini: Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
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