CN108877934A - A kind of prognostic indicator forecasting system for brain injury patients - Google Patents
A kind of prognostic indicator forecasting system for brain injury patients Download PDFInfo
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- CN108877934A CN108877934A CN201710341142.8A CN201710341142A CN108877934A CN 108877934 A CN108877934 A CN 108877934A CN 201710341142 A CN201710341142 A CN 201710341142A CN 108877934 A CN108877934 A CN 108877934A
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- brain injury
- admitted
- hospital
- scoring
- prognostic indicator
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- 208000029028 brain injury Diseases 0.000 title claims abstract description 21
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 238000013178 mathematical model Methods 0.000 claims abstract description 9
- 206010039897 Sedation Diseases 0.000 claims abstract description 4
- 230000036280 sedation Effects 0.000 claims abstract description 4
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 6
- 206010019196 Head injury Diseases 0.000 claims description 6
- 239000008280 blood Substances 0.000 claims description 6
- 210000004369 blood Anatomy 0.000 claims description 6
- JVTAAEKCZFNVCJ-UHFFFAOYSA-N lactic acid Chemical compound CC(O)C(O)=O JVTAAEKCZFNVCJ-UHFFFAOYSA-N 0.000 claims description 6
- 208000030886 Traumatic Brain injury Diseases 0.000 claims description 5
- 230000000740 bleeding effect Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 239000001569 carbon dioxide Substances 0.000 claims description 3
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 239000004310 lactic acid Substances 0.000 claims description 3
- 235000014655 lactic acid Nutrition 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 238000011160 research Methods 0.000 claims description 3
- 230000035488 systolic blood pressure Effects 0.000 claims description 3
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims description 2
- 239000008103 glucose Substances 0.000 claims description 2
- 210000001367 artery Anatomy 0.000 claims 1
- 210000003462 vein Anatomy 0.000 claims 1
- 238000004393 prognosis Methods 0.000 abstract description 3
- 238000005070 sampling Methods 0.000 abstract 1
- 208000022306 Cerebral injury Diseases 0.000 description 4
- 208000027418 Wounds and injury Diseases 0.000 description 4
- 230000006378 damage Effects 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 3
- 208000014674 injury Diseases 0.000 description 3
- 206010039203 Road traffic accident Diseases 0.000 description 1
- AUYYCJSJGJYCDS-LBPRGKRZSA-N Thyrolar Chemical class IC1=CC(C[C@H](N)C(O)=O)=CC(I)=C1OC1=CC=C(O)C(I)=C1 AUYYCJSJGJYCDS-LBPRGKRZSA-N 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004868 gas analysis Methods 0.000 description 1
- 231100000518 lethal Toxicity 0.000 description 1
- 230000001665 lethal effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000005495 thyroid hormone Substances 0.000 description 1
- 229940036555 thyroid hormone Drugs 0.000 description 1
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention relates to the forecasting system of brain injury patients prognostic indicator, including sampling, founding mathematical models, human-computer interaction interface is established, realizes through the index of being admitted to hospital of input brain injury patients, obtain the prognostic indicator predicted value of the patient immediately.The present invention analyzes the be hospitalized clinical data of certain amount brain injury patients of the court, sample size is greater than 100, collect age when patient is admitted to hospital, gender, APACHE II scoring, GCS scoring, the indexs such as RASS sedation score, as achievement data of being admitted to hospital, using follow-up Ge Lasi Prognostic scoring system (GOS) scoring in 3 months to 1 year as prognostic indicator data, the mathematical model that brain injury patients prognostic indicator is established between index of being admitted to hospital, and establish human-computer interaction interface, realize the index of being admitted to hospital by input brain injury patients, the prognostic indicator predicted value of the patient is obtained immediately.Forecasting system through the invention can assess the prognosis situation of brain injury patients in advance, can reduce and put into more medical resources to late mortality or plant life status patients, so that limited medical resource be made reasonably to be distributed.
Description
Technical field
The present invention relates to the diagnosis prediction systems of critical patients, more particularly, to the prediction of brain injury patients prognostic indicator
System.
Background technique
Mainly caused by the reasons such as traffic accident, tumble injury and Falling Injury, firearm injury, cerebral injury death accounts for all cerebral injury
Wound it is lethal 70%, the death rate and disability rate are in first of parts of body damage.In addition to correct diagnosis operation in time, add
Strong monitoring is to give treatment to the importance of levels of thyroid hormone in craniocerebral trauma patients.Vital sign patient, blood are collected when patients with sevious craniocerebral injury is admitted to hospital
Gas analysis, chemical examination and the indexs such as amount of bleeding, midline shift find in clinic, these are admitted to hospital indexs and patient's prognostic indicator has one
Fixed correlation, but due to being admitted to hospital, index quantity is big, type is various, it is difficult to it accurately carries out being admitted to hospital between index and prognostic indicator
Multiplicity.Currently, the mathematical model in terms of existing cerebral injury in breadth and depth not enough, cannot reflect comprehensively
Complicated rule non-linear present in it, factor interaction, to instructing diagnosis and treatment to have its limitation, cannot establish cerebral injury
The forecasting system of the prognostic indicator of patient.
Summary of the invention
In order to solve the problems, such as that brain injury patients cannot accurately predict prognosis situation when being admitted to hospital in time in advance, this
Invention establishes human-computer interaction interface by the mathematical model of establishing brain injury patients prognostic indicator between index of being admitted to hospital, realizes
By inputting the index of being admitted to hospital of brain injury patients, the prognostic indicator predicted value of the patient is obtained immediately, in time to brain injury patients
Prognosis situation predicted.
The scheme that the present invention uses is：
First, the clinical data of acquisition certain amount brain injury patients is analyzed, and sample size is greater than 100, is collected
Following items when research object is admitted to hospital：Age, gender, APACHE II scoring, GCS scoring, heart rate (HR), systolic pressure (SBP),
Iconography amount of bleeding, midline shift, arterial partial pressure of oxygen (PO2), arterial partial pressure of carbon dioxide (PCO2), lactic acid (Lac), blood
Sugared (BG), RASS sedation score and follow-up 3 months to 1 year lattice Lars Prognostic scoring system (GOS) scoring (5 points of systems, wherein 5 is extensive
It is multiple good：Restore normal life, in spite of slight defect；4 mild disabilities：It is disabled but can live on one's own life, it can work under protection；
3 severe disabilities：Awake, disabled, daily life needs to take care of；2 plant lifes：Only minimal reaction is such as with sleep/awake week
Phase, eyes can be opened；1 is dead：It is dead), the above-mentioned project indicator is registered, database is established.
Second, above-mentioned all data are handled, using stepwise regression method；It establishes patients with sevious craniocerebral injury prognostic indicator and is admitted to hospital
Polynary quadratic regression mathematical model between index, the quadratic term in model can more preferably reflect the reciprocation between being admitted to hospital index, make
Model is more accurate.
Third, application development language establish human-computer interaction interface, realize the finger of being admitted to hospital by input brain injury patients
Mark, obtains the prognostic indicator predicted value of the patient immediately.
Detailed description of the invention
Attached drawing 1 is the forecasting system structural schematic diagram of brain injury patients prognostic indicator
Attached drawing 2 is prognostic indicator forecasting system human-computer interaction interface structure chart provided in an embodiment of the present invention
Specific embodiment
In order to which technical problems, technical solutions and advantages to be solved are more clearly understood, tie below
Accompanying drawings and embodiments are closed, the present invention will be described in detail.It should be noted that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
According to attached system structure shown in FIG. 1, it is embodied as follows：
First, using 130 brain injury patients as sample, following items when collection research object is admitted to hospital：Age, gender,
APACHE II scoring, GCS scoring, heart rate (HR), systolic pressure (SBP), iconography amount of bleeding, midline shift, arterial blood oxygen
(PO2), arterial partial pressure of carbon dioxide (PCO2), lactic acid (Lac), blood glucose (BG), RASS sedation score are pressed, is referred to as to be admitted to hospital
Mark, uses X respectively1To X12It indicates, with lattice Lars Prognostic scoring system (GOS) scoring in follow-up 3 months to 1 year for prognostic indicator, with Y table
Show.
Second, it handles above-mentioned all data and establishes patients with sevious craniocerebral injury prognostic indicator using stepwise regression method and be admitted to hospital
Polynary quadratic regression mathematical model between index.
Mathematical model is：
Y=4.428-0.011X6-0.4903X12-0.1043X12*X12-0.007X1*X2+0.01X1*X12-0.005lX3*X7
+0.0021X3*X8-0.0001X4*X5-0.0025X4*X10+0.0005X4*X11-0.021X11*X12
Third, is based on mathematical model above-mentioned, and application development language establishes human-computer interaction interface, human-computer interaction circle
Face structure chart is as shown in Fig. 2, realizes through the index of being admitted to hospital of input brain injury patients, obtains the prognostic indicator of the patient immediately
Predicted value.
Using attached human-computer interaction interface shown in Fig. 2, by taking certain is hospitalized patients with sevious craniocerebral injury as an example, each factor data of patient
(press X1To X12Sequentially) it is 62,19,13,61,168,40,12,92,40,3.1,11,3, after entering data into system, starts
It calculates, can show that the GOS scoring calculated value of patient is 3 immediately.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to restrict the invention, all in original of the invention
Then with any modifications, equivalent replacements, and improvements made within spirit etc., it is included within protection scope of the present invention.
Claims (1)
1. a kind of forecasting system of brain injury patients prognostic indicator, it is characterised in that：Include the following steps：
S1. the clinical data for acquiring certain amount brain injury patients is analyzed, following items when collection research object is admitted to hospital：Year
Age, gender, APACHE II scoring, GCS scoring, it is heart rate (HR), systolic pressure (SBP), iconography amount of bleeding, midline shift, dynamic
Arteries and veins blood oxygen pressure (PO2), arterial partial pressure of carbon dioxide (PCO2), lactic acid (Lac), blood glucose (BG), RASS sedation score, and
Lattice Lars Prognostic scoring system (GOS) scoring in follow-up 3 months to 1 year, registers the above-mentioned project indicator, establishes database；
S2. above-mentioned all data are handled, using stepwise regression method, patients with sevious craniocerebral injury prognostic indicator is established and is admitted to hospital between index
Polynary quadratic regression mathematical model；
S3. application development language establishes human-computer interaction interface, realizes the index of being admitted to hospital by input brain injury patients, stands
Obtain the prognostic indicator predicted value of the patient.
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| CN201710341142.8A CN108877934A (en) | 2017-05-10 | 2017-05-10 | A kind of prognostic indicator forecasting system for brain injury patients |
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| CN201710341142.8A CN108877934A (en) | 2017-05-10 | 2017-05-10 | A kind of prognostic indicator forecasting system for brain injury patients |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117497182A (en) * | 2023-08-02 | 2024-02-02 | 上海长征医院 | Traumatic brain injury ending prediction system based on machine learning and physical sign time sequence |
Citations (3)
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|---|---|---|---|---|
| CN101554322A (en) * | 2008-04-09 | 2009-10-14 | 陈敦金 | System for estimating state of critically ill patient in obstetrical department |
| CN106055898A (en) * | 2016-05-27 | 2016-10-26 | 石河子大学 | Prognosis method for patients with gastric carcinoma |
| US20160317049A1 (en) * | 2006-12-19 | 2016-11-03 | Valencell, Inc. | Apparatus, Systems, and Methods for Measuring Environmental Exposure and Physiological Response Thereto |
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2017
- 2017-05-10 CN CN201710341142.8A patent/CN108877934A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160317049A1 (en) * | 2006-12-19 | 2016-11-03 | Valencell, Inc. | Apparatus, Systems, and Methods for Measuring Environmental Exposure and Physiological Response Thereto |
| CN101554322A (en) * | 2008-04-09 | 2009-10-14 | 陈敦金 | System for estimating state of critically ill patient in obstetrical department |
| CN106055898A (en) * | 2016-05-27 | 2016-10-26 | 石河子大学 | Prognosis method for patients with gastric carcinoma |
Non-Patent Citations (2)
| Title |
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| 史周华等: "《中医药统计学与软件应用》", 30 June 2015 * |
| 程崇杰等: "临床征象对弥漫性轴索损伤患者预后判断的价值", 《中华创伤杂志》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117497182A (en) * | 2023-08-02 | 2024-02-02 | 上海长征医院 | Traumatic brain injury ending prediction system based on machine learning and physical sign time sequence |
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Application publication date: 20181123 |