Apparatus, method, and program

Abstract

To alleviate the burden imposed on healthcare workers in operating a purification apparatus.SOLUTION: An apparatus comprising an acquisition unit configured to acquire information (a) regarding a patient's original body cavity fluid and information (c) regarding a target concentrated body cavity fluid, and an estimation unit configured to estimate a concentration condition (f) in body cavity fluid treatment for producing the concentrated body cavity fluid by concentrating the original body cavity fluid, based on the information acquired by the acquisition unit.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an apparatus, a method, and a program. [Background technology]

[0002] One treatment for ascites, a type of body cavity fluid, is cell-free and concentrated ascites reinfusion therapy, in which the ascites is extracted from the patient, pathogenic substances such as bacteria and cancer cells are removed from the ascites, the fluid is concentrated while leaving useful components such as albumin, and the concentrated fluid is then returned to the body.

[0003] In such treatments, a body cavity fluid treatment system is generally used (see Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2019-13492 Summary of the Invention [Problem to be solved by the invention]

[0005] However, it is not easy to appropriately control the body cavity fluid treatment system depending on the patient's condition, which places a burden on medical personnel.

[0006] The present invention has been made in consideration of the above problems, and aims to reduce the burden on medical personnel who operate purification devices. [Means for solving the problem]

[0007] That is, the present invention is as follows. [1] an acquisition unit that acquires information a about the patient's coelomic fluid and information c about the target concentrated coelomic fluid; an estimation unit that estimates, from the information acquired by the acquisition unit, a concentration condition f in body cavity fluid processing for concentrating the original body cavity fluid to obtain concentrated body cavity fluid; An apparatus comprising: [2] The information a includes information regarding the amount of the coelomic fluid and the components contained in the coelomic fluid. The device described in [1]. [3] the information regarding the components contained in the coelomic fluid includes information regarding total protein concentration; The device described in [2]. [4] The information c includes the desired amount of the concentrated coelomic fluid. The device described in any one of [1] to [3]. [5] The acquisition unit further acquires information b regarding the patient's disease. The device described in any one of [1] to [4]. [6] The information about the patient's disease includes information about the patient's medical history. The device described in [5]. [7] The concentration condition f includes a recommended flow rate when concentrating the coelomic fluid. The device described in any one of [1] to [6]. [8] The estimation unit estimates a filtration condition e in the body cavity fluid treatment. 10. The apparatus of claim 1. The device described in any one of [1] to [7]. [9] The filtration condition e includes a recommended flow rate when filtering the coelomic fluid. The device described in [8].

[10] The estimation unit estimates a concentration condition f of the coelomic fluid using a model created based on learning data. The device described in any one of [1] to [9].

[11] is a server, A transmission unit that transmits the concentration condition f to a terminal used by a user who operates the purification device that performs the body cavity fluid treatment is further provided. The device described in any one of [1] to

[10] .

[12] a terminal used by a user to operate the purification device that performs the body cavity fluid treatment, Further provided is a display control unit that controls the display of the concentration condition f. The device described in any one of [1] to

[10] .

[13] The device, an acquisition step of acquiring information a regarding the patient's coelomic fluid and information c regarding the target concentrated coelomic fluid; and estimating, based on the acquired information, a concentration condition f in the body cavity fluid treatment for concentrating the original body cavity fluid to obtain concentrated body cavity fluid. method.

[14] To the device, an acquisition step of acquiring information a regarding the patient's coelomic fluid and information c regarding the target concentrated coelomic fluid; and an estimation step of estimating, from the acquired information, a concentration condition f in the body cavity fluid treatment for concentrating the original body cavity fluid to obtain concentrated body cavity fluid. program. [Effects of the Invention]

[0008] According to the present invention, the burden on medical personnel who handle the purification device can be reduced. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a schematic diagram showing an example of a body cavity fluid treatment system. [Figure 2A] 1 is a schematic diagram showing an apparatus 200 according to a first embodiment. [Figure 2B] FIG. 2 is a schematic diagram showing an apparatus 200 according to a second embodiment. [Figure 2C] FIG. 10 is a schematic diagram showing an apparatus 200 according to a third embodiment. [Figure 2D]FIG. 10 is a schematic diagram showing an apparatus 200 according to a fourth embodiment. [Figure 3] FIG. 2 is a block diagram showing an example of the functional configuration of the device 200 according to the first embodiment. [Figure 4A] FIG. 10 is a diagram showing an example of data of information a. [Figure 4B] FIG. 10 is a diagram showing an example of data of information b. [Figure 4C] FIG. 10 is a diagram showing an example of data of information c. [Figure 4D] FIG. 10 is a diagram showing an example of accumulated data on operating conditions for each body cavity fluid treatment. [Figure 4E] FIG. 10 is a diagram showing an example of a model for estimating a concentration condition f. [Figure 4F] FIG. 10 is a diagram showing an example of a model for estimating a concentration condition f. [Figure 5A] FIG. 2 is a diagram illustrating an example of a processing sequence according to the first embodiment. [Figure 5B] FIG. 10 is a diagram illustrating an example of a processing sequence according to the second embodiment. [Figure 5C] FIG. 11 is a diagram illustrating an example of a processing sequence according to a third embodiment. [Figure 6A] FIG. 1 is a graph showing the difference in concentration rate depending on concentration conditions in the treatment of ascites from a patient with cirrhosis. [Figure 6B] FIG. 1 shows the difference in concentration rate depending on concentration conditions in the treatment of leaky ascites from a cancer patient. DETAILED DESCRIPTION OF THE INVENTION

[0010] Below, we will explain in detail the embodiment of the present invention (hereinafter referred to as the ``present embodiment''), but the present invention is not limited to this and various modifications are possible within the scope of the gist of the present invention.

[0011] 1. Body cavity fluid treatment system First, an overview of the body cavity fluid treatment system will be given. Figure 1 is a schematic diagram showing the configuration of a body cavity fluid treatment system 100 according to this embodiment. The body cavity fluid treatment system 100 is also sometimes called a purification device.

[0012] In this embodiment, "body cavity fluid processing" may include a filtration process for filtering body cavity fluid and a concentration process for concentrating the filtered body cavity fluid. Below, a body cavity fluid processing system 100 capable of performing both the filtration process and the concentration process will be described. However, the body cavity fluid processing system 100 is not limited to the following, and may be configured to perform only the concentration process of the concentration and filtration processes. Body cavity fluid includes, for example, ascites.

[0013] The body cavity fluid treatment system 100 includes a body cavity fluid bag 110 as a body cavity fluid storage section, a filter 111, a concentrator 112, a concentrated body cavity fluid bag 113 as a concentrated body cavity fluid storage section, a first fluid supply line 114, a drainage line 115, a second fluid supply line 116, a third fluid supply line 117, a fourth fluid supply line 118, a fluid supply means 119, a control device 120, an input / output interface 121, etc.

[0014] The body cavity fluid bag 110 is, for example, a flexible bag, and can store body cavity fluid collected from a patient. The body cavity fluid bag 110 may be exchangeably connected to the fluid supply line 114 during body cavity fluid processing. This allows body cavity fluid processing to continue while exchanging body cavity fluid bags 110, even when multiple body cavity fluid bags 110 have been collected from a single patient.

[0015] The filter 111 has, for example, a cylindrical housing equipped with a filtration membrane. The filter 111 can separate the body cavity fluid supplied from the body cavity fluid bag 110 into a filtrate that has passed through the filtration membrane and a residual liquid that has not passed through the filtration membrane. The filtration membrane may be a hollow fiber membrane or the like. This filtration membrane can remove certain pathogenic substances such as bacteria and cancer cells, while allowing certain useful components such as albumin to pass through. By using such a filter 111, it is possible to obtain body cavity fluid from which certain pathogenic substances such as bacteria and cancer cells have been removed as filtrate.

[0016] 1, the filter 111 may have liquid passage ports 111a and 111b at both ends in the longitudinal direction (vertical direction) and may have liquid passage port 111c on the side surface. The inner region of the filtration membrane (the internal region of the hollow fiber membrane) may communicate with the liquid passage ports 111a and 111b, and the outer region of the filtration membrane (the external region of the hollow fiber membrane) may communicate with the liquid passage port 111c.

[0017] The concentrator 112 has, for example, a cylindrical housing equipped with a concentration membrane. The concentrator 112 can separate the body cavity fluid supplied from the filter 111 into water that has passed through the concentration membrane and a concentrated liquid that has not passed through the concentration membrane. The concentration membrane may be a hollow fiber membrane or the like. By using such a concentrator 112, for example, excess water from the body cavity fluid can be removed, thereby concentrating the body cavity fluid.

[0018] 1, concentrator 112 has liquid passages 112a and 112b at both ends in the longitudinal direction (vertical direction) and may have liquid passage 112c on the side surface. The inner region of the concentration membrane (the internal region of the hollow fiber membrane) communicates with liquid passages 112a and 112b, and the outer region of the concentration membrane (the external region of the hollow fiber membrane) communicates with liquid passage 112c.

[0019] Concentrated body cavity fluid bag 113 is, for example, a flexible bag, and can store concentrated body cavity fluid concentrated in concentrator 112. Concentrated body cavity fluid bag 113 may be replaceably connected to third fluid supply line 117 during body cavity fluid treatment. This allows concentrated body cavity fluid bag 113 to be replaced when it becomes full, and body cavity fluid treatment to continue.

[0020] The first fluid supply line 114 is connected to the coelom fluid bag 110 and the filter 111. The upstream end of the first fluid supply line 114 is connected to the coelom fluid bag 110, and the downstream end of the first fluid supply line 114 is connected to the fluid passage 111a of the filter 111. In this specification, the "upstream side" refers to the upstream side when the coelom fluid flows through the filter 111 and the concentrator 112 in this order. The drainage line 115 is connected to the fluid passage 111b of the filter 111.

[0021] The second liquid transfer line 116 is connected to the filter 111 and the concentrator 112. The upstream end of the second liquid transfer line 116 is connected to the liquid passage port 111d of the filter 111, and the downstream end of the second liquid transfer line 116 is connected to the liquid passage port 112b of the concentrator 112.

[0022] The third liquid supply line 117 is connected to the concentrator 112 and the concentrated body cavity fluid bag 113. The upstream end of the third liquid supply line 117 is connected to the liquid passage 112a of the concentrator 112, and the downstream end of the third liquid supply line 117 is connected to the concentrated body cavity fluid bag 113.

[0023] The fourth liquid transfer line 118 is connected to an external drainage part from the concentrator 112. The upstream end of the fourth liquid transfer line 118 is connected to the liquid passage port 112c of the concentrator 112. Note that the lines 114 to 118 may be made of, for example, flexible tubes.

[0024] The fluid delivery means 119 has the function of delivering the body cavity fluid from the original body cavity fluid bag 110 to the concentrated body cavity fluid bag 113 through the first fluid delivery line 114, the filter 111, the second fluid delivery line 116, the concentrator 112 and the third fluid delivery line 117.

[0025] For example, the fluid delivery means 119 may have a first pump 119a provided in the first fluid delivery line 114, a second pump 119b provided in the second fluid delivery line 116, and a third pump 119c provided in the third fluid delivery line 117. Here, the pump may be a tube pump capable of pumping body cavity fluid.

[0026] Furthermore, the liquid delivery means 119 may be a clip that can adjust the flow rate by compressing the liquid delivery line, instead of a pump. Such a clip can be used as a free-fall type liquid infusion means.

[0027] Both a pump and a clip may be used as the liquid delivery means 119. When both the pump and the clip are stopped, each liquid delivery line may be closed.

[0028] The control device 120 controls, for example, the fluid delivery means 119, etc., and can perform body cavity fluid treatment by the body cavity fluid treatment system 100. The control device 120 may be, for example, a computer having a CPU, memory, etc.

[0029] The input / output interface 121 can receive input of body cavity fluid treatment conditions by the user and can display the progress of body cavity fluid treatment, etc. The input / output interface 121 may be an integrated input / output device such as a touch panel, or may include a keyboard or other input device and a display device.

[0030] 2. Equipment Next, the device of this embodiment will be described. The device of this embodiment includes an acquisition unit that acquires at least one of information a about the body cavity fluid of a patient and information b about the patient's disease, and an estimation unit that estimates, from the information acquired by the acquisition unit, a concentration condition f in body cavity fluid processing for concentrating the body cavity fluid to obtain concentrated body cavity fluid.

[0031] This allows the medical staff to be provided with the concentration condition f that is appropriate for the patient's condition, thereby reducing the burden on the medical staff (user) who operates the purification device.

[0032] 2A to 2D show an example of an embodiment of the device 200 of this embodiment. For example, as shown in FIG. 2A, the device 200 of this embodiment may be included in a terminal 200a that is independent of the body cavity fluid treatment system 100. The terminal 200a may be a terminal used by a user. The "terminal" referred to here may be a desktop, laptop, tablet, smartphone, handheld computing device, wearable terminal, etc.

[0033] 2B, the device 200 of this embodiment may be included in a server 200b that is independent of the body cavity fluid treatment system 100. A user can operate the terminal 200a to send various information to the server 200b and receive various information from the server 200b.

[0034] 2C, the device 200 of this embodiment may be included in a server 200b connected to the body cavity fluid treatment system 100 via a network N. The body cavity fluid treatment system 100 may be configured to function as a substitute for the terminal 200a. In this case, a user can operate the body cavity fluid treatment system 100 instead of the terminal 200a to send various information to the server 200b and receive various information from the server 200b.

[0035] As shown in FIG. 2D, the device 200 of this embodiment may be incorporated into a body cavity fluid treatment system 100.

[0036] 2.1. First embodiment As a first embodiment, an aspect will be described in which the device 200 of this embodiment is included in a terminal 200a independent of the body cavity fluid treatment system 100 (FIG. 2A). In the first embodiment, a user can input information a and information c to the terminal 200a and obtain concentration condition f from the terminal 200a.

[0037] This allows the terminal 200a to estimate the concentration condition f without using the server 200b, etc. Therefore, even when the terminal 200a cannot connect to the server 200b, for example, in a place where a network connection is unavailable or in a place where the network connection is cut off, such as in a hospital, the device 200 of this embodiment can be used.

[0038] The user may input the concentration condition f, which is displayed and controlled on the terminal 200a, to the body cavity fluid treatment system 100. Furthermore, if the terminal 200a and the body cavity fluid treatment system 100 are connected via a network N, the user may transmit the concentration condition f estimated by the terminal 200a to the body cavity fluid treatment system 100 via the network N.

[0039] 2.1.1. Hardware Configuration 3, the hardware configuration of the device 200 will be described. The device 200 includes, for example, a processor 210, a communication interface 220, an input / output interface 230, a memory 240, a storage 250, and one or more communication buses 260 for interconnecting these components.

[0040] The processor 210 executes programs stored in the storage 250 to realize various functions described below. For example, the processor 210 may be configured to function as a transceiver 211, an acquisition unit 212, an estimation unit 213, a display control unit 214, and a learning unit 215 described below by executing programs stored in the storage 250. The processor 210 may include, for example and without limitation, one or more central processing units (CPUs), microprocessing units (MPUs), graphics processing units (GPUs), microprocessors, processor cores, multiprocessors, application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), etc., and may realize the processes, functions, or methods disclosed in each embodiment by a logic circuit (hardware) or a dedicated circuit formed in an integrated circuit (IC (Integrated Circuit) chip, LSI (Large Scale Integration)), etc.

[0041] The communication interface 220 transmits and receives various data to and from other devices via a network. The communication may be performed either wired or wirelessly, and any communication protocol may be used as long as mutual communication is possible. For example, the communication interface 220 may be implemented as hardware such as a network adapter, various communication software, or a combination of these. Note that if there is no need to communicate with other devices via a network, the device 200 may not have a communication interface.

[0042] A network may be, by way of example and not limitation, an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), a portion of the Internet, a portion of the public switched telephone network (PSTN), a cellular network, Integrated Service Digital Networks (ISDNs), wireless LANs, Long Term Evolution (LTE), Code Division Multiple Access (CDMA), Bluetooth, satellite communications, or any combination thereof. A network may include one or more networks.

[0043] The input / output interface 230 includes an input device for inputting various operations to the device 200, and an output device for outputting processing results processed by the device 200. For example, the input / output interface 230 includes information input devices such as a keyboard, a mouse, and a touch panel, and information output devices such as a display. Note that the device 200 may receive a predetermined input or execute a predetermined output by connecting an external input / output interface 230.

[0044] The memory 240 temporarily stores programs loaded from the storage 250 and provides a working area for the processor 210. The memory 240 also temporarily stores various data generated while the processor 210 is executing the programs. The memory 240 may be, for example, a high-speed random access memory such as a DRAM, an SRAM, a DDR RAM, or another random access solid-state storage device, or a combination of these.

[0045] Storage 250 stores programs, functional units, and various data. Storage 250 may be, for example, one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or nonvolatile memories such as other nonvolatile solid-state storage devices, or a combination thereof. Another example of storage 250 may be one or more storage devices installed remotely from processor 210.

[0046] An operating system, for example, handles various basic system services and includes procedures for performing tasks with the hardware.

[0047] The transmitting / receiving unit 211 may function, for example, as a transmitting unit that transmits various types of information to other devices or as a receiving unit that receives various types of information from other devices via the communication interface 220 and the network N. Note that, for example, as in the form of Fig. 2A, if there is no need to transmit and receive various types of information via the network N, the transmitting / receiving unit 211 may not be provided.

[0048] 2.1.1.1. Acquisition part The acquisition unit 212 acquires information a about the patient's original coelomic fluid and information c about the target concentrated coelomic fluid. Furthermore, the acquisition unit 212 may further acquire information b about the patient's disease, as necessary.

[0049] The acquiring unit 212 may acquire these pieces of information a to c through, for example, user input via an input / output interface. Note that if the device 200 is connected to a network N, the acquiring unit 212 may acquire these pieces of information a to c from another device via the network N. For example, the acquiring unit 212 may acquire information a about the patient's coelomic fluid from a coelomic fluid testing device or any storage device in which the information a is stored, via the network N. Furthermore, the acquiring unit 212 may acquire information b about the patient's disease from any storage device in which the information b is stored, such as an electronic medical record, via the network N.

[0050] The acquiring unit 212 may also store the acquired information a to c in various databases. The estimating unit 213, which will be described later, may use the information a to d stored in the various databases.

[0051] Furthermore, the acquisition unit 212 may store the concentration condition f output by the estimation unit 213, which will be described later, in various databases. At this time, each piece of information may be stored in association with an ID for uniquely identifying the operation.

[0052] Information a is information about the patient's coelomic fluid. Such information a may include information about the amount of coelomic fluid and the components contained in the coelomic fluid. FIG. 4A shows an example of data 251 about information a. Upon acquiring information a, the acquisition unit 212 may store information a in a database such as that shown in FIG. 4A.

[0053] In data 251 relating to information a, "coelomic fluid ID" is an ID for uniquely identifying the coelomic fluid of the patient. Also, "patient ID" is an ID for uniquely identifying the patient from whom the coelomic fluid was obtained. Also, "collection date" is information indicating the collection date of the coelomic fluid. "Amount of coelomic fluid" is information indicating the amount of coelomic fluid collected. "Components contained in coelomic fluid" is information indicating the values ​​of the components contained in the collected coelomic fluid.

[0054] Information indicating the components contained in the coelomic fluid is not particularly limited, but may include, for example, total protein (TP). Total protein (TP) is an index of concentration. The unit of total protein (TP) is, for example, g / dL.

[0055] In addition, information a may also include information regarding the classification of body cavity fluid, i.e., whether the body cavity fluid is an exudate or a transudate. Exudates have a higher total protein concentration than transudates. Furthermore, instead of or in addition to the information regarding the classification of body cavity fluid, i.e., whether the body cavity fluid is an exudate or a transudate, information a may also include information regarding the appearance (degree of turbidity or color) of the body cavity fluid, i.e., whether the appearance is cloudy (exudate-like) or clear to yellow (transudate-like).

[0056] Information about the appearance of the body cavity fluid may be referenced as information for estimating the components contained in the body cavity fluid. For example, when the body cavity fluid is highly turbid or reddish in color, the total protein concentration tends to be high. The acquisition unit 212 may acquire such information about the appearance of the body cavity fluid from a user input via the input / output interface 230, such as a touch panel, or may acquire image data of the appearance of the body cavity fluid as information a using an imaging device connected to the device 200 via a network. For example, the input / output interface 230 may display options (e.g., "high," "medium," and "low") that represent multiple levels of turbidity, and the acquisition unit 212 may acquire information about the appearance of the body cavity fluid by accepting a selection from the user. The options may be characters or colors. Alternatively, the user may input characters or the like corresponding to the options without displaying the options.

[0057] Information b is information about the patient's disease. Such information b may include information about the patient's medical history. Information about the patient's medical history indicates, for example, the name of the disease the patient is currently suffering from. For example, when comparing cirrhosis with cancer, the total protein concentration tends to be lower in the case of cirrhosis. Figure 4B shows an example of data 252 about information b. When acquiring information b, the acquisition unit 212 may store information b in a database such as that shown in Figure 4B.

[0058] In data 252 relating to information b, "patient ID" is an ID for uniquely identifying the patient of the body cavity fluid. Furthermore, "medical history" is information regarding the name of the disease the patient is suffering from. "treatment history" may include past treatment history using the body cavity fluid treatment system as well as past treatment history outside of the body cavity fluid treatment system. Furthermore, data 252 relating to information b may include the "operating conditions" of the device. Here, "operating conditions" may be either concentration conditions or filtration conditions, or both. Furthermore, the concentration conditions and filtration conditions may include flow rate information.

[0059] The information c may include a target amount of concentrated body cavity fluid. Fig. 4C shows an example of data 253 related to the information c. Upon acquiring the information c, the acquisition unit 212 may store the information c in a database such as that shown in Fig. 4C.

[0060] In data 253 relating to information c, the "target body cavity fluid ID" is an ID for uniquely identifying the conditions of the target concentrated body cavity fluid. Also, the "target body cavity fluid amount" is information indicating the amount of the target concentrated body cavity fluid.

[0061] 2.1.1.2. Estimation part The estimation unit 213 estimates concentration conditions f in body cavity fluid processing for concentrating body cavity fluid to obtain concentrated body cavity fluid, from the information acquired by the acquisition unit 212. For example, the estimation unit 213 estimates concentration conditions f based on information a about the patient's body cavity fluid and information c about the target concentrated body cavity fluid.

[0062] Here, the concentration conditions f are concentration conditions in the coelomic fluid treatment for concentrating the coelomic fluid to obtain concentrated coelomic fluid. Such concentration conditions f may include information regarding the recommended flow rate in the concentrator when concentrating the coelomic fluid. The recommended flow rate is expressed in units of, for example, ml / min.

[0063] The recommended flow rate for concentrating the coelomic fluid may be a specific value or a certain range of values.

[0064] The estimation process of the estimation unit 213 may be performed using a model. For example, the estimation unit 213 may estimate the concentration condition f of the coelomic fluid using a model created based on learning data. The estimation unit 213 performs the estimation using, for example, a trained model stored in the memory 240 or the storage 250. Figures 4F to 4H show examples of combinations of inputs and outputs of the trained model used when the estimation unit 213 estimates the concentration condition f based on information a and information c.

[0065] FIG. 4I illustrates an embodiment in which a trained model is used to estimate concentration condition f based on information a and information c. As an example of this trained model, for example, the correlation between the total protein concentration of the coelomic fluid and the concentration ratio shown in FIG. 6A can be utilized to estimate a recommended flow rate (concentration condition f) based on the target concentrated coelomic fluid volume (information c), the coelomic fluid volume (information a), and the total protein concentration of the coelomic fluid (information a). Because the combination of the target concentrated coelomic fluid volume (information c) and the coelomic fluid volume (information a) indicates the concentration ratio, the trained model shown in FIG. 4I can estimate a recommended flow rate. The trained model shown in FIG. 4I may also estimate whether a processing flow rate of 50 mL / min or 100 mL / min should be selected as concentration condition f, or whether an intermediate value, a value lower than 50 mL / min, or a value higher than 100 mL / min should be selected. Details of FIG. 6A will be described later.

[0066] FIG. 4K illustrates an example in which a trained model is used to estimate concentration condition f based on information a, information b, and information c. As an example, referring to FIGS. 6A and 6B, the tendency of body cavity fluid concentration in a patient with cirrhosis (FIG. 6A) does not necessarily coincide with the tendency of body cavity fluid concentration in a patient with cancer (FIG. 6B). Specifically, in FIG. 6B, a concentration rate of 50 mL / min results in a higher concentration ratio than a concentration rate of 100 mL / min. Thus, the trained model shown in FIG. 4K may estimate a recommended flow rate (condition f) that is appropriate for the patient's medical history, for example, based on the volume of body cavity fluid and the total protein concentration of the body cavity fluid (information a), information about the patient's medical history (information b), and the desired amount of concentrated body cavity fluid (information c).

[0067] Figure 6A shows the difference in concentration ratio depending on the concentration conditions in the treatment of ascites from a patient with cirrhosis. Figure 6A is a graph in which the horizontal axis represents the total protein concentration (TP) of the ascites before concentration and the vertical axis represents the concentration ratio of the ascites after concentration. Figure 6A compares a logarithmic approximation curve (solid line) calculated from actual data when the concentration rate is 50 mL / min with a logarithmic approximation curve (dashed line) calculated from actual data when the concentration rate is 100 mL / min. Here, the "concentration rate" refers to the flow rate passing through the concentrator 112.

[0068] If the concentration ratio were proportional to the concentration rate (or concentration pressure), the logarithmic approximation curve for a concentration rate of 50 mL / min (solid line) and the logarithmic approximation curve for a concentration rate of 100 mL / min (dashed line) would not intersect and would be approximately parallel. However, in Figure 6A, they are not parallel, and a significant difference in trend is observed between the logarithmic approximation curve for a concentration rate of 50 mL / min (solid line) and the logarithmic approximation curve for a concentration rate of 100 mL / min (dashed line). Furthermore, this suggests that the concentration ratio may be higher at a concentration rate of 50 mL / min than at a concentration rate of 100 mL / min.

[0069] Figure 6B also shows the difference in concentration ratio depending on the concentration conditions when treating leaky ascites from a cancer patient. Figure 6B is a graph in which the horizontal axis represents the total protein concentration (TP) of the ascites before concentration and the vertical axis represents the concentration ratio of the ascites after concentration. Figure 6B compares the logarithmic approximation curve (solid line) calculated from actual data when the concentration rate was 50 mL / min with the logarithmic approximation curve (dashed line) calculated from actual data when the concentration rate was 100 mL / min.

[0070] In Figure 6B, the logarithmic approximation curve for a concentration rate of 50 mL / min (solid line) and the logarithmic approximation curve for a concentration rate of 100 mL / min (dashed line) are not parallel, and a significant difference in trend is observed. Furthermore, if the concentration ratio is proportional to the concentration rate (or concentration pressure), one would expect the logarithmic approximation curve for a concentration rate of 100 mL / min (dashed line) to be higher than the logarithmic approximation curve for a concentration rate of 50 mL / min (solid line). However, Figure 6B shows that the concentration ratio is higher at a concentration rate of 50 mL / min than at a concentration rate of 100 mL / min.

[0071] The estimation unit 213 may estimate the filtration condition e instead of or in addition to the concentration condition f. That is, the estimation unit 213 estimates the filtration condition e based on the input of the trained model described above. Note that, since the flow rate of the filter when performing the filtration and concentration process is the same as the flow rate of the concentrator, the estimation unit 213 can estimate the filtration condition e based on the input of the trained model described above.

[0072] Here, the filtration condition e may include a recommended flow rate when filtering the coelomic fluid. The recommended flow rate when filtering the coelomic fluid may be a specific value or a certain range of values.

[0073] Figure 4D shows an example of data 255 that stores operating conditions for each body cavity fluid treatment. "Operation ID" is an ID for uniquely identifying the operation for body cavity fluid treatment. "Patient ID" is an ID for uniquely identifying the patient with body cavity fluid. "Body cavity fluid ID" is an ID for uniquely identifying the body cavity fluid of the patient. "Target body cavity fluid ID" is an ID for uniquely identifying the conditions for the desired concentrated body cavity fluid. "Device ID" is an ID for uniquely identifying the purification device equipped with a specified unit. Furthermore, when the acquisition unit 212 acquires the filtration conditions and concentration conditions that were actually used, the acquisition unit 212 may store the filtration conditions and concentration conditions in a database such as that shown in Figure 4D.

[0074] The estimation unit 213 may switch between the models shown in Figures 4E to 4F depending on the input information. For example, when information a and information c are input values, the estimation unit 213 can use the model shown in Figure 4E. When information a, b, and c are input values, the estimation unit 213 can use the model shown in Figure 4F.

[0075] Display control section The terminal 200a, which is the device 200, may further include a display control unit 214 that controls the display of the concentration condition f. The display control unit 214 may also control the display of the filtration condition e.

[0076] In the first embodiment, the user inputs the operating conditions into the input / output interface 121 of the body cavity fluid treatment system 100 based on the concentration conditions f and the like that are displayed and controlled on the terminal 200a.

[0077] 2.1.1.4. Learning section The device 200 of this embodiment may further include a learning unit 215. The learning unit 215 may collect learning data 256 and create a model based on the learning data 256. Using the model thus obtained, the estimation unit 213 may estimate the concentration condition f of the coelomic fluid.

[0078] The training data 256 may include information A about the coelomic fluid when the test is performed on the coelomic fluid of multiple patients, information C about the concentrated coelomic fluid obtained, and the concentration conditions F for the coelomic fluid. The training data 256 may further include information B about the disease and / or the filtration conditions E for the coelomic fluid.

[0079] Such information may be obtained from data that accumulates operating conditions for each body cavity fluid treatment, such as data 255. Furthermore, information can also be obtained from other data associated with each ID stored in data 255.

[0080] 4E to 4F show examples of combinations of inputs and outputs of the trained models of each model. The combinations of inputs and outputs in FIGS. 4E to 4F may correspond to combinations of training data used to create each model. In this sense, FIGS. 4E to 4F can be said to show combinations of training data. For example, the training unit 215 generates the trained model shown in FIG. 4E by supervised machine learning using data that associates information A about the coelomic fluid, information C about the obtained concentrated coelomic fluid, and concentration conditions F as training data. The training unit 215 can also generate the trained model shown in each figure by supervised machine learning in the case of FIG. 4F.

[0081] In the present disclosure, information used or estimated by the estimation unit 213 is represented by lowercase symbols (information a to c, filtering condition e, concentration condition f), and information used by the learning unit 215 is represented by uppercase symbols (information A to C, filtering condition E, concentration condition F). Information represented by uppercase symbols may include the same information as information represented by lowercase symbols. For example, information A may include each piece of information exemplified as information a.

[0082] The method for creating the model is not particularly limited, and conventionally known methods can be used. For example, various other models can be used, such as a logistic regression model, a multilayer perceptron, a neural network such as a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network), a support vector machine using an arbitrary kernel function such as a Gaussian kernel, a random forest modeled as a regression tree, multiple regression analysis, a model using a hidden Markov model, a statistical model, or a probabilistic model. Also, a model that combines various models to perform a comprehensive judgment can be used.

[0083] Furthermore, the learning unit 215 may periodically collect learning data 256 and update the model through re-learning.

[0084] 2.1.2. Operation Processing Next, a description will be given of the operation of the device 200. Fig. 5 is a sequence diagram showing an example of processing performed by the terminal 200a (device 200) of the first embodiment.

[0085] 2.1.2.1.Model Creation In step A01, the learning unit 215 of the terminal 200a creates a model for estimating the concentration condition f based on the learning data 256.

[0086] 2.1.2.2. Operation of the purification equipment In steps A02 and A03, the acquisition unit 212 of the terminal 200a acquires information a about the patient's original coelomic fluid and information c about the target concentrated coelomic fluid. At this time, in step A02, the acquisition unit 212 of the terminal 200a may also acquire information b about the patient's disease.

[0087] In step A04, the estimation unit 213 of the terminal 200a estimates, from the information acquired by the acquisition unit, concentration condition f in the body cavity fluid processing for concentrating the body cavity fluid to obtain concentrated body cavity fluid. At this time, the estimation unit 213 of the terminal 200a may further estimate filtration condition e.

[0088] Then, in step A05, the display control unit 214 of the terminal 200a controls the display of the estimated concentration condition f. At this time, the display control unit 214 of the terminal 200a may further control the display of the filtration condition e.

[0089] In step A06, the user inputs the operating conditions into the purification device based on the display-controlled concentration conditions f, and concentrates the coelomic fluid to obtain concentrated coelomic fluid.

[0090] In step A07, the acquisition unit 212 of the terminal 200a acquires information relating to the operation results such as the filtration conditions or concentration conditions in step A06. Then, in step A08, the acquisition unit 212 of the terminal 200a updates the information b relating to the patient's disease. It may be possible to not take this into consideration in the rule.

[0091] 2.2. Second embodiment Next, as a second embodiment, an aspect will be described in which the device 200 of this embodiment is a server 200b independent of the body cavity fluid treatment system 100 (FIG. 2B). In the second embodiment, a user can input information a and information c to the server 200b via the terminal 200a and obtain the concentration condition f from the server 200b via the terminal 200a.

[0092] By using the server 200b, various types of information can be aggregated in the server 200b. This makes it possible to build an estimation model with higher accuracy. Furthermore, by using the server 200b, it becomes possible to stably execute processes that place a high load on the terminal. Furthermore, since the terminal 200a in the second embodiment only needs to be able to send and receive various types of information to and from the server 200b, it is possible to use an existing terminal without developing a new terminal 200a.

[0093] The user may input the concentration condition f, which is displayed and controlled on the terminal 200a, to the body cavity fluid treatment system 100. The user may also transmit the concentration condition f, which is received by the terminal 200a, to the body cavity fluid treatment system 100 via the network N.

[0094] In the processing of this embodiment, the server 200b may use other devices connected via a wired or wireless network N as part of the storage of various information or as part of the functional units that execute various processes.

[0095] 2.2.1. Server hardware configuration In the server 200b in the second embodiment, the transmitter / receiver 211 functions as a transmitter that transmits various information to the terminal 200a via the communication interface 220 and the network N, and also functions as a receiver that receives various information from the terminal 200a. Except for this, the functional configuration of the server 200b in the second embodiment is the same as the functional configuration of the terminal 200a in the first embodiment. Therefore, a detailed description thereof will be omitted here.

[0096] 2.2.2.Device hardware configuration The terminal 200a in the second embodiment only needs to function as a client to the server 200b, and the terminal 200a in the second embodiment only needs to have a transmitting unit that transmits various information to the server 200b, a receiving unit that receives various information from the server 200b, and a display control unit that controls the display of the received information. In other respects, the terminal 200a may be configured as a desktop, laptop, tablet, smartphone, handheld computer device, wearable terminal, or the like.

[0097] 2.2.3. Operation Processing Next, a description will be given of the operation of the device 200. Fig. 5B is a sequence diagram showing an example of processing performed by the server 200b (device 200) of the second embodiment.

[0098] 2.2.3.1.Model Creation In step B01, the learning unit 215 of the server 200b creates a model for estimating the concentration condition f based on the learning data 256.

[0099] 2.2.3.2. Operation of the purification equipment In step B02, the transmitting unit of terminal 200a receives input of information a regarding the patient's original body cavity fluid and information c regarding the target concentrated body cavity fluid, and transmits them to server 200b. Then, in step B03, the acquiring unit 212 of server 200b acquires information a and information c. At this time, the transmitting unit of terminal 200a may transmit information b regarding the patient's disease to server 200b. In addition, the acquiring unit 212 of server 200b may acquire information b regarding the patient's disease.

[0100] In step B04, the estimation unit 213 of the server 200b estimates, from the information acquired by the acquisition unit, concentration condition f in the body cavity fluid processing for concentrating body cavity fluid to obtain concentrated body cavity fluid. At this time, the estimation unit 213 may further estimate filtration condition e. Then, in step B05, the transmission / reception unit 211 of the server 200b transmits the concentration condition f, etc. to the terminal 200a.

[0101] In step B06, the receiving unit of the terminal 200a receives the concentration condition f, and the display control unit of the terminal 200a controls the display of the received concentration condition f. At this time, the display control unit of the terminal 200a may further control the display of the filtration condition e.

[0102] In step B07, the user inputs the operating conditions into the purification device based on the displayed concentration conditions f, and concentrates the coelomic fluid to obtain concentrated coelomic fluid.

[0103] In steps B08 and B09, the transmitting unit of the terminal 200a accepts the input of the driving result in step B07 and transmits it to the server 200b. Then, in step B10, the acquiring unit 212 of the server 200b updates the information b about the patient's disease.

[0104] 2.3. Third embodiment As a third embodiment, an aspect will be described in which the device 200 of this embodiment is a server 200b connected to the body cavity fluid treatment system 100 via a network N (FIG. 2C). In the third embodiment, a user can input information a and information c to the server 200b via the body cavity fluid treatment system 100, and obtain concentration condition f from the server 200b via the body cavity fluid treatment system 100. The third embodiment can also be said to be an aspect in which the terminal 200a of the second embodiment is incorporated into the body cavity fluid treatment system 100 and functions as a single client terminal.

[0105] By using server 200b, various information can be aggregated in server 200b. This makes it possible to build a more accurate estimation model. Furthermore, by using server 200b, it becomes possible for the body cavity fluid treatment system 100 to stably execute processes that impose a high load.

[0106] The control device 120 of the body cavity fluid treatment system 100 may execute the concentration condition f received from the server 200b. This makes the operation easier than when the concentration condition f is input to the body cavity fluid treatment system 100 via the terminal 200a.

[0107] In the processing of this embodiment, the server 200b may use other devices connected via a wired or wireless network N as part of the storage of various information or as part of the functional units that execute various processes.

[0108] 2.3.1. Server hardware configuration In the server 200b in the third embodiment, the transmitting / receiving unit 211 functions as a transmitting unit that transmits various information to the terminal 200a via the communication interface 220 and the network N, and also functions as a receiving unit that receives various information from the terminal 200a. Except for this, the functional configuration of the server 200b in the second embodiment is equivalent to the functional configuration of the terminal 200a in the first embodiment. Furthermore, the server 200b in the third embodiment is also equivalent to the server 200b in the second embodiment. Therefore, detailed description thereof will be omitted here.

[0109] 2.3.2. Hardware configuration of body cavity fluid treatment system The body cavity fluid treatment system 100 in the second embodiment may include a device that functions as a client to the server 200b. Here, the body cavity fluid treatment system 100 will be described as including a device 200a' that corresponds to the terminal 200a in the second embodiment.

[0110] The device 200a' may include a transmitter that transmits various information to the server 200b, a receiver that receives various information from the server 200b, and a display controller that controls the display of the received information. The device 200a' may utilize functional units included in the body cavity fluid treatment system 100 as at least a part of the transmitter, receiver, and display controller.

[0111] 2.3.3. Operation Processing Next, a description will be given of the operation of the device 200. Fig. 5C is a sequence diagram showing an example of processing performed by the server 200b (device 200) of the third embodiment.

[0112] 2.1.2.1.Model Creation In step C01, the learning unit 215 of the server 200b creates a model for estimating the concentration condition f based on the learning data 256.

[0113] 2.1.2.2. Operation of the purification equipment In step C02, the transmitting unit of device 200a' receives input of information a regarding the patient's original body cavity fluid and information c regarding the target concentrated body cavity fluid, and transmits them to server 200b. Then, in step C03, the acquiring unit 212 of server 200b acquires information a and information c. At this time, the transmitting unit of device 200a' may transmit information b regarding the patient's disease to server 200b. In addition, the acquiring unit 212 of server 200b may acquire information b regarding the patient's disease.

[0114] In step C04, the estimation unit 213 of the server 200b estimates, from the information acquired by the acquisition unit, concentration condition f in body cavity fluid processing for concentrating body cavity fluid to obtain concentrated body cavity fluid. At this time, the estimation unit 213 may further estimate filtration condition e. Then, in step C05, the transceiver unit 211 of the server 200b transmits the concentration condition f, etc. to the body cavity fluid processing system 100 including the device 200a'.

[0115] In step C06, the receiving unit of the device 200a' receives the concentration condition f, and the display control unit of the device 200a' controls the display of the received concentration condition f. At this time, the display control unit of the device 200a' may further control the display of the filtration condition e.

[0116] In step C07, the user inputs operating conditions into the purification device based on the displayed concentration conditions f, and concentrates the body cavity fluid to obtain concentrated body cavity fluid. Alternatively, the receiving unit of device 200a' may transfer concentration conditions f to the control device 120 of body cavity fluid treatment system 100. This eliminates the need for input operations by the user.

[0117] In steps C08 and C09, the transmitting unit of the device 200a' accepts the input of the driving result in step C07 and transmits it to the server 200b. Then, in step C10, the acquiring unit 212 of the server 200b updates the information b related to the patient's disease. More specifically, the acquiring unit 212 of the server 200b accumulates the driving result in step C07 as information related to the patient's medical history.

[0118] 2.4. Fourth embodiment As a fourth embodiment, an aspect in which the device 200 of this embodiment is incorporated into the body cavity fluid treatment system 100 will be described ( FIG. 2D ). Note that in FIG. 2D , the control device 120 may be provided separately from the device 200, or the processor 210, memory 240, and storage 250 included in the device 200 may function as the control device 120. The input / output interface 121 may also be provided separately from the device 200, or the input / output interface 230 included in the device 200 may function as the input / output interface 121. In the fourth embodiment, a user can input information a and information c into the device 200 incorporated into the body cavity fluid treatment system 100 and obtain concentration condition f from the device 200 incorporated into the body cavity fluid treatment system 100. The fourth embodiment can also be said to be an aspect in which the terminal 200a of the first embodiment is incorporated into the body cavity fluid treatment system 100.

[0119] This allows the device 200 to estimate the concentration condition f without using the server 200b, etc. Therefore, the device 200 of this embodiment can be used even in places where a network connection is not possible or where the network connection is cut off, such as in some hospitals.

[0120] The control device 120 of the body cavity fluid treatment system 100 may execute the concentration condition f output by the device 200. This makes the operation easier than when the concentration condition f is input to the body cavity fluid treatment system 100 via the terminal 200a or the server 200b.

[0121] In the processing of this embodiment, the device 200 incorporated in the body cavity fluid processing system 100 may utilize other devices connected via a wired or wireless network N as part of the storage of various information or as part of the functional unit that executes various processes.

[0122] 2.4.1. Hardware configuration of body cavity fluid treatment system The fourth embodiment is an aspect in which the body cavity fluid treatment system 100 itself includes the device 200 of the present disclosure. The description will be given assuming that the body cavity fluid treatment system 100 includes a device 200a" that corresponds to the terminal 200a in the first embodiment.

[0123] The device 200a" may utilize functional units provided in the body cavity fluid treatment system 100 as part of its functional units. Furthermore, the device 200a" may be configured to be able to freely send and receive data to and from the body cavity fluid treatment system 100. Furthermore, the device 200a" may be configured to be able to control the body cavity fluid treatment system 100 in cooperation with the control device 120 of the body cavity fluid treatment system 100 according to predetermined concentration conditions f, etc.

[0124] 2.4.2. Operation Processing The operational processing of the fourth embodiment is substantially the same as that of the first embodiment, and therefore will not be described here. Note that in step A06 of the first embodiment, the user inputs the concentration condition f and the like into the body cavity fluid treatment system 100, but in the fourth embodiment, since the device 200a" is incorporated into the body cavity fluid treatment system 100, the estimation unit 213 of the device 200a" may pass the concentration condition f to the control device 120 of the body cavity fluid treatment system 100. This eliminates the need for input operations by the user.

[0125] 3. Method The method of this embodiment includes an acquisition step in which the device 200 acquires information a regarding the patient's body cavity fluid and information c regarding the desired concentrated body cavity fluid, and an estimation step in which, from the information acquired by the acquisition unit, it estimates concentration conditions f in body cavity fluid processing to concentrate the body cavity fluid and obtain concentrated body cavity fluid.

[0126] Note that the specific aspects of the method of this embodiment have been described above in the operational processing, so detailed description thereof will be omitted here.

[0127] 4. Program The program of this embodiment causes the device 200 to execute an acquisition step of acquiring information a regarding the patient's body cavity fluid and information c regarding the target concentrated body cavity fluid, and an estimation step of estimating, from the information acquired by the acquisition unit, concentration conditions f in body cavity fluid processing for concentrating the body cavity fluid to obtain concentrated body cavity fluid.

[0128] The program may be recorded on a readable recording medium. Note that the specific aspects of the processing executed by the program of this embodiment have been described above in the operational processing, and therefore detailed description thereof will be omitted here. [Industrial Applicability]

[0129] The present invention has industrial applicability as an apparatus for estimating the treatment conditions of a body cavity fluid treatment system. [Explanation of symbols]

[0130] 100...body cavity fluid treatment system, 110...original body cavity fluid bag, 110...body cavity fluid bag, 111...filter, 111a...fluid passage port, 111b...fluid passage port, 111c...fluid passage port, 111d...fluid passage port, 112...concentrator, 112a...fluid passage port, 112b...fluid passage port, 112c...fluid passage port, 113...concentrated body cavity fluid bag, 114...first fluid supply line, 115...drain line, 116...second fluid supply line, 117...third fluid supply line, 118...fourth fluid supply line, 119...fluid supply means, 119a...first pump, 119b...second pump, 119c...third pump, 120...control device, 121...input / output interface, 200...device, 200a...terminal, 200a'...device, 200a"...device, 200b...server, 210...processor, 211...transmitter / receiver unit, 212...acquisition unit, 213...estimation unit, 214...display control unit, 215...learning unit, 220...communication interface, 230...input / output interface, 240...memory, 250...storage, 260...communication bus.

Claims

1. an acquisition unit that acquires information a about the patient's original coelomic fluid and information c about the target concentrated coelomic fluid; an estimation unit that estimates, from the information acquired by the acquisition unit, a concentration condition f in body cavity fluid processing for concentrating the original body cavity fluid to obtain concentrated body cavity fluid; An apparatus comprising:

2. The information a includes information regarding the amount of the coelomic fluid and the components contained in the coelomic fluid.

10. The apparatus of claim 1.

3. the information regarding the components contained in the coelomic fluid includes information regarding total protein concentration; 3. The apparatus of claim 2.

4. The information c includes the desired amount of concentrated coelomic fluid.

10. The apparatus of claim 1.

5. The acquisition unit further acquires information b regarding the patient's disease.

10. The apparatus of claim 1.

6. The information about the patient's disease includes information about the patient's medical history.

6. The apparatus of claim 5.

7. The concentration condition f includes a recommended flow rate when concentrating the coelomic fluid.

10. The apparatus of claim 1.

8. The estimation unit estimates a filtration condition e in the body cavity fluid treatment.

10. The apparatus of claim 1.

9. The filtration condition e includes a recommended flow rate when filtering the coelomic fluid.

9. The apparatus of claim 8.

10. The estimation unit estimates a concentration condition f of the coelomic fluid using a model created based on learning data.

10. The apparatus of claim 1.

11. is a server, A transmission unit that transmits the concentration condition f to a terminal used by a user who operates the purification device that performs the body cavity fluid treatment is further provided.

10. The apparatus of claim 1.

12. a terminal used by a user to operate the purification device that performs the body cavity fluid treatment, Further provided is a display control unit that controls the display of the concentration condition f.

10. The apparatus of claim 1.

13. The device, an acquisition step of acquiring information a about the patient's original coelomic fluid and information c about the target concentrated coelomic fluid; and estimating, based on the acquired information, a concentration condition f in the body cavity fluid treatment for concentrating the original body cavity fluid to obtain concentrated body cavity fluid. method.

14. To the device, an acquisition step of acquiring information a about the patient's original coelomic fluid and information c about the target concentrated coelomic fluid; and an estimation step of estimating, from the acquired information, a concentration condition f in the body cavity fluid treatment for concentrating the original body cavity fluid to obtain concentrated body cavity fluid. program.

Images