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High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza. J Pers Med 2022; 12:jpm12040520. [PMID: 35455636 PMCID: PMC9031799 DOI: 10.3390/jpm12040520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/17/2022] [Accepted: 03/20/2022] [Indexed: 11/23/2022] Open
Abstract
The purpose of the study was to analyze the relationship between the high-sensitivity troponin T levels in patients with confirmed influenza virus infection and its severity determined by mortality during the care process. In addition, a high-sensitivity troponin T cut-off value was sought to allow us to a safe discharge from the emergency department. An analytical retrospective observational study was designed in which high-sensitivity troponin T is determined as an exposure factor, patients are followed until the resolution of the clinical picture, and the frequency of mortality is analyzed. We included patients ≥ 16 years old with confirmed influenza virus infection and determination of high-sensitivity troponin T. One hundred twenty-eight patients were included (96.9% survivors, 3.1% deceased). Mean and median blood levels of high-sensitivity troponin T of survivors were 26.2 ± 58.3 ng/L and 14.5 ng/L (IQR 16 ng/L), respectively, and were statistically different when compared with those of the deceased patients, 120.5 ± 170.1 ng/L and 40.5 ng/L (IQR 266.5 ng/L), respectively, p = 0.012. The Youden index using mortality as the reference method was 0.76, and the cut-off value associated with this index was 24 ng/L (sensitivity 100%, specificity 76%, NPV 100%, PPV 4%) with AUC of 88,8% (95% CI: 79.8−92.2%), p < 0.001. We conclude that high-sensitivity troponin T levels in confirmed virus influenza infection are a good predictor of mortality in our population, and this predictor is useful for safely discharging patients from the emergency department.
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Liu J, Yang Q, Zhang X, Lin Q, Yang Y, Guo D, Mao W, Tu J, Liu Z, Li J, Ning X, Wang J. A Sharp Decline in Burden of Stroke in Rural China During COVID-19 Pandemic. Front Neurol 2021; 11:596871. [PMID: 33569033 PMCID: PMC7868406 DOI: 10.3389/fneur.2020.596871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 12/28/2020] [Indexed: 01/26/2023] Open
Abstract
This study aimed to explore trends in the burden from stroke associated with home quarantine during the COVID-19 pandemic. Patients with a first-ever stroke registered between January 1 and April 20 from 2010 to 2020 were included in this study. We compared the incidence and the rates of mortality, hospitalization, and diagnosis by neuroimaging for first-ever stroke among a low-income population in rural China during the study periods. Overall, 377 first-ever stroke patients were analyzed in this study period; men accounted for 59.2%. Compared with 2019, the incidence of first-ever stroke was 73.5% lower in 2020 (P < 0.001). The incidence of first-ever stroke was lower by 64.18% in 2020 than in the previous 5 years (P = 0.002) and by 65.42% in 2020 than in the previous 10 years (P = 0.001). Mortality from first-ever stroke in 2020 was not significantly different from that in 2019, but it was noticeably lower than that for the previous 5 and 10 years. However, rates of hospitalization and diagnosis by neuroimaging remained stable across the study period. These findings suggest that the home quarantine helped reduce outdoor activities at low temperatures, restrict gatherings, reduce alcoholism and high-fat diet, and lower pollution caused by factories. These changes were advantageous for helping high-risk groups to reduce the burden of stroke.
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Affiliation(s)
- Jie Liu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education and Tianjin City, Tianjin, China
| | - Qiaoxia Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin Zhang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiuxing Lin
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education and Tianjin City, Tianjin, China
| | - Yuan Yang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Dandan Guo
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenjing Mao
- Department of Neurology, North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | - Jun Tu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education and Tianjin City, Tianjin, China
| | - Zeping Liu
- Department of Internal Medicine, Tianjin Jizhou People's Hospital, Tianjin, China
| | - Jidong Li
- Department of Neurosurgery, Tianjin Jizhou People's Hospital, Tianjin, China
| | - Xianjia Ning
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education and Tianjin City, Tianjin, China
| | - Jinghua Wang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-neuroinjury Neuro-repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Ministry of Education and Tianjin City, Tianjin, China
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Chughtai AA, Tan TC, Hitchen EM, Kunasekaran M, MacIntyre CR. Association of influenza infection and vaccination with cardiac biomarkers and left ventricular ejection fraction in patients with acute myocardial infarction. IJC HEART & VASCULATURE 2020; 31:100648. [PMID: 33088900 PMCID: PMC7567940 DOI: 10.1016/j.ijcha.2020.100648] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 09/10/2020] [Accepted: 09/20/2020] [Indexed: 11/24/2022]
Abstract
We examined the association of influenza infection and vaccination with cardiac biomarkers and LVEF . Mean and median CK-MB levels were significantly higher among unvaccinated cases . Large size infarcts were more frequent in influenza positive cases and less frequent in vaccinated cases. Influenza vaccine may have a protective effect against large infarcts .
Aims The aim of this study was to examine the association of influenza infection and vaccination with extent of cardiac damage during acute myocardial infarctions (AMIs) as measured by serum biomarkers and left ventricular ejection function (LVEF) in patients. Methods Post-hoc analysis was performed on data from a prospective case-control study of influenza and AMI, conducted in a tertiary care hospital in Sydney, Australia. We included 275 cases of AMI, aged ≥ 40 years admitted to the cardiology during the study period. Results Mean and median CK-MB levels were significantly higher among unvaccinated group compared to vaccinated group (p value < 0.05). Troponin levels were also higher among unvaccinated group compared to vaccinated group; although not statistically significant. Troponin and CKMB values were not statistically different among influenza positive cases and influenza negative cases. Large size infarcts were less frequent among vaccinated cases compared to unvaccinated cases (25% vs 35.5%) and were more frequent among influenza positive cases compared to influenza negative cases (35.3% vs 31.5%), however differences were not statistically significant. LVEF was lower among vaccinated cases compared to unvaccinated cases (62.5% vs. 52.8%) and influenza positive cases compared to influenza negative cases (58.8% vs 55.4), however differences were not significant. Conclusion Lower CKMB levels among vaccinated groups showed that influenza vaccine may have a protective effect against large infarcts, therefore influenza vaccination should be recommended for high risk groups. The study suggests an association of larger infarcts with influenza infection, but larger studies are required to confirm this.
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Affiliation(s)
- Abrar Ahmad Chughtai
- School of Public Health and Community Medicine, UNSW Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Timothy C Tan
- School of Medical Sciences, UNSW Medicine, The University of New South Wales, Sydney, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Department of Medicine, Westmead Hospital, Australia
| | - Eleanor M Hitchen
- Sydney Medical School, The University of Sydney, Department of Medicine, Westmead Hospital, Australia
| | - Mohana Kunasekaran
- Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Chandini Raina MacIntyre
- Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, NSW, 2052, Australia.,College of Public Service & Community Solutions, Arizona State University, Phoenix, AZ, USA
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