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Kralovcova M, Müller J, Hajsmanova Z, Sigutova P, Bultasova L, Palatova J, Matejovic M. Understanding the value of monocyte distribution width (MDW) in acutely ill medical patients presenting to the emergency department: a prospective single center evaluation. Sci Rep 2024; 14:15255. [PMID: 38956252 PMCID: PMC11219845 DOI: 10.1038/s41598-024-65883-8] [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: 05/03/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024] Open
Abstract
The monocyte distribution width (MDW) has emerged as a promising biomarker for accurate and early identification of patients with potentially life-threatening infections. Here we tested the diagnostic performance of MDW in adult patients requiring hospital admission for community-acquired infections and sepsis, evaluated sources of heterogeneity in the estimates of diagnostic accuracy, and assessed the meaning of MDW in a patient population presenting to the emergency department (ED) for acute non-infectious conditions. 1925 consecutive patients were categorized into three groups: non-infection (n = 1507), infection (n = 316), and sepsis/septic shock (n = 102). Diagnostic performance for infection or sepsis of MDW alone or in combination with components of SOFA was tested using AUC of ROC curves, sensitivity, and specificity. The relationship between MDW and different pathogens as well as the impact of non-infectious conditions on MDW values were explored. For the prediction of infection, the AUC/ROC of MDW (0.84) was nearly overlapping that of procalcitonin (0.83), and C-reactive protein (0.89). Statistical optimal cut-off value for MDW was 21 for predicting infection (sensitivity 73%, specificity 82%) and 22 for predicting sepsis (sensitivity 79%, specificity 83%). The best threshold to rule out infection was MDW ≤ 17 (NPV 96.9, 95% CI 88.3-100.0), and ≤ 18 (NPV 99.5, 95% CI 98.3-100.0) to rule out sepsis. The combination of MDW with markers of organ dysfunction (creatinine, bilirubin, platelets) substantially improved the AUC (0.96 (95% CI 0.94-0.97); specificity and sensitivity of 88% and 94%, respectively). In conclusion, MDW has a good diagnostic performance in diagnosing infection and sepsis in patients presenting in ED. Its use as an infection marker even increases when combined with other markers of organ dysfunction. Understanding the impact of interactions of non-infectious conditions and comorbidities on MDW and its diagnostic accuracy requires further elucidation.
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Affiliation(s)
- Marcela Kralovcova
- 1st Department of Internal Medicine, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic
| | - Jiri Müller
- 1st Department of Internal Medicine, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic
| | - Zdenka Hajsmanova
- Institute of Clinical Biochemistry and Hematology, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic
| | - Pavla Sigutova
- Institute of Clinical Biochemistry and Hematology, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic
| | - Lenka Bultasova
- Institute of Clinical Biochemistry and Hematology, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic
| | - Jana Palatova
- Institute of Clinical Biochemistry and Hematology, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic
| | - Martin Matejovic
- 1st Department of Internal Medicine, Faculty of Medicine in Pilsen, Teaching Hospital, Charles University, Prague, alej Svobody 80, 323 00, Pilsen, Czech Republic.
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Diehl-Wiesenecker E, Galtung N, Dickescheid J, Prpic M, Somasundaram R, Kappert K, Bauer W. Blood calprotectin as a biomarker for infection and sepsis - the prospective CASCADE trial. BMC Infect Dis 2024; 24:496. [PMID: 38755564 PMCID: PMC11100246 DOI: 10.1186/s12879-024-09394-x] [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: 02/07/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Early in the host-response to infection, neutrophils release calprotectin, triggering several immune signalling cascades. In acute infection management, identifying infected patients and stratifying these by risk of deterioration into sepsis, are crucial tasks. Recruiting a heterogenous population of patients with suspected infections from the emergency department, early in the care-path, the CASCADE trial aimed to evaluate the accuracy of blood calprotectin for detecting bacterial infections, estimating disease severity, and predicting clinical deterioration. METHODS In a prospective, observational trial from February 2021 to August 2022, 395 patients (n = 194 clinically suspected infection; n = 201 controls) were enrolled. Blood samples were collected at enrolment. The accuracy of calprotectin to identify bacterial infections, and to predict and identify sepsis and mortality was analysed. These endpoints were determined by a panel of experts. RESULTS The Area Under the Receiver Operating Characteristic (AUROC) of calprotectin for detecting bacterial infections was 0.90. For sepsis within 72 h, calprotectin's AUROC was 0.83. For 30-day mortality it was 0.78. In patients with diabetes, calprotectin had an AUROC of 0.94 for identifying bacterial infection. CONCLUSIONS Calprotectin showed notable accuracy for all endpoints. Using calprotectin in the emergency department could improve diagnosis and management of severe infections, in combination with current biomarkers. CLINICAL TRIAL REGISTRATION NUMBER DRKS00020521.
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Affiliation(s)
- Eva Diehl-Wiesenecker
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Benjamin Franklin Campus, Zentrale Notaufnahme und Aufnahmestation, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Noa Galtung
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Benjamin Franklin Campus, Zentrale Notaufnahme und Aufnahmestation, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Johannes Dickescheid
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Benjamin Franklin Campus, Zentrale Notaufnahme und Aufnahmestation, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Monika Prpic
- Institute of Diagnostic Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Rajan Somasundaram
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Benjamin Franklin Campus, Zentrale Notaufnahme und Aufnahmestation, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Kai Kappert
- Institute of Diagnostic Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Labor Berlin - Charité Vivantes GmbH, Berlin, Germany
| | - Wolfgang Bauer
- Department of Emergency Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Benjamin Franklin Campus, Zentrale Notaufnahme und Aufnahmestation, Hindenburgdamm 30, 12203, Berlin, Germany.
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Marin MJ, van Wijk XMR, Chambliss AB. Advances in sepsis biomarkers. Adv Clin Chem 2024; 119:117-166. [PMID: 38514209 DOI: 10.1016/bs.acc.2024.02.003] [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] [Indexed: 03/23/2024]
Abstract
Sepsis, a dysregulated host immune response to an infectious agent, significantly increases morbidity and mortality for hospitalized patients worldwide. This chapter reviews (1) the basic principles of infectious diseases, pathophysiology and current definition of sepsis, (2) established sepsis biomarkers such lactate, procalcitonin and C-reactive protein, (3) novel, newly regulatory-cleared/approved biomarkers, such as assays that evaluate white blood cell properties and immune response molecules, and (4) emerging biomarkers and biomarker panels to highlight future directions and opportunities in the diagnosis and management of sepsis.
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Affiliation(s)
- Maximo J Marin
- Department of Pathology, Immunology & Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Allison B Chambliss
- Department of Pathology & Laboratory Medicine, University of California Los Angeles, Los Angeles, California, USA
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Yin S, Luo F, Xie J, Zeng Y, Fang Q, Zong J, Cao L, Yin H, Duan L, Zhou D. Identification of discriminatory factors and construction of nomograms for differentiating AOSD and sepsis. Clin Rheumatol 2024; 43:569-578. [PMID: 38063950 DOI: 10.1007/s10067-023-06824-0] [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: 05/05/2023] [Revised: 10/10/2023] [Accepted: 11/10/2023] [Indexed: 01/09/2024]
Abstract
OBJECTIVE This study aimed to develop nomogram prediction models to differentiate between adult-onset Still's disease (AOSD) and sepsis. METHODS We retrospectively collected laboratory test data from 107 hospitalized patients with AOSD and sepsis at the Affiliated Hospital of Xuzhou Medical University. Multivariate binary logistic regression was used to develop nomogram models using arthralgia, WBC, APTT, creatinine, PLT, and ferritin as independent factors. The performance of the model was evaluated by the bootstrap consistency index and calibration curve. RESULTS Model 1 had an AUC of 0.98 (95% CI, 0.96-1.00), specificity of 0.98, and sensitivity of 0.94. Model 2 had an AUC of 0.96 (95% CI, 0.93-1.00), specificity of 0.92, and sensitivity of 0.94. The fivefold cross-validation yielded an accuracy (ACC) of 0.92 and a kappa coefficient of 0.83 for Model 1, while for Model 2, the ACC was 0.87 and the kappa coefficient was 0.74. CONCLUSION The nomogram models developed in this study are useful tools for differentiating between AOSD and sepsis. Key Points • The differential diagnosis between AOSD and sepsis has always been a challenge • Delayed treatment of AOSD may lead to serious complications • We developed two nomogram models to distinguish AOSD from sepsis, which were not previously reported • Our models can be used to guide clinical practice with good discrimination.
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Affiliation(s)
- Songlou Yin
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China.
| | - Fei Luo
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China
| | - Jingzhi Xie
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China
| | - Yanzhen Zeng
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China
| | - Quanquan Fang
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China
| | - Juan Zong
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China
| | - Lina Cao
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China
| | - Hanqiu Yin
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China.
| | - Lili Duan
- Department of Rheumatology and Immunology, The People's Hospital of Jiawang District of Xuzhou, Xuzhou, Jiangsu, People's Republic of China.
| | - Dongmei Zhou
- Department of Rheumatology and Immunology, Affiliated Hospital of Xuzhou Medical University, 99 Huaihai West Road, Quanshan District, Xuzhou City, Jiangsu Province, People's Republic of China.
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Guo K, Pan B, Zhang X, Hu D, Xu G, Wang L, Dong S. Developing an early warning system for detecting sepsis in patients with trauma. Int Wound J 2024; 21:e14652. [PMID: 38272793 PMCID: PMC10789920 DOI: 10.1111/iwj.14652] [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: 12/01/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/27/2024] Open
Abstract
The purpose of this study was to analyse the risk factors for sepsis in patients with trauma and develop a new scoring system for predicting sepsis in patients with trauma based on these risk factors. This will provide a simple and effective early warning method for the rapid and accurate detection and evaluation of the probability of sepsis in patients with trauma to assist in planning timely clinical interventions. We undertook a retrospective analysis of the clinical data of 216 patients with trauma who were admitted to the emergency intensive care unit of the emergency medicine department of the Hebei Medical University Third Hospital, China, between November 2017 and October 2022. We conducted a preliminary screening of the relevant factors using univariate logistic regression analysis and included those factors with a p value of <0.075 in the multivariate logistic regression analysis, from which the risk factors were screened and assigned, and obtained a total score, which was the sepsis early warning score. The incidence of sepsis in patients in the intensive care unit with trauma was 36.9%, and the mortality rate due to sepsis was 19.4%. We found statistically significant differences in several factors for patients with sepsis. The risk factors for sepsis in patients with trauma were the activated partial thromboplastin time, the New Injury Severity Score, growth differentiation factor-15 levels, shock, mechanical ventilation and the Acute Physiology and Chronic Health Evaluation II score. The area under the receiver operating characteristic curve of the sepsis early warning score for predicting sepsis in patients with trauma was 0.725. When the cutoff value of the early warning score was set at 5.0 points, the sensitivity was 69.9% and the specificity was 60.3%. The incidence of sepsis in patients with trauma can be reduced by closely monitoring patients' hemodynamics, implementing adequate fluid resuscitation promptly and by early removal of the catheter to minimize the duration of unnecessary invasive mechanical ventilation. In this study, we found that the use of the sepsis early warning score helped in a more accurate and effective evaluation of the prognosis of patients with trauma.
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Affiliation(s)
- Kucun Guo
- Department of EmergencyThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Bao Pan
- Physical Examination CenterTiemenguan People's HospitalXinjiangChina
| | - Xinliang Zhang
- Department of EmergencyThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Dezheng Hu
- Department of EmergencyThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Guangyue Xu
- Department of EmergencyThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Lin Wang
- Department of EmergencyThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Shimin Dong
- Department of EmergencyThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
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Motawea KR, S Rozan S, Elsayed Talat N, H Elhalag R, Mohammed Reyad S, Chebl P, Swed S, Sawaf B, Hadeel Alfar H, Farwati A, Sabbagh B, M Madera E, El Metaafy A, J Barboza J, Sah R, Aiash H. Comparison of monocyte distribution width and Procalcitonin as diagnostic markers for sepsis: Meta-analysis of diagnostic test accuracy studies. PLoS One 2023; 18:e0288203. [PMID: 37535683 PMCID: PMC10399732 DOI: 10.1371/journal.pone.0288203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 06/21/2023] [Indexed: 08/05/2023] Open
Abstract
AIM We aimed to perform a meta-analysis to find out whether PCT and MDW could be used as accurate diagnostic markers for sepsis. METHODS We searched PUBMED, WOS, and SCOPUS databases. Inclusion criteria were any observational or clinical trials that compared monocyte Distribution Width [MDW] with Procalcitonin [PCT] as diagnostic markers in a patient with sepsis. Case reports, editorials, conference abstracts, and animal studies were excluded. RevMan software [5.4] was used to perform the meta-analysis. RESULTS After the complete screening, 5 observational studies were included in the meta-analysis. The total number of patients included in the meta-analysis in the sepsis group is 565 and 781 in the control group. The pooled analysis between the sepsis group and controls showed a statistically significant association between sepsis and increased levels of MDW and PCT [MD = 3.94, 95% CI = 2.53 to 5.36, p-value < 0.00001] and [MD = 9.29, 95% CI = 0.67 to 17.91, p-value = 0.03] respectively. Moreover, the subgroup analysis showed that the p-value of MDW levels [< 0.00001] is more significant than the p-value of PCT levels = 0.03, the p-value between the two subgroups [< 0.00001]. Additionally, the overall ROC Area for MDW [0.790] > the overall ROC Area for PCT [0.760]. CONCLUSION Our study revealed a statistically significant association between sepsis and increased MDW and PCT levels compared with controls and the overall ROC Area for MDW is higher than the overall ROC Area for PCT, indicating that the diagnostic accuracy of MDW is higher than PCT.MDW can be used as a diagnostic marker for sepsis patients in the emergency department. More multicenter studies are needed to support our findings.
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Affiliation(s)
- Karam R Motawea
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Samah S Rozan
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | | | - Rowan H Elhalag
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | | | - Pensée Chebl
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Sarya Swed
- Faculty of Medicine, Aleppo University, Aleppo, Syria
| | - Bisher Sawaf
- Internal Medicine Department, Hamad Medical Corporation, Doha, Qatar
| | | | - Amr Farwati
- Internal Medicine Department, Hamad Medical Corporation, Doha, Qatar
| | - Bana Sabbagh
- Department of Internal Medicine, Al-Mouwasat University Hospital, Al Mazzeh, Damascus, Syria
| | | | | | | | - Ranjit Sah
- Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
- Department of Microbiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India
- Department of Public Health Dentistry, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India
| | - Hani Aiash
- Department of Medicine, Upstate Medical University, Syracuse, NY, United States of America
- Department of Surgery, Upstate Medical University, Syracuse, NY, United States of America
- Department of Family Medicine, College of Medicine, Suez Canal University, Ismailia, Egypt
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Daorattanachai K, Hirunrut C, Pirompanich P, Weschawalit S, Srivilaithon W. Association of Monocyte Distribution Width with the Need for Respiratory Support in Hospitalized COVID-19 Patients. Indian J Crit Care Med 2023; 27:352-357. [PMID: 37214109 PMCID: PMC10196649 DOI: 10.5005/jp-journals-10071-24447] [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: 02/27/2023] [Accepted: 04/04/2023] [Indexed: 05/24/2023] Open
Abstract
Background The monocyte distribution width (MDW), a novel inflammatory biomarker reflecting morphological changes in response to inflammation, has been shown to be useful in identifying COVID-19 infection or predicting death. However, data on the association with predicting the need for respiratory support are still limited. The aim of this study was to determine the association of MDW with the need for respiratory support in patients with SARS-CoV-2 infection. Patients and methods This is a single-center retrospective cohort study. Consecutive hospitalized COVID-19 adult patients who presented at the outpatient department (OPD) or emergency department (ED) between May and August 2021 were enrolled. Respiratory support was defined as any one of the following: conventional oxygen therapy, high-flow oxygen nasal cannula, noninvasive, or invasive mechanical ventilation. The performance of MDW was measured using the area under the receiver operating characteristic (AuROC) curve. Results Of the 250 enrolled patients, 122 (48.8%) patients received respiratory support. The mean MDW was significantly higher in the respiratory support group: 27.2 ± 4.6 vs 23.6 ± 4.1 (p < 0.001). The MDW ≥ 25 had the best AuROC characteristics of 0.70 (95% CI: 0.65-0.76). Conclusions The MDW is a potential biomarker that may aid in identifying individuals at risk of requiring oxygen support in COVID-19 and can be easily implemented in clinical practice. How to cite this article Daorattanachai K, Hirunrut C, Pirompanich P, Weschawalit S, Srivilaithon W. Association of Monocyte Distribution Width with the Need for Respiratory Support in Hospitalized COVID-19 Patients. Indian J Crit Care Med 2023;27(5):352-357.
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Affiliation(s)
| | - Chachchom Hirunrut
- Department of Emergency Medicine, Thammasat University, Pathum Thani, Thailand
| | - Pattarin Pirompanich
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Thammasat University, Thailand
| | - Sinee Weschawalit
- Division of Dermatology, Department of Medicine, Thammasat University, Thailand
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Chang CY, Hsu TY, He GY, Shih HM, Wu SH, Huang FW, Chen PC, Tsai WC. Utility of monocyte distribution width in the differential diagnosis between simple and complicated diverticulitis: a retrospective cohort study. BMC Gastroenterol 2023; 23:96. [PMID: 36977993 PMCID: PMC10047462 DOI: 10.1186/s12876-023-02736-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 03/20/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Colonic diverticulitis is a leading cause of abdominal pain. The monocyte distribution width (MDW) is a novel inflammatory biomarker with prognostic significance for coronavirus disease and pancreatitis; however, no study has assessed its correlation with the severity of colonic diverticulitis. METHODS This single-center retrospective cohort study included patients older than 18 years who presented to the emergency department between November 1, 2020, and May 31, 2021, and received a diagnosis of acute colonic diverticulitis after abdominal computed tomography. The characteristics and laboratory parameters of patients with simple versus complicated diverticulitis were compared. The significance of categorical data was assessed using the chi-square or Fisher's exact test. The Mann-Whitney U test was used for continuous variables. Multivariable regression analysis was performed to identify predictors of complicated colonic diverticulitis. Receiver operator characteristic (ROC) curves were used to test the efficacy of inflammatory biomarkers in distinguishing simple from complicated cases. RESULTS Of the 160 patients enrolled, 21 (13.125%) had complicated diverticulitis. Although right-sided was more prevalent than left-sided colonic diverticulitis (70% versus 30%), complicated diverticulitis was more common in those with left-sided colonic diverticulitis (61.905%, p = 0.001). Age, white blood cell (WBC) count, neutrophil count, C-reactive protein (CRP) level, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and MDW were significantly higher in the complicated diverticulitis group (p < 0.05). Logistic regression analysis indicated that the left-sided location and the MDW were significant and independent predictors of complicated diverticulitis. The area under the ROC curve (AUC) was as follows: MDW, 0.870 (95% confidence interval [CI], 0.784-0.956); CRP, 0.800 (95% CI, 0.707-0.892); NLR, 0.724 (95% CI, 0.616-0.832); PLR, 0.662 (95% CI, 0.525-0.798); and WBC, 0.679 (95% CI, 0.563-0.795). When the MDW cutoff was 20.38, the sensitivity and specificity were maximized to 90.5% and 80.6%, respectively. CONCLUSIONS A large MDW was a significant and independent predictor of complicated diverticulitis. The optimal cutoff value for MDW is 20.38 as it exhibits maximum sensitivity and specificity for distinguishing between simple and complicated diverticulitis The MDW may aid in planning antibiotic therapy for patients with colonic diverticulitis in the emergency department.
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Affiliation(s)
- Chang-Yuan Chang
- College of Medicine, China Medical University, Taichung, Taiwan
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Tai-Yi Hsu
- College of Medicine, China Medical University, Taichung, Taiwan
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Guan-Yi He
- Department of Dermatology, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hong-Mo Shih
- College of Medicine, China Medical University, Taichung, Taiwan
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Shih-Hao Wu
- College of Medicine, China Medical University, Taichung, Taiwan
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Exercise Health Science, National Taiwan University of Sport, Taichung, Taiwan
| | - Fen-Wei Huang
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Pei-Chun Chen
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Wen-Chen Tsai
- Department of Health Services Administration, China Medical University, No. 100, Sec. 1, Jingmao Rd., Beitun Dist., Taichung City, 406040, Taiwan.
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Comparison of the Diagnostic Accuracies of Monocyte Distribution Width, Procalcitonin, and C-Reactive Protein for Sepsis: A Systematic Review and Meta-Analysis. Crit Care Med 2023; 51:e106-e114. [PMID: 36877030 PMCID: PMC10090344 DOI: 10.1097/ccm.0000000000005820] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
OBJECTIVES We performed a systemic review and meta-analysis to evaluate the diagnostic accuracy of monocyte distribution width (MDW) and to compare with procalcitonin and C-reactive protein (CRP), in adult patients with sepsis. DATA SOURCES A systematic literature search was performed in PubMed, Embase, and the Cochrane Library to identify all relevant diagnostic accuracy studies published before October 1, 2022. STUDY SELECTION Original articles reporting the diagnostic accuracy of MDW for sepsis detection with the Sepsis-2 or Sepsis-3 criteria were included. DATA EXTRACTION Study data were abstracted by two independent reviewers using a standardized data extraction form. DATA SYNTHESIS Eighteen studies were included in the meta-analysis. The pooled sensitivity and specificity of MDW were 84% (95% CI [79-88%]) and 68% (95% CI [60-75%]). The estimated diagnostic odds ratio and the area under the summary receiver operating characteristic curve (SROC) were 11.11 (95% CI [7.36-16.77]) and 0.85 (95% CI [0.81-0.89]). Significant heterogeneity was observed among the included studies. Eight studies compared the diagnostic accuracies of MDW and procalcitonin, and five studies compared the diagnostic accuracies of MDW and CRP. For MDW versus procalcitonin, the area under the SROC was similar (0.88, CI = 0.84-0.93 vs 0.82, CI = 0.76-0.88). For MDW versus CRP, the area under the SROC was similar (0.88, CI = 0.83-0.93 vs 0.86, CI = 0.78-0.95). CONCLUSIONS The results of the meta-analysis indicate that MDW is a reliable diagnostic biomarker for sepsis as procalcitonin and CRP. Further studies investigating the combination of MDW and other biomarkers are advisable to increase the accuracy in sepsis detection.
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Malinovska A, Hernried B, Lin A, Badaki-Makun O, Fenstermacher K, Ervin AM, Ehrhardt S, Levin S, Hinson JS. Monocyte Distribution Width as a Diagnostic Marker for Infection: A Systematic Review and Meta-analysis. Chest 2023:S0012-3692(23)00122-8. [PMID: 36681146 DOI: 10.1016/j.chest.2022.12.049] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/16/2022] [Accepted: 12/22/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Monocyte distribution width (MDW) is an emerging biomarker for infection. It is available easily and quickly as part of the CBC count, which is performed routinely on hospital admission. The increasing availability and promising results of MDW as a biomarker in sepsis has prompted an expansion of its use to other infectious diseases. RESEARCH QUESTION What is the diagnostic performance of MDW across multiple infectious disease outcomes and care settings? STUDY DESIGN AND METHODS A systematic review of the diagnostic performance of MDW across multiple infectious disease outcomes was conducted by searching PubMed, Embase, Scopus, and Web of Science through February 4, 2022. Meta-analysis was performed for outcomes with three or more reports identified (sepsis and COVID-19). Diagnostic performance measures were calculated for individual studies with pooled estimates created by linear mixed-effects models. RESULTS We identified 29 studies meeting inclusion criteria. Most examined sepsis (19 studies) and COVID-19 (six studies). Pooled estimates of diagnostic performance for sepsis differed by reference standard (Second vs Third International Consensus Definitions for Sepsis and Septic Shock criteria) and tube anticoagulant used and ranged from an area under the receiver operating characteristic curve (AUC) of 0.74 to 0.94, with mean sensitivity of 0.69 to 0.79 and mean specificity of 0.57 to 0.86. For COVID-19, the pooled AUC of MDW was 0.76, mean sensitivity was 0.79, and mean specificity was 0.59. INTERPRETATION MDW exhibited good diagnostic performance for sepsis and COVID-19. Diagnostic thresholds for sepsis should be chosen with consideration of reference standard and tube type used. TRIAL REGISTRY Prospero; No.: CRD42020210074; URL: https://www.crd.york.ac.uk/prospero/.
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Affiliation(s)
- Alexandra Malinovska
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Center for Clinical Trials and Evidence Synthesis, Department of Epidemiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Benjamin Hernried
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Andrew Lin
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Oluwakemi Badaki-Makun
- Division of Pediatric Emergency Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Katherine Fenstermacher
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ann Margret Ervin
- Center for Clinical Trials and Evidence Synthesis, Department of Epidemiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Stephan Ehrhardt
- Center for Clinical Trials and Evidence Synthesis, Department of Epidemiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Scott Levin
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jeremiah S Hinson
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
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Sensitivity and specificity of monocyte distribution width (MDW) in detecting patients with infection and sepsis in patients on sepsis pathway in the emergency department. Infection 2022; 51:715-727. [PMCID: PMC9672566 DOI: 10.1007/s15010-022-01956-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 11/08/2022] [Indexed: 11/19/2022]
Abstract
Abstract
Purpose
Monocyte distribution width (MDW) is a biomarker for the early identification of sepsis. We assessed its accuracy in patients presenting with suspected sepsis in the emergency department (ED).
Methods
This was a single gate, single centre study in consecutive adults (≥ 18 years) admitted to the ED with suspected sepsis and clinical history compatible with infection, between 01 January and 31 December 2020 (n = 2570).
Results
The overall median MDW was 22.0 (IQR 19.3, 25.6). Using Sepsis-3 (qSOFA) to define sepsis, the Area Under Curve (AUC) for a receiver operator characteristic (ROC) relationship was 0.59 (95% CI 0.56, 0.61). Discrimination was similar using other clinical scores, and to that of C-reactive protein. At an MDW cutoff of 20.0, sensitivity was 0.76 (95% CI 0.73, 0.80) and specificity 0.35 (95% CI 0.33, 0.37) for Sepsis-3. MDW showed better performance to discriminate infection, with AUC 0.72 (95% CI 0.69, 0.75). At MDW 20.0, sensitivity for infection was 0.72 (95% CI 0.70, 0.74) and specificity 0.64 (95% CI 0.59, 0.70). A sensitivity analysis excluding coronavirus disease (COVID-19) admissions (n = 552) had no impact on the AUC. MDW distribution at admission was similar for bacteraemia and COVID-19.
Conclusions
In this population of ED admissions with a strong clinical suspicion of sepsis, MDW had a performance to identify sepsis comparable to that of other commonly used biomarkers. In this setting, MDW could be a useful additional marker of infection.
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12
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Polilli E, Di Iorio G, Silveri C, Angelini G, Anelli MC, Esposito JE, D’Amato M, Parruti G, Carinci F. Monocyte Distribution Width as a predictor of community acquired sepsis in patients prospectively enrolled at the Emergency Department. BMC Infect Dis 2022; 22:849. [PMCID: PMC9661454 DOI: 10.1186/s12879-022-07803-7] [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: 07/06/2022] [Accepted: 10/25/2022] [Indexed: 11/16/2022] Open
Abstract
Background Monocyte Distribution Width (MDW), a simple cellular marker of innate monocyte activation, can be used for the early recognition of sepsis. We performed an observational prospective monocentric study to assess the predictive role of MDW in detecting sepsis in a sample of consecutive patients presenting at the Emergency Department.
Methods Prospective observational study using demographic and clinical characteristics, past medical history and other laboratory measurements to predict confirmed sepsis using multivariate logistic regression.
Results A total of 2724 patients were included in the study, of which 272 (10%) had sepsis or septic shock. After adjusting for known and potential risk factors, logistic regression found the following independent predictors of sepsis: SIRS equal to 1 (OR: 2.32, 1.16–4.89) and 2 or more (OR: 27.8, 14.8–56.4), MDW > 22 (OR: 3.73, 2.46–5.70), smoking (OR: 3.0, 1.22–7.31), end stage renal function (OR: 2.3, 1.25–4.22), neurodegenerative disease (OR: 2.2, 1.31–3.68), Neutrophils ≥ 8.9 × 103/µL (OR: 2.73, 1.82–4.11), Lymphocytes < 1.3 × 103/µL (OR: 1.72, 1.17–2.53) and CRP ≥ 19.1 mg/L (OR: 2.57, 1.63–4.08). A risk score derived from predictive models achieved high accuracy by using an optimal threshold (AUC: 95%; 93–97%). Conclusions The study suggests that incorporating MDW in the clinical decision process may improve the early identification of sepsis, with minimal additional effort on the standard procedures adopted during emergency care.
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Affiliation(s)
- Ennio Polilli
- grid.461844.bClinical Pathology Unit, Pescara General Hospital, Pescara, Italy
| | - Giancarlo Di Iorio
- grid.461844.bClinical Pathology Unit, Pescara General Hospital, Pescara, Italy
| | - Claudio Silveri
- grid.461844.bEmergency Department, Pescara General Hospital, Pescara, Italy
| | - Gilda Angelini
- grid.461844.bClinical Pathology Unit, Pescara General Hospital, Pescara, Italy
| | | | - Jessica Elisabetta Esposito
- grid.461844.bClinical Pathology Unit, Pescara General Hospital, Pescara, Italy ,grid.158820.60000 0004 1757 2611Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Milena D’Amato
- grid.461844.bClinical Pathology Unit, Pescara General Hospital, Pescara, Italy
| | - Giustino Parruti
- grid.461844.bInfectious Diseases Unit, Pescara General Hospital, Pescara, Italy
| | - Fabrizio Carinci
- grid.6292.f0000 0004 1757 1758Department of Statistical Sciences, Bologna University, Bologna, Italy
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