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Wang Y, Liang Z, Qing S, Xi Y, Xu C, Lin F. Asymmetric impact of climatic parameters on hemorrhagic fever with renal syndrome in Shandong using a nonlinear autoregressive distributed lag model. Sci Rep 2024; 14:9739. [PMID: 38679612 PMCID: PMC11056385 DOI: 10.1038/s41598-024-58023-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/25/2024] [Indexed: 05/01/2024] Open
Abstract
Hemorrhagic fever with renal syndrome (HFRS) poses a major threat in Shandong. This study aimed to investigate the long- and short-term asymmetric effects of meteorological factors on HFRS and establish an early forecasting system using autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL) models. Between 2004 and 2019, HFRS exhibited a declining trend (average annual percentage change = - 9.568%, 95% CI - 16.165 to - 2.451%) with a bimodal seasonality. A long-term asymmetric influence of aggregate precipitation (AP) (Wald long-run asymmetry [WLR] = - 2.697, P = 0.008) and aggregate sunshine hours (ASH) (WLR = 2.561, P = 0.011) on HFRS was observed. Additionally, a short-term asymmetric impact of AP (Wald short-run symmetry [WSR] = - 2.419, P = 0.017), ASH (WSR = 2.075, P = 0.04), mean wind velocity (MWV) (WSR = - 4.594, P < 0.001), and mean relative humidity (MRH) (WSR = - 2.515, P = 0.013) on HFRS was identified. Also, HFRS demonstrated notable variations in response to positive and negative changes in ∆MRH(-), ∆AP(+), ∆MWV(+), and ∆ASH(-) at 0-2 month delays over the short term. In terms of forecasting, the NARDL model demonstrated lower error rates compared to ARDL. Meteorological parameters have substantial long- and short-term asymmetric and/or symmetric impacts on HFRS. Merging NARDL model with meteorological factors can enhance early warning systems and support proactive measures to mitigate the disease's impact.
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Affiliation(s)
- Yongbin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, No. 601 Jinsui Road, Hongqi District, Xinxiang, Henan Province, 453003, People's Republic of China.
| | - Ziyue Liang
- Department of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, No. 601 Jinsui Road, Hongqi District, Xinxiang, Henan Province, 453003, People's Republic of China
| | - Siyu Qing
- Department of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, No. 601 Jinsui Road, Hongqi District, Xinxiang, Henan Province, 453003, People's Republic of China
| | - Yue Xi
- Department of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, No. 601 Jinsui Road, Hongqi District, Xinxiang, Henan Province, 453003, People's Republic of China
| | - Chunjie Xu
- Beijing Key Laboratory of Antimicrobial Agents/Laboratory of Pharmacology, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
| | - Fei Lin
- Department of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, No. 601 Jinsui Road, Hongqi District, Xinxiang, Henan Province, 453003, People's Republic of China.
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Lu W, Kuang L, Hu Y, Shi J, Li Q, Tian W. Epidemiological and clinical characteristics of death from hemorrhagic fever with renal syndrome: a meta-analysis. Front Microbiol 2024; 15:1329683. [PMID: 38638893 PMCID: PMC11024303 DOI: 10.3389/fmicb.2024.1329683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/21/2024] [Indexed: 04/20/2024] Open
Abstract
Introduction Hemorrhagic fever with renal syndrome (HFRS) is an acute infectious disease comprising five stages: fever, hypotension, oliguria, diuresis (polyuria), and convalescence. Increased vascular permeability, coagulopathy, and renal injury are typical clinical features of HFRS, which has a case fatality rate of 1-15%. Despite this, a comprehensive meta-analyses of the clinical characteristics of patients who died from HFRS is lacking. Methods Eleven Chinese- and English-language research databases were searched, including the China National Knowledge Infrastructure Database, Wanfang Database, SinoMed, VIP Database, PubMed, Embase, Scopus, Cochrane Library, Web of Science, Proquest, and Ovid, up to October 5, 2023. The search focused on clinical features of patients who died from HFRS. The extracted data were analyzed using STATA 14.0. Results A total of 37 articles on 140,295 patients with laboratory-confirmed HFRS were included. Categorizing patients into those who died and those who survived, it was found that patients who died were older and more likely to smoke, have hypertension, and have diabetes. Significant differences were also observed in the clinical manifestations of multiple organ dysfunction syndrome, shock, occurrence of overlapping disease courses, cerebral edema, cerebral hemorrhage, toxic encephalopathy, convulsions, arrhythmias, heart failure, dyspnea, acute respiratory distress syndrome, pulmonary infection, liver damage, gastrointestinal bleeding, acute kidney injury, and urine protein levels. Compared to patients who survived, those who died were more likely to demonstrate elevated leukocyte count; decreased platelet count; increased lactate dehydrogenase, alanine aminotransferase, and aspartate aminotransferase levels; prolonged activated partial thromboplastin time and prothrombin time; and low albumin and chloride levels and were more likely to use continuous renal therapy. Interestingly, patients who died received less dialysis and had shorter average length of hospital stay than those who survived. Conclusion Older patients and those with histories of smoking, hypertension, diabetes, central nervous system damage, heart damage, liver damage, kidney damage, or multiorgan dysfunction were at a high risk of death. The results can be used to assess patients' clinical presentations and assist with prognostication.Systematic review registration:https://www.crd.york.ac.uk/prospero/, (CRD42023454553).
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Affiliation(s)
- Wei Lu
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Lin Kuang
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Yuxing Hu
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Jialing Shi
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Qi Li
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Wen Tian
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Wang Z, Yang C, Li B, Wu H, Xu Z, Feng Z. Comparison of simulation and predictive efficacy for hemorrhagic fever with renal syndrome incidence in mainland China based on five time series models. Front Public Health 2024; 12:1365942. [PMID: 38496387 PMCID: PMC10941340 DOI: 10.3389/fpubh.2024.1365942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/20/2024] [Indexed: 03/19/2024] Open
Abstract
Background Hemorrhagic fever with renal syndrome (HFRS) is a zoonotic infectious disease commonly found in Asia and Europe, characterized by fever, hemorrhage, shock, and renal failure. China is the most severely affected region, necessitating an analysis of the temporal incidence patterns in the country. Methods We employed Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), Nonlinear AutoRegressive with eXogenous inputs (NARX), and a hybrid CNN-LSTM model to model and forecast time series data spanning from January 2009 to November 2023 in the mainland China. By comparing the simulated performance of these models on training and testing sets, we determined the most suitable model. Results Overall, the CNN-LSTM model demonstrated optimal fitting performance (with Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Mean Absolute Error (MAE) of 93.77/270.66, 7.59%/38.96%, and 64.37/189.73 for the training and testing sets, respectively, lower than those of individual CNN or LSTM models). Conclusion The hybrid CNN-LSTM model seamlessly integrates CNN's data feature extraction and LSTM's recurrent prediction capabilities, rendering it theoretically applicable for simulating diverse distributed time series data. We recommend that the CNN-LSTM model be considered as a valuable time series analysis tool for disease prediction by policy-makers.
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Affiliation(s)
- ZhenDe Wang
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - ChunXiao Yang
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - Bing Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - HongTao Wu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Xu
- Chinese Center for Disease Control and Prevention, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - ZiJian Feng
- Chinese Preventive Medicine Association, Beijing, China
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Shartova N, Korennoy F, Zelikhina S, Mironova V, Wang L, Malkhazova S. Spatial and temporal patterns of haemorrhagic fever with renal syndrome (HFRS) and the impact of environmental drivers in a border area of the Russian Far East. Zoonoses Public Health 2024. [PMID: 38396153 DOI: 10.1111/zph.13118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 02/08/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
AIMS Haemorrhagic fever with renal syndrome (HFRS) is a significant zoonotic disease transmitted by rodents. The distribution of HFRS in the European part of Russia has been studied quite well; however, much less is known about the endemic area in the Russian Far East. The mutual influence of the epidemic situation in the border regions and the possibility of cross-border transmission of infection remain poorly understood. This study aims to identify the spatiotemporal hot spots of the incidence and the impact of environmental drivers on the HFRS distribution in the Russian Far East. METHODS AND RESULTS A two-scale study design was performed. Kulldorf's spatial scan statistic was used to conduct spatiotemporal analysis at a regional scale from 2000 to 2020. In addition, an ecological niche model based on maximum entropy was applied to analyse the contribution of various factors and identify spatial favourability at the local scale. One spatiotemporal cluster that existed from 2002 to 2011 and located in the border area and one pure temporal cluster from 2004 to 2007 were revealed. The best suitability for orthohantavirus persistence was found along rivers, including those at the Chinese-Russian border, and was mainly explained by land cover, NDVI (as an indicator of vegetation density and greenness) and elevation. CONCLUSIONS Despite the stable incidence in recent years in, targeted prevention strategies are still needed due to the high potential for HRFS distribution in the southeast of the Russian Far East.
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Affiliation(s)
- Natalia Shartova
- International Laboratory of Landscape Ecology, Higher School of Economics, Moscow, Russia
| | - Fedor Korennoy
- FGBI Federal Center for Animal Health (FGBI ARRIAH), mkr. Yurevets, Vladimir, Russia
| | | | - Varvara Mironova
- Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia
| | - Li Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
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Ye P, Zhao L, Pang R, Zheng X. A retrospective study of variations in the kinds of diseases discharged from the Department of Infectious Diseases of a large general hospital in Central China during 2013-2019. Front Public Health 2024; 12:1289972. [PMID: 38420029 PMCID: PMC10899503 DOI: 10.3389/fpubh.2024.1289972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Objective To analyze the changing trend of the absolute number and constituent ratio of various in-patient diseases in the Department of Infectious Diseases of a large general hospital in Central China during 2013-2019. Methods A retrospective study was conducted to analyze the diagnostic data of discharged patients for seven consecutive years, from 2013 to 2019. The first discharge diagnosis is used as the basis for the disease classification. The absolute number, constituent ratio, and changing trend of major diseases in hepatobiliary diseases and infectious diseases were analyzed. Results The changing trend of the diseases during 2013-2019 showed that the absolute number of cases of hepatobiliary disease did not change significantly (p = 0.615), while the constituent ratio decreased significantly, from 68.01% in 2013 to 55.29% in 2019 (p<0.001). The absolute number (constituent ratio) of cases of infectious diseases increased significantly from 585 (21.91%) in 2013 to 1,244 (36.86%) in 2019 (p = 0.015, p<0.001). The major part of the increase was non-communicable infectious diseases (NCIDs). Conclusion During 2013-2019, the proportion of cases of hepatobiliary disease gradually decreased. The absolute number and proportion of cases of infectious diseases, especially NCIDs, have increased rapidly.
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Affiliation(s)
| | | | | | - Xin Zheng
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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Demirev AV, Lee S, Park S, Kim H, Cho S, Lee K, Kim K, Song JW, Park MS, Kim JI. Exploring the Genetic Diversity and Molecular Evolution of Seoul and Hantaan Orthohantaviruses. Viruses 2024; 16:105. [PMID: 38257805 PMCID: PMC10818986 DOI: 10.3390/v16010105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 12/30/2023] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Seoul (SEOV) and Hantaan (HTNV) orthohantaviruses are significant zoonotic pathogens responsible for hemorrhagic fever with renal syndrome. Here, we investigated the molecular evolution of SEOV and HTNV through phylogenetic and bioinformatic analyses using complete genome sequences of their large (L), medium (M), and small (S) gene segments. Despite similar epizootic cycles and clinical symptoms, SEOV and HTNV exhibited distinct genetic and evolutionary dynamics. The phylogenetic trees of each segment consistently showed major genetic clades associated with the geographical distribution of both viruses. Remarkably, SEOV M and S segments exhibit higher evolutionary rates, rapidly increasing genetic diversity, and a more recent origin in contrast to HTNV. Reassortment events were infrequent, but both viruses appear to utilize the M gene segment in genetic exchanges. SEOV favors the L or M segment reassortment, while HTNV prefers the M or S segment exchange. Purifying selection dominates in all three gene segments of both viruses, yet SEOV experiences an elevated positive selection in its glycoprotein Gc ectodomain. Key amino acid differences, including a positive 'lysine fence' (through residues K77, K82, K231, K307, and K310) located at the tip of the Gn, alongside the physical stability around an RGD-like motif through M108-F334 interaction, may contribute to the unique antigenic properties of SEOV. With the increasing global dispersion and potential implications of SEOV for the global public health landscape, this study highlights the unique evolutionary dynamics and antigenic properties of SEOV and HTNV in informing vaccine design and public health preparedness.
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Affiliation(s)
- Atanas V. Demirev
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
| | - Sangyi Lee
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
| | - Sejik Park
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
| | - Hyunbeen Kim
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
| | - Seunghye Cho
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
| | - Kyuyoung Lee
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
| | - Kisoon Kim
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
- Vaccine Innovation Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Jin-Won Song
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
- Vaccine Innovation Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Man-Seong Park
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
- Vaccine Innovation Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
- Biosafety Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Jin Il Kim
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul 02841, Republic of Korea (S.L.); (S.P.); (H.K.); (S.C.); (K.L.); (K.K.); (J.-W.S.)
- Vaccine Innovation Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
- Biosafety Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
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Gao Q, Wang S, Wang Q, Cao G, Fang C, Zhan B. Epidemiological characteristics and prediction model construction of hemorrhagic fever with renal syndrome in Quzhou City, China, 2005-2022. Front Public Health 2024; 11:1333178. [PMID: 38274546 PMCID: PMC10808376 DOI: 10.3389/fpubh.2023.1333178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Background Hemorrhagic fever with renal syndrome (HFRS) is one of the 10 major infectious diseases that jeopardize human health and is distributed in more than 30 countries around the world. China is the country with the highest number of reported HFRS cases worldwide, accounting for 90% of global cases. The incidence level of HFRS in Quzhou is at the forefront of Zhejiang Province, and there is no specific treatment for it yet. Therefore, it is crucial to grasp the epidemiological characteristics of HFRS in Quzhou and establish a prediction model for HFRS to lay the foundation for early warning of HFRS. Methods Descriptive epidemiological methods were used to analyze the epidemic characteristics of HFRS, the incidence map was drawn by ArcGIS software, the Seasonal AutoRegressive Integrated Moving Average (SARIMA) and Prophet model were established by R software. Then, root mean square error (RMSE) and mean absolute error (MAE) were used to evaluate the fitting and prediction performances of the model. Results A total of 843 HFRS cases were reported in Quzhou City from 2005 to 2022, with the highest annual incidence rate in 2007 (3.93/100,000) and the lowest in 2022 (1.05/100,000) (P trend<0.001). The incidence is distributed in a seasonal double-peak distribution, with the first peak from October to January and the second peak from May to July. The incidence rate in males (2.87/100,000) was significantly higher than in females (1.32/100,000). Farmers had the highest number of cases, accounting for 79.95% of the total number of cases. The incidence is high in the northwest of Quzhou City, with cases concentrated on cultivated land and artificial land. The RMSE and MAE values of the Prophet model are smaller than those of the SARIMA (1,0,1) (2,1,0)12 model. Conclusion From 2005 to 2022, the incidence of HFRS in Quzhou City showed an overall downward trend, but the epidemic in high-incidence areas was still serious. In the future, the dynamics of HFRS outbreaks and host animal surveillance should be continuously strengthened in combination with the Prophet model. During the peak season, HFRS vaccination and health education are promoted with farmers as the key groups.
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Affiliation(s)
- Qing Gao
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Shuangqing Wang
- Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang, China
| | - Qi Wang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Guoping Cao
- Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang, China
| | - Chunfu Fang
- Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang, China
| | - Bingdong Zhan
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang, China
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Skripchenko NV, Alekseeva LA, Zheleznikova GF, Skripchenko EY, Bessonova TV, Zhirkov AA. [Factors of the hemostasis system as biomarkers of severe course of acute viral infections]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:63-74. [PMID: 38529865 DOI: 10.17116/jnevro202412403163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
The authors give literature review of hemostasis and immune system factors intraction as main biomarkers of a severe cause of viral infectious diseases. Pro-inflamatory cytokines as the main markers of inflammation, can serve both as biomarkers of the clinical severity of the infectious process and reflect the state of the hemostatic and fibrinolytic systems, since components of these systems are present in various structures of the central nervous system and affect the development of neurons and synaptic plasticity. An inverse correlation has been proven between the concentration of D-dimer and the oxygenation index, and the development of DIC is not associated with the presence of respiratory failure in patients with influenza type A, while the ferritin concentration directly reflects the severity of the disease. One of the markers of endothelial damage may be soluble thrombomodulin, which, however, is rarely used in routine clinical practice. Cytoflavin is a highly effective pathogenetic drug that affects various parts of the hemostasis system, has anti-ischemic, antioxidant, antihypoxic, immunocorrective effect, which is indicated for any generalized infectious disease since its debut.
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Affiliation(s)
- N V Skripchenko
- Pediatric Research and Clinical Center for Infectious Diseases, St. Petersburg, Russia
- Saint Petersburg State Pediatric Medical University, St. Petersburg, Russia
| | - L A Alekseeva
- Pediatric Research and Clinical Center for Infectious Diseases, St. Petersburg, Russia
| | - G F Zheleznikova
- Pediatric Research and Clinical Center for Infectious Diseases, St. Petersburg, Russia
| | - E Yu Skripchenko
- Pediatric Research and Clinical Center for Infectious Diseases, St. Petersburg, Russia
- Saint Petersburg State Pediatric Medical University, St. Petersburg, Russia
| | - T V Bessonova
- Pediatric Research and Clinical Center for Infectious Diseases, St. Petersburg, Russia
| | - A A Zhirkov
- Pediatric Research and Clinical Center for Infectious Diseases, St. Petersburg, Russia
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Han YH, Lee CS. FDG PET/CT in Hantavirus Hemorrhagic Fever With Renal Syndrome. Clin Nucl Med 2023; 48:1073-1075. [PMID: 37934706 PMCID: PMC10662585 DOI: 10.1097/rlu.0000000000004915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/21/2023] [Indexed: 11/09/2023]
Abstract
ABSTRACT A 58-year-old man with fever, myalgia, and dysuria was admitted to the hospital. Because of prolonged fever, FDG PET/CT was performed. Surprisingly, bilateral kidneys were rapidly enlarged for 5 days with the renal parenchyma showing intense hypermetabolism. FDG PET/CT demonstrated physiology of Hantavirus invading kidneys and causing nephritis. This case illustrates that FDG PET/CT could be the choice of image modality for diagnosis and treatment evaluation of patients suspected of hemorrhagic fever with renal syndrome. To the best of our knowledge, this is the first report of FDG PET/CT image for a patient with hemorrhagic fever with renal syndrome.
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Affiliation(s)
| | - Chang-Seop Lee
- Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School and Hospital, Jeonju, Jeonbuk, Republic of Korea
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