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Hee-Joon Bae

Other affiliations: Seoul National University
Bio: Hee-Joon Bae is an academic researcher from Seoul National University Bundang Hospital. The author has contributed to research in topics: Cognition & Angular gyrus. The author has an hindex of 3, co-authored 4 publications receiving 17 citations. Previous affiliations of Hee-Joon Bae include Seoul National University.

Papers
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Journal ArticleDOI
01 Jan 2021
TL;DR: In this paper, the authors integrated machine learning and Bayesian hierarchical modeling to enable a hemisphere-aware analysis of 1080 acute ischaemic stroke patients with deep profiling ∼3 months after stroke.
Abstract: Cognitive impairment is a frequent and disabling sequela of stroke. There is however incomplete understanding of how lesion topographies in the left and right cerebral hemisphere brain interact to cause distinct cognitive deficits. We integrated machine learning and Bayesian hierarchical modelling to enable a hemisphere-aware analysis of 1080 acute ischaemic stroke patients with deep profiling ∼3 months after stroke. We show the relevance of the left hemisphere in the prediction of language and memory assessments and relevance of the right hemisphere in the prediction of visuospatial functioning. Global cognitive impairments were equally well predicted by lesion topographies from both sides. Damage to the hippocampal and occipital regions on the left was particularly informative about lost naming and memory functions, while damage to these regions on the right was linked to lost visuospatial functioning. Global cognitive impairment was predominantly linked to lesioned tissue in the supramarginal and angular gyrus, the post-central gyrus as well as the lateral occipital and opercular cortices of the left hemisphere. Hence, our analysis strategy uncovered that lesion patterns with unique hemispheric distributions are characteristic of how cognitive capacity is lost due to ischaemic brain tissue damage.

17 citations

Posted ContentDOI
24 Aug 2020-bioRxiv
TL;DR: It is uncovered that lesion patterns with unique hemispheric distributions are characteristic of how cognitive capacity is lost due to ischemic brain tissue damage.
Abstract: Cognitive impairment is a frequent and disabling sequela of stroke. There is however incomplete understanding of how lesion topographies in the left and right cerebral hemisphere brain interact to cause distinct cognitive deficits. We integrated machine learning and Bayesian hierarchical modeling to enable hemisphere-aware analysis of 1080 subacute ischemic stroke patients with deep profiling ~3 months after stroke. We show relevance of the left hemisphere in the prediction of language and memory assessments, while global cognitive impairments were equally well predicted by lesion topographies from both sides. Damage to the hippocampal and occipital regions on the left were particularly informative about lost naming and memory function. Global cognitive impairment was predominantly linked to lesioned tissue in supramarginal and angular gyrus, the postcentral gyrus as well as the lateral occipital and opercular cortices of the left hemisphere. Hence, our analysis strategy uncovered that lesion patterns with unique hemispheric distributions are characteristic of how cognitive capacity is lost due to ischemic brain tissue damage.

13 citations

Journal ArticleDOI
TL;DR: The results suggested that preadmission statin therapy is associated with a lower incidence of AKI among critically ill patients; however, this effect might not be applicable for patients with eGFR <30 mL min-1 1.73 m-2.
Abstract: This study aimed to investigate the association between preadmission statin use and acute kidney injury (AKI) incidence among critically ill patients who needed admission to the intensive care unit (ICU) for medical care. Medical records of patients admitted to the ICU were reviewed. Patients who continuously took statin for >1 month prior to ICU admission were defined as statin users. We investigated whether preadmission statin use was associated with AKI incidence within 72 h after ICU admission and whether the association differs according to preadmission estimated glomerular filtration rate (eGFR; in mL min-1 1.73 m-2). Among 21,236 patients examined, 5756 (27.1%) were preadmission statin users and 15,480 (72.9%) were non-statin users. Total AKI incidence within 72 h after ICU admission was 31% lower in preadmission statin users than in non-statin users [odds ratio (OR), 0.69; 95% confidence interval (CI), 0.61⁻0.79; p 0.05). Our results suggested that preadmission statin therapy is associated with a lower incidence of AKI among critically ill patients; however, this effect might not be applicable for patients with eGFR <30 mL min-1 1.73 m-2.

11 citations

Journal ArticleDOI
TL;DR: Preadmission GC use among critically ill patients was associated with an increased 30-day mortality after ICU admission compared to non-GC use, and this association was more prevalent in preadmission GC users with diabetes mellitus and inPreadmissionGC users who took > 5 mg/day of prednisol one and methylprednisolone.
Abstract: This study aimed to investigate the association between preadmission glucocorticoid (GC) therapy and 30-day mortality in critically ill patients following admission to an intensive care unit (ICU). We aimed to determine whether this association differed according to daily GC dosage and type. We conducted a retrospective cohort study of adult patients admitted to a single tertiary academic hospital ICU from January 2012 to December 2017. We classified the patients regularly undergoing oral GC therapy as preadmission GC users, and those with no history of GC use were classified as non-GC users. The study included 24,929 patients, of whom 816 (3.3%) were preadmission GC users. Thirty-day mortality in preadmission GC users (173 of 816 patients) was 21.2% compared to 8.8% (2113 of 24,113 patients) in non-GC users. Multivariate Cox regression analysis showed that preadmission GC users had a 1.62-fold increase in 30-day mortality compared to non-GC users [hazard ratio (HR) 1.62, 95% confidence interval (CI) 1.29–2.03, P 5 mg of prednisolone in preadmission GC users showed 1.45-fold (HR 1.45, 95% CI 1.03–2.03, P = 0.033) and 1.67-fold (HR 1.67, 95% CI 1.25–2.24, P = 0.001) increases, respectively, in 30-day mortality after ICU admission. Moreover, prednisolone, methylprednisolone, and dexamethasone users in the preadmission GC users group showed 1.56-fold (HR 1.56, 95% CI 1.21–2.01, P = 0.001), 1.90-fold (HR 1.90, 95% CI 1.12–3.25, P = 0.018), and 1.30-fold (HR 1.30, 95% CI 1.05–1.50, P = 0.042) increases, respectively, in 30-day mortality compared to non-GC users. Preadmission GC use among critically ill patients was associated with an increased 30-day mortality after ICU admission compared to non-GC use. This association was more prevalent in preadmission GC users with diabetes mellitus and in preadmission GC users who took > 5 mg/day of prednisolone and methylprednisolone.

3 citations


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Journal ArticleDOI
TL;DR: The changing paradigms in AKI are discussed: From mechanisms to diagnostics, risk factors, and management of AKI, leading to future of precision and personalized approach to AKI management.
Abstract: Acute kidney injury (AKI) is a common clinical condition among patients admitted in the hospitals. The condition is associated with both increased short-term and long-term mortality. With the development of a standardized definition for AKI and the acknowledgment of the impact of AKI on patient outcomes, there has been increased recognition of AKI. Two advances from past decades, the usage of computer decision support and the discovery of AKI biomarkers, have the ability to advance the diagnostic method to and further management of AKI. The increasingly widespread use of electronic health records across hospitals has substantially increased the amount of data available to investigators and has shown promise in advancing AKI research. In addition, progress in the finding and validation of different forms of biomarkers of AKI within diversified clinical environments and has provided information and insight on testing, etiology and further prognosis of AKI, leading to future of precision and personalized approach to AKI management. In this this article, we discussed the changing paradigms in AKI: From mechanisms to diagnostics, risk factors, and management of AKI.

38 citations

Journal ArticleDOI
TL;DR: In this paper, a low-dimensional representation of anatomical stroke lesions was derived and a Bayesian hierarchical modeling framework tailored to estimate possible sex differences in lesion patterns linked to acute stroke severity.
Abstract: Acute ischemic stroke affects men and women differently. In particular, women are often reported to experience higher acute stroke severity than men. We derived a low-dimensional representation of anatomical stroke lesions and designed a Bayesian hierarchical modeling framework tailored to estimate possible sex differences in lesion patterns linked to acute stroke severity (National Institute of Health Stroke Scale). This framework was developed in 555 patients (38% female). Findings were validated in an independent cohort (n = 503, 41% female). Here, we show brain lesions in regions subserving motor and language functions help explain stroke severity in both men and women, however more widespread lesion patterns are relevant in female patients. Higher stroke severity in women, but not men, is associated with left hemisphere lesions in the vicinity of the posterior circulation. Our results suggest there are sex-specific functional cerebral asymmetries that may be important for future investigations of sex-stratified approaches to management of acute ischemic stroke.

36 citations

Journal ArticleDOI
07 Jul 2021-Neuron
TL;DR: In this paper, dual-processing theories of cognition have been used to explain human cognitive abilities, such as semantic understanding of world structure, logical reasoning, and communication via language, and they have been integrated with the global workspace theory to explain dynamic relay of information products between two systems.

33 citations

Journal ArticleDOI
TL;DR: An individual patient data meta-analysis found no clinical benefit from initiation of statin therapy in adult patients with ARDS, either overall or in predefined subgroups, and does not recommend initiation ofstatin therapy for the treatment of ARDS.
Abstract: Purpose We performed an individual patient data meta-analysis to assess the possible benefits and harms of statin therapy in adults with acute respiratory distress syndrome (ARDS) and to investigate effects in specific ARDS subgroups. Methods We identified randomised clinical trials up to 31 October 2016 that had investigated statin therapy versus placebo in patients with ARDS. Individual patient data from each trial were compiled. Conventional two-stage meta-analyses were performed for primary and secondary outcomes, and one-stage regression models with single treatment-covariate interactions for subgroup analyses. Risk of bias was assessed using the Cochrane Risk of Bias Tool. Results Six trials with a total of 1755 patients were included. For the primary outcomes, there was no significant effect of statin therapy on 28-day mortality [relative risk (RR) 1.03, 95% CI 0.86-1.23], ventilator-free days (mean difference 0.34 days, 95% CI -0.68 to 1.36) or serious adverse events (RR 1.14, 95% CI 0.84-1.53). There was a significantly increased incidence of raised serum creatine kinase or transaminase levels with statin therapy (106/879; 12.1%) versus control (78/876; 8.9%) (RR 1.40, 95% CI 1.07-1.83, p = 0.015). There were no significant treatment-covariate interactions in the predefined subgroups investigated. Conclusions We found no clinical benefit from initiation of statin therapy in adult patients with ARDS, either overall or in predefined subgroups. While there was an increased incidence of raised serum creatine kinase and transaminase levels, there was no difference in serious adverse events among groups. Therefore, we do not recommend initiation of statin therapy for the treatment of ARDS.

29 citations

Journal ArticleDOI
TL;DR: In this article , the authors identify associations between outcomes and brain regions involved in ischemic lesions using unsupervised dimensionality reduction techniques and bayesian regression to predict the 90-day mRS score of patients with endovascular thrombectomy.
Abstract: The care of patients with large vessel occlusion (LVO) stroke has been revolutionized by endovascular thrombectomy (EVT). While EVT has a large effect size, most patients treated with EVT remain disabled or die within 90 days. A better understanding of outcomes may influence EVT selection criteria, novel therapies, and prognostication. We sought to identify associations between outcomes and brain regions involved in ischemic lesions.For this cohort study, consecutive patients with LVO who were treated with EVT and underwent post-EVT MRI were identified from a tertiary referral center (2011-2019). Acute ischemic lesions were manually segmented from diffusion-weighted imaging and spatially normalized. Individual lesions were parcellated (atlas-defined 94 cortical regions, 14 subcortical nuclei, 20 white matter tracts) and reduced to 10 essential lesion patterns with the use of unsupervised dimensionality reduction techniques. Ninety-day modified Rankin Scale (mRS) score (>2) was modeled via bayesian regression, taking the 10 lesion patterns as inputs and controlling for lesion size, age, sex, acute NIH Stroke Scale (NIHSS) score, alteplase, prior stroke, intracerebral hemorrhage, and good reperfusion (Thrombolysis in Cerebral Infarction 2b-3). In comparative analyses, 90-day mRS score was modeled considering covariates only, and compartment-wise relevances for acute stroke severity and 90-day mRS score were evaluated.There were 151 patients with LVO identified (age 68 ± 15 years, 52% female). The median NIHSS score was 16 (interquartile range 13-20); 56% had mRS score >2. Lesion locations predictive of 90-day mRS score involved bilateral but left hemispherically more pronounced precentral and postcentral gyri, insular and opercular cortex, and left putamen and caudate (area under the curve 0.91, highest probability density interval [HPDI] covering 90% certainty 0.90-0.92). The lesion location model outperformed the simpler model relying on covariates only (bayesian model comparison of 97% weight to the model with vs 3% weight to the model without lesion location). While lesions affecting subcortical nuclei had the highest relevance for stroke severity (posterior distribution mean 0.75, 90% HPDI 0.256-1.31), lesions affecting white matter tracts had the highest relevance for 90-day mRS score (0.656, 90% HPDI 0.0864-1.12).These data describe the significance for outcomes of specific brain regions involved in ischemic lesions on MRI after EVT. Future work in additional datasets is needed to confirm these granular findings.

14 citations