Risk factors of severe fever with thrombocytopenia syndrome combined with central neurological complications: A five-year retrospective case–control study

Wang, Min; Huang, Peng; Liu, Wei; Tan, Weilong; Chen, Tianyan; Zeng, Tian; Zhu, Chuanlong; Shao, Jianguo; Hong, Xue; Li, Jun; Yue, Ming

doi:10.3389/fmicb.2022.1033946

Cited by 9 publications

(4 citation statements)

References 61 publications

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“…In ICU-admitted patients, Nie et al [ 35 ] showed no significant differences in the prevalence of arrhythmia between survivors and nonsurvivors ( P = .665), although arrhythmia was slightly more common in nonsurvivors (38.8% vs 34.8%). Additionally, arrhythmia was positively associated with 30-day mortality (adjusted hazard ratio, 4.61; 95% CI, 1.42–14.94; P = .011) [ 36 ] and central neurological complications (OR, 21.598; 95% CI, 4.896–95.270; P < .001) ( Table 2 ) [ 39 ].…”

Section: Resultsmentioning

confidence: 99%

Cardiac Abnormalities in Patients With Severe Fever With Thrombocytopenia Syndrome: A Systematic Review

Liu,

Yang,

Shen

et al. 2023

Open Forum Infectious Diseases

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Since the identification of severe fever with thrombocytopenia syndrome virus (SFTSV) in 2010, there has been an increase in reported cases in China and other Asian countries. Cardiac abnormalities are highly prevalent in SFTS patients. We searched 5 Chinese and international databases for published SFTS articles and extracted patient characteristics, cardiac complications, electrocardiography findings, and imaging findings. Twenty-seven studies were identified, covering 1938 patients and 621 cardiac abnormalities. Arrhythmia was the most prevalent, reported in 24 studies and 525 cases, with a prevalence of 27.09%. The 2 major types of arrhythmias were bradycardia and atrial fibrillation. Heart failure was the second most prevalent abnormality, with 77 cases. Changes in the ST segment and T wave were the most common. Valve regurgitation, reduced ejection fraction, and pericardial effusion were also documented. We recommend that physicians pay close attention to newly onset arrhythmia and structural heart disease in SFTS patients.

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Section: Resultsmentioning

confidence: 99%

Cardiac Abnormalities in Patients With Severe Fever With Thrombocytopenia Syndrome: A Systematic Review

Liu,

Yang,

Shen

et al. 2023

Open Forum Infectious Diseases

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“…Scatter plot of relative concentrations of cytokines selected from multiple linear regression and fold changes of significantly different cytokines was visualized using the ggplot2 package in R Statistical Software. Subsequently, a random forest model of log2-transformed cytokines was constructed using the Random Forest package in R Statistical Software for final selection based on the results of the preliminary screening, which randomly divided the data into training and validation sets in an 8:2 ratio and determined the best seed number (500) and mtry value ( 5 ). Fivefold cross-validation was performed to draw the error rate curve, and the top 10 cytokines were selected using the mean decrease accuracy method for drawing receiver operating characteristic (ROC) curves in the validation set.…”

Section: Methodsmentioning

confidence: 99%

“…As of 2019, there have been 12,000 confirmed cases of SFTS in China with a mortality rate remaining as high as 7% ( 4 ). Studies have shown that neurological manifestations were more frequent in patients with severe SFTS than those with generalized types, with these neurological manifestations often predicting a poorer prognosis ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

The differences in cytokine signatures between severe fever with thrombocytopenia syndrome (SFTS) and hemorrhagic fever with renal syndrome (HFRS)

Liu,

Xue,

Geng

et al. 2024

J Virol

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Severe fever with thrombocytopenia syndrome (SFTS) virus and hantavirus are categorized under the Bunyavirales order. The severe disease progression in both SFTS and hemorrhagic fever with renal syndrome (HFRS) is associated with cytokine storms. This study aimed to explore the differences in cytokine profiles and immune responses between the two diseases. A cross-sectional, single-center study involved 100 participants, comprising 46 SFTS patients, 48 HFRS patients, and 6 healthy controls. The study employed the Luminex cytokine detection platform to measure 48 cytokines. The differences in cytokine profiles and immune characteristics between the two diseases were further analyzed using multiple linear regression, principal component analysis, and random forest method. Among the 48 cytokines tested, 30 showed elevated levels in SFTS and/or HFRS compared to the healthy control group. Furthermore, there were 19 cytokines that exhibited significant differences between SFTS and HFRS. Random forest analysis suggested that TRAIL and CTACK were predictive of SFTS, while IL2Ralpha, MIG, IL-8, IFNalpha2, HGF, SCF, MCP-3, and PDGFBB were more common with HFRS. It was further verified by the receiver operating characteristic with area under the curve >0.8 and P -values <0.05, except for TRAIL. Significant differences were observed in the cytokine profiles of SFTS and HFRS, with TRAIL, IL2Ralpha, MIG, and IL-8 being the top 4 cytokines that most clearly distinguished the two diseases. IMPORTANCE SFTS and HFRS differ in terms of cytokine immune characteristics. TRAIL, IL-2Ralpha, MIG, and IL-8 were the top 4 that differed markedly between SFTS and HFRS.

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“…The main clinical manifestations include acute fever, thrombocytopenia, leukopenia, gastrointestinal and neurological symptoms (6)(7)(8), moreover, multiple organ failure may occur in severe cases with a maximum mortality of 30% (9,10). Recently, tick-borne rickettsioses, another zoonotic infectious disease caused by the spotted fever group rickettsiae (SFGR), was found in succession in central China.…”

Section: Introductionmentioning

confidence: 99%

Development of an all-in-one real-time PCR assay for simultaneous detection of spotted fever group rickettsiae, severe fever with thrombocytopenia syndrome virus and orthohantavirus hantanense prevalent in central China

Wang,

Chen,

et al. 2024

Preprint

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Central China has been reported to be one of the most important endemic areas of zoonotic infection by spotted fever group rickettsiae(SFGR), severe fever with thrombocytopenia syndrome virus (SFTSV) and orthohantavirus hantanense(HTNV). Due to similar clinical symptoms, it is challenging to make a definite diagnosis rapidly and accurately in the absence of microbiological tests. In the present study, an all-in-one real-time PCR assay was developed for the simultaneous detection of nucleic acids from SFGR, SFTSV and HTNV. Three linear standard curves for determining SFGR-ompA, SFTSV-Land HTNV-Lwere obtained within the range of 101-106copies/μL, with the PCR amplification efficiencies ranging from 93.46% to 96.88% and the regression coefficients R2of >0.99. The detection limit was 1.108 copies/μL for SFGR-ompA, 1.075 copies/μL for SFTSV-Land 1.006 copies/μL for HTNV-L, respectively. Both the within-run and within-laboratory coefficients of variation on the cycle threshold (Ct) values were within the range of 0.53%-2.15%. It was also found there was no statistical difference in the Ct values between with and without other non-target bloodborne virus nucleic acids (PSFGR-ompA=0.186, PSFTSV-L=0.612, PHTNV-L=0.298). The sensitivity, specificity, positive and negative predictive value were all 100% for determining SFGR-ompAand SFTSV-L, 97%, 100%, 100% and 99.6% for HTNV-L, respectively. Therefore, the all-in-one real-time PCR assay appears to be a reliable, sensitive, rapid, high-throughput and low cost-effective method to diagnose the zoonotic infection by SFGR, SFTSV and HTNV.Author SummarySpotted fever, severe fever with thrombocytopenia syndrome (SFTS), and hemorrhagic fever with renal syndrome (HFRS) sporadically have outbreaks in central China. Due to the similarities in clinical symptoms and the absence of reliable diagnostic methods, clinical diagnosis and treatment frequently result in misdiagnosis or missed diagnosis. Thus, the development of a fast and accurate diagnostic method is crucial for prevention and precise treatment. In this study, we designed an all-in-one real-time PCR assay to differentiate spotted fever group rickettsiae(SFGR), severe fever with thrombocytopenia syndrome virus (SFTSV) and orthohantavirus hantanense(HTNV). The geneompAof SFGR, as well as the gene segmentLof SFTSV and HTNV, were used as targets to design primers and probes for amplification. Through the verification of nucleic acid and clinical sample detection, the sensitivity of this detection method exceeded 97%, and its specificity was 100%.This new assay could be applied in epidemiology and clinical diagnosis, to control new outbreaks, reduce diagnostic and identification time, and improve test efficiency.

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Risk factors of severe fever with thrombocytopenia syndrome combined with central neurological complications: A five-year retrospective case–control study

Cited by 9 publications

References 61 publications

Cardiac Abnormalities in Patients With Severe Fever With Thrombocytopenia Syndrome: A Systematic Review

Cardiac Abnormalities in Patients With Severe Fever With Thrombocytopenia Syndrome: A Systematic Review

The differences in cytokine signatures between severe fever with thrombocytopenia syndrome (SFTS) and hemorrhagic fever with renal syndrome (HFRS)

Development of an all-in-one real-time PCR assay for simultaneous detection of spotted fever group rickettsiae, severe fever with thrombocytopenia syndrome virus and orthohantavirus hantanense prevalent in central China

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