Thrombotic events and importance of IPSET thrombosis risk evaluation score in essential thrombocythaemia

2015 ◽  
Vol 156 (14) ◽  
pp. 558-563 ◽  
Author(s):  
Éva Pósfai ◽  
Imelda Marton ◽  
Attila Nemes ◽  
Zita Borbényi

Introduction: Thrombo-haemorrhagic complications contribute to both morbidity and mortality in patients with essential thrombocythaemia. Aim: The aim of the authors was to estimate the incidence of thrombotic events and to examine the clinical utility of IPSET thrombosis risk evaluation score against conventional two-categorical (low and high) risk assessment. Method: A retrospective analysis was carried out on 155 patients with essential thrombocythaemia (106 females; median age, 61 years) in a period between 1999 and 2014. Results: The analysis revealed 55 (35.5%) major thrombotic events before and 25 (16.1%) major thrombotic complications after establishment of the haematologic diagnosis. Significant differences were observed in thrombosis-free survival between the different IPSET groups (p = 0.002). Conclusions: The IPSET model was first examined in this cohort of patients with essential thrombocythaemia diagnosed in a single Hungarian haematologic centre. The results suggest that this score may provide more information than the conventional thrombosis risk assessment. Orv. Hetil., 2015, 156(14), 558–563.

2019 ◽  
Vol 25 (3) ◽  
pp. 133-152
Author(s):  
Byounggap Kim ◽  
Seongyoon Lim ◽  
Seung-Yeoub Shin ◽  
Sunghyun Yum ◽  
Yu-Yong Kim ◽  
...  

Abstract. Annually, tractor accidents are estimated to account for more than 100 deaths in South Korea. Periodic accident surveys have served as an essential means for the National Institute of Agricultural Sciences (NAS) to develop strategies to prevent tractor accidents. In this study, hazards leading to accidents were identified, and their risks were assessed based on survey results to establish a more effective accident prevention strategy. Risk assessment for hazards proceeded as follows: hazard identification, frequency estimation, number of equivalent fatalities (NEF) estimation, and finally risk evaluation. Hazards were identified by analyzing 588 accident cases from NAS surveys and performing an expert review of the analysis results by implementing a Delphi survey. The frequency and NEF of each hazard were estimated by multiplying its probabilities and the statistical results of the NAS surveys. Each hazard was plotted in a frequency-NEF (FN) diagram and evaluated according to its position. Fifty-four hazards were identified, and their frequencies and NEF values were estimated. The risk evaluation results, based on the FN diagram, revealed that no hazard was located in the “unacceptable” area, and two hazards (carelessness and not looking ahead carefully) were in the “as low as reasonably practicable” area. Thus, it is critical to mitigate the effects of these two hazards. With the risk assessment method used in this study, personnel who are engaged in the prevention of tractor accidents, such as policymakers, extension specialists, and researchers, can quantitatively predict how many cases or fatalities can be reduced by eliminating a certain hazard. Keywords: Equivalent fatality, Frequency estimation, Hazard identification, Risk assessment, Tractor accident.


2014 ◽  
Vol 556-562 ◽  
pp. 6665-6668
Author(s):  
Xiao Jun Lu ◽  
Kai Wen Zeng ◽  
Shi Wu Liao ◽  
Jin Yu Wen ◽  
En Lu ◽  
...  

A set of blackout risk assessment indexes is established according to Electricity Accident (Incident) Investigation Procedures of China Southern Power Grid (CSPG) (pilot) and Guide on Operational Risk Evaluation of CSPG, which can calculate risk values of electricity accidents (incidents). The calculation process is discussed in detail. Based on the proposed indexes and OPA blackout model, a blackout risk assessment method for power system is put forward, with which blackout risk for all 500kV buses in Guangdong Power Grid are evaluated. Weak areas in power system are identified and their inducements are analyzed. The identification results accord with actual system long-term operation experience, which verifies the correctness of the indexes and method.


2020 ◽  
Vol 34 (5) ◽  
pp. 627-640 ◽  
Author(s):  
Shi Xianwu ◽  
Qiu Jufei ◽  
Chen Bingrui ◽  
Zhang Xiaojie ◽  
Guo Haoshuang ◽  
...  

Author(s):  
Zuzhen Ji ◽  
Dirk Pons ◽  
John Pearse

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.


2021 ◽  
Vol 420 ◽  
pp. 129893
Author(s):  
Zijian Liu ◽  
Wende Tian ◽  
Zhe Cui ◽  
Honglong Wei ◽  
Chuankun Li

2021 ◽  
Vol 102 ◽  
pp. 102134
Author(s):  
Junjiang He ◽  
Tao Li ◽  
Beibei Li ◽  
Xiaolong Lan ◽  
Zhiyong Li ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hamid Reza Marateb ◽  
Maja von Cube ◽  
Ramin Sami ◽  
Shaghayegh Haghjooy Javanmard ◽  
Marjan Mansourian ◽  
...  

Abstract Background Already at hospital admission, clinicians require simple tools to identify hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve resource allocation and patient management within hospitals. From the statistical point of view, extended time-to-event models are required to account for competing risks (discharge from hospital) and censoring so that active cases can also contribute to the analysis. Methods We used the hospital-based open Khorshid COVID Cohort (KCC) study with 630 COVID-19 patients from Isfahan, Iran. Competing risk methods are used to develop a death risk chart based on the following variables, which can simply be measured at hospital admission: sex, age, hypertension, oxygen saturation, and Charlson Comorbidity Index. The area under the receiver operator curve was used to assess accuracy concerning discrimination between patients discharged alive and dead. Results Cause-specific hazard regression models show that these baseline variables are associated with both death, and discharge hazards. The risk chart reflects the combined results of the two cause-specific hazard regression models. The proposed risk assessment method had a very good accuracy (AUC = 0.872 [CI 95%: 0.835–0.910]). Conclusions This study aims to improve and validate a personalized mortality risk calculator based on hospitalized COVID-19 patients. The risk assessment of patient mortality provides physicians with additional guidance for making tough decisions.


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