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Zhou YF, Wang J, Wang XL, Song SS, Bai Y, Li JL, Luo JY, Jin QQ, Cai WC, Yuan KM, Li J. A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression. Osteoporos Int 2024; 35:613-623. [PMID: 38062161 DOI: 10.1007/s00198-023-06988-0] [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: 06/16/2023] [Accepted: 11/20/2023] [Indexed: 03/22/2024]
Abstract
An independent correlation between pre-RDW and 1-year mortality after surgery in elderly hip fracture can be used to predict mortality in elderly hip fracture patients and has predictive significance in anemia patients. With further research, a treatment algorithm can be developed to potentially identify patients at high risk of preoperative mortality. INTRODUCTION Red blood cell distribution width (RDW) is an independent predictor of various disease states in elderly individuals, but its association with the prognosis of elderly hip fracture patients is controversial. This study aimed to evaluate the prognostic value of RDW in such patients, construct a prediction model containing RDW using random survival forest (RSF) and Cox regression analysis, and compare RDW in patients with and without anemia. METHODS We retrospectively analyzed the data of elderly patients who underwent hip fracture surgery, selected the best variables using RSF, stratified the independent variables by Cox regression analysis, constructed a 1-year mortality prediction model of elderly hip fracture with RDW, and conducted internal validation and external validation. RESULTS Two thousand one hundred six patients were included in this study. The RSF algorithm selects 12 important influencing factors, and Cox regression analysis showed that eight variables including preoperative RDW (pre-RDW) were independent risk factors for death within 1-year after hip fracture surgery in elderly patients. Stratified analysis showed that pre-RDW was still independently associated with 1-year mortality in the non-anemia group and not in the anemia group. The nomogram prediction model had high differentiation and fit, and the prediction model constructed by the total cohort of patients was also used for validation of patients in the anemia patients and obtained good clinical benefits. CONCLUSION An independent correlation between pre-RDW and 1-year mortality after surgery in elderly hip fracture can be used to predict mortality in elderly hip fracture patients and has predictive significance in anemia patients.
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Affiliation(s)
- Ying-Feng Zhou
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Jiao Wang
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Xin-Lin Wang
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Shu-Shu Song
- Department of Anesthesiology, Wenzhou Central Hospital, Zhejiang, China
| | - Yue Bai
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Jian-Lin Li
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Jing-Yu Luo
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Qi-Qi Jin
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Wei-Cha Cai
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China
| | - Kai-Ming Yuan
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China.
| | - Jun Li
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Key Laboratory of Pediatric Anesthesiology, Ministry of Education, Key Laboratory of Anesthesiology of Zhejiang Province, Wenzhou Medical University, Zhejiang, China.
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Weihs V, Frenzel S, Dedeyan M, Heinz T, Hajdu S, Frossard M. Red blood cell distribution width and Charlson comorbidity index help to identify frail polytraumatized patients : Experiences from a level I trauma center. Wien Klin Wochenschr 2023; 135:538-544. [PMID: 35943632 PMCID: PMC10558364 DOI: 10.1007/s00508-022-02063-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 07/10/2022] [Indexed: 10/15/2022]
Abstract
INTRODUCTION Little is known about the potential impact of the red blood cell distribution width (RDW) and pre-existing comorbidities on the late-phase survival of polytraumatized patients. METHODS A total of 173 polytraumatized patients were included retrospectively in this cohort study in a level I trauma center from January 2012 to December 2015. The Charlson comorbidity index (CCI) scores and RDW values were evaluated. RESULTS Out of all polytraumatized patients (n = 173), 72.8% (n = 126) were male, the mean ISS was 31.7 points (range 17-75) and the mean age was 45.1 years (range 18-93 years). Significantly higher RDW values (13.90 vs. 13.37; p = 0.006) and higher CCI scores (3.38 vs. 0.49; p < 0.001) were seen in elderly polytraumatized patients (age > 55 years). RDW values > 13.75% (p = 0.033) and CCI scores > 2 points (p = 0.001) were found to have a significant influence on the late-phase survival of polytraumatized patients. Age > 55 years (p = 0.009, HR 0.312; 95% confidence interval (CI) 0.130-0.749) and the presence of severe traumatic brain injury (TBI) (p = 0.007; HR 0.185; 95% CI 0.054-0.635) remained as independent prognostic factors on the late-phase survival after multivariate analysis. CONCLUSION Even younger elderly polytraumatized patients (> 55 years of age) showed significant higher RDW values and higher CCI scores. In addition to the presence of severe TBI and age > 55 years, RDW value > 13.75% on admission and CCI score > 2 might help to identify the "younger" frail polytraumatized patient at risk.
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Affiliation(s)
- Valerie Weihs
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
| | - Stephan Frenzel
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Michél Dedeyan
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Thomas Heinz
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Stefan Hajdu
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Martin Frossard
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
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Weihs V, Frossard M. Reply to comments on Valerie Weihs et al. Red blood cell distribution width and Charlson comorbidity index help to identify frail polytraumatized patients : Experiences from a level I trauma center. Wien Klin Wochenschr 2023; 135:547. [PMID: 36547762 DOI: 10.1007/s00508-022-02135-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022]
Affiliation(s)
- Valerie Weihs
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
| | - Martin Frossard
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
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Özel M, Altıntaş M, Tatlıparmak AC. Predictors of one-year mortality following hip fracture surgery in elderly. PeerJ 2023; 11:e16008. [PMID: 37701840 PMCID: PMC10494834 DOI: 10.7717/peerj.16008] [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: 06/03/2023] [Accepted: 08/09/2023] [Indexed: 09/14/2023] Open
Abstract
Background Understanding mortality risk factors is critical to reducing mortality among elderly hip fracture patients. To investigate the effects of admission and post-operative levels of distribution width of red blood cells (RDW), albumin, and RDW/albumin (RA) ratio on predicting 1-year mortality following hip fracture surgery. Methods A retrospective study was conducted on 275 elderly patients who underwent hip fracture surgery in a tertiary hospital between January 2018 and January 2022. Deaths within one year of hip fracture were defined as the deceased group. The survivors were defined as those who survived for at least one year. The relationship between admission and post-operative levels of RDW, albumin, RA, and mortality within one year after hip surgery was assessed statistically, including binary logistic regression analysis. The study also assessed other factors related to mortality. Results One-year mortality was 34.7%. There was a 3.03-year (95% CI [1.32-4.75]) difference between the deceased (79.55 ± 8.36 years) and survivors (82.58 ± 7.41 years) (p < 0.001). In the deceased group, the mean hemoglobin (HGB) values at admission (p = 0.022) and post-operative (p = 0.04) were significantly lower. RDW values at admission (p = 0.001) and post-op (p = 0.001) were significantly lower in the survivor group. The mean albumin values at admission (p < 0.001) and post-operative (p < 0.001) in the survivor group were significantly higher than in the deceased group. A significant difference was found between the survivor group and the deceased group in terms of mean RA ratio at admission and post-operative (p < 0.001). Based on binary logistic regression analysis, presence of chronic obstructive pulmonary disease (COPD) (OR 3.73, 95% CI [1.8-7.76]), RDW (OR 1.78, 95% CI [1.48-2.14]), and albumin (OR 0.81, 95% CI [0.75-0.87]), values at admission were found to be independent predictors of 1-year mortality in elderly patients with hip fracture. Conclusion Based on this study, presence of COPD, higher RDW, and lower albumin levels at admission were independent predictors of 1-year mortality following hip fracture surgery in the elderly.
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Affiliation(s)
- Mehmet Özel
- Department of Emergency Medicine, University of Health Sciences, Diyarbakir Gazi Yasargil Training and Research Hospital, Diyarbakir, Turkey
| | - Mustafa Altıntaş
- Department of Orthopedic Surgery, University of Health Sciences, Diyarbakir Gazi Yasargil Research and Training Hospital, Diyarbakir, Turkey
| | - Ali Cankut Tatlıparmak
- Department of Emergency Medicine, Uskudar University, Faculty of Medicine, İstanbul, Turkey
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Proximal Femur Fractures in the Elderly-A Novel Modality to Predict Mortality: The Neutrophil-to-Lymphocyte Ratio. J Clin Med 2023; 12:jcm12020456. [PMID: 36675385 PMCID: PMC9865272 DOI: 10.3390/jcm12020456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/28/2022] [Accepted: 01/03/2023] [Indexed: 01/08/2023] Open
Abstract
Background: The assessment and identification of elderly patients with proximal femur fractures (PFF) who are at high risk of postoperative mortality may influence the treatment decision-making process. The purpose of this study was to determine whether the neutrophil-to-lymphocyte ratio (NLR) could be used to predict postoperative mortality in the elderly population. Methods: A four-year retrospective cohort study of electronic medical records was conducted at a single tertiary care hospital between 2015 and 2018. Data from 1551 patients aged 65 years and older who underwent surgical treatment for PFF were collected and analyzed. The data included complete blood counts at admission, demographic information, underlying illnesses, type of surgery, and postoperative mortality and complications during the first year of follow-up. A survival analysis model was utilized. Results: The mean age was 90.76 ± 1.88 years, 1066 (68.7%) women. Forty-four (2.8%) patients experienced postoperative infection. A higher NLR0 was independently associated with higher all-cause mortality rates in patients who underwent surgical treatment for PFF (p = 0.041). Moreover, the mean NLR0 value was higher when the death occurred earlier after surgery (p < 0.001). Conclusions: When combined with other clinical and laboratory findings, NLR0 levels may serve as a potentially valuable, inexpensive, and reliable prognostic biomarker to improve risk stratification for elderly patients who are candidates for PFF surgery. Furthermore, with additional research, we could potentially develop a treatment algorithm to identify patients at high risk of postoperative mortality.
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Red cell distribution width–A mortality predictor in older adults with proximal femoral fracture. Arch Gerontol Geriatr 2022; 100:104623. [DOI: 10.1016/j.archger.2022.104623] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 01/12/2022] [Accepted: 01/16/2022] [Indexed: 12/13/2022]
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Hamdan M, Haddad BI, Jabaiti M, Alryalat SA, Abdulelah AA, Alabed SH, Alabdullah TF, Aouant AN, Shahein HE, Dweik HI, Matar K, Alisi MS. Does Red Cell Distribution Width Predict Hip Fracture Mortality Among the Arab Population? A Single-Center Retrospective Cohort Study. Int J Gen Med 2022; 14:10195-10202. [PMID: 34992438 PMCID: PMC8710672 DOI: 10.2147/ijgm.s343538] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/14/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Hip fractures impose significant morbidity and mortality. Red cell distribution width (RDW) appears to be an emerging tool in predicting mortality following hip fractures. Several factors can influence the RDW value including genetic factors and ethnicity. The purpose of the study was to assess the relation between RDW level at admission and hip fracture mortality within 6 months among Arab/Middle East populations. METHODS We conducted a single-center retrospective cohort study including 549 patients (274 female and 275 male) diagnosed with a hip fracture undergoing surgery from February 2016 to December 2019. All included patients shared the same country of origin which is Arab Middle East country. Statistical analysis, including binary regression, was performed to assess the relationship between RDW and mortality within 6 months of admission. Other predictors of mortality following hip fracture surgery were also assessed. RESULTS The mean age was 76.42 (±9.19) years. Seventy (12.8%) of participants died within 6 months. No statistically significant association (P=0.053) between RDW level at admission and mortality within 6 months of surgery was found. Binary regression demonstrated that the only independent predictors of mortality were age (P= 0.003, odds ratio 1.048 with 95% CI 1.016 to 1.080) and male gender (P= 0.021, odds ratio 1.872 with 95% CI 1.100 to 3.185). CONCLUSION Although the previous studies reported that RDW is one of the predictors of mortality in hip fracture patients, our study found no relation in the Arab population. This finding may confirm the influence of genetic factors and ethnicity on RDW value. We recommend further large-scale multicenter studies to solidly establish the relationship between RDW and hip fracture mortality among the Arab/Middle East population.
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Affiliation(s)
- Mohammad Hamdan
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan
| | - Bassem I Haddad
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan
| | - Mohammad Jabaiti
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan
| | - Saif Aldeen Alryalat
- Department of Special Surgery, Division of Ophthalmology, School of Medicine, The University of Jordan, Amman, Jordan
| | | | | | | | - Alia N Aouant
- School of Medicine, The University of Jordan, Amman, Jordan
| | | | - Hadeel I Dweik
- School of Medicine, The University of Jordan, Amman, Jordan
| | - Khaled Matar
- School of Medicine, American University of the Caribbean, Cupecoy, Sint Maarten
| | - Mohammed S Alisi
- Department of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan.,Faculty of Medicine, Islamic University of Gaza, Gaza, Palestine
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Trevisan C, Gallinari G, Carbone A, Klumpp R. Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score. Osteoporos Int 2021; 32:2023-2031. [PMID: 33811493 DOI: 10.1007/s00198-021-05932-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 03/17/2021] [Indexed: 12/25/2022]
Abstract
UNLABELLED We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with femoral fractures may have relevant implications for their management. INTRODUCTION Usage of risk prediction models to estimate postoperative mortality risk for hip fracture patients represents a useful tool to give insight in the prognosis and assist in clinical decision-making. The aim of this study was to identify a predictive model able to determine the possible presence of distinct subgroups of hip fracture patients by risk classes in the mid-term. METHODS Three hundred twenty-three hip fracture patients were evaluated, and mortality rates at 30 days, 1, 2, and 4 years were calculated. A multivariate logistic regression analysis using mortality 4 years after fracture as a dependent variable found ASA score, age, cognitive status, gender, and Charlson Comorbidities Index (CCI) as significant risk factors. Using these items, a score named ASAgeCoGeCC was implemented and compared with CCI and Nottingham Hip Fracture Score (NHFS) by a receiver operating characteristic (ROC) curve. RESULTS The area under the ROC curve for ASAgeCoGeCC was always greater than that of CCI and NHFS and ranged between 0.804 and 0.820 suggesting an excellent discrimination. The ASAgeCoGeCC logistic model showed also a good calibration. Patients were divided in 3 groups: a low risk group, an intermediate risk group with an odds ratio for 4-year mortality of 5.6 (95% CI 2.9-10.6), and a high risk group with an odds ratio 21.6 (95% CI 10.6-44). CONCLUSION The ASAgeCoGeCC Score is a predictive tool for mortality after hip fracture with good calibration and excellent discrimination properties. It is the first scoring system stratifying hip fracture patients' mortality at 4 years from fracture.
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Affiliation(s)
- C Trevisan
- UOC Ortopedia e Traumatologia, Ospedale Bolognini Seriate ASST-Bergamo Est, Via Paderno 21, 24065, Seriate, BG, Italia.
| | - G Gallinari
- UOC Ortopedia e Traumatologia, Ospedale Bolognini Seriate ASST-Bergamo Est, Via Paderno 21, 24065, Seriate, BG, Italia
| | - A Carbone
- UOC Ortopedia e Traumatologia, Ospedale Bolognini Seriate ASST-Bergamo Est, Via Paderno 21, 24065, Seriate, BG, Italia
| | - R Klumpp
- UOC Ortopedia e Traumatologia, Ospedale Bolognini Seriate ASST-Bergamo Est, Via Paderno 21, 24065, Seriate, BG, Italia
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Li Y, Chen M, Lv H, Yin P, Zhang L, Tang P. A novel machine-learning algorithm for predicting mortality risk after hip fracture surgery. Injury 2021; 52:1487-1493. [PMID: 33386157 DOI: 10.1016/j.injury.2020.12.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 11/04/2020] [Accepted: 12/13/2020] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Although several risk stratification models have been developed to predict hip fracture mortality, efforts are still being placed in this area. Our aim is to (1) construct a risk prediction model for long-term mortality after hip fracture utilizing the RSF method and (2) to evaluate the changing effects over time of individual pre- and post-treatment variables on predicting mortality. METHODS 1330 hip fracture surgical patients were included. Forty-five admission and in-hospital variables were analyzed as potential predictors of all-cause mortality. A random survival forest (RSF) algorithm was applied in predictors identification. Cox regression models were then constructed. Sensitivity analyses and internal validation were performed to assess the performance of each model. C statistics were calculated and model calibrations were further assessed. RESULTS Our machine-learning RSF algorithm achieved a c statistic of 0.83 for 30-day prediction and 0.75 for 1-year mortality. Additionally, a COX model was also constructed by using the variables selected by RSF, c statistics were shown as 0.75 and 0.72 when applying in 2-year and 4-year mortality prediction. The presence of post-operative complications remained as the strongest risk factor for both short- and long-term mortality. Variables including fracture location, high serum creatinine, age, hypertension, anemia, ASA, hypoproteinemia, abnormal BUN, and RDW became more important as the length of follow-up increased. CONCLUSION The RSF machine-learning algorithm represents a novel approach to identify important risk factors and a risk stratification models for patients undergoing hip fracture surgery is built through this approach to identify those at high risk of long-term mortality.
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Affiliation(s)
- Yi Li
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China
| | - Ming Chen
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China
| | - Houchen Lv
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China
| | - Pengbin Yin
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China.
| | - Licheng Zhang
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China.
| | - Peifu Tang
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China.
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Age over 65 years and high levels of C-reactive protein are associated with the risk of preoperative deep vein thrombosis following closed distal femur fractures: a prospective cohort study. J Orthop Surg Res 2020; 15:559. [PMID: 33239071 PMCID: PMC7687830 DOI: 10.1186/s13018-020-02089-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 11/10/2020] [Indexed: 11/30/2022] Open
Abstract
Background In this study, we investigated the epidemiological characteristics and predictors of preoperative new-onset deep vein thrombosis (DVT) in adult patients with closed distal femur fractures (DFFs). Methods The study was designed as a prospective cohort trial at the Third Hospital of Hebei Medical University. From October 2018 to June 2020, a total of 160 patients with closed DFFs were enrolled to assess the location and prognosis of preoperative DVT. The patients were followed up for 2 months. Duplex ultrasonography (DUS) was used to diagnose patients with DVT. The patients were divided into two groups (DVT group and non-DVT group). The DVT was then classified into proximal, distal, and mixed thromboses. The Mann-Whitney U test or t test, receiver operating characteristic (ROC) analyses, univariate Chi-square analyses, and multiple logistic regression analyses were used to analyze the adjusted predictors of DVT. Results The overall incidence of preoperative DVTs was 52.5% (n = 84), which was diagnosed at a mean period of 3.1 days after injury. Among patients diagnosed with DVTs, 50.0% (n = 42) had distal thrombosis while 47.6% (n = 40) had mixed thrombosis. The calf muscle veins were the most common sites of DVTs (90.5%, n = 76). Of note, 45.2% (n = 38) of diagnosed DVTs were completely recanalized at a mean period of 12.0 days after the initial (first) diagnosis. Multivariate analysis revealed that age of ≥ 65 years of age (odds ratio [OR], 4.390; 95% confidence interval [CI] 1.727–11.155; p = 0.002), C-reactive protein (CRP) levels exceeding 11 mg/L (OR 4.158; 95% CI 1.808–11.289; p = 0.001), platelet (PLT) levels over 217 × 109/L (OR, 2.55; 95% CI 1.07–6.07; p = 0.035), D-dimer levels over 1.0 mg/L (OR 3.496; 95% CI 1.483–8.237; p = 0.004), and an American Society of Anesthesiologists (ASA) score of III-V (OR 2.753; 95% CI 1.216–6.729; p = 0.026) were the independent risk factors of preoperative DVT. Conclusions High levels of CRP, PLT, D-dimer, ASA, and ≥ 65 years of age increase the risk of preoperative DVTs in adult patients with closed DFFs. Thus, the prediction of preoperative DVTs can significantly be improved by identifying older patients over the age of 65, and establishing the biochemical cut-off values of CRP, PLT, ASA, and D-dimer. Trial registration No. 2018-026-1, 24 October 2018, prospectively registered. This trial was registered prospectively on 24 October 2018 before the first participant was enrolled. This study protocol conformed to the Declaration of Helsinki and approved by the Institutional Review Board. The ethics committee approved the study on the factors of prognosis for patients with fractures. Data used in this study were obtained from the patients who underwent orthopedic surgery between October 2018 and June 2020.
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Red Cell Distribution Width as a Novel Predictor of Mortality and Complications After Primary Shoulder Arthroplasty. J Am Acad Orthop Surg 2020; 28:802-807. [PMID: 31842062 DOI: 10.5435/jaaos-d-19-00499] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION Variability in red blood cell volume can occur in disease states and is quantified using a simple equation, yielding the relative distribution of width (RDW). Recent literature has correlated RDW with outcomes in many cardiac disease states, hip fractures, and even revision hip arthroplasty. The association with outcomes in total shoulder arthroplasty (TSA) is yet to be delineated. The purpose of this study was to investigate the possible relationship between preoperative RDW levels and mortality and other adverse outcomes after primary TSA. METHODS Patients who underwent primary TSA and had RDW values on record were identified in a national database. Patients were then grouped by RDW, and the incidence of complications was calculated for each group, including mortality within 1 year, periprosthetic infection within 1 year, acute venous thromboembolism within 30 days, and readmission to a hospital within 30 days. A threshold value of RDW for increased complications was established using receiver operator characteristic (ROC) curves. RESULTS Five thousand two hundred forty-five patients who underwent TSA with a recorded RDW were included in the study. An RDW cutoff of 16% was found to be significantly associated with mortality at 1 year (P < 0.0001), readmission (P < 0.0001), and infection (P = 0.013) on ROC analysis. When controlling for demographic and comorbidity values, a high RDW was markedly associated with a higher mortality rate (odds ratio 2.0, 95% confidence interval 18 to 2.2) and readmission rate (odds ratio 1.5, 95% confidence interval 1.3 to 1.8). A high RDW was not markedly associated with increased infection or venous thromboembolism rate in the multivariate analysis. DISCUSSION Increasing preoperative RDW is associated with increasing complication rates after TSA. This value can be used as an indirect, real-time preoperative predictor of adverse outcomes and most importantly one-year mortality and hospital readmission. LEVEL OF EVIDENCE III retrospective cohort study.
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Chen M, Li Y, Lv H, Yin P, Zhang L, Tang P. Quantitative proteomics and reverse engineer analysis identified plasma exosome derived protein markers related to osteoporosis. J Proteomics 2020; 228:103940. [PMID: 32805449 DOI: 10.1016/j.jprot.2020.103940] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 06/01/2020] [Accepted: 08/10/2020] [Indexed: 12/24/2022]
Abstract
Alongside an aging population, osteoporosis has become increasingly common, representing a major public health problem. Human blood provides the predominant matrix for pathological targets underlining disease mechanisms. In the present study, the protein profiles of blood plasma exosomes from patients with osteoporosis, osteopenia, and those with normal bone mass were compared. The aim of the study was to search for potential novel diagnostic/therapeutic targets for further investigation in osteoporosis. A total of 60 participants were included from the PLAGH Hip Fracture Database. Quantitative proteomics was carried out to profile the plasma exosome derived proteins from patients diagnosed with osteoporosis, osteopenia, and normal bone mass, respectively. A Parallel reaction monitoring (PRM) analysis was further carried out to validate the identified proteins. Bio-informatics analyses including GO annotation and reverse engineering of gene regulatory networks analysis were applied in annotating the biological relevance of the identified proteins. Forty-five differentially expressed proteins were identified in the discovery dataset and four of them, PSMB9, AARS, PCBP2, and VSIR were further verified in a validation set. Based on the results, an exosomal-proteins index was constructed to classify individuals with osteoporosis from those without, an AUC of 0.805 (95% CI 0.620-0.926, p < 0.001) was achieved in classification performance assessment. Additionally, a reverse engineer of the regulatory network analysis identified and predicted the proteins which may interact with the four target proteins identified, providing references for further investigations into the pathological mechanisms of osteoporosis.
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Affiliation(s)
- Ming Chen
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China
| | - Yi Li
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China
| | - Houchen Lv
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China
| | - Pengbin Yin
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China.
| | - Licheng Zhang
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China.
| | - Peifu Tang
- Department of Orthopedics, Chinese PLA General Hospital, Beijing 100853, China; National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing 100853, China.
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13
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Pallardo Rodil B, Gómez Pavón J, Menéndez Martínez P. Hip fracture mortality: Predictive models. Med Clin (Barc) 2020; 154:221-231. [PMID: 31859006 DOI: 10.1016/j.medcli.2019.09.020] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 09/22/2019] [Accepted: 09/23/2019] [Indexed: 12/18/2022]
Abstract
The preoperative estimation of the risk of mortality after a hip fracture is very useful to plan time of surgery and perioperative care, inform patients and families about the prognosis and allows comparisons between different units. Different models have been developed to stratify mortality risk, but they show heterogeneity in terms of type of population and variables included, monitoring the time and statistical methods used, which makes it difficult to establish comparisons between them. The vast majority of them are awaiting external validation in populations different from those in which they were originally proposed. So far, the Nottingham Hip Fracture Score (NHFS) and the Orthopaedic Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (O-POSSUM) are the most commonly used models. The NHFS is simpler and faster to apply, and by not including intraoperative variables can be used at the time of admission.
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Affiliation(s)
- Beatriz Pallardo Rodil
- Unidad de Ortogeriatría, Servicio de Geriatría, Hospital Central de la Cruz Roja San José y Santa Adela, Madrid, España
| | - Javier Gómez Pavón
- Unidad de Ortogeriatría, Servicio de Geriatría, Hospital Central de la Cruz Roja San José y Santa Adela, Madrid, España.
| | - Pablo Menéndez Martínez
- Unidad de Ortogeriatría, Servicio de Traumatología Hospital Central de la Cruz Roja San José y Santa Adela, Madrid, España
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14
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Bobeff EJ, Fortuniak J, Bryszewski B, Wiśniewski K, Bryl M, Kwiecień K, Stawiski K, Jaskólski DJ. Mortality After Traumatic Brain Injury in Elderly Patients: A New Scoring System. World Neurosurg 2019; 128:e129-e147. [PMID: 30981800 DOI: 10.1016/j.wneu.2019.04.060] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 04/05/2019] [Accepted: 04/06/2019] [Indexed: 12/29/2022]
Abstract
BACKGROUND Traumatic brain injury (TBI) remains a life-threatening condition characterized by growing incidence worldwide, particularly in the aging population, in which the primary goal of treatment appears to be avoidance of chronic institutionalization. METHODS To identify independent predictors of 30-day mortality or vegetative state in a geriatric population and calculate an intuitive scoring system, we screened 480 patients after TBI treated at a single department of neurosurgery over a 2-year period. We analyzed data of 214 consecutive patients aged ≥65 years, including demographics, medical history, cause and time of injury, neurologic state, radiologic reports, and laboratory results. A predictive model was developed using logistic regression modeling with a backward stepwise feature selection. RESULTS The median Glasgow Coma Scale (GCS) score on admission was 14 (interquartile range, 12-15), whereas the 30-day mortality or vegetative state rate amounted to 23.4%. Starting with 20 predefined features, the final prediction model highlighted the importance of GCS motor score (odds ratio [OR], 0.17; 95% confidence interval [CI], 0.09-0.32); presence of comorbid cardiac, pulmonary, or renal dysfunction or malignancy (OR, 2.86; 9 5% CI, 1.08-7.61); platelets ≤100 × 109 cells/L (OR, 13.60; 95% CI, 3.33-55.49); and red blood cell distribution width coefficient of variation ≥14.5% (OR, 2.91; 95% CI, 1.09-7.78). The discovered coefficients were used for nomogram development. It was further simplified to facilitate clinical use. The proposed scoring system, Elderly Traumatic Brain Injury Score (eTBI Score), yielded similar performance metrics. CONCLUSIONS The eTBI Score is the first scoring system designed specifically for older adults. It could constitute a framework for clinical decision-making and serve as an outcome predictor. Its capability to stratify risk provides reliable criteria for assessing efficacy of TBI management.
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Affiliation(s)
- Ernest J Bobeff
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland
| | - Jan Fortuniak
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland.
| | - Bartosz Bryszewski
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland
| | - Karol Wiśniewski
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland
| | - Maciej Bryl
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland
| | - Katarzyna Kwiecień
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland
| | - Konrad Stawiski
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Dariusz J Jaskólski
- Department of Neurosurgery and Neuro-oncology, Medical University of Lodz, Barlicki University Hospital, Lodz, Poland
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15
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Red Cell Distribution Width: An Unacknowledged Predictor of Mortality and Adverse Outcomes Following Revision Arthroplasty. J Arthroplasty 2018; 33:3514-3519. [PMID: 30072185 DOI: 10.1016/j.arth.2018.06.035] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/18/2018] [Accepted: 06/25/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Revision total joint arthroplasties (TJAs) have been empirically associated with significant postoperative morbidity and mortality. Red blood cell distribution width (RDW), a frequently measured hematological parameter, has been shown to predict mortality in hip fracture patients. However, its utility in risk-stratifying patients before revision TJA remains unknown. The aim of this study was to investigate the possible relationship between preoperative RDW levels and outcome of revision arthroplasty in terms of mortality, adverse outcomes, and length of hospital stay. METHODS A single-institution retrospective study was conducted on 4633 patients who underwent revision TJA (3289 hips and 1344 knees) between 2000 and September 2016. Of those, 656 (14.1%) surgeries were performed due to periprosthetic joint infection, and 3977 (85.9%) were aseptic revisions. The association between preoperative RDW and various outcomes, including 1-year mortality, in-hospital medical complications, length of hospital stay, and 90-day all-cause readmission, was examined. RESULTS The average age of patients in the cohort was 65.4 ± 12.9 years. The average Charlson comorbidity index was 0.6 (standard deviation = 1.0), with 691 patients (14.9%) having 2 or more comorbidities. Mean preoperative RDW level was 14.4% (standard deviation = 1.8). After adjusting for covariates, higher RDW levels were statistically significantly associated with mortality (adjusted odds ratio [OR], 1.25; 95% confidence interval [CI], 1.13-1.39; P < .001), any in-hospital medical complications (adjusted OR, 1.12; 95% CI, 1.07-1.18; P < .001), and readmission (adjusted OR, 1.07; 95% CI, 1.02-1.13; P < .001). CONCLUSION Higher levels of preoperative RDW appeared to be associated with less optimal outcomes after revision TJA. Adult reconstruction orthopedic surgeons should be aware of this predictive factor and exercise caution with TJA revision patients with high values of preoperative RDW. RDW could be included in the routine perioperative workup and used to counsel patients on their postoperative risk.
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16
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Yin P, Lv H, Li Y, Meng Y, Zhang L, Zhang L, Tang P. Hip fracture patients who experience a greater fluctuation in RDW during hospital course are at heightened risk for all-cause mortality: a prospective study with 2-year follow-up. Osteoporos Int 2018; 29:1559-1567. [PMID: 29656346 DOI: 10.1007/s00198-018-4516-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 03/28/2018] [Indexed: 12/24/2022]
Abstract
UNLABELLED This study aims to detect whether there remains valuable prognostic information in fluctuation of red cell distribution width (RDW) in hip fracture patients. Results show that this readily available parameter may provide a more effective strategy for assessment of mortality risk, therefore providing a reference for clinical planning and decision-making. INTRODUCTION Prognostic values have been found in the fluctuation of some hematologic parameters. The red cell distribution width (RDW) routinely reported with all complete blood cell counts (CBC) has proven to be associated with poor outcomes in various diseases. However, whether the fluctuation in RDW is predictive of long-term mortality in hip fracture patients treated with surgery remains unknown. METHODS One thousand three hundred thirty hip fracture patients who underwent surgery from January 1, 2000 to November 18, 2012 were recruited in this prospective cohort study. Fluctuation in the RDW between admission and discharge was measured, and a Kaplan-Meier (KM) analysis and multivariable Cox regression model were applied to evaluate the relationship between this fluctuation and mortality. Risk factors for a larger fluctuation were detected by using Logistic regression analyses. RESULTS In addition to the admission RDW, a high RDW level at the time of discharge was also associated with an increased risk of death, while no significant difference was found in the postoperative RDW. Fluctuation in the RDW between admission and discharge was an independent risk predictor for 2-year mortality (HR 1.45 95%CI 1.06-2.00, p = 0.022). Factors affecting the change in the RDW between admission and discharge included both the demographic characteristics of the patients and clinical interventions. CONCLUSION Hip fracture patients who experience a greater fluctuation in RDW during the hospital course are at a heightened risk for 2-year all-cause mortality.
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Affiliation(s)
- P Yin
- Department of Orthopedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - H Lv
- Department of Orthopedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Y Li
- Department of Orthopedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Y Meng
- Department of Orthopedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - L Zhang
- Department of Clinical Laboratory, Chinese PLA General Hospital, Beijing, 100853, China
| | - L Zhang
- Department of Orthopedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People's Republic of China.
| | - P Tang
- Department of Orthopedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, People's Republic of China.
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17
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Williams AD, Jaroudi S, Peiris AN. Red blood cell distribution width (RDW) and its potential significance to orthopedic surgeons. J Orthop 2018; 15:52. [PMID: 29657438 DOI: 10.1016/j.jor.2018.01.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 01/13/2018] [Indexed: 10/18/2022] Open
Affiliation(s)
- Austin D Williams
- Texas Tech University Health Sciences Center School of Medicine, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA.,Department of Internal Medicine and Clinical Research Institute, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA
| | - Sarah Jaroudi
- Texas Tech University Health Sciences Center School of Medicine, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA.,Department of Internal Medicine and Clinical Research Institute, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA
| | - Alan N Peiris
- Texas Tech University Health Sciences Center School of Medicine, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA.,Department of Internal Medicine and Clinical Research Institute, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA
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18
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Ji HM, Han J, Bae HW, Won YY. Combination of measures of handgrip strength and red cell distribution width can predict in-hospital complications better than the ASA grade after hip fracture surgery in the elderly. BMC Musculoskelet Disord 2017; 18:375. [PMID: 28854917 PMCID: PMC5577758 DOI: 10.1186/s12891-017-1738-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 08/25/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Early detection of a high-risk patient following hip fracture surgery is of paramount clinical importance. American Society of Anesthesiologists (ASA) grading is an easy and efficient index in predicting a worse outcome. The red cell distribution width (RDW) and handgrip strength, are gaining interest as a prediction tool as well. Accordingly, the objective of this study was to investigate the potential association between ASA, RDW and grip strength and detect the effects of combining RDW and grip strength for predicting early complication after hip fracture surgery in the elderly. METHODS Eighty-three consecutive patients operated with hip fracture surgeries were identified retrospectively. Age, gender, diagnosis, RDW, handgrip strength and ASA grade were recorded. Admission to the intensive care unit (ICU), length of ICU stay, transfer to other departments, in-hospital death, and readmission were investigated as early complications. Logistic regression analysis was applied to evaluate the estimates in predicting complications, and receiver operating characteristics curves were constructed to compare the estimates and decide which method is more accurate. RESULTS After the surgery, 52% of the patients were admitted to the ICU. From the analyses, RDW and grip strength had no significant relation with each other. However, the ICU stay was correlated with RDW and grip strength but not for the ASA grade. A higher ASA grade and grip strength could independently predict ICU admission. The combination of RDW with grip strength outweighed the ASA grade in predictive ability. CONCLUSIONS The current study indicated that combining RDW and grip strength measures can be efficient and clinically relevant in predicting early postoperative complications after fragility hip fracture in the elderly. Due to the objectivity and availability of those two approaches, patient care, and functional outcomes are expected to be improved by adopting these measures in the clinical setting.
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Affiliation(s)
- Hyung-Min Ji
- Department of Joint Surgery, Siheung 21C Hospital, Siheung, South Korea.
| | - Jun Han
- Department of Orthopedics, Ajou University School of Medicine, Suwon, South Korea
| | - Hi-Won Bae
- Department of Orthopedics, Ajou University School of Medicine, Suwon, South Korea
| | - Ye-Yeon Won
- Department of Orthopedics, Ajou University School of Medicine, Suwon, South Korea
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19
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Yılmaz N, Yılmaz M. The Relationship of Vitamin B12 Deficiency and Red Cell Distribution Width-Platelet Ratio. JOURNAL OF CLINICAL AND EXPERIMENTAL INVESTIGATIONS 2016. [DOI: 10.5799/jcei.328604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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20
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Cheung YN, Shum HP, Chan KC, Yan WW. Preoperative red cell distribution width: Not a useful prognostic indicator for 30-day mortality in patients who undergo major- or ultra-major noncardiac surgery. Indian J Crit Care Med 2016; 20:647-652. [PMID: 27994379 PMCID: PMC5144526 DOI: 10.4103/0972-5229.194008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Background: Red cell distribution width (RDW) has been shown to be associated with mortality in cardiac surgical patients. This study investigates the association of RDW with the 30-day mortality for those patients who undergo major- or ultra-major noncardiac surgery. Methods: Patients who received major- or ultra-major noncardiac surgery between July 2012 and May 2013 were included in the study and patients those with preoperative hemoglobin <10 g/day were excluded from the study. Patients were followed till day 30 from the date of surgery or death, whichever occurred earlier. Results: The overall 30-day mortality for major- and ultra-major surgery was 11.4%. The mean RDW of the 30-day survivors was 13.6 ± 1.6 and that of nonsurvivors was 14.2 ± 2.1 (P < 0.001). Other factors that were significantly different (P < 0.05) between survivors and nonsurvivors included age, sex, preoperative pulse rate, current or ex-alcoholic, the American Society of Anesthesiologists score, diabetes mellitus, use of antihypertensives, sepsis with 48 h before surgery, preoperative hemoglobin, white cell count, sodium, urea, creatinine, albumin, international normalized ratio (INR), pH, base excess, estimated blood loss, and emergency surgery. Logistic regression revealed that preoperative RDW > 13.35% (P = 0.025, odds ratio [OR]: 1.52), INR (P = 0.008, OR: 4.49), albumin level (P < 0.001, OR: 1.10), use of antihypertensives (P = 0.001, OR: 1.82), and preoperative pulse rate (P = 0.006, OR: 1.02) independently predicted the 30-day mortality. However, the area under receiver operating characteristic curve for the prediction of 30-day mortality using RDW was only 0.614. Conclusions: Although preoperative RDW independently predicted 30-day mortality in patients who underwent major- or ultra-major noncardiac surgery, it may not serve as an influential prognostic indicator in view of its low sensitivity and specificity.
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Affiliation(s)
- Yik-Nang Cheung
- Department of Anaesthesia, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China
| | - Hoi-Ping Shum
- Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China
| | - King-Chung Chan
- Department of Anaesthesia and Intensive Care, Tuen Mun Hospital, Tuen Mun, New Territories, Hong Kong SAR, China
| | - Wing-Wa Yan
- Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China
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