A simple and practical score model for predicting the mortality of severe fever with thrombocytopenia syndrome patients

Xiong, Shue; Zhang, Wenjing; Li, Mingyue; Xiong, Yan; Li, Mengmeng; Wang, Hua; Yang, Dongliang; Peng, Cheng; Zheng, Xin

doi:10.1097/md.0000000000005708

Cited by 28 publications

(30 citation statements)

References 15 publications

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“…As reported previously [21], the SFTSI of patients at admission, where SFTSI = 5× neurological symptom level + 4× respiratory symptom level + 3× LG10 viral load -2× LN monocyte% -7, can be used to evaluate the severity of SFTS.…”

Section: Evaluating the Severity Of The Sfts Patientsmentioning

confidence: 99%

CD4 T cell loss and Th2 and Th17 bias are associated with the severity of severe fever with thrombocytopenia syndrome (SFTS)

Zhang

Weng

et al. 2018

Clinical Immunology

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Severe fever with thrombocytopenia syndrome (SFTS) is a newly emerging infectious disease caused by a novel bunyavirus with high mortality. Immune suppression is thought to be crucial in disease progression. However, data on immune responses during SFTS are scarce. This study aimed to evaluate the changes in CD4 T-cell subsets throughout the entirety of infection and analyse their relationships with disease severity in SFTS patients. In parallel with CD4 T-cell depletion, decreased Th1, Th2 and Treg numbers, but comparable Th17-cell numbers, were observed in deceased patients compared with those in surviving patients. Additionally, increased Th2 and Th17-cell percentages in the residual CD4 T-cell population led to aberrant Th2/Th1 and Th17/Treg ratios, which were positively correlated with disease severity. Collectively, our data indicated that CD4 T-cell deficiency, Th2 and Th17 bias were closely correlated with the severity of SFTS, indicating therapeutic potential of early immune interventions to ameliorate disease severity.

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Section: Evaluating the Severity Of The Sfts Patientsmentioning

confidence: 99%

CD4 T cell loss and Th2 and Th17 bias are associated with the severity of severe fever with thrombocytopenia syndrome (SFTS)

Zhang

Weng

et al. 2018

Clinical Immunology

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“…Another similar phlebovirus , named Heartland virus , was reported as the cause of two cases of severe febrile illness with thrombocytopenia in Missouri, USA [ 6 ]. SFTS is characterized by fever, thrombocytopenia, leukocytopenia, elevated alanine and aspartate amino transferases, proteinuria and various other systemic manifestations including muscular symptoms, respiratory symptoms, gastrointestinal symptoms, neurological disorders and coagulopathy [ 7 , 8 ]. It has become a significant public health threat with an estimated high case-fatality rate of 12.7% to 32.6% [ 5 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies had reported many risk factors associated with fatal outcomes [ 5 , 7 , 8 , 11 , 16 , 17 ]. For example, senior people is more likely to have a fatal clinical outcome [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…For example, senior people is more likely to have a fatal clinical outcome [ 18 ]. Besides, the risk factors in terms of the clinical presentations includes acute lung injury or acute respiratory distress syndrome, central nervous system (CNS) symptoms, hemorrhagic manifestations, and disseminated intravascular coagulation [ 8 , 17 ]. The risk factors regarding laboratory parameters include a higher serum viral load; the imbalance of cytokines and chemokines; decreased white blood cell counts (WBC) and platelets (PLT), higher aspartate aminotransferase (AST), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), creatinine kinase (CK), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), blood urea nitrogen (BUN) level, and serum creatinine (sCr) and prolonged activated partial thromboplastin time (APTT)[ 5 , 7 , 8 , 11 , 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

“…To our knowledge, only two models had been formed up today [ 8 , 16 ]. However, their scoring criterion were not consistent.…”

Section: Introductionmentioning

confidence: 99%

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A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome

et al. 2017

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Severe fever with thrombocytopenia syndrome (SFTS) is an emerging epidemic infectious disease caused by the SFTS bunyavirus (SFTSV) with an estimated high case-fatality rate of 12.7% to 32.6%. Currently, the disease has been reported in mainland China, Japan, Korea, and the United States. At present, there is no specific antiviral therapy for SFTSV infection. Considering the higher mortality rate and rapid clinical progress of SFTS, supporting the appropriate treatment in time to SFTS patients is critical. Therefore, it is very important for clinicians to predict these SFTS cases who are more likely to have a poor prognosis or even more likely to decease. In the present study, we established a simple and feasible model for assessing the severity and predicting the prognosis of SFTS patients with high sensitivity and specificity. This model may aid the physicians to immediately initiate prompt treatment to block the rapid development of the illness and reduce the fatality of SFTS patients.

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Establishment of an Early Prediction Model for Severe Fever With Thrombocytopenia Syndrome‐Associated Encephalitis

Liu,

Zhu,

Qin

et al. 2024

Immunity Inflam & Disease

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BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease primarily transmitted by ticks. The development of encephalitis in SFTS patients significantly increases the risk of adverse outcomes. However, the understanding of SFTS‐associated encephalitis (SFTSAE) is still limited. This study aimed to identify the clinical characteristics of SFTSAE and develop a predictive model for early detection.MethodsWe retrospectively collected data from 220 SFTS patients admitted to Nanjing Drum Tower Hospital between May 2019 and January 2024. The patients were first randomly divided into a training set (154 people, 70%) and a validation set (66 people, 30%). The patients in the training set were divided into SFTSAE and non‐SFTSAE groups according to the presence of encephalitis. A prediction model was constructed using the training set: important clinical parameters were selected using univariate logistic regression, and then multivariate logistic regression was performed to determine the independent risk factors for SFTSAE. A prediction model was constructed using these independent risk factors. Finally, the validation set was used to verify the predictive ability of the model.ResultsAge, C‐reactive protein, d‐dimer, and viral load were independent risk factors for SFTSAE (p < 0.05). A nomogram containing these four indicators was constructed, and the predictive performance of the nomogram was evaluated using the ROC curve. The AUC of the model was 0.846 (95% confidence interval [CI]: 0.770–0.921), which had good predictive ability for SFTSAE.ConclusionConclusion: The overall mortality rate of SFTS patients was 17.53%, and the mortality rate of encephalitis patients was 50%. Old age, high C‐reactive protein, elevated d‐dimer, and high viral load were independent risk factors for SFTSAE. The nomogram constructed based on these four indicators had good predictive ability and could be used as an evaluation tool for clinical treatment.

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A simple and practical score model for predicting the mortality of severe fever with thrombocytopenia syndrome patients

Abstract: Supplemental Digital Content is available in the text

Cited by 28 publications

References 15 publications

CD4 T cell loss and Th2 and Th17 bias are associated with the severity of severe fever with thrombocytopenia syndrome (SFTS)

CD4 T cell loss and Th2 and Th17 bias are associated with the severity of severe fever with thrombocytopenia syndrome (SFTS)

A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome

Establishment of an Early Prediction Model for Severe Fever With Thrombocytopenia Syndrome‐Associated Encephalitis

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