System, devices, and methods for real-time monitoring of cerebrospinal fluid for markers of progressive conditions

• US 20120238839A1
• Filed: 03/17/2011
• Published: 09/20/2012
• Est. Priority Date: 03/16/2011
• Status: Abandoned Application

• Current Assignee: Lowell L. Wood Jr, Roderick A. Hyde, Sharon L. Wolda
• Original Assignee: Lowell L. Wood Jr, Roderick A. Hyde, Sharon L. Wolda
• Inventors: Hyde, Roderick A., Wolda, Sharon L., Wood, Lowell L. Jr.
• Application Number:
  US13/065,332
• Publication Number:
  US 20120238839A1
• Time in Patent Office: Days
• US Class Current: 600/310
• CPC Class Codes: A61B 5/14507 specially adapted for measuring characteristics of body fluids other than blood devices for taking samples of body liquids A61B10/0045
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1459 invasive, e.g. introduced into the body by a catheter A61B5/1464 takes precedence
• CPC Class Codes: A61B 5/4058 for evaluating the central nervous system A61B5/4806, A61B5/4821 take precedence
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• CPC Class Codes: A61B 5/6868 Brain
• CPC Class Codes: A61M 27/006 Cerebrospinal drainage; Accessories therefor, e.g. valves

Abstract

Systems, devices, methods, and compositions are described for providing real-time monitoring of cerebrospinal fluid for markers of progressive conditions.

Claims

1-323. -323. (canceled)

324. A method, comprising:

detecting, in vivo, a compositional profile of one or more cerebrospinal fluid measurands obtained at a plurality of sequential time points from a cerebrospinal fluid received within an indwelling implant;

partitioning the detected compositional profile into one or more information subsets; and

performing a real-time comparison of at least one of the one or more information subsets to reference neuropsychiatric disorder compositional information.

325. The method of claim 324, wherein partitioning the detected compositional profile into the one or more information subsets includes grouping spectral information into one or more information subsets using a clustering protocol.

327. The method of claim 324, wherein partitioning the detected compositional profile into the one or more information subsets includes grouping spectral information into one or more information subsets using at least one Spectral Learning protocol.

329. The method of claim 324, wherein performing the real-time comparison includes electronically determining a rate of deviation from threshold criteria.

330. The method of claim 324, wherein performing the real-time comparison includes determining a relative change of two or more of the one or more cerebrospinal fluid measurands.

331. The method of claim 324, further comprising:

determining whether a change in a level of the one or more cerebrospinal fluid measurands has occurred.

332. The method of claim 324, further comprising:

predicting an onset of a neuropsychiatric disorder based at least in part on the real-time comparison of the at least one of the one or more information subsets to the reference neuropsychiatric disorder compositional information.

333. The method of claim 324, further comprising:

transcutaneously communicating real-time comparison information stored in a data structure in the indwelling implant.

334. The method of claim 324, further comprising:

transcutaneously communicating information associated with the real-time comparison of at least one of the one or more information subsets to the reference neuropsychiatric disorder compositional information.

326. (canceled)

328. (canceled)

335. A method, comprising:

executing at least one of a Spectral Clustering protocol and a Spectral Learning protocol operable to compare one or more parameters from an in vivo detected energy spectral profile associated with at least one cerebrospinal fluid component, obtained at a plurality of sequential time points from a cerebrospinal fluid received within an indwelling implant, to one or more information subsets associated with reference neuropsychiatric disorder compositional information.

336. The method of claim 335, wherein executing the at least one of the Spectral Clustering protocol and the Spectral Learning protocol includes executing at least one of

a Fuzzy C-Means Clustering protocol, a Graph-Theoretic protocol, a Hierarchical Clustering protocol, a K-Means Clustering protocol, a Locality-Sensitive Hashing protocol, a Mixture of Gaussians protocol, a Model-Based Clustering protocol, a Cluster-Weighted Modeling protocol, an Expectations-Maximization protocol, a Principal Components Analysis protocol, or a Partitional protocol.

337. The method of claim 335, further comprising:

exposing a portion of the cerebrospinal fluid received with an indwelling implant to electromagnetic radiation from an electromagnetic energy emitter; and

detecting an electromagnetic radiation absorption profile based at least in part on at least one of a transmitted electromagnetic radiation or a reflected electromagnetic radiation from the portion of the cerebrospinal fluid received with an indwelling implant

prior to executing the at least one of the Spectral Clustering protocol or the Spectral Learning protocol.

338. The method of claim 335, further comprising:

generating the in vivo detected energy spectral profile prior to executing the at least one of the Spectral Clustering protocol or the Spectral Learning protocol.

339. The method of claim 335, further comprising:

generating a response based at least in part on the comparison of the one or more parameters from the in vivo detected energy spectral profile to the one or more information subsets associated with the reference neuropsychiatric disorder compositional information.

341. The method of claim 339, wherein generating the response includes generating at least one code indicative of a no psychosis state, a pre-psychosis state, or a psychosis state.

342. The method of claim 339, wherein generating the response includes generating at least one code indicative of a schizophrenia, bipolar disorder, depression, or neuropsychosis.

344. The method of claim 339, wherein generating the response includes generating at least one code indicative of a prodromal state of psychosis or a first-onset state of psychosis.

345. The method of claim 339, wherein generating the response includes generating at least one code indicative of a predisposition to suicide.

346. The method of claim 339, wherein generating the response includes generating a response based on a comparison of one or more parameters from the in vivo detected energy spectral profile to a threshold diameter of at least one cluster associated with a set of reference cluster information associated with the reference neuropsychiatric disorder compositional information.

349. The method of claim 339, wherein generating the response includes updating at least one parameter associated with the statistical learning model in response to a comparison of the one or more parameters from the in vivo detected energy spectral profile to the reference neuropsychiatric disorder compositional information.

350. The method of claim 335, further comprising:

predicting an onset of a neuropsychiatric disorder based on a comparison of the one or more parameters from the in vivo detected energy spectral profile to the one or more information subsets associated with the reference neuropsychiatric disorder compositional information.

351. The method of claim 335, further comprising:

predicting a time to onset of a neuropsychiatric disorder based on a comparison of the one or more parameters from the in vivo detected energy spectral profile to the one or more information subsets associated with the reference neuropsychiatric disorder compositional information.

340. (canceled)

343. (canceled)

347. (canceled)

348. (canceled)

352. A method, comprising:

performing a real-time comparison of a first detected electromagnetic energy absorption profile of a first portion of a cerebrospinal fluid proximate an indwelling implant sensor to characteristic cerebrospinal fluid spectral information;

determining whether a neuropsychiatric disorder status change has occurred;

obtaining a second detected electromagnetic energy absorption profile of a second portion of a cerebrospinal fluid proximate an indwelling implant sensor;

performing a real-time comparison of the second detected optical energy absorption profile to the characteristic cerebrospinal fluid spectral information; and

determining whether a neuropsychiatric disorder status change has occurred.

353. The method of claim 352, further comprising:

activating at least one of a statistical learning modeling protocol or a heuristic trend analysis protocol based on a result of the real-time comparison of the first detected electromagnetic energy absorption profile to at least one parameter associated with the statistical learning model; and

generating time-varying spectral information based on the real-time comparison of the first detected electromagnetic energy absorption profile, the second detected electromagnetic energy absorption profile, or the difference of the at least one spectral component thereof to the statistical learning model associated with the biological subject.

354-391. -391. (canceled)