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Objective@#To investigate the epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) in Shaoxing City from 2006 to 2022, so as provide insights into improvements of the HFRS control strategy.@*Methods@#Data pertaining to HFRS cases in Shaoxing City from 2006 to 2022 were captured from the Surveillance System of China Information System for Disease Control and Prevention. The temporal, population and regional distributions of HFRS were analyzed using the descriptive epidemiological method, and the trends in incidence of HFRS were evaluated using annual percent change (APC). @*Results@#Totally 1 022 HFRS cases were reported in Shaoxing City from 2006 to 2022, with annual average incidence of 1.22/105 and three deaths. The incidence of HFRS appeared a tendency towards a decline in Shaoxing City from 2006 to 2022 (APC=-11.101%, t=-9.930, P<0.001), and the incidence of HFRS peaked from May to June and from November to January of the next year. A higher incidence of HFRS was seen in men than in women (1.76/105 vs. 0.68/105; χ2=201.361, P<0.001). There were 714 HFRS cases at ages of 30 to 59 years (69.86%), and farmers were the predominant occupation (78.18%). The three counties with the largest number of HFRS cases included Zhuji (366 cases), Xinchang (263 cases) and Shengzhou (134 cases). The incidence of HFRS was lower in urban districts (Yuecheng, Keqiao and Shangyu) than in counties (Zhuji, Shengzhou and Xinchang) (0.58/105 vs. 1.96/105; χ2=326.880, P<0.001).@*Conclusion@#The incidence of HFRS appeared a tendency towards a decline in Shaoxing City from 2006 to 2022, and the incidence was high in late spring, early summer and winter. The HFRS cases were mainly males, young and middle-aged people, and farmers, and predominantly distributed in counties. Targeted control measures are needed.
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@#Abstract: Objective To detect the antibody levels of hantavirus in serum samples from patients suspected with hemorrhagic fever with renal syndrome (HFRS) in Heilongjiang Province from 2019 to 2021, and to provide scientific basis for the prevention and control of disease. Methods Enzyme-linked immunosorbent assays (ELISA) were used to detect the IgM antibodies to hantavirus in serum samples collected from suspected patients with HFRS in the acute-phase, and IgM and IgG antibody in convalescent-phase serum samples. The positive rate of IgM antibody in acute-phase serum samples of patients in different years was analyzed with χ2 test by SPSS 19.0, and the data were sorted out and analyzed about patients' gender, occupation, age, date of onset and interval from onset to initial diagnosis by EpiData 3.1, Excel 2003 software. Results A total of 351 acute-phase serum samples and 208 convalescent-phase serum samples were detected in patients suspected with HFRS, respectively. There were 317 positive IgM antibodies of serum samples in the acute stage, with the positive rate of 90.31%. There was no significant difference in the positive rate of IgM antibodies in the acute stage between different years (χ2=0.895, P=0.639). T The IgM antibodies and IgG antibodies were positive in 32 (15.39%) and 28 (13.46%) of the convalescent-phase serum samples, respectively. Moreover, 148 patients (71.15%) were double-positive for IgM and IgG antibodies at the convalescent stage. The ratio of male to female patients was 4.56∶1, for which male patients were much more than female patients. Occupation was dominated by farmers (253 cases, 79.81%), followed by workers (19 cases, 5.99%) and the unemployed (17 cases, 5.36%), respectively. The age of patients ranged from 10 to 88 years old, with a median age of 49 years old. Most of the patients were in the age group from 30 years old to 60 years old (209 cases, 65.93%), among which the age group from 40 years old to 50 years old (86 cases, 27.13%) had the highest proportion, and the age group from 60 years old to 90 years old had a proportion of 20.18% (19 cases). May and November were the peak periods of HFRS in Heilongjiang Province. The median interval between onset and initial diagnosis was 4 days. Conclusions There is a gap of about 10% between the clinical diagnosis of HFRS cases and the confirmed cases detected by laboratory in Heilongjiang Province from 2019 to 2021. The virus-specific detection results are important for confirming the diagnosis of local patients with HFRS.
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Objective:To investigate the related risk factors affecting the prognosis of hemorrhagic fever with renal syndrome(HFRS) in children.Methods:A retrospective study was carried out.We selected 182 pediatric patients who met the diagnostic criteria for pediatric HFRS while hospitalized in the Intensive Care Department of the Affiliated Children′s Hospital of Xi′an Jiaotong University between July 2014 and December 2021 as the research objects.The severe and critical patients were taken as the observation group(24 cases), and the mild and moderate pediatric patients were taken as the control group(158 cases). The demographic, epidemiological data and clinically relevant indicators within 8 hours of pediatric patients after admission were collected.The 28-day death was the primary endpoint.Renal failure and pulmonary edema were secondary endpoint.The differences of clinically relevant indicators between the two groups were observed.Logistic regression was used to analyze the risk factors and receiver operating characteristic(ROC) curve was used to determine the predictive efficacy of different outcome prediction models.Results:There were no statistically significant differences in age, gender, and BMI between the two groups (all P>0.05). Compared the control group with the observation group, coagulation function indicators such as activated partial thromboplastin time (APTT)[(134±21)s vs.(164±34)s], D-dimer [(6.31±3.20)mg/L vs.(12.43±5.67)mg/L], von Willebrand factor (vWF)[(352±45)μg/L vs.(465±103)μg/L], and platelet(PLT)[(87±35)×10 9/L vs.(45±24)×10 9/L], Lactate(Lac)[(2.6±1.1)mmol/L vs.(6.0±2.0)mmol/L]were different significantly(all P<0.05). Additionally, the lymphocyte characteristic analysis indicator lymphocytes [(2 749±686)×10 6/L vs.(2 374±851)×10 6/L], CD3 + [(1 821± 487)×10 6/L vs.(1 065±539)×10 6/L], CD4 + /CD8 + (1.65±0.73)vs.(1.00±0.25), CD19 + [(559±105)×10 6/L vs.(487± 133)×10 6/L]were different significantly(all P<0.05). The inflammatory index procalcitonin(PCT) [(22±15)ng/L vs.(56±21)ng/L, P<0.05]was different significantly in two groups.The rate of continuous renaly replacement therapy, ventilator-assisted ventilation, vasoactive drugs and other treatment measures increased significantly in observation group than those in control group(all P<0.05). Multivariate logistic regression analysis was performed on the included indicators.With death as the primary endpoint, Lac, CD8 + , D-dimer, vWF and PCT were significantly associated with mortality, which were risk factors for death, while PLT and CD4 + /CD8 + were protective factors.With renal failure and pulmonary edema as secondary endpoint, CD8 + , D-dimer, Lac and PCT were risk factors for secondary endpoint.ROC curve analysis showed that the sensitivity, specificity and AUC of the risk factor prediction model related to the primary endpoint variables were 77.91%, 81.22% and 0.769, and which related to secondary endpoint variables were 87.61%, 77.59% and 0.891, respectively. Conclusion:The combinations of CD8 + , D-dimer, Lac, PCT and vWF have good predictive value for poor prognosis in children with HFRS.
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Severe fever with thrombocytopenia syndrome(SFTS)and hemorrhagic fever with renal syndrome(HFRS)are infectious diseases.The epidemic of these two diseases can seriously affect human life and health,and is also a public health problem currently facing in the world.Due to the uneven level of medical development around the world,many doctors have insufficient understanding of these two diseases,which is likely to lead to missed diagnosis or misdiagnosis,and the patients are not treated correctly,which leads to aggravation of the disease and affects their prognosis.Clinically,the diagnosis of SFTS and HFRS mainly depends on the results of pathogenic examination and serological examination,but many medical institutions have not carried out these two examinations.Therefore,if epidemiological and clinical characteristics can be used to diagnose and differentiate these two diseases,it will help guide clinical practice.This paper reviews the research progress in the diagnosis and differential diagnosis of SFTS and HFRS at home and abroad in recent years.
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Objective:To analyze the spatiotemporal characteristics and spatial aggregation of the incidence of hemorrhagic fever with renal syndrome (HFRS) in China from 2004 to 2020, and to provide a scientific basis for prevention and control of HFRS.Methods:The epidemic information of HFRS in China from 2004 to 2020 was collected from the Public Health Science Data Center, the China Health Statistics Yearbook, and the National Statutory Infectious Disease Epidemic Profile Report. The Joinpoint model was used to analyze the annual average incidence rate change trend, ArcGIS 10.5 software was used for spatial visualization analysis, and global spatial autocorrelation, local spatial autocorrelation and spatiotemporal scan analysis were applied to detect hot spots and aggregation areas.Results:From 2004 to 2020, a total of 208 441 cases of HFRS were reported in China, with an average annual incidence rate of 0.91/100 000. Joinpoint model analysis showed that the average annual incidence rate of HFRS in China showed a decreasing trend from 2004 to 2020. In the provinces with high incidence, the disease was mostly distributed with multimodal distribution in spring, autumn and winter, especially in autumn and winter. The results of global spatial autocorrelation analysis showed that the global Moran's I of HFRS incidence rate in China from 2004 to 2019 were all positive. Except 2012 and 2020, the random distribution pattern was not excluded, other years showed spatial clustering ( Z > 1.65, P < 0.05). The results of phased local spatial autocorrelation analysis indicated that Heilongjiang, Jilin and Liaoning provinces were high-high aggregation regions. A total of five aggregation regions were detected in the month-by-month spatiotemporal scan analysis, and the differences of each aggregation region were statistically significant ( P < 0.001). Conclusions:From 2004 to 2020, the overall incidence of HFRS in China shows a downward trend, and the incidence rate has obvious spatial aggregation. High-risk areas still exist, and it is necessary to focus on and take targeted prevention and control measures.
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Objective:To explore the efficacy and safety of dual drug regimen in the treatment of Hantavirus hemorrhagic fever with renal syndrome with upper gastrointestinal bleeding.Methods:Sixty patients with hantavirus hemorrhagic fever with renal syndrome and upper gastrointestinal bleeding admitted to the Eighth Medical Center of the 301 Hospital from January 2020 to January 2022 were selected as the research objects. They were randomly divided into the control group (30 cases) and the observation group (30 cases). They were treated with omeprazole and omeprazole combined with octreotide respectively for 72 hours. The clinical efficacy, hemostasis time, hospital stay, hemoglobin, serum glucagon levels, adverse reactions and rebleeding rate were compared between the two groups.Results:The total effective rate of clinical treatment in the observation group was 93.33%(28/30), significantly better than 76.67%(23/30) in the control group, with a statistically significant difference ( P<0.05). The hemostasis time and hospitalization time in the observation group were significantly shorter than those in the control group (all P<0.05). After treatment, the hemoglobin level in both groups was higher than that before treatment, and the serum glucagon level was lower than that before treatment, the difference was statistically significant (all P<0.05); After treatment, the hemoglobin level in the observation group was higher than that in the control group, and the serum glucagon level was lower than that in the control group (all P<0.05). There was no statistically significant difference in the incidence of adverse reactions between the two groups (all P>0.05). The 48 hour rebleeding rate in the observation group was 3.33%(1/30), lower than the 26.67%(8/30) in the control group, with a statistically significant difference ( P<0.05). Conclusions:The dual drug regimen for Hantavirus hemorrhagic fever with renal syndrome with upper gastrointestinal bleeding can effectively control the bleeding symptoms, improve the hemostasis effect, lower the serum glucagon level, reduce the risk of rebleeding, and its safety is worthy of recognition.
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Objective:To analyze the clinical epidemiological characteristics and the prognostic risk factors of patients with hemorrhagic fever with renal syndrome (HFRS).Methods:A total of 2 245 HFRS patients who were admitted to the Second Affiliated Hospital of Air Force Medical University from September 2008 to December 2021 were enrolled. Clinical epidemiological data (including gender, age, onset season, onset region, case fatality rate, et al) of HFRS patients were analyzed. The clinical epidemiological characteristics of patients with HFRS in the 2008 to 2012, 2013 to 2017, and 2018 to 2021 groups were compared. Statistical comparisons were performed using chi-square test. The Bonferroni adjusted P-value method was used for pairwise comparisons between groups, and logistic regression analysis was used to screen and evaluate the risk factors associated with the prognosis of HFRS patients. Results:The age of 2 245 HFRS patients was (42.3±15.9) years old. Most of them were male (79.24%(1 779/2 245)), and the main incidence area was Xi′an City (69.53%(1 561/2 245)). There were 132 deaths with an overall case fatality rate of 5.88%. There were 1 088 patients (48.46%) from 2008 to 2012, 647 patients (28.82%) from 2013 to 2017, and 510 patients (22.72%) from 2018 to 2021, with a mortality rate of 7.17%(78/1 088), 5.10%(33/647) and 4.12%(21/510), respectively. From 2008 to 2021, both the number of HFRS cases and the case fatality rate had shown a fluctuating downward trend. There were significant differences in case fatality rate, age distribution, onset season, and onset region among patients in the different year groups ( χ2=6.84, 49.22, 83.47 and 19.29, respectively, all P<0.05). The results of pairwise comparisons showed that the proportion of patients aged >60 years in the 2018 to 2021 group (23.33%(119/510)) was higher than those in the 2008 to 2012 group (12.13%(132/1 088)) and the 2013 to 2017 group (12.36%(80/647)), and the differences were statistically significant (both P<0.05). The proportions of patients at large peak (October to December) were 62.35%(318/510) in the 2018 to 2021 group and 56.26%(364/647) in the 2013 to 2017 group, which were both lower than that in the 2008 to 2012 group (75.18%(818/1 088)), and the differences were both statistically significant (both P<0.05). The case fatality rate of patients aged >60 years was 9.67%(32/331), which was higher than those of patients aged <30 years (2.86%(16/559)) and patients aged 30 to 60 years (6.20%(84/1 355)), with statistically significant differences (both P<0.05). Univariate analysis showed that age 30 to 60 years, age >60 years, smoking, complicated with hypertension, hypotensive shock and hypoxemia were significantly correlated with the prognosis of HFRS patients (odds ratio ( OR)=2.243, 3.632, 1.484, 3.532, 79.422 and 143.955, respectively, all P<0.05). The results of multivariate logistic regression analysis indicated that complicated with hypertension ( OR=2.467, P=0.004), hypotensive shock ( OR=11.658, P=0.001), and hypoxemia ( OR=67.767, P<0.001) were the independent risk factors affecting the prognosis of HFRS patients. Conclusions:The prevalence of HFRS has shown new changing characteristics from 2008 to 2021. The numbers of HFRS patients and the case fatality rates show a downward trend, and the proportion of HFRS patients aged >60 years increases. Complicated with hypertension, hypotensive shock and development with hypoxemia are the independent risk factors for the prognosis of HFRS.
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Objective:To investigate the dynamic changes of routine laboratory parameters during the course of hemorrhagic fever with renal syndrome (HFRS) and estimate the predictive value for the severity of the disease.Methods:A retrospective cohort study was conducted, which enrolled 394 HFRS patients admitted to the Second Affiliated Hospital of Air Force Medical University (374 cases) and the Second Affiliated Hospital of Xi′an Jiaotong University (20 cases) from January 2019 to January 2022. The patients were divided into mild (mild and moderate) and severe (severe and critical) groups.The basic information, personal history, past history, treatment, complications and other clinical data of patients were collected and the results of the laboratory examinations in the morning at day 1, 2, 3, 4, 5, 7, 10, 15, 20 and 25 of hospitalization and before discharge were recorded. The dynamic changes of the patients′ routine laboratory indicators and the dynamic predictive values of each indicator for severe condition were analyzed. Mann-Whitney U test and chi-square test were used for comparison, and receiver operator characteristic (ROC) curve was used for predictive value evaluation. Results:The age of 212 patients in the mild group was 38(27, 61) years, and that of 182 patients in the severe group was 49(32, 64) years, the difference was statistically significant ( Z=-2.24, P=0.025). The incidences of acute pancreatitis, acute respiratory distress syndrome, multiple organ dysfunction syndrome, the utilization rates of blood purification and mechanical ventilation in the severe group were 6.0%(11/182), 12.6%(23/182), 19.8%(36/182), 89.6%(163/182) and 22.5%(41/182), respectively, and those in the mild group were 0(0/212), 0(0/212), 0(0/212), 15.6%(33/212) and 0.5%(1/212) respectively, and the differences were all statistically significant ( χ2=13.18, 28.45, 46.15, 214.48 and 50.02, respectively, all P<0.05). The levels of white blood cell count, lymphocyte count, monocyte count and neutrophil count were all increased rapidly after onset and peaked at days 4 to 6 of illness, with the counts of 14.2(9.7, 20.7)×10 9/L, 4.2(2.3, 6.2)×10 9/L, 1.5 (0.8, 3.3)×10 9/L and 8.3(4.3, 11.4)×10 9/L, respectively. Aspartate aminotransferase peaked (102(66, 178) U/L) within three days after onset and then decreased rapidly, returned to normal level by day 12. Blood urea nitrogen and creatinine both increased steadily after onset, peaked at day 9 to 10, with the levels of 13.2(7.7, 19.1) mmol/L and 255.4(122.9, 400.9) μmol/L, respectively. Prothrombin time, activated partial thromboplastin time, fibrinogen degradation products and D-dimer levels at day 3 after onset were 12.7(12.0, 13.2) s, 38.7(33.5, 51.9) s, 12.6(6.9, 32.0) mg/L and 4.9(2.2, 13.7) mg/L, respectively.Platelet count at day 4, neutrophil count at day 5, creatinine at day 11 and blood urea nitrogen at day 14 after onset had decent predictive values for estimating severity, of which the area under curve (AUC) values were 0.801(95% confidence interval (95% CI) 0.727 to 0.875), 0.824(95% CI 0.770 to 0.878), 0.862(95% CI 0.805 to 0.919) and 0.810(95% CI 0.722 to 0.897), respectively. Conclusions:Routine blood count, liver function and coagulation are important reference indicators for early warning of severe disease of HFRS, while with the progress of the disease, renal function indicators are effective in differentiating the severity of the disease. The platelet count at day 4, neutrophil count at day 5, creatinine at day 11 and blood urea nitrogen at day 14 after onset have predictive values for severe HFRS.
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Objective:To analyze the clinical characteristics and risk factors for severe disease of hemorrhagic fever with renal syndrome (HFRS) in underage patients, and to construct the severe disease risk model.Methods:A total of 170 HFRS patients (<18 years old) from the Second Affiliated Hospital of Air Force Medical University (153 cases) and the Second Affiliated Hospital of Xi′an Jiaotong University (17 cases) from January 2009 to December 2021 were included. According to the severity of the disease, the patients were divided into mild and severe groups. Baseline demographic data, symptoms, signs, laboratory examination on admission and prognosis were analyzed between the two groups. Statistical comparisons were performed using the Mann-Whitney U test and chi-square test.Binary logistic regression was used to analyze the independent risk factors of patients with severe disease, and the severe disease risk model was built.The receiver operator characteristic curve was used to analyze the value of the risk model in predicting severity of disease. Results:Among the 170 underage patients, 132 (77.6%) were males, aged (14.9±3.1) years, including 124 cases in mild group and 46 cases in severe group. One hundred and sixty-nine cases (99.4%) had fever, 119 cases (70.0%) had headache, 106 cases (62.4%) had lumbago, 158 cases (92.9%) had skin and mucous congestion, and 101 cases (59.4%) had nausea and vomiting. Renal percussive pain was found in 139(81.8%) patients. The incidence of nausea and vomiting and bleeding of skin and mucosa in the severe group were 71.7%(33/46) and 67.4%(31/46), respectively, which were both higher than those in the mild group (54.8%(68/124) and 44.4%(55/124), respectively), and the differences were statistically significant ( χ2=3.97 and 7.12, respectively, both P<0.05). There were significant differences in platelet count, activated partial thromboplastin time (APTT), serum creatinine (SCr), aspartate aminotransferase, alanine aminotransferase, leukocyte count, total bilirubin and albumin levels between the two groups ( Z=-4.14, -4.04, -4.87, -3.90, -4.07, -2.60, -2.78 and t=2.50, respectively, all P<0.05). Binary logistic regression analysis showed that chemosis (odds ratio ( OR)=8.035, 95% confidence interval (95% CI) 2.946 to 21.916), SCr ( OR=1.010, 95% CI 1.006 to 1.015) and APTT ( OR=1.049, 95% CI 1.003 to 1.098) were the independent risk factors for severe HFRS in the underage patients. The risk model was constructed as: Logit(P)=-10.323+ 2.084×chemosis (no=0, grade Ⅰ=1, grade Ⅱ=2, grade Ⅲ=3)+ 0.010×SCr (μmol/L)+ 0.048×APTT (s). The area under the curve to predict severity of disease in underage HFRS patients was 0.868, with an optimal cut-off value of -4.39, with a sensitivity of 73.90% and a specificity of 91.10%. According to the internal verification of the data of the study based on the severe disease risk model, 34 out of 46 patients with severe disease were severe (sensitivity, 73.91%), 113 out of 124 patients with mild disease were mild (specificity, 91.13%). Conclusions:The clinical manifestations of the underage HFRS patients are not typical.The main manifestations are fever, headache and lumbago, nausea and vomiting, and the incidences of skin and mucous congestion and renal percussive pain are high.Chemosis, SCr and APTT are independent risk factors for severe disease in underage patients with HFRS. The severe disease risk model could effectively predict the severity of disease.
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Objective:To analyze the epidemic characteristics and periodicity of hemorrhagic fever with renal syndrome (HFRS) in Jingzhou City, Hubei Province, and provide a basis for scientific prevention and control of HFRS in Jingzhou City.Methods:Retrospective analysis was used to collect HFRS case data and population data of Jingzhou City and 8 counties (cities, districts) within its jurisdiction, including Shashi District, Jingzhou District, Gongan County, Jianli City, Jiangling County, Shishou City, Honghu City, and Songzi City from 1962 to 2020, from the Archives of the Jingzhou Center for Disease Control and Prevention and the Infectious Disease Report Information Management System of the China Disease Control and Prevention Information System; and the epidemic characteristics of HFRS was analyzed in Jingzhou City and 8 counties (cities, districts) within its jurisdiction. The periodicity of HFRS onset was determined using wavelet analysis.Results:From 1962 to 2020, 18 936 HFRS cases were reported in Jingzhou City, with an average incidence rate of 5.95/100 000. There were a total of three epidemic peaks, namely from 1972 to 1973 (24.82/100 000, 24.84/100 000), 1983 (60.08/100 000), and 1995 (14.57/100 000). According to different regions, the high incidence areas of HFRS showed a phased transfer trend: from the 1960s to the 1970s, the Jiangbei area (Honghu City, Jianli City) was the highest incidence area; in the 1980s and 1990s, the high incidence areas were transferred to Jiangnan area (Songzi City, Shishou City, and Gongan County); after 2005, high incidence areas were relocated to Jiangbei area (Honghu City, Jianli City, Jiangling County). The wavelet analysis results showed that there were 12.30 and 21.77 years of HFRS epidemic cycles in Jingzhou City before 2000 ( P < 0.05); among them, the periodicity of Shashi District, Gongan County, Jiangling County, Shishou City, and Honghu City was relatively consistent with that of Jingzhou City, with epidemic cycles of about 12 or 22 years ( P < 0.05). Conclusions:Jingzhou City is currently at the peak of a 22-year epidemic cycle of HFRS, with Jiangbei area as the high incidence areas. The 12-year epidemic cycle in Jingzhou City has ended after 2000.
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Objective:To understand the epidemiological and clinical characteristics of children with severe and critical hemorrhagic fever with renal syndrome(HFRS), and to accumulate experience in the diagnosis and treatment of severe and critical HFRS in children.Methods:A retrospective analysis method was used to collect the clinical data of 49 children diagnosed with HFRS, who were admitted to the Department of Infectious Diseases, Children′s Hospital Affiliated to Xi′an Jiaotong University from January 2019 to December 2021 and classified as severe or critical group.The epidemiological data, characteristics, clinical manifestations, laboratory examinations, diagnosis and treatment outcomes of the children were analyzed.Results:Among the 49 children with severe HFRS, the ratio of male∶female was 3.45∶1(38∶11), the median age was 10 years and 8 months old, and the highest proportion was 6-12 years old.The peak incidence was in November and December(75.51%).Most of them lived in rural areas, with a total of 39 cases(79.59%).All patients had fever onset, gastrointestinal symptoms(vomiting, abdominal pain, diarrhea, 81.63%)and hyperemia of skin and mucous membranes(77.55%)were common, but typical headache, backache pain and orbital pain(three pains)only accounted for 15 cases(30.6%).Laboratory test results: the white blood cells in routine blood increased in 42 cases(85.71%), while the platelets decreased in 47 cases(95.91%).The procalcitonin was increased in 48 cases(97.95%).The alanine aminotransferase was elevated in 49 cases(100%), while the albumin of 38 cases(77.55%)were lower than 30 g/L.The urea nitrogen increased in 34 cases(69.38%), and the creatinine increased in 47 cases(95.91%).The creatine kinase isozyme was elevated in 41 cases(83.67%).Forty-nine children had different degrees of electrolyte imbalance, among which low sodium(91.83%)and low calcium(85.71%)were the most common.The urine protein was positive in 47 cases(95.91%), and the urine red blood cell was positive in 38 cases(77.55%).Ultrasonography of the urinary system revealed abnormalities in the kidneys and surrounding kidneys in 43 cases(91.48%).Twenty-eight(58.33%)patients had abnormal electrocardiogram.All the 49 patients were clinically cured.Conclusion:Severe HFRS is mainly in rural male children aged 6-12 years, mainly with fever and gastrointestinal symptoms, lack of typical three pain symptoms.When white blood cell count and procalcitonin significantly increased, platelet count significantly decreased, liver and kidney function impaired and electrolyte imbalance, severe cases should be highly suspected.Early identification of critically ill children and active treatment are critical to their prognosis.
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Objective:To analyze the epidemic characteristics and virus gene sequence of hemorrhagic fever with renal syndrome (HFRS) in an industrial park in Daishan County, Zhejiang Province, and to provide clues and basis for local HFRS prevention and control.Methods:According to the case questionnaire in the "National Surveillance Program for Hemorrhagic Fever with Renal Syndrome", general and epidemiological investigation of HFRS cases was carried out in the epidemic-related industrial park. Serum samples of the cases, people and host animals in the same living environment were collected for hantavirus antibody or nucleic acid detection, the M, S gene amplification and sequence determination. MEGAX 10.1.8 software was used to construct the phylogenetic tree of M and S genes for virus genotyping and evolutionary analysis.Results:A total of 3 confirmed cases of HFRS were reported. They were all workers in the epidemic-related industrial park, male, who lived in the park for more than half a year and had no history of HFRS vaccination. There were no rodent-proof facilities in the industrial park's dormitories and canteens, and the living items were placed in a disorderly manner, the rodents and its excrement could be seen; a total of 38 host animals were captured in the same living environment with cases, all of which were Rattus norvegicus. The 3 reported cases of HFRS were all mild, with atypical clinical manifestations in the early stage of onset, mainly fever and fatigue. The serum specific antibodies of hantavirus IgG and IgM were positive (3/3), and the antibodies of people in the same living environment were negative (100.0%, 100/100). The serum samples of 2 reported cases of HFRS and 4 Rattus norvegicus were positive for nucleic acid, all of which were SEOV type hantavirus. The M gene segment homology of 6 positive serum samples was 100.0%, which was closely related to Rod/2012/QHD/4/Gc isolated from Hebei and RuianRn180 isolated from Ruian Zhejiang Province; the homology of S gene segment was 99.6% to 99.8%, which was closely related to JiangxiXinjianRn-09-2011, a strain isolated from Jiangxi Province. Conclusions:The HFRS epidemic in the industrial park is caused by the transmission of SEOV type hantavirus to humans via Rattus norvegicus; poor living environment, poor hygiene habits of personnel and lack of vaccination are all related to the incidence of HFRS; the main epidemic strains shows high homology and geographical aggregation.
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Objective To analyze and study the epidemic and clinical characteristics of hemorrhagic fever with renal syndrome in Southern Anhui Province during 2010-2020. Methods The epidemiological and clinical data of HFRS patients hospitalized in Yijishan Hospital of Wannan Medical College from 2010 to 2020 were collected and statistically analyzed. Results The temporal distribution of HFRS epidemic in Southern Anhui Province showed that HFRS were more frequent during spring and summer, and HFRS morbidity was highest in June. The population distribution characteristics showed that the ratio of male to female patients was 4.7:1. The main age group of patients was 40-50 years old (50 cases, 33.8%), and a majority of patients were farmers (87 cases, 58.78). Analysis of clinical characteristics showed that fever, backache, anorexia and hypodynamia, diarrhea, emesis and headache were the main frequent symptoms of HFRS patients, and 88.52% of HFRS patients were cured or improved. Conclusion The high incidence period of HFRS is spring and summer in Southern Anhui Province from 2010-2020. HFRS patients in Southern Anhui Province have typical clinical symptoms and good prognosis.
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Objective:To explore the early warning value of laboratory parameters in patients with severe hemorrhagic fever with renal syndrome (HFRS).Methods:The clinical data of 101 patients with HFRS hospitalized in the Department of Infectious Diseases of the First Hospital of Changsha from December 2013 to December 2020 were collected and analyzed. The differences of clinical routine laboratory parameters between mild and severe HFRS patients were compared and analyzed. The statistical methods including independent sample t test, rank sum test, chi-square test, Spearman rank correlation analysis, logistic regression analysis and receiver operator characteristic curve were used. Results:Among 101 patients with HFRS, 38 cases were in severe group and 63 cases in mild group. White blood cell count, aspartate aminotransferase (AST), prothrombin time (PT), creatine kinase (CK), creatine kinase isoenzyme (CK-MB), serum creatinine, urea nitrogen and D-dimer in severe group were higher than those in mild group, while platelet count and albumin were lower than those in mild group, and the differences were all statistically significant ( t=8.61, Z=-3.76, t=4.19, Z=-2.84, Z=-7.23, t=4.98, t=4.64, t=36.02, Z=-5.49 and t=4.14, respectively; all P<0.050). Severe HFRS was positively correlated with white blood cell count, AST, PT, activated partial thromboplastin time (APTT), CK-MB, serum creatinine, urea nitrogen and D-dimer ( r=0.629, 0.376, 0.549, 0.471, 0.723, 0.500, 0.341 and 0.588, respectively; all P<0.001). White blood cell count, albumin, PT and CK-MB were independent influencing factors for the progression of severe HFRS (odds ratio ( OR)=0.922, 1.374, 0.730 and 0.938, respectively; all P<0.050). The area under curve (AUC) of white blood cell count, albumin, PT and CK-MB for the early warning prediction of severe HFRS were 0.869, 0.739, 0.785 and 0.931, respectively, with the optimal thresholds for prediction of 26.38×10 9/L, 26.05 g/L, 15.95 s and 35.5 U/L, respectively.And the AUC of the combined detection of the above laboratory parameters was 0.950, with the sensitivity of 87.3% and the specificity of 94.7%. Conclusions:White blood cell count, albumin, PT and CK-MB could be used as independent influencing factors for early warning of severe HFRS. Combined detection is more helpful for early warning of severe HFRS than single detection.
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Objective:To analyze the effects of seasonal autoregressive integrated moving average model (SARIMA), generalized additive model (GAM), and long-short term memory model (LSTM) in fitting and predicting the incidence of hemorrhagic fever with renal syndrome (HFRS), so as to provide references for optimizing the HFRS prediction model.Methods:The monthly incidence data of HFRS from 2004 to 2017 of the whole country and the top 9 provinces with the highest incidence of HFRS (Heilongjiang, Shaanxi, Jilin, Liaoning, Shandong, Hebei, Jiangxi, Zhejiang and Hunan) were collected in the Public Health Science Data Center (https://www.phsciencedata.cn/), of which the data from 2004 to 2016 were used as training data, and the data from January to December 2017 were used as test data. The SARIMA, GAM, and LSTM of HFRS incidence in the whole country and 9 provinces were fitted with the training data; the fitted model was used to predict the incidence of HFRS from January to December 2017, and compared with the test data. The mean absolute percentage error ( MAPE) was used to evaluate the model fitting and prediction accuracy. When MAPE < 20%, the model fitting or prediction effect was good, 20%-50% was acceptable, and > 50% was poor. Results:From the perspective of overall fitting and prediction effect, the optimal model for the whole country and Heilongjiang, Shaanxi, Jilin, Liaoning and Jiangxi was SARIMA ( MAPE was 19.68%, 20.48%, 44.25%, 19.59%, 23.82% and 35.29%, respectively), among which the fitting and prediction effects of the whole country and Jilin were good, and the rest were acceptable. The optimal model for Shandong and Zhejiang was GAM ( MAPE was 18.29% and 21.25%, respectively), the fitting and prediction effect of Shandong was good, and Zhejiang was acceptable. The optimal model for Hebei and Hunan was LSTM ( MAPE was 26.52% and 22.69%, respectively), and the fitting and prediction effects were acceptable. From the perspective of fitting effect, GAM had the highest fitting accuracy in the whole country data, with MAPE = 10.44%. From the perspective of prediction effect, LSTM had the highest prediction accuracy in the whole country data, with MAPE = 12.23%. Conclusions:SARIMA, GAM, and LSTM can all be used as the optimal models for fitting the incidence of HFRS, but the optimal models fitted in different regions show great differences. In the future, in the establishment of HFRS prediction models, as many alternative models as possible should be included for screening to ensure higher fitting and prediction accuracy.
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Objective:To study the epidemiological characteristics and spatio-temporal aggregation of hemorrhagic fever with renal syndrome (HFRS) in Shandong Province, and to provide reference for formulating reasonable prevention and control strategies.Methods:Retrospective analysis was used to collect HFRS surveillance data and confirmed case data in Shandong Province from 2017 to 2020 in the "China Disease Prevention and Control Information System Infectious Disease Surveillance System". Geoda 1.18 software was used for global and local spatial autocorrelation analysis, SaTScan 9.6 software was used for spatio-temporal scanning analysis, and ArcGis 10.7 software was used for map drawing and visual display.Results:A total of 3 753 cases of HFRS were reported in Shandong Province from 2017 to 2020, including 56 deaths. The annual incidence rate was 1.26/100 000, 1.22/100 000, 0.75/100 000 and 0.53/100 000, respectively, with an average annual incidence rate of 0.94/100 000. The incidence of HFRS was obviously seasonal, mainly concentrated in autumn and winter from October to December, accounting for 50.41% (1 892/3 753). The age of onset was mainly 30-59 years old, accounting for 61.68% (2 315/3 753). The male to female ratio was 2.76 ∶ 1.00 (2 756 ∶ 997). The occupation distribution was mainly farmers, accounting for 81.99% (3 077/3 753). The global spatial autocorrelation analysis showed that HFRS showed spatial aggregation areas in each year from 2017 to 2020 (Moran' I = 0.38, 0.33, 0.59, 0.46, Z = 7.47, 7.23, 10.69, 8.66, P < 0.001). The local spatial autocorrelation analysis showed that "high-high" aggregation areas were mainly concentrated in central and southeast of Shandong Province, while "low-low" aggregation areas were mainly concentrated in northwest of Shandong Province. Spatio-temporal scanning analysis revealed 1 type Ⅰ agglomerations and 2 type Ⅱ aggregation areas. The type Ⅰ aggregation areas occurred from October to November 2018, covering 22 counties (districts) of 5 cities in Qingdao, Yantai, Weifang, Weihai and Rizhao. The first type Ⅱ aggregation area occurred from October to November 2017, involving 23 counties (districts) of 8 cities in Jinan, Zibo, Zaozhuang, Weifang, Jining, Tai 'an, Rizhao and Linyi. The second type Ⅱ aggregation area occurred in Jinxiang County, Jining City from February to March 2017. Conclusion:The incidence of HFRS in Shandong Province from 2017 to 2020 has obvious spatio-temporal aggregation, and the hot spots are concentrated in central and southeast of Shandong Province, which should be regarded as a key area for prevention and control of HFRS.
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Objective:To analyze the epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) in Qiqihar City, and to understand the epidemic and development rules of HFRS, and to provide scientific basis for formulating targeted prevention and control measures.Methods:The data of HFRS cases in Qiqihar City from 2016 to 2020 were collected from the China Disease Control and Prevention Information System by retrospective analysis, and the three distributions (time, region and population distribution) of HFRS were analyzed by descriptive epidemiology. At the same time, the monitoring data of rats in Nehe City from 2016 to 2020 were collected from the Nehe Municipal Center for Disease Control and Prevention for descriptive analysis.Results:From 2016 to 2020, 868 HFRS cases were reported in Qiqihar City, with 10 deaths. The average annual incidence rate was 3.26/100 000, the average annual mortality rate was 0.04/100 000, and the case fatality rate was 1.15%. From 2016 to2020, the incidence rates were 3.23/100 000, 3.31/100 000, 3.22/100 000, 4.10/100 000 and 2.43/100 000, respectively. Incidence occurred in all months of the year, with the peak period from October to December (490 cases in total). The top five counties(cities) with the incidence of HFRS were Nehe City (7.46/100 000), Keshan County (5.03/100 000), Gannan County (3.84/100 000), Fuyu County (3.82/100 000) and Tailai County (3.63/100 000). Among the patients, 76.04% (660/868) were male and 23.96% (208/868) were female; the age of onset was mainly 30-69 years old, accounting for 81.57% (708/868) of the total cases; the occupation distribution was mainly farmers, accounting for 75.46% (655/868) of the total cases. The results of rat monitoring in Nehe City from 2016 to 2020 showed that Rattus norvegicus was the dominant species in the field and village, accounting for 65.13% (581/892) and 80.21% (466/581), respectively. In spring, the rat density in the field and village was 3.37% (397/11 771) and 6.64% (275/4 141), respectively; in autumn, the rat density in the field and village was 8.47% (495/5 843) and 9.40% (306/3 254), respectively. The virus carrying rate of Rattus norvegicus was high, 13.14% (131/997); the infection rate of Rattus norvegicus was also high, 15.15% (151/997); the virus carrying rate and infection rate in the village were higher than those in the field (χ 2 = 6.87, P = 0.009; χ 2 = 13.05, P < 0.001). Conclusions:The incidence of HFRS in Qiqihar City is relatively stable from 2016 to 2018, rising in 2019 and falling back in 2020; the onset time is mainly in autumn and winter, mainly male and farmers. From 2016 to 2020, among all counties (cities, districts) in Qiqihar City, the incidence of HFRS in Nehe City is high, and the density of rats in autumn is higher than that in spring. Rattus norvegicus is the main species of rats, with high virus carrying rate and infection rate.
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Objective:To analyze the epidemiological characteristics and tendency of hemorrhagic fever with renal syndrome (HFRS) in Xi'an, master its popular and development laws, and provide scientific basis for formulating targeted prevention and control measures.Methods:The retrospective method was used to collect HFRS epidemic data and demographic data from 2009 to 2018 in Xi'an. The descriptive epidemiological method was used to analyze the three distributions (time, region, population distributions) of HFRS.Results:There were 8 710 HFRS cases in Xi'an from 2009 to 2018, with an average annual incidence of 10.13/100 000 and an average annual mortality rate of 0.08/100 000; the incidence of HFRS had decreased year by year since the peak incidence in 2010 (19.46/100 000), and had rebounded in 2017 (9.14/100 000), 2018 (9.04/100 000). The time distribution of the onset of HFRS was bimonthly, with peak in autumn and winter (October to January of following year) each year, accounting for 74.08% (6 452/8 710) of the total number of cases; the peak in spring and summer (May to July) accounted for 14.33% (1 248/8 710). HFRS cases were mainly concentrated in Chang'an District (2 446 cases), Zhouzhi County (1 494 cases), Hu County (1 170 cases), and Lintong District (940 cases), accounting for 69.46% (6 050/8 710). The age of onset of HFRS cases was mainly concentrated in 15-59 years old, accounting for 74.06% (6 451/8 710); the incidence rate in males was 14.77/100 000, in females was 5.25/100 000, the difference was statistically significant between gender (χ 2=1 921.42, P < 0.05); the occupational distribution was mainly farmers, accounting for 68.38% (5 956/8 710). Conclusions:From 2009 to 2016, the HFRS epidemic situation in Xi'an has showed a downward trend, and the incidence of HFRS has rebounded in 2017-2018. Xi'an should continue to take active and effective comprehensive measures to intervene to further realize effective control of HFRS.
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Objective:To investigate and analyze a suspected case of hemorrhagic fever with renal syndrome (HFRS) complicated with dengue fever (DF) in Longhua District of Shenzhen City, so as to improve the level of diagnosis and monitoring of such case.Methods:The morbidity and treatment data of this case were analyzed retrospectively, and the results of blood routine, urine routine, dengue virus and Hantavirus antibody, nucleic acid test and other laboratory tests were collected, the epidemiological analysis included the history of travel, mosquito bite and rodent contact was did.Results:This case was 25-year-old male presented with fever (maximum body temperature 39.4 ℃), chills and fatigue. On the 5th day, he developed oliguria. The clinical laboratory results showed that the platelet count decreased, the urine routine was detected, and the sediment tube type was 86.32 μl. The serum samples were tested, positive for dengue virus NS1 antigen and IgM antibody, negative for viral nucleic acid; positive for IgM antibody of Hantavirus, positive for Hantavirus nucleic acid. This case had a history of contact with mice without any protection, no obvious epidemiological history of DF, this patient might be a suspected case of HFRS with DF.Conclusions:This patient may be a suspected case of HFRS with DF. The infectious source of HFRS is suspected to be rats.
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Objective:To analyze the clinical characteristics and prognosis of pregnant women with hemorrhagic fever with renal syndrome (HFRS).Methods:A total of 11 pregnant women with HFRS admitted to The Second Affiliated Hospital of Xi′an Jiaotong University (four cases), The Second Affiliated Hospital of Air Force Medical University (four cases), The First Affiliated Hospital of Xi′an Jiaotong University (one case) and Central Hospital of Xianyang City (two cases) between November 2009 and February 2019 were included as the study group, and 24 age-matched non-pregnant women with HFRS were selected as the control group. The age, complications, clinical classification and laboratory indexes of the two groups were analyzed retrospectively, and the clinical outcomes of pregnant women and their fetuses in the study group were followed up. The data between two groups were compared using Mann-Whitney U test or chi-square test. Results:Patients in the study and control groups were 29 (22, 33) and 32 (24, 37) years old, respectively. Seven of 11 patients in study group were severe and critical cases, which was significantly higher than that in the control group (16.7%(4/24), χ2=7.722, P=0.015). In the study group, 10 patients had hypervolemic syndrome, 10 patients had pulmonary edema and six patients had overlapping hypotension shock phase and oliguria phase, which were all higher than those in the control group ((2/24, 8.3%), (2/24, 8.3%) and (2/24, 8.3%), respectively; χ2=22.828, 22.828 and 9.135, respectively, all P<0.01). Compared with the control group, the pregnant patients in study group had a higher urea nitrogen maximum and serum creatinine maximum, and the differences were both statistically significant ( Z=-2.453 and -2.336, respectively, both P<0.05), while they had a lower serum albumin minimum, hemoglobin maximum and hemoglobin minimum, and the differences were all statistically significant ( Z=-3.742, -3.350 and -4.034, respectively, all P<0.01). All pregnant women with HFRS recovered. Nine pregnant women gave birth to nine healthy infants. All of them received breastfeeding and the feeding duration were more than six months. No abnormal growth and development were found during an average follow-up of three years. Conclusions:Pregnancy can aggravate the severity of HFRS, and pregnant women have higher risk of the multiple stages overlap and the complications such as hypervolemic syndrome and acute pulmonary edema. After recovery from HFRS, mother may carry to full-term pregnancy.