Large intestine contents' diagnosis and acoustic characterization

• US 9,775,865 B2
• Filed: 04/26/2016
• Issued: 10/03/2017
• Est. Priority Date: 08/24/2015
• Status: Active Grant

• Current Assignee: HyGIeaCare, Inc.
• Original Assignee: HyGIeaCare, Inc.
• Inventors: Meron, Gavriel David, Frisch, Mordechai Yehuda
• Primary Examiner(s): GITOMER, RALPH J
• Application Number:
  US15/138,594
• Publication Number:
  US 20170056451A1
• Time in Patent Office: 525 Days
• Field of Search: None
• CPC Class Codes: A61B 2505/05 Surgical care
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 5/42 Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems A61B1/00, A61B5/4857, A61B5/486, A61B5/4866, A61B5/4869 take precedence
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 7/008 Detecting noise of gastric tract, e.g. caused by voiding
• CPC Class Codes: A61K 2035/11 Medicinal preparations comprising living procariotic cells
• CPC Class Codes: A61K 35/37 Digestive system
• CPC Class Codes: A61K 35/74 Bacteria therapeutic use of a bacterial protein A61K38/00
• CPC Class Codes: A61K 9/0031 Rectum, anus
• CPC Class Codes: A61M 1/77 Suction-irrigation systems aspiration tips supplying fluids A61M1/85; specific for negative pressure wound therapy A61M1/92; combined with tracheal tubes A61M16/0463
• CPC Class Codes: A61M 2202/203 Bacteria
• CPC Class Codes: A61M 2205/3306 Optical measuring means
• CPC Class Codes: A61M 2205/3375 Acoustical, e.g. ultrasonic, measuring means
• CPC Class Codes: A61M 3/0204 Physical characteristics of the irrigation fluid, e.g. conductivity or turbidity
• CPC Class Codes: A61M 3/0212 after use
• CPC Class Codes: C12Q 1/04 Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor C12Q1/6897 takes precedence

Abstract

Systems, kits and methods are provided, which analyze the large intestine content and utilize acoustic signals detected during delivery of water into the large intestine and drained large intestine contents to derive large intestine characteristics such as microbiotal analysis. Systems may include a water delivery unit including a water supply and a nozzle connected thereto, configured to introduce water controllably into a patient'"'"'s large intestine, and an analysis unit that provides information about the drained contents using optical examination or biological assays. The information may be related to acoustic analysis of signals from acoustic sensors that are attachable to a patient'"'"'s abdomen. A variety of sensor configurations, positioning options, analysis strategies and large intestine characteristics are presented.

Claims

1. A method of large intestine diagnosis and treatment, comprising:

introducing water controllably into a patient'"'"'s large intestine,

draining, by gravity, the introduced water with contents of the patient'"'"'s large intestine,

relating at least two portions of the drained contents with at least two sections of the large intestine, after the draining and according to at least one of;

time of drainage of the portions, and characteristics of the drained content,

deriving microbiome characteristics of the at least two sections of the large intestine by analyzing the corresponding at least two portions of the drained contents, and

applying a treatment to the large intestine according to the derived microbiome characteristics of the at least two sections.

2. The method of claim 1, further comprising determining a large intestine cleanliness level according to the drained contents of the patient'"'"'s large intestine.

3. The method of claim 1, wherein the relating is carried out optically at a transparent drainage pipe through which the contents are drained.

4. The method of claim 1, wherein the deriving is carried out using at least most of the drained contents.

5. The method of claim 1, further comprising deriving large intestine characteristics by analyzing parameters of the drained water and contents.

6. The method of claim 1, wherein applying the treatment comprises transplanting a microbiota transplant (MT) into the patient'"'"'s large intestine, the MT selected according to the derived microbiome characteristics of the at least two sections of the large intestine.

7. The method of claim 6, wherein the MT is a fecal microbiota transplant (FMT).

8. The method of claim 7, wherein the FMT is an autologous FMT derived from prior large intestine drainage.

9. The method of claim 1, further comprising:

modifying a pressure of the introduced water,

measuring a pressure of the drained water and contents, and

deriving large intestine characteristics by correlating the measured drainage pressure with the pressure of introduced water according to a specified model.

10. The method of claim 1, further comprising:

sensing acoustic signals at a patient'"'"'s abdomen, and

deriving large intestine characteristics by analyzing the sensed acoustic signals associated with the water introduction.

11. The method of claim 1, further comprising storing a plurality of the drained contents'"'"' samples from a plurality of the patients, associated with the derived microbiome characteristics of the drained contents samples.

12. The method of claim 1, further comprising:

selecting a microbiota transplant (MT) according to the derived microbiome characteristics of the at least two sections of the large intestine, and

transplanting the MT into the patient'"'"'s large intestine.

13. A method of large intestine diagnosis and treatment, comprising:

introducing water controllably into a patient'"'"'s large intestine,

draining, by gravity, the introduced water with contents of the patient'"'"'s large intestine,

relating at least two portions of the drained contents with at least two sections of the large intestine, after the draining and according to at least one of;

time of drainage of the portions, and characteristics of the drained content,

deriving microbiome characteristics of the at least two sections of the large intestine by analyzing the corresponding at least two portions of the drained contents,

selecting a microbiota transplant (MT) according to the derived microbiome characteristics of the at least two sections of the large intestine, and

transplanting the MT into the patient'"'"'s large intestine.