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Levinson T, Wasserman A, Shenhar-Tsarfaty S, Halutz O, Shapira I, Zeltser D, Rogowski O, Berliner S, Ziv-Baran T. Comparative analysis of CRP as a biomarker of the inflammatory response intensity among common viral infections affecting the lungs: COVID-19 versus influenza A, influenza B and respiratory syncytial virus. Clin Exp Med 2023; 23:5307-5313. [PMID: 37640989 DOI: 10.1007/s10238-023-01176-0] [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: 11/10/2022] [Accepted: 08/18/2023] [Indexed: 08/31/2023]
Abstract
Severe acute respiratory syndrome-corona virus 2 (SARS-CoV-2) is associated with significant morbidity and mortality. C-reactive protein (CRP) is a useful inflammatory biomarker for patients admitted with an infection. This study aimed to compare CRP level as an indicator of inflammation severity between SARS-CoV-2 and common respiratory viral infections. A cross-sectional study of all adult patients hospitalized in the internal medicine department, geriatric department, or internal intensive care unit between 02/2012 and 06/2021 with laboratory-confirmed respiratory viral infection was performed. SARS-CoV-2, influenza A, influenza B, and respiratory syncytial virus (RSV) were studied. Patients with laboratory-confirmed concurrent viral or bacterial infections were excluded. Patients with malignancy were also excluded. Age, gender, comorbidities, and CRP level upon admission were compared between groups. Univariate and multivariable analyses were applied. Among 1124 patients, 18.2% had SARS‑CoV‑2, 48.3% influenza A, 18.9% RSV, and 14.6% influenza B. SARS‑CoV‑2 patients were significantly younger (median 69.4 vs. ≥ 76 years) and had lower Charlson score (median 3 vs. ≥ 4 in other groups) compared to patients with other viral pathogens. After adjustment for patients' age, gender and comorbidities, SARS‑CoV‑2 patients had a higher probability (OR = 1.84-2.02, p < 0.01) of having CRP values in the upper quartile (> 117 mg/L) compared to all other viral pathogens while between all others there was no significant difference. To conclude, a higher CRP level upon admission is approximately twice more common among SARS-CoV-2 patients compared to other widespread respiratory viruses which may demonstrate the higher intensity of inflammation caused by SARS-CoV-2.
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Affiliation(s)
- Tal Levinson
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
- Infectious Diseases Unit, Tel-Aviv Sourasky Medical Center, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Asaf Wasserman
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Shani Shenhar-Tsarfaty
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Ora Halutz
- Clinical Microbiology Laboratory, Tel-Aviv Sourasky Medical Center, 6 Weizmann Street, 6423906, Tel-Aviv, Israel
| | - Itzhak Shapira
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - David Zeltser
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Ori Rogowski
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Shlomo Berliner
- Department of Internal Medicine "C" and "E", Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, 6423906, Tel Aviv, Israel
| | - Tomer Ziv-Baran
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, P.O.B. 39040, 6997801, Tel Aviv, Israel.
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Feigin E, Levinson T, Witztum T, Adler A, Goldiner I, Egoz E, Rogowski O, Meilik A, Zeltser D, Shapira I, Shenhar-Tsarfaty S, Berliner S, Wasserman A. Early signaling of bacteremia in patients who present to the Department of Emergency Medicine with relatively low C-Reactive Protein (CRP) concentrations. Clin Chim Acta 2023:117451. [PMID: 37336422 DOI: 10.1016/j.cca.2023.117451] [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: 05/03/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 06/21/2023]
Abstract
OBJECTIVES Examiningthe usefulness of C-reactive protein velocity (CRPv) as an early biomarker for the presence of bacteraemia in patients presenting to the Department of Emergency Medicine with acute infection/inflammation and suspected bacteraemia. METHODS A retrospective study examining a cohort of patients who presented to the E.R and in whom blood cultures were taken. CRPv was calculated as the difference in mg/hour/litter between two consecutive CRP tests performed within 12 hours. RESULTS 256 patients were included in the cohort. Using CRPv in patients who at first presented with a relatively low (17.9≤mg/L 1stquartile) CRP concentration, we found an AUC of 0.808±0.038 (p<0.001) for the presence of positive versus negative blood cultures (what is AUC?). This was better than the AUC that was obtained when the WBC for the same purpose. CONCLUSIONS CRPv may be a useful biomarker in the identification of patients with suspected bacteremiaand a low CRP-a challenging situation for clinicians who may underestimate the severity of illness in this patient group.
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Affiliation(s)
- Eugene Feigin
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Tal Levinson
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel; Infectious Diseases Unit, Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Tamar Witztum
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Amos Adler
- Microbiology Laboratory, Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Ilana Goldiner
- Laboratory Medicine, Tel Aviv Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 64239, Israel.
| | - Eyal Egoz
- I-Medata AI Center, Tel-Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
| | - Ori Rogowski
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Ahuva Meilik
- I-Medata AI Center, Tel-Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
| | - David Zeltser
- Department of Emergency medicine, Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Itzhak Shapira
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Shani Shenhar-Tsarfaty
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Shlomo Berliner
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
| | - Asaf Wasserman
- Department of Internal Medicine "C", "D", & "E", Tel Aviv Sourasky Medical Center Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel.
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Wang N, Liu L, He W, Shang N, Li J, Qin Z, Du X. Circulating mid-regional proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis. BMC Infect Dis 2023; 23:305. [PMID: 37158819 PMCID: PMC10165584 DOI: 10.1186/s12879-023-08275-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 04/24/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Although there is increasing understanding of the changes in the laboratory parameters of Coronavirus disease 2019 (COVID-19), the correlation between circulating Mid-regional Proadrenomedullin (MR-proADM) and mortality of patients with COVID-19 is not fully understood. In this study, we conducted a systematic review and meta-analysis to evaluate the prognostic value of MR-proADM in patients with COVID-19. METHODS The PubMed, Embase, Web of Science, Cochrane Library, Wanfang, SinoMed and Chinese National Knowledge Infrastructure (CNKI) databases were searched from 1 January 2020 to 20 March 2022 for relevant literature. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess quality bias, STATA was employed to pool the effect size by a random effects model, and potential publication bias and sensitivity analyses were performed. RESULTS 14 studies comprising 1822 patients with COVID-19 met the inclusion criteria, there were 1145 (62.8%) males and 677 (31.2%) females, and the mean age was 63.8 ± 16.1 years. The concentration of MR-proADM was compared between the survivors and non-survivors in 9 studies and the difference was significant (P < 0.01), I2 = 46%. The combined sensitivity was 0.86 [0.73-0.92], and the combined specificity was 0.78 [0.68-0.86]. We drew the summary receiver operating characteristic (SROC) curve and calculated the area under curve (AUC) = 0.90 [0.87-0.92]. An increase of 1 nmol/L of MR-proADM was independently associated with a more than threefold increase in mortality (odds ratio (OR) 3.03, 95% confidence interval (CI) 2.26-4.06, I2 = 0.0%, P = 0.633). The predictive value of MR-proADM for mortality was better than many other biomarkers. CONCLUSION MR-proADM had a very good predictive value for the poor prognosis of COVID-19 patients. Increased levels of MR-proADM were independently associated with mortality in COVID-19 patients and may allow a better risk stratification.
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Affiliation(s)
- Na Wang
- Emergency department of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Lushan Liu
- Emergency department of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Wei He
- Emergency department of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Na Shang
- Emergency department of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Junyu Li
- Emergency department of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Zhou Qin
- Emergency department of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China
| | - Xiaoxia Du
- Department of neurorehabilitation of China Rehabilitation Research Center, Capital Medical University, no.10 Jiaomen north Street, Fengtai District, Beijing, 100068, China.
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Huyut MT, Huyut Z. Effect of ferritin, INR, and D-dimer immunological parameters levels as predictors of COVID-19 mortality: A strong prediction with the decision trees. Heliyon 2023; 9:e14015. [PMID: 36919085 PMCID: PMC9985543 DOI: 10.1016/j.heliyon.2023.e14015] [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: 03/02/2022] [Revised: 01/25/2023] [Accepted: 02/17/2023] [Indexed: 03/07/2023] Open
Abstract
Background and objective A hyperinflammatory environment is thought to be the distinctive characteristic of COVID-19 infection and an important mediator of morbidity. This study aimed to determine the effect of other immunological parameter levels, especially ferritin, as a predictor of COVID-19 mortality via decision-trees analysis. Material and method This is a retrospective study evaluating a total of 2568 patients who died (n = 232) and recovered (n = 2336) from COVID-19 in August and December 2021. Immunological laboratory data were compared between two groups that died and recovered from patients with COVID-19. In addition, decision trees from machine learning models were used to evaluate the performance of immunological parameters in the mortality of the COVID-19 disease. Results Non-surviving from COVID-19 had 1.75 times higher ferritin, 10.7 times higher CRP, 2.4 times higher D-dimer, 1.14 times higher international-normalized-ratio (INR), 1.1 times higher Fibrinogen, 22.9 times higher procalcitonin, 3.35 times higher troponin, 2.77 mm/h times higher erythrocyte-sedimentation-rate (ESR), 1.13sec times longer prothrombin time (PT) when compared surviving patients. In addition, our interpretable decision tree, which was constructed with only the cut-off values of ferritin, INR, and D-dimer, correctly predicted 99.7% of surviving patients and 92.7% of non-surviving patients. Conclusions This study perfectly predicted the mortality of COVID-19 with our interpretable decision tree constructed with INR and D-dimer, especially ferritin. For this reason, we think that it may be important to include ferritin, INR, and D-dimer parameters and their cut-off values in the scoring systems to be planned for COVID-19 mortality.
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Affiliation(s)
- Mehmet Tahir Huyut
- Erzincan Binali Yıldırım University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Erzincan, Turkey
- Corresponding author. Erzincan Binali Yıldırım University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Erzincan, Turkey.
| | - Zübeyir Huyut
- Van Yuzuncu Yıl University, Faculty of Medicine, Department of Biochemistry, Van, Turkey
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Piovani D, Tsantes AG, Bonovas S. Prognostic Role of Neutrophil-to-Lymphocyte Ratio in Patients with COVID-19. J Clin Med 2022; 11:jcm11164688. [PMID: 36012928 PMCID: PMC9410484 DOI: 10.3390/jcm11164688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 08/09/2022] [Indexed: 11/30/2022] Open
Affiliation(s)
- Daniele Piovani
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Andreas G. Tsantes
- Laboratory of Haematology and Blood Bank Unit, “Attiko” University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12462 Athens, Greece
- Microbiology Department, “Saint Savvas” Oncology Hospital, 11522 Athens, Greece
| | - Stefanos Bonovas
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
- Correspondence:
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Niculae A, Peride I, Nechita AM, Petcu LC, Tiglis M, Checherita IA. Epidemiological Characteristics and Mortality Risk Factors Comparison in Dialysis and Non-Dialysis CKD Patients with COVID-19-A Single Center Experience. J Pers Med 2022; 12:jpm12060966. [PMID: 35743751 PMCID: PMC9224649 DOI: 10.3390/jpm12060966] [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: 05/16/2022] [Revised: 06/05/2022] [Accepted: 06/11/2022] [Indexed: 01/08/2023] Open
Abstract
(1) Background: Despite some controversies between studies, chronic kidney disease (CKD) has a negative impact on COVID-19 outcomes, with patients presenting a higher mortality risk than in the general population. Studies have shown an association between COVID-19 severe cases and different inflammatory biomarkers. The aim of this study was to emphasize the epidemiological characteristics of CKD patients diagnosed with COVID-19 and to determine if the risk of mortality, and the severity of this infection might be influenced by different parameters. (2) Methods: Our retrospective study included CKD patients with COVID-19—362 in the non-dialysis group and 132 in the dialysis group. (3) Results: There were significant statistical differences between our groups regarding age (p < 0.001), hemoglobin (p < 0.001), interleukin-6 (p < 0.001), serum albumin (p = 0.016), procalcitonin (p = 0.002), ferritin (p < 0.001), and of course serum creatinine (p < 0.001). Even if the risk of death was higher in the dialysis group (Exp(b) = 1.839), the survival proportions were similar in both groups. (4) Conclusions: High values of hemoglobin, serum creatinine, and LDH at admission, age, length of hospital stay ≤ 10 days, and a pulmonary impairment > 25% are responsible for an adverse outcome in non-dialysis and dialysis patients diagnosed with COVID-19.
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Affiliation(s)
- Andrei Niculae
- Clinical Department No. 3, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (A.N.); (I.A.C.)
- Department of Nephrology and Dialysis, “St. John” Emergency Clinical Hospital, 042122 Bucharest, Romania;
| | - Ileana Peride
- Clinical Department No. 3, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (A.N.); (I.A.C.)
- Department of Nephrology and Dialysis, “St. John” Emergency Clinical Hospital, 042122 Bucharest, Romania;
- Correspondence: (I.P.); (M.T.)
| | - Ana-Maria Nechita
- Department of Nephrology and Dialysis, “St. John” Emergency Clinical Hospital, 042122 Bucharest, Romania;
| | - Lucian Cristian Petcu
- Department of Biophysics and Biostatistics, Faculty of Dentistry, “Ovidius” University, 900684 Constanta, Romania;
| | - Mirela Tiglis
- Clinical Department No. 14, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Correspondence: (I.P.); (M.T.)
| | - Ionel Alexandru Checherita
- Clinical Department No. 3, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (A.N.); (I.A.C.)
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