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Modeling seizure self-prediction: an e-diary study.

ABSTRACT: A subset of patients with epilepsy successfully self-predicted seizures in a paper diary study. We conducted an e-diary study to ensure that prediction precedes seizures, and to characterize the prodromal features and time windows that underlie self-prediction.Subjects 18 or older with localization-related epilepsy (LRE) and ?3 seizures per month maintained an e-diary, reporting a.m./p.m. data daily, including mood, premonitory symptoms, and all seizures. Self-prediction was rated by, "How likely are you to experience a seizure (time frame)?" Five choices ranged from almost certain (>95% chance) to very unlikely. Relative odds of seizure (odds ratio, OR) within time frames was examined using Poisson models with log normal random effects to adjust for multiple observations.Nineteen subjects reported 244 eligible seizures. OR for prediction choices within 6 h was as high as 9.31 (CI 1.92-45.23) for "almost certain." Prediction was most robust within 6 h of diary entry, and remained significant up to 12 h. For nine best predictors, average sensitivity was 50%. Older age contributed to successful self-prediction, and self-prediction appeared to be driven by mood and premonitory symptoms. In multivariate modeling of seizure occurrence, self-prediction (2.84; CI 1.68-4.81), favorable change in mood (0.82; CI 0.67-0.99), and number of premonitory symptoms (1.11; CI 1.00-1.24) were significant.Some persons with epilepsy can self-predict seizures. In these individuals, the odds of a seizure following a positive prediction are high. Predictions were robust, not attributable to recall bias, and were related to self-awareness of mood and premonitory features. The 6-h prediction window is suitable for the development of preemptive therapy.

SUBMITTER: Haut SR

PROVIDER: S-EPMC3833277 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Modeling seizure self-prediction: an e-diary study.

Haut Sheryl R SR Hall Charles B CB Borkowski Thomas T Tennen Howard H Lipton Richard B RB

Epilepsia 20130920 11

<h4>Purpose</h4>A subset of patients with epilepsy successfully self-predicted seizures in a paper diary study. We conducted an e-diary study to ensure that prediction precedes seizures, and to characterize the prodromal features and time windows that underlie self-prediction.<h4>Methods</h4>Subjects 18 or older with localization-related epilepsy (LRE) and ≥3 seizures per month maintained an e-diary, reporting a.m./p.m. data daily, including mood, premonitory symptoms, and all seizures. Self-pre ...[more]

PMID: 24111898

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Project description:Recent research has investigated how the sense of relational entitlement (SRE, the extent to which a person expects that his/her needs and wishes will be fulfilled by the romantic partner) diminishes couple satisfaction, but little is known about how SRE affects the daily quality of close, romantic relationships. Moreover, the evidence on how SRE interacts with other features of a satisfying relationship (such as the variables of the interpersonal process model of relationships-self-disclosure, perceived partner disclosure, and perceived partner responsiveness) is scarce. Using an electronic daily diary, we examined 99 couples (198 participants) for 7 days, with two daily measurements for each partner. We used a dyadic double intercept multilevel model, which simultaneously computes effects for men and women. We tested a model where one partner's daily couple satisfaction was predicted by their overall levels of SRE (excessive, restricted, and assertive) and by their daily and overall levels of self-disclosure, perceived partner self-disclosure, and perceived partner responsiveness. The model also included person-level interactions and cross-level interactions between the SRE types and variables of the interpersonal process model of relationships for each gender. The analysis indicated that person-level excessive SRE lowers couple satisfaction. Also, day and person-level perceived partner responsiveness and person-level self-disclosure are related to couple satisfaction, but the latter association is significant only for men. Finally, we found some significant person-level interactions that account for changes in couple satisfaction. For men, the links between couple satisfaction, excessive and restricted SRE were moderated by self-disclosure and perceived partner responsiveness, respectively, perceived partner self-disclosure and perceived partner responsiveness. For women, the associations between couple satisfaction, restricted and assertive SRE were moderated by self-disclosure, respectively, perceived partner self-disclosure. This study advances our understanding of the general implications of SRE in the dynamics of couple relationships. More specifically, it shows how SRE interacts with other couple-specific variables in shaping day-to-day couple satisfaction. The theoretical and clinical implications for couple therapy are discussed.

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Modeling seizure self-prediction: an e-diary study.

Publications

Modeling seizure self-prediction: an e-diary study.

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