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1 HFRS has prominent systemic manifestations.
2 HFRS is primarily a Eurasian disease, whereas HPS appear
3 HFRS patients have an activated coagulation system with
4 HFRS patients have increased thrombopoiesis and platelet
5 HFRS was associated with an increased risk of both in-ho
6 HFRS, baseline low, ORs: intermediate 2.65 [2.55, 2.75],
7 ociated with HPS [New York-1 virus (NY-1V)], HFRS [Hantaan virus (HTNV)], or by a hantavirus not asso
8 dmission in the eFI model 2.67 [2.55, 2.79], HFRS model 2.30 [2.20, 2.41], CCI model 2.62 [2.51, 2.75
10 ate ratio of AMI/stroke in the 21 days after HFRS against 2 different control periods either excludin
11 xamined the risk of cancer development after HFRS in the Swedish population between 1997 and 2011 (n
15 ection by HPS causing Andes virus (ANDV) and HFRS causing Hantaan virus (HTNV) are inhibited by alpha
16 For predicting inpatient deaths, the CCI and HFRS based models were similar, however for longer term
17 opment as a countermeasure for both HCPS and HFRS, and its mode of Gn/Gc recognition informs the deve
18 98 blocked the cell entry of seven HCPS- and HFRS-associated hantaviruses, and single doses of this n
19 e findings indicate that pathogenic HPS- and HFRS-causing hantaviruses enter cells via beta3 integrin
20 -sectional study, using the population-based HFRS to screen for frailty yielded poor detection of fra
22 a to humans or from human to human and cause HFRS and HCPS, with mortalities of 15% and 50%, respecti
37 tails of pathogenic Andes (HPS) and Hantaan (HFRS) viruses are also degraded by the proteasome and th
38 ain findings of this study are that the high HFRS incidence (19.3/100,000) is correlated to the captu
39 66; 95% CI, 1.60-1.71) and those with higher HFRS scores (HR per 1.0-point increment, 1.10; 95% CI, 1
41 tly increased in vivo platelet activation in HFRS patients with intravascular coagulation (DIC and th
50 his study is to determine the correlation of HFRS incidence with capture rate and hantavirus infectio
52 the spatiotemporal dynamics distribution of HFRS cases from 2005 to 2018 in Jiangxi at the county sc
54 t, we demonstrate that the cellular entry of HFRS-associated hantaviruses is facilitated by specific
55 Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, t
60 easomal degradation of the G1 tail in HPS or HFRS is unclear, these findings link G1 tail degradation
63 Index (CCI) and Hospital Frailty Risk Score (HFRS) using specialist diagnoses during the preceding 5
64 rval]) for age, hospital frailty risk score (HFRS), electronic frailty index (eFI), Charlson comorbid
65 and include the Hospital Frailty Risk Score (HFRS), the Electronic Frailty Index (eFI), the 5-Factor
68 onal identification numbers from the Swedish HFRS patient database (1997-2012; n=6643) were cross-lin
69 ases haemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS) in
70 cause hemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS), wi
71 mans: hemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS).
72 cause hemorrhagic fever with renal syndrome (HFRS) and hantavirus pulmonary syndrome (HPS) in humans.
80 ch as Hemorrhagic fever with Renal Syndrome (HFRS) and its mild form, Nephropathia Epidemica (NE), or
81 ) and hemorrhagic fever with renal syndrome (HFRS) are severe diseases associated with hantavirus inf
86 ither hemorrhagic fever with renal syndrome (HFRS) or hantavirus cardiopulmonary syndrome (HCPS) in h
88 auses hemorrhagic fever with renal syndrome (HFRS), which is an important public health problem in la
98 n endothelial cells and Vero E6 cells by the HFRS-causing hantaviruses Hantaan (HTN), Seoul (SEO), an
101 n was used to identify the components of the HFRS most predictive of mortality and develop a simplifi
103 were the sensitivity and specificity of the HFRS to detect frail and nonfrail individuals according
104 was the optimal probability threshold of the HFRS to discriminate frail and nonfrail individuals.
105 ial autocorrelation analysis showed that the HFRS epidemic exhibited the characteristic of highly spa
106 set of 12 of the 109 ICD-10 codes within the HFRS resulted in superior prediction of mortality in thi
109 nd nonpathogenic hantaviruses, contribute to HFRS and HPS pathogenesis, and provide insight into dise
110 ccines or specific drugs to prevent or treat HFRS and HCPS and the requirement for conducting experim
112 and hip fracture was higher in patients with HFRS 5 and above (OR, 1.75; 95% CI, 1.31-2.33) and CKD (