JPH0972893A - System for evaluating efficacy of medication - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system which enables general evaluating of the efficacy of a medication. SOLUTION: The system for evaluating the efficacy of a medication comprises a CPU 10, a memory 17, a keyboard 11 and a display 14. The memory 16 stores a file 16A for storing patient's background data, and a file 16B for storing the minimum growth inhibiting concentration of antibiotic. The display 14 displays the format for inputting the data to the files 16A, 16B. The CPU 10 tabulates and displays the analyzed result for the efficacy of the medication of a population to be analyzed based on the displays state for forming and selecting the population to be analyzed from the files 16A, 16B based on the input selected data.

Description

Detailed Description of the Invention

[0001]

TECHNICAL FIELD The present invention relates to a system for evaluating the effectiveness of drugs. In particular, it relates to a system in which the acquired state of drug resistance is evaluated. More specifically, it relates to a system for evaluating the susceptibility of clinically isolated bacteria to antibiotics.

[0002]

2. Description of the Related Art It is a known fact that it is effective to use chemotherapeutic agents for various infectious diseases. In the field of treatment of bacterial infections, the susceptibility of antibiotics to clinically isolated bacteria is tested in clinical laboratories and the most susceptible antibiotic is applied to the infection in question.

The susceptibility test includes liquid dilution method, agar dilution method and the like. Both methods show susceptibility at the lowest concentration at which microbial growth was inhibited.

In medical practice, a susceptibility test is conducted for a plurality of antibiotics against a certain infectious disease, and the most sensitive antibiotic is applied to the relevant infectious disease.

Antibiotics exert an inhibitory effect on microorganisms such as pathogenic viruses as well as bacteria, and achieve the effect of treating patients suffering from infectious diseases. However, it is a well known fact that even if a chemotherapeutic agent is initially effective, then bacteria will acquire resistance to this chemotherapeutic agent.

The phenomenon of acquiring resistance to such drugs is found in many microorganisms and in many drugs, which immediately affects the therapeutic side, and the drugs which have been effective until now gradually lose their effects. It is nothing but going. In recent years, it has been shown that methicillin-resistant Staphylococcus aureus (MRSA) has a significant impact on the medical field.
It is well known for the fact that deaths from infectious diseases of

Therefore, in the medical world, attention is paid to whether pathogenic microorganisms isolated from patients have acquired resistance to chemotherapeutic agents. Measures such as quickly detecting the emergence or fear of resistance and refraining from the use of drugs for which resistance is being acquired, or switching to drugs for which resistance has not been acquired, or using multiple drugs in combination Must be taken promptly.

[0008] In medical institutions, for example, by knowing that the minimum inhibitory concentration (MIC) for a specific bacterium has increased over time, has resistance to that bacterium been acquired? Alternatively, it can be determined that it is being acquired.

[0009]

Such a phenomenon of resistance acquisition tends to occur remarkably as a result of frequent and widespread use of a specific antibiotic for a certain period.
Since the characteristic that causes resistance is inherited between microorganisms, it is necessary to comprehensively evaluate resistance in one or a plurality of medical institutions, or in prefectures and nationwide.

However, since the analysis of the susceptibility test for chemotherapeutic agents in medical institutions was carried out manually by medical personnel, a large number of test results for multiple strains were comprehensively evaluated accurately and promptly to evaluate resistance. It was difficult to determine the expression status accurately.

Therefore, an object of the present invention is to provide a system capable of quickly and accurately evaluating the effectiveness of a drug.

Another object of the present invention is to provide a system capable of comprehensively evaluating the effectiveness of drugs.

Another object of the present invention is to provide a system capable of quickly and accurately evaluating the occurrence of resistant bacteria to chemotherapeutic agents and further comprehensively evaluating the evaluation.

[0014]

To achieve this object, the present invention comprises arithmetic processing means, storage means, input means, and display means, and is used to evaluate the effectiveness of a drug. A system including a device, wherein the display means displays a data input screen and a data analysis screen, and the data input screen has a data input format indicating the effectiveness of the drug. On the screen for data analysis, the first screen for selecting the group to be analyzed and the analysis result for this group are displayed as a chart, and the desired one is selected from a plurality of display modes. A second screen for displaying, and the input means can input predetermined data to the device via the screen displayed on the display means, and the storage means indicates the effectiveness of the drug. Contains data Storing a file, the arithmetic processing unit stores a new file in the storage unit from the data input via the format, or updates an existing file and stores the file in the storage unit, Further, based on the selection data input via the first screen, a group to be analyzed is constructed from the files stored in the storage means, and the display mode selected by the second screen. Based on the above, the system for evaluating the efficacy of a drug is characterized in that the analysis result for the efficacy of the drug in this group is displayed in a chart on the display means.

The effectiveness of the drug is indicated, for example, by the sensitivity of a given bacterial species to a given chemotherapeutic agent. The file stores, for example, the minimum inhibitory concentration exhibited by a bacterium isolated by a plurality of medical institutions for a given antibiotic. The arithmetic processing means may display on the display means a graphical representation of the temporal variation of the minimum inhibitory concentration. The file includes, for example, a patient background data file that stores background data of patients created for each of a plurality of patients, and a drug efficacy data file that stores data regarding the efficacy of a drug against a bacterium isolated from each patient. Prepare

[0016]

BEST MODE FOR CARRYING OUT THE INVENTION Next, embodiments of the present invention will be described. FIG. 1 is a schematic configuration diagram of a system according to an example of this mode. This embodiment relates to a system which enables evaluation of resistance acquisition phenomenon exhibited by bacteria against antibiotics and selection of an antibiotic most suitable for the background and medical condition of a patient.

In this embodiment, the susceptibility of the antibiotic to the bacteria, in other words the resistance, is evaluated by the minimum inhibitory concentration (MIC) of the antibiotic against the bacteria. That is, in this example, in a medical facility (medical institution), a system for conducting a susceptibility test of an antibiotic with respect to a strain isolated from a patient, inputting the result, and evaluating the drug resistance of the strain in a graph is provided. Explained.

This system, as shown in FIG.
Central processing unit (CPU) 10 as processing means
A keyboard 11 as an input means, a printer 12 as an output means, a CRT display 14 as a display means for displaying an input format, a memory 16 as a storage means, and these parts are connected to each other. And a bus 18.

One system is a LAN together with another system.
It is also possible to be connected to each other by (L ocal A rea N etwork) or computer communication networks. This system is easily realized by a personal computer and its peripheral devices.

The storage means 16 stores various data files and master files described later. This data file is patient background data file 16A and M
It is composed of an IC data file 16B. The former data file has various data groups regarding background information of patients who received antibiotics. The latter data file contains various data groups (minimum inhibitory concentration (MI
Including C). ).

FIG. 2 shows a hierarchical file structure realized in the memory. The two files are hierarchically realized with the year as a directory and the number of times and the bacterial species as a subdirectory. "Year" indicates the year in which MIC for clinical isolates is measured, "number of times" indicates how many times this measurement falls in that year, and "bacterial species" indicates the target of MIC measurement. Indicates the type of bacteria to which the strain One population is decided according to these years, number of times, and bacterial species.

The population refers to the population formed by the patient background data file and the MIC data file determined by the directories and subdirectories. The patient background data file and the MIC data file are created for each strain isolated from the patient. Therefore, usually, a plurality of patient background data files and MIC data files are created in one population.

The function of this system is roughly composed of population selection and subsystems. "Population selection"
Corresponds to selecting a desired population from a plurality of existing populations. The “subsystem” will be described later.

FIG. 3 shows the format of the patient background data file. The patient background data file stores codes corresponding to the items shown in the upper row. The outline of each item will be described below. Descriptions of the items whose contents can be immediately understood from the item names are omitted.

The delete flag is data for indicating whether or not the file should be deleted. The facility name is the name of the facility where the strain was collected from the patient. The bacterial name indicates the bacterial species. The storage number indicates the label number of the strain. The amount of bacteria means the amount of collected bacteria. The chart information indicates the presence or absence of the chart.

The date of acceptance, the year of acceptance, and the year of acceptance are entered based on the date on which the sample was collected from the patient. Patient ID
The number means a number for identifying a patient, and a medical record number is described. If no chart exists, the patient's initials are listed. Inpatient / outpatient is a distinction between inpatient and outpatient. An infectious disease refers to an infectious disease that has been present or has been in the past. The basic disease refers to a basic disease that the patient has suffered from present or in the past.

The term "foreign body indwelling" means a medical instrument, such as a catheter, placed in the body. The origin specimen refers to the tissue of a patient in which the bacterium has been isolated. Performing refers to a distinction whether Gram stain is performed or not performed on a bacterium isolated from a patient.

Streptococcus (gram positive (G +)), staphylococcus (G +), bacillus (G +), diplococcus (gram negative (G +)
-)), Coccobacillus (G-)), bacillus (G-), and yeast refer to the classification that includes the isolated bacterium. WBC (white blood cells), phagocytic cells / spheres, phagocytic cells / rods, and epithelium refer to the origin of cells isolated from a patient. The term “co-isolated bacterium” refers to another bacterium species that is isolated at the same time as the strain to be subjected to the drug susceptibility test. A pre-administered antibiotic is an antibiotic that was administered at the time of the previous treatment for a patient. Therapeutic antibiotics are antibiotics currently used for treatment. The therapeutic drug such as an anticancer drug means a drug other than an antibiotic drug that is administered to a patient. The clinical effect means the infection treatment effect of a test antibiotic determined by a doctor or the like.

The disappearance of the bacterium means that the bacterium has disappeared by the antibiotic. Remark refers to master data that can be handled independently at each facility. For example, the distinction between wards. Among the remarks, the term "inflammatory" corresponds to whether or not the bacteria isolated from the patient cause the infectious disease. DFLG and WF
LG corresponds to an internal flag for data management. The registration date indicates the date when this file was registered. The update date means the date when this file was updated.

FIGS. 4 to 6 show examples of the master files stored in the memory 16 in advance. The numerical value in the left column of each master file is a code corresponding to each item in the right column. This master file stores in advance character codes for displaying or printing out the detailed item name corresponding to each detailed item code (left column) for many detailed items. For example, in the master file of the facility code in FIG. 4, data of each medical facility name is given corresponding to each code.

For the items for which the master file is not set, the corresponding numerical values are stored according to a predetermined rule. The predetermined convention is, for example, the last two digits of the year in the year. It should be noted that it does not prevent that some predetermined ones of the master files shown in FIG. 4 to FIG. 6 are merely used as the rules for input, not as the master files stored in the memory.

FIG. 7 shows the format of the MIC data file (also referred to as "drug sensitivity result data file"). Among the items of this file, description of the same items as the patient background data file will be omitted. In the drug sensitivity result storage area, the code of each antibiotic and the concentration range to which the MIC of this antibiotic belongs are stored in association with each other. The strain information stores the biochemical characteristics of the strain to determine the strain.

FIG. 8 shows the format of the master file related to the creation of the MIC data file, and the code corresponding to the drug name in the upper row is stored in the lower row. The code for the drug name differs depending on the target bacterial species, and for example, as shown in
Can be decided like. In the storage area of the strain information 2 of the drug sensitivity result file, the mycological (or biochemical) characteristics indicated by the test strain are coded and input according to a predetermined rule.

FIG. 10 shows a functional block diagram of the subsystem. This subsystem has functions of new registration / update of data, search / update of data, file management, and printer setting. The selecting means makes it possible to select a desired functional unit of each of these functions. Here, each functional unit will be described.

The new registration 80 of data means that the patient background data file and the MIC data file described above are newly created. For new registration of data, a format for input is displayed on the CRT display 14, and the operator follows the format and instructions on the screen, referring to the subwindow displayed on the screen based on the master file. It is performed by inputting a predetermined code.

FIG. 11 shows an example of an input format displayed on the screen of the CRT display 14. The meaning of each item in this format has already been explained. The master file is displayed on the screen in the subwindow format.

The operator inputs the code listed in this sub-window into the required portion of this format.
The input method is similar to various known database software. For example, when the cursor is moved to the "infection" section, the infectious disease master file is displayed on the screen as a subwindow. If you enter a specific code "1" in parentheses, the infectious disease name corresponding to this code is displayed next to this code.

From the data input in the format, C
The PU 10 creates a patient background data file or MIC data file in the memory and stores this in the memory. FIG. 11 described above corresponds to the first aspect of the format. When the input to the first mode is completed, the second mode shown in FIG. 12 is displayed. Then, when the input to the second mode is completed, a patient background data file is newly created and all necessary data are stored in this.

FIG. 13 shows a format relating to the third mode for inputting MIC data. An alphabet code representing a specific drug and a code of the concentration range of the MIC of this drug are input in the location of the drug sensitivity result of this format. The latter code is shown in the format. For example, the MIC of AZT (indicating "Aztreonam") exceeds 64 μg / ml and 128 μg / ml.
Since it is less than or equal to ml, "1" is input in the parentheses adjacent to AZT. In the strain information section, the corresponding code is entered for each mycological property. In the illustrated example, the type of antibody of the serotype is entered in the serotype in alphabets. Cephalosporinase represents + and-of β-lactamase, respectively, and shows 0:-, 1: +, 9: unknown.

As in the case of the format described above, the data input according to this format is stored in the MIC data file. Note that this embodiment does not prevent this format from being used as a form instead of being displayed on the screen.

Next, "data update" of the subsystem will be described. This data update corresponds to updating the predetermined data in the patient background data file and the MIC data file, and is usually performed according to the instructions shown on the screen.

FIG. 14 shows a first format for updating data. The data update format is also displayed on the CRT display 14 in the same manner as the data input format. On the first screen for updating the data, almost all items are displayed so that the operator can select the file to be updated.

When one or more of these items are selected, a list of file lists is displayed as shown in FIGS. 15 to 19, and the file including the designated item (the file whose save number is “00001” in the figure) is displayed. It is displayed in a form that can be distinguished from other files (highlight).

Then, after confirming that the file whose data is to be updated is correct, the return key of the keyboard is pressed, and the data update corresponding to the screen for new data registration described above is displayed. Figure 2
A detailed screen (format) 0 is displayed. Note that the screen for data update and subsequent to the screen in FIG. 19 is omitted.

Next, the "data search / analysis" of the subsystems will be described. This subsystem further sets a predetermined selection condition based on the patient background data file and the MIC data file of the selected population, searches a data group in the file satisfying this condition,
Alternatively, the content is to add a predetermined analysis process to this.

As shown in FIG. 10 described above, this subsystem is configured by displaying the cumulative percentage / distribution of each drug or directly inputting the numerical value of each bacterium. These displays and inputs are performed in various forms such as a line graph, a radar chart, a range table, a correlation table, a pie chart, and a bar graph.

The percentage / distribution display by drug means displaying the percentage of the bacterial strain number in the MIC concentration range of each drug with respect to the total number of specific bacterial strains. The percentage by bacteria corresponds to the percentage of the number of bacterial strains in the MIC concentration range that a specific drug shows with respect to the total number of strains of a predetermined plurality of types of bacteria. The MIC drug-specific display is to display the MIC for each drug for a predetermined bacterial species.

The display of MIC by bacterium means displaying the MIC of each bacterium for a predetermined drug. The display by MIC drug means that the display by MIC drug is executed for each age group. The MIC bacteria-specific age display means that the MIC bacteria-specific display is performed for each age. MIC-derived specimen age display (MI
The term "display of various ages by C condition" means that it is possible to display, for each year, the ratio of each tissue in which the bacterium, which is the symmetry of the MIC measurement, is derived.

The patient information statistical ratio means a system for displaying the frequency of bacteria separated from a sample collected from a patient in a bar graph or a pie chart. Direct input of numerical values by drug, and further direct input of numerical values by bacterium means a system in which the value of MIC is directly input and analysis is performed by MIC by drug or by bacterium.

FIG. 21 shows the MI of each drug against Pseudomonas aeruginosa.
It is a set of a cumulative percentage graph and a tabulation showing a relationship between C and the cumulative percentage. The contents of the spreadsheet are displayed as a cumulative percentage graph. Naturally, these indications are CR
It is executed on the T display. The percentage table and the summary table can be displayed separately.

FIG. 22 is a graph displayed by a percentage that is not cumulative. 23 to 30 are each mode of a chart realized by "display of percentage / distribution by bacteria".

The sensitivities of a plurality of antibiotics to a certain bacterial species can be compared from the charts shown in FIGS. Also, the susceptibility of multiple bacteria to an antibiotic can be compared. From these results, it is possible to know the tendency of resistance of the bacteria to the drug. For example, it can be said that the more bacteria in the region where the MIC concentration is high, the more resistant it is to the drug.

FIG. 31 is an example of a line graph of a tabulation table realized by the "display by MIC bacteria" function. In the figure,
The numerical value after MIC shows the concentration at which the growth of the number of strains corresponding to the numerical value% in all the strains is inhibited. FIG.
Is an example of the radar chart. From these figures, it is possible to know the change in the susceptibility of bacteria to the change in the concentration of each antibiotic. That is, it can be said that the higher the concentration of each drug is, the more the resistance is improved. Further, FIG. 33 shows a range table for this tabulation table. In the figure, MIN shows the minimum value of MIC, and MAX shows the maximum value of MIC.

FIG. 34 shows AZT and IP against Pseudomonas aeruginosa.
The correlation table of MIC with M: imipenem / CS: cilastatin (combination of both) is shown. This table is understood as follows. This correlation table is useful in comparing the efficacy of the two drugs. This table helps to understand which drugs are more sensitive to Pseudomonas aeruginosa. Figure 35 shows P. aeruginosa
(inosa), showing the age display by drug, R in the figure,
The MIC concentration ranges of I and S are shown in the figure. It is shown that the bacteria become more resistant to this drug as the ratio of R region increases with the passing of the year.

In FIG. 36, the bacteria separated at the same time as Pseudomonas aeruginosa are shown for each specimen derived from the patient. In the figure, "single isolate" means that Pseudomonas aeruginosa was isolated alone, that is, there was no simultaneous isolate. Fig. 36
Is shown in the form of a horizontal bar graph, but it can be displayed by a pie chart system.

These graphs are shown in the input device ROLL.
With the UP or ROLL / DOWN keys, the CRT display is sequentially displayed in the order as shown in FIG. 37, for example. Each graph described above is created based on the data obtained by the CPU 10 extracting data satisfying the selection condition from the memory. Therefore, the susceptibility of the antibiotic to the bacteria is clearly displayed from the desired point of view.

"File management" of subsystems
Realizes data exchange between a terminal hard disk and a diskette. As described above, it is desirable that examination and analysis of resistance to bacteria be performed mutually by a plurality of facilities exchanging data with each other, rather than at a single facility. So, with this file management function,
Allows exchange of data between facilities.

"Data output" is used to download data from the hard disk of one system to a floppy disk and provide the data to another facility. On the other hand, "data entry" accomplishes the opposite. That is, the system of one facility receives data from another system. However, these functions may be realized by a so-called personal computer communication function through a telephone line or the like.

The code table replacement means that all of the above-mentioned master files are newly replaced.
The remark code table is a table used by each facility to create its own master table. Data save and data restore are patient background data,
It is a system for saving or restoring MIC data and each master data.

The setting of the printer in the subsystem is to set printout conditions (printer selection, typeface selection, page layout) and the like, and has the same contents as in a known microcomputer. Therefore, the description thereof will be omitted.

Next, the operation of this system will be described using a flow chart. FIG. 38 shows a schematic flow chart of this system. First, when the operator starts this system, step 280
In, the information for population selection shown in FIG. 39 is displayed on the CRT display 14. As described above, this population corresponds to the directory designated by the year, the number of times, and the bacterial species. In the case of the above-mentioned new data registration, files belonging to the population have not been created yet, but this population (directory) will be created in advance.

Next, when the operator selects a population (S282), a screen prompting selection of the subsystem is displayed on the CRT display (S284). FIG.
0 indicates this screen, and new data registration /
Items such as update, data search / analysis, file management, and printer settings are displayed on the screen. And step 286
At, enter the number of the desired item on the screen
U10 reads the number and displays the screen of the selected subsystem on the CRT display.

In the screen for selecting a population shown in FIG. 39,
Multiple populations are displayed in the form of a list, and when the operator clicks on the population corresponding to the desired year, number of times, and bacterial species with the mouse, the drug names used in this population and the scale of MIC are displayed. Is displayed. Here, the MIC scale is as follows. That is, MI
The C is 128 scale means that the MIC is (“> 12
8 μg / ml ”). Also, the MIC is 3
2 scale means MIC (“> 32 μg / m
l "). In addition, the number of strains and TS (the number of data obtained by inspecting Gram stain in the facility among the data for each population) are displayed.

When the selection of the population is completed, the detailed flowchart of the subsystem is entered. FIG. 41 shows a detailed flowchart of the above-described subsystem selection processing as step 286. In selecting a subsystem, as described above, first, the screen format for subsystem selection shown in FIG. 40 is displayed. When a predetermined code is input according to this format (step 300), the CPU 10 reads this code,
Subsystems for new registration / update of data, data search / analysis, file management, and printer setting are selected and executed (steps 302 and 304). Step 302,
The selection unit of FIG. 10 is realized by 304.

The "new registration / update of data" is executed according to the flow chart shown in FIG. First, it is determined whether or not data is newly registered (step 310),
In the case of new registration (step 310: YES), a screen for new data input is displayed (step 311). This screen has already been described. Then, when the data is not newly registered (step 310: N
O), a screen for updating data is displayed on the CRT display (step 312). This screen has already been described. The operator inputs necessary data on these screens (step 313). By this input, a new patient data file or MIC data file is created, or the data in the existing file is updated and input (step 314).

Next, a detailed flow chart for realizing "data analysis / search" will be described with reference to FIG. The explanation here will be made on the display of the cumulative percentage / distribution by drug. First, in step 3200, it is determined whether a file previously created for data analysis / search exists. If this file already exists (step 3200: YES), it moves to step 3214. If this file does not exist (Step 3
200: NO), and proceeds to the processing of step 3202 and subsequent steps for creating a new analysis file.

In step 3202, the screen format for setting the selection condition shown in FIG. 44 is displayed first, and then the selection condition is input according to this format (steps 3202 to 3206). The selection condition is a condition for selecting a specific file from the already selected population and further selecting a specific data group from this file, and is composed of extraction conditions and stratification conditions. To be done. Here, the extraction condition refers to a condition for selecting a group that meets the necessary conditions from the background of the selected population. For example, it refers to the distinction between men and women, and the distinction between respiratory organs and digestive organs. The stratification condition is a condition when the selected population is divided and displayed within a specific background factor when one drug or one bacterial species is selected as the extraction condition.

These conditions can be set by the format shown in FIG. FIG. 45 shows a part of the format for setting the extraction condition. The stratification conditions can be set by the same screen format. This condition setting is
When you click on the input device such as a mouse at the corresponding item, the code and name are displayed in the subwindow format, and you can enter the required code in the corresponding item. FIG. 45 shows the setting of extraction conditions for the origin sample.

The condition setting format has substantially the same contents as the data update screen format (FIG. 14). The above-described percentage graph of FIG. 21 is for the case where the extraction condition is Pseudomonas aeruginosa (P. aeruginosa) and the stratification conditions are the eight kinds of drugs shown in the figure. As described above, the stratification condition is set when it is necessary to display the data analysis result for each layer, that is, the data analysis result is displayed from eight layers for each drug.

After the extraction condition is input in step 3202, it is determined in step 3204 whether or not the stratification condition is input. If the stratification condition is input, the extraction condition and the stratification condition are combined. The matching data group is the CPU
Read from memory by 10 (step 32)
08). On the other hand, when the stratification condition is not input, the data group selected by the extraction condition is read from the memory.

Then, the CPU creates a new population from this data group and registers these in the memory as a file for data analysis / search (step 3210, step 3212). Further, the CPU 10 realizes the function of displaying the percentage by drug or bacteria selected from the data analysis / search functions of the subsystem based on the contents of the analysis file.

According to the microbial susceptibility analysis system for antibiotics described in this embodiment, the analysis results are tabulated and displayed promptly. Since the susceptibility results are obtained based on the strains collected by a plurality of medical institutions, the susceptibility to the drug, that is, the tendency of the bacterium to become resistant to the drug in this embodiment can be widely known. In addition, since the drug susceptibility results can be displayed in order by year, it is possible to quickly know the temporal changes in the drug susceptibility results. Therefore, it is possible to accurately and quickly know the tendency of bacteria to acquire resistance to the drug. be able to.

Although this embodiment relates to an antibiotic sensitivity evaluation system, the technical idea of the present invention is
It can also be applied to a sensitivity evaluation system for other drugs. For example, the technical idea of the present invention can be applied to a system in which a test material can be collected from the body and the effectiveness of a drug can be evaluated using the material. As such a thing, resistance evaluation of an anticancer agent and an antiviral agent can be illustrated, for example.

[0074]

As described above, according to the efficacy evaluation system of the drug for acquiring resistance according to the present invention, the efficacy of the drug can be evaluated quickly and accurately. Then, the present invention can provide a system capable of comprehensively evaluating the effectiveness of a drug. Further, it is possible to provide a system capable of quickly and accurately evaluating the occurrence of resistant bacteria to a chemotherapeutic agent and further comprehensively performing the evaluation.

[Brief description of drawings]

FIG. 1 is a schematic configuration diagram of a system according to an embodiment of the present invention.

FIG. 2 is a table showing a hierarchical file structure realized in the memory of the system.

FIG. 3 is a table showing the format of a patient background data file.

FIG. 4 is a table showing an example of each master file stored in advance in a memory.

FIG. 5 is a table showing another example of each master file stored in advance in a memory.

FIG. 6 is a table showing another example of each master file stored in advance in a memory.

FIG. 7 is a table showing the format of a drug sensitivity result data file.

FIG. 8 is a table showing the format of a master file related to the creation of a drug sensitivity result data file.

FIG. 9 is a table showing an example of how to give a code to a drug name.

FIG. 10 is a functional block diagram of a subsystem related to the system.

FIG. 11 is a table showing an example of an input format displayed on the screen of the CRT.

FIG. 12 is a table showing a second mode of the input format.

FIG. 13 is a table showing a third aspect of the input format.

FIG. 14 is a table showing a first format for updating data.

FIG. 15 is a table showing an example of a screen displaying a list of file lists.

FIG. 16 is a table showing another example of a screen displaying a list of file lists.

FIG. 17 is a table showing yet another example of a screen displaying a list of file lists.

FIG. 18 is a table showing still another example of a screen displaying a list of file lists.

FIG. 19 is a table showing yet another example of a screen displaying a list of file lists.

FIG. 20 is a table showing an example of a detailed screen (format) for updating data.

FIG. 21 is a set of a cumulative percentage graph and a summary table showing the relationship between the MIC and the cumulative percentage for each drug against Pseudomonas aeruginosa.

FIG. 22 is a graph showing the relationship between MIC and percentage of each drug against Pseudomonas aeruginosa.

FIG. 23 is a cumulative percentage table realized by displaying percentages / distributions by bacteria.

FIG. 24 is a cumulative percentage table and a tabulation table realized by displaying percentages and distributions by bacteria.

FIG. 25 is a cumulative percentage table and an aggregate rate table realized by displaying the percentage and distribution by bacterium.

FIG. 26 is a percentage table realized by displaying percentages / distributions by bacteria.

FIG. 27 is a percentage table and a tabulation table realized by displaying the percentage and distribution of bacteria.

FIG. 28 is a percentage table and a tabulation table realized by displaying the percentage and distribution of bacteria.

FIG. 29 is a summary table realized by displaying percentages and distributions by bacteria.

FIG. 30 is a tabulation rate table realized by displaying percentages and distributions by bacteria.

FIG. 31 is an example of a line graph of a count table realized by the display function for each MIC bacterium.

FIG. 32 is an example of the radar chart.

FIG. 33 is a range table for a summary table for drug sensitivity results.

FIG. 34 is a correlation table relating to drug susceptibility results for two types of drugs.

FIG. 35 is a bar graph showing an example of chronological display of drug susceptibility results for Pseudomonas aeruginosa.

FIG. 36 is a bar graph showing the ratio of bacteria isolated at the same time as Pseudomonas aeruginosa per patient-derived sample.

FIG. 37 is a system diagram showing a display order of various graphs.

FIG. 38 is a schematic flowchart showing the operation of this system.

FIG. 39 is a table showing an example of a screen for selecting a population.

FIG. 40 is a table showing an example of a screen prompting selection of subsystems.

FIG. 41 is a detailed flowchart of subsystem selection processing.

FIG. 42 is a flow chart for executing new registration / update of data.

FIG. 43 is a detailed flowchart for realizing data analysis / search.

FIG. 44 is a table showing a selection condition setting screen displayed on the screen.

FIG. 45 is another table showing the selection condition setting displayed on the screen.

[Explanation of symbols]

10 arithmetic processing device: CPU (arithmetic processing means) 11 keyboard (input means) 12 printer 14 CRT display (display means) 16 memory (storage means) 16A patient background data file, 16B MIC data file (drug effectiveness data file) 18 bus lines

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[Procedure amendment]

[Submission date] January 5, 1996

[Procedure amendment 2]

[Document name to be amended] Statement

[Correction target item name] Brief description of drawings

[Correction method] Change

[Correction contents]

[Brief description of drawings]

FIG. 1 is a schematic configuration diagram of a system according to an embodiment of the present invention.

FIG. 2 is a table showing a hierarchical file structure realized in the memory of the system.

FIG. 3 is a table showing the format of a patient background data file.

FIG. 4 is a table showing an example of each master file stored in advance in a memory.

FIG. 5 is a table showing another example of each master file stored in advance in a memory.

FIG. 6 is a table showing another example of each master file stored in advance in a memory.

FIG. 7 is a table showing the format of a drug sensitivity result data file.

FIG. 8 is a table showing the format of a master file related to the creation of a drug sensitivity result data file.

FIG. 9 is a table showing an example of how to give a code to a drug name.

FIG. 10 is a functional block diagram of a subsystem related to the system.

FIG. 11 is a table showing an example of an input format displayed on the screen of the CRT.

FIG. 12 is a table showing a second mode of the input format.

FIG. 13 is a table showing a third aspect of the input format.

FIG. 14 is a table showing a first format for updating data.

FIG. 15 is a table showing an example of a screen displaying a list of file lists.

FIG. 16 is a table showing another example of a screen displaying a list of file lists.

FIG. 17 is a table showing yet another example of a screen displaying a list of file lists.

FIG. 18 is a table showing still another example of a screen displaying a list of file lists.

FIG. 19 is a table showing yet another example of a screen displaying a list of file lists.

FIG. 20 is a table showing an example of a detailed screen (format) for updating data.

FIG. 21 shows a set of a cumulative percentage graph showing the relationship between the MIC and the cumulative percentage for each drug against Pseudomonas aeruginosa and a set of tabulations.
It is a chart .

FIG. 22 is a graph showing the relationship between MIC and percentage of each drug against Pseudomonas aeruginosa.

FIG. 23 is a cumulative percentage chart realized by displaying percentages / distributions by bacteria.

FIG. 24 is a cumulative percentage chart and an aggregate chart realized by displaying the percentages and distributions by bacteria.

Figure 25 is a cumulative percentage chart and summary index view table is realized by the bacteria by a percentage-distribution display.

FIG. 26 is a percentage chart realized by displaying the percentage and distribution of bacteria.

27 is a percentage figure and summary view table realized by fungi by percentage-distribution display.

28A and 28B are a percentage chart and a count rate chart realized by displaying the percentage and distribution of bacteria.

FIG. 29 is a tabulation chart realized by displaying the percentage and distribution of bacteria.

FIG. 30 is a tabulation rate chart realized by displaying percentages / distributions by bacteria.

A line chart example of schedule implemented by Fig. 31 MIC bacteria another display function is shown to Chart.

FIG. 32 is a chart showing an example of the radar chart.

FIG. 33 is a range chart for a summary chart of drug sensitivity results.

FIG. 34 is a correlation chart relating to drug susceptibility results for two types of drugs.

FIG. 35 is a bar graph showing an example of chronological display of drug susceptibility results for Pseudomonas aeruginosa.

FIG. 36 is a bar graph showing the ratio of bacteria isolated at the same time as Pseudomonas aeruginosa per patient-derived sample.

FIG. 37 is a system diagram showing a display order of various graphs.

FIG. 38 is a schematic flowchart showing the operation of this system.

FIG. 39 is a table showing an example of a screen for selecting a population.

FIG. 40 is a table showing an example of a screen prompting selection of subsystems.

FIG. 41 is a detailed flowchart of subsystem selection processing.

FIG. 42 is a flow chart for executing new registration / update of data.

FIG. 43 is a detailed flowchart for realizing data analysis / search.

FIG. 44 is a table showing a selection condition setting screen displayed on the screen.

FIG. 45 is another table showing the selection condition setting displayed on the screen.

[Explanation of Codes] 10 arithmetic processing unit: CPU (arithmetic processing means) 11 keyboard (input means) 12 printer 14 CRT display (display means) 16 memory (storage means) 16A patient background data file, 16B MIC data file (of drug) Effectiveness data file) 18 bus lines

Claims (5)

[Claims] 1. A system including an arithmetic processing unit, a storage unit, an input unit, and a display unit, the system including a device used for evaluating the effectiveness of a drug, wherein the display unit is for data input. Screen and the data analysis screen are displayed, the data input screen displays the data input format that indicates the efficacy of the drug, and the data analysis screen selects the group to be analyzed. A first screen for displaying, and a second screen for selecting a desired one from a plurality of display modes when displaying the analysis results for this group in a chart, wherein the input means Predetermined data can be input to the device via a screen displayed on the display unit, the storage unit stores a file containing data indicating the effectiveness of a drug, and the arithmetic processing unit is configured to store the file. A new file is stored in the storage means from the data input via the mat, or an existing file is updated and stored in the storage means, and further input via the first screen. A group to be analyzed from the files stored in the storage means based on the selected data, and based on the display mode selected by the second screen,
A system for evaluating the efficacy of a drug, wherein the analysis result for the efficacy of the drug of this group is displayed on the display means as a chart. 2. The system of claim 1, wherein the efficacy of the drug is indicated by the sensitivity of a given bacterial species to a given chemotherapeutic agent. 3. The system according to claim 2, wherein the file stores a minimum inhibitory concentration that a bacterium isolated by a plurality of medical institutions shows for a given antibiotic. 4. The system according to claim 3, wherein said arithmetic processing means graphically shows the temporal variation of said minimum inhibitory concentration on said display means. 5. The file comprises a patient background data file that stores background data of patients created for each of a plurality of patients, and drug efficacy data that stores data relating to the efficacy of a drug against a bacterium isolated from each patient. A system according to any one of claims 1 to 4, comprising a file.