Association between haemorrhagic fever with renal syndrome and cancers

Ye, Yi; Kang, Minsun; Kim, Won-Keun; Huh, Kyungmin; Klingström, Jonas; Song, Jin-Won; Jung, Jaehun

doi:10.1016/j.ijid.2021.10.014

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…Hantavirus often leads to different clinical symptoms such as fever; headache; circulatory collapse with hypotension; gastrointestinal symptoms; and severe life-threatening damage, including bleeding or acute kidney injury [4][5][6][7]. Moreover, the latest research noted a 73% increased risk of lymphoma among patients with HFRS [8].…”

Section: Introductionmentioning

confidence: 99%

The Spatiotemporal Pattern and Its Determinants of Hemorrhagic Fever With Renal Syndrome in Northeastern China: Spatiotemporal Analysis

Wang¹,

Wei²,

Jia³

et al. 2023

JMIR Public Health Surveill

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Background Hemorrhagic fever with renal syndrome (HFRS) is a significant zoonotic disease mainly transmitted by rodents. However, the determinants of its spatiotemporal patterns in Northeast China remain unclear. Objective This study aimed to investigate the spatiotemporal dynamics and epidemiological characteristics of HFRS and detect the meteorological effect of the HFRS epidemic in Northeastern China. Methods The HFRS cases of Northeastern China were collected from the Chinese Center for Disease Control and Prevention, and meteorological data were collected from the National Basic Geographic Information Center. Times series analyses, wavelet analysis, Geodetector model, and SARIMA model were performed to identify the epidemiological characteristics, periodical fluctuation, and meteorological effect of HFRS in Northeastern China. Results A total of 52,655 HFRS cases were reported in Northeastern China from 2006 to 2020, and most patients with HFRS (n=36,558, 69.43%) were aged between 30-59 years. HFRS occurred most frequently in June and November and had a significant 4- to 6-month periodicity. The explanatory power of the meteorological factors to HFRS varies from 0.15 ≤ q ≤ 0.01. In Heilongjiang province, mean temperature with a 4-month lag, mean ground temperature with a 4-month lag, and mean pressure with a 5-month lag had the most explanatory power on HFRS. In Liaoning province, mean temperature with a 1-month lag, mean ground temperature with a 1-month lag, and mean wind speed with a 4-month lag were found to have an effect on HFRS, but in Jilin province, the most important meteorological factors for HFRS were precipitation with a 6-month lag and maximum evaporation with a 5-month lag. The interaction analysis of meteorological factors mostly showed nonlinear enhancement. The SARIMA model predicted that 8,343 cases of HFRS are expected to occur in Northeastern China. Conclusions HFRS showed significant inequality in epidemic and meteorological effects in Northeastern China, and eastern prefecture-level cities presented a high risk of epidemic. This study quantifies the hysteresis effects of different meteorological factors and prompts us to focus on the influence of ground temperature and precipitation on HFRS transmission in future studies, which could assist local health authorities in developing HFRS-climate surveillance, prevention, and control strategies targeting high-risk populations in China.

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Section: Introductionmentioning

confidence: 99%

The Spatiotemporal Pattern and Its Determinants of Hemorrhagic Fever With Renal Syndrome in Northeastern China: Spatiotemporal Analysis

Wang¹,

Wei²,

Jia³

et al. 2023

JMIR Public Health Surveill

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“…To eliminate the possibility that postpancreatectomy diabetes occurred before the first reported date owing to the latency between disease occurrence and diagnosis, patients who died during the 90‐day washout period or reached the main outcome (the occurrence of ischemic heart disease) in the 30‐day washout period after study enrollment were excluded (Figure 1 ). 37 The following exclusion criteria were adopted: patients aged <18 years at enrollment, patients in whom the ischemic heart disease occurred before the start of observation, and patients diagnosed with pancreatic cancer before December 31, 2002.…”

Section: Methodsmentioning

confidence: 99%

“…The occurrence of ischemic heart disease was identified using ICD‐10 codes I20 to I25. 37 Patients were followed‐up from the date of pancreatectomy to the occurrence of the outcome, death, or the last observation date in the study period. Only first events with multiple outcomes during the observation period were considered.…”

Section: Methodsmentioning

confidence: 99%

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Risk of Ischemic Heart Disease in Patients With Postpancreatectomy Diabetes and Pancreatic Cancer: A Population‐Based Study

Yoo,

Kang,

Jung

2023

JAHA

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Background Postpancreatectomy diabetes can be caused by resection of functioning pancreatic tissue and is associated with postoperative pancreatic islet cell mass loss and subsequent endocrine dysfunction. Diabetes is a well‐known risk factor for ischemic heart disease. However, no previous studies have investigated ischemic heart disease in patients with postpancreatectomy diabetes and pancreatic cancer. Methods and Results Rates of patients with diabetes diagnosed with pancreatic cancer who underwent pancreatectomy between 2002 and 2019 in South Korea were obtained from the Korean National Health Insurance Service database. Patient‐level propensity score matching was conducted to reduce the possibility of selection bias, and multivariate Cox proportional hazards models were used to determine the association between postpancreatectomy diabetes and ischemic heart disease. In total, 30 242 patients were initially enrolled in the study. After applying exclusion criteria and propensity score matching, 2952 patients were included in the comparative analysis between the postpancreatectomy group with diabetes and the group without diabetes. Patients in the postpancreatectomy group with diabetes had significantly higher rates of ischemic heart disease than those in the group without diabetes. In total, 3432 patients were included in the comparison between the postpancreatectomy and prepancreatectomy groups with diabetes. There was no significant difference in the risk of ischemic heart disease between the postpancreatectomy and prepancreatectomy groups with diabetes. Conclusions Patients who developed diabetes after pancreatectomy had a higher risk of ischemic heart disease than patients who did not develop diabetes after pancreatectomy, and the rate of ischemic heart disease in these patients was similar to that in patients preoperatively diagnosed with diabetes.

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Risk of lymphoid malignancies increased after Puumala virus infection in Finland, 2009-2019: A retrospective register-based cohort study

Kääriäinen¹,

Ollgren²,

Dub³

et al. 2023

International Journal of Infectious Diseases

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Association between haemorrhagic fever with renal syndrome and cancers

Cited by 6 publications

References 23 publications

The Spatiotemporal Pattern and Its Determinants of Hemorrhagic Fever With Renal Syndrome in Northeastern China: Spatiotemporal Analysis

The Spatiotemporal Pattern and Its Determinants of Hemorrhagic Fever With Renal Syndrome in Northeastern China: Spatiotemporal Analysis

Risk of Ischemic Heart Disease in Patients With Postpancreatectomy Diabetes and Pancreatic Cancer: A Population‐Based Study

Risk of lymphoid malignancies increased after Puumala virus infection in Finland, 2009-2019: A retrospective register-based cohort study

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