A partial least squares analysis of seizure outcomes following resective surgery for tuberous sclerosis complex in children with intractable epilepsy

Ibrahim, George M.; Morgan, Benjamin R.; Fallah, Aria

doi:10.1007/s00381-014-2600-7

Cited by 13 publications

(12 citation statements)

References 9 publications

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“…The PLS regression is a multivariate data analytical technique that generalizes and combines features from principal component analysis and multiple regression [25], providing a regression method for multiple dependent or independent variables, especially suitable for the multicollinearity with independent variables or the samples are less than the number of independent variables [26]. The synthetic action of individual factors on the predictive values is fully considered in the regression.…”

Section: Discussionmentioning

confidence: 99%

Recognition and Optimization of Ingredients Treating Nitroglycerin-Induced Migraine Rats from Wuzhuyu Decoction

et al. 2019

Evidence-Based Complementary and Alternative Medicine

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Wuzhuyu decoction (WZYD) has been clinically used to treat migraine effectively since Eastern Han Dynasty of ancient China. However, its antimigrainic ingredients remain unclear. In present study, the antimigrainic ingredients of WZYD were explored and optimized in nitroglycerin-induced migraine rats through correlation analysis of decoction spectra-pharmacological effects and absorption spectra-pharmacological using entropy-weighted partial least squares regression method. The decoction spectra and absorption spectra were obtained through the determination of nine main ingredients in ten kinds of WZYDs and WZYDs’ single-pass intestinal perfusion samples using high performance liquid chromatography-diode array detector. The pharmacodynamics indexes related to migraine model rats were detected using high performance liquid chromatography method and kits after oral administration of WZYDs. Then, the key ingredients influencing indexes were achieved through the correlation analysis. And the optimization of key ingredients was acquired through uniform design experiment. The pharmacodynamic verification test was used to clarify the advantages of the optimized sample. The results showed that the final optimized sample, in which the concentrations of rutaecarpine, evodiamine, ginsendside Rb1, 6-gingerol, ginsendside Rg1, rutaevine, and limonin were 0.081, 0.565, 1.455, 0.159, 0.871, 0.178, and 0.009 mg·mL−1, respectively, provided the best comprehensive effect than another optimized sample and the best uniform design sample. Therefore, a new reliable method for rapidly recognizing and optimizing the effective constituents of WZYD treating migraine was established.

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Section: Discussionmentioning

confidence: 99%

Recognition and Optimization of Ingredients Treating Nitroglycerin-Induced Migraine Rats from Wuzhuyu Decoction

et al. 2019

Evidence-Based Complementary and Alternative Medicine

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“…A critical strength of PLS is its ability to overcome problems relating to multicollinearity; therefore, unlike traditional regression techniques, PLS does not require any preformed hypotheses or assumptions regarding the importance of particular variables 10 , 11 . As a purely data-driven method, PLS hence has the potential to unveil novel associations that may not be intuitive, hypothesized to exist, or readily apparent.…”

Section: Discussionmentioning

confidence: 99%

“…Multi-dimensional associations between clinical covariates (predictors) and outcome measures were assessed using PLS for all subjects with complete baseline and 2-year follow-up data. Detailed methodology has been published previously 11 , 18 .…”

Section: Methodsmentioning

confidence: 99%

“…The resampling distribution was used to derive standard errors and 95% confidence intervals for the contributions of each variable to the component. A bootstrap ratio, the ratio of each element in U and V to its bootstrap-estimated standard error (similar to a z score), was calculated to estimate the statistical reliability of each variable weighted by its contribution to the overall latent variable 11 , 18 , 20 . Significance was determined using |z|> 3.29, corresponding to p < 0.001.…”

Section: Methodsmentioning

confidence: 99%

“…PLS affords the opportunity to distill combinations of individual patient characteristics into common “phenotypes” that may be associated with outcomes. Further, as an advanced data-driven approach, PLS does not rely on any preconceived assumptions or hypotheses to test associations between predictors and outcomes 10 , 11 . These features make PLS a potentially powerful tool in the analysis of complex relationships in epidemiological datasets; however, little work has been done in the application of PLS analysis to DCM specifically.…”

Section: Introductionmentioning

confidence: 99%

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A partial least squares analysis of functional status, disability, and quality of life after surgical decompression for degenerative cervical myelopathy

Badhiwala

Khan

Wegner

et al. 2020

Sci Rep

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Previous studies aimed at identifying predictors of clinical outcomes following surgical decompression for degenerative cervical myelopathy (DCM) are limited by multicollinearity among predictors, whereby the high degree of correlation between covariates precludes detection of potentially significant findings. We apply partial least squares (PLS), a data-driven approach, to model multi-dimensional variance and dissociate patient phenotypes associated with functional, disability, and quality of life (QOL) outcomes in DCM. This was a post-hoc analysis of DCM patients enrolled in the prospective, multi-center AOSpine CSM-NA/CSM-I studies. Baseline clinical covariates evaluated as predictors included demographic (e.g., age, sex), clinical presentation (e.g., signs and symptoms), and treatment (e.g., surgical approach) characteristics. Outcomes evaluated included change in functional status (∆mJOA), disability (∆NDI), and QOL (∆SF-36) at 2 years. PLS was used to derive latent variables (LVs) relating specific clinical covariates with specific outcomes. Statistical significance was estimated using bootstrapping. Four hundred and seventy-eight patients met eligibility criteria. PLS identified 3 significant LVs. LV1 indicated an association between presentation with hand muscle atrophy, treatment by an approach other than laminectomy alone, and greater improvement in physical health-related QOL outcomes (e.g., SF-36 Physical Component Summary). LV2 suggested the presence of comorbidities (respiratory, rheumatologic, psychological) was associated with lesser improvements in functional status post-operatively (i.e., mJOA score). Finally, LV3 reflected an association between more severe myelopathy presenting with gait impairment and poorer mental health-related QOL outcomes (e.g., SF-36 Mental Component Summary). Using PLS, this analysis uncovered several novel insights pertaining to patients undergoing surgical decompression for DCM that warrant further investigation: (1) comorbid status and frailty heavily impact functional outcome; (2) presentation with hand muscle atrophy is associated with better physical QOL outcomes; and (3) more severe myelopathy with gait impairment is associated with poorer mental QOL outcomes.

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Tuberous Sclerosis

Novegno

Rocco

2017

Textbook of Pediatric Neurosurgery

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A partial least squares analysis of seizure outcomes following resective surgery for tuberous sclerosis complex in children with intractable epilepsy

Abstract: Using a data-driven, multivariate method, PLS, we describe patient phenotypes that are associated with seizure-freedom following resective surgery for TSC.

Cited by 13 publications

References 9 publications

Recognition and Optimization of Ingredients Treating Nitroglycerin-Induced Migraine Rats from Wuzhuyu Decoction

Recognition and Optimization of Ingredients Treating Nitroglycerin-Induced Migraine Rats from Wuzhuyu Decoction

A partial least squares analysis of functional status, disability, and quality of life after surgical decompression for degenerative cervical myelopathy

Tuberous Sclerosis

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