Cardiovascular risk assessment device for ionizing radiation and noise composite exposure
By designing a cardiovascular risk assessment device with composite exposure of ionizing radiation and noise, using multi-factor regression analysis and environmental risk scoring method, the problem of inability to effectively evaluate the combined effect of multiple hazard factors in the prior art is solved, and a scientific and accurate assessment of cardiovascular health risks is achieved.
Patent Information
- Application Number
- CN202411995115.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-05-27
AI Technical Summary
The prior art is difficult to effectively evaluate the combined effect of ionizing radiation and noise composite exposure on cardiovascular health, and it is impossible to accurately predict the synergistic or additive effects of multiple hazard factors.
A cardiovascular risk assessment device with composite exposure of ionizing radiation and noise was designed. By obtaining key information of the subject to be detected, multi-factor regression analysis was conducted, the cardiovascular risk score grading standards were constructed, and the cardiovascular risk of the subject to be detected under composite exposure conditions was evaluated.
The device can scientifically and accurately assess the cardiovascular health risks of staff under composite exposure of ionizing radiation and noise, helping to improve staff's health and work safety.
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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of cardiovascular risk assessment, and particularly to a cardiovascular risk assessment device for combined exposure to ionizing radiation and noise. Background Art
[0002] Workers in the nuclear industry may be simultaneously exposed to ionizing radiation and a noisy environment. Such combined exposure may have an adverse impact on the health of workers, especially increasing the risk of cardiovascular system diseases. Hypertension is a common cardiovascular disease, and long-term exposure to an adverse working environment may exacerbate its development.
[0003] Research results at home and abroad show that physical, chemical, and psychosocial factors in the occupational environment are related to the occurrence of cardiovascular system diseases. Research shows that ionizing radiation can affect the cardiovascular system, there is a positive correlation between ionizing radiation exposure and cardiovascular disease mortality, and the radiation dose is associated with the risk of cardiovascular disease death. Noise exposure can cause physiological and psychological stress responses in the human body, such as the activation of the autonomic nervous system and changes in hormone levels, and these responses may lead to an increase in blood pressure. The relationship between noise exposure and hypertension is considered to be related to multiple factors such as exposure time, intensity, individual differences, and cumulative noise exposure. The combined exposure to ionizing radiation and noise may have a synergistic or additive effect on human health, increasing the risk of cardiovascular diseases such as hypertension.
[0004] Health risk assessment of ionizing radiation: Existing technologies cover research on the impact of ionizing radiation on human health, including assessment methods for deterministic and stochastic effects, as well as epidemiological methods to study the relationship between the disease incidence rate and dose in exposed populations. Impact of ionizing radiation on the cardiovascular system: Research shows that there is an association between ionizing radiation exposure and cardiovascular diseases, especially that the increased risk of hypertension is significantly linearly correlated with the cumulative dose of ionizing radiation.
[0005] Relationship between noise exposure and hypertension: Existing research has explored the relationship between noise exposure and hypertension and found that noise can cause increased autonomic nerve excitation and glucocorticoid secretion, leading to an increase in blood pressure.
[0006] Occupational health risk assessment methods: In the field of occupational health, a variety of risk assessment methods have been applied, including the occupational hazard risk index method, the International Council on Mining and Metals (ICMM) model, and the hazardous operation grading method, etc. These methods can be used for noise risk assessment and consider the impact of noise on health risks.
[0007] Regarding the research field of the present invention, studies on the impact of ionizing radiation on the cardiovascular system and the correlation between noise exposure and hypertension have been carried out. At the same time, some studies have established occupational health risk assessment methods based on the impact of hazard factors on personnel health. However, these studies are all aimed at a single hazard factor and cannot reflect the combined effects of multiple hazard factors.
[0008] The above problems need to be solved urgently. Summary of the invention
[0009] The invention discloses a cardiovascular risk assessment device for combined exposure to ionizing radiation and noise, aiming to solve the technical problems existing in the prior art.
[0010] The present invention adopts the following technical solutions:
[0011] A cardiovascular risk assessment device for combined exposure to ionizing radiation and noise, comprising:
[0012] An acquisition module is used to acquire key information of multiple objects to be detected;
[0013] An analysis module, used for performing a multi-factor regression analysis on the key information of the multiple objects to be detected, and calculating the regression coefficients;
[0014] A standard building module for constructing a cardiovascular risk scoring grading standard using the environmental risk scoring method;
[0015] The evaluation module is used to compare the key information of the subject to be tested with the cardiovascular risk scoring grading standard to evaluate the cardiovascular risk of the subject to be tested under the combined exposure conditions of ionizing radiation and noise.
[0016] In one embodiment, the multiple subjects to be detected are divided into a hypertension group and a non-hypertension group, and key information of the multiple subjects to be detected is determined through difference analysis.
[0017] In one embodiment, the key information includes the length of service, noise exposure level and total radiation dose of the multiple subjects to be tested in their jobs.
[0018] In one embodiment, an environmental risk scoring method is used to construct a cardiovascular risk scoring grading standard, including:
[0019] Taking 10 times of the regression coefficient as the weight coefficient, the ERS scores of the exposure years, noise exposure levels, and total radiation doses of the multiple objects to be tested are obtained; the total ERS scores of the multiple objects to be tested are calculated by formula (1), thereby obtaining the ERS score ranges of the multiple objects to be tested;
[0020] ERS=∑P i =P Y +P A +PEp Formula (1)
[0021] In formula (1), P Y is the ERS score corresponding to the length of service exposed to hazards, P A is the ERS score corresponding to the noise exposure level, P Ep is the ERS score corresponding to the total radiation dose.
[0022] In one embodiment, based on the ERS score ranges of multiple objects to be detected, the optimal threshold and the upper and lower quartiles are calculated using the ROC curve, so as to obtain the corresponding relationship between the ERS score range and the risk level, and a cardiovascular risk score classification standard is constructed.
[0023] The present invention mainly provides a cardiovascular risk assessment device for combined exposure to ionizing radiation and noise, including: an acquisition module for acquiring key information of multiple objects to be detected; an analysis module for performing multivariate regression analysis on the key information of the multiple objects to be detected and calculating the regression coefficients; a standard construction module for constructing a cardiovascular risk score classification standard by using the environmental risk scoring method; and an evaluation module for evaluating the cardiovascular risk of the objects to be detected under the condition of combined exposure to ionizing radiation and noise by comparing the key information of the objects to be detected with the cardiovascular risk score classification standard. This assessment device can provide scientific and accurate cardiovascular health risk assessments for workers, helping to improve the health level and work safety of workers. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. These drawings form a part of the present invention, and the schematic embodiments of the present invention and their descriptions explain the present invention without unduly limiting the present invention. In the drawings:
[0025] Figure 1 is a schematic diagram of a cardiovascular risk assessment device for combined exposure to ionizing radiation and noise provided by an exemplary embodiment of the present invention.
[0026] Figure 2 is an ERS score chart provided by an exemplary embodiment of the present invention;
[0027] Figure 3 is an ROC curve chart provided by an exemplary embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0028] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and the corresponding drawings. In the description of the present invention, it should be noted that the term "or" is generally used in the sense of including "and / or" unless otherwise clearly specified in the content.
[0029] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a magnetic connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations. In addition, in the description of the present invention, the terms "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, or more, etc., unless otherwise clearly and specifically defined.
[0030] Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0031] To solve the problems existing in the prior art, an embodiment of the present invention provides a method and a device for assessing the cardiovascular risk of combined exposure to ionizing radiation and noise.
[0032] Figure 1 It is a schematic structural diagram of a device for assessing the cardiovascular risk of combined exposure to ionizing radiation and noise provided by an exemplary embodiment of the present invention. As Figure 1 shown, it includes:
[0033] An acquisition module 101, configured to acquire key information of a plurality of objects to be detected;
[0034] Specifically, taking the radioactive workers in representative units as the investigation objects, there are a total of 345 workers in the positions with combined exposure to radioactivity and noise. Taking these 345 radioactive workers as the detection objects, collect the age, gender, occupational health examination conclusions, exposure to occupational disease hazard factors, total radiation dose (personal total radiation dose), etc. of the 345 radioactive workers. Among them, the length of service exposed to hazards is represented by Y, the noise exposure level is represented by A, the noise exposure level calculates the equivalent continuous A-weighted sound pressure level for 8 hours according to the noise exposure level of the work position, and the total radiation dose level is represented by Ep. The total radiation dose level obtains the personal effective total dose of the workers since they engaged in radioactive work according to the personal dose file.
[0035] Length of service exposed to hazards: Evaluate the risk according to the number of years the worker has worked in a harmful environment. The length of service exposed to hazards is divided into 4 groups. The first group is those with a length of service exposed to hazards less than 7 years, the second group is those with a length of service exposed to hazards between 7 - 13 years, the third group is those with a length of service exposed to hazards between 13 - 22 years, and the fourth group is those with a length of service exposed to hazards greater than 22 years. The longer the length of service, the longer the exposure time, and the higher the score may be.
[0036] Noise exposure level: Score according to the noise level in the workplace. The equivalent continuous A-weighted sound pressure level for 8 hours is divided into three groups: less than 70, 70 - 80, and greater than 80. The higher the noise level, the greater the potential impact on hearing and health, and the higher the score.
[0037] Total radiation dose level: Score according to the cumulative dose of ionizing radiation received by an individual. The cumulative dose of ionizing radiation received by an individual is divided into four groups: less than 10 mSv, 10 - 15 mSv, 15 - 20 mSv, and greater than 20 mSv. The higher the dose, the greater the radiation risk, and the corresponding score increases.
[0038] In one embodiment, multiple objects to be detected are divided into a hypertension group and a non - hypertension group, so as to ensure that when determining the key information, the sample range is expanded, and the accuracy of data analysis is guaranteed.
[0039] In some preferred embodiments, for the length of service exposed to hazards Y, noise exposure level A, and total radiation dose Ep of the objects to be detected, through differential analysis, the P - values of the length of service exposed to hazards Y, noise exposure level A, and total radiation dose Ep are all < 0.05. Therefore, it is determined that the length of service exposed to hazards Y, noise exposure level A, and total radiation dose Ep are all risk factors for hypertension in occupational personnel and are used as key information for risk assessment.
[0040] The analysis module 102 is used to perform multivariate regression analysis on the key information of the multiple objects to be detected and calculate the regression coefficients;
[0041] The standard construction module 103 is used to construct a cardiovascular risk score grading standard by using the environmental risk scoring method;
[0042] An evaluation module 104 is configured to evaluate the cardiovascular risk of the object to be detected under the condition of combined exposure to ionizing radiation and noise by comparing the key information of the object to be detected with the cardiovascular risk scoring and grading criteria.
[0043] Preferably, different exposure working years, different noise exposure levels, and different radiation doses are analyzed as continuous variables. With the presence or absence of hypertension as the dependent variable, the exposure working years, noise exposure levels, and total radiation doses of the hypertension group and the non-hypertension group are respectively analyzed for differences. As shown in Table 1, significant data differences can be obtained for each influencing factor.
[0044] Table 1 Basic situation of the work positions of the objects to be detected
[0045] Variables Hypertension Non - hypertension P - value Number of people 230 115 Length of service exposed to hazards 0.003 <7 57 15 7-13 67 24 13-22 61 38 >22 49 41 8h equivalent sound level <0.001 <70 122 41 70-80 65 46 >80 10 16 Radiation dose mSv <0.001 <10 106 24 10-15 40 20 15-20 20 14 >20 38 35
[0046] Preferably, as shown in Table 1, the P-value in Table 1 is a parameter used to determine the result of the hypothesis test. The smaller the P-value, the more significant the result. Among them, the P-values are all less than 0.05. It can be seen from Table 1 that the exposure working years, noise exposure levels, and total radiation doses can be used as key information for risk assessment.
[0047] Preferably, a multi-factor logistic regression analysis is performed on the exposure working years, noise exposure levels, and total radiation doses. As shown in Table 2, the P-value < 0.05, further determining that the exposure working years, noise exposure levels, and total radiation doses are influencing factors leading to cardiovascular risk, can be used as key information for risk assessment, and the regression coefficient β is calculated.
[0048] Table 2 Results of multi-factor logistic regression analysis
[0049]
[0050]
[0051] In one embodiment, an environmental risk scoring method is adopted to construct a cardiovascular risk scoring and grading criteria. Taking 10 times the regression coefficient β as the ERS score, the ERS scores of the exposure working years, noise exposure levels, and total radiation doses of multiple objects to be detected are obtained.
[0052] Table 3 ERS scores of each influencing factor
[0053]
[0054] As can be seen from Table 3, according to the actual measurement or evaluation data of the exposure years, noise exposure level, and total radiation dose of the object to be detected, the ERS scores of each influencing factor provided in Table 3 are compared. For example, the 8-hour equivalent sound level of the noise exposure level of the detected object is 76.8 dB(A). According to the parameters listed in Table 3, the score PA of the noise exposure level is 4.7. The total ERS scores of multiple objects to be detected are calculated by formula (1), so as to obtain the ERS score range of multiple objects to be detected. The ERS score range is 0 - 35.4;
[0055] ERS = ∑P i = P Y + P A + P Ep Formula (1)
[0056] In formula (1), P Y is the ERS score corresponding to the exposure years; P A is the ERS score corresponding to the noise exposure level; P Ep is the ERS score corresponding to the total radiation dose.
[0057] In some preferred embodiments, based on the ERS score range of multiple objects to be detected, the best threshold and the upper and lower quartiles are calculated using the ROC curve, so as to obtain the corresponding relationship between the ERS score range and the risk level, and a cardiovascular risk score classification standard is constructed.
[0058] Preferably, the best threshold calculated using the ROC curve is 16.8, and the upper and lower quartiles are calculated to be 24.2 and 6.7 respectively. From this, the corresponding relationship between the ERS score range and the risk level is obtained (see Table 4).
[0059] Table 4 Corresponding relationship between ERS score range and risk level
[0060]
[0061]
[0062] In some preferred embodiments, Figure 2 is the ERS score chart provided by an exemplary embodiment of the present invention. As Figure 2 shown, the ERS scores of the hypertensive population are significantly higher than those of the population without hypertension; Figure 3 is the ROC curve chart provided by an exemplary embodiment of the present invention; As Figure 3As shown, through ROC curve analysis, the accuracy of using the ERS score as an indicator to distinguish hypertensive from non-hypertensive populations is statistically significant. The area under the ROC curve (AUC) is 0.669 (95% confidence interval from 0.609 to 0.728), indicating that the ERS score has a certain predictive value in predicting the occurrence of hypertension. Therefore, based on the ERS score results of multiple subjects to be tested and the risk classification criteria, the cardiovascular risk of the subjects to be tested under combined exposure to ionizing radiation and noise can be evaluated.
[0063] Preferably, by calculating the ERS score results of multiple subjects to be tested and referring to the risk classification criteria in Table 4, the cardiovascular health risks of personnel in positions with combined exposure to ionizing radiation and noise can be evaluated.
[0064] In the embodiment of the present invention, radioactive workers in a representative unit are selected as the survey subjects. There are a total of 345 workers in the positions with combined exposure to radioactivity and noise in this unit, and these 345 radioactive workers are used as the survey subjects.
[0065] Obtaining the data of 345 radioactive workers includes age, gender, occupational health examination conclusions, exposure to occupational disease hazard factors, personal effective total dose, etc. Among the 345 radioactive workers, 115 people had hypertension, and 230 people did not have hypertension. The distribution of the harmful exposure working years, noise exposure level, and personal total radiation dose of the radioactive workers.
[0066] Preferably, according to the harmful exposure working years, noise exposure level, and total radiation dose level of each research subject, referring to the parameters of each sub-item in Table 3, the ERS score of each sub-item is determined. The ERS score of each survey subject is the sum of the scores of each sub-item of the harmful exposure working years, noise exposure level, and personal total radiation dose level.
[0067] Using the obtained ERS score and referring to the risk classification criteria, the risk of hypertension of personnel in positions with combined exposure to ionizing radiation and noise can be determined. According to the obtained classification results, among the 345 radioactive workers with combined exposure to noise and ionizing radiation, a total of 97 people have a high-risk level of hypertension. Among them, 48 people were found to have hypertension symptoms in the physical examination results, accounting for 49.48%.
[0068] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the spirit and scope protected by the claims of the present invention, and all belong to the protection scope of the present invention.
Claims
1. A cardiovascular risk assessment device for combined exposure to ionizing radiation and noise, characterized in that: include: An acquisition module is used to acquire key information of multiple objects to be detected; An analysis module, used for performing a multi-factor regression analysis on the key information of the multiple objects to be detected, and calculating the regression coefficients; A standard building module for constructing a cardiovascular risk scoring grading standard using the environmental risk scoring method; The evaluation module is used to compare the key information of the subject to be tested with the cardiovascular risk scoring grading standard to evaluate the cardiovascular risk of the subject to be tested under the combined exposure conditions of ionizing radiation and noise.
2. The cardiovascular risk assessment device for combined exposure to ionizing radiation and noise according to claim 1, characterized in that: The multiple subjects to be detected are divided into a hypertension group and a non-hypertension group, and key information of the multiple subjects to be detected is determined through difference analysis.
3. The cardiovascular risk assessment device for combined exposure to ionizing radiation and noise according to claim 2, characterized in that: The key information includes the length of service, noise exposure level and total radiation dose of multiple subjects in their jobs.
4. The cardiovascular risk assessment device for combined exposure to ionizing radiation and noise according to claim 3, characterized in that: The environmental risk scoring method was used to construct a cardiovascular risk scoring grading standard, including: Taking 10 times of the regression coefficient as the weight coefficient, the ERS scores of the exposure years, noise exposure levels, and total radiation doses of the multiple objects to be tested are obtained; the total ERS scores of the multiple objects to be tested are calculated by formula (1), thereby obtaining the ERS score ranges of the multiple objects to be tested; ERS=∑P i =P Y +P A +P Ep Formula (1); In formula (1), P Y is the ERS score corresponding to the length of service, P A is the ERS score corresponding to the noise level, P Ep is the ERS score corresponding to the total radiation dose.
5. The cardiovascular risk assessment device for combined exposure to ionizing radiation and noise according to claim 4, characterized in that: Based on the ERS score range of multiple subjects to be tested, the ROC curve was used to calculate the optimal threshold and upper and lower quartiles, thereby obtaining the correspondence between the ERS score range and the risk level, and constructing a cardiovascular risk score grading standard.