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Gadgaard NR, Varnum C, Nelissen R, Vandenbroucke-Grauls C, Sørensen HT, Pedersen AB. Major comorbid diseases as predictors of infection in the first month after hip fracture surgery: a population-based cohort study in 92,239 patients. Eur Geriatr Med 2024; 15:1069-1080. [PMID: 38775876 PMCID: PMC11377556 DOI: 10.1007/s41999-024-00989-w] [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: 01/05/2024] [Accepted: 05/06/2024] [Indexed: 09/06/2024]
Abstract
PURPOSE Comorbidity level is a predictor of infection in the first 30 days after hip fracture surgery. However, the roles of individual comorbid diseases as predictors of infection remain unclear. We investigated individual major comorbid diseases as predictors of infection after hip fracture surgery. METHODS We obtained Danish population-based medical registry data for patients undergoing hip fracture surgery (2004-2018). Information was obtained on 27 comorbidities, included in various comorbidity indices, 5 years before surgery. The primary outcome was any hospital-treated infection within 30 days after surgery. Cumulative incidence of infection was calculated by considering death as competing risk. We used logistic regression to compute mutually adjusted odds ratios with 95% confidence interval for infection. RESULTS Of 92,239 patients with hip fracture, 71% were women, and the median age was 83 years. The most prevalent comorbidities were hypertension (23%), heart arrhythmia (15%), and cerebrovascular disease (14%). The 30-day incidence of infection was 15% and 12% among the total cohort and among patients with no record of comorbidities, respectively. Infection incidence was highest among patients with renal disease (24%), depression/anxiety (23%), and chronic pulmonary disease (23%), and lowest among patients with metastatic solid tumor (15%). Adjusted odds ratios of infection ranged from 0.94 [0.80-1.10] for metastatic solid tumor to 1.77 [1.63-1.92] for renal disease. CONCLUSION Most comorbid diseases were predictors of infection after surgery for hip fracture. Awareness of patients' comorbidity profiles might help clinicians initiate preventive measures or inform patients of their expected risk.
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Affiliation(s)
- Nadia Roldsgaard Gadgaard
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark.
| | - Claus Varnum
- Department of Orthopedic Surgery, Lillebaelt Hospital, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Rob Nelissen
- Department of Orthopedics, Leiden University Medical Center, Leiden, The Netherlands
| | - Christina Vandenbroucke-Grauls
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark
- Department of Medical Microbiology and Infection Control, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark
| | - Alma Becic Pedersen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark
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Melsen IM, Szépligeti SK, Gundtoft PH, Pedersen AB. Time trends in opioid use for patients undergoing hip fracture surgery in 1997-2018: A Danish population-based cohort study. Eur J Pain 2024. [PMID: 38581227 DOI: 10.1002/ejp.2271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/28/2024] [Accepted: 03/19/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Although opioids are a mainstay for perioperative pain management in hip fracture patients, no studies have described changes in opioid use over the last two decades. The aim of this study was to describe time trends in opioid use in a population-based cohort of patients undergoing a first-time hip fracture surgery during 1997-2018. METHODS Opioid-naïve hip fracture patients >55 years old were identified in Danish medical databases (n = 115,962). By 2-year calendar periods, we calculated prevalence rates (PR) of opioid use in the four quarters after surgery (Q1-Q4). Corresponding prevalence rate ratios (PRR) with 1997-1998 as a reference were estimated with 95% confidence intervals. Further, we calculated the median morphine milligram equivalents (MME) for each quarter. RESULTS For Q1, the PR of opioid use increased from 29% in 1997-1998 to 78% in 2017-2018 corresponding to a PRR of 2.7 (2.6-2.8). For Q4, the PR was 15% in 1997-1998, peaked in 2003-2004 and then decreased, but stayed high at 13% in 2017-2018. The median MME did not increase when comparing 2017-2018 with 1997-1998, irrespective of the quarter. Tramadol was most frequently used in 1997-1998 shifting to oxycodone in 2017-2018. CONCLUSION The PRs of opioid use in Q1 after surgery increased substantially from 1997 to 2018, but this did not translate into increased opioid use up to 1 year after hip fracture surgery or higher dosage. Our findings underline the importance of sustained focus on opioid tapering, dosage and use of opioids with the lowest potential for addiction and other adverse events. SIGNIFICANCE STATEMENT Overall, opioid use in Q1 after hip fracture surgery increased 2.7 times from 1997 to 2018, but the doses and opioid use up to 1 year after surgery remained stable. Compared to elderly, younger patients were more likely to use opioid in Q1, while the tendency was opposite in Q2-Q4. The most used opioid type changed from tramadol to oxycodone. Our findings underline the importance of personalized opioid tapering and doses, and use of opioids with the lowest potential for addiction and other adverse events.
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Affiliation(s)
- I M Melsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - S K Szépligeti
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - P H Gundtoft
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Orthopaedic Surgery, Aarhus University Hospital, Aarhus, Denmark
| | - A B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Storbjerg DK, Gadgaard NR, Pedersen AB. Any infection among patients with hip fracture: Predictive ability of Charlson, Elixhauser, Rx-Risk, and Nordic comorbidity indices. Surgeon 2024; 22:e61-e68. [PMID: 37989653 DOI: 10.1016/j.surge.2023.11.004] [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: 08/17/2023] [Revised: 10/13/2023] [Accepted: 11/07/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND In studies on infection after hip fracture surgery, a common and serious complication, it remains unknown which comorbidity index is best for case-mix confounder adjustment. We evaluated the predictive ability of Charlson Comorbidity Index (CCI), Elixhauser Comorbidity Index (ECI), Rx-Risk Index (Rx-Risk), and Nordic Multimorbidity Index (NMI) for any infection up to 1 year from discharge after hip fracture surgery. METHODS Using Danish medical registries, we included 92,600 patients (mean age 83 years) surgically treated for hip fracture between 2004 and 2018. Comorbidity-index scores were calculated using prevalence of diagnosis codes, prescription codes, or both. Lookback periods of 1, 5, and 10 years were applied. Logistic regression was used to calculate c-index to assess discrimination of comorbidity indices individually and in combination with a base model of age and sex. Outcome was any infection (not only surgical site infection) in-hospital and 1 year after discharge. RESULTS At 10-year lookback period, the c-index for individual comorbidity indices for in-hospital infections varied from 0.53 to 0.56, similar to base model alone (0.56). The predictive ability of comorbidity indices in combination with base model varied from 0.56 to 0.57. Within 1 year after discharge, NMI in combination with base model had best predictive ability for infection (c-index = 0.62), followed by CCI and ECI (c-index = 0.60) and Rx-Risk (c-index = 0.58). Discrimination was similar for all lookback periods. CONCLUSIONS Comorbidity indices have low predictive ability for any infection up to 1 year after hip fracture surgery, similar to that of age and sex alone. For case-mix adjustment, evaluated comorbidity indices are of equal value.
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Affiliation(s)
- Dorete K Storbjerg
- Department of Clinical Epidemiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Nadia R Gadgaard
- Department of Clinical Epidemiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Alma B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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Aljinović J, Barun B, Poljičanin A, Kero D, Matijaca M, Dujmović D, Marinović I. The Odds of One-Year Mortality in Bedridden Geriatric Patients Discharged from Acute Rehabilitation Ward Are Increased Eightfold If the Patients Have Three or More Complications. J Clin Med 2024; 13:537. [PMID: 38256671 PMCID: PMC10816072 DOI: 10.3390/jcm13020537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
Low muscle strength, functional score at discharge, and complications during a ten-day rehabilitation hospital stay can affect mortality rates in bedridden geriatric patients. This was a prospective observational study in a cohort of 105 bedridden geriatric patients admitted to the Rehabilitation ward after a major illness or surgery. All participants had a severe dependency on another person (Barthel's Index < 60). The one-year mortality rate in this cohort was 15.2%, with further subdivision according to the number of complications: 61.5% in patients with ≥3 complications during hospitalization, 17.6% in patients with two complications, 9.5% with one complication, and 3% in patients with no complications. The Barthel Index at discharge (OR = 0.95; p = 0.003) and ≥3 medical complications (OR = 8.33; p = 0.005) during rehabilitation ward stay were significant predictors for one-year mortality. The odds of one-year mortality after discharge increased eightfold in patients with ≥3 medical complications. Sarcopenia, age, and sex were not significant predictors of mortality in this cohort. The 10-day acute rehabilitation was too short to achieve progress from severe to moderate independence in 60% of patients. The Barthel Index at discharge and a number of complications affect the mortality rate. These findings provide valuable insights into the complex dynamics of mortality and functional outcomes in bedridden geriatric patients.
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Affiliation(s)
- Jure Aljinović
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (A.P.); (M.M.); (D.D.); (I.M.)
- University Department of Health Studies, University of Split, 21000 Split, Croatia
| | - Blaž Barun
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (A.P.); (M.M.); (D.D.); (I.M.)
| | - Ana Poljičanin
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (A.P.); (M.M.); (D.D.); (I.M.)
- University Department of Health Studies, University of Split, 21000 Split, Croatia
| | - Darko Kero
- Study Program of Dental Medicine, School of Medicine, University of Split, 21000 Split, Croatia;
| | - Marija Matijaca
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (A.P.); (M.M.); (D.D.); (I.M.)
| | - Dora Dujmović
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (A.P.); (M.M.); (D.D.); (I.M.)
| | - Ivanka Marinović
- Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital Split, Šoltanska 1, 21000 Split, Croatia; (B.B.); (A.P.); (M.M.); (D.D.); (I.M.)
- University Department of Health Studies, University of Split, 21000 Split, Croatia
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Gadgaard NR, Varnum C, Nelissen RGHH, Vandenbroucke-Grauls C, Sørensen HT, Pedersen AB. Comorbidity and risk of infection among patients with hip fracture: a Danish population-based cohort study. Osteoporos Int 2023; 34:1739-1749. [PMID: 37330437 PMCID: PMC10511604 DOI: 10.1007/s00198-023-06823-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 06/06/2023] [Indexed: 06/19/2023]
Abstract
Impact of comorbidity on infection risk among hip fracture patients is unclear. We found high incidence of infection. Comorbidity was an important risk factor for infection up to 1 year after surgery. Results indicates a need for additional investment in pre- and postoperative programs that assist patients with high comorbidity. PURPOSE Comorbidity level and incidence of infection have increased among older patients with hip fracture. The impact of comorbidity on infection risk is unclear. We conducted a cohort study examining the absolute and relative risks of infection in relation to comorbidity level among hip fracture patients. METHODS Utilizing Danish population-based medical registries, we identified 92,600 patients aged ≥ 65 years undergoing hip fracture surgery between 2004 and 2018. Comorbidity was categorized by Charlson comorbidity index scores (CCI): none (CCI = 0), moderate (CCI = 1-2), or severe (CCI ≥ 3). Primary outcome was any hospital-treated infection. Secondary outcomes were hospital-treated pneumonia, urinary tract infection, sepsis, reoperation due to surgical-site infection (SSI), and a composite of any hospital- or community-treated infection. We calculated cumulative incidence and hazard ratios (aHRs) adjusted for age, sex, and surgery year, including 95% confidence intervals (CIs). RESULTS Prevalence of moderate and severe comorbidity was 40% and 19%, respectively. Incidence of any hospital-treated infection increased with comorbidity level within 0-30 days (none 13% vs. severe 20%) and 0-365 days (none 22% vs. 37% severe). Patients with moderate and severe comorbidity, compared to no comorbidity, had aHRs of 1.3 (CI: 1.3-1.4) and 1.6 (CI: 1.5-1.7) within 0-30 days, and 1.4 (CI: 1.4-1.5) and 1.9 (CI: 1.9-2.0) within 0-365, respectively. Highest incidence was observed for any hospital- or community-treated infection (severe 72%) within 0-365 days. Highest aHR was observed for sepsis within 0-365 days (severe vs. none: 2.7 (CI: 2.4-2.9)). CONCLUSION Comorbidity is an important risk factor for infection up to 1 year after hip fracture surgery.
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Affiliation(s)
- N R Gadgaard
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43, 8200, Aarhus, Denmark.
| | - C Varnum
- Department of Orthopedic Surgery, Lillebaelt Hospital, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - R G H H Nelissen
- Department of Orthopedics, Leiden University Medical Center, Leiden, The Netherlands
| | - C Vandenbroucke-Grauls
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43, 8200, Aarhus, Denmark
- Department of Medical Microbiology and Infection Control, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - H T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43, 8200, Aarhus, Denmark
| | - A B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43, 8200, Aarhus, Denmark
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Nguyen PV, Hjelholt TJ, Heide-Jørgensen U, Pedersen AB. Postoperative complications, mortality, and quality of in-hospital care among hip fracture patients with Parkinson's disease. Injury 2022; 53:2150-2157. [PMID: 35296377 DOI: 10.1016/j.injury.2022.03.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 02/17/2022] [Accepted: 03/05/2022] [Indexed: 02/02/2023]
Abstract
AIM The aim of this study was to investigate the association between Parkinson's disease (PD) and postoperative complications, mortality, and quality of in-hospital care in patients with hip fracture. METHODS We included patients aged 65+ years with an incident hip fracture from 2004-2017, registered in the Danish Multidisciplinary Hip Fracture Registry. Patients with PD were identified using diagnosis codes prior to hip fracture. Using log-binomial regression, we calculated both 30-day crude and adjusted risk ratios (aRR) with 95% confidence intervals (CIs) for the following outcomes: any hospital-treated infections, pneumonia, urinary tract infection, sepsis, community-treated infections, cardiovascular events, mortality, and fulfilment of quality indicators of in-hospital care. Analyses were adjusted for age, sex and Charlson comorbidity index score. RESULTS We identified 77,550 hip fracture patients of which 1,915 had PD. Compared to non-PD, patients with PD had higher risk of any hospital-treated - (aRR = 1.27 (CI: 1.10-1.45) and community-treated infection (aRR = 1.22 (CI: 1.13-1.32)), pneumonia (aRR = 1.38 (1.11-1.69)), urinary tract infection (aRR of 1.58 (CI: 1.28-1.92)) and sepsis (aRR = 1.18 (CI: 0.67-1.89)), but a reduced risk of cardiovascular events (aRR = 0.59 (CI: 0.41-0.82)). The aRR for 30-day mortality was 1.11 (CI: 0.97-1.27) for PD vs non-PD patients, and the aHR for 1-year mortality was 1.19 (CI: 1.09-1.30). The aRRs for fulfillment of all relevant quality indicators was about 1 for PD vs non-PD patients. CONCLUSION Hip fracture patients with PD have a higher risk of infections and mortality within 30 days after surgery after adjustment for sex, age, and comorbidity. They do, however, receive comparable quality of in-hospital care after hip fracture compared to non-PD patients.
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Affiliation(s)
- Peter Vn Nguyen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark.
| | - Thomas J Hjelholt
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark.
| | - Uffe Heide-Jørgensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark.
| | - Alma B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark.
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Vesterager JD, Kristensen MT, Pedersen AB. Loss of pre-fracture basic mobility status at hospital discharge for hip fracture is associated with 30-day post-discharge risk of infections - a four-year nationwide cohort study of 23,309 Danish patients. Injury 2021; 52:1833-1840. [PMID: 33941387 DOI: 10.1016/j.injury.2021.04.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/07/2021] [Accepted: 04/10/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND The loss of pre-fracture basic mobility status is associated with increased mortality and any readmission after hip fracture. However, it is less known if the loss of pre-fracture mobility has impact on acquiring a post-discharge infection. PURPOSE To examine if the loss of pre-fracture basic mobility status at hospital discharge was associated with hospital-treated or community-treated infections within 30-days of hospital discharge after hip fracture. METHODS Using the nationwide Danish Multidisciplinary Hip Fracture Registry from January 2014 through November 2017, we included 23,309 patients undergoing surgery for a first-time hip fracture. The Cumulated Ambulation Score (CAS, 0-6 points) was recorded using questionnaire at admission (pre-fracture CAS) and objectively assessed at discharge. The loss of any CAS-points at discharge compared with pre-fracture CAS was calculated and dichotomized (yes/no). Using Cox regression analyses, we estimated the hazard ratio (HR) with 95% confidence interval (CI) of any hospital-treated infection, hospital-treated pneumonia or community-treated infection adjusted for sex, age, body mass index, Charlson Comorbidity Index, residential status, type of fracture, and length of hospital stay (LOS). RESULTS Total of 12,046 (62%) patients lost their pre-fracture CAS status at discharge. Among patients who had lost their pre-fracture CAS, 6.0% developed a hospital-treated infection compared to 4% of those who did not lose their pre-fracture CAS. Correspondingly, 9.2% versus 6.2% developed a community-treated infection. The risk of 30-day post-discharge infection increased with increasing loss of any CAS points. The adjusted HRs for patients who had lost their pre-fracture CAS status, compared to patients who did not, was 1.34 (CI: 1.16-1.54) for hospital-treated infection, 1.35 (CI: 1.09 - 1.67) for pneumonia and 1.36 (CI: 1.21-1.52) for community-treated infection. CONCLUSION In this large national cohort study, we found that loss of pre-fracture basic mobility status upon hospital discharge was strongly associated with 30-day post-discharge risk of developing infection. These findings suggest a clinical importance of carefully focusing on regaining the pre-fracture basic mobility before discharging the patient.
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Affiliation(s)
- Jeppe D Vesterager
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
| | - Morten T Kristensen
- Physical Medicine and Rehabilitation Research, Copenhagen (PMR-C), Departments of Physiotherapy & Orthopaedic Surgery, Copenhagen University Hospital, Amager and Hvidovre & Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Alma B Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
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Wang P, Yuan Y, Xu K, Zhong H, Yang Y, Jin S, Yang K, Qi X. Biological applications of copper-containing materials. Bioact Mater 2021; 6:916-927. [PMID: 33210018 PMCID: PMC7647998 DOI: 10.1016/j.bioactmat.2020.09.017] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/10/2020] [Accepted: 09/15/2020] [Indexed: 12/11/2022] Open
Abstract
Copper is an indispensable trace metal element in the human body, which is mainly absorbed in the stomach and small intestine and excreted into the bile. Copper is an important component and catalytic agent of many enzymes and proteins in the body, so it can influence human health through multiple mechanisms. Based on the biological functions and benefits of copper, an increasing number of researchers in the field of biomaterials have focused on developing novel copper-containing biomaterials, which exhibit unique properties in protecting the cardiovascular system, promoting bone fracture healing, and exerting antibacterial effects. Copper can also be used in promoting incisional wounds healing, killing cancer cells, Positron Emission Tomography (PET) imaging, radioimmunological tracing and radiotherapy of cancer. In the present review, the biological functions of copper in the human body are presented, along with an overview of recent progress in our understanding of the biological applications and development of copper-containing materials. Furthermore, this review also provides the prospective on the challenges of those novel biomaterials for future clinical applications.
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Affiliation(s)
- Peng Wang
- Key Laboratory of Diagnostic Imaging and Interventional Radiology of Liaoning Province, Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Yonghui Yuan
- Clinical Research Center for Malignant Tumor of Liaoning Province, Cancer Hospital of China Medical University Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, 110042, China
| | - Ke Xu
- Key Laboratory of Diagnostic Imaging and Interventional Radiology of Liaoning Province, Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Hongshan Zhong
- Key Laboratory of Diagnostic Imaging and Interventional Radiology of Liaoning Province, Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Yinghui Yang
- Suzhou Silvan Medical Co., Ltd, Suzhou 215006, China
| | - Shiyu Jin
- Key Laboratory of Diagnostic Imaging and Interventional Radiology of Liaoning Province, Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Ke Yang
- Institute of Metal Research, Chinese Academy of Science, Shenyang 110016, China
| | - Xun Qi
- Key Laboratory of Diagnostic Imaging and Interventional Radiology of Liaoning Province, Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
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Vesterager JD, Kristensen PK, Petersen I, Pedersen AB. Hospital variation in the risk of infection after hip fracture surgery: a population-based cohort study including 29,598 patients from 2012-2017. Acta Orthop 2021; 92:215-221. [PMID: 33334210 PMCID: PMC8158240 DOI: 10.1080/17453674.2020.1863688] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Background and purpose - Understanding the key drivers of hospital variation in postoperative infections after hip fracture surgery is important for directing quality improvements. Therefore, we investigated variation in the risk of any infection, and subgroups of infections including pneumonia and sepsis after hip fracture surgery.Methods - In this nationwide population-based cohort study, all Danish patients aged ≥ 65 undergoing surgery for an incident hip fracture from 2012 to 2017 were included. Risk of postoperative infections, based on data from hospital registration (hospital-treated infections) and antibiotic dispensing (community-treated infections), were calculated using multilevel Poisson regression analysis. Hospital variation was evaluated by intra-class coefficient (ICC) and median risk ratio (MRR).Results - The risk of hospital-treated infection was 15%. The risk of community-treated infection was 24%. The adjusted risk varied between hospitals from 7.8-25% for hospital-treated infection and 16-34% for community-treated infection. The ICC indicated that 19% of the adjusted variance was due to hospital level for hospital-treated infection. The ICC for community-treated infections was 13%. The MRR showed a 2-fold increased risk for the average patient acquiring a hospital-treated infection at the highest risk hospital compared with the lowest risk hospital. For community-treated infection, the MRR was 1.4.Interpretation - Our results suggest that 20% of infections could be reduced by applying the top performing hospitals' approach. Nearly a 5th of the variation was at the hospital level. This suggests a more standardized approach to avoid postoperative infection after hip fracture surgery.Hip fracture is a leading cause of hospital admission among the elderly. The 30-day mortality following hip fracture surgery has been approximately 10% during the last few years in Denmark (Pedersen et al. 2017). Higher mortality after hip fracture has been associated with a range of hospital factors (Kristensen et al. 2016, Sheehan et al. 2016) and patient factors in observational studies (Roche et al. 2005). Furthermore, variation in 30-day mortality after hip fracture surgery has been observed between Danish hospitals, but not fully explained (Kristensen et al. 2019).
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Affiliation(s)
- Jeppe Damgren Vesterager
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; ,Correspondence:
| | - Pia Kjaer Kristensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; ,Department of Orthopedic Surgery, Regional Hospital Horsens, Horsens, Denmark;
| | - Irene Petersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; ,epartment of Primary Care and Population health, University College London, London, UK
| | - Alma Becic Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark;
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Huang HT, Cheng TL, Lin SY, Ho CJ, Chyu JY, Yang RS, Chen CH, Shen CL. Osteoprotective Roles of Green Tea Catechins. Antioxidants (Basel) 2020; 9:E1136. [PMID: 33207822 PMCID: PMC7696448 DOI: 10.3390/antiox9111136] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 11/08/2020] [Accepted: 11/12/2020] [Indexed: 02/07/2023] Open
Abstract
Osteoporosis is the second most common disease only secondary to cardiovascular disease, with the risk of fracture increasing with age. Osteoporosis is caused by an imbalance between osteoblastogenesis and osteoclastogenesis processes. Osteoclastogenesis may be enhanced, osteoblastogenesis may be reduced, or both may be evident. Inflammation and high reactive oxygen enhance osteoclastogenesis while reducing osteoblastogenesis by inducing osteoblast apoptosis and suppressing osteoblastic proliferation and differentiation. Catechins, the main polyphenols found in green tea with potent anti-oxidant and anti-inflammatory properties, can counteract the deleterious effects of the imbalance of osteoblastogenesis and osteoclastogenesis caused by osteoporosis. Green tea catechins can attenuate osteoclastogenesis by enhancing apoptosis of osteoclasts, hampering osteoclastogenesis, and prohibiting bone resorption in vitro. Catechin effects can be directly exerted on pre-osteoclasts/osteoclasts or indirectly exerted via the modulation of mesenchymal stem cells (MSCs)/stromal cell regulation of pre-osteoclasts through activation of the nuclear factor kB (RANK)/RANK ligand (RANKL)/osteoprotegerin (OPG) system. Catechins also can enhance osteoblastogenesis by enhancing osteogenic differentiation of MSCs and increasing osteoblastic survival, proliferation, differentiation, and mineralization. The in vitro effects of catechins on osteogenesis have been confirmed in several animal models, as well as in epidemiological observational studies on human subjects. Even though randomized control trials have not shown that catechins provide anti-fracture efficacy, safety data in the trials are promising. A large-scale, placebo-controlled, long-term randomized trial with a tea regimen intervention of optimal duration is required to determine anti-fracture efficacy.
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Affiliation(s)
- Hsuan-Ti Huang
- Orthopaedic Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan; (H.-T.H.); (T.-L.C.); (S.-Y.L.); (C.-J.H.)
- Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Departments of Orthopedics, College of Medicine, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Department of Orthopedics, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung 80145, Taiwan
- Regeneration Medicine and Cell Therapy Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
| | - Tsung-Lin Cheng
- Orthopaedic Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan; (H.-T.H.); (T.-L.C.); (S.-Y.L.); (C.-J.H.)
- Regeneration Medicine and Cell Therapy Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Department of Physiology, College of Medicine, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
| | - Sung-Yen Lin
- Orthopaedic Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan; (H.-T.H.); (T.-L.C.); (S.-Y.L.); (C.-J.H.)
- Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Departments of Orthopedics, College of Medicine, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Department of Orthopedics, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung 80145, Taiwan
| | - Cheng-Jung Ho
- Orthopaedic Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan; (H.-T.H.); (T.-L.C.); (S.-Y.L.); (C.-J.H.)
- Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Departments of Orthopedics, College of Medicine, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
| | - Joanna Y. Chyu
- School of Medicine, University of Texas Medical Branch, Galveston, TX 77555, USA;
| | - Rong-Sen Yang
- Department of Orthopedics, National Taiwan University Hospital, Taipei 100229, Taiwan;
| | - Chung-Hwan Chen
- Orthopaedic Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan; (H.-T.H.); (T.-L.C.); (S.-Y.L.); (C.-J.H.)
- Department of Orthopedics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Departments of Orthopedics, College of Medicine, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Department of Orthopedics, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung 80145, Taiwan
- Regeneration Medicine and Cell Therapy Research Center, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
- Institute of Medical Science and Technology, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
- Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 80701, Taiwan
| | - Chwan-Li Shen
- Department of Pathology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Center of Excellence for Integrative Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
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Kristensen PK, Röck ND, Christensen HC, Pedersen AB. The Danish Multidisciplinary Hip Fracture Registry 13-Year Results from a Population-Based Cohort of Hip Fracture Patients. Clin Epidemiol 2020; 12:9-21. [PMID: 32021467 PMCID: PMC6959215 DOI: 10.2147/clep.s231578] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 12/13/2019] [Indexed: 12/18/2022] Open
Abstract
AIM OF THE REGISTRY The aim of the Danish Multidisciplinary Hip Fracture Registry (DMHFR) is to collect data on processes of treatment, nursing care and rehabilitation as well as outcomes for patients with hip fracture in Denmark, and thereby monitor and improve the quality. STUDY POPULATION Hip fracture patients at age 65 or older that have undergone surgery with arthroplasty or internal fixation since 2004. MAIN VARIABLES DMHFR collects quality indicators and descriptive variables. Quality indicators include eight process performance measures within treatment, nursing care and rehabilitation, reflecting recommendations from the national clinical guideline for hip fracture patients, and three outcome measures including survival within 30-days, unplanned acute readmission within 30 days and reoperation within 2 years. Descriptive variables include a number of patient- and surgery-related characteristics. All data are collected prospectively. RESULTS By the end of 2018, the DMHFR included 86,438 hip fracture patients. Since 2006, all hospital departments in Denmark, treating patients with hip fracture, have reported improvement in quality of care and improvement in survival, and reoperation over time as well as high completeness of variables registration. CONCLUSION The DMHFR is a well-established nationwide clinical registry, which plays a key role for monitoring and improving hip fracture care in Denmark. The registry can further be linked to a range of other nationwide registries in order to answer a number of relevant clinical research questions.
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Affiliation(s)
- Pia Kjær Kristensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Orthopaedic Surgery, Horsens Regional Hospital, Horsens, Denmark
| | - Niels Dieter Röck
- Department of Orthopaedic Surgery, Odense University Hospital, Odense, Denmark
| | - Helle Collatz Christensen
- Danish Clinical Quality Program (RKKP) National Clinical Registries, Frederiksberg Hospital, Frederiksberg, Denmark
| | - Alma Becic Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
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12
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Kjørholt KE, Kristensen NR, Prieto-Alhambra D, Johnsen SP, Pedersen AB. Increased risk of mortality after postoperative infection in hip fracture patients. Bone 2019; 127:563-570. [PMID: 31340186 DOI: 10.1016/j.bone.2019.07.023] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 07/16/2019] [Accepted: 07/19/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Postoperative infection is a common complication in hip fracture patients and the risk appears to have increased during the last decade. However, the impact of infection on mortality after hip fracture surgery remains unclear. PURPOSE We aimed to examine the association between infection (any, as well as specific infections), with all-cause mortality following hip fracture surgery. METHODS Using Danish nationwide registries, we conducted a population-based cohort study on 74,771 hip fracture patients ≥65 years old operated from 2005 to 2016. We included hospital-treated infection as a time-varying exposure, and calculated 30-days mortality rate per 1000 person-years (PY). We used time-varying Cox Proportional Hazard Regression to compute 30-days adjusted hazards ratios (aHRs) with 95% confidence interval (CI) comparing the mortality of hip fracture patients with and without infections. We adjusted for sex, age, comorbidities, medication use, and marital status. RESULTS Within 30 days of surgery, 9592 (12.8%) patients developed a hospital-treated infection. Among these, 30-days mortality was 8.43 per 1000 PY compared with 3.34 among patients without infection (aHR = 2.72, 95% CI: 2.56-2.88). For patients who developed pneumonia, aHR was 4.18 (95% CI: 3.91-4.48), whereas the aHR was 8.86 (95% CI: 7.88-9.95) for patients who developed systemic sepsis. For patients who sustained reoperation due to infection, aHR was 2.95 (95%CI: 1.88-4.64). The mortality was higher in infected vs. non-infected patients irrespective of patients' age, sex and comorbidity. CONCLUSION Infection within 30 days of hip fracture surgery is associated with substantially increased mortality risk. Further research should improve our knowledge about patients at increased risk and prevention measures for specific infections.
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Affiliation(s)
- Kaja Eriksrud Kjørholt
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark.
| | - Nickolaj Risbo Kristensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Old Rd, Oxford OX3 7LD, United Kingdom
| | - Søren Paaske Johnsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark; Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Mølleparkvej 10, 9000 Aalborg, Denmark
| | - Alma Bečić Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
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