1
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Fisher A, Fisher L, Srikusalanukul W. Prediction of Osteoporotic Hip Fracture Outcome: Comparative Accuracy of 27 Immune-Inflammatory-Metabolic Markers and Related Conceptual Issues. J Clin Med 2024; 13:3969. [PMID: 38999533 PMCID: PMC11242639 DOI: 10.3390/jcm13133969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 06/26/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024] Open
Abstract
Objectives: This study, based on the concept of immuno-inflammatory-metabolic (IIM) dysregulation, investigated and compared the prognostic impact of 27 indices at admission for prediction of postoperative myocardial injury (PMI) and/or hospital death in hip fracture (HF) patients. Methods: In consecutive HF patient (n = 1273, mean age 82.9 ± 8.7 years, 73.5% females) demographics, medical history, laboratory parameters, and outcomes were recorded prospectively. Multiple logistic regression and receiver-operating characteristic analyses (the area under the curve, AUC) were used to establish the predictive role for each biomarker. Results: Among 27 IIM biomarkers, 10 indices were significantly associated with development of PMI and 16 were indicative of a fatal outcome; in the subset of patients aged >80 years with ischaemic heart disease (IHD, the highest risk group: 90.2% of all deaths), the corresponding figures were 26 and 20. In the latter group, the five strongest preoperative predictors for PMI were anaemia (AUC 0.7879), monocyte/eosinophil ratio > 13.0 (AUC 0.7814), neutrophil/lymphocyte ratio > 7.5 (AUC 0.7784), eosinophil count < 1.1 × 109/L (AUC 0.7780), and neutrophil/albumin × 10 > 2.4 (AUC 0.7732); additionally, sensitivity was 83.1-75.4% and specificity was 82.1-75.0%. The highest predictors of in-hospital death were platelet/lymphocyte ratio > 280.0 (AUC 0.8390), lymphocyte/monocyte ratio < 1.1 (AUC 0.8375), albumin < 33 g/L (AUC 0.7889), red cell distribution width > 14.5% (AUC 0.7739), and anaemia (AUC 0.7604), sensitivity 88.2% and above, and specificity 85.1-79.3%. Internal validation confirmed the predictive value of the models. Conclusions: Comparison of 27 IIM indices in HF patients identified several simple, widely available, and inexpensive parameters highly predictive for PMI and/or in-hospital death. The applicability of IIM biomarkers to diagnose and predict risks for chronic diseases, including OP/OF, in the preclinical stages is discussed.
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Affiliation(s)
- Alexander Fisher
- Department of Geriatric Medicine, The Canberra Hospital, ACT Health, Canberra 2605, Australia
- Department of Orthopaedic Surgery, The Canberra Hospital, ACT Health, Canberra 2605, Australia
- Medical School, Australian National University, Canberra 2601, Australia
| | - Leon Fisher
- Frankston Hospital, Peninsula Health, Melbourne 3199, Australia
| | - Wichat Srikusalanukul
- Department of Geriatric Medicine, The Canberra Hospital, ACT Health, Canberra 2605, Australia
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2
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Sparks R, Rachmaninoff N, Lau WW, Hirsch DC, Bansal N, Martins AJ, Chen J, Liu CC, Cheung F, Failla LE, Biancotto A, Fantoni G, Sellers BA, Chawla DG, Howe KN, Mostaghimi D, Farmer R, Kotliarov Y, Calvo KR, Palmer C, Daub J, Foruraghi L, Kreuzburg S, Treat JD, Urban AK, Jones A, Romeo T, Deuitch NT, Moura NS, Weinstein B, Moir S, Ferrucci L, Barron KS, Aksentijevich I, Kleinstein SH, Townsley DM, Young NS, Frischmeyer-Guerrerio PA, Uzel G, Pinto-Patarroyo GP, Cudrici CD, Hoffmann P, Stone DL, Ombrello AK, Freeman AF, Zerbe CS, Kastner DL, Holland SM, Tsang JS. A unified metric of human immune health. Nat Med 2024:10.1038/s41591-024-03092-6. [PMID: 38961223 DOI: 10.1038/s41591-024-03092-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 05/28/2024] [Indexed: 07/05/2024]
Abstract
Immunological health has been challenging to characterize but could be defined as the absence of immune pathology. While shared features of some immune diseases and the concept of immunologic resilience based on age-independent adaptation to antigenic stimulation have been developed, general metrics of immune health and its utility for assessing clinically healthy individuals remain ill defined. Here we integrated transcriptomics, serum protein, peripheral immune cell frequency and clinical data from 228 patients with 22 monogenic conditions impacting key immunological pathways together with 42 age- and sex-matched healthy controls. Despite the high penetrance of monogenic lesions, differences between individuals in diverse immune parameters tended to dominate over those attributable to disease conditions or medication use. Unsupervised or supervised machine learning independently identified a score that distinguished healthy participants from patients with monogenic diseases, thus suggesting a quantitative immune health metric (IHM). In ten independent datasets, the IHM discriminated healthy from polygenic autoimmune and inflammatory disease states, marked aging in clinically healthy individuals, tracked disease activities and treatment responses in both immunological and nonimmunological diseases, and predicted age-dependent antibody responses to immunizations with different vaccines. This discriminatory power goes beyond that of the classical inflammatory biomarkers C-reactive protein and interleukin-6. Thus, deviations from health in diverse conditions, including aging, have shared systemic immune consequences, and we provide a web platform for calculating the IHM for other datasets, which could empower precision medicine.
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Grants
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1ZIAAI001152 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- Z01 AI000825-24 LIR Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 1 ZIA AI001202-07 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- Z-01-A-00646 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- Z-01-A-00647 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- Z-01-A-00646 Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID)
- 5R01AI170116 U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)
- U19AI089992 U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER)
- U19AI089992 U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER)
- ZIA-HL006089-12 U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- 1ZIAHG200371 U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
- 1ZIAHG200373 U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
- 1ZIAHG200374 U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
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Affiliation(s)
- Rachel Sparks
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Nicholas Rachmaninoff
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
- Graduate Program in Biological Sciences, University of Maryland, College Park, MD, USA
| | - William W Lau
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Dylan C Hirsch
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Neha Bansal
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Andrew J Martins
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Jinguo Chen
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Candace C Liu
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Foo Cheung
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Laura E Failla
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Angelique Biancotto
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Giovanna Fantoni
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Brian A Sellers
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Daniel G Chawla
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Katherine N Howe
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Darius Mostaghimi
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Rohit Farmer
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Yuri Kotliarov
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA
| | - Katherine R Calvo
- Hematology Section, Department of Laboratory Medicine, Clinical Center, NIH, Bethesda, MD, USA
| | - Cindy Palmer
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Janine Daub
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Ladan Foruraghi
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Samantha Kreuzburg
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Jennifer D Treat
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Amanda K Urban
- Clinical Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Anne Jones
- Inflammatory Disease Section, NHGRI, NIH, Bethesda, MD, USA
| | - Tina Romeo
- Inflammatory Disease Section, NHGRI, NIH, Bethesda, MD, USA
| | | | | | | | - Susan Moir
- Laboratory of Immunoregulation, NIAID, NIH, Bethesda, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, NIA, Baltimore, MD, USA
| | - Karyl S Barron
- Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA
| | | | - Steven H Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | | | - Neal S Young
- Hematology Branch, NHLBI, NIH, Bethesda, MD, USA
| | | | - Gulbu Uzel
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | | | | | | | | | | | - Alexandra F Freeman
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - Christa S Zerbe
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | | | - Steven M Holland
- Laboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD, USA
| | - John S Tsang
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
- NIH Center for Human Immunology, Inflammation, and Autoimmunity, NIAID, NIH, Bethesda, MD, USA.
- Center for Systems and Engineering Immunology, Departments of Immunobiology and Biomedical Engineering, Yale University School of Medicine, New Haven, CT, USA.
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3
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Li X, Shang H, Tang Q, Guo L, Li Z. Relationship between neutrophil lymphocyte ratio and red blood cell distribution width and respiratory failure in COPD patients. Medicine (Baltimore) 2024; 103:e38512. [PMID: 38875435 PMCID: PMC11175887 DOI: 10.1097/md.0000000000038512] [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: 11/28/2023] [Revised: 03/18/2024] [Accepted: 05/17/2024] [Indexed: 06/16/2024] Open
Abstract
The neutrophil lymphocyte ratio (NLR) and red blood cell distribution width (RDW) have been repeatedly demonstrated to be associated with risk of severity, progression, and prognosis of chronic obstructive pulmonary disease (COPD), but data on respiratory failure (RF) in patients with COPD are very limited. This study aimed to examine the relationship between NLR and RDW and the incident RF in patients with COPD. This is a retrospective study that reviewed data by examining the hospitalization medical records to identify those who were admitted with a diagnosis of COPD. Based on whether RF occurred during index hospitalization, patients were classified as COPD group and COPD combined with RF group. Also, healthy controls of the same age and sex were enrolled in a 1:1 ratio as the COPD group. Univariate comparisons were performed between three groups to examine differences. With the COPD group as reference, multivariable logistic regression was formed to identify the relationship between NLR and RDW and RF, with adjustment for multiple covariates. There were 136 healthy controls, 136 COPD patients and 62 patients with COPD combined with RF included for analysis. There was a significant difference for eight variables, including age, WBC, neutrophil, NLR, RDW, platelet, PLR, and CRP. The Spearman test showed the significant correlation between NLR and WBC (correlation coefficient, 0.38; P = .008), NLR and RDW (correlation coefficient, 0.32; P = .013), and NLR and CRP level (correlation coefficient, 0.54; P < .001). The multivariable logistic regression showed that age (every additional 10 years) (OR, 1.785), NLR (OR, 1.716), RDW (OR, 2.266), and CRP (OR, 1.163) were independently associated with an increased risk of RF. This study demonstrated the independent associative effect of NLR and RDW with RF in patients with COPD, exhibiting the potential clinical role in evaluating the progress of COPD to RF.
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Affiliation(s)
- Xinghong Li
- Department of Respiratory and Critical Care Medicine, Hebei Chest Hospital, Shijiazhuang, China
| | - Huanxia Shang
- Department of Respiratory and Critical Care Medicine, Hebei Chest Hospital, Shijiazhuang, China
| | - Qian Tang
- Department of Respiratory and Critical Care Medicine, Hebei Chest Hospital, Shijiazhuang, China
| | - Lijuan Guo
- Department of Respiratory and Critical Care Medicine, Hebei Chest Hospital, Shijiazhuang, China
| | - Zhensheng Li
- Department of Respiratory and Critical Care Medicine, Hebei Chest Hospital, Shijiazhuang, China
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4
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Wang P, Zhang Y, Xu W, Zheng Y, Jia L, He J, He M, Chen L, Hao P, Xiao Y, Peng L, Chong W, Hai Y, You C, Fang F. Association between elevated preoperative red cell distribution width and mortality after brain tumor craniotomy. Neurosurg Rev 2024; 47:237. [PMID: 38802619 DOI: 10.1007/s10143-024-02462-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/17/2024] [Accepted: 05/18/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Red cell distribution width (RDW) has been recognized as a potential inflammatory biomarker, with elevated levels associated with adverse outcomes in various diseases. However, its role in predicting outcomes after brain tumor craniotomy remains unclear. We aimed to assess whether preoperative RDW influences mortality and postoperative complications in patients undergoing brain tumor craniotomy. METHODS This retrospective cohort study analyzed serum RDW levels in patients undergoing brain tumor craniotomy at West China Hospital. RDW was evaluated in two forms: RDW-CV and RDW-SD, and was categorized into four quartiles for analysis by using logistic regression and multivariate analysis to adjust for confounding. RESULTS The study encompassed 10,978 patients undergoing brain tumor craniotomy. our analysis revealed no significant difference in 30-day mortality across various RDW-CV levels. However, we observed a dose-response relationship with preoperative RDW-CV levels in assessing long-term mortality risks. Specifically, patients with RDW-CV levels of 12.6-13.2% (HR 1.04, 95% CI 1.01-1.18), 13.2-13.9% (HR 1.12, 95% CI 1.04-1.26), and > 13.9% (HR 1.34, 95% CI 1.18-1.51) exhibited a significantly higher hazard of long-term mortality compared to those with RDW-CV < 12.6%. When preoperative RDW-CV was analyzed as a continuous variable, for each 10% increase in RDW-CV, the adjusted OR of long-term mortality was 1.09 (95% CI 1.05-1.13). we also observed significant associations between preoperative higher RDW-CV levels and certain postoperative complications including acute kidney injury (OR 1.46, 95% CI: 1.10-1.94), pneumonia infection (OR 1.19 95% CI: 1.05-1.36), myocardial infarction (OR 1.32, 95% CI: 1.05-1.66), readmission (OR 1.15, 95% CI: 1.01-1.30), and a prolonged length of hospital stay (OR 1.11, 95% CI: 1.02-1.21). For RDW-SD levels, there was no significant correlation for short-term mortality, long-term mortality, and postoperative complications. CONCLUSIONS Our study showed elevated preoperative RDW-CV is significantly associated with increased long-term mortality and multiple postoperative complications, but no such association is observed with RDW-SD. These findings show the prognostic importance of RDW-CV, reinforcing its potential as a valuable tool for risk stratification in the preoperative evaluation of brain tumor craniotomy patients.
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Affiliation(s)
- Peng Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, Sichuan, 610041, China
| | - Yu Zhang
- Center for Evidence-Based Medical, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Wenhao Xu
- Center for Evidence-Based Medical, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Yuxin Zheng
- Center for Evidence-Based Medical, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Lu Jia
- Department of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
| | - Jialing He
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, Sichuan, 610041, China
| | - Miao He
- Department of Anesthesia, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Lvlin Chen
- Department of Critical Care Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Pengfei Hao
- Center for Evidence-Based Medical, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Yangchun Xiao
- Center for Evidence-Based Medical, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Liyuan Peng
- Department of Critical Care Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Weelic Chong
- Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Yang Hai
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, Sichuan, 610041, China
| | - Fang Fang
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
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5
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Früh A, Frey D, Hilbert A, Jelgersma C, Uhl C, Nissimov N, Truckenmüller P, Wasilewski D, Rallios D, Hoppe M, Bayerl S, Hecht N, Vajkoczy P, Wessels L. Preoperatively-determined Red Distribution Width (RDW) predicts prolonged length of stay after single-level spinal fusion in elderly patients. BRAIN & SPINE 2024; 4:102827. [PMID: 38784126 PMCID: PMC11112267 DOI: 10.1016/j.bas.2024.102827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 04/06/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
Introduction Elderly patients receiving lumbar fusion surgeries present with a higher risk profile, which necessitates a robust predictor of postoperative outcomes. The Red Distribution Width (RDW) is a preoperative routinely determined parameter that reflects the degree of heterogeneity of red blood cells. Thereby, RDW is associated with frailty in hospital-admitted patients. Research question This study aims to elucidate the potential of RDW as a frailty biomarker predictive of prolonged hospital stays following elective mono-segmental fusion surgery in elderly patients. Material and methods In this retrospective study, we included all patients with age over 75 years that were treated via lumbar single-level spinal fusion from 2015 to 2022 at our tertiary medical center. Prolonged length of stay (pLOS) was defined as a length ≥ the 3rd quartile of LOS of all included patients. Classical correlation analysis, Receiver-operating characteristic (ROC) and new machine learning algorithms) were used. Results A total of 208 patients were included in the present study. The median age was 77 (IQR 75-80) years. The median LOS of the patients was 6 (IQR 5-8) days. The data shows a significant positive correlation between RDW and LOS. RDW is significantly enhanced in the pLOS group. New machine learning approaches with the imputation of multiple variables can enhance the performance to an AUC of 71%. Discussion and conclusion RDW may serve as a predictor for a pLOS in elderly. These results are compelling because the determination of this frailty biomarker is routinely performed at hospital admission. An improved prognostication of LOS could enable healthcare systems to distribute constrained hospital resources efficiently, fostering evidence-based decision-making processes.
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Affiliation(s)
- Anton Früh
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- BIH Biomedical Innovation Academy, BIH Charité Junior Digital Clinician Scientist Program, Charitéplatz 1, 10117, Berlin, Germany
| | - Dietmar Frey
- CLAIM – Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany
| | - Adam Hilbert
- CLAIM – Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany
| | - Claudius Jelgersma
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christian Uhl
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nitzan Nissimov
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Peter Truckenmüller
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - David Wasilewski
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Dimitrios Rallios
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Matthias Hoppe
- Medical Faculty Leipzig, Leipzig University, Leipzig, Germany
| | - Simon Bayerl
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nils Hecht
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lars Wessels
- Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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6
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Hao M, Jiang S, Tang J, Li X, Wang S, Li Y, Wu J, Hu Z, Zhang H. Ratio of Red Blood Cell Distribution Width to Albumin Level and Risk of Mortality. JAMA Netw Open 2024; 7:e2413213. [PMID: 38805227 PMCID: PMC11134218 DOI: 10.1001/jamanetworkopen.2024.13213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/25/2024] [Indexed: 05/29/2024] Open
Abstract
Importance The ratio of red blood cell distribution width (RDW) to albumin concentration (RAR) has emerged as a reliable prognostic marker for mortality in patients with various diseases. However, whether RAR is associated with mortality in the general population remains unknown. Objectives To explore whether RAR is associated with all-cause and cause-specific mortality and to elucidate their dose-response association. Design, Setting, and Participants This population-based prospective cohort study used data from participants in the 1998-2018 US National Health and Nutrition Examination Survey (NHANES) and from the UK Biobank with baseline information provided from 2006 to 2010. Included participants had complete data on serum albumin concentration, RDW, and cause of death. The NHANES data were linked to the National Death Index records through December 31, 2019. For the UK Biobank, dates and causes of death were obtained from the National Health Service Information Centre (England and Wales) and the National Health Service Central Register Scotland (Scotland) to November 30, 2022. Main Outcomes and Measures Potential associations between RAR and the risk of all-cause and cause-specific mortality were evaluated using Cox proportional hazards regression models. Restricted cubic spline regressions were applied to estimate possible nonlinear associations. Results In NHANES, 50 622 participants 18 years of age or older years were included (mean [SD] age, 48.6 [18.7] years; 26 136 [51.6%] female), and their mean (SD) RAR was 3.15 (0.51). In the UK Biobank, 418 950 participants 37 years of age or older (mean [SD], 56.6 [8.1] years; 225 038 [53.7%] female) were included, and their mean RAR (SD) was 2.99 (0.31). The NHANES documented 7590 deaths over a median (IQR) follow-up of 9.4 (5.1-14.2) years, and the UK Biobank documented 36 793 deaths over a median (IQR) follow-up of 13.8 (13.0-14.5) years. According to the multivariate analysis, elevated RAR was significantly associated with greater risk of all-cause mortality (NHANES: hazard ratio [HR], 1.83 [95% CI, 1.76-1.90]; UK Biobank: HR, 2.08 [95% CI, 2.03-2.13]), as well as mortality due to malignant neoplasm (NHANES: HR, 1.89 [95% CI, 1.73-2.07]; UK Biobank: HR, 1.93 [95% CI, 1.86-2.00]), heart disease (NHANES: HR, 1.88 [95% CI, 1.74-2.03]; UK Biobank: HR, 2.42 [95% CI, 2.29-2.57]), cerebrovascular disease (NHANES: HR, 1.35 [95% CI, 1.07-1.69]; UK Biobank: HR, 2.15 [95% CI, 1.91-2.42]), respiratory disease (NHANES: HR, 1.99 [95% CI, 1.68-2.35]; UK Biobank: HR, 2.96 [95% CI, 2.78-3.15]), diabetes (NHANES: HR, 1.55 [95% CI, 1.27-1.90]; UK Biobank: HR, 2.83 [95% CI, 2.35-3.40]), and other causes of mortality (NHANES: HR, 1.97 [95% CI, 1.86-2.08]; UK Biobank: HR, 2.40 [95% CI, 2.30-2.50]) in both cohorts. Additionally, a nonlinear association was observed between RAR levels and all-cause mortality in both cohorts. Conclusions and Relevance In this cohort study, a higher baseline RAR was associated with an increased risk of all-cause and cause-specific mortality in the general population. These findings suggest that RAR may be a simple, reliable, and inexpensive indicator for identifying individuals at high risk of mortality in clinical practice.
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Affiliation(s)
- Meng Hao
- Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesion Regulation and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
- Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Nansha District, Guangzhou, China
- Fudan Zhangjiang Institute, Shanghai, China
| | - Shuai Jiang
- Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesion Regulation and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Jingdong Tang
- Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesion Regulation and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Xiangnan Li
- Department of Macromolecular Science, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China
| | - Shuming Wang
- Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China
| | - Yi Li
- Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China
| | - Jingyi Wu
- Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China
| | - Zixin Hu
- Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, China
| | - Hui Zhang
- Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesion Regulation and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Pan J, Sun J, Goncalves I, Kessler M, Hao Y, Engström G. Red cell distribution width and its polygenic score in relation to mortality and cardiometabolic outcomes. Front Cardiovasc Med 2023; 10:1294218. [PMID: 38054099 PMCID: PMC10694461 DOI: 10.3389/fcvm.2023.1294218] [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: 09/14/2023] [Accepted: 11/03/2023] [Indexed: 12/07/2023] Open
Abstract
Introduction Elevated red cell distribution width (RDW) has been associated with a range of health outcomes. This study aims to examine prognostic and etiological roles of RDW levels, both phenotypic and genetic predisposition, in predicting cardiovascular outcomes, diabetes, chronic kidney disease (CKD) and mortality. Methods We studied 27,141 middle-aged adults from the Malmö Diet and Cancer study (MDCS) with a mean follow up of 21 years. RDW was measured with a hematology analyzer on whole blood samples. Polygenic scores for RDW (PGS-RDW) were constructed for each participant using genetic data in MDCS and published summary statistics from genome-wide association study of RDW (n = 408,112). Cox proportional hazards regression was used to assess associations between RDW, PGS-RDW and cardiovascular outcomes, diabetes, CKD and mortality, respectively. Results PGS-RDW was significantly associated with RDW (Pearson's correlation coefficient = 0.133, p < 0.001). RDW was significantly associated with incidence of stroke (hazard ratio (HR) per 1 standard deviation = 1.06, 95% confidence interval (CI): 1.02-1.10, p = 0.003), atrial fibrillation (HR = 1.09, 95% CI: 1.06-1.12, p < 0.001), heart failure (HR = 1.13, 95% CI: 1.08-1.19, p < 0.001), venous thromboembolism (HR = 1.21, 95% CI: 1.15-1.28, p < 0.001), diabetes (HR = 0.87, 95% CI: 0.84-0.90, p < 0.001), CKD (HR = 1.08, 95% CI: 1.03-1.13, p = 0.004) and all-cause mortality (HR = 1.18, 95% CI: 1.16-1.20, p < 0.001). However, PGS-RDW was significantly associated with incidence of diabetes (HR = 0.96, 95% CI: 0.94-0.99, p = 0.01), but not with any other tested outcomes. Discussion RDW is associated with mortality and incidence of cardiovascular diseases, but a significant association between genetically determined RDW and incident cardiovascular diseases were not observed. However, both RDW and PGS-RDW were inversely associated with incidence of diabetes, suggesting a putative causal relationship. The relationship with incidence of diabetes needs to be further studied.
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Affiliation(s)
- Jingxue Pan
- Division of Child Healthcare, Department of Paediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Jiangming Sun
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | | | - Yan Hao
- Division of Child Healthcare, Department of Paediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Regeneron Genetics Center, Tarrytown, NY, United States
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Essawi K, Dobie G, Shaabi MF, Hakami W, Saboor M, Madkhali AM, Hamami AAH, Allallah WH, Akhter MS, Mobarki AA, Hamali HA. Comparative Analysis of Red Blood Cells, White Blood Cells, Platelet Count, and Indices in Type 2 Diabetes Mellitus Patients and Normal Controls: Association and Clinical Implications. Diabetes Metab Syndr Obes 2023; 16:3123-3132. [PMID: 37822802 PMCID: PMC10563775 DOI: 10.2147/dmso.s422373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 09/04/2023] [Indexed: 10/13/2023] Open
Abstract
Background Diabetes mellitus (DM) is a major health burden affecting 537 million adults worldwide, characterized by chronic metabolic disorder and various complications. This case control study aimed to assess the impact of type 2 diabetes mellitus (T2DM), including hyperglycemia levels, on hematological parameters and complete blood count (CBC) derived parameters. Methods A total of 250 known diabetic patients from the Jazan Diabetic Center, Saudi Arabia, between January 2021 and December 2022, along with 175 healthy adult controls were recruited from Jazan Hospital's blood donation center. Demographic characteristics, medical histories, and relevant factors such as gender, age, BMI, treatment, disease duration, and comorbidities were collected with informed consent. Results The results of the red blood cell (RBC) count, RBC indices, and mean platelet volume showed significant differences between patients and controls, while the white cell (WBC) and platelet count were comparable between the two groups. CBC-derived parameters, especially neutrophil/lymphocyte ratio (NLR), and platelet/neutrophil ratio (PNR) exhibited significant differences. Conclusion CBC and derived parameters serve as inexpensive tools for T2DM patients monitoring, indicating early blood cell alterations and potential development of anemia. Further studies are needed to explore their role in predicting T2DM pathogenesis and progression, aiming to reduce severe complications, mortality and morbidity.
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Affiliation(s)
- Khaled Essawi
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Gasim Dobie
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Misk F Shaabi
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Waleed Hakami
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Muhammad Saboor
- Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Aymen M Madkhali
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Abdullah A H Hamami
- Department of Laboratory & Blood Bank, Prince Mohammed bin Nasser Hospital, Ministry of Health, Jazan, Saudi Arabia
| | - Wael H Allallah
- Department of Laboratory & Blood Bank, Prince Mohammed bin Nasser Hospital, Ministry of Health, Jazan, Saudi Arabia
| | - Mohammad S Akhter
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Abdullah A Mobarki
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Hassan A Hamali
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
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Rutter CE, Millard LAC, Borges MC, Lawlor DA. Exploring regression dilution bias using repeat measurements of 2858 variables in ≤49 000 UK Biobank participants. Int J Epidemiol 2023; 52:1545-1556. [PMID: 37336529 PMCID: PMC10555784 DOI: 10.1093/ije/dyad082] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 05/30/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Measurement error in exposures and confounders can bias exposure-outcome associations but is rarely considered. We aimed to assess random measurement error of all continuous variables in UK Biobank and explore approaches to mitigate its impact on exposure-outcome associations. METHODS Random measurement error was assessed using intraclass correlation coefficients (ICCs) for all continuous variables with repeat measures. Regression calibration was used to correct for random error in exposures and confounders, using the associations of red blood cell distribution width (RDW), C-reactive protein (CRP) and 25-hydroxyvitamin D [25(OH)D] with mortality as illustrative examples. RESULTS The 2858 continuous variables with repeat measures varied in sample size from 109 to 49 121. They fell into three groups: (i) baseline visit [529 variables; median (interquartile range) ICC = 0.64 (0.57, 0.83)]; (ii) online diet by 24-h recall [22 variables; 0.35 (0.30, 0.40)] and (iii) imaging measures [2307 variables; 0.85 (0.73, 0.94)]. Highest ICCs were for anthropometric and medical history measures, and lowest for dietary and heart magnetic resonance imaging.The ICCs (95% confidence interval) for RDW, CRP and 25(OH)D were 0.52 (0.51, 0.53), 0.29 (0.27, 0.30) and 0.55 (0.54, 0.56), respectively. Higher RDW and levels of CRP were associated with higher risk of all-cause mortality, and higher concentration of 25(OH)D with lower risk. After correction for random measurement error in the main exposure, the associations all strengthened. Confounder correction did not influence estimates. CONCLUSIONS Random measurement error varies widely and is often non-negligible. For UK Biobank we provide relevant statistics and adaptable code to help other researchers explore and correct for this.
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Affiliation(s)
- Charlotte E Rutter
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Louise A C Millard
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol NIHR Biomedical Research Centre, University of Bristol, Bristol, UK
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10
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Johnson MM, Gicking JC, Keys DA. Evaluation of red blood cell distribution width, neutrophil-to-lymphocyte ratio, and other hematologic parameters in canine acute pancreatitis. J Vet Emerg Crit Care (San Antonio) 2023; 33:587-597. [PMID: 37573255 DOI: 10.1111/vec.13325] [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: 01/13/2022] [Revised: 06/15/2022] [Accepted: 06/20/2022] [Indexed: 08/14/2023]
Abstract
OBJECTIVE To determine if RBC distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), and other hematological parameters are associated with increased odds of in-hospital mortality, increased length of hospitalization (LOH), or disease severity as measured by the Canine Acute Pancreatitis Severity (CAPS) score in dogs with acute pancreatitis (AP). DESIGN Retrospective, multicenter study from January 2016 to August 2020. SETTING Four private emergency and specialty referral centers. ANIMALS On initial case search, 118 client-owned dogs were identified with a clinical diagnosis of AP. Out of these cases, 114 dogs met inclusion criteria, defined as sudden onset of ≥2 compatible clinic signs (lethargy, anorexia, vomiting, or abdominal pain), a specific canine pancreatic lipase concentration >400 μg/L, hospital admission, as well as CBC and serum biochemistry run within 48 hours of initial hospitalization. Disease severity was calculated and measured using the CAPS score, in addition to LOH and in-hospital mortality. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Clinical endpoints were in-hospital mortality, LOH, and disease severity, as evaluated by the CAPS score. Overall in-hospital mortality was 36.8%. NLR was significantly associated with survival, with a higher percentage being associated with an increased likelihood of nonsurvival (odds ratio: 1.1, 95% confidence interval: 1.0-1.2; P = 0.006, adjusted P = 0.04). Increased NLR was found to be significantly associated with a longer LOH based on the unadjusted P-value (P = 0.02) but was not statistically significant based on a P-value adjusted for multiple comparisons (P = 0.12). No significant associations were noted when RDW, platelet-to-lymphocyte ratio, WBC count, mean platelet volume, RDW-to-platelet ratio, or RDW-to-total serum calcium ratio was evaluated against outcome measures. CONCLUSIONS This study retrospectively evaluated the prognostic utility of several readily available hematological parameters in dogs hospitalized for AP. Dogs with an increased NLR may have a higher risk of in-hospital mortality and increased LOH, although future prospective studies are necessary to confirm these findings.
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Affiliation(s)
- Meghan M Johnson
- Emergency & Critical Care Service, BluePearl Specialty + Emergency Pet Hospital, Lafayette, Colorado, USA
| | - John C Gicking
- Emergency & Critical Care Service, BluePearl Specialty + Emergency Pet Hospital, Tampa, Florida, USA
| | - Deborah A Keys
- Kaleidoscope Statistics Veterinary Medical Research Consulting, Athens, Georgia, USA
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11
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Almetairi KN, Alasmari SZ, Makkawi MH, Shaikh AA. Prevalence, hematological parameters, and coagulation profiles: Cardiovascular diseases statistics in the Asir region, Saudi Arabia. Saudi Med J 2023; 44:385-393. [PMID: 37062554 PMCID: PMC10153605 DOI: 10.15537/smj.2023.44.4.20220746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 02/16/2023] [Indexed: 04/18/2023] Open
Abstract
OBJECTIVES To determine the prevalence of cardiovascular disease (CVD) types in the Asir region of Saudi Arabia and the importance of hematological testing for CVD patients in the context of disease management. METHODS This retrospective study comprised 416 CVD patients, and samples were divided based the type of CVD. The Mann Whitney U test was used to compare patients' hematological markers and coagulation profiles to those of healthy controls. RESULTS The rate of ischemic heart disease (IHD) was 80.7% that of other CVDs, and the rate of ST-elevation myocardial infarction (STEMI) was 37.3% the rate of CVD. Significant differences were observed in the hematological and coagulation parameters of CVD patients compared to the control group. White blood cells (WBC) were significantly higher in STEMI, non-ST-elevation myocardial infarction (NSTEMI), unstable angina (UA), and heart failure (HF) groups. Red blood cells (RBC) were significantly lower in STEMI, NSTEMI, UA, chronic coronary syndrome (CCS), HF, dilated cardiomyopathy (DCM), and ischemic cardiomyopathy (ICM). Red distribution width (RDW) was significantly greater in the HF, DCM, and ICM groups. Prothrombin time (PT) was significantly higher in the STEMI, HF, and DCM groups. CONCLUSION ST-elevation myocardial infarction has a higher prevalence rate among CVD patients in the Asir region. Both coagulation and hematological indicators have high potential utility as CVD diagnostic and prognostic markers.
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Affiliation(s)
- Kholoud N. Almetairi
- From the Department of Clinical Laboratory Sciences (Kholoud, Sultan, Mohammed, Ahmed), Faculty of Applied Medical Sciences, King Khalid University, Abha; from Department of Laboratory (Kholoud), Prince Faisal bin Khalid Cardiac Center, Abha, Kingdom of Saudi Arabia.
| | - Sultan Z. Alasmari
- From the Department of Clinical Laboratory Sciences (Kholoud, Sultan, Mohammed, Ahmed), Faculty of Applied Medical Sciences, King Khalid University, Abha; from Department of Laboratory (Kholoud), Prince Faisal bin Khalid Cardiac Center, Abha, Kingdom of Saudi Arabia.
| | - Mohammed H. Makkawi
- From the Department of Clinical Laboratory Sciences (Kholoud, Sultan, Mohammed, Ahmed), Faculty of Applied Medical Sciences, King Khalid University, Abha; from Department of Laboratory (Kholoud), Prince Faisal bin Khalid Cardiac Center, Abha, Kingdom of Saudi Arabia.
| | - Ahmad A. Shaikh
- From the Department of Clinical Laboratory Sciences (Kholoud, Sultan, Mohammed, Ahmed), Faculty of Applied Medical Sciences, King Khalid University, Abha; from Department of Laboratory (Kholoud), Prince Faisal bin Khalid Cardiac Center, Abha, Kingdom of Saudi Arabia.
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12
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Peng S, Li W, Ke W. Association between red blood cell distribution width and all-cause mortality in unselected critically ill patients: Analysis of the MIMIC-III database. Front Med (Lausanne) 2023; 10:1152058. [PMID: 37064043 PMCID: PMC10098131 DOI: 10.3389/fmed.2023.1152058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/08/2023] [Indexed: 03/31/2023] Open
Abstract
BackgroundAlthough red cell distribution width (RDW) is widely observed in clinical practice, only a few studies have looked at all-cause mortality in unselected critically ill patients, and there are even fewer studies on long-term mortality. The goal of our study was to explore the prediction and inference of mortality in unselected critically ill patients by assessing RDW levels.MethodsWe obtained demographic information, laboratory results, prevalence data, and vital signs from the unselected critically ill patients using the publicly available MIMIC-III database. We then used this information to analyze the association between baseline RDW levels and unselected critically ill patients using Cox proportional risk analysis, smoothed curve fitting, subgroup analysis, and Kaplan–Meier survival curves for short, intermediate, and long-term all-cause mortality in unselected critically ill patients.ResultsA total of 26,818 patients were included in our study for the final data analysis after screening in accordance with acceptable conditions. Our study investigated the relationship between RDW levels and all-cause mortality in a non-selected population by a smoothed curve fit plots and COX proportional risk regression models integrating cubic spline functions reported results about a non-linear relationship. In the fully adjusted model, we found that RDW values were positively associated with 30-day, 90-day, 365-day, and 4-year all-cause mortality in 26,818 non-selected adult patients with HRs of 1.10 95%CIs (1.08, 1.12); 1.11 95%CIs (1.10, 1.13); 1.13 95%CIs (1.12, 1.14); 1.13 95%CIs (1.12, 1.14).ConclusionIn unselected critically ill patients, RDW levels were positively associated with all-cause mortality, with elevated RDW levels increasing all-cause mortality.
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Affiliation(s)
- Shixuan Peng
- Department of Oncology, Graduate Collaborative Training Base of The First People’s Hospital of Xiangtan City, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Wenxuan Li
- Department of Anesthesiology, The First People’s Hospital of Yueyang, Yueyang, Hunan, China
| | - Weiqi Ke
- Department of Anesthesiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China
- *Correspondence: Weiqi Ke,
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Alakare J, Kemp K, Strandberg T, Castrén M, Tolonen J, Harjola VP. Red cell distribution width and mortality in older patients with frailty in the emergency department. BMC Emerg Med 2023; 23:24. [PMID: 36894893 PMCID: PMC9998144 DOI: 10.1186/s12873-023-00801-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 03/01/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND The red cell distribution width (RDW) reflects the degree of heterogeneity of red blood cells. Elevated RDW is associated both with frailty and with increased mortality in hospital-admitted patients. In this study we evaluate whether high RDW values are associated with mortality in older emergency department (ED) patients with frailty, and if the association is independent of the degree of frailty. METHODS We included ED patients with the following criteria: ≥ 75 years of age, Clinical Frailty Scale (CFS) score of 4 to 8, and RDW % measured within 48 h of ED admission. Patients were allocated to six classes by their RDW value: ≤ 13%, 14%, 15%, 16%, 17%, and ≥ 18%. The outcome was death within 30 days of ED admission. Crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for a one-class increase in RDW for 30-day mortality were calculated via binary logistic regression analysis. Age, gender and CFS score were considered as potential confounders. RESULTS A total of 1407 patients (61.2% female), were included. The median age was 85 with an inter-quartile range (IQR) of 80-89, median CFS score 6 (IQR: 5-7), and median RDW 14 (IQR: 13-16). Of the included patients, 71.9% were admitted to hospital wards. A total of 85 patients (6.0%) died during the 30-day follow-up. Mortality rate was associated with RDW increase (p for trend < .001). Crude OR for a one-class increase in RDW for 30-day mortality was 1.32 (95% CI: 1.17-1.50, p < .001). When adjusted for age, gender and CFS-score, OR of mortality for one-class RDW increase was still 1.32 (95% CI: 1.16-1.50, p < .001). CONCLUSION Higher RDW values had a significant association with increased 30-day mortality risk in frail older adults in the ED, and this risk was independent of degree of frailty. RDW is a readily available biomarker for most ED patients. It might be beneficial to include it in risk stratification of older frail ED patients to identify those who could benefit from further diagnostic assessment, targeted interventions, and care planning.
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Affiliation(s)
- Janne Alakare
- Department of Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland. .,Department of Geriatric Acute Care, Espoo Hospital, 2550 02070, City of Espoo, PL, Finland.
| | - Kirsi Kemp
- Department of Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Timo Strandberg
- University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland.,University of Oulu, Center for Life Course Health Research, Oulu, Finland
| | - Maaret Castrén
- Department of Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Jukka Tolonen
- Department of Internal Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Veli-Pekka Harjola
- Department of Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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Yanni GN, Saragih RAC, Lubis S. Red Cell Distribution Width on First Day Intensive Care Unit Admission in Paediatrics. Prague Med Rep 2023; 124:52-57. [PMID: 36763831 DOI: 10.14712/23362936.2023.5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
Red distribution width (RDW) has recently been acclaimed as prognostic marker for mortality in critically-ill patients. However, this claim is still unclear and reports are still inadequate for the association between RDW and mortality in critically-ill paediatric patients. This research assessed the correlation between RDW within 24 hours of PICU (paediatric intensive care unit) admission and PELOD-2 score. A cross-sectional study was carried out involving 59 pediatric patients admitted to the PICU Haji Adam Malik Hospital, Medan, Indonesia, from May to July 2019. The association between RDW and PELOD-2 score was assessed by using Spearman correlation test. The RDW level of paediatric patients in the PICU on the first 24 hours was elevated (median 14.7%, range 11.4-31.2%). The median of PELOD-2 score assessment was 8 (range 2-21). There was no significant correlation between RDW and PELOD-2 in this research (r=0.187, p=0.156).
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Affiliation(s)
- Gema Nazri Yanni
- Department of Child Health, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
| | - Rina Amalia C Saragih
- Department of Child Health, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia
| | - Syamsidah Lubis
- Department of Child Health, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia
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Quantitative Metabolomics to Explore the Role of Plasma Polyamines in Colorectal Cancer. Int J Mol Sci 2022; 24:ijms24010101. [PMID: 36613539 PMCID: PMC9820724 DOI: 10.3390/ijms24010101] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC) is one of the major public health and socio-economic problems, which management demands the development of non-invasive screening tests. Assessment of circulating polyamines could be a valuable tool, although analytical problems still preclude its clinical practice. We exploited ultra-high-resolution liquid chromatography and mass spectrometry, as a highly sensitive and innovative method, to profile eleven polyamines, including spermine and spermidine with their acetylated forms. These data together with an evaluation of the inflammatory indexes might represent suitable biomarkers for the identification of CRC patients. The statistical models revealed good discrimination in distinguishing CRC patients from healthy subjects. The plasma assessment of ornithine and acetylspermine, as well as lymphocyte/platelet ratio, revealed helpful information on the progression of CRC. The combined profiles of circulating polyamines and inflammatory indexes, together with the application of an innovative technology, could represent a valuable tool for discriminating patients from different clinical groups.
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Murad N, Melamud E. Global patterns of prognostic biomarkers across disease space. Sci Rep 2022; 12:21893. [PMID: 36535980 PMCID: PMC9763245 DOI: 10.1038/s41598-022-25209-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
There is a multitude of pathological conditions that affect human health, yet we currently lack a predictive model for most diseases, and underlying mechanisms that are shared by multiple diseases are poorly understood. We leveraged baseline clinical biomarker data and long-term disease outcomes in UK Biobank to build prognostic multivariate survival models for over 200 most common diseases. We construct a similarity map between biomarker-disease hazard ratios and demonstrate broad patterns of shared similarity in biomarker profiles across the entire disease space. Further aggregation of risk profiles through density based clustering showed that biomarker-risk profiles can be partitioned into few distinct clusters with characteristic patterns representative of broad disease categories. To confirm these risk patterns we built disease co-occurrence networks in the UK Biobank and US HCUP hospitalization databases, and compared similarity in biomarker risk profiles to disease co-occurrence. We show that proximity in the biomarker-disease space is strongly related to the occurrence of disease comorbidity, suggesting biomarker profile patterns can be used for both predicting future outcomes as well as a sensitive mechanism for detecting under-diagnosed disease states.
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Affiliation(s)
- Neha Murad
- Calico Life Sciences LLC, South San Francisco, CA, USA
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Prediction of Postoperative Pathologic Risk Factors in Cervical Cancer Patients Treated with Radical Hysterectomy by Machine Learning. Curr Oncol 2022; 29:9613-9629. [PMID: 36547169 PMCID: PMC9776916 DOI: 10.3390/curroncol29120755] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/27/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022] Open
Abstract
Pretherapeutic serological parameters play a predictive role in pathologic risk factors (PRF), which correlate with treatment and prognosis in cervical cancer (CC). However, the method of pre-operative prediction to PRF is limited and the clinical availability of machine learning methods remains unknown in CC. Overall, 1260 early-stage CC patients treated with radical hysterectomy (RH) were randomly split into training and test cohorts. Six machine learning classifiers, including Gradient Boosting Machine, Support Vector Machine with Gaussian kernel, Random Forest, Conditional Random Forest, Naive Bayes, and Elastic Net, were used to derive diagnostic information from nine clinical factors and 75 parameters readily available from pretreatment peripheral blood tests. The best results were obtained by RF in deep stromal infiltration prediction with an accuracy of 70.8% and AUC of 0.767. The highest accuracy and AUC for predicting lymphatic metastasis with Cforest were 64.3% and 0.620, respectively. The highest accuracy of prediction for lymphavascular space invasion with EN was 59.7% and the AUC was 0.628. Blood markers, including D-dimer and uric acid, were associated with PRF. Machine learning methods can provide critical diagnostic prediction on PRF in CC before surgical intervention. The use of predictive algorithms may facilitate individualized treatment options through diagnostic stratification.
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Laboratory prognostic factors for the long-term survival of multiple system atrophy. NPJ Parkinsons Dis 2022; 8:141. [PMID: 36302764 PMCID: PMC9613998 DOI: 10.1038/s41531-022-00413-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 10/12/2022] [Indexed: 11/24/2022] Open
Abstract
To elucidate the biomarkers related to survival in multiple system atrophy(MSA), we analyzed the predictability of retrospectively collected blood markers for survival in 650 probable MSA. High absolute neutrophil count, red-cell distribution width, C-reactive protein, erythrocyte sedimentation rate, and low hemoglobin, protein, albumin, and creatinine were correlated with higher mortality in MSA. Systemic alteration in inflammation and nutritional status in the early stage are associated with higher mortality in MSA.
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Marcus K, Sullivan CB, Al-Qurayshi Z, Buchakjian MR. Can Red Blood Cell Distribution Width Predict Laryngectomy Complications or Survival Outcomes? Ann Otol Rhinol Laryngol 2022; 131:1102-1108. [PMID: 34715735 DOI: 10.1177/00034894211056117] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Red blood cell distribution width (RDW), a reported biomarker for morbidity and mortality in chronic disease and following certain surgeries, has not been well-studied in head and neck cancer patients. The aim of the study was to examine the association of RDW with postoperative complications and survival among patients who underwent primary or salvage laryngectomy. METHODS We analyzed a retrospective case series study of patients diagnosed with squamous cell carcinoma of the larynx treated with total laryngectomy. Survival outcomes were examined using Kaplan-Meier analysis. RESULTS One hundred seventy-seven patients were included in the final analysis. The most common tumor subsite was the supraglottis (60%). On bivariate analysis, patients with RDW ≥14.5 had higher prevalence of non-surgical, systemic complications, including deep venous thrombosis, pneumonia, cardiovascular events, and difficulty weaning from mechanical ventilation. However, there was no significant difference in laryngectomy-specific post-operative complications, including pharyngocutaneous fistula, wound infection, stoma complications, and chyle leak. RDW was not found to be associated with survival outcomes following laryngectomy. CONCLUSIONS Among laryngectomy patients, RDW ≥14.5 is associated with higher prevalence of systemic morbidity, but not with specific local surgical complications or decreased survival.
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Affiliation(s)
- Kathryn Marcus
- Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | | | - Zaid Al-Qurayshi
- Department of Otolaryngology-Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Marisa R Buchakjian
- Department of Otolaryngology-Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
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Kim S, Song SH, Lee CW, Kwon JT, Park EY, Oh JK, Kim HJ, Park E, Kim B. Low-Level Environmental Mercury Exposure and Thyroid Cancer Risk Among Residents Living Near National Industrial Complexes in South Korea: A Population-Based Cohort Study. Thyroid 2022; 32:1118-1128. [PMID: 35950626 DOI: 10.1089/thy.2022.0084] [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] [Indexed: 12/24/2022]
Abstract
Background: Previous studies suggested that mercury may be linked to thyroid cancer due to its bioaccumulation in the thyroid gland, but no studies have evaluated the association between mercury exposure and thyroid cancer risk. We examined the relationship between mercury exposure and thyroid cancer risk, with the potential modification of hematological parameters. Methods: We performed a secondary analysis of a prospective cohort study among residents living near industrial complexes in South Korea (recruited from 2003 to 2011). Incident thyroid cancer cases (C73, ICD-10 code) were identified from the National Cancer Registry and Statistics Korea. Urinary mercury concentrations were measured using thermal decomposition amalgamation atomic absorption spectrometry (TDA-AAS). Cox proportional hazards regression models (adjusted for age, sex, educational level, smoking status, and employment) were used to estimate the hazard ratio (HR) and confidence interval [CI] between mercury exposure and the incidence of thyroid cancer. Results: We documented 69 cases of thyroid cancer in a total of 5213 participants during follow-up (median 8.7 years). The geometric mean of urinary mercury concentration was 1.8 μg/L for thyroid cancer cases and 1.2 μg/L for noncases (p for difference = 0.001). After adjusting for potential confounders, those in the highest tertile of urinary mercury levels had a twofold higher risk of thyroid cancer (HR = 1.97 [CI 1.03 - 3.80] in the highest tertile vs. the lowest tertile, p for trend = 0.043). This association was stronger for those with lower mean corpuscular volume and mean corpuscular hemoglobin status. Conclusions: Urinary mercury concentration was positively associated with the risk of thyroid cancer among residents living near national industrial complexes, and this association was influenced by red blood cell indices status. These results provide some evidence suggesting the adverse effects of environmental metal pollution in the development of thyroid cancer.
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Affiliation(s)
- Seyoung Kim
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea
| | - Sang-Hwan Song
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Chul-Woo Lee
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Jung-Taek Kwon
- Environmental Health Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Eun Young Park
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea
| | - Jin-Kyoung Oh
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Hyun-Jin Kim
- Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea
| | - Eunjung Park
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Byungmi Kim
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea
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Li D, Li S, Xia Z, Cao J, Zhang J, Chen B, Zhang X, Zhu W, Fang J, Liu Q, Hua W. Prognostic significance of pretreatment red blood cell distribution width in primary diffuse large B-cell lymphoma of the central nervous system for 3P medical approaches in multiple cohorts. EPMA J 2022; 13:499-517. [PMID: 36061828 PMCID: PMC9437163 DOI: 10.1007/s13167-022-00290-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/04/2022] [Indexed: 12/08/2022]
Abstract
Background/aims Predicting the clinical outcomes of primary diffuse large B-cell lymphoma of the central nervous system (PCNS-DLBCL) to methotrexate-based combination immunochemotherapy treatment in advance and therefore administering the tailored treatment to the individual is consistent with the principle of predictive, preventive, and personalized medicine (PPPM/3PM). The red blood cell distribution width (RDW) has been reported to be associated with the clinical outcomes of multiple cancer. However, its prognostic role in PCNS-DLBCL is yet to be evaluated. Therefore, we aimed to effectively stratify PCNS-DLBCL patients with different prognosis in advance and early identify the patients who were appropriate to methotrexate-based combination immunochemotherapy based on the pretreatment level of RDW and a clinical prognostic model. Methods A prospective-retrospective, multi-cohort study was conducted from 2010 to 2020. We evaluated RDW in 179 patients (retrospective discovery cohorts of Huashan Center and Renji Center and prospective validation cohort of Cancer Center) with PCNS-DLBCL treated with methotrexate-based combination immunochemotherapy. A generalized additive model with locally estimated scatterplot smoothing was used to identify the relationship between pretreatment RDW levels and clinical outcomes. The high vs low risk of RDW combined with MSKCC score was determined by a minimal P-value approach. The clinical outcomes in different groups were then investigated. Results The pretreatment RDW showed a U-shaped relationship with the risk of overall survival (OS, P = 0.047). The low RDW (< 12.6) and high RDW (> 13.4) groups showed significantly worse OS (P < 0.05) and progression-free survival (PFS; P < 0.05) than the median group (13.4 > RDW > 12.6) in the discovery and validation cohort, respectively. RDW could predict the clinical outcomes successfully. In the discovery cohort, RDW achieved the area under the receiver operating characteristic curve (AUC) of 0.9206 in predicting the clinical outcomes, and the predictive value (AUC = 0.7177) of RDW was verified in the validation cohort. In addition, RDW combined with MSKCC predictive model can distinguish clinical outcomes with the AUC of 0.8348 for OS and 0.8125 for PFS. Compared with the RDW and MSKCC prognosis variables, the RDW combined with MSKCC scores better identified a subgroup of patients with favorable long-term survival in the validation cohort (P < 0.001). RDW combined MSKCC score remained to be independently associated with clinical outcomes by multivariable analysis. Conclusions Based on the pretreatment RDW and MSKCC scores, a novel predictive tool was established to stratify PCNS-DLBCL patients with different prognosis effectively. The predictive model developed accordingly is promising to judge the response of PCNS-DLBCL to methotrexate-based combination immunochemotherapy treatment. Thus, hematologists and oncologists could tailor and adjust therapeutic modalities by monitoring RDW in a prospective rather than the reactive manner, which could save medical expenditures and is a key concept in 3PM. In brief, RDW combined with MSKCC model could serve as an important tool for predicting the response to different treatment and the clinical outcomes for PCNS-DLBCL, which could conform with the principles of predictive, preventive, and personalized medicine. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-022-00290-5.
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Affiliation(s)
- Danhui Li
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai JiaoTong University, No. 160 PuJian Road, Shanghai, 200127 China
| | - Shengjie Li
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
- Department of Clinical Laboratory, EENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032 China
| | - Zuguang Xia
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032 China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032 China
| | - Jiazhen Cao
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032 China
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, 200032 China
| | - Jinsen Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
| | - Bobin Chen
- Department of Hematology, Huashan Hospital, Fudan University, Shanghai, 200040 China
| | - Xin Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
| | - Wei Zhu
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
| | - Jianchen Fang
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai JiaoTong University, No. 160 PuJian Road, Shanghai, 200127 China
| | - Qiang Liu
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai JiaoTong University, No. 160 PuJian Road, Shanghai, 200127 China
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Road, Shanghai, 200040 China
- Institute of Neurosurgery, Fudan University, Shanghai, 200040 China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040 China
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Chen Y, Luo M, Cheng Y, Huang Y, He Q. A nomogram to predict prolonged stay of obesity patients with sepsis in ICU: Relevancy for predictive, personalized, preventive, and participatory healthcare strategies. Front Public Health 2022; 10:944790. [PMID: 36033731 PMCID: PMC9403617 DOI: 10.3389/fpubh.2022.944790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 07/18/2022] [Indexed: 01/21/2023] Open
Abstract
Objective In an era of increasingly expensive intensive care costs, it is essential to evaluate early whether the length of stay (LOS) in the intensive care unit (ICU) of obesity patients with sepsis will be prolonged. On the one hand, it can reduce costs; on the other hand, it can reduce nosocomial infection. Therefore, this study aimed to verify whether ICU prolonged LOS was significantly associated with poor prognosis poor in obesity patients with sepsis and develop a simple prediction model to personalize the risk of ICU prolonged LOS for obesity patients with sepsis. Method In total, 14,483 patients from the eICU Collaborative Research Database were randomized to the training set (3,606 patients) and validation set (1,600 patients). The potential predictors of ICU prolonged LOS among various factors were identified using logistic regression analysis. For internal and external validation, a nomogram was developed and performed. Results ICU prolonged LOS was defined as the third quartile of ICU LOS or more for all sepsis patients and demonstrated to be significantly associated with the mortality in ICU by logistic regression analysis. When entering the ICU, seven independent risk factors were identified: maximum white blood cell, minimum white blood cell, use of ventilation, Glasgow Coma Scale, minimum albumin, maximum respiratory rate, and minimum red blood cell distribution width. In the internal validation set, the area under the curve was 0.73, while in the external validation set, it was 0.78. The calibration curves showed that this model predicted probability due to actually observed probability. Furthermore, the decision curve analysis and clinical impact curve showed that the nomogram had a high clinical net benefit. Conclusion In obesity patients with sepsis, we created a novel nomogram to predict the risk of ICU prolonged LOS. This prediction model is accurate and reliable, and it can assist patients and clinicians in determining prognosis and making clinical decisions.
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Association of RDW, NLR, and PLR with Atrial Fibrillation in Critical Care Patients: A Retrospective Study Based on Propensity Score Matching. DISEASE MARKERS 2022; 2022:2694499. [PMID: 35669502 PMCID: PMC9166973 DOI: 10.1155/2022/2694499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 04/09/2022] [Accepted: 05/12/2022] [Indexed: 11/18/2022]
Abstract
Objective Previous studies have shown inconsistent results in relation to the red cell distribution width (RDW), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) of atrial fibrillation (AF). This retrospective study is aimed at detecting the association of RDW, NLR, and PLR with AF. Methods A total of 4717 critical care patients were screened from the Medical Information Mart for Intensive Care- (MIMIC-) III database. The patients were separated into the non-AF and AF groups. The imbalances between the groups were reduced using propensity score matching (PSM). ROC curves were generated to detect the diagnostic value of RDW, NLR, and PLR. Logistic regression analysis was used to detect the risk factors for AF. Results A total of 991 non-AF patients paired with 991 AF patients were included after PSM in this study. The RDW level in the AF group was significantly higher than that in the non-AF group (15.09 ± 1.93vs. 14.89 ± 1.91, P = 0.017). Neither NLR nor PLR showed any significant difference between the two groups (P > 0.05 for each). According to ROC curve, RDW showed a very low diagnostic value of AF (AUC = 0.5341), and the best cutoff of RDW was 14.1 (ACU = 0.5257, sensitivity = 0.658, specificity = 0.395). Logistic regression analysis showed that an elevated RDW level increased 1.308-fold (95%CI = 1.077-1.588, P = 0.007) risk of AF. Neither elevated NLR nor elevated PLR was a significant risk factor for AF (OR = 0.993, 95%CI = 0.802-1.228, P = 0.945 for NLR; OR = 0.945, 95%CI = 0.763-1.170, P = 0.603 for PLR). Conclusions Elevated RDW level but not NLR or PLR levels is associated with AF. RDW > 14.1 is a risk factor for AF, but its diagnostic capacity for AF is not of great value.
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Orabi H, Howard L, Amling CL, Aronson WJ, Cooperberg MR, Kane CJ, Terris MK, Klaassen Z, Janes JL, Freedland SJ, Polascik TJ. Red Blood Cell Distribution Width Is Associated with All-cause Mortality but Not Adverse Cancer-specific Outcomes in Men with Clinically Localized Prostate Cancer Treated with Radical Prostatectomy: Findings Based on a Multicenter Shared Equal Access Regional Cancer Hospital Registry. EUR UROL SUPPL 2022; 37:106-112. [PMID: 35243395 PMCID: PMC8883186 DOI: 10.1016/j.euros.2022.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2022] [Indexed: 02/05/2023] Open
Abstract
Background Recent reports with a small number of patients showed an association of red blood cell distribution width (RDW) with prostate cancer (PCa) progression. Objective To investigate whether preoperative RDW can serve as a prognostic marker in patients with PCa undergoing radical prostatectomy (RP) in a large, equal access, and diverse patient cohort. Design, setting, and participants Data were retrospectively collected on 4756 men treated with RP at eight Veteran Affairs medical centers within the Shared Equal Access Regional Cancer Hospital (SEARCH) database from 1999 through 2017. Outcome measurements and statistical analysis Biochemical recurrence (BCR) was the primary outcome, while metastasis, all-cause mortality (ACM), and prostate cancer–specific mortality (PCSM) were secondary outcomes. Results and limitations The mean (standard deviation) age was 62 yr (6.1), and 1589 (33%) men were black. The median (interquartile range) follow-up was 82 mo (46–127). Preoperative RDW either as a continuous variable or when stratified by quartiles was not associated with BCR. Likewise, preoperative RDW was not associated with metastases or PCSM. However, higher RDW was significantly associated with higher ACM, both as a continuous variable (p < 0.001) and when stratified by quartiles in univariable and multivariable models (p < 0.001). RDW was found to be correlated with D’Amico risk classification of PCa. Study limitations include its retrospective nature and lack of data regarding advanced PCa. Conclusions Preoperative RDW was not associated with PCa outcomes in men treated with RP but was associated with ACM. While RDW may be a biomarker of overall health, it is not a biomarker for PCa outcomes. These results emphasize the importance of diverse, larger sized studies in genitourinary cancer research. Patient summary Prostate cancer includes a wide spectrum of diseases with different genetic, pathological, and oncological behaviors. Red blood cell distribution width is helpful in predicting the overall survival for a localized prostate cancer patient, and hence, it can help inform personalized treatment decisions and operative care.
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Affiliation(s)
- Hazem Orabi
- Division of Urology, Department of Surgery, Duke University, Durham, NC, USA
- Urology Department, Assiut University, Assiut, Egypt
| | - Lauren Howard
- Urology Section, Department of Surgery, Veterans Affairs Medical Center, Durham, NC, USA
- Duke Cancer Institute, Durham, NC, USA
| | - Christopher L. Amling
- Department of Urology, Oregon Health & Science University, Veterans Affairs Medical Center, Portland, OR, USA
| | - William J. Aronson
- Department of Urology, University of California at Los Angeles Medical Center, Veterans Affairs Medical Center, Los Angeles, CA, USA
| | - Matthew R. Cooperberg
- Departments of Urology and Epidemiology & Biostatistics, University of California, Veterans Affairs Medical Centers, San Francisco, CA, USA
| | - Christopher J. Kane
- Department of Urology, University of California at San Diego Medical Center, Veterans Affairs Medical Center, San Diego, CA, USA
| | - Martha K. Terris
- Urology Section, Department of Surgery, Veterans Affairs Medical Centers, Augusta, GA, USA
- Division of Urologic Surgery, Department of Surgery, Medical College of Georgia, Augusta, GA, USA
| | - Zachary Klaassen
- Department of Surgery, Section of Urology, Augusta University - Medical College of Georgia, Augusta, GA, USA
| | - Jessica L. Janes
- Urology Section, Department of Surgery, Veterans Affairs Medical Center, Durham, NC, USA
| | - Stephen J. Freedland
- Urology Section, Department of Surgery, Veterans Affairs Medical Center, Durham, NC, USA
- Division of Urology and Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Thomas J. Polascik
- Division of Urology, Department of Surgery, Duke University, Durham, NC, USA
- Urology Section, Department of Surgery, Veterans Affairs Medical Center, Durham, NC, USA
- Duke Cancer Institute, Durham, NC, USA
- Corresponding author. Duke University Hospital, Duke Cancer Institute, Room 1080 Yellow Zone, Duke South, Durham, NC 27710, USA. Tel. +1 919 681 5946; Fax: +1 919 684 5220, +1 919 668 7093.
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Osawa Y, Tanaka T, Semba RD, Fantoni G, Moaddel R, Candia J, Simonsick EM, Bandinelli S, Ferrucci L. Proteins in the pathway from high red blood cell width distribution to all-cause mortality. EBioMedicine 2022; 76:103816. [PMID: 35065420 PMCID: PMC8784626 DOI: 10.1016/j.ebiom.2022.103816] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/21/2021] [Accepted: 01/06/2022] [Indexed: 01/01/2023] Open
Abstract
Background The pathophysiological mechanisms underlying the association between red blood cell distribution width (RDW) and all-cause mortality are unknown. We conducted a data-driven discovery investigation to identify plasma proteins that mediate the association between RDW and time to death in community-dwelling adults. Methods At baseline, 962 adults (women, 54·4%; age range, 21–98 years) participated in the InCHIANTI, “Aging in the Chianti Area” study, and proteomics data were generated from their plasma specimens. Of these, 623 participants had proteomics data available at the 9-year follow-up. For each visit, a total of 1301 plasma proteins were measured using SOMAscan technology. Complete data on vital status were available up to the 15-year follow-up period. Protein-specific exponential distribution accelerated failure time, and linear regression analyses adjusted for possible covariates were used for mortality and mediation analyses, respectively (survival data analysis). Findings Baseline values of EGFR, GHR, NTRK3, SOD2, KLRF1, THBS2, TIMP1, IGFBP2, C9, APOB, and LRP1B mediated the association between baseline RDW and all-cause mortality. Changes in IGFBP2 and C7 over 9 years mediated the association between changes in RDW and 6-year all-cause mortality. Interpretation Cellular senescence may contribute to the association between RDW and mortality. Funding This study was funded by grants from the National Institutes of Health (NIH) and the National Institute on Aging (NIA) contract and was supported by the Intramural Research Program of the NIA, NIH. The InCHIANTI study was supported as a ‘targeted project’ by the Italian Ministry of Health and in part by the U.S. NIA.
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Affiliation(s)
- Yusuke Osawa
- National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital 5th floor, 3001 S. Hanover Street, Baltimore, MD 21225 USA; Graduate School of Health Management, Keio University, Kanagawa, Japan; Sports Medicine Research Center, Keio University, Kanagawa, Japan.
| | - Toshiko Tanaka
- National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital 5th floor, 3001 S. Hanover Street, Baltimore, MD 21225 USA
| | - Richard D Semba
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Giovanna Fantoni
- National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital 5th floor, 3001 S. Hanover Street, Baltimore, MD 21225 USA
| | - Ruin Moaddel
- National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital 5th floor, 3001 S. Hanover Street, Baltimore, MD 21225 USA
| | - Julián Candia
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Eleanor M Simonsick
- National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital 5th floor, 3001 S. Hanover Street, Baltimore, MD 21225 USA
| | | | - Luigi Ferrucci
- National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital 5th floor, 3001 S. Hanover Street, Baltimore, MD 21225 USA.
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ATABEY M, AYKOTA MR, YILMAZ S. May complete blood count parameters be predictive in estimation of gallbladder wall thickness? Chirurgia (Bucur) 2022. [DOI: 10.23736/s0394-9508.20.05200-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Wei-Hsiang H, Zhu Y, Zhang J, Zhang Y. Pretreatment red blood cell distribution width as an efficient predictor of survival in older patients undergoing hip fracture surgery. Int J Clin Pract 2021; 75:e14791. [PMID: 34482576 DOI: 10.1111/ijcp.14791] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 11/30/2022] Open
Abstract
PURPOSE We aimed to determine whether pretreatment red blood cell distribution width (RDW) is an efficient predictor of 30-day mortality in older patients undergoing hip fracture surgery. METHODS In this prospective cohort study, 203 patients with hip fractures were eligible and followed up for at least 30 days. All the patients underwent medical examinations. RDW was measured using an automated hematology analyzer. To evaluate the prognostic significance of RDW, Cox proportional hazard model and Kaplan-Meier analyses were performed. RESULTS Of the 203 patients (114 men, 89 women), 28 (13.79%) died within 30 days. The mean RDW was significantly higher in the deceased group than in the survival group (14.54% ± 1.09% vs 13.26% ± 0.57%; P < .001). Multivariate Cox regression analysis showed that elevated RDW (hazard ratio = 2.73, 95% confidence interval = 2.06-3.62, P < .001) was the key predictor of 30-day mortality in older patients undergoing hip fracture surgery. Survival analysis showed that patients with a high RDW had a significantly higher 30-day mortality rate (log-rank test, P < .05). Similar results were observed in the male and female subgroups. CONCLUSION RDW might be an effective predictor of 30-day mortality in older patients undergoing hip fracture surgery.
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Affiliation(s)
- Hung Wei-Hsiang
- Department of Orthopedic Surgery, Zhongshan Hospital Xiamen Branch, Fudan University, Fujian, China
| | - Yuqing Zhu
- Shanghai Center for Clinical Laboratory, Shanghai, China
| | - Jingyuan Zhang
- Department of Respiratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yinwang Zhang
- Department of Orthopedics, Shanghai Xuhui Central Hospital, Shanghai, China
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Talarico M, Manicardi M, Vitolo M, Malavasi VL, Valenti AC, Sgreccia D, Rossi R, Boriani G. Red Cell Distribution Width and Patient Outcome in Cardiovascular Disease: A ''Real-World'' Analysis. J Cardiovasc Dev Dis 2021; 8:jcdd8100120. [PMID: 34677189 PMCID: PMC8539630 DOI: 10.3390/jcdd8100120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 12/16/2022] Open
Abstract
Red cell distribution width (RDW) has been shown to predict adverse outcomes in specific scenarios. We aimed to assess the association between RDW and all-cause death and a clinically relevant composite endpoint in a population with various clinical manifestations of cardiovascular diseases. We retrospectively analyzed 700 patients (median age 72.7 years [interquartile range, IQR, 62.6–80]) admitted to the Cardiology ward between January and November 2016. Patients were divided into tertiles according to baseline RDW values. After a median follow-up of 3.78 years (IQR 3.38–4.03), 153 (21.9%) patients died and 247 (35.3%) developed a composite endpoint (all-cause death, acute coronary syndromes, transient ischemic attack/stroke, and/or thromboembolic events). With multivariate Cox regression analysis, the highest RDW tertile was independently associated with an increased risk of all-cause death (adjusted hazard ratio [HR] 2.73, 95% confidence interval [CI] 1.63–4.56) and of the composite endpoint (adjusted HR 2.23, 95% CI 1.53–3.24). RDW showed a good predictive ability for all-cause death (C-statistics: 0.741, 95% CI 0.694–0.788). In a real-world cohort of patients, we found that higher RDW values were independently associated with an increased risk of all-cause death and clinical adverse cardiovascular events thus proposing RDW as a prognostic marker in cardiovascular patients.
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Affiliation(s)
- Marisa Talarico
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
| | - Marcella Manicardi
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
| | - Marco Vitolo
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Via Del Pozzo n.71, 41124 Modena, Italy
| | - Vincenzo Livio Malavasi
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
| | - Anna Chiara Valenti
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
| | - Daria Sgreccia
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
| | - Rosario Rossi
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
| | - Giuseppe Boriani
- Department of Biomedical, Cardiology Division, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via Del Pozzo n.71, 41124 Modena, Italy; (M.T.); (M.M.); (M.V.); (V.L.M.); (A.C.V.); (D.S.); (R.R.)
- Correspondence: ; Tel.: +39-059-422-5836
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Castellà A, Diaz-Duran C, Velescu A, Galarza A, Miralles M, Clará A. Usefulness of red cell distribution width to predict mortality in patients undergoing endovascular repair of abdominal aortic aneurysms. INT ANGIOL 2021; 40:497-503. [PMID: 34515451 DOI: 10.23736/s0392-9590.21.04725-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Red cell distribution width (RDW) reflecting impaired erythropoyesis, has been associated with poor prognosis and mortality in several conditions. The aim of this study was to determine the relationship between RDW and the 5-year survival after the endovascular repair of abdominal aortic aneurysms (EVAR) and its ability to improve the discriminative power of a survival predictive score. METHODS Retrospective analysis of 284 patients undergoing EVAR at a single centre. The pattern of relationship between RDW and survival was assessed with penalized smoothing splines. Categorized RDW values were added to a predictive score based in standard preoperative variables, whose improvement in discriminative power was calculated on the basis of changes in the C-statistics and the continuous Net Reclassification Index (c-NRI). RESULTS The survival rate at 5 years was 66.2% and was independently associated with hemoglobin (HR=0.85,p<0.004), statin intake (HR=0.54,p<0.004), heart failure (HR=2.53,p<0.018), atrial fibrillation (HR=2.53,p<0.000) and the non-revascularized coronary artery disease (HR=2.15, p<0.005). The relationship between RDW values and 5-year survival was linear. RDW-CV and RDW-SD were categorized to cut-off values of ≥15% (n=83,29.2%) and ≥50 fL (n=82, 28.9%) that were independently associated with poorer 5-year survival rates (HR=2.03,CI95%=1.29-3.19,p=0.002 and HR=1.89, CI95%=1.21-2.95,p=0.005, respectively). The addition of the RDW CV or the RDW-SD to the baseline predictive score significantly improved the c-NRI (0.437,p<0.001 and 0.442,p<0.001, respectively). CONCLUSIONS High preoperative RDW levels were linear and adversely related to 5-year survival after EVAR, improved the discriminative power of a predictive score based in standard preoperative variables and may help in decision-making at the time of surgical planning.
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Affiliation(s)
- Albert Castellà
- Vascular Surgery Department, Hospital del Mar, Barcelona, Spain.,Universitat Autònoma de Barcelona, Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Alina Velescu
- Vascular Surgery Department, Hospital del Mar, Barcelona, Spain.,Universitat Autònoma de Barcelona, Universitat Pompeu Fabra, Barcelona, Spain.,CIBER Cardiovascular, Barcelona, Spain
| | - Andrés Galarza
- Vascular Surgery Department, Hospital del Mar, Barcelona, Spain
| | - Manuel Miralles
- Vascular Surgery Department, Hospital la Fe, Valencia, Spain
| | - Albert Clará
- Vascular Surgery Department, Hospital del Mar, Barcelona, Spain.,Universitat Autònoma de Barcelona, Universitat Pompeu Fabra, Barcelona, Spain.,CIBER Cardiovascular, Barcelona, Spain
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Association between Red Blood Cell Distribution Width and Diabetic Retinopathy: A 5-Year Retrospective Case-Control Study. J Ophthalmol 2021; 2021:6653969. [PMID: 34327012 PMCID: PMC8277500 DOI: 10.1155/2021/6653969] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 06/22/2021] [Indexed: 01/07/2023] Open
Abstract
Purpose Red blood cell distribution width (RDW) has been regarded as an emerging biomarker of the general population and cardiovascular disease. In this study, we aimed to evaluate the association between RDW and diabetic retinopathy (DR). Methods This case-control study included 167 patients with DR, 131 patients with diabetes mellitus (DM), and 170 age- and sex-matched healthy controls from April 2014 to May 2019. Demographic data, laboratory parameters, and ocular examinations were collected. Results RDW values of the DR group were significantly higher than those of the healthy control (p < 0.001) and DM group (p=0.002). A similar trend was observed when RDW was compared among the 3 groups with respect to age and gender. Logistic regression analysis has shown the OR of RDW was 3.791 (2.33–6.168; p < 0.001) against the control group and was 1.348 (0.997–1.823; p=0.047) against the DM group. Conclusion RDW values were significantly elevated in DR patients, and an elevated RDW was associated with an increased incidence of DR in patients with DM.
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Pan J, Zaigham S, Persson M, Borné Y, Wollmer P, Engström G. The associations between red cell distribution width and lung function measures in a general population. Respir Med 2021; 185:106467. [PMID: 34044292 DOI: 10.1016/j.rmed.2021.106467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/03/2021] [Accepted: 05/08/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Red cell distribution width (RDW) reflects heterogeneity of the erythrocyte volumes. High RDW is a novel risk marker, which has been associated with mortality and morbidity both from cardiovascular and respiratory diseases, but the association between RDW and measures of lung function in the general population remains unclear. METHODS The associations of RDW with spirometry, diffusing capacity (DLCO) and impulse oscillometry (IOS) were investigated among 5767, 5496 and 5598 subjects (aged 50-64 years), respectively, from the Swedish CArdioPulmonary bioImage Study (SCAPIS). Multiple linear regression and general linear models were performed to examine the relationships of lung function measures and RDW, with adjustment for potential confounding factors. RESULTS Forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC were significantly and inversely associated with RDW after multivariate adjustments. For 1- standard deviation (SD) increase in RDW, FEV1 decreased with 0.034 L (95%CI: -0.046 to -0.022 L), p < 0.001; FVC with 0.031 L (95%CI: -0.045 to -0.017 L), p < 0.001; and FEV1/FVC with 0.003 (95%CI: -0.004 to -0.001), p = 0.002. Significant associations of RDW and DLCO were only found among smokers. For IOS, pulmonary reactance rather than resistance was significantly associated with RDW: X5 decreased 0.002 kPa/(L/s) (95%CI: -0.003 to -0.0002 kPa/(L/s)), p = 0.025, per 1-SD higher RDW. CONCLUSIONS We found significant negative associations between RDW and measures of lung function. However, the effect sizes are small and RDW is not likely to be a sensitive marker of impaired lung function in middle-aged individuals from the general population.
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Affiliation(s)
- Jingxue Pan
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
| | - Suneela Zaigham
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Margaretha Persson
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Yan Borné
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Per Wollmer
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden; Clinical Physiology, Skåne University Hospital, Malmö, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
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Prognostic Value of Red Blood Cell Distribution Width in Resected pN1 Lung Adenocarcinoma. Cancers (Basel) 2020; 12:cancers12123677. [PMID: 33302343 PMCID: PMC7762373 DOI: 10.3390/cancers12123677] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/12/2020] [Accepted: 12/07/2020] [Indexed: 12/25/2022] Open
Abstract
Simple Summary Red blood cell distribution width is a measure of the variation of erythrocyte volume. Impaired erythropoiesis can lead to a wide variation in erythrocyte dimension—defined as anisocytosis—indicating that pathological modifications are taking place. Recently, red blood cell distribution width has been advocated as an effective prognostic factor in cardiovascular diseases, acute kidney injury, autoimmune disease, and oncologic settings. In many advanced and several early-stage oncologic conditions, it has shown excellent prognostic efficacy; we therefore investigated what prognostic role red blood cell distribution width may have in resected lung cancer, focusing on pN1 adenocarcinoma patients in whom adjuvant treatments—although well-established—are still proposed case by case. Our findings suggest that red blood cell distribution width is strictly related to disease-free survival; it could therefore be considered as a further tool for planning postoperative adjuvant treatments and setting up an adequate follow-up program. Abstract Background: Red blood cell distribution width is a measure of the variation of erythrocyte volume and has recently been advocated as a prognostic tool in neoplastic and non-neoplastic diseases. We studied the prognostic role of preoperative red blood cell distribution width (RDW) in resected pN1 lung adenocarcinoma patients. Methods: Sixty-seven consecutive pN1 lung adenocarcinoma patients operated in the last two years were retrospectively evaluated in the present study. Age, sex, smoking status, type of surgical resection, neoadjuvant and adjuvant treatments, pathological stage, T and N status, tumor size, preoperative hemoglobin (Hb) and RDW, preoperative neutrophils, lymphocytes, and their ratio were collected for each patient. Outpatient follow-up was performed and date of relapse was recorded. Results: There were 24 females (35.8%). Twenty-eight patients (41.8%) belonged to stage 3A and thirty-nine patients (58.2%) to stage 2B. Mean preoperative RDW % was 14.1 (IQR: 12.9–14.8). Univariate analysis disclosed preoperative RDW as strictly related to disease-free survival (p = 0.02), which was confirmed in the exploratory multivariable analysis (p = 0.003). Conclusions: Pre-operative RDW is an effective prognostic factor of disease-free survival in resected pN1 lung adenocarcinoma; it could therefore be considered as a further tool for planning postoperative adjuvant treatments and setting up an adequate follow-up program.
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Pinho J, Silva L, Quintas-Neves M, Marques L, Amorim JM, Reich A, Ferreira C. Red Cell Distribution Width is Associated with 30-day Mortality in Patients with Spontaneous Intracerebral Hemorrhage. Neurocrit Care 2020; 34:825-832. [PMID: 32959199 PMCID: PMC8179905 DOI: 10.1007/s12028-020-01103-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 09/02/2020] [Indexed: 11/25/2022]
Abstract
Background Red cell distribution width (RDW) has been associated with mortality and outcome in a wide variety of non-neurological and neurological diseases, namely in myocardial infarction and acute ischemic stroke, and the reason for this is not completely understood. We aimed to investigate RDW as a potential prognostic marker in patients with intracerebral hemorrhage (ICH). Methods This is a retrospective study of consecutive patients with acute non-traumatic ICH admitted to a single center during a 4-year period. We reviewed individual clinical records to collect demographic and baseline information, including RDW at admission, 3-month functional status, and incidence of death during follow-up. Baseline computed tomography imaging was reviewed to classify the location of ICH, and to measure ICH volume and perihematomal edema volume. Patients were divided according to quartile distribution of RDW (RDW-Q1-4). Results The final study population consisted of 358 patients, median age 71 years (interquartile range [IQR] 60–80), 55% were male, and median Glasgow Coma Scale was 14 (IQR 10–15), with a mean follow-up of 17.6 months. Patients with higher RDW values were older (p = 0.003), more frequently presented with an active malignancy (p = 0.005), atrial fibrillation (p < 0.001), intraventricular hemorrhage (p = 0.048), and were anticoagulated (p < 0.001). Three-month functional independence was similar throughout RDW quartiles. RDW-Q4 was independently associated with increased 30-day mortality (adjusted odds ratio = 3.36, 95%CI = 1.48–7.62, p = 0.004), but not independently associated with increased mortality after 30 days (adjusted hazards ratio = 0.71, 95%CI = 0.29–1.73, p = 0.448). Conclusions RDW is a robust and independent predictor of 30-day mortality in non-traumatic ICH patients, and further studies to understand this association are warranted. Electronic supplementary material The online version of this article (10.1007/s12028-020-01103-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- João Pinho
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Lénia Silva
- Centro Hospitalar Universitário de São João, Porto, Portugal
| | | | | | | | - Arno Reich
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Carla Ferreira
- Neurology Department, Hospital de Braga, Braga, Portugal
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