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Liang A, Zhao W, Lv T, Zhu Z, Haotian R, Zhang J, Xie B, Yi Y, Hao Z, Sun L, Luo A. Advances in novel biosensors in biomedical applications. Talanta 2024; 280:126709. [PMID: 39151317 DOI: 10.1016/j.talanta.2024.126709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 07/09/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
Biosensors, devices capable of detecting biomolecules or bioactive substances, have recently become one of the important tools in the fields of bioanalysis and medical diagnostics. A biosensor is an analytical system composed of biosensitive elements and signal-processing elements used to detect various biological and chemical substances. Biomimetic elements are key to biosensor technology and are the components in a sensor that are responsible for identifying the target analyte. The construction methods and working principles of biosensors based on synthetic biomimetic elements, such as DNAzyme, molecular imprinted polymers and aptamers, and their updated applications in biomedical analysis are summarised. Finally, the technical bottlenecks and future development prospects for biomedical analysis are summarised and discussed.
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Affiliation(s)
- Axin Liang
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Weidong Zhao
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Tianjian Lv
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Ziyu Zhu
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Ruilin Haotian
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Jiangjiang Zhang
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Bingteng Xie
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Yue Yi
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Zikai Hao
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Liquan Sun
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Aiqin Luo
- Key Laboratory of Molecular Medicine and Biotherapy, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
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Zhou Y, Dong J, Lu H. Predictors and Clinical Significance of Myocardial Injury in Elderly Patients Under the COVID-19 Pandemic. Int J Gen Med 2024; 17:1369-1379. [PMID: 38601195 PMCID: PMC11005849 DOI: 10.2147/ijgm.s458365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024] Open
Abstract
Background The elderly patients are at increased high risk of myocardial injury and mortality after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aims to investigate the prevalence, predictors and prognostic implications of myocardial injury in the elderly patients with SARS-CoV-2 infection. Methods Patients aged over 65 years were consecutively recruited between April to May, 2022. Myocardial injury was assessed using the high-sensitivity cardiac troponin T (hs-cTnT) assay. The primary endpoint was in-hospital mortality. Results A total of 347 patients were recruited with a median age of 81 years. 45.8% were male and 18 (5.2%) deceased before discharge. Myocardial injury (hs-cTnT over 99% upper reference limit [URL]) was detected in 202 (58.2%) of patients. Predictors of myocardial injury included age (per 5-year increase), hypertension, vaccination, creatine, and neutrophil-to-lymphocyte ratio. hs-cTnT over 3 × URL was independently correlated with in-hospital mortality (adjusted odds ratio [adOR], 13.21; 95% confidence interval [CI], 2.11-87.1; p = 0.005) in comparison to hs-cTnT > URL (adOR, 0.66; 95% CI, 0.09-5.92; p = 0.680). Conclusion Myocardial injury was a common phenomenon and prognostic predictor in elder patients after SARS-CoV-2 infection. Higher threshold of myocardial injury may be considered to improve risk stratification.
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Affiliation(s)
- You Zhou
- Department of Cardiology, Shanghai Geriatric Medical Center, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, 200032, People’s Republic of China
| | - Jing Dong
- Department of Cardiology, Shanghai Geriatric Medical Center, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, 200032, People’s Republic of China
| | - Hao Lu
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, 200032, People’s Republic of China
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Lobo R, De Michieli L, Spears GM, Theel ES, Donato LJ, Wockenfus AM, Kelley BR, Jaffe AS. Serial high sensitivity troponin sampling in patients with SARS-CoV-2 infection. Clin Biochem 2024; 125:110732. [PMID: 38364931 DOI: 10.1016/j.clinbiochem.2024.110732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/09/2024] [Accepted: 02/10/2024] [Indexed: 02/18/2024]
Abstract
INTRODUCTION Multiple studies have investigated the role of cardiac troponin (cTn) in the risk stratification of patients with COVID-19. Most of these investigations are based on cTn values at presentation and do not consider the prognostic significance of cTn changes over time. This study aimed to investigate the prognostic role of serial cTn measurements in patients hospitalized with COVID-19 with samples that were not obtained for clinical indications. METHODS Patients hospitalized between April 2020 and March 2021 with PCR-confirmed SARS-CoV-2 infection were evaluated. Blood samples collected for any reason were stored for subsequent analysis. If clinical high sensitivity hs-cTnT (Roche) was not measured, samples were tested separately in batches. Hs-cTnI (Abbott) was also evaluated. RESULTS There were 228 unique patients. There were 21 (9.2 %) deaths. No patient with a low hs-cTnT (<6 ng/L) died and 1 patient with low hs-cTnI (<5 ng/L) died. Myocardial injury was associated with higher odds of death, when defined by hs-cTnT (OR: 7.88, 95 % CI: 2.04-30.40, p = 0.003) or hs-cTnI (OR: 7.46, 95 % CI: 2.68-20.77, p < 0.001). This association remained after propensity weighting. An increasing pattern was associated with higher odds of death compared to a stable pattern for hs-cTnT (OR: 5.45, 95 % CI: 1.81-16.40, p = 0.003) and hs-cTnI (OR: 4.49, 95 % CI: 1.02-19.81, p = 0.048). Among patients with myocardial injury defined by hs-cTnT, an increasing pattern was associated with higher odds of death compared to a decreasing pattern (OR: 4.80, 95 % CI: 1.16-19.97, p = 0.031). CONCLUSIONS Patients hospitalized with COVID-19 with myocardial injury have higher odds of death. Serial hs-cTn testing provides additional risk stratification in these patients.
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Affiliation(s)
- Ronstan Lobo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Laura De Michieli
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA; Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Italy
| | - Grant M Spears
- Department of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Elitza S Theel
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Leslie J Donato
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Amy M Wockenfus
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Brandon R Kelley
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Allan S Jaffe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
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De Michieli L, Cipriani A, Iliceto S, Dispenzieri A, Jaffe AS. Cardiac Troponin in Patients With Light Chain and Transthyretin Cardiac Amyloidosis: JACC: CardioOncology State-of-the-Art Review. JACC CardioOncol 2024; 6:1-15. [PMID: 38510286 PMCID: PMC10950441 DOI: 10.1016/j.jaccao.2023.12.006] [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: 08/31/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 03/22/2024] Open
Abstract
Cardiac amyloidosis (CA) is an infiltrative disease caused by amyloid fibril deposition in the myocardium; the 2 forms that most frequently involve the heart are amyloid light chain (AL) and amyloid transthyretin (ATTR) amyloidosis. Cardiac troponin (cTn) is the biomarker of choice for the detection of myocardial injury and is frequently found to be elevated in patients with CA, particularly with high-sensitivity assays. Multiple mechanisms of myocardial injury in CA have been proposed, including cytotoxic effect of amyloid precursors, interstitial amyloid fibril infiltration, coronary microvascular dysfunction, amyloid- and non-amyloid-related coronary artery disease, diastolic dysfunction, and heart failure. Regardless of the mechanisms, cTn values have relevant prognostic (and potentially diagnostic) implications in both AL and ATTR amyloidosis. In this review, the authors discuss the significant aspects of cTn biology and measurement methods, potential mechanisms of myocardial injury in CA, and the clinical application of cTn in the management of both AL and ATTR amyloidosis.
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Affiliation(s)
- Laura De Michieli
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
- Cardiovascular Department, Mayo Clinic and Medical School, Rochester, Minnesota, USA
| | - Alberto Cipriani
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
- Cardiology Unit, University Hospital of Padua, Padua, Italy
| | - Sabino Iliceto
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
- Cardiology Unit, University Hospital of Padua, Padua, Italy
| | | | - Allan S. Jaffe
- Cardiovascular Department, Mayo Clinic and Medical School, Rochester, Minnesota, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic and Medical School, Rochester, Minnesota, USA
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De Michieli L, Jaffe AS. Cancer Therapy-Related Cardiac Dysfunction: Expanding the Horizon of Cardiac Troponin in Clinical Practice. JACC CardioOncol 2024; 6:96-98. [PMID: 38510291 PMCID: PMC10950439 DOI: 10.1016/j.jaccao.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024] Open
Affiliation(s)
- Laura De Michieli
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
- Cardiovascular Department, Mayo Clinic and Medical School, Rochester, Minnesota, USA
| | - Allan S. Jaffe
- Cardiovascular Department, Mayo Clinic and Medical School, Rochester, Minnesota, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic and Medical School, Rochester, Minnesota, USA
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Gonjilashvili A, Tatishvili S. The interplay between Sars-Cov-2 infection related cardiovascular diseases and depression. Common mechanisms, shared symptoms. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2024; 38:100364. [PMID: 38510743 PMCID: PMC10945907 DOI: 10.1016/j.ahjo.2024.100364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/05/2024] [Accepted: 01/06/2024] [Indexed: 03/22/2024]
Abstract
In 2020 the World Health organization announced a pandemic due to the outbreak of the Coronavirus disease 19. Pneumonia was the most common manifestation of the Sars-Cov-2 infection, however, clinical papers describe Sars-Cov-2 associated cardiovascular pathologies, such as ACS, myopericarditis, cardiomyopathies, dysrhythmias, as leading causes of increased morbidity and mortality. The short and long term prognosis of Sars-Cov-2-related cardiovascular diseases was defined not only by the disease severity itself but also by associated conditions and complications, among which mental health issues (stress, depression and anxiety) have a negative impact. The interplay between Sars-Cov-2 infection, cardiovascular disease and depression may be explained by hyperinflammation, unhealthy lifestyle and inter-organ communication, mediated by extracellular vesicles (EV) and non-coding MicroRNA (miRNA). The long Covid syndrome is characterized with orthostatic hypotension, impaired cardiac and cerebral perfusion, postural orthostatic tachycardia syndrome (POTS), syncope, chest pain, dyspnea, palpitation, chronic fatigue syndrome, 'brain fog', memory, cognitive and sleep difficulties, depression and anxiety. From a clinical point of view these symptoms may be considered as common symptoms representing not only a cardiac but also a neurological/psychiatric problem. Consequently assessment of these symptoms are of paramount importance. Due to their complexity, management of these patients requires multidisciplinary care.
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Zheng Y, Zhang H, Weng Z, He H, Chen W, Zheng M, Chen C, Zheng Y, Xie J, Zheng K, Zhang J, Xie B, Su Z, Zhuang X, Zhou Y, Yu X. Clinical characteristics and predictors of delayed discharge among children with SARS‑CoV‑2 Omicron variant infection. Biomed Rep 2024; 20:29. [PMID: 38259584 PMCID: PMC10801348 DOI: 10.3892/br.2023.1717] [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: 04/05/2023] [Accepted: 11/07/2023] [Indexed: 01/24/2024] Open
Abstract
The present study investigated the epidemiology and clinical characteristics of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant and determined the risk factors for delayed discharge or release from isolation for pediatric patients in Quanzhou, China in 2022. There were 145, 254 and 23 patients in the asymptomatic, mildly symptomatic and moderately symptomatic categories, respectively. The proportion of pediatric patients in the moderately symptomatic category increased with increasing age. No child aged <1 year and 9.02% of patients aged 13-18 years were in the moderately symptomatic category. The proportion of patients with asymptomatic infection did not differ significantly by vaccination status. The median days until the first negative conversion of viral RNA was 11 days, and the median hospitalization duration was 16 days. Most symptoms appeared in the upper respiratory tract. Notably, ~33.23% of patients showed elevated aspartate aminotransferase levels. C-reactive protein and interleukin-6 (IL-6) levels, and lymphocyte counts were consistently lower in asymptomatic patients than those in in symptomatic patients. Adjusted logistic regression analyses indicated that IL-6 levels and time to the first negative conversion of viral RNA were independent risk factors for delayed discharge. The area under the curve of the regression model for predicting delayed discharge was 0.760. In conclusion, these results could facilitate the formulation of global epidemic prevention policies for pediatric patients.
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Affiliation(s)
- Yijuan Zheng
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Huatang Zhang
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Zhangyan Weng
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Haoyi He
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Wenhuang Chen
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
- Department of Infectious Disease, Quanzhou Guangqian Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Minghui Zheng
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Chengdi Chen
- Department of Pediatrics, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Youxian Zheng
- Department of Clinical Laboratory, Quanzhou Center for Disease Control and Prevention, Quanzhou, Fujian 362000, P.R. China
| | - Jianfeng Xie
- Fujian Provincial Key Laboratory of Zoonosis Research, Fujian Center for Disease Control and Prevention, Fuzhou, Fujian 350001, P.R. China
| | - Kuicheng Zheng
- Fujian Provincial Key Laboratory of Zoonosis Research, Fujian Center for Disease Control and Prevention, Fuzhou, Fujian 350001, P.R. China
| | - Jiming Zhang
- Department of Infectious Disease, Huashan Hospital Fudan University, Shanghai 200040, P.R. China
| | - Baosong Xie
- Department of Respiratory and Critical Care Medicine, Fujian Shengli Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian 350000, P.R. China
| | - Zhijun Su
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Xibin Zhuang
- Department of Respiratory and Critical Care Medicine, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
| | - Yongjun Zhou
- Institute of Bioengineering and Biotechnology, College of Life Sciences and Chemistry, Minnan Science and Technology University, Quanzhou, Fujian 362000, P.R. China
| | - Xueping Yu
- Department of Infectious Disease, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian 362000, P.R. China
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Jin X, Yang H, Ma W, Yuan Y, Li T. Elevated High Sensitivity Cardiac Troponin T is Nonlinearly Associated with Poor Prognosis in Aging COVID-19 Patients: A Retrospective Study. Infect Drug Resist 2023; 16:5155-5163. [PMID: 37581166 PMCID: PMC10423578 DOI: 10.2147/idr.s422492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/03/2023] [Indexed: 08/16/2023] Open
Abstract
Objective To evaluate the relationship between high-sensitivity cardiac troponin T (hs-cTnT) and prognosis in elderly patients with coronavirus disease 2019 (COVID-19). Methods This study recruited 1399 COVID-19 patients aged 65 years or older admitted to Taizhou Hospital or Enze Hospital in Zhejiang Province from December 15, 2022, to January 4, 2023. The Cox regression model was used to evaluate the relationship between hs-cTnT level and in-hospital death. The logistic regression model was used to evaluate the relationship between hs-cTnT level and major adverse events. The restricted cubic spline (RCS) model is used for nonlinear analysis. Results The increase of peak hs-cTnT was associated with the increased risk of death (HR 9.49; 95% CI 1.19-75.48; trend p = 0.012) and major adverse events (OR 20.59; 95% CI 10.41-40.71; trend p < 0.001). RCS model showed the association between peak hs-cTnT and death and major adverse events were nonlinear (P for non-line < 0.001). Starting from the limit of quantification of hs-cTnT (3ng/L), the risk of death and major adverse events had a steep S-shaped increase until hs-cTnT reached the 90th percentile point (hs-cTnT = 131 ng/L), followed by a plateau period. Peak hs-cTnT has good predictive value for death and major adverse events, with AUC of 0.834 and 0.804, respectively. Conclusion Peak hs-cTnT has high predictive value for the risk of in-hospital death and major adverse events in elderly patients with COVID-19. The association between peak hs-cTnT and death and major adverse events were nonlinear.
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Affiliation(s)
- Xiaxia Jin
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, People’s Republic of China
| | - Haideng Yang
- Department of Gastroenterology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, People’s Republic of China
| | - Weiwei Ma
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, People’s Republic of China
| | - Yuan Yuan
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, People’s Republic of China
| | - Tao Li
- Department of Cardiovascular Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, People’s Republic of China
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Xu KZ, Xu P, li JJ, Zuo AF, Wang SB, Han F. Predictors and nomogram of in-hospital mortality in sepsis-induced myocardial injury: a retrospective cohort study. BMC Anesthesiol 2023; 23:230. [PMID: 37420185 PMCID: PMC10327384 DOI: 10.1186/s12871-023-02189-8] [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: 02/02/2023] [Accepted: 06/23/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND Sepsis-induced myocardial injury (SIMI) is a common organ dysfunction and is associated with higher mortality in patients with sepsis. We aim to construct a nomogram prediction model to assess the 28-day mortality in patients with SIMI. . METHOD We retrospectively extracted data from Medical Information Mart for Intensive Care (MIMIC-IV) open-source clinical database. SIMI was defined by Troponin T (higher than the 99th percentile of upper reference limit value) and patients with cardiovascular disease were excluded. A prediction model was constructed in the training cohort by backward stepwise Cox proportional hazards regression model. The concordance index (C-index), area under the receiver operating characteristics curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting and decision-curve analysis (DCA) were used to evaluate the nomogram. RESULTS 1312 patients with sepsis were included in this study and 1037 (79%) of them presented with SIMI. The multivariate Cox regression analysis in all septic patients revealed that SIMI was independently associated with 28-day mortality of septic patients. The risk factors of diabetes, Apache II score, mechanical ventilation, vasoactive support, Troponin T and creatinine were included in the model and a nomogram was constructed based on the model. The C-index, AUC, NRI, IDI, calibration plotting and DCA showed that the performance of the nomogram was better than the single SOFA score and Troponin T. CONCLUSION SIMI is related to the 28-day mortality of septic patients. The nomogram is a well-performed tool to predict accurately the 28-day mortality in patients with SIMI.
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Affiliation(s)
- Kai-Zhi Xu
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310000 China
| | - Ping Xu
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310000 China
| | - Juan-Juan li
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310000 China
| | - A-Fang Zuo
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310000 China
| | - Shu-Bao Wang
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310000 China
| | - Fang Han
- Emergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310000 China
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Yugar-Toledo JC, Yugar LBT, Sedenho-Prado LG, Schreiber R, Moreno H. Pathophysiological effects of SARS-CoV-2 infection on the cardiovascular system and its clinical manifestations-a mini review. Front Cardiovasc Med 2023; 10:1162837. [PMID: 37260945 PMCID: PMC10229057 DOI: 10.3389/fcvm.2023.1162837] [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: 02/10/2023] [Accepted: 04/18/2023] [Indexed: 06/02/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 may have a mild presentation, with few symptoms, or progress to a severe condition, characterized by generalized inflammation, systemic microvascular involvement, coagulopathy, and pulmonary and cardiovascular complications. Men present with more severe symptoms than women, especially men who are older and who present with comorbidities such as hypertension, diabetes mellitus, and a history of atherosclerotic diseases. Owing to its association with endothelial dysfunction, inflammation, thrombosis, and microvascular obstruction, SARS-CoV-2 infection can cause lesions in several organs, including the myocardium and the coronary arterial bed, which can result in clinical manifestations involving the cardiovascular system. In this mini review, we summarize the effects of SARS-CoV-2 infection on the cardiovascular system in both children and adults and characterize the various clinical manifestations associated with this disease.
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Affiliation(s)
| | | | | | - Roberto Schreiber
- Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Heitor Moreno
- Department of Internal Medicine, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
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Wang L, Western D, Timsina J, Repaci C, Song WM, Norton J, Kohlfeld P, Budde J, Climer S, Butt OH, Jacobson D, Garvin M, Templeton AR, Campagna S, O’Halloran J, Presti R, Goss CW, Mudd PA, Ances BM, Zhang B, Sung YJ, Cruchaga C. Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer's and coronary disease pathways. iScience 2023; 26:106408. [PMID: 36974157 PMCID: PMC10010831 DOI: 10.1016/j.isci.2023.106408] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/21/2023] [Accepted: 03/10/2023] [Indexed: 03/14/2023] Open
Abstract
Identification of proteins dysregulated by COVID-19 infection is critically important for better understanding of its pathophysiology, building prognostic models, and identifying new targets. Plasma proteomic profiling of 4,301 proteins was performed in two independent datasets and tested for the association for three COVID-19 outcomes (infection, ventilation, and death). We identified 1,449 proteins consistently associated in both datasets with any of these three outcomes. We subsequently created highly accurate models that distinctively predict infection, ventilation, and death. These proteins were enriched in specific biological processes including cytokine signaling, Alzheimer's disease, and coronary artery disease. Mendelian randomization and gene network analyses identified eight causal proteins and 141 highly connected hub proteins including 35 with known drug targets. Our findings provide distinctive prognostic biomarkers for two severe COVID-19 outcomes, reveal their relationship to Alzheimer's disease and coronary artery disease, and identify potential therapeutic targets for COVID-19 outcomes.
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Affiliation(s)
- Lihua Wang
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Daniel Western
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Charlie Repaci
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Won-Min Song
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Pat Kohlfeld
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Sharlee Climer
- Department of Computer Science, University of Missouri-St. Louis, St. Louis, MO, USA
| | - Omar H. Butt
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Michael Garvin
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Alan R. Templeton
- Department of Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Shawn Campagna
- Department of Chemistry, University of Tennessee, Knoxville, TN, USA
| | - Jane O’Halloran
- Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA
| | - Rachel Presti
- Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA
| | - Charles W. Goss
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Philip A. Mudd
- Department of Emergency Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Beau M. Ances
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
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12
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De Michieli L, Jaffe AS, Sandoval Y. Use and Prognostic Implications of Cardiac Troponin in COVID-19. Heart Fail Clin 2023; 19:163-176. [PMID: 36863808 PMCID: PMC9973555 DOI: 10.1016/j.hfc.2022.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Myocardial injury is common in patients with COVID-19 and is associated with an adverse prognosis. Cardiac troponin (cTn) is used to detect myocardial injury and assist with risk stratification in this population. SARS-CoV-2 infection can play a role in the pathogenesis of acute myocardial injury due to both direct and indirect damage to the cardiovascular system. Despite the initial concerns about an increased incidence of acute myocardial infarction (MI), most cTn increases are related to chronic myocardial injury due to comorbidities and/or acute nonischemic myocardial injury. This review will discuss the latest findings on this topic.
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Affiliation(s)
- Laura De Michieli
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA,Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, Padova 35128, Italy
| | - Allan S. Jaffe
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA,Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA
| | - Yader Sandoval
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA.
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13
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Candeloro M, Schulman S. Arterial Thrombotic Events in Hospitalized COVID-19 Patients: A Short Review and Meta-Analysis. Semin Thromb Hemost 2023; 49:47-54. [PMID: 35793687 DOI: 10.1055/s-0042-1749661] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
It is well established that the risk of venous thromboembolism is high in coronavirus disease 19 (COVID-19). The frequency of arterial thromboembolic events (ATEs) in hospitalized patients with COVID-19 is unclear, as is the magnitude of these events in comparison with other infections. We searched MEDLINE from February 2020 to February 2022 for prospective or retrospective cohort studies and randomized clinical trials that reported the number of acute myocardial infarction (AMI), acute ischemic stroke (AIS), acute limb ischemia (ALI), or other ATE as defined by the original authors in hospitalized patients with COVID-19. The pooled frequencies were calculated through meta-analysis using random effects model with logit transformation and presented with relative 95% prediction intervals (95% PI). We retrieved a total of 4,547 studies, 36 of which (28 retrospective cohorts, five prospective cohorts and three randomized trials) were finally included in our analysis. The resulting cohort counted 100,949 patients, 2,641 (2.6%) of whom experienced ATE. The pooled ATE frequency was 2.0% (95% PI, 0.4-9.6%). The pooled ATE frequency for AMI, AIS, ALI, and other ATE was 0.8% (95% PI, 0.1-8.1%), 0.9% (95% PI, 0.3-2.9%), 0.2% (95% PI, 0.0-4.2%), and 0.5% (95% PI, 0.1-3.0%), respectively. In comparison with the ATE incidence reported in three studies on non-COVID viral pneumonia, we did not detect a significant difference from the results in our analysis. In conclusion, we found a non-negligible proportion of ATE in patients hospitalized for COVID-19. Our results are similar to those found in hospitalized patients with influenza or with non-COVID viral pneumonia.
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Affiliation(s)
- Matteo Candeloro
- Department of Innovative Technologies in Medicine and Dentistry, "G. D'Annunzio" University, Chieti, Italy.,Department of Medicine, Thrombosis and Atherosclerosis Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Sam Schulman
- Department of Medicine, Thrombosis and Atherosclerosis Research Institute, McMaster University, Hamilton, Ontario, Canada.,Department of Obstetrics and Gynecology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
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14
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Wu Z, Yang C, Shen Y, Zhang Q, Tang X, Wang D, Xu Y, Cao G, Song X, Ma Y, Fan H, Lu H, Li Y, Li X, Shen Y, Zhang C, Zhu M, Teng X, Du Y, Guan M. Time series analysis revealed prognostic value of continuous nasopharyngeal SARS-CoV-2 nucleic acid quantification for COVID-19: A retrospective study of >3000 COVID-19 patients from 2 centers. Clin Chim Acta 2023; 540:117227. [PMID: 36640930 PMCID: PMC9832689 DOI: 10.1016/j.cca.2023.117227] [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: 12/12/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023]
Abstract
BACKGROUND Early stratification of disease progression remains one of the major challenges towards the post-coronavirus disease 2019 (COVID-19) era. The clinical relevance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid load is debated due to the heterogeneity in patients' underlying health conditions. We determined the prognostic value of nasopharyngeal viral load dynamic conversion for COVID-19. METHODS The cycling threshold (Ct) values of 28,937 nasopharyngeal SARS-CoV-2 RT-PCRs were retrospectively collected from 3,364 COVID-19 patients during hospitalization and coordinated to the onset of disease progression. The ROC curve was utilized to determine the predictive performance of the rate of Ct value alteration between two consecutive RT-PCR runs within 48 h (ΔCt%) for disease transformation across patients with different COVID-19 severity and immune backgrounds, and further validated with 1,860 SARS-CoV-2 RT-PCR results from an independent validation cohort of 262 patients. For the 67 patients with severe COVID-19, Kaplan-Meier analysis was performed to evaluate the difference in survival between patients stratified by the magnitude of Ct value alteration between the late and early stages of hospitalization. RESULTS The kinetics of viral nucleic acid conversion diversified across COVID-19 patients with different clinical characteristics and disease severities. The ΔCt% is a clinical characteristic- and host immune status-independent indicator for COVID-19 progression prediction (AUC = 0.79, 95 % CI = 0.76 to 0.81), which outperformed the canonical blood test markers, including c-reactive protein (AUC = 0.57, 95 % CI = 0.53 to 0.61), serum amyloid A (AUC = 0.61, 95 % CI = 0.54 to 0.68), lactate dehydrogenase (AUC = 0.61, 95 % CI = 0.56 to 0.67), d-dimer (AUC = 0.56, 95 % CI = 0.46 to 0.66), and lymphocyte count (AUC = 0.62, 95 % CI = 0.58 to 0.66). Patients with persistent high SARS-CoV-2 viral load (an increase of mean Ct value < 50 %) during the first 3 days of hospitalization demonstrated a significantly unfavorable survival (HR = 0.16, 95 % CI = 0.04 to 0.65, P = 2.41 × 10-3). CONCLUSIONS Viral nucleic acid dynamics of SARS-CoV-2 eliminates the inter-patient variance of basic health conditions and therefore, can serve as a prognostic marker for COVID-19.
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Affiliation(s)
- Zhiyuan Wu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Can Yang
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yutao Shen
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Qingyun Zhang
- Central Laboratory, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xuemei Tang
- Central Laboratory, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Di Wang
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yu Xu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Guojun Cao
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xiaodong Song
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yanchun Ma
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Huajie Fan
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Hailong Lu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yaju Li
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xiangyu Li
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yiqin Shen
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Chen Zhang
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Min Zhu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xiaoyan Teng
- Department of Laboratory Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Yuzhen Du
- Department of Laboratory Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
| | - Ming Guan
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China; Central Laboratory, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Huashen Institute of Microbes and Infections, Shanghai 200052, China.
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15
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Liu A, Hammond R, Chan K, Chukwuenweniwe C, Johnson R, Khair D, Duck E, Olubodun O, Barwick K, Banya W, Stirrup J, Donnelly PD, Kaski JC, Coates ARM. Normal high-sensitivity cardiac troponin for ruling-out inpatient mortality in acute COVID-19. PLoS One 2023; 18:e0284523. [PMID: 37083886 PMCID: PMC10121001 DOI: 10.1371/journal.pone.0284523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 03/10/2023] [Indexed: 04/22/2023] Open
Abstract
INTRODUCTION Assessment of inpatient mortality risk in COVID-19 patients is important for guiding clinical decision-making. High sensitivity cardiac troponin T (hs-cTnT) is a biomarker of cardiac injury associated with a worse prognosis in COVID-19. We explored how hs-cTnT could potentially be used in clinical practice for ruling in and ruling out mortality in COVID-19. METHOD We tested the diagnostic value of hs-cTnT in laboratory-confirmed COVID-19 patients (≥18 years old) admitted to the Royal Berkshire Hospital (UK) between 1st March and 10th May 2020. A normal hs-cTnT was defined as a value within the 99th percentile of healthy individuals (≤14 ng/L), and an elevated hs-cTnT was defined as >14 ng/L. Adverse clinical outcome was defined as inpatient mortality related to COVID-19. RESULTS A total of 191 COVID-19 patients (62% male; age 66±16 years) had hs-cTnT measured on admission. Of these patients, 124 (65%) had elevated hs-cTnT and 67 (35%) had normal hs-cTnT. On a group level, patients with elevated hs-cTnT had worse inpatient survival (p = 0.0014; Kaplan-Meier analysis) and higher risk of inpatient mortality (HR 5.84 [95% CI 1.29-26.4]; p = 0.02; Cox multivariate regression) compared to patients with normal hs-cTnT. On a per-patient level, a normal hs-cTnT had a negative predictive value of 94% (95% CI: 85-98%) for ruling out mortality, whilst an elevated hs-cTnT had a low positive predictive value of 38% (95% CI: 39-47%) for ruling in mortality. CONCLUSIONS In this study cohort of COVID-19 patients, the potential clinical utility of hs-cTnT appears to rest in ruling out inpatient mortality. This finding, if prospectively validated in a larger study, may allow hs-cTnT to become an important biomarker to facilitate admission-avoidance and early safe discharge.
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Affiliation(s)
- Alexander Liu
- University of St Andrews School of Medicine, St Andrews, United Kingdom
| | - Robert Hammond
- University of St Andrews School of Medicine, St Andrews, United Kingdom
| | - Kenneth Chan
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | | | - Rebecca Johnson
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | - Duaa Khair
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | - Eleanor Duck
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | | | | | | | - James Stirrup
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | - Peter D Donnelly
- University of St Andrews School of Medicine, St Andrews, United Kingdom
| | - Juan Carlos Kaski
- Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
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16
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Wang L, Western D, Timsina J, Repaci C, Song WM, Norton J, Kohlfeld P, Budde J, Climer S, Butt OH, Jacobson D, Garvin M, Templeton AR, Campagna S, O’Halloran J, Presti R, Goss CW, Mudd PA, Ances BM, Zhang B, Sung YJ, Cruchaga C. Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.07.25.22278025. [PMID: 35923315 PMCID: PMC9347279 DOI: 10.1101/2022.07.25.22278025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Identification of the plasma proteomic changes of Coronavirus disease 2019 (COVID-19) is essential to understanding the pathophysiology of the disease and developing predictive models and novel therapeutics. We performed plasma deep proteomic profiling from 332 COVID-19 patients and 150 controls and pursued replication in an independent cohort (297 cases and 76 controls) to find potential biomarkers and causal proteins for three COVID-19 outcomes (infection, ventilation, and death). We identified and replicated 1,449 proteins associated with any of the three outcomes (841 for infection, 833 for ventilation, and 253 for death) that can be query on a web portal ( https://covid.proteomics.wustl.edu/ ). Using those proteins and machine learning approached we created and validated specific prediction models for ventilation (AUC>0.91), death (AUC>0.95) and either outcome (AUC>0.80). These proteins were also enriched in specific biological processes, including immune and cytokine signaling (FDR ≤ 3.72×10 -14 ), Alzheimer's disease (FDR ≤ 5.46×10 -10 ) and coronary artery disease (FDR ≤ 4.64×10 -2 ). Mendelian randomization using pQTL as instrumental variants nominated BCAT2 and GOLM1 as a causal proteins for COVID-19. Causal gene network analyses identified 141 highly connected key proteins, of which 35 have known drug targets with FDA-approved compounds. Our findings provide distinctive prognostic biomarkers for two severe COVID-19 outcomes (ventilation and death), reveal their relationship to Alzheimer's disease and coronary artery disease, and identify potential therapeutic targets for COVID-19 outcomes.
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Affiliation(s)
- Lihua Wang
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Dan Western
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Charlie Repaci
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Won-Min Song
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Pat Kohlfeld
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
| | - Sharlee Climer
- Department of Computer Science, University of Missouri-St. Louis, St. Louis, MO, USA
| | - Omar H. Butt
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Michael Garvin
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Alan R Templeton
- Department of Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Shawn Campagna
- Department of Chemistry, University of Tennessee, Knoxville, TN, USA
| | - Jane O’Halloran
- Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA
| | - Rachel Presti
- Division of Infectious Diseases, Washington University School of Medicine, St Louis, MO, USA
| | - Charles W. Goss
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Philip A. Mudd
- Department of Emergency Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Beau M. Ances
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
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17
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Serial cardiac biomarkers for risk stratification of patients with COVID-19. Clin Biochem 2022; 107:24-32. [PMID: 35691587 PMCID: PMC9181199 DOI: 10.1016/j.clinbiochem.2022.06.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/04/2022] [Accepted: 06/07/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Several studies have demonstrated an association between elevated cardiac biomarkers and adverse outcomes in patients with COVID-19. However, the prognostic and predictive capability of a multimarker panel in a prospectively collected, diverse "all-comers" COVID-19 population has not been fully elucidated. DESIGN & METHODS We prospectively assessed high sensitivity cardiac troponin I (hsTnI), NT-pro B-type Natriuretic Peptide (NT-proBNP), Galectin-3 (Gal-3), and procalcitonin (PCT) in 4,282 serial samples from 358 patients admitted with symptomatic, RT-PCR confirmed SARS-CoV-2 infection. Outcomes examined were 30-day in-hospital mortality and requirement for intubation within 10 days. RESULTS Baseline hsTnI had the highest AUC for predicting 30-day mortality (0.81; 95% CI, 0.73-0.88), followed by NT-proBNP (0.80; 0.74-0.86), PCT (0.77; 0.70-0.84), and Gal-3 (0.68; 0.60-0.76). HsTnI < 3.5 ng/L at baseline identified patients at low risk for in-hospital mortality (NPV 95.9%, sensitivity 97.3%) and 10-day intubation (NPV 90.4%, sensitivity 88.5%). Continuous, log-2 increases in troponin concentration were associated with reduced survival (p < 0.001) on Kaplan-Meier curves and increased risk of 30-day mortality: HR 1.26 (1.16-1.37) in univariate and 1.19 (1.03-1.4) in multivariate models. Time-varying doubling of concentrations of hsTnI and Gal-3 were associated with increased risk of 30-day mortality (adjusted HR 1.21, 1.06-1.4, and 1.92, 1.40-2.6). CONCLUSION HsTnI, NT-proBNP, Gal-3, and PCT are elevated at baseline in patients that have worse outcomes from COVID-19. HsTnI was the only independent predictor of 30-day mortality and intubation. Time-varying, doubling in hsTnI and Gal-3 further aided in prognostication of adverse outcomes. These results support the use of hsTnI for triaging patients with COVID-19.
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18
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Ghelfi AM, Sánchez BA, Berbotto LA, Dipaolo FR, Bosque V, Vélez LL, Cordone MA, Pallero RN, Yiguerimian LM, Kilstein JG. Niveles Plasmáticos De Troponina T Y De La Fracción Aminoterminal Del Propéptido Natriurético Cerebral Y Su Relación Con Mortalidad En Covid-19. HIPERTENSION Y RIESGO VASCULAR 2022; 39:105-113. [PMID: 35597765 PMCID: PMC9046073 DOI: 10.1016/j.hipert.2022.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 11/03/2022]
Abstract
Introducción Material y métodos Resultados Conclusiones
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19
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Affiliation(s)
- Laura De Michieli
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA; Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Giustiniani 2, Padova 35128, Italy
| | - Allan S Jaffe
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA
| | - Yader Sandoval
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA.
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20
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Alali AH, Smaisem MS, Alsheikh AM, Alshareef AA, Smaisem FS, Alnahar BW, Hassouneh AK, Al-Tawfiq JA, Memish ZA. Myocardial injuries among patients with COVID-19: a systematic review. LE INFEZIONI IN MEDICINA 2022; 29:345-354. [PMID: 35146339 DOI: 10.53854/liim-2903-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/15/2021] [Indexed: 12/15/2022]
Abstract
This is a systematic review of the literature specifically aimed to explore myocardial injury in coronavirus disease-19 (COVID-19) patients who were hospitalized with severe complicated infections. The medical literature was examined through the large medical databases, including Medline, Ovid, PubMed, and Embase, over the last year between January 2020 and May 2021. The search terms used were a combination of "myocardial injury" AND "COVID-19" AND "Hospitalization". Then we applied a step to filter the results to select original research articles only evaluating the myocardial injuries in severe COVID-19 hospitalized patients. Selected trials mentioned the type of myocardial injury detected with the infection. A total of 245 articles were extracted. Considering the exclusion of ineligible articles, 42 articles appeared. A total of 42 articles were eligible and were included in the review. These studies included a total of 4326 COVID-19 patients. The 30-day mortality was found to be associated with increased cardiac troponin and myocardial infarction could be a systemic reaction rather than the direct action of COVID-19. Patients with myocardial injury were significantly older and with co-morbid conditions. Studies also found a correlation of higher concentrations of cardiac enzymes with disease severity and increased in-hospital mortality. Myocardial injury was a significant predictor for severe COVID-19 infection and in-hospital mortality. Cardiac enzymes should be monitored in hospitalized patients with severe COVID-19 infections.
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Affiliation(s)
- Alaa Hasan Alali
- Internal Medicine and Infectious Diseases, King Saud Medical City, Riyadh, Saudi Arabia
| | | | | | | | | | | | - Amal Khalil Hassouneh
- Infectious diseases Clinical Pharmacist, King Saud Medical City, Riyadh, Saudi Arabia
| | - Jaffar A Al-Tawfiq
- Specialty Internal Medicine and Quality Department, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.,Infectious Disease Division, Indiana University School of Medicine, Indiana, USA.,Infectious Disease Division, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ziad A Memish
- Research and Innovation Center, King Saud Medical City.,Faculty of Medicine, Alfaisal University, Riyadh, Saudi Arabia.,Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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21
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Patone M, Mei XW, Handunnetthi L, Dixon S, Zaccardi F, Shankar-Hari M, Watkinson P, Khunti K, Harnden A, Coupland CAC, Channon KM, Mills NL, Sheikh A, Hippisley-Cox J. Risks of myocarditis, pericarditis, and cardiac arrhythmias associated with COVID-19 vaccination or SARS-CoV-2 infection. Nat Med 2022; 28:410-422. [PMID: 34907393 PMCID: PMC8863574 DOI: 10.1038/s41591-021-01630-0] [Citation(s) in RCA: 342] [Impact Index Per Article: 171.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/15/2021] [Indexed: 12/12/2022]
Abstract
Although myocarditis and pericarditis were not observed as adverse events in coronavirus disease 2019 (COVID-19) vaccine trials, there have been numerous reports of suspected cases following vaccination in the general population. We undertook a self-controlled case series study of people aged 16 or older vaccinated for COVID-19 in England between 1 December 2020 and 24 August 2021 to investigate hospital admission or death from myocarditis, pericarditis and cardiac arrhythmias in the 1-28 days following adenovirus (ChAdOx1, n = 20,615,911) or messenger RNA-based (BNT162b2, n = 16,993,389; mRNA-1273, n = 1,006,191) vaccines or a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive test (n = 3,028,867). We found increased risks of myocarditis associated with the first dose of ChAdOx1 and BNT162b2 vaccines and the first and second doses of the mRNA-1273 vaccine over the 1-28 days postvaccination period, and after a SARS-CoV-2 positive test. We estimated an extra two (95% confidence interval (CI) 0, 3), one (95% CI 0, 2) and six (95% CI 2, 8) myocarditis events per 1 million people vaccinated with ChAdOx1, BNT162b2 and mRNA-1273, respectively, in the 28 days following a first dose and an extra ten (95% CI 7, 11) myocarditis events per 1 million vaccinated in the 28 days after a second dose of mRNA-1273. This compares with an extra 40 (95% CI 38, 41) myocarditis events per 1 million patients in the 28 days following a SARS-CoV-2 positive test. We also observed increased risks of pericarditis and cardiac arrhythmias following a positive SARS-CoV-2 test. Similar associations were not observed with any of the COVID-19 vaccines, apart from an increased risk of arrhythmia following a second dose of mRNA-1273. Subgroup analyses by age showed the increased risk of myocarditis associated with the two mRNA vaccines was present only in those younger than 40.
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Affiliation(s)
- Martina Patone
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
| | - Xue W Mei
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
| | | | - Sharon Dixon
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Manu Shankar-Hari
- Usher Institute, University of Edinburgh, Edinburgh, UK
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
- School of Immunology and Microbial Sciences, King's College London, London, UK
| | - Peter Watkinson
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Anthony Harnden
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
| | - Carol A C Coupland
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
- Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Keith M Channon
- British Heart Foundation Centre of Research Excellence, NIHR Oxford Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Nicholas L Mills
- Usher Institute, University of Edinburgh, Edinburgh, UK
- BHF/University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK.
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22
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OUP accepted manuscript. Clin Chem 2022; 68:884-886. [DOI: 10.1093/clinchem/hvac072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 04/18/2022] [Indexed: 11/15/2022]
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23
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Changal K, Veria S, Mack S, Paternite D, Sheikh SA, Patel M, Mir T, Sheikh M, Ramanathan PK. Myocardial injury in hospitalized COVID-19 patients: a retrospective study, systematic review, and meta-analysis. BMC Cardiovasc Disord 2021; 21:626. [PMID: 34972516 PMCID: PMC8719604 DOI: 10.1186/s12872-021-02450-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 12/28/2021] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION The majority of studies evaluating the effect of myocardial injury on the survival of COVID-19 patients have been performed outside of the United States (U.S.). These studies have often utilized definitions of myocardial injury that are not guideline-based and thus, not applicable to the U.S. PATIENT POPULATION METHODS The current study is a two-part investigation of the effect of myocardial injury on the clinical outcome of patients hospitalized with COVID-19. The first part is a retrospective analysis of 268 patients admitted to our healthcare system in Toledo, Ohio, U.S.; the second part is a systematic review and meta-analysis of all similar studies performed within the U.S. RESULTS In our retrospective analysis, patients with myocardial injury were older (mean age 73 vs. 59 years, P 0.001), more likely to have hypertension (86% vs. 67%, P 0.005), underlying cardiovascular disease (57% vs. 24%, P 0.001), and chronic kidney disease (26% vs. 10%, P 0.004). Myocardial injury was also associated with a lower likelihood of discharge to home (35% vs. 69%, P 0.001), and a higher likelihood of death (33% vs. 10%, P 0.001), acute kidney injury (74% vs. 30%, P 0.001), and circulatory shock (33% vs. 12%, P 0.001). Our meta-analysis included 12,577 patients from 8 U.S. states and 55 hospitals who were hospitalized with COVID-19, with the finding that myocardial injury was significantly associated with increased mortality (HR 2.43, CI 2.28-3.6, P 0.0005). The prevalence of myocardial injury ranged from 9.2 to 51%, with a mean prevalence of 27.2%. CONCLUSION Hospitalized COVID-19 patients in the U.S. have a high prevalence of myocardial injury, which was associated with poorer survival and outcomes.
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Affiliation(s)
- Khalid Changal
- Cardiovascular Medicine, University of Toledo, Toledo, OH, USA
| | - Spiro Veria
- Department of Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Sean Mack
- Department of Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - David Paternite
- Department of Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Shoaib Altaf Sheikh
- Internal Medicine, Nazareth Hospital (Trinity Health), Philadelphia, PA, USA
| | - Mitra Patel
- Department of Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
| | - Tanveer Mir
- Internal Medicine, Detroit Medical Center, Wayne State University, Detroit, MI, USA
| | - Mujeeb Sheikh
- Department of Cardiovascular Medicine, Interventional Cardiology, Promedica Toledo Hospital, 2109 Hughes Dr, Jobst Tower 3rd Floor, Toledo, OH, 43606, USA.
| | - P Kasi Ramanathan
- Department of Cardiovascular Medicine, Interventional Cardiology, Promedica Toledo Hospital, 2109 Hughes Dr, Jobst Tower 3rd Floor, Toledo, OH, 43606, USA
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24
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Acherjee T, Behara A, Saad M, Vittorio TJ. Mechanisms and management of prothrombotic state in COVID-19 disease. Ther Adv Cardiovasc Dis 2021; 15:17539447211053470. [PMID: 34693818 PMCID: PMC8785300 DOI: 10.1177/17539447211053470] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The novel severe acute respiratory syndrome viral disease outbreak due to SARS-CoV-2 is a rapidly evolving disease and represents one of the greatest medical challenges in recent times. It is believed that SARS-CoV-2 has migrated from bats to an intermediate host and then to humans. This article aims at the mechanism and management of prothrombotic state in COVID-19 positive patients. We tried to present how the SARS-CoV-2 virus can induce thromboembolic events and the incidence of these thromboembolic events. We also tried to depict anticoagulation management in these patients as well as postdischarge plan and follow-up. Invasion of type 2 pneumocytes by the SARS-CoV-2 virus is critical in the course of illness because it results in activation of immune cells leading to elevation of cytokines. The subsequent activation of T cells and macrophages infiltrates the infected myocardial cells causing direct myocardiocyte toxicity and development of arrhythmia. Hypoxia or hypotension during the clinical course causes a mismatch between myocyte oxygen supply and workload demand resulting in cardiac distress. SARS-CoV-2 affects endothelial cells and pericytes that lead to severe micro and macrovascular dysfunction, and together with oxygen supply-demand mismatch, immune hyperresponsivity can potentially cause destabilization and plaque rupture causing acute coronary syndromes. Other mechanisms of injury include myocarditis, pericarditis, stress cardiomyopathy, vasculitis, and DIC (Disseminated intravascular coagulation)/microthrombi. SARS-CoV-2 enters the cells by the Spike protein S whose surface unit, S1, binds to the ACE2 receptor on the host cell. The type II transmembrane serine proteases TMPRSS2 and histone acetyltransferases (HAT) are host cell proteases that are recruited by the virus to cleave ACE2 surface protein S which facilitates the viral entry. Therefore, TMPRSS2 and HAT could be targeted for potential drugs against SARS-CoV-2. SARS-CoV-2 uses an RNA-dependent RNA polymerase for proliferation, which is targeted by remdesivir that is currently approved for emergency use by Food and Drug Administration (FDA). We need to adopt a multifaceted approach when combating SARS-CoV-2 because it presents several challenges including medical, psychological, socioeconomic, and ethical. COVID-19 is the biggest calamity during the 21st century, we need to have a keen understanding of its pathophysiology and clinical implications for the development of preventive measures and therapeutic modalities.
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Affiliation(s)
- Trishna Acherjee
- Internal Medicine, BronxCare Health System, Bronx, NY-10457, USA
| | - Aparna Behara
- Internal Medicine, BronxCare Health System, Bronx, NY, USA
| | - Muhammad Saad
- Internal Medicine, BronxCare Health System, Bronx, NY, USA
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25
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Gavriilaki E, Eftychidis I, Papassotiriou I. Update on endothelial dysfunction in COVID-19: severe disease, long COVID-19 and pediatric characteristics. J LAB MED 2021. [DOI: 10.1515/labmed-2021-0134] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Abstract
Objectives
To review current literature on the role of endothelial dysfunction in coronavirus disease-2019 (COVID-19) infection in terms of pathophysiology, laboratory features and markers, clinical phenotype in adults and children, as well as long COVID-19.
Content
We conducted a thorough assessment of the literature and critically analyzed current data, mostly utilizing the PubMed and Medline search engines to find original studies published in the previous decade.
Summary and Outlook
Accumulating evidence suggests that endothelial dysfunction may be a common denominator of severe COVID-19 in adults and children, as well as long COVID-19, implicating mutual pathophysiological pathways. This narrative review summarizes the up-to-date knowledge of endothelial dysfunction caused by COVID-19, including novel aspects of long COVID-19 and pediatric disease. This knowledge is important in order not only to understand the multisystemic attack of COVID-19, but also to improve patient management and prognosis.
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Affiliation(s)
- Eleni Gavriilaki
- Hematology Department – BMT Unit , G. Papanikolaou Hospital , Thessaloniki , Greece
| | - Ioannis Eftychidis
- Hematology Department – BMT Unit , G. Papanikolaou Hospital , Thessaloniki , Greece
| | - Ioannis Papassotiriou
- Department of Clinical Biochemistry , “Aghia Sophia” Children’s Hospital , Athens , Greece
- IFCC Emerging Technologies Division , Emerging Technologies in Pediatric Laboratory Medicine (C-ETPLM) , Milan , Italy
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26
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Bularga A, Chapman AR, Mills NL. Mechanisms of Myocardial Injury in COVID-19. Clin Chem 2021; 67:1044-1046. [PMID: 34117871 PMCID: PMC8341006 DOI: 10.1093/clinchem/hvab111] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 06/03/2021] [Indexed: 12/15/2022]
Affiliation(s)
- Anda Bularga
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Andrew R Chapman
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Usher Institute of Population Health Sciences and Informatics University of Edinburgh, Edinburgh, UK
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27
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Stojanović D, Ćetojević Ž, Dujaković B, Stanetić M, Kovačević-Preradović T, Stanetić B. High-sensitive troponin-T as a predictive outcome factor in COVID-19 hospitalised patients: Analysis after one-year follow-up. SCRIPTA MEDICA 2021. [DOI: 10.5937/scriptamed52-31743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Introduction: Since December 2019, the humanity is constantly under affection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite global dissemination, neither the treatment or the specific predictive factors have been found or strictly defined yet. Aim: Aim of this study was to assess the long-term (1 year) predictive value of high-sensitive Troponin T (hsTnT) in COVID-19 affected, hospitalised patients. Methods: Between 5 March 2020 and 31 March 2020, 87 consecutive patients hospitalised at University Clinical Centre of the Republic of Srpska due to SARS-CoV2caused pneumonia, in whom hsTnT was measured, were included. The Kaplan-Meier analysis was used to assess differences in all-cause mortality between the groups. Independent predictors of all-cause mortality were identified through univariateand multivariate Cox regression analysis. Results: Compared with patients who had normal hsTnT levels, patients with raised hsTnT were significantly older (70.7 ± 13.23 vs 49 ± 15.29; p < 0.001). Glucose values were significantly increased in patients with raised hsTnT (9.29 ± 5.14 vs 6.76 ± 2.46 [4.1-5.9] mmol/L; p = 0.005), as well as serum creatinine (179.07 ± 225.58 vs 87.53 ± 18.16 µmol/L; p = 0.01), hsTnT (187.43 ± 387.29 vs 7.58 ± 3.40 pg/mL; p = 0.003), D-dimer (5.94 ± 13.78 vs 1.04 ± 1.26 [0-0.50] mg/L; p = 0.024), C-reactive protein (125.92 ± 116.82 vs 69.97 ± 73.09) [< 5.0] mg/L; p = 0.009) and calcium (1.32 ± 0.46 vs 1.03 ± 0.173 [2.20-2.65] mmol/L; p = 0.001). Kaplan-Meier analysis revealed that the number of all-cause deaths at 1 year was 19 of whom 18 were presented with elevated hsTnT (log-rank p < 0.001). When univariate Cox regression was applied, multiple predictors of all-cause mortality have been identified ie age, haemoglobin, haematocrit, urea, CK-MB as well as hsTnT. In a multiple regression model, hsTnT remained an independent predictor of poor outcome. Conclusion: Results from this study showed that the value of hsTnT during hospitalisation is possibly associated with long-term poor outcome of COVID-19 patients. Therefore, hsTnT may appear as a surrogate factor to differentiate between patients at high risk who need more intensive follow-ups.
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