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Xiao B, Yang Z, Liang H, Han Y, Wu Y, Xiao J, Bi Y. Predictive value of D-dimer to albumin ratio for severe illness and mortality in patients with COVID-19. Front Med (Lausanne) 2024; 11:1410179. [PMID: 39144651 PMCID: PMC11322116 DOI: 10.3389/fmed.2024.1410179] [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: 04/09/2024] [Accepted: 07/08/2024] [Indexed: 08/16/2024] Open
Abstract
Objective Although the impact of the variants of COVID-19 on the general population is diminishing, there is still a certain mortality rate for severe and critically ill patients, especially for the elderly with comorbidities. The present study investigated whether the D-dimer to albumin ratio (DAR) can predict the severity of illness and mortality in COVID-19 patients. Methods A total of 1,993 patients with COVID-19 were retrospectively reviewed and the association of DAR with severe or critical illness or death during hospitalization was analyzed. The area under the ROC curve was used to screen the best indicators, Chi-square test, rank sum test, and univariate and multivariate binary logistic regression analysis were used to calculate the mean value of difference and adjusted odds ratio (aORs) with their 95% CI, and finally, survival was analyzed using Kaplan-Meier (KM) curves. Results Among 1,993 patients with COVID-19, 13.4% were severely ill, and the mortality rate was 2.3%. The area under the curve (AUC) using DAR to predict severe and critically ill patients was higher than that using other parameters. The best cut-off value of DAR was 21 in the ROC with a sensitivity of 83.1% and a specificity of 68.7%. After adjusting age, gender, comorbidities, and treatment, the binary logistic regression analysis showed that elevated DAR was an independent risk factor for severely ill and mortality of COVID-19 patients. The KM curve suggested that patients with a higher DAR was associated with worse survival. The negative predictive value of DAR (21) for adverse prognosis and death was 95.98 and 99.84%, respectively, with a sensitivity of 80.9 and 95.65%, respectively. Conclusion The DAR may be an important predictor for severe illness and mortality in COVID-19 patients.
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Affiliation(s)
- Benjie Xiao
- Department of Neurology, Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhangwei Yang
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Medical Department, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huazheng Liang
- Suzhou Industrial Park Monash Research Institute of Science and Technology, Suzhou, Jiangsu, China
| | - Yudi Han
- Department of Neurology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Yinyan Wu
- Department of Neurology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Jingjing Xiao
- Department of Neurology, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Yong Bi
- Department of Neurology, Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
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Lucijanic M, Krecak I, Busic I, Atic A, Stojic J, Sabljic A, Soric E, Veic P, Marevic S, Derek L, Mitrovic J, Luksic I. Estimated plasma volume status in COVID-19 patients and its relation to comorbidities and clinical outcomes. J Thromb Thrombolysis 2024; 57:50-57. [PMID: 37572182 DOI: 10.1007/s11239-023-02882-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/05/2023] [Indexed: 08/14/2023]
Abstract
Blood plasma is a large reservoir of circulating mediators of inflammation and its expansion has been associated with unfavorable outcomes in patients with inflammatory and cardiovascular diseases. The aim of this study was to determine clinical and prognostic value of estimated plasma volume status (ePVS) in hospitalized patients with COVID-19. We retrospectively investigated 5871 consecutive COVID-19 patient hospitalized in our tertiary-level institution in period 3/2020-6/2021. ePVS was determined using the Strauss-derived Duarte formula and was correlated with clinical characteristics and unwanted outcomes. Median ePVS was 4.77 dl/g with interquartile range 4.11-5.74. Higher ePVS was significantly associated with older age, female sex, higher comorbidity burden, worse functional status, less severe COVID-19 clinical presentation with lower severity and longer duration of symptoms, but more pronounced inflammatory profile with higher C-reactive protein, interleukin-6 and D-dimer levels (P < 0.05 for all analyses). In the multivariate regression analysis U shaped relationship of ePVS with mortality was revealed, present independently of age, sex, COVID-19 severity and comorbidity burden. In addition, higher ePVS was independently associated with higher tendency for mechanical ventilation, intensive care unit treatment, venous thromboembolism, major bleeding and bacteriemia and lower ePVS was independently associated with tendency for arterial thrombotic events. Higher ePVS, indicative of plasma volume expansion and inflammatory cytokine accumulation, may predispose respiratory deterioration and venous thromboembolism, despite less severe initial clinical presentation. Lower ePVS, indicative of hemoconcentration, may predispose arterial thrombotic events. Both may be associated with higher mortality in hospitalized COVID-19 patients.
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Affiliation(s)
- Marko Lucijanic
- Hematology Department, University Hospital Dubrava, Av. Gojka Suska 6, Zagreb, 10000, Croatia.
- School of Medicine, University of Zagreb, Zagreb, Croatia.
| | - Ivan Krecak
- Internal medicine department, General hospital of Sibenik-Knin county, Sibenik, Croatia
- Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Iva Busic
- School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Armin Atic
- Nephrology Department, University Hospital Center Zagreb, Zagreb, Croatia
| | - Josip Stojic
- Gastroenterology, Hepatology and Clinical Nutrition Department, University Hospital Dubrava, Zagreb, Croatia
| | - Anica Sabljic
- Hematology Department, University Hospital Dubrava, Av. Gojka Suska 6, Zagreb, 10000, Croatia
| | - Ena Soric
- Hematology Department, University Hospital Dubrava, Av. Gojka Suska 6, Zagreb, 10000, Croatia
| | - Petra Veic
- School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Sanja Marevic
- Clinical Department for Laboratory Diagnostics, University Hospital Dubrava, Zagreb, Croatia
| | - Lovorka Derek
- Clinical Department for Laboratory Diagnostics, University Hospital Dubrava, Zagreb, Croatia
| | - Josko Mitrovic
- School of Medicine, University of Zagreb, Zagreb, Croatia
- Clinical Immunology, Allergology and Rheumatology department, University hospital Dubrava, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Ivica Luksic
- School of Medicine, University of Zagreb, Zagreb, Croatia
- Maxillofacial surgery Department, University Hospital Dubrava, Zagreb, Croatia
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Kaufman DA. Fluids, fluids everywhere, but do we stop to think? J Crit Care 2023; 78:154379. [PMID: 37573158 DOI: 10.1016/j.jcrc.2023.154379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 08/14/2023]
Affiliation(s)
- David A Kaufman
- Division of Pulmonary & Critical Care Medicine, NYU School of Medicine, New York, NY, USA.
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Zerbato V, Sanson G, De Luca M, Di Bella S, di Masi A, Caironi P, Marini B, Ippodrino R, Luzzati R. The Impact of Serum Albumin Levels on COVID-19 Mortality. Infect Dis Rep 2022; 14:278-286. [PMID: 35645213 PMCID: PMC9149867 DOI: 10.3390/idr14030034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/07/2022] [Accepted: 04/14/2022] [Indexed: 12/22/2022] Open
Abstract
Low serum albumin (SA) correlates with mortality in critically ill patients, including those with COVID-19. We aimed to identify SA thresholds to predict the risk of longer hospital stay, severe respiratory failure, and death in hospitalized adult patients with COVID-19 pneumonia. A prospective longitudinal study was conducted at the Infectious Diseases Unit of Trieste University Hospital (Italy) between March 2020 and June 2021. The evaluated outcomes were: (1) need of invasive mechanical ventilation (IMV); (2) length of hospital stay (LOS); and (3) 90-day mortality rate. We enrolled 864 patients. Hypoalbuminemia (<3.5 g/dL) was detected in 586 patients (67.8%). SA on admission was significantly lower in patients who underwent IMV (2.9 vs. 3.4 g/dL; p < 0.001). The optimal SA cutoff predicting the need of IMV was 3.17 g/dL (AUC 0.688; 95% CI: 0.618−0.759; p < 0.001) and this threshold appeared as an independent risk factor for the risk of IMV in multivariate Cox regression analysis. The median LOS was 12 days and a higher SA was predictive for a shorter LOS (p < 0.001). The overall 90-day mortality rate was 15%. SA was significantly lower in patients who died within 90 days from hospital admission (3.1 g/dL; IQR 2.8−3.4; p < 0.001) as compared to those who survived (3.4 g/dL; IQR 3.1−3.7). The optimal SA threshold predicting high risk of 90-day mortality was 3.23 g/dL (AUC 0.678; 95% CI: 0.629−0.734; p < 0.001). In a multivariate Cox regression analysis, SA of <3.23 g/dL appeared to be an independent risk factor for 90-day mortality. Our results suggest that low SA on admission may identify patients with COVID-19 pneumonia at higher risk of severe respiratory failure, death, and longer LOS. Clinicians could consider 3.2 g/dL as a prognostic threshold for both IMV and mortality in hospitalized COVID-19 patients.
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Affiliation(s)
- Verena Zerbato
- Infectious Diseases Unit, Trieste University Hospital (ASUGI), 34125 Trieste, Italy;
| | - Gianfranco Sanson
- Clinical Department of Medical, Surgical and Health Sciences, Trieste University, 34149 Trieste, Italy; (G.S.); (R.L.)
| | - Marina De Luca
- Operative Unit of Medicina Clinica, Trieste University Hospital (ASUGI), 34125 Trieste, Italy;
| | - Stefano Di Bella
- Clinical Department of Medical, Surgical and Health Sciences, Trieste University, 34149 Trieste, Italy; (G.S.); (R.L.)
- Correspondence:
| | | | - Pietro Caironi
- Department of Anaesthesia and Critical Care, AOU S. Luigi Gonzaga, Department of Oncology, University of Turin, 10043 Turin, Italy;
| | - Bruna Marini
- Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy; (B.M.); (R.I.)
| | - Rudy Ippodrino
- Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy; (B.M.); (R.I.)
| | - Roberto Luzzati
- Clinical Department of Medical, Surgical and Health Sciences, Trieste University, 34149 Trieste, Italy; (G.S.); (R.L.)
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